1
|
Miola A, Trevisan N, Salvucci M, Minerva M, Valeggia S, Manara R, Sambataro F. Network dysfunction of sadness facial expression processing and morphometry in euthymic bipolar disorder. Eur Arch Psychiatry Clin Neurosci 2024; 274:525-536. [PMID: 37498325 PMCID: PMC10995000 DOI: 10.1007/s00406-023-01649-z] [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: 09/03/2022] [Accepted: 07/07/2023] [Indexed: 07/28/2023]
Abstract
Facial emotion recognition (FER), including sadness, is altered in bipolar disorder (BD). However, the relationship between this impairment and the brain structure in BD is relatively unexplored. Furthermore, its association with clinical variables and with the subtypes of BD remains to be clarified. Twenty euthymic patients with BD type I (BD-I), 28 BD type II (BD-II), and 45 healthy controls completed a FER test and a 3D-T1-weighted magnetic resonance imaging. Gray matter volume (GMV) of the cortico-limbic regions implicated in emotional processing was estimated and their relationship with FER performance was investigated using network analysis. Patients with BD-I had worse total and sadness-related FER performance relative to the other groups. Total FER performance was significantly negatively associated with illness duration and positively associated with global functioning in patients with BD-I. Sadness-related FER performance was also significantly negatively associated with the number of previous manic episodes. Network analysis showed a reduced association of the GMV of the frontal-insular-occipital areas in patients with BD-I, with a greater edge strength between sadness-related FER performance and amygdala GMV relative to controls. Our results suggest that FER performance, particularly for facial sadness, may be distinctively impaired in patients with BD-I. The pattern of reduced interrelationship in the frontal-insular-occipital regions and a stronger positive relationship between facial sadness recognition and the amygdala GMV in BD may reflect altered cortical modulation of limbic structures that ultimately predisposes to emotional dysregulation. Future longitudinal studies investigating the effect of mood state on FER performance in BD are warranted.
Collapse
Affiliation(s)
- Alessandro Miola
- Department of Neuroscience (DNS), University of Padova, Via Giustiniani 5, Padua, Italy
| | - Nicolò Trevisan
- Department of Neuroscience (DNS), University of Padova, Via Giustiniani 5, Padua, Italy
| | - Margherita Salvucci
- Department of Neuroscience (DNS), University of Padova, Via Giustiniani 5, Padua, Italy
| | - Matteo Minerva
- Department of Neuroscience (DNS), University of Padova, Via Giustiniani 5, Padua, Italy
| | - Silvia Valeggia
- Department of Neuroscience (DNS), University of Padova, Via Giustiniani 5, Padua, Italy
| | - Renzo Manara
- Department of Neuroscience (DNS), University of Padova, Via Giustiniani 5, Padua, Italy
- Padova Neuroscience Center, University of Padova, Padua, Italy
| | - Fabio Sambataro
- Department of Neuroscience (DNS), University of Padova, Via Giustiniani 5, Padua, Italy.
- Padova Neuroscience Center, University of Padova, Padua, Italy.
| |
Collapse
|
2
|
Wu YK, Su YA, Li L, Zhu LL, Li K, Li JT, Mitchell PB, Yan CG, Si TM. Brain functional changes across mood states in bipolar disorder: from a large-scale network perspective. Psychol Med 2024; 54:763-774. [PMID: 38084586 DOI: 10.1017/s0033291723002453] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/05/2024]
Abstract
BACKGROUND Exploring the neural basis related to different mood states is a critical issue for understanding the pathophysiology underlying mood switching in bipolar disorder (BD), but research has been scarce and inconsistent. METHODS Resting-state functional magnetic resonance imaging data were acquired from 162 patients with BD: 33 (hypo)manic, 64 euthymic, and 65 depressive, and 80 healthy controls (HCs). The differences of large-scale brain network functional connectivity (FC) between the four groups were compared and correlated with clinical characteristics. To validate the generalizability of our findings, we recruited a small longitudinal independent sample of BD patients (n = 11). In addition, we examined topological nodal properties across four groups as exploratory analysis. RESULTS A specific strengthened pattern of network FC, predominantly involving the default mode network (DMN), was observed in (hypo)manic patients when compared with HCs and bipolar patients in other mood states. Longitudinal observation revealed an increase in several network FCs in patients during (hypo)manic episode. Both samples evidenced an increase in the FC between the DMN and ventral attention network, and between the DMN and limbic network (LN) related to (hypo)mania. The altered network connections were correlated with mania severity and positive affect. Bipolar depressive patients exhibited decreased FC within the LN compared with HCs. The exploratory analysis also revealed an increase in degree in (hypo)manic patients. CONCLUSIONS Our findings identify a distributed pattern of large-scale network disturbances in the unique context of (hypo)mania and thus provide new evidence for our understanding of the neural mechanism of BD.
Collapse
Affiliation(s)
- Yan-Kun Wu
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Yun-Ai Su
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Le Li
- Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
- Center for Cognitive Science of Language, Beijing Language and Culture University, Beijing, China
| | - Lin-Lin Zhu
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Ke Li
- PLA Strategic Support Force Characteristic Medical Center, Beijing, China
| | - Ji-Tao Li
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Philip B Mitchell
- School of Psychiatry, University of New South Wales, Sydney, Australia
- Black Dog Institute, Prince of Wales Hospital, Sydney, Australia
| | - Chao-Gan Yan
- Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
| | - Tian-Mei Si
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| |
Collapse
|
3
|
Lyu H, Huang H, He J, Zhu S, Hong W, Lai J, Gao T, Shao J, Zhu J, Li Y, Hu S. Task-state skin potential abnormalities can distinguish major depressive disorder and bipolar depression from healthy controls. Transl Psychiatry 2024; 14:110. [PMID: 38395985 PMCID: PMC10891315 DOI: 10.1038/s41398-024-02828-9] [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: 07/21/2023] [Revised: 02/07/2024] [Accepted: 02/13/2024] [Indexed: 02/25/2024] Open
Abstract
Early detection of bipolar depression (BPD) and major depressive disorder (MDD) has been challenging due to the lack of reliable and easily measurable biological markers. This study aimed to investigate the accuracy of discriminating patients with mood disorders from healthy controls based on task state skin potential characteristics and their correlation with individual indicators of oxidative stress. A total of 77 patients with BPD, 53 patients with MDD, and 79 healthy controls were recruited. A custom-made device, previously shown to be sufficiently accurate, was used to collect skin potential data during six emotion-inducing tasks involving video, pictorial, or textual stimuli. Blood indicators reflecting individual levels of oxidative stress were collected. A discriminant model based on the support vector machine (SVM) algorithm was constructed for discriminant analysis. MDD and BPD patients were found to have abnormal skin potential characteristics on most tasks. The accuracy of the SVM model built with SP features to discriminate MDD patients from healthy controls was 78% (sensitivity 78%, specificity 82%). The SVM model gave an accuracy of 59% (sensitivity 59%, specificity 79%) in classifying BPD patients, MDD patients, and healthy controls into three groups. Significant correlations were also found between oxidative stress indicators in the blood of patients and certain SP features. Patients with depression and bipolar depression have abnormalities in task-state skin potential that partially reflect the pathological mechanism of the illness, and the abnormalities are potential biological markers of affective disorders.
Collapse
Affiliation(s)
- Hailong Lyu
- Department of Psychiatry, The First Affiliated Hospital, Zhejiang University School of Medicine; Key Laboratory of Mental Disorder's Management of Zhejiang Province, Hangzhou, 310003, China
- Brain Research Institute of Zhejiang University, Hangzhou, 310003, China
- Zhejiang Engineering Center for Mathematical Mental Health, Hangzhou, 310003, China
| | - Huimin Huang
- The Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325200, China
- Ruian People's Hospital, Wenzhou, 325200, China
| | - Jiadong He
- College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, 310027, China
| | - Sheng Zhu
- Department of Psychiatry, The Ruian Fifth People's Hospital, Wenzhou, 325200, China
| | - Wanchu Hong
- Department of Psychiatry, The Ruian Fifth People's Hospital, Wenzhou, 325200, China
| | - Jianbo Lai
- Department of Psychiatry, The First Affiliated Hospital, Zhejiang University School of Medicine; Key Laboratory of Mental Disorder's Management of Zhejiang Province, Hangzhou, 310003, China
- Brain Research Institute of Zhejiang University, Hangzhou, 310003, China
- Zhejiang Engineering Center for Mathematical Mental Health, Hangzhou, 310003, China
| | | | - Jiamin Shao
- Department of Psychiatry, The First Affiliated Hospital, Zhejiang University School of Medicine; Key Laboratory of Mental Disorder's Management of Zhejiang Province, Hangzhou, 310003, China
- Brain Research Institute of Zhejiang University, Hangzhou, 310003, China
- Zhejiang Engineering Center for Mathematical Mental Health, Hangzhou, 310003, China
| | - Jianfeng Zhu
- Department of Psychiatry, The Ruian Fifth People's Hospital, Wenzhou, 325200, China
| | - Yubo Li
- College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, 310027, China.
| | - Shaohua Hu
- Department of Psychiatry, The First Affiliated Hospital, Zhejiang University School of Medicine; Key Laboratory of Mental Disorder's Management of Zhejiang Province, Hangzhou, 310003, China.
- Brain Research Institute of Zhejiang University, Hangzhou, 310003, China.
- Zhejiang Engineering Center for Mathematical Mental Health, Hangzhou, 310003, China.
- Ruian People's Hospital, Wenzhou, 325200, China.
| |
Collapse
|
4
|
Wu Y, Su YA, Zhu L, Li J, Si T. Advances in functional MRI research in bipolar disorder: from the perspective of mood states. Gen Psychiatr 2024; 37:e101398. [PMID: 38292862 PMCID: PMC10826570 DOI: 10.1136/gpsych-2023-101398] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/18/2023] [Accepted: 12/20/2023] [Indexed: 02/01/2024] Open
Abstract
Bipolar disorder is characterised by recurrent and alternating episodes of mania/hypomania and depression. Current breakthroughs in functional MRI techniques have uncovered the functional neuroanatomy of bipolar disorder. However, the pathophysiology underlying mood instability, mood switching and the development of extreme mood states is less well understood. This review presents a comprehensive overview of current evidence from functional MRI studies from the perspective of mood states. We first summarise the disrupted brain activation patterns and functional connectivity that have been reported in bipolar disorder, irrespective of the mood state. We next focus on research that solely included patients in a single mood state for a better understanding of the pathophysiology of bipolar disorder and research comparing patients with different mood states to dissect mood state-related effects. Finally, we briefly summarise current theoretical models and conclude this review by proposing potential avenues for future research. A comprehensive understanding of the pathophysiology with consideration of mood states could not only deepen our understanding of how acute mood episodes develop at a neurophysiological level but could also facilitate the identification of biological targets for personalised treatment and the development of new interventions for bipolar disorder.
Collapse
Affiliation(s)
- Yankun Wu
- Department of Clinical Psychopharmacology, Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Yun-Ai Su
- Department of Clinical Psychopharmacology, Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Linlin Zhu
- Department of Clinical Psychopharmacology, Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Jitao Li
- Department of Clinical Psychopharmacology, Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Tianmei Si
- Department of Clinical Psychopharmacology, Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| |
Collapse
|
5
|
Meyer K, Ling KH, Yeo PL, Spathopoulou A, Drake D, Choi J, Aron L, Garcia-Corral M, Ko T, Lee EA, Tam JM, Perlis RH, Church GM, Tsai LH, Yankner BA. Impaired neural stress resistance and loss of REST in bipolar disorder. Mol Psychiatry 2024; 29:153-164. [PMID: 37938767 DOI: 10.1038/s41380-023-02313-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/04/2023] [Revised: 07/27/2023] [Accepted: 10/25/2023] [Indexed: 11/09/2023]
Abstract
Neurodevelopmental changes and impaired stress resistance have been implicated in the pathogenesis of bipolar disorder (BD), but the underlying regulatory mechanisms are unresolved. Here we describe a human cerebral organoid model of BD that exhibits altered neural development, elevated neural network activity, and a major shift in the transcriptome. These phenotypic changes were reproduced in cerebral organoids generated from iPS cell lines derived in different laboratories. The BD cerebral organoid transcriptome showed highly significant enrichment for gene targets of the transcriptional repressor REST. This was associated with reduced nuclear REST and REST binding to target gene recognition sites. Reducing the oxygen concentration in organoid cultures to a physiological range ameliorated the developmental phenotype and restored REST expression. These effects were mimicked by treatment with lithium. Reduced nuclear REST and derepression of REST targets genes were also observed in the prefrontal cortex of BD patients. Thus, an impaired cellular stress response in BD cerebral organoids leads to altered neural development and transcriptional dysregulation associated with downregulation of REST. These findings provide a new model and conceptual framework for exploring the molecular basis of BD.
Collapse
Affiliation(s)
- Katharina Meyer
- Department of Genetics, Harvard Medical School, Boston, MA, 02115, USA
| | - King-Hwa Ling
- Department of Genetics, Harvard Medical School, Boston, MA, 02115, USA
| | - Pei-Ling Yeo
- Department of Genetics, Harvard Medical School, Boston, MA, 02115, USA
| | | | - Derek Drake
- Department of Genetics, Harvard Medical School, Boston, MA, 02115, USA
| | - Jaejoon Choi
- Department of Genetics, Harvard Medical School, Boston, MA, 02115, USA
| | - Liviu Aron
- Department of Genetics, Harvard Medical School, Boston, MA, 02115, USA
| | - Mariana Garcia-Corral
- Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA, 02115, USA
| | - Tak Ko
- The Picower Institute for Learning and Memory, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA
| | - Eunjung Alice Lee
- Division of Genetics and Genomics, Manton Center for Orphan Disease Research, Boston Children's Hospital, Boston, MA, 02115, USA
| | - Jenny M Tam
- Department of Genetics, Harvard Medical School, Boston, MA, 02115, USA
- Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA, 02115, USA
| | - Roy H Perlis
- Center for Quantitative Health, Center for Genomic Medicine and Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
| | - George M Church
- Department of Genetics, Harvard Medical School, Boston, MA, 02115, USA
- Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA, 02115, USA
| | - Li-Huei Tsai
- The Picower Institute for Learning and Memory, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA
| | - Bruce A Yankner
- Department of Genetics, Harvard Medical School, Boston, MA, 02115, USA.
| |
Collapse
|
6
|
Förster K, Maliske LZ, Schurz M, Henneberg PM, Dannlowski U, Kanske P. How do bipolar disease states affect positive and negative emotion processing? Insights from a meta-analysis on the neural fingerprints of emotional processing. Bipolar Disord 2023; 25:540-553. [PMID: 37248623 DOI: 10.1111/bdi.13341] [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] [Indexed: 05/31/2023]
Abstract
BACKGROUND Functional magnetic resonance imaging studies on emotion processing in patients with bipolar disorder (BD) show hyperactivity of limbic-striatal brain areas and hypoactivity in inferior frontal areas compared to healthy participants. However, heterogeneous results in patients with different disease states and different valences of emotional stimuli have been identified. METHODS To integrate previous results and elucidate the impact of disease state and stimulus valence, we conducted a systematic literature search for journal articles in the Web of Science Core Collection including MEDLINE databases and employed a coordinate-based-meta-analysis of functional-MRI studies comparing emotion processing in BD-patients with healthy participants using seed-based d mapping (SDM) to test for between-subjects-effects. We included 31 studies published before 11/2022 with a total of N = 766 BD-patients and N = 836 controls. RESULTS Patients with BD showed hyperactivated regions involved in salience processing of emotional stimuli (e.g., the bilateral insula) and hypoactivation of regions associated with emotion regulation (e.g., inferior frontal gyrus) during emotion processing, compared to healthy participants. A more detailed descriptive analysis revealed a hypoactive (anterior) insula in manic BD-patients specifically for negative in comparison to positive emotion processing. DISCUSSION This meta-analysis corroborates the overall tenor of existing literature that patients with BD show an increased emotional reactivity (hyperactivity of salience-processing regions) together with a lower (cognitive) control (hypoactivity of brain areas associated with emotion regulation) over emotional states. Our analysis suggests reduced interoceptive processing of negative stimuli in mania, pointing out the need for longitudinal within-subject analyses of emotion processing.
