Challenges and future directions for representations of functional brain organization

A key principle of brain organization is the functional integration of brain regions into interconnected networks. Functional MRI scans acquired at rest offer insights into functional integration via patterns of coherent fluctuations in spontaneous activity, known as functional connectivity. These p...

Full description

Saved in:
Bibliographic Details
Published inNature neuroscience Vol. 23; no. 12; pp. 1484 - 1495
Main Authors Bijsterbosch, Janine, Harrison, Samuel J., Jbabdi, Saad, Woolrich, Mark, Beckmann, Christian, Smith, Stephen, Duff, Eugene P.
Format Journal Article
LanguageEnglish
Published New York Nature Publishing Group US 01.12.2020
Nature Publishing Group
Subjects
59
59/36
631/1647/245/1627
631/378
692/53
Animal Genetics and Genomics
Animals
Behavioral Sciences
Biological Techniques
Biomedical and Life Sciences
Biomedicine
Brain
Brain - diagnostic imaging
Brain - physiology
Brain architecture
Brain Mapping
Brain research
Cognition
Fractionation
Functional integration
Functional magnetic resonance imaging
Functional morphology
Humans
Image Processing, Computer-Assisted - standards
Integration
Magnetic Resonance Imaging - methods
Medical imaging
Nerve Net - diagnostic imaging
Nerve Net - physiology
Neural circuitry
Neural networks
Neural Pathways
Neurobiology
Neurosciences
Observations
Representations
Reproducibility
Review Article
Time series
United States
Online AccessGet full text

Cover

Abstract A key principle of brain organization is the functional integration of brain regions into interconnected networks. Functional MRI scans acquired at rest offer insights into functional integration via patterns of coherent fluctuations in spontaneous activity, known as functional connectivity. These patterns have been studied intensively and have been linked to cognition and disease. However, the field is fractionated. Diverging analysis approaches have segregated the community into research silos, limiting the replication and clinical translation of findings. A primary source of this fractionation is the diversity of approaches used to reduce complex brain data into a lower-dimensional set of features for analysis and interpretation, which we refer to as brain representations. In this Primer, we provide an overview of different brain representations, lay out the challenges that have led to the fractionation of the field and that continue to form obstacles for convergence, and propose concrete guidelines to unite the field. In this Primer article, Bijsterbosch and colleagues provide an accessible discussion of the challenges faced in analytical representations of functional brain organization and provide clear recommendations to unite a fractionated field.
AbstractList A key principle of brain organization is the functional integration of brain regions into interconnected networks. Functional MRI scans acquired at rest offer insights into functional integration via patterns of coherent fluctuations in spontaneous activity, known as functional connectivity. These patterns have been studied intensively and have been linked to cognition and disease. However, the field is fractionated. Diverging analysis approaches have segregated the community into research silos, limiting the replication and clinical translation of findings. A primary source of this fractionation is the diversity of approaches used to reduce complex brain data into a lower-dimensional set of features for analysis and interpretation, which we refer to as brain representations. In this Primer, we provide an overview of different brain representations, lay out the challenges that have led to the fractionation of the field and that continue to form obstacles for convergence, and propose concrete guidelines to unite the field.A key principle of brain organization is the functional integration of brain regions into interconnected networks. Functional MRI scans acquired at rest offer insights into functional integration via patterns of coherent fluctuations in spontaneous activity, known as functional connectivity. These patterns have been studied intensively and have been linked to cognition and disease. However, the field is fractionated. Diverging analysis approaches have segregated the community into research silos, limiting the replication and clinical translation of findings. A primary source of this fractionation is the diversity of approaches used to reduce complex brain data into a lower-dimensional set of features for analysis and interpretation, which we refer to as brain representations. In this Primer, we provide an overview of different brain representations, lay out the challenges that have led to the fractionation of the field and that continue to form obstacles for convergence, and propose concrete guidelines to unite the field.
A key principle of brain organization is the functional integration of brain regions into interconnected networks. Functional MRI scans acquired at rest offer insights into functional integration via patterns of coherent fluctuations in spontaneous activity, known as functional connectivity. These patterns have been studied intensively and have been linked to cognition and disease. However, the field is fractionated. Diverging analysis approaches have segregated the community into research silos, limiting the replication and clinical translation of findings. A primary source of this fractionation is the diversity of approaches used to reduce complex brain data into a lower-dimensional set of features for analysis and interpretation, which we refer to as brain representations. In this Primer, we provide an overview of different brain representations, lay out the challenges that have led to the fractionation of the field and that continue to form obstacles for convergence, and propose concrete guidelines to unite the field. In this Primer article, Bijsterbosch and colleagues provide an accessible discussion of the challenges faced in analytical representations of functional brain organization and provide clear recommendations to unite a fractionated field.
A key principle of brain organization is the functional integration of brain regions into interconnected networks. Functional MRI scans acquired at rest offer insights into functional integration via patterns of coherent fluctuations in spontaneous activity, known as functional connectivity. These patterns have been studied intensively and have been linked to cognition and disease. However, the field is fractionated. Diverging analysis approaches have segregated the community into research silos, limiting the replication and clinical translation of findings. A primary source of this fractionation is the diversity of approaches used to reduce complex brain data into a lower-dimensional set of features for analysis and interpretation, which we refer to as brain representations. In this Primer, we provide an overview of different brain representations, lay out the challenges that have led to the fractionation of the field and that continue to form obstacles for convergence, and propose concrete guidelines to unite the field.
A key principle of brain organization is the functional integration of brain regions into interconnected networks. Functional MRI scans acquired at rest offer insights into functional integration via patterns of coherent fluctuations in spontaneous activity, known as functional connectivity. These patterns have been studied intensively and have been linked to cognition and disease. However, the field is fractionated. Diverging analysis approaches have segregated the community into research silos, limiting the replication and clinical translation of findings. A primary source of this fractionation is the diversity of approaches used to reduce complex brain data into a lower-dimensional set of features for analysis and interpretation, which we refer to as brain representations. In this Primer, we provide an overview of different brain representations, lay out the challenges that have led to the fractionation of the field and that continue to form obstacles for convergence, and propose concrete guidelines to unite the field. In this Primer article, Bijsterbosch and colleagues provide an accessible discussion of the challenges faced in analytical representations of functional brain organization and provide clear recommendations to unite a fractionated field.
Audience Academic
Author Woolrich, Mark
Duff, Eugene P.
Smith, Stephen
Jbabdi, Saad
Bijsterbosch, Janine
Harrison, Samuel J.
Beckmann, Christian
Author_xml – sequence: 1
  givenname: Janine
  orcidid: 0000-0002-1385-9178
  surname: Bijsterbosch
  fullname: Bijsterbosch, Janine
  email: Janine.Bijsterbosch@wustl.edu
  organization: Mallinckrodt Institute of Radiology, Washington University in St Louis, Centre for Functional MRI of the Brain (FMRIB), Wellcome Centre for Integrative Neuroimaging, Nuffield Department of Clinical Neurosciences, University of Oxford. John Radcliffe Hospital
– sequence: 2
  givenname: Samuel J.
  orcidid: 0000-0002-5886-2389
  surname: Harrison
  fullname: Harrison, Samuel J.
  organization: Centre for Functional MRI of the Brain (FMRIB), Wellcome Centre for Integrative Neuroimaging, Nuffield Department of Clinical Neurosciences, University of Oxford. John Radcliffe Hospital, Translational Neuromodeling Unit, University of Zurich & ETH Zurich
– sequence: 3
  givenname: Saad
  surname: Jbabdi
  fullname: Jbabdi, Saad
  organization: Centre for Functional MRI of the Brain (FMRIB), Wellcome Centre for Integrative Neuroimaging, Nuffield Department of Clinical Neurosciences, University of Oxford. John Radcliffe Hospital
– sequence: 4
  givenname: Mark
  surname: Woolrich
  fullname: Woolrich, Mark
  organization: Oxford Centre for Human Brain Activity (OHBA), Wellcome Centre for Integrative Neuroimaging, Department of Psychiatry, University of Oxford, Warneford Hospital
– sequence: 5
  givenname: Christian
  surname: Beckmann
  fullname: Beckmann, Christian
  organization: Donders Institute and Department of Cognitive Neurosciences, Radboud University Medical Centre
– sequence: 6
  givenname: Stephen
  orcidid: 0000-0001-8166-069X
  surname: Smith
  fullname: Smith, Stephen
  organization: Centre for Functional MRI of the Brain (FMRIB), Wellcome Centre for Integrative Neuroimaging, Nuffield Department of Clinical Neurosciences, University of Oxford. John Radcliffe Hospital
– sequence: 7
  givenname: Eugene P.
  orcidid: 0000-0001-8795-5472
  surname: Duff
  fullname: Duff, Eugene P.
