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Huang Y, Li Y, Yuan Y, Zhang X, Yan W, Li T, Niu Y, Xu M, Yan T, Li X, Li D, Xiang J, Wang B, Yan T. Beta-informativeness-diffusion multilayer graph embedding for brain network analysis. Front Neurosci 2024; 18:1303741. [PMID: 38525375 PMCID: PMC10957763 DOI: 10.3389/fnins.2024.1303741] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2023] [Accepted: 02/07/2024] [Indexed: 03/26/2024] Open
Abstract
Brain network analysis provides essential insights into the diagnosis of brain disease. Integrating multiple neuroimaging modalities has been demonstrated to be more effective than using a single modality for brain network analysis. However, a majority of existing brain network analysis methods based on multiple modalities often overlook both complementary information and unique characteristics from various modalities. To tackle this issue, we propose the Beta-Informativeness-Diffusion Multilayer Graph Embedding (BID-MGE) method. The proposed method seamlessly integrates structural connectivity (SC) and functional connectivity (FC) to learn more comprehensive information for diagnosing neuropsychiatric disorders. Specifically, a novel beta distribution mapping function (beta mapping) is utilized to increase vital information and weaken insignificant connections. The refined information helps the diffusion process concentrate on crucial brain regions to capture more discriminative features. To maximize the preservation of the unique characteristics of each modality, we design an optimal scale multilayer brain network, the inter-layer connections of which depend on node informativeness. Then, a multilayer informativeness diffusion is proposed to capture complementary information and unique characteristics from various modalities and generate node representations by incorporating the features of each node with those of their connected nodes. Finally, the node representations are reconfigured using principal component analysis (PCA), and cosine distances are calculated with reference to multiple templates for statistical analysis and classification. We implement the proposed method for brain network analysis of neuropsychiatric disorders. The results indicate that our method effectively identifies crucial brain regions associated with diseases, providing valuable insights into the pathology of the disease, and surpasses other advanced methods in classification performance.
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Affiliation(s)
- Yin Huang
- College of Computer Science and Technology (College of Data Science), Taiyuan University of Technology, Taiyuan, China
| | - Ying Li
- College of Computer Science and Technology (College of Data Science), Taiyuan University of Technology, Taiyuan, China
| | - Yuting Yuan
- College of Computer Science and Technology (College of Data Science), Taiyuan University of Technology, Taiyuan, China
| | - Xingyu Zhang
- College of Computer Science and Technology (College of Data Science), Taiyuan University of Technology, Taiyuan, China
| | - Wenjie Yan
- College of Computer Science and Technology (College of Data Science), Taiyuan University of Technology, Taiyuan, China
| | - Ting Li
- School of Life Science, Beijing Institute of Technology, Beijing, China
| | - Yan Niu
- College of Computer Science and Technology (College of Data Science), Taiyuan University of Technology, Taiyuan, China
| | - Mengzhou Xu
- School of Mechatronical Engineering, Beijing Institute of Technology, Beijing, China
| | - Ting Yan
- Translational Medicine Research Center, Shanxi Medical University, Taiyuan, China
| | - Xiaowen Li
- Computer Information Engineering Institute, Shanxi Technology and Business College, Taiyuan, China
| | - Dandan Li
- College of Computer Science and Technology (College of Data Science), Taiyuan University of Technology, Taiyuan, China
| | - Jie Xiang
- College of Computer Science and Technology (College of Data Science), Taiyuan University of Technology, Taiyuan, China
| | - Bin Wang
- College of Computer Science and Technology (College of Data Science), Taiyuan University of Technology, Taiyuan, China
| | - Tianyi Yan
- School of Mechatronical Engineering, Beijing Institute of Technology, Beijing, China
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Macoveanu J, Mariegaard J, Petersen JZ, Fisher PM, Vinberg M, Jørgensen MB, Knudsen GM, Kessing LV, Miskowiak KW. Neural basis of memory impairments and relation to functional disability in fully or partially remitted patients with affective disorders. Prog Neuropsychopharmacol Biol Psychiatry 2023; 125:110767. [PMID: 37068543 DOI: 10.1016/j.pnpbp.2023.110767] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/18/2022] [Revised: 03/17/2023] [Accepted: 04/09/2023] [Indexed: 04/19/2023]
Abstract
Bipolar disorder (BD) and major depressive disorder (MDD) are associated with cognitive and functional impairment. Cognitive impairment is often associated with dorsal prefrontal cortex (dPFC) hypo-activity, but the neuronal correlates of functional disability is largely unknown. In this study, 91 patients with affective disorders in full or partial remission (BD, n = 67; MDD, n = 24) with objectively verified cognitive impairment and substantial functional disability underwent neuropsychological assessment and functional magnetic resonance imaging (fMRI) scan during which they completed a strategic picture-encoding task. For comparison, 36 matched healthy controls underwent an identical test protocol. Patients showed encoding-related hypo-activity in the dPFC compared to controls. In patients, lower right dlPFC activity was associated with poorer overall functioning and more antipsychotic drug use. In conclusion, memory impairments were underpinned by failure to recruit the dPFC during task performance which was associated with impaired functioning in fully or partially remitted patients with affective disorders. This aberrant neurocircuitry activity has implications for the design of future pro-cognitive interventions that aim to improve not only cognition but also real-world functioning.
