Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Multicenter Study
. 2021 Sep 20;11(1):485.
doi: 10.1038/s41398-021-01598-y.

Individuals at increased risk for development of bipolar disorder display structural alterations similar to people with manifest disease

Affiliations
Multicenter Study

Individuals at increased risk for development of bipolar disorder display structural alterations similar to people with manifest disease

Pavol Mikolas et al. Transl Psychiatry. .

Abstract

In psychiatry, there has been a growing focus on identifying at-risk populations. For schizophrenia, these efforts have led to the development of early recognition and intervention measures. Despite a similar disease burden, the populations at risk of bipolar disorder have not been sufficiently characterized. Within the BipoLife consortium, we used magnetic resonance imaging (MRI) data from a multicenter study to assess structural gray matter alterations in N = 263 help-seeking individuals from seven study sites. We defined the risk using the EPIbipolar assessment tool as no-risk, low-risk, and high-risk and used a region-of-interest approach (ROI) based on the results of two large-scale multicenter studies of bipolar disorder by the ENIGMA working group. We detected significant differences in the thickness of the left pars opercularis (Cohen's d = 0.47, p = 0.024) between groups. The cortex was significantly thinner in high-risk individuals compared to those in the no-risk group (p = 0.011). We detected no differences in the hippocampal volume. Exploratory analyses revealed no significant differences in other cortical or subcortical regions. The thinner cortex in help-seeking individuals at risk of bipolar disorder is in line with previous findings in patients with the established disorder and corresponds to the region of the highest effect size in the ENIGMA study of cortical alterations. Structural alterations in prefrontal cortex might be a trait marker of bipolar risk. This is the largest structural MRI study of help-seeking individuals at increased risk of bipolar disorder.

PubMed Disclaimer

Conflict of interest statement

The authors declare no competing interests.

Figures

Fig. 1
Fig. 1. ROI-based analysis of cortical thickness by individuals at increased risk for development of bipolar disorder.
A Left inferior frontal gyrus—pars opercularis as defined by the Desikan−Killiany atlas. B Mean thickness of the left pars opercularis. The post hoc tests revealed a significantly thinner cortex of the left pars opercularis between no-risk and high-risk groups. The low-risk group tends to have lower thickness than the no-risk group, while having a greater thickness than the high-risk group. However, these differences were not significant. * denotes statistical significance at p = 0.012 (FDR-corrected). Error bars represent the 95% confidence intervals.