  email: eugene.duff@ndcn.ox.ac.uk
  organization: Centre for Functional MRI of the Brain (FMRIB), Wellcome Centre for Integrative Neuroimaging, Nuffield Department of Clinical Neurosciences, University of Oxford. John Radcliffe Hospital, Department of Paediatrics, University of Oxford, John Radcliffe Hospital
BackLink https://www.ncbi.nlm.nih.gov/pubmed/33106677$$D View this record in MEDLINE/PubMed
BookMark eNp9kk9r3DAQxUVJaf60X6CHYuilPTgdWZYsH8PSpIFAoW3OQpbGWwWvtJVsSPfTV14nhA0l6CBp-L3HMPNOyZEPHgl5T-GcApNfUk15y0qooARoKlHuXpETymtR0vw7ym9om1JUXByT05TuIFNctm_IMWMUhGiaE3K7-q2HAf0aU6G9LfppnCIW1kU0ows-FX2IRcRtxIR-1Est9Bn0e0APRRe180WIa-3dbk-8Ja97PSR893CfkdvLr79W38qb71fXq4ub0tSNGEuJTMtGM2lQdlZYoF1LmbHcWE0BK6HrrtMgsW1609U1UKBWA2uhqw3rKDsjnxbfbQx_Jkyj2rhkcBi0xzAlVdV5GpwDzOjHZ-hdmGJuf6YaVlEpZPtErfWAyvk-jFGb2VRdCA6ykVzM1Pl_qHwsbpzJS-pdrh8IPh8IMjPi_bjWU0rq-uePQ_bDQ6NTt0GrttFtdPyrHneWAbkAJoaUIvbKuGUxuQs3KApqjoda4qFyPNQ-HmqXpdUz6aP7iyK2iFKGc1Di0-ReUP0DTFLLsg
CitedBy_id crossref_primary_10_1126_science_adk4858
crossref_primary_10_1016_j_neuroimage_2022_118993
crossref_primary_10_1016_j_neuroimage_2023_119963
crossref_primary_10_1162_netn_a_00323
crossref_primary_10_1038_s42003_024_06401_4
crossref_primary_10_1038_s41537_025_00593_2
crossref_primary_10_1038_s41598_025_89257_w
crossref_primary_10_1002_wcs_1553
crossref_primary_10_1016_j_tics_2024_10_008
crossref_primary_10_1016_j_brainres_2024_149119
crossref_primary_10_3389_fmed_2021_768649
crossref_primary_10_1016_j_asoc_2024_112538
crossref_primary_10_1016_j_compbiomed_2022_106078
crossref_primary_10_1162_imag_a_00081
crossref_primary_10_1016_j_neuroimage_2021_118114
crossref_primary_10_1177_13623613211041904
crossref_primary_10_1016_j_pneurobio_2024_102604
crossref_primary_10_1093_gigascience_giae119
crossref_primary_10_7554_eLife_85082
crossref_primary_10_1007_s00429_021_02418_1
crossref_primary_10_1016_j_neuroimage_2021_118590
crossref_primary_10_1109_TBME_2022_3222072
crossref_primary_10_1016_j_neuroimage_2023_120044
crossref_primary_10_1523_JNEUROSCI_0856_23_2024
crossref_primary_10_1016_j_bpsgos_2022_07_008
crossref_primary_10_1038_s41467_023_38585_4
crossref_primary_10_59400_apr_v3i2_1439
crossref_primary_10_1038_s42003_024_06890_3
crossref_primary_10_1002_hbm_25742
crossref_primary_10_1016_j_neuroimage_2023_120125
crossref_primary_10_1016_j_neuroimage_2022_119433
crossref_primary_10_1038_s41398_024_03212_3
crossref_primary_10_1093_cercor_bhad393
crossref_primary_10_1016_j_bpsc_2024_07_024
crossref_primary_10_1016_j_tics_2022_12_011
crossref_primary_10_1016_j_tics_2023_05_006
crossref_primary_10_1038_s44220_023_00019_x
crossref_primary_10_1016_j_tics_2024_09_007
crossref_primary_10_1093_psyrad_kkab003
crossref_primary_10_7554_eLife_64694
crossref_primary_10_1126_sciadv_adq3079
crossref_primary_10_1038_s41467_024_52371_w
crossref_primary_10_1073_pnas_2219693120
crossref_primary_10_1016_j_jad_2022_03_035
crossref_primary_10_1186_s40537_024_00998_3
crossref_primary_10_1016_j_neubiorev_2023_105503
crossref_primary_10_1038_s41596_022_00696_5
crossref_primary_10_1038_s42003_022_03963_z
crossref_primary_10_1016_j_tjnut_2023_12_016
crossref_primary_10_1038_s41467_022_30244_4
crossref_primary_10_1016_j_celrep_2023_112527
crossref_primary_10_1109_TBME_2023_3319956
crossref_primary_10_3758_s13415_023_01136_x
crossref_primary_10_1016_j_neuroimage_2022_119347
crossref_primary_10_1007_s11682_023_00785_3
crossref_primary_10_3389_fnetp_2023_1338864
crossref_primary_10_3389_fpsyt_2024_1423008
crossref_primary_10_1016_j_crneur_2022_100030
crossref_primary_10_15252_embj_2022111790
crossref_primary_10_1093_cercor_bhab149
crossref_primary_10_3390_brainsci11020221
crossref_primary_10_1002_hbm_25728
crossref_primary_10_1093_brain_awab121
crossref_primary_10_1038_s41467_024_48781_5
crossref_primary_10_1038_s41598_022_18987_y
crossref_primary_10_1016_j_neuroimage_2022_119296
crossref_primary_10_1093_pnasnexus_pgad276
crossref_primary_10_1016_j_heares_2021_108280
crossref_primary_10_1097_CM9_0000000000002979
crossref_primary_10_3389_fneur_2021_671894
crossref_primary_10_1152_jn_00108_2023
crossref_primary_10_1002_advs_202307647
crossref_primary_10_1088_1361_6501_ad14e2
crossref_primary_10_1002_hbm_70008
crossref_primary_10_1016_j_neuroimage_2021_118427
crossref_primary_10_1097_WCO_0000000000001280
crossref_primary_10_1016_j_jneumeth_2021_109410
crossref_primary_10_1093_schbul_sbaf002
crossref_primary_10_1109_TIM_2025_3551032
crossref_primary_10_1016_j_neuroimage_2021_118466
crossref_primary_10_1038_s41598_022_15195_6
crossref_primary_10_1016_j_dcn_2021_101032
crossref_primary_10_1002_hbm_25878
crossref_primary_10_1146_annurev_devpsych_121318_085124
crossref_primary_10_1016_j_bnd_2024_10_004
crossref_primary_10_1016_j_neuroimage_2024_120911
crossref_primary_10_1038_s42003_021_02268_x
crossref_primary_10_1162_imag_a_00032
Cites_doi 10.1016/j.neuroimage.2020.116707
10.1093/cercor/bhu260
10.1016/j.tics.2013.09.016
10.1016/j.neuroimage.2014.09.058
10.1016/j.tics.2017.11.002
10.1016/j.neuroimage.2011.10.010
10.1016/j.neuroimage.2004.12.034
10.1002/hbm.22933
10.1371/journal.pone.0213861
10.1016/j.neuroimage.2017.02.018
10.1089/brain.2012.0080
10.1002/hbm.24241
10.1016/j.neuroimage.2015.01.013
10.1073/pnas.0913110107
10.1002/hbm.460020107
10.1038/nn.4393
10.1016/j.neuroimage.2018.04.076
10.1073/pnas.1902932116
10.1038/s41583-018-0071-7
10.1016/j.neuroimage.2013.05.116
10.1093/cercor/bhu239
10.1016/j.neuroimage.2017.07.014
10.1126/science.aad8127
10.1073/pnas.0905267106
10.1038/nn.4125
10.1162/jocn_a_00810
10.1371/journal.pcbi.1006120
10.1098/rstb.2005.1634
10.1016/j.neuroimage.2017.04.014
10.1016/j.neuroimage.2019.07.003
10.1523/JNEUROSCI.0217-18.2018
10.1038/s41593-019-0510-4
10.1016/j.neuroimage.2011.12.053
10.1089/brain.2016.0435
10.1016/j.jneumeth.2017.08.007
10.1038/nature06976
10.1016/j.neuroimage.2017.06.027
10.1016/j.neuroimage.2019.116366
10.1162/NECO_a_00065
10.1002/hbm.20580
10.1016/j.neuroimage.2010.08.063
10.1016/j.tics.2017.09.002
10.1016/j.neuroimage.2016.11.052
10.1016/j.neuron.2018.07.002
10.1002/mrm.1910340409
10.1016/j.neuroimage.2014.05.069
10.1038/s41562-017-0146
10.1016/j.neuroimage.2020.116604
10.1073/pnas.1608282113
10.1016/j.neuron.2017.07.011
10.1016/j.neuroimage.2016.09.038
10.1016/j.neuron.2017.06.038
10.1007/s10548-019-00744-6
10.1016/j.neuroimage.2019.02.062
10.1038/s41467-018-05316-z
10.1038/35084005
10.1016/j.neuroimage.2016.12.061
10.1016/j.conb.2012.12.004
10.1016/j.neuroimage.2020.117226
10.1016/j.neuroimage.2013.10.020
10.1016/j.neuroimage.2013.05.039
10.3389/fnins.2017.00115
10.1016/j.neuroimage.2013.04.127
10.1038/s41380-018-0063-z
10.1016/j.neuroimage.2013.05.079
10.1101/2020.01.08.899583
10.1016/j.neuroimage.2017.06.077
10.7554/eLife.32992
10.7554/eLife.44890
10.1016/j.neuron.2018.03.035
10.1006/nimg.2001.0978
10.1002/1522-2594(200007)44:1<162::AID-MRM23>3.0.CO;2-E
10.1016/j.neuroimage.2017.03.020
10.1016/j.neuroimage.2013.05.081
10.1038/nn.4504
10.1016/j.neuroimage.2019.116157
10.1016/j.neuroimage.2006.01.021
10.1016/j.neuroimage.2017.11.033
10.1093/cercor/bhy123
10.1038/nn.4478
10.1371/journal.pcbi.1000092
10.1002/hbm.21333
10.1001/jamapsychiatry.2019.3671
10.1038/nn.4135
10.1073/pnas.1602413113
10.1016/0166-2236(83)90167-4
10.1016/j.nicl.2019.101796
10.1016/j.neuroimage.2016.10.045
10.1038/nature18933
10.1016/j.neuroimage.2018.03.074
10.1016/j.neuroimage.2010.08.030
10.1523/JNEUROSCI.2912-18.2019
10.1093/cercor/bhx179
10.1073/pnas.1801582115
10.1038/s41592-018-0235-4
10.1038/s41586-020-2314-9
10.1016/j.neuroimage.2016.11.006
10.1016/j.neuroimage.2018.01.053
10.1002/mrm.22361
10.1016/j.neuroimage.2019.02.002
10.1038/nmeth.2451
10.1093/cercor/bhs352
10.1016/j.neuroimage.2013.05.108
10.1038/nrn.2016.167
10.1016/j.neuroimage.2016.10.038
10.1002/hbm.24381
10.1152/jn.00338.2011
10.1038/ncomms9885
10.1016/j.jneumeth.2008.04.012
10.7554/eLife.44443
10.1002/hbm.20182
10.1016/j.jneumeth.2013.04.010
ContentType Journal Article
Copyright Springer Nature America, Inc. 2020
COPYRIGHT 2020 Nature Publishing Group
Springer Nature America, Inc. 2020.
Copyright_xml – notice: Springer Nature America, Inc. 2020
– notice: COPYRIGHT 2020 Nature Publishing Group
– notice: Springer Nature America, Inc. 2020.
DBID AAYXX
CITATION
CGR
CUY
CVF
ECM
EIF
NPM
ISR
3V.
7QG
7QP
7QR
7TK
7TM
7U7
7U9
7X7
7XB
88E
88G
8AO
8FD
8FE
8FH
8FI
8FJ
8FK
ABUWG
AFKRA
AZQEC
BBNVY
BENPR
BHPHI
C1K
CCPQU
DWQXO
FR3
FYUFA
GHDGH
GNUQQ
H94
HCIFZ
K9.