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Affiliation(s)
- Julian Macoveanu
- Copenhagen Affective Disorder Research Centre (CADIC), Psychiatric Centre Copenhagen, Frederiksberg Hospital, Hovedvejen 17, Frederiksberg DK-2000, Denmark
| | - Johanna Mariegaard
- Copenhagen Affective Disorder Research Centre (CADIC), Psychiatric Centre Copenhagen, Frederiksberg Hospital, Hovedvejen 17, Frederiksberg DK-2000, Denmark; Department of Psychology, University of Copenhagen, Øster Farimagsgade 2A, Copenhagen DK-1353, Denmark
| | - Jeff Zarp Petersen
- Copenhagen Affective Disorder Research Centre (CADIC), Psychiatric Centre Copenhagen, Frederiksberg Hospital, Hovedvejen 17, Frederiksberg DK-2000, Denmark
| | - Patrick M Fisher
- Neurobiology Research Unit and The Center for Experimental Medicine Neuropharmacology, Neurobiology Research Unit and Center for Integrated Molecular Imaging, Rigshospitalet, Inge Lehmanns Vej 6, Copenhagen DK-2100, Denmark
| | - Maj Vinberg
- Department of Clinical Medicine, University of Copenhagen, Blegdamsvej 3B, Copenhagen DK-2200, Denmark; Mental Health Centre, Northern Zealand, Copenhagen University Hospital - Mental Health Services CPH, Dyrehavevej 48, Hillerød DK-3400, Denmark
| | - Martin Balslev Jørgensen
- Copenhagen Affective Disorder Research Centre (CADIC), Psychiatric Centre Copenhagen, Frederiksberg Hospital, Hovedvejen 17, Frederiksberg DK-2000, Denmark; Department of Clinical Medicine, University of Copenhagen, Blegdamsvej 3B, Copenhagen DK-2200, Denmark
| | - Gitte Moos Knudsen
- Neurobiology Research Unit and The Center for Experimental Medicine Neuropharmacology, Neurobiology Research Unit and Center for Integrated Molecular Imaging, Rigshospitalet, Inge Lehmanns Vej 6, Copenhagen DK-2100, Denmark; Department of Clinical Medicine, University of Copenhagen, Blegdamsvej 3B, Copenhagen DK-2200, Denmark
| | - Lars Vedel Kessing
- Copenhagen Affective Disorder Research Centre (CADIC), Psychiatric Centre Copenhagen, Frederiksberg Hospital, Hovedvejen 17, Frederiksberg DK-2000, Denmark; Department of Clinical Medicine, University of Copenhagen, Blegdamsvej 3B, Copenhagen DK-2200, Denmark
| | - Kamilla Woznica Miskowiak
- Copenhagen Affective Disorder Research Centre (CADIC), Psychiatric Centre Copenhagen, Frederiksberg Hospital, Hovedvejen 17, Frederiksberg DK-2000, Denmark; Department of Psychology, University of Copenhagen, Øster Farimagsgade 2A, Copenhagen DK-1353, Denmark.
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3
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Santarriaga S, Gerlovin K, Layadi Y, Karmacharya R. Human stem cell-based models to study synaptic dysfunction and cognition in schizophrenia: A narrative review. Schizophr Res 2023:S0920-9964(23)00084-1. [PMID: 36925354 PMCID: PMC10500041 DOI: 10.1016/j.schres.2023.02.029] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/21/2022] [Revised: 02/27/2023] [Accepted: 02/28/2023] [Indexed: 03/18/2023]
Abstract
Cognitive impairment is the strongest predictor of functional outcomes in schizophrenia and is hypothesized to result from synaptic dysfunction. However, targeting synaptic plasticity and cognitive deficits in patients remains a significant clinical challenge. A comprehensive understanding of synaptic plasticity and the molecular basis of learning and memory in a disease context can provide specific targets for the development of novel therapeutics targeting cognitive impairments in schizophrenia. Here, we describe the role of synaptic plasticity in cognition, summarize evidence for synaptic dysfunction in schizophrenia and demonstrate the use of patient derived induced-pluripotent stem cells for studying synaptic plasticity in vitro. Lastly, we discuss current advances and future technologies for bridging basic science research of synaptic dysfunction with clinical and translational research that can be used to predict treatment response and develop novel therapeutics.
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Affiliation(s)
- Stephanie Santarriaga
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA; Chemical Biology and Therapeutic Science Program, Broad Institute of MIT and Harvard, Cambridge, MA, USA; Department of Psychiatry, Harvard Medical School, Boston, MA, USA
| | - Kaia Gerlovin
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA; Chemical Biology and Therapeutic Science Program, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Yasmine Layadi
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA; Chimie ParisTech, Université Paris Sciences et Lettres, Paris, France
| | - Rakesh Karmacharya
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA; Chemical Biology and Therapeutic Science Program, Broad Institute of MIT and Harvard, Cambridge, MA, USA; Department of Psychiatry, Harvard Medical School, Boston, MA, USA; Schizophrenia and Bipolar Disorder Program, McLean Hospital, Belmont, MA, USA.
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de Sousa TR, Dt C, Novais F. Exploring the Hypothesis of a Schizophrenia and Bipolar Disorder Continuum: Biological, Genetic and Pharmacologic Data. CNS & NEUROLOGICAL DISORDERS DRUG TARGETS 2023; 22:161-171. [PMID: 34477537 DOI: 10.2174/1871527320666210902164235] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/02/2021] [Revised: 07/19/2021] [Accepted: 08/08/2021] [Indexed: 12/16/2022]
Abstract
Present time nosology has its roots in Kraepelin's demarcation of schizophrenia and bipolar disorder. However, accumulating evidence has shed light on several commonalities between the two disorders, and some authors have advocated for the consideration of a disease continuum. Here, we review previous genetic, biological and pharmacological findings that provide the basis for this conceptualization. There is a cross-disease heritability, and they share single-nucleotide polymorphisms in some common genes. EEG and imaging patterns have a number of similarities, namely reduced white matter integrity and abnormal connectivity. Dopamine, serotonin, GABA and glutamate systems have dysfunctional features, some of which are identical among the disorders. Finally, cellular calcium regulation and mitochondrial function are, also, impaired in the two.
