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Klahn AL, Thompson WH, Momoh I, Abé C, Liberg B, Landén M. Provincial and connector qualities of somatosensory brain network hubs in bipolar disorder. Cereb Cortex 2024; 34:bhae366. [PMID: 39270674 PMCID: PMC11398877 DOI: 10.1093/cercor/bhae366] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2024] [Revised: 08/15/2024] [Accepted: 08/24/2024] [Indexed: 09/15/2024] Open
Abstract
Brain network hubs are highly connected brain regions serving as important relay stations for information integration. Recent studies have linked mental disorders to impaired hub function. Provincial hubs mainly integrate information within their own brain network, while connector hubs share information between different brain networks. This study used a novel time-varying analysis to investigate whether hubs aberrantly follow the trajectory of other brain networks than their own. The aim was to characterize brain hub functioning in clinically remitted bipolar patients. We analyzed resting-state functional magnetic resonance imaging data from 96 euthymic individuals with bipolar disorder and 61 healthy control individuals. We characterized different hub qualities within the somatomotor network. We found that the somatomotor network comprised mainly provincial hubs in healthy controls. Conversely, in bipolar disorder patients, hubs in the primary somatosensory cortex displayed weaker provincial and stronger connector hub function. Furthermore, hubs in bipolar disorder showed weaker allegiances with their own brain network and followed the trajectories of the limbic, salience, dorsal attention, and frontoparietal network. We suggest that these hub aberrancies contribute to previously shown functional connectivity alterations in bipolar disorder and may thus constitute the neural substrate to persistently impaired sensory integration despite clinical remission.
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Affiliation(s)
- Anna Luisa Klahn
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, University of Gothenburg, Blå Stråket 15, 413 45 Gothenburg, Sweden
- Department of Chemistry and Molecular Biology, Faculty of Science, University of Gothenburg, Medicinaregatan 7B, 413 90 Gothenburg, Sweden
| | - William Hedley Thompson
- Department of Applied Information Technology, Forskningsgången 6, 417 56 Gothenburg University, Gothenburg, Sweden
- Centre for Cognitive and Computation Neuropsychiatry, Karolinska Institutet, Retzius väg 8, 171 65 Stockholm, Sweden
- Department of Clinical Neuroscience, Karolinska Institutet, Retzius väg 8, 171 65 Stockholm, Sweden
| | - Imiele Momoh
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, University of Gothenburg, Blå Stråket 15, 413 45 Gothenburg, Sweden
| | - Christoph Abé
- Centre for Cognitive and Computation Neuropsychiatry, Karolinska Institutet, Retzius väg 8, 171 65 Stockholm, Sweden
- Department of Clinical Neuroscience, Karolinska Institutet, Retzius väg 8, 171 65 Stockholm, Sweden
| | - Benny Liberg
- Department of Clinical Neuroscience, Karolinska Institutet, Retzius väg 8, 171 65 Stockholm, Sweden
| | - Mikael Landén
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, University of Gothenburg, Blå Stråket 15, 413 45 Gothenburg, Sweden
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Nobels väg 12A, 171 65 Stockholm, Sweden
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Zhao L, Bo Q, Zhang Z, Li F, Zhou Y, Wang C. Disrupted default mode network connectivity in bipolar disorder: a resting-state fMRI study. BMC Psychiatry 2024; 24:428. [PMID: 38849793 PMCID: PMC11157927 DOI: 10.1186/s12888-024-05869-y] [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: 12/02/2023] [Accepted: 05/27/2024] [Indexed: 06/09/2024] Open
Abstract
BACKGROUND Theoretical and empirical evidence indicates the critical role of the default mode network (DMN) in the pathophysiology of the bipolar disorder (BD). This study aims to identify the specific brain regions of the DMN that is impaired in patients with BD. METHODS A total of 56 patients with BD and 71 healthy controls (HC) underwent resting-state functional magnetic resonance imaging. Three commonly used functional indices, i.e., fractional amplitude of low-frequency fluctuation (fALFF), regional homogeneity (ReHo), and degree centrality (DC), were utilized to identify the brain region showing abnormal spontaneous brain activity in patients with BD. Then, this region served as the seed region for resting-state functional connectivity (rsFC) analysis. RESULTS Compared to the HC group, the BD group showed reduced fALFF, ReHo, and DC values in the left precuneus. Moreover, patients exhibited decreased rsFCs within the left precuneus and between the left precuneus and the medial prefrontal cortex. Additionally, there was diminished negative connectivity between the left precuneus and the left putamen, extending to the left insula (putamen/insula). The abnormalities in DMN functional connectivity were confirmed through various analysis strategies. CONCLUSIONS Our findings provide convergent evidence for the abnormalities in the DMN, particularly located in the left precuneus. Decreased functional connectivity within the DMN and the reduced anticorrelation between the DMN and the salience network are found in patients with BD. These findings suggest that the DMN is a key aspect for understanding the neural basis of BD, and the altered functional patterns of DMN may be a potential candidate biomarker for diagnosis of BD.
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Affiliation(s)
- Lei Zhao
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Institute for Brain Disorders Center of Schizophrenia, Beijing Anding Hospital, Capital Medical University, No.5 Ankang Lane, Dewai Avenue, Xicheng District, Beijing, 100088, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, 100069, China
| | - Qijing Bo
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Institute for Brain Disorders Center of Schizophrenia, Beijing Anding Hospital, Capital Medical University, No.5 Ankang Lane, Dewai Avenue, Xicheng District, Beijing, 100088, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, 100069, China
| | - Zhifang Zhang
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Institute for Brain Disorders Center of Schizophrenia, Beijing Anding Hospital, Capital Medical University, No.5 Ankang Lane, Dewai Avenue, Xicheng District, Beijing, 100088, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, 100069, China
| | - Feng Li
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Institute for Brain Disorders Center of Schizophrenia, Beijing Anding Hospital, Capital Medical University, No.5 Ankang Lane, Dewai Avenue, Xicheng District, Beijing, 100088, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, 100069, China
| | - Yuan Zhou
- CAS Key Laboratory of Behavioral Science, Institute of Psychology & Magnetic Resonance Imaging Research Center, Institute of Psychology, Chinese Academy of Sciences, Beijing, 100101, China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Chuanyue Wang
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Institute for Brain Disorders Center of Schizophrenia, Beijing Anding Hospital, Capital Medical University, No.5 Ankang Lane, Dewai Avenue, Xicheng District, Beijing, 100088, China.
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, 100069, China.
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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.
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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
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Inderyas M, Thapaliya K, Marshall-Gradisnik S, Barth M, Barnden L. Subcortical and default mode network connectivity is impaired in myalgic encephalomyelitis/chronic fatigue syndrome. Front Neurosci 2024; 17:1318094. [PMID: 38347875 PMCID: PMC10859529 DOI: 10.3389/fnins.2023.1318094] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2023] [Accepted: 12/27/2023] [Indexed: 02/15/2024] Open
Abstract
Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) is a complex chronic condition with core symptoms of fatigue and cognitive dysfunction, suggesting a key role for the central nervous system in the pathophysiology of this disease. Several studies have reported altered functional connectivity (FC) related to motor and cognitive deficits in ME/CFS patients. In this study, we compared functional connectivity differences between 31 ME/CFS and 15 healthy controls (HCs) using 7 Tesla MRI. Functional scans were acquired during a cognitive Stroop color-word task, and blood oxygen level-dependent (BOLD) time series were computed for 27 regions of interest (ROIs) in the cerebellum, brainstem, and salience and default mode networks. A region-based comparison detected reduced FC between the pontine nucleus and cerebellum vermis IX (p = 0.027) for ME/CFS patients compared to HCs. Our ROI-to-voxel analysis found significant impairment of FC within the ponto-cerebellar regions in ME/CFS. Correlation analyses of connectivity with clinical scores in ME/CFS patients detected associations between FC and 'duration of illness' and 'memory scores' in salience network hubs and cerebellum vermis and between FC and 'respiratory rate' within the medulla and the default mode network FC. This novel investigation is the first to report the extensive involvement of aberrant ponto-cerebellar connections consistent with ME/CFS symptomatology. This highlights the involvement of the brainstem and the cerebellum in the pathomechanism of ME/CFS.
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Affiliation(s)
- Maira Inderyas
- National Centre for Neuroimmunology and Emerging Diseases, Menzies Health Institute Queensland, Griffith University, Southport, QLD, Australia
| | - Kiran Thapaliya
- National Centre for Neuroimmunology and Emerging Diseases, Menzies Health Institute Queensland, Griffith University, Southport, QLD, Australia
| | - Sonya Marshall-Gradisnik
- National Centre for Neuroimmunology and Emerging Diseases, Menzies Health Institute Queensland, Griffith University, Southport, QLD, Australia
| | - Markus Barth
- National Centre for Neuroimmunology and Emerging Diseases, Menzies Health Institute Queensland, Griffith University, Southport, QLD, Australia
- School of Information Technology and Electrical Engineering, The University of Queensland, Brisbane, QLD, Australia
| | - Leighton Barnden
- National Centre for Neuroimmunology and Emerging Diseases, Menzies Health Institute Queensland, Griffith University, Southport, QLD, Australia
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Muriel NS, López Resa P, Moraleda Sepúlveda E. Linguistic characteristics in bipolar disorder versus borderline personality disorder. Sci Rep 2023; 13:21715. [PMID: 38065986 PMCID: PMC10709396 DOI: 10.1038/s41598-023-46038-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2023] [Accepted: 10/26/2023] [Indexed: 12/18/2023] Open
Abstract
Scientific evidence has documented throughout the research carried out in recent years, the neuropsychological, behavioral and adaptive difficulties presented by people with Bipolar Disorder and Borderline Personality Disorder at different stages of their development. However, little importance has been given to other factors such as communication, especially in the adult population. The objective of this research was to know the language characteristics presented by people from both groups and the differences in linguistic development. The sample consisted of 60 participants between the ages of 17 and 42:31 of them with a diagnosis of Borderline Personality Disorder and the remaining 29 with a diagnosis of Bipolar Disorder. The standardized evaluation instruments were: the Social Skills Scale and the Pragmatic Competence Questionnaire completed by three different informants (families, professionals and the own person). The results obtained show that both populations manifest linguistic difficulties in adulthood and that there are differences depending on the perception of the agent involved in the language assessment. These results are highly relevant since they provide up-to-date information about language level, support the need for language intervention in adulthood, and reflect a different communicative profile in Bipolar Disorder and Borderline Personality Disorder.
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Affiliation(s)
- Noelia Santos Muriel
- Department of Psychology, Faculty of Health Sciences, University of Castilla-La-Mancha, Avda Real Fábrica de la Seda s/n, 45600, Talavera de la Reina, Spain
| | - Patricia López Resa
- Department of Psychology, Faculty of Health Sciences, University of Castilla-La-Mancha, Avda Real Fábrica de la Seda s/n, 45600, Talavera de la Reina, Spain
| | - Esther Moraleda Sepúlveda
- Department of Psychology, Faculty of Pychology, University Complutense, Campus de Somosaguas, 28223, Pozuelo de Alarcón, Madrid, Spain.
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Romeo Z, Marino M, Mantini D, Angrilli A, Spironelli C. Language Network Connectivity of Euthymic Bipolar Patients Is Altered at Rest and during a Verbal Fluency Task. Biomedicines 2023; 11:1647. [PMID: 37371743 DOI: 10.3390/biomedicines11061647] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2023] [Revised: 05/25/2023] [Accepted: 05/31/2023] [Indexed: 06/29/2023] Open
Abstract
Abnormalities of the Language Network (LN) have been found in different psychiatric conditions (e.g., schizophrenia and bipolar disorder), supporting the hypothesis that language plays a central role in a high-level integration/connectivity of second-level cognitive processes and the underlying cortical regions. This view implies a continuum of shared neural alterations along the psychotic disorder spectrum. In particular, bipolar disorder (BD) patients were recently documented to have an altered LN asymmetry during resting state. The extent to which the LN architecture is altered and stable also during a language task has yet to be investigated. To address this question, we analyzed fMRI data recorded during an open-eyes resting state session and a silent verbal fluency task in 16 euthymic BD patients and 16 matched healthy controls (HC). Functional connectivity in the LN of both groups was computed using spatial independent component analysis, and group comparisons were carried out to assess the network organization during both rest and active linguistic task conditions. The LN of BD patients involved left and right brain areas during both resting state and linguistic task. Compared to the left-lateralized network found in HC, the BD group was characterized by two anterior clusters (in left frontal and right temporo-insular regions) and the disengagement of the posterior language areas, especially during the verbal fluency task. Our findings support the hypothesis that reduced language lateralization may represent a biological marker across different psychotic disorders and that the altered language network connectivity found at rest in bipolar patients is stable and pervasive as it is also impaired during a verbal fluency task.
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Affiliation(s)
- Zaira Romeo
- Department of General Psychology, University of Padova, 35131 Padova, Italy
| | - Marco Marino
- Department of General Psychology, University of Padova, 35131 Padova, Italy
- Movement Control and Neuroplasticity Research Group, KU Leuven, 3001 Leuven, Belgium
| | - Dante Mantini
- Movement Control and Neuroplasticity Research Group, KU Leuven, 3001 Leuven, Belgium
| | - Alessandro Angrilli
- Department of General Psychology, University of Padova, 35131 Padova, Italy
- Padova Neuroscience Center, University of Padova, 35131 Padova, Italy
| | - Chiara Spironelli
- Department of General Psychology, University of Padova, 35131 Padova, Italy
- Padova Neuroscience Center, University of Padova, 35131 Padova, Italy
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Martyn FM, McPhilemy G, Nabulsi L, Quirke J, Hallahan B, McDonald C, Cannon DM. Alcohol use is associated with affective and interoceptive network alterations in bipolar disorder. Brain Behav 2023; 13:e2832. [PMID: 36448926 PMCID: PMC9847622 DOI: 10.1002/brb3.2832] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/12/2022] [Revised: 11/05/2022] [Accepted: 11/05/2022] [Indexed: 12/02/2022] Open
Abstract
INTRODUCTION Alcohol use in bipolar disorder (BD) is associated with mood lability and negative illness trajectory, while also impacting functional networks related to emotion, cognition, and introspection. The adverse impact of alcohol use in BD may be explained by its additive effects on these networks, thereby contributing to a poorer clinical outcome. METHODS Forty BD-I (DSM-IV-TR) and 46 psychiatrically healthy controls underwent T1 and resting state functional MRI scanning and the Alcohol Use Disorders Identification Test-Consumption (AUDIT-C) to assess alcohol use. Functional images were decomposed using spatial independent component analysis into 14 resting state networks (RSN), which were examined for effect of alcohol use and diagnosis-by-alcohol use accounting for age, sex, and diagnosis. RESULTS Despite the groups consuming similar amounts of alcohol (BD: mean score ± SD 3.63 ± 3; HC 4.72 ± 3, U = 713, p = .07), for BD participants, greater alcohol use was associated with increased connectivity of the paracingulate gyrus within a default mode network (DMN) and reduced connectivity within an executive control network (ECN) relative to controls. Independently, greater alcohol use was associated with increased connectivity within an ECN and reduced connectivity within a DMN. A diagnosis of BD was associated with increased connectivity of a DMN and reduced connectivity of an ECN. CONCLUSION Affective symptomatology in BD is suggested to arise from the aberrant functionality of networks subserving emotive, cognitive, and introspective processes. Taken together, our results suggest that during euthymic periods, alcohol can contribute to the weakening of emotional regulation and response, potentially explaining the increased lability of mood and vulnerability to relapse within the disorder.
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Affiliation(s)
- Fiona M. Martyn
- Centre for Neuroimaging & Cognitive Genomics (NICOG), Clinical Neuroimaging Lab, NCBES Galway Neuroscience Centre, College of Medicine, Nursing, and Health SciencesNational University of Ireland GalwayGalwayGalwayH91 TK33Ireland
- School of PsychologyNational University of IrelandGalwayIreland
| | - Genevieve McPhilemy
- Centre for Neuroimaging & Cognitive Genomics (NICOG), Clinical Neuroimaging Lab, NCBES Galway Neuroscience Centre, College of Medicine, Nursing, and Health SciencesNational University of Ireland GalwayGalwayGalwayH91 TK33Ireland
| | - Leila Nabulsi
- Centre for Neuroimaging & Cognitive Genomics (NICOG), Clinical Neuroimaging Lab, NCBES Galway Neuroscience Centre, College of Medicine, Nursing, and Health SciencesNational University of Ireland GalwayGalwayGalwayH91 TK33Ireland
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging & Informatics InstituteUniversity of Southern CaliforniaLos AngelesCaliforniaCA 90292USA
| | - Jacqueline Quirke
- Centre for Neuroimaging & Cognitive Genomics (NICOG), Clinical Neuroimaging Lab, NCBES Galway Neuroscience Centre, College of Medicine, Nursing, and Health SciencesNational University of Ireland GalwayGalwayGalwayH91 TK33Ireland
| | - Brian Hallahan
- Centre for Neuroimaging & Cognitive Genomics (NICOG), Clinical Neuroimaging Lab, NCBES Galway Neuroscience Centre, College of Medicine, Nursing, and Health SciencesNational University of Ireland GalwayGalwayGalwayH91 TK33Ireland
| | - Colm McDonald
- Centre for Neuroimaging & Cognitive Genomics (NICOG), Clinical Neuroimaging Lab, NCBES Galway Neuroscience Centre, College of Medicine, Nursing, and Health SciencesNational University of Ireland GalwayGalwayGalwayH91 TK33Ireland
| | - Dara M. Cannon
- Centre for Neuroimaging & Cognitive Genomics (NICOG), Clinical Neuroimaging Lab, NCBES Galway Neuroscience Centre, College of Medicine, Nursing, and Health SciencesNational University of Ireland GalwayGalwayGalwayH91 TK33Ireland
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Oliveira-Saraiva D, Ferreira HA. Normative model detects abnormal functional connectivity in psychiatric disorders. Front Psychiatry 2023; 14:1068397. [PMID: 36873218 PMCID: PMC9975396 DOI: 10.3389/fpsyt.2023.1068397] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/12/2022] [Accepted: 01/23/2023] [Indexed: 02/17/2023] Open
Abstract
INTRODUCTION The diagnosis of psychiatric disorders is mostly based on the clinical evaluation of the patient's signs and symptoms. Deep learning binary-based classification models have been developed to improve the diagnosis but have not yet reached clinical practice, in part due to the heterogeneity of such disorders. Here, we propose a normative model based on autoencoders. METHODS We trained our autoencoder on resting-state functional magnetic resonance imaging (rs-fMRI) data from healthy controls. The model was then tested on schizophrenia (SCZ), bipolar disorder (BD), and attention-deficit hyperactivity disorder (ADHD) patients to estimate how each patient deviated from the norm and associate it with abnormal functional brain networks' (FBNs) connectivity. Rs-fMRI data processing was conducted within the FMRIB Software Library (FSL), which included independent component analysis and dual regression. Pearson's correlation coefficients between the extracted blood oxygen level-dependent (BOLD) time series of all FBNs were calculated, and a correlation matrix was generated for each subject. RESULTS AND DISCUSSION We found that the functional connectivity related to the basal ganglia network seems to play an important role in the neuropathology of BD and SCZ, whereas in ADHD, its role is less evident. Moreover, the abnormal connectivity between the basal ganglia network and the language network is more specific to BD. The connectivity between the higher visual network and the right executive control and the connectivity between the anterior salience network and the precuneus networks are the most relevant in SCZ and ADHD, respectively. The results demonstrate that the proposed model could identify functional connectivity patterns that characterize different psychiatric disorders, in agreement with the literature. The abnormal connectivity patterns from the two independent SCZ groups of patients were similar, demonstrating that the presented normative model was also generalizable. However, the group-level differences did not withstand individual-level analysis implying that psychiatric disorders are highly heterogeneous. These findings suggest that a precision-based medical approach, focusing on each patient's specific functional network changes may be more beneficial than the traditional group-based diagnostic classification.