LK8
M0S
M1P
M2M
M7P
P64
PHGZM
PHGZT
PJZUB
PKEHL
PPXIY
PQEST
PQGLB
PQQKQ
PQUKI
PRINS
PSYQQ
Q9U
RC3
7X8
DOI 10.1038/s41593-020-00726-z
DatabaseName CrossRef
Medline
MEDLINE
MEDLINE (Ovid)
MEDLINE
MEDLINE
PubMed
Gale In Context: Science
ProQuest Central (Corporate)
Animal Behavior Abstracts
Calcium & Calcified Tissue Abstracts
Chemoreception Abstracts
Neurosciences Abstracts
Nucleic Acids Abstracts
Toxicology Abstracts
Virology and AIDS Abstracts
Health & Medical Collection
ProQuest Central (purchase pre-March 2016)
Medical Database (Alumni Edition)
Psychology Database (Alumni)
ProQuest Pharma Collection
Technology Research Database
ProQuest SciTech Collection
ProQuest Natural Science Journals
Hospital Premium Collection
Hospital Premium Collection (Alumni Edition)
ProQuest Central (Alumni) (purchase pre-March 2016)
ProQuest Central (Alumni)
ProQuest Central UK/Ireland
ProQuest Central Essentials
Biological Science Collection
ProQuest Central
Natural Science Collection
Environmental Sciences and Pollution Management
ProQuest One
ProQuest Central Korea
Engineering Research Database
Health Research Premium Collection
Health Research Premium Collection (Alumni)
ProQuest Central Student
AIDS and Cancer Research Abstracts
SciTech Premium Collection
ProQuest Health & Medical Complete (Alumni)
Biological Sciences
ProQuest Health & Medical Collection
Medical Database
Psychology Database
Biological Science Database
Biotechnology and BioEngineering Abstracts
ProQuest Central Premium
ProQuest One Academic (New)
ProQuest Health & Medical Research Collection
ProQuest One Academic Middle East (New)
ProQuest One Health & Nursing
ProQuest One Academic Eastern Edition (DO NOT USE)
ProQuest One Applied & Life Sciences
ProQuest One Academic
ProQuest One Academic UKI Edition
ProQuest Central China
ProQuest One Psychology
ProQuest Central Basic
Genetics Abstracts
MEDLINE - Academic
DatabaseTitle CrossRef
MEDLINE
Medline Complete
MEDLINE with Full Text
PubMed
MEDLINE (Ovid)
ProQuest One Psychology
ProQuest Central Student
ProQuest Central Essentials
Nucleic Acids Abstracts
SciTech Premium Collection
ProQuest Central China
Environmental Sciences and Pollution Management
ProQuest One Applied & Life Sciences
Health Research Premium Collection
Natural Science Collection
Health & Medical Research Collection
Biological Science Collection
Chemoreception Abstracts
ProQuest Central (New)
ProQuest Medical Library (Alumni)
Virology and AIDS Abstracts
ProQuest Biological Science Collection
ProQuest One Academic Eastern Edition
ProQuest Hospital Collection
Health Research Premium Collection (Alumni)
Biological Science Database
Neurosciences Abstracts
ProQuest Hospital Collection (Alumni)
Biotechnology and BioEngineering Abstracts
ProQuest Health & Medical Complete
ProQuest One Academic UKI Edition
Engineering Research Database
ProQuest One Academic
Calcium & Calcified Tissue Abstracts
ProQuest One Academic (New)
Technology Research Database
ProQuest One Academic Middle East (New)
ProQuest Health & Medical Complete (Alumni)
ProQuest Central (Alumni Edition)
ProQuest One Community College
ProQuest One Health & Nursing
ProQuest Natural Science Collection
ProQuest Pharma Collection
ProQuest Central
ProQuest Health & Medical Research Collection
Genetics Abstracts
Health and Medicine Complete (Alumni Edition)
ProQuest Central Korea
AIDS and Cancer Research Abstracts
ProQuest Central Basic
Toxicology Abstracts
ProQuest Psychology Journals (Alumni)
ProQuest SciTech Collection
ProQuest Medical Library
ProQuest Psychology Journals
Animal Behavior Abstracts
ProQuest Central (Alumni)
MEDLINE - Academic
DatabaseTitleList MEDLINE - Academic




MEDLINE
ProQuest One Psychology
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
– sequence: 3
  dbid: BENPR
  name: ProQuest Central
  url: https://www.proquest.com/central
  sourceTypes: Aggregation Database
DeliveryMethod fulltext_linktorsrc
Discipline Anatomy & Physiology
EISSN 1546-1726
EndPage 1495
ExternalDocumentID A650878569
33106677
10_1038_s41593_020_00726_z
Genre Research Support, Non-U.S. Gov't
Journal Article
Review
GeographicLocations United States
GeographicLocations_xml – name: United States
GrantInformation_xml – fundername: SSNAP “Support for Sick and Newborn Infants and their Parents” Medical Research Fund (University of Oxford Excellence Fellowship)
– fundername: Strategic Focal Area “Personalized Health and Related Technologies (PHRT)” of the ETH Domain
– fundername: Wellcome Trust (Wellcome)
  grantid: 098369/Z/12/Z; 215573/Z/19/Z
  funderid: https://doi.org/10.13039/100004440
– fundername: University of Oxford (Oxford University)
  funderid: https://doi.org/10.13039/501100000769
– fundername: Department of Health
– fundername: Wellcome Trust
  grantid: 215573/Z/19/Z
– fundername: Wellcome Trust
  grantid: 106183/Z/14/Z
– fundername: Wellcome Trust
  grantid: 098369/Z/12/Z
– fundername: Medical Research Council
  grantid: MR/L009013/1
GroupedDBID ---
-DZ
.55
.GJ
0R~
123
29M
2FS
36B
39C
3V.
4.4
53G
5BI
5RE
70F
7X7
85S
88E
8AO
8FI
8FJ
8R4
8R5
AAEEF
AARCD
AAYZH
AAZLF
ABAWZ
ABDBF
ABIVO
ABJNI
ABLJU
ABUWG
ACBWK
ACGFS
ACIWK
ACNCT
ACPRK
ACUHS
ADBBV
AENEX
AFBBN
AFKRA
AFRAH
AFSHS
AGAYW
AGHTU
AHBCP
AHMBA
AHOSX
AHSBF
AIBTJ
ALFFA
ALIPV
ALMA_UNASSIGNED_HOLDINGS
ARMCB
ASPBG
AVWKF
AXYYD
AZFZN
AZQEC
B0M
BBNVY
BENPR
BHPHI
BKKNO
BPHCQ
BVXVI
CCPQU
CS3
D0L
DB5
DU5
DWQXO
EAD
EAP
EBC
EBD
EBS
EE.
EJD
EMB
EMK
EMOBN
EPL
EPS
ESX
EXGXG
F5P
FEDTE
FQGFK
FSGXE
FYUFA
GNUQQ
HCIFZ
HMCUK
HVGLF
HZ~
IAO
IGS
IHR
INH
INR
IPY
ISR
ITC
M1P
M2M
M7P
MVM
N9A
NNMJJ
O9-
ODYON
P2P
PQQKQ
PROAC
PSQYO
PSYQQ
Q2X
RNS
RNT
RNTTT
SHXYY
SIXXV
SNYQT
SOJ
SV3
TAOOD
TBHMF
TDRGL
TSG
TUS
UKHRP
X7M
XJT
YNT
YQT
ZGI
~8M
AAYXX
ABFSG
ACSTC
AETEA
AEZWR
AFANA
AFHIU
AHWEU
AIXLP
ALPWD
ATHPR
CITATION
PHGZM
PHGZT
ADXHL
CGR
CUY
CVF
ECM
EIF
NFIDA
NPM
PJZUB
PPXIY
PQGLB
AEIIB
PMFND
7QG
7QP
7QR
7TK
7TM
7U7
7U9
7XB
8FD
8FE
8FH
8FK
C1K
FR3
H94
K9.
LK8
P64
PKEHL
PQEST
PQUKI
PRINS
Q9U
RC3
7X8
ID FETCH-LOGICAL-c476t-8e3a87a38ce8bd6d01b913cd5cda10e26a4bba08e97fcb440101da0390b4c3b13
IEDL.DBID 7X7
ISSN 1097-6256
1546-1726
IngestDate Fri Jul 11 03:09:09 EDT 2025
Sat Aug 23 13:08:36 EDT 2025
Tue Jun 17 21:55:43 EDT 2025
Tue Jun 10 20:36:10 EDT 2025
Fri Jun 27 04:03:47 EDT 2025
Mon Jul 21 06:04:59 EDT 2025
Tue Jul 01 03:21:49 EDT 2025
Thu Apr 24 23:10:02 EDT 2025
Fri Feb 21 02:39:25 EST 2025
IsPeerReviewed true
IsScholarly true
Issue 12
Language English
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-c476t-8e3a87a38ce8bd6d01b913cd5cda10e26a4bba08e97fcb440101da0390b4c3b13
Notes ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ObjectType-Review-3
content type line 23
ORCID 0000-0002-1385-9178
0000-0002-5886-2389
0000-0001-8166-069X
0000-0001-8795-5472
PMID 33106677
PQID 2473218689
PQPubID 44706
PageCount 12
ParticipantIDs proquest_miscellaneous_2454655001
proquest_journals_2473218689
gale_infotracmisc_A650878569
gale_infotracacademiconefile_A650878569
gale_incontextgauss_ISR_A650878569
pubmed_primary_33106677
crossref_citationtrail_10_1038_s41593_020_00726_z
crossref_primary_10_1038_s41593_020_00726_z
springer_journals_10_1038_s41593_020_00726_z
ProviderPackageCode CITATION
AAYXX
PublicationCentury 2000
PublicationDate 2020-12-01
PublicationDateYYYYMMDD 2020-12-01
PublicationDate_xml – month: 12
  year: 2020
  text: 2020-12-01
  day: 01
PublicationDecade 2020
PublicationPlace New York
PublicationPlace_xml – name: New York
– name: United States
PublicationTitle Nature neuroscience
PublicationTitleAbbrev Nat Neurosci
PublicationTitleAlternate Nat Neurosci
PublicationYear 2020
Publisher Nature Publishing Group US
Nature Publishing Group
Publisher_xml – name: Nature Publishing Group US
– name: Nature Publishing Group
References Yu (CR106) 2018; 39
Braga, Buckner (CR66) 2017; 95
Shen, Tokoglu, Papademetris, Constable (CR19) 2013; 82
Van Essen, Glasser (CR1) 2018; 99
Poldrack (CR67) 2015; 6
Varoquaux, Gramfort, Pedregosa, Michel, Thirion (CR25) 2011; 22
Dinga (CR111) 2019; 22
Park, Friston, Pae, Park, Razi (CR96) 2018; 180
Eavani (CR26) 2015; 105
Biswal, Yetkin, Haughton, Hyde (CR94) 1995; 34
Hutchison (CR33) 2013; 80
Bijsterbosch (CR62) 2018; 7
Vidaurre (CR36) 2018; 9
Preti, Bolton, Van De Ville (CR34) 2017; 160
Noble, Scheinost, Constable (CR102) 2019; 203
Poldrack (CR115) 2017; 18
Mumford, Ramsey (CR99) 2014; 86
Chen (CR78) 2020; 213
Kucyi (CR88) 2018; 38
Botvinik-Nezer (CR4) 2020; 582
Bijsterbosch (CR39) 2017; 159
Pervaiz, Vidaurre, Woolrich, Smith (CR57) 2020; 211
Deco, Jirsa, Robinson, Breakspear, Friston (CR84) 2008; 4
Betzel (CR51) 2019; 202
Logothetis (CR52) 2008; 453
Marquand, Haak, Beckmann (CR44) 2017; 1
Horien, Shen, Scheinost, Constable (CR75) 2019; 189
Logothetis, Pauls, Augath, Trinath, Oeltermann (CR86) 2001; 412
Glasser (CR10) 2016; 536
CR50
Gordon (CR70) 2017; 95
Nickerson, Smith, Öngür, Beckmann (CR32) 2017; 11
Allen (CR35) 2014; 24
Glasser (CR104) 2013; 80
Ferrante (CR6) 2019; 24
Huntenburg, Bazin, Margulies (CR43) 2018; 22
Poldrack, Huckins, Varoquaux (CR7) 2020; 77
Beckmann, DeLuca, Devlin, Smith (CR23) 2005; 360
Margulies (CR45) 2016; 113
Lopes-dos-Santos, Ribeiro, Tort (CR8) 2013; 220
Tavor (CR63) 2016; 352
Yeo (CR22) 2011; 106
Betzel, Bassett (CR29) 2017; 160
Baillet (CR89) 2017; 20
Guntupalli, Feilong, Haxby (CR73) 2018; 14
Saad (CR108) 2012; 2
Majeed (CR46) 2011; 54
Eickhoff, Yeo, Genon (CR5) 2018; 19
Harrison (CR24) 2015; 109
Patel, Bowman, Rilling (CR97) 2006; 27
Glover, Li, Ress (CR109) 2000; 44
Robinson (CR65) 2014; 100
