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Related Experiment Video

Updated: Jul 12, 2025

Electroencephalography Network Indices as Biomarkers of Upper Limb Impairment in Chronic Stroke
06:37

Electroencephalography Network Indices as Biomarkers of Upper Limb Impairment in Chronic Stroke

Published on: July 14, 2023

919

Post-stroke Depressive Symptoms and Cognitive Performances: A Network Analysis.

Yun Shi1, Eric J Lenze2, David C Mohr3

  • 1Center for Healthful Behavior Change, Institute for Excellence in Health Equity, NYU Langone Health, New York, NY; Department of Population Health, New York University Grossman School of Medicine, New York, NY.

Archives of Physical Medicine and Rehabilitation
|October 26, 2023
PubMed
Summary

Network analysis reveals key links between post-stroke depression and cognitive deficits. Mood, concentration, and guilt are central depressive symptoms, while psychomotor functioning and attention bridge cognitive and emotional impairments.

Keywords:
CognitionDepressionNetwork analysisNeuropsychiatryStroke

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Area of Science:

  • Neuroscience
  • Psychiatry
  • Rehabilitation Medicine

Background:

  • Post-stroke depression (PSD) is a common and debilitating consequence of stroke.
  • Cognitive impairment frequently co-occurs with PSD, significantly impacting patient recovery and quality of life.
  • Understanding the intricate relationship between depressive symptoms and cognitive deficits is crucial for effective treatment.

Purpose of the Study:

  • To investigate the network structure connecting depressive symptoms and cognitive performance in individuals following a stroke.
  • To identify central depressive symptoms, key cognitive functions, and the specific components that bridge these two domains.

Main Methods:

  • An observational study utilizing network analysis on baseline data from 202 participants with mild-to-moderate stroke.
  • Assessed depressive symptoms using the Patient Health Questionnaire (PHQ-8).
  • Evaluated cognitive performances with the NIH Toolbox Cognitive Battery.

Main Results:

  • Depressive symptoms formed interconnected clusters, with mood, concentration, and guilt identified as the most central symptoms.
  • Cognitive performance also exhibited network patterns, highlighting executive function, expressive language, and processing speed as central.
  • Psychomotor functioning and attention emerged as critical bridge components linking depression and cognition.

Conclusions:

  • The identified central and bridge components offer potential targets for novel interventions aimed at mitigating post-stroke depression and cognitive impairment.
  • Further research is warranted to compare the efficacy of interventions targeting these specific network components versus generalized treatment approaches.