% IMPORTANT: The following is UTF-8 encoded.  This means that in the presence
% of non-ASCII characters, it will not work with BibTeX 0.99 or older.
% Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or
% “biber”.

@ARTICLE{Laird:7023,
      author       = {Laird, A.R. and Eickhoff, S. B. and Li, K. and Robin, D.A.
                      and Glahn, D.C. and Fox, P.T.},
      title        = {{I}nvestigating the {F}unctional {H}eterogeneity of the
                      {D}efault {M}ode {N}etwork {U}sing {C}oordinate-{B}ased
                      {M}eta-{A}nalytic {M}odeling},
      journal      = {The journal of neuroscience},
      volume       = {29},
      issn         = {0270-6474},
      address      = {Washington, DC},
      publisher    = {Soc.},
      reportid     = {PreJuSER-7023},
      pages        = {14496 - 14505},
      year         = {2009},
      note         = {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.},
      abstract     = {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.},
      keywords     = {Brain: physiology / Brain Mapping: methods / Brain Mapping:
                      standards / Databases, Factual: standards / Humans /
                      Meta-Analysis as Topic / Nerve Net: physiology / Neural
                      Networks (Computer) / J (WoSType)},
      cin          = {INM-2},
      ddc          = {590},
      cid          = {I:(DE-Juel1)INM-2-20090406},
      pnm          = {Funktion und Dysfunktion des Nervensystems},
      pid          = {G:(DE-Juel1)FUEK409},
      shelfmark    = {Neurosciences},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:19923283},
      pmc          = {pmc:PMC2820256},
      UT           = {WOS:000271944500012},
      doi          = {10.1523/JNEUROSCI.4004-09.2009},
      url          = {https://juser.fz-juelich.de/record/7023},
}