Schwab (CR100) 2018; 175
Smith (CR28) 2013; 17
Smith (CR83) 2009; 106
Reid (CR3) 2019; 22
Varoquaux (CR112) 2017; 145
Gratton (CR76) 2018; 98
Abraham (CR55) 2017; 147
Tzourio-Mazoyer (CR14) 2002; 15
Eickhoff, Constable, Yeo (CR13) 2018; 170
Salehi (CR77) 2020; 208
Smith (CR9) 2013; 80
Smith (CR31) 2015; 18
Moeller (CR53) 2010; 63
Van Essen, Maunsell (CR93) 1983; 6
Duff (CR56) 2012; 60
Vidaurre (CR92) 2018; 180
Shmuel, Leopold (CR87) 2008; 29
Hyvärinen, Smith (CR98) 2013; 14
Woo, Chang, Lindquist, Wager (CR47) 2017; 20
Jbabdi, Sotiropoulos, Behrens (CR49) 2013; 23
Schaefer (CR18) 2018; 28
Power, Laumann, Plitt, Martin, Petersen (CR81) 2017; 21
CR2
Gordon (CR21) 2016; 26
Power, Plitt, Laumann, Martin (CR107) 2017; 146
Smith (CR61) 2019; 39
Coalson, Van Essen, Glasser (CR64) 2018; 115
Arslan (CR114) 2018; 170
Finn (CR30) 2015; 18
Schölvinck, Maier, Ye, Duyn, Leopold (CR91) 2010; 107
Eickhoff (CR16) 2005; 25
Kong (CR41) 2019; 29
Dadi (CR17) 2019; 192
Craddock, James, Holtzheimer, Hu, Mayberg (CR20) 2012; 33
Friston (CR27) 1994; 2
Allen, Erhardt, Wei, Eichele, Calhoun (CR59) 2012; 59
Bentley, Li, Snyder, Raichle, Snyder (CR90) 2016; 26
Glasser (CR110) 2018; 181
Ciric (CR79) 2017; 154
Miller (CR38) 2016; 19
Yu (CR54) 2017; 291
Bijsterbosch, Beckmann, Woolrich, Smith, Harrison (CR40) 2019; 8
Vanderwal (CR72) 2017; 157
Uddin, Yeo, Spreng (CR12) 2019; 32
Desikan (CR15) 2006; 31
Zou (CR37) 2008; 172
Harrison (CR71) 2020; 222
Llera, Wolfers, Mulders, Beckmann (CR60) 2019; 8
Seitzman (CR68) 2019; 116
Medaglia, Lynall, Bassett (CR95) 2015; 27
Smith (CR58) 2011; 54
Hacker (CR69) 2013; 82
Hallquist, Hwang, Luna (CR82) 2013; 82
Sala-Llonch, Smith, Woolrich, Duff (CR101) 2019; 40
Bargmann, Marder (CR48) 2013; 10
Murphy, Fox (CR80) 2017; 154
Eklund, Nichols, Knutsson (CR113) 2016; 113
Duff, Makin, Cottaar, Smith, Woolrich (CR42) 2018; 173
Eickhoff, Thirion, Varoquaux, Bzdok (CR11) 2015; 36
Burgess (CR103) 2016; 6
Kieliba, Madugula, Filippini, Duff, Makin (CR74) 2019; 14
Esteban (CR105) 2019; 16
Buibas, Silva (CR85) 2011; 23
A Abraham (726_CR55) 2017; 147
SM Smith (726_CR28) 2013; 17
SB Eickhoff (726_CR16) 2005; 25
S Baillet (726_CR89) 2017; 20
R Botvinik-Nezer (726_CR4) 2020; 582
GH Glover (726_CR109) 2000; 44
AF Marquand (726_CR44) 2017; 1
U Pervaiz (726_CR57) 2020; 211
SJ Harrison (726_CR71) 2020; 222
C-W Woo (726_CR47) 2017; 20
BTT Yeo (726_CR22) 2011; 106
G Deco (726_CR84) 2008; 4
ZS Saad (726_CR108) 2012; 2
C Horien (726_CR75) 2019; 189
JD Bijsterbosch (726_CR40) 2019; 8
RF Betzel (726_CR51) 2019; 202
EM Gordon (726_CR70) 2017; 95
M Yu (726_CR106) 2018; 39
DS Margulies (726_CR45) 2016; 113
MF Glasser (726_CR10) 2016; 536
MG Preti (726_CR34) 2017; 160
K Murphy (726_CR80) 2017; 154
JD Bijsterbosch (726_CR62) 2018; 7
RM Hutchison (726_CR33) 2013; 80
O Esteban (726_CR105) 2019; 16
SM Smith (726_CR9) 2013; 80
R Kong (726_CR41) 2019; 29
KL Miller (726_CR38) 2016; 19
JA Mumford (726_CR99) 2014; 86
EP Duff (726_CR42) 2018; 173
D Vidaurre (726_CR36) 2018; 9
S Noble (726_CR102) 2019; 203
Q Yu (726_CR54) 2017; 291
JD Power (726_CR107) 2017; 146
RS Desikan (726_CR15) 2006; 31
B Biswal (726_CR94) 1995; 34
C Gratton (726_CR76) 2018; 98
NK Logothetis (726_CR52) 2008; 453
T Vanderwal (726_CR72) 2017; 157
A Kucyi (726_CR88) 2018; 38
RA Poldrack (726_CR115) 2017; 18
RC Craddock (726_CR20) 2012; 33
K Dadi (726_CR17) 2019; 192
V Lopes-dos-Santos (726_CR8) 2013; 220
H Eavani (726_CR26) 2015; 105
S Schwab (726_CR100) 2018; 175
MF Glasser (726_CR110) 2018; 181
DC Van Essen (726_CR93) 1983; 6
A Hyvärinen (726_CR98) 2013; 14
RA Poldrack (726_CR67) 2015; 6
SM Smith (726_CR58) 2011; 54
N Tzourio-Mazoyer (726_CR14) 2002; 15
M Buibas (726_CR85) 2011; 23
AT Reid (726_CR3) 2019; 22
S Jbabdi (726_CR49) 2013; 23
EM Gordon (726_CR21) 2016; 26
S Moeller (726_CR53) 2010; 63
CI Bargmann (726_CR48) 2013; 10
R Sala-Llonch (726_CR101) 2019; 40
KJ Friston (726_CR27) 1994; 2
S Arslan (726_CR114) 2018; 170
SM Smith (726_CR83) 2009; 106
G Varoquaux (726_CR112) 2017; 145
I Tavor (726_CR63) 2016; 352
EA Allen (726_CR59) 2012; 59
RM Braga (726_CR66) 2017; 95
SM Smith (726_CR31) 2015; 18
JE Chen (726_CR78) 2020; 213
R Ciric (726_CR79) 2017; 154
ES Finn (726_CR30) 2015; 18
W Majeed (726_CR46) 2011; 54
TS Coalson (726_CR64) 2018; 115
726_CR50
A Llera (726_CR60) 2019; 8
RS Patel (726_CR97) 2006; 27
LD Nickerson (726_CR32) 2017; 11
P Kieliba (726_CR74) 2019; 14
JM Huntenburg (726_CR43) 2018; 22
EP Duff (726_CR56) 2012; 60
GC Burgess (726_CR103) 2016; 6
A Schaefer (726_CR18) 2018; 28
M Salehi (726_CR77) 2020; 208
MN Hallquist (726_CR82) 2013; 82
EC Robinson (726_CR65) 2014; 100
JS Guntupalli (726_CR73) 2018; 14
MF Glasser (726_CR104) 2013; 80
DC Van Essen (726_CR1) 2018; 99
EA Allen (726_CR35) 2014; 24
S Smith (726_CR61) 2019; 39
SB Eickhoff (726_CR13) 2018; 170
JD Power (726_CR81) 2017; 21
SB Eickhoff (726_CR5) 2018; 19
RF Betzel (726_CR29) 2017; 160
JD Medaglia (726_CR95) 2015; 27
LQ Uddin (726_CR12) 2019; 32
BA Seitzman (726_CR68) 2019; 116
ML Schölvinck (726_CR91) 2010; 107
G Varoquaux (726_CR25) 2011; 22
X Shen (726_CR19) 2013; 82
A Eklund (726_CR113) 2016; 113
Q-H Zou (726_CR37) 2008; 172
SJ Harrison (726_CR24) 2015; 109
CD Hacker (726_CR69) 2013; 82
H-J Park (726_CR96) 2018; 180
R Dinga (726_CR111) 2019; 22
RA Poldrack (726_CR7) 2020; 77
NK Logothetis (726_CR86) 2001; 412
A Shmuel (726_CR87) 2008; 29
726_CR2
CF Beckmann (726_CR23) 2005; 360
M Ferrante (726_CR6) 2019; 24
J Bijsterbosch (726_CR39) 2017; 159
WJ Bentley (726_CR90) 2016; 26
D Vidaurre (726_CR92) 2018; 180
SB Eickhoff (726_CR11) 2015; 36
References_xml – volume: 24
  start-page: 479
  year: 2019
  end-page: 483
  ident: CR6
  article-title: Computational psychiatry: a report from the 2017 NIMH workshop on opportunities and challenges
  publication-title: Mol. Psychiatry
– volume: 17
  start-page: 666
  year: 2013
  end-page: 682
  ident: CR28
  article-title: Functional connectomics from resting-state fMRI
  publication-title: Trends Cogn. Sci.
– volume: 95
  start-page: 457
  year: 2017
  end-page: 471.e5
  ident: CR66
  article-title: Parallel interdigitated distributed networks within the individual estimated by intrinsic functional connectivity
  publication-title: Neuron
– volume: 54
  start-page: 1140
  year: 2011
  end-page: 1150
  ident: CR46
  article-title: Spatiotemporal dynamics of low frequency BOLD fluctuations in rats and humans
  publication-title: Neuroimage
– volume: 23
  start-page: 207
  year: 2013
  end-page: 215
  ident: CR49
  article-title: The topographic connectome
  publication-title: Curr. Opin. Neurobiol.
– volume: 160
  start-page: 73
  year: 2017
  end-page: 83
  ident: CR29
  article-title: Multi-scale brain networks
  publication-title: Neuroimage
– volume: 115
  start-page: E6356
  year: 2018
  end-page: E6365
  ident: CR64
  article-title: The impact of traditional neuroimaging methods on the spatial localization of cortical areas
  publication-title: Proc. Natl. Acad. Sci. USA
– volume: 18
  start-page: 1664
  year: 2015
  end-page: 1671
  ident: CR30
  article-title: Functional connectome fingerprinting: identifying individuals using patterns of brain connectivity
  publication-title: Nat. Neurosci.
– volume: 145
  start-page: 166
  year: 2017
  end-page: 179
  ident: CR112
  article-title: Assessing and tuning brain decoders: cross-validation, caveats, and guidelines
  publication-title: Neuroimage
– volume: 25
  start-page: 1325
  year: 2005
  end-page: 1335
  ident: CR16
  article-title: A new SPM toolbox for combining probabilistic cytoarchitectonic maps and functional imaging data
  publication-title: Neuroimage
– volume: 60
  start-page: 189
  year: 2012
  end-page: 203
  ident: CR56
  article-title: Task-driven ICA feature generation for accurate and interpretable prediction using fMRI
  publication-title: Neuroimage
– volume: 189
  start-page: 676
  year: 2019
  end-page: 687
  ident: CR75
  article-title: The individual functional connectome is unique and stable over months to years
  publication-title: Neuroimage
– volume: 28
  start-page: 3095
  year: 2018
  end-page: 3114
  ident: CR18
  article-title: Local-global parcellation of the human cerebral cortex from intrinsic functional connectivity MRI
  publication-title: Cereb. Cortex
– volume: 19
  start-page: 672
  year: 2018
  end-page: 686
  ident: CR5
  article-title: Imaging-based parcellations of the human brain
  publication-title: Nat. Rev. Neurosci.
– volume: 39
  start-page: 6136
  year: 2019
  end-page: 6149
  ident: CR61
  article-title: Structural variability in the human brain reflects fine-grained functional architecture at the population level
  publication-title: J. Neurosci.
– volume: 192
  start-page: 115
  year: 2019
  end-page: 134
  ident: CR17
  article-title: Benchmarking functional connectome-based predictive models for resting-state fMRI
  publication-title: Neuroimage
– volume: 80
  start-page: 360
  year: 2013
  end-page: 378
  ident: CR33
  article-title: Dynamic functional connectivity: promise, issues, and interpretations
  publication-title: Neuroimage
– volume: 99
  start-page: 640
  year: 2018
  end-page: 663
  ident: CR1
  article-title: Parcellating cerebral cortex: how invasive animal studies inform noninvasive mapmaking in humans
  publication-title: Neuron
– volume: 2
  start-page: 56
  year: 1994
  end-page: 78
  ident: CR27
  article-title: Functional and effective connectivity in neuroimaging: a synthesis
  publication-title: Hum. Brain Mapp.
