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| Home > Publications database > Investigating the Functional Heterogeneity of the Default Mode Network Using Coordinate-Based Meta-Analytic Modeling > print |
| 001 | 7023 | ||
| 005 | 20180208211450.0 | ||
| 024 | 7 | _ | |2 pmid |a pmid:19923283 |
| 024 | 7 | _ | |2 pmc |a pmc:PMC2820256 |
| 024 | 7 | _ | |2 DOI |a 10.1523/JNEUROSCI.4004-09.2009 |
| 024 | 7 | _ | |2 WOS |a WOS:000271944500012 |
| 037 | _ | _ | |a PreJuSER-7023 |
| 041 | _ | _ | |a eng |
| 082 | _ | _ | |a 590 |
| 084 | _ | _ | |2 WoS |a Neurosciences |
| 100 | 1 | _ | |0 P:(DE-HGF)0 |a Laird, A.R. |b 0 |
| 245 | _ | _ | |a Investigating the Functional Heterogeneity of the Default Mode Network Using Coordinate-Based Meta-Analytic Modeling |
| 260 | _ | _ | |a Washington, DC |b Soc. |c 2009 |
| 300 | _ | _ | |a 14496 - 14505 |
| 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 3603 |a Journal of Neuroscience |v 29 |x 0270-6474 |y 46 |
| 500 | _ | _ | |a This work was supported by the National Institute of Mental Health ( Grants R01-MH074457 to P. T. F. and R01-MH084812 to A. R. L.), the Department of Defense (STRONGSTAR Neuroimaging Core to P. T. F.), and the Helmholz Initiative on Systems-Biology ( S. B. E.). Special thanks to Reese McKay for his input and to Steve Smith, Donald Dudley, and Robert Huff for insightful discussions. |
| 520 | _ | _ | |a The default mode network (DMN) comprises a set of regions that exhibit ongoing, intrinsic activity in the resting state and task-related decreases in activity across a range of paradigms. However, DMN regions have also been reported as task-related increases, either independently or coactivated with other regions in the network. Cognitive subtractions and the use of low-level baseline conditions have generally masked the functional nature of these regions. Using a combination of activation likelihood estimation, which assesses statistically significant convergence of neuroimaging results, and tools distributed with the BrainMap database, we identified core regions in the DMN and examined their functional heterogeneity. Meta-analytic coactivation maps of task-related increases were independently generated for each region, which included both within-DMN and non-DMN connections. Their functional properties were assessed using behavioral domain metadata in BrainMap. These results were integrated to determine a DMN connectivity model that represents the patterns of interactions observed in task-related increases in activity across diverse tasks. Subnetwork components of this model were identified, and behavioral domain analysis of these cliques yielded discrete functional properties, demonstrating that components of the DMN are differentially specialized. Affective and perceptual cliques of the DMN were identified, as well as the cliques associated with a reduced preference for motor processing. In summary, we used advanced coordinate-based meta-analysis techniques to explicate behavior and connectivity in the default mode network; future work will involve applying this analysis strategy to other modes of brain function, such as executive function or sensorimotor systems. |
| 536 | _ | _ | |0 G:(DE-Juel1)FUEK409 |2 G:(DE-HGF) |a Funktion und Dysfunktion des Nervensystems |c P33 |x 0 |
| 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 Brain Mapping: standards |
| 650 | _ | 2 | |2 MeSH |a Databases, Factual: standards |
| 650 | _ | 2 | |2 MeSH |a Humans |
| 650 | _ | 2 | |2 MeSH |a Meta-Analysis as Topic |
| 650 | _ | 2 | |2 MeSH |a Nerve Net: physiology |
| 650 | _ | 2 | |2 MeSH |a Neural Networks (Computer) |
| 650 | _ | 7 | |2 WoSType |a J |
| 700 | 1 | _ | |0 P:(DE-Juel1)131678 |a Eickhoff, S. B. |b 1 |u FZJ |
| 700 | 1 | _ | |0 P:(DE-HGF)0 |a Li, K. |b 2 |
| 700 | 1 | _ | |0 P:(DE-HGF)0 |a Robin, D.A. |b 3 |
| 700 | 1 | _ | |0 P:(DE-HGF)0 |a Glahn, D.C. |b 4 |
| 700 | 1 | _ | |0 P:(DE-HGF)0 |a Fox, P.T. |b 5 |
| 773 | _ | _ | |0 PERI:(DE-600)1475274-8 |a 10.1523/JNEUROSCI.4004-09.2009 |g Vol. 29, p. 14496 - 14505 |p 14496 - 14505 |q 29<14496 - 14505 |t The @journal of neuroscience |v 29 |x 0270-6474 |y 2009 |
| 856 | 7 | _ | |2 Pubmed Central |u http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2820256 |
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