sGraSP: A graph-based method for the derivation of subject-specific functional parcellations of the brain

•We describe sGraSP, a novel subject-specific functional parcellation method.•sGraSP is tested using a large neurodevelopmental cohort (859 scans total).•Additional tests are generated by mixing subject and population signal.•sGraSP outperforms simpler approaches based on Voronoi tessellations.•Neur...

Full description

Saved in:
Bibliographic Details
Published inJournal of neuroscience methods Vol. 277; pp. 1 - 20
Main Authors Honnorat, N., Satterthwaite, T.D., Gur, R.E., Gur, R.C., Davatzikos, C.
Format Journal Article
LanguageEnglish
Published Netherlands Elsevier B.V 01.02.2017
Subjects
Adolescent
Algorithms
Brain - diagnostic imaging
Child
Cohort Studies
Computer Graphics
Connectome
Female
Humans
Image Processing, Computer-Assisted
Magnetic Resonance Imaging
Male
Models, Neurological
Oxygen - blood
Parcellation
Rest
Rs-fMRI
Tessellation
Young Adult
Tessellation
Parcellation
Rs-fMRI
Online AccessGet full text

Cover

Abstract •We describe sGraSP, a novel subject-specific functional parcellation method.•sGraSP is tested using a large neurodevelopmental cohort (859 scans total).•Additional tests are generated by mixing subject and population signal.•sGraSP outperforms simpler approaches based on Voronoi tessellations.•Neurodevelopmental trends are robustly captured by sGraSP for all the signal mixing. Resting-state fMRI (rs-fMRI) has emerged as a prominent tool for the study of functional connectivity. The identification of the regions associated with the different brain functions has received significant interest. However, most of the studies conducted so far have focused on the definition of a common set of regions, valid for an entire population. The variation of the functional regions within a population has rarely been accounted for. In this paper, we propose sGraSP, a graph-based approach for the derivation of subject-specific functional parcellations. Our method generates first a common parcellation for an entire population, which is then adapted to each subject individually. Several cortical parcellations were generated for 859 children being part of the Philadelphia Neurodevelopmental Cohort. The stability of the parcellations generated by sGraSP was tested by mixing population and subject rs-fMRI signals, to generate subject-specific parcels increasingly closer to the population parcellation. We also checked if the parcels generated by our method were better capturing a development trend underlying our data than the original parcels, defined for the entire population. We compared sGraSP with a simpler and faster approach based on a Voronoi tessellation, by measuring their ability to produce functionally coherent parcels adapted to the subject data. Our parcellations outperformed the Voronoi tessellations. The parcels generated by sGraSP vary consistently with respect to signal mixing, the results are highly reproducible and the neurodevelopmental trend is better captured with the subject-specific parcellation, under all the signal mixing conditions.
AbstractList Resting-state fMRI (rs-fMRI) has emerged as a prominent tool for the study of functional connectivity. The identification of the regions associated with the different brain functions has received significant interest. However, most of the studies conducted so far have focused on the definition of a common set of regions, valid for an entire population. The variation of the functional regions within a population has rarely been accounted for.BACKGROUNDResting-state fMRI (rs-fMRI) has emerged as a prominent tool for the study of functional connectivity. The identification of the regions associated with the different brain functions has received significant interest. However, most of the studies conducted so far have focused on the definition of a common set of regions, valid for an entire population. The variation of the functional regions within a population has rarely been accounted for.In this paper, we propose sGraSP, a graph-based approach for the derivation of subject-specific functional parcellations. Our method generates first a common parcellation for an entire population, which is then adapted to each subject individually.NEW METHODIn this paper, we propose sGraSP, a graph-based approach for the derivation of subject-specific functional parcellations. Our method generates first a common parcellation for an entire population, which is then adapted to each subject individually.Several cortical parcellations were generated for 859 children being part of the Philadelphia Neurodevelopmental Cohort. The stability of the parcellations generated by sGraSP was tested by mixing population and subject rs-fMRI signals, to generate subject-specific parcels increasingly closer to the population parcellation. We also checked if the parcels generated by our method were better capturing a development trend underlying our data than the original parcels, defined for the entire population.RESULTSSeveral cortical parcellations were generated for 859 children being part of the Philadelphia Neurodevelopmental Cohort. The stability of the parcellations generated by sGraSP was tested by mixing population and subject rs-fMRI signals, to generate subject-specific parcels increasingly closer to the population parcellation. We also checked if the parcels generated by our method were better capturing a development trend underlying our data than the original parcels, defined for the entire population.We compared sGraSP with a simpler and faster approach based on a Voronoi tessellation, by measuring their ability to produce functionally coherent parcels adapted to the subject data.COMPARISON WITH EXISTING METHODSWe compared sGraSP with a simpler and faster approach based on a Voronoi tessellation, by measuring their ability to produce functionally coherent parcels adapted to the subject data.Our parcellations outperformed the Voronoi tessellations. The parcels generated by sGraSP vary consistently with respect to signal mixing, the results are highly reproducible and the neurodevelopmental trend is better captured with the subject-specific parcellation, under all the signal mixing conditions.CONCLUSIONSOur parcellations outperformed the Voronoi tessellations. The parcels generated by sGraSP vary consistently with respect to signal mixing, the results are highly reproducible and the neurodevelopmental trend is better captured with the subject-specific parcellation, under all the signal mixing conditions.
•We describe sGraSP, a novel subject-specific functional parcellation method.•sGraSP is tested using a large neurodevelopmental cohort (859 scans total).•Additional tests are generated by mixing subject and population signal.•sGraSP outperforms simpler approaches based on Voronoi tessellations.•Neurodevelopmental trends are robustly captured by sGraSP for all the signal mixing. Resting-state fMRI (rs-fMRI) has emerged as a prominent tool for the study of functional connectivity. The identification of the regions associated with the different brain functions has received significant interest. However, most of the studies conducted so far have focused on the definition of a common set of regions, valid for an entire population. The variation of the functional regions within a population has rarely been accounted for. In this paper, we propose sGraSP, a graph-based approach for the derivation of subject-specific functional parcellations. Our method generates first a common parcellation for an entire population, which is then adapted to each subject individually. Several cortical parcellations were generated for 859 children being part of the Philadelphia Neurodevelopmental Cohort. The stability of the parcellations generated by sGraSP was tested by mixing population and subject rs-fMRI signals, to generate subject-specific parcels increasingly closer to the population parcellation. We also checked if the parcels generated by our method were better capturing a development trend underlying our data than the original parcels, defined for the entire population. We compared sGraSP with a simpler and faster approach based on a Voronoi tessellation, by measuring their ability to produce functionally coherent parcels adapted to the subject data. Our parcellations outperformed the Voronoi tessellations. The parcels generated by sGraSP vary consistently with respect to signal mixing, the results are highly reproducible and the neurodevelopmental trend is better captured with the subject-specific parcellation, under all the signal mixing conditions.
Resting-state fMRI (rs-fMRI) has emerged as a prominent tool for the study of functional connectivity. The identification of the regions associated with the different brain functions has received significant interest. However, most of the studies conducted so far have focused on the definition of a common set of regions, valid for an entire population. The variation of the functional regions within a population has rarely been accounted for. In this paper, we propose sGraSP, a graph-based approach for the derivation of subject-specific functional parcellations. Our method generates first a common parcellation for an entire population, which is then adapted to each subject individually. Several cortical parcellations were generated for 859 children being part of the Philadelphia Neurodevelopmental Cohort. The stability of the parcellations generated by sGraSP was tested by mixing population and subject rs-fMRI signals, to generate subject-specific parcels increasingly closer to the population parcellation. We also checked if the parcels generated by our method were better capturing a development trend underlying our data than the original parcels, defined for the entire population. We compared sGraSP with a simpler and faster approach based on a Voronoi tessellation, by measuring their ability to produce functionally coherent parcels adapted to the subject data. Our parcellations outperformed the Voronoi tessellations. The parcels generated by sGraSP vary consistently with respect to signal mixing, the results are highly reproducible and the neurodevelopmental trend is better captured with the subject-specific parcellation, under all the signal mixing conditions.
Author Satterthwaite, T.D.
Gur, R.E.
Davatzikos, C.
Honnorat, N.
Gur, R.C.
AuthorAffiliation a Center for Biomedical Image Computing and Analytics, Department of Radiology, University of Pennsylvania, Philadelphia PA 19104, USA
b Brain and Behavior Laboratory, Department of Psychiatry, University of Pennsylvania, Philadelphia PA 19104, USA
AuthorAffiliation_xml – name: a Center for Biomedical Image Computing and Analytics, Department of Radiology, University of Pennsylvania, Philadelphia PA 19104, USA
– name: b Brain and Behavior Laboratory, Department of Psychiatry, University of Pennsylvania, Philadelphia PA 19104, USA
Author_xml – sequence: 1
  givenname: N.
  surname: Honnorat
  fullname: Honnorat, N.
  email: nicolas.honnorat@uphs.upenn.edu
  organization: Center for Biomedical Image Computing and Analytics, Department of Radiology, University of Pennsylvania, Philadelphia, PA 19104, USA
– sequence: 2
  givenname: T.D.
  surname: Satterthwaite
  fullname: Satterthwaite, T.D.
  organization: Center for Biomedical Image Computing and Analytics, Department of Radiology, University of Pennsylvania, Philadelphia, PA 19104, USA
– sequence: 3
  givenname: R.E.
  surname: Gur
  fullname: Gur, R.E.
  organization: Brain and Behavior Laboratory, Department of Psychiatry, University of Pennsylvania, Philadelphia, PA 19104, USA
– sequence: 4
  givenname: R.C.
  surname: Gur
  fullname: Gur, R.C.
  organization: Brain and Behavior Laboratory, Department of Psychiatry, University of Pennsylvania, Philadelphia, PA 19104, USA
– sequence: 5
  givenname: C.
  surname: Davatzikos
  fullname: Davatzikos, C.
  email: christos.davatzikos@uphs.upenn.edu
  organization: Center for Biomedical Image Computing and Analytics, Department of Radiology, University of Pennsylvania, Philadelphia, PA 19104, USA
BackLink https://www.ncbi.nlm.nih.gov/pubmed/27913211$$D View this record in MEDLINE/PubMed
BookMark eNqFUU-L1DAcDbLizq5-hSVHL61JmjStiLgsugoLCip4C0n6605KJ6lJO-C3N53ZEfWypyS8f-S9C3TmgweErigpKaH1q6EcPCw7mLcly--S0pJQ_gRtaCNZUcvmxxnaZEAUhElyji5SGgghvCX1M3TOZEsrRukGuXQb9dcvr_E1vo962hZGJ-jwahw63IeI5y3gDqLb69kFj0OP02IGsHORJrCudxb3i7crqEc86WhhHA_ctJJXuYna-efoaa_HBC8ezkv0_cP7bzcfi7vPt59uru8KyyWdi1Zw2_Da2oZpo2VlWMdBa96LWjOa7w0H2XbUaNP2VWeFtK1sDdScCwKVqC7R26PvtJgddBb8HPWopuh2Ov5SQTv1L-LdVt2HvRJMVBVh2eDlg0EMPxdIs9q5dPiUh7AkRRsumkrKes26-jvrT8ip30x4cyTYGFKK0Cvr5kM5OdqNihK1zqkGdZpTrXMqSlWeM8vr_-SnhEeF745CyE3vHUSVrANvoXMxT6e64B6z-A1xKcEP
CitedBy_id crossref_primary_10_1016_j_media_2024_103297
crossref_primary_10_1186_s40708_018_0083_0
crossref_primary_10_1016_j_ijpsycho_2019_01_002
crossref_primary_10_1016_j_conb_2018_12_010
crossref_primary_10_1038_s41598_020_73328_1
Cites_doi 10.1002/jmri.1880070623
10.1002/hbm.1048
10.1214/aos/1176350263
10.1002/hbm.20210
10.1037/0021-9010.72.1.146
10.1016/S0927-5398(03)00007-0
10.1016/j.csda.2010.12.006
10.1073/pnas.0705843104
10.1016/j.neuron.2012.12.028
10.1109/TSP.2014.2360826
10.1016/j.neuroimage.2013.05.081
10.1145/321992.321993
10.1006/nimg.1998.0395
10.1007/BF01908075
10.1002/hbm.20662
10.1523/JNEUROSCI.0333-10.2010
10.1073/pnas.0811879106
10.1016/j.neuroimage.2008.12.015
10.1093/cercor/bhp085
10.1038/nrn2575
10.1371/journal.pcbi.1000381
10.1109/34.969114
10.1038/nn.4135
10.1016/j.neuroimage.2009.06.060
10.1007/s10115-008-0150-6
10.1016/j.neuroimage.2010.08.063
10.3174/ajnr.A2330
10.1016/j.jmva.2014.06.018
10.1109/TPAMI.2004.1262177
10.1016/j.neuroimage.2009.10.003
10.1016/S0730-725X(02)00503-9
10.1152/jn.00338.2011
10.1145/28869.28874
10.1214/14-EJS977
10.1109/TSP.2014.2355779
10.1093/cercor/bhm241
10.1016/j.neuroimage.2012.08.052
10.1002/(SICI)1096-9861(19990920)412:2<319::AID-CNE10>3.0.CO;2-7
10.1016/j.neuroimage.2014.11.008
10.1016/j.neuroimage.2016.05.035
10.1214/10-AOAS396
10.1007/s11263-011-0437-z
10.1016/j.neuroimage.2012.09.067
10.1016/j.neuroimage.2009.12.106
10.1001/jamapsychiatry.2013.3469
10.1016/j.neuroimage.2013.03.024
10.1109/TPAMI.2004.60
10.1162/089976604773717621
10.1016/j.neuroimage.2009.12.011
10.1038/nrn2201
10.1073/pnas.1400374111
10.1109/TSP.2010.2053029
10.1002/hbm.21333
10.1073/pnas.0905267106
10.1109/TSP.2011.2138698
10.1073/pnas.1121329109
10.1073/pnas.91.11.5033
10.1016/j.media.2012.05.002
10.1371/journal.pone.0002001
10.1016/j.neuroimage.2005.08.040
10.1016/j.neuroimage.2013.07.064
10.1016/j.neuron.2015.12.001
10.1016/j.neuroimage.2009.10.016
10.1016/j.neuroimage.2014.08.022
10.1038/nn.4164
10.1016/j.neuroimage.2013.05.099
10.1016/j.neuroimage.2010.02.082
10.1016/j.neuroimage.2014.05.043
10.1016/j.neuroimage.2011.09.015
10.1016/j.cortex.2015.11.006
10.1016/j.neuron.2011.09.006
10.1093/cercor/bhi016
ContentType Journal Article
Copyright 2016 Elsevier B.V.