– volume: 8
  start-page: e44443
  year: 2019
  ident: CR60
  article-title: Inter-individual differences in human brain structure and morphology link to variation in demographics and behavior
  publication-title: eLife
– volume: 6
  start-page: 669
  year: 2016
  end-page: 680
  ident: CR103
  article-title: Evaluation of denoising strategies to address motion-correlated artifacts in resting-state functional magnetic resonance imaging data from the Human Connectome Project
  publication-title: Brain Connect.
– volume: 170
  start-page: 5
  year: 2018
  end-page: 30
  ident: CR114
  article-title: Human brain mapping: a systematic comparison of parcellation methods for the human cerebral cortex
  publication-title: Neuroimage
– volume: 172
  start-page: 137
  year: 2008
  end-page: 141
  ident: CR37
  article-title: An improved approach to detection of amplitude of low-frequency fluctuation (ALFF) for resting-state fMRI: fractional ALFF
  publication-title: J. Neurosci. Methods
– volume: 77
  start-page: 534
  year: 2020
  end-page: 540
  ident: CR7
  article-title: Establishment of best practices for evidence for prediction: a review
  publication-title: JAMA Psychiatry
– volume: 582
  start-page: 84
  year: 2020
  end-page: 88
  ident: CR4
  article-title: Variability in the analysis of a single neuroimaging dataset by many teams
  publication-title: Nature
– volume: 147
  start-page: 736
  year: 2017
  end-page: 745
  ident: CR55
  article-title: Deriving reproducible biomarkers from multi-site resting-state data: An Autism-based example
  publication-title: Neuroimage
– volume: 34
  start-page: 537
  year: 1995
  end-page: 541
  ident: CR94
  article-title: Functional connectivity in the motor cortex of resting human brain using echo-planar MRI
  publication-title: Magn. Reson. Med.
– volume: 180
  start-page: 646
  year: 2018
  end-page: 656
  ident: CR92
  article-title: Discovering dynamic brain networks from big data in rest and task
  publication-title: Neuroimage
– volume: 14
  start-page: 111
  year: 2013
  end-page: 152
  ident: CR98
  article-title: Pairwise likelihood ratios for estimation of non-Gaussian structural equation models
  publication-title: J. Mach. Learn. Res.
– volume: 154
  start-page: 169
  year: 2017
  end-page: 173
  ident: CR80
  article-title: Towards a consensus regarding global signal regression for resting state functional connectivity MRI
  publication-title: Neuroimage
– volume: 31
  start-page: 968
  year: 2006
  end-page: 980
  ident: CR15
  article-title: An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest
  publication-title: Neuroimage
– volume: 106
  start-page: 13040
  year: 2009
  end-page: 13045
  ident: CR83
  article-title: Correspondence of the brain’s functional architecture during activation and rest
  publication-title: Proc. Natl. Acad. Sci. USA
– volume: 146
  start-page: 609
  year: 2017
  end-page: 625
  ident: CR107
  article-title: Sources and implications of whole-brain fMRI signals in humans
  publication-title: Neuroimage
– volume: 109
  start-page: 217
  year: 2015
  end-page: 231
  ident: CR24
  article-title: Large-scale probabilistic functional modes from resting state fMRI
  publication-title: Neuroimage
– volume: 453
  start-page: 869
  year: 2008
  end-page: 878
  ident: CR52
  article-title: What we can do and what we cannot do with fMRI
  publication-title: Nature
– volume: 157
  start-page: 521
  year: 2017
  end-page: 530
  ident: CR72
  article-title: Individual differences in functional connectivity during naturalistic viewing conditions
  publication-title: Neuroimage
– volume: 80
  start-page: 105
  year: 2013
  end-page: 124
  ident: CR104
  article-title: The minimal preprocessing pipelines for the Human Connectome Project
  publication-title: Neuroimage
– volume: 220
  start-page: 149
  year: 2013
  end-page: 166
  ident: CR8
  article-title: Detecting cell assemblies in large neuronal populations
  publication-title: J. Neurosci. Methods
– volume: 20
  start-page: 365
  year: 2017
  end-page: 377
  ident: CR47
  article-title: Building better biomarkers: brain models in translational neuroimaging
  publication-title: Nat. Neurosci.
– volume: 59
  start-page: 4141
  year: 2012
  end-page: 4159
  ident: CR59
  article-title: Capturing inter-subject variability with group independent component analysis of fMRI data: a simulation study
  publication-title: Neuroimage
– volume: 352
  start-page: 216
  year: 2016
  end-page: 220
  ident: CR63
  article-title: Task-free MRI predicts individual differences in brain activity during task performance
  publication-title: Science
– volume: 106
  start-page: 1125
  year: 2011
  end-page: 1165
  ident: CR22
  article-title: The organization of the human cerebral cortex estimated by intrinsic functional connectivity
  publication-title: J. Neurophysiol.
– volume: 181
  start-page: 692
  year: 2018
  end-page: 717
  ident: CR110
  article-title: Using temporal ICA to selectively remove global noise while preserving global signal in functional MRI data
  publication-title: Neuroimage
– volume: 8
  start-page: e44890
  year: 2019
  ident: CR40
  article-title: The relationship between spatial configuration and functional connectivity of brain regions revisited
  publication-title: eLife
– volume: 536
  start-page: 171
  year: 2016
  end-page: 178
  ident: CR10
  article-title: A multi-modal parcellation of human cerebral cortex
  publication-title: Nature
– volume: 36
  start-page: 4771
  year: 2015
  end-page: 4792
  ident: CR11
  article-title: Connectivity-based parcellation: critique and implications
  publication-title: Hum. Brain Mapp.
– volume: 39
  start-page: 4213
  year: 2018
  end-page: 4227
  ident: CR106
  article-title: Statistical harmonization corrects site effects in functional connectivity measurements from multi-site fMRI data
  publication-title: Hum. Brain Mapp.
– volume: 113
  start-page: 12574
  year: 2016
  end-page: 12579
  ident: CR45
  article-title: Situating the default-mode network along a principal gradient of macroscale cortical organization
  publication-title: Proc. Natl. Acad. Sci. USA
– volume: 18
  start-page: 1565
  year: 2015
  end-page: 1567
  ident: CR31
  article-title: A positive-negative mode of population covariation links brain connectivity, demographics and behavior
  publication-title: Nat. Neurosci.
– volume: 14
  start-page: e0213861
  year: 2019
  ident: CR74
  article-title: Large-scale intrinsic connectivity is consistent across varying task demands
  publication-title: PLoS One
– volume: 22
  start-page: 1751
  year: 2019
  end-page: 1760
  ident: CR3
  article-title: Advancing functional connectivity research from association to causation
  publication-title: Nat. Neurosci.
– volume: 211
  start-page: 116604
  year: 2020
  ident: CR57
  article-title: Optimising network modelling methods for fMRI
  publication-title: NeuroImage
– volume: 15
  start-page: 273
  year: 2002
  end-page: 289
  ident: CR14
  article-title: Automated anatomical labeling of activations in SPM using a macroscopic anatomical parcellation of the MNI MRI single-subject brain
  publication-title: Neuroimage
– volume: 27
  start-page: 1471
  year: 2015
  end-page: 1491
  ident: CR95
  article-title: Cognitive network neuroscience
  publication-title: J. Cogn. Neurosci.
– volume: 21
  start-page: 911
  year: 2017
  end-page: 913
  ident: CR81
  article-title: On global fMRI signals and simulations
  publication-title: Trends Cogn. Sci.
– volume: 19
  start-page: 1523
  year: 2016
  end-page: 1536
  ident: CR38
  article-title: Multimodal population brain imaging in the UK Biobank prospective epidemiological study
  publication-title: Nat. Neurosci.
– volume: 170
  start-page: 332
  year: 2018
  end-page: 347
  ident: CR13
  article-title: Topographic organization of the cerebral cortex and brain cartography
  publication-title: Neuroimage
– volume: 27
  start-page: 267
  year: 2006
  end-page: 276
  ident: CR97
  article-title: A Bayesian approach to determining connectivity of the human brain
  publication-title: Hum. Brain Mapp.
– volume: 44
  start-page: 162
  year: 2000
  end-page: 167
  ident: CR109
  article-title: Image-based method for retrospective correction of physiological motion effects in fMRI: RETROICOR
  publication-title: Magn. Reson. Med.
– volume: 16
  start-page: 111
  year: 2019
  end-page: 116
  ident: CR105
  article-title: fMRIPrep: a robust preprocessing pipeline for functional MRI
  publication-title: Nat. Methods
– volume: 173
  start-page: 540
  year: 2018
  end-page: 550
  ident: CR42
  article-title: Disambiguating brain functional connectivity
  publication-title: Neuroimage
– volume: 29
  start-page: 751
  year: 2008
  end-page: 761
  ident: CR87
  article-title: Neuronal correlates of spontaneous fluctuations in fMRI signals in monkey visual cortex: Implications for functional connectivity at rest
  publication-title: Hum. Brain Mapp.
– volume: 23
  start-page: 183
  year: 2011
  end-page: 214
  ident: CR85
  article-title: A framework for simulating and estimating the state and functional topology of complex dynamic geometric networks
  publication-title: Neural Comput.
– volume: 26
  start-page: 346
  year: 2016
  end-page: 357
  ident: CR90
  article-title: Oxygen level and LFP in task-positive and task-negative areas: bridging BOLD fMRI and electrophysiology
  publication-title: Cereb. Cortex
– volume: 412
  start-page: 150
  year: 2001
  end-page: 157
  ident: CR86
  article-title: Neurophysiological investigation of the basis of the fMRI signal
  publication-title: Nature
– volume: 82
  start-page: 616
  year: 2013
  end-page: 633
  ident: CR69
  article-title: Resting state network estimation in individual subjects
  publication-title: Neuroimage
– volume: 213
  start-page: 116707
  year: 2020
  ident: CR78
  article-title: Resting-state “physiological networks”
  publication-title: NeuroImage
– volume: 6
  start-page: 370
  year: 1983
  end-page: 375
  ident: CR93
  article-title: Hierarchical organization and functional streams in the visual cortex
  publication-title: Trends Neurosci.
– volume: 14
  start-page: e1006120
  year: 2018
  ident: CR73
  article-title: A computational model of shared fine-scale structure in the human connectome
  publication-title: PLOS Comput. Biol.
– volume: 4
  start-page: e1000092
  year: 2008
  ident: CR84
  article-title: The dynamic brain: from spiking neurons to neural masses and cortical fields
  publication-title: PLOS Comput. Biol.
– volume: 100
  start-page: 414
  year: 2014
  end-page: 426
  ident: CR65
  article-title: MSM: a new flexible framework for multimodal surface matching
  publication-title: Neuroimage
– volume: 86
  start-page: 573
  year: 2014
  end-page: 582
  ident: CR99
  article-title: Bayesian networks for fMRI: a primer
  publication-title: Neuroimage
– volume: 105
  start-page: 286
  year: 2015
  end-page: 299
  ident: CR26
  article-title: Identifying sparse connectivity patterns in the brain using resting-state fMRI
  publication-title: Neuroimage
– volume: 29
  start-page: 2533
  year: 2019
  end-page: 2551
  ident: CR41
  article-title: Spatial topography of individual-specific cortical networks predicts human cognition, personality, and emotion
  publication-title: Cereb. Cortex
– volume: 1
  start-page: 0146
  year: 2017
  ident: CR44
  article-title: Functional corticostriatal connection topographies predict goal directed behaviour in humans
  publication-title: Nat. Hum. Behav.
