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Thiel K, Lemke H, Winter A, Flinkenflügel K, Waltemate L, Bonnekoh L, Grotegerd D, Dohm K, Hahn T, Förster K, Kanske P, Repple J, Opel N, Redlich R, David F, Forstner AJ, Stein F, Brosch K, Thomas-Odenthal F, Usemann P, Teutenberg L, Straube B, Alexander N, Jamalabadi H, Jansen A, Witt SH, Andlauer TFM, Pfennig A, Bauer M, Nenadić I, Kircher T, Meinert S, Dannlowski U. White and gray matter alterations in bipolar I and bipolar II disorder subtypes compared with healthy controls - exploring associations with disease course and polygenic risk. Neuropsychopharmacology 2024; 49:814-823. [PMID: 38332015 PMCID: PMC10948847 DOI: 10.1038/s41386-024-01812-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/19/2023] [Revised: 12/28/2023] [Accepted: 01/21/2024] [Indexed: 02/10/2024]
Abstract
Patients with bipolar disorder (BD) show alterations in both gray matter volume (GMV) and white matter (WM) integrity compared with healthy controls (HC). However, it remains unclear whether the phenotypically distinct BD subtypes (BD-I and BD-II) also exhibit brain structural differences. This study investigated GMV and WM differences between HC, BD-I, and BD-II, along with clinical and genetic associations. N = 73 BD-I, n = 63 BD-II patients and n = 136 matched HC were included. Using voxel-based morphometry and tract-based spatial statistics, main effects of group in GMV and fractional anisotropy (FA) were analyzed. Associations between clinical and genetic features and GMV or FA were calculated using regression models. For FA but not GMV, we found significant differences between groups. BD-I patients showed lower FA compared with BD-II patients (ptfce-FWE = 0.006), primarily in the anterior corpus callosum. Compared with HC, BD-I patients exhibited lower FA in widespread clusters (ptfce-FWE < 0.001), including almost all major projection, association, and commissural fiber tracts. BD-II patients also demonstrated lower FA compared with HC, although less pronounced (ptfce-FWE = 0.049). The results remained unchanged after controlling for clinical and genetic features, for which no independent associations with FA or GMV emerged. Our findings suggest that, at a neurobiological level, BD subtypes may reflect distinct degrees of disease expression, with increasing WM microstructure disruption from BD-II to BD-I. This differential magnitude of microstructural alterations was not clearly linked to clinical and genetic variables. These findings should be considered when discussing the classification of BD subtypes within the spectrum of affective disorders.
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Affiliation(s)
- Katharina Thiel
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Hannah Lemke
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Alexandra Winter
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Kira Flinkenflügel
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Lena Waltemate
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
- Translational Psychotherapy, Institute of Psychology, University of Göttingen, Göttingen, Germany
| | - Linda Bonnekoh
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Dominik Grotegerd
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Katharina Dohm
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Tim Hahn
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Katharina Förster
- Clinical Psychology and Behavioral Neuroscience, Faculty of Psychology, Technische Universität Dresden, Dresden, Germany
| | - Philipp Kanske
- Clinical Psychology and Behavioral Neuroscience, Faculty of Psychology, Technische Universität Dresden, Dresden, Germany
| | - Jonathan Repple
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
- Department for Psychiatry, Psychosomatic Medicine and Psychotherapy, University Hospital Frankfurt, Goethe University, Frankfurt, Germany
| | - Nils Opel
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
- Department of Psychiatry, Jena University Hospital/Friedrich-Schiller-University Jena, Jena, Germany
- German Center for Mental Health (DZPG), Halle-Jena-Magdeburg, Germany
| | - Ronny Redlich
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
- German Center for Mental Health (DZPG), Halle-Jena-Magdeburg, Germany
- Department of Psychology, University of Halle, Halle, Germany
- Center for Intervention and Research on adaptive and maladaptive brain circuits underlying mental health (C-I-R-C), Jena-Magdeburg-Halle, Halle, Germany
| | - Friederike David
- Institute of Human Genetics, University of Bonn, School of Medicine & University Hospital Bonn, Bonn, Germany
| | - Andreas J Forstner
- Institute of Human Genetics, University of Bonn, School of Medicine & University Hospital Bonn, Bonn, Germany
- Institute of Neuroscience and Medicine (INM-1), Research Center Jülich, Jülich, Germany
| | - Frederike Stein
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany
- Center for Mind, Brain and Behavior (CMBB), University of Marburg, Marburg, Germany
| | - Katharina Brosch
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany
- Center for Mind, Brain and Behavior (CMBB), University of Marburg, Marburg, Germany
| | - Florian Thomas-Odenthal
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany
- Center for Mind, Brain and Behavior (CMBB), University of Marburg, Marburg, Germany
| | - Paula Usemann
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany
- Center for Mind, Brain and Behavior (CMBB), University of Marburg, Marburg, Germany
| | - Lea Teutenberg
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany
- Center for Mind, Brain and Behavior (CMBB), University of Marburg, Marburg, Germany
| | - Benjamin Straube
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany
- Center for Mind, Brain and Behavior (CMBB), University of Marburg, Marburg, Germany
| | - Nina Alexander
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany
- Center for Mind, Brain and Behavior (CMBB), University of Marburg, Marburg, Germany
| | - Hamidreza Jamalabadi
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany
- Center for Mind, Brain and Behavior (CMBB), University of Marburg, Marburg, Germany
| | - Andreas Jansen
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany
- Center for Mind, Brain and Behavior (CMBB), University of Marburg, Marburg, Germany
- Core-Facility Brainimaging, Faculty of Medicine, University of Marburg, Marburg, Germany
| | - Stephanie H Witt
- Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Till F M Andlauer
- Department of Neurology, Klinikum rechts der Isar, School of Medicine, Technical University of Munich, Munich, Germany
| | - Andrea Pfennig
- Department of Psychiatry and Psychotherapy, Faculty of Medicine, TU Dresden University of Technology, Dresden, Germany
| | - Michael Bauer
- Department of Psychiatry and Psychotherapy, Faculty of Medicine, TU Dresden University of Technology, Dresden, Germany
| | - Igor Nenadić
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany
- Center for Mind, Brain and Behavior (CMBB), University of Marburg, Marburg, Germany
| | - Tilo Kircher
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany
- Center for Mind, Brain and Behavior (CMBB), University of Marburg, Marburg, Germany
| | - Susanne Meinert
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
- Institute of Translational Neuroscience, University of Münster, Münster, Germany
| | - Udo Dannlowski
- Institute for Translational Psychiatry, University of Münster, Münster, Germany.
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2
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Carroll AL, Damme KS, Alloy LB, Bart CP, Ng TH, Titone MK, Chein J, Cichocki AC, Armstrong CC, Nusslock R. Risk for bipolar spectrum disorders associated with positive urgency and orbitofrontal cortical grey matter volume. Neuroimage Clin 2022; 36:103225. [PMID: 36242853 PMCID: PMC9668630 DOI: 10.1016/j.nicl.2022.103225] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2022] [Revised: 10/03/2022] [Accepted: 10/08/2022] [Indexed: 11/07/2022]
Abstract
Bipolar spectrum disorders (BSDs) are associated with reward hypersensitivity, impulsivity, and structural abnormalities within the brain's reward system. Using a behavioral high-risk study design based on reward sensitivity, this paper had two primary objectives: 1) investigate whether elevated positive urgency, the tendency to act rashly when experiencing extreme positive affect, is a risk for or correlate of BSDs, and 2) examine the nature of the relationship between positive urgency and grey matter volume in fronto-striatal reward regions, among individuals at differential risk for BSD. Young adults (ages 18-28) screened to be moderately reward sensitive (MReward; N = 42), highly reward sensitive (HReward; N = 48), or highly reward sensitive with a lifetime BSD (HReward + BSD; N = 32) completed a structural MRI scan and the positive urgency subscale of the UPPS-P scale. Positive urgency scores varied with BSD risk (MReward < HReward < HReward + BSD; ps≤0.05), and positive urgency interacted with BSD risk group in predicting lateral OFC volume (p <.001). Specifically, the MReward group showed a negative relationship between positive urgency and lateral OFC volume. By contrast, there was no relationship between positive urgency and lateral OFC grey matter volume among the HReward and HReward + BSD groups. The results suggest that heightened trait positive urgency is a pre-existing vulnerability for BSD that worsens with illness onset, and there is a distinct relationship between positive urgency and lateral OFC volume among individuals at high versus low risk for BSD. These findings have implications for understanding the expression and development of impulsivity in BSDs.
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Affiliation(s)
- Ann L. Carroll
- Department of Psychology, Northwestern University, Evanston IL, United States,Corresponding author at: Northwestern University, Department of Psychology, Swift Hall, 2029 Sheridan Road, Evanston, IL 60208, United States.
| | - Katherine S.F. Damme
- Department of Psychology, Northwestern University, Evanston IL, United States,Institute for Innovation in Developmental Sciences, Chicago IL, United States
| | - Lauren B. Alloy
- Department of Psychology and Neuroscience, Temple University, Philadelphia PA, United States
| | - Corinne P. Bart
- Department of Psychology and Neuroscience, Temple University, Philadelphia PA, United States
| | - Tommy H. Ng
- Department of Psychology and Neuroscience, Temple University, Philadelphia PA, United States
| | - Madison K. Titone
- Department of Psychology and Neuroscience, Temple University, Philadelphia PA, United States
| | - Jason Chein
- Department of Psychology and Neuroscience, Temple University, Philadelphia PA, United States
| | - Anna C. Cichocki
- Department of Psychology, Northwestern University, Evanston IL, United States
| | - Casey C. Armstrong
- Department of Psychology, Northwestern University, Evanston IL, United States
| | - Robin Nusslock
- Department of Psychology, Northwestern University, Evanston IL, United States,Institute for Policy Research, Northwestern University, Evanston IL, United States
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3
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Zhang S, Wang Y, Zheng S, Seger C, Zhong S, Huang H, Hu H, Chen G, Chen L, Jia Y, Huang L, Huang R. Multimodal MRI reveals alterations of the anterior insula and posterior cingulate cortex in bipolar II disorders: A surface-based approach. Prog Neuropsychopharmacol Biol Psychiatry 2022; 116:110533. [PMID: 35151795 DOI: 10.1016/j.pnpbp.2022.110533] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/01/2021] [Revised: 11/29/2021] [Accepted: 02/05/2022] [Indexed: 10/19/2022]
Abstract
BACKGROUND Bipolar disorder (BD) is a mental disorder with severe implications for those affected and their families. Previous studies detected brain structural and functional alterations in BD patients. However, very few studies conducted a multimodal MRI fusion analysis, and little is known about the role of common anomalies in the connectivity of BD. METHODS We collected sMRI, rs-fMRI, and DTI data from 56 patients with unmedicated BD-II depression and 72 age-, sex- and handedness-matched healthy controls. We applied data-driven approaches to analyze multimodal MRI data and detected brain areas with significant group differences in cortical thickness (CT), amplitude of low frequency fluctuations (ALFF), and fractional anisotropy (FA) of the superficial white matter. We observed the common abnormal areas and took these areas as seeds to analyze the resting-state functional connectivity (RSFC) patterns in BD patients by overlapping these abnormal areas. RESULTS The BD patients showed two common abnormal areas: (1) the left anterior insula (AI) with abnormal CT and FA, and (2) the left posterior cingulate cortex (PCC) with abnormal CT and ALFF. Seed-based analyses showed RSFC between the left AI and left occipital sensory cortex, the left AI and left superior and inferior parietal cortex, and the left PCC and right medial prefrontal cortex were uniformly lower in the BD patients than controls. Correlation analyses showed negative correction between AI's FA and disease episodes and between AI's FA and disease duration in depressed BD-II patients. CONCLUSIONS We observed abnormal brain structural and functional properties in the left AI and left PCC in BD patients. The abnormal RSFC patterns may suggest sensory and cognitive dysfunction in BD.
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Affiliation(s)
- Shufei Zhang
- School of Psychology, Center for the Study of Applied Psychology, Key Laboratory of Mental Health and Cognitive Science of Guangdong Province, South China Normal University, Guangzhou 510631, China
| | - Ying Wang
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou 510630, China.
| | - Senning Zheng
- School of Psychology, Center for the Study of Applied Psychology, Key Laboratory of Mental Health and Cognitive Science of Guangdong Province, South China Normal University, Guangzhou 510631, China
| | - Carol Seger
- School of Psychology, Center for the Study of Applied Psychology, Key Laboratory of Mental Health and Cognitive Science of Guangdong Province, South China Normal University, Guangzhou 510631, China; Department of Psychology and Program in Molecular, Cellular, and Integrative Neuroscience, Colorado State University, Fort Collins, CO 80523, USA
| | - Shuming Zhong
- Department of Psychiatry, First Affiliated Hospital of Jinan University, Guangzhou 510630, China
| | - Huiyuan Huang
- School of Psychology, Center for the Study of Applied Psychology, Key Laboratory of Mental Health and Cognitive Science of Guangdong Province, South China Normal University, Guangzhou 510631, China
| | - Huiqing Hu
- School of Psychology, Center for the Study of Applied Psychology, Key Laboratory of Mental Health and Cognitive Science of Guangdong Province, South China Normal University, Guangzhou 510631, China
| | - Guanmao Chen
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou 510630, China
| | - Lixiang Chen
- School of Psychology, Center for the Study of Applied Psychology, Key Laboratory of Mental Health and Cognitive Science of Guangdong Province, South China Normal University, Guangzhou 510631, China
| | - Yanbin Jia
- Department of Psychiatry, First Affiliated Hospital of Jinan University, Guangzhou 510630, China
| | - Li Huang
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou 510630, China
| | - Ruiwang Huang
- School of Psychology, Center for the Study of Applied Psychology, Key Laboratory of Mental Health and Cognitive Science of Guangdong Province, South China Normal University, Guangzhou 510631, China.
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4
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Damme KSF, Alloy LB, Kelley NJ, Carroll A, Young CB, Chein J, Ng TH, Titone MK, Bart CP, Nusslock R. Bipolar spectrum disorders are associated with increased gray matter volume in the medial orbitofrontal cortex and nucleus accumbens. JCPP ADVANCES 2022; 2:e12068. [PMID: 36714682 PMCID: PMC9879263 DOI: 10.1002/jcv2.12068] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2021] [Accepted: 01/07/2022] [Indexed: 02/02/2023] Open
Abstract
Objective Elevated sensitivity to rewards prospectively predicts Bipolar Spectrum Disorder (BSD) onset; however, it is unclear whether volumetric abnormalities also reflect BSD risk. BSDs emerge when critical neurodevelopment in frontal and striatal regions occurs in sex-specific ways. The current paper examined the volume of frontal and striatal brain regions in both individuals with and at risk for a BSD with exploratory analyses examining sex-specificity. Methods One hundred fourteen medication-free individuals ages 18-27 at low-risk for BSD (moderate-reward sensitivity; N = 37), at high-risk without a BSD (high-reward sensitivity; N = 47), or with a BSD (N = 30) completed a structural MRI scan of the brain. We examined group differences in gray matter volume in a priori medial orbitofrontal cortex (mOFC) and nucleus accumbens (NAcc) regions-of-interest. Results The BSD group had enlarged frontostriatal volumes (mOFC, NAcc) compared to low individuals (d = 1.01). The mOFC volume in BSD was larger than low-risk (d = 1.01) and the high-risk groups (d = 0.74). This effect was driven by males with a BSD, who showed an enlarged mOFC compared to low (d = 1.01) and high-risk males (d = 0.74). Males with a BSD also showed a greater NAcc volume compared to males at low-risk (d = 0.49), but not high-risk males. Conclusions An enlarged frontostriatal volume (averaged mOFC, NAcc) is associated with the presence of a BSD, while subvolumes (mOFC vs. NAcc) showed unique patterning in relation to risk. We report preliminary evidence that sex moderates frontostriatal volume in BSD, highlighting the need for larger longitudinal risk studies examining the role of sex-specific neurodevelopmental trajectories in emerging BSDs.
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Affiliation(s)
| | - Lauren B. Alloy
- Department of PsychologyTemple UniversityPhiladelphiaPennsylvaniaUSA
| | | | - Ann Carroll
- Department of PsychologyNorthwestern UniversityEvanstonIllinoisUSA
| | | | - Jason Chein
- Department of PsychologyTemple UniversityPhiladelphiaPennsylvaniaUSA
| | - Tommy H. Ng
- Department of PsychologyTemple UniversityPhiladelphiaPennsylvaniaUSA
| | - Madison K. Titone
- Department of PsychologyTemple UniversityPhiladelphiaPennsylvaniaUSA
| | - Corinne P. Bart
- Department of PsychologyTemple UniversityPhiladelphiaPennsylvaniaUSA
| | - Robin Nusslock
- Department of PsychologyNorthwestern UniversityEvanstonIllinoisUSA
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Sultan AA, Hird MA, Dimick MK, MacIntosh BJ, Goldstein BI. Cannabis use and resting state functional connectivity in adolescent bipolar disorder. J Psychiatry Neurosci 2021; 46:E559-E567. [PMID: 34625488 PMCID: PMC8526158 DOI: 10.1503/jpn.200228] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/10/2020] [Revised: 04/21/2021] [Accepted: 07/04/2021] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND Adolescents with bipolar disorder have high rates of cannabis use, and cannabis use is associated with increased symptom severity and treatment resistance in bipolar disorder. Studies have identified anomalous resting-state functional connectivity among reward networks in bipolar disorder and cannabis use independently, but have yet to examine their convergence. METHODS Participants included 134 adolescents, aged 13 to 20 years: 40 with bipolar disorder and lifetime cannabis use, 31 with bipolar disorder and no history of cannabis use, and 63 healthy controls without lifetime cannabis use. We used a seed-to-voxel analysis to assess the restingstate functional connectivity of the amygdala, the nucleus accumbens and the orbitofrontal cortex, regions implicated in bipolar disorder and cannabis use. We used a generalized linear model to explore bivariate correlations for each seed, controlling for age and sex. RESULTS We found 3 significant clusters. Resting-state functional connectivity between the left nucleus accumbens seed and the left superior parietal lobe was negative in adolescents with bipolar disorder and no history of cannabis use, and positive in healthy controls. Resting-state functional connectivity between the right orbitofrontal cortex seed and the right lateral occipital cortex was positive in adolescents with bipolar disorder and lifetime cannabis use, and negative in healthy controls and adolescents with bipolar disorder and no history of cannabis use. Resting-state functional connectivity between the right orbitofrontal cortex seed and right occipital pole was positive in adolescents with bipolar disorder and lifetime cannabis use, and negative in adolescents with bipolar disorder and no history of cannabis use. LIMITATIONS The study did not include a cannabis-using control group. CONCLUSION This study provides preliminary evidence of cannabis-related differences in functional reward circuits in adolescents with bipolar disorder. Further studies are necessary to evaluate whether the present findings reflect consequences of or predisposition to cannabis use.