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Affiliation(s)
- Teresa Reynolds de Sousa
- Department of Neurosciences and Mental Health, Centro Hospitalar Universitário Lisboa Norte (CHULN), Hospital de Santa Maria, Lisbon, Portugal
| | - Correia Dt
- Department of Neurosciences and Mental Health, Centro Hospitalar Universitário Lisboa Norte (CHULN), Hospital de Santa Maria, Lisbon, Portugal
- Faculdade de Medicina da Universidade de Lisboa, Lisboa, Portugal
- ISAMB - Instituto de Saúde Ambiental, Lisboa, Portugal
| | - Filipa Novais
- Department of Neurosciences and Mental Health, Centro Hospitalar Universitário Lisboa Norte (CHULN), Hospital de Santa Maria, Lisbon, Portugal
- Faculdade de Medicina da Universidade de Lisboa, Lisboa, Portugal
- ISAMB - Instituto de Saúde Ambiental, Lisboa, Portugal
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5
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Joe P, Clemente JC, Piras E, Wallach DS, Robinson-Papp J, Boka E, Remsen B, Bonner M, Kimhy D, Goetz D, Hoffman K, Lee J, Ruby E, Fendrich S, Gonen O, Malaspina D. An integrative study of the microbiome gut-brain-axis and hippocampal inflammation in psychosis: Persistent effects from mode of birth. Schizophr Res 2022; 247:101-115. [PMID: 34625336 PMCID: PMC8980116 DOI: 10.1016/j.schres.2021.09.019] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/30/2021] [Revised: 09/17/2021] [Accepted: 09/20/2021] [Indexed: 12/20/2022]
Abstract
The mechanism producing psychosis appears to include hippocampal inflammation, which could be associated with the microbiome-gut-brain-axis (MGBS). To test this hypothesis we are conducting a multidisciplinary study, herein described. The procedures are illustrated with testing of a single subject and group level information on the impact of C-section birth are presented. METHOD Study subjects undergo research diagnostic interviews and symptom assessments to be categorized into one of 3 study groups: psychosis, nonpsychotic affective disorder or healthy control. Hippocampal volume and metabolite concentrations are assessed using 3-dimensional, multi-voxel H1 Magnetic Resonance Imaging (MRSI) encompassing all gray matter in the entire hippocampal volume. Rich self-report information is obtained with the PROMIS interview, which was developed by the NIH Commons for research in chronic conditions. Early trauma is assessed and cognition is quantitated using the MATRICS. The method also includes the most comprehensive autonomic nervous system (ANS) battery used to date in psychiatric research. Stool and oral samples are obtained for microbiome assessments and cytokines and other substances are measured in blood samples. RESULTS Group level preliminary data shows that C-section birth is associated with higher concentrations of GLX, a glutamate related hippocampal neurotransmitter in psychotic cases, worse symptoms in affective disorder cases and smaller hippocampal volume in controls. CONCLUSION Mode of birth appears to have persistent influences through adulthood. The methodology described for this study will define pathways through which the MGBA may influence the risk for psychiatric disorders.
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Affiliation(s)
- Peter Joe
- Icahn School of Medicine at Mount Sinai, Department of Psychiatry, New York, NY, USA.
| | - Jose C Clemente
- Icahn School of Medicine at Mount Sinai, Department of Genetics and Genomic Sciences, New York, NY, USA
| | - Enrica Piras
- Icahn School of Medicine at Mount Sinai, Department of Genetics and Genomic Sciences, New York, NY, USA
| | - David S Wallach
- Icahn School of Medicine at Mount Sinai, Department of Genetics and Genomic Sciences, New York, NY, USA
| | | | - Emeka Boka
- Icahn School of Medicine at Mount Sinai, Department of Psychiatry, New York, NY, USA
| | - Brooke Remsen
- Icahn School of Medicine at Mount Sinai, Department of Psychiatry, New York, NY, USA; Icahn School of Medicine at Mount Sinai, Department of Genetics and Genomic Sciences, New York, NY, USA
| | - Mharisi Bonner
- Icahn School of Medicine at Mount Sinai, Department of Psychiatry, New York, NY, USA
| | - David Kimhy
- Icahn School of Medicine at Mount Sinai, Department of Psychiatry, New York, NY, USA
| | - Deborah Goetz
- Icahn School of Medicine at Mount Sinai, Department of Psychiatry, New York, NY, USA
| | - Kevin Hoffman
- Perelman School of Medicine, University of Pennsylvania, Department of Psychiatry, Philadelphia, PA, USA
| | - Jakleen Lee
- Icahn School of Medicine at Mount Sinai, Department of Genetics and Genomic Sciences, New York, NY, USA
| | - Eugene Ruby
- University of California, Los Angeles, Department of Psychology, Los Angeles, CA, USA
| | - Sarah Fendrich
- Icahn School of Medicine at Mount Sinai, Department of Psychiatry, New York, NY, USA; Perelman School of Medicine, University of Pennsylvania, Center for Health Care Incentives & Behavioral Economics, Philadelphia, PA, USA
| | - Oded Gonen
- NYU Langone Medical Center, Department of Radiology, New York, NY, USA
| | - Dolores Malaspina
