Ultrafast method for mapping local functional connectivity hubs in the human brain
Brain networks with energy-efficient hubs might support the high cognitive performance of humans and a better understanding of their organization is of relevance not only for studying normal brain development and plasticity but also neuropsychiatric disorders. Here we propose an ultra-fast method to...
Saved in:
Published in | 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Vol. 2010; pp. 4274 - 4277 |
---|---|
Main Authors | , |
Format | Conference Proceeding Journal Article |
Language | English |
Published |
United States
IEEE
01.01.2010
|
Subjects | |
Online Access | Get full text |
ISBN | 1424441234 9781424441235 |
ISSN | 1094-687X 2375-7477 1557-170X |
DOI | 10.1109/IEMBS.2010.5626180 |
Cover
Abstract | Brain networks with energy-efficient hubs might support the high cognitive performance of humans and a better understanding of their organization is of relevance not only for studying normal brain development and plasticity but also neuropsychiatric disorders. Here we propose an ultra-fast method to map the distribution of the functional connectivity density (FCD) in the human brain. The method was tested in 972 subjects from a large repository of magnetic resonance imaging (MRI) time series collected in resting conditions. Consistently across research sites, a region located in the ventral precuneus was the area with the highest FCD, which suggest that this is a prominent functional hub in the brain. In addition regions located in the paracentral lobule, cuneus, inferior parietal, and posterior cingulate cortices had localized high FCD, suggesting that these regions also include prominent functional connectivity hubs. |
---|---|
AbstractList | Brain networks with energy-efficient hubs might support the high cognitive performance of humans and a better understanding of their organization is of relevance not only for studying normal brain development and plasticity but also neuropsychiatric disorders. Here we propose an ultra-fast method to map the distribution of the functional connectivity density (FCD) in the human brain. The method was tested in 972 subjects from a large repository of magnetic resonance imaging (MRI) time series collected in resting conditions. Consistently across research sites, a region located in the ventral precuneus was the area with the highest FCD, which suggest that this is a prominent functional hub in the brain. In addition regions located in the paracentral lobule, cuneus, inferior parietal, and posterior cingulate cortices had localized high FCD, suggesting that these regions also include prominent functional connectivity hubs. |
Author | Tomasi, D Volkow, N D |
Author_xml | – sequence: 1 givenname: D surname: Tomasi fullname: Tomasi, D email: tomasi@bnl.gov organization: Nat. Inst. of Alcohol Abuse & Alcoholism, Bethesda, MD, USA – sequence: 2 givenname: N D surname: Volkow fullname: Volkow, N D email: nvolkow@nida.nih.gov organization: Nat. Inst. of Alcohol Abuse & Alcoholism, Bethesda, MD, USA |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/21095749$$D View this record in MEDLINE/PubMed |