Collapse
Affiliation(s)
- Katharina Förster
- Clinical Psychology and Behavioral Neuroscience, Faculty of Psychology, Technische Universität Dresden, Dresden, Germany
| | - Lara Z Maliske
- Clinical Psychology and Behavioral Neuroscience, Faculty of Psychology, Technische Universität Dresden, Dresden, Germany
| | - Matthias Schurz
- Institute of Psychology and Digital Science Center (DiSC), University of Innsbruck, Innsbruck, Austria
| | - Paula M Henneberg
- Clinic and Outpatient Clinic of Psychiatry and Psychotherapy, University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Udo Dannlowski
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Philipp Kanske
- Clinical Psychology and Behavioral Neuroscience, Faculty of Psychology, Technische Universität Dresden, Dresden, Germany
| |
Collapse
|
7
|
Chao M, Koay JM, Van Meter A. Does mood affect judgment: Results from an in vivo observational study. CURRENT PSYCHOLOGY 2022. [DOI: 10.1007/s12144-022-03437-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
|
8
|
Sonkurt HO, Altınöz AE, Danışman Sonkurt M, Köşger F. A distinct neurocognitive profile: unipolar mania. Nord J Psychiatry 2022; 76:358-364. [PMID: 34543165 DOI: 10.1080/08039488.2021.1977386] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
OBJECTIVE Despite a growing number of studies reporting patients with a history of mania without depression have several socio-demographic and clinical differences than bipolar disorder patients, unipolar mania is recognized as bipolar I disorder in the most commonly used classification systems. Studies showing that unipolar mania is a separate clinical entity are insufficient in number, and to the best of our knowledge, there has been no study investigating the neuropsychological differences in this area. The aim of this study is to evaluate the neurocognitive differences between unipolar mania, bipolar I disorder and healthy controls, and to reveal the underlying neurocognitive differences. MATERIALS AND METHODS Cambridge Neuropsychological Test Automated Battery was applied to 18 unipolar mania, 19 bipolar I disorder patients and 21 healthy controls matched for age, sex and education levels. RESULTS Unipolar mania group had worse performance regarding visual memory and executive functions, and had specific social cognition deficits compared to both bipolar I disorder and healthy control groups. CONCLUSION The results of our study indicate that unipolar mania might have unique neurocognitive differences compared to bipolar I disorder, which might support the hypothesis that unipolar mania is a distinct neurocognitive disorder within bipolar spectrum disorders.
Collapse
Affiliation(s)
| | - Ali Ercan Altınöz
- Psychiatry Department, Eskişehir Osmangazi University, Odunpazarı, Turkey
| | | | - Ferdi Köşger
- Psychiatry Department, Eskişehir Osmangazi University, Odunpazarı, Turkey
| |
Collapse
|
9
|
Eken A, Akaslan DS, Baskak B, Münir K. Diagnostic Classification of Schizophrenia and Bipolar Disorder by Using Dynamic Functional Connectivity: an fNIRS Study. J Neurosci Methods 2022; 376:109596. [DOI: 10.1016/j.jneumeth.2022.109596] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2021] [Revised: 02/26/2022] [Accepted: 04/08/2022] [Indexed: 11/27/2022]
|
10
|
Reddy PV, Anandan S, Rakesh G, Shivakumar V, Joseph B, Vasu SK, Agarwal SM, Muralidharan K, Venkatasubramanian G, Narayanaswamy JC. Emotion Processing Deficit in Euthymic Bipolar Disorder: A Potential Endophenotype. Indian J Psychol Med 2022; 44:145-151. [PMID: 35655991 PMCID: PMC9120978 DOI: 10.1177/02537176211026795] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND Emotion processing deficits have been described in patients with bipolar disorder (BD) and are considered one of the core cognitive abnormalities in BD with endophenotype potential. However, the literature on specific impairments in emotion processing cognitive strategies (directive/cortical/higher versus intuitive/limbic/lower) in euthymic adult BD patients and healthy first-degree relatives/high-risk (HR) subjects in comparison with healthy controls (HCs) is sparse. METHODS We examined facial emotion recognition deficits (FERD) in BD (N = 30), HR (N = 21), and HC (N = 30) matched for age (years), years of education, and sex using computer-administered face emotions-Matching And Labeling Task (eMALT). RESULTS The three groups were significantly different based on labeling accuracy scores for fear and anger (FA) (P < 0.001) and sad and disgust (SD) (P < 0.001). On post-hoc analysis, HR subjects exhibited a significant deficit in the labeling accuracy of FA facial emotions (P < 0.001) compared to HC. The BD group was found to have significant differences in all FA (P = 0.004) and SD (P = 0.003) emotion matching as well as FA (P = 0.001) and SD (P < 0.001) emotion labeling accuracy scores. CONCLUSIONS BD in remission exhibits FERD in general, whereas specific labeling deficits of fear and anger emotions, indicating impaired directive higher order aspect of emotion processing, were demonstrated in HR subjects. This appears to be a potential endophenotype. These deficits could underlie the pathogenesis in BD, with possible frontolimbic circuitry impairment. They may have potential implications in functional recovery and prognosis of BD.
Collapse
Affiliation(s)
- Preethi V Reddy
- Dept. of Psychiatry & Translational Psychiatry Laboratory, Cognitive Neurobiology Division, Neurobiology Research Centre, National Institute of Mental Health & Neurosciences, Bengaluru, Karnataka, India
| | - Saravanakumar Anandan
- Dept. of Psychiatry & Translational Psychiatry Laboratory, Cognitive Neurobiology Division, Neurobiology Research Centre, National Institute of Mental Health & Neurosciences, Bengaluru, Karnataka, India
| | - Gopalkumar Rakesh
- Dept. of Psychiatry, University of Kentucky, Lexington, Kentucky, USA
| | - Venkatarama Shivakumar
- Dept. of Psychiatry & Translational Psychiatry Laboratory, Cognitive Neurobiology Division, Neurobiology Research Centre, National Institute of Mental Health & Neurosciences, Bengaluru, Karnataka, India
| | - Boban Joseph
- Dept. of Psychiatry & Translational Psychiatry Laboratory, Cognitive Neurobiology Division, Neurobiology Research Centre, National Institute of Mental Health & Neurosciences, Bengaluru, Karnataka, India
| | - Sunil Kalmady Vasu
- Canadian VIGOUR Centre, University of Alberta, Edmonton, Alberta, Canada
| | - Sri Mahavir Agarwal
- Centre for Addiction and Mental Health, Dept. of Psychiatry, University of Toronto, Toronto, Ontario, Canada
| | - Kesavan Muralidharan
- Dept. of Psychiatry & Translational Psychiatry Laboratory, Cognitive Neurobiology Division, Neurobiology Research Centre, National Institute of Mental Health & Neurosciences, Bengaluru, Karnataka, India
| | - Ganesan Venkatasubramanian
- Dept. of Psychiatry & Translational Psychiatry Laboratory, Cognitive Neurobiology Division, Neurobiology Research Centre, National Institute of Mental Health & Neurosciences, Bengaluru, Karnataka, India
| | - Janardhanan C Narayanaswamy
- Dept. of Psychiatry & Translational Psychiatry Laboratory, Cognitive Neurobiology Division, Neurobiology Research Centre, National Institute of Mental Health & Neurosciences, Bengaluru, Karnataka, India
| |
Collapse
|
11
|
Migó M, Simpson K, Peters A, Ellard KK, Chou T, Nierenberg AA, Dougherty DD, Deckersbach T. Dimensional Affective Processing in BD. Psychiatry Res 2022; 307:114304. [PMID: 34896848 PMCID: PMC8744144 DOI: 10.1016/j.psychres.2021.114304] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/18/2021] [Revised: 10/01/2021] [Accepted: 11/23/2021] [Indexed: 01/03/2023]
Abstract
Bipolar Disorder (BD) involves altered neural affective processing, but studies comparing BD patients to controls have yielded inconsistent results. This might relate to substantial variability in the nature and severity of mood symptoms among individuals with BD. Hence, we dimensionally examined the relationship between depressive and manic symptom severity and neural responses to positive and negative affective stimuli. 39 Participants with BD completed measures of depression and mania severity prior to completing a cognitive-affective processing task during fMRI. A multiple regression model was run in SPM to identify brain regions correlated with depressive and manic symptoms during positive-neutral and negative-neutral contrasts. A-priori anatomical ROIs were defined bilaterally in frontal, parietal and limbic regions. Results showed that depression severity was associated with increased activation in frontal, parietal, and limbic ROIs, regardless of valence. Mania severity was correlated with both increased and decreased activation, particularly within frontal subdivisions and during the processing of positively valenced images. In conclusion, dimensional modeling of symptom severity captures variance in neural responses to affect, which may have been previously undetected due to heterogeneity when examined at the group level. Future fMRI studies comparing BD patients and controls should account for symptom variability in BD.
Collapse
Affiliation(s)
- Marta Migó
- Department of Psychiatry, Massachusetts General Hospital / Harvard Medical School, Boston, Massachusetts
| | - Kendra Simpson
- Department of Psychiatry, Massachusetts General Hospital / Harvard Medical School, Boston, Massachusetts
| | - Amy Peters
- Department of Psychiatry, Massachusetts General Hospital / Harvard Medical School, Boston, Massachusetts
| | - Kristen K. Ellard
- Department of Psychiatry, Massachusetts General Hospital / Harvard Medical School, Boston, Massachusetts
| | - Tina Chou
- Department of Psychiatry, Massachusetts General Hospital / Harvard Medical School, Boston, Massachusetts
| | - Andrew A. Nierenberg
- Department of Psychiatry, Massachusetts General Hospital / Harvard Medical School, Boston, Massachusetts
| | - Darin D. Dougherty
- Department of Psychiatry, Massachusetts General Hospital / Harvard Medical School, Boston, Massachusetts
| | - Thilo Deckersbach
- Department of Psychiatry, Massachusetts General Hospital / Harvard Medical School, Boston, Massachusetts,University of Applied Sciences, Diploma Hochschule, Germany
| |
Collapse
|
12
|
Furlong LS, Rossell SL, Karantonis JA, Cropley VL, Hughes M, Van Rheenen TE. Characterization of facial emotion recognition in bipolar disorder: Focus on emotion mislabelling and neutral expressions. J Neuropsychol 2021; 16:353-372. [PMID: 34762769 DOI: 10.1111/jnp.12267] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2021] [Revised: 10/28/2021] [Indexed: 11/29/2022]
Abstract
Increasing evidence suggests that facial emotion recognition is impaired in bipolar disorder (BD). However, patient-control differences are small owing to ceiling effects on the tasks used to assess them. The extant literature is also limited by a relative absence of attention towards identifying patterns of emotion misattribution or understanding whether neutral faces are mislabelled in the same way as ones displaying emotion. We addressed these limitations by comparing facial emotion recognition performance in BD patients and healthy controls on a novel and challenging task. Thirty-four outpatients with BD I and 32 demographically matched healthy controls completed a facial emotion recognition task requiring the labelling of neutral and emotive faces displayed at low emotional intensities. Results indicated that BD patients were significantly less accurate at labelling faces than healthy controls, particularly if they displayed fear or neutral expressions. There were no between-group differences in response times or patterns of emotion mislabelling, with both groups confusing sad and neutral faces, although BD patients also mislabelled sad faces as angry. Task performance did not significantly correlate with mood symptom severity in the BD group. These findings suggest that facial emotion recognition impairments in BD extend to neutral face recognition. Emotion misattribution occurs in a similar, albeit exaggerated manner in patients with BD compared to healthy controls. Future behavioural and neuroimaging research should reconsider the use of neutral faces as baseline stimuli in their task designs.
Collapse
Affiliation(s)
- Lisa S Furlong
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, University of Melbourne, Melbourne, Victoria, Australia
| | - Susan L Rossell
- Centre for Mental Health, Faculty of Health, Arts and Design, School of Health Sciences, Swinburne University, Melbourne, Victoria, Australia.,Department of Psychiatry, St Vincent's Hospital, Melbourne, Victoria, Australia
| | - James A Karantonis
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, University of Melbourne, Melbourne, Victoria, Australia.,Centre for Mental Health, Faculty of Health, Arts and Design, School of Health Sciences, Swinburne University, Melbourne, Victoria, Australia
| | - Vanessa L Cropley
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, University of Melbourne, Melbourne, Victoria, Australia
| | - Matthew Hughes
- Centre for Mental Health, Faculty of Health, Arts and Design, School of Health Sciences, Swinburne University, Melbourne, Victoria, Australia
| | - Tamsyn E Van Rheenen
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, University of Melbourne, Melbourne, Victoria, Australia.,Centre for Mental Health, Faculty of Health, Arts and Design, School of Health Sciences, Swinburne University, Melbourne, Victoria, Australia
| |
Collapse
|
13
|
Sankar A, Purves K, Colic L, Lippard ETC, Millard H, Fan S, Spencer L, Wang F, Pittman B, Constable RT, Gross JJ, Blumberg HP. Altered frontal cortex functioning in emotion regulation and hopelessness in bipolar disorder. Bipolar Disord 2021; 23:152-164. [PMID: 32521570 PMCID: PMC7790437 DOI: 10.1111/bdi.12954] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
OBJECTIVES Emotion regulation difficulties precipitate and exacerbate acute mood symptoms in individuals with bipolar disorder (BD), and contribute to suicidal behavior. However, few studies have examined regional brain responses in explicit emotion regulation during acute BD mood states, or hopelessness, a major suicide risk factor. We assessed brain responses during explicit emotion regulation, and their relationship with hopelessness, in acutely symptomatic and euthymic individuals with BD. METHODS Functional MRI data were obtained from individuals with BD who were either in acute negative (BD-A; n = 24) or euthymic (BD-E; n = 24) mood states, and from healthy volunteers (HV; n = 55), while participants performed a paradigm that instructed them to downregulate their responses to fearful (EmReg-Fear) and happy (EmReg-Happy) facial stimuli. Emotion regulation-related differences in brain responses during negative and euthymic BD states, as well as their associations with negative affective symptoms (hopelessness and depression), were examined. RESULTS Decreased responses were observed in ventral and dorsal frontal regions, including medial orbitofrontal (mOFC) and dorsal anterior cingulate cortices, during EmReg-Fear across symptomatic and euthymic states in participants with BD relative to HVs. The lowest responses were observed in the BD-A group. Across BD participants, negative associations were observed between mOFC responses and hopelessness, particularly due to loss of motivation. Differences were not significant during EmReg-Happy. CONCLUSIONS Lesser emotion regulation-related ventral and dorsal frontal engagement in BD could represent a trait abnormality that worsens during acute negative states. The reduced mOFC engagement in BD during explicit regulation of negative emotions may contribute to hopelessness particularly in the context of diminished motivation.
Collapse
Affiliation(s)
- Anjali Sankar
- Department of Psychiatry, Yale School of Medicine, New Haven, CT
| | - Kirstin Purves
- Department of Psychiatry, Yale School of Medicine, New Haven, CT,Social, Genetic Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, UK
| | - Lejla Colic
- Department of Psychiatry, Yale School of Medicine, New Haven, CT
| | - Elizabeth T Cox Lippard
- Department of Psychiatry, Yale School of Medicine, New Haven, CT,Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT,Department of Psychiatry, Dell Medical School, University of Texas, Austin, TX
| | - Hun Millard
- Department of Psychiatry, Yale School of Medicine, New Haven, CT,Child Study Center, Yale School of Medicine, New Haven, CT
| | - Siyan Fan
- Department of Psychiatry, Yale School of Medicine, New Haven, CT
| | - Linda Spencer
- Department of Psychiatry, Yale School of Medicine, New Haven, CT
| | - Fei Wang
- Department of Psychiatry, Yale School of Medicine, New Haven, CT
| | - Brian Pittman
- Department of Psychiatry, Yale School of Medicine, New Haven, CT
| | - R. Todd Constable
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT
| | - James J Gross
- Department of Psychology, Stanford University, Stanford, CA
| | - Hilary P Blumberg
- Department of Psychiatry, Yale School of Medicine, New Haven, CT,Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT,Child Study Center, Yale School of Medicine, New Haven, CT
| |
Collapse
|
14
|
Furlong LS, Rossell SL, Caruana GF, Cropley VL, Hughes M, Van Rheenen TE. The activity and connectivity of the facial emotion processing neural circuitry in bipolar disorder: a systematic review. J Affect Disord 2021; 279:518-548. [PMID: 33142156 DOI: 10.1016/j.jad.2020.10.038] [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: 05/28/2020] [Revised: 10/15/2020] [Accepted: 10/20/2020] [Indexed: 12/27/2022]
Abstract
BACKGROUND Facial emotion processing abnormalities may be a trait feature of bipolar disorder (BD). These social cognitive impairments may be due to alterations in the neural processing of facial affective information in visual ("core"), and limbic and prefrontal ("extended") networks, however, the precise neurobiological mechanism(s) underlying these symptoms are unclear. METHODS We conducted a systematic review to appraise the literature on the activity and connectivity of the facial emotion processing neural circuitry in BD. Two reviewers undertook a search of the electronic databases PubMed, Scopus and PsycINFO, to identify relevant literature published since inception up until September 2019. Study eligibility criteria included; BD participants, neuroimaging, and facial emotion processing tasks. RESULTS Out of an initial yield of 6121 articles, 66 were eligible for inclusion in this review. We identified differences in neural activity and connectivity within and between occipitotemporal, limbic, and prefrontal regions, in response to facial affective stimuli, in BD compared to healthy controls. LIMITATIONS The methodologies used across studies varied considerably. CONCLUSIONS The findings from this review suggest abnormalities in both the activity and connectivity of facial emotion processing neural circuitry in BD. It is recommended that future research aims to further define the connectivity and spatiotemporal course of neural events within and between occipitotemporal, limbic, and prefrontal regions.