- Icahn School of Medicine at Mount Sinai, Department of Psychiatry, New York, NY, USA
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6
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El Nagar Z, El Shahawi HH, Effat SM, El Sheikh MM, Adel A, Ibrahim YA, Aufa OM. Single episode brief psychotic disorder versus bipolar disorder: A diffusion tensor imaging and executive functions study. Schizophr Res Cogn 2022; 27:100214. [PMID: 34557386 PMCID: PMC8446778 DOI: 10.1016/j.scog.2021.100214] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2021] [Revised: 08/21/2021] [Accepted: 08/23/2021] [Indexed: 11/29/2022]
Abstract
BACKGROUND Despite fast progress in neuroscientific approaches, the neurobiological continuum links psychotic spectrum, and affective disorder is obscure. White matter WM abnormalities found utilizing Diffusion Tensor Imaging (DTI) showing impaired communication in both disorders have been consistently demonstrated; however, direct comparisons of findings between them are scarce. This study aims to study WM abnormalities in single episode bipolar I disorder, and single episode brief psychotic disorder related to healthy control with the association of executive function. METHODS A cross-sectional case-control study was used to assess 60 subjects divided into 20 patients with single episode bipolar I disorder, 20 individuals with single episode brief psychotic disorder (both groups of patients were in remission), and 20 healthy controls. The present study examined the superior longitudinal fasciculus (SLF), and cingulum bundle fractional anisotropy (FA) determined from DTI images symmetrically and connected these results with cognitive functions as assessed by the trail making test (TMT) and Wisconsin card sorting test (WCST). RESULTS DTI data indicated that the psychotic group had a significant decrease in FA of the right SLF (p-value less than 0.001), left SLF (p-value less than 0.001), and left cingulum (p-value less than 0.001) than the bipolar I group. In terms of executive functioning, the psychotic group performed significantly worse than the bipolar I group on the TMT part B (p-value less than 0.001), the WCST (number of classifications fulfilled) (p-value less than 0.001), and perseverative errors (p-value less than 0.001). CONCLUSION Even after clinical remission, individuals with single episode brief psychotic disorder had more pronounced white matter impairments and executive function deficiencies than individuals with single episode bipolar I disorder.
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Affiliation(s)
- Zeinab El Nagar
- Institute of Psychiatry, Faculty of Medicine, Ain Shams University, Cairo, Egypt
| | - Heba H. El Shahawi
- Institute of Psychiatry, Faculty of Medicine, Ain Shams University, Cairo, Egypt
| | - Safeya M. Effat
- Institute of Psychiatry, Faculty of Medicine, Ain Shams University, Cairo, Egypt
| | - Mona M. El Sheikh
- Institute of Psychiatry, Faculty of Medicine, Ain Shams University, Cairo, Egypt
| | - Ahmed Adel
- Institute of Psychiatry, Faculty of Medicine, Ain Shams University, Cairo, Egypt
| | - Yosra A. Ibrahim
- Radiology Department, Faculty of Medicine, Ain Shams University, Cairo, Egypt
| | - Ola M. Aufa
- Institute of Psychiatry, Faculty of Medicine, Ain Shams University, Cairo, Egypt
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7
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Li J, Tang Y, Womer F, Fan G, Zhou Q, Sun W, Xu K, Wang F. Two patterns of anterior insular cortex functional connectivity in bipolar disorder and schizophrenia. World J Biol Psychiatry 2019; 19:S115-S123. [PMID: 28112029 DOI: 10.1080/15622975.2016.1274051] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
OBJECTIVES Bipolar disorder (BD) and schizophrenia (SZ) share structural abnormalities in the anterior insula cortex (AIC). The AIC appears to have a crucial role in emotional processing and regulation and cognitive control in BD and SZ. METHODS Forty-six participants with BD, 68 with SZ and 66 healthy controls (HC) underwent functional magnetic resonance imaging scanning. Resting-state functional connectivity (rsFC) from AIC subregions (ventral and dorsal) was compared among the three groups. RESULTS Compared to HC group, both BD and SZ groups exhibited increased rsFC from the ventral AIC (vAIC) and dorsal AIC (dAIC) to bilateral frontal pole and thalamus, the left middle frontal gyrus and the hippocampus. Meanwhile, the BD group demonstrated increased rsFC from the vAIC to the perigenual anterior cingulate cortex, the SZ group presented increased rsFC from the vAIC and dAIC to the right caudate. Compared with the BD group, the SZ group showed significantly increased rsFC from the vAIC and dAIC to the left middle frontal gyrus. CONCLUSIONS The shared AIC rsFC abnormalities in both BD and SZ support the importance of the AIC in the common pathophysiology of BD and SZ. There were also disorder-specific features of AIC rsFC, which might implicate potential avenues for differentiating during the early stages.