Copyright © 2016 Elsevier B.V. All rights reserved.
Copyright_xml – notice: 2016 Elsevier B.V.
– notice: Copyright © 2016 Elsevier B.V. All rights reserved.
DBID AAYXX
CITATION
CGR
CUY
CVF
ECM
EIF
NPM
7X8
5PM
DOI 10.1016/j.jneumeth.2016.11.014
DatabaseName CrossRef
Medline
MEDLINE
MEDLINE (Ovid)
MEDLINE
MEDLINE
PubMed
MEDLINE - Academic
PubMed Central (Full Participant titles)
DatabaseTitle CrossRef
MEDLINE
Medline Complete
MEDLINE with Full Text
PubMed
MEDLINE (Ovid)
MEDLINE - Academic
DatabaseTitleList MEDLINE - Academic

MEDLINE
Database_xml – sequence: 1
  dbid: NPM
  name: PubMed
  url: https://proxy.k.utb.cz/login?url=http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed
  sourceTypes: Index Database
– sequence: 2
  dbid: EIF
  name: MEDLINE
  url: https://proxy.k.utb.cz/login?url=https://www.webofscience.com/wos/medline/basic-search
  sourceTypes: Index Database
DeliveryMethod fulltext_linktorsrc
Discipline Medicine
Anatomy & Physiology
EISSN 1872-678X
EndPage 20
ExternalDocumentID PMC5253302
27913211
10_1016_j_jneumeth_2016_11_014
S016502701630276X
Genre Journal Article
GrantInformation_xml – fundername: NIMH NIH HHS
  grantid: R01 MH107235
– fundername: NIMH NIH HHS
  grantid: RC2 MH089983
– fundername: NIMH NIH HHS
  grantid: K23 MH098130
– fundername: NIMH NIH HHS
  grantid: RC2 MH089924
– fundername: NIBIB NIH HHS
  grantid: R01 EB022573
– fundername: NIMH NIH HHS
  grantid: R01 MH107703
– fundername: NIMH NIH HHS
  grantid: P50 MH096891
– fundername: NIA NIH HHS
  grantid: R01 AG014971
GroupedDBID ---
--K
--M
-~X
.~1
0R~
1B1
1RT
1~.
1~5
4.4
457
4G.
5GY
5RE
7-5
71M
8P~
9JM
AABNK
AACTN
AADPK
AAEDT
AAEDW
AAIAV
AAIKJ
AAKOC
AALRI
AAOAW
AAXLA
AAXUO
ABCQJ
ABFNM
ABFRF
ABJNI
ABMAC
ABYKQ
ACDAQ
ACGFO
ACGFS
ACIUM
ACRLP
ADBBV
ADEZE
AEBSH
AEFWE
AEKER
AENEX
AFKWA
AFTJW
AFXIZ
AGUBO
AGWIK
AGYEJ
AIEXJ
AIKHN
AITUG
AJBFU
AJOXV
ALMA_UNASSIGNED_HOLDINGS
AMFUW
AMRAJ
AXJTR
BKOJK
BLXMC
CS3
DU5
EBS
EFJIC
EFLBG
EJD
EO8
EO9
EP2
EP3
F5P
FDB
FIRID
FNPLU
FYGXN
G-Q
GBLVA
IHE
J1W
K-O
KOM
L7B
M2V
M41
MO0
MOBAO
N9A
O-L
O9-
OAUVE
OZT
P-8
P-9
P2P
PC.
Q38
ROL
RPZ
SDF
SDG
SDP
SES
SPCBC
SSN
SSZ
T5K
~G-
.55
.GJ
29L
53G
5VS
AAQFI
AAQXK
AATTM
AAXKI
AAYWO
AAYXX
ABWVN
ABXDB
ACRPL
ACVFH
ADCNI
ADMUD
ADNMO
AEIPS
AEUPX
AFJKZ
AFPUW
AGCQF
AGHFR
AGQPQ
AGRNS
AHHHB
AIGII
AIIUN
AKBMS
AKRWK
AKYEP
ANKPU
APXCP
ASPBG
AVWKF
AZFZN
BNPGV
CITATION
FEDTE
FGOYB
G-2
HMQ
HVGLF
HZ~
R2-
RIG
SEW
SNS
SSH
WUQ
X7M
ZGI
CGR
CUY
CVF
ECM
EFKBS
EIF
NPM
7X8
5PM
ID FETCH-LOGICAL-c471t-954c846cc82aba73b2d4eaa4f56a21d4e84e79d1bab9f3dc57c979be64450e353
IEDL.DBID .~1
ISSN 0165-0270
1872-678X
IngestDate Thu Aug 21 14:14:09 EDT 2025
Thu Jul 10 17:32:23 EDT 2025
Mon Jul 21 05:53:48 EDT 2025
Tue Jul 01 02:57:07 EDT 2025
Thu Apr 24 23:16:04 EDT 2025
Fri Feb 23 02:33:09 EST 2024
IsDoiOpenAccess false
IsOpenAccess true
IsPeerReviewed true
IsScholarly true
Keywords Tessellation
Parcellation
Rs-fMRI
Language English
License Copyright © 2016 Elsevier B.V. All rights reserved.
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-c471t-954c846cc82aba73b2d4eaa4f56a21d4e84e79d1bab9f3dc57c979be64450e353
Notes ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
OpenAccessLink http://doi.org/10.1016/j.jneumeth.2016.11.014
PMID 27913211
PQID 1845837765
PQPubID 23479
PageCount 20
ParticipantIDs pubmedcentral_primary_oai_pubmedcentral_nih_gov_5253302
proquest_miscellaneous_1845837765
pubmed_primary_27913211
crossref_citationtrail_10_1016_j_jneumeth_2016_11_014
crossref_primary_10_1016_j_jneumeth_2016_11_014
elsevier_sciencedirect_doi_10_1016_j_jneumeth_2016_11_014
ProviderPackageCode CITATION
AAYXX
PublicationCentury 2000
PublicationDate 2017-02-01
PublicationDateYYYYMMDD 2017-02-01
PublicationDate_xml – month: 02
  year: 2017
  text: 2017-02-01
  day: 01
PublicationDecade 2010
PublicationPlace Netherlands
PublicationPlace_xml – name: Netherlands
PublicationTitle Journal of neuroscience methods
PublicationTitleAlternate J Neurosci Methods
PublicationYear 2017
Publisher Elsevier B.V
Publisher_xml – name: Elsevier B.V
References Varoquaux, Gramfort, Poline, Thirion (bib0440) 2010
Ledoit, Wolf (bib0265) 2003; 10
Bullmore, Sporns (bib0070) 2009, March; 10
Parisot, Arslan, Passerat-Palmbach, Wells, Rueckert (bib0320) 2015
Gonzalez-Castillo, Handwerker, Robinson, Hoy, Buchanan, Saad, Bandettini (bib0185) 2014; 8.
