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Jeffrey M. Miller

Researcher at Columbia University

Publications -  55
Citations -  2026

Jeffrey M. Miller is an academic researcher from Columbia University. The author has contributed to research in topics: Major depressive disorder & Serotonin transporter. The author has an hindex of 19, co-authored 55 publications receiving 1494 citations. Previous affiliations of Jeffrey M. Miller include University of York.

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Systematic Review of Gut Microbiota and Major Depression.

TL;DR: It is proposed that studying microbial functioning may be more productive than a purely taxonomic approach to understanding the gut microbiome in depression because bacterial functions are conserved across taxonomic groups.
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Higher Serotonin 1A Binding in a Second Major Depression Cohort: Modeling and Reference Region Considerations

TL;DR: Higher 5-HT(1A) BP(F) in MDD was found with the method with fewest assumptions about nonspecific binding and a reference region without receptors, suggesting choice of reference region and outcome measure could explain discrepancies.
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Anhedonia after a selective bilateral lesion of the globus pallidus.

TL;DR: Comprehensive neuropsychological tests revealed intact cognitive functions, including attention, working memory, and executive function, and an indicated absence of a frontal-subcortical syndrome in a 34-year-old man who came to the authors' outpatient clinic for treatment of a major depressive episode.
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Reported childhood abuse is associated with low serotonin transporter binding in vivo in major depressive disorder

TL;DR: Report of childhood abuse is associated with lower 5‐HTT BPP in this sample of subjects with major depression, consistent with other reports that childhood adversity can lower serotonergic function permanently.
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Elevated serotonin 1A binding in remitted major depressive disorder: evidence for a trait biological abnormality.

TL;DR: Elevated 5-HT1A BPF level among subjects with remitted MDD appears to be a trait abnormality in MDD, which may underlie recurrent MDEs, and the role of genetic and environmental factors should be evaluated.