Pretreatment and early-treatment cortical thickness is associated with SSRI treatment response in major depressive disorder
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To date, there are no biomarkers for major depressive disorder (MDD) treatment response in clinical use. Such biomarkers could allow for individualized treatment selection, reducing time spent on ineffective treatments and the burden of MDD. In search of such a biomarker, multisite pretreatment and early-treatment (1 week into treatment) structural magnetic resonance (MR) images were acquired from 184 patients with MDD randomized to an 8-week trial of the selective serotonin reuptake inhibitor (SSRI) sertraline or placebo. This study represents a large, multisite, placebo-controlled effort to examine the association between pretreatment differences or early-treatment changes in cortical thickness and treatment-specific outcomes. For standardization, a novel, robust site harmonization procedure was applied to structural measures in a priori regions (rostral and caudal anterior cingulate, lateral orbitofrontal, rostral middle frontal, and hippocampus), chosen based on previously published reports. Pretreatment cortical thickness or volume did not significantly associate with SSRI response. Thickening of the rostral anterior cingulate cortex in the first week of treatment was associated with better 8-week responses to SSRI (p = 0.010). These findings indicate that frontal lobe structural alterations in the first week of treatment may be associated with long-term treatment efficacy. While these associational findings may help to elucidate the specific neural targets of SSRIs, the predictive accuracy of pretreatment or early-treatment structural alterations in classifying treatment remitters from nonremitters was limited to 63.9%. Therefore, in this large sample of adults with MDD, structural MR imaging measures were not found to be clinically translatable biomarkers of treatment response to SSRI or placebo.
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In imaging studies of traditional antidepressant treatment response, increased cortical thickness and cerebral blood flow in the PFC correlate with efficacy.
“In imaging studies of traditional antidepressant treatment response, increased cortical thickness and cerebral blood flow in the PFC correlate with efficacy (108–112).”
From Psychedelics and Other Psychoplastogens for Treating Mental Illness. (2021) · cites this paper as [108]
The Results (section labeled “Participants”; page unavailable) report that early-treatment thickening of the rostral anterior cingulate cortex was associated with better response to sertraline. The paper reports structural MRI measures of cortical thickness and volume, but the passages do not support the attributed claim about increased PFC cerebral blood flow correlating with efficacy (searched: “cerebral blood flow perfusion PFC treatment response” and “blood flow”). (LLM, conf=0.90)
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Privacy-preserving harmonization via distributed ComBat
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Neuroimmune Mechanisms and Sex/Gender-Dependent Effects in the Pathophysiology of Mental Disorders
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Self-citationAltered topology of individual brain structural covariance networks in major depressive disorder
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Examination of structural brain changes in recent suicidal behavior
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Self-citationLong-term depressive symptoms and midlife brain age
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Personalized Diagnosis and Treatment for Neuroimaging in Depressive Disorders
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Widespread Morphometric Abnormalities in Major Depression
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The PPM1F gene moderates the association between PTSD and cortical thickness
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Effects of electroconvulsive therapy on cortical thickness in depression: a systematic review
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The Current Landscape of AI Application in Healthcare: A Review
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- Authors
- Bartlett, E. A., DeLorenzo, C., Sharma, P., Yang, J., Zhang, M., Petkova, E., Weissman, M., McGrath, P. J., Fava, M., Ogden, R. T., Kurian, B. T., Malchow, A., Cooper, C. M., Trombello, J. M., McInnis, M., Adams, P., Oquendo, M. A., Pizzagalli, D. A., Trivedi, M., & Parsey, R. V.
- Affiliations
- Stony Brook University (US)
- NYU Langone Health (US)
- Columbia University Irving Medical Center (US)
- Columbia University (US)
- The University of Texas Southwestern Medical Center (US)
- University of Michigan (US)
- Harvard University (US)
- Corresponding author
- Bartlett, Elizabeth A.
- ORCID
- Venue
- Neuropsychopharmacology
- Published
- 2018-06-19
- Volume
- 43
- Issue
- 11
- Pages
- 2221-2230
- ISSN
- 0893-133X (ISSN-L)
- 1740-634X
- PMC
- PMC6135779
- OpenAlex
- W2808444231
- Cited by
- 72
- References
- 66
- Citations by year
- 2026: 3 · 2025: 9 · 2024: 6 · 2023: 15 · 2022: 11 · 2021: 9 · 2020: 7 · 2019: 10 · 2018: 1
- FWCI
- 4.36
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Neuropsychopharmacology (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Columbia Academic Commons (Columbia University)
- Funders
- U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (U01MH092250, U01MH092221)
- Topics
- Health Sciences › Medicine › Pharmacology › Treatment of Major Depression
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neurotransmitter Receptor Influence on Behavior
- Keywords
- major depressive disorder, selective serotonin reuptake inhibitors, sertraline, treatment response biomarkers, cortical thickness, rostral anterior cingulate cortex, structural MRI, treatment response prediction, placebo response
- MeSH terms
- Machine Learning, Adult, Cerebral Cortex, Major Depressive Disorder, Double-Blind Method, Female, Humans, Male, Middle Aged, Organ Size, Treatment Outcome, Selective Serotonin Reuptake Inhibitors, Young Adult
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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