Kolmogorov, Zabih (bib0240) 2004; 26
Hsieh, Sustik, Dhillon, Ravikumar, Poldrack (bib0215) 2013
Amunts, Schleicher, Bürgel, Mohlberg, Uylings, Zilles (bib0005) 1999; 412
Birn, Molloy, Patriat, Parker, Meier, Kirk, Nair, Meyerand, Prabhakaran (bib0045) 2013; 83
Pfitzner, Leibbrandt, Powers (bib0335) 2009; 19
Calhoun, Adali, Pearlson, Pekar (bib0080) 2001; 14
Bürgel, Amunts, Hoemke, Mohlberg, Gilsbach, Zilles (bib0075) 2006; 29
Fredman, Tarjan (bib0175) 1987; 34
Thirion, Flandin, Pinel, Roche, Ciuciu, Poline (bib0410) 2006; 27
Salvador, Suckling, Coleman, Pickard, Menon, Bullmore (bib0360) 2005; 15
Honnorat, Eavani, Satterthwaite, Gur, Gur, Davatzikos (bib0205) 2015; 106
Olhede, Wolfe (bib0310) 2014; 111
van den Heuvel, Mandl, Hulshoff Pol (bib0425) 2008; 3
Boykov, Veksler, Zabih (bib0060) 2001; 23
Chen, Wiesel, Eldar, Hero (bib0090) 2010; 58
Ryali, Chen, Supekar, Menon (bib0350) 2013; 65
Scheperjans, Eickhoff, Hömke, Mohlberg, Hermann, Amunts, Zilles (bib0375) 2008; 18
Finn, Shen, Scheinost, Rosenberg, Huang, Chun, Papademetris, Constable (bib0160) 2015; 18
Lashkari, Vul, Kanwisher, Golland (bib0260) 2010; 50
Dale, Fischl, Sereno (bib0120) 1999; 9
Fisher, Sun (bib0165) 2011; 55
Power, Cohen, Nelson, Wig, Barnes, Church, Vogel, Laumann, Miezin, Schlaggar, Petersen (bib0340) 2011; 72
Smith, Miller, Salimi-Khorshidi, Webster, Beckmann, Nichols, Ramsey, Woolrich (bib0405) 2011; 54
Chang, Glover (bib0085) 2010; 50
Greve, Fischl (bib0190) 2009; 48
Varoquaux, Gramfort, Pedregosa, Michel, Thirion (bib0435) 2011
Mueller, Wang, Fox, Yeo, Sepulcre, Sabuncu, Shafee, Lu, Liu (bib0290) 2013; 77
Ng, Varoquaux, Poline, Thirion (bib0300) 2012
Arslan, Parisot, Rueckert (bib0015) 2015
Tyler (bib0420) 1987
Clayton Silver, Dunlap (bib0100) 1987; 72
Baker, Holmes, Masters, Yeo, Krienen, Buckner, Öngür (bib0020) 2014; 71
Filippini, MacIntosh, Hough, Goodwin, Frisoni, Smith, Matthews, Beckmann, Mackay (bib0155) 2009; 106
Yeo, Krienen, Sepulcre, Sabuncu, Lashkari, Hollinshead, Roffman, Smoller, Zöllei, Polimeni, Fischl, Liu, Buckner (bib0455) 2011; 106
Economo, Koskinas (bib0130) 1925
Langs, Wang, Golland, Mueller, Pan, Sabuncu, Sun, Li, Liu (bib0255) 2015, September
Cordes, Haughton, Carew, Arfanakis, Maravilla (bib0105) 2002; 20
Fox, Raichle (bib0170) 2007; 8
Smith, Fox, Miller, Glahn, Fox, Mackay, Filippini, Watkins, Toro, Laird, Beckmann (bib0395) 2009; 106
Gulshan, Rother, Criminisi, Blake, Zisserman (bib0195) 2010
Smith, Miller, Moeller, Xu, Auerbach, Woolrich, Beckmann, Jenkinson, Andersson, Glasser, Van Essen, Feinberg, Yacoub, Ugurbil (bib0400) 2012; 109
Rubinov, Sporns (bib0345) 2010; 52
Anderson, Ferguson, Lopez-Larson, Yurgelun-Todd (bib0010) 2011; 32
Baldassano, Beck, Fei-Fei (bib0025) 2015
Satterthwaite, Elliott, Ruparel, Loughead, Prabhakaran, Calkins, Hopson, Jackson, Keefe, Riley, Mentch, Sleiman, Verma, Davatzikos, Hakonarson, Gur, Gur (bib0370) 2014; 86
Blumensath, Jbabdi, Glasser, Van Essen, Ugurbil, Behrens, Smith (bib0050) 2013; 76
Sabuncu, Singer, Conroy, Bryan, Ramadge, Haxby (bib0355) 2010; 20
Langs, Golland, Tie, Rigolo, Golby (bib0250) 2010
Wang, Buckner, Fox, Holt, Holmes, Stoecklein, Langs, Pan, Qian, Li, Baker, Stufflebeam, Wang, Wang, Hong, Liu (bib0450) 2015; 18
Varoquaux, Baronnet, Kleinschmidt, Fillard, Thirion (bib0430) 2010
Ng, Abugharbieh, Varoquaux, Poline, Thirion (bib0295) 2011
Kim, Lee, Jo, Kim, Lee, Kim, Seo, Cox, Na, Kim, Saad (bib0235) 2010; 49
Baumgartner, Scarth, Teichtmeister, Somorjai, Moser (bib0030) 1997; 7
Veksler (bib0445) 2008
Chen, Wiesel, Hero (bib0095) 2011; 59
Delong, Osokin, Isack, Boykov (bib0125) 2012; 96
Schultz, Chhatwal, Huijbers, Hedden, van Dijk, McLaren, Ward, Wigman, Sperling (bib0380) 2014; 102
Brodmann (bib0065) 1909
Craddock, James, Holtzheimer, Hu, Mayberg (bib0115) 2012; 33
Fiecas, Ombao (bib0145) 2011; 5
Hubert, Arabie (bib0220) 1985; 2
Shen, Tokoglu, Papademetris, Constable (bib0385) 2013; 82
Johnson (bib0230) 1977; 24
Zilles, Amunts (bib0460) 2015; 88
Fair, Cohen, Power, Dosenbach, Church, Miezin, Schlaggar, Petersen (bib0135) 2009; 5
Ng, Varoquaux, Poline, Thirion (bib0305) 2013
Henssen, Zilles, Palomero-Gallagher, Schleicher, Mohlberg, Gerboga, Eickhoff, Bludau, Amunts (bib0200) 2016; 75
Pascal, Chitour, Quek (bib0330) 2014; 62
Mezer, Yovel, Pasternak, Gorfine, Assaf (bib0285) 2009; 45
Beckmann, Mackay, Filippini, Smith (bib0035) 2009
Lynall, Bassett, Kerwin, McKenna, Kitzbichler, Muller, Bullmore (bib0275) 2010; 30
Jenkinson, Beckmann, Behrens, Woolrich, Smith (bib0225) 2012; 62
Couillet, McKay (bib0110) 2014; 131
Ollila, Tyler (bib0315) 2014; 62
Parisot, Arslan, Passerat-Palmbach, Wells, Rueckert (bib0325) 2016; 136
Fiecas, von Sachs (bib0150) 2014; 8
Tononi, Sporns, Edelman (bib0415) 1994; 91
Leistedt, Coumans, Dumont, Lanquart, Stam, Linkowski (bib0270) 2009; 30
Lange, Roth, Braun, Buhmann (bib0245) 2004; 16
Fair, Dosenbach, Church, Cohen, Brahmbhatt, Miezin, Barch, Raichle, Petersen, Schlaggar (bib0140) 2007; 104
Hsieh, Sustik, Dhillon, Ravikumar (bib0210) 2014; 15
Bellec, Rosa-Neto, Lyttelton, Benali, Evans (bib0040) 2010; 51
Boykov, Kolmogorov (bib0055) 2004; 26
Shou, Eloyan, Nebel, Mejia, Pekar, Mostofsky, Caffo, Lindquist, Crainiceanu (bib0390) 2014; 15
Satterthwaite, Elliott, Gerraty, Ruparel, Loughead, Calkins, Eickhoff, Hakonarson, Gur, Gur, Wolf (bib0365) 2013; 64
Fritsch, Varoquaux, Thyreau, Poline, Thirion (bib0180) 2012; 16
Meilă (bib0280) 2005
Rubinov (10.1016/j.jneumeth.2016.11.014_bib0345) 2010; 52
Brodmann (10.1016/j.jneumeth.2016.11.014_bib0065) 1909
Pfitzner (10.1016/j.jneumeth.2016.11.014_bib0335) 2009; 19
Fair (10.1016/j.jneumeth.2016.11.014_bib0140) 2007; 104
Mezer (10.1016/j.jneumeth.2016.11.014_bib0285) 2009; 45
Satterthwaite (10.1016/j.jneumeth.2016.11.014_bib0365) 2013; 64
Parisot (10.1016/j.jneumeth.2016.11.014_bib0325) 2016; 136
Johnson (10.1016/j.jneumeth.2016.11.014_bib0230) 1977; 24
Satterthwaite (10.1016/j.jneumeth.2016.11.014_bib0370) 2014; 86
Gulshan (10.1016/j.jneumeth.2016.11.014_bib0195) 2010
Chen (10.1016/j.jneumeth.2016.11.014_bib0090) 2010; 58
Zilles (10.1016/j.jneumeth.2016.11.014_bib0460) 2015; 88
Baumgartner (10.1016/j.jneumeth.2016.11.014_bib0030) 1997; 7
Hsieh (10.1016/j.jneumeth.2016.11.014_bib0215) 2013
Varoquaux (10.1016/j.jneumeth.2016.11.014_bib0430) 2010
Yeo (10.1016/j.jneumeth.2016.11.014_bib0455) 2011; 106
Amunts (10.1016/j.jneumeth.2016.11.014_bib0005) 1999; 412
Veksler (10.1016/j.jneumeth.2016.11.014_bib0445) 2008
Fair (10.1016/j.jneumeth.2016.11.014_bib0135) 2009; 5
Kim (10.1016/j.jneumeth.2016.11.014_bib0235) 2010; 49
Varoquaux (10.1016/j.jneumeth.2016.11.014_bib0440) 2010
Anderson (10.1016/j.jneumeth.2016.11.014_bib0010) 2011; 32
Fredman (10.1016/j.jneumeth.2016.11.014_bib0175) 1987; 34
Shou (10.1016/j.jneumeth.2016.11.014_bib0390) 2014; 15
Cordes (10.1016/j.jneumeth.2016.11.014_bib0105) 2002; 20
Gonzalez-Castillo (10.1016/j.jneumeth.2016.11.014_bib0185) 2014; 8.
van den Heuvel (10.1016/j.jneumeth.2016.11.014_bib0425) 2008; 3
Olhede (10.1016/j.jneumeth.2016.11.014_bib0310) 2014; 111
Pascal (10.1016/j.jneumeth.2016.11.014_bib0330) 2014; 62
Filippini (10.1016/j.jneumeth.2016.11.014_bib0155) 2009; 106
Greve (10.1016/j.jneumeth.2016.11.014_bib0190) 2009; 48
Leistedt (10.1016/j.jneumeth.2016.11.014_bib0270) 2009; 30
Smith (10.1016/j.jneumeth.2016.11.014_bib0395) 2009; 106
Hsieh (10.1016/j.jneumeth.2016.11.014_bib0210) 2014; 15
Sabuncu (10.1016/j.jneumeth.2016.11.014_bib0355) 2010; 20
Bullmore (10.1016/j.jneumeth.2016.11.014_bib0070) 2009; 10
Thirion (10.1016/j.jneumeth.2016.11.014_bib0410) 2006; 27
Blumensath (10.1016/j.jneumeth.2016.11.014_bib0050) 2013; 76
Langs (10.1016/j.jneumeth.2016.11.014_bib0255) 2015
Ng (10.1016/j.jneumeth.2016.11.014_bib0295) 2011
Fox (10.1016/j.jneumeth.2016.11.014_bib0170) 2007; 8
Fiecas (10.1016/j.jneumeth.2016.11.014_bib0145) 2011; 5
Fritsch (10.1016/j.jneumeth.2016.11.014_bib0180) 2012; 16
Ng (10.1016/j.jneumeth.2016.11.014_bib0305) 2013
Ryali (10.1016/j.jneumeth.2016.11.014_bib0350) 2013; 65
Langs (10.1016/j.jneumeth.2016.11.014_bib0250) 2010
Mueller (10.1016/j.jneumeth.2016.11.014_bib0290) 2013; 77
Bellec (10.1016/j.jneumeth.2016.11.014_bib0040) 2010; 51
Smith (10.1016/j.jneumeth.2016.11.014_bib0405) 2011; 54
Scheperjans (10.1016/j.jneumeth.2016.11.014_bib0375) 2008; 18
Beckmann (10.1016/j.jneumeth.2016.11.014_bib0035) 2009
Couillet (10.1016/j.jneumeth.2016.11.014_bib0110) 2014; 131
Delong (10.1016/j.jneumeth.2016.11.014_bib0125) 2012; 96
Lashkari (10.1016/j.jneumeth.2016.11.014_bib0260) 2010; 50
Bürgel (10.1016/j.jneumeth.2016.11.014_bib0075) 2006; 29
Smith (10.1016/j.jneumeth.2016.11.014_bib0400) 2012; 109
Honnorat (10.1016/j.jneumeth.2016.11.014_bib0205) 2015; 106
Lange (10.1016/j.jneumeth.2016.11.014_bib0245) 2004; 16
Hubert (10.1016/j.jneumeth.2016.11.014_bib0220) 1985; 2
Chen (10.1016/j.jneumeth.2016.11.014_bib0095) 2011; 59
Henssen (10.1016/j.jneumeth.2016.11.014_bib0200) 2016; 75
Baker (10.1016/j.jneumeth.2016.11.014_bib0020) 2014; 71
Varoquaux (10.1016/j.jneumeth.2016.11.014_bib0435) 2011
Ledoit (10.1016/j.jneumeth.2016.11.014_bib0265) 2003; 10
Tyler (10.1016/j.jneumeth.2016.11.014_bib0420) 1987
Boykov (10.1016/j.jneumeth.2016.11.014_bib0060) 2001; 23
Kolmogorov (10.1016/j.jneumeth.2016.11.014_bib0240) 2004; 26
Birn (10.1016/j.jneumeth.2016.11.014_bib0045) 2013; 83
Finn (10.1016/j.jneumeth.2016.11.014_bib0160) 2015; 18
Clayton Silver (10.1016/j.jneumeth.2016.11.014_bib0100) 1987; 72
Ollila (10.1016/j.jneumeth.2016.11.014_bib0315) 2014; 62
Boykov (10.1016/j.jneumeth.2016.11.014_bib0055) 2004; 26
Salvador (10.1016/j.jneumeth.2016.11.014_bib0360) 2005; 15
Economo (10.1016/j.jneumeth.2016.11.014_bib0130) 1925
Meilă (10.1016/j.jneumeth.2016.11.014_bib0280) 2005
Parisot (10.1016/j.jneumeth.2016.11.014_bib0320) 2015
Calhoun (10.1016/j.jneumeth.2016.11.014_bib0080) 2001; 14
Wang (10.1016/j.jneumeth.2016.11.014_bib0450) 2015; 18
Chang (10.1016/j.jneumeth.2016.11.014_bib0085) 2010; 50
Shen (10.1016/j.jneumeth.2016.11.014_bib0385) 2013; 82
Fiecas (10.1016/j.jneumeth.2016.11.014_bib0150) 2014; 8
Arslan (10.1016/j.jneumeth.2016.11.014_bib0015) 2015
Fisher (10.1016/j.jneumeth.2016.11.014_bib0165) 2011; 55
Craddock (10.1016/j.jneumeth.2016.11.014_bib0115) 2012; 33