BookMark | eNpVUG1LwzAYjDhxL_oHFCR_oDNJ07T9IuiYOpgI6sBv5WmarpE2KW022L83sDn103PH3XNwN0YDY41C6IqSKaUkvV3MXx7ep4x4HgkmaEJO0JhyxjmnjLPTXxLyARr5Fx6IJP4conHffxHCCInoORoyr0QxT0fobVW7DkroHW6Uq2yBS9vhBtpWmzWurYQalxsjnbbGQ2mNUZ5stdvhapP3WBvsKuVxAwbnHWhzgc5KqHt1ebgTtHqcf8yeg-Xr02J2vww0D5kLWCQVcJaHnBSMxQQECWkpIkloCQJ4weI49yU5oSAp0EKmBAoRlUUqCHARTtDdPrfd5I0qpDK-SZ21nW6g22UWdPZfMbrK1nabhTThSUp9wM3fgOPnzzrecL03aKXUUT4sH34DjdZ2hA |
ContentType | Conference Proceeding Journal Article |
DBID | 6IE 6IH CBEJK RIE RIO CGR CUY CVF ECM EIF NPM 5PM |
DOI | 10.1109/IEMBS.2010.5626180 |
DatabaseName | IEEE Electronic Library (IEL) Conference Proceedings IEEE Proceedings Order Plan (POP) 1998-present by volume IEEE Xplore All Conference Proceedings IEEE Xplore IEEE Proceedings Order Plans (POP) 1998-present Medline MEDLINE MEDLINE (Ovid) MEDLINE MEDLINE PubMed PubMed Central (Full Participant titles) |
DatabaseTitle | MEDLINE Medline Complete MEDLINE with Full Text PubMed MEDLINE (Ovid) |
DatabaseTitleList | 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 – sequence: 3 dbid: RIE name: IEEE Xplore url: https://proxy.k.utb.cz/login?url=https://ieeexplore.ieee.org/ sourceTypes: Publisher |
DeliveryMethod | fulltext_linktorsrc |
Discipline | Engineering |
EISBN | 1424441242 9781424441242 |
EndPage | 4277 |
ExternalDocumentID | PMC3184891 21095749 5626180 |
Genre | orig-research Journal Article Research Support, N.I.H., Extramural |
GrantInformation_xml | – fundername: Intramural NIH HHS grantid: ZIA AA000550 – fundername: NIAAA NIH HHS grantid: 2R01AA09481 – fundername: NIAAA NIH HHS grantid: R01 AA009481 |
GroupedDBID | 6IE 6IF 6IH AAJGR ACGFS AFFNX ALMA_UNASSIGNED_HOLDINGS CBEJK M43 RIE RIO RNS CGR CUY CVF ECM EIF NPM 29G 5PM 6IK 6IM IPLJI |
ID | FETCH-LOGICAL-i432t-25cea42b340d2270a6031f65c01fa6a4d277b626401ac1a1dc90ad65fd960a463 |
IEDL.DBID | RIE |
ISBN | 1424441234 9781424441235 |
ISSN | 1094-687X 2375-7477 1557-170X |
IngestDate | Thu Aug 21 18:27:07 EDT 2025 Sat May 31 02:09:24 EDT 2025 Wed Aug 27 02:53:04 EDT 2025 |
IsDoiOpenAccess | false |
IsOpenAccess | true |
IsPeerReviewed | false |
IsScholarly | false |
Language | English |
LinkModel | DirectLink |
MergedId | FETCHMERGED-LOGICAL-i432t-25cea42b340d2270a6031f65c01fa6a4d277b626401ac1a1dc90ad65fd960a463 |
OpenAccessLink | https://zenodo.org/record/1272215 |
PMID | 21095749 |
PageCount | 4 |
ParticipantIDs | pubmedcentral_primary_oai_pubmedcentral_nih_gov_3184891 ieee_primary_5626180 pubmed_primary_21095749 |
PublicationCentury | 2000 |
PublicationDate | 2010-01-01 |
PublicationDateYYYYMMDD | 2010-01-01 |
PublicationDate_xml | – month: 01 year: 2010 text: 2010-01-01 day: 01 |
PublicationDecade | 2010 |
PublicationPlace | United States |
PublicationPlace_xml | – name: United States |
PublicationTitle | 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology |
PublicationTitleAbbrev | IEMBS |
PublicationTitleAlternate | Annu Int Conf IEEE Eng Med Biol Soc |