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Affiliation(s)
- Jian Li
- a Department of Radiology , The First Hospital of China Medical University , Shenyang , Liaoning , PR China
| | - Yanqing Tang
- b Department of Psychiatry , The First Hospital of China Medical University , Shenyang , Liaoning , PR China
| | - Fay Womer
- c Department of Psychiatry , Washington University School of Medicine , St Louis , MO , USA
| | - Guoguang Fan
- a Department of Radiology , The First Hospital of China Medical University , Shenyang , Liaoning , PR China
| | - Qian Zhou
- b Department of Psychiatry , The First Hospital of China Medical University , Shenyang , Liaoning , PR China
| | - Wenge Sun
- a Department of Radiology , The First Hospital of China Medical University , Shenyang , Liaoning , PR China
| | - Ke Xu
- a Department of Radiology , The First Hospital of China Medical University , Shenyang , Liaoning , PR China
| | - Fei Wang
- a Department of Radiology , The First Hospital of China Medical University , Shenyang , Liaoning , PR China.,b Department of Psychiatry , The First Hospital of China Medical University , Shenyang , Liaoning , PR China
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Sahakyan L, Kwapil TR, Lo Y, Jiang L. Examination of relational memory in multidimensional schizotypy. Schizophr Res 2019; 211:36-43. [PMID: 31383512 DOI: 10.1016/j.schres.2019.07.031] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/06/2019] [Revised: 06/15/2019] [Accepted: 07/21/2019] [Indexed: 11/26/2022]
Abstract
We report the first study to examine the association of positive, negative, and disorganized schizotypy with relational memory. Relational memory refers to memory for relations among multiple elements of an experience, and this form of episodic memory is different from memory for individual elements themselves. Using a cornerstone task from the neurocognitive literature that is designed specifically to assess relational memory, we found that negative schizotypy, but not positive or disorganized schizotypy, is associated with impaired relational memory performance. The deficit was observed both in poorer accuracy and slower response time. The results demonstrate the importance of examining schizotypy as a multidimensional construct, and indicate that using a total schizotypy score both obscures the nature of the association with various dimensions of schizotypy and also explains only half of the variance accounted for by taking into consideration the multidimensionality of schizotypy. These results add to previous findings that negative schizotypy is associated with a wide array of episodic memory deficits linked to impairment in retrieval and processing of contextual information.
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Affiliation(s)
- Lili Sahakyan
- Department of Psychology, University of Illinois at Urbana-Champaign, United States of America; Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, United States of America.
| | - Thomas R Kwapil
- Department of Psychology, University of Illinois at Urbana-Champaign, United States of America
| | - Yipei Lo
- Department of Psychology, University of Illinois at Urbana-Champaign, United States of America
| | - Lydia Jiang
- Department of Psychology, University of Illinois at Urbana-Champaign, United States of America
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9
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Mitelman SA. Transdiagnostic neuroimaging in psychiatry: A review. Psychiatry Res 2019; 277:23-38. [PMID: 30639090 DOI: 10.1016/j.psychres.2019.01.026] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/08/2018] [Revised: 01/07/2019] [Accepted: 01/07/2019] [Indexed: 01/10/2023]
Abstract
Transdiagnostic approach has a long history in neuroimaging, predating its recent ascendance as a paradigm for new psychiatric nosology. Various psychiatric disorders have been compared for commonalities and differences in neuroanatomical features and activation patterns, with different aims and rationales. This review covers both structural and functional neuroimaging publications with direct comparison of different psychiatric disorders, including schizophrenia, bipolar disorder, major depressive disorder, autism spectrum disorder, obsessive-compulsive disorder, attention-deficit/hyperactivity disorder, conduct disorder, anorexia nervosa, and bulimia nervosa. Major findings are systematically presented along with specific rationales for each comparison.
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Affiliation(s)
- Serge A Mitelman
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY 10029, USA; Department of Psychiatry, Division of Child and Adolescent Psychiatry, Elmhurst Hospital Center, 79-01 Broadway, Elmhurst, NY 11373, USA.
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10
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Differential effects of unipolar versus bipolar depression on episodic memory updating. Neurobiol Learn Mem 2019; 161:158-168. [PMID: 31004802 DOI: 10.1016/j.nlm.2019.04.008] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2019] [Revised: 04/09/2019] [Accepted: 04/16/2019] [Indexed: 11/23/2022]
Abstract
Episodic memories, when reactivated, can be modified or updated by new learning. Since such dynamic memory processes remain largely unexplored in psychiatric disorders, we examined the impact of depression on episodic memory updating. Unipolar and bipolar depression patients, and age/education matched controls, first learned a set of objects (List-1). Two days later, participants in all three groups were either reminded of the first learning session or not followed by the learning of a new set of objects (List-2). Forty-eight hours later, List-1 recall was impaired in unipolar and bipolar patients compared to control participants. Further, as expected, control participants who received a reminder spontaneously recalled items from List-2 during recall of List-1, indicative of an updated List-1 memory. Such spontaneous intrusions were also seen in the unipolar and bipolar patients that received the reminder, suggesting that memory updating was unaffected in these two patient groups despite impaired recall of List 1. Unexpectedly, we observed a trend towards higher intrusions, albeit statistically insignificant, not only in the reminder but also in the no-reminder subgroups of bipolar patients. We probed this further in a second cohort by testing recall of List-2, which was also impaired in both depression groups. Again bipolar patients showed intrusions, but this time in the reverse order from List-1 into List-2, independent of a reminder. Taken together, despite impaired recall, updating of episodic memories was intact and unidirectional in unipolar depression. In contrast, indiscriminate updating, as evidenced by bidirectional interference between episodic memories, was seen in bipolar depression. These findings reveal a novel distinction between unipolar versus bipolar depression using a reactivation-dependent memory updating paradigm.
