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Bipolar Disorders
Article . 2021
License: taverne
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Bipolar Disorders
Article . 2021 . Peer-reviewed
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Diagnosis of bipolar disorders and body mass index predict clustering based on similarities in cortical thickness - ENIGMA study in 2 436 individuals

ENIGMA study in 2436 individuals
Authors: McWhinney, Sean R.; Abé, Christoph; Alda, Martin; Benedetti, Francesco; Bøen, Erlend; del Mar Bonnin, Caterina; Borgers, Tiana; +68 Authors

Diagnosis of bipolar disorders and body mass index predict clustering based on similarities in cortical thickness - ENIGMA study in 2 436 individuals

Abstract

AbstractAimsRates of obesity have reached epidemic proportions, especially among people with psychiatric disorders. While the effects of obesity on the brain are of major interest in medicine, they remain markedly under‐researched in psychiatry.MethodsWe obtained body mass index (BMI) and magnetic resonance imaging‐derived regional cortical thickness, surface area from 836 bipolar disorders (BD) and 1600 control individuals from 14 sites within the ENIGMA‐BD Working Group. We identified regionally specific profiles of cortical thickness using K‐means clustering and studied clinical characteristics associated with individual cortical profiles.ResultsWe detected two clusters based on similarities among participants in cortical thickness. The lower thickness cluster (46.8% of the sample) showed thinner cortex, especially in the frontal and temporal lobes and was associated with diagnosis of BD, higher BMI, and older age. BD individuals in the low thickness cluster were more likely to have the diagnosis of bipolar disorder I and less likely to be treated with lithium. In contrast, clustering based on similarities in the cortical surface area was unrelated to BD or BMI and only tracked age and sex.ConclusionsWe provide evidence that both BD and obesity are associated with similar alterations in cortical thickness, but not surface area. The fact that obesity increased the chance of having low cortical thickness could explain differences in cortical measures among people with BD. The thinner cortex in individuals with higher BMI, which was additive and similar to the BD‐associated alterations, may suggest that treating obesity could lower the extent of cortical thinning in BD.

Countries
Italy, Netherlands, United States
Keywords

obesity, Bipolar Disorder, body mass index, Body Mass Index, SDG 3 - Good Health and Well-being, SCHIZOPHRENIA, Cluster Analysis, Humans, Obesity, BRAIN, Body mass index, GRAY-MATTER VOLUME, METABOLIC SYNDROME, MAJOR DEPRESSIVE DISORDER, INSULIN-RESISTANCE, ABNORMALITIES, 1ST-EPISODE, heterogeneit, surface area, cortical thickness, Magnetic Resonance Imaging, Temporal Lobe, bipolar disorders, OBESITY, WHITE, heterogeneity

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    8
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
8
Top 10%
Average
Top 10%
Green
hybrid