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Affiliation(s)
- Alysha A Sultan
- From the Centre for Youth Bipolar Disorder, Centre for Addiction and Mental Health, (Sultan, Hird, Dimick, Goldstein); the Department of Pharmacology and Toxicology, University of Toronto, (Sultan, Dimick, Goldstein); the Faculty of Medicine, University of Toronto, (Sultan, Hird, Dimick, Goldstein); the Department of Psychiatry, University of Toronto, (Goldstein); the Department of Medical Biophysics, University of Toronto, (MacIntosh); and the Hurvitz Brain Sciences, Sunnybrook Health Sciences Centre, (MacIntosh, Goldstein) Toronto, Ont. Canada
| | - Megan A Hird
- From the Centre for Youth Bipolar Disorder, Centre for Addiction and Mental Health, (Sultan, Hird, Dimick, Goldstein); the Department of Pharmacology and Toxicology, University of Toronto, (Sultan, Dimick, Goldstein); the Faculty of Medicine, University of Toronto, (Sultan, Hird, Dimick, Goldstein); the Department of Psychiatry, University of Toronto, (Goldstein); the Department of Medical Biophysics, University of Toronto, (MacIntosh); and the Hurvitz Brain Sciences, Sunnybrook Health Sciences Centre, (MacIntosh, Goldstein) Toronto, Ont. Canada
| | - Mikaela K Dimick
- From the Centre for Youth Bipolar Disorder, Centre for Addiction and Mental Health, (Sultan, Hird, Dimick, Goldstein); the Department of Pharmacology and Toxicology, University of Toronto, (Sultan, Dimick, Goldstein); the Faculty of Medicine, University of Toronto, (Sultan, Hird, Dimick, Goldstein); the Department of Psychiatry, University of Toronto, (Goldstein); the Department of Medical Biophysics, University of Toronto, (MacIntosh); and the Hurvitz Brain Sciences, Sunnybrook Health Sciences Centre, (MacIntosh, Goldstein) Toronto, Ont. Canada
| | - Bradley J MacIntosh
- From the Centre for Youth Bipolar Disorder, Centre for Addiction and Mental Health, (Sultan, Hird, Dimick, Goldstein); the Department of Pharmacology and Toxicology, University of Toronto, (Sultan, Dimick, Goldstein); the Faculty of Medicine, University of Toronto, (Sultan, Hird, Dimick, Goldstein); the Department of Psychiatry, University of Toronto, (Goldstein); the Department of Medical Biophysics, University of Toronto, (MacIntosh); and the Hurvitz Brain Sciences, Sunnybrook Health Sciences Centre, (MacIntosh, Goldstein) Toronto, Ont. Canada
| | - Benjamin I Goldstein
- From the Centre for Youth Bipolar Disorder, Centre for Addiction and Mental Health, (Sultan, Hird, Dimick, Goldstein); the Department of Pharmacology and Toxicology, University of Toronto, (Sultan, Dimick, Goldstein); the Faculty of Medicine, University of Toronto, (Sultan, Hird, Dimick, Goldstein); the Department of Psychiatry, University of Toronto, (Goldstein); the Department of Medical Biophysics, University of Toronto, (MacIntosh); and the Hurvitz Brain Sciences, Sunnybrook Health Sciences Centre, (MacIntosh, Goldstein) Toronto, Ont. Canada.
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Woo Y, Kang W, Kang Y, Kim A, Han KM, Tae WS, Ham BJ. Cortical Thickness and Surface Area Abnormalities in Bipolar I and II Disorders. Psychiatry Investig 2021; 18:850-863. [PMID: 34500506 PMCID: PMC8473857 DOI: 10.30773/pi.2021.0074] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/24/2021] [Accepted: 07/11/2021] [Indexed: 01/10/2023] Open
Abstract
OBJECTIVE Although bipolar II disorder (BD II) is not simply a mitigated form of bipolar I disorder (BD I), their neurobiological differences have not been elucidated. The present study aimed to explore cortical thickness (CT) and surface area (SA) in patients with BD I and BD II and healthy controls (HCs) to investigate the shared and unique neurobiological mechanisms of BD subtypes. METHODS We enrolled 30 and 44 patients with BD I and BD II, respectively, and 100 HCs. We evaluated CT and SA using FreeSurfer and estimated differences in CT and SA among the three groups (BD I vs. BD II vs. HC). We adjusted for age, sex, educational level, and intracranial volume as confounding factors. RESULTS We found widespread cortical thinning in the bilateral frontal, temporal, and occipital regions; cingulate gyrus; and insula in patients with BD. Alterations in SA, including increased SA of the pars triangularis and decreased SA of the insula, were noted in patients with BD. Overall, we found BD II patients demonstrated decreased SA in the right long insula compared to BD I patients. CONCLUSION Our results suggest that decreased SA in the right long insula is crucial for differentiating BD subtypes.
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Affiliation(s)
- Yoonmi Woo
- Department of Psychiatry, Korea University Anam Hospital, Korea University College of Medicine, Seoul, Republic of Korea
| | - Wooyoung Kang
- Department of Biomedical Sciences, Korea University College of Medicine, Seoul, Republic of Korea
| | - Youbin Kang
- Department of Biomedical Sciences, Korea University College of Medicine, Seoul, Republic of Korea
| | - Aram Kim
- Department of Biomedical Sciences, Korea University College of Medicine, Seoul, Republic of Korea
| | - Kyu-Man Han
- Department of Psychiatry, Korea University Anam Hospital, Korea University College of Medicine, Seoul, Republic of Korea
| | - Woo-Suk Tae
- Brain Convergence Research Center, Korea University Anam Hospital, Seoul, Republic of Korea
| | - Byung-Joo Ham
- Department of Psychiatry, Korea University Anam Hospital, Korea University College of Medicine, Seoul, Republic of Korea
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7
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Lemvigh CK, Karantonis JA, Furlong LS, Carruthers SP, Pantelis C, Rossell SL, Van Rheenen TE. Characterization and interrelationships of theory of mind, socially competitive emotions and affective empathy in bipolar disorder. BRITISH JOURNAL OF CLINICAL PSYCHOLOGY 2021; 61:76-92. [PMID: 34232514 DOI: 10.1111/bjc.12318] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2021] [Revised: 06/22/2021] [Indexed: 11/28/2022]
Abstract
OBJECTIVE Evidence shows impaired theory of mind (ToM) in patients with bipolar disorder (BD), yet research examining its cognitive and affective components simultaneously is sparse. Moreover, recognition of socially competitive 'fortune of others' emotions (e.g. envy/gloat) may be related to ToM, but has not been assessed in BD. Finally, if and how ToM and 'fortune of others' emotions relate to affective empathy in BD is currently unclear. This study aimed to address these points. METHODS 64 BD patients and 34 healthy controls completed the Yoni task, a visual task assessing first- and second-order cognitive and affective ToM as well as 'fortune of others' emotions. The Toronto Empathy Questionnaire was used to assess self-reported affective empathy. RESULTS Patients with BD showed no deficits in cognitive and affective ToM or recognition of 'fortune of others' emotions. The ability to infer 'fortune of others' emotions correlated with several ToM measures, indicating that these functions are part of the same system. Patients with BD reported similar levels of affective empathy to healthy controls, and this was not related to ToM or 'fortune of others' emotions, suggesting that affective empathy represents a separate social domain. CONCLUSIONS These findings highlight areas of spared social functioning in BD, which may be utilized in therapeutic strategies. PRACTITIONER POINTS Our results suggest theory of mind and empathy may represent areas of potentially spared cognitive functioning in BD. As many BD patients have experienced adversity during developmental periods in which theory of mind and empathy develop, our findings suggest that these abilities may be markers of resilience in the disorder. Our findings are important for the formulation of therapeutic interventions for BD, which may include considering practical ways that a patients' knowledge of intact ToM and empathy could be utilized to reduce self-stigma and promote self-efficacy, improved well-being and functioning.
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Affiliation(s)
- Cecilie K Lemvigh
- Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research (CINS) and Center for Neuropsychiatric Schizophrenia Research (CNSR), Mental Health Center Glostrup, Glostrup, Denmark.,Department of Psychology, Faculty of Social Sciences, University of Copenhagen, Copenhagen, Denmark.,Melbourne Neuropsychiatry Centre, Department of Psychiatry, University of Melbourne and Melbourne Health, Carlton, Victoria, Australia
| | - James A Karantonis
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, University of Melbourne and Melbourne Health, Carlton, Victoria, Australia.,Faculty of Health, Arts and Design, Centre for Mental Health, Swinburne University of Technology, Melbourne, Victoria, Australia
| | - Lisa S Furlong
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, University of Melbourne and Melbourne Health, Carlton, Victoria, Australia
| | - Sean P Carruthers
- Faculty of Health, Arts and Design, Centre for Mental Health, Swinburne University of Technology, Melbourne, Victoria, Australia
| | - Christos Pantelis
- Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research (CINS) and Center for Neuropsychiatric Schizophrenia Research (CNSR), Mental Health Center Glostrup, Glostrup, Denmark.,Melbourne Neuropsychiatry Centre, Department of Psychiatry, University of Melbourne and Melbourne Health, Carlton, Victoria, Australia.,Florey Institute of Neuroscience and Mental Health, Melbourne, Victoria, Australia
| | - Susan L Rossell
- Faculty of Health, Arts and Design, Centre for Mental Health, Swinburne University of Technology, Melbourne, Victoria, Australia.,Department of Psychiatry, St Vincent's Hospital, Melbourne, Victoria, Australia
| | - Tamsyn E Van Rheenen
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, University of Melbourne and Melbourne Health, Carlton, Victoria, Australia.,Faculty of Health, Arts and Design, Centre for Mental Health, Swinburne University of Technology, Melbourne, Victoria, Australia
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8
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Lu F, Cui Q, He Z, Tang Q, Chen Y, Sheng W, Yang Y, Luo W, Yu Y, Chen J, Li D, Deng J, Hu S, Chen H. Superficial white-matter functional networks changes in bipolar disorder patients during depressive episodes. J Affect Disord 2021; 289:151-159. [PMID: 33984685 DOI: 10.1016/j.jad.2021.04.029] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/14/2021] [Revised: 03/01/2021] [Accepted: 04/20/2021] [Indexed: 12/17/2022]
Abstract
BACKGROUND Bipolar disorder is a common psychiatric disorder characterized by insufficient or ineffective connections associated with white-matter (WM) abnormalities. Previous studies have detected the structural attributes of WM using magnetic resonance imaging (MRI) or diffusion tensor imaging, however, they failed to disentangle the dysfunctional organization within the WM. METHODS This study aimed to uncover the WM functional connectivity (FC) in 45 bipolar disorder patients during depressive episodes (BDD) and 45 healthy controls based on resting-state functional MRI. Eight WM functional networks were identified by using a clustering analysis of voxel-based correlation profiles, which were further classified into superficial, middle and deep layers of networks. RESULTS Group comparisons on the FCs among 8 WM networks showed that the superficial tempofrontal network (TFN) in BDD patients had increased FC with the superficial cerebellar network (CN) and with the superficial pre/post-central network (PCN). Further, support vector regression prediction analysis results revealed that the increased FCs of CN-TFN and PCN-TFN could be served as features to predict the numbers of depressive episode in BDD patients. CONCLUSIONS The current study extended our knowledge about the impaired WM functional connections associated with emotional and sensory-motor perception processing in BDD, which may facilitate the interpretation of the pathophysiology mechanisms underlying BDD.
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Affiliation(s)
- Fengmei Lu
- The Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, P R China
| | - Qian Cui
- School of Public Affairs and Administration, University of Electronic Science and Technology of China, Chengdu, China.
| | - Zongling He
- The Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, P R China
| | - Qin Tang
- The Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, P R China
| | - Yuyan Chen
- The Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, P R China
| | - Wei Sheng
- The Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, P R China
| | - Yang Yang
- The Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, P R China
| | - Wei Luo
- The Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, P R China
| | - Yue Yu
- The Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, P R China
| | - Jiajia Chen
- The Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, P R China
| | - Di Li
- The Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, P R China
| | - Jiaxin Deng
- School of Public Affairs and Administration, University of Electronic Science and Technology of China, Chengdu, China
| | - Shan Hu
- School of Public Affairs and Administration, University of Electronic Science and Technology of China, Chengdu, China
| | - Huafu Chen
- The Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, P R China; MOE Key Lab for Neuroinformation, High-Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan Province, University of Electronic Science and Technology of China, Chengdu, 610054, P R China.
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9
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Sultan AA, Kennedy KG, Fiksenbaum L, MacIntosh BJ, Goldstein BI. Neurostructural Correlates of Cannabis Use in Adolescent Bipolar Disorder. Int J Neuropsychopharmacol 2021; 24:181-190. [PMID: 33103721 PMCID: PMC7968618 DOI: 10.1093/ijnp/pyaa077] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/07/2020] [Accepted: 10/20/2020] [Indexed: 12/29/2022] Open
Abstract
BACKGROUND Little is known regarding the association of cannabis use with brain structure in adolescents with bipolar disorder (BD). This subject is timely, given expanded availability of cannabis contemporaneously with increased social acceptance and diminished societal constraints to access. Therefore, we set out to examine this topic in a sample of adolescents with BD and healthy control (HC) adolescents. METHODS Participants included 144 adolescents (47 BD with cannabis use [BDCB+; including 13 with cannabis use disorder], 34 BD without cannabis use [BDCB-], 63 HC without cannabis use) ages 13-20 years. FreeSurfer-processed 3T MRI with T1-weighted contrast yielded measures of cortical thickness, surface area (SA), and volume. Region of interest (amygdala, hippocampus, ventrolateral prefrontal cortex, ventromedial prefrontal cortex, and anterior cingulate cortex) analyses and exploratory vertex-wise analysis were undertaken. A general linear model tested for between-group differences, accounting for age, sex, and intracranial volume. RESULTS Vertex-wise analysis revealed significant group effects in frontal and parietal regions. In post-hoc analyses, BDCB+ exhibited larger volume and SA in parietal regions, and smaller thickness in frontal regions, relative to HC and BDCB-. BDCB- had smaller volume, SA, and thickness in parietal and frontal regions relative to HC. There were no significant region of interest findings after correcting for multiple comparisons. CONCLUSION This study found that cannabis use is associated with differences in regional brain structure among adolescents with BD. Future prospective studies are necessary to determine the direction of the observed association and to assess for dose effects.
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Affiliation(s)
- Alysha A Sultan
- Centre for Youth Bipolar Disorder, Sunnybrook Health Sciences Centre, Toronto, Canada
- Department of Pharmacology, University of Toronto, Toronto, Canada
| | - Kody G Kennedy
- Centre for Youth Bipolar Disorder, Sunnybrook Health Sciences Centre, Toronto, Canada
- Department of Pharmacology, University of Toronto, Toronto, Canada
| | - Lisa Fiksenbaum
- Centre for Youth Bipolar Disorder, Sunnybrook Health Sciences Centre, Toronto, Canada
| | - Bradley J MacIntosh
- Hurvitz Brain Sciences & Physical Sciences, Sunnybrook Research Institute, Toronto, Canada
- Heart and Stroke Foundation Canadian Partnership for Stroke Recovery, Sunnybrook Research Institute, Toronto, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, Canada
| | - Benjamin I Goldstein
- Centre for Youth Bipolar Disorder, Sunnybrook Health Sciences Centre, Toronto, Canada
- Department of Pharmacology, University of Toronto, Toronto, Canada
- Heart and Stroke Foundation Canadian Partnership for Stroke Recovery, Sunnybrook Research Institute, Toronto, Canada
- Department of Psychiatry, University of Toronto, Toronto, Canada
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10
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Lapomarda G, Pappaianni E, Siugzdaite R, Sanfey AG, Rumiati RI, Grecucci A. Out of control: An altered parieto-occipital-cerebellar network for impulsivity in bipolar disorder. Behav Brain Res 2021; 406:113228. [PMID: 33684426 DOI: 10.1016/j.bbr.2021.113228] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2020] [Revised: 01/28/2021] [Accepted: 03/01/2021] [Indexed: 12/21/2022]
Abstract
Bipolar disorder is an affective disorder characterized by rapid fluctuations in mood ranging from episodes of depression to mania, as well as by increased impulsivity. Previous studies investigated the neural substrates of bipolar disorder mainly using univariate methods, with a particular focus on the neural circuitry underlying emotion regulation difficulties. In the present study, capitalizing on an innovative whole-brain multivariate method to structural analysis known as Source-based Morphometry, we investigated the neural substrates of bipolar disorder and their relation with impulsivity, assessed with both self-report measures and performance-based tasks. Structural images from 46 patients with diagnosis of bipolar disorder and 60 healthy controls were analysed. Compared to healthy controls, patients showed decreased gray matter concentration in a parietal-occipital-cerebellar network. Notably, the lower the gray matter concentration in this circuit, the higher the self-reported impulsivity. In conclusion, we provided new evidence of an altered brain network in bipolar disorder patients related to their abnormal impulsivity. Taken together, these findings extend our understanding of the neural and symptomatic characterization of bipolar disorder.
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Affiliation(s)
- Gaia Lapomarda
- Clinical and Affective Neuroscience Lab, Department of Psychology and Cognitive Sciences, University of Trento, Rovereto, Italy.
| | - Edoardo Pappaianni
- Department of Psychiatry, Faculty of Medicine, University of Geneva, Geneva, Switzerland
| | - Roma Siugzdaite
- MRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, UK
| | - Alan G Sanfey
- Centre for Cognitive Neuroimaging, Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, the Netherlands
| | - Raffaella I Rumiati
- Scuola Internazionale Superiore di Studi Avanzati (SISSA), University of Trieste, Trieste, Italy
| | - Alessandro Grecucci
- Clinical and Affective Neuroscience Lab, Department of Psychology and Cognitive Sciences, University of Trento, Rovereto, Italy
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11
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Chen YL, Tu PC, Huang TH, Bai YM, Su TP, Chen MH, Wu YT. Using Minimal-Redundant and Maximal-Relevant Whole-Brain Functional Connectivity to Classify Bipolar Disorder. Front Neurosci 2020; 14:563368. [PMID: 33192250 PMCID: PMC7641629 DOI: 10.3389/fnins.2020.563368] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2020] [Accepted: 09/23/2020] [Indexed: 12/04/2022] Open
Abstract
Background A number of mental illness is often re-diagnosed to be bipolar disorder (BD). Furthermore, the prefronto-limbic-striatal regions seem to be associated with the main dysconnectivity of BD. Functional connectivity is potentially an appropriate objective neurobiological marker that can assist with BD diagnosis. Methods Health controls (HC; n = 173) and patients with BD who had been diagnosed by experienced physicians (n = 192) were separated into 10-folds, namely, a ninefold training set and a onefold testing set. The classification involved feature selection of the training set using minimum redundancy/maximum relevance. Support vector machine was used for training. The classification was repeated 10 times until each fold had been used as the testing set. Results The mean accuracy of the 10 testing sets was 76.25%, and the area under the curve was 0.840. The selected functional within-network/between-network connectivity was mainly in the subcortical/cerebellar regions and the frontoparietal network. Furthermore, similarity within the BD patients, calculated by the cosine distance between two functional connectivity matrices, was smaller than between groups before feature selection and greater than between groups after the feature selection. Limitations The major limitations were that all the BD patients were receiving medication and that no independent dataset was included. Conclusion Our approach effectively separates a relatively large group of BD patients from HCs. This was done by selecting functional connectivity, which was more similar within BD patients, and also seems to be related to the neuropathological factors associated with BD.