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Abstract
Neuropsychiatric illnesses including mood disorders are accompanied by cognitive impairment, which impairs work capacity and quality of life. However, there is a lack of treatment options that would lead to solid and lasting improvement of cognition. This is partially due to the absence of valid and reliable neurocircuitry-based biomarkers for pro-cognitive effects. This systematic review therefore examined the most consistent neural underpinnings of cognitive impairment and cognitive improvement in unipolar and bipolar disorders. We identified 100 studies of the neuronal underpinnings of working memory and executive skills, learning and memory, attention, and implicit learning and 9 studies of the neuronal basis for cognitive improvements. Impairments across several cognitive domains were consistently accompanied by abnormal activity in dorsal prefrontal (PFC) cognitive control regions-with the direction of this activity depending on patients' performance levels-and failure to suppress default mode network (DMN) activity. Candidate cognition treatments seemed to enhance task-related dorsal PFC and temporo-parietal activity when performance increases were observed, and to reduce their activity when performance levels were unchanged. These treatments also attenuated DMN hyper-activity. In contrast, nonspecific cognitive improvement following symptom reduction was typically accompanied by decreased limbic reactivity and reversal of pre-treatment fronto-parietal hyper-activity. Together, the findings highlight some common neural correlates of cognitive impairments and cognitive improvements. Based on this evidence, studies are warranted to examine the reliability and predictive validity of target engagement in the identified neurocircuitries as a biomarker model of pro-cognitive effects.
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GSK3β: a plausible mechanism of cognitive and hippocampal changes induced by erythropoietin treatment in mood disorders? Transl Psychiatry 2018; 8:216. [PMID: 30310078 PMCID: PMC6181907 DOI: 10.1038/s41398-018-0270-z] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/08/2017] [Revised: 06/11/2018] [Accepted: 07/14/2018] [Indexed: 12/16/2022] Open
Abstract
Mood disorders are associated with significant psychosocial and occupational disability. It is estimated that major depressive disorder (MDD) will become the second leading cause of disability worldwide by 2020. Existing pharmacological and psychological treatments are limited for targeting cognitive dysfunctions in mood disorders. However, growing evidence from human and animal studies has shown that treatment with erythropoietin (EPO) can improve cognitive function. A recent study involving EPO-treated patients with mood disorders showed that the neural basis for their cognitive improvements appeared to involve an increase in hippocampal volume. Molecular mechanisms underlying hippocampal changes have been proposed, including the activation of anti-apoptotic, antioxidant, pro-survival and anti-inflammatory signalling pathways. The aim of this review is to describe the potential importance of glycogen synthase kinase 3-beta (GSK3β) as a multi-potent molecular mechanism of EPO-induced hippocampal volume change in mood disorder patients. We first examine published associations between EPO administration, mood disorders, cognition and hippocampal volume. We then highlight evidence suggesting that GSK3β influences hippocampal volume in MDD patients, and how this could assist with targeting more precise treatments particularly for cognitive deficits in patients with mood disorders. We conclude by suggesting how this developing area of research can be further advanced, such as using pharmacogenetic studies of EPO treatment in patients with mood disorders.
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A Role for Phosphodiesterase 11A (PDE11A) in the Formation of Social Memories and the Stabilization of Mood. ADVANCES IN NEUROBIOLOGY 2018; 17:201-230. [PMID: 28956334 DOI: 10.1007/978-3-319-58811-7_8] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
The most recently discovered 3',5'-cyclic nucleotide phosphodiesterase family is the Phosphodiesterase 11 (PDE11) family, which is encoded by a single gene PDE11A. PDE11A is a dual-specific PDE, breaking down both cAMP and cGMP. There are four PDE11A splice variants (PDE11A1-4) with distinct tissue expression profiles and unique N-terminal regulatory regions, suggesting that each isoform could be individually targeted with a small molecule or biologic. PDE11A4 is the PDE11A isoform expressed in brain and is found in the hippocampal formation of humans and rodents. Studies in rodents show that PDE11A4 mRNA expression in brain is, in fact, restricted to the hippocampal formation (CA1, possibly CA2, subiculum, and the adjacently connected amygdalohippocampal area). Within the hippocampal formation of rodents, PDE11A4 protein is expressed in neurons but not astrocytes, with a distribution across nuclear, cytoplasmic, and membrane compartments. This subcellular localization of PDE11A4 is altered in response to social experience in mouse, and in vitro studies show the compartmentalization of PDE11A4 is controlled, at least in part, by homodimerization and N-terminal phosphorylation. PDE11A4 expression dramatically increases in the hippocampus with age in the rodent hippocampus, from early postnatal life to late aging, suggesting PDE11A4 function may evolve across the lifespan. Interestingly, PDE11A4 protein shows a three to tenfold enrichment in the rodent ventral hippocampal formation (VHIPP; a.k.a. anterior in primates) versus dorsal hippocampal formation (DHIPP). Consistent with this enrichment in VHIPP, studies in knockout mice show that PDE11A regulates the formation of social memories and the stabilization of mood and is a critical mechanism by which social experience feeds back to modify the brain and subsequent social behaviors. PDE11A4 likely controls behavior by regulating hippocampal glutamatergic, oxytocin, and cytokine signaling, as well as protein translation. Given its unique tissue distribution and relatively selective effects on behavior, PDE11A may represent a novel therapeutic target for neuropsychiatric, neurodevelopmental, or age-related disorders. Therapeutically targeting PDE11A4 may be a way to selectively restore aberrant cyclic nucleotide signaling in the hippocampal formation while leaving the rest of the brain and periphery untouched, thus, relieving deficits while avoiding unwanted side effects.
