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Review
. 2021 Mar 26:12:565136.
doi: 10.3389/fpsyt.2021.565136. eCollection 2021.

Resting State Functional Connectivity Biomarkers of Treatment Response in Mood Disorders: A Review

Joseph J Taylor  1 , Hatice Guncu Kurt  2 , Amit Anand  2
Affiliations
Review

Resting State Functional Connectivity Biomarkers of Treatment Response in Mood Disorders: A Review

Joseph J Taylor et al. Front Psychiatry. .

Abstract

There are currently no validated treatment biomarkers in psychiatry. Resting State Functional Connectivity (RSFC) is a popular method for investigating the neural correlates of mood disorders, but the breadth of the field makes it difficult to assess progress toward treatment response biomarkers. In this review, we followed general PRISMA guidelines to evaluate the evidence base for mood disorder treatment biomarkers across diagnoses, brain network models, and treatment modalities. We hypothesized that no treatment biomarker would be validated across these domains or with independent datasets. Results are organized, interpreted, and discussed in the context of four popular analytic techniques: (1) reference region (seed-based) analysis, (2) independent component analysis, (3) graph theory analysis, and (4) other methods. Cortico-limbic connectivity is implicated across studies, but there is no single biomarker that spans analyses or that has been replicated in multiple independent datasets. We discuss RSFC limitations and future directions in biomarker development.

Keywords: biomarker; bipolar disorder; depression; fMRI; mood disorder; neuroimaging; resting state functional connectivity; treatment response.

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Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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