Postmortem Findings in Suicide Victims. Implications for in Vivo Imaging Studiesa
Abstract
Abstract Alterations in serotonergic and noradrenergic receptor binding in membrane homogenates from the brain of suicide victims suggest a biological substrate for the vulnerability to commit suicide. We and others have employed high‐resolution quantitative autoradiography of full coronal sections of the prefrontal cortex to map the locus of maximal change in receptor binding. We found alternations in binding to the serotonin transporter, the 5‐HT 1A', and the 5‐HT 2A receptors primarily in the ventral and ventrolateral prefrontal cortex of suicide victims. Importantly, these changes are often modest in magnitude and anatomically restricted to one or two Brodmann areas. Furthermore, we have found that care in case selection is essential, because sex, age, drugs, and comorbid diagnoses contribute to receptor binding. The implications for in vivo imaging are considerable, directing the focus of such studies toward the ventrolateral prefrontal cortex. However, because ligands are limited, as is the resolution of current methods, including PET, automated analyses that produce statistical images, rather than manual selection of individual slices, will likely lack the ability to detect the discrete receptor changes found postmortem. Alternatively, the advantages of examining large numbers of subjects, imaging the entire brain, obtaining detailed clinical information in the living patient, and magnifying the changes with neuropharmacological challenges present a promising outlook for making major advances into the identification of brain abnormalities associated with suicide risk.
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Dombrovski and colleagues' finding of deficits in depressed attempters supports the notion that late life suicidal behavior is in some instances associated with impaired decision-making based on impaired ability to access and use prior experience, which may relate to underlying age-related ventral prefrontal pathology.
“Their finding of deficits in depressed attempters supports the notion that late life suicidal behavior is in some instances associated with impaired decision-making based on impaired ability to access and use prior experience, which in turn may be related to underlying age-related ventral prefrontal pathology (36).”
From Suicide in older adults (2011) · cites this paper as [36]
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- Authors
- ARANGO, V., UNDERWOOD, M. D., & MANN, J. J.
- Affiliations
- New York State Psychiatric Institute (US)
- Corresponding author
- ARANGO, VICTORIA
- Venue
- Annals of the New York Academy of Sciences
- Publisher
- Wiley
- Published
- 1997-12
- Volume
- 836
- Issue
- 1
- Pages
- 269-287
- ISSN
- 0077-8923 (ISSN-L)
- 1749-6632
- OpenAlex
- W1969768785
- Cited by
- 106
- References
- 77
- Citations by year
- 2025: 1 · 2024: 2 · 2022: 2 · 2021: 3 · 2020: 4 · 2019: 1 · 2018: 2 · 2017: 2 · 2016: 1 · 2015: 2 · 2014: 4 · 2013: 7 · 2012: 5
- FWCI
- 1.34
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Annals of the New York Academy of Sciences (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institute on Alcohol Abuse and Alcoholism (AA09004, R01AA009004)
- National Institute of Mental Health (MH46745, MH-40210, R01MH040210)
- Topics
- Social Sciences › Psychology › Clinical Psychology › Suicide and Self-Harm Studies
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neurotransmitter Receptor Influence on Behavior
- Health Sciences › Medicine › Pharmacology › Treatment of Major Depression
- Keywords
- suicide, postmortem brain, serotonin transporter, 5-HT1A receptor, 5-HT2A receptor, ventrolateral prefrontal cortex, suicide vulnerability, in vivo imaging, PET ligands, case selection
- MeSH terms
- Mental Disorders, Brain, Humans, Serotonin, Suicide, Tomography, Emission-Computed, Tomography, Emission-Computed, Single-Photon, Prefrontal Cortex
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.
What counts as a claim ›How we measure confidence ›How we check this ›
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