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Affiliation(s)
- Yen-Ling Chen
- Institute of Biophotonics, National Yang-Ming University, Taipei, Taiwan
| | - Pei-Chi Tu
- Department of Medical Research and Education, Taipei Veterans General Hospital, Taipei, Taiwan.,Department of Psychiatry, Taipei Veterans General Hospital, Taipei, Taiwan.,Division of Psychiatry, Faculty of Medicine, National Yang-Ming University, Taipei, Taiwan.,Institute of Philosophy of Mind and Cognition, National Yang-Ming University, Taipei, Taiwan
| | - Tzu-Hsuan Huang
- Institute of Biophotonics, National Yang-Ming University, Taipei, Taiwan
| | - Ya-Mei Bai
- Department of Psychiatry, Taipei Veterans General Hospital, Taipei, Taiwan.,Division of Psychiatry, Faculty of Medicine, National Yang-Ming University, Taipei, Taiwan
| | - Tung-Ping Su
- Department of Psychiatry, Taipei Veterans General Hospital, Taipei, Taiwan.,Division of Psychiatry, Faculty of Medicine, National Yang-Ming University, Taipei, Taiwan.,Department of Psychiatry, Cheng-Hsin General Hospital, Taipei, Taiwan
| | - Mu-Hong Chen
- Department of Psychiatry, Taipei Veterans General Hospital, Taipei, Taiwan.,Division of Psychiatry, Faculty of Medicine, National Yang-Ming University, Taipei, Taiwan
| | - Yu-Te Wu
- Institute of Biophotonics, National Yang-Ming University, Taipei, Taiwan.,Brain Research Center, National Yang-Ming University, Taipei, Taiwan
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12
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Fan Z, Yang J, Zeng C, Xi C, Wu G, Guo S, Xue Z, Liu Z, Tao H. Bipolar Mood State Reflected in Functional Connectivity of the Hate Circuit: A Resting-State Functional Magnetic Resonance Imaging Study. Front Psychiatry 2020; 11:556126. [PMID: 33192670 PMCID: PMC7652934 DOI: 10.3389/fpsyt.2020.556126] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/27/2020] [Accepted: 08/28/2020] [Indexed: 12/04/2022] Open
Abstract
BACKGROUND Previous studies suggested bipolar disorder caused an aberrant alteration in the insular, putamen, and left superior frontal gyrus, which are the main components of the hate circuit. However, the relationship between the hate circuit and the pathophysiologic substrate underlying different phases of bipolar disorder remain unclear. In this study, we aimed to identify group differences of resting-state functional connectivity within the hate circuit in healthy controls (HCs) and bipolar patients in different mood states. METHODS Resting-state functional magnetic resonance imaging of the brain were acquired from 54 HCs and 81 patients with bipolar disorder including 20 with bipolar mania (BM), 35 with bipolar depression (BD), and 26 with bipolar euthymia (BE). We selected bilateral insula (L.INS and R.INS), bilateral putamen (L.PUT and R.PUT), and left superior frontal gyrus (L.SFGd) as seed regions, and conducted the seed-based functional connectivity analysis to identify group differences of connectivity strength within the hate circuit. Spearman correlations were performed to evaluate the relationship between the hate circuit and manic/depressive symptoms. RESULTS Significant group differences of connectivity strength within the hate circuit were found in links of the R.INS-L.SFGd, R.PUT-L.SFGd, and L.INS- R.PUT after false discovery rate was corrected. The BM group showed an opposite hate circuit pattern to BD, BE, and HCs. The BD group showed decreased hate circuit connectivity in the L.INS-R.PUT compared with the BE group. No significant difference was detected among BD, BE, and HCs. Furthermore, functional connectivity of the R.INS-L.SFGd and R.PUT-L.SFGd were positively correlated with manic symptoms, while the L.INS- R.PUT was negatively correlated with depressive symptoms. CONCLUSIONS Our preliminary findings suggest that altered functional connectivity of the hate circuit in different mood phases may be related to state markers and underpin the neuropathological basis of bipolar disorder.
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Affiliation(s)
- Zebin Fan
- Department of Psychiatry, The Second Xiangya Hospital, Central South University, Changsha, China
- National Clinical Research Center for Mental Disorders, Changsha, China
- National Technology Institute on Mental Disorders, Changsha, China
| | - Jie Yang
- Department of Psychiatry, The Second Xiangya Hospital, Central South University, Changsha, China
- National Clinical Research Center for Mental Disorders, Changsha, China
- National Technology Institute on Mental Disorders, Changsha, China
| | - Can Zeng
- Department of Psychiatry, The Second Xiangya Hospital, Central South University, Changsha, China
- National Clinical Research Center for Mental Disorders, Changsha, China
- National Technology Institute on Mental Disorders, Changsha, China
| | - Chang Xi
- Department of Psychiatry, The Second Xiangya Hospital, Central South University, Changsha, China
- National Clinical Research Center for Mental Disorders, Changsha, China
- National Technology Institute on Mental Disorders, Changsha, China
| | - Guowei Wu
- Department of Psychiatry, The Second Xiangya Hospital, Central South University, Changsha, China
- National Clinical Research Center for Mental Disorders, Changsha, China
- National Technology Institute on Mental Disorders, Changsha, China
| | - Shuixia Guo
- Mathematics and Computer Science College, Hunan Normal University, Changsha, China
| | - Zhimin Xue
- Department of Psychiatry, The Second Xiangya Hospital, Central South University, Changsha, China
- National Clinical Research Center for Mental Disorders, Changsha, China
- National Technology Institute on Mental Disorders, Changsha, China
| | - Zhening Liu
- Department of Psychiatry, The Second Xiangya Hospital, Central South University, Changsha, China
- National Clinical Research Center for Mental Disorders, Changsha, China
- National Technology Institute on Mental Disorders, Changsha, China
| | - Haojuan Tao
- Department of Psychiatry, The Second Xiangya Hospital, Central South University, Changsha, China
- National Clinical Research Center for Mental Disorders, Changsha, China
- National Technology Institute on Mental Disorders, Changsha, China
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13
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Li H, Cui L, Cao L, Zhang Y, Liu Y, Deng W, Zhou W. Identification of bipolar disorder using a combination of multimodality magnetic resonance imaging and machine learning techniques. BMC Psychiatry 2020; 20:488. [PMID: 33023515 PMCID: PMC7542439 DOI: 10.1186/s12888-020-02886-5] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/14/2020] [Accepted: 09/21/2020] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND Bipolar disorder (BPD) is a common mood disorder that is often goes misdiagnosed or undiagnosed. Recently, machine learning techniques have been combined with neuroimaging methods to aid in the diagnosis of BPD. However, most studies have focused on the construction of classifiers based on single-modality MRI. Hence, in this study, we aimed to construct a support vector machine (SVM) model using a combination of structural and functional MRI, which could be used to accurately identify patients with BPD. METHODS In total, 44 patients with BPD and 36 healthy controls were enrolled in the study. Clinical evaluation and MRI scans were performed for each subject. Next, image pre-processing, VBM and ReHo analyses were performed. The ReHo values of each subject in the clusters showing significant differences were extracted. Further, LASSO approach was recruited to screen features. Based on selected features, the SVM model was established, and discriminant analysis was performed. RESULTS After using the two-sample t-test with multiple comparisons, a total of 8 clusters were extracted from the data (VBM = 6; ReHo = 2). Next, we used both VBM and ReHo data to construct the new SVM classifier, which could effectively identify patients with BPD at an accuracy of 87.5% (95%CI: 72.5-95.3%), sensitivity of 86.4% (95%CI: 64.0-96.4%), and specificity of 88.9% (95%CI: 63.9-98.0%) in the test data (p = 0.0022). CONCLUSIONS A combination of structural and functional MRI can be of added value in the construction of SVM classifiers to aid in the accurate identification of BPD in the clinic.
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Affiliation(s)
- Hao Li
- grid.412615.5Department of Neurology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China ,grid.484195.5Guangdong Provincial Key Laboratory of Diagnosis and Treatment of Major Neurological Diseases, National Key Clinical Department and Key Discipline of Neurology, No.58 Zhongshan Road 2, Guangzhou, 510080 China
| | - Liqian Cui
- Department of Neurology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China. .,Guangdong Provincial Key Laboratory of Diagnosis and Treatment of Major Neurological Diseases, National Key Clinical Department and Key Discipline of Neurology, No.58 Zhongshan Road 2, Guangzhou, 510080, China.
| | - Liping Cao
- Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou Huiai Hospital, Guangzhou, Guangdong, China.
| | - Yizhi Zhang
- grid.452505.30000 0004 1757 6882Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou Huiai Hospital, Guangzhou, Guangdong China
| | - Yueheng Liu
- grid.216417.70000 0001 0379 7164Department of Psychiatry, The Second Xiangya Hospital, Central South University, Changsha, Hunan China ,Chinese National Clinical Research Center on Mental Disorders (Xiangya), Changsha, Hunan China
| | - Wenhao Deng
- grid.452505.30000 0004 1757 6882Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou Huiai Hospital, Guangzhou, Guangdong China
| | - Wenjin Zhou
- grid.452505.30000 0004 1757 6882Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou Huiai Hospital, Guangzhou, Guangdong China
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14
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Painold A, Faber PL, Reininghaus EZ, Mörkl S, Holl AK, Achermann P, Saletu B, Saletu-Zyhlarz G, Anderer P, Dalkner N, Birner A, Bengesser S, Kapfhammer HP, Milz P. Reduced Brain Electric Activity and Functional Connectivity in Bipolar Euthymia: An sLORETA Source Localization Study. Clin EEG Neurosci 2020; 51:155-166. [PMID: 31845595 DOI: 10.1177/1550059419893472] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Bipolar disorder (BD) is a chronic illness with a relapsing and remitting time course. Relapses are manic or depressive in nature and intermitted by euthymic states. During euthymic states, patients lack the criteria for a manic or depressive diagnosis, but still suffer from impaired cognitive functioning as indicated by difficulties in executive and language-related processing. The present study investigated whether these deficits are reflected by altered intracortical activity in or functional connectivity between brain regions involved in these processes such as the prefrontal and the temporal cortices. Vigilance-controlled resting state EEG of 13 euthymic BD patients and 13 healthy age- and sex-matched controls was analyzed. Head-surface EEG was recomputed into intracortical current density values in 8 frequency bands using standardized low-resolution electromagnetic tomography. Intracortical current densities were averaged in 19 evenly distributed regions of interest (ROIs). Lagged coherences were computed between each pair of ROIs. Source activity and coherence measures between patients and controls were compared (paired t tests). Reductions in temporal cortex activity and in large-scale functional connectivity in patients compared to controls were observed. Activity reductions affected all 8 EEG frequency bands. Functional connectivity reductions affected the delta, theta, alpha-2, beta-2, and gamma band and involved but were not limited to prefrontal and temporal ROIs. The findings show reduced activation of the temporal cortex and reduced coordination between many brain regions in BD euthymia. These activation and connectivity changes may disturb the continuous frontotemporal information flow required for executive and language-related processing, which is impaired in euthymic BD patients.
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Affiliation(s)
- Annamaria Painold
- Department of Psychiatry and Psychotherapy, Medical University of Graz, Graz, Austria
| | - Pascal L Faber
- Department of Psychiatry, Psychotherapy and Psychosomatics, The KEY Institute for Brain-Mind Research, University Hospital of Psychiatry, Zurich, Switzerland
| | - Eva Z Reininghaus
- Department of Psychiatry and Psychotherapy, Medical University of Graz, Graz, Austria
| | - Sabrina Mörkl
- Department of Psychiatry and Psychotherapy, Medical University of Graz, Graz, Austria
| | - Anna K Holl
- Department of Psychiatry and Psychotherapy, Medical University of Graz, Graz, Austria
| | - Peter Achermann
- Department of Psychiatry, Psychotherapy and Psychosomatics, The KEY Institute for Brain-Mind Research, University Hospital of Psychiatry, Zurich, Switzerland
| | - Bernd Saletu
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
| | - Gerda Saletu-Zyhlarz
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
| | - Peter Anderer
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
| | - Nina Dalkner
- Department of Psychiatry and Psychotherapy, Medical University of Graz, Graz, Austria
| | - Armin Birner
- Department of Psychiatry and Psychotherapy, Medical University of Graz, Graz, Austria
| | - Susanne Bengesser
- Department of Psychiatry and Psychotherapy, Medical University of Graz, Graz, Austria
| | - Hans-Peter Kapfhammer
- Department of Psychiatry and Psychotherapy, Medical University of Graz, Graz, Austria
| | - Patricia Milz
- Department of Psychiatry, Psychotherapy and Psychosomatics, The KEY Institute for Brain-Mind Research, University Hospital of Psychiatry, Zurich, Switzerland
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15
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Abé C, Liberg B, Song J, Bergen SE, Petrovic P, Ekman CJ, Sellgren CM, Ingvar M, Landén M. Longitudinal Cortical Thickness Changes in Bipolar Disorder and the Relationship to Genetic Risk, Mania, and Lithium Use. Biol Psychiatry 2020; 87:271-281. [PMID: 31635761 DOI: 10.1016/j.biopsych.2019.08.015] [Citation(s) in RCA: 38] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/19/2019] [Revised: 08/16/2019] [Accepted: 08/17/2019] [Indexed: 01/30/2023]
Abstract
BACKGROUND Bipolar disorder (BD) is a highly heritable psychiatric disorder characterized by episodes of manic and depressed mood states and associated with cortical brain abnormalities. Although the course of BD is often progressive, longitudinal brain imaging studies are scarce. It remains unknown whether brain abnormalities are static traits of BD or result from pathological changes over time. Moreover, the genetic effect on implicated brain regions remains unknown. METHODS Patients with BD and healthy control (HC) subjects underwent structural magnetic resonance imaging at baseline (123 patients, 83 HC subjects) and after 6 years (90 patients, 61 HC subjects). Cortical thickness maps were generated using FreeSurfer. Using linear mixed effects models, we compared longitudinal changes in cortical thickness between patients with BD and HC subjects across the whole brain. We related our findings to genetic risk for BD and tested for effects of demographic and clinical variables. RESULTS Patients showed abnormal cortical thinning of temporal cortices and thickness increases in visual/somatosensory brain areas. Thickness increases were related to genetic risk and lithium use. Patients who experienced hypomanic or manic episodes between time points showed abnormal thinning in inferior frontal cortices. Cortical changes did not differ between diagnostic BD subtypes I and II. CONCLUSIONS In the largest longitudinal BD study to date, we detected abnormal cortical changes with high anatomical resolution. We delineated regional effects of clinical symptoms, genetic factors, and medication that may explain progressive brain changes in BD. Our study yields important insights into disease mechanisms and suggests that neuroprogression plays a role in BD.
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Affiliation(s)
- Christoph Abé
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.
| | - Benny Liberg
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Jie Song
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Sarah E Bergen
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Predrag Petrovic
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Carl Johan Ekman
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Carl M Sellgren
- Department of Physiology and Pharmacology, Karolinska Institutet, Stockholm, Sweden
| | - Martin Ingvar
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Mikael Landén
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden; Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden; Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the Gothenburg University, Gothenburg, Sweden; Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet and Stockholm County, Stockholm, Sweden
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16
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Qiu S, Chen F, Chen G, Jia Y, Gong J, Luo X, Zhong S, Zhao L, Lai S, Qi Z, Huang L, Wang Y. Abnormal resting-state regional homogeneity in unmedicated bipolar II disorder. J Affect Disord 2019; 256:604-610. [PMID: 31299441 DOI: 10.1016/j.jad.2019.06.037] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/15/2019] [Revised: 05/06/2019] [Accepted: 06/29/2019] [Indexed: 02/06/2023]
Abstract
BACKGROUND Previous studies demonstrated that patients with bipolar disorder (BD) exhibited abnormal neural activity in multiple brain regions. However, no study has been conducted to identify regional intrinsic neural activity changes in BD II. In the present study, we used the regional homogeneity (ReHo) approach to explore the regional abnormal neural activity in bipolar II disorder METHODS: One hundred unmedicated patients with BD II depression and 100 healthy controls (HC) underwent the resting-state functional magnetic resonance imaging. The ReHo values of each voxel was calculated in the whole brain. The two-sample t-test and threshold-free cluster enhancement (TFCE) correction were applied for the ReHo analysis. RESULTS Compared with the HC group, the BD II group showed significantly decreased ReHo in the left orbitofrontal cortex, and increased ReHo in the right precentral gyrus, right supplementary motor area and bilateral middle occipital gyrus (P < .05, TFCE corrected). LIMITATIONS This study lacks the evidence of brain structural changes, and used the cross-sectional design which did not explore local alterations of remitted and manic patients. CONCLUSION Our findings revealed abnormal local intrinsic neural activity during resting state which may contribute to the pathophysiology of bipolar II disorder. Particularly the disrupted balance between the prefrontal cortex and primary sensorimotor regions provides evidence for the unique pathological mechanism underlying BD.
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Affiliation(s)
- Shaojuan Qiu
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou 510630, China
| | - Feng Chen
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou 510630, China
| | - Guanmao Chen
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou 510630, China
| | - Yanbin Jia
- Department of Psychiatry, First Affiliated Hospital of Jinan University, Guangzhou 510630, China
| | - Jiaying Gong
- Department of Radiology, Six Affiliated Hospital of Sun Yat-sen University, Guangzhou 510655, China
| | - Xiaomei Luo
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou 510630, China
| | - Shuming Zhong
- Department of Psychiatry, First Affiliated Hospital of Jinan University, Guangzhou 510630, China
| | - Lianping Zhao
- Department of Radiology, Gansu Provincial Hospital, Gansu 730000, China
| | - Shunkai Lai
- Department of Psychiatry, First Affiliated Hospital of Jinan University, Guangzhou 510630, China
| | - Zhangzhang Qi
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou 510630, China
| | - Li Huang
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou 510630, China.
| | - Ying Wang
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou 510630, China.