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Affiliation(s)
- Duarte Oliveira-Saraiva
- Institute of Biophysics and Biomedical Engineering, Faculty of Sciences of the University of Lisbon, Lisbon, Portugal
| | - Hugo Alexandre Ferreira
- Institute of Biophysics and Biomedical Engineering, Faculty of Sciences of the University of Lisbon, Lisbon, Portugal
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Rai S, Griffiths KR, Breukelaar IA, Barreiros AR, Boyce P, Hazell P, Foster SL, Malhi GS, Harris AWF, Korgaonkar MS. Common and differential neural mechanisms underlying mood disorders. Bipolar Disord 2022; 24:795-805. [PMID: 35972439 DOI: 10.1111/bdi.13248] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
BACKGROUND Despite homogenous clinical presentations between bipolar and unipolar disorders, there are distinct neurobiological differences. Chronicity of illness may be a factor impacting and sustaining certain neural features. The goal of this study was to investigate common and shared neural mechanisms underlying mood disorders, and possible sustained neural changes relating to illness chronicity by investigating a cohort of euthymic patients with bipolar disorder (BD), unipolar depression who had responded to treatment (treatment-sensitive depression, TSD), and a chronically treatment-resistant depressed (TRD) group. METHODS One hundred and seventy-two participants (40 BD, 39 TSD, 40 TRD, and 53 age-gender-matched healthy controls) underwent resting-state fMRI scans. Seed-based and independent component analyses were performed to investigate group differences in resting-state connectivity between the four groups. RESULTS All three clinical groups had significantly lower connectivity within the frontoparietal network (FPN) relative to controls. TRD and BD were significantly different from TSD (TRD, BD > TSD) but were not significantly different from each other. TRDs were also significantly different from both BD and TSD for salience network connectivity with the posterior cingulate (DMN) and the FPN with frontal pole (DMN). Additionally, the BD group exhibited greater DMN-FPN (sgACC-RDLPFC) connectivity relative to TRD, TSD, and controls, which was correlated with a previous number of depressive episodes, in the BD group only. CONCLUSIONS BD demonstrated shared and differential connectivity features relative to symptomatic TRD and euthymic TSD groups. The increased sgACC-RDLPFC connectivity in BD and its correlation with a number of depressive episodes could be a neural feature associated with illness chronicity.
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Affiliation(s)
- Sabina Rai
- Brain Dynamics Centre, Westmead Institute for Medical Research, The University of Sydney, Westmead, Sydney, New South Wales, Australia.,Faculty of Medicine and Health, Westmead Clinical School, The University of Sydney, Sydney, New South Wales, Australia
| | - Kristi R Griffiths
- Brain Dynamics Centre, Westmead Institute for Medical Research, The University of Sydney, Westmead, Sydney, New South Wales, Australia
| | - Isabella A Breukelaar
- Brain Dynamics Centre, Westmead Institute for Medical Research, The University of Sydney, Westmead, Sydney, New South Wales, Australia.,School of Psychology, University of New South Wales, Sydney, New South Wales, Australia
| | - Ana R Barreiros
- Brain Dynamics Centre, Westmead Institute for Medical Research, The University of Sydney, Westmead, Sydney, New South Wales, Australia.,Faculty of Medicine and Health, Westmead Clinical School, The University of Sydney, Sydney, New South Wales, Australia
| | - Philip Boyce
- Specialty of Psychiatry, The University of Sydney School of Medicine, Sydney, New South Wales, Australia
| | - Philip Hazell
- Specialty of Psychiatry, The University of Sydney School of Medicine, Sydney, New South Wales, Australia
| | - Sheryl L Foster
- Department of Radiology, Westmead Hospital, New South Wales, Australia.,Faculty of Medicine and Health, Sydney School of Health Sciences, The University of Sydney, Sydney, New South Wales, Australia
| | - Gin S Malhi
- Specialty of Psychiatry, The University of Sydney School of Medicine, Sydney, New South Wales, Australia.,Department of Psychiatry, CADE Clinic, Royal North Shore Hospital, Sydney, New South Wales, Australia.,Department of Psychiatry, University of Oxford, Oxford, UK
| | - Anthony W F Harris
- Brain Dynamics Centre, Westmead Institute for Medical Research, The University of Sydney, Westmead, Sydney, New South Wales, Australia.,Specialty of Psychiatry, The University of Sydney School of Medicine, Sydney, New South Wales, Australia
| | - Mayuresh S Korgaonkar
- Brain Dynamics Centre, Westmead Institute for Medical Research, The University of Sydney, Westmead, Sydney, New South Wales, Australia.,Specialty of Psychiatry, The University of Sydney School of Medicine, Sydney, New South Wales, Australia.,Faculty of Medicine and Health, Sydney School of Health Sciences, The University of Sydney, Sydney, New South Wales, Australia
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Scholly J, Gras A, Guye M, Bilger M, Valenti Hirsch MP, Hirsch E, Timofeev A, Vidailhet P, Bénar CG, Bartolomei F. Connectivity Alterations in Emotional and Cognitive Networks During a Manic State Induced by Direct Electrical Stimulation. Brain Topogr 2022; 35:627-635. [PMID: 36071370 DOI: 10.1007/s10548-022-00913-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2021] [Accepted: 08/27/2022] [Indexed: 11/28/2022]
Abstract
Mania is characterized by affective and cognitive alterations, with heightened external and self-awareness that are opposite to the alteration of awareness during epileptic seizures. Electrical stimulations carried out routinely during stereotactic intracerebral EEG (SEEG) recordings for presurgical evaluation of epilepsy may represent a unique opportunity to study the pathophysiology of such complex emotional-behavioral phenomenon, particularly difficult to reproduce in experimental setting. We investigated SEEG signals-based functional connectivity between different brain regions involved in emotions and in consciousness processing during a manic state induced by electrical stimulation in a patient with drug-resistant focal epilepsy. The stimulation inducing manic state and an asymptomatic stimulation of the same site, as well as a seizure with alteration of awareness (AOA) were analyzed. Functional connectivity analysis was performed by measuring interdependencies (nonlinear regression analysis based on the h2 coefficient) between broadband SEEG signals and within typical sub-bands, before and after stimulation, or before and during the seizure with AOA, respectively. Stimulation of the right lateral prefrontal cortex induced a manic state lasting several hours. Its onset was associated with significant increase of broadband-signal functional coupling between the right hemispheric limbic nodes, the temporal pole and the claustrum, whereas significant decorrelation between the right lateral prefrontal and the anterior cingulate cortex was observed in theta-band. In contrast, ictal alteration of awareness was associated with increased broadband and sub-bands synchronization within and between the internal and external awareness networks, including the anterior and middle cingulate, the mesial and lateral prefrontal, the inferior parietal and the temporopolar cortex. Our data suggest the existence of network- and frequency-specific functional connectivity patterns during manic state. A transient desynchronization of theta activity between the external and internal awareness network hubs is likely to increase awareness, with potential therapeutic effect.
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Affiliation(s)
- Julia Scholly
- Service d'Epileptologie et de Rythmololgie Cérébrale, Hôpital Timone, AP-HM, Marseille, France. .,Aix Marseille Univ, CNRS, CRMBM, Marseille, France. .,Service d'Epileptologie et Rythmologie Cérébrale, Hôpital Timone, AP-HM, 264 Rue St Pierre, 13005, Marseille, France.
| | - Adrien Gras
- Consultation-Liaison Psychiatry Unit, University Hospital of Strasbourg, Strasbourg, France
| | - Maxime Guye
- Service d'Epileptologie et de Rythmololgie Cérébrale, Hôpital Timone, AP-HM, Marseille, France.,Aix Marseille Univ, CNRS, CRMBM, Marseille, France
| | - Mathias Bilger
- Medical and Surgical Epilepsy Unit, University Hospital of Strasbourg, Strasbourg, France
| | | | - Edouard Hirsch
- Medical and Surgical Epilepsy Unit, University Hospital of Strasbourg, Strasbourg, France
| | - Alexander Timofeev
- Medical and Surgical Epilepsy Unit, University Hospital of Strasbourg, Strasbourg, France
| | - Pierre Vidailhet
- Consultation-Liaison Psychiatry Unit, University Hospital of Strasbourg, Strasbourg, France
| | - Christian G Bénar
- Aix Marseille Univ, INSERM, INS, Inst Neurosci Syst, Marseille, France
| | - Fabrice Bartolomei
- Service d'Epileptologie et de Rythmololgie Cérébrale, Hôpital Timone, AP-HM, Marseille, France.,Aix Marseille Univ, INSERM, INS, Inst Neurosci Syst, Marseille, France
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11
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Xie F, Guan C, Gu Y, You Y, Yao F. Effects of the Prolong Life With Nine Turn Method (Yan Nian Jiu Zhuan) Qigong on Brain Functional Changes in Patients With Chronic Fatigue Syndrome in Terms of Fatigue and Quality of Life. Front Neurol 2022; 13:866424. [PMID: 35911899 PMCID: PMC9326262 DOI: 10.3389/fneur.2022.866424] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2022] [Accepted: 06/22/2022] [Indexed: 11/13/2022] Open
Abstract
BackgroundChronic fatigue syndrome (CFS) is characterized by persistent fatigue, which often leads to physical and psychological damage. The Prolong Life with Nine Turn method (PLWNT) Qigong is considered as one of the complementary treatments for improving symptoms in patients with CFS. In this study, we used functional magnetic resonance imaging (fMRI) to explore the effects of PLWNT intervention on the subjects with CFS.MethodsThirty four CFS patients were randomly divided into PLWNT group and cognitive behavioral therapy (CBT) group. Both groups were taught by a highly qualified professor at the Shanghai University of Traditional Chinese Medicine once a week and were supervised online during the remaining 6 days at home, over 12 consecutive weeks. We calculated the regional rs-fMRI index amplitude of low-frequency fluctuations (ALFF) for all subjects. To study the changes of the brain network, we used the brain regions with significant differences in ALFF as the regions of interest for whole-brain functional connectivity (FC) analysis. The Multi-dimensional Fatigue Inventory 20 (MFI-20) and Short Form 36-item Health Survey (SF-36) were used for clinical symptom assessment to explore the possible correlation between the rs-fMRI indicators and clinical variations.ResultsThe ALFF values of the right superior frontal gyrus (SFG), and left median cingulate gyrus (DCG) were increased, whereas those of the left middle occipital gyrus (OG), right middle OG and left middle temporal gyrus (MTG) were decreased in PLWNT group. The FC values between the DCG and middle temporal gyrus (MTG), and those between the left OG and the right OG were enhanced. In addition, the SF-36 were positively with the left OG (r = 0.524), SFG (r = 0.517), and DCG (r = 0.533), MFI-20 were negatively with the SFG (r = −0.542) and DCG (r = −0.578). These results were all corrected by FWE (voxel level p < 0.001, cluster level p < 0.05).ConclusionCFS patients have abnormal regional spontaneous neuronal activity and abnormal functional connections between regions after PLWNT intervention. PLWNT can relieve the fatigue symptoms of CFS patients and improve their quality of life. The study was registered in the American Clinical Trial Registry (12/04/2018). Registration Number is NCT03496961.
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Affiliation(s)
- Fangfang Xie
- Shanghai Municipal Hospital of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China
- School of Acupuncture and Massage, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Chong Guan
- School of Acupuncture and Massage, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Yuanjia Gu
- School of Acupuncture and Massage, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Yanli You
- Department of Traditional Chinese Medicine, ChangHai Hospital, Naval Medical University, Shanghai, China
- *Correspondence: Yanli You
| | - Fei Yao
- Shanghai Municipal Hospital of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China
- School of Acupuncture and Massage, Shanghai University of Traditional Chinese Medicine, Shanghai, China
- Fei Yao
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12
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Digiovanni A, Ajdinaj P, Russo M, Sensi SL, Onofrj M, Thomas A. Bipolar spectrum disorders in neurologic disorders. Front Psychiatry 2022; 13:1046471. [PMID: 36620667 PMCID: PMC9811836 DOI: 10.3389/fpsyt.2022.1046471] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/16/2022] [Accepted: 12/05/2022] [Indexed: 12/24/2022] Open
Abstract
Psychiatric symptoms frequently predate or complicate neurological disorders, such as neurodegenerative diseases. Symptoms of bipolar spectrum disorders (BSD), like mood, behavioral, and psychotic alterations, are known to occur - individually or as a syndromic cluster - in Parkinson's disease and in the behavioral variant of frontotemporal dementia (FTD). Nonetheless, due to shared pathophysiological mechanisms, or genetic predisposition, several other neurological disorders show significant, yet neglected, clinical and biological overlaps with BSD like neuroinflammation, ion channel dysfunctions, neurotransmission imbalance, or neurodegeneration. BSD pathophysiology is still largely unclear, but large-scale network dysfunctions are known to participate in the onset of mood disorders and psychotic symptoms. Thus, functional alterations can unleash BSD symptoms years before the evidence of an organic disease of the central nervous system. The aim of our narrative review was to illustrate the numerous intersections between BSD and neurological disorders from a clinical-biological point of view and the underlying predisposing factors, to guide future diagnostic and therapeutical research in the field.
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Affiliation(s)
- Anna Digiovanni
- Department of Neuroscience, Imaging and Clinical Sciences, "G. D'Annunzio" University of Chieti-Pescara, Chieti, Italy.,Center for Advanced Studies and Technology (CAST), "G. D'Annunzio" University of Chieti-Pescara, Chieti, Italy
| | - Paola Ajdinaj
- Department of Neuroscience, Imaging and Clinical Sciences, "G. D'Annunzio" University of Chieti-Pescara, Chieti, Italy.,Center for Advanced Studies and Technology (CAST), "G. D'Annunzio" University of Chieti-Pescara, Chieti, Italy
| | - Mirella Russo
- Department of Neuroscience, Imaging and Clinical Sciences, "G. D'Annunzio" University of Chieti-Pescara, Chieti, Italy.,Center for Advanced Studies and Technology (CAST), "G. D'Annunzio" University of Chieti-Pescara, Chieti, Italy
| | - Stefano L Sensi
- Department of Neuroscience, Imaging and Clinical Sciences, "G. D'Annunzio" University of Chieti-Pescara, Chieti, Italy.,Center for Advanced Studies and Technology (CAST), "G. D'Annunzio" University of Chieti-Pescara, Chieti, Italy
| | - Marco Onofrj
- Department of Neuroscience, Imaging and Clinical Sciences, "G. D'Annunzio" University of Chieti-Pescara, Chieti, Italy.,Center for Advanced Studies and Technology (CAST), "G. D'Annunzio" University of Chieti-Pescara, Chieti, Italy
| | - Astrid Thomas
- Department of Neuroscience, Imaging and Clinical Sciences, "G. D'Annunzio" University of Chieti-Pescara, Chieti, Italy
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13
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Langenecker SA, Westlund Schreiner M, Thomas LR, Bessette KL, DelDonno SR, Jenkins LM, Easter RE, Stange JP, Pocius SL, Dillahunt A, Love TM, Phan KL, Koppelmans V, Paulus M, Lindquist MA, Caffo B, Mickey BJ, Welsh RC. Using Network Parcels and Resting-State Networks to Estimate Correlates of Mood Disorder and Related Research Domain Criteria Constructs of Reward Responsiveness and Inhibitory Control. BIOLOGICAL PSYCHIATRY. COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2022; 7:76-84. [PMID: 34271215 PMCID: PMC8748287 DOI: 10.1016/j.bpsc.2021.06.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/07/2021] [Revised: 05/14/2021] [Accepted: 06/13/2021] [Indexed: 01/03/2023]
Abstract
BACKGROUND Resting-state graph-based network edges can be powerful tools for identification of mood disorders. We address whether these edges can be integrated with Research Domain Criteria (RDoC) constructs for accurate identification of mood disorder-related markers, while minimizing active symptoms of disease. METHODS We compared 132 individuals with currently remitted or euthymic mood disorder with 65 healthy comparison participants, ages 18-30 years. Subsets of smaller brain parcels, combined into three prominent networks and one network of parcels overlapping across these networks, were used to compare edge differences between groups. Consistent with the RDoC framework, we evaluated individual differences with performance measure regressors of inhibitory control and reward responsivity. Within an omnibus regression model, we predicted edges related to diagnostic group membership, performance within both RDoC domains, and relevant interactions. RESULTS There were several edges of mood disorder group, predominantly of greater connectivity across networks, different than those related to individual differences in inhibitory control and reward responsivity. Edges related to diagnosis and inhibitory control did not align well with prior literature, whereas edges in relation to reward responsivity constructs showed greater alignment with prior literature. Those edges in interaction between RDoC constructs and diagnosis showed a divergence for inhibitory control (negative interactions in default mode) relative to reward (positive interactions with salience and emotion network). CONCLUSIONS In conclusion, there is evidence that prior simple network models of mood disorders are currently of insufficient biological or diagnostic clarity or that parcel-based edges may be insufficiently sensitive for these purposes.
