Diagnosis of bipolar disorders and body mass index predict clustering based on similarities in cortical thickness-ENIGMA study in 2436 individuals.

Journal: Bipolar disorders

Volume: 24

Issue: 5

Year of Publication: 2022

Affiliated Institutions:  Department of Psychiatry, Dalhousie University, Halifax, Nova Scotia, Canada. Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden. Vita-Salute San Raffaele University, Milan, Italy. Unit for Psychosomatics/CL Outpatient Clinic for Adults, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway. Hospital Clinic, University of Barcelona, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Barcelona, Spain. Department of Psychiatry, University of Münster, Münster, Germany. Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Marburg, Germany. FIDMAG Germanes Hospitalàries Research Foundation, Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Barcelona, Spain. Clinical Neuroimaging Laboratory, Centre for Neuroimaging & Cognitive Genomics (NICOG), NCBES Galway Neuroscience Centre, College of Medicine Nursing and Health Sciences, National University of Ireland Galway, Galway, Ireland. Research Group in Psychiatry GIPSI, Department of Psychiatry, Faculty of Medicine, Universidad de Antioquia, Medellín, Colombia. Norwegian Centre for Mental Disorders Research (NORMENT), Institute of Clinical Medicine, University of Oslo, Oslo, Norway. Department of Psychiatry, University of California, San Diego, La Jolla, California, USA. Neuroscience Research Australia, Randwick, New South Wales, Australia. Department of Psychiatry, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands. Neuroscience Institute, University of Cape Town, Cape Town, South Africa. Laureate Institute for Brain Research, Tulsa, Oklahoma, USA. Department of Neuroscience and Physiology, Sahlgrenska Academy at Gothenburg University, Gothenburg, Sweden. School of Psychiatry, University of New South Wales, Sydney, New South Wales, Australia. UCLA Center for Neurobehavioral Genetics, Los Angeles, California, USA. Research Group, Instituto de Alta Tecnología Médica, Ayudas Diagnósticas SURA, Medellin, Colombia. West Region, Institute of Mental Health, Singapore, Singapore. Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa. Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, California, USA. Department of Child and Adolescent Psychiatry and Psychology, Erasmus University Medical Center, Rotterdam, The Netherlands. University of British Columbia, Vancouver, British Columbia, Canada.

Abstract summary 

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.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.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.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.

Authors & Co-authors:  McWhinney Sean R SR Abé Christoph C Alda Martin M Benedetti Francesco F Bøen Erlend E Del Mar Bonnin Caterina C Borgers Tiana T Brosch Katharina K Canales-Rodríguez Erick J EJ Cannon Dara M DM Dannlowski Udo U Diaz-Zuluaga Ana M AM Dietze Lorielle L Elvsåshagen Torbjørn T Eyler Lisa T LT Fullerton Janice M JM Goikolea Jose M JM Goltermann Janik J Grotegerd Dominik D Haarman Bartholomeus C M BCM Hahn Tim T Howells Fleur M FM Ingvar Martin M Kircher Tilo T J TTJ Krug Axel A Kuplicki Rayus T RT Landén Mikael M Lemke Hannah H Liberg Benny B Lopez-Jaramillo Carlos C Malt Ulrik F UF Martyn Fiona M FM Mazza Elena E McDonald Colm C McPhilemy Genevieve G Meier Sandra S Meinert Susanne S Meller Tina T Melloni Elisa M T EMT Mitchell Philip B PB Nabulsi Leila L Nenadic Igor I Opel Nils N Ophoff Roel A RA Overs Bronwyn J BJ Pfarr Julia-Katharina JK Pineda-Zapata Julian A JA Pomarol-Clotet Edith E Raduà Joaquim J Repple Jonathan J Richter Maike M Ringwald Kai G KG Roberts Gloria G Ross Alex A Salvador Raymond R Savitz Jonathan J Schmitt Simon S Schofield Peter R PR Sim Kang K Stein Dan J DJ Stein Frederike F Temmingh Henk S HS Thiel Katharina K Thomopoulos Sophia I SI van Haren Neeltje E M NEM Van Gestel Holly H Vargas Cristian C Vieta Eduard E Vreeker Annabel A Waltemate Lena L Yatham Lakshmi N LN Ching Christopher R K CRK Andreassen Ole A OA Thompson Paul M PM Hajek Tomas T

Study Outcome 

Source Link: Visit source

Statistics
Citations :  James SL, Abate D, Abate KH, et al. Global, regional, and national incidence, prevalence, and years lived with disability for 354 Diseases and Injuries for 195 countries and territories, 1990–2017: A systematic analysis for the Global Burden of Disease Study 2017. The Lancet. 2018;392(10159):1789–1858. doi:10.1016/S0140-6736(18)32279-7
Authors :  76
Identifiers
Doi : 10.1111/bdi.13172
SSN : 1399-5618
Study Population
Male,Female
Mesh Terms
Bipolar Disorder
Other Terms
bipolar disorders;body mass index;cortical thickness;heterogeneity;obesity;surface area
Study Design
Case Control Trial,Cross Sectional Study
Study Approach
Country of Study
Publication Country
Denmark