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17
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Squarcina L, Dagnew TM, Rivolta MW, Bellani M, Sassi R, Brambilla P. Automated cortical thickness and skewness feature selection in bipolar disorder using a semi-supervised learning method. J Affect Disord 2019; 256:416-423. [PMID: 31229930 DOI: 10.1016/j.jad.2019.06.019] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/30/2019] [Revised: 03/26/2019] [Accepted: 06/07/2019] [Indexed: 01/10/2023]
Abstract
BACKGROUND Bipolar disorder (BD) broadly affects brain structure, in particular areas involved in emotion processing and cognition. In the last years, the psychiatric field's interest in machine learning approaches has been steadily growing, thanks to the potentiality of automatically discriminating patients from healthy controls. METHODS In this work, we employed cortical thickness of 58 regions of interest obtained from magnetic resonance imaging scans of 41 BD patients and 34 healthy controls, to automatically identify the regions which are mostly involved with the disease. We used a semi-supervised method, addressing the criticisms on supervised methods, related to the fact that the diagnosis is not unaffected by uncertainty. RESULTS Our results confirm findings in previous studies, with a classification accuracy of about 75% when mean thickness and skewness of up to five regions are considered. We obtained that the parietal lobe and some areas in the temporal sulcus were the regions which were the most involved with BD. LIMITATIONS The major limitation of our work is the limited size or our dataset, but in line with other recent machine learning works in the field. Moreover, we considered chronic patients, whose brain characteristics may thus be affected. CONCLUSIONS The automatic selection of the brain regions most involved in BD may be of great importance when dealing with the pathogenesis of the disorder. Our method selected regions which are known to be involved with BD, indicating that damage to the identified areas can be considered as a marker of disease.
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Affiliation(s)
- L Squarcina
- Department of Neurosciences and Mental Health, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, University of Milan, Milan, Italy.
| | - T M Dagnew
- Department of Computer Science, University of Milan, Milan, Italy.
| | - M W Rivolta
- Department of Computer Science, University of Milan, Milan, Italy
| | - M Bellani
- Department of Neurosciences, Biomedicine and Movement Sciences, Section of Psychiatry, University of Verona, Italy
| | - R Sassi
- Department of Computer Science, University of Milan, Milan, Italy
| | - P Brambilla
- Department of Neurosciences and Mental Health, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, University of Milan, Milan, Italy; Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy
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18
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Ha K, Ha TH, Hong KS. Bipolar I and Bipolar II: It's Time for Something New for a Better Understanding and Classification of Bipolar Disorders. CANADIAN JOURNAL OF PSYCHIATRY. REVUE CANADIENNE DE PSYCHIATRIE 2019; 64:548-549. [PMID: 31248270 PMCID: PMC6681509 DOI: 10.1177/0706743719861279] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Affiliation(s)
- Kyooseob Ha
- 1 Department of Psychiatry, Seoul National University College of Medicine, Seoul, South Korea.,2 Department of Psychiatry, Mood Disorders Clinic, Seoul National University Hospital, Seoul, South Korea
| | - Tae Hyon Ha
- 3 Department of Psychiatry, Mood Disorders Clinic, Seoul National University Bundang Hospital, Seongnam, South Korea
| | - Kyung Sue Hong
- 4 Department of Psychiatry, Sungkyunkwan University School of Medicine, Samsung Medical Center, Seoul, South Korea
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19
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Sorella S, Lapomarda G, Messina I, Frederickson JJ, Siugzdaite R, Job R, Grecucci A. Testing the expanded continuum hypothesis of schizophrenia and bipolar disorder. Neural and psychological evidence for shared and distinct mechanisms. Neuroimage Clin 2019; 23:101854. [PMID: 31121524 PMCID: PMC6529770 DOI: 10.1016/j.nicl.2019.101854] [Citation(s) in RCA: 30] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2019] [Revised: 04/24/2019] [Accepted: 05/02/2019] [Indexed: 12/21/2022]
Abstract
Despite the traditional view of Schizophrenia (SZ) and Bipolar disorder (BD) as separate diagnostic categories, the validity of such a categorical approach is challenging. In recent years, the hypothesis of a continuum between Schizophrenia (SZ) and Bipolar disorder (BD), postulating a common pathophysiologic mechanism, has been proposed. Although appealing, this unifying hypothesis may be too simplistic when looking at cognitive and affective differences these patients display. In this paper, we aim to test an expanded version of the continuum hypothesis according to which the continuum extends over three clusters: the psychotic, the cognitive, and the affective. We applied an innovative approach known as Source-based Morphometry (SBM) to the structural images of 46 individuals diagnosed with SZ, 46 with BD and 66 healthy controls (HC). We also analyzed the psychological profiles of the three groups using cognitive, affective, and clinical tests. At a neural level, we found evidence for a shared psychotic core in a distributed network involving portions of the medial parietal and temporo-occipital areas, as well as parts of the cerebellum and the middle frontal gyrus. We also found evidence of a cognitive core more compromised in SZ, including alterations in a fronto-parietal circuit, and mild evidence of an affective core more compromised in BD, including portions of the temporal and occipital lobes, cerebellum, and frontal gyrus. Such differences were confirmed by the psychological profiles, with SZ patients more impaired in cognitive tests, while BD in affective ones. On the bases of these results we put forward an expanded view of the continuum hypothesis, according to which a common psychotic core exists between SZ and BD patients complemented by two separate cognitive and affective cores that are both impaired in the two patients' groups, although to different degrees.
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Affiliation(s)
- Sara Sorella
- Department of Psychology and Cognitive Science (DiPSCo), University of Trento, Rovereto, Italy.
| | - Gaia Lapomarda
- Department of Psychology and Cognitive Science (DiPSCo), University of Trento, Rovereto, Italy.
| | | | | | - Roma Siugzdaite
- Department of Experimental Psychology, Faculty of Psychological and Pedagogical Sciences, Ghent University, Ghent, Belgium.
| | - Remo Job
- Department of Psychology and Cognitive Science (DiPSCo), University of Trento, Rovereto, Italy.
| | - Alessandro Grecucci
- Department of Psychology and Cognitive Science (DiPSCo), University of Trento, Rovereto, Italy.
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20
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Lu X, Zhong Y, Ma Z, Wu Y, Fox PT, Zhang N, Wang C. Structural imaging biomarkers for bipolar disorder: Meta-analyses of whole-brain voxel-based morphometry studies. Depress Anxiety 2019; 36:353-364. [PMID: 30475436 DOI: 10.1002/da.22866] [Citation(s) in RCA: 37] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/01/2018] [Revised: 10/20/2018] [Accepted: 11/06/2018] [Indexed: 11/09/2022] Open
Abstract
BACKGROUND Bipolar disorder (BD) is a common and destructive psychiatric illness worldwide. Although it is known that BD is associated with morphological abnormalities of the brain, the regions implicated in BD remain unclear. Therefore, we aimed to update current knowledge on potential structural imaging biomarkers of BD. METHODS Studies published up to January 31, 2018, were identified by a comprehensive literature search of PubMed, EBSCO, and BrainMap voxel-based morphometry (VBM) database. Whole-brain VBM studies that examined gray matter (GM) abnormalities of group comparisons between BD and healthy controls (HC) and reported results as coordinates in a standard reference space were included. Different meta-analyses were performed by activation likelihood estimation (ALE) algorithm. RESULTS A total of 46 studies with 56 experiments, including 1720 subjects and 268 foci were included. Seven different meta-analyses were calculated separately across experiments reporting decreased or increased GM volume among BD, BDΙ, BD-adults, and BD-youths groups. Fifteen regions of significantly different GM volume between four groups and HC were identified. There were extensive GM deficits in the prefrontal and temporal cortex, and enlargements in the putamen, cingulate cortex, and precuneus. CONCLUSIONS The results revealed that the thinning of prefrontal cortex was a key region in the pathophysiology of BD. The enlargement of the cingulate cortex may be implicated in a compensatory mechanism. It underscored important differences between BD-adults and BD-youths and specific biomarkers of three subgroups.
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Affiliation(s)
- Xin Lu
- School of Psychology, Nanjing Normal University, Nanjing, Jiangsu, China.,Nanjing Brain Hospital Affiliated to Nanjing Medical University, Nanjing, Jiangsu, China.,Functional Brain Imaging Institute of Nanjing Medical University, Nanjing, Jiangsu, China.,Cognitive Behavioral Therapy Institute of Nanjing Medical University, Nanjing, Jiangsu, China
| | - Yuan Zhong
- School of Psychology, Nanjing Normal University, Nanjing, Jiangsu, China.,Jiangsu Key Laboratory of Mental Health and Cognitive Science, Nanjing Normal University, Nanjing, Jiangsu, China
| | - Zijuan Ma
- Nanjing Brain Hospital Affiliated to Nanjing Medical University, Nanjing, Jiangsu, China.,Functional Brain Imaging Institute of Nanjing Medical University, Nanjing, Jiangsu, China.,Cognitive Behavioral Therapy Institute of Nanjing Medical University, Nanjing, Jiangsu, China
| | - Yun Wu
- School of Psychology, Nanjing Normal University, Nanjing, Jiangsu, China.,Nanjing Brain Hospital Affiliated to Nanjing Medical University, Nanjing, Jiangsu, China.,Functional Brain Imaging Institute of Nanjing Medical University, Nanjing, Jiangsu, China.,Cognitive Behavioral Therapy Institute of Nanjing Medical University, Nanjing, Jiangsu, China
| | - Peter T Fox
- Nanjing Brain Hospital Affiliated to Nanjing Medical University, Nanjing, Jiangsu, China.,Functional Brain Imaging Institute of Nanjing Medical University, Nanjing, Jiangsu, China.,South Texas Veterans Healthcare System, University of Texas Health San Antonio, San Antonio, United States.,Research Imaging Institute, University of Texas Health San Antonio, San Antonio, United States
| | - Ning Zhang
- Nanjing Brain Hospital Affiliated to Nanjing Medical University, Nanjing, Jiangsu, China.,Functional Brain Imaging Institute of Nanjing Medical University, Nanjing, Jiangsu, China.,Cognitive Behavioral Therapy Institute of Nanjing Medical University, Nanjing, Jiangsu, China
| | - Chun Wang
- Nanjing Brain Hospital Affiliated to Nanjing Medical University, Nanjing, Jiangsu, China.,Functional Brain Imaging Institute of Nanjing Medical University, Nanjing, Jiangsu, China.,Cognitive Behavioral Therapy Institute of Nanjing Medical University, Nanjing, Jiangsu, China
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21
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Toma S, Islam AH, Metcalfe AWS, Mitchell RHB, Fiksenbaum L, MacIntosh BJ, Goldstein BI. Cortical Volume and Thickness Across Bipolar Disorder Subtypes in Adolescents: A Preliminary Study. J Child Adolesc Psychopharmacol 2019; 29:141-151. [PMID: 30359542 DOI: 10.1089/cap.2017.0137] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
OBJECTIVES Neuroimaging studies of adults with bipolar disorder (BD) have identified several BD subtype distinctions, including greater deficits in prefrontal gray matter volumes in BD-I (bipolar I disorder) compared to BD-II (bipolar II disorder). We sought to investigate BD subtype differences in brain structure among adolescents and young adults. METHODS Forty-four youth with BD (14 BD-I, 16 BD-II, and 14 BD-not otherwise specified [NOS], mean age 17) underwent 3T-MRI and images were analyzed using FreeSurfer software. Cortical volume and thickness were analyzed for region of interest (ROI): ventrolateral prefrontal cortex, ventromedial prefrontal cortex, anterior cingulate cortex (ACC), subgenual cingulate cortex, and amygdala, controlling for age, sex, and total intracranial volume. ROIs were selected as found to be implicated in BD in prior studies. A whole brain vertex-wise exploratory analysis was also performed. Uncorrected results are presented. RESULTS There were group differences in ACC thickness (F = 3.88, p = 0.03, η2 = 0.173 uncorrected), which was reduced in BD-II in comparison to BD-I (p = 0.027 uncorrected) and BD-NOS (p = 0.019 uncorrected). These results did not survive correction for multiple comparisons and no other group differences were observed. The exploratory vertex-wise analysis found a similar pattern of lower cortical thickness in BD-II in the left and right superior frontal gyrus and left caudal middle frontal gyrus. CONCLUSIONS This study found reduced cortical thickness for youth with BD-II, relative to BD-I, in regions associated with cognitive control. Further neurostructural differences between subtypes may emerge later during the course of illness.
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Affiliation(s)
- Simina Toma
- 1 Centre for Youth Bipolar Disorder , Sunnybrook Health Sciences Centre, Toronto, Canada .,2 Department of Psychiatry, University of Toronto , Toronto, Canada
| | - Alvi H Islam
- 1 Centre for Youth Bipolar Disorder , Sunnybrook Health Sciences Centre, Toronto, Canada .,2 Department of Psychiatry, University of Toronto , Toronto, Canada
| | - Arron W S Metcalfe
- 1 Centre for Youth Bipolar Disorder , Sunnybrook Health Sciences Centre, Toronto, Canada .,3 Brain Sciences , Sunnybrook Health Sciences Centre, Toronto, Canada .,4 Heart and Stroke Foundation Canadian Partnership for Stroke Recovery , Sunnybrook Health Sciences Centre, Toronto, Canada
| | - Rachel H B Mitchell
- 1 Centre for Youth Bipolar Disorder , Sunnybrook Health Sciences Centre, Toronto, Canada .,2 Department of Psychiatry, University of Toronto , Toronto, Canada
| | - Lisa Fiksenbaum
- 1 Centre for Youth Bipolar Disorder , Sunnybrook Health Sciences Centre, Toronto, Canada
| | - Bradley J MacIntosh
- 3 Brain Sciences , Sunnybrook Health Sciences Centre, Toronto, Canada .,4 Heart and Stroke Foundation Canadian Partnership for Stroke Recovery , Sunnybrook Health Sciences Centre, Toronto, Canada .,5 Department of Medical Biophysics, University of Toronto , Toronto, Canada .,6 Department of Physical Sciences, Sunnybrook Health Sciences Centre , Toronto, Canada
| | - Benjamin I Goldstein
- 1 Centre for Youth Bipolar Disorder , Sunnybrook Health Sciences Centre, Toronto, Canada .,2 Department of Psychiatry, University of Toronto , Toronto, Canada .,4 Heart and Stroke Foundation Canadian Partnership for Stroke Recovery , Sunnybrook Health Sciences Centre, Toronto, Canada .,7 Department of Pharmacology, University of Toronto , Toronto, Canada
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22
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Chakrabarty T, Yatham LN. Objective and biological markers in bipolar spectrum presentations. Expert Rev Neurother 2019; 19:195-209. [PMID: 30761925 DOI: 10.1080/14737175.2019.1580145] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
Abstract
INTRODUCTION Subthreshold presentations of bipolarity (BSPs) pose a diagnostic conundrum, in terms of whether they should be conceptualized and treated similarly as traditionally defined bipolar disorders (BD). While it has been argued that BSPs are on a pathophysiologic continuum with traditionally defined BDs, there has been limited examination of biological and objective markers in these presentations to validate this assertion. Areas covered: The authors review studies examining genetic, neurobiological, cognitive and peripheral markers in BSPs, encompassing clinical and non-clinical populations with subthreshold hypo/manic symptoms. Results are placed in the context of previously identified markers in traditionally defined BDs. Expert commentary: There have been few studies of objective and biological markers in subthreshold presentations of BD, and results are mixed. While abnormalities in brain structure/functioning, peripheral inflammatory, and cognitive markers have been reported, it is unclear whether these findings are specific to BD or indicative of broad affective pathology. However, some studies suggest that increased sensitivity to reward and positive stimuli are shared between subthreshold and traditionally defined BDs, and may represent a point of departure from unipolar major depression. Further examination of such markers may improve understanding of subthreshold bipolar presentations, and provide guidance in terms of therapeutic strategies.
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Affiliation(s)
- Trisha Chakrabarty
- a Department of Psychiatry , University of British Columbia , Vancouver , BC , Canada
| | - Lakshmi N Yatham
- a Department of Psychiatry , University of British Columbia , Vancouver , BC , Canada
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23
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Reed GM, First MB, Kogan CS, Hyman SE, Gureje O, Gaebel W, Maj M, Stein DJ, Maercker A, Tyrer P, Claudino A, Garralda E, Salvador‐Carulla L, Ray R, Saunders JB, Dua T, Poznyak V, Medina‐Mora ME, Pike KM, Ayuso‐Mateos JL, Kanba S, Keeley JW, Khoury B, Krasnov VN, Kulygina M, Lovell AM, de Jesus Mari J, Maruta T, Matsumoto C, Rebello TJ, Roberts MC, Robles R, Sharan P, Zhao M, Jablensky A, Udomratn P, Rahimi‐Movaghar A, Rydelius P, Bährer‐Kohler S, Watts AD, Saxena S. Innovations and changes in the ICD-11 classification of mental, behavioural and neurodevelopmental disorders. World Psychiatry 2019; 18:3-19. [PMID: 30600616 PMCID: PMC6313247 DOI: 10.1002/wps.20611] [Citation(s) in RCA: 305] [Impact Index Per Article: 61.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
Following approval of the ICD-11 by the World Health Assembly in May 2019, World Health Organization (WHO) member states will transition from the ICD-10 to the ICD-11, with reporting of health statistics based on the new system to begin on January 1, 2022. The WHO Department of Mental Health and Substance Abuse will publish Clinical Descriptions and Diagnostic Guidelines (CDDG) for ICD-11 Mental, Behavioural and Neurodevelopmental Disorders following ICD-11's approval. The development of the ICD-11 CDDG over the past decade, based on the principles of clinical utility and global applicability, has been the most broadly international, multilingual, multidisciplinary and participative revision process ever implemented for a classification of mental disorders. Innovations in the ICD-11 include the provision of consistent and systematically characterized information, the adoption of a lifespan approach, and culture-related guidance for each disorder. Dimensional approaches have been incorporated into the classification, particularly for personality disorders and primary psychotic disorders, in ways that are consistent with current evidence, are more compatible with recovery-based approaches, eliminate artificial comorbidity, and more effectively capture changes over time. Here we describe major changes to the structure of the ICD-11 classification of mental disorders as compared to the ICD-10, and the development of two new ICD-11 chapters relevant to mental health practice. We illustrate a set of new categories that have been added to the ICD-11 and present the rationale for their inclusion. Finally, we provide a description of the important changes that have been made in each ICD-11 disorder grouping. This information is intended to be useful for both clinicians and researchers in orienting themselves to the ICD-11 and in preparing for implementation in their own professional contexts.