Collapse
Affiliation(s)
- Lisa S Furlong
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, University of Melbourne and Melbourne Health, Melbourne, Australia
| | - Susan L Rossell
- Centre for Mental Health, Faculty of Health, Arts and Design, School of Health Sciences, Swinburne University, Melbourne, Australia; St Vincent's Mental Health, St Vincent's Hospital, VIC, Australia
| | - Georgia F Caruana
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, University of Melbourne and Melbourne Health, Melbourne, Australia
| | - Vanessa L Cropley
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, University of Melbourne and Melbourne Health, Melbourne, Australia; Centre for Mental Health, Faculty of Health, Arts and Design, School of Health Sciences, Swinburne University, Melbourne, Australia
| | - Matthew Hughes
- Centre for Mental Health, Faculty of Health, Arts and Design, School of Health Sciences, Swinburne University, Melbourne, Australia
| | - Tamsyn E Van Rheenen
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, University of Melbourne and Melbourne Health, Melbourne, Australia; Centre for Mental Health, Faculty of Health, Arts and Design, School of Health Sciences, Swinburne University, Melbourne, Australia.
| |
Collapse
|
15
|
Konoike N, Iwaoki H, Nakamura K. Potent and Quick Responses to Conspecific Faces and Snakes in the Anterior Cingulate Cortex of Monkeys. Front Behav Neurosci 2020; 14:156. [PMID: 33132857 PMCID: PMC7552906 DOI: 10.3389/fnbeh.2020.00156] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2020] [Accepted: 08/07/2020] [Indexed: 11/13/2022] Open
Abstract
Appropriate processing of others' facial emotions is a fundamental ability of primates in social situations. Several moods and anxiety disorders such as depression cause a negative bias in the perception of facial emotions. Depressive patients show abnormalities of activity and gray matter volume in the perigenual portion of the anterior cingulate cortex (ACC) and an increase of activation in the amygdala. However, it is not known whether neurons in the ACC have a function in the processing of facial emotions. Furthermore, detecting predators quickly and taking avoidance behavior are important functions in a matter of life and death for wild monkeys. the existence of predators in their vicinity is life-and-death information for monkeys. In the present study, we recorded the activity of single neurons from the monkey ACC and examined the responsiveness of the ACC neurons to various visual stimuli including monkey faces, snakes, foods, and artificial objects. About one-fourth of the recorded neurons showed a significant change in activity in response to the stimuli. The ACC neurons exhibited high selectivity to certain stimuli, and more neurons exhibited the maximal response to monkey faces and snakes than to foods and objects. The responses to monkey faces and snakes were faster and stronger compared to those to foods and objects. Almost all of the neurons that responded to video stimuli responded strongly to negative facial stimuli, threats, and scream. Most of the responsive neurons were located in the cingulate gyrus or the ventral bank of the cingulate sulcus just above or anterior to the genu of the corpus callosum, that is, the perigenual portion of the ACC, which has a strong mutual connection with the amygdala. These results suggest that the perigenual portion of the ACC in addition to the amygdala processes emotional information, especially negative life-and-death information such as conspecifics' faces and snakes.
Collapse
Affiliation(s)
- Naho Konoike
- Section of Cognitive Neuroscience, Primate Research Institute, Kyoto University, Inuyama, Japan
| | - Haruhiko Iwaoki
- Section of Cognitive Neuroscience, Primate Research Institute, Kyoto University, Inuyama, Japan
| | - Katsuki Nakamura
- Section of Cognitive Neuroscience, Primate Research Institute, Kyoto University, Inuyama, Japan
| |
Collapse
|
16
|
Ní Bhroin M, Abo Seada S, Bonthrone AF, Kelly CJ, Christiaens D, Schuh A, Pietsch M, Hutter J, Tournier JD, Cordero-Grande L, Rueckert D, Hajnal JV, Pushparajah K, Simpson J, Edwards AD, Rutherford MA, Counsell SJ, Batalle D. Reduced structural connectivity in cortico-striatal-thalamic network in neonates with congenital heart disease. Neuroimage Clin 2020; 28:102423. [PMID: 32987301 PMCID: PMC7520425 DOI: 10.1016/j.nicl.2020.102423] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2020] [Revised: 08/17/2020] [Accepted: 09/07/2020] [Indexed: 12/15/2022]
Abstract
Impaired brain development has been observed in newborns with congenital heart disease (CHD). We performed graph theoretical analyses and network-based statistics (NBS) to assess global brain network topology and identify subnetworks of altered connectivity in infants with CHD prior to cardiac surgery. Fifty-eight infants with critical/serious CHD prior to surgery and 116 matched healthy controls as part of the developing Human Connectome Project (dHCP) underwent MRI on a 3T system and high angular resolution diffusion MRI (HARDI) was obtained. Multi-tissue constrained spherical deconvolution, anatomically constrained probabilistic tractography (ACT) and spherical-deconvolution informed filtering of tractograms (SIFT2) was used to construct weighted structural networks. Network topology was assessed and NBS was used to identify structural connectivity differences between CHD and control groups. Structural networks were partitioned into core and peripheral nodes, and edges classed as core, peripheral, or feeder. NBS identified one subnetwork with reduced structural connectivity in CHD infants involving basal ganglia, amygdala, hippocampus, cerebellum, vermis, and temporal and parieto-occipital lobe, primarily affecting core nodes and edges. However, we did not find significantly different global network characteristics in CHD neonates. This locally affected sub-network with reduced connectivity could explain, at least in part, the neurodevelopmental impairments associated with CHD.
Collapse
Affiliation(s)
- Megan Ní Bhroin
- Centre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK; Trinity College Institute of Neuroscience and Cognitive Systems Group, Discipline of Psychiatry, School of Medicine, Trinity College Dublin, Ireland
| | - Samy Abo Seada
- Centre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK
| | - Alexandra F Bonthrone
- Centre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK
| | - Christopher J Kelly
- Centre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK
| | - Daan Christiaens
- Centre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK; Department of Electrical Engineering (ESAT/PSI), KU Leuven, Leuven, Belgium
| | - Andreas Schuh
- Department of Computing, Imperial College London, London, UK
| | - Maximilian Pietsch
- Centre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK
| | - Jana Hutter
- Centre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK
| | - J-Donald Tournier
- Centre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK
| | - Lucillio Cordero-Grande
- Centre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK; Biomedical Image Technologies, ETSI Telecomunicación, Universidad Politécnica de Madrid & CIBER-BBN, Madrid, Spain
| | - Daniel Rueckert
- Department of Computing, Imperial College London, London, UK
| | - Joseph V Hajnal
- Centre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK
| | - Kuberan Pushparajah
- Paediatric Cardiology Department, Evelina London Children's Healthcare, London, UK
| | - John Simpson
- Congenital Heart Disease, Evelina London Children's Hospital, London, UK
| | - A David Edwards
- Centre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK
| | - Mary A Rutherford
- Centre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK
| | - Serena J Counsell
- Centre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK.
| | - Dafnis Batalle
- Centre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK; Department of Forensic and Neurodevelopmental Science, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| |
Collapse
|
17
|
Sinha SK, Das B, Munda SK, Umesh S, Goyal N. Cortical source localization during facial emotion recognition in bipolar mania: An ERP study. Asian J Psychiatr 2020; 52:102170. [PMID: 32464518 DOI: 10.1016/j.ajp.2020.102170] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/06/2019] [Revised: 05/10/2020] [Accepted: 05/11/2020] [Indexed: 11/16/2022]
Abstract
Facial emotion recognition has enormous value for humans in social cognition and thereby day to day functioning. Disturbances in the processing of emotional cues are seen in all the three phases of bipolar disorder and have been proposed as an etiology in the development of bipolar disorder. 30 consented patients with bipolar mania with psychotic symptoms and 30 age and sex matched healthy controls were taken for the study. Facial emotion ecognition task containing four basic emotions namely happy, sad, anger and fear were used. Sixty four (64) channel ERP recordings were done for all the subjects. Source localization was done using sLORETA selecting the window for late positive potentials (LPP). Statistically significant and reduced cortical sources were noted in the right insula (p = 0.004) at the peak of LPP during response to anger facial emotions in bipolar mania patients. Hypoactivation of right insular cortex during response to anger emotion may be due to the aberrant activation and possible failure of interoceptive prediction system during acute manic phase are discussed.
Collapse
Affiliation(s)
- Sudip Kumar Sinha
- K.S. Mani Centre for Cognitive Neurosciences, Department of Psychiatry, Central Institute of Psychiatry, Ranchi, 834006 Jharkhand, India.
| | - Basudeb Das
- K.S. Mani Centre for Cognitive Neurosciences, Department of Psychiatry, Central Institute of Psychiatry, Ranchi, 834006 Jharkhand, India
| | - Sanjay Kumar Munda
- K.S. Mani Centre for Cognitive Neurosciences, Department of Psychiatry, Central Institute of Psychiatry, Ranchi, 834006 Jharkhand, India
| | - Shreekantiah Umesh
- K.S. Mani Centre for Cognitive Neurosciences, Department of Psychiatry, Central Institute of Psychiatry, Ranchi, 834006 Jharkhand, India
| | - Nishant Goyal
- K.S. Mani Centre for Cognitive Neurosciences, Department of Psychiatry, Central Institute of Psychiatry, Ranchi, 834006 Jharkhand, India
| |
Collapse
|
18
|
Wang Y, Gao Y, Tang S, Lu L, Zhang L, Bu X, Li H, Hu X, Hu X, Jiang P, Jia Z, Gong Q, Sweeney JA, Huang X. Large-scale network dysfunction in the acute state compared to the remitted state of bipolar disorder: A meta-analysis of resting-state functional connectivity. EBioMedicine 2020; 54:102742. [PMID: 32259712 PMCID: PMC7136605 DOI: 10.1016/j.ebiom.2020.102742] [Citation(s) in RCA: 43] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2020] [Revised: 02/28/2020] [Accepted: 03/16/2020] [Indexed: 02/08/2023] Open
Abstract
Background Bipolar disorder (BD) is a mental disorder characterized by mood fluctuations between an acute episodic state of either mania or depression and a clinically remitted state. Dysfunction of large-scale intrinsic brain networks has been demonstrated in this disorder, but it remains unknown whether those network alterations are related to different states. Methods In the present study, we performed a meta-analysis of whole-brain seed-based resting-state functional connectivity (rsFC) studies in BD patients to compare the intrinsic function of brain networks between episodic and remitted states. Thirty-nine seed-based voxel-wise rsFC datasets from thirty publications (1047 BD patients vs 1081 controls) were included in the meta-analysis. Seeds were categorized into networks by their locations within a priori functional networks. Seed-based d mapping analysis of between-state effects identified brain systems in which different states were associated with increased connectivity or decreased connectivity within and between each seed network. Findings We found that BD patients presented decreased connectivity within the affective network (AN) in acute episodes but not in the remitted state of the illness. Similar decreased connectivity within the default-mode network (DMN) was also found in the acute state, but it was replaced by increased connectivity in the remitted state. In addition, different patterns of between-network dysconnectivity were observed between the acute and remitted states. Interpretation This study is the first to identify different patterns of intrinsic function in large-scale brain networks between the acute and remitted states of BD through meta-analysis. The findings suggest that a shift in network function between the acute and remitted states may be related to distinct emotional and cognitive dysfunctions in BD, which may have important implications for identifying clinically relevant biomarkers to guide alternative treatment strategies for BD patients during active episodes or remission. Funding This study was supported by grants from the National Natural Science Foundation of China (81171488, 81671669 and 81820108018) and by a Sichuan Provincial Youth Grant (2017JQ0001).
Collapse
Affiliation(s)
- Yanlin Wang
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu 610041, China
| | - Yingxue Gao
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu 610041, China
| | - Shi Tang
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu 610041, China
| | - Lu Lu
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu 610041, China
| | - Lianqing Zhang
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu 610041, China
| | - Xuan Bu
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu 610041, China
| | - Hailong Li
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu 610041, China
| | - Xiaoxiao Hu
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu 610041, China
| | - Xinyu Hu
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu 610041, China
| | - Ping Jiang
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu 610041, China
| | - Zhiyun Jia
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu 610041, China
| | - Qiyong Gong
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu 610041, China
| | - John A Sweeney
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu 610041, China; Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati, Cincinnati, OH, United States
| | - Xiaoqi Huang
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu 610041, China.
| |
Collapse
|
19
|
Neural correlates of emotion processing predict resilience in youth at familial risk for mood disorders. Dev Psychopathol 2019; 31:1037-1052. [PMID: 31064610 DOI: 10.1017/s0954579419000579] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
Aberrant face emotion processing has been demonstrated in youth with and at a familial risk for bipolar and major depressive disorders. However, the neurobiological factors related to emotion processing that underlie resilience from youth-onset mood disorders are not well understood. Functional magnetic resonance imaging data during an implicit emotion processing task were collected at baseline from a sample of 50 youth, ages 8-17, who were healthy but also familially at high risk for either bipolar disorder or major depressive disorder, and 24 healthy controls with no family history of psychopathology (HCL). Participants were reevaluated 3 years later and classified into three groups for analysis: high-risk youth who converted to a psychiatric diagnosis (CVT; N = 23), high-risk youth who were resilient from developing any psychopathology (RES; N = 27), and HCL youth (N = 24) who remained healthy at follow-up. For happy > calm faces, the CVT and RES groups had significantly lower activation in the left inferior parietal lobe (IPL), while the RES group had lower activation in the right supramarginal gyrus. For fear > calm faces, the RES group had lower activation in the right precuneus and inferior frontal gyrus (IFG) compared to the CVT group. Connectivity analyses revealed the RES group exhibited higher left IPL connectivity with visual cortical regions for happy > calm faces, and higher IFG connectivity with frontal, temporal, and limbic regions for fear > calm faces. These connectivities were correlated with improvements in prosocial behaviors and global functioning. Our findings suggest that differential activation and connectivity in the IPL, IFG, and precuneus in response to emotional stimuli may represent distinct resilience and risk markers for youth-onset mood disorders.
Collapse
|
20
|
Differentiating between bipolar and unipolar depression in functional and structural MRI studies. Prog Neuropsychopharmacol Biol Psychiatry 2019; 91:20-27. [PMID: 29601896 DOI: 10.1016/j.pnpbp.2018.03.022] [Citation(s) in RCA: 133] [Impact Index Per Article: 26.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/22/2018] [Revised: 03/25/2018] [Accepted: 03/25/2018] [Indexed: 01/10/2023]
Abstract
Distinguishing depression in bipolar disorder (BD) from unipolar depression (UD) solely based on clinical clues is difficult, which has led to the exploration of promising neural markers in neuroimaging measures for discriminating between BD depression and UD. In this article, we review structural and functional magnetic resonance imaging (MRI) studies that directly compare UD and BD depression based on neuroimaging modalities including functional MRI studies on regional brain activation or functional connectivity, structural MRI on gray or white matter morphology, and pattern classification analyses using a machine learning approach. Numerous studies have reported distinct functional and structural alterations in emotion- or reward-processing neural circuits between BD depression and UD. Different activation patterns in neural networks including the amygdala, anterior cingulate cortex (ACC), prefrontal cortex (PFC), and striatum during emotion-, reward-, or cognition-related tasks have been reported between BD and UD. A stronger functional connectivity pattern in BD was pronounced in default mode and in frontoparietal networks and brain regions including the PFC, ACC, parietal and temporal regions, and thalamus compared to UD. Gray matter volume differences in the ACC, hippocampus, amygdala, and dorsolateral prefrontal cortex (DLPFC) have been reported between BD and UD, along with a thinner DLPFC in BD compared to UD. BD showed reduced integrity in the anterior part of the corpus callosum and posterior cingulum compared to UD. Several studies performed pattern classification analysis using structural and functional MRI data to distinguish between UD and BD depression using a supervised machine learning approach, which yielded a moderate level of accuracy in classification.