PublicationYear | 2010 |
Publisher | IEEE |
Publisher_xml | – name: IEEE |
SSID | ssj0020051 ssj0000452612 ssj0061641 |
Score | 1.5838891 |
Snippet | Brain networks with energy-efficient hubs might support the high cognitive performance of humans and a better understanding of their organization is of... |
SourceID | pubmedcentral pubmed ieee |
SourceType | Open Access Repository Index Database Publisher |
StartPage | 4274 |
SubjectTerms | Brain - physiology Cognition Correlation Fluctuations Humans Magnetic Resonance Imaging Organizations Principal Component Analysis Time series analysis |
Title | Ultrafast method for mapping local functional connectivity hubs in the human brain |
URI | https://ieeexplore.ieee.org/document/5626180 https://www.ncbi.nlm.nih.gov/pubmed/21095749 https://pubmed.ncbi.nlm.nih.gov/PMC3184891 |
Volume | 2010 |
hasFullText | 1 |
inHoldings | 1 |
isFullTextHit | |
isPrint | |
link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjV3NT8IwFH8BTnrxA1T8Sg8eHWxd121XDQRNIEQl4Ua6rhOiDqPj4l_va8smGA_etnRJ177ufe293w_gyvdS4btUOqgdhcOiJHKSTFHH92mEXxNFSevm5OGIDybsfhpMa3Bd9cIopUzxmeroS_MvP13KlU6VddFWcy_CAL2Ox8z2alX5FA0Nzn-go3SyxARbGL44PAqnZVMXQ1XNSqyn9X1QdtO4cfeuN7x5tCVf6-kMXjB6IqHG2zQULBvWaruScsM09fdgWC7KVqS8dFZF0pFfv_Ae_7vqfWj9NAGScWXeDqCm8kPY3cAvbMLD5BXfJxOfBbFM1ARdYPImNObDMzFmkmjDafONROqiGmnpKsgcNRZZ5AQdUGKIAkmi2SpaMOn3nm4HzpqkwVkwnxYODaQSjCY-c1NKQ1do2uqMB9L1MsEFS2kYJrgCjOOE9ISXytgVKQ-yFGMnwbh_BI18masTIBmejjjwFaXKYyKMo4xHsSd0ViZNhBe0oal3Z_ZucThm641pw7EVQjVQiqsN4ZZ4qgc0pvb2SL6YG2xtVHEMJz39e6oz2LHVAzoFcw6N4mOlLtApKZJLqI_Gw0tzJr8B5QzaPQ |
linkProvider | IEEE |
linkToHtml | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjV1LT8MwDLYmOAAX3jCeOXCkW5umaXsFgcZjCMEm7TalacomoEPQXfj1OEnbbYgDt1aplCZO_dmu_RngzPdS4btUOqgdhcOiJHKSTFHH92mEXxNFSevi5O4D7_TZ7SAYNOC8roVRSpnkM9XSl-ZffjqRUx0qayNWcy9CB30ZcZ8FtlqrjqhocnA-I4_S4RLjbqED4_AoHFRlXQyVNavYnsr7oKqnceP2zVX34tkmfZUTGsZgtEVCzbhpmrDM4dViLuUcOF2vQ7dals1JeW1Ni6Qlv38xPv533RuwMysDJI81wG1CQ-VbsDbHYLgNT_03fJ9MfBXE9qImaASTd6FZH16IAUqiodNGHInUaTXSNqwgI9RZZJwTNEGJaRVIEt2vYgf611e9y45TtmlwxsynhUMDqQSjic_clNLQFbpxdcYD6XqZ4IKlNAwTXAF6ckJ6wktl7IqUB1mK3pNg3N-FpXySq30gGZ6POPAVpcpjIoyjjEexJ3RcJk2EFzRhW-_O8MMycQzLjWnCnhVCPVCJqwnhgnjqBzSr9uJIPh4Zdm1UcgwnPfh7qlNY6fS698P7m4e7Q1i1uQQ6IHMES8XnVB2jiVIkJ-Zk_gBY29x- |
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%3Abook&rft.genre=proceeding&rft.title=2010+Annual+International+Conference+of+the+IEEE+Engineering+in+Medicine+and+Biology&rft.atitle=Ultrafast+method+for+mapping+local+functional+connectivity+hubs+in+the+human+brain&rft.au=Tomasi%2C+D&rft.au=Volkow%2C+N+D&rft.date=2010-01-01&rft.pub=IEEE&rft.isbn=9781424441235&rft.issn=1094-687X&rft.spage=4274&rft.epage=4277&rft_id=info:doi/10.1109%2FIEMBS.2010.5626180&rft_id=info%3Apmid%2F21095749&rft.externalDocID=5626180 |
thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1094-687X&client=summon |
thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1094-687X&client=summon |
thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1094-687X&client=summon |