Larger putamen in individuals at risk and with manifest bipolar disorder

Research output: Contribution to journalResearch articleContributedpeer-review

Contributors

  • Florian Thomas-Odenthal - , University of Marburg, Justus Liebig University Giessen (Author)
  • Frederike Stein - , University of Marburg, Justus Liebig University Giessen (Author)
  • Christoph Vogelbacher - , Justus Liebig University Giessen, University of Marburg (Author)
  • Nina Alexander - , University of Marburg, Justus Liebig University Giessen (Author)
  • Andreas Bechdolf - , Vivantes Hospital at Urban , Charité – Universitätsmedizin Berlin (Author)
  • Felix Bermpohl - , Charité – Universitätsmedizin Berlin (Author)
  • Kyra Bröckel - , Department of Psychiatry and Psychotherapy, Technische Universität Dresden, Medical Faculty Carl Gustav Carus (Author)
  • Katharina Brosch - , University of Marburg, Justus Liebig University Giessen, Zucker Hillside Hospital, Feinstein Institutes for Medical Research (Author)
  • Christoph U. Correll - , Zucker Hillside Hospital, Charité – Universitätsmedizin Berlin, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Northwell Health System (Author)
  • Ulrika Evermann - , University of Marburg, Justus Liebig University Giessen (Author)
  • Irina Falkenberg - , University of Marburg, Justus Liebig University Giessen (Author)
  • Andreas Fallgatter - , University of Tübingen, German Center for Mental Health (DZPG) Partner Site Tübingen (Author)
  • Kira Flinkenflügel - , University of Münster (Author)
  • Dominik Grotegerd - , University of Münster (Author)
  • Tim Hahn - , University of Münster (Author)
  • Martin Hautzinger - , University of Tübingen (Author)
  • Andreas Jansen - , University of Marburg, Justus Liebig University Giessen (Author)
  • Georg Juckel - , Ruhr University Bochum (Author)
  • Axel Krug - , University of Bonn (Author)
  • Martin Lambert - , University of Hamburg (Author)
  • Gregor Leicht - , University of Hamburg (Author)
  • Karolina Leopold - , Department of Psychiatry and Psychotherapy, Technische Universität Dresden, Vivantes Hospital at Urban (Author)
  • Susanne Meinert - , University of Münster (Author)
  • Pavol Mikolas - , Department of Psychiatry and Psychotherapy, Technische Universität Dresden, Medical Faculty Carl Gustav Carus (Author)
  • Christoph Mulert - , University of Hamburg, Justus Liebig University Giessen (Author)
  • Igor Nenadić - , University of Marburg, Justus Liebig University Giessen (Author)
  • Julia Katharina Pfarr - , University of Marburg, Justus Liebig University Giessen (Author)
  • Andreas Reif - , University Hospital Frankfurt (Author)
  • Kai Ringwald - , University of Marburg, Justus Liebig University Giessen (Author)
  • Philipp Ritter - , Department of Psychiatry and Psychotherapy, Technische Universität Dresden, Medical Faculty Carl Gustav Carus (Author)
  • Thomas Stamm - , Charité – Universitätsmedizin Berlin, Brandenburg Medical School Theodor Fontane (Author)
  • Benjamin Straube - , University of Marburg, Justus Liebig University Giessen (Author)
  • Lea Teutenberg - , University of Marburg, Justus Liebig University Giessen (Author)
  • Katharina Thiel - , University of Münster (Author)
  • Paula Usemann - , University of Marburg, Justus Liebig University Giessen (Author)
  • Alexandra Winter - , University of Münster (Author)
  • Adrian Wroblewski - , University of Marburg, Justus Liebig University Giessen (Author)
  • Udo Dannlowski - , University of Münster (Author)
  • Michael Bauer - , Department of Psychiatry and Psychotherapy, Technische Universität Dresden, Medical Faculty Carl Gustav Carus (Author)
  • Andrea Pfennig - , Department of Psychiatry and Psychotherapy, Technische Universität Dresden, Medical Faculty Carl Gustav Carus (Author)
  • Tilo Kircher - , University of Marburg, Justus Liebig University Giessen (Author)

Abstract

Background: Individuals at risk for bipolar disorder (BD) have a wide range of genetic and non-genetic risk factors, like a positive family history of BD or (sub)threshold affective symptoms. Yet, it is unclear whether these individuals at risk and those diagnosed with BD share similar gray matter brain alterations. Methods: In 410 male and female participants aged 17-35 years, we compared gray matter volume (3T MRI) between individuals at risk for BD (as assessed using the EPIbipolar scale; n = 208), patients with a DSM-IV-TR diagnosis of BD (n = 87), and healthy controls (n = 115) using voxel-based morphometry in SPM12/CAT12. We applied conjunction analyses to identify similarities in gray matter volume alterations in individuals at risk and BD patients, relative to healthy controls. We also performed exploratory whole-brain analyses to identify differences in gray matter volume among groups. ComBat was used to harmonize imaging data from seven sites. Results: Both individuals at risk and BD patients showed larger volumes in the right putamen than healthy controls. Furthermore, individuals at risk had smaller volumes in the right inferior occipital gyrus, and BD patients had larger volumes in the left precuneus, compared to healthy controls. These findings were independent of course of illness (number of lifetime manic and depressive episodes, number of hospitalizations), comorbid diagnoses (major depressive disorder, attention-deficit hyperactivity disorder, anxiety disorder, eating disorder), familial risk, current disease severity (global functioning, remission status), and current medication intake. Conclusions: Our findings indicate that alterations in the right putamen might constitute a vulnerability marker for BD.

Details

Original languageEnglish
Pages (from-to)3071-3081
Number of pages11
JournalPsychological medicine
Issue number54
Publication statusE-pub ahead of print - 27 May 2024
Peer-reviewedYes

External IDs

ORCID /0000-0002-3415-5583/work/173055461
ORCID /0000-0002-2666-859X/work/173055597
ORCID /0000-0002-3974-7115/work/173055669

Keywords

Sustainable Development Goals

Keywords

  • bipolar disorder, gray matter volume, magnetic resonance imaging, putamen, risk factor, voxel-based morphometry