Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2019 Mar:110:51-56.
doi: 10.1016/j.jpsychires.2018.11.020. Epub 2018 Nov 22.

Brain network functional connectivity and cognitive performance in major depressive disorder

Affiliations

Brain network functional connectivity and cognitive performance in major depressive disorder

Kimberly M Albert et al. J Psychiatr Res. 2019 Mar.

Abstract

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.

Keywords: Cognition; Functional MRI; Functional connectivity; Major depression.

PubMed Disclaimer

Figures

Figure 1:
Figure 1:
Resting functional connectivity patterns in all participants, using the dorsolateral prefrontal cortex (dlPFC) seed for the executive control network, the posterior cingulate cortex (PCC) seed for the default mode network, and the, insula (INS) seed for the salience network.
Figure 2:
Figure 2:
A) Resting functional connectivity patterns associated with better cognitive performance (episodic memory) in participants with major depressive disorder (MDD) compared to non-depressed participants using the dorsolateral prefrontal cortex (dlPFC) seed for the executive control network. B) Resting functional connectivity patterns associated with better cognitive performance (episodic and working memory) in non-depressed participants compared to participants with major depressive disorder (MDD) using the posterior cingulate cortex (PCC) seed for the default mode network. C) Functional connectivity for bilateral dlPFC and PCC and cognitive domain scores (episodic and working memory) in the MDD and Non-Depressed groups.

Similar articles

Cited by

References

    1. Albert K, Gau V, Taylor WD, Newhouse PA, 2017. Attention bias in older women with remitted depression is associated with enhanced amygdala activity and functional connectivity. J. Affect. Disord 210 10.1016/j.jad.2016.12.010 - DOI - PMC - PubMed
    1. Albert KM, Potter GG, Mcquoid DR, Taylor WD, 2018. Cognitive performance in antidepressant-free recurrent major depressive disorder. Depress. Anxiety 10.1002/da.22747 - DOI - PMC - PubMed
    1. Bora E, Harrison BJ, Yücel M, Pantelis C, 2013. Cognitive impairment in euthymic major depressive disorder: a meta-analysis. Psychol. Med 43, 2017–2026. 10.1017/S0033291712002085 - DOI - PubMed
    1. Bressler SL, Menon V, 2010. Large-scale brain networks in cognition: emerging methods and principles. Trends Cogn. Sci 10.1016/j.tics.2010.04.004 - DOI - PubMed
    1. Diener C, Kuehner C, Brusniak W, Ubl B, Wessa M, Flor H, 2012. A meta-analysis of neurofunctional imaging studies of emotion and cognition in major depression. Neuroimage 61, 677–685. 10.1016/j.neuroimage.2012.04.005 - DOI - PubMed

Publication types