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Affiliation(s)
| | | | - Leah R Thomas
- Department of Psychiatry, University of Utah, Salt Lake City, Utah; Department of Psychology, University of Utah, Salt Lake City, Utah
| | - Katie L Bessette
- Department of Psychiatry, University of Utah, Salt Lake City, Utah; Department of Psychiatry & Psychology, University of Illinois at Chicago, Chicago, Illinois
| | - Sophia R DelDonno
- Department of Psychiatry & Psychology, University of Illinois at Chicago, Chicago, Illinois
| | - Lisanne M Jenkins
- Department of Psychiatry and Behavioral Sciences, Feinberg School of Medicine, Northwestern University, Evanston, Illinois
| | - Rebecca E Easter
- Department of Psychiatry & Psychology, University of Illinois at Chicago, Chicago, Illinois
| | - Jonathan P Stange
- Department of Psychiatry & Psychology, University of Illinois at Chicago, Chicago, Illinois; Department of Psychology, University of Southern California, Los Angeles, California
| | | | - Alina Dillahunt
- Department of Psychiatry, University of Utah, Salt Lake City, Utah
| | - Tiffany M Love
- Department of Psychiatry, University of Utah, Salt Lake City, Utah
| | - K Luan Phan
- Department of Psychiatry and Behavioral Health, The Ohio State University, Columbus, Ohio
| | | | - Martin Paulus
- Laureate Institute for Brain Research, Tulsa, Oklahoma
| | | | - Brian Caffo
- Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Brian J Mickey
- Department of Psychiatry, University of Utah, Salt Lake City, Utah
| | - Robert C Welsh
- Department of Psychiatry, University of Utah, Salt Lake City, Utah
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14
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Marino M, Romeo Z, Angrilli A, Semenzato I, Favaro A, Magnolfi G, Padovan GB, Mantini D, Spironelli C. Default mode network shows alterations for low-frequency fMRI fluctuations in euthymic bipolar disorder. J Psychiatr Res 2021; 144:59-65. [PMID: 34600288 DOI: 10.1016/j.jpsychires.2021.09.051] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/13/2021] [Revised: 09/13/2021] [Accepted: 09/23/2021] [Indexed: 11/18/2022]
Abstract
Bipolar disorder (BD) is a psychiatric condition causing acute dysfunctional mood states and emotion regulation. Specific neuropsychological features are often present also among patients in euthymic phase, who do not show clear psychotic symptoms, and for whom the characterization from functional magnetic resonance imaging (fMRI) is very limited. This study aims at identifying the neural and behavioral correlates of the default mode network (DMN) using the fractional amplitude of low frequency fluctuations (fALFF). Eighteen euthymic BD patients (10 females; age = 54.50 ± 11.38 years) and sixteen healthy controls (HC) (8 females; age = 51.16 ± 11.44 years) underwent a 1.5T fMRI scan at rest. The DMN was extracted through independent component analysis. Then, DMN time series was used to compute the fALFF, which was correlated with clinical scales. From the between-group comparison, no significant differences emerged in correspondence to regions belonging to the DMN. For fALFF analysis, we reported significant increase of low-frequency fluctuations for lower frequencies, and decreases for higher frequencies compared to HC. Correlations with clinical scales showed that an increase in higher frequency spectral content was associated with lower levels of mania and higher levels of anxious symptoms, while an increase in lower frequencies was linked to lower depressive symptoms. Starting from our findings on the DMN in euthymic BD patients, we suggest that the fALFF derived from network time series represents a viable approach to investigate the behavioral correlates of resting state networks, and the pathophysiological mechanisms of different psychiatric conditions.
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Affiliation(s)
- Marco Marino
- Department of Movement Sciences, Research Center for Motor Control and Neuroplasticity, KU, Leuven, Belgium; IRCCS San Camillo Hospital, Venice, Italy.
| | - Zaira Romeo
- Department of General Psychology, University of Padova, Italy
| | - Alessandro Angrilli
- Department of General Psychology, University of Padova, Italy; Padova Neuroscience Center, University of Padova, Italy
| | | | - Angela Favaro
- Padova Neuroscience Center, University of Padova, Italy; Psychiatric Clinic, Neuroscience Department, University of Padova, Italy
| | - Gianna Magnolfi
- Psychiatric Clinic, Neuroscience Department, University of Padova, Italy
| | - Giordano Bruno Padovan
- Psychiatric Clinic, Neuroscience Department, University of Padova, Italy; Unit of Penitentiary Medicine, ULSS6, Padova, Italy
| | - Dante Mantini
- Department of Movement Sciences, Research Center for Motor Control and Neuroplasticity, KU, Leuven, Belgium; IRCCS San Camillo Hospital, Venice, Italy
| | - Chiara Spironelli
- Department of General Psychology, University of Padova, Italy; Padova Neuroscience Center, University of Padova, Italy.
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15
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Li Z, Chen J, Feng Y, Zhong S, Tian S, Dai Z, Lu Q, Guan Y, Shan Y, Jia Y. Differences in verbal and spatial working memory in patients with bipolar II and unipolar depression: an MSI study. BMC Psychiatry 2021; 21:568. [PMID: 34781922 PMCID: PMC8594073 DOI: 10.1186/s12888-021-03595-3] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/27/2021] [Accepted: 11/08/2021] [Indexed: 11/23/2022] Open
Abstract
BACKGROUND Depressive symptoms could be similarly expressed in bipolar and unipolar disorder. However, changes in cognition and brain networks might be quite distinct. We aimed to find out the difference in the neural mechanism of impaired working memory in patients with bipolar and unipolar disorder. METHOD According to diagnostic criteria of bipolar II disorder of the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5) and assessments, 13 bipolar II depression (BP II), 8 unipolar depression (UD) patients and 15 healthy controls (HC) were recruited in the study. We used 2-back tasks and magnetic source imaging (MSI) to test working memory functions and get the brain reactions of the participants. RESULTS Compared with HC, only spatial working memory tasks accuracy was significantly worse in both UD and BP II (p = 0.001). Pearson correlation showed that the stronger the FCs' strength of MFG-IPL and IPL-preSMA, the higher accuracy of SWM task within left FPN in patients with UD (r = 0.860, p = 0.006; r = 0.752, p = 0.031). However, the FC strength of IFG-IPL was negatively correlated with the accuracy of SWM task within left FPN in patients with BP II (r = - 0.591, p = 0.033). CONCLUSIONS Our study showed that the spatial working memory of patients with whether UD or BP II was impaired. The patterns of FCs within these two groups of patients were different when performing working memory tasks.
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Affiliation(s)
- Zhinan Li
- grid.412601.00000 0004 1760 3828Psychiatric Department, The First Affiliated Hospital of Jinan University, 613 West Huangpu Avenue, Guangzhou, 510630 China ,grid.412558.f0000 0004 1762 1794Psychiatric Department, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Junhao Chen
- grid.412601.00000 0004 1760 3828Psychiatric Department, The First Affiliated Hospital of Jinan University, 613 West Huangpu Avenue, Guangzhou, 510630 China
| | - Yigang Feng
- grid.490151.8Department of Electrophysiology, the Guangdong 999 brain Hospital, Guangzhou, China
| | - Shuming Zhong
- grid.412601.00000 0004 1760 3828Psychiatric Department, The First Affiliated Hospital of Jinan University, 613 West Huangpu Avenue, Guangzhou, 510630 China
| | - Shui Tian
- grid.263826.b0000 0004 1761 0489School of Biological Sciences & Medical Engineering, Southeast University, Nanjing, China ,grid.263826.b0000 0004 1761 0489Key Laboratory of Child Development and Learning Science, Southeast University, Nanjing, China
| | - Zhongpeng Dai
- grid.263826.b0000 0004 1761 0489School of Biological Sciences & Medical Engineering, Southeast University, Nanjing, China ,grid.263826.b0000 0004 1761 0489Key Laboratory of Child Development and Learning Science, Southeast University, Nanjing, China
| | - Qing Lu
- grid.263826.b0000 0004 1761 0489School of Biological Sciences & Medical Engineering, Southeast University, Nanjing, China ,grid.263826.b0000 0004 1761 0489Key Laboratory of Child Development and Learning Science, Southeast University, Nanjing, China
| | - Yufang Guan
- grid.490151.8Department of Electrophysiology, the Guangdong 999 brain Hospital, Guangzhou, China
| | - Yanyan Shan
- grid.412601.00000 0004 1760 3828Psychiatric Department, The First Affiliated Hospital of Jinan University, 613 West Huangpu Avenue, Guangzhou, 510630 China
| | - Yanbin Jia
- Psychiatric Department, The First Affiliated Hospital of Jinan University, 613 West Huangpu Avenue, Guangzhou, 510630, China.
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16
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Rai S, Griffiths KR, Breukelaar IA, Barreiros AR, Chen W, Boyce P, Hazell P, Foster SL, Malhi GS, Harris AWF, Korgaonkar MS. Default-mode and fronto-parietal network connectivity during rest distinguishes asymptomatic patients with bipolar disorder and major depressive disorder. Transl Psychiatry 2021; 11:547. [PMID: 34689161 PMCID: PMC8542033 DOI: 10.1038/s41398-021-01660-9] [Citation(s) in RCA: 29] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/25/2021] [Revised: 09/21/2021] [Accepted: 10/01/2021] [Indexed: 11/08/2022] Open
Abstract
Bipolar disorder (BD) is commonly misdiagnosed as major depressive disorder (MDD). This is understandable, as depression often precedes mania and is otherwise indistinguishable in both. It is therefore imperative to identify neural mechanisms that can differentiate the two disorders. Interrogating resting brain neural activity may reveal core distinguishing abnormalities. We adopted an a priori approach, examining three key networks documented in previous mood disorder literature subserving executive function, salience and rumination that may differentiate euthymic BD and MDD patients. Thirty-eight patients with BD, 39 patients with MDD matched for depression severity, and 39 age-gender matched healthy controls, completed resting-state fMRI scans. Seed-based and data-driven Independent Component analyses (ICA) were implemented to examine group differences in resting-state connectivity (pFDR < 0.05). Seed analysis masks were target regions identified from the fronto-parietal (FPN), salience (SN) and default-mode (DMN) networks. Seed-based analyses identified significantly greater connectivity between the subgenual cingulate cortex (DMN) and right dorsolateral prefrontal cortex (FPN) in BD relative to MDD and controls. The ICA analyses also found greater connectivity between the DMN and inferior frontal gyrus, an FPN region in BD relative to MDD. There were also significant group differences across the three networks in both clinical groups relative to controls. Altered DMN-FPN functional connectivity is thought to underlie deficits in the processing, management and regulation of affective stimuli. Our results suggest that connectivity between these networks could potentially distinguish the two disorders and could be a possible trait mechanism in BD persisting even in the absence of symptoms.
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Affiliation(s)
- Sabina Rai
- Brain Dynamics Centre, Westmead Institute for Medical Research, The University of Sydney, Westmead, Sydney, NSW, Australia.
| | - Kristi R Griffiths
- Brain Dynamics Centre, Westmead Institute for Medical Research, The University of Sydney, Westmead, Sydney, NSW, Australia
| | - Isabella A Breukelaar
- Brain Dynamics Centre, Westmead Institute for Medical Research, The University of Sydney, Westmead, Sydney, NSW, Australia
- School of Psychology, University of New South Wales, Sydney, NSW, Australia
| | - Ana R Barreiros
- Brain Dynamics Centre, Westmead Institute for Medical Research, The University of Sydney, Westmead, Sydney, NSW, Australia
| | - Wenting Chen
- Brain Dynamics Centre, Westmead Institute for Medical Research, The University of Sydney, Westmead, Sydney, NSW, Australia
| | - Philip Boyce
- Discipline of Psychiatry, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia
| | - Philip Hazell
- Discipline of Psychiatry, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia
| | - Sheryl L Foster
- Department of Radiology, Westmead Hospital, Sydney, NSW, Australia
- Sydney School of Health Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia
| | - Gin S Malhi
- Discipline of Psychiatry, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia
- CADE Clinic, Department of Psychiatry, Royal North Shore Hospital, Sydney, NSW, Australia
| | - Anthony W F Harris
- Brain Dynamics Centre, Westmead Institute for Medical Research, The University of Sydney, Westmead, Sydney, NSW, Australia
- Discipline of Psychiatry, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia
| | - Mayuresh S Korgaonkar
- Brain Dynamics Centre, Westmead Institute for Medical Research, The University of Sydney, Westmead, Sydney, NSW, Australia.
- Discipline of Psychiatry, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia.
- Sydney School of Health Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia.
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17
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Zhang L, Wu H, Zhang A, Bai T, Ji GJ, Tian Y, Wang K. Aberrant brain network topology in the frontoparietal-limbic circuit in bipolar disorder: a graph-theory study. Eur Arch Psychiatry Clin Neurosci 2021; 271:1379-1391. [PMID: 33386961 DOI: 10.1007/s00406-020-01219-7] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/14/2020] [Accepted: 12/02/2020] [Indexed: 12/21/2022]
Abstract
Characterizing the properties of brain networks across mood states seen in bipolar disorder (BP) can provide a deeper insight into the mechanisms involved in this type of affective disorder. In this study, graph theoretical methods were used to examine global, modular and nodal brain network topology in the resting state using functional magnetic resonance imaging data acquired from 95 participants, including those with bipolar depression (BPD; n = 30) and bipolar mania (BPM; n = 39) and healthy control (HC) subjects (n = 26). The threshold value of the individual subjects' connectivity matrix varied from 0.15 to 0.30 with steps of 0.01. We found that: (1) at the global level, BP patients showed a significantly increased global efficiency and synchronization and a decreased path length; (2) at the nodal level, BP patients showed impaired nodal parameters, predominantly within the frontoparietal and limbic sub-network; (3) at the module level, BP patients were characterized by denser FCs (edges) between Module III (the front-parietal system) and Module V (limbic/paralimbic systems); (4) at the nodal level, the BPD and BPM groups showed state-specific differences in the orbital part of the left superior-frontal gyrus, right putamen, right parahippocampal gyrus and left fusiform gyrus. These results revealed abnormalities in topological organization in the whole brain, especially in the frontoparietal-limbic circuit in both BPD and BPM. These deficits may reflect the pathophysiological processes occurring in BP. In addition, state-specific regional nodal alterations in BP could potentially provide biomarkers of conversion across different mood states.
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Affiliation(s)
- Li Zhang
- Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, 230022, China
- Anhui Mental Health Center, Hefei, Anhui Province, China
| | - Huiling Wu
- Anhui Mental Health Center, Hefei, Anhui Province, China
| | - Aiguo Zhang
- Anhui Mental Health Center, Hefei, Anhui Province, China
| | - Tongjian Bai
- Department of Neurology, The First Affiliated Hospital of Anhui Medical University, 218 Jixi Road, Hefei, 230022, Anhui Province, China
- Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, 230022, China
| | - Gong-Jun Ji
- Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, 230022, China
- Collaborative Innovation Center of Neuropsychiatric Disorders and Mental Health, Hefei, 230022, China
- Department of Medical Psychology, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, China
| | - Yanghua Tian
- Department of Neurology, The First Affiliated Hospital of Anhui Medical University, 218 Jixi Road, Hefei, 230022, Anhui Province, China
- Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, 230022, China
- Department of Medical Psychology, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, China
| | - Kai Wang
- Department of Neurology, The First Affiliated Hospital of Anhui Medical University, 218 Jixi Road, Hefei, 230022, Anhui Province, China.
- Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, 230022, China.
- Collaborative Innovation Center of Neuropsychiatric Disorders and Mental Health, Hefei, 230022, China.
- Department of Medical Psychology, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, China.
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18
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Olivito G, Lupo M, Gragnani A, Saettoni M, Siciliano L, Pancheri C, Panfili M, Cercignani M, Bozzali M, Chiaie RD, Leggio M. Aberrant Cerebello-Cerebral Connectivity in Remitted Bipolar Patients 1 and 2: New Insight into Understanding the Cerebellar Role in Mania and Hypomania. THE CEREBELLUM 2021; 21:647-656. [PMID: 34432230 PMCID: PMC9325834 DOI: 10.1007/s12311-021-01317-9] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Accepted: 08/10/2021] [Indexed: 01/04/2023]
Abstract
Bipolar disorder (BD) is a major mental illness characterized by periods of (hypo) mania and depression with inter-episode remission periods. Functional studies in BD have consistently implicated a set of linked cortical and subcortical limbic regions in the pathophysiology of the disorder, also including the cerebellum. However, the cerebellar role in the neurobiology of BD still needs to be clarified. Seventeen euthymic patients with BD type1 (BD1) (mean age/SD, 38.64/13.48; M/F, 9/8) and 13 euthymic patients with BD type 2 (BD2) (mean age/SD, 41.42/14.38; M/F, 6/7) were compared with 37 sex- and age-matched healthy subjects (HS) (mean age/SD, 45.65/14.15; M/F, 15/22). T1 weighted and resting-state functional connectivity (FC) scans were acquired. The left and right dentate nucleus were used as seed regions for the seed based analysis. FC between each seed and the rest of the brain was compared between patients and HS. Correlations between altered cerebello-cerebral connectivity and clinical scores were then investigated. Different patterns of altered dentate-cerebral connectivity were found in BD1 and BD2. Overall, impaired dentate-cerebral connectivity involved regions of the anterior limbic network specifically related to the (hypo)manic states of BD. Cerebello-cerebral connectivity is altered in BD1 and BD2. Interestingly, the fact that these altered FC patterns persist during euthymia, supports the hypothesis that cerebello-cerebral FC changes reflect the neural correlate of subthreshold symptoms, as trait-based pathophysiology and/or compensatory mechanism to maintain a state of euthymia.
