TY - JOUR
T1 - Diagnosis of bipolar disorders and body mass index predict clustering based on similarities in cortical thickness—ENIGMA study in 2436 individuals
AU - for the ENIGMA Bipolar Disorders Working Group
AU - McWhinney, Sean R.
AU - Abé, Christoph
AU - Alda, Martin
AU - Benedetti, Francesco
AU - Bøen, Erlend
AU - del Mar Bonnin, Caterina
AU - Borgers, Tiana
AU - Brosch, Katharina
AU - Canales-Rodríguez, Erick J.
AU - Cannon, Dara M.
AU - Dannlowski, Udo
AU - Diaz-Zuluaga, Ana M.
AU - Dietze, Lorielle
AU - Elvsåshagen, Torbjørn
AU - Eyler, Lisa T.
AU - Fullerton, Janice M.
AU - Goikolea, Jose M.
AU - Goltermann, Janik
AU - Grotegerd, Dominik
AU - Haarman, Bartholomeus C.M.
AU - Hahn, Tim
AU - Howells, Fleur M.
AU - Ingvar, Martin
AU - Kircher, Tilo T.J.
AU - Krug, Axel
AU - Kuplicki, Rayus T.
AU - Landén, Mikael
AU - Lemke, Hannah
AU - Liberg, Benny
AU - Lopez-Jaramillo, Carlos
AU - Malt, Ulrik F.
AU - Martyn, Fiona M.
AU - Mazza, Elena
AU - McDonald, Colm
AU - McPhilemy, Genevieve
AU - Meier, Sandra
AU - Meinert, Susanne
AU - Meller, Tina
AU - Melloni, Elisa M.T.
AU - Mitchell, Philip B.
AU - Nabulsi, Leila
AU - Nenadic, Igor
AU - Opel, Nils
AU - Ophoff, Roel A.
AU - Overs, Bronwyn J.
AU - Pfarr, Julia Katharina
AU - Pineda-Zapata, Julian A.
AU - Pomarol-Clotet, Edith
AU - Raduà, Joaquim
AU - Repple, Jonathan
AU - Richter, Maike
AU - Ringwald, Kai G.
AU - Roberts, Gloria
AU - Ross, Alex
AU - Salvador, Raymond
AU - Savitz, Jonathan
AU - Schmitt, Simon
AU - Schofield, Peter R.
AU - Sim, Kang
AU - Stein, Dan J.
AU - Stein, Frederike
AU - Temmingh, Henk S.
AU - Thiel, Katharina
AU - Thomopoulos, Sophia I.
AU - van Haren, Neeltje E.M.
AU - Van Gestel, Holly
AU - Vargas, Cristian
AU - Vieta, Eduard
AU - Vreeker, Annabel
AU - Waltemate, Lena
AU - Yatham, Lakshmi N.
AU - Ching, Christopher R.K.
AU - Andreassen, Ole A.
AU - Thompson, Paul M.
AU - Hajek, Tomas
N1 - Publisher Copyright:
© 2021 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.
PY - 2022/8
Y1 - 2022/8
N2 - 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.
AB - 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.
KW - bipolar disorders
KW - body mass index
KW - cortical thickness
KW - heterogeneity
KW - obesity
KW - surface area
UR - http://www.scopus.com/inward/record.url?scp=85121353908&partnerID=8YFLogxK
U2 - 10.1111/bdi.13172
DO - 10.1111/bdi.13172
M3 - Article
C2 - 34894200
AN - SCOPUS:85121353908
SN - 1398-5647
VL - 24
SP - 509
EP - 520
JO - Bipolar Disorders
JF - Bipolar Disorders
IS - 5
ER -