– ident: CR50
– volume: 95
  start-page: 791
  year: 2017
  end-page: 807.e7
  ident: CR70
  article-title: Precision functional mapping of individual human brains
  publication-title: Neuron
– volume: 98
  start-page: 439
  year: 2018
  end-page: 452.e5
  ident: CR76
  article-title: Functional brain networks are dominated by stable group and individual factors, not cognitive or daily variation
  publication-title: Neuron
– volume: 24
  start-page: 663
  year: 2014
  end-page: 676
  ident: CR35
  article-title: Tracking whole-brain connectivity dynamics in the resting state
  publication-title: Cereb. Cortex
– volume: 6
  year: 2015
  ident: CR67
  article-title: Long-term neural and physiological phenotyping of a single human
  publication-title: Nat. Commun.
– volume: 10
  start-page: 483
  year: 2013
  end-page: 490
  ident: CR48
  article-title: From the connectome to brain function
  publication-title: Nat. Methods
– volume: 82
  start-page: 208
  year: 2013
  end-page: 225
  ident: CR82
  article-title: The nuisance of nuisance regression: spectral misspecification in a common approach to resting-state fMRI preprocessing reintroduces noise and obscures functional connectivity
  publication-title: Neuroimage
– volume: 20
  start-page: 327
  year: 2017
  end-page: 339
  ident: CR89
  article-title: Magnetoencephalography for brain electrophysiology and imaging
  publication-title: Nat. Neurosci.
– volume: 202
  start-page: 115990
  year: 2019
  ident: CR51
  article-title: The community structure of functional brain networks exhibits scale-specific patterns of inter- and intra-subject variability
  publication-title: Neuroimage
– volume: 80
  start-page: 144
  year: 2013
  end-page: 168
  ident: CR9
  article-title: Resting-state fMRI in the Human Connectome Project
  publication-title: Neuroimage
– volume: 203
  start-page: 116157
  year: 2019
  ident: CR102
  article-title: A decade of test-retest reliability of functional connectivity: a systematic review and meta-analysis
  publication-title: Neuroimage
– volume: 159
  start-page: 57
  year: 2017
  end-page: 69
  ident: CR39
  article-title: Investigations into within- and between-subject resting-state amplitude variations
  publication-title: Neuroimage
– volume: 22
  start-page: 101796
  year: 2019
  ident: CR111
  article-title: Evaluating the evidence for biotypes of depression: methodological replication and extension of Drysdale et al. (2017)
  publication-title: Neuroimage Clin.
– volume: 26
  start-page: 288
  year: 2016
  end-page: 303
  ident: CR21
  article-title: Generation and evaluation of a cortical area parcellation from resting-state correlations
  publication-title: Cereb. Cortex
– volume: 2
  start-page: 25
  year: 2012
  end-page: 32
  ident: CR108
  article-title: Trouble at rest: how correlation patterns and group differences become distorted after global signal regression
  publication-title: Brain Connect.
– ident: CR2
– volume: 291
  start-page: 61
  year: 2017
  end-page: 68
  ident: CR54
  article-title: Comparing brain graphs in which nodes are regions of interest or independent components: A simulation study
  publication-title: J. Neurosci. Methods
– volume: 107
  start-page: 10238
  year: 2010
  end-page: 10243
  ident: CR91
  article-title: Neural basis of global resting-state fMRI activity
  publication-title: Proc. Natl. Acad. Sci. USA
– volume: 32
  start-page: 926
  year: 2019
  end-page: 942
  ident: CR12
  article-title: Towards a universal taxonomy of macro-scale functional human brain networks
  publication-title: Brain Topogr.
– volume: 9
  year: 2018
  ident: CR36
  article-title: Spontaneous cortical activity transiently organises into frequency specific phase-coupling networks
  publication-title: Nat. Commun.
– volume: 22
  start-page: 21
  year: 2018
  end-page: 31
  ident: CR43
  article-title: Large-scale gradients in human cortical organization
  publication-title: Trends Cogn. Sci.
– volume: 38
  start-page: 4230
  year: 2018
  end-page: 4242
  ident: CR88
  article-title: Intracranial electrophysiology reveals reproducible intrinsic functional connectivity within human brain networks
  publication-title: J. Neurosci.
– volume: 63
  start-page: 1144
  year: 2010
  end-page: 1153
  ident: CR53
  article-title: Multiband multislice GE-EPI at 7 tesla, with 16-fold acceleration using partial parallel imaging with application to high spatial and temporal whole-brain fMRI
  publication-title: Magn. Reson. Med.
– volume: 222
  start-page: 117226
  year: 2020
  ident: CR71
  article-title: Modelling subject variability in the spatial and temporal characteristics of functional modes
  publication-title: NeuroImage
– volume: 113
  start-page: 7900
  year: 2016
  end-page: 7905
  ident: CR113
  article-title: Cluster failure: why fMRI inferences for spatial extent have inflated false-positive rates
  publication-title: Proc. Natl. Acad. Sci. USA
– volume: 160
  start-page: 41
  year: 2017
  end-page: 54
  ident: CR34
  article-title: The dynamic functional connectome: state-of-the-art and perspectives
  publication-title: Neuroimage
– volume: 175
  start-page: 340
  year: 2018
  end-page: 353
  ident: CR100
  article-title: Directed functional connectivity using dynamic graphical models
  publication-title: Neuroimage
– volume: 33
  start-page: 1914
  year: 2012
  end-page: 1928
  ident: CR20
  article-title: A whole brain fMRI atlas generated via spatially constrained spectral clustering
  publication-title: Hum. Brain Mapp.
– volume: 11
  start-page: 115
  year: 2017
  ident: CR32
  article-title: Using dual regression to investigate network shape and amplitude in functional connectivity analyses
  publication-title: Front. Neurosci.
– volume: 116
  start-page: 22851
  year: 2019
  end-page: 22861
  ident: CR68
  article-title: Trait-like variants in human functional brain networks
  publication-title: Proc. Natl. Acad. Sci. USA
– volume: 154
  start-page: 174
  year: 2017
  end-page: 187
  ident: CR79
  article-title: Benchmarking of participant-level confound regression strategies for the control of motion artifact in studies of functional connectivity
  publication-title: Neuroimage
– volume: 360
  start-page: 1001
  year: 2005
  end-page: 1013
  ident: CR23
  article-title: Investigations into resting-state connectivity using independent component analysis
  publication-title: Phil. Trans. R. Soc. Lond. B
– volume: 22
  start-page: 562
  year: 2011
  end-page: 573
  ident: CR25
  article-title: Multi-subject dictionary learning to segment an atlas of brain spontaneous activity
  publication-title: Inf. Process. Med. Imaging
– volume: 180
  start-page: 594
  year: 2018
  end-page: 608
  ident: CR96
  article-title: Dynamic effective connectivity in resting state fMRI
  publication-title: Neuroimage
– volume: 7
  start-page: e32992
  year: 2018
  ident: CR62
  article-title: The relationship between spatial configuration and functional connectivity of brain regions
  publication-title: eLife
– volume: 18
  start-page: 115
  year: 2017
  end-page: 126
  ident: CR115
  article-title: Scanning the horizon: towards transparent and reproducible neuroimaging research
  publication-title: Nat. Rev. Neurosci.
– volume: 54
  start-page: 875
  year: 2011
  end-page: 891
  ident: CR58
  article-title: Network modelling methods for FMRI
  publication-title: Neuroimage
– volume: 82
  start-page: 403
  year: 2013
  end-page: 415
  ident: CR19
  article-title: Groupwise whole-brain parcellation from resting-state fMRI data for network node identification
  publication-title: Neuroimage
– volume: 208
  start-page: 116366
  year: 2020
  ident: CR77
  article-title: There is no single functional atlas even for a single individual: Functional parcel definitions change with task
  publication-title: Neuroimage
– volume: 40
  start-page: 407
  year: 2019
  end-page: 419
  ident: CR101
  article-title: Spatial parcellations, spectral filtering, and connectivity measures in fMRI: Optimizing for discrimination
  publication-title: Hum. Brain Mapp.
– volume: 213
  start-page: 116707
  year: 2020
  ident: 726_CR78
  publication-title: NeuroImage
  doi: 10.1016/j.neuroimage.2020.116707
– volume: 26
  start-page: 346
  year: 2016
  ident: 726_CR90
  publication-title: Cereb. Cortex
  doi: 10.1093/cercor/bhu260
– volume: 17
  start-page: 666
  year: 2013
  ident: 726_CR28
  publication-title: Trends Cogn. Sci.
  doi: 10.1016/j.tics.2013.09.016
– volume: 105
  start-page: 286
  year: 2015
  ident: 726_CR26
  publication-title: Neuroimage
  doi: 10.1016/j.neuroimage.2014.09.058
– volume: 22
  start-page: 21
  year: 2018
  ident: 726_CR43
  publication-title: Trends Cogn. Sci.
  doi: 10.1016/j.tics.2017.11.002
– volume: 59
  start-page: 4141
  year: 2012
  ident: 726_CR59
  publication-title: Neuroimage
  doi: 10.1016/j.neuroimage.2011.10.010
– volume: 25
  start-page: 1325
  year: 2005
  ident: 726_CR16
  publication-title: Neuroimage
  doi: 10.1016/j.neuroimage.2004.12.034
– volume: 36
  start-page: 4771
  year: 2015
  ident: 726_CR11
  publication-title: Hum. Brain Mapp.
  doi: 10.1002/hbm.22933
– volume: 14
  start-page: e0213861
  year: 2019
  ident: 726_CR74
  publication-title: PLoS One
  doi: 10.1371/journal.pone.0213861
– volume: 170
  start-page: 332
  year: 2018
  ident: 726_CR13
  publication-title: Neuroimage
  doi: 10.1016/j.neuroimage.2017.02.018
– volume: 14
  start-page: 111
  year: 2013
  ident: 726_CR98
  publication-title: J. Mach. Learn. Res.