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Affiliation(s)
- Giusy Olivito
- Department of Psychology, Sapienza University of Rome, Via Dei Marsi, 78, 00185, Rome, Italy.,IRCCS Fondazione Santa Lucia, 00179, Rome, Italy
| | - Michela Lupo
- Servizio di Tutela della Salute Mentale e Riabilitazione dell'Età Evolutiva ASL, Roma 2, 00145, Rome, Italy
| | - Andrea Gragnani
- Scuola di Psicoterapia Cognitiva SPC, 58100, Grosseto, Italy.,Associazione Psicologia Cognitiva (APC)/Scuola di Psicoterapia Cognitiva (SPC), 00185, Rome, Italy
| | - Marco Saettoni
- Associazione Psicologia Cognitiva (APC)/Scuola di Psicoterapia Cognitiva (SPC), 00185, Rome, Italy.,Unità funzionale salute mentale adulti ASL, Toscana nord-ovest, Valle del Serchio, 55100, Pisa, Italy
| | - Libera Siciliano
- PhD Program in Behavioral Neuroscience, Sapienza University of Rome, 00185, Rome, Italy
| | - Corinna Pancheri
- Department of Neuroscience and Mental Health - Policlinico Umberto I Hospital, Sapienza University of Rome, 00161, Rome, Italy
| | - Matteo Panfili
- Department of Neuroscience and Mental Health - Policlinico Umberto I Hospital, Sapienza University of Rome, 00161, Rome, Italy
| | - Mara Cercignani
- Clinical Imaging Science Center, Brighton and Sussex Medical School, Brighton, East Sussex, BN1 9RR, UK
| | - Marco Bozzali
- Department of Neuroscience "Rita Levi Montalcini", University of Turin, 10126, Turin, Italy.,Department of Neuroscience, Brighton & Sussex Medical School, University of Sussex, Brighton, East Sussex, BN1 9RR, UK
| | - Roberto Delle Chiaie
- Department of Neuroscience and Mental Health - Policlinico Umberto I Hospital, Sapienza University of Rome, 00161, Rome, Italy
| | - Maria Leggio
- Department of Psychology, Sapienza University of Rome, Via Dei Marsi, 78, 00185, Rome, Italy. .,IRCCS Fondazione Santa Lucia, 00179, Rome, Italy.
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19
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Du M, Zhang L, Li L, Ji E, Han X, Huang G, Liang Z, Shi L, Yang H, Zhang Z. Abnormal transitions of dynamic functional connectivity states in bipolar disorder: A whole-brain resting-state fMRI study. J Affect Disord 2021; 289:7-15. [PMID: 33906006 DOI: 10.1016/j.jad.2021.04.005] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/26/2020] [Revised: 04/02/2021] [Accepted: 04/06/2021] [Indexed: 10/21/2022]
Abstract
BACKGROUND Dynamic functional connectivity (dFC) based on resting-state fMRI has attracted interest in the field of bipolar disorder (BD), because dFC can better capture the evolving processes of emotion and cognition, which are typically impaired in BD. However, previous dFC studies of BD have typically focused on specific seed brain regions or specific functional brain networks, and they have ignored global dynamic information interaction in the whole brain. This study is aimed to reveal aberrant and interpretable whole-brain dFC patterns of BD. METHODS The resting-state fMRI data collected from 35 euthymic BD patients and 30 healthy people. We developed a new dFC inference pipeline, including the sliding-window method, k-means clustering, a new permutation with zero-inflated Poisson regression method, and a similarity analysis for interpretable states, to examine the different patterns of dFC states between BD patients and healthy participants. RESULTS BD patients had significantly more frequent transitions between two specific dFC states, which were respectively close to high-level cognitive networks and low-level sensory networks, than healthy controls (p < 0.05, FDR). LIMITATIONS The size of samples and other BD types need to be expanded to validate the results of this study. Possible confounding effect of medication. CONCLUSIONS This study detected aberrant dFC pattern of BD, which indicated the increased lability of the processes of cognition and emotion in BD, and this finding could improve our understanding of the neuropathological mechanism of BD.
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Affiliation(s)
- Mengjiao Du
- School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen 518060, China; Guangdong Provincial Key Laboratory of Biomedical Measurements and Ultrasound Imaging, Shenzhen 518060, China; Marshall Laboratory of Biomedical Engineering, Shenzhen 518060, China
| | - Li Zhang
- School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen 518060, China; Guangdong Provincial Key Laboratory of Biomedical Measurements and Ultrasound Imaging, Shenzhen 518060, China; Marshall Laboratory of Biomedical Engineering, Shenzhen 518060, China
| | - Linling Li
- School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen 518060, China; Guangdong Provincial Key Laboratory of Biomedical Measurements and Ultrasound Imaging, Shenzhen 518060, China; Marshall Laboratory of Biomedical Engineering, Shenzhen 518060, China
| | - Erni Ji
- Department for Bipolar Disorders, Shenzhen Mental Health Centre, Shenzhen Key Lab for Psychological Healthcare, Shenzhen 518020, China
| | - Xue Han
- Department of Mental Health, Shenzhen Nanshan Center for Chronic Disease Control, Shenzhen 518060, China
| | - Gan Huang
- School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen 518060, China; Guangdong Provincial Key Laboratory of Biomedical Measurements and Ultrasound Imaging, Shenzhen 518060, China; Marshall Laboratory of Biomedical Engineering, Shenzhen 518060, China
| | - Zhen Liang
- School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen 518060, China; Guangdong Provincial Key Laboratory of Biomedical Measurements and Ultrasound Imaging, Shenzhen 518060, China; Marshall Laboratory of Biomedical Engineering, Shenzhen 518060, China
| | - Li Shi
- School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen 518060, China; Guangdong Provincial Key Laboratory of Biomedical Measurements and Ultrasound Imaging, Shenzhen 518060, China; Marshall Laboratory of Biomedical Engineering, Shenzhen 518060, China
| | - Haichen Yang
- Department for Bipolar Disorders, Shenzhen Mental Health Centre, Shenzhen Key Lab for Psychological Healthcare, Shenzhen 518020, China.
| | - Zhiguo Zhang
- School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen 518060, China; Guangdong Provincial Key Laboratory of Biomedical Measurements and Ultrasound Imaging, Shenzhen 518060, China; Marshall Laboratory of Biomedical Engineering, Shenzhen 518060, China; Peng Cheng Laboratory, Shenzhen 518055, China.
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20
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Abstract
Further understanding of older age bipolar disorder (OABD) may lead to more specific recommendations for treatment adjusted to the specific characteristics and needs caused by age-related somatic and cognitive changes. Late-onset mania has a broad differential diagnosis and requires full psychiatric and somatic work-up, including brain imaging. Research on pharmacotherapy in OABD is limited. First-line treatment of OABD is similar to that for adult bipolar disorder (BD), with specific attention to vulnerability to side effects and somatic comorbidity. Because findings in younger adults with BD cannot be extrapolated to OABD, more research in OABD is warranted.
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Affiliation(s)
- Annemiek Dols
- Department of Old Age Psychiatry, GGZinGeest and VUmc University Medical Center, Amstelveenseweg 589, 1081 JC, Amsterdam, The Netherlands; Mental Health Program, Amsterdam Public Health Research Institute, Van der Boechorstsstraat 7, 1081 BT, Amsterdam, The Netherlands; Mood, Anxiety and Psychosis Program, Amsterdam Neuroscience, De Boelelaan 1085, 1081 HV, Amsterdam, The Netherlands.
| | - Aartjan Beekman
- Department of Old Age Psychiatry, GGZinGeest and VUmc University Medical Center, Amstelveenseweg 589, 1081 JC, Amsterdam, The Netherlands; Mental Health Program, Amsterdam Public Health Research Institute, Van der Boechorstsstraat 7, 1081 BT, Amsterdam, The Netherlands; Mood, Anxiety and Psychosis Program, Amsterdam Neuroscience, De Boelelaan 1085, 1081 HV, Amsterdam, The Netherlands; Department of Psychiatry, GGZinGeest and VUmc University Medical Center, Amstelveenseweg 589, 1081 JC, Amsterdam, The Netherlands
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21
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Yoon S, Kim TD, Kim J, Lyoo IK. Altered functional activity in bipolar disorder: A comprehensive review from a large-scale network perspective. Brain Behav 2021; 11:e01953. [PMID: 33210461 PMCID: PMC7821558 DOI: 10.1002/brb3.1953] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/24/2020] [Revised: 09/08/2020] [Accepted: 10/25/2020] [Indexed: 12/21/2022] Open
Abstract
BACKGROUND Growing literature continues to identify brain regions that are functionally altered in bipolar disorder. However, precise functional network correlates of bipolar disorder have yet to be determined due to inconsistent results. The overview of neurological alterations from a large-scale network perspective may provide more comprehensive results and elucidate the neuropathology of bipolar disorder. Here, we critically review recent neuroimaging research on bipolar disorder using a network-based approach. METHODS A systematic search was conducted on studies published from 2009 through 2019 in PubMed and Google Scholar. Articles that utilized functional magnetic resonance imaging technique to examine altered functional activity of major regions belonging to a large-scale brain network in bipolar disorder were selected. RESULTS A total of 49 studies were reviewed. Within-network hypoconnectivity was reported in bipolar disorder at rest among the default mode, salience, and central executive networks. In contrast, when performing a cognitive task, hyperconnectivity among the central executive network was found. Internetwork functional connectivity in the brain of bipolar disorder was greater between the salience and default mode networks, while reduced between the salience and central executive networks at rest, compared to control. CONCLUSION This systematic review suggests disruption in the functional activity of large-scale brain networks at rest as well as during a task stimuli in bipolar disorder. Disrupted intra- and internetwork functional connectivity that are also associated with clinical symptoms suggest altered functional connectivity of and between large-scale networks plays an important role in the pathophysiology of bipolar disorder.
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Affiliation(s)
- Sujung Yoon
- Ewha Brain Institute, Ewha W. University, Seoul, South Korea.,Department of Brain and Cognitive Sciences, Ewha W. University, Seoul, South Korea
| | - Tammy D Kim
- Ewha Brain Institute, Ewha W. University, Seoul, South Korea
| | - Jungyoon Kim
- Ewha Brain Institute, Ewha W. University, Seoul, South Korea.,Department of Brain and Cognitive Sciences, Ewha W. University, Seoul, South Korea
| | - In Kyoon Lyoo
- Ewha Brain Institute, Ewha W. University, Seoul, South Korea.,Department of Brain and Cognitive Sciences, Ewha W. University, Seoul, South Korea.,Graduate School of Pharmaceutical Sciences, Ewha W. University, Seoul, South Korea.,The Brain Institute and Department of Psychiatry, University of Utah, Salt Lake City, UT, USA
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22
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Mendez MF. Degenerative dementias: Alterations of emotions and mood disorders. HANDBOOK OF CLINICAL NEUROLOGY 2021; 183:261-281. [PMID: 34389121 DOI: 10.1016/b978-0-12-822290-4.00012-8] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
Degenerative dementias such as Alzheimer's disease and frontotemporal dementia result in distinct alterations in emotional processing, emotional experiences, and mood. The neuropathology of these dementias extends to structures involved in emotional processing, including the basolateral limbic network (orbitofrontal cortex, anterior temporal lobe, amygdala, and thalamus), the insula, and ventromedial frontal lobe. Depression is the most common emotion and mood disorder affecting patients with Alzheimer's disease. The onset of depression can be a prodromal sign of this dementia. Anxiety can also be present early in the course of Alzheimer's disease and especially among patients with early-onset forms of the disease. In contrast, patients with behavioral variant frontotemporal dementia demonstrate hypoemotionality, deficits in the recognition of emotion, and decreased psychophysiological reactivity to emotional stimuli. They typically have a disproportionate impairment in emotional and cognitive empathy. One other unique feature of behavioral variant frontotemporal dementia is the frequent occurrence of bipolar disorder. The management strategies for these alterations of emotion and mood in degenerative dementias primarily involve the judicious use of the psychiatric armamentarium of medications.
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Affiliation(s)
- Mario F Mendez
- Behavioral Neurology Program, Department of Neurology, David Geffen School of Medicine at University of California Los Angeles, Los Angeles, CA, United States; Neurology Service, Veteran Affairs Greater Los Angeles Healthcare System, Los Angeles, CA, United States.
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23
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Bellani M, Bontempi P, Zovetti N, Gloria Rossetti M, Perlini C, Dusi N, Squarcina L, Marinelli V, Zoccatelli G, Alessandrini F, Francesca Maria Ciceri E, Sbarbati A, Brambilla P. Resting state networks activity in euthymic bipolar disorder. Bipolar Disord 2020; 22:593-601. [PMID: 32212391 DOI: 10.1111/bdi.12900] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
OBJECTIVES Bipolar disorder (BD) is a psychiatric condition causing shifts in mood, energy and activity levels severely altering the quality of life of the patients even in the euthymic phase. Although widely accepted, the neurobiological bases of the disorder in the euthymic phase remain elusive. This study aims at characterizing resting state functional activity of the BD euthymic phase in order to better understand the pathogenesis of the disease and build future neurobiological models. METHODS Fifteen euthymic BD patients (10 females; mean age 40.2; standard deviation 13.5; range 20-61) and 27 healthy controls (HC) (21 females; mean age 37; standard deviation 10.6; range 22-60) underwent a 3T functional MRI scan at rest. Resting state activity was extracted through independent component analysis (ICA) run with automatic dimensionality estimation. RESULTS ICA identified 22 resting state networks (RSNs). Within-network analysis revealed decreased connectivity in the visual, temporal, motor and cerebellar RSNs of BD patients vs HC. Between-network analysis showed increased connectivity between motor area and the default mode network (DMN) partially overlapping with the fronto-parietal network (FPN) in BD patients. CONCLUSION Within-network analysis confirmed existing evidence of altered cerebellar, temporal, motor and visual networks in BD. Increased connectivity between the DMN and the motor area network suggests the presence of alterations of the fronto-parietal regions, precuneus and cingulate cortex in the euthymic condition. These findings indicate that specific connectivity alterations might persist even in the euthymic state suggesting the importance of examining both within and between-network connectivity to achieve a global understanding of the BD euthymic condition.
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Affiliation(s)
- Marcella Bellani
- Department of Neurosciences, Biomedicine and Movement Sciences, Section of Psychiatry, University of Verona, Verona, Italy
| | - Pietro Bontempi
- Department of Computer Science, University of Verona, Verona, Italy
| | - Niccolò Zovetti
- Department of Neurosciences, Biomedicine and Movement Sciences, Section of Psychiatry, University of Verona, Verona, Italy
| | - Maria Gloria Rossetti
- Department of Neurosciences, Biomedicine and Movement Sciences, Section of Psychiatry, University of Verona, Verona, Italy.,Department of Neuroscience and Mental Health, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Cinzia Perlini
- Department of Neurosciences, Biomedicine and Movement Sciences, Section of Clinical Psychology, University of Verona, Verona, Italy
| | - Nicola Dusi
- Psychiatry Unit, Department of Neurosciences and Mental Health, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Letizia Squarcina
- Department of Neuroscience and Mental Health, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Veronica Marinelli
- Department of Surgery, Dentistry, Paediatrics and Gynaecology, University of Verona, Verona, Italy
| | - Giada Zoccatelli
- Neuroradiology Department, Azienda Ospedaliera Universitaria Integrata di Verona, Verona, Italy
| | - Franco Alessandrini
- Neuroradiology Department, Azienda Ospedaliera Universitaria Integrata di Verona, Verona, Italy
| | - Elisa Francesca Maria Ciceri
- Neuroradiology Department, Azienda Ospedaliera Universitaria Integrata di Verona, Verona, Italy.,Department of Neurosurgery, IRCCS Fondazione Istituto Neurologico "C.Besta", Milano, Italy
| | - Andrea Sbarbati
- Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona
| | - Paolo Brambilla
- Department of Neuroscience and Mental Health, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy.,Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy
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24
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Abstract
OBJECTIVE Previous studies have documented manic and hypomanic symptoms in behavioral variant frontotemporal dementia (bvFTD), suggesting a relationship between bipolar disorder and bvFTD. METHODS The investigators conducted a literature review as well as a review of the psychiatric histories of 137 patients with bvFTD, and patients with a prior diagnosis of bipolar disorder were identified. The clinical characteristics of patients' bipolar disorder diagnosis, family history, features of bvFTD, and results from fluorodeoxyglucose positron emission tomography (FDG-PET), as well as autopsy findings, were evaluated. RESULTS Among the 137 patients, 14 (10.2%) had a psychiatric diagnosis of bipolar disorder, eight of whom met criteria for bipolar disorder (type I, N=6; type II, N=2) 6-12 years preceding onset of classic symptoms of progressive bvFTD. Seven of the eight patients with bipolar disorder had a family history of mood disorders, four had bitemporal predominant hypometabolism on FDG-PET, and two had a tauopathy involving temporal lobes on autopsy. Three additional patients with late-onset bipolar I disorder proved to have a nonprogressive disorder mimicking bvFTD. The remaining three patients with bvFTD had prior psychiatric symptoms that did not meet criteria for a diagnosis of bipolar disorder. The literature review and the findings for one patient further suggested a shared genetic mutation in some patients. CONCLUSIONS Manic or hypomanic episodes years before other symptoms of bvFTD may be a prodrome of this dementia, possibly indicating anterior temporal involvement in bvFTD. Other patients with late-onset bipolar disorder exhibit the nonprogressive frontotemporal dementia phenocopy syndrome. Finally, a few patients with bvFTD have a genetic predisposition for both disorders.
