Please use this identifier to cite or link to this item:
Scopus Web of Science® Altmetric
Type: Journal article
Title: Responders to rTMS for depression show increased fronto-midline theta and theta connectivity compared to non-responders
Author: Bailey, N.
Hoy, K.
Rogasch, N.
Thomson, R.
McQueen, S.
Elliot, D.
Sullivan, C.
Fulcher, B.
Daskalakis, Z.
Fitzgerald, P.
Citation: Brain Stimulation, 2018; 11(1):190-203
Publisher: Elsevier
Issue Date: 2018
ISSN: 1935-861X
Statement of
N.W. Bailey, K.E. Hoy, N.C. Rogasch, R.H. Thomson, S. McQueen, D. Elliot, C.M. Sullivan, B.D. Fulcher, Z.J. Daskalakis, P.B. Fitzgerald
Abstract: Background: Repetitive transcranial magnetic stimulation (rTMS) is an effective treatment for depression, but only some individuals respond. Predicting response could reduce patient and clinical burden. Neural activity related to working memory (WM) has been related to mood improvements, so may represent a biomarker for response prediction. Primary Hypotheses: We expected higher theta and alpha activity in responders compared to non-responders to rTMS. Methods: Fifty patients with treatment resistant depression and twenty controls performed a WM task while electroencephalography (EEG) was recorded. Patients underwent 5-8 weeks of rTMS treatment, repeating the EEG at week 1 (W1). Of the 39 participants with valid WM-related EEG data from baseline and W1, 10 were responders. Comparisons between responders and non-responders were made at baseline and W1 for measures of theta (4-8 Hz), upper alpha (10-12.5 Hz), and gamma (30-45 Hz) power, connectivity, and theta-gamma coupling. The control group's measures were compared to the depression group's baseline measures separately. Results: Responders showed higher levels of WM-related fronto-midline theta power and theta connectivity compared to non-responders at baseline and W1. Responder's fronto-midline theta power and connectivity was similar to controls. Responders also showed an increase in gamma connectivity from baseline to W1, with a concurrent improvement in mood and WM reaction times. An unbiased combination of all measures provided mean sensitivity of 0.90 at predicting responders and specificity of 0.92 in a predictive machine learning algorithm. Conclusion: Baseline and W1 fronto-midline theta power and theta connectivity show good potential for predicting response to rTMS treatment for depression.
Keywords: Transcranial magnetic stimulation; treatment resistant depression; electroencephalography; response prediction; theta; alpha
Rights: © 2017 Elsevier Inc. All rights reserved.
RMID: 0030120394
DOI: 10.1016/j.brs.2017.10.015
Grant ID:
Appears in Collections:Medicine publications

Files in This Item:
There are no files associated with this item.

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.