Skip to main content
Journal cover image

Brain network functional connectivity and cognitive performance in major depressive disorder.

Publication ,  Journal Article
Albert, KM; Potter, GG; Boyd, BD; Kang, H; Taylor, WD
Published in: J Psychiatr Res
March 2019

BACKGROUND: Major depressive disorder (MDD) is one of the most prevalent and debilitating psychiatric disorders. Cognitive complaints are commonly reported in MDD and cognitive impairment is a criterion item for MDD diagnosis. As cognitive processes are increasingly understood as the consequences of distributed interactions between brain regions, a network-based approach may provide novel information about the neurobiological basis of cognitive deficits in MDD. METHODS: 51 Depressed (MDD, n = 23) and non-depressed (control, n = 28) adult participants completed neuropsychological testing and resting-state fMRI (rsfMRI). Cognitive domain scores (processing speed, working memory, episodic memory, and executive function) were calculated. Anatomical regions of interests were entered as seeds for functional connectivity analyses in: default mode (DMN), salience, and executive control (ECN) networks. Partial correlations controlling for age and sex were conducted for cognitive domain scores and functional connectivity in clusters with significant differences between groups. RESULTS: Significant rsfMRI differences between groups were identified in multiple clusters in the DMN and ECN. Greater positive connectivity within the ECN and between ECN and DMN regions was associated with poorer episodic memory performance in the Non-Depressed group but better performance in the MDD group. Greater connectivity within the DMN was associated with better episodic and working memory performance in the Non-Depressed group but worse performance in the MDD group. CONCLUSIONS: These results provide evidence that cognitive performance in MDD may be associated with aberrant functional connectivity in cognitive networks and suggest patterns of alternate brain function that may support cognitive processes in MDD.

Duke Scholars

Altmetric Attention Stats
Dimensions Citation Stats

Published In

J Psychiatr Res

DOI

EISSN

1879-1379

Publication Date

March 2019

Volume

110

Start / End Page

51 / 56

Location

England

Related Subject Headings

  • Young Adult
  • Psychiatry
  • Nerve Net
  • Middle Aged
  • Male
  • Magnetic Resonance Imaging
  • Humans
  • Female
  • Depressive Disorder, Major
  • Connectome
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Albert, K. M., Potter, G. G., Boyd, B. D., Kang, H., & Taylor, W. D. (2019). Brain network functional connectivity and cognitive performance in major depressive disorder. J Psychiatr Res, 110, 51–56. https://doi.org/10.1016/j.jpsychires.2018.11.020
Albert, Kimberly M., Guy G. Potter, Brian D. Boyd, Hakmook Kang, and Warren D. Taylor. “Brain network functional connectivity and cognitive performance in major depressive disorder.J Psychiatr Res 110 (March 2019): 51–56. https://doi.org/10.1016/j.jpsychires.2018.11.020.
Albert KM, Potter GG, Boyd BD, Kang H, Taylor WD. Brain network functional connectivity and cognitive performance in major depressive disorder. J Psychiatr Res. 2019 Mar;110:51–6.
Albert, Kimberly M., et al. “Brain network functional connectivity and cognitive performance in major depressive disorder.J Psychiatr Res, vol. 110, Mar. 2019, pp. 51–56. Pubmed, doi:10.1016/j.jpsychires.2018.11.020.
Albert KM, Potter GG, Boyd BD, Kang H, Taylor WD. Brain network functional connectivity and cognitive performance in major depressive disorder. J Psychiatr Res. 2019 Mar;110:51–56.
Journal cover image

Published In

J Psychiatr Res

DOI

EISSN

1879-1379

Publication Date

March 2019

Volume

110

Start / End Page

51 / 56

Location

England

Related Subject Headings

  • Young Adult
  • Psychiatry
  • Nerve Net
  • Middle Aged
  • Male
  • Magnetic Resonance Imaging
  • Humans
  • Female
  • Depressive Disorder, Major
  • Connectome