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Affiliation(s)
- Mario F. Mendez
- Department of Neurology, David Geffen School of Medicine, University of California at Los Angeles
- Departments of Psychiatry & Biobehavioral Sciences, David Geffen School of Medicine, University of California at Los Angeles
- V.A. Greater Los Angeles Healthcare System, Los Angeles, California
| | - Leila Parand
- Department of Neurology, David Geffen School of Medicine, University of California at Los Angeles
- V.A. Greater Los Angeles Healthcare System, Los Angeles, California
| | - Golnoush Akhlaghipour
- Department of Neurology, David Geffen School of Medicine, University of California at Los Angeles
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25
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Frölich MA, White DM, Kraguljac NV, Lahti AC. Baseline Functional Connectivity Predicts Connectivity Changes Due to a Small Dose of Midazolam in Older Adults. Anesth Analg 2020; 130:224-232. [PMID: 31498189 DOI: 10.1213/ane.0000000000004385] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
BACKGROUND In the perioperative context, benzodiazepines are widely used as anxiolytics. They affect cognition in general, but it is unclear whether the effects of a small dose of the short-acting benzodiazepine midazolam can be assessed objectively. To address this scientific question, we conducted a prospective observational study in adults 55-73 years of age. Using both validated psychometric and functional imaging techniques, we determined whether a 2-mg intravenous (IV) dose of midazolam affects cognitive function. METHODS We measured the effect of 2 mg IV of midazolam with both the well-established Repeatable Battery for the Assessment of Neuropsychological Status test and resting-state functional magnetic imaging (rs-fMRI) in older adults. RESULTS Midazolam reduces immediate and delayed memory and has a profound and robust effect on rs-fMRI. Baseline resting-state connectivity predicts memory decline after midazolam administration. CONCLUSIONS Observed effects of midazolam on brain networks were statistically significant even in a small group of volunteers. If validated by other investigators, resting-state brain connectivity may have utility as a measure to predict sensitivity to midazolam in older adults.
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Affiliation(s)
| | - David M White
- Psychiatry and Behavioral Neurobiology, University of Alabama at Birmingham, Birmingham, Alabama
| | - Nina V Kraguljac
- Psychiatry and Behavioral Neurobiology, University of Alabama at Birmingham, Birmingham, Alabama
| | - Adrienne C Lahti
- Psychiatry and Behavioral Neurobiology, University of Alabama at Birmingham, Birmingham, Alabama
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26
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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).
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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.
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27
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Rey G, Piguet C, Benders A, Favre S, Eickhoff SB, Aubry JM, Vuilleumier P. Resting-state functional connectivity of emotion regulation networks in euthymic and non-euthymic bipolar disorder patients. Eur Psychiatry 2020; 34:56-63. [DOI: 10.1016/j.eurpsy.2015.12.005] [Citation(s) in RCA: 67] [Impact Index Per Article: 16.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/08/2015] [Revised: 12/15/2015] [Accepted: 12/21/2015] [Indexed: 12/20/2022] Open
Abstract
AbstractBackgroundPrevious functional magnetic resonance imaging studies in bipolar disorder (BD) have evidenced changes in functional connectivity (FC) in brain areas associated with emotion processing, but how these changes vary with mood state and specific clinical symptoms is not fully understood.MethodsWe investigated resting-state FC between a priori regions of interest (ROIs) from the default-mode network and key structures for emotion processing and regulation in 27 BD patients and 27 matched healthy controls. We further compared connectivity patterns in subgroups of 15 euthymic and 12 non-euthymic patients and tested for correlations of the connectivity strength with measures of mood, anxiety, and rumination tendency. No correction for multiple comparisons was applied given the small population sample and pre-defined target ROIs.ResultsOverall, regardless of mood state, BD patients exhibited increased FC of the left amygdala with left sgACC and PCC, relative to controls. In addition, non-euthymic BD patients showed distinctive decrease in FC between right amygdala and sgACC, whereas euthymic patients showed lower FC between PCC and sgACC. Euthymic patients also displayed increased FC between sgACC and right VLPFC. The sgACC–PCC and sgACC–left amygdala connections were modulated by rumination tendency in non-euthymic patients, whereas the sgACC-VLPFC connection was modulated by both the current mood and tendency to ruminate.ConclusionsOur results suggest that sgACC-amygdala coupling is critically affected during mood episodes, and that FC of sgACC play a pivotal role in mood normalization through its interactions with the VLPFC and PCC. However, these preliminary findings require replication with larger samples of patients.
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Sunaga M, Takei Y, Kato Y, Tagawa M, Suto T, Hironaga N, Ohki T, Takahashi Y, Fujihara K, Sakurai N, Ujita K, Tsushima Y, Fukuda M. Frequency-Specific Resting Connectome in Bipolar Disorder: An MEG Study. Front Psychiatry 2020; 11:597. [PMID: 32670117 PMCID: PMC7330711 DOI: 10.3389/fpsyt.2020.00597] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/03/2020] [Accepted: 06/09/2020] [Indexed: 12/28/2022] Open
Abstract
BACKGROUND Bipolar disorder (BD) is a serious psychiatric disorder that is associated with a high suicide rate, and for which no clinical biomarker has yet been identified. To address this issue, we investigated the use of magnetoencephalography (MEG) as a new prospective tool. MEG has been used to evaluate frequency-specific connectivity between brain regions; however, no previous study has investigated the frequency-specific resting-state connectome in patients with BD. This resting-state MEG study explored the oscillatory representations of clinical symptoms of BD via graph analysis. METHODS In this prospective case-control study, 17 patients with BD and 22 healthy controls (HCs) underwent resting-state MEG and evaluations for depressive and manic symptoms. After estimating the source current distribution, orthogonalized envelope correlations between multiple brain regions were evaluated for each frequency band. We separated regions-of-interest into seven left and right network modules, including the frontoparietal network (FPN), limbic network (LM), salience network (SAL), and default mode network (DMN), to compare the intra- and inter-community edges between the two groups. RESULTS In the BD group, we found significantly increased inter-community edges of the right LM-right DMN at the gamma band, and decreased inter-community edges of the right SAL-right FPN at the delta band and the left SAL-right SAL at the theta band. Intra-community edges in the left LM at the high beta band were significantly higher in the BD group than in the HC group. The number of connections in the left LM at the high beta band showed positive correlations with the subjective and objective depressive symptoms in the BD group. CONCLUSION We introduced graph theory into resting-state MEG studies to investigate the functional connectivity in patients with BD. To the best of our knowledge, this is a novel approach that may be beneficial in the diagnosis of BD. This study describes the spontaneous oscillatory brain networks that compensate for the time-domain issues associated with functional magnetic resonance imaging. These findings suggest that the connectivity of the LM at the beta band may be a good objective biological biomarker of the depressive symptoms associated with BD.
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Affiliation(s)
- Masakazu Sunaga
- Department of Psychiatry and Neuroscience, Gunma University Graduate School of Medicine, Maebashi, Japan
| | - Yuichi Takei
- Department of Psychiatry and Neuroscience, Gunma University Graduate School of Medicine, Maebashi, Japan
| | - Yutaka Kato
- Department of Psychiatry and Neuroscience, Gunma University Graduate School of Medicine, Maebashi, Japan.,Tsutsuji Mental Hospital, Tatebayashi, Japan
| | - Minami Tagawa
- Department of Psychiatry and Neuroscience, Gunma University Graduate School of Medicine, Maebashi, Japan.,Gunma Prefectural Psychiatric Medical Center, Isesaki, Japan
| | - Tomohiro Suto
- Gunma Prefectural Psychiatric Medical Center, Isesaki, Japan
| | - Naruhito Hironaga
- Brain Center, Faculty of Medicine, Kyushu University, Fukuoka, Japan
| | - Takefumi Ohki
- Department of Neurosurgery, Osaka University Medical School, Suita, Japan
| | - Yumiko Takahashi
- Department of Psychiatry and Neuroscience, Gunma University Graduate School of Medicine, Maebashi, Japan
| | - Kazuyuki Fujihara
- Department of Genetic and Behavioral Neuroscience, Gunma University Graduate School of Medicine, Maebashi, Japan
| | - Noriko Sakurai
- Department of Psychiatry and Neuroscience, Gunma University Graduate School of Medicine, Maebashi, Japan
| | - Koichi Ujita
- Department of Diagnostic Radiology and Nuclear Medicine, Gunma University Graduate School of Medicine, Maebashi, Japan
| | - Yoshito Tsushima
- Department of Diagnostic Radiology and Nuclear Medicine, Gunma University Graduate School of Medicine, Maebashi, Japan
| | - Masato Fukuda
- Department of Psychiatry and Neuroscience, Gunma University Graduate School of Medicine, Maebashi, Japan
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Simchick G, Shen A, Campbell B, Park HJ, West FD, Zhao Q. Pig Brains Have Homologous Resting-State Networks with Human Brains. Brain Connect 2019; 9:566-579. [PMID: 31115245 DOI: 10.1089/brain.2019.0673] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022] Open
Abstract
Many neurological and psychiatric diseases in humans are caused by disruptions to large-scale functional properties of the brain, including functional connectivity. There has been growing interest in discovering the functional organization of brain networks in larger animal models. As a result, the use of translational pig models in neuroscience has significantly increased in the past decades. The gyrencephalic pig brain resembles the human brain more in anatomy, growth, and development than the brains of commonly used small laboratory animals such as rodents. In this work, resting-state functional magnetic resonance imaging (rs-fMRI) and diffusion tensor imaging (DTI) data were acquired from a group of pigs (n = 12). rs-fMRI data were analyzed for resting-state networks (RSNs) by using independent component analysis and sparse dictionary learning. Six RSNs (executive control, cerebellar, sensorimotor, visual, auditory, and default mode) were detected that resemble their counterparts in human brains, as measured by Pearson spatial correlations and mean ratios. Supporting evidence of the validity of these RSNs was provided through the evaluation and quantification of structural connectivity measures (mean diffusivity, fractional anisotropy, fiber length, and fiber density) estimated from the DTI data. This study shows that as a translational, large animal model, pigs demonstrate great potential for mapping connectome-scale functional connectivity in experimental modeling of human brain disorders.
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Affiliation(s)
- Gregory Simchick
- Bio-Imaging Research Center, University of Georgia, Athens, Georgia.,Department of Physics and Astronomy, University of Georgia, Athens, Georgia.,Regenerative Bioscience Center, University of Georgia, Athens, Georgia
| | - Alice Shen
- Bio-Imaging Research Center, University of Georgia, Athens, Georgia
| | - Brandon Campbell
- Bio-Imaging Research Center, University of Georgia, Athens, Georgia.,Department of Physics and Astronomy, University of Georgia, Athens, Georgia
| | - Hea Jin Park
- Department of Foods and Nutrition, University of Georgia, Athens, Georgia
| | - Franklin D West
- Regenerative Bioscience Center, University of Georgia, Athens, Georgia.,Department of Animal and Dairy Science, University of Georgia, Athens, Georgia
| | - Qun Zhao
- Bio-Imaging Research Center, University of Georgia, Athens, Georgia.,Department of Physics and Astronomy, University of Georgia, Athens, Georgia.,Regenerative Bioscience Center, University of Georgia, Athens, Georgia
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Dvorak J, Hilke M, Trettin M, Wenzler S, Hagen M, Ghirmai N, Müller M, Kraft D, Reif A, Oertel V. Aberrant brain network topology in fronto-limbic circuitry differentiates euthymic bipolar disorder from recurrent major depressive disorder. Brain Behav 2019; 9:e01257. [PMID: 31066228 PMCID: PMC6576154 DOI: 10.1002/brb3.1257] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/19/2018] [Revised: 01/19/2019] [Accepted: 02/10/2019] [Indexed: 12/22/2022] Open
Abstract
INTRODUCTION Previous studies have established graph theoretical analysis of functional network connectivity (FNC) as a potential tool to detect neurobiological underpinnings of psychiatric disorders. Despite the promising outcomes in studies that examined FNC aberrancies in bipolar disorder (BD) and major depressive disorder (MDD), there is still a lack of research comparing both mood disorders, especially in a nondepressed state. In this study, we used graph theoretical network analysis to compare brain network properties of euthymic BD, euthymic MDD and healthy controls (HC) to evaluate whether these groups showed distinct features in FNC. METHODS We collected resting-state functional magnetic resonance imaging (fMRI) data from 20 BD patients, 15 patients with recurrent MDD as well as 30 age- and gender-matched HC. Graph theoretical analyses were then applied to investigate functional brain networks on a global and regional network level. RESULTS Global network analysis revealed a significantly higher mean global clustering coefficient in BD compared to HC. We further detected frontal, temporal and subcortical nodes in emotion regulation areas such as the limbic system and associated regions exhibiting significant differences in network integration and segregation in BD compared to MDD patients and HC. Participants with MDD and HC only differed in frontal and insular network centrality. CONCLUSION In conclusion, our findings indicate that a significantly altered brain network topology in the limbic system might be a trait marker specific to BD. Brain network analysis in these regions may therefore be used to differentiate euthymic BD not only from HC but also from patients with MDD.
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Affiliation(s)
- Jannis Dvorak
- Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, Goethe University Frankfurt, Frankfurt, Germany
| | - Marietheres Hilke
- Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, Goethe University Frankfurt, Frankfurt, Germany.,Brain Imaging Center (BIC), Goethe University Frankfurt, Frankfurt, Germany
| | - Marco Trettin
- Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, Goethe University Frankfurt, Frankfurt, Germany
| | - Sofia Wenzler
- Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, Goethe University Frankfurt, Frankfurt, Germany
| | - Marleen Hagen
- Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, Goethe University Frankfurt, Frankfurt, Germany
| | - Naddy Ghirmai
- Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, Goethe University Frankfurt, Frankfurt, Germany
| | - Maximilian Müller
- Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, Goethe University Frankfurt, Frankfurt, Germany.,Brain Imaging Center (BIC), Goethe University Frankfurt, Frankfurt, Germany
| | - Dominik Kraft
- Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, Goethe University Frankfurt, Frankfurt, Germany.,Brain Imaging Center (BIC), Goethe University Frankfurt, Frankfurt, Germany
| | - Andreas Reif
- Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, Goethe University Frankfurt, Frankfurt, Germany
| | - Viola Oertel
- Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, Goethe University Frankfurt, Frankfurt, Germany
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Cognitive variability in bipolar I disorder: A cluster-analytic approach informed by resting-state data. Neuropharmacology 2019; 156:107585. [PMID: 30914304 DOI: 10.1016/j.neuropharm.2019.03.028] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2018] [Revised: 03/21/2019] [Accepted: 03/22/2019] [Indexed: 01/15/2023]
Abstract
BACKGROUND While the presence of cognitive performance deficits in bipolar disorder I (BD-I) is well established, there is no consensus about which cognitive abilities are affected. Heterogeneous phenotypes displayed in BD-I further suggest the existence of subgroups among the disorder. The present study sought to identify different cognitive profiles among BD-I patients as well as potentially underlying neuronal network changes. METHODS 54 euthymic BD-I patients underwent cognitive testing and resting state neuroimaging. Hierarchical cluster-analysis was performed on executive function scores of bipolar patients. The derived clusters were compared against 54 age-, gender- and IQ-matched healthy controls (HC) to facilitate the interpretation of results. Further, resting state network properties were compared to identify differences probably underlying cognitive profiles. RESULTS A three-cluster solution emerged. Cluster 1 (n = 22) was characterized by deficits in cognitive flexibility and motor inhibition, cluster 2 (n = 12) displayed impulsive decision-making, while cluster 3 (n = 20) showed good visuospatial planning. Weaker connections in cluster 1 compared to cluster 2 were found between regions activated during tasks cluster 1 showed deficits on. Cluster 3 had a higher modularity than cluster 2, which correlated positively with problem solving performance and risk-taking in this cluster. CONCLUSION Obtained clusters showed distinct cognitive profiles, characterized by deficits and strengths, most of which remained precluded in a general comparison. Weaker interregional connections and separated subnetworks might underly behavioral deficits and strengths, respectively. The findings help explain the phenotypic heterogeneity observed in BD-I. This article is part of the Special Issue entitled 'Current status of the neurobiology of aggression and impulsivity'.
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Vai B, Bertocchi C, Benedetti F. Cortico-limbic connectivity as a possible biomarker for bipolar disorder: where are we now? Expert Rev Neurother 2019; 19:159-172. [PMID: 30599797 DOI: 10.1080/14737175.2019.1562338] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
INTRODUCTION The fronto-limbic network has been suggested as a key circuitry in the pathophysiology and maintenance of bipolar disorder. In the past decade, a disrupted connectivity within prefrontal-limbic structures was identified as a promising candidate biomarker for the disorder. Areas Covered: In this review, the authors examine current literature in terms of the structural, functional and effective connectivity in bipolar disorder, integrating recent findings of imaging genetics and machine learning. This paper profiles the current knowledge and identifies future perspectives to provide reliable and usable neuroimaging biomarkers for bipolar psychopathology in clinical practice. Expert Opinion: The replication and the translation of acquired knowledge into useful and usable tools represents one of the current greatest challenges in biomarker research applied to psychiatry.