Collapse
|
21
|
Lee I, Nielsen K, Nawaz U, Hall MH, Öngür D, Keshavan M, Brady R. Diverse pathophysiological processes converge on network disruption in mania. J Affect Disord 2019; 244:115-123. [PMID: 30340100 PMCID: PMC6785980 DOI: 10.1016/j.jad.2018.10.087] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/06/2018] [Revised: 09/19/2018] [Accepted: 10/05/2018] [Indexed: 12/15/2022]
Abstract
BACKGROUND Neuroimaging of psychiatric disease is challenged by the difficulty of establishing the causal role of neuroimaging abnormalities. Lesions that cause mania present a unique opportunity to understand how brain network disruption may cause mania in both lesions and in bipolar disorder. METHODS A literature search revealed 23 case reports with imaged lesions that caused mania in patients without history of bipolar disorder. We traced these lesions and examined resting-state functional Magnetic Resonance Imaging (rsfMRI) connectivity to these lesions and control lesions to find networks that would be disrupted specifically by mania-causing lesions. The results were then used as regions-of-interest to examine rsfMRI connectivity in patients with bipolar disorder (n = 16) who underwent imaging longitudinally across states of both mania and euthymia alongside a cohort of healthy participants scanned longitudinally. We then sought to replicate these results in independent cohorts of manic (n = 26) and euthymic (n = 21) participants with bipolar disorder. RESULTS Mania-inducing lesions overlap significantly in network connectivity. Mania-causing lesions selectively disrupt networks that include orbitofrontal cortex, dorsolateral prefrontal cortex, and temporal lobes. In bipolar disorder, the manic state was reflected in strong, significant, and specific disruption in network communication between these regions and regions implicated in bipolar pathophysiology: the amygdala and ventro-lateral prefrontal cortex. LIMITATIONS There was heterogeneity in the clinical characterization of mania causing lesions. CONCLUSIONS Lesions causing mania demonstrate shared and specific network disruptions. These disruptions are also observed in bipolar mania and suggest a convergence of multiple disorders on shared circuit dysfunction to cause mania.
Collapse
Affiliation(s)
- Ivy Lee
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston, MA, USA,Department of Psychiatry, Harvard Medical School, Boston, MA, USA
| | - Kathryn Nielsen
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston, MA, USA,Schizophrenia and Bipolar Disorder Program, McLean Hospital, Belmont, MA, USA
| | - Uzma Nawaz
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston, MA, USA,Department of Psychiatry, Harvard Medical School, Boston, MA, USA
| | - Mei-Hua Hall
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA,Schizophrenia and Bipolar Disorder Program, McLean Hospital, Belmont, MA, USA
| | - Dost Öngür
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA,Schizophrenia and Bipolar Disorder Program, McLean Hospital, Belmont, MA, USA
| | - Matcheri Keshavan
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston, MA, USA,Department of Psychiatry, Harvard Medical School, Boston, MA, USA
| | - Roscoe Brady
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston, MA, USA; Department of Psychiatry, Harvard Medical School, Boston, MA, USA; Schizophrenia and Bipolar Disorder Program, McLean Hospital, Belmont, MA, USA.
| |
Collapse
|
22
|
Abstract
While impairments in cognitive emotional processing are key to the experience of mood disorders, little is understood of their shared and distinct features across major depressive disorder (MDD) and bipolar disorder (BD). In this review, we discuss the similarities and differences in abnormal emotional processing associated with mood disorders across the cognitive domains of perception, attention, memory, and reward processing, with a particular focus on how these impairments relate to the clinical profile of the disorders. We consider behavioral and neuroimaging evidence, especially that of the growing consensus surrounding mood-congruent biases in cognition, in combination with state- and trait-related characteristics in an attempt to provide a more comprehensive and translational overview of mood disorders. Special consideration is given to the shared phenomenon of mood instability and its role as a potential transdiagnostic marker across the prodrome and maintenance of mood disorders.
Collapse
|
23
|
Yin Z, Chang M, Wei S, Jiang X, Zhou Y, Cui L, Lv J, Wang F, Tang Y. Decreased Functional Connectivity in Insular Subregions in Depressive Episodes of Bipolar Disorder and Major Depressive Disorder. Front Neurosci 2018; 12:842. [PMID: 30487732 PMCID: PMC6246657 DOI: 10.3389/fnins.2018.00842] [Citation(s) in RCA: 49] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2018] [Accepted: 10/29/2018] [Indexed: 11/13/2022] Open
Abstract
Objective: Clinically, it is very difficult to distinguish between major depressive disorder (MDD) and bipolar disorder (BD) in the period of depression. Increasing evidence shows that the insula plays an important role in depression. We aimed to compare the resting-state functional connectivity (rsFC) of insular subregions in patients with MDD and BD in depressive episodes (BDD), who had never experienced manic or hypomanic episodes when they were scanned to identify biomarkers for the identification of two diseases. Methods: We recruited 21 BDD patients, 40 MDD patients and 70 healthy controls (HC). Resting-state functional magnetic resonance imaging (rs-fMRI) was performed. BDD patients had never had manic or hypomanic episodes when they were scanned, and the diagnoses were determined by follow-up. We divided the insula into three parts including the ventral anterior insular cortex (v-AIN), dorsal anterior insular cortex (d-AIN), and posterior insula (PI). The insular-based rsFC was compared among the three groups, and an analysis of the correlation between the rsFC value and Hamilton depression and anxiety scales was carried out. Results: BDD and MDD patients demonstrated decreased rsFC from the v-AIN to the left superior/middle frontal gyrus compared with the HC group. Versus MDD and HC groups, BDD patients exhibited decreased rsFC from the v-AIN to the area in the left orbital frontal gyrus and left superior temporal gyrus (included temporal pole), from the PI to the right lateral postcentral gyrus and from all three insular subregions to the somatosensory and motor cortex. Meanwhile, a correlation between the rsFC value of the PI-right lateral postcentral gyrus and anxiety score was observed in patients. Conclusion: Our findings show BDD and MDD patients have similar decreases in insular connectivity in the dorsal lateral frontal regions, and BDD patients have specific decreased insular connectivity, especially in the somatosensory and motor cortex, which may be used as imaging evidence for clinical identification.
Collapse
Affiliation(s)
- Zhiyang Yin
- Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, China.,Brain Function Research Section, The First Affiliated Hospital of China Medical University, Shenyang, China
| | - Miao Chang
- Brain Function Research Section, The First Affiliated Hospital of China Medical University, Shenyang, China.,Department of Radiology, The First Affiliated Hospital of China Medical University, Shenyang, China
| | - Shengnan Wei
- Brain Function Research Section, The First Affiliated Hospital of China Medical University, Shenyang, China.,Department of Radiology, The First Affiliated Hospital of China Medical University, Shenyang, China
| | - Xiaowei Jiang
- Brain Function Research Section, The First Affiliated Hospital of China Medical University, Shenyang, China.,Department of Radiology, The First Affiliated Hospital of China Medical University, Shenyang, China
| | - Yifang Zhou
- Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, China.,Department of Geriatric Medicine, The First Affiliated Hospital of China Medical University, Shenyang, China
| | - Lingling Cui
- Department of Radiology, The First Affiliated Hospital of China Medical University, Shenyang, China
| | - Jing Lv
- Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, China.,Brain Function Research Section, The First Affiliated Hospital of China Medical University, Shenyang, China
| | - Fei Wang
- Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, China.,Brain Function Research Section, The First Affiliated Hospital of China Medical University, Shenyang, China.,Department of Radiology, The First Affiliated Hospital of China Medical University, Shenyang, China
| | - Yanqing Tang
- Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, China.,Brain Function Research Section, The First Affiliated Hospital of China Medical University, Shenyang, China.,Department of Geriatric Medicine, The First Affiliated Hospital of China Medical University, Shenyang, China
| |
Collapse
|
24
|
Korgaonkar MS, Erlinger M, Breukelaar IA, Boyce P, Hazell P, Antees C, Foster S, Grieve SM, Gomes L, Williams LM, Harris AWF, Malhi GS. Amygdala Activation and Connectivity to Emotional Processing Distinguishes Asymptomatic Patients With Bipolar Disorders and Unipolar Depression. BIOLOGICAL PSYCHIATRY: COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2018; 4:361-370. [PMID: 30343134 DOI: 10.1016/j.bpsc.2018.08.012] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/01/2018] [Revised: 08/06/2018] [Accepted: 08/18/2018] [Indexed: 02/01/2023]
Abstract
BACKGROUND Mechanistically based neural markers, such as amygdala reactivity, offer one approach to addressing the challenges of differentiating bipolar and unipolar depressive disorders independently from mood state and acute symptoms. Although emotion-elicited amygdala reactivity has been found to distinguish patients with bipolar depression from patients with unipolar depression, it remains unknown whether this distinction is traitlike and present in the absence of an acutely depressed mood. We addressed this gap by investigating patients with bipolar disorder (BP) and unipolar major depressive disorder (MDD) in remission. METHODS Supraliminal and subliminal processing of faces exhibiting threat, sad, happy, and neutral emotions during functional magnetic resonance imaging was completed by 73 participants (23 BP patients and 25 MDD patients matched for age and gender, number of depressive episodes and severity; 25 age- and gender-matched healthy control subjects). We compared groups for activation and connectivity for the amygdala. RESULTS BP patients had lower left amygdala activation than MDD patients during supraliminal and subliminal threat, sad, and neutral emotion processing and for subliminal happy faces. BP patients also exhibited lower amygdala connectivity to the insula and hippocampus for threat and to medial orbitofrontal cortex for happy supraliminal and subliminal processing. BP patients also demonstrated greater amygdala-insula connectivity for sad supraliminal and subliminal face processing. Both patient groups were distinct from control subjects across several measures for activation and connectivity. CONCLUSIONS Independent of valence or level of emotional awareness, amygdala activation and connectivity during facial emotion processing can distinguish BP patients and MDD patients. These findings provide evidence that this neural substrate could be a potential trait marker to differentiate these two disorders largely independent of illness state.
Collapse
Affiliation(s)
- Mayuresh S Korgaonkar
- Brain Dynamics Centre, Westmead Institute for Medical Research, The University of Sydney, New South Wales, Australia; Discipline of Psychiatry, University of Sydney School of Medicine, New South Wales, Australia.
| | - May Erlinger
- Brain Dynamics Centre, Westmead Institute for Medical Research, The University of Sydney, New South Wales, Australia
| | - Isabella A Breukelaar
- Brain Dynamics Centre, Westmead Institute for Medical Research, The University of Sydney, New South Wales, Australia
| | - Philip Boyce
- Discipline of Psychiatry, University of Sydney School of Medicine, New South Wales, Australia
| | - Philip Hazell
- Discipline of Psychiatry, University of Sydney School of Medicine, New South Wales, Australia
| | - Cassandra Antees
- Brain Dynamics Centre, Westmead Institute for Medical Research, The University of Sydney, New South Wales, Australia
| | - Sheryl Foster
- Department of Radiology, Westmead Hospital, Westmead, New South Wales, Australia; Discipline of Medical Radiation Sciences, Faculty of Health Science, The University of Sydney, New South Wales, Australia
| | - Stuart M Grieve
- Sydney Translational Imaging Laboratory, Heart Research Institute, Charles Perkins Centre and University of Sydney School of Medicine, New South Wales, Australia; Department of Radiology, Royal Prince Alfred Hospital, Camperdown, New South Wales, Australia
| | - Lavier Gomes
- Department of Radiology, Westmead Hospital, Westmead, New South Wales, Australia
| | - Leanne M Williams
- Brain Dynamics Centre, Westmead Institute for Medical Research, The University of Sydney, New South Wales, Australia; Psychiatry and Behavioral Sciences, Stanford University, Stanford, Palo Alto, California; Sierra-Pacific Mental Illness Research, Education, and Clinical Center, Palo Alto Veterans Affairs Health Care System, Palo Alto, California
| | - Anthony W F Harris
- Brain Dynamics Centre, Westmead Institute for Medical Research, The University of Sydney, New South Wales, Australia; Discipline of Psychiatry, University of Sydney School of Medicine, New South Wales, Australia
| | - Gin S Malhi
- Discipline of Psychiatry, University of Sydney School of Medicine, New South Wales, Australia; Clinical Assessment Diagnostic Evaluation (CADE) Clinic, Department of Psychiatry, Royal North Shore Hospital, Sydney, New South Wales, Australia
| |
Collapse
|
25
|
Zhang B, Wang C, Ma G, Fan H, Wang J, Wang W. Cerebral processing of facial emotions in bipolar I and II disorders: An event-related potential study. J Affect Disord 2018; 236:37-44. [PMID: 29709719 DOI: 10.1016/j.jad.2018.04.098] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/08/2017] [Revised: 03/13/2018] [Accepted: 04/08/2018] [Indexed: 10/17/2022]
Abstract
BACKGROUND Behavioral results have shown that bipolar disorder patients have impaired recognition of facial emotions, but the detailed information processing of facial emotions in patients with bipolar I (BD I) and II (BD II) disorders remain unknown. METHODS We tested the cerebral event-related potentials to the static facial expressions of Neutral, Happiness, Anger and Sadness in 39 adult patients with BD I, 22 BD II, and 54 healthy volunteers. Participants' affective states were measured with the Mood Disorder Questionnaire, the Hypomania Checklist-32, and the Plutchik-van Praag Depression Inventory. RESULTS Over-processed right occipitotemporal cortex during N1 time window to Neutral and Happiness, and during P3b window to Sadness were found in BD I; prolonged N1 latencies to Neutral and Happiness, declined P3b amplitude to Sadness, negative correlation between P3b latency to Sadness and depression, and attenuated superior frontal activity during P3b window to Sadness were found in BD II; and the right-side dominance during facial emotion processing were found in both BD I and BD II. LIMITATIONS We didn't record the personality traits or medication used in patients, nor included other facial emotions such as fear and disgust. CONCLUSIONS When responding to facial emotions, both BD I and BD II showed a right-side processing dominance; BD I displayed enhanced processing in the right occipitotemporal cortex during structural encoding and categorical processing of facial emotions; while BD II displayed generalized impairments, less involvement of superior frontal cortex to negative emotions, and reduced ability to process negative emotions which was associated with depression.
Collapse
Affiliation(s)
- Bingren Zhang
- Department of Clinical Psychology and Psychiatry/School of Public Health, Zhejiang University College of Medicine, Hangzhou, Zhejiang 310058 China
| | - Chu Wang
- Department of Clinical Psychology and Psychiatry/School of Public Health, Zhejiang University College of Medicine, Hangzhou, Zhejiang 310058 China
| | - Guorong Ma
- Department of Clinical Psychology and Psychiatry/School of Public Health, Zhejiang University College of Medicine, Hangzhou, Zhejiang 310058 China
| | - Hongying Fan
- Department of Clinical Psychology and Psychiatry/School of Public Health, Zhejiang University College of Medicine, Hangzhou, Zhejiang 310058 China
| | - Jiawei Wang
- Department of Clinical Psychology and Psychiatry/School of Public Health, Zhejiang University College of Medicine, Hangzhou, Zhejiang 310058 China
| | - Wei Wang
- Department of Clinical Psychology and Psychiatry/School of Public Health, Zhejiang University College of Medicine, Hangzhou, Zhejiang 310058 China.
| |
Collapse
|
26
|
Shaffer JJ, Johnson CP, Fiedorowicz JG, Christensen GE, Wemmie JA, Magnotta VA. Impaired sensory processing measured by functional MRI in Bipolar disorder manic and depressed mood states. Brain Imaging Behav 2018; 12:837-847. [PMID: 28674759 PMCID: PMC5752628 DOI: 10.1007/s11682-017-9741-8] [Citation(s) in RCA: 40] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Bipolar disorder is characterized by recurring episodes of depression and mania. Defining differences in brain function during these states is an important goal of bipolar disorder research. However, few imaging studies have directly compared brain activity between bipolar mood states. Herein, we compare functional magnetic resonance imaging (fMRI) responses during a flashing checkerboard stimulus between bipolar participants across mood states (euthymia, depression, and mania) in order to identify functional differences between these states. 40 participants with bipolar I disorder and 33 healthy controls underwent fMRI during the presentation of the stimulus. A total of 23 euthymic-state, 16 manic-state, 15 depressed-state, and 32 healthy control imaging sessions were analyzed in order to compare functional activation during the stimulus between mood states and with healthy controls. A reduced response was identified in the visual cortex in both the depressed and manic groups compared to euthymic and healthy participants. Functional differences between bipolar mood states were also observed in the cerebellum, thalamus, striatum, and hippocampus. Functional differences between mood states occurred in several brain regions involved in visual and other sensory processing. These differences suggest that altered visual processing may be a feature of mood states in bipolar disorder. The key limitations of this study are modest mood-state group size and the limited temporal resolution of fMRI which prevents the segregation of primary visual activity from regulatory feedback mechanisms.
Collapse
Affiliation(s)
- Joseph J Shaffer
- Department of Radiology, University of Iowa, Iowa City, IA, USA.
