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Diagnosis of bipolar disorders and body mass index predict clustering based on similarities in cortical thickness-ENIGMA study in 2436 individuals
SR. McWhinney, C. Abé, M. Alda, F. Benedetti, E. Bøen, C. Del Mar Bonnin, T. Borgers, K. Brosch, EJ. Canales-Rodríguez, DM. Cannon, U. Dannlowski, AM. Diaz-Zuluaga, L. Dietze, T. Elvsåshagen, LT. Eyler, JM. Fullerton, JM. Goikolea, J. Goltermann,...
Language English Country Denmark
Document type Journal Article, Research Support, Non-U.S. Gov't, Research Support, N.I.H., Extramural
Grant support
T32 AG058507
NIA NIH HHS - United States
U54 EB020403
NIBIB NIH HHS - United States
P20 GM121312
NIGMS NIH HHS - United States
R21 MH113871
NIMH NIH HHS - United States
R01 MH090553
NIMH NIH HHS - United States
PubMed
34894200
DOI
10.1111/bdi.13172
Knihovny.cz E-resources
- MeSH
- Bipolar Disorder * diagnosis MeSH
- Body Mass Index MeSH
- Humans MeSH
- Magnetic Resonance Imaging MeSH
- Obesity complications diagnostic imaging MeSH
- Cluster Analysis MeSH
- Temporal Lobe pathology MeSH
- Check Tag
- Humans MeSH
- Publication type
- Journal Article MeSH
- Research Support, Non-U.S. Gov't MeSH
- Research Support, N.I.H., Extramural MeSH
AIMS: Rates 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. METHODS: We 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. RESULTS: We 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. CONCLUSIONS: We 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.
Department of Clinical Neuroscience Karolinska Institutet Stockholm Sweden
Department of Medical Epidemiology and Biostatistics Karolinska Institutet Stockholm Sweden
Department of Neurology Institute of Clinical Medicine University of Oslo Oslo Norway
Department of Psychiatry and Mental Health University of Cape Town Cape Town South Africa
Department of Psychiatry and Psychotherapy Philipps University Marburg Marburg Germany
Department of Psychiatry and Psychotherapy University of Bonn Bonn Germany
Department of Psychiatry Dalhousie University Halifax Nova Scotia Canada
Department of Psychiatry Erasmus University Medical Center Rotterdam The Netherlands
Department of Psychiatry University of California San Diego La Jolla California USA
Department of Psychiatry University of Münster Münster Germany
Desert Pacific MIRECC VA San Diego Healthcare San Diego California USA
Division of Clinical Neuroscience Department of Neurology Oslo University Hospital Oslo Norway
Institute of Clinical Medicine University of Oslo Oslo Norway
Institute of Psychiartry King's College London London UK
Laureate Institute for Brain Research Tulsa Oklahoma USA
National Institute of Mental Health Klecany Czech Republic
Neuroscience Institute University of Cape Town Cape Town South Africa
Neuroscience Research Australia Randwick New South Wales Australia
Oxley College of Health Sciences The University of Tulsa Tulsa Oklahoma USA
Research Group Instituto de Alta Tecnología Médica Ayudas Diagnósticas SURA Medellin Colombia
School of Medical Sciences University of New South Wales Sydney New South Wales Australia
School of Psychiatry University of New South Wales Sydney New South Wales Australia
UCLA Center for Neurobehavioral Genetics Los Angeles California USA
University of British Columbia Vancouver British Columbia Canada
Vita Salute San Raffaele University Milan Italy
West Region Institute of Mental Health Singapore Singapore
Yong Loo Lin School of Medicine National University of Singapore Singapore Singapore
References provided by Crossref.org
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