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Birur B, Kraguljac NV, Shelton RC, Lahti AC. Brain structure, function, and neurochemistry in schizophrenia and bipolar disorder-a systematic review of the magnetic resonance neuroimaging literature. NPJ SCHIZOPHRENIA 2017; 3:15. [PMID: 28560261 PMCID: PMC5441538 DOI: 10.1038/s41537-017-0013-9] [Citation(s) in RCA: 130] [Impact Index Per Article: 18.6] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/04/2016] [Revised: 01/17/2017] [Accepted: 01/24/2017] [Indexed: 12/18/2022]
Abstract
Since Emil Kraepelin's conceptualization of endogenous psychoses as dementia praecox and manic depression, the separation between primary psychotic disorders and primary affective disorders has been much debated. We conducted a systematic review of case-control studies contrasting magnetic resonance imaging studies in schizophrenia and bipolar disorder. A literature search in PubMed of studies published between January 2005 and December 2016 was conducted, and 50 structural, 29 functional, 7 magnetic resonance spectroscopy, and 8 combined imaging and genetic studies were deemed eligible for systematic review. Structural neuroimaging studies suggest white matter integrity deficits that are consistent across the illnesses, while gray matter reductions appear more widespread in schizophrenia compared to bipolar disorder. Spectroscopy studies in cortical gray matter report evidence of decreased neuronal integrity in both disorders. Functional neuroimaging studies typically report similar functional architecture of brain networks in healthy controls and patients across the psychosis spectrum, but find differential extent of alterations in task related activation and resting state connectivity between illnesses. The very limited imaging-genetic literature suggests a relationship between psychosis risk genes and brain structure, and possible gene by diagnosis interaction effects on functional imaging markers. While the existing literature suggests some shared and some distinct neural markers in schizophrenia and bipolar disorder, it will be imperative to conduct large, well designed, multi-modal neuroimaging studies in medication-naïve first episode patients that will be followed longitudinally over the course of their illness in an effort to advance our understanding of disease mechanisms.
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Affiliation(s)
- Badari Birur
- Department of Psychiatry and Behavioral Neurobiology, University of Alabama at Birmingham, Birmingham, AL USA
| | - Nina Vanessa Kraguljac
- Department of Psychiatry and Behavioral Neurobiology, University of Alabama at Birmingham, Birmingham, AL USA
| | - Richard C. Shelton
- Department of Psychiatry and Behavioral Neurobiology, University of Alabama at Birmingham, Birmingham, AL USA
| | - Adrienne Carol Lahti
- Department of Psychiatry and Behavioral Neurobiology, University of Alabama at Birmingham, Birmingham, AL USA
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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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Wang J, Qu S, Wang W, Guo L, Zhang K, Chang S, Wang J. A combined analysis of genome-wide expression profiling of bipolar disorder in human prefrontal cortex. J Psychiatr Res 2016; 82:23-9. [PMID: 27459029 DOI: 10.1016/j.jpsychires.2016.07.016] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/30/2016] [Revised: 07/12/2016] [Accepted: 07/15/2016] [Indexed: 01/29/2023]
Abstract
Numbers of gene expression profiling studies of bipolar disorder have been published. Besides different array chips and tissues, variety of the data processes in different cohorts aggravated the inconsistency of results of these genome-wide gene expression profiling studies. By searching the gene expression databases, we obtained six data sets for prefrontal cortex (PFC) of bipolar disorder with raw data and combinable platforms. We used standardized pre-processing and quality control procedures to analyze each data set separately and then combined them into a large gene expression matrix with 101 bipolar disorder subjects and 106 controls. A standard linear mixed-effects model was used to calculate the differentially expressed genes (DEGs). Multiple levels of sensitivity analyses and cross validation with genetic data were conducted. Functional and network analyses were carried out on basis of the DEGs. In the result, we identified 198 unique differentially expressed genes in the PFC of bipolar disorder and control. Among them, 115 DEGs were robust to at least three leave-one-out tests or different pre-processing methods; 51 DEGs were validated with genetic association signals. Pathway enrichment analysis showed these DEGs were related with regulation of neurological system, cell death and apoptosis, and several basic binding processes. Protein-protein interaction network further identified one key hub gene. We have contributed the most comprehensive integrated analysis of bipolar disorder expression profiling studies in PFC to date. The DEGs, especially those with multiple validations, may denote a common signature of bipolar disorder and contribute to the pathogenesis of disease.
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Affiliation(s)
- Jinglu Wang
- The Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China; University of Chinese Academy of Sciences, Beijing, China
| | - Susu Qu
- The Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China; University of Chinese Academy of Sciences, Beijing, China
| | - Weixiao Wang
- The Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China; University of Chinese Academy of Sciences, Beijing, China
| | - Liyuan Guo
- The Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
| | - Kunlin Zhang
- The Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
| | - Suhua Chang
- The Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China.
| | - Jing Wang
- The Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China.
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17
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Miskowiak KW, Macoveanu J, Vinberg M, Assentoft E, Randers L, Harmer CJ, Ehrenreich H, Paulson OB, Knudsen GM, Siebner HR, Kessing LV. Effects of erythropoietin on memory-relevant neurocircuitry activity and recall in mood disorders. Acta Psychiatr Scand 2016; 134:249-59. [PMID: 27259062 DOI: 10.1111/acps.12597] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 05/09/2016] [Indexed: 12/23/2022]
Abstract
OBJECTIVE Erythropoietin (EPO) improves verbal memory and reverses subfield hippocampal volume loss across depression and bipolar disorder (BD). This study aimed to investigate with functional magnetic resonance imaging (fMRI) whether these effects were accompanied by functional changes in memory-relevant neuro-circuits in this cohort. METHOD Eighty-four patients with treatment-resistant unipolar depression who were moderately depressed or BD in remission were randomized to eight weekly EPO (40 000 IU) or saline infusions in a double-blind, parallel-group design. Participants underwent whole-brain fMRI at 3T, mood ratings, and blood tests at baseline and week 14. During fMRI, participants performed a picture encoding task followed by postscan recall. RESULTS Sixty-two patients had complete data (EPO: N = 32, saline: N = 30). EPO improved picture recall and increased encoding-related activity in dorsolateral prefrontal cortex (dlPFC) and temporo-parietal regions, but not in hippocampus. Recall correlated with activity in the identified dlPFC and temporo-parietal regions at baseline, and change in recall correlated with activity change in these regions from baseline to follow-up across the entire cohort. The effects of EPO were not correlated with change in mood, red blood cells, blood pressure, or medication. CONCLUSION The findings highlight enhanced encoding-related dlPFC and temporo-parietal activity as key neuronal underpinnings of EPO-associated memory improvement.