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Affiliation(s)
- Geoffrey M. Reed
- Department of Mental Health and Substance AbuseWorld Health OrganizationGenevaSwitzerland,Department of PsychiatryColumbia University Medical CenterNew YorkNYUSA
| | - Michael B. First
- Department of PsychiatryColumbia University Medical CenterNew YorkNYUSA,New York State Psychiatric InstituteNew YorkNYUSA
| | - Cary S. Kogan
- School of PsychologyUniversity of OttawaOttawaONCanada
| | - Steven E. Hyman
- Stanley Center for Psychiatric ResearchBroad Institute of Harvard and Massachusetts Institute of TechnologyCambridgeMAUSA
| | - Oye Gureje
- Department of PsychiatryUniversity of IbadanIbadanNigeria
| | - Wolfgang Gaebel
- Department of Psychiatry and Psychotherapy, Medical FacultyHeinrich‐Heine UniversityDüsseldorfGermany
| | - Mario Maj
- Department of PsychiatryUniversity of Campania “L. Vanvitelli”NaplesItaly
| | - Dan J. Stein
- Department of PsychiatryUniversity of Cape Town, and South African Medical Research Council Unit on Risk and Resilience in Mental DisordersCape TownSouth Africa
| | | | - Peter Tyrer
- Centre for Mental HealthImperial CollegeLondonUK
| | - Angelica Claudino
- Department of PsychiatryUniversidade Federal de São Paulo (UNIFESP/EPM)São PauloBrazil
| | | | - Luis Salvador‐Carulla
- Research School of Population HealthAustralian National UniversityCanberraACTAustralia
| | - Rajat Ray
- National Drug Dependence Treatment Centre, All India Institute of Medical Sciences, New Delhi, India
| | - John B. Saunders
- Centre for Youth Substance Abuse ResearchUniversity of QueenslandBrisbaneQLDAustralia
| | - Tarun Dua
- Department of Mental Health and Substance AbuseWorld Health OrganizationGenevaSwitzerland
| | - Vladimir Poznyak
- Department of Mental Health and Substance AbuseWorld Health OrganizationGenevaSwitzerland
| | | | - Kathleen M. Pike
- Department of PsychiatryColumbia University Medical CenterNew YorkNYUSA
| | - José L. Ayuso‐Mateos
- Department of PsychiatryUniversidad Autonoma de Madrid; Instituto de Salud Carlos III, Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM); Instituto de Investigación Sanitaria La PrincesaMadridSpain
| | | | - Jared W. Keeley
- Department of PsychologyVirginia Commonwealth UniversityRichmondVAUSA
| | - Brigitte Khoury
- Department of PsychiatryAmerican University of Beirut Medical CenterBeirutLebanon
| | - Valery N. Krasnov
- Moscow Research Institute of PsychiatryNational Medical Research Centre for Psychiatry and NarcologyMoscowRussian Federation
| | - Maya Kulygina
- Moscow Research Institute of PsychiatryNational Medical Research Centre for Psychiatry and NarcologyMoscowRussian Federation
| | - Anne M. Lovell
- Institut National de la Santé et de la Recherche Médicale U988ParisFrance
| | - Jair de Jesus Mari
- Department of PsychiatryUniversidade Federal de São Paulo (UNIFESP/EPM)São PauloBrazil
| | | | | | - Tahilia J. Rebello
- Department of PsychiatryColumbia University Medical CenterNew YorkNYUSA,New York State Psychiatric InstituteNew YorkNYUSA
| | - Michael C. Roberts
- Office of Graduate Studies and Clinical Child Psychology ProgramUniversity of KansasLawrenceKSUSA
| | - Rebeca Robles
- National Institute of Psychiatry Ramón de la Fuente MuñizMexico CityMexico
| | - Pratap Sharan
- Department of PsychiatryAll India Institute of Medical SciencesNew DelhiIndia
| | - Min Zhao
- Shanghai Mental Health Center and Department of PsychiatryShanghai Jiao Tong University School of MedicineShanghaiPeople's Republic of China
| | - Assen Jablensky
- Centre for Clinical Research in NeuropsychiatryUniversity of Western AustraliaPerthWAAustralia
| | - Pichet Udomratn
- Department of PsychiatryPrince of Songkla UniversityHat YaiThailand
| | - Afarin Rahimi‐Movaghar
- Iranian National Center for Addiction Studies, Tehran University of Medical SciencesTehranIran
| | - Per‐Anders Rydelius
- Department of Child and Adolescent PsychiatryKarolinska InstituteStockholmSweden
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24
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Chen G, Zhao L, Jia Y, Zhong S, Chen F, Luo X, Qiu S, Lai S, Qi Z, Huang L, Wang Y. Abnormal cerebellum-DMN regions connectivity in unmedicated bipolar II disorder. J Affect Disord 2019; 243:441-447. [PMID: 30273882 DOI: 10.1016/j.jad.2018.09.076] [Citation(s) in RCA: 35] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/28/2018] [Revised: 08/29/2018] [Accepted: 09/20/2018] [Indexed: 12/11/2022]
Abstract
OBJECTIVE Bipolar disorder (BD) is a common psychiatric disease. Previous studies have found abnormalities in structural and functional brain connectivity in BD patients. However, few studies have focused on the functional connectivity (FC) of the cerebellum and its sub-regions in patients with BD. The present study aimed to examine the FC of cerebellum-default mode network (DMN) regions in patients with BD II. METHOD Ninety patients with unmedicated BD II depression and 100 healthy controls (HCs) underwent resting-state functional magnetic resonance imaging. We selected three pairs of subregions of the cerebellum that are DMN-related (the bilateral Crus I, Crus II, and lobule IX) as seed regions and calculated the whole brain FC for each subregion. RESULTS Compared with the HCs, the patients with BD II depression showed increased connectivity between the right Crus I and bilateral precuneus and decreased connectivity between the left Crus II and bilateral medial prefrontal cortex (mPFC) and between the left Crus II and right medial frontal gyrus (MFG). There was no significant difference in the whole FC of the left Crus I and bilateral lobule IX between the BD II depression group and the HCs group. LIMITATIONS This study was cross-sectional and did not examine data from euthymic BD patients. CONCLUSIONS The findings showed impaired FC of cerebellum-DMN regions in BD; partial FC between the Crus I and precuneus and the Crus II and prefrontal cortex suggests the importance of abnormal cerebellum-DMN regions FC in the pathophysiology of BD.
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Affiliation(s)
- Guanmao Chen
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou 510630, China; Institute of Molecular and Functional Imaging, Jinan University, Guangzhou 510630, China
| | - Lianping Zhao
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou 510630, China; Department of Radiology, Gansu Provincial Hospital, Gansu 730000, China
| | - Yanbin Jia
- Department of Psychiatry, First Affiliated Hospital of Jinan University, Guangzhou 510630, China
| | - Shuming Zhong
- Department of Psychiatry, First Affiliated Hospital of Jinan University, Guangzhou 510630, China
| | - Feng Chen
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou 510630, China; Institute of Molecular and Functional Imaging, Jinan University, Guangzhou 510630, China
| | - Xiaomei Luo
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou 510630, China; Institute of Molecular and Functional Imaging, Jinan University, Guangzhou 510630, China
| | - Shaojuan Qiu
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou 510630, China; Institute of Molecular and Functional Imaging, Jinan University, Guangzhou 510630, China
| | - Shunkai Lai
- Department of Psychiatry, First Affiliated Hospital of Jinan University, Guangzhou 510630, China
| | - Zhangzhang Qi
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou 510630, China; Institute of Molecular and Functional Imaging, Jinan University, Guangzhou 510630, China
| | - Li Huang
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou 510630, China; Institute of Molecular and Functional Imaging, Jinan University, Guangzhou 510630, China.
| | - Ying Wang
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou 510630, China; Institute of Molecular and Functional Imaging, Jinan University, Guangzhou 510630, China.
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Gong J, Chen G, Jia Y, Zhong S, Zhao L, Luo X, Qiu S, Lai S, Qi Z, Huang L, Wang Y. Disrupted functional connectivity within the default mode network and salience network in unmedicated bipolar II disorder. Prog Neuropsychopharmacol Biol Psychiatry 2019; 88:11-18. [PMID: 29958116 DOI: 10.1016/j.pnpbp.2018.06.012] [Citation(s) in RCA: 48] [Impact Index Per Article: 9.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/27/2018] [Revised: 06/19/2018] [Accepted: 06/23/2018] [Indexed: 01/10/2023]
Abstract
BACKGROUND Recent studies demonstrate that functional disruption in resting-state networks contributes to cognitive and affective symptoms of bipolar disorder (BD), however, the functional connectivity (FC) pattern underlying BD II depression within the default mode network (DMN), salience network (SN), and frontoparietal network (FPN) is still not well understood. The primary aim of this study was to explore whether the pathophysiology of BD II derived from the pattern of FC within the DMN, SN, and FPN by using seed-based FC approach of resting-state functional magnetic resonance imaging (rs-fMRI). METHODS Ninety-six BD II patients and 100 HCs underwent rs-fMRI and three-dimensional structural data acquisition. All patients were either drug naive or unmedicated for at least 6 months. The following four regions of interest were used to conduct seed-based FC: the left posterior cingulate cortex (PCC) seed to probe the DMN, the left subgenual anterior cingulate cortex (sgACC) and amygdala seeds to probe the SN, the left dorsal lateral prefrontal cortex (dlPFC) seed to probe the FPN. RESULTS Compared with HCs, patients with BD II demonstrated hypoconnectivity of the left PCC to the bilateral medial prefrontal cortex (mPFC) and bilateral precuneus/PCC, and of the left sgACC to the right inferior temporal gyrus (ITG); nevertheless, the left amygdala and dlPFC had no within-network hypo- or hyperconnectivity to any other SN and FPN regions. CONCLUSION Our findings suggest that disrupted FC is located in the DMN and SN, especially in the PCC-mPFC and precuneus/PCC, and sgACC-ITG connectivity in BD II patients.
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Affiliation(s)
- JiaYing Gong
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou 510630, China; Department of Radiology, Six Affiliated Hospital of Sun Yat-sen University, Guangzhou 510655, China
| | - Guanmao Chen
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou 510630, China
| | - Yanbin Jia
- Department of Psychiatry, First Affiliated Hospital of Jinan University, Guangzhou 510630, China
| | - Shuming Zhong
- Department of Psychiatry, First Affiliated Hospital of Jinan University, Guangzhou 510630, China
| | - Lianping Zhao
- Department of Radiology, Gansu Provincial Hospital, Gansu 730000, China
| | - Xiaomei Luo
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou 510630, China
| | - Shaojuan Qiu
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou 510630, China
| | - Shunkai Lai
- Department of Psychiatry, First Affiliated Hospital of Jinan University, Guangzhou 510630, China
| | - Zhangzhang Qi
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou 510630, China
| | - Li Huang
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou 510630, China.
| | - Ying Wang
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou 510630, China.
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Lee HA, Kim JS, Lee YJ, Heo NH, Shim SH, Kwon YJ. Differences in Psychopathology between Offspring of Parents with Bipolar I Disorder and Those with Bipolar II Disorder: A Cross-Sectional Study. Psychiatry Investig 2018; 15:1135-1143. [PMID: 30360028 PMCID: PMC6318491 DOI: 10.30773/pi.2018.10.22.1] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/29/2018] [Accepted: 10/22/2018] [Indexed: 11/27/2022] Open
Abstract
OBJECTIVE The aim of this study was to evaluate differences in psychopathology between offspring of parents with bipolar I disorder (BP-I) and those with bipolar II disorder (BP-II). METHODS The sample included 201 offspring between 6 and 17 years of age who had at least one parent with BP-I or BP-II. The offspring were diagnostically evaluated using the Korean Kiddie-Schedule for Affective Disorders and Schizophrenia-Present and Lifetime Version. Psychopathology and Clinical characteristics were evaluated, including lifetime DSM-5 diagnoses, depression, and childhood trauma. Lifetime DSM-5 diagnoses were also compared between schoolchildren aged 6 to 11 years and adolescents aged 12 to 17 years. RESULTS In lifetime DSM-5 diagnoses, offspring of parents with BP-I had significantly increased risk of developing MDD and BP-I than those with BP-II. Regarding clinical characteristics, ADHD rating scale and childhood trauma scale were significantly higher in offspring of parents with BP-I than that in those with BP-II. CONCLUSION The present study supports that BP-I may be etiologically distinct from BP-II by a possible genetic liability. Our findings indicate that additional research related to bipolar offspring is needed to enhance understanding of differences between BP-I and BP-II.
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Affiliation(s)
- Hyeon-Ah Lee
- Department of Psychiatry, Cheonan Hospital, College of Medicine, Soonchunhyang University, Cheonan, Republic of Korea
| | - Ji-Sun Kim
- Department of Psychiatry, Cheonan Hospital, College of Medicine, Soonchunhyang University, Cheonan, Republic of Korea
| | - Yeon-Jung Lee
- Department of Psychiatry, Seoul Hospital, College of Medicine, Soonchunhyang University, Seoul, Republic of Korea
| | - Nam-Hun Heo
- Department of Psychiatry, Cheonan Hospital, College of Medicine, Soonchunhyang University, Cheonan, Republic of Korea
| | - Se-Hoon Shim
- Department of Psychiatry, Cheonan Hospital, College of Medicine, Soonchunhyang University, Cheonan, Republic of Korea
| | - Young-Joon Kwon
- Department of Psychiatry, Cheonan Hospital, College of Medicine, Soonchunhyang University, Cheonan, Republic of Korea
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Minuzzi L, Syan SK, Smith M, Hall A, Hall GB, Frey BN. Structural and functional changes in the somatosensory cortex in euthymic females with bipolar disorder. Aust N Z J Psychiatry 2018; 52:1075-1083. [PMID: 29232965 DOI: 10.1177/0004867417746001] [Citation(s) in RCA: 40] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
OBJECTIVE Current evidence from neuroimaging data suggests possible dysfunction of the fronto-striatal-limbic circuits in individuals with bipolar disorder. Somatosensory cortical function has been implicated in emotional recognition, risk-taking and affective responses through sensory modalities. This study investigates anatomy and function of the somatosensory cortex in euthymic bipolar women. METHODS In total, 68 right-handed euthymic women (bipolar disorder = 32 and healthy controls = 36) between 16 and 45 years of age underwent high-resolution anatomical and functional magnetic resonance imaging during the mid-follicular menstrual phase. The somatosensory cortex was used as a seed region for resting-state functional connectivity analysis. Voxel-based morphometry was used to evaluate somatosensory cortical gray matter volume between groups. RESULTS We found increased resting-state functional connectivity between the somatosensory cortex and insular cortex, inferior prefrontal gyrus and frontal orbital cortex in euthymic bipolar disorder subjects compared to healthy controls. Voxel-based morphometry analysis showed decreased gray matter in the left somatosensory cortex in the bipolar disorder group. Whole-brain voxel-based morphometry analysis controlled by age did not reveal any additional significant difference between groups. CONCLUSION This study is the first to date to evaluate anatomy and function of the somatosensory cortex in a well-characterized sample of euthymic bipolar disorder females. Anatomical and functional changes in the somatosensory cortex in this population might contribute to the pathophysiology of bipolar disorder.
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Affiliation(s)
- Luciano Minuzzi
- 1 Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, ON, Canada.,2 MiNDS Neuroscience Graduate Program, McMaster University, Hamilton, ON, Canada.,3 Mood Disorders Program, St Joseph's Healthcare Hamilton, Hamilton, ON, Canada.,4 Women's Health Concerns Clinic, St Joseph's Healthcare Hamilton, Hamilton, ON, Canada
| | - Sabrina K Syan
- 2 MiNDS Neuroscience Graduate Program, McMaster University, Hamilton, ON, Canada.,4 Women's Health Concerns Clinic, St Joseph's Healthcare Hamilton, Hamilton, ON, Canada
| | - Mara Smith
- 1 Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, ON, Canada
| | - Alexander Hall
- 4 Women's Health Concerns Clinic, St Joseph's Healthcare Hamilton, Hamilton, ON, Canada
| | - Geoffrey Bc Hall
- 2 MiNDS Neuroscience Graduate Program, McMaster University, Hamilton, ON, Canada.,5 Department of Psychology, Neuroscience & Behaviour, McMaster University, Hamilton, ON, Canada
| | - Benicio N Frey
- 1 Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, ON, Canada.,2 MiNDS Neuroscience Graduate Program, McMaster University, Hamilton, ON, Canada.,3 Mood Disorders Program, St Joseph's Healthcare Hamilton, Hamilton, ON, Canada.,4 Women's Health Concerns Clinic, St Joseph's Healthcare Hamilton, Hamilton, ON, Canada
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Abé C, Rolstad S, Petrovic P, Ekman C, Sparding T, Ingvar M, Landén M. Bipolar disorder type I and II show distinct relationships between cortical thickness and executive function. Acta Psychiatr Scand 2018; 138:325-335. [PMID: 29907968 PMCID: PMC6175455 DOI: 10.1111/acps.12922] [Citation(s) in RCA: 30] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 05/31/2018] [Indexed: 12/13/2022]
Abstract
OBJECTIVE Frontal cortical abnormalities and executive function impairment co-occur in bipolar disorder. Recent studies have shown that bipolar subtypes differ in the degree of structural and functional impairments. The relationships between cognitive performance and cortical integrity have not been clarified and might differ across patients with bipolar disorder type I, II, and healthy subjects. METHOD Using a vertex-wise whole-brain analysis, we investigated how cortical integrity, as measured by cortical thickness, correlates with executive performance in patients with bipolar disorder type I, II, and controls (N = 160). RESULTS We found focal associations between executive function and cortical thickness in the medial prefrontal cortex in bipolar II patients and controls, but not in bipolar I disorder. In bipolar II patients, we observed additional correlations in lateral prefrontal and occipital regions. CONCLUSIONS Our findings suggest that bipolar disorder patients show altered structure-function relationships, and importantly that those relationships may differ between bipolar subtypes. The findings are line with studies suggesting subtype-specific neurobiological and cognitive profiles. This study contributes to a better understanding of brain structure-function relationships in bipolar disorder and gives important insights into the neuropathophysiology of diagnostic subtypes.