Power (10.1016/j.jneumeth.2016.11.014_bib0340) 2011; 72
Jenkinson (10.1016/j.jneumeth.2016.11.014_bib0225) 2012; 62
Tononi (10.1016/j.jneumeth.2016.11.014_bib0415) 1994; 91
Lynall (10.1016/j.jneumeth.2016.11.014_bib0275) 2010; 30
Dale (10.1016/j.jneumeth.2016.11.014_bib0120) 1999; 9
Ng (10.1016/j.jneumeth.2016.11.014_bib0300) 2012
Baldassano (10.1016/j.jneumeth.2016.11.014_bib0025) 2015
Schultz (10.1016/j.jneumeth.2016.11.014_bib0380) 2014; 102
23285614 - Med Image Comput Comput Assist Interv. 2012;15(Pt 1):707-14
25150630 - Neuroimage. 2014 Nov 15;102 Pt 2:620-36
21761686 - Inf Process Med Imaging. 2011;22:562-73
20006716 - Neuroimage. 2010 Mar;50(1):81-98
20817103 - Neuroimage. 2011 Jan 15;54(2):875-91
19620724 - Proc Natl Acad Sci U S A. 2009 Aug 4;106(31):13040-5
24879924 - Neuroimage. 2014 Nov 15;102 Pt 2:938-44
19357304 - Proc Natl Acad Sci U S A. 2009 Apr 28;106(17):7209-14
15130251 - Neural Comput. 2004 Jun;16(6):1299-323
17679691 - Proc Natl Acad Sci U S A. 2007 Aug 14;104(33):13507-12
23747961 - Neuroimage. 2013 Nov 15;82:403-15
20226257 - Neuroimage. 2010 Jul 1;51(3):1126-39
19146962 - Neuroimage. 2009 May 1;45(4):1117-25
15635061 - Cereb Cortex. 2005 Sep;15(9):1332-42
18937282 - Hum Brain Mapp. 2009 Jul;30(7):2207-19
9931268 - Neuroimage. 1999 Feb;9(2):179-94
24306091 - JAMA Psychiatry. 2014 Feb;71(2):109-18
19190637 - Nat Rev Neurosci. 2009 Mar;10(3):186-98
22323591 - Proc Natl Acad Sci U S A. 2012 Feb 21;109(8):3131-6
26687219 - Neuron. 2015 Dec 16;88(6):1086-107
20053382 - Neuroimage. 2010 Apr 15;50(3):1085-98
26221668 - Inf Process Med Imaging. 2015;24:85-97
26551545 - Nat Neurosci. 2015 Dec;18(12):1853-60
18431486 - PLoS One. 2008 Apr 23;3(4):e2001
12165349 - Magn Reson Imaging. 2002 May;20(4):305-17
22926292 - Neuroimage. 2013 Jan 1;64:240-56
19837176 - Neuroimage. 2010 Feb 1;49(3):2375-86
21273356 - AJNR Am J Neuroradiol. 2011 Mar;32(3):548-55
21769991 - Hum Brain Mapp. 2012 Aug;33(8):1914-28
8197179 - Proc Natl Acad Sci U S A. 1994 May 24;91(11):5033-7
26334050 - Cereb Cortex. 2016 Oct;26(10):4004-14
10441759 - J Comp Neurol. 1999 Sep 20;412(2):319-41
24683974 - Inf Process Med Imaging. 2013;23:256-67
20631176 - J Neurosci. 2010 Jul 14;30(28):9477-87
9400854 - J Magn Reson Imaging. 1997 Nov-Dec;7(6):1094-101
26735709 - Cortex. 2016 Feb;75:87-112
23921101 - Neuroimage. 2014 Feb 1;86:544-53
25737822 - PeerJ. 2015 Feb 19;3:e784
11559959 - Hum Brain Mapp. 2001 Nov;14(3):140-51
19819337 - Neuroimage. 2010 Sep;52(3):1059-69
26457551 - Nat Neurosci. 2015 Nov;18(11):1664-71
26221706 - Inf Process Med Imaging. 2015;24:600-12
25275010 - Proc Natl Acad Sci U S A. 2014 Oct 14;111(41):14722-7
15376891 - IEEE Trans Pattern Anal Mach Intell. 2004 Feb;26(2):147-59
27192437 - Neuroimage. 2016 Aug 1;136:68-83
21995040 - Med Image Comput Comput Assist Interv. 2011;14(Pt 2):285-92
22728304 - Med Image Anal. 2012 Oct;16(7):1359-70
16236527 - Neuroimage. 2006 Feb 15;29(4):1092-105
15742889 - IEEE Trans Pattern Anal Mach Intell. 2004 Sep;26(9):1124-37
18245042 - Cereb Cortex. 2008 Sep;18(9):2141-57
24808719 - Adv Neural Inf Process Syst. 2010;1:1225-1233
21653723 - J Neurophysiol. 2011 Sep;106(3):1125-65
17704812 - Nat Rev Neurosci. 2007 Sep;8(9):700-11
16281292 - Hum Brain Mapp. 2006 Aug;27(8):678-93
23523803 - Neuroimage. 2013 Aug 1;76:313-24
25462796 - Neuroimage. 2015 Feb 1;106:207-21
19420007 - Cereb Cortex. 2010 Jan;20(1):130-40
20879232 - Med Image Comput Comput Assist Interv. 2010;13(Pt 1):200-8
21979382 - Neuroimage. 2012 Aug 15;62(2):782-90
19412534 - PLoS Comput Biol. 2009 May;5(5):e1000381
23041530 - Neuroimage. 2013 Jan 15;65:83-96
19573611 - Neuroimage. 2009 Oct 15;48(1):63-72
22099467 - Neuron. 2011 Nov 17;72(4):665-78
24999315 - Front Neurosci. 2014 Jun 11;8:138
23747458 - Neuroimage. 2013 Dec;83:550-8
23395382 - Neuron. 2013 Feb 6;77(3):586-95
References_xml – volume: 75
  start-page: 87
  year: 2016
  end-page: 112
  ident: bib0200
  article-title: Cytoarchitecture and probability maps of the human medial orbitofrontal cortex
  publication-title: Cortex
– volume: 72
  start-page: 665
  year: 2011
  end-page: 678
  ident: bib0340
  article-title: Functional network organization of the human brain
  publication-title: Neuron
– volume: 106
  start-page: 1125
  year: 2011
  end-page: 1165
  ident: bib0455
  article-title: The organization of the human cerebral cortex estimated by intrinsic functional connectivity
  publication-title: J. Neurophysiol.
– volume: 19
  start-page: 361
  year: 2009
  end-page: 394
  ident: bib0335
  article-title: Characterization and evaluation of similarity measures for pairs of clusterings
  publication-title: Knowl. Inf. Syst.
– volume: 32
  start-page: 548
  year: 2011
  end-page: 555
  ident: bib0010
  article-title: Reproducibility of single-subject functional connectivity measurements
  publication-title: Am. J. Neuroradiol.
– year: 2015
  ident: bib0025
  article-title: Parcellating connectivity in spatial maps
  publication-title: PeerJ
– volume: 50
  start-page: 81
  year: 2010
  end-page: 98
  ident: bib0085
  article-title: Time-frequency dynamics of resting-state brain connectivity measured with FMRI
  publication-title: NeuroImage
– volume: 34
  start-page: 596
  year: 1987
  end-page: 615
  ident: bib0175
  article-title: Fibonacci heaps and their uses in improved network optimization algorithms
  publication-title: J. Assoc. Comput. Mach.
– volume: 30
  start-page: 2207
  year: 2009
  end-page: 2219
  ident: bib0270
  article-title: Altered sleep brain functional connectivity in acutely depressed patients
  publication-title: Hum. Brain Mapp.
– volume: 52
  start-page: 1059
  year: 2010
  end-page: 1069
  ident: bib0345
  article-title: Complex network measures of brain connectivity: uses and interpretations
  publication-title: NeuroImage
– volume: 106
  start-page: 13040
  year: 2009
  end-page: 21304
  ident: bib0395
  article-title: Correspondence of the brain's functional architecture during activation and rest
  publication-title: Proc. Natl. Acad. Sci. U. S. A.
– volume: 77
  start-page: 586
  year: 2013
  end-page: 595
  ident: bib0290
  article-title: Individual variability in functional connectivity architecture of the human brain
  publication-title: Neuron
– volume: 14
  start-page: 140
  year: 2001
  end-page: 151
  ident: bib0080
  article-title: A method for making group inferences from functional mri data using independent component analysis
  publication-title: Hum. Brain Mapp.
– volume: 82
  start-page: 403
  year: 2013
  end-page: 415
  ident: bib0385
  article-title: Groupwise whole-brain parcellation from resting-state fMRI data for network node identification
  publication-title: NeuroImage
– volume: 111
  start-page: 14722
  year: 2014
  end-page: 14727
  ident: bib0310
  article-title: Network histograms and universality of blockmodel approximation
  publication-title: Proc. Natl. Acad. Sci. U. S. A.
– year: 2012
  ident: bib0300
  article-title: A novel sparse graphical approach for multimodal brain connectivity inference
  publication-title: Medical Image Computing and Computer-Assisted Intervention. (MICCAI)
– volume: 86
  start-page: 544
  year: 2014
  end-page: 553
  ident: bib0370
  article-title: Neuroimaging of the Philadelphia neurodevelopmental cohort
  publication-title: NeuroImage
– year: 2015, September
  ident: bib0255
  article-title: Identifying shared brain networks in individuals by decoupling functional and anatomical variability
  publication-title: Cereb. Cortex
– volume: 15
  start-page: 1332
  year: 2005
  end-page: 1342
  ident: bib0360
  article-title: Neurophysiological architecture of functional magnetic resonance images of human brain
  publication-title: Cereb. Cortex
– volume: 18
  start-page: 2141
  year: 2008
  end-page: 2157
  ident: bib0375
  article-title: Probabilistic maps, morphometry, and variability of cytoarchitectonic areas in the human superior parietal cortex
  publication-title: Cereb. Cortex
– volume: 26
  start-page: 1124
  year: 2004
  end-page: 1137
  ident: bib0055
  article-title: An experimental comparison of min-cut/max-flow algorithms for energy minimization in vision
  publication-title: IEEE PAMI
– volume: 88
  start-page: 1086
  year: 2015
  end-page: 1107
  ident: bib0460
  article-title: Architectonic mapping of the human brain beyond Brodmann
  publication-title: Neuron
– volume: 26
  start-page: 147
  year: 2004
  end-page: 159
  ident: bib0240
  article-title: What energy functions can be minimized via graph cuts?
  publication-title: IEEE PAMI
– volume: 7
  start-page: 1094
  year: 1997
  end-page: 1108
  ident: bib0030
  article-title: Fuzzy clustering of gradient-echo functional MRI in the human visual cortex. part I: reproducibility
  publication-title: J. Magn. Reson. Imaging (JMRI)
– volume: 18
  start-page: 1853
  year: 2015
  end-page: 1860
  ident: bib0450
  article-title: Parcellating cortical functional networks in individuals
  publication-title: Nat. Neurosci.
– volume: 2
  start-page: 193
  year: 1985
  end-page: 218
  ident: bib0220
  article-title: Comparing partitions
  publication-title: J. Classif.
– volume: 15
  start-page: 2911
  year: 2014
  end-page: 2947
  ident: bib0210
  article-title: Quic: quadratic approximation for sparse inverse covariance estimation
  publication-title: J. Mach. Learn. Res.
– year: 1987
  ident: bib0420
  article-title: A distribution-free m-estimator of multivariate scatter
  publication-title: Ann. Stat.
– volume: 64
  start-page: 240
  year: 2013
  end-page: 256
  ident: bib0365
  article-title: An improved framework for confound regression and filtering for control of motion artifact in the preprocessing of resting-state functional connectivity data
  publication-title: NeuroImage
– volume: 50
  start-page: 1085
  year: 2010
  end-page: 1098
  ident: bib0260
  article-title: Discovering structure in the space of fMRI selectivity profiles
  publication-title: NeuroImage
– volume: 412
  start-page: 319
  year: 1999
  end-page: 341
  ident: bib0005
  article-title: Brocafs region revisited: cytoarchitecture and intersubject variability
  publication-title: J. Comp. Neurol.