- , PBDB L420, 169 Newton Rd., Iowa City, IA, 52242, USA.
| | - Casey P Johnson
- Department of Radiology, University of Iowa, Iowa City, IA, USA
| | - Jess G Fiedorowicz
- Department of Psychiatry, University of Iowa, Iowa City, IA, USA
- Department of Epidemiology, University of Iowa, Iowa City, IA, USA
- Department of Internal Medicine, University of Iowa, Iowa City, IA, USA
- Abboud Cardiovascular Research Center, University of Iowa, Iowa City, IA, USA
| | - Gary E Christensen
- Department of Electrical and Computer Engineering, University of Iowa, Iowa City, IA, USA
- Department of Radiation Oncology, University of Iowa, Iowa City, IA, USA
| | - John A Wemmie
- Department of Psychiatry, University of Iowa, Iowa City, IA, USA
- Department of Veterans Affairs Medical Center, Iowa City, IA, USA
- Department of Molecular Physiology and Biophysics, University of Iowa, Iowa City, IA, USA
- Department of Neurosurgery, University of Iowa, Iowa City, IA, USA
- Pappajohn Biomedical Institute, University of Iowa, Iowa City, IA, USA
| | - Vincent A Magnotta
- Department of Radiology, University of Iowa, Iowa City, IA, USA
- Department of Psychiatry, University of Iowa, Iowa City, IA, USA
- Department of Biomedical Engineering, University of Iowa, Iowa City, IA, USA
| |
Collapse
|
27
|
Ferreira GCS, Sanches RF, Crippa JADS, Mello MFD, Osório FL. Borderline personality disorder and bias in the recognition of facial expressions of emotion: a pathway to understand the psychopathology. ACTA ACUST UNITED AC 2018. [DOI: 10.1590/0101-60830000000146] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Affiliation(s)
| | | | | | | | - Flávia L. Osório
- University of São Paulo, Brazil; National Institute of Science and Technology – Translational Medicine, Brazil
| |
Collapse
|
28
|
Harenski CL, Calhoun VD, Bustillo JR, Haas BW, Decety J, Harenski KA, Caldwell MF, Van Rybroek GJ, Koenigs M, Thornton DM, Kiehl KA. Functional connectivity during affective mentalizing in criminal offenders with psychotic disorders: Associations with clinical symptoms. Psychiatry Res 2018; 271:91-99. [PMID: 29146299 PMCID: PMC5741458 DOI: 10.1016/j.pscychresns.2017.11.003] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/09/2017] [Revised: 10/19/2017] [Accepted: 11/03/2017] [Indexed: 12/19/2022]
Abstract
Psychotic disorders are associated with neurobehavioral impairments in mental state attribution (mentalizing). These impairments are most severe in psychotic patients with elevated symptom levels, particularly negative and cognitive symptoms. There have been few studies of functional connectivity related to mentalizing in psychotic disorders and associations with symptoms. We conducted a functional MRI study of affective mentalizing in individuals with psychotic disorders and varying symptom levels (positive, negative, cognitive). Participants were drawn from an adjudicated inpatient forensic psychiatric population (criminal offenders). Functional MRI scans were acquired using a 32-channel ultra-fast multiband imaging sequence. Mentalizing task performance and functional connectivity were assessed in psychotic criminal offenders (n = 46) and nonpsychotic offenders (n = 41). Temporal coherent brain networks were estimated with group independent component analysis (ICA). Relative to nonpsychotic offenders, psychotic offenders showed impaired task performance and reduced activation in a component comprising the dorsomedial prefrontal cortex, superior temporal gyrus, and ventrolateral prefrontal cortex. Positive and cognitive symptoms were inversely correlated with component activity and task performance. The results are discussed with reference to potential mechanisms underlying impaired social cognition in psychotic disorders and across symptom types.
Collapse
Affiliation(s)
- Carla L Harenski
- The Mind Research Network and Lovelace Biomedical and Environmental Research Institute, Albuquerque, NM, USA.
| | - Vince D Calhoun
- The Mind Research Network and Lovelace Biomedical and Environmental Research Institute, Albuquerque, NM, USA; Department of Electrical and Computer Engineering, University of New Mexico, Albuquerque, NM, USA
| | - Juan R Bustillo
- Department of Psychiatry, University of New Mexico, Albuquerque, NM, USA
| | | | - Jean Decety
- Departments of Psychology and Psychiatry and Behavioral Neuroscience, University of Chicago, Chicago, IL, USA
| | - Keith A Harenski
- The Mind Research Network and Lovelace Biomedical and Environmental Research Institute, Albuquerque, NM, USA
| | | | | | - Michael Koenigs
- Department of Psychiatry, University of Wisconsin - Madison, Madison, WI, USA
| | | | - Kent A Kiehl
- The Mind Research Network and Lovelace Biomedical and Environmental Research Institute, Albuquerque, NM, USA; Department of Psychology, University of New Mexico, Albuquerque, NM, USA
| |
Collapse
|
29
|
Branco LD, Cotrena C, Ponsoni A, Salvador-Silva R, Vasconcellos SJL, Fonseca RP. Identification and Perceived Intensity of Facial Expressions of Emotion in Bipolar Disorder and Major Depression. Arch Clin Neuropsychol 2017; 33:491-501. [DOI: 10.1093/arclin/acx080] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2017] [Accepted: 08/22/2017] [Indexed: 11/13/2022] Open
Affiliation(s)
- L D Branco
- Department of Psychology, Pontifícal Catholic University of Rio Grande do Sul. Porto Alegre, RS, Brazil
| | - C Cotrena
- Department of Psychology, Pontifícal Catholic University of Rio Grande do Sul. Porto Alegre, RS, Brazil
| | - A Ponsoni
- Department of Psychology, Pontifícal Catholic University of Rio Grande do Sul. Porto Alegre, RS, Brazil
| | - R Salvador-Silva
- Department of Psychology, Pontifícal Catholic University of Rio Grande do Sul. Porto Alegre, RS, Brazil
| | - S J L Vasconcellos
- Department of Psychology, Federal University of Santa Maria. Santa Maria, RS, Brazil
| | - R P Fonseca
- Department of Psychology, Pontifícal Catholic University of Rio Grande do Sul. Porto Alegre, RS, Brazil
| |
Collapse
|
30
|
Dialectical Behavior Therapy Group Skills Training for Bipolar Disorder. Behav Ther 2017; 48:557-566. [PMID: 28577590 PMCID: PMC6145450 DOI: 10.1016/j.beth.2016.12.006] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/31/2016] [Revised: 12/19/2016] [Accepted: 12/28/2016] [Indexed: 12/25/2022]
Abstract
There is growing evidence that the capacity for emotion regulation is compromised in individuals with bipolar disorder. Dialectical behavior therapy (DBT), an empirically supported treatment that specifically targets emotion dysregulation, may be an effective adjunct treatment for improving emotion regulation and residual mood symptoms in patients with bipolar disorder. In this open, proof-of-concept pilot study, 37 participants engaged in a 12-week DBT group skills training program, learning mindfulness, emotion regulation, and distress tolerance skills. Repeated measures mixed models revealed skill acquisition in the areas of mindfulness, emotion regulation and distress tolerance, as well as improved psychological well-being and decreased emotion reactivity. The results of this study support a burgeoning literature that DBT is a feasible adjunct intervention for patients with bipolar disorder.
Collapse
|
31
|
Fractional amplitude of low-frequency fluctuations is disrupted in Alzheimer’s disease with depression. Clin Neurophysiol 2017; 128:1344-1349. [DOI: 10.1016/j.clinph.2017.05.003] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2016] [Revised: 03/12/2017] [Accepted: 05/01/2017] [Indexed: 12/31/2022]
|
32
|
Arjmand S, Behzadi M, Stephens GJ, Ezzatabadipour S, Seifaddini R, Arjmand S, Shabani M. A Brain on a Roller Coaster: Can the Dopamine Reward System Act as a Protagonist to Subdue the Ups and Downs of Bipolar Disorder? Neuroscientist 2017; 24:423-439. [DOI: 10.1177/1073858417714226] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
One of the most interesting but tenebrous parts of the bipolar disorder (BD) story is the switch between (hypo)mania and depression, which can give bipolar patients a thrilling, but somewhat perilous, ‘ride’. Numerous studies have pointed out that there are some recognizable differences (either state-dependent or state-independent) in several brain regions of people with BD, including components of the brain’s reward system. Understanding the underpinning mechanisms of high and low mood statuses in BD has potential, not only for the development of highly specific and selective pharmaceutical agents, but also for better treatment approaches and psychological interventions to manage BD and, thus, give patients a safer ride. Herein, we review evidence that supports involvement of the reward system in the pathophysiology of mood swings, with the main focus on the mesocorticolimbic dopaminergic neural circuitry. Principally using findings from neuroimaging studies, we aim to signpost readers as to how mood alterations may affect different areas of the reward system and how antipsychotic drugs can influence the activity of these brain areas. Finally, we critically evaluate the hypothesis that the mesocorticolimbic dopamine reward system may act as a functional rheostat for different mood states.
Collapse
Affiliation(s)
- Shokouh Arjmand
- Kerman Neuroscience Research Center, Neuropharmacology Institute, Kerman University of Medical Sciences, Kerman, Iran
| | - Mina Behzadi
- Kerman Neuroscience Research Center, Neuropharmacology Institute, Kerman University of Medical Sciences, Kerman, Iran
| | - Gary J. Stephens
- School of Pharmacy, Reading University, Whiteknights, Reading, UK
| | - Sara Ezzatabadipour
- Kerman Neuroscience Research Center, Neuropharmacology Institute, Kerman University of Medical Sciences, Kerman, Iran
| | - Rostam Seifaddini
- Neurology Research Center, Kerman University of Medical Sciences, Kerman, Iran
| | - Shahrad Arjmand
- Department of Psychology, Shahid Bahonar University of Kerman, Kerman, Iran
| | - Mohammad Shabani
- Kerman Neuroscience Research Center, Neuropharmacology Institute, Kerman University of Medical Sciences, Kerman, Iran
| |
Collapse
|
33
|
Impaired cognitive control over emotional material in euthymic bipolar disorder. J Affect Disord 2017; 214:108-114. [PMID: 28288404 DOI: 10.1016/j.jad.2017.03.007] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/05/2016] [Revised: 01/29/2017] [Accepted: 03/05/2017] [Indexed: 12/31/2022]
Abstract
BACKGROUND Previous research suggests that bipolar disorder (BD) is characterized by deficits in cognitive control (CC). Impaired CC has been found in high-risk samples and is associated with the maintenance of BD symptoms. It remains unclear, however, whether BD is characterized by a general deficit in CC or by a deficit that is specifically related to the processing of emotional material. METHODS The sample consisted of 42 remitted bipolar patients and 39 healthy controls (HC). We examined whether BD individuals display impaired CC when confronted with negative as well as positive material using an arithmetic inhibition task that required inhibition of pictorial stimulus material. RESULTS Whereas both groups showed difficulties in exerting CC over negative material, only BD individuals exhibited deficient CC over positive material. LIMITATIONS Even though we intended the negative and positive pictures in the arithmetic inhibition task to be similarly arousing, participants in the current study rated the negative compared to the positive pictures as more arousing. CONCLUSIONS BD is associated with impaired CC when processing emotional - especially positive - stimuli even when patients are in remission. Possible implications of this deficit especially for emotion regulation are discussed.
Collapse
|
34
|
Roberts G, Lord A, Frankland A, Wright A, Lau P, Levy F, Lenroot RK, Mitchell PB, Breakspear M. Functional Dysconnection of the Inferior Frontal Gyrus in Young People With Bipolar Disorder or at Genetic High Risk. Biol Psychiatry 2017; 81:718-727. [PMID: 28031150 DOI: 10.1016/j.biopsych.2016.08.018] [Citation(s) in RCA: 85] [Impact Index Per Article: 12.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/09/2015] [Revised: 07/20/2016] [Accepted: 08/04/2016] [Indexed: 12/26/2022]
Abstract
BACKGROUND Bipolar disorder (BD) is characterized by a dysregulation of affect and impaired integration of emotion with cognition. These traits are also expressed in probands at high genetic risk of BD. The inferior frontal gyrus (IFG) is a key cortical hub in the circuits of emotion and cognitive control, and it has been frequently associated with BD. Here, we studied resting-state functional connectivity of the left IFG in participants with BD and in those at increased genetic risk. METHODS Using resting-state functional magnetic resonance imaging we compared 49 young BD participants, 71 individuals with at least one first-degree relative with BD (at-risk), and 80 control subjects. We performed between-group analyses of the functional connectivity of the left IFG and used graph theory to study its local functional network topology. We also used machine learning to study classification based solely on the functional connectivity of the IFG. RESULTS In BD, the left IFG was functionally dysconnected from a network of regions, including bilateral insulae, ventrolateral prefrontal gyri, superior temporal gyri, and the putamen (p < .001). A small network incorporating neighboring insular regions and the anterior cingulate cortex showed weaker functional connectivity in at-risk than control participants (p < .006). These constellations of regions overlapped with frontolimbic regions that a machine learning classifier selected as predicting group membership with an accuracy significantly greater than chance. CONCLUSIONS Functional dysconnectivity of the IFG from regions involved in emotional regulation may represent a trait abnormality for BD and could potentially aid clinical diagnosis.
Collapse
Affiliation(s)
- Gloria Roberts
- School of Psychiatry, University of New South Wales, Randwick, New South Wales; Black Dog Institute, Randwick, New South Wales
| | - Anton Lord
- Program of Mental Health Research, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Andrew Frankland
- School of Psychiatry, University of New South Wales, Randwick, New South Wales; Black Dog Institute, Randwick, New South Wales
| | - Adam Wright
- Black Dog Institute, Randwick, New South Wales
| | - Phoebe Lau
- School of Psychiatry, University of New South Wales, Randwick, New South Wales; Black Dog Institute, Randwick, New South Wales
| | - Florence Levy
- School of Psychiatry, University of New South Wales, Randwick, New South Wales; Department of •••, Prince of Wales Hospital, Randwick, New South Wales
| | - Rhoshel K Lenroot
- School of Psychiatry, University of New South Wales, Randwick, New South Wales; Neuroscience Research Australia, Randwick, New South Wales
| | - Philip B Mitchell
- School of Psychiatry, University of New South Wales, Randwick, New South Wales; Black Dog Institute, Randwick, New South Wales; Department of •••, Prince of Wales Hospital, Randwick, New South Wales
| | - Michael Breakspear
- School of Psychiatry, University of New South Wales, Randwick, New South Wales; Program of Mental Health Research, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia; Metro North Mental Health Service, Brisbane, Queensland, Australia.
| |
Collapse
|
35
|
Abstract
The goal of this study was to observe the differences in brain activation under negative emotional picture stimuli in drug-naïve female patients with a first major depressive episode, comparing patients with and without stressful life experiences prior to the onset of depression. Using a 3.0 T magnetic resonance imaging (MRI) system, 18 patients who experienced stressful life events (SLEs) and 15 patients who did not experience SLEs were scanned under a task-fMRI paradigm designed to distinguish between negative and neutral neural responses to visual stimuli. SPM 8.0 software was used to process the fMRI data; the significantly activated brain regions were recorded and organized in the Montreal Neurological Institute (MNI) standard space. Upon stimulation with negative emotional pictures, depressed patients who had experienced SLEs showed significantly increased activation of the bilateral superior temporal gyrus, left middle temporal gyrus, left middle occipital gyrus, left medial frontal gyrus, right inferior frontal gyrus, bilateral precentral gyrus, bilateral postcentral gyrus, bilateral middle frontal gyrus, right precuneus, left paracentral lobule, bilateral thalamus, bilateral hippocampus, and left cerebellum when compared with depressed patients who did not experience SLEs.The brain regions that showed increased activation in depressed patients who experienced SLEs were primarily located in the neural circuits of the emotion processing system; this result likely indicates that these patients may have an increased negative cognitive bias in the perception, experience, and memory of negative emotional events, as well as their response to those events.
Collapse
|
36
|
Hibar DP, Westlye LT, van Erp TGM, Rasmussen J, Leonardo CD, Faskowitz J, Haukvik UK, Hartberg CB, Doan NT, Agartz I, Dale AM, Gruber O, Krämer B, Trost S, Liberg B, Abé C, Ekman CJ, Ingvar M, Landén M, Fears SC, Freimer NB, Bearden CE, Sprooten E, Glahn DC, Pearlson GD, Emsell L, Kenney J, Scanlon C, McDonald C, Cannon DM, Almeida J, Versace A, Caseras X, Lawrence NS, Phillips ML, Dima D, Delvecchio G, Frangou S, Satterthwaite TD, Wolf D, Houenou J, Henry C, Malt UF, Bøen E, Elvsåshagen T, Young AH, Lloyd AJ, Goodwin GM, Mackay CE, Bourne C, Bilderbeck A, Abramovic L, Boks MP, van Haren NEM, Ophoff RA, Kahn RS, Bauer M, Pfennig A, Alda M, Hajek T, Mwangi B, Soares JC, Nickson T, Dimitrova R, Sussmann JE, Hagenaars S, Whalley HC, McIntosh AM, Thompson PM, Andreassen OA. Subcortical volumetric abnormalities in bipolar disorder. Mol Psychiatry 2016; 21:1710-1716. [PMID: 26857596 PMCID: PMC5116479 DOI: 10.1038/mp.2015.227] [Citation(s) in RCA: 317] [Impact Index Per Article: 39.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/21/2014] [Revised: 12/08/2015] [Accepted: 12/11/2015] [Indexed: 11/29/2022]
Abstract
Considerable uncertainty exists about the defining brain changes associated with bipolar disorder (BD). Understanding and quantifying the sources of uncertainty can help generate novel clinical hypotheses about etiology and assist in the development of biomarkers for indexing disease progression and prognosis. Here we were interested in quantifying case-control differences in intracranial volume (ICV) and each of eight subcortical brain measures: nucleus accumbens, amygdala, caudate, hippocampus, globus pallidus, putamen, thalamus, lateral ventricles. In a large study of 1710 BD patients and 2594 healthy controls, we found consistent volumetric reductions in BD patients for mean hippocampus (Cohen's d=-0.232; P=3.50 × 10-7) and thalamus (d=-0.148; P=4.27 × 10-3) and enlarged lateral ventricles (d=-0.260; P=3.93 × 10-5) in patients. No significant effect of age at illness onset was detected. Stratifying patients based on clinical subtype (BD type I or type II) revealed that BDI patients had significantly larger lateral ventricles and smaller hippocampus and amygdala than controls. However, when comparing BDI and BDII patients directly, we did not detect any significant differences in brain volume. This likely represents similar etiology between BD subtype classifications. Exploratory analyses revealed significantly larger thalamic volumes in patients taking lithium compared with patients not taking lithium. We detected no significant differences between BDII patients and controls in the largest such comparison to date. Findings in this study should be interpreted with caution and with careful consideration of the limitations inherent to meta-analyzed neuroimaging comparisons.
