guest ::
| Home > Publications database > Behavioral Interpretations of Intrinsic Connectivity Networks > print |
| Home > Publications database > Behavioral Interpretations of Intrinsic Connectivity Networks > print |
| 001 | 15664 | ||
| 005 | 20210129210627.0 | ||
| 024 | 7 | _ | |2 pmid |a pmid:21671731 |
| 024 | 7 | _ | |2 DOI |a 10.1162/jocn_a_00077 |
| 024 | 7 | _ | |2 WOS |a WOS:000296758500028 |
| 024 | 7 | _ | |a altmetric:2703302 |2 altmetric |
| 037 | _ | _ | |a PreJuSER-15664 |
| 041 | _ | _ | |a eng |
| 082 | _ | _ | |a 400 |
| 084 | _ | _ | |2 WoS |a Neurosciences |
| 084 | _ | _ | |2 WoS |a Psychology, Experimental |
| 100 | 1 | _ | |0 P:(DE-HGF)0 |a Laird, A.R. |b 0 |
| 245 | _ | _ | |a Behavioral Interpretations of Intrinsic Connectivity Networks |
| 260 | _ | _ | |a Cambridge, Mass. |b MIT Pr. Journals |c 2011 |
| 300 | _ | _ | |a 4022 - 4037 |
| 336 | 7 | _ | |0 PUB:(DE-HGF)16 |2 PUB:(DE-HGF) |a Journal Article |
| 336 | 7 | _ | |2 DataCite |a Output Types/Journal article |
| 336 | 7 | _ | |0 0 |2 EndNote |a Journal Article |
| 336 | 7 | _ | |2 BibTeX |a ARTICLE |
| 336 | 7 | _ | |2 ORCID |a JOURNAL_ARTICLE |
| 336 | 7 | _ | |2 DRIVER |a article |
| 440 | _ | 0 | |0 3191 |a Journal of Cognitive Neuroscience |v 23 |x 0898-929X |y 12 |
| 500 | _ | _ | |a This work was supported by NIMH grants R01-MH074457 (P. T. F. and A. R. L.) and R01-MH084812 (A. R. L. and J. A. T.) and the Helmholz Initiative on Systems-Biology (S. B. E.). |
| 520 | _ | _ | |a An increasingly large number of neuroimaging studies have investigated functionally connected networks during rest, providing insight into human brain architecture. Assessment of the functional qualities of resting state networks has been limited by the task-independent state, which results in an inability to relate these networks to specific mental functions. However, it was recently demonstrated that similar brain networks can be extracted from resting state data and data extracted from thousands of task-based neuroimaging experiments archived in the BrainMap database. Here, we present a full functional explication of these intrinsic connectivity networks at a standard low order decomposition using a neuroinformatics approach based on the BrainMap behavioral taxonomy as well as a stratified, data-driven ordering of cognitive processes. Our results serve as a resource for functional interpretations of brain networks in resting state studies and future investigations into mental operations and the tasks that drive them. |
| 536 | _ | _ | |0 G:(DE-Juel1)FUEK409 |2 G:(DE-HGF) |x 0 |c FUEK409 |a Funktion und Dysfunktion des Nervensystems (FUEK409) |
| 536 | _ | _ | |0 G:(DE-HGF)POF2-89571 |a 89571 - Connectivity and Activity (POF2-89571) |c POF2-89571 |f POF II T |x 1 |
| 588 | _ | _ | |a Dataset connected to Web of Science, Pubmed |
| 650 | _ | 2 | |2 MeSH |a Brain: physiology |
| 650 | _ | 2 | |2 MeSH |a Brain Mapping: methods |
| 650 | _ | 2 | |2 MeSH |a Classification: methods |
| 650 | _ | 2 | |2 MeSH |a Cluster Analysis |
| 650 | _ | 2 | |2 MeSH |a Databases, Factual |
| 650 | _ | 2 | |2 MeSH |a Humans |
| 650 | _ | 2 | |2 MeSH |a Nerve Net: physiology |
| 650 | _ | 2 | |2 MeSH |a Neural Pathways: physiology |
| 650 | _ | 2 | |2 MeSH |a Psychomotor Performance: physiology |
| 650 | _ | 7 | |2 WoSType |a J |
| 700 | 1 | _ | |0 P:(DE-HGF)0 |a Fox, P.M. |b 1 |
| 700 | 1 | _ | |0 P:(DE-Juel1)131678 |a Eickhoff, S.B. |b 2 |u FZJ |
| 700 | 1 | _ | |0 P:(DE-HGF)0 |a Turner, J.A. |b 3 |
| 700 | 1 | _ | |0 P:(DE-HGF)0 |a Ray, K.L. |b 4 |
| 700 | 1 | _ | |0 P:(DE-HGF)0 |a McKay, D.R. |b 5 |
| 700 | 1 | _ | |0 P:(DE-HGF)0 |a Glahn, D.C. |b 6 |
| 700 | 1 | _ | |0 P:(DE-HGF)0 |a Beckmann, C.F. |b 7 |
| 700 | 1 | _ | |0 P:(DE-HGF)0 |a Smith, S.M. |b 8 |
| 700 | 1 | _ | |0 P:(DE-HGF)0 |a Fox, P.T. |b 9 |
| 773 | _ | _ | |0 PERI:(DE-600)1475255-4 |a 10.1162/jocn_a_00077 |g Vol. 23, p. 4022 - 4037 |p 4022 - 4037 |q 23<4022 - 4037 |t Journal of cognitive neuroscience |v 23 |x 0898-929X |y 2011 |
| 856 | 7 | _ | |u http://dx.doi.org/10.1162/jocn_a_00077 |
| 909 | C | O | |o oai:juser.fz-juelich.de:15664 |p VDB |
| 913 | 2 | _ | |0 G:(DE-HGF)POF3-571 |1 G:(DE-HGF)POF3-570 |2 G:(DE-HGF)POF3-500 |a DE-HGF |b Key Technologies |l Decoding the Human Brain |v Connectivity and Activity |x 0 |
| 913 | 1 | _ | |0 G:(DE-HGF)POF2-89571 |a DE-HGF |v Connectivity and Activity |x 1 |4 G:(DE-HGF)POF |1 G:(DE-HGF)POF3-890 |3 G:(DE-HGF)POF3 |2 G:(DE-HGF)POF3-800 |b Programmungebundene Forschung |l ohne Programm |
| 914 | 1 | _ | |y 2011 |
| 915 | _ | _ | |0 StatID:(DE-HGF)0010 |a JCR/ISI refereed |
| 920 | 1 | _ | |0 I:(DE-Juel1)INM-2-20090406 |g INM |k INM-2 |l Molekulare Organisation des Gehirns |x 0 |
| 970 | _ | _ | |a VDB:(DE-Juel1)128826 |
| 980 | _ | _ | |a VDB |
| 980 | _ | _ | |a ConvertedRecord |
| 980 | _ | _ | |a journal |
| 980 | _ | _ | |a I:(DE-Juel1)INM-2-20090406 |
| 980 | _ | _ | |a UNRESTRICTED |
| Library | Collection | CLSMajor | CLSMinor | Language | Author |
|---|