– volume: 55
  start-page: 1909
  year: 2011
  end-page: 1918
  ident: bib0165
  article-title: Improved stein-type shrinkage estimators for the high-dimensional multivariate normal covariance matrix
  publication-title: Comput. Stat. Data Anal.
– volume: 23
  start-page: 1222
  year: 2001
  end-page: 1239
  ident: bib0060
  article-title: Fast approximate energy minimization via graph cuts
  publication-title: IEEE PAMI
– volume: 27
  start-page: 678
  year: 2006
  end-page: 693
  ident: bib0410
  article-title: Dealing with the shortcomings of spatial normalization: multi-subject parcellation of fMRI datasets
  publication-title: Hum. Brain Mapp.
– year: 2010
  ident: bib0440
  article-title: Brain covariance selection: Better individual functional connectivity models using population prior
  publication-title: Advances in Neural Information Processing Systems
– start-page: 3129
  year: 2010
  end-page: 3136
  ident: bib0195
  article-title: Geodesic star convexity for interactive image segmentation
  publication-title: IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
– start-page: 454
  year: 2008
  end-page: 467
  ident: bib0445
  article-title: Star shape prior for graph-cut image segmentation
  publication-title: IEEE European Conference on Computer Vision (ECCV).
– volume: 5
  year: 2009
  ident: bib0135
  article-title: Functional brain networks develop from a “local to distributed” organization
  publication-title: PLoS Computat. Biol.
– volume: 10
  start-page: 603
  year: 2003
  end-page: 621
  ident: bib0265
  article-title: Improved estimation of the covariance matrix of stock returns with an application to portfolio selection
  publication-title: J. Empir. Finance
– volume: 65
  start-page: 83
  year: 2013
  end-page: 96
  ident: bib0350
  article-title: A parcellation scheme based on von mises-fisher distributions and markov random fields for segmenting brain regions using resting-state fMRI
  publication-title: NeuroImage
– volume: 8.
  year: 2014
  ident: bib0185
  article-title: The spatial structure of resting state connectivity stability on the scale of minutes
  publication-title: Front. Neurosci.
– volume: 72
  start-page: 146
  year: 1987
  end-page: 148
  ident: bib0100
  article-title: Averaging correlation coefficients: should Fisher's
  publication-title: J. Appl. Psychol.
– volume: 16
  start-page: 1299
  year: 2004
  end-page: 1323
  ident: bib0245
  article-title: Stability-based validation of clustering solutions
  publication-title: Neural Comput.
– volume: 30
  start-page: 9477
  year: 2010
  end-page: 9487
  ident: bib0275
  article-title: Functional connectivity and brain networks in schizophrenia
  publication-title: J. Neurosci.
– volume: 131
  start-page: 99
  year: 2014
  end-page: 120
  ident: bib0110
  article-title: Large dimensional analysis and optimization of robust shrinkage covariance matrix estimators
  publication-title: J. Multivar. Anal.
– volume: 48
  start-page: 63
  year: 2009
  end-page: 72
  ident: bib0190
  article-title: Accurate and robust brain image alignment using boundary-based registration
  publication-title: Neuroimage
– volume: 33
  start-page: 1914
  year: 2012
  end-page: 1928
  ident: bib0115
  article-title: A whole brain fMRI atlas generated via spatially constrained spectral clustering
  publication-title: Hum. Brain Mapp.
– volume: 51
  start-page: 1126
  year: 2010
  end-page: 1139
  ident: bib0040
  article-title: Multi-level bootstrap analysis of stable clusters in resting-state FM
  publication-title: NeuroImage
– volume: 24
  start-page: 1
  year: 1977
  end-page: 13
  ident: bib0230
  article-title: Efficient algorithms for shortest paths in sparse networks
  publication-title: J. ACM
– volume: 8
  start-page: 2975
  year: 2014
  end-page: 3003
  ident: bib0150
  article-title: Data-driven shrinkage of the spectral density matrix of a high-dimensional time series
  publication-title: Electron. J. Stat.
– volume: 45
  start-page: 1117
  year: 2009
  end-page: 1125
  ident: bib0285
  article-title: Cluster analysis of resting-state fMRI time series
  publication-title: NeuroImage
– volume: 104
  start-page: 13507
  year: 2007
  end-page: 13512
  ident: bib0140
  article-title: Development of distinct control networks through segregation and integration
  publication-title: Proc. Natl. Acad. Sci. U. S. A.
– volume: 71
  start-page: 109
  year: 2014
  end-page: 118
  ident: bib0020
  article-title: Disruption of cortical association networks in schizophrenia and psychotic bipolar disorder
  publication-title: JAMA Psychiatry
– volume: 83
  start-page: 550
  year: 2013
  end-page: 558
  ident: bib0045
  article-title: The effect of scan length on the reliability of resting-state FMRI connectivity estimates
  publication-title: Neuroimage
– year: 1909
  ident: bib0065
  article-title: Vergleichende Lokalisationslehre der Großhirnrinde in ihren Prinzipien dargestellt auf Grund des Zellenbaues
– volume: 8
  start-page: 700
  year: 2007
  end-page: 711
  ident: bib0170
  article-title: Spontaneous fluctuations in brain activity observed with functional magnetic resonance imaging
  publication-title: Nat. Rev. Neurosci.
– volume: 136
  start-page: 68
  year: 2016
  end-page: 83
  ident: bib0325
  article-title: Group-wise parcellation of the cortex through multi-scale spectral clustering
  publication-title: NeuroImage
– volume: 109
  start-page: 3131
  year: 2012
  end-page: 3136
  ident: bib0400
  article-title: Temporally-independent functional modes of spontaneous brain activity
  publication-title: Proc. Natl. Acad. Sci. U. S. A.
– volume: 9
  start-page: 179
  year: 1999
  end-page: 194
  ident: bib0120
  article-title: Cortical surface-based analysis. I. Segmentation and surface reconstruction
  publication-title: Neuroimage
– volume: 62
  start-page: 6059
  year: 2014
  end-page: 6070
  ident: bib0315
  article-title: Regularized M-estimators of scatter matrix
  publication-title: IEEE Trans. Signal Process.
– volume: 16
  start-page: 1359
  year: 2012
  end-page: 1370
  ident: bib0180
  article-title: Detecting outliers in high-dimensional neuroimaging datasets with robust covariance estimator
  publication-title: Med. Image Anal.
– volume: 20
  start-page: 130
  year: 2010
  end-page: 140
  ident: bib0355
  article-title: Function-based intersubject alignment of human cortical anatomy
  publication-title: Cereb. Cortex
– volume: 106
  start-page: 7209
  year: 2009
  end-page: 7214
  ident: bib0155
  article-title: Distinct patterns of brain activity in young carriers of the apoe-4 allele
  publication-title: Proc. Natl. Acad. Sci. U. S. A.
– year: 1925
  ident: bib0130
  article-title: Die Cytoarchitektonik der Hirnrinde des erwachsenen Menschen
– volume: 49
  start-page: 2375
  year: 2010
  end-page: 2386
  ident: bib0235
  article-title: Defining functional SMA and pre-SMA subregions in human MFC using resting state fMRI: functional connectivity-based parcellation method
  publication-title: NeuroImage
– volume: 5
  start-page: 1102
  year: 2011
  end-page: 1125
  ident: bib0145
  article-title: The generalized shrinkage estimator for the analysis of functional connectivity of brain signals
  publication-title: Ann. Appl. Stat.
– volume: 62
  start-page: 5640
  year: 2014
  end-page: 5656
  ident: bib0330
  article-title: Generalized robust shrinkage estimator and its application to stap detection problem
  publication-title: IEEE Trans. Signal Process.
– start-page: 1225
  year: 2010
  end-page: 1233
  ident: bib0250
  article-title: Functional geometry alignment and localization of brain areas
  publication-title: Neural Information Processing Systems
– volume: 96
  start-page: 1
  year: 2012
  end-page: 27
  ident: bib0125
  article-title: Fast approximate energy minimization with label costs
  publication-title: Int. J. Comput. Vis.
– volume: 18
  start-page: 1664
  year: 2015
  end-page: 1671
  ident: bib0160
  article-title: Functional connectome fingerprinting: identifying individuals using patterns of brain connectivity
  publication-title: Nat. Neurosci.
– start-page: 3165
  year: 2013
  end-page: 3173
  ident: bib0215
  article-title: Big and quic: sparse inverse covariance estimation for a million variables
  publication-title: Advances in Neural Information Processing Systems
– volume: 106
  start-page: 207
  year: 2015
  end-page: 221
  ident: bib0205
  article-title: Grasp: geodesic graph-based segmentation with shape priors for the functional parcellation of the cortex
  publication-title: NeuroImage
– year: 2011
  ident: bib0435
  article-title: Multi-subject dictionary learning to segment an atlas of brain spontaneous activity
  publication-title: Information Processing in Medical Imaging (IPMI)
– volume: 15
  start-page: 938
  year: 2014
  end-page: 944
  ident: bib0390
  article-title: Shrinkage prediction of seed-voxel brain connectivity using resting state fMRI
  publication-title: NeuroImage
– volume: 91
  start-page: 5033
  year: 1994
  end-page: 5503
  ident: bib0415
  article-title: A measure for brain complexity: relating functional segregation and integration in the nervous system
  publication-title: Proc. Natl. Acad. Sci. U. S. A.
– volume: 3
  start-page: e2001
  year: 2008
  ident: bib0425
  article-title: Normalized cut group clustering of resting-state fmri data
  publication-title: PLoS ONE
– volume: 54
  start-page: 875
  year: 2011
  end-page: 891
  ident: bib0405
  article-title: Network modelling methods for fMRI
  publication-title: NeuroImage
– start-page: 285
  year: 2011
  end-page: 292
  ident: bib0295
  article-title: Connectivity-informed fMRI activation detection
  publication-title: Medical Image Computing and Computer-Assisted Intervention (MICCAI)
– volume: 102
  start-page: 620
  year: 2014
  end-page: 636
  ident: bib0380
  article-title: Template based rotation: a method for functional connectivity analysis with a priori templates
  publication-title: NeuroImage
– year: 2010
  ident: bib0430
  article-title: Detection of brain functional-connectivity difference in post-stroke patients using group-level covariance modeling
  publication-title: Medical Image Computing and Computer-Assisted Intervention (MICCAI)
– start-page: 577
  year: 2005
  end-page: 584
  ident: bib0280
  article-title: Comparing clusterings: an axiomatic view
  publication-title: Proceedings of the 22nd international conference on Machine learning
– volume: 59
  start-page: 4097
  year: 2011
  end-page: 4107
  ident: bib0095
  article-title: Robust shrinkage estimation of high-dimensional covariance matrices
  publication-title: IEEE Trans. Signal Process.
– volume: 58
  start-page: 5016
  year: 2010
  end-page: 5029
  ident: bib0090
  article-title: Shrinkage algorithms for MMSE covariance estimation
  publication-title: IEEE Trans. Signal Process.
– year: 2009
  ident: bib0035
  article-title: Group comparison of resting-state FMRI data using multi-subject ICA and dual regression
  publication-title: OHBM
– start-page: 600
  year: 2015
  end-page: 612
  ident: bib0320
  article-title: Tractography-driven groupwise multi-scale parcellation of the cortex
  publication-title: Information Processing in Medical Imaging
– volume: 20
  start-page: 305
  year: 2002
  end-page: 317
  ident: bib0105
  article-title: Hierarchical clustering to measure connectivity in fmri resting-state data
  publication-title: Magn. Reson. Imaging
– volume: 29
  start-page: 1092
  year: 2006
  end-page: 1105
  ident: bib0075
  article-title: White matter fiber tracts of the human brain: three-dimensional mapping at microscopic resolution, topography and intersubject variability
  publication-title: NeuroImage
– start-page: 85
  year: 2015
  end-page: 97
  ident: bib0015
  article-title: Joint spectral decomposition for the parcellation of the human cerebral cortex using resting-state FMRI
  publication-title: Inf. Process. Med. Imaging
– volume: 76
  start-page: 313
  year: 2013
  end-page: 324
  ident: bib0050
  article-title: Spatially constrained hierarchical parcellation of the brain with resting-state FMRI
  publication-title: NeuroImage
– volume: 62
  start-page: 782
  year: 2012
  end-page: 790
  ident: bib0225
  article-title: FSL
  publication-title: NeuroImage
– volume: 10
  start-page: 186
  year: 2009, March
  end-page: 198
  ident: bib0070
  article-title: Complex brain networks: graph theoretical analysis of structural and functional systems
  publication-title: Nat. Rev. Neurosci.