– volume: 2
  start-page: 25
  year: 2012
  ident: 726_CR108
  publication-title: Brain Connect.
  doi: 10.1089/brain.2012.0080
– volume: 39
  start-page: 4213
  year: 2018
  ident: 726_CR106
  publication-title: Hum. Brain Mapp.
  doi: 10.1002/hbm.24241
– volume: 109
  start-page: 217
  year: 2015
  ident: 726_CR24
  publication-title: Neuroimage
  doi: 10.1016/j.neuroimage.2015.01.013
– volume: 107
  start-page: 10238
  year: 2010
  ident: 726_CR91
  publication-title: Proc. Natl. Acad. Sci. USA
  doi: 10.1073/pnas.0913110107
– volume: 2
  start-page: 56
  year: 1994
  ident: 726_CR27
  publication-title: Hum. Brain Mapp.
  doi: 10.1002/hbm.460020107
– ident: 726_CR2
– volume: 19
  start-page: 1523
  year: 2016
  ident: 726_CR38
  publication-title: Nat. Neurosci.
  doi: 10.1038/nn.4393
– volume: 181
  start-page: 692
  year: 2018
  ident: 726_CR110
  publication-title: Neuroimage
  doi: 10.1016/j.neuroimage.2018.04.076
– volume: 116
  start-page: 22851
  year: 2019
  ident: 726_CR68
  publication-title: Proc. Natl. Acad. Sci. USA
  doi: 10.1073/pnas.1902932116
– volume: 19
  start-page: 672
  year: 2018
  ident: 726_CR5
  publication-title: Nat. Rev. Neurosci.
  doi: 10.1038/s41583-018-0071-7
– volume: 82
  start-page: 208
  year: 2013
  ident: 726_CR82
  publication-title: Neuroimage
  doi: 10.1016/j.neuroimage.2013.05.116
– volume: 26
  start-page: 288
  year: 2016
  ident: 726_CR21
  publication-title: Cereb. Cortex
  doi: 10.1093/cercor/bhu239
– volume: 159
  start-page: 57
  year: 2017
  ident: 726_CR39
  publication-title: Neuroimage
  doi: 10.1016/j.neuroimage.2017.07.014
– volume: 352
  start-page: 216
  year: 2016
  ident: 726_CR63
  publication-title: Science
  doi: 10.1126/science.aad8127
– volume: 106
  start-page: 13040
  year: 2009
  ident: 726_CR83
  publication-title: Proc. Natl. Acad. Sci. USA
  doi: 10.1073/pnas.0905267106
– volume: 18
  start-page: 1565
  year: 2015
  ident: 726_CR31
  publication-title: Nat. Neurosci.
  doi: 10.1038/nn.4125
– volume: 27
  start-page: 1471
  year: 2015
  ident: 726_CR95
  publication-title: J. Cogn. Neurosci.
  doi: 10.1162/jocn_a_00810
– volume: 14
  start-page: e1006120
  year: 2018
  ident: 726_CR73
  publication-title: PLOS Comput. Biol.
  doi: 10.1371/journal.pcbi.1006120
– volume: 360
  start-page: 1001
  year: 2005
  ident: 726_CR23
  publication-title: Phil. Trans. R. Soc. Lond. B
  doi: 10.1098/rstb.2005.1634
– volume: 170
  start-page: 5
  year: 2018
  ident: 726_CR114
  publication-title: Neuroimage
  doi: 10.1016/j.neuroimage.2017.04.014
– volume: 202
  start-page: 115990
  year: 2019
  ident: 726_CR51
  publication-title: Neuroimage
  doi: 10.1016/j.neuroimage.2019.07.003
– volume: 38
  start-page: 4230
  year: 2018
  ident: 726_CR88
  publication-title: J. Neurosci.
  doi: 10.1523/JNEUROSCI.0217-18.2018
– volume: 22
  start-page: 1751
  year: 2019
  ident: 726_CR3
  publication-title: Nat. Neurosci.
  doi: 10.1038/s41593-019-0510-4
– volume: 60
  start-page: 189
  year: 2012
  ident: 726_CR56
  publication-title: Neuroimage
  doi: 10.1016/j.neuroimage.2011.12.053
– volume: 6
  start-page: 669
  year: 2016
  ident: 726_CR103
  publication-title: Brain Connect.
  doi: 10.1089/brain.2016.0435
– volume: 291
  start-page: 61
  year: 2017
  ident: 726_CR54
  publication-title: J. Neurosci. Methods
  doi: 10.1016/j.jneumeth.2017.08.007
– volume: 453
  start-page: 869
  year: 2008
  ident: 726_CR52
  publication-title: Nature
  doi: 10.1038/nature06976
– volume: 157
  start-page: 521
  year: 2017
  ident: 726_CR72
  publication-title: Neuroimage
  doi: 10.1016/j.neuroimage.2017.06.027
– volume: 208
  start-page: 116366
  year: 2020
  ident: 726_CR77
  publication-title: Neuroimage
  doi: 10.1016/j.neuroimage.2019.116366
– volume: 23
  start-page: 183
  year: 2011
  ident: 726_CR85
  publication-title: Neural Comput.
  doi: 10.1162/NECO_a_00065
– volume: 29
  start-page: 751
  year: 2008
  ident: 726_CR87
  publication-title: Hum. Brain Mapp.
  doi: 10.1002/hbm.20580
– volume: 54
  start-page: 875
  year: 2011
  ident: 726_CR58
  publication-title: Neuroimage
  doi: 10.1016/j.neuroimage.2010.08.063
– volume: 21
  start-page: 911
  year: 2017
  ident: 726_CR81
  publication-title: Trends Cogn. Sci.
  doi: 10.1016/j.tics.2017.09.002
– volume: 154
  start-page: 169
  year: 2017
  ident: 726_CR80
  publication-title: Neuroimage
  doi: 10.1016/j.neuroimage.2016.11.052
– volume: 99
  start-page: 640
  year: 2018
  ident: 726_CR1
  publication-title: Neuron
  doi: 10.1016/j.neuron.2018.07.002
– volume: 34
  start-page: 537
  year: 1995
  ident: 726_CR94
  publication-title: Magn. Reson. Med.
  doi: 10.1002/mrm.1910340409
– volume: 100
  start-page: 414
  year: 2014
  ident: 726_CR65
  publication-title: Neuroimage
  doi: 10.1016/j.neuroimage.2014.05.069
– volume: 1
  start-page: 0146
  year: 2017
  ident: 726_CR44
  publication-title: Nat. Hum. Behav.
  doi: 10.1038/s41562-017-0146
– volume: 211
  start-page: 116604
  year: 2020
  ident: 726_CR57
  publication-title: NeuroImage
  doi: 10.1016/j.neuroimage.2020.116604
– volume: 113
  start-page: 12574
  year: 2016
  ident: 726_CR45
  publication-title: Proc. Natl. Acad. Sci. USA
  doi: 10.1073/pnas.1608282113
– volume: 95
  start-page: 791
  year: 2017
  ident: 726_CR70
  publication-title: Neuron
  doi: 10.1016/j.neuron.2017.07.011
– volume: 146
  start-page: 609
  year: 2017
  ident: 726_CR107
  publication-title: Neuroimage
  doi: 10.1016/j.neuroimage.2016.09.038
– volume: 95
  start-page: 457
  year: 2017
  ident: 726_CR66
  publication-title: Neuron
  doi: 10.1016/j.neuron.2017.06.038
– volume: 32
  start-page: 926
  year: 2019
  ident: 726_CR12
  publication-title: Brain Topogr.
  doi: 10.1007/s10548-019-00744-6
– volume: 192
  start-page: 115
  year: 2019
  ident: 726_CR17
  publication-title: Neuroimage
  doi: 10.1016/j.neuroimage.2019.02.062
– volume: 9
  year: 2018
  ident: 726_CR36
  publication-title: Nat. Commun.
  doi: 10.1038/s41467-018-05316-z
– volume: 412
  start-page: 150
  year: 2001
  ident: 726_CR86
  publication-title: Nature
  doi: 10.1038/35084005
– volume: 160
  start-page: 41
  year: 2017
  ident: 726_CR34
  publication-title: Neuroimage
  doi: 10.1016/j.neuroimage.2016.12.061
– volume: 23
  start-page: 207
  year: 2013
  ident: 726_CR49
  publication-title: Curr. Opin. Neurobiol.
  doi: 10.1016/j.conb.2012.12.004
– volume: 222
  start-page: 117226
  year: 2020
  ident: 726_CR71
  publication-title: NeuroImage
  doi: 10.1016/j.neuroimage.2020.117226
– volume: 86
  start-page: 573
  year: 2014
  ident: 726_CR99
  publication-title: Neuroimage
  doi: 10.1016/j.neuroimage.2013.10.020
– volume: 80
  start-page: 144
  year: 2013
  ident: 726_CR9
  publication-title: Neuroimage
  doi: 10.1016/j.neuroimage.2013.05.039
– volume: 11
  start-page: 115
  year: 2017
  ident: 726_CR32
  publication-title: Front. Neurosci.
  doi: 10.3389/fnins.2017.00115
– volume: 80
  start-page: 105
  year: 2013
  ident: 726_CR104
  publication-title: Neuroimage
  doi: 10.1016/j.neuroimage.2013.04.127
– volume: 24
  start-page: 479
  year: 2019
  ident: 726_CR6
  publication-title: Mol. Psychiatry
  doi: 10.1038/s41380-018-0063-z
– volume: 80
  start-page: 360
  year: 2013
  ident: 726_CR33
  publication-title: Neuroimage
  doi: 10.1016/j.neuroimage.2013.05.079
– ident: 726_CR50
  doi: 10.1101/2020.01.08.899583
– volume: 180
  start-page: 646
  year: 2018
  ident: 726_CR92
  publication-title: Neuroimage
  doi: 10.1016/j.neuroimage.2017.06.077
– volume: 7
  start-page: e32992
  year: 2018
  ident: 726_CR62
  publication-title: eLife
  doi: 10.7554/eLife.32992
– volume: 8
  start-page: e44890
  year: 2019
  ident: 726_CR40
  publication-title: eLife
  doi: 10.7554/eLife.44890
– volume: 98
  start-page: 439
  year: 2018
  ident: 726_CR76
  publication-title: Neuron
  doi: 10.1016/j.neuron.2018.03.035
– volume: 15
  start-page: 273
  year: 2002
  ident: 726_CR14
  publication-title: Neuroimage
  doi: 10.1006/nimg.2001.0978
– volume: 44
  start-page: 162
  year: 2000
  ident: 726_CR109
  publication-title: Magn. Reson. Med.
  doi: 10.1002/1522-2594(200007)44:1<162::AID-MRM23>3.0.CO;2-E
– volume: 154
  start-page: 174
  year: 2017
  ident: 726_CR79
  publication-title: Neuroimage
  doi: 10.1016/j.neuroimage.2017.03.020
– volume: 82
  start-page: 403
  year: 2013
  ident: 726_CR19
  publication-title: Neuroimage
  doi: 10.1016/j.neuroimage.2013.05.081
– volume: 20
  start-page: 327
  year: 2017
  ident: 726_CR89
  publication-title: Nat. Neurosci.
  doi: 10.1038/nn.4504
– volume: 203
  start-page: 116157
  year: 2019
  ident: 726_CR102
  publication-title: Neuroimage
  doi: 10.1016/j.neuroimage.2019.116157
– volume: 31
  start-page: 968
  year: 2006
  ident: 726_CR15
  publication-title: Neuroimage
  doi: 10.1016/j.neuroimage.2006.01.021
– volume: 180
  start-page: 594
  year: 2018
  ident: 726_CR96
  publication-title: Neuroimage
  doi: 10.1016/j.neuroimage.2017.11.033
– volume: 29
  start-page: 2533
  year: 2019
  ident: 726_CR41
  publication-title: Cereb. Cortex
  doi: 10.1093/cercor/bhy123
– volume: 20
  start-page: 365
  year: 2017
  ident: 726_CR47
  publication-title: Nat. Neurosci.
  doi: 10.1038/nn.4478
– volume: 4
  start-page: e1000092
  year: 2008
  ident: 726_CR84
  publication-title: PLOS Comput. Biol.
  doi: 10.1371/journal.pcbi.1000092
– volume: 33
  start-page: 1914
  year: 2012
  ident: 726_CR20
  publication-title: Hum. Brain Mapp.
  doi: 10.1002/hbm.21333
– volume: 77
  start-page: 534
  year: 2020
  ident: 726_CR7
  publication-title: JAMA Psychiatry
  doi: 10.1001/jamapsychiatry.2019.3671
– volume: 22
  start-page: 562
  year: 2011
  ident: 726_CR25
  publication-title: Inf. Process. Med. Imaging
– volume: 18
  start-page: 1664
  year: 2015
  ident: 726_CR30
  publication-title: Nat. Neurosci.
  doi: 10.1038/nn.4135
– volume: 113
  start-page: 7900
  year: 2016
  ident: 726_CR113
  publication-title: Proc. Natl. Acad. Sci. USA
  doi: 10.1073/pnas.1602413113
– volume: 6
  start-page: 370
  year: 1983
  ident: 726_CR93
  publication-title: Trends Neurosci.
  doi: 10.1016/0166-2236(83)90167-4
– volume: 22
  start-page: 101796
  year: 2019
  ident: 726_CR111
  publication-title: Neuroimage Clin.
