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Abstract #5546

Baseline dynamic functional connectivity predicts response to repetitive transcranial magnetic stimulation in patients with treatment-resistant depression

Sarina Jennifer Iwabuchi1,2, Dorothee P Auer1,2, Sudheer Lankappa3, and Lena Palaniyappan4,5

1Sir Peter Mansfield Imaging Centre, University of Nottingham, Nottingham, United Kingdom, 2NIHR Nottingham Biomedical Research Centre, Nottingham, United Kingdom, 3Department of Psychiatry, Nottinghamshire Healthcare NHS Trust, Nottingham, United Kingdom, 4Departments of Psychiatry and Medical Biophysics & Robarts Research Institute, Western University, London, ON, Canada, 5Lawson Health Research Institute, London, ON, Canada

Repetitive transcranial magnetic stimulation (rTMS) is becoming increasingly popular for the treatment of depression. However, there is a need for improving response through identifying predictive biomarkers and understanding mechanisms underlying treatment response to enable stratified patient care. We investigated in a group of 27 patients with treatment resistant depression, whether dynamic interactions between brain networks (measured with resting-state fMRI) can predict clinical response following 4 weeks of rTMS treatment. We found that clinical response may be more related to ‘trait’ like dynamic balance among large-scale networks that are present at the outset of treatment.

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