– year: 2013
  ident: bib0305
  article-title: A novel sparse group Gaussian graphical model for functional connectivity estimation
  publication-title: Information Processing in Medical Imaging. (IPMI)
– volume: 7
  start-page: 1094
  issue: 6
  year: 1997
  ident: 10.1016/j.jneumeth.2016.11.014_bib0030
  article-title: Fuzzy clustering of gradient-echo functional MRI in the human visual cortex. part I: reproducibility
  publication-title: J. Magn. Reson. Imaging (JMRI)
  doi: 10.1002/jmri.1880070623
– volume: 14
  start-page: 140
  year: 2001
  ident: 10.1016/j.jneumeth.2016.11.014_bib0080
  article-title: A method for making group inferences from functional mri data using independent component analysis
  publication-title: Hum. Brain Mapp.
  doi: 10.1002/hbm.1048
– year: 2009
  ident: 10.1016/j.jneumeth.2016.11.014_bib0035
  article-title: Group comparison of resting-state FMRI data using multi-subject ICA and dual regression
  publication-title: OHBM
– start-page: 285
  year: 2011
  ident: 10.1016/j.jneumeth.2016.11.014_bib0295
  article-title: Connectivity-informed fMRI activation detection
– year: 1987
  ident: 10.1016/j.jneumeth.2016.11.014_bib0420
  article-title: A distribution-free m-estimator of multivariate scatter
  publication-title: Ann. Stat.
  doi: 10.1214/aos/1176350263
– year: 1925
  ident: 10.1016/j.jneumeth.2016.11.014_bib0130
– volume: 27
  start-page: 678
  issue: 8
  year: 2006
  ident: 10.1016/j.jneumeth.2016.11.014_bib0410
  article-title: Dealing with the shortcomings of spatial normalization: multi-subject parcellation of fMRI datasets
  publication-title: Hum. Brain Mapp.
  doi: 10.1002/hbm.20210
– volume: 72
  start-page: 146
  issue: 1
  year: 1987
  ident: 10.1016/j.jneumeth.2016.11.014_bib0100
  article-title: Averaging correlation coefficients: should Fisher's z transformation be used?
  publication-title: J. Appl. Psychol.
  doi: 10.1037/0021-9010.72.1.146
– volume: 10
  start-page: 603
  issue: 5
  year: 2003
  ident: 10.1016/j.jneumeth.2016.11.014_bib0265
  article-title: Improved estimation of the covariance matrix of stock returns with an application to portfolio selection
  publication-title: J. Empir. Finance
  doi: 10.1016/S0927-5398(03)00007-0
– volume: 55
  start-page: 1909
  year: 2011
  ident: 10.1016/j.jneumeth.2016.11.014_bib0165
  article-title: Improved stein-type shrinkage estimators for the high-dimensional multivariate normal covariance matrix
  publication-title: Comput. Stat. Data Anal.
  doi: 10.1016/j.csda.2010.12.006
– volume: 104
  start-page: 13507
  issue: 33
  year: 2007
  ident: 10.1016/j.jneumeth.2016.11.014_bib0140
  article-title: Development of distinct control networks through segregation and integration
  publication-title: Proc. Natl. Acad. Sci. U. S. A.
  doi: 10.1073/pnas.0705843104
– volume: 77
  start-page: 586
  year: 2013
  ident: 10.1016/j.jneumeth.2016.11.014_bib0290
  article-title: Individual variability in functional connectivity architecture of the human brain
  publication-title: Neuron
  doi: 10.1016/j.neuron.2012.12.028
– volume: 62
  start-page: 6059
  issue: 22
  year: 2014
  ident: 10.1016/j.jneumeth.2016.11.014_bib0315
  article-title: Regularized M-estimators of scatter matrix
  publication-title: IEEE Trans. Signal Process.
  doi: 10.1109/TSP.2014.2360826
– volume: 82
  start-page: 403
  issue: 15
  year: 2013
  ident: 10.1016/j.jneumeth.2016.11.014_bib0385
  article-title: Groupwise whole-brain parcellation from resting-state fMRI data for network node identification
  publication-title: NeuroImage
  doi: 10.1016/j.neuroimage.2013.05.081
– volume: 24
  start-page: 1
  issue: 1
  year: 1977
  ident: 10.1016/j.jneumeth.2016.11.014_bib0230
  article-title: Efficient algorithms for shortest paths in sparse networks
  publication-title: J. ACM
  doi: 10.1145/321992.321993
– volume: 9
  start-page: 179
  year: 1999
  ident: 10.1016/j.jneumeth.2016.11.014_bib0120
  article-title: Cortical surface-based analysis. I. Segmentation and surface reconstruction
  publication-title: Neuroimage
  doi: 10.1006/nimg.1998.0395
– volume: 2
  start-page: 193
  year: 1985
  ident: 10.1016/j.jneumeth.2016.11.014_bib0220
  article-title: Comparing partitions
  publication-title: J. Classif.
  doi: 10.1007/BF01908075
– volume: 30
  start-page: 2207
  year: 2009
  ident: 10.1016/j.jneumeth.2016.11.014_bib0270
  article-title: Altered sleep brain functional connectivity in acutely depressed patients
  publication-title: Hum. Brain Mapp.
  doi: 10.1002/hbm.20662
– volume: 30
  start-page: 9477
  year: 2010
  ident: 10.1016/j.jneumeth.2016.11.014_bib0275
  article-title: Functional connectivity and brain networks in schizophrenia
  publication-title: J. Neurosci.
  doi: 10.1523/JNEUROSCI.0333-10.2010
– volume: 106
  start-page: 7209
  issue: 17
  year: 2009
  ident: 10.1016/j.jneumeth.2016.11.014_bib0155
  article-title: Distinct patterns of brain activity in young carriers of the apoe-4 allele
  publication-title: Proc. Natl. Acad. Sci. U. S. A.
  doi: 10.1073/pnas.0811879106
– year: 2011
  ident: 10.1016/j.jneumeth.2016.11.014_bib0435
  article-title: Multi-subject dictionary learning to segment an atlas of brain spontaneous activity
– volume: 45
  start-page: 1117
  year: 2009
  ident: 10.1016/j.jneumeth.2016.11.014_bib0285
  article-title: Cluster analysis of resting-state fMRI time series
  publication-title: NeuroImage
  doi: 10.1016/j.neuroimage.2008.12.015
– volume: 20
  start-page: 130
  issue: 1
  year: 2010
  ident: 10.1016/j.jneumeth.2016.11.014_bib0355
  article-title: Function-based intersubject alignment of human cortical anatomy
  publication-title: Cereb. Cortex
  doi: 10.1093/cercor/bhp085
– volume: 10
  start-page: 186
  year: 2009
  ident: 10.1016/j.jneumeth.2016.11.014_bib0070
  article-title: Complex brain networks: graph theoretical analysis of structural and functional systems
  publication-title: Nat. Rev. Neurosci.
  doi: 10.1038/nrn2575
– volume: 5
  issue: 5
  year: 2009
  ident: 10.1016/j.jneumeth.2016.11.014_bib0135
  article-title: Functional brain networks develop from a “local to distributed” organization
  publication-title: PLoS Computat. Biol.
  doi: 10.1371/journal.pcbi.1000381
– volume: 15
  start-page: 2911
  year: 2014
  ident: 10.1016/j.jneumeth.2016.11.014_bib0210
  article-title: Quic: quadratic approximation for sparse inverse covariance estimation
  publication-title: J. Mach. Learn. Res.
– volume: 23
  start-page: 1222
  issue: 11
  year: 2001
  ident: 10.1016/j.jneumeth.2016.11.014_bib0060
  article-title: Fast approximate energy minimization via graph cuts
  publication-title: IEEE PAMI
  doi: 10.1109/34.969114
– start-page: 454
  year: 2008
  ident: 10.1016/j.jneumeth.2016.11.014_bib0445
  article-title: Star shape prior for graph-cut image segmentation
– volume: 18
  start-page: 1664
  year: 2015
  ident: 10.1016/j.jneumeth.2016.11.014_bib0160
  article-title: Functional connectome fingerprinting: identifying individuals using patterns of brain connectivity
  publication-title: Nat. Neurosci.
  doi: 10.1038/nn.4135
– volume: 48
  start-page: 63
  issue: 1
  year: 2009
  ident: 10.1016/j.jneumeth.2016.11.014_bib0190
  article-title: Accurate and robust brain image alignment using boundary-based registration
  publication-title: Neuroimage
  doi: 10.1016/j.neuroimage.2009.06.060
– volume: 19
  start-page: 361
  year: 2009
  ident: 10.1016/j.jneumeth.2016.11.014_bib0335
  article-title: Characterization and evaluation of similarity measures for pairs of clusterings
  publication-title: Knowl. Inf. Syst.
  doi: 10.1007/s10115-008-0150-6
– volume: 54
  start-page: 875
  year: 2011
  ident: 10.1016/j.jneumeth.2016.11.014_bib0405
  article-title: Network modelling methods for fMRI
  publication-title: NeuroImage
  doi: 10.1016/j.neuroimage.2010.08.063
– volume: 32
  start-page: 548
  issue: 3
  year: 2011
  ident: 10.1016/j.jneumeth.2016.11.014_bib0010
  article-title: Reproducibility of single-subject functional connectivity measurements
  publication-title: Am. J. Neuroradiol.
  doi: 10.3174/ajnr.A2330
– volume: 131
  start-page: 99
  year: 2014
  ident: 10.1016/j.jneumeth.2016.11.014_bib0110
  article-title: Large dimensional analysis and optimization of robust shrinkage covariance matrix estimators
  publication-title: J. Multivar. Anal.
  doi: 10.1016/j.jmva.2014.06.018
– volume: 26
  start-page: 147
  issue: February (2)
  year: 2004
  ident: 10.1016/j.jneumeth.2016.11.014_bib0240
  article-title: What energy functions can be minimized via graph cuts?
  publication-title: IEEE PAMI
  doi: 10.1109/TPAMI.2004.1262177
– volume: 52
  start-page: 1059
  issue: 3
  year: 2010
  ident: 10.1016/j.jneumeth.2016.11.014_bib0345
  article-title: Complex network measures of brain connectivity: uses and interpretations
  publication-title: NeuroImage
  doi: 10.1016/j.neuroimage.2009.10.003
– start-page: 577
  year: 2005
  ident: 10.1016/j.jneumeth.2016.11.014_bib0280
  article-title: Comparing clusterings: an axiomatic view
– volume: 20
  start-page: 305
  year: 2002
  ident: 10.1016/j.jneumeth.2016.11.014_bib0105
  article-title: Hierarchical clustering to measure connectivity in fmri resting-state data
  publication-title: Magn. Reson. Imaging
  doi: 10.1016/S0730-725X(02)00503-9
– volume: 106
  start-page: 1125
  year: 2011
  ident: 10.1016/j.jneumeth.2016.11.014_bib0455
  article-title: The organization of the human cerebral cortex estimated by intrinsic functional connectivity
  publication-title: J. Neurophysiol.
  doi: 10.1152/jn.00338.2011
– volume: 34
  start-page: 596
  issue: 3
  year: 1987
  ident: 10.1016/j.jneumeth.2016.11.014_bib0175
  article-title: Fibonacci heaps and their uses in improved network optimization algorithms
  publication-title: J. Assoc. Comput. Mach.
  doi: 10.1145/28869.28874
– volume: 8
  start-page: 2975
  year: 2014
  ident: 10.1016/j.jneumeth.2016.11.014_bib0150
  article-title: Data-driven shrinkage of the spectral density matrix of a high-dimensional time series
  publication-title: Electron. J. Stat.
  doi: 10.1214/14-EJS977
– volume: 62
  start-page: 5640
  issue: 21
  year: 2014
  ident: 10.1016/j.jneumeth.2016.11.014_bib0330
  article-title: Generalized robust shrinkage estimator and its application to stap detection problem
  publication-title: IEEE Trans. Signal Process.
  doi: 10.1109/TSP.2014.2355779
– volume: 8.
  issue: 138
  year: 2014
  ident: 10.1016/j.jneumeth.2016.11.014_bib0185
  article-title: The spatial structure of resting state connectivity stability on the scale of minutes
  publication-title: Front. Neurosci.