Collapse
Affiliation(s)
- D P Hibar
- Imaging Genetics Center, University of Southern California, Los Angeles, CA, USA
| | - L T Westlye
- Division of Mental Health and Addiction, Norwegian Centre for Mental Disorders Research, KG Jebsen Centre for Psychosis Research, Oslo University Hospital, Oslo, Norway
- Department of Psychology, University of Oslo, Oslo, Norway
| | - T G M van Erp
- Department of Psychiatry and Human Behavior, University of California, Irvine, CA, USA
| | - J Rasmussen
- Department of Psychiatry and Human Behavior, University of California, Irvine, CA, USA
| | - C D Leonardo
- Imaging Genetics Center, University of Southern California, Los Angeles, CA, USA
| | - J Faskowitz
- Imaging Genetics Center, University of Southern California, Los Angeles, CA, USA
| | - U K Haukvik
- Division of Mental Health and Addiction, Norwegian Centre for Mental Disorders Research, KG Jebsen Centre for Psychosis Research, Oslo University Hospital, Oslo, Norway
- Department of Psychiatric Research, Diakonhjemmet Hospital, Oslo, Norway
| | - C B Hartberg
- Division of Mental Health and Addiction, Norwegian Centre for Mental Disorders Research, KG Jebsen Centre for Psychosis Research, Oslo University Hospital, Oslo, Norway
| | - N T Doan
- Division of Mental Health and Addiction, Norwegian Centre for Mental Disorders Research, KG Jebsen Centre for Psychosis Research, Oslo University Hospital, Oslo, Norway
| | - I Agartz
- Division of Mental Health and Addiction, Norwegian Centre for Mental Disorders Research, KG Jebsen Centre for Psychosis Research, Oslo University Hospital, Oslo, Norway
- Department of Psychiatric Research, Diakonhjemmet Hospital, Oslo, Norway
| | - A M Dale
- MMIL, Department of Radiology, University of California, San Diego, CA, USA
- Department of Cognitive Science, Neurosciences and Psychiatry, University of California, San Diego, CA, USA
| | - O Gruber
- Center for Translational Research in Systems Neuroscience and Psychiatry, Department of Psychiatry and Psychotherapy, Georg August University Goettingen, Goettingen, Germany
- Section for Experimental Psychopathology and Neuroimaging, Department of General Psychiatry, Heidelberg University Hospital, Heidelberg, Germany
| | - B Krämer
- Center for Translational Research in Systems Neuroscience and Psychiatry, Department of Psychiatry and Psychotherapy, Georg August University Goettingen, Goettingen, Germany
| | - S Trost
- Center for Translational Research in Systems Neuroscience and Psychiatry, Department of Psychiatry and Psychotherapy, Georg August University Goettingen, Goettingen, Germany
| | - B Liberg
- Department of Clinical Neuroscience, Section of Psychiatry, Karolinska Institutet, Stockholm, Sweden
| | - C Abé
- Osher Center for Integrative Medicine, Karolinska Institutet, Stockholm, Sweden
| | - C J Ekman
- Department of Clinical Neuroscience, Section of Psychiatry, Karolinska Institutet, Stockholm, Sweden
| | - M Ingvar
- Osher Center for Integrative Medicine, Karolinska Institutet, Stockholm, Sweden
- Karolinska MR Research Center, Karolinska Institutet, Stockholm, Sweden
- Department of Neuroradiology, Karolinska University Hospital, Stockholm, Sweden
| | - M Landén
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, University of Gothenburg, Gothenburg, Sweden
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - S C Fears
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, CA, USA
- Center for Neurobehavioral Genetics, University of California, Los Angeles, CA, USA
| | - N B Freimer
- Center for Neurobehavioral Genetics, University of California, Los Angeles, CA, USA
| | - C E Bearden
- Center for Neurobehavioral Genetics, University of California, Los Angeles, CA, USA
- Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, CA, USA
- Department of Psychology, University of California, Los Angeles, CA, USA
| | - the Costa Rica/Colombia Consortium for Genetic Investigation of Bipolar Endophenotypes
- Imaging Genetics Center, University of Southern California, Los Angeles, CA, USA
- Division of Mental Health and Addiction, Norwegian Centre for Mental Disorders Research, KG Jebsen Centre for Psychosis Research, Oslo University Hospital, Oslo, Norway
- Department of Psychology, University of Oslo, Oslo, Norway
- Department of Psychiatry and Human Behavior, University of California, Irvine, CA, USA
- Department of Psychiatric Research, Diakonhjemmet Hospital, Oslo, Norway
- MMIL, Department of Radiology, University of California, San Diego, CA, USA
- Department of Cognitive Science, Neurosciences and Psychiatry, University of California, San Diego, CA, USA
- Center for Translational Research in Systems Neuroscience and Psychiatry, Department of Psychiatry and Psychotherapy, Georg August University Goettingen, Goettingen, Germany
- Section for Experimental Psychopathology and Neuroimaging, Department of General Psychiatry, Heidelberg University Hospital, Heidelberg, Germany
- Department of Clinical Neuroscience, Section of Psychiatry, Karolinska Institutet, Stockholm, Sweden
- Osher Center for Integrative Medicine, Karolinska Institutet, Stockholm, Sweden
- Karolinska MR Research Center, Karolinska Institutet, Stockholm, Sweden
- Department of Neuroradiology, Karolinska University Hospital, Stockholm, Sweden
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, University of Gothenburg, Gothenburg, Sweden
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, CA, USA
- Center for Neurobehavioral Genetics, University of California, Los Angeles, CA, USA
- Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, CA, USA
- Department of Psychology, University of California, Los Angeles, CA, USA
- Department of Psychiatry, Yale University, New Haven, CT, USA
- Olin Neuropsychiatric Research Center, Institute of Living, Hartford, CT, USA
- Department of Neurobiology, Yale University School of Medicine, New Haven, CT, USA
- Clinical Neuroimaging Laboratory, College of Medicine, Nursing and Health Sciences, National University of Ireland Galway, Galway, Ireland
- Department of Psychiatry, Brown University, Providence, RI, USA
- Department of Psychiatry, University of Pittsburgh, Western Psychiatric Institute and Clinic, Pittsburgh, PA, USA
- MRC Centre for Neuropsychiatric Genetics and Genomics, Institute of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK
- School of Psychology, University of Exeter, Exeter, UK
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
- Neurospin, Uniact, I2BM, CEA Saclay, Saclay, France
- Inserm, U955, Equipe 15 Psychiatrie génétique, Créteil, France
- Université Paris-Est, UMR-S955, UPEC, Créteil, France
- Department of Psychosomatic Medicine, Oslo University Hospital—Rikshospitalet, Oslo, Norway
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Research and Education, Oslo University Hospital, Oslo, Norway
- Norwegian Research Network On Mood Disorders, Oslo, Norway
- Department of Neurology, Oslo University Hospital, Oslo, Norway
- Centre for Affective Disorders, King's College London, London, UK
- Academic Psychiatry and Regional Affective Disorders Service, Newcastle University, Newcastle, UK
- Department of Psychiatry, University of Oxford, Oxford, UK
- Department of Psychology and Counselling, Newman University, Birmingham, UK
- University of Oxford Centre for Clinical Magnetic Resonance Research, Oxford, UK
- Department of Psychiatry, University Medical Centre Utrecht - Brain Centre Rudolf Magnus, Utrecht, The Netherlands
- Department of Psychiatry and Psychotherapy, Carl Gustav Carus University Hospital, Medizinische Fakultät, Technische Universität Dresden, Dresden, Germany
- Department of Psychiatry, Dalhousie University, Halifax, Canada
- National Institute of Mental Health, Klecany, Czech Republic
- UT Center of Excellence on Mood Disorders, Department of Psychiatry and Behavioral Sciences, UT Houston Medical School, Houston, TX, USA
- Division of Psychiatry, University of Edinburgh, Edinburgh, UK
| | - E Sprooten
- Department of Psychiatry, Yale University, New Haven, CT, USA
- Olin Neuropsychiatric Research Center, Institute of Living, Hartford, CT, USA
| | - D C Glahn
- Department of Psychiatry, Yale University, New Haven, CT, USA
- Olin Neuropsychiatric Research Center, Institute of Living, Hartford, CT, USA
| | - G D Pearlson
- Department of Psychiatry, Yale University, New Haven, CT, USA
- Olin Neuropsychiatric Research Center, Institute of Living, Hartford, CT, USA
- Department of Neurobiology, Yale University School of Medicine, New Haven, CT, USA
| | - L Emsell
- Clinical Neuroimaging Laboratory, College of Medicine, Nursing and Health Sciences, National University of Ireland Galway, Galway, Ireland
| | - J Kenney
- Clinical Neuroimaging Laboratory, College of Medicine, Nursing and Health Sciences, National University of Ireland Galway, Galway, Ireland
| | - C Scanlon
- Clinical Neuroimaging Laboratory, College of Medicine, Nursing and Health Sciences, National University of Ireland Galway, Galway, Ireland
| | - C McDonald
- Clinical Neuroimaging Laboratory, College of Medicine, Nursing and Health Sciences, National University of Ireland Galway, Galway, Ireland
| | - D M Cannon
- Clinical Neuroimaging Laboratory, College of Medicine, Nursing and Health Sciences, National University of Ireland Galway, Galway, Ireland
| | - J Almeida
- Department of Psychiatry, Brown University, Providence, RI, USA
| | - A Versace
- Department of Psychiatry, University of Pittsburgh, Western Psychiatric Institute and Clinic, Pittsburgh, PA, USA
| | - X Caseras
- MRC Centre for Neuropsychiatric Genetics and Genomics, Institute of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK
| | - N S Lawrence
- School of Psychology, University of Exeter, Exeter, UK
| | - M L Phillips
- MRC Centre for Neuropsychiatric Genetics and Genomics, Institute of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK
| | - D Dima
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - G Delvecchio
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - S Frangou
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - T D Satterthwaite
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - D Wolf
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - J Houenou
- Neurospin, Uniact, I2BM, CEA Saclay, Saclay, France
- Inserm, U955, Equipe 15 Psychiatrie génétique, Créteil, France
| | - C Henry
- Inserm, U955, Equipe 15 Psychiatrie génétique, Créteil, France
- Université Paris-Est, UMR-S955, UPEC, Créteil, France
| | - U F Malt
- Department of Psychosomatic Medicine, Oslo University Hospital—Rikshospitalet, Oslo, Norway
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Research and Education, Oslo University Hospital, Oslo, Norway
| | - E Bøen
- Department of Psychiatric Research, Diakonhjemmet Hospital, Oslo, Norway
- Department of Psychosomatic Medicine, Oslo University Hospital—Rikshospitalet, Oslo, Norway
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Norwegian Research Network On Mood Disorders, Oslo, Norway
| | - T Elvsåshagen
- Division of Mental Health and Addiction, Norwegian Centre for Mental Disorders Research, KG Jebsen Centre for Psychosis Research, Oslo University Hospital, Oslo, Norway
- Department of Psychosomatic Medicine, Oslo University Hospital—Rikshospitalet, Oslo, Norway
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Neurology, Oslo University Hospital, Oslo, Norway
| | - A H Young
- Centre for Affective Disorders, King's College London, London, UK
| | - A J Lloyd
- Academic Psychiatry and Regional Affective Disorders Service, Newcastle University, Newcastle, UK
| | - G M Goodwin
- Department of Psychiatry, University of Oxford, Oxford, UK
| | - C E Mackay
- Department of Psychiatry, University of Oxford, Oxford, UK
| | - C Bourne
- Department of Psychiatry, University of Oxford, Oxford, UK
- Department of Psychology and Counselling, Newman University, Birmingham, UK
| | - A Bilderbeck
- Department of Psychiatry, University of Oxford, Oxford, UK
- University of Oxford Centre for Clinical Magnetic Resonance Research, Oxford, UK
| | - L Abramovic
- Department of Psychiatry, University Medical Centre Utrecht - Brain Centre Rudolf Magnus, Utrecht, The Netherlands
| | - M P Boks
- Department of Psychiatry, University Medical Centre Utrecht - Brain Centre Rudolf Magnus, Utrecht, The Netherlands
| | - N E M van Haren
- Department of Psychiatry, University Medical Centre Utrecht - Brain Centre Rudolf Magnus, Utrecht, The Netherlands
| | - R A Ophoff
- Center for Neurobehavioral Genetics, University of California, Los Angeles, CA, USA
- Department of Psychiatry, University Medical Centre Utrecht - Brain Centre Rudolf Magnus, Utrecht, The Netherlands
| | - R S Kahn
- Department of Psychiatry, University Medical Centre Utrecht - Brain Centre Rudolf Magnus, Utrecht, The Netherlands
| | - M Bauer
- Department of Psychiatry and Psychotherapy, Carl Gustav Carus University Hospital, Medizinische Fakultät, Technische Universität Dresden, Dresden, Germany
| | - A Pfennig
- Department of Psychiatry and Psychotherapy, Carl Gustav Carus University Hospital, Medizinische Fakultät, Technische Universität Dresden, Dresden, Germany
| | - M Alda
- Department of Psychiatry, Dalhousie University, Halifax, Canada
| | - T Hajek
- Department of Psychiatry, Dalhousie University, Halifax, Canada
- National Institute of Mental Health, Klecany, Czech Republic
| | - B Mwangi
- UT Center of Excellence on Mood Disorders, Department of Psychiatry and Behavioral Sciences, UT Houston Medical School, Houston, TX, USA
| | - J C Soares
- UT Center of Excellence on Mood Disorders, Department of Psychiatry and Behavioral Sciences, UT Houston Medical School, Houston, TX, USA
| | - T Nickson
- Division of Psychiatry, University of Edinburgh, Edinburgh, UK
| | - R Dimitrova
- Division of Psychiatry, University of Edinburgh, Edinburgh, UK
| | - J E Sussmann
- Division of Psychiatry, University of Edinburgh, Edinburgh, UK
| | - S Hagenaars
- Division of Psychiatry, University of Edinburgh, Edinburgh, UK
| | - H C Whalley
- Division of Psychiatry, University of Edinburgh, Edinburgh, UK
| | - A M McIntosh
- Division of Psychiatry, University of Edinburgh, Edinburgh, UK
| | - P M Thompson
- Imaging Genetics Center, University of Southern California, Los Angeles, CA, USA
- Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, CA, USA
| | - O A Andreassen
- Division of Mental Health and Addiction, Norwegian Centre for Mental Disorders Research, KG Jebsen Centre for Psychosis Research, Oslo University Hospital, Oslo, Norway
| |
Collapse
|
37
|
Filkowski MM, Haas BW. Rethinking the Use of Neutral Faces as a Baseline in fMRI Neuroimaging Studies of Axis-I Psychiatric Disorders. J Neuroimaging 2016; 27:281-291. [PMID: 27805291 DOI: 10.1111/jon.12403] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2016] [Accepted: 09/30/2016] [Indexed: 11/29/2022] Open
Abstract
Major Axis-I disorders including major depressive disorder (MDD), bipolar disorder (BD), anxiety disorder, and schizophrenia are associated with a host of aberrations in the way social stimuli are processed. Face perception tasks are often used in neuroimaging research of emotion processing in both healthy and patient populations, and to date, there exists a mounting body of evidence, both behavioral and within the brain, indicating that emotional faces compared to neutral faces are processed abnormally by those with Axis-I disorders relative to healthy control (HC) groups. The use of neutral faces as a "baseline control condition" is predicated on the assumption that neutral faces are processed in the same way HCs and individuals with major Axis-I disorders. In this paper, existing fMRI studies examining the way neutral faces are processed in groups with Axis-I disorders involving socioaffective perception are reviewed. In reviewing available studies, a consistent pattern of results demonstrated that these disorders are associated with abnormal frontolimbic activity in response to neutral faces and in particular within the amygdala and prefrontal regions such as the dorsolateral prefrontal cortex (DLPFC) and anterior cingulate cortex (ACC) compared to HC groups. Specifically, increased amygdala activation was consistently reported in response to neutral faces in anxiety disorders and schizophrenia. Abnormal medial PFC activity was reported in patients with MDD, and patients with BD exhibit decreased activity in the DLPFC and ACC relative to HCs. In addition, specific suggestions to overcome these obstacles with new research and additional analyses are discussed.
