Ivy Lee1, Kathryn Nielsen2, Uzma Nawaz1, Mei-Hua Hall3, Dost Öngür3, Matcheri Keshavan1, Roscoe Brady4. 1. Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston, MA, USA; Department of Psychiatry, Harvard Medical School, Boston, MA, USA. 2. Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston, MA, USA; Schizophrenia and Bipolar Disorder Program, McLean Hospital, Belmont, MA, USA. 3. Department of Psychiatry, Harvard Medical School, Boston, MA, USA; Schizophrenia and Bipolar Disorder Program, McLean Hospital, Belmont, MA, USA. 4. Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston, MA, USA; Department of Psychiatry, Harvard Medical School, Boston, MA, USA; Schizophrenia and Bipolar Disorder Program, McLean Hospital, Belmont, MA, USA. Electronic address: robrady@bidmc.harvard.edu.
Abstract
BACKGROUND: Neuroimaging of psychiatric disease is challenged by the difficulty of establishing the causal role of neuroimaging abnormalities. Lesions that cause mania present a unique opportunity to understand how brain network disruption may cause mania in both lesions and in bipolar disorder. METHODS: A literature search revealed 23 case reports with imaged lesions that caused mania in patients without history of bipolar disorder. We traced these lesions and examined resting-state functional Magnetic Resonance Imaging (rsfMRI) connectivity to these lesions and control lesions to find networks that would be disrupted specifically by mania-causing lesions. The results were then used as regions-of-interest to examine rsfMRI connectivity in patients with bipolar disorder (n = 16) who underwent imaging longitudinally across states of both mania and euthymia alongside a cohort of healthy participants scanned longitudinally. We then sought to replicate these results in independent cohorts of manic (n = 26) and euthymic (n = 21) participants with bipolar disorder. RESULTS: Mania-inducing lesions overlap significantly in network connectivity. Mania-causing lesions selectively disrupt networks that include orbitofrontal cortex, dorsolateral prefrontal cortex, and temporal lobes. In bipolar disorder, the manic state was reflected in strong, significant, and specific disruption in network communication between these regions and regions implicated in bipolar pathophysiology: the amygdala and ventro-lateral prefrontal cortex. LIMITATIONS: There was heterogeneity in the clinical characterization of mania causing lesions. CONCLUSIONS: Lesions causing mania demonstrate shared and specific network disruptions. These disruptions are also observed in bipolar mania and suggest a convergence of multiple disorders on shared circuit dysfunction to cause mania.
BACKGROUND:Neuroimaging of psychiatric disease is challenged by the difficulty of establishing the causal role of neuroimaging abnormalities. Lesions that cause mania present a unique opportunity to understand how brain network disruption may cause mania in both lesions and in bipolar disorder. METHODS: A literature search revealed 23 case reports with imaged lesions that caused mania in patients without history of bipolar disorder. We traced these lesions and examined resting-state functional Magnetic Resonance Imaging (rsfMRI) connectivity to these lesions and control lesions to find networks that would be disrupted specifically by mania-causing lesions. The results were then used as regions-of-interest to examine rsfMRI connectivity in patients with bipolar disorder (n = 16) who underwent imaging longitudinally across states of both mania and euthymia alongside a cohort of healthy participants scanned longitudinally. We then sought to replicate these results in independent cohorts of manic (n = 26) and euthymic (n = 21) participants with bipolar disorder. RESULTS:Mania-inducing lesions overlap significantly in network connectivity. Mania-causing lesions selectively disrupt networks that include orbitofrontal cortex, dorsolateral prefrontal cortex, and temporal lobes. In bipolar disorder, the manic state was reflected in strong, significant, and specific disruption in network communication between these regions and regions implicated in bipolar pathophysiology: the amygdala and ventro-lateral prefrontal cortex. LIMITATIONS: There was heterogeneity in the clinical characterization of mania causing lesions. CONCLUSIONS: Lesions causing mania demonstrate shared and specific network disruptions. These disruptions are also observed in bipolar mania and suggest a convergence of multiple disorders on shared circuit dysfunction to cause mania.
Authors: Susan B Perlman; Jorge R C Almeida; Dina M Kronhaus; Amelia Versace; Edmund J Labarbara; Crystal R Klein; Mary L Phillips Journal: Bipolar Disord Date: 2012-03 Impact factor: 6.744
Authors: Jerome Mertens; Qiu-Wen Wang; Yongsung Kim; Diana X Yu; Son Pham; Bo Yang; Yi Zheng; Kenneth E Diffenderfer; Jian Zhang; Sheila Soltani; Tameji Eames; Simon T Schafer; Leah Boyer; Maria C Marchetto; John I Nurnberger; Joseph R Calabrese; Ketil J Ødegaard; Michael J McCarthy; Peter P Zandi; Martin Alda; Martin Alba; Caroline M Nievergelt; Shuangli Mi; Kristen J Brennand; John R Kelsoe; Fred H Gage; Jun Yao Journal: Nature Date: 2015-10-28 Impact factor: 49.962
Authors: L Ian Schmitt; Ralf D Wimmer; Miho Nakajima; Michael Happ; Sima Mofakham; Michael M Halassa Journal: Nature Date: 2017-05-03 Impact factor: 49.962
Authors: Julia Scholly; Adrien Gras; Maxime Guye; Mathias Bilger; Maria Paola Valenti Hirsch; Edouard Hirsch; Alexander Timofeev; Pierre Vidailhet; Christian G Bénar; Fabrice Bartolomei Journal: Brain Topogr Date: 2022-09-07 Impact factor: 4.275
Authors: Gonçalo Cotovio; Daniel Talmasov; J Bernardo Barahona-Corrêa; Joey Hsu; Suhan Senova; Ricardo Ribeiro; Louis Soussand; Ana Velosa; Vera Cruz E Silva; Natalia Rost; Ona Wu; Alexander L Cohen; Albino J Oliveira-Maia; Michael D Fox Journal: J Clin Invest Date: 2020-10-01 Impact factor: 14.808
Authors: Na Young Kim; Joey Hsu; Daniel Talmasov; Juho Joutsa; Louis Soussand; Ona Wu; Natalia S Rost; Estrella Morenas-Rodríguez; Joan Martí-Fàbregas; Alvaro Pascual-Leone; Philip R Corlett; Michael D Fox Journal: Mol Psychiatry Date: 2019-10-28 Impact factor: 15.992