Abstract #5546

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

Sarina Jennifer Iwabuchi^1,2, Dorothee P Auer^1,2, Sudheer Lankappa³, and Lena Palaniyappan^4,5

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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