Collapse
Affiliation(s)
- Megan M Filkowski
- Behavioral and Brain Sciences Program, Department of Psychology, University of Georgia, 125 Baldwin Street, Athens, GA
| | - Brian W Haas
- Behavioral and Brain Sciences Program, Department of Psychology, University of Georgia, 125 Baldwin Street, Athens, GA
| |
Collapse
|
38
|
Cancelier K, Gomes LM, Carvalho-Silva M, Teixeira LJ, Rebelo J, Mota IT, Arent CO, Mariot E, Kist LW, Bogo MR, Quevedo J, Scaini G, Streck EL. Omega-3 Fatty Acids and Mood Stabilizers Alter Behavioural and Energy Metabolism Parameters in Animals Subjected to an Animal Model of Mania Induced by Fenproporex. Mol Neurobiol 2016; 54:3935-3947. [PMID: 27246566 DOI: 10.1007/s12035-016-9933-z] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2016] [Accepted: 05/10/2016] [Indexed: 11/28/2022]
Abstract
Studies have shown that changes in energy metabolism are involved in the pathophysiology of bipolar disorder (BD). It was suggested that omega-3 (ω3) fatty acids have beneficial properties in the central nervous system and that this fatty acid plays an important role in energy metabolism. Therefore, the study aimed to evaluate the effect of ω3 fatty acids alone and in combination with lithium (Li) or valproate (VPA) on behaviour and parameters of energy metabolism in an animal model of mania induced by fenproporex. Our results showed that co-administration of ω3 fatty acids and Li was able to prevent and reverse the increase in locomotor and exploratory activity induced by fenproporex. The combination of ω3 fatty acids with VPA was only able to prevent the fenproporex-induced hyperactivity. For the energy metabolism parameters, our results showed that the administration of Fen for the reversal or prevention protocol inhibited the activities of succinate dehydrogenase, complex II and complex IV in the hippocampus. However, hippocampal creatine kinase (CK) activity was decreased only for the reversal protocol. The ω3 fatty acids, alone and in combination with VPA or Li, prevented and reversed the decrease in complex II, IV and succinate dehydrogenase activity, whereas the decrease in CK activity was only reversed after the co-administration of ω3 fatty acids and VPA. In conclusion, our results showed that the ω3 fatty acids combined with VPA or Li were able to prevent and reverse manic-like hyperactivity and the inhibition of energy metabolism in the hippocampus, suggesting that ω3 fatty acids may play an important role in the modulation of behavioural parameters and energy metabolism.
Collapse
Affiliation(s)
- Kizzy Cancelier
- Laboratório de Bioenergética, Programa de Pós-graduação em Ciências da Saúde, Universidade do Extremo Sul Catarinense, Criciúma, SC, Brazil
| | - Lara M Gomes
- Laboratório de Bioenergética, Programa de Pós-graduação em Ciências da Saúde, Universidade do Extremo Sul Catarinense, Criciúma, SC, Brazil
| | - Milena Carvalho-Silva
- Laboratório de Bioenergética, Programa de Pós-graduação em Ciências da Saúde, Universidade do Extremo Sul Catarinense, Criciúma, SC, Brazil
| | - Letícia J Teixeira
- Laboratório de Bioenergética, Programa de Pós-graduação em Ciências da Saúde, Universidade do Extremo Sul Catarinense, Criciúma, SC, Brazil
| | - Joyce Rebelo
- Laboratório de Bioenergética, Programa de Pós-graduação em Ciências da Saúde, Universidade do Extremo Sul Catarinense, Criciúma, SC, Brazil
| | - Isabella T Mota
- Laboratório de Bioenergética, Programa de Pós-graduação em Ciências da Saúde, Universidade do Extremo Sul Catarinense, Criciúma, SC, Brazil
| | - Camila O Arent
- Laboratory of Neurosciences, Graduate Program in Health Sciences, Health Sciences Unit, University of Southern Santa Catarina (UNESC), Criciúma, Santa Catarina, Brazil
| | - Edemilson Mariot
- Laboratory of Neurosciences, Graduate Program in Health Sciences, Health Sciences Unit, University of Southern Santa Catarina (UNESC), Criciúma, Santa Catarina, Brazil
| | - Luiza W Kist
- Laboratório de Biologia Genômica e Molecular, Departamento de Biologia Celular e Molecular, Faculdade de Biociências, Pontifícia Universidade Católica do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil
| | - Maurício R Bogo
- Laboratório de Biologia Genômica e Molecular, Departamento de Biologia Celular e Molecular, Faculdade de Biociências, Pontifícia Universidade Católica do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil
| | - João Quevedo
- Translational Psychiatry Program, Department of Psychiatry and Behavioral Sciences, McGovern Medical School, The University of Texas Health Science Center (UTHealth), 1941 East Road, Ste. 5102, Houston, TX, USA.,Center of Excellence on Mood Disorders, Department of Psychiatry and Behavioral Sciences, McGovern Medical School, The University of Texas Health Science Center (UTHealth), Houston, TX, USA.,Laboratory of Neurosciences, Graduate Program in Health Sciences, Health Sciences Unit, University of Southern Santa Catarina (UNESC), Criciúma, Santa Catarina, Brazil
| | - Giselli Scaini
- Laboratório de Bioenergética, Programa de Pós-graduação em Ciências da Saúde, Universidade do Extremo Sul Catarinense, Criciúma, SC, Brazil. .,Translational Psychiatry Program, Department of Psychiatry and Behavioral Sciences, McGovern Medical School, The University of Texas Health Science Center (UTHealth), 1941 East Road, Ste. 5102, Houston, TX, USA.
| | - Emilio L Streck
- Laboratório de Bioenergética, Programa de Pós-graduação em Ciências da Saúde, Universidade do Extremo Sul Catarinense, Criciúma, SC, Brazil
| |
Collapse
|
39
|
Lee SA, Kim CY, Lee SH. Non-Conscious Perception of Emotions in Psychiatric Disorders: The Unsolved Puzzle of Psychopathology. Psychiatry Investig 2016; 13:165-73. [PMID: 27081376 PMCID: PMC4823191 DOI: 10.4306/pi.2016.13.2.165] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/27/2015] [Revised: 05/13/2015] [Accepted: 05/29/2015] [Indexed: 11/19/2022] Open
Abstract
Psychophysiological and functional neuroimaging studies have frequently and consistently shown that emotional information can be processed outside of the conscious awareness. Non-conscious processing comprises automatic, uncontrolled, and fast processing that occurs without subjective awareness. However, how such non-conscious emotional processing occurs in patients with various psychiatric disorders requires further examination. In this article, we reviewed and discussed previous studies on the non-conscious emotional processing in patients diagnosed with anxiety disorder, schizophrenia, bipolar disorder, and depression, to further understand how non-conscious emotional processing varies across these psychiatric disorders. Although the symptom profile of each disorder does not often overlap with one another, these patients commonly show abnormal emotional processing based on the pathology of their mood and cognitive function. This indicates that the observed abnormalities of emotional processing in certain social interactions may derive from a biased mood or cognition process that precedes consciously controlled and voluntary processes. Since preconscious forms of emotional processing appear to have a major effect on behaviour and cognition in patients with these disorders, further investigation is required to understand these processes and their impact on patient pathology.
Collapse
Affiliation(s)
- Seung A Lee
- Clinical Emotion and Cognition Research Laboratory, Inje University, Goyang, Republic of Korea
| | - Chai-Youn Kim
- Department of Psychology, Korea University, Seoul, Republic of Korea
| | - Seung-Hwan Lee
- Clinical Emotion and Cognition Research Laboratory, Inje University, Goyang, Republic of Korea
- Department of Psychiatry, Inje University Ilsan Paik Hospital, Goyang, Republic of Korea
| |
Collapse
|
40
|
Altinay MI, Hulvershorn LA, Karne H, Beall EB, Anand A. Differential Resting-State Functional Connectivity of Striatal Subregions in Bipolar Depression and Hypomania. Brain Connect 2016. [PMID: 26824737 DOI: 10.1089/brain.2015.0396.] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Bipolar disorder (BP) is characterized by periods of depression (BPD) and (hypo)mania (BPM), but the underlying state-related brain circuit abnormalities are not fully understood. Striatal functional activation and connectivity abnormalities have been noted in BP, but consistent findings have not been reported. To further elucidate striatal abnormalities in different BP states, this study investigated differences in resting-state functional connectivity of six striatal subregions in BPD, BPM, and healthy control (HC) subjects. Ninety medication-free subjects (30 BPD, 30 BPM, and 30 HC), closely matched for age and gender, were scanned using 3T functional magnetic resonance imaging (fMRI) acquired at resting state. Correlations of low-frequency blood oxygen level dependent signal fluctuations for six previously described striatal subregions were used to obtain connectivity maps of each subregion. Using a factorial design, main effects for differences between groups were obtained and post hoc pairwise group comparisons performed. BPD showed increased connectivity of the dorsal caudal putamen with somatosensory areas such as the insula and temporal gyrus. BPM group showed unique increased connectivity between left dorsal caudate and midbrain regions, as well as increased connectivity between ventral striatum inferior and thalamus. In addition, both BPD and BPM exhibited widespread functional connectivity abnormalities between striatal subregions and frontal cortices, limbic regions, and midbrain structures. In summary, BPD exhibited connectivity abnormalities of associative and somatosensory subregions of the putamen, while BPM exhibited connectivity abnormalities of associative and limbic caudate. Most other striatal subregion connectivity abnormalities were common to both groups and may be trait related.
Collapse
Affiliation(s)
- Murat I Altinay
- 1 Center for Behavioral Health , Cleveland Clinic, Cleveland, Ohio
| | - Leslie A Hulvershorn
- 1 Center for Behavioral Health , Cleveland Clinic, Cleveland, Ohio.,2 Department of Psychiatry, Indiana University School of Medicine , Indianapolis, Indiana
| | - Harish Karne
- 1 Center for Behavioral Health , Cleveland Clinic, Cleveland, Ohio.,2 Department of Psychiatry, Indiana University School of Medicine , Indianapolis, Indiana
| | - Erik B Beall
- 3 Imaging Institute, Cleveland Clinic , Cleveland, Ohio
| | - Amit Anand
- 1 Center for Behavioral Health , Cleveland Clinic, Cleveland, Ohio.,2 Department of Psychiatry, Indiana University School of Medicine , Indianapolis, Indiana
| |
Collapse
|
41
|
Altinay MI, Hulvershorn LA, Karne H, Beall EB, Anand A. Differential Resting-State Functional Connectivity of Striatal Subregions in Bipolar Depression and Hypomania. Brain Connect 2016; 6:255-65. [PMID: 26824737 DOI: 10.1089/brain.2015.0396] [Citation(s) in RCA: 44] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022] Open
Abstract
Bipolar disorder (BP) is characterized by periods of depression (BPD) and (hypo)mania (BPM), but the underlying state-related brain circuit abnormalities are not fully understood. Striatal functional activation and connectivity abnormalities have been noted in BP, but consistent findings have not been reported. To further elucidate striatal abnormalities in different BP states, this study investigated differences in resting-state functional connectivity of six striatal subregions in BPD, BPM, and healthy control (HC) subjects. Ninety medication-free subjects (30 BPD, 30 BPM, and 30 HC), closely matched for age and gender, were scanned using 3T functional magnetic resonance imaging (fMRI) acquired at resting state. Correlations of low-frequency blood oxygen level dependent signal fluctuations for six previously described striatal subregions were used to obtain connectivity maps of each subregion. Using a factorial design, main effects for differences between groups were obtained and post hoc pairwise group comparisons performed. BPD showed increased connectivity of the dorsal caudal putamen with somatosensory areas such as the insula and temporal gyrus. BPM group showed unique increased connectivity between left dorsal caudate and midbrain regions, as well as increased connectivity between ventral striatum inferior and thalamus. In addition, both BPD and BPM exhibited widespread functional connectivity abnormalities between striatal subregions and frontal cortices, limbic regions, and midbrain structures. In summary, BPD exhibited connectivity abnormalities of associative and somatosensory subregions of the putamen, while BPM exhibited connectivity abnormalities of associative and limbic caudate. Most other striatal subregion connectivity abnormalities were common to both groups and may be trait related.
Collapse
Affiliation(s)
- Murat I Altinay
- 1 Center for Behavioral Health , Cleveland Clinic, Cleveland, Ohio
| | - Leslie A Hulvershorn
- 1 Center for Behavioral Health , Cleveland Clinic, Cleveland, Ohio.,2 Department of Psychiatry, Indiana University School of Medicine , Indianapolis, Indiana
| | - Harish Karne
- 1 Center for Behavioral Health , Cleveland Clinic, Cleveland, Ohio.,2 Department of Psychiatry, Indiana University School of Medicine , Indianapolis, Indiana
| | - Erik B Beall
- 3 Imaging Institute, Cleveland Clinic , Cleveland, Ohio
| | - Amit Anand
- 1 Center for Behavioral Health , Cleveland Clinic, Cleveland, Ohio.,2 Department of Psychiatry, Indiana University School of Medicine , Indianapolis, Indiana
| |
Collapse
|
42
|
Trying to trust: Brain activity during interpersonal social attitude change. COGNITIVE AFFECTIVE & BEHAVIORAL NEUROSCIENCE 2015; 16:325-38. [DOI: 10.3758/s13415-015-0393-0] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
|
43
|
Vanyukov PM, Szanto K, Siegle GJ, Hallquist MN, Reynolds CF, Aizenstein HJ, Dombrovski AY. Impulsive traits and unplanned suicide attempts predict exaggerated prefrontal response to angry faces in the elderly. Am J Geriatr Psychiatry 2015; 23:829-39. [PMID: 25529800 PMCID: PMC4528975 DOI: 10.1016/j.jagp.2014.10.004] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/16/2014] [Revised: 10/14/2014] [Accepted: 10/16/2014] [Indexed: 01/27/2023]
Abstract
OBJECTIVE Abnormal responses to social stimuli are seen in people vulnerable to suicidal behavior, indicating possible disruptions in the neural circuitry mediating the interpretation of socioemotional cues. These disruptions have not been empirically related to psychological and cognitive pathways to suicide. In the present study of older suicide attempters, we examined neural responses to emotional faces and their relationship to impulsivity, one of the components of the suicidal diathesis. METHODS Using functional magnetic resonance imaging, we recorded neurohemodynamic responses to angry faces in a carefully characterized sample of 18 depressed elderly with history of suicide attempts, 13 depressed nonsuicidal patients, and 18 healthy individuals, all aged 60+. Impulsivity was assessed with the Social Problem Solving Inventory Impulsivity/Carelessness Style subscale and Barratt Impulsiveness Scale. The Suicide Intent Scale planning subscale was used to describe the degree of planning associated with the most lethal attempt. RESULTS Depression and history of attempted suicide were not associated with neural responses to angry faces, failing to replicate earlier studies. Higher impulsivity, however, predicted exaggerated responses to angry faces in fronto-opercular and dorsomedial prefrontal cortex (pcorr <0.05). Poorly planned suicide attempts also predicted increased fronto-opercular responses. Results were robust to effects of medication exposure, comorbid anxiety and addiction, severity of depression, burden of physical illness, and possible brain injury from suicide attempts. CONCLUSION Impulsive traits and history of unplanned suicide attempts partly explain the heterogeneity in neural responses to angry faces in depressed elderly. Displays of social emotion command excessive cortical processing in impulsive suicide attempters.
Collapse
|
44
|
Abstract
Here we consider interpersonal experience in schizophrenia, melancholia, and mania. Our goal is to improve understanding of similarities and differences in how other people can be experienced in these disorders, through a review of first-person accounts and case examples and of contemporary and classic literature on the phenomenology of these disorders. We adopt a tripartite/dialectical structure: first we explore main differences as traditionally described; next we consider how the disorders may resemble each other; finally we discuss more subtle but perhaps foundational ways in which the phenomenology of these disorders may nonetheless be differentiated. These involve disruptions of common sense and conventionality, abnormalities of empathy, distinct forms of paranoia and the sense of personal centrality, and altered perceptions of intentionality, deadness, and artificiality. We end by considering some neurocognitive research relevant to these abnormal forms of subjectivity, including work on theory of mind, experience of human movement, and perception of faces.