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Affiliation(s)
- C. Abé
- Department of Clinical NeuroscienceKarolinska InstitutetStockholmSweden
| | - S. Rolstad
- Institute of Neuroscience and PhysiologySahlgrenska Academy at the Gothenburg UniversityGothenburgSweden
| | - P. Petrovic
- Department of Clinical NeuroscienceKarolinska InstitutetStockholmSweden
| | - C.‐J. Ekman
- Department of Clinical NeuroscienceKarolinska InstitutetStockholmSweden
| | - T. Sparding
- Institute of Neuroscience and PhysiologySahlgrenska Academy at the Gothenburg UniversityGothenburgSweden
| | - M. Ingvar
- Department of Clinical NeuroscienceKarolinska InstitutetStockholmSweden
| | - M. Landén
- Department of Clinical NeuroscienceKarolinska InstitutetStockholmSweden,Institute of Neuroscience and PhysiologySahlgrenska Academy at the Gothenburg UniversityGothenburgSweden,Center for Experimental Drugs and DiagnosticsMassachusetts General HospitalHarvard Medical SchoolBostonMAUSA
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Global grey matter volume in adult bipolar patients with and without lithium treatment: A meta-analysis. J Affect Disord 2018; 225:599-606. [PMID: 28886501 DOI: 10.1016/j.jad.2017.08.078] [Citation(s) in RCA: 49] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/12/2017] [Revised: 07/20/2017] [Accepted: 08/27/2017] [Indexed: 12/12/2022]
Abstract
OBJECTIVE The goal of this meta-analysis was to quantitatively summarize the evidence available on the differences in grey matter volume between lithium-treated and lithium-free bipolar patients. METHODS A systematic search was conducted in Cochrane Central, Embase, MEDLINE, and PsycINFO databases for original peer-reviewed journal articles that reported on global grey matter volume in lithium-medicated and lithium-free bipolar patients. Standard mean difference and Hedges' g were used to calculate effect size in a random-effects model. Risk of publication bias was assessed using Egger's test and quality of evidence was assessed using standard criteria. RESULTS There were 15 studies with a total of 854 patients (368 lithium-medicated, 486 lithium-free) included in the meta-analysis. Global grey matter volume was significantly larger in lithium-treated bipolar patients compared to lithium-free patients (SMD: 0.17, 95% CI: 0.01-0.33; z = 2.11, p = 0.035). Additionally, there was a difference in global grey matter volume between groups in studies that employed semi-automated segmentation methods (SMD: 0.66, 95% CI: 0.01-1.31; z = 1.99, p = 0.047), but no significant difference in studies that used fully-automated segmentation. No publication bias was detected (bias coefficient = - 0.65, p = 0.46). LIMITATIONS Variability in imaging methods and lack of high-quality evidence limits the interpretation of the findings. CONCLUSIONS Results suggest that lithium-treated patients have a greater global grey matter volume than those who were lithium-free. Further study of the relationship between lithium and grey matter volume may elucidate the therapeutic potential of lithium in conditions characterized by abnormal changes in brain structure.
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Luo X, Chen G, Jia Y, Gong J, Qiu S, Zhong S, Zhao L, Chen F, Lai S, Qi Z, Huang L, Wang Y. Disrupted Cerebellar Connectivity With the Central Executive Network and the Default-Mode Network in Unmedicated Bipolar II Disorder. Front Psychiatry 2018; 9:705. [PMID: 30618876 PMCID: PMC6305495 DOI: 10.3389/fpsyt.2018.00705] [Citation(s) in RCA: 38] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/18/2018] [Accepted: 12/03/2018] [Indexed: 11/25/2022] Open
Abstract
Objective: Bipolar disorder (BD) is a common psychiatric disease. Although structural and functional abnormalities of the cerebellum in BD patients have been reported by recent neuroimaging studies, the cerebellar-cerebral functional connectivity (FC) has not yet been examined. The present study aims to investigate the FC between the cerebellum and cerebrum, particularly the central executive network (CEN) and the default-mode network (DMN) in bipolar II disorder (BD II). Methods: Ninety-four patients with unmedicated BD II depression and 100 healthy controls (HCs) underwent the resting-state functional magnetic resonance imaging. Seed-based connectivity analyses were performed using cerebellar seeds previously identified as being involved in the CEN (bilateral Crus Ia) and DMN (bilateral Crus Ib). Results: Compared with HCs, BD II depression patients appeared decreased FC in the right Crus Ia-left dorsal lateral prefrontal cortex (dlPFC) and -left anterior cingulate cortex (ACC), the right Crus Ib-left medial prefrontal cortex (mPFC), -left middle temporal gyrus (MTG), and -left inferior temporal gyrus (ITG). No altered FC between the left Crus Ia or Crus Ib and the cerebral regions was found. Conclusions: Patients with BD II depression showed disrupted FC between the cerebellum and the CEN (mainly in the left dlPFC and ACC) and DMN (mainly in the left mPFC and temporal lobe), suggesting the significant role of the cerebellum-CEN and -DMN connectivity in the pathogenesis of BD.
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Affiliation(s)
- Xiaomei Luo
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou, China.,Institute of Molecular and Functional Imaging, Jinan University, Guangzhou, China
| | - Guanmao Chen
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou, China.,Institute of Molecular and Functional Imaging, Jinan University, Guangzhou, China
| | - Yanbin Jia
- Department of Psychiatry, First Affiliated Hospital of Jinan University, Guangzhou, China
| | - JiaYing Gong
- Institute of Molecular and Functional Imaging, Jinan University, Guangzhou, China.,The Sixth Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Shaojuan Qiu
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou, China.,Institute of Molecular and Functional Imaging, Jinan University, Guangzhou, China
| | - Shuming Zhong
- Department of Psychiatry, First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Lianping Zhao
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou, China.,Department of Radiology, Gansu Provincial Hospital, Lanzhou, China
| | - Feng Chen
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou, China.,Institute of Molecular and Functional Imaging, Jinan University, Guangzhou, China
| | - Shunkai Lai
- Department of Psychiatry, First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Zhangzhang Qi
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou, China.,Institute of Molecular and Functional Imaging, Jinan University, Guangzhou, China
| | - Li Huang
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou, China.,Institute of Molecular and Functional Imaging, Jinan University, Guangzhou, China
| | - Ying Wang
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou, China.,Institute of Molecular and Functional Imaging, Jinan University, Guangzhou, China
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32
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Zhu Q, Wang J, Fan H, Ma G, Zhang B, Shen C, Wang W. Blink reflex under external emotional-stimuli in bipolar I and II disorders. Psychiatry Res 2018; 259:520-525. [PMID: 29156424 DOI: 10.1016/j.psychres.2017.11.020] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/04/2017] [Revised: 11/02/2017] [Accepted: 11/04/2017] [Indexed: 11/17/2022]
Abstract
Bipolar disorder types I (BD I) and II (BD II) might present different cortico-brainstem circuit dysfunctions under external emotions, which might be reflected by the blink reflex. We therefore invited 32 BD I and 23 BD II patients, and 46 healthy volunteers to answer the Mood Disorder Questionnaire, the Hypomania Checklist-32, and the Plutchik - van Praag Depression inventory, and to undergo the blink reflex test under external emotions (emotional pictures plus sounds) of Disgust, Erotica, Fear, Happiness, and Sadness. Compared to healthy controls, BD I showed prolonged R2/R2' latencies under most emotions, and their PVP scores were negatively correlated with the areas under curve (AUCs) of R2 and R2' under Erotica; and BD II showed reduced R2/R2' AUCs under all emotions. Moreover, R2' AUCs under Disgust, Fear, and Happiness were significantly reduced in BD II than those in BD I. Our results have shown that, irrespective of patients' on-going affective states, the R2/R2' components were delayed in BD I but suppressed in BD II under most external emotions. Our study provides some hints to distinguish the two types of bipolar disorder, referring to the cortico-brainstem circuit dysfunctions under external emotions.
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Affiliation(s)
- Qisha Zhu
- Department of Clinical Psychology and Psychiatry/School of Public Health, Zhejiang University College of Medicine, Hangzhou, China
| | - Jiawei Wang
- Department of Clinical Psychology and Psychiatry/School of Public Health, Zhejiang University College of Medicine, Hangzhou, China
| | - Hongying Fan
- Department of Clinical Psychology and Psychiatry/School of Public Health, Zhejiang University College of Medicine, Hangzhou, China
| | - Guorong Ma
- Department of Clinical Psychology and Psychiatry/School of Public Health, Zhejiang University College of Medicine, Hangzhou, China
| | - Bingren Zhang
- Department of Clinical Psychology and Psychiatry/School of Public Health, Zhejiang University College of Medicine, Hangzhou, China
| | - Chanchan Shen
- Department of Clinical Psychology and Psychiatry/School of Public Health, Zhejiang University College of Medicine, Hangzhou, China
| | - Wei Wang
- Department of Clinical Psychology and Psychiatry/School of Public Health, Zhejiang University College of Medicine, Hangzhou, China.
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Lee J, Choi S, Kang J, Won E, Tae WS, Lee MS, Ham BJ. Structural characteristics of the brain reward circuit regions in patients with bipolar I disorder: A voxel-based morphometric study. Psychiatry Res Neuroimaging 2017; 269:82-89. [PMID: 28963911 DOI: 10.1016/j.pscychresns.2017.09.013] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/16/2017] [Revised: 08/11/2017] [Accepted: 09/18/2017] [Indexed: 12/30/2022]
Abstract
Bipolar I disorder (BD-I) is often misdiagnosed, leading to inadequate treatment and significant disability along with reduced quality of life. Recent neural models suggest that the reward circuitry is affected in bipolar disorder. The purpose of the present study was to identify structural abnormalities in the brain reward-processing neural circuitry among patients with BD-I. 21 patients with BD-I and 21 healthy controls (HC) participated in this study. Structural magnetic resonance imaging was performed. Region-of-interest (ROI) voxel-based morphometry analysis was applied to assess the presence of structural changes between the BD-I patient group and the control group. The results of the reward circuitry ROI analysis revealed lower gray matter volumes in the left ventromedial prefrontal cortex (VMPFC), left dorsomedial prefrontal cortex (DMPFC), and left ventrolateral prefrontal cortex (VLPFC) in patients with BD-I compared to HC. Our results suggest that abnormalities in the brain reward-processing neural circuitry, especially those in the left VMPFC, left DMPFC, and left VLPFC, may play an important role in the pathophysiology of BD-I.
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Affiliation(s)
- Junyong Lee
- Department of Psychiatry, Korea University Anam Hospital, Korea University College of Medicine, Seoul, Republic of Korea
| | - Sunyoung Choi
- Department of Brain and Cognitive Engineering, Korea University, Seoul, Republic of Korea
| | - June Kang
- Department of Biomedical Sciences, Korea University College of Medicine, Seoul, Republic of Korea
| | - Eunsoo Won
- Department of Psychiatry, Korea University Anam Hospital, Korea University College of Medicine, Seoul, Republic of Korea
| | - Woo-Suk Tae
- Brain Convergence Research Center, Korea University Anam Hospital, Seoul, Republic of Korea
| | - Min-Soo Lee
- Department of Psychiatry, Korea University Anam Hospital, Korea University College of Medicine, Seoul, Republic of Korea.
| | - Byung-Joo Ham
- Department of Psychiatry, Korea University Anam Hospital, Korea University College of Medicine, Seoul, Republic of Korea; Brain Convergence Research Center, Korea University Anam Hospital, Seoul, Republic of Korea.
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Ferro A, Bonivento C, Delvecchio G, Bellani M, Perlini C, Dusi N, Marinelli V, Ruggeri M, Altamura AC, Crespo-Facorro B, Brambilla P. Longitudinal investigation of the parietal lobe anatomy in bipolar disorder and its association with general functioning. Psychiatry Res Neuroimaging 2017; 267:22-31. [PMID: 28732208 DOI: 10.1016/j.pscychresns.2017.06.010] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/23/2016] [Revised: 05/18/2017] [Accepted: 06/18/2017] [Indexed: 01/21/2023]
Abstract
The parietal lobe (PL) supports cognitive domains, including attention and memory, which are impaired in bipolar disorder (BD). Although cross-sectional voxel-based morphometry studies found reduced PL grey matter (GM) in BD, none has longitudinally focused on PL anatomy in BD, relating it to patients' functioning. Thirty-eight right-handed BD patients and 42 matched healthy subjects (HS) underwent a Magnetic Resonance Imaging (MRI) scan at baseline. Seventeen BD patients and 16 matched HS underwent a follow-up MRI. PL white matter (WM) and GM volumes were measured. The trajectory of parietal volumes over time and the possible relation with the global functioning were investigated in both BD patients and HS. At baseline, BD patients showed significant reduced PL WM and GM and different WM laterality compared with HS. Furthermore, smaller PL WM volumes predicted lower global functioning in BD, but not in HS. At follow-up, although BD patients reported reduced PL WM compared with HS, no different pattern of volume changes over time was detected between groups. This study suggests the involvement of the PL in the pathophysiology of BD. In particular, PL WM reductions seem to predict an impairment in general functioning in BD and might represent a marker of functional outcome.
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Affiliation(s)
- Adele Ferro
- Dipartimento di Area Medica DAME Inter-University Center for Behavioral Neurosciences (ICBN), University of Udine, Udine, Italy; Department of Mental Health and Neurosciences, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, University of Milan, Milan, Italy
| | - Carolina Bonivento
- Dipartimento di Area Medica DAME Inter-University Center for Behavioral Neurosciences (ICBN), University of Udine, Udine, Italy
| | - Giuseppe Delvecchio
- Department of Mental Health and Neurosciences, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, University of Milan, Milan, Italy; IRCCS Scientific Institute, San Vito al Tagliamento, Pordenone, Italy
| | - Marcella Bellani
- Section of Psychiatry, Azienda Ospedaliera Universitaria Integrata Verona, Verona, Italy
| | - Cinzia Perlini
- Department of Neurosciences, Biomedicine and Movement Sciences, Section of Clinical Psychology, University of Verona, Verona, Italy
| | - Nicola Dusi
- Psychiatry Unit, Department of Mental Health, ASST-Nord Milano, Milan, Italy
| | - Veronica Marinelli
- Department of Mental Health and Neurosciences, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, University of Milan, Milan, Italy
| | | | - A Carlo Altamura
- Department of Mental Health and Neurosciences, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, University of Milan, Milan, Italy
| | - Benedicto Crespo-Facorro
- Department of Psychiatry, University Hospital Marqués de Valdecilla, School of Medicine, University of Cantabria-IDIVAL, Santander, Spain; CIBERSAM, Centro Investigación Biomédica en Red Salud Mental, Santander, Spain
| | - Paolo Brambilla
- Department of Mental Health and Neurosciences, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, University of Milan, Milan, Italy; Department of Psychiatry and Behavioral Sciences, University of Texas Health Science Center at Houston, TX, USA.
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Ishida T, Donishi T, Iwatani J, Yamada S, Takahashi S, Ukai S, Shinosaki K, Terada M, Kaneoke Y. Elucidating the aberrant brain regions in bipolar disorder using T1-weighted/T2-weighted magnetic resonance ratio images. Psychiatry Res Neuroimaging 2017; 263:76-84. [PMID: 28366873 DOI: 10.1016/j.pscychresns.2017.03.006] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/19/2016] [Revised: 02/22/2017] [Accepted: 03/17/2017] [Indexed: 01/28/2023]
Abstract
Although diffusion tensor imaging (DTI) have revealed brain abnormalities in bipolar disorder (BD) subjects, DTI methods might not detect disease-related abnormalities in the white matter (WM) where nerve fibers are crossing. We investigated BD myelin-related abnormal brain regions in both gray matter and WM for 29 BD and 33 healthy control (HC) participants using T1-weighted (T1w)/T2-weighted (T2w) ratio images that increase myelin-related contrast irrespective of nerve fiber orientation. To check effect of the brain volume, the results were compared with those of voxel-based morphometry (VBM). We found significantly lower T1w/T2w signal intensity in broad WM regions in BD subjects, including the corpus callosum, corona radiata, internal capsule, middle cerebellar peduncle and cerebellum. Regional volume reduction was found in the WM bilateral posterior thalami and retrolenticular part of the internal capsules of BD subjects. We also performed tract-based spatial statistics (TBSS) in 25 BD and 24 HC participants and compared those for the T1w/T2w ratio images. Both methods detected the BD corpus callosum abnormality. Further, the ratio images detected the corona radiata and the cerebellar abnormality in BD. These results suggest that T1w/T2w ratio image analysis could take a complementary role with the DTI method in elucidating myelin-related abnormalities in BD.
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Affiliation(s)
- Takuya Ishida
- Department of System Neurophysiology, and Graduate School of Wakayama Medical University, 811-1 Kimiidera, Wakayama 641-8509, Japan; Department of Neuropsychiatry, Graduate School of Wakayama Medical University, 811-1 Kimiidera, Wakayama 641-8509, Japan.
| | - Tomohiro Donishi
- Department of System Neurophysiology, and Graduate School of Wakayama Medical University, 811-1 Kimiidera, Wakayama 641-8509, Japan
| | - Jun Iwatani
- Department of Neuropsychiatry, Graduate School of Wakayama Medical University, 811-1 Kimiidera, Wakayama 641-8509, Japan
| | - Shinichi Yamada
- Department of Neuropsychiatry, Graduate School of Wakayama Medical University, 811-1 Kimiidera, Wakayama 641-8509, Japan
| | - Shun Takahashi
- Department of Neuropsychiatry, Graduate School of Wakayama Medical University, 811-1 Kimiidera, Wakayama 641-8509, Japan
| | - Satoshi Ukai
- Department of Neuropsychiatry, Graduate School of Wakayama Medical University, 811-1 Kimiidera, Wakayama 641-8509, Japan
| | - Kazuhiro Shinosaki
- Department of Neuropsychiatry, Graduate School of Wakayama Medical University, 811-1 Kimiidera, Wakayama 641-8509, Japan
| | - Masaki Terada
- Wakayama-Minami Radiology Clinic, 870-2 Kimiidera, Wakayama 641-0012, Japan
| | - Yoshiki Kaneoke
- Department of System Neurophysiology, and Graduate School of Wakayama Medical University, 811-1 Kimiidera, Wakayama 641-8509, Japan
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Ganzola R, Duchesne S. Voxel-based morphometry meta-analysis of gray and white matter finds significant areas of differences in bipolar patients from healthy controls. Bipolar Disord 2017; 19:74-83. [PMID: 28444949 DOI: 10.1111/bdi.12488] [Citation(s) in RCA: 36] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Revised: 03/06/2017] [Accepted: 03/12/2017] [Indexed: 12/15/2022]
Abstract
OBJECTIVE We present a retrospective meta-analysis of voxel-based morphometry (VBM) of gray (GM) and white matter (WM) differences between patients with bipolar disorder (BD) and behaviorally healthy controls. METHODS We used the activation likelihood estimation and Sleuth software for our meta-analysis, considering P-value maps at the cluster level inference of .05 with uncorrected P<.001. Results were visualized with the software MANGO. RESULTS We included twenty-five articles in the analysis, and separated the comparisons where BD patients had lower GM or WM concentrations than controls (573 subjects, 21 experiments, and 117 locations/180 subjects, five experiments, and 15 locations, respectively) and the comparisons where BD patients had greater GM concentrations than controls (217 subjects, nine experiments, and 49 locations). Higher WM concentrations in BD patients were not detected. We observed for BD reduced GM concentrations in the left medial frontal gyrus and right inferior/precentral gyri encompassing the insular cortex, and greater GM concentrations in the left putamen. Further, lower WM concentrations were detected in the left inferior longitudinal fasciculus, left superior corona radiata, and left posterior cingulum. CONCLUSIONS This meta-analysis confirms deterioration of frontal and insular regions as already found in previous meta-analysis. GM reductions in these regions could be related to emotional processing and decision making, which are typically impaired in BD. Moreover, we found abnormalities in precentral frontal areas and putamen that have been linked to more basic functions, which could point to sensory and specific cognitive deficits. Finally, WM reductions involved circuitry that may contribute to emotional dysregulation in BD.