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Affiliation(s)
- Benedetta Vai
- a Psychiatry & Clinical Psychobiology , Division of Neuroscience, Scientific Institute Ospedale San Raffaele , Milano , Italy.,b University Vita-Salute San Raffaele , Milano , Italy
| | - Carlotta Bertocchi
- a Psychiatry & Clinical Psychobiology , Division of Neuroscience, Scientific Institute Ospedale San Raffaele , Milano , Italy
| | - Francesco Benedetti
- a Psychiatry & Clinical Psychobiology , Division of Neuroscience, Scientific Institute Ospedale San Raffaele , Milano , Italy.,b University Vita-Salute San Raffaele , Milano , Italy
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33
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Abé C, Rolstad S, Petrovic P, Ekman C, Sparding T, Ingvar M, Landén M. Bipolar disorder type I and II show distinct relationships between cortical thickness and executive function. Acta Psychiatr Scand 2018; 138:325-335. [PMID: 29907968 PMCID: PMC6175455 DOI: 10.1111/acps.12922] [Citation(s) in RCA: 30] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 05/31/2018] [Indexed: 12/13/2022]
Abstract
OBJECTIVE Frontal cortical abnormalities and executive function impairment co-occur in bipolar disorder. Recent studies have shown that bipolar subtypes differ in the degree of structural and functional impairments. The relationships between cognitive performance and cortical integrity have not been clarified and might differ across patients with bipolar disorder type I, II, and healthy subjects. METHOD Using a vertex-wise whole-brain analysis, we investigated how cortical integrity, as measured by cortical thickness, correlates with executive performance in patients with bipolar disorder type I, II, and controls (N = 160). RESULTS We found focal associations between executive function and cortical thickness in the medial prefrontal cortex in bipolar II patients and controls, but not in bipolar I disorder. In bipolar II patients, we observed additional correlations in lateral prefrontal and occipital regions. CONCLUSIONS Our findings suggest that bipolar disorder patients show altered structure-function relationships, and importantly that those relationships may differ between bipolar subtypes. The findings are line with studies suggesting subtype-specific neurobiological and cognitive profiles. This study contributes to a better understanding of brain structure-function relationships in bipolar disorder and gives important insights into the neuropathophysiology of diagnostic subtypes.
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Affiliation(s)
- C. Abé
- Department of Clinical NeuroscienceKarolinska InstitutetStockholmSweden
| | - S. Rolstad
- Institute of Neuroscience and PhysiologySahlgrenska Academy at the Gothenburg UniversityGothenburgSweden
| | - P. Petrovic
- Department of Clinical NeuroscienceKarolinska InstitutetStockholmSweden
| | - C.‐J. Ekman
- Department of Clinical NeuroscienceKarolinska InstitutetStockholmSweden
| | - T. Sparding
- Institute of Neuroscience and PhysiologySahlgrenska Academy at the Gothenburg UniversityGothenburgSweden
| | - M. Ingvar
- Department of Clinical NeuroscienceKarolinska InstitutetStockholmSweden
| | - M. Landén
- Department of Clinical NeuroscienceKarolinska InstitutetStockholmSweden,Institute of Neuroscience and PhysiologySahlgrenska Academy at the Gothenburg UniversityGothenburgSweden,Center for Experimental Drugs and DiagnosticsMassachusetts General HospitalHarvard Medical SchoolBostonMAUSA
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Syan SK, Smith M, Frey BN, Remtulla R, Kapczinski F, Hall GBC, Minuzzi L. Resting-state functional connectivity in individuals with bipolar disorder during clinical remission: a systematic review. J Psychiatry Neurosci 2018; 43:298-316. [PMID: 30125243 PMCID: PMC6158027 DOI: 10.1503/jpn.170175] [Citation(s) in RCA: 95] [Impact Index Per Article: 15.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/02/2017] [Revised: 12/21/2017] [Accepted: 01/19/2018] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND Bipolar disorder is chronic and debilitating. Studies investigating resting-state functional connectivity in individuals with bipolar disorder may help to inform neurobiological models of illness. METHODS We conducted a systematic review with the following goals: to summarize the literature on resting-state functional connectivity in bipolar disorder during clinical remission (euthymia) compared with healthy controls; to critically appraise the literature and research gaps; and to propose directions for future research. We searched PubMed/MEDLINE, Embase, PsycINFO, CINAHL and grey literature up to April 2017. RESULTS Twenty-three studies were included. The most consistent finding was the absence of differences in resting-state functional connectivity of the default mode network (DMN), frontoparietal network (FPN) and salience network (SN) between people with bipolar disorder and controls, using independent component analysis. However, 2 studies in people with bipolar disorder who were positive for psychosis history reported DMN hypoconnectivity. Studies using seed-based analysis largely reported aberrant resting-state functional connectivity with the amygdala, ventrolateral prefrontal cortex, cingulate cortex and medial prefrontal cortex in people with bipolar disorder compared with controls. Few studies used regional homogeneity or amplitude of low-frequency fluctuations. LIMITATIONS We found heterogeneity in the analysis methods used. CONCLUSION Stability of the DMN, FPN and SN may reflect a state of remission. Further, DMN hypoconnectivity may reflect a positive history of psychosis in patients with bipolar disorder compared with controls, highlighting a potentially different neural phenotype of psychosis in people with bipolar disorder. Resting-state functional connectivity changes between the amygdala, prefrontal cortex and cingulate cortex may reflect a neural correlate of subthreshold symptoms experienced in bipolar disorder euthymia, the trait-based pathophysiology of bipolar disorder and/or a compensatory mechanism to maintain a state of euthymia.
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Affiliation(s)
- Sabrina K Syan
- From the MiNDS Neuroscience Graduate Program, McMaster University (Syan, Frey, Kapczinski, Hall, Minuzzi); the Women's Health Concerns Clinic (Syan, Frey, Remtulla, Minuzzi); the Mood Disorders Program, St. Joseph's Healthcare (Frey, Kapczinski, Minuzzi); the Department of Psychiatry and Behavioural Neurosciences, McMaster University (Smith, Frey, Kapczinski, Minuzzi, Smith); and the Department of Psychology, Neuroscience and Behaviour, McMaster University (Hall), Hamilton, Ontario, Canada
| | - Mara Smith
- From the MiNDS Neuroscience Graduate Program, McMaster University (Syan, Frey, Kapczinski, Hall, Minuzzi); the Women's Health Concerns Clinic (Syan, Frey, Remtulla, Minuzzi); the Mood Disorders Program, St. Joseph's Healthcare (Frey, Kapczinski, Minuzzi); the Department of Psychiatry and Behavioural Neurosciences, McMaster University (Smith, Frey, Kapczinski, Minuzzi, Smith); and the Department of Psychology, Neuroscience and Behaviour, McMaster University (Hall), Hamilton, Ontario, Canada
| | - Benicio N Frey
- From the MiNDS Neuroscience Graduate Program, McMaster University (Syan, Frey, Kapczinski, Hall, Minuzzi); the Women's Health Concerns Clinic (Syan, Frey, Remtulla, Minuzzi); the Mood Disorders Program, St. Joseph's Healthcare (Frey, Kapczinski, Minuzzi); the Department of Psychiatry and Behavioural Neurosciences, McMaster University (Smith, Frey, Kapczinski, Minuzzi, Smith); and the Department of Psychology, Neuroscience and Behaviour, McMaster University (Hall), Hamilton, Ontario, Canada
| | - Raheem Remtulla
- From the MiNDS Neuroscience Graduate Program, McMaster University (Syan, Frey, Kapczinski, Hall, Minuzzi); the Women's Health Concerns Clinic (Syan, Frey, Remtulla, Minuzzi); the Mood Disorders Program, St. Joseph's Healthcare (Frey, Kapczinski, Minuzzi); the Department of Psychiatry and Behavioural Neurosciences, McMaster University (Smith, Frey, Kapczinski, Minuzzi, Smith); and the Department of Psychology, Neuroscience and Behaviour, McMaster University (Hall), Hamilton, Ontario, Canada
| | - Flavio Kapczinski
- From the MiNDS Neuroscience Graduate Program, McMaster University (Syan, Frey, Kapczinski, Hall, Minuzzi); the Women's Health Concerns Clinic (Syan, Frey, Remtulla, Minuzzi); the Mood Disorders Program, St. Joseph's Healthcare (Frey, Kapczinski, Minuzzi); the Department of Psychiatry and Behavioural Neurosciences, McMaster University (Smith, Frey, Kapczinski, Minuzzi, Smith); and the Department of Psychology, Neuroscience and Behaviour, McMaster University (Hall), Hamilton, Ontario, Canada
| | - Geoffrey B C Hall
- From the MiNDS Neuroscience Graduate Program, McMaster University (Syan, Frey, Kapczinski, Hall, Minuzzi); the Women's Health Concerns Clinic (Syan, Frey, Remtulla, Minuzzi); the Mood Disorders Program, St. Joseph's Healthcare (Frey, Kapczinski, Minuzzi); the Department of Psychiatry and Behavioural Neurosciences, McMaster University (Smith, Frey, Kapczinski, Minuzzi, Smith); and the Department of Psychology, Neuroscience and Behaviour, McMaster University (Hall), Hamilton, Ontario, Canada
| | - Luciano Minuzzi
- From the MiNDS Neuroscience Graduate Program, McMaster University (Syan, Frey, Kapczinski, Hall, Minuzzi); the Women's Health Concerns Clinic (Syan, Frey, Remtulla, Minuzzi); the Mood Disorders Program, St. Joseph's Healthcare (Frey, Kapczinski, Minuzzi); the Department of Psychiatry and Behavioural Neurosciences, McMaster University (Smith, Frey, Kapczinski, Minuzzi, Smith); and the Department of Psychology, Neuroscience and Behaviour, McMaster University (Hall), Hamilton, Ontario, Canada
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Kotzalidis GD, Rapinesi C, Savoja V, Cuomo I, Simonetti A, Ambrosi E, Panaccione I, Gubbini S, De Rossi P, De Chiara L, Janiri D, Sani G, Koukopoulos AE, Manfredi G, Napoletano F, Caloro M, Pancheri L, Puzella A, Callovini G, Angeletti G, Del Casale A. Neurobiological Evidence for the Primacy of Mania Hypothesis. Curr Neuropharmacol 2018; 15:339-352. [PMID: 28503105 PMCID: PMC5405607 DOI: 10.2174/1570159x14666160708231216] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2016] [Revised: 05/23/2016] [Accepted: 05/24/2016] [Indexed: 12/21/2022] Open
Abstract
BACKGROUND Athanasios Koukopoulos proposed the primacy of mania hypothesis (PoM) in a 2006 book chapter and later, in two peer-reviewed papers with Nassir Ghaemi and other collaborators. This hypothesis supports that in bipolar disorder, mania leads to depression, while depression does not lead to mania. OBJECTIVE To identify evidence in literature that supports or falsifies this hypothesis. METHOD We searched the medical literature (PubMed, Embase, PsycINFO, and the Cochrane Library) for peer-reviewed papers on the primacy of mania, the default mode function of the brain in normal people and in bipolar disorder patients, and on illusion superiority until 6 June, 2016. Papers resulting from searches were considered for appropriateness to our objective. We adopted the PRISMA method for our review. The search for consistency with PoM was filtered through the neurobiological results of superiority illusion studies. RESULTS Out of a grand total of 139 records, 59 were included in our analysis. Of these, 36 were of uncertain value as to the primacy of mania hypothesis, 22 favoured it, and 1 was contrary, but the latter pooled patients in their manic and depressive phases, so to invalidate possible conclusions about its consistency with regard to PoM. All considered studies were not focused on PoM or superiority illusion, hence most of their results were, as expected, unrelated to the circuitry involved in superiority illusion. A considerable amount of evidence is consistent with the hypothesis, although indirectly so. LIMITATIONS Only few studies compared manic with depressive phases, with the majority including patients in euthymia. CONCLUSION It is possible that humans have a natural tendency for elation/optimism and positive self-consideration, that are more akin to mania; the depressive state could be a consequence of frustrated or unsustainable mania. This would be consistent with PoM.
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Affiliation(s)
- Georgios D Kotzalidis
- NESMOS Department, Sapienza University - Rome, School of Medicine and Psychology, Sant'Andrea Hospital, Via di Grottarossa 1035-1039, 00189 Rome, Italy
| | - Chiara Rapinesi
- NESMOS Department, Sapienza University - Rome, School of Medicine and Psychology, Sant'Andrea Hospital, Via di Grottarossa 1035-1039, 00189 Rome, Italy
| | - Valeria Savoja
- NESMOS Department, Sapienza University - Rome, School of Medicine and Psychology, Sant'Andrea Hospital, Via di Grottarossa 1035-1039, 00189 Rome, Italy.,ASL Roma 3, Rome, Italy
| | - Ilaria Cuomo
- NESMOS Department, Sapienza University - Rome, School of Medicine and Psychology, Sant'Andrea Hospital, Via di Grottarossa 1035-1039, 00189 Rome, Italy.,Clinica Neuropsichiatrica Villa von Siebenthal, Genzano di Roma (Rome), Italy
| | - Alessio Simonetti
- NESMOS Department, Sapienza University - Rome, School of Medicine and Psychology, Sant'Andrea Hospital, Via di Grottarossa 1035-1039, 00189 Rome, Italy.,Baylor College of Medicine, Houston, Texas, USA.,Centro Lucio Bini, Rome, Italy
| | - Elisa Ambrosi
- NESMOS Department, Sapienza University - Rome, School of Medicine and Psychology, Sant'Andrea Hospital, Via di Grottarossa 1035-1039, 00189 Rome, Italy.,Baylor College of Medicine, Houston, Texas, USA
| | - Isabella Panaccione
- NESMOS Department, Sapienza University - Rome, School of Medicine and Psychology, Sant'Andrea Hospital, Via di Grottarossa 1035-1039, 00189 Rome, Italy.,Centro Lucio Bini, Rome, Italy
| | - Silvia Gubbini
- NESMOS Department, Sapienza University - Rome, School of Medicine and Psychology, Sant'Andrea Hospital, Via di Grottarossa 1035-1039, 00189 Rome, Italy.,Centro Lucio Bini, Rome, Italy.,USL Umbria 2, Terni, Italy
| | - Pietro De Rossi
- NESMOS Department, Sapienza University - Rome, School of Medicine and Psychology, Sant'Andrea Hospital, Via di Grottarossa 1035-1039, 00189 Rome, Italy.,Centro Lucio Bini, Rome, Italy
| | - Lavinia De Chiara
- NESMOS Department, Sapienza University - Rome, School of Medicine and Psychology, Sant'Andrea Hospital, Via di Grottarossa 1035-1039, 00189 Rome, Italy.,Centro Lucio Bini, Rome, Italy
| | - Delfina Janiri
- NESMOS Department, Sapienza University - Rome, School of Medicine and Psychology, Sant'Andrea Hospital, Via di Grottarossa 1035-1039, 00189 Rome, Italy
| | - Gabriele Sani
- NESMOS Department, Sapienza University - Rome, School of Medicine and Psychology, Sant'Andrea Hospital, Via di Grottarossa 1035-1039, 00189 Rome, Italy.,Centro Lucio Bini, Rome, Italy
| | - Alexia E Koukopoulos
- NESMOS Department, Sapienza University - Rome, School of Medicine and Psychology, Sant'Andrea Hospital, Via di Grottarossa 1035-1039, 00189 Rome, Italy.,Centro Lucio Bini, Rome, Italy
| | - Giovanni Manfredi
- NESMOS Department, Sapienza University - Rome, School of Medicine and Psychology, Sant'Andrea Hospital, Via di Grottarossa 1035-1039, 00189 Rome, Italy.,Centro Lucio Bini, Rome, Italy
| | - Flavia Napoletano
- Core Trainee in Psychiatry, NELFT (North East London Foundation Trust), London, UK.,King's College London, Institute of Psychiatry, Psychology and Neuroscience, Department of Psychosis Studies, 16 De Crespigny Park, London SE5 8AF London, UK
| | - Matteo Caloro
- NESMOS Department, Sapienza University - Rome, School of Medicine and Psychology, Sant'Andrea Hospital, Via di Grottarossa 1035-1039, 00189 Rome, Italy
| | | | | | - Gemma Callovini
- NESMOS Department, Sapienza University - Rome, School of Medicine and Psychology, Sant'Andrea Hospital, Via di Grottarossa 1035-1039, 00189 Rome, Italy.,Department of Psychiatry, Federico II University, Naples, Italy
| | - Gloria Angeletti
- NESMOS Department, Sapienza University - Rome, School of Medicine and Psychology, Sant'Andrea Hospital, Via di Grottarossa 1035-1039, 00189 Rome, Italy.,Centro Lucio Bini, Rome, Italy
| | - Antonio Del Casale
- NESMOS Department, Sapienza University - Rome, School of Medicine and Psychology, Sant'Andrea Hospital, Via di Grottarossa 1035-1039, 00189 Rome, Italy.,Department of Psychiatric Rehabilitation, Father A. Mileno Onlus Foundation, San Francesco Institute, Vasto (Chieti), Italy
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Differential effect of quetiapine and lithium on functional connectivity of the striatum in first episode mania. Transl Psychiatry 2018; 8:59. [PMID: 29507281 PMCID: PMC5838223 DOI: 10.1038/s41398-018-0108-8] [Citation(s) in RCA: 54] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/15/2017] [Revised: 10/28/2017] [Accepted: 12/30/2017] [Indexed: 01/01/2023] Open
Abstract
Mood disturbances seen in first-episode mania (FEM) are linked to disturbed functional connectivity of the striatum. Lithium and quetiapine are effective treatments for mania but their neurobiological effects remain largely unknown. We conducted a single-blinded randomized controlled maintenance trial in 61 FEM patients and 30 healthy controls. Patients were stabilized for a minimum of 2 weeks on lithium plus quetiapine then randomly assigned to either lithium (serum level 0.6 mmol/L) or quetiapine (dosed up to 800 mg/day) treatment for 12 months. Resting-state fMRI was acquired at baseline, 3 months (patient only) and 12 months. The effects of treatment group, time and their interaction, on striatal functional connectivity were assessed using voxel-wise general linear modelling. At baseline, FEM patients showed reduced connectivity in the dorsal (p = 0.05) and caudal (p = 0.008) cortico-striatal systems when compared to healthy controls at baseline. FEM patients also showed increased connectivity in a circuit linking the ventral striatum with the medial orbitofrontal cortex, cerebellum and thalamus (p = 0.02). Longitudinally, we found a significant interaction between time and treatment group, such that lithium was more rapid, compared to quetiapine, in normalizing abnormally increased functional connectivity, as assessed at 3-month and 12-month follow-ups. The results suggest that FEM is associated with reduced connectivity in dorsal and caudal corticostriatal systems, as well as increased functional connectivity of ventral striatal systems. Lithium appears to act more rapidly than quetiapine in normalizing hyperconnectivity of the ventral striatum with the cerebellum. The study was registered on the Australian and New Zealand Clinical Trials Registry (ACTRN12607000639426). http://www.anzctr.org.au.