– volume: 18
  start-page: 2141
  year: 2008
  ident: 10.1016/j.jneumeth.2016.11.014_bib0375
  article-title: Probabilistic maps, morphometry, and variability of cytoarchitectonic areas in the human superior parietal cortex
  publication-title: Cereb. Cortex
  doi: 10.1093/cercor/bhm241
– volume: 64
  start-page: 240
  year: 2013
  ident: 10.1016/j.jneumeth.2016.11.014_bib0365
  article-title: An improved framework for confound regression and filtering for control of motion artifact in the preprocessing of resting-state functional connectivity data
  publication-title: NeuroImage
  doi: 10.1016/j.neuroimage.2012.08.052
– volume: 412
  start-page: 319
  year: 1999
  ident: 10.1016/j.jneumeth.2016.11.014_bib0005
  article-title: Brocafs region revisited: cytoarchitecture and intersubject variability
  publication-title: J. Comp. Neurol.
  doi: 10.1002/(SICI)1096-9861(19990920)412:2<319::AID-CNE10>3.0.CO;2-7
– volume: 106
  start-page: 207
  year: 2015
  ident: 10.1016/j.jneumeth.2016.11.014_bib0205
  article-title: Grasp: geodesic graph-based segmentation with shape priors for the functional parcellation of the cortex
  publication-title: NeuroImage
  doi: 10.1016/j.neuroimage.2014.11.008
– year: 2010
  ident: 10.1016/j.jneumeth.2016.11.014_bib0440
  article-title: Brain covariance selection: Better individual functional connectivity models using population prior
– volume: 136
  start-page: 68
  year: 2016
  ident: 10.1016/j.jneumeth.2016.11.014_bib0325
  article-title: Group-wise parcellation of the cortex through multi-scale spectral clustering
  publication-title: NeuroImage
  doi: 10.1016/j.neuroimage.2016.05.035
– volume: 5
  start-page: 1102
  year: 2011
  ident: 10.1016/j.jneumeth.2016.11.014_bib0145
  article-title: The generalized shrinkage estimator for the analysis of functional connectivity of brain signals
  publication-title: Ann. Appl. Stat.
  doi: 10.1214/10-AOAS396
– year: 1909
  ident: 10.1016/j.jneumeth.2016.11.014_bib0065
– year: 2015
  ident: 10.1016/j.jneumeth.2016.11.014_bib0255
  article-title: Identifying shared brain networks in individuals by decoupling functional and anatomical variability
  publication-title: Cereb. Cortex
– volume: 96
  start-page: 1
  year: 2012
  ident: 10.1016/j.jneumeth.2016.11.014_bib0125
  article-title: Fast approximate energy minimization with label costs
  publication-title: Int. J. Comput. Vis.
  doi: 10.1007/s11263-011-0437-z
– year: 2010
  ident: 10.1016/j.jneumeth.2016.11.014_bib0430
  article-title: Detection of brain functional-connectivity difference in post-stroke patients using group-level covariance modeling
– volume: 65
  start-page: 83
  issue: 0
  year: 2013
  ident: 10.1016/j.jneumeth.2016.11.014_bib0350
  article-title: A parcellation scheme based on von mises-fisher distributions and markov random fields for segmenting brain regions using resting-state fMRI
  publication-title: NeuroImage
  doi: 10.1016/j.neuroimage.2012.09.067
– volume: 50
  start-page: 1085
  issue: 3
  year: 2010
  ident: 10.1016/j.jneumeth.2016.11.014_bib0260
  article-title: Discovering structure in the space of fMRI selectivity profiles
  publication-title: NeuroImage
  doi: 10.1016/j.neuroimage.2009.12.106
– volume: 71
  start-page: 109
  year: 2014
  ident: 10.1016/j.jneumeth.2016.11.014_bib0020
  article-title: Disruption of cortical association networks in schizophrenia and psychotic bipolar disorder
  publication-title: JAMA Psychiatry
  doi: 10.1001/jamapsychiatry.2013.3469
– volume: 76
  start-page: 313
  year: 2013
  ident: 10.1016/j.jneumeth.2016.11.014_bib0050
  article-title: Spatially constrained hierarchical parcellation of the brain with resting-state FMRI
  publication-title: NeuroImage
  doi: 10.1016/j.neuroimage.2013.03.024
– volume: 26
  start-page: 1124
  issue: September (9)
  year: 2004
  ident: 10.1016/j.jneumeth.2016.11.014_bib0055
  article-title: An experimental comparison of min-cut/max-flow algorithms for energy minimization in vision
  publication-title: IEEE PAMI
  doi: 10.1109/TPAMI.2004.60
– volume: 16
  start-page: 1299
  year: 2004
  ident: 10.1016/j.jneumeth.2016.11.014_bib0245
  article-title: Stability-based validation of clustering solutions
  publication-title: Neural Comput.
  doi: 10.1162/089976604773717621
– volume: 50
  start-page: 81
  year: 2010
  ident: 10.1016/j.jneumeth.2016.11.014_bib0085
  article-title: Time-frequency dynamics of resting-state brain connectivity measured with FMRI
  publication-title: NeuroImage
  doi: 10.1016/j.neuroimage.2009.12.011
– volume: 8
  start-page: 700
  year: 2007
  ident: 10.1016/j.jneumeth.2016.11.014_bib0170
  article-title: Spontaneous fluctuations in brain activity observed with functional magnetic resonance imaging
  publication-title: Nat. Rev. Neurosci.
  doi: 10.1038/nrn2201
– volume: 111
  start-page: 14722
  issue: 41
  year: 2014
  ident: 10.1016/j.jneumeth.2016.11.014_bib0310
  article-title: Network histograms and universality of blockmodel approximation
  publication-title: Proc. Natl. Acad. Sci. U. S. A.
  doi: 10.1073/pnas.1400374111
– volume: 58
  start-page: 5016
  issue: 10
  year: 2010
  ident: 10.1016/j.jneumeth.2016.11.014_bib0090
  article-title: Shrinkage algorithms for MMSE covariance estimation
  publication-title: IEEE Trans. Signal Process.
  doi: 10.1109/TSP.2010.2053029
– volume: 33
  start-page: 1914
  issue: August (8)
  year: 2012
  ident: 10.1016/j.jneumeth.2016.11.014_bib0115
  article-title: A whole brain fMRI atlas generated via spatially constrained spectral clustering
  publication-title: Hum. Brain Mapp.
  doi: 10.1002/hbm.21333
– volume: 106
  start-page: 13040
  year: 2009
  ident: 10.1016/j.jneumeth.2016.11.014_bib0395
  article-title: Correspondence of the brain's functional architecture during activation and rest
  publication-title: Proc. Natl. Acad. Sci. U. S. A.
  doi: 10.1073/pnas.0905267106
– volume: 59
  start-page: 4097
  issue: 9
  year: 2011
  ident: 10.1016/j.jneumeth.2016.11.014_bib0095
  article-title: Robust shrinkage estimation of high-dimensional covariance matrices
  publication-title: IEEE Trans. Signal Process.
  doi: 10.1109/TSP.2011.2138698
– volume: 109
  start-page: 3131
  issue: 8
  year: 2012
  ident: 10.1016/j.jneumeth.2016.11.014_bib0400
  article-title: Temporally-independent functional modes of spontaneous brain activity
  publication-title: Proc. Natl. Acad. Sci. U. S. A.
  doi: 10.1073/pnas.1121329109
– volume: 91
  start-page: 5033
  year: 1994
  ident: 10.1016/j.jneumeth.2016.11.014_bib0415
  article-title: A measure for brain complexity: relating functional segregation and integration in the nervous system
  publication-title: Proc. Natl. Acad. Sci. U. S. A.
  doi: 10.1073/pnas.91.11.5033
– volume: 16
  start-page: 1359
  year: 2012
  ident: 10.1016/j.jneumeth.2016.11.014_bib0180
  article-title: Detecting outliers in high-dimensional neuroimaging datasets with robust covariance estimator
  publication-title: Med. Image Anal.
  doi: 10.1016/j.media.2012.05.002
– volume: 3
  start-page: e2001
  issue: 4
  year: 2008
  ident: 10.1016/j.jneumeth.2016.11.014_bib0425
  article-title: Normalized cut group clustering of resting-state fmri data
  publication-title: PLoS ONE
  doi: 10.1371/journal.pone.0002001
– volume: 29
  start-page: 1092
  year: 2006
  ident: 10.1016/j.jneumeth.2016.11.014_bib0075
  article-title: White matter fiber tracts of the human brain: three-dimensional mapping at microscopic resolution, topography and intersubject variability
  publication-title: NeuroImage
  doi: 10.1016/j.neuroimage.2005.08.040
– volume: 86
  start-page: 544
  year: 2014
  ident: 10.1016/j.jneumeth.2016.11.014_bib0370
  article-title: Neuroimaging of the Philadelphia neurodevelopmental cohort
  publication-title: NeuroImage
  doi: 10.1016/j.neuroimage.2013.07.064
– volume: 88
  start-page: 1086
  year: 2015
  ident: 10.1016/j.jneumeth.2016.11.014_bib0460
  article-title: Architectonic mapping of the human brain beyond Brodmann
  publication-title: Neuron
  doi: 10.1016/j.neuron.2015.12.001
– volume: 49
  start-page: 2375
  year: 2010
  ident: 10.1016/j.jneumeth.2016.11.014_bib0235
  article-title: Defining functional SMA and pre-SMA subregions in human MFC using resting state fMRI: functional connectivity-based parcellation method
  publication-title: NeuroImage
  doi: 10.1016/j.neuroimage.2009.10.016
– start-page: 1225
  year: 2010
  ident: 10.1016/j.jneumeth.2016.11.014_bib0250
  article-title: Functional geometry alignment and localization of brain areas
– start-page: 600
  year: 2015
  ident: 10.1016/j.jneumeth.2016.11.014_bib0320
  article-title: Tractography-driven groupwise multi-scale parcellation of the cortex
– volume: 102
  start-page: 620
  year: 2014
  ident: 10.1016/j.jneumeth.2016.11.014_bib0380
  article-title: Template based rotation: a method for functional connectivity analysis with a priori templates
  publication-title: NeuroImage
  doi: 10.1016/j.neuroimage.2014.08.022
– volume: 18
  start-page: 1853
  year: 2015
  ident: 10.1016/j.jneumeth.2016.11.014_bib0450
  article-title: Parcellating cortical functional networks in individuals
  publication-title: Nat. Neurosci.