  doi: 10.1016/j.nicl.2019.101796
– volume: 147
  start-page: 736
  year: 2017
  ident: 726_CR55
  publication-title: Neuroimage
  doi: 10.1016/j.neuroimage.2016.10.045
– volume: 536
  start-page: 171
  year: 2016
  ident: 726_CR10
  publication-title: Nature
  doi: 10.1038/nature18933
– volume: 175
  start-page: 340
  year: 2018
  ident: 726_CR100
  publication-title: Neuroimage
  doi: 10.1016/j.neuroimage.2018.03.074
– volume: 54
  start-page: 1140
  year: 2011
  ident: 726_CR46
  publication-title: Neuroimage
  doi: 10.1016/j.neuroimage.2010.08.030
– volume: 39
  start-page: 6136
  year: 2019
  ident: 726_CR61
  publication-title: J. Neurosci.
  doi: 10.1523/JNEUROSCI.2912-18.2019
– volume: 28
  start-page: 3095
  year: 2018
  ident: 726_CR18
  publication-title: Cereb. Cortex
  doi: 10.1093/cercor/bhx179
– volume: 115
  start-page: E6356
  year: 2018
  ident: 726_CR64
  publication-title: Proc. Natl. Acad. Sci. USA
  doi: 10.1073/pnas.1801582115
– volume: 16
  start-page: 111
  year: 2019
  ident: 726_CR105
  publication-title: Nat. Methods
  doi: 10.1038/s41592-018-0235-4
– volume: 582
  start-page: 84
  year: 2020
  ident: 726_CR4
  publication-title: Nature
  doi: 10.1038/s41586-020-2314-9
– volume: 160
  start-page: 73
  year: 2017
  ident: 726_CR29
  publication-title: Neuroimage
  doi: 10.1016/j.neuroimage.2016.11.006
– volume: 173
  start-page: 540
  year: 2018
  ident: 726_CR42
  publication-title: Neuroimage
  doi: 10.1016/j.neuroimage.2018.01.053
– volume: 63
  start-page: 1144
  year: 2010
  ident: 726_CR53
  publication-title: Magn. Reson. Med.
  doi: 10.1002/mrm.22361
– volume: 189
  start-page: 676
  year: 2019
  ident: 726_CR75
  publication-title: Neuroimage
  doi: 10.1016/j.neuroimage.2019.02.002
– volume: 10
  start-page: 483
  year: 2013
  ident: 726_CR48
  publication-title: Nat. Methods
  doi: 10.1038/nmeth.2451
– volume: 24
  start-page: 663
  year: 2014
  ident: 726_CR35
  publication-title: Cereb. Cortex
  doi: 10.1093/cercor/bhs352
– volume: 82
  start-page: 616
  year: 2013
  ident: 726_CR69
  publication-title: Neuroimage
  doi: 10.1016/j.neuroimage.2013.05.108
– volume: 18
  start-page: 115
  year: 2017
  ident: 726_CR115
  publication-title: Nat. Rev. Neurosci.
  doi: 10.1038/nrn.2016.167
– volume: 145
  start-page: 166
  year: 2017
  ident: 726_CR112
  publication-title: Neuroimage
  doi: 10.1016/j.neuroimage.2016.10.038
– volume: 40
  start-page: 407
  year: 2019
  ident: 726_CR101
  publication-title: Hum. Brain Mapp.
  doi: 10.1002/hbm.24381
– volume: 106
  start-page: 1125
  year: 2011
  ident: 726_CR22
  publication-title: J. Neurophysiol.
  doi: 10.1152/jn.00338.2011
– volume: 6
  year: 2015
  ident: 726_CR67
  publication-title: Nat. Commun.
  doi: 10.1038/ncomms9885
– volume: 172
  start-page: 137
  year: 2008
  ident: 726_CR37
  publication-title: J. Neurosci. Methods
  doi: 10.1016/j.jneumeth.2008.04.012
– volume: 8
  start-page: e44443
  year: 2019
  ident: 726_CR60
  publication-title: eLife
  doi: 10.7554/eLife.44443
– volume: 27
  start-page: 267
  year: 2006
  ident: 726_CR97
  publication-title: Hum. Brain Mapp.
  doi: 10.1002/hbm.20182
– volume: 220
  start-page: 149
  year: 2013
  ident: 726_CR8
  publication-title: J. Neurosci. Methods
  doi: 10.1016/j.jneumeth.2013.04.010
SSID ssj0007589
Score 2.6066282
SecondaryResourceType review_article
Snippet A key principle of brain organization is the functional integration of brain regions into interconnected networks. Functional MRI scans acquired at rest offer...
SourceID proquest
gale
pubmed
crossref
springer
SourceType Aggregation Database
Index Database
Enrichment Source
Publisher
StartPage 1484
SubjectTerms 59
59/36
631/1647/245/1627
631/378
692/53
Animal Genetics and Genomics
Animals
Behavioral Sciences
Biological Techniques
Biomedical and Life Sciences
Biomedicine
Brain
Brain - diagnostic imaging
Brain - physiology
Brain architecture
Brain Mapping
Brain research
Cognition
Fractionation
Functional integration
Functional magnetic resonance imaging
Functional morphology
Humans
Image Processing, Computer-Assisted - standards
Integration
Magnetic Resonance Imaging - methods
Medical imaging
Nerve Net - diagnostic imaging
Nerve Net - physiology
Neural circuitry
Neural networks
Neural Pathways
Neurobiology
Neurosciences
Observations
Representations
Reproducibility
Review Article
Time series
Title Challenges and future directions for representations of functional brain organization
URI https://link.springer.com/article/10.1038/s41593-020-00726-z
https://www.ncbi.nlm.nih.gov/pubmed/33106677
https://www.proquest.com/docview/2473218689
https://www.proquest.com/docview/2454655001
Volume 23
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwfV1Lb9QwEB5Be-GCKOURaCuDEBwgahJ7bedULVWrgkSFCivtzfIrvUDSNrsH-uvrcZxttxK9xuMktseeh2fmA_hARWWpLoJZwozNmfNNrgtqc6edxLwBbgvMHf5xyk9m7Pt8Mk8Otz6FVY5nYjyoXWfRR75fMUERP0nWBxeXOaJG4e1qgtB4DJtYugxDusR8ZXAFaRgh8PCSNQ96Pk9JMwWV-30QXBi5VmFetah4fr0mmO4fz3fk070L0yiHjp_B06RAkumw4lvwyLfPYXvaBuP57z_ykcSQzugr34bZ4QiV0hPdOjIUECGDGEN-I0FlJbGu5ZiDFJ51DUFpNzgJiUEMCdLdSdl8AbPjo9-HJ3nCUcgtE3yRS0-1FJpK66Vx3BWlqUtq3cQ6XRa-4poZowvpa9FYwxiWnXNhxerCMEtNSV_CRtu1_jWQsmGlDdZ0VTac-cJL1gRrPChR1oed7HQG5TiJyqYi44h18UfFy24q1TDxKky8ihOvrjP4vOpzMZTYeJD6Pa6NwtoVLQbHnOtl36tvv87UFLVNISe8zuBTImq68HmrU65BGASWu1qj3FmjDJvLrjePLKDS5u7VLStm8G7VjD0xYK313RJpEGV-EpSADF4NrLMaHA0qNedCZPBl5KXbl_9_5G8e_pe38KRCdo6hNjuwsbha-t2gMC3MXtwVe7D59ej059kNcV0SHQ
linkProvider ProQuest
linkToHtml http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtR3LbtQwcFS2B7ggoDwCBQzicaBRk9jrOAeEltJqlz6ESlfqzTi2wwWSQnaF2o_iG5nJY9utRG-9xmPHHo_nYc8D4BVPE8tNhGaJyG0onC9CE3EbOuMUxQ1IG1Hs8P6BHE_F5-Ph8Qr87WNhyK2y54kNo3aVpTvyzUSknOonqezDya-QqkbR62pfQqMli11_-gdNtvr95BPu7-sk2dk-2hqHXVWB0IpUzkLluVGp4cp6lTvpojjPYm7d0DoTRz6RRuS5iZTP0sLmQlASNofzz6JcWJ7HHMe9AauCoykzgNWP2wdfDhe8H7XvrHlfzdIQLQvZhelEXG3WKCrJVy6hSO40keHZkii8LBAuSMRLT7SN5Nu5A7c7lZWNWhq7Cyu-vAdroxLN9Z-n7A1rnEib2_k1mG71xVlqZkrH2pQlrBWcROEMlWTWZNLso57wW1Uwkq_ttSTLqWoFqy4Eid6H6bXg-AEMyqr0j4DFhYgt2u9JXEjhI69EgfY_qm3WI-9wJoC4R6K2XVpzqq7xQzfP61zpFvEaEa8bxOuzAN4t-py0ST2uhH5Je6MpW0ZJ7jjfzbyu9eTroR6RfpuqocwCeNsBFRX-3pouugEXQQm2liDXlyDxONvl5p4EdMdOan1O_AG8WDRTT3KRK301Jxiqaz9EtSOAhy3pLBbHUYmXMk0D2Ohp6Xzw_6_88dVzeQ43x0f7e3pvcrD7BG4lRNqNo886DGa_5_4pqmuz_Fl3Rhh8u-5j-Q9wUE-8
linkToPdf http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1Lb9QwEB6VIiEuCCiPQAGDeBxotEns2M4BoVXLqkuhQsBKezN-hQskhewKtT-NX4cnj223Er31moyTeDLjmbFn5gN4TkVmqU5CWMKMjZnzZawTamOnncS6AW4TrB3-eMj3Z-z9PJ9vwN-hFgbTKoc1sV2oXW1xj3yUMUERP0kWo7JPi_i0N3l79CtGBCk8aR3gNDoROfDHf0L41ryZ7oV__SLLJu--7u7HPcJAbJngi1h6qqXQVFovjeMuSU2RUuty63Sa-IxrZoxOpC9EaQ1j2JDNhbkUiWGWmpSG516Bq4LmKeqYmK-CvWCJW_g9POCNQ4zB-4KdhMpRE4wmZs1lWNMtMh6frBnF86bhjG08d1jb2sDJTbjRO69k3EnbLdjw1W3YGlchcP95TF6SNp203affgtnuANPSEF050jUvIZ0JRVknwV0mbU_Nof4pXKtLgpa226AkBvErSH2mXPQOzC6Fw3dhs6orfx9IWrLUhkg-S0vOfOIlK73BCMj6sIo4HUE6MFHZvsE54mz8UO1BO5WqY7wKjFct49VJBK9XY4669h4XUj_Df6Owb0aFEvhdL5tGTb98VmP0dIXMeRHBq56orMPrre7rHMIksNXWGuX2GmVQbLt-exAB1S8sjTpVgwierm7jSEyWq3y9RBpEuM-DAxLBvU50VpOjwZ3nXIgIdgZZOn34_2f-4OJveQLXgjKqD9PDg4dwPUPJbjN-tmFz8XvpHwW_bWEetwpC4Ntla-Q_eR9SjA
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=Challenges+and+future+directions+for+representations+of+functional+brain+organization&rft.jtitle=Nature+neuroscience&rft.au=Bijsterbosch%2C+Janine&rft.au=Harrison%2C+Samuel+J.&rft.au=Jbabdi%2C+Saad&rft.au=Woolrich%2C+Mark&rft.date=2020-12-01&rft.issn=1097-6256&rft.eissn=1546-1726&rft.volume=23&rft.issue=12&rft.spage=1484&rft.epage=1495&rft_id=info:doi/10.1038%2Fs41593-020-00726-z&rft.externalDBID=n%2Fa&rft.externalDocID=10_1038_s41593_020_00726_z
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1097-6256&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1097-6256&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1097-6256&client=summon