Cited by 375Functional Brain Connectivity StudiesTreatment of Major DepressionTranscranial Magnetic Stimulation Studies

A systematic review of relations between resting-state functional-MRI and treatment response in major depressive disorder

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Dichter, Gabriel S., Gibbs, Devin, Smoski, Moria J.·2015·Journal of Affective Disorders

Abstract

Background Resting-state functional magnetic resonance imaging (fMRI) is a promising predictor of treatment response in major depressive disorder (MDD).Methods A search for papers published in English was conducted using PubMed with the following words: depression, treatment, resting-state, connectivity, and fMRI. Findings from 21 studies of relations between resting-state fMRI and treatment response in MDD are presented, and common findings and themes are discussed.Results The use of resting-state fMRI in research on MDD treatment response has yielded a number of consistent findings that provide a basis for understanding the potential mechanisms of action of antidepressant treatment response. These included (1) associations between response to antidepressant medications and increased functional connectivity between frontal and limbic brain regions, possibly resulting in greater inhibitory control over neural circuits that process emotions; (2) connectivity of visual recognition circuits in studies that compared treatment resistant and treatment sensitive patients; (3) response to TMS was consistently predicted by subcallosal cortex connectivity; and (4) hyperconnectivity of the default mode network and hypoconnectivity of the cognitive control network differentiated treatment-resistant from treatment-sensitive MDD patients.Limitations There was also considerable variability between studies with respect to study designs and analytic strategies that made direct comparisons across all studies difficult.Conclusions Continued standardization of study designs and analytic strategies as well as aggregation of larger datasets will allow the field to better elucidate the potential mechanisms of action of treatment response in patients with MDD to ultimately generate algorithms to predict which patients will respond to which antidepressant treatments.

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References 61 · Cited by 375

Authors
Dichter, G. S., Gibbs, D., & Smoski, M. J.
Affiliations
  • University of North Carolina at Chapel Hill (US)
  • Duke Medical Center (US)
Corresponding author
Dichter, Gabriel S.
Venue
Journal of Affective Disorders
Publisher
Elsevier BV
Published
2015-02
Volume
172
Pages
8-17
ISSN
0165-0327 (ISSN-L)
OpenAlex
W2157607979
Cited by
375
References
61
Citations by year
2026: 24 · 2025: 31 · 2024: 32 · 2023: 31 · 2022: 39 · 2021: 57 · 2020: 32 · 2019: 40 · 2018: 24 · 2017: 26 · 2016: 26 · 2015: 12 · 2014: 1
FWCI
2.10
Type
journal article
Language
en
Open access
Locations
  • Journal of Affective Disorders (publishedVersion)
  • PubMed (publishedVersion)
  • Europe PMC (PubMed Central) (acceptedVersion)
  • PubMed Central (acceptedVersion)
Funders
  • Institut National de la Santé et de la Recherche Médicale
  • National Institutes of Health
  • National Institute of Mental Health (R21MH094781)
Topics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
  • Health Sciences › Medicine › Pharmacology › Treatment of Major Depression
  • Life Sciences › Neuroscience › Neurology › Transcranial Magnetic Stimulation Studies
Keywords
major depressive disorder, resting-state fMRI, treatment response prediction, antidepressant response, treatment-resistant depression, functional connectivity, default mode network, cognitive control network, transcranial magnetic stimulation, subcallosal cortex
MeSH terms
Adult, Antidepressive Agents, Brain, Cerebral Cortex, Major Depressive Disorder, Emotions, Female, Humans, Magnetic Resonance Imaging, Male, Middle Aged, Treatment Outcome

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