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Updated: Apr 11, 2026

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FUNCTIONAL CONNECTIVITY ALTERATIONS IN MAJOR DEPRESSIVE DISORDER.

Malvika Sridhar1, Sir-Lord Wiafe1, Bradley Baker1

  • 1Tri-Institutional Center for Translational Research in Neuroimaging and Data Science, Atlanta, USA.

Biorxiv : the Preprint Server for Biology
|April 10, 2026
PubMed
Summary
This summary is machine-generated.

Major depressive disorder (MDD) involves widespread brain network changes. This study found both static and dynamic functional connectivity disruptions in the brains of individuals with MDD.

Keywords:
Major depressive disorderfunctional connectivityindependent component analysisresting-state fMRI

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Area of Science:

  • Neuroscience
  • Psychiatry
  • Medical Imaging

Background:

  • Major depressive disorder (MDD) is a prevalent mental health condition characterized by significant mood disturbances.
  • Neuroimaging studies suggest MDD is associated with disruptions in large-scale brain functional networks.
  • Understanding these network alterations is crucial for developing targeted treatments.

Purpose of the Study:

  • To investigate static and dynamic functional network connectivity (FNC) in a large cohort of individuals with MDD.
  • To identify specific patterns of altered connectivity associated with MDD using resting-state functional magnetic resonance imaging (rs-fMRI).
  • To explore the utility of combining static and dynamic analytical approaches for characterizing MDD's neural underpinnings.

Main Methods:

  • Analysis of a large rs-fMRI dataset (N = 519) from individuals with and without MDD.
  • Application of independent component analysis (ICA) to assess static FNC.
  • Utilized a novel frequency-sensitive dynamic approach to evaluate temporal synchrony of brain states.

Main Results:

  • Identified hyperconnectivity within sensorimotor and temporal subdomains in MDD.
  • Revealed hypoconnectivity from higher cognitive networks and hyperconnectivity from default mode and sensorimotor domains.
  • Detected disruptions in the temporal synchrony of brain states involving default mode-paralimbic, sensorimotor, frontal, subcortical limbic, and salience regions.

Conclusions:

  • The study highlights significant static and dynamic functional connectivity alterations in MDD.
  • Combining static and dynamic FNC analyses provides a more comprehensive understanding of MDD's neural basis.
  • These findings underscore the potential of advanced neuroimaging techniques for elucidating MDD pathology.