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Affiliation(s)
- Rossana Ganzola
- Institut universitaire en santé mentale de Québec, Québec City, Québec, Canada
| | - Simon Duchesne
- Institut universitaire en santé mentale de Québec, Québec City, Québec, Canada.,Départment de Radiologie, Faculté de Médecine, Université Laval, Québec City, Québec, Canada
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Ekman CJ, Petrovic P, Johansson AGM, Sellgren C, Ingvar M, Landén M. A History of Psychosis in Bipolar Disorder is Associated With Gray Matter Volume Reduction. Schizophr Bull 2017; 43:99-107. [PMID: 27289116 PMCID: PMC5216851 DOI: 10.1093/schbul/sbw080] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
Psychotic symptoms are prevalent in schizophrenia, bipolar disorder, and other psychiatric and neurological disorders, yet the neurobiological underpinnings of psychosis remain obscure. In the last decade, a large number of magnetic resonance imaging studies have shown differences in local gray matter volume between patients with different psychiatric syndromes and healthy controls. Few studies have focused on the symptoms, which these syndromes are constituted of. Here, we test the association between psychosis and gray matter volume by using a sample of 167 subjects with bipolar disorder, with and without a history of psychosis, and 102 healthy controls. Magnetic resonance images were analyzed on group level using a voxel-wise mass univariate analysis (Voxel-Based Morphometry). We found that patients with a history of psychosis had smaller gray matter volume in left fusiform gyrus, the right rostral dorsolateral prefrontal cortex, and the left inferior frontal gyrus compared with patients without psychosis and with healthy controls. There was no volume difference in these areas between the no-psychosis group and healthy controls. These areas have previously been structurally and functionally coupled to delusions and hallucinations. Our finding adds further evidence to the probability of these regions as key areas in the development of psychotic symptoms.
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Affiliation(s)
- Carl Johan Ekman
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden;
| | - Predrag Petrovic
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | | | - Carl Sellgren
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Martin Ingvar
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Mikael Landén
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden;,Institute of Neuroscience and Physiology, The Sahlgrenska Academy at Gothenburg University, Gothenburg, Sweden
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Altamura AC, Delvecchio G, Marotta G, Oldani L, Pigoni A, Ciappolino V, Caletti E, Rovera C, Dobrea C, Arici C, Benatti B, Camuri G, Prunas C, Paoli RA, Dell'osso B, Cinnante C, Triulzi FM, Brambilla P. Structural and metabolic differentiation between bipolar disorder with psychosis and substance-induced psychosis: An integrated MRI/PET study. Eur Psychiatry 2016; 41:85-94. [PMID: 28049086 DOI: 10.1016/j.eurpsy.2016.09.009] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/23/2016] [Revised: 09/20/2016] [Accepted: 09/24/2016] [Indexed: 12/17/2022] Open
Abstract
BACKGROUND Bipolar disorder (BD) may be characterized by the presence of psychotic symptoms and comorbid substance abuse. In this context, structural and metabolic dysfunctions have been reported in both BD with psychosis and addiction, separately. In this study, we aimed at identifying neural substrates differentiating psychotic BD, with or without substance abuse, versus substance-induced psychosis (SIP) by coupling, for the first time, magnetic resonance imaging (MRI) and positron emission tomography (PET). METHODS Twenty-seven BD type I psychotic patients with (n=10) or without (n=17) substance abuse, 16 SIP patients and 54 healthy controls were enrolled in this study. 3T MRI and 18-FDG-PET scanning were acquired. RESULTS Gray matter (GM) volume and cerebral metabolism reductions in temporal cortices were observed in all patients compared to healthy controls. Moreover, a distinct pattern of fronto-limbic alterations were found in patients with substance abuse. Specifically, BD patients with substance abuse showed volume reductions in ventrolateral prefrontal cortex, anterior cingulate, insula and thalamus, whereas SIP patients in dorsolateral prefrontal cortex and posterior cingulate. Common alterations in cerebellum, parahippocampus and posterior cingulate were found in both BD with substance abuse and SIP. Finally, a unique pattern of GM volumes reduction, with concomitant increased of striatal metabolism, were observed in SIP patients. CONCLUSIONS These findings contribute to shed light on the identification of common and distinct neural markers associated with bipolar psychosis and substance abuse. Future longitudinal studies should explore the effect of single substances of abuse in patients at the first-episode of BD and substance-induced psychosis.
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Affiliation(s)
- A C Altamura
- Department of Neurosciences and Mental Health, Institute of Psychiatry, Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico, University of Milan, Milan, Italy
| | - G Delvecchio
- Scientific Institute IRCCS "E. Medea", San Vito al Tagliamento (PN), Italy
| | - G Marotta
- Department of Services, Neuroradiology Unit, Nuclear Medicine Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - L Oldani
- Department of Neurosciences and Mental Health, Institute of Psychiatry, Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico, University of Milan, Milan, Italy
| | - A Pigoni
- Department of Neurosciences and Mental Health, Institute of Psychiatry, Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico, University of Milan, Milan, Italy
| | - V Ciappolino
- Department of Neurosciences and Mental Health, Institute of Psychiatry, Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico, University of Milan, Milan, Italy
| | - E Caletti
- Department of Neurosciences and Mental Health, Institute of Psychiatry, Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico, University of Milan, Milan, Italy
| | - C Rovera
- Department of Neurosciences and Mental Health, Institute of Psychiatry, Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico, University of Milan, Milan, Italy
| | - C Dobrea
- Department of Neurosciences and Mental Health, Institute of Psychiatry, Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico, University of Milan, Milan, Italy
| | - C Arici
- Department of Neurosciences and Mental Health, Institute of Psychiatry, Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico, University of Milan, Milan, Italy
| | - B Benatti
- Department of Neurosciences and Mental Health, Institute of Psychiatry, Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico, University of Milan, Milan, Italy
| | - G Camuri
- Department of Neurosciences and Mental Health, Institute of Psychiatry, Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico, University of Milan, Milan, Italy
| | - C Prunas
- Department of Neurosciences and Mental Health, Institute of Psychiatry, Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico, University of Milan, Milan, Italy
| | - R A Paoli
- Department of Neurosciences and Mental Health, Institute of Psychiatry, Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico, University of Milan, Milan, Italy
| | - B Dell'osso
- Department of Neurosciences and Mental Health, Institute of Psychiatry, Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico, University of Milan, Milan, Italy; Department of Psychiatry, Bipolar Disorders Clinic, Stanford University, CA, USA
| | - C Cinnante
- Department of Services, Neuroradiology Unit, Nuclear Medicine Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - F M Triulzi
- Department of Services, Neuroradiology Unit, Nuclear Medicine Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - P Brambilla
- Department of Neurosciences and Mental Health, Institute of Psychiatry, Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico, University of Milan, Milan, Italy; Department of Psychiatry and Behavioural Neurosciences, University of Texas at Houston, Houston, TX, USA.
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Abé C, Ekman CJ, Sellgren C, Petrovic P, Ingvar M, Landén M. Cortical thickness, volume and surface area in patients with bipolar disorder types I and II. J Psychiatry Neurosci 2016; 41:240-50. [PMID: 26645741 PMCID: PMC4915933 DOI: 10.1503/jpn.150093] [Citation(s) in RCA: 88] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
Abstract
BACKGROUND Bipolar disorder (BD) is a common chronic psychiatric disorder mainly characterized by episodes of mania, hypomania and depression. The disorder is associated with cognitive impairments and structural brain abnormalities, such as lower cortical volumes in primarily frontal brain regions than healthy controls. Although bipolar disorder types I (BDI) and II (BDII) exhibit different symptoms and severity, previous studies have focused on BDI. Furthermore, the most frequently investigated measure in this population is cortical volume. The aim of our study was to investigate abnormalities in patients with BDI and BDII by simultaneously analyzing cortical volume, thickness and surface area, which yields more information about disease- and symptom-related neurobiology. METHODS We used MRI to measure cortical volume, thickness and area in patients with BDI and BDII as well as in healthy controls. The large study cohort enabled us to adjust for important confounding factors. RESULTS We included 81 patients with BDI, 59 with BDII and 85 controls in our analyses. Cortical volume, thickness and surface area abnormalities were present in frontal, temporal and medial occipital regions in patients with BD. Lithium and antiepileptic drug use had an effect on the observed differences in medial occipital regions. Patients with the subtypes BDI and BDII displayed common cortical abnormalities, such as lower volume, thickness and surface area than healthy controls in frontal brain regions but differed in temporal and medial prefrontal regions, where only those with BDI had abnormally low cortical volume and thickness. LIMITATIONS The group differences can be explained by progressive changes, but also by premorbid conditions. They could also have been influenced by unknown factors, such as social, environmental or genetic factors. CONCLUSION Our findings suggest diagnosis-related neurobiological differences between the BD subtypes, which could explain distinct symptoms and point to potential biomarkers that could inform the subtype diagnosis of BD.
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Affiliation(s)
- Christoph Abé
- Correspondence to: C. Abé, Department of Clinical Neuroscience, Osher Center, Karolinska Institutet, Nobelsväg 9, 17177 Stockholm, Sweden;
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Hozer F, Houenou J. Can neuroimaging disentangle bipolar disorder? J Affect Disord 2016; 195:199-214. [PMID: 26896814 DOI: 10.1016/j.jad.2016.01.039] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/11/2015] [Revised: 01/02/2016] [Accepted: 01/24/2016] [Indexed: 01/03/2023]
Abstract
BACKGROUND Bipolar disorder heterogeneity is large, leading to difficulties in identifying neuropathophysiological and etiological mechanisms and hindering the formation of clinically homogeneous patient groups in clinical trials. Identifying markers of clinically more homogeneous groups would help disentangle BD heterogeneity. Neuroimaging may aid in identifying such groups by highlighting specific biomarkers of BD subtypes or clinical dimensions. METHODS We performed a systematic literature search of the neuroimaging literature assessing biomarkers of relevant BD phenotypes (type-I vs. II, presence vs. absence of psychotic features, suicidal behavior and impulsivity, rapid cycling, good vs. poor medication response, age at onset, cognitive performance and circadian abnormalities). RESULTS Consistent biomarkers were associated with suicidal behavior, i.e. frontal/anterior alterations (prefrontal and cingulate grey matter, prefrontal white matter) in patients with a history of suicide attempts; and with cognitive performance, i.e. involvement of frontal and temporal regions, superior and inferior longitudinal fasciculus, right thalamic radiation, and corpus callosum in executive dysfunctions. For the other dimensions and sub-types studied, no consistent biomarkers were identified. LIMITATIONS Studies were heterogeneous both in methodology and outcome. CONCLUSIONS Though theoretically promising, neuroimaging has not yet proven capable of disentangling subtypes and dimensions of bipolar disorder, due to high between-study heterogeneity. We issue recommendations for future studies.
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Affiliation(s)
- Franz Hozer
- Neurospin, UNIACT, Psychiatry Team, I2BM, CEA Saclay, F-91191 Gif-Sur-Yvette, France; INSERM U955, IMRB, Université Paris Est, Equipe 15 "Psychiatrie Translationnelle", Créteil F-94000, France; Fondation Fondamental, Créteil F-94010, France
| | - Josselin Houenou
- Neurospin, UNIACT, Psychiatry Team, I2BM, CEA Saclay, F-91191 Gif-Sur-Yvette, France; INSERM U955, IMRB, Université Paris Est, Equipe 15 "Psychiatrie Translationnelle", Créteil F-94000, France; Fondation Fondamental, Créteil F-94010, France; AP-HP, Hôpitaux Universitaires Mondor, DHU PePsy, Pôle de Psychiatrie, Créteil F-94000, France.
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41
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Mwangi B, Wu MJ, Cao B, Passos IC, Lavagnino L, Keser Z, Zunta-Soares GB, Hasan KM, Kapczinski F, Soares JC. Individualized Prediction and Clinical Staging of Bipolar Disorders using Neuroanatomical Biomarkers. BIOLOGICAL PSYCHIATRY: COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2016; 1:186-194. [PMID: 27047994 DOI: 10.1016/j.bpsc.2016.01.001] [Citation(s) in RCA: 43] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
BACKGROUND Neuroanatomical abnormalities in Bipolar disorder (BD) have previously been reported. However, the utility of these abnormalities in distinguishing individual BD patients from Healthy controls and stratify patients based on overall illness burden has not been investigated in a large cohort. METHODS In this study, we examined whether structural neuroimaging scans coupled with a machine learning algorithm are able to distinguish individual BD patients from Healthy controls in a large cohort of 256 subjects. Additionally, we investigated the relationship between machine learning predicted probability scores and subjects' clinical characteristics such as illness duration and clinical stages. Neuroimaging scans were acquired from 128 BD patients and 128 Healthy controls. Gray and white matter density maps were obtained and used to 'train' a relevance vector machine (RVM) learning algorithm which was used to distinguish individual patients from Healthy controls. RESULTS The RVM algorithm distinguished patients from Healthy controls with 70.3 % accuracy (74.2 % specificity, 66.4 % sensitivity, chi-square p<0.005) using white matter density data and 64.9 % accuracy (71.1 % specificity, 58.6 % sensitivity, chi-square p<0.005) with gray matter density. Multiple brain regions - largely covering the fronto - limbic system were identified as 'most relevant' in distinguishing both groups. Patients identified by the algorithm with high certainty (a high probability score) - belonged to a subgroup with more than ten total lifetime manic episodes including hospitalizations (late stage). CONCLUSIONS These results indicate the presence of widespread structural brain abnormalities in BD which are associated with higher illness burden - which points to neuroprogression.
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Affiliation(s)
- Benson Mwangi
- UT Center of Excellence on Mood Disorders, The University of Texas Health Science Center Houston, Houston, TX, USA
| | - Mon-Ju Wu
- UT Center of Excellence on Mood Disorders, The University of Texas Health Science Center Houston, Houston, TX, USA
| | - Bo Cao
- UT Center of Excellence on Mood Disorders, The University of Texas Health Science Center Houston, Houston, TX, USA
| | - Ives C Passos
- UT Center of Excellence on Mood Disorders, The University of Texas Health Science Center Houston, Houston, TX, USA
| | - Luca Lavagnino
- UT Center of Excellence on Mood Disorders, The University of Texas Health Science Center Houston, Houston, TX, USA
| | - Zafer Keser
- Department of Physical Medicine and Rehabilitation and TIRR Memorial Hermann Neuro-Recovery Research Center, The University of Texas Health Science Center Houston, Houston, TX, USA
| | - Giovana B Zunta-Soares
- UT Center of Excellence on Mood Disorders, The University of Texas Health Science Center Houston, Houston, TX, USA
| | - Khader M Hasan
- Department of Diagnostic and Interventional Radiology, The University of Texas Health Science Center Houston, Houston, TX, USA
| | - Flavio Kapczinski
- Bipolar Disorder Program, Laboratory of Molecular Psychiatry, Hospital de Clínicas de Porto Alegre (HCPA), Porto Alegre, RS, Brazil; Graduation Program in Psychiatry and Department of Psychiatry, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, RS, Brazil
| | - Jair C Soares
- UT Center of Excellence on Mood Disorders, The University of Texas Health Science Center Houston, Houston, TX, USA
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Neuroanatomical correlates of genetic risk for bipolar disorder: A voxel-based morphometry study in bipolar type I patients and healthy first degree relatives. J Affect Disord 2015; 186:110-8. [PMID: 26233321 DOI: 10.1016/j.jad.2015.06.055] [Citation(s) in RCA: 36] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/07/2015] [Revised: 06/25/2015] [Accepted: 06/29/2015] [Indexed: 12/19/2022]
Abstract
BACKGROUND Bipolar disorder (BD) is a highly heritable mental illness which is associated with neuroanatomical abnormalities. Investigating healthy individuals at high genetic risk for bipolar disorder may help to identify neuroanatomical markers of risk and resilience without the confounding effects of burden of illness or medication. METHODS Structural magnetic resonance imaging scans were acquired from 30 euthymic patients with BD-I (BP), 28 healthy first degree relatives of BD-I patients (HR), and 30 healthy controls (HC). Data was analyzed using DARTEL for voxel based morphometry in SPM8. RESULTS Whole-brain analysis revealed a significant main effect of group in the gray matter volume in bilateral inferior frontal gyrus, left parahippocampal gyrus, left lingual gyrus and cerebellum, posterior cingulate gyrus, and supramarginal gyrus (alphasim corrected (≤0.05 FWE)). Post-hoc t-tests showed that inferior frontal gyrus volumes were bilaterally larger both in BP and HR than in HC. BP and HR also had smaller cerebellar volume compared with HC. In addition, BP had smaller left lingual gyrus volume, whereas HR had larger left parahippocampal and supramarginal gyrus volume compared with HC. LIMITATIONS This study was cross-sectional and the sample size was not large. All bipolar patients were on medication, therefore we were not able to exclude medication effects in bipolar group in this study. CONCLUSIONS Our findings suggest that increased inferior frontal gyrus and decreased cerebellar volumes might be associated with genetic predisposition for bipolar disorder. Longitudinal studies are needed to better understand the predictive and prognostic value of structural changes in these regions.