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Abstract
Further understanding of older age bipolar disorder (OABD) may lead to more specific recommendations for treatment adjusted to the specific characteristics and needs caused by age-related somatic and cognitive changes. Late-onset mania has a broad differential diagnosis and requires full psychiatric and somatic work-up, including brain imaging. Research on pharmacotherapy in OABD is limited. First-line treatment of OABD is similar to that for adult bipolar disorder (BD), with specific attention to vulnerability to side effects and somatic comorbidity. Because findings in younger adults with BD cannot be extrapolated to OABD, more research in OABD is warranted.
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Affiliation(s)
- Annemiek Dols
- Department of Old Age Psychiatry, GGZinGeest and VUmc University Medical Center, Amstelveenseweg 589, 1081 JC, Amsterdam, The Netherlands; Mental Health Program, Amsterdam Public Health Research Institute, Van der Boechorstsstraat 7, 1081 BT, Amsterdam, The Netherlands; Mood, Anxiety and Psychosis Program, Amsterdam Neuroscience, De Boelelaan 1085, 1081 HV, Amsterdam, The Netherlands.
| | - Aartjan Beekman
- Department of Old Age Psychiatry, GGZinGeest and VUmc University Medical Center, Amstelveenseweg 589, 1081 JC, Amsterdam, The Netherlands; Mental Health Program, Amsterdam Public Health Research Institute, Van der Boechorstsstraat 7, 1081 BT, Amsterdam, The Netherlands; Mood, Anxiety and Psychosis Program, Amsterdam Neuroscience, De Boelelaan 1085, 1081 HV, Amsterdam, The Netherlands; Department of Psychiatry, GGZinGeest and VUmc University Medical Center, Amstelveenseweg 589, 1081 JC, Amsterdam, The Netherlands
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Li G, Liu P, Andari E, Zhang A, Zhang K. The Role of Amygdala in Patients With Euthymic Bipolar Disorder During Resting State. Front Psychiatry 2018; 9:445. [PMID: 30283367 PMCID: PMC6156348 DOI: 10.3389/fpsyt.2018.00445] [Citation(s) in RCA: 36] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/03/2018] [Accepted: 08/29/2018] [Indexed: 12/20/2022] Open
Abstract
The current study aims to explore the functional changes of the amygdala in patients with euthymic Bipolar Disorder (BD) using resting state fMRI (rs-fMRI). Twenty-one euthymic patients with bipolar disorder and 28 healthy controls participated in this study. Two of the euthymic patients with BD and three of the healthy controls were excluded due to excessive head motion. We found that patients with euthymia (38.79 ± 12.03) show higher fALFF (fractional Amplitude of low-frequency fluctuation) value of the amygdala (t = 2.076, P = 0.044), and lower functional connectivity between the amygdala and supplementary motor area (p < 0.01, GRF corrected) than healthy controls (33.40 ± 8.21). However, euthymic patients did not show a differential activity in ReHo (Regional Homogeneity) and gray matter of the amygdala region as compared to healthy controls. Thus, despite the absence of clinical symptoms in euthymic patients with BD, the amygdala functional activity and its connectivity to other brain regions remain altered. Further investigation of negative emotions and social functioning in euthymic patients with BD are needed and can help pave the way for a better understanding of BD psychopathology.
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Affiliation(s)
- Gaizhi Li
- Shanxi Medical University, The First Hospital of Shanxi Medical University, Taiyuan, China
| | - Penghong Liu
- Shanxi Medical University, The First Hospital of Shanxi Medical University, Taiyuan, China
| | - Elissar Andari
- Department of Psychiatry and Behavioral Sciences, Center for Translational Social Neuroscience, Silvio O. Conte Center for Oxytocin and Social Cognition, Yerkes National Primate Research Center, Emory University School of Medicine, Atlanta, GA, United States
| | - Aixia Zhang
- Shanxi Medical University, The First Hospital of Shanxi Medical University, Taiyuan, China
| | - Kerang Zhang
- Shanxi Medical University, The First Hospital of Shanxi Medical University, Taiyuan, China
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Abstract
Studies suggest a relationship of manic behavior and bipolar disorder (BD) with behavioral variant frontotemporal dementia (bvFTD). The nature of this relationship is unclear. This report presents a patient with initial manic behavior as the main manifestation of familial bvFTD from a novel progranulin (GRN) mutation. In contrast, there are other reports of a long background of BD preceding a diagnosis of bvFTD. A review of the literature and this patient suggest that manic symptoms result from damage to right frontotemporal neural structures from longstanding BD, as well as from bvFTD and other focal neurological disorders. In addition, there is a subgroup of patients with a probable genetic predisposition to both BD and bvFTD.
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Affiliation(s)
- Mario F Mendez
- Department of Neurology.,Department of Psychiatry & Biobehavioral Sciences, David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, CA, USA.,Neurology Service, VA Greater Los Angeles Healthcare System, Los Angeles, CA, USA
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40
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Abstract
PURPOSE OF REVIEW The population over age 60 is growing more rapidly than the general population. Given the projected increase and need for data that can inform treatment, this review provides a brief description of newer publications focused on mania in older-age bipolar disorder (OABD), including epidemiology, diagnosis, and treatments. RECENT FINDINGS Age cutoffs to define OABD range from 50 to 65 years. OABD clinical presentation and course of illness is highly variable, often characterized by mood episode recurrence, medical comorbidity, cognitive deficits, and impaired functioning. There is little pharmacotherapy data on mania in OABD. Lithium and valproate have been tested in a single randomized controlled trial and there is data of more limited quality with other compounds. Treating OABD is challenging due to medical complexity, comorbidity, diminished tolerance to treatment, and a limited evidence base. More data is needed to keep pace with clinical demand.
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Ishida T, Donishi T, Iwatani J, Yamada S, Takahashi S, Ukai S, Shinosaki K, Terada M, Kaneoke Y. Interhemispheric disconnectivity in the sensorimotor network in bipolar disorder revealed by functional connectivity and diffusion tensor imaging analysis. Heliyon 2017; 3:e00335. [PMID: 28721394 PMCID: PMC5486438 DOI: 10.1016/j.heliyon.2017.e00335] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2017] [Revised: 06/12/2017] [Accepted: 06/19/2017] [Indexed: 01/21/2023] Open
Abstract
Background Little is known regarding interhemispheric functional connectivity (FC) abnormalities via the corpus callosum in subjects with bipolar disorder (BD), which might be a key pathophysiological basis of emotional processing alterations in BD. Methods We performed tract-based spatial statistics (TBSS) using diffusion tensor imaging (DTI) in 24 healthy control (HC) and 22 BD subjects. Next, we analyzed the neural networks with independent component analysis (ICA) in 32HC and 25 BD subjects using resting-state functional magnetic resonance imaging. Results In TBSS analysis, we found reduced fractional anisotropy (FA) in the corpus callosum of BD subjects. In ICA, functional within-connectivity was reduced in two clusters in the sensorimotor network (SMN) (right and left primary somatosensory areas) of BD subjects compared with HCs. FC between the two clusters and FA values in the corpus callosum of BD subjects was significantly correlated. Further, the functional within-connectivity was related to Young Mania Rating Scale (YMRS) total scores in the right premotor area in the SMN of BD subjects. Limitations Almost all of our BD subjects were taking several medications which could be a confounding factor. Conclusions Our findings suggest that interhemispheric FC dysfunction in the SMN is associated with the impaired nerve fibers in the corpus callosum, which could be one of pathophysiological bases of emotion processing dysregulation in BD patients.
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Affiliation(s)
- Takuya Ishida
- Department of System Neurophysiology, Graduate School of Wakayama Medical University, 811-1 Kimiidera, Wakayama 641-8509, Japan.,Department of Neuropsychiatry, Graduate School of Wakayama Medical University, 811-1 Kimiidera, Wakayama 641-8509, Japan
| | - Tomohiro Donishi
- Department of System Neurophysiology, Graduate School of Wakayama Medical University, 811-1 Kimiidera, Wakayama 641-8509, Japan
| | - Jun Iwatani
- Department of Neuropsychiatry, Graduate School of Wakayama Medical University, 811-1 Kimiidera, Wakayama 641-8509, Japan
| | - Shinichi Yamada
- Department of Neuropsychiatry, Graduate School of Wakayama Medical University, 811-1 Kimiidera, Wakayama 641-8509, Japan
| | - Shun Takahashi
- Department of Neuropsychiatry, Graduate School of Wakayama Medical University, 811-1 Kimiidera, Wakayama 641-8509, Japan
| | - Satoshi Ukai
- Department of Neuropsychiatry, Graduate School of Wakayama Medical University, 811-1 Kimiidera, Wakayama 641-8509, Japan
| | - Kazuhiro Shinosaki
- Department of Neuropsychiatry, Graduate School of Wakayama Medical University, 811-1 Kimiidera, Wakayama 641-8509, Japan
| | - Masaki Terada
- Wakayama-Minami Radiology Clinic, 870-2 Kimiidera, Wakayama 641-0012, Japan
| | - Yoshiki Kaneoke
- Department of System Neurophysiology, Graduate School of Wakayama Medical University, 811-1 Kimiidera, Wakayama 641-8509, Japan
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Pievani M, Pini L, Ferrari C, Pizzini FB, Boscolo Galazzo I, Cobelli C, Cotelli M, Manenti R, Frisoni GB. Coordinate-Based Meta-Analysis of the Default Mode and Salience Network for Target Identification in Non-Invasive Brain Stimulation of Alzheimer’s Disease and Behavioral Variant Frontotemporal Dementia Networks. J Alzheimers Dis 2017; 57:825-843. [DOI: 10.3233/jad-161105] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Affiliation(s)
- Michela Pievani
- Laboratory Alzheimer’s Neuroimaging and Epidemiology, IRCCS Centro San Giovanni di Dio – Fatebenefratelli, Brescia, Italy
| | - Lorenzo Pini
- Laboratory Alzheimer’s Neuroimaging and Epidemiology, IRCCS Centro San Giovanni di Dio – Fatebenefratelli, Brescia, Italy
- Department of Molecular and Translational Medicine, University of Brescia, Brescia, Italy
| | - Clarissa Ferrari
- Statistics Service, IRCCS Centro San Giovanni di Dio – Fatebenefratelli, Brescia, Italy
| | - Francesca B. Pizzini
- Neuroradiology, Department of Diagnostics and Pathology, Verona University Hospital, Verona, Italy
| | | | - Chiara Cobelli
- Neuropsychology Unit, IRCCS Centro San Giovanni di Dio – Fatebenefratelli, Brescia, Italy
| | - Maria Cotelli
- Neuropsychology Unit, IRCCS Centro San Giovanni di Dio – Fatebenefratelli, Brescia, Italy
| | - Rosa Manenti
- Neuropsychology Unit, IRCCS Centro San Giovanni di Dio – Fatebenefratelli, Brescia, Italy
| | - Giovanni B. Frisoni
- Laboratory Alzheimer’s Neuroimaging and Epidemiology, IRCCS Centro San Giovanni di Dio – Fatebenefratelli, Brescia, Italy
- University Hospitals and University of Geneva, Geneva, Switzerland
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43
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Takamura T, Hanakawa T. Clinical utility of resting-state functional connectivity magnetic resonance imaging for mood and cognitive disorders. J Neural Transm (Vienna) 2017; 124:821-839. [PMID: 28337552 DOI: 10.1007/s00702-017-1710-2] [Citation(s) in RCA: 45] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2016] [Accepted: 03/14/2017] [Indexed: 12/15/2022]
Abstract
Although functional magnetic resonance imaging (fMRI) has long been used to assess task-related brain activity in neuropsychiatric disorders, it has not yet become a widely available clinical tool. Resting-state fMRI (rs-fMRI) has been the subject of recent attention in the fields of basic and clinical neuroimaging research. This method enables investigation of the functional organization of the brain and alterations of resting-state networks (RSNs) in patients with neuropsychiatric disorders. Rs-fMRI does not require participants to perform a demanding task, in contrast to task fMRI, which often requires participants to follow complex instructions. Rs-fMRI has a number of advantages over task fMRI for application with neuropsychiatric patients, for example, although applications of task fMR to participants for healthy are easy. However, it is difficult to apply these applications to patients with psychiatric and neurological disorders, because they may have difficulty in performing demanding cognitive task. Here, we review the basic methodology and analysis techniques relevant to clinical studies, and the clinical applications of the technique for examining neuropsychiatric disorders, focusing on mood disorders (major depressive disorder and bipolar disorder) and dementia (Alzheimer's disease and mild cognitive impairment).
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Affiliation(s)
- T Takamura
- Department of Advanced Neuroimaging, Integrative Brain Imaging Center, National Center of Neurology and Psychiatry, Kodaira, Tokyo, Japan
| | - T Hanakawa
- Department of Advanced Neuroimaging, Integrative Brain Imaging Center, National Center of Neurology and Psychiatry, Kodaira, Tokyo, Japan.
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Syan SK, Minuzzi L, Smith M, Allega OR, Hall GB, Frey BN. Resting state functional connectivity in women with bipolar disorder during clinical remission. Bipolar Disord 2017; 19:97-106. [PMID: 28258639 DOI: 10.1111/bdi.12469] [Citation(s) in RCA: 38] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/21/2016] [Accepted: 11/14/2016] [Indexed: 11/28/2022]
Abstract
OBJECTIVES Periods of euthymia in bipolar disorder (BD) serve as a valuable time to study trait-based pathophysiology. The use of resting state functional connectivity (Rs-FC) can aid in the understanding of BD pathophysiology free of task or mood state biases. The present study investigated two unexplored areas of Rs-FC research in bipolar remission: (i) Rs-FC in women, controlling for the potential influence of premenstrual symptoms, and (ii) the use of both independent component analysis (ICA) and seed-based analysis (SBA) to investigate Rs-FC. METHODS We investigated Rs-FC of the default mode network, meso-paralimbic network and fronto-parietal network in a sample of 32 euthymic women with BD and 36 age-matched controls during the mid-follicular phase of their menstrual cycle. Rs-FC was assessed with ICA and SBA using the posterior cingulate cortex (PCC), amygdala and dorsolateral prefrontal cortex (dlPFC) as seed points for their respective resting state networks. RESULTS In BD, compared to controls, SBAs revealed increased coupling between the PCC and the angular gyrus (P=.002, false discovery rate [FDR]-corrected) and between the right dlPFC and the brainstem (P=.03, FDR-corrected). In BD only, PCC-angular gyrus coupling was correlated with anxiety symptoms. Group differences in Rs-FC using ICA did not survive multiple comparisons. CONCLUSIONS Negative findings from whole-brain ICA Rs-FC may reflect a state of clinical remission in BD. Heightened activation between the PCC and the angular gyrus and between the dlPFC and the brainstem may reflect (i) an abnormal trait integration of affective information during clinical remission and/or (ii) an adaptive compensatory mechanism required for clinical stabilization.
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Affiliation(s)
- Sabrina K Syan
- MiNDS Neuroscience Graduate Program, McMaster University, Hamilton, ON, Canada.,Women's Health Concerns Clinic, St. Joseph's Healthcare Hamilton, ON, Canada
| | - Luciano Minuzzi
- MiNDS Neuroscience Graduate Program, McMaster University, Hamilton, ON, Canada.,Women's Health Concerns Clinic, St. Joseph's Healthcare Hamilton, ON, Canada.,Mood Disorders Program, St. Joseph's Healthcare Hamilton, ON, Canada.,Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, ON, Canada
| | - Mara Smith
- Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, ON, Canada
| | - Olivia R Allega
- MiNDS Neuroscience Graduate Program, McMaster University, Hamilton, ON, Canada.,Women's Health Concerns Clinic, St. Joseph's Healthcare Hamilton, ON, Canada
| | - Geoffrey Bc Hall
- MiNDS Neuroscience Graduate Program, McMaster University, Hamilton, ON, Canada.,Department of Psychology, Neuroscience and Behaviour, McMaster University, Hamilton, ON, Canada
| | - Benicio N Frey
- MiNDS Neuroscience Graduate Program, McMaster University, Hamilton, ON, Canada.,Women's Health Concerns Clinic, St. Joseph's Healthcare Hamilton, ON, Canada.,Mood Disorders Program, St. Joseph's Healthcare Hamilton, ON, Canada.,Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, ON, Canada
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45
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Brady RO, Tandon N, Masters GA, Margolis A, Cohen BM, Keshavan M, Öngür D. Differential brain network activity across mood states in bipolar disorder. J Affect Disord 2017; 207:367-376. [PMID: 27744225 PMCID: PMC5107137 DOI: 10.1016/j.jad.2016.09.041] [Citation(s) in RCA: 51] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/28/2016] [Revised: 08/21/2016] [Accepted: 09/27/2016] [Indexed: 12/20/2022]
Abstract
BACKGROUND This study aimed to identify how the activity of large-scale brain networks differs between mood states in bipolar disorder. The authors measured spontaneous brain activity in subjects with bipolar disorder in mania and euthymia and compared these states to a healthy comparison population. METHODS 23 subjects with bipolar disorder type I in a manic episode, 24 euthymic bipolar I subjects, and 23 matched healthy comparison (HC) subjects underwent resting state fMRI scans. Using an existing parcellation of the whole brain, we measured functional connectivity between brain regions and identified significant differences between groups. RESULTS In unbiased whole-brain analyses, functional connectivity between parietal, occipital, and frontal nodes within the dorsal attention network (DAN) were significantly greater in mania than euthymia or HC subjects. In the default mode network (DMN), connectivity between dorsal frontal nodes and the rest of the DMN differentiated both mood state and diagnosis. LIMITATIONS The bipolar groups were separate cohorts rather than subjects imaged longitudinally across mood states. CONCLUSIONS Bipolar mood states are associated with highly significant alterations in connectivity in two large-scale brain networks. These same networks also differentiate bipolar mania and euthymia from a HC population. State related changes in DAN and DMN connectivity suggest a circuit based pathology underlying cognitive dysfunction as well as activity/reactivity in bipolar mania. Altered activities in neural networks may be biomarkers of bipolar disorder diagnosis and mood state that are accessible to neuromodulation and are promising novel targets for scientific investigation and possible clinical intervention.