  doi: 10.1038/nn.4164
– volume: 83
  start-page: 550
  year: 2013
  ident: 10.1016/j.jneumeth.2016.11.014_bib0045
  article-title: The effect of scan length on the reliability of resting-state FMRI connectivity estimates
  publication-title: Neuroimage
  doi: 10.1016/j.neuroimage.2013.05.099
– year: 2015
  ident: 10.1016/j.jneumeth.2016.11.014_bib0025
  article-title: Parcellating connectivity in spatial maps
– volume: 51
  start-page: 1126
  year: 2010
  ident: 10.1016/j.jneumeth.2016.11.014_bib0040
  article-title: Multi-level bootstrap analysis of stable clusters in resting-state FM
  publication-title: NeuroImage
  doi: 10.1016/j.neuroimage.2010.02.082
– volume: 15
  start-page: 938
  year: 2014
  ident: 10.1016/j.jneumeth.2016.11.014_bib0390
  article-title: Shrinkage prediction of seed-voxel brain connectivity using resting state fMRI
  publication-title: NeuroImage
  doi: 10.1016/j.neuroimage.2014.05.043
– volume: 62
  start-page: 782
  issue: 2
  year: 2012
  ident: 10.1016/j.jneumeth.2016.11.014_bib0225
  article-title: FSL
  publication-title: NeuroImage
  doi: 10.1016/j.neuroimage.2011.09.015
– start-page: 3129
  year: 2010
  ident: 10.1016/j.jneumeth.2016.11.014_bib0195
  article-title: Geodesic star convexity for interactive image segmentation
– volume: 75
  start-page: 87
  year: 2016
  ident: 10.1016/j.jneumeth.2016.11.014_bib0200
  article-title: Cytoarchitecture and probability maps of the human medial orbitofrontal cortex
  publication-title: Cortex
  doi: 10.1016/j.cortex.2015.11.006
– volume: 72
  start-page: 665
  year: 2011
  ident: 10.1016/j.jneumeth.2016.11.014_bib0340
  article-title: Functional network organization of the human brain
  publication-title: Neuron
  doi: 10.1016/j.neuron.2011.09.006
– start-page: 85
  year: 2015
  ident: 10.1016/j.jneumeth.2016.11.014_bib0015
  article-title: Joint spectral decomposition for the parcellation of the human cerebral cortex using resting-state FMRI
  publication-title: Inf. Process. Med. Imaging
– year: 2013
  ident: 10.1016/j.jneumeth.2016.11.014_bib0305
  article-title: A novel sparse group Gaussian graphical model for functional connectivity estimation
– start-page: 3165
  year: 2013
  ident: 10.1016/j.jneumeth.2016.11.014_bib0215
  article-title: Big and quic: sparse inverse covariance estimation for a million variables
– year: 2012
  ident: 10.1016/j.jneumeth.2016.11.014_bib0300
  article-title: A novel sparse graphical approach for multimodal brain connectivity inference
– volume: 15
  start-page: 1332
  year: 2005
  ident: 10.1016/j.jneumeth.2016.11.014_bib0360
  article-title: Neurophysiological architecture of functional magnetic resonance images of human brain
  publication-title: Cereb. Cortex
  doi: 10.1093/cercor/bhi016
– reference: 20053382 - Neuroimage. 2010 Apr 15;50(3):1085-98
– reference: 23285614 - Med Image Comput Comput Assist Interv. 2012;15(Pt 1):707-14
– reference: 23523803 - Neuroimage. 2013 Aug 1;76:313-24
– reference: 20631176 - J Neurosci. 2010 Jul 14;30(28):9477-87
– reference: 21995040 - Med Image Comput Comput Assist Interv. 2011;14(Pt 2):285-92
– reference: 21653723 - J Neurophysiol. 2011 Sep;106(3):1125-65
– reference: 20006716 - Neuroimage. 2010 Mar;50(1):81-98
– reference: 21273356 - AJNR Am J Neuroradiol. 2011 Mar;32(3):548-55
– reference: 26221706 - Inf Process Med Imaging. 2015;24:600-12
– reference: 26551545 - Nat Neurosci. 2015 Dec;18(12):1853-60
– reference: 22323591 - Proc Natl Acad Sci U S A. 2012 Feb 21;109(8):3131-6
– reference: 25737822 - PeerJ. 2015 Feb 19;3:e784
– reference: 17679691 - Proc Natl Acad Sci U S A. 2007 Aug 14;104(33):13507-12
– reference: 15130251 - Neural Comput. 2004 Jun;16(6):1299-323
– reference: 20817103 - Neuroimage. 2011 Jan 15;54(2):875-91
– reference: 25275010 - Proc Natl Acad Sci U S A. 2014 Oct 14;111(41):14722-7
– reference: 19357304 - Proc Natl Acad Sci U S A. 2009 Apr 28;106(17):7209-14
– reference: 8197179 - Proc Natl Acad Sci U S A. 1994 May 24;91(11):5033-7
– reference: 20226257 - Neuroimage. 2010 Jul 1;51(3):1126-39
– reference: 23747961 - Neuroimage. 2013 Nov 15;82:403-15
– reference: 16236527 - Neuroimage. 2006 Feb 15;29(4):1092-105
– reference: 11559959 - Hum Brain Mapp. 2001 Nov;14(3):140-51
– reference: 15635061 - Cereb Cortex. 2005 Sep;15(9):1332-42
– reference: 18431486 - PLoS One. 2008 Apr 23;3(4):e2001
– reference: 22926292 - Neuroimage. 2013 Jan 1;64:240-56
– reference: 24808719 - Adv Neural Inf Process Syst. 2010;1:1225-1233
– reference: 10441759 - J Comp Neurol. 1999 Sep 20;412(2):319-41
– reference: 15376891 - IEEE Trans Pattern Anal Mach Intell. 2004 Feb;26(2):147-59
– reference: 23395382 - Neuron. 2013 Feb 6;77(3):586-95
– reference: 22099467 - Neuron. 2011 Nov 17;72(4):665-78
– reference: 24879924 - Neuroimage. 2014 Nov 15;102 Pt 2:938-44
– reference: 19146962 - Neuroimage. 2009 May 1;45(4):1117-25
– reference: 21761686 - Inf Process Med Imaging. 2011;22:562-73
– reference: 19620724 - Proc Natl Acad Sci U S A. 2009 Aug 4;106(31):13040-5
– reference: 15742889 - IEEE Trans Pattern Anal Mach Intell. 2004 Sep;26(9):1124-37
– reference: 23921101 - Neuroimage. 2014 Feb 1;86:544-53
– reference: 19837176 - Neuroimage. 2010 Feb 1;49(3):2375-86
– reference: 24683974 - Inf Process Med Imaging. 2013;23:256-67
– reference: 19819337 - Neuroimage. 2010 Sep;52(3):1059-69
– reference: 20879232 - Med Image Comput Comput Assist Interv. 2010;13(Pt 1):200-8
– reference: 17704812 - Nat Rev Neurosci. 2007 Sep;8(9):700-11
– reference: 21979382 - Neuroimage. 2012 Aug 15;62(2):782-90
– reference: 12165349 - Magn Reson Imaging. 2002 May;20(4):305-17
– reference: 26735709 - Cortex. 2016 Feb;75:87-112
– reference: 25150630 - Neuroimage. 2014 Nov 15;102 Pt 2:620-36
– reference: 26221668 - Inf Process Med Imaging. 2015;24:85-97
– reference: 19573611 - Neuroimage. 2009 Oct 15;48(1):63-72
– reference: 16281292 - Hum Brain Mapp. 2006 Aug;27(8):678-93
– reference: 19420007 - Cereb Cortex. 2010 Jan;20(1):130-40
– reference: 9400854 - J Magn Reson Imaging. 1997 Nov-Dec;7(6):1094-101
– reference: 19412534 - PLoS Comput Biol. 2009 May;5(5):e1000381
– reference: 22728304 - Med Image Anal. 2012 Oct;16(7):1359-70
– reference: 18245042 - Cereb Cortex. 2008 Sep;18(9):2141-57
– reference: 25462796 - Neuroimage. 2015 Feb 1;106:207-21
– reference: 9931268 - Neuroimage. 1999 Feb;9(2):179-94
– reference: 19190637 - Nat Rev Neurosci. 2009 Mar;10(3):186-98
– reference: 24999315 - Front Neurosci. 2014 Jun 11;8:138
– reference: 26334050 - Cereb Cortex. 2016 Oct;26(10):4004-14
– reference: 23041530 - Neuroimage. 2013 Jan 15;65:83-96
– reference: 26687219 - Neuron. 2015 Dec 16;88(6):1086-107
– reference: 27192437 - Neuroimage. 2016 Aug 1;136:68-83
– reference: 23747458 - Neuroimage. 2013 Dec;83:550-8
– reference: 21769991 - Hum Brain Mapp. 2012 Aug;33(8):1914-28
– reference: 26457551 - Nat Neurosci. 2015 Nov;18(11):1664-71
– reference: 18937282 - Hum Brain Mapp. 2009 Jul;30(7):2207-19
– reference: 24306091 - JAMA Psychiatry. 2014 Feb;71(2):109-18
SSID ssj0004906
Score 2.2481365
Snippet •We describe sGraSP, a novel subject-specific functional parcellation method.•sGraSP is tested using a large neurodevelopmental cohort (859 scans...
Resting-state fMRI (rs-fMRI) has emerged as a prominent tool for the study of functional connectivity. The identification of the regions associated with the...
SourceID pubmedcentral
proquest
pubmed
crossref
elsevier
SourceType Open Access Repository
Aggregation Database
Index Database
Enrichment Source
Publisher
StartPage 1
SubjectTerms Adolescent
Algorithms
Brain - diagnostic imaging
Child
Cohort Studies
Computer Graphics
Connectome
Female
Humans
Image Processing, Computer-Assisted
Magnetic Resonance Imaging
Male
Models, Neurological
Oxygen - blood
Parcellation
Rest
Rs-fMRI
Tessellation
Young Adult
Title sGraSP: A graph-based method for the derivation of subject-specific functional parcellations of the brain
URI https://dx.doi.org/10.1016/j.jneumeth.2016.11.014
https://www.ncbi.nlm.nih.gov/pubmed/27913211
https://www.proquest.com/docview/1845837765
https://pubmed.ncbi.nlm.nih.gov/PMC5253302
Volume 277
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV3da9swED9KC2MvY233kW0tGpS9OYlkyYr2FkrbtKVl0BbyJiRbZgmbE5rkYS_723cn22mzMvqwJxtbB0J30v3udB8AR6IY5Dr1_WTgeJpIBAiJ4zwkRlF9udRxU1KC89V1NrqTF2M13oLjNheGwiqbs78-0-Np3XzpNavZm08mvRtKxEGjCh9095aNKYNdapLy7u-HMA9pYn9NGkz3lf1HWcLT7rQKK-rUTCFeWZeqeXL5LwX1FID-HUf5SDGdvoZXDaJkw3rSu7AVqj3YH1ZoTf_8xb6wGOMZned78OKquUrfh8ni7N7dfPvKhiwWrU5InxWs7ijNEMoyhIasQAGtnbZsVrLFypPbJqH0TAoxYqQVa2cim7t4CVA7AGkwkXtqQPEG7k5Pbo9HSdN3IclRVS2RTzJHWJLnA-G8Q06KQgbnZKkyJzi-D2TQpuDeeVOmRa50brTxAaGV6odUpW9hu5pV4T2wsvTa4zHiRUl0paOETYSQskgznxnXAdUuts2bouTUG-OHbaPPprZlkiUmocVikUkd6K3p5nVZjmcpTMtLuyFgFnXHs7SfW-Zb3H1xNaswWy0s2scKTXydqQ68q4VhPR-hDZr6nHdAb4jJegBV9t78U02-xwrfSlDQr_jwH3P-CC8FIZAYYP4Jtpf3q3CA-GnpD-MGOYSd4fnl6PoPRtEdkA
linkProvider Elsevier
linkToHtml http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV1NTxsxEB1RkNpeKgr9SEtbI6HeNom99m7cW4SAtCUICZBys-xdr0jUbiKSHHrpb--MdzcQKsSBU6LEI1ke2_Nm_GYG4EDkvSyNXTfqWR5HEgFCZDn3kVZUXy62XBeU4Dw8SwZX8sdIjTbgsMmFIVplffdXd3q4retfOvVqdmbjceeCEnHQqcIPentLRs9gS-LxpTYG7b-3PA-pQ4NNGk0Plt07acKT9qT0S2rVTByvpE3lPLl8yEL9j0DvEynvWKbjbXhVQ0rWr2b9GjZ8uQO7_RLd6d9_2FcWSJ4her4Dz4f1W_oujOcnN_bi_Bvrs1C1OiKDlrOqpTRDLMsQG7Icd2gVtWXTgs2XjuI2EeVnEseIkVmsoolsZsMrQBUBpMEk7qgDxRu4Oj66PBxEdeOFKENbtUBFyQxxSZb1hHUWVSly6a2VhUqs4Pi9J32qc-6s00WcZyrNdKqdR2yluj5W8VvYLKelfw-sKFzq8B5xoiC5wlLGJmJImceJS7RtgWoW22R1VXJqjvHLNPSziWmUZEhJ6LIYVFILOiu5WVWX41EJ3ejSrO0wg8bjUdn9RvkGj19YzdJPl3ODDrJCHz9NVAveVZthNR-RavT1OW9BurZNVgOotPf6P-X4OpT4VoJYv-LDE-b8BV4MLoen5vT72c-P8FIQHAls8z3YXNws_ScEUwv3ORyWf5ZFHx4
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=sGraSP%3A+A+graph-based+method+for+the+derivation+of+subject-specific+functional+parcellations+of+the+brain&rft.jtitle=Journal+of+neuroscience+methods&rft.au=Honnorat%2C+N&rft.au=Satterthwaite%2C+T+D&rft.au=Gur%2C+R+E&rft.au=Gur%2C+R+C&rft.date=2017-02-01&rft.eissn=1872-678X&rft.volume=277&rft.spage=1&rft_id=info:doi/10.1016%2Fj.jneumeth.2016.11.014&rft_id=info%3Apmid%2F27913211&rft.externalDocID=27913211
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0165-0270&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0165-0270&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0165-0270&client=summon