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Verbal learning impairment in euthymic bipolar disorder: BDI v BDII. J Affect Disord 2015; 182:95-100. [PMID: 25983304 PMCID: PMC4459713 DOI: 10.1016/j.jad.2015.04.021] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/12/2014] [Revised: 04/09/2015] [Accepted: 04/09/2015] [Indexed: 01/08/2023]
Abstract
OBJECTIVES Cognitive impairment is known to occur in bipolar disorder (BD), even in euthymic patients, with largest effect sizes often seen in Verbal Learning and Memory Tasks (VLT). However, comparisons between BD Type-I and Type-II have produced inconsistent results partly due to low sample sizes. METHODS This study compared the performance of 183 BDI with 96 BDII out-patients on an adapted version of the Rey Verbal Learning Task. Gender, age, years of education, mood scores and age at onset were all used as covariates. Current medication and a variety of illness variables were also investigated for potential effects on VLT performance. RESULTS BDI patients were significantly impaired relative to BDII patients on all five VLT outcome measures after controlling for the other variables [Effect Sizes=.13-.17]. The impairments seem to be unrelated to drug treatment and largely unrelated to illness variables, although age of onset affected performance on three outcome measures and number of episodes of mood elevation affected performance on one. LIMITATIONS This study used historical healthy controls. Analysis of potential drug effects was limited by insufficient participants not being drug free. Cross-sectional nature of the study limited the analysis of the potential effect of illness variables. CONCLUSIONS This study replicates earlier findings of increased verbal learning impairment in BDI patients relative to BDII in a substantially larger sample. Such performance cannot be wholly explained by medication effects or illness variables. Thus, the cognitive impairment is likely to reflect a phenotypic difference between bipolar sub-types.
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Caseras X, Murphy K, Lawrence NS, Fuentes-Claramonte P, Watts J, Jones DK, Phillips ML. Emotion regulation deficits in euthymic bipolar I versus bipolar II disorder: a functional and diffusion-tensor imaging study. Bipolar Disord 2015; 17:461-70. [PMID: 25771686 PMCID: PMC4672703 DOI: 10.1111/bdi.12292] [Citation(s) in RCA: 56] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/10/2014] [Accepted: 12/17/2014] [Indexed: 12/11/2022]
Abstract
OBJECTIVES Emotion regulation deficits are a core feature of bipolar disorder. However, their potential neurobiological underpinnings and existence beyond bipolar I disorder remain unexplored. Our main goal was to investigate whether both individuals with bipolar I and bipolar II disorder show deficits in emotion regulation during an attention control task, and to explore the neurophysiological underpinnings of this potential deficit. METHODS Twenty healthy controls, 16 euthymic participants with bipolar I disorder, and 19 euthymic participants with bipolar II disorder completed psychometric and clinical assessments, a neuroimaging emotion regulation paradigm, and an anatomical diffusion-weighted scan. Groups were matched for age, gender, and verbal IQ. RESULTS During the presence of emotional distracters, subjects with bipolar I disorder showed slowed reaction times to targets, and increased blood oxygenation level-dependent (BOLD) responses in the amygdala, accumbens, and dorsolateral prefrontal cortex, but not increased inverse functional connectivity between these prefrontal and subcortical areas, and altered white matter microstructure organization in the right uncinate fasciculus. Subjects with bipolar II disorder showed no altered reaction times, increased BOLD responses in the same brain areas, increased inverse functional connectivity between the prefrontal cortex and amygdala, and no abnormalities in white matter organization. CONCLUSIONS Participants with bipolar I disorder showed abnormalities in functional and anatomical connectivity between prefrontal cortices and subcortical structures in emotion regulation circuitry. However, these deficits did not extend to subjects with bipolar II disorder, suggesting fundamental differences in the pathophysiology of bipolar disorder subtypes.
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Affiliation(s)
- Xavier Caseras
- MRC Centre for Neuropsychiatric Genetics and Genomics, Institute of Psychological Medicine and Clinical Neurosciences, Cardiff UniversityCardiff, UK,Neuroscience and Mental Health Research Institute, Cardiff UniversityCardiff, UK
| | - Kevin Murphy
- Neuroscience and Mental Health Research Institute, Cardiff UniversityCardiff, UK,Cardiff University Brain Research Imaging Centre, School of Psychology, Cardiff UniversityCardiff, UK
| | - Natalia S Lawrence
- Mood Disorders Centre, School of Psychology, University of ExeterExeter, UK
| | - Paola Fuentes-Claramonte
- Departament de Psicologia Bàsica, Clínica i Psicobiologia, School of Psychology, Universitat Jaume I de CastellóCastello, Spain
| | - Jessica Watts
- MRC Centre for Neuropsychiatric Genetics and Genomics, Institute of Psychological Medicine and Clinical Neurosciences, Cardiff UniversityCardiff, UK,Neuroscience and Mental Health Research Institute, Cardiff UniversityCardiff, UK
| | - Derek K Jones
- Neuroscience and Mental Health Research Institute, Cardiff UniversityCardiff, UK,Cardiff University Brain Research Imaging Centre, School of Psychology, Cardiff UniversityCardiff, UK
| | - Mary L Phillips
- MRC Centre for Neuropsychiatric Genetics and Genomics, Institute of Psychological Medicine and Clinical Neurosciences, Cardiff UniversityCardiff, UK,Neuroscience and Mental Health Research Institute, Cardiff UniversityCardiff, UK,Mood and Brain Laboratory, Department of Psychiatry, University of Pittsburgh School of Medicine, Western Psychiatric Institute and Clinic, University of PittsburghPittsburgh, PA, USA
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Relationship between personality disorder functioning styles and the emotional states in bipolar I and II disorders. PLoS One 2015; 10:e0117353. [PMID: 25625553 PMCID: PMC4307975 DOI: 10.1371/journal.pone.0117353] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2014] [Accepted: 12/23/2014] [Indexed: 11/20/2022] Open
Abstract
Background Bipolar disorder types I (BD I) and II (BD II) behave differently in clinical manifestations, normal personality traits, responses to pharmacotherapies, biochemical backgrounds and neuroimaging activations. How the varied emotional states of BD I and II are related to the comorbid personality disorders remains to be settled. Methods We therefore administered the Plutchick – van Praag Depression Inventory (PVP), the Mood Disorder Questionnaire (MDQ), the Hypomanic Checklist-32 (HCL-32), and the Parker Personality Measure (PERM) in 37 patients with BD I, 34 BD II, and in 76 healthy volunteers. Results Compared to the healthy volunteers, patients with BD I and II scored higher on some PERM styles, PVP, MDQ and HCL-32 scales. In BD I, the PERM Borderline style predicted the PVP scale; and Antisocial predicted HCL-32. In BD II, Borderline, Dependant, Paranoid (-) and Schizoid (-) predicted PVP; Borderline predicted MDQ; Passive-Aggressive and Schizoid (-) predicted HCL-32. In controls, Borderline and Narcissistic (-) predicted PVP; Borderline and Dependant (-) predicted MDQ. Conclusion Besides confirming the different predictability of the 11 functioning styles of personality disorder to BD I and II, we found that the prediction was more common in BD II, which might underlie its higher risk of suicide and poorer treatment outcome.
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Maller JJ, Thaveenthiran P, Thomson RH, McQueen S, Fitzgerald PB. Volumetric, cortical thickness and white matter integrity alterations in bipolar disorder type I and II. J Affect Disord 2014; 169:118-27. [PMID: 25189991 DOI: 10.1016/j.jad.2014.08.016] [Citation(s) in RCA: 66] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/01/2014] [Revised: 06/25/2014] [Accepted: 08/10/2014] [Indexed: 01/07/2023]
Abstract
BACKGROUND Bipolar disorder (BD) is a debilitating psychiatric disorder affecting millions of people worldwide with mean time to diagnosis estimated to be at least 10 years. Whilst many brain imaging studies have compared those with BD to controls, few have attempted to investigate differences between BD Type I and II and matched controls. METHODS Thirty-one patients with BD (16 Type I and 15 Type II) and 31 matched healthy controls were MRI brain scanned with conventional T1-weighted and diffusion tensor imaging methods. RESULTS There was significantly reduced regional brain volume and thickness among the BD subjects, but also between BD Type I when compared to Type II. White matter integrity also differed between the groups and BD severity correlated significantly with regional brain volume and thickness. LIMITATIONS Future investigations will consider length of time each BD patient had been diagnosed with BD, as well as assessing controls for family history of psychiatric illness, specifically BD. Similarly, genetic assessment will be conducted as well. CONCLUSIONS These findings suggest that there are not only regional brain volumetric, thickness and white matter integrity differences between BD and matched controls, but also between those with BD Type I and Type II, such that reduced regional brain volume may underlie BD Type I whereas white matter integrity is more altered in BD Type II.
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Affiliation(s)
- Jerome J Maller
- Monash Alfred Psychiatry Research Centre, The Alfred & Monash University Central Clinical School, Melbourne Victoria, Australia.
| | - Prasanthan Thaveenthiran
- Monash Alfred Psychiatry Research Centre, The Alfred & Monash University Central Clinical School, Melbourne Victoria, Australia
| | - Richard H Thomson
- Monash Alfred Psychiatry Research Centre, The Alfred & Monash University Central Clinical School, Melbourne Victoria, Australia
| | - Susan McQueen
- Monash Alfred Psychiatry Research Centre, The Alfred & Monash University Central Clinical School, Melbourne Victoria, Australia
| | - Paul B Fitzgerald
- Monash Alfred Psychiatry Research Centre, The Alfred & Monash University Central Clinical School, Melbourne Victoria, Australia
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Phillips ML, Swartz HA. A critical appraisal of neuroimaging studies of bipolar disorder: toward a new conceptualization of underlying neural circuitry and a road map for future research. Am J Psychiatry 2014; 171:829-43. [PMID: 24626773 PMCID: PMC4119497 DOI: 10.1176/appi.ajp.2014.13081008] [Citation(s) in RCA: 396] [Impact Index Per Article: 39.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/31/2023]
Abstract
OBJECTIVE In this critical review, the authors appraise neuroimaging findings in bipolar disorder in emotion-processing, emotion-regulation, and reward-processing neural circuitry in order to synthesize the current knowledge of the neural underpinnings of bipolar disorder and provide a neuroimaging research road map for future studies. METHOD The authors examined findings from all major studies in bipolar disorder that used functional MRI, volumetric analysis, diffusion imaging, and resting-state techniques, integrating findings to provide a better understanding of larger-scale neural circuitry abnormalities in bipolar disorder. RESULTS Bipolar disorder can be conceptualized, in neural circuitry terms, as parallel dysfunction in prefrontal cortical (especially ventrolateral prefrontal cortical)-hippocampal-amygdala emotion-processing and emotion-regulation circuits bilaterally, together with an "overactive" left-sided ventral striatal-ventrolateral and orbitofrontal cortical reward-processing circuitry, resulting in characteristic behavioral abnormalities associated with bipolar disorder: emotional lability, emotional dysregulation, and heightened reward sensitivity. A potential structural basis for these functional abnormalities is gray matter volume decreases in the prefrontal and temporal cortices, the amygdala, and the hippocampus and fractional anisotropy decreases in white matter tracts connecting prefrontal and subcortical regions. CONCLUSIONS Neuroimaging studies of bipolar disorder clearly demonstrate abnormalities in neural circuits supporting emotion processing, emotion regulation, and reward processing, although there are several limitations to these studies. Future neuroimaging research in bipolar disorder should include studies adopting dimensional approaches; larger studies examining neurodevelopmental trajectories in youths with bipolar disorder or at risk for bipolar disorder; multimodal neuroimaging studies using integrated systems approaches; and studies using pattern recognition approaches to provide clinically useful individual-level data. Such studies will help identify clinically relevant biomarkers to guide diagnosis and treatment decision making for individuals with bipolar disorder.
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McCarthy MJ, Liang S, Spadoni AD, Kelsoe JR, Simmons AN. Whole brain expression of bipolar disorder associated genes: structural and genetic analyses. PLoS One 2014; 9:e100204. [PMID: 24941232 PMCID: PMC4062532 DOI: 10.1371/journal.pone.0100204] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2014] [Accepted: 05/22/2014] [Indexed: 11/19/2022] Open
Abstract
Studies of bipolar disorder (BD) suggest a genetic basis of the illness that alters brain function and morphology. In recent years, a number of genetic variants associated with BD have been identified. However, little is known about the associated genes, or brain circuits that rely upon their function. Using an anatomically comprehensive survey of the human transcriptome (The Allen Brain Atlas), we mapped the expression of 58 genes with suspected involvement in BD based upon their relationship to SNPs identified in genome wide association studies (GWAS). We then conducted a meta-analysis of structural MRI studies to identify brain regions that are abnormal in BD. Of 58 BD associated genes, 22 had anatomically distinct expression patterns that could be categorized into one of three clusters (C1–C3). Brain regions with the highest and lowest expression of these genes did not overlap strongly with anatomical sites identified as abnormal by structural MRI except in the parahippocampal gyrus, the inferior/superior temporal gyrus and the cerebellar vermis, regions where overlap was significant. Using the 22 genes in C1–C3 as reference points, additional genes with correlated expression patterns were identified and organized into sets based on similarity. Further analysis revealed that five of these gene sets were significantly associated with BD, suggesting that anatomical expression profile is correlated with genetic susceptibility to BD, particularly for genes in C2. Our data suggest that expression profiles of BD-associated genes do not explain the majority of structural abnormalities observed in BD, but may be useful in identifying new candidate genes. Our results highlight the complex neuroanatomical basis of BD, and reinforce illness models that emphasize impaired brain connectivity.
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Affiliation(s)
- Michael J. McCarthy
- Research Service, Veterans Affairs San Diego Healthcare System, San Diego, California, United States of America
- Department of Psychiatry, University of California San Diego, La Jolla, California, United States of America
- * E-mail:
| | - Sherri Liang
- Department of Psychiatry, University of California San Diego, La Jolla, California, United States of America
| | - Andrea D. Spadoni
- Research Service, Veterans Affairs San Diego Healthcare System, San Diego, California, United States of America
- Department of Psychiatry, University of California San Diego, La Jolla, California, United States of America
| | - John R. Kelsoe
- Research Service, Veterans Affairs San Diego Healthcare System, San Diego, California, United States of America
- Department of Psychiatry, University of California San Diego, La Jolla, California, United States of America
| | - Alan N. Simmons
- Research Service, Veterans Affairs San Diego Healthcare System, San Diego, California, United States of America
- Department of Psychiatry, University of California San Diego, La Jolla, California, United States of America
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Xu K, Liu H, Li H, Tang Y, Womer F, Jiang X, Chen K, Zhou Y, Jiang W, Luo X, Fan G, Wang F. Amplitude of low-frequency fluctuations in bipolar disorder: a resting state fMRI study. J Affect Disord 2014; 152-154:237-42. [PMID: 24120087 DOI: 10.1016/j.jad.2013.09.017] [Citation(s) in RCA: 70] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/25/2013] [Revised: 08/08/2013] [Accepted: 09/17/2013] [Indexed: 01/08/2023]
Abstract
OBJECTIVES The spontaneous low frequency fluctuations (LFF) of blood oxygenation level-dependent (BOLD) signal in resting state have been identified as a biological measure of baseline spontaneous activity in the brain. Increasingly, studies of spontaneous resting state functional connectivity have demonstrated neural network abnormalities in bipolar disorder (BD). This study used the amplitude of low frequency fluctuations (ALFF) to explore the regional functional changes in BD during resting state. METHODS Twenty-nine BD participants and 29 matched healthy controls (HC) were recruited to undergo resting-state functional magnetic resonance imaging scan on a 3.0T magnetic resonance imaging system. The ALFF of BOLD signal in gray matter for each participant was calculated, and then was compared between BD and HC using ALFF maps. RESULTS Compared to the HC group, the BD group showed increased ALFF in ventral prefrontal cortex, dorsal lateral prefrontal cortex, frontal eye field, insula, and putamen with extension into the ventral striatum, as well as decreased ALFF in the lingual gyrus (p<0.05, corrected). LIMITATIONS Although we observed differences in ALFF between BD and HC, we cannot conclusively state that these differences are caused by the pathophysiology of BD since most of BD participants were being treated with medications at the time of scanning. CONCLUSIONS Our results revealed altered regional brain activity in BD during resting state. The affected regions have been associated with BD pathophysiology. This suggests that methods using ALFF method may potentially be useful in further studies of this disorder.
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Affiliation(s)
- Ke Xu
- Department of Radiology, The First Affiliated Hospital, China Medical University, 155 Nanjing North Street, Shenyang, Liaoning 110001, PR China
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Nery FG, Monkul ES, Lafer B. Gray matter abnormalities as brain structural vulnerability factors for bipolar disorder: A review of neuroimaging studies of individuals at high genetic risk for bipolar disorder. Aust N Z J Psychiatry 2013; 47:1124-35. [PMID: 23864160 DOI: 10.1177/0004867413496482] [Citation(s) in RCA: 38] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
OBJECTIVE Cortical and subcortical gray matter abnormalities have been reported in individuals at high genetic risk for bipolar disorder, but the findings are inconsistent. The aim of this study was to review the available literature to identify common findings that could represent brain structural vulnerability factors for bipolar disorder and to discuss challenges for the advancement of the field. METHOD A systematic search was conducted using the PubMed database to identify all original articles investigating cortical or subcortical gray matter abnormalities in first-degree relatives of bipolar disorder patients. RESULTS Very few findings were replicated, with the exception of larger insular cortex volumes in adult first-degree relatives and larger right inferior frontal gyrus in offspring of probands with bipolar disorder, both when compared with healthy controls. Isolated findings included decreased gray matter density in the left thalamus, decreased gray matter volumes in the left hippocampus and parahippocampal gyrus, and thicker right hippocampus in unaffected first-degree relatives. Genetic liability for bipolar disorder was associated with gray matter volumes in regions of the anterior cingulate cortex, ventral striatum, medial frontal gyrus, right precentral gyrus, right insular cortex, and medial orbital gyrus. Some studies found no evidence for gray matter abnormalities in first-degree relatives of bipolar disorder patients. CONCLUSIONS Possible reasons for the discrepancies of findings across studies include small samples sizes, small effect size of susceptibility genes, the phenotypic heterogeneity of bipolar disorder, and the possible confounding effect of other Axis I psychopathologies among the relatives of patients. Future multisite, prospective, large studies with more homogeneous samples would be a key strategy to advance the field. The ultimate benefit would be an understanding of how to use brain imaging tools to identify individuals at increased risk for bipolar disorder and develop preventive strategies for that population.
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Affiliation(s)
- Fabiano G Nery
- 1Bipolar Disorder Program (PROMAN), Department of Psychiatry, University of São Paulo Medical School, Brazil
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