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Affiliation(s)
- Roscoe O. Brady
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston, Massachusetts,Psychotic Disorders Division, McLean Hospital, Belmont, Massachusetts,Department of Psychiatry, Harvard Medical School, Boston, Massachusetts,Corresponding author. 75 Fenwood Road, Room 616, Boston, MA 02115. Tel.: 617 754 1261; Fax: 617 754 1250.
| | - Neeraj Tandon
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston, Massachusetts,Department of Psychiatry, Harvard Medical School, Boston, Massachusetts
| | - Grace A. Masters
- Psychotic Disorders Division, McLean Hospital, Belmont, Massachusetts,Department of Psychiatry, Harvard Medical School, Boston, Massachusetts
| | - Allison Margolis
- Psychotic Disorders Division, McLean Hospital, Belmont, Massachusetts,Department of Psychiatry, Harvard Medical School, Boston, Massachusetts
| | - Bruce M. Cohen
- Department of Psychiatry, Harvard Medical School, Boston, Massachusetts,Program for Neuropsychiatric Research, McLean Hospital, Belmont, Massachusetts
| | - Matcheri Keshavan
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston, Massachusetts,Department of Psychiatry, Harvard Medical School, Boston, Massachusetts
| | - Dost Öngür
- Psychotic Disorders Division, McLean Hospital, Belmont, Massachusetts,Department of Psychiatry, Harvard Medical School, Boston, Massachusetts
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46
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Syan SK, Minuzzi L, Smith M, Costescu D, Allega OR, Hall GBC, Frey BN. Brain Structure and Function in Women with Comorbid Bipolar and Premenstrual Dysphoric Disorder. Front Psychiatry 2017; 8:301. [PMID: 29367847 PMCID: PMC5768056 DOI: 10.3389/fpsyt.2017.00301] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/12/2017] [Accepted: 12/18/2017] [Indexed: 12/18/2022] Open
Abstract
INTRODUCTION Hormonal fluctuations associated with female reproductive life events may precipitate or worsen affective episodes in women with bipolar disorder (BD). Previous studies have shown that women with BD report higher rates of premenstrual dysphoric disorder (PMDD) than controls. Further, bipolar women who report premenstrual worsening of mood display a worse course of their bipolar illness. Despite this, the neural correlates of comorbid BD and PMDD have not been investigated. METHODOLOGY Eighty-five [CTRL, n = 25; PMDD, n = 20; BD, n = 21; BD with comorbid PMDD (BDPMDD), n = 19], regularly cycling women, not on hormonal contraception, underwent two MRI scans: during their mid-follicular and late luteal menstrual phases. We investigated resting-state functional connectivity (Rs-FC), cortical thickness, and subcortical volumes of brain regions associated with the pathophysiology of BD and PMDD between groups, in the mid-follicular and late luteal phases of the menstrual cycle. All BD subjects were euthymic for at least 2 months prior to study entry. RESULTS Women in the BDPMDD group displayed greater disruption in biological rhythms and more subthreshold depressive and anxious symptoms through the menstrual cycle compared to other groups. Rs-FC was increased between the L-hippocampus and R-frontal cortex and decreased between the R-hippocampus and R-premotor cortex in BDPMDD vs. BD (FDR-corrected, p < 0.05). Cortical thickness analysis revealed decreased cortical thickness of the L-pericalcarine, L-superior parietal, R-middle temporal, R-rostral middle frontal, and L-superior frontal, as well as increased cortical thickness of the L-superior temporal gyri in BDPMDD compared to BD. We also found increased left-caudate volume in BDPMDD vs. BD (pCORR < 0.05). CONCLUSION Women with BD and comorbid PMDD display a distinct clinical and neurobiological phenotype of BD, which suggests differential sensitivity to endogenous hormones.
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Affiliation(s)
- Sabrina K Syan
- MiNDS Neuroscience Graduate Program, McMaster University, Hamilton, ON, Canada.,Women's Health Concerns Clinic, St. Joseph's Healthcare Hamilton, Hamilton, ON, Canada
| | - Luciano Minuzzi
- Women's Health Concerns Clinic, St. Joseph's Healthcare Hamilton, Hamilton, ON, Canada.,Mood Disorders Program, St. Joseph's Healthcare Hamilton, Hamilton, ON, Canada.,Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, ON, Canada
| | - Mara Smith
- Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, ON, Canada
| | - Dustin Costescu
- Department of Obstetrics and Gynecology, McMaster University, Hamilton, ON, Canada
| | - Olivia R Allega
- Women's Health Concerns Clinic, St. Joseph's Healthcare Hamilton, Hamilton, ON, Canada
| | - Geoffrey B C Hall
- Department of Psychology, Neuroscience and Behaviour, McMaster University, Hamilton, ON, Canada
| | - Benicio N Frey
- Women's Health Concerns Clinic, St. Joseph's Healthcare Hamilton, Hamilton, ON, Canada.,Mood Disorders Program, St. Joseph's Healthcare Hamilton, Hamilton, ON, Canada.,Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, ON, Canada
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47
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Gossink FT, Dols A, Krudop WA, Sikkes SA, Kerssens CJ, Prins ND, Scheltens P, Stek ML, Pijnenburg YAL. Formal Psychiatric Disorders are not Overrepresented in Behavioral Variant Frontotemporal Dementia. J Alzheimers Dis 2016; 51:1249-56. [PMID: 26967225 DOI: 10.3233/jad-151198] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
While psychiatric misdiagnosis is well-known in behavioral variant frontotemporal dementia (bvFTD), a systematic evaluation of standardized criteria for psychiatric disorders in bvFTD is still missing. Our aim was to define frequency and character of DSM-IV psychiatric disorders among patients with probable and definite bvFTD compared to possible bvFTD, other neurodegenerative diseases, and psychiatric diagnoses, using MINI-International Neuropsychiatric Interview. We additionally compared psychiatric prodromes between these groups. Subjects were participants of the late-onset frontal lobe (LOF) study, a longitudinal multicenter study. In each patient, after baseline diagnostic procedure, a neurologist and geriatric psychiatrist made a joint clinical diagnosis. Independently, a structured diagnostic interview according to DSM-IV and ICD-10 criteria (MINI-Plus) was performed by a trained professional blinded to clinical diagnosis. Out of 91 patients, 23 with probable and definite bvFTD, 3 with possible bvFTD, 25 with a non bvFTD neurodegenerative disease, and 40 with a clinical psychiatric diagnosis were included. Overall frequency of formal current and past psychiatric disorders in probable and definite bvFTD (21.7% current, 8.7% past) did not differ from other neurodegenerative diseases (12.0% current, 16.0% past) or possible bvFTD (66.7% current, 66.7% past), but was less than in patients with a clinical psychiatric diagnosis (57.5% current, 62.5% past; p < 0.01). In probable and definite bvFTD unipolar mood disorders were most common. Formally diagnosed psychiatric disorders are not overrepresented in probable bvFTD, suggesting that psychiatric misdiagnosis in bvFTD can be reduced by strictly applying diagnostic criteria. In suspected bvFTD close collaboration between neurologists and psychiatrists will advance diagnostics and subsequent treatment.
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Affiliation(s)
- Flora T Gossink
- Department of Old Age Psychiatry, GGZinGeest/VU University Medical Center, Amsterdam, The Netherlands.,Alzheimer Centre & Department of Neurology, VU University Medical Center, Amsterdam, The Netherlands
| | - Annemieke Dols
- Department of Old Age Psychiatry, GGZinGeest/VU University Medical Center, Amsterdam, The Netherlands.,Alzheimer Centre & Department of Neurology, VU University Medical Center, Amsterdam, The Netherlands
| | - Welmoed A Krudop
- Alzheimer Centre & Department of Neurology, VU University Medical Center, Amsterdam, The Netherlands
| | - Sietske A Sikkes
- Alzheimer Centre & Department of Neurology, VU University Medical Center, Amsterdam, The Netherlands
| | - Cora J Kerssens
- Department of Old Age Psychiatry, GGZinGeest/VU University Medical Center, Amsterdam, The Netherlands
| | - Niels D Prins
- Alzheimer Centre & Department of Neurology, VU University Medical Center, Amsterdam, The Netherlands
| | - Philip Scheltens
- Alzheimer Centre & Department of Neurology, VU University Medical Center, Amsterdam, The Netherlands
| | - Max L Stek
- Department of Old Age Psychiatry, GGZinGeest/VU University Medical Center, Amsterdam, The Netherlands
| | - Yolande A L Pijnenburg
- Department of Old Age Psychiatry, GGZinGeest/VU University Medical Center, Amsterdam, The Netherlands.,Alzheimer Centre & Department of Neurology, VU University Medical Center, Amsterdam, The Netherlands
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48
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Laidi C, Houenou J. Brain functional effects of psychopharmacological treatments in bipolar disorder. Eur Neuropsychopharmacol 2016; 26:1695-1740. [PMID: 27617780 DOI: 10.1016/j.euroneuro.2016.06.006] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/01/2016] [Revised: 06/06/2016] [Accepted: 06/18/2016] [Indexed: 12/29/2022]
Abstract
Functional magnetic resonance imaging (fMRI) studies have contributed to the understanding of bipolar disorder. However the effect of medication on brain activation remains poorly understood. We conducted an extensive literature review on PubMed and ScienceDirect to investigate the influence of medication in fMRI studies, including both longitudinal and cross-sectional studies, which aimed at assessing this influence. Although we reported all reviewed studies, we gave greater emphasis to studies with the most robust methodology. One hundred and forty studies matched our inclusion criteria and forty-seven studies demonstrated an effect of pharmacological treatment on fMRI blood oxygen level dependent (BOLD) signal in adults and children with bipolar disorder. Out of these studies, nineteen were longitudinal. Most of cross-sectional studies suffered from methodological bias, due to post-hoc analyses performed on a limited number of patients and did not find any effect of medication. However, both longitudinal and cross-sectional studies showing an impact of treatment tend to suggest that medication prescribed to patients with bipolar disorder mostly influenced brain activation in prefrontal regions, when measured by tasks involving emotional regulation and processing as well as non-emotional cognitive tasks. FMRI promises to elucidate potential new biomarkers in bipolar disorder and could be used to evaluate the effect of new therapeutic compounds. Further research is needed to disentangle the effect of medication and the influence of the changes in mood state on brain activation in patients with bipolar disorder.
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Affiliation(s)
- Charles Laidi
- APHP, Mondor University Hospitals, DHU PePsy, Psychiatry Department, Créteil, France; INSERM, U955, IMRB, Translational Psychiatry, Créteil, France; Faculté de médecine de Créteil, Université Paris Est Créteil (UPEC), France; Fondation FondaMental, Créteil, France; UNIACT Lab, Psychiatry Team, NeuroSpin, I2BM, CEA Saclay, Gif Sur Yvette, Cedex, France.
| | - Josselin Houenou
- APHP, Mondor University Hospitals, DHU PePsy, Psychiatry Department, Créteil, France; INSERM, U955, IMRB, Translational Psychiatry, Créteil, France; Faculté de médecine de Créteil, Université Paris Est Créteil (UPEC), France; Fondation FondaMental, Créteil, France; UNIACT Lab, Psychiatry Team, NeuroSpin, I2BM, CEA Saclay, Gif Sur Yvette, Cedex, France
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49
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Rive MM, Redlich R, Schmaal L, Marquand AF, Dannlowski U, Grotegerd D, Veltman DJ, Schene AH, Ruhé HG. Distinguishing medication-free subjects with unipolar disorder from subjects with bipolar disorder: state matters. Bipolar Disord 2016; 18:612-623. [PMID: 27870505 DOI: 10.1111/bdi.12446] [Citation(s) in RCA: 41] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/18/2016] [Accepted: 10/01/2016] [Indexed: 01/24/2023]
Abstract
OBJECTIVES Recent studies have indicated that pattern recognition techniques of functional magnetic resonance imaging (fMRI) data for individual classification may be valuable for distinguishing between major depressive disorder (MDD) and bipolar disorder (BD). Importantly, medication may have affected previous classification results as subjects with MDD and BD use different classes of medication. Furthermore, almost all studies have investigated only depressed subjects. Therefore, we focused on medication-free subjects. We additionally investigated whether classification would be mood state independent by including depressed and remitted subjects alike. METHODS We applied Gaussian process classifiers to investigate the discriminatory power of structural MRI (gray matter volumes of emotion regulation areas) and resting-state fMRI (resting-state networks implicated in mood disorders: default mode network [DMN], salience network [SN], and lateralized frontoparietal networks [FPNs]) in depressed (n=42) and remitted (n=49) medication-free subjects with MDD and BD. RESULTS Depressed subjects with MDD and BD could be classified based on the gray matter volumes of emotion regulation areas as well as DMN functional connectivity with 69.1% prediction accuracy. Prediction accuracy using the FPNs and SN did not exceed chance level. It was not possible to discriminate between remitted subjects with MDD and BD. CONCLUSIONS For the first time, we showed that medication-free subjects with MDD and BD can be differentiated based on structural MRI as well as resting-state functional connectivity. Importantly, the results indicated that research concerning diagnostic neuroimaging tools distinguishing between MDD and BD should consider mood state as only depressed subjects with MDD and BD could be correctly classified. Future studies, in larger samples are needed to investigate whether the results can be generalized to medication-naïve or first-episode subjects.
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Affiliation(s)
- Maria M Rive
- Program for Mood Disorders, Department of Psychiatry, Academic Medical Center, University of Amsterdam, Amsterdam, the Netherlands
| | - Ronny Redlich
- Department of Psychiatry, University of Münster, Münster, Germany
| | - Lianne Schmaal
- Department of Psychiatry and Neuroscience, Campus Amsterdam, VU University Medical Center, Amsterdam, the Netherlands
| | - André F Marquand
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, the Netherlands
| | - Udo Dannlowski
- Department of Psychiatry, University of Münster, Münster, Germany
| | | | - Dick J Veltman
- Department of Psychiatry, VU University Medical Center, Amsterdam, the Netherlands
| | - Aart H Schene
- Program for Mood Disorders, Department of Psychiatry, Academic Medical Center, University of Amsterdam, Amsterdam, the Netherlands.,Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, the Netherlands.,Department of Psychiatry, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Henricus G Ruhé
- Program for Mood Disorders, Department of Psychiatry, Academic Medical Center, University of Amsterdam, Amsterdam, the Netherlands.,Department of Psychiatry, Mood and Anxiety Disorders, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
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50
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Jung WH, Prehn K, Fang Z, Korczykowski M, Kable JW, Rao H, Robertson DC. Moral competence and brain connectivity: A resting-state fMRI study. Neuroimage 2016; 141:408-415. [PMID: 27456537 DOI: 10.1016/j.neuroimage.2016.07.045] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2016] [Revised: 07/09/2016] [Accepted: 07/20/2016] [Indexed: 01/09/2023] Open
Abstract
Moral competence (MC) refers to the ability to apply certain moral orientations in a consistent and differentiated manner when judging moral issues. People greatly differ in terms of MC, however, little is known about how these differences are implemented in the brain. To investigate this question, we used functional magnetic resonance imaging and examined resting-state functional connectivity (RSFC) in n=31 individuals with MC scores in the highest 15% of the population and n=33 individuals with MC scores in the lowest 15%, selected from a large sample of 730 Master of Business Administration (MBA) students. Compared to individuals with lower MC, individuals with higher MC showed greater amygdala-ventromedial prefrontal connectivity, which may reflect better ability to cope with emotional conflicts elicited by moral dilemmas. Moreover, individuals with higher MC showed less inter-network connectivity between the amygdalar and fronto-parietal networks, suggesting a more independent operation of these networks. Our findings provide novel insights into how individual differences in moral judgment are associated with RSFC in brain circuits related to emotion processing and cognitive control.
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Affiliation(s)
- Wi Hoon Jung
- Department of Psychology, University of Pennsylvania, Philadelphia, United States
| | - Kristin Prehn
- Department of Neurology & NeuroCure Clinical Research Center, Charité Universitätsmedizin Berlin, Germany
| | - Zhuo Fang
- Center for Functional Neuroimaging, Department of Neurology, University of Pennsylvania, Philadelphia, United States; Laboratory of Applied Brain and Cognitive Sciences, Shanghai International Studies University, Shanghai, China
| | - Marc Korczykowski
- Center for Functional Neuroimaging, Department of Neurology, University of Pennsylvania, Philadelphia, United States; Department of Legal Studies & Business Ethics, The Wharton School, University of Pennsylvania, Philadelphia, United States
| | - Joseph W Kable
- Department of Psychology, University of Pennsylvania, Philadelphia, United States
| | - Hengyi Rao
- Center for Functional Neuroimaging, Department of Neurology, University of Pennsylvania, Philadelphia, United States; Laboratory of Applied Brain and Cognitive Sciences, Shanghai International Studies University, Shanghai, China.
| | - Diana C Robertson
- Department of Legal Studies & Business Ethics, The Wharton School, University of Pennsylvania, Philadelphia, United States.
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