Similar articles

  • Prediction of estimated risk for bipolar disorder using machine learning and structural MRI features.
    Mikolas P, Marxen M, Riedel P, Bröckel K, Martini J, Huth F, Berndt C, Vogelbacher C, Jansen A, Kircher T, Falkenberg I, Lambert M, Kraft V, Leicht G, Mulert C, Fallgatter AJ, Ethofer T, Rau A, Leopold K, Bechdolf A, Reif A, Matura S, Bermpohl F, Fiebig J, Stamm T, Correll CU, Juckel G, Flasbeck V, Ritter P, Bauer M, Pfennig A. Mikolas P, et al. Psychol Med. 2024 Jan;54(2):278-288. doi: 10.1017/S0033291723001319. Epub 2023 May 22. Psychol Med. 2024. PMID: 37212052
  • Genetic risk for bipolar disorder and schizophrenia predicts structure and function of the ventromedial prefrontal cortex.
    Abé C, Petrovic P, Ossler W, Thompson WH, Liberg B, Song J, Bergen SE, Sellgren CM, Fransson P, Ingvar M, Landén M. Abé C, et al. J Psychiatry Neurosci. 2021 Jul 22;46(4):E441-E450. doi: 10.1503/jpn.200165. J Psychiatry Neurosci. 2021. PMID: 34291628 Free PMC article.
  • Cortical Volume and Thickness Across Bipolar Disorder Subtypes in Adolescents: A Preliminary Study.
    Toma S, Islam AH, Metcalfe AWS, Mitchell RHB, Fiksenbaum L, MacIntosh BJ, Goldstein BI. Toma S, et al. J Child Adolesc Psychopharmacol. 2019 Mar;29(2):141-151. doi: 10.1089/cap.2017.0137. Epub 2018 Oct 25. J Child Adolesc Psychopharmacol. 2019. PMID: 30359542
  • What we learn about bipolar disorder from large-scale neuroimaging: Findings and future directions from the ENIGMA Bipolar Disorder Working Group.
    Ching CRK, Hibar DP, Gurholt TP, Nunes A, Thomopoulos SI, Abé C, Agartz I, Brouwer RM, Cannon DM, de Zwarte SMC, Eyler LT, Favre P, Hajek T, Haukvik UK, Houenou J, Landén M, Lett TA, McDonald C, Nabulsi L, Patel Y, Pauling ME, Paus T, Radua J, Soeiro-de-Souza MG, Tronchin G, van Haren NEM, Vieta E, Walter H, Zeng LL, Alda M, Almeida J, Alnaes D, Alonso-Lana S, Altimus C, Bauer M, Baune BT, Bearden CE, Bellani M, Benedetti F, Berk M, Bilderbeck AC, Blumberg HP, Bøen E, Bollettini I, Del Mar Bonnin C, Brambilla P, Canales-Rodríguez EJ, Caseras X, Dandash O, Dannlowski U, Delvecchio G, Díaz-Zuluaga AM, Dima D, Duchesnay É, Elvsåshagen T, Fears SC, Frangou S, Fullerton JM, Glahn DC, Goikolea JM, Green MJ, Grotegerd D, Gruber O, Haarman BCM, Henry C, Howells FM, Ives-Deliperi V, Jansen A, Kircher TTJ, Knöchel C, Kramer B, Lafer B, López-Jaramillo C, Machado-Vieira R, MacIntosh BJ, Melloni EMT, Mitchell PB, Nenadic I, Nery F, Nugent AC, Oertel V, Ophoff RA, Ota M, Overs BJ, Pham DL, Phillips ML, Pineda-Zapata JA, Poletti S, Polosan M, Pomarol-Clotet E, Pouchon A, Quidé Y, Rive MM, Roberts G, Ruhe HG, Salvador R, Sarró S, Satterthwaite TD, Schene AH, Sim K, Soares JC, Stäblein M, Stein D… See abstract for full author list ➔ Ching CRK, et al. Hum Brain Mapp. 2022 Jan;43(1):56-82. doi: 10.1002/hbm.25098. Epub 2020 Jul 29. Hum Brain Mapp. 2022. PMID: 32725849 Free PMC article. Review.
  • Differentiating between bipolar and unipolar depression in functional and structural MRI studies.
    Han KM, De Berardis D, Fornaro M, Kim YK. Han KM, et al. Prog Neuropsychopharmacol Biol Psychiatry. 2019 Apr 20;91:20-27. doi: 10.1016/j.pnpbp.2018.03.022. Epub 2018 Mar 28. Prog Neuropsychopharmacol Biol Psychiatry. 2019. PMID: 29601896 Review.

Cited by

References

    1. Fusar-Poli P, Rutigliano G, Stahl D, Davies C, Bonoldi I, Reilly T, et al. Development and validation of a clinically based risk calculator for the transdiagnostic prediction of psychosis. JAMA Psychiatry. 2017;74:493–500. - PMC - PubMed
    1. Leopold K, Bauer M, Bechdolf A, Correll CU, Holtmann M, Juckel G, et al. Efficacy of cognitive‐behavioral group therapy in patients at risk for serious mental illness presenting with subthreshold bipolar symptoms: results from a prespecified interim analysis of a multicenter, randomized, controlled study. Bipolar Disord. 2020. 10.1111/bdi.12894. - PubMed
    1. Salazar de Pablo G, Catalan A, Fusar-Poli P. Clinical validity of DSM-5 attenuated psychosis syndrome: advances in diagnosis, prognosis, and treatment. JAMA Psychiatry. 2020;77:311–20. - PubMed
    1. Ferrari AJ, Stockings E, Khoo JP, Erskine HE, Degenhardt L, Vos T, et al. The prevalence and burden of bipolar disorder: findings from the Global Burden of Disease Study 2013. Bipolar Disord. 2016;18:440–50. - PubMed
    1. Faedda GL, Baldessarini RJ, Marangoni C, Bechdolf A, Berk M, Birmaher B, et al. An International Society of Bipolar Disorders task force report: precursors and prodromes of bipolar disorder. Bipolar Disord. 2019;21:720–40. - PubMed

Publication types