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Related Experiment Video

Updated: Sep 14, 2025

Using Informational Connectivity to Measure the Synchronous Emergence of fMRI Multi-voxel Information Across Time
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Multi-voxel pattern analysis for characterizing functional connectivity and neurocognitive function in major

Alice Rueda1, Ilya Demchenko2, Vanessa K Tassone2

  • 1Interventional Psychiatry Program, St. Michael's Hospital - Unity Health Toronto, 193 Yonge Street, Toronto, ON M5B 1M4, Canada.

Neuroimage. Clinical
|July 20, 2025
PubMed
Summary

Major depressive disorder (MDD) disrupts brain connectivity, impacting neurocognitive function. This study found altered resting-state functional connectivity (rsFC) patterns in MDD patients, particularly in the left cerebellar crus I, which were linked to cognitive deficits in healthy individuals.

Keywords:
Brain networksData-driven analysisFunctional neuroimagingMagnetic resonance imagingMood disordersMulti-voxel pattern analysis

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Area of Science:

  • Neuroscience
  • Psychiatry
  • Cognitive Science

Background:

  • Major depressive disorder (MDD) impairs not only mood but also neurocognitive abilities.
  • Understanding the neural underpinnings of these cognitive deficits in MDD is crucial.

Purpose of the Study:

  • To investigate the relationship between resting-state functional connectivity (rsFC) and neurocognitive function in individuals with MDD.
  • To compare rsFC patterns in MDD patients with healthy controls (HC) using whole-brain functional connectivity multi-voxel pattern analysis (fc-MVPA).

Main Methods:

  • Utilized functional magnetic resonance imaging (fMRI) data from the CAN-BIND-1 dataset.
  • Applied a data-driven whole-brain fc-MVPA approach to analyze rsFC in 147 MDD patients and 98 HC.
  • Assessed neurocognitive function using the Computerized Neurocognitive Assessment Vital Signs (CNS-VS) battery.

Main Results:

  • Identified six clusters with altered rsFC in MDD, including the left cerebellar crus I, right precuneus, and left superior lateral occipital cortex.
  • Discovered 24 patterns of altered rsFC in MDD, involving multiple brain networks (default mode, central executive, visual, salience, sensorimotor).
  • Found that associations between rsFC patterns and cognitive domains (memory, processing speed, executive function, attention) were present in HC but absent in MDD.

Conclusions:

  • MDD is characterized by disrupted rsFC across brain networks essential for neurocognitive function.
  • The left cerebellar crus I emerged as a key region with aberrant rsFC in MDD.
  • The study highlights a disconnect between brain connectivity and cognitive performance in MDD.