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An Electrophysiological Biomarker That May Predict Treatment Response to ECT.

Publication ,  Journal Article
Scangos, KW; Weiner, RD; Coffey, EC; Krystal, AD
Published in: J ECT
June 2019

OBJECTIVE: Electroconvulsive therapy (ECT) is the most effective treatment for major depression but also carries risk of cognitive side effects. The ability to predict whether treatment will be effective before initiation of treatment could significantly improve quality of care, reduce suffering, and diminish costs. We sought to carry out a comprehensive and definitive study of the relationship between the background electroencephalography (EEG) and therapeutic response to ECT. METHODS: Twenty-one channel resting EEG was collected pre-ECT and 2 to 3 days after ECT course from 2 separate data sets, one to develop an EEG model of therapeutic response (n = 30) and a second to test this model (n = 40). A 3-way principal components analysis was applied and coherence and spectral amplitude across 6 frequency bands were examined. The primary outcome measure was the Montgomery-Asberg Rating Scale (MADRS). RESULTS: Four patterns of amplitude and coherence along with baseline MADRS score accounted for 85% of the variance in posttreatment course MADRS score in study 1 (R = 0.85, F = 11.7, P < 0.0002) and 53% of the variance in MADRS score in study 2 (R = 0.53, F = 5.5, P < 0.003). Greater pre-ECT course anterior delta coherence accounted for the majority of variance in therapeutic response (study 1: R = 0.44, P = 0.01; study 2: R = 0.16, P = 0.008). CONCLUSIONS: These results suggest a putative electrophysiological biomarker that can predict therapeutic response before a course of ECT. Greater baseline anterior delta coherence is significantly associated with a better subsequent therapeutic response and could be indicative of intact circuitry allowing for improved seizure propagation.

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Published In

J ECT

DOI

EISSN

1533-4112

Publication Date

June 2019

Volume

35

Issue

2

Start / End Page

95 / 102

Location

United States

Related Subject Headings

  • Treatment Outcome
  • Psychiatry
  • Psychiatric Status Rating Scales
  • Predictive Value of Tests
  • Models, Theoretical
  • Middle Aged
  • Male
  • Humans
  • Female
  • Electroencephalography
 

Citation

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ICMJE
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Scangos, K. W., Weiner, R. D., Coffey, E. C., & Krystal, A. D. (2019). An Electrophysiological Biomarker That May Predict Treatment Response to ECT. J ECT, 35(2), 95–102. https://doi.org/10.1097/YCT.0000000000000557
Scangos, Katherine W., Richard D. Weiner, Edward C. Coffey, and Andrew D. Krystal. “An Electrophysiological Biomarker That May Predict Treatment Response to ECT.J ECT 35, no. 2 (June 2019): 95–102. https://doi.org/10.1097/YCT.0000000000000557.
Scangos KW, Weiner RD, Coffey EC, Krystal AD. An Electrophysiological Biomarker That May Predict Treatment Response to ECT. J ECT. 2019 Jun;35(2):95–102.
Scangos, Katherine W., et al. “An Electrophysiological Biomarker That May Predict Treatment Response to ECT.J ECT, vol. 35, no. 2, June 2019, pp. 95–102. Pubmed, doi:10.1097/YCT.0000000000000557.
Scangos KW, Weiner RD, Coffey EC, Krystal AD. An Electrophysiological Biomarker That May Predict Treatment Response to ECT. J ECT. 2019 Jun;35(2):95–102.

Published In

J ECT

DOI

EISSN

1533-4112

Publication Date

June 2019

Volume

35

Issue

2

Start / End Page

95 / 102

Location

United States

Related Subject Headings

  • Treatment Outcome
  • Psychiatry
  • Psychiatric Status Rating Scales
  • Predictive Value of Tests
  • Models, Theoretical
  • Middle Aged
  • Male
  • Humans
  • Female
  • Electroencephalography