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Related Experiment Video

Updated: Aug 15, 2025

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

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Quantitative EEG as a Biomarker in Evaluating Post-Stroke Depression.

Livia Livinț Popa1,2, Diana Chira1, Victor Dăbală1,2

  • 1RoNeuro Institute for Neurological Research and Diagnostic, 400364 Cluj-Napoca, Romania.

Diagnostics (Basel, Switzerland)
|January 8, 2023
PubMed
Summary

Quantitative electroencephalography (qEEG) markers like the Delta+Theta/Alpha+Beta Ratio (DTABR) can help identify post-stroke depression (PSD). These brainwave patterns evolve over time, potentially indicating neural reorganization after stroke.

Keywords:
DTABRHADSischemic strokeneuropsychological assessmentpost-stroke depressionqEEG

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Area of Science:

  • Neuroscience
  • Clinical Neurology
  • Psychiatry

Background:

  • Post-stroke depression (PSD) is a common yet often underdiagnosed complication of stroke.
  • Its pathophysiology involves complex biological and psychological factors.
  • Quantitative electroencephalography (qEEG) shows promise in diagnosing depression.

Purpose of the Study:

  • To investigate if qEEG markers, specifically the Delta+Theta/Alpha+Beta Ratio (DTABR) and Delta/Alpha Ratio (DAR), can identify PSD.
  • To observe the evolution of these qEEG parameters in post-stroke patients over time.

Main Methods:

  • Analysis of EEG data from 57 patients from a randomized control trial (RCT).
  • EEG recordings were analyzed using signal processing techniques under various conditions (eyes open/closed) and during cognitive tasks.
  • Patients were evaluated using the HADS-D subscale for depression.

Main Results:

  • Two significant associations were found between DTABR values and HADS-D scores at two different visits (V1 and V2).
  • These associations were observed in global and frontal regions during attention and working memory tasks.
  • A negative association was noted during the second visit.

Conclusions:

  • Neural networks involved in attention and working memory may reorganize 1-4 months post-stroke.
  • By 6 months, this reorganization may localize to frontal regions, potentially diverging from subjective well-being.
  • qEEG parameters like DAR and DTABR can aid in identifying PSD, the most common neuropsychiatric complication in stroke survivors.