Resting state functional connectivity patterns as biomarkers of treatment response to escitalopram in patients with major depressive disorder

• DOI: 10.1007/s00213-021-05915-7
• Publication Date: 2021-09-03T22:17:17Z
• Authors: Marieke A. G. Mar...; Nicola Filippini; Catherine J. Harmer; Beata R. Godlewska
• Keywords: Escitalopram; Posterior cingulate; Citalopram; Depression

Abstract Rational With no available response biomarkers, matching an appropriate antidepressant to individual can be a lengthy process. Improving understanding of processes underlying treatment responsivity in depression is crucial for facilitating work on biomarkers. Objectives To identify differences patterns pre-treatment resting-state functional connectivity (rsFC) that may underlie treatment. Methods After baseline MRI scan, thirty-four drug-free patients with were treated SSRI escitalopram 10 mg daily 6 weeks; was defined as ≥ 50% decrease Hamilton Depression Rating Scale (HAMD) score. Thirty-one healthy controls had clinical assessment and scan. Healthy participants did not receive Results Twenty-one (62%) responded escitalopram. Treatment associated enhanced rsFC the right fronto-parietal network (FPN)—with posterior DMN, somatomotor (SMN) somatosensory association cortex. The lack characterized by reduced rsFC: bilateral FPN contralateral SMN, extended sensorimotor auditory area inferior parietal lobule (IPL) DMN. Reduced DMN IPL seen responders, although only when compared HC. Conclusions study supports role networks treatment, particular central frontoparietal default mode networks.