Diagnosis of bipolar disorders and body mass index predict clustering based on similarities in cortical thickness—ENIGMA study in 2436 individuals. (16th December 2021)
- Record Type:
- Journal Article
- Title:
- Diagnosis of bipolar disorders and body mass index predict clustering based on similarities in cortical thickness—ENIGMA study in 2436 individuals. (16th December 2021)
- Main Title:
- Diagnosis of bipolar disorders and body mass index predict clustering based on similarities in cortical thickness—ENIGMA study in 2436 individuals
- Authors:
- McWhinney, Sean R.
Abé, Christoph
Alda, Martin
Benedetti, Francesco
Bøen, Erlend
del Mar Bonnin, Caterina
Borgers, Tiana
Brosch, Katharina
Canales‐Rodríguez, Erick J.
Cannon, Dara M.
Dannlowski, Udo
Diaz‐Zuluaga, Ana M.
Dietze, Lorielle
Elvsåshagen, Torbjørn
Eyler, Lisa T.
Fullerton, Janice M.
Goikolea, Jose M.
Goltermann, Janik
Grotegerd, Dominik
Haarman, Bartholomeus C. M.
Hahn, Tim
Howells, Fleur M.
Ingvar, Martin
Kircher, Tilo T. J.
Krug, Axel
Kuplicki, Rayus T.
Landén, Mikael
Lemke, Hannah
Liberg, Benny
Lopez‐Jaramillo, Carlos
Malt, Ulrik F.
Martyn, Fiona M.
Mazza, Elena
McDonald, Colm
McPhilemy, Genevieve
Meier, Sandra
Meinert, Susanne
Meller, Tina
Melloni, Elisa M. T.
Mitchell, Philip B.
Nabulsi, Leila
Nenadic, Igor
Opel, Nils
Ophoff, Roel A.
Overs, Bronwyn J.
Pfarr, Julia‐Katharina
Pineda‐Zapata, Julian A.
Pomarol‐Clotet, Edith
Raduà, Joaquim
Repple, Jonathan
Richter, Maike
Ringwald, Kai G.
Roberts, Gloria
Ross, Alex
Salvador, Raymond
Savitz, Jonathan
Schmitt, Simon
Schofield, Peter R.
Sim, Kang
Stein, Dan J.
Stein, Frederike
Temmingh, Henk S.
Thiel, Katharina
Thomopoulos, Sophia I.
van Haren, Neeltje E. M.
Van Gestel, Holly
Vargas, Cristian
Vieta, Eduard
Vreeker, Annabel
Waltemate, Lena
Yatham, Lakshmi N.
Ching, Christopher R. K.
Andreassen, Ole A.
Thompson, Paul M.
Hajek, Tomas
… (more) - Abstract:
- Abstract: 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 amongAbstract: 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. … (more)
- Is Part Of:
- Bipolar disorders. Volume 24:Number 5(2022)
- Journal:
- Bipolar disorders
- Issue:
- Volume 24:Number 5(2022)
- Issue Display:
- Volume 24, Issue 5 (2022)
- Year:
- 2022
- Volume:
- 24
- Issue:
- 5
- Issue Sort Value:
- 2022-0024-0005-0000
- Page Start:
- 509
- Page End:
- 520
- Publication Date:
- 2021-12-16
- Subjects:
- bipolar disorders -- body mass index -- cortical thickness -- heterogeneity -- obesity -- surface area
Manic-depressive illness -- Periodicals
Depression, Mental -- Periodicals
616.895 - Journal URLs:
- http://www.blackwellpublishing.com/journal.asp?ref=1398-5647&site=1 ↗
http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1399-5618 ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1111/bdi.13172 ↗
- Languages:
- English
- ISSNs:
- 1398-5647
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 2090.475000
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 23295.xml