Resting-state functional connectivity in women with Major Depressive Disorder

Angel Buchanan*, Xue Wang, Jackie K. Gollan

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

22 Scopus citations


Objective: Limited research has focused on whole-brain functional connectivity in a well-characterized sample of subjects with current Major Depressive Disorder (MDD). We aimed to investigate resting-state functional connectivity and the extent to which this is correlated with depression severity in unmedicated depressed subjects without comorbidities. Methods: We utilized Independent Component Analysis (ICA) to investigate whole-brain functional connectivity in a sample of healthy controls (n=26) and unmedicated subjects diagnosed only with current MDD (n=20). Correlations were calculated between network connectivity strength and depression severity. Results: Depressed subjects demonstrated significantly decreased connectivity in the right frontoparietal (p=0.03), left frontoparietal (p=0.01), and language (p=0.02) networks compared to healthy control subjects. Conclusion: We found abnormal resting-state functional connectivity not previously reported in MDD. Decreased connectivity in the frontoparietal and language networks may represent depression-related difficulties in attention, cognitive control, goal-directed cognition, and language. Findings from this study may further elucidate functional connectivity as a diagnostic marker of depression severity.

Original languageEnglish (US)
Pages (from-to)38-44
Number of pages7
JournalJournal of Psychiatric Research
StatePublished - Dec 1 2014


  • Connectivity
  • Depression
  • Independent component analysis
  • Resting-state
  • fMRI

ASJC Scopus subject areas

  • Psychiatry and Mental health
  • Biological Psychiatry


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