4.5 Article

White matter integrity in brain networks relevant to anxiety and depression: evidence from the human connectome project dataset

Journal

BRAIN IMAGING AND BEHAVIOR
Volume 11, Issue 6, Pages 1604-1615

Publisher

SPRINGER
DOI: 10.1007/s11682-016-9642-2

Keywords

Diffusion tensor imaging; Structural MRI; Anxiety; Depression; Human connectome project; HCP

Categories

Funding

  1. Human Connectome Project, WU-Minn Consortium [1U54MH091657]
  2. NIH
  3. McDonnell Center for Systems Neuroscience at Washington University
  4. Ghent University
  5. Hercules Foundation
  6. Flemish Government - Department EWI
  7. Ghent University (Multidisciplinary Research Partnership The integrative neuroscience of behavioral control)

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Anxiety and depression are associated with altered communication within global brain networks and between these networks and the amygdala. Functional connectivity studies demonstrate an effect of anxiety and depression on four critical brain networks involved in top-down attentional control (fronto-parietal network; FPN), salience detection and error monitoring (cingulo-opercular network; CON), bottom-up stimulus-driven attention (ventral attention network; VAN), and default mode (default mode network; DMN). However, structural evidence on the white matter (WM) connections within these networks and between these networks and the amygdala is lacking. The current study in a large healthy sample (n = 483) observed that higher trait anxiety-depression predicted lower WM integrity in the connections between amygdala and specific regions of the FPN, CON, VAN, and DMN. We discuss the possible consequences of these anatomical alterations for cognitive-affective functioning and underscore the need for further theory-driven research on individual differences in anxiety and depression on brain structure.

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