@article{c2eff60cb60b4182ac1cfc8aa76b66ff,
title = "Functional network dysfunction in anxiety and anxiety disorders",
abstract = "A recent paradigm shift in systems neuroscience is the division of the human brain into functional networks. Functional networks are collections of brain regions with strongly correlated activity both at rest and during cognitive tasks, and each network is believed to implement a different aspect of cognition. We propose here that anxiety disorders and high trait anxiety are associated with a particular pattern of functional network dysfunction: increased functioning of the cingulo-opercular and ventral attention networks as well as decreased functioning of the fronto-parietal and default mode networks. This functional network model can be used to differentiate the pathology of anxiety disorders from other psychiatric illnesses such as major depression and provides targets for novel treatment strategies.",
keywords = "Anxiety, Anxiety disorder, Brain network, FMRI, Functional network",
author = "Sylvester, {C. M.} and M. Corbetta and Raichle, {M. E.} and Rodebaugh, {T. L.} and Schlaggar, {B. L.} and Sheline, {Y. I.} and Zorumski, {C. F.} and Lenze, {E. J.}",
note = "Funding Information: This work was supported by Bantly Foundation (C.F.Z.), Lundbeck (E.J.L.), Forest (E.J.L.), Johnson & Johnson (E.J.L), and Pfizer (E.J.L.). C.F.Z. serves on the Scientific Advisory Board of Sage Therapeutics, and E.J.L. was formerly a consultant for Fox Learning Systems. These sources of support did not in any way contribute to this manuscript. Funding Information: We thank Daniel Pine for comments on an earlier version of this manuscript. We thank Jonathan Power and Russ Hornbeck for assistance with Figures. This work was supported by the National Institutes of Health (NIH) grants 5R01HD61117-6 (M.C.), NIH R01 MH096482-01 (M.C.), NIH NS06833 (M.E.R.), NIH MH090308 (T.L.R.), National Institute of Mental Health (NIMH) K24 65421 (Y.I.S.), NIH MH07791 (C.F.Z.), and NIH AA017413 (C.F.Z.).",
year = "2012",
month = sep,
doi = "10.1016/j.tins.2012.04.012",
language = "English",
volume = "35",
pages = "527--535",
journal = "Trends in Neurosciences",
issn = "0166-2236",
number = "9",
}