Collapse
Affiliation(s)
- Louis Sass
- Department of Clinical Psychology, Graduate School of Applied and Professional Psychology, Rutgers University
| | - Elizabeth Pienkos
- Department of Clinical Psychology, Graduate School of Applied and Professional Psychology, Rutgers University
| |
Collapse
|
45
|
Kopf J, Volkert J, Heidler S, Dresler T, Kittel-Schneider S, Gessner A, Herrmann MJ, Ehlis AC, Reif A. Electrophysiological evidence of a typical cognitive distortion in bipolar disorder. Cortex 2015; 66:103-14. [PMID: 25824981 DOI: 10.1016/j.cortex.2015.02.009] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2014] [Revised: 09/11/2014] [Accepted: 02/16/2015] [Indexed: 11/30/2022]
Abstract
Patients suffering from bipolar disorder often report negative thoughts and a bias towards negative environmental stimuli. Previous studies show that this mood-congruent attentional bias could mediated by dysfunctions in anterior limbic regions. The Error-Related Negativity (ERN), which originates in the anterior cingulate cortex (ACC), has been used to research this negativity bias in depressed patients, and could also help to better understand the underlying mechanisms causing the negativity bias in bipolar patients. In this study we investigated error processing in patients with bipolar disorder. Acute depressive bipolar patients (n = 20) and age-matched healthy controls (n = 20) underwent a modified Eriksen Flanker Task to assess test performance and two error-related event-related potentials (ERPs), i.e., the ERN and Error Positivity (Pe) were measured by EEG. Half of the patients were measured again in a euthymic state. We found similar ERN amplitudes in bipolar patients as compared to healthy controls, but significantly reduced Pe amplitudes. Moreover, acutely depressed bipolar patients displayed an ERN and Pe even if they responded accurately or too slow, which indicates that correct responses are processed in a way similar to wrong responses. This can be interpreted as a psychophysiological correlate of typical cognitive distortions in depression, i.e., an erroneous perception of personal failures. This biased error perception partially remained when patients were in a euthymic state. Together, our data indicate that aberrant error processing of bipolar patients may be regarded a trait marker possibly reflecting a risk factor for depressive relapses in bipolar disorder.
Collapse
Affiliation(s)
- Juliane Kopf
- Department of Psychiatry, Psychosomatics and Psychotherapy, University of Frankfurt, Frankfurt, Germany.
| | - Julia Volkert
- Department of Psychiatry, Psychosomatics and Psychotherapy, University of Wuerzburg, Wuerzburg, Germany
| | - Sarah Heidler
- Department of Psychiatry, Psychosomatics and Psychotherapy, University of Wuerzburg, Wuerzburg, Germany
| | - Thomas Dresler
- Department of Psychiatry and Psychotherapy, University of Tuebingen, Tuebingen, Germany; LEAD Graduate School, University of Tuebingen, Tuebingen, Germany
| | - Sarah Kittel-Schneider
- Department of Psychiatry, Psychosomatics and Psychotherapy, University of Frankfurt, Frankfurt, Germany
| | - Alexandra Gessner
- Department of Psychiatry, Psychosomatics and Psychotherapy, University of Wuerzburg, Wuerzburg, Germany
| | - Martin J Herrmann
- Department of Psychiatry, Psychosomatics and Psychotherapy, University of Wuerzburg, Wuerzburg, Germany
| | - Ann-Christine Ehlis
- Department of Psychiatry and Psychotherapy, University of Tuebingen, Tuebingen, Germany
| | - Andreas Reif
- Department of Psychiatry, Psychosomatics and Psychotherapy, University of Frankfurt, Frankfurt, Germany
| |
Collapse
|
46
|
Nishimura Y, Takahashi K, Ohtani T, Ikeda-Sugita R, Kasai K, Okazaki Y. Dorsolateral prefrontal hemodynamic responses during a verbal fluency task in hypomanic bipolar disorder. Bipolar Disord 2015; 17:172-83. [PMID: 25187262 DOI: 10.1111/bdi.12252] [Citation(s) in RCA: 46] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/12/2013] [Accepted: 04/15/2014] [Indexed: 01/09/2023]
Abstract
OBJECTIVES Neuroimaging studies have suggested prefrontal dysfunction in response to cognitive activation in bipolar disorder (BD). However, its characteristics in manic states have not been well understood. Thus, we compared prefrontal hemodynamic responses during a cognitive task between hypomanic and depressive states in BD. We then longitudinally compared hypomanic and subsequent euthymic states. METHODS The prefrontal function of 27 patients with BD (11 hypomanic and 16 depressed) and 12 age- and gender-matched healthy controls (HCs) was evaluated using near-infrared spectroscopy (NIRS) during a verbal fluency task (VFT). Hypomanic symptoms were assessed using the Young Mania Rating Scale. Among the 11 hypomanic patients, eight participated in the second NIRS measurement after their hypomanic symptoms resolved. RESULTS VFT performance did not differ among hypomanic, depressed, and HC groups. Both BD groups exhibited significantly lower activation during the VFT than HCs in the broader bilateral prefrontal cortex. Hemodynamic changes in the left dorsolateral prefrontal cortex (DLPFC) in the hypomanic patients with BD were significantly larger than those in the depressed patients. In addition, hypomanic symptom severity was positively correlated with activation in the left DLPFC and frontopolar cortex in patients with BD. Follow-up measurement of the hypomanic patients revealed that prefrontal activation was decreased after hypomanic symptoms resolved. CONCLUSIONS Combining cross-sectional and longitudinal assessments, the present results suggest that prefrontal hemodynamic responses associated with cognitive activation differ between hypomanic and depressive states in BD. NIRS measurement could be a useful tool for objectively evaluating state-dependent characteristics of prefrontal hemodynamics in BD.
Collapse
Affiliation(s)
- Yukika Nishimura
- Department of Clinical Laboratory, Tokyo Metropolitan Matsuzawa Hospital, Setagaya-ku, Tokyo; Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Bunkyo-ku, Tokyo
| | | | | | | | | | | |
Collapse
|
47
|
Brotman MA, Deveney CM, Thomas LA, Hinton KE, Yi JY, Pine DS, Leibenluft E. Parametric modulation of neural activity during face emotion processing in unaffected youth at familial risk for bipolar disorder. Bipolar Disord 2014; 16:756-63. [PMID: 24617738 PMCID: PMC4162856 DOI: 10.1111/bdi.12193] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/04/2013] [Accepted: 01/10/2014] [Indexed: 12/30/2022]
Abstract
OBJECTIVES Both patients with pediatric bipolar disorder (BD) and unaffected youth at familial risk (AR) for the illness show impairments in face emotion labeling. Few studies, however, have examined brain regions engaged in AR youth when processing emotional faces. Moreover, studies have yet to explore neural responsiveness to subtle changes in face emotion in AR youth. METHODS Sixty-four unrelated youth, including 20 patients with BD, 15 unaffected AR youth, and 29 healthy comparisons (HC), completed functional magnetic resonance imaging. Neutral faces were morphed with angry or happy faces in 25% intervals. In specific phases of the task, youth alternatively made explicit (hostility) or implicit (nose width) ratings of the faces. The slope of blood oxygenated level-dependent activity was calculated across neutral to angry and neutral to happy face stimuli. RESULTS Behaviorally, both subjects with BD (p ≤ 0.001) and AR youth (p ≤ 0.05) rated faces as less hostile relative to HC. Consistent with this, in response to increasing anger on the face, patients with BD and AR youth showed decreased modulation in the amygdala and inferior frontal gyrus (IFG; BA 46) compared to HC (all p ≤ 0.05). Amygdala dysfunction was present across both implicit and explicit rating conditions, but IFG modulation deficits were specific to the explicit condition. With increasing happiness, AR youth showed aberrant modulation in the IFG, which was also sensitive to task demands (all p ≤ 0.05). CONCLUSIONS Decreased amygdala and IFG modulation in patients with BD and AR youth may be pathophysiological risk markers for BD, and may underlie the social cognition and face emotion labeling deficits observed in BD and AR youth.
Collapse
Affiliation(s)
- Melissa A Brotman
- Emotion and Development Branch, National Institute of Mental Health, National Institutes of Health, Department of Health and Human Services, Bethesda, MD
| | - Christen M Deveney
- Emotion and Development Branch, National Institute of Mental Health, National Institutes of Health, Department of Health and Human Services, Bethesda, MD,Department of Psychology, Wellesley College, Wellesley, MA
| | - Laura A Thomas
- War Related Illness and Injury Study Center, Veterans Affairs Medical Center, Washington, D.C
| | - Kendra E Hinton
- Emotion and Development Branch, National Institute of Mental Health, National Institutes of Health, Department of Health and Human Services, Bethesda, MD,Department of Psychology, Vanderbilt University, Nashville, TN, USA
| | - Jennifer Y Yi
- Emotion and Development Branch, National Institute of Mental Health, National Institutes of Health, Department of Health and Human Services, Bethesda, MD
| | - Daniel S Pine
- Emotion and Development Branch, National Institute of Mental Health, National Institutes of Health, Department of Health and Human Services, Bethesda, MD
| | - Ellen Leibenluft
- Emotion and Development Branch, National Institute of Mental Health, National Institutes of Health, Department of Health and Human Services, Bethesda, MD
| |
Collapse
|
48
|
Cerullo MA, Eliassen JC, Smith CT, Fleck DE, Nelson EB, Strawn JR, Lamy M, DelBello MP, Adler CM, Strakowski SM. Bipolar I disorder and major depressive disorder show similar brain activation during depression. Bipolar Disord 2014; 16:703-12. [PMID: 24990479 PMCID: PMC4213254 DOI: 10.1111/bdi.12225] [Citation(s) in RCA: 54] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/18/2013] [Accepted: 02/27/2014] [Indexed: 01/03/2023]
Abstract
OBJECTIVES Despite different treatments and courses of illness, depressive symptoms appear similar in major depressive disorder (MDD) and bipolar I disorder (BP-I). This similarity of depressive symptoms suggests significant overlap in brain pathways underlying neurovegetative, mood, and cognitive symptoms of depression. These shared brain regions might be expected to exhibit similar activation in individuals with MDD and BP-I during functional magnetic resonance imaging (fMRI). METHODS fMRI was used to compare regional brain activation in participants with BP-I (n = 25) and MDD (n = 25) during a depressive episode as well as 25 healthy comparison (HC) participants. During the scans, participants performed an attentional task that incorporated emotional pictures. RESULTS During the viewing of emotional images, subjects with BP-I showed decreased activation in the middle occipital gyrus, lingual gyrus, and middle temporal gyrus compared to both subjects with MDD and HC participants. During attentional processing, participants with MDD had increased activation in the parahippocampus, parietal lobe, and postcentral gyrus. However, among these regions, only the postcentral gyrus also showed differences between MDD and HC participants. CONCLUSIONS No differences in cortico-limbic regions were found between participants with BP-I and MDD during depression. Instead, the major differences occurred in primary and secondary visual processing regions, with decreased activation in these regions in BP-I compared to major depression. These differences were driven by abnormal decreases in activation seen in the participants with BP-I. Posterior activation changes are a common finding in studies across mood states in participants with BP-I.
Collapse
Affiliation(s)
- Michael A Cerullo
- Department of Psychiatry, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - James C Eliassen
- Center for Imaging Research, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Christopher T Smith
- Department of Psychiatry, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - David E Fleck
- Department of Psychiatry, University of Cincinnati College of Medicine, Cincinnati, OH, USA,Center for Imaging Research, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Erik B Nelson
- Department of Psychiatry, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Jeffrey R Strawn
- Department of Psychiatry, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Martine Lamy
- Department of Psychiatry, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Melissa P DelBello
- Department of Psychiatry, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Caleb M Adler
- Department of Psychiatry, University of Cincinnati College of Medicine, Cincinnati, OH, USA,Center for Imaging Research, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Stephen M Strakowski
- Department of Psychiatry, University of Cincinnati College of Medicine, Cincinnati, OH, USA,Center for Imaging Research, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| |
Collapse
|
49
|
Rosenfeld ES, Pearlson GD, Sweeney JA, Tamminga CA, Keshavan MS, Nonterah C, Stevens MC. Prolonged hemodynamic response during incidental facial emotion processing in inter-episode bipolar I disorder. Brain Imaging Behav 2014; 8:73-86. [PMID: 23975275 DOI: 10.1007/s11682-013-9246-z] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
Abstract
This fMRI study examined whether hemodynamic responses to affectively-salient stimuli were abnormally prolonged in remitted bipolar disorder, possibly representing a novel illness biomarker. A group of 18 DSM-IV bipolar I-diagnosed adults in remission and a demographically-matched control group performed an event-related fMRI gender-discrimination task in which face stimuli had task-irrelevant neutral, happy or angry expressions designed to elicit incidental emotional processing. Participants' brain activation was modeled using a "fully informed" SPM5 basis set. Mixed-model ANOVA tested for diagnostic group differences in BOLD response amplitude and shape within brain regions-of-interest selected from ALE meta-analysis of previous comparable fMRI studies. Bipolar-diagnosed patients had a generally longer duration and/or later-peaking hemodynamic response in amygdala and numerous prefrontal cortex brain regions. Data are consistent with existing models of bipolar limbic hyperactivity, but the prolonged frontolimbic response more precisely details abnormalities recognized in previous studies. Prolonged hemodynamic responses were unrelated to stimulus type, task performance, or degree of residual mood symptoms, suggesting an important novel trait vulnerability brain dysfunction in bipolar disorder. Bipolar patients also failed to engage pregenual cingulate and left orbitofrontal cortex-regions important to models of automatic emotion regulation-while engaging a delayed dorsolateral prefrontal cortex response not seen in controls. These results raise questions about whether there are meaningful relationships between bipolar dysfunction of specific ventromedial prefrontal cortex regions believed to automatically regulate emotional reactions and the prolonged responses in more lateral aspects of prefrontal cortex.
Collapse
Affiliation(s)
- Ethan S Rosenfeld
- Olin Neuropsychiatry Research Center, The Institute of Living/Hartford Hospital, 200 Retreat Ave, Whitehall Building, Hartford, CT, 06106, USA
| | | | | | | | | | | | | |
Collapse
|
50
|
Yu F, Ye R, Sun S, Carretié L, Zhang L, Dong Y, Zhu C, Luo Y, Wang K. Dissociation of neural substrates of response inhibition to negative information between implicit and explicit facial Go/Nogo tasks: evidence from an electrophysiological study. PLoS One 2014; 9:e109839. [PMID: 25330212 PMCID: PMC4199673 DOI: 10.1371/journal.pone.0109839] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2014] [Accepted: 09/03/2014] [Indexed: 11/24/2022] Open
Abstract
BACKGROUND Although ample evidence suggests that emotion and response inhibition are interrelated at the behavioral and neural levels, neural substrates of response inhibition to negative facial information remain unclear. Thus we used event-related potential (ERP) methods to explore the effects of explicit and implicit facial expression processing in response inhibition. METHODS We used implicit (gender categorization) and explicit emotional Go/Nogo tasks (emotion categorization) in which neutral and sad faces were presented. Electrophysiological markers at the scalp and the voxel level were analyzed during the two tasks. RESULTS We detected a task, emotion and trial type interaction effect in the Nogo-P3 stage. Larger Nogo-P3 amplitudes during sad conditions versus neutral conditions were detected with explicit tasks. However, the amplitude differences between the two conditions were not significant for implicit tasks. Source analyses on P3 component revealed that right inferior frontal junction (rIFJ) was involved during this stage. The current source density (CSD) of rIFJ was higher with sad conditions compared to neutral conditions for explicit tasks, rather than for implicit tasks. CONCLUSIONS The findings indicated that response inhibition was modulated by sad facial information at the action inhibition stage when facial expressions were processed explicitly rather than implicitly. The rIFJ may be a key brain region in emotion regulation.
Collapse
Affiliation(s)
- Fengqiong Yu
- Laboratory of Cognitive Neuropsychology, Department of Medical Psychology, Anhui Medical University, Hefei, China
| | - Rong Ye
- Laboratory of Cognitive Neuropsychology, Department of Medical Psychology, Anhui Medical University, Hefei, China
| | - Shiyue Sun
- School of Humanities and Social Sciences, Beijing Forestry University, Beijing, China
| | - Luis Carretié
- Faculty of Psychology, Universidad Autónoma de Madrid, Madrid, Spain
| | - Lei Zhang
- Laboratory of Cognitive Neuropsychology, Department of Medical Psychology, Anhui Medical University, Hefei, China
| | - Yi Dong
- Anhui Mental Health Center, Hefei, China
| | - Chunyan Zhu
- Laboratory of Cognitive Neuropsychology, Department of Medical Psychology, Anhui Medical University, Hefei, China
| | - Yuejia Luo
- Institute of Social and affective Neuroscience, Shenzhen University, Shenzhen, China
| | - Kai Wang
- Laboratory of Cognitive Neuropsychology, Department of Medical Psychology, Anhui Medical University, Hefei, China
- Department of Neurology, the First Affiliated Hospital of Anhui Medical University, Hefei, China
| |
Collapse
|