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Affiliation(s)
- K W Miskowiak
- Psychiatric Centre Copenhagen, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark.,Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital Hvidovre, Hvidovre, Denmark
| | - J Macoveanu
- Psychiatric Centre Copenhagen, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark.,Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital Hvidovre, Hvidovre, Denmark.,Center for Integrated Molecular Brain Imaging, Rigshospitalet, Copenhagen, Denmark
| | - M Vinberg
- Psychiatric Centre Copenhagen, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
| | - E Assentoft
- Psychiatric Centre Copenhagen, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
| | - L Randers
- Psychiatric Centre Copenhagen, Copenhagen University Hospital Bispebjerg, Copenhagen, Denmark
| | - C J Harmer
- Department of Psychiatry, University of Oxford, Oxford, UK
| | - H Ehrenreich
- Clinical Neuroscience, Max Planck Institute of Experimental Medicine, Göttingen, Germany
| | - O B Paulson
- Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital Hvidovre, Hvidovre, Denmark.,Center for Integrated Molecular Brain Imaging, Rigshospitalet, Copenhagen, Denmark.,Neurobiology Research Unit, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
| | - G M Knudsen
- Center for Integrated Molecular Brain Imaging, Rigshospitalet, Copenhagen, Denmark.,Neurobiology Research Unit, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
| | - H R Siebner
- Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital Hvidovre, Hvidovre, Denmark.,Center for Integrated Molecular Brain Imaging, Rigshospitalet, Copenhagen, Denmark.,Department of Neurology, Copenhagen University Hospital Bispebjerg, Copenhagen, Denmark
| | - L V Kessing
- Psychiatric Centre Copenhagen, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
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Hegde S, Ji H, Oliver D, Patel NS, Poupore N, Shtutman M, Kelly MP. PDE11A regulates social behaviors and is a key mechanism by which social experience sculpts the brain. Neuroscience 2016; 335:151-69. [PMID: 27544407 DOI: 10.1016/j.neuroscience.2016.08.019] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2016] [Revised: 08/09/2016] [Accepted: 08/09/2016] [Indexed: 01/19/2023]
Abstract
Despite the fact that appropriate social behaviors are vital to thriving in one's environment, little is understood of the molecular mechanisms controlling social behaviors or how social experience sculpts these signaling pathways. Here, we determine if Phosphodiesterase 11A (PDE11A), an enzyme that is enriched in the ventral hippocampal formation (VHIPP) and that breaks down cAMP and cGMP, regulates social behaviors. PDE11 wild-type (WT), heterozygous (HT), and knockout (KO) mice were tested in various social approach assays and gene expression differences were measured by RNA sequencing. The effect of social isolation on PDE11A4 compartmentalization and subsequent social interactions and social memory was also assessed. Deletion of PDE11A triggered age- and sex-dependent deficits in social approach in specific social contexts but not others. Mice appear to detect altered social behaviors of PDE11A KO mice, because C57BL/6J mice prefer to spend time with a sex-matched PDE11A WT vs. its KO littermate; whereas, a PDE11A KO prefers to spend time with a novel PDE11A KO vs. its WT littermate. Not only is PDE11A required for intact social interactions, we found that 1month of social isolation vs. group housing decreased PDE11A4 protein expression specifically within the membrane fraction of VHIPP. This isolation-induced decrease in PDE11A4 expression appears functional because social isolation impairs subsequent social approach behavior and social memory in a PDE11A genotype-dependent manner. Pathway analyses following RNA sequencing suggests PDE11A is a key regulator of the oxytocin pathway and membrane signaling, consistent with its pivotal role in regulating social behavior.
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Affiliation(s)
- Shweta Hegde
- Department of Pharmacology, Physiology & Neuroscience, University of South Carolina School of Medicine, Columbia, SC 29209, United States
| | - Hao Ji
- Department of Drug Discovery and Biomedical Sciences, South Carolina College of Pharmacy, University of South Carolina, Columbia 29208, United States
| | - David Oliver
- Department of Drug Discovery and Biomedical Sciences, South Carolina College of Pharmacy, University of South Carolina, Columbia 29208, United States
| | - Neema S Patel
- Department of Pharmacology, Physiology & Neuroscience, University of South Carolina School of Medicine, Columbia, SC 29209, United States
| | - Nicolas Poupore
- Department of Pharmacology, Physiology & Neuroscience, University of South Carolina School of Medicine, Columbia, SC 29209, United States
| | - Michael Shtutman
- Department of Drug Discovery and Biomedical Sciences, South Carolina College of Pharmacy, University of South Carolina, Columbia 29208, United States
| | - Michy P Kelly
- Department of Pharmacology, Physiology & Neuroscience, University of South Carolina School of Medicine, Columbia, SC 29209, United States
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Satterthwaite TD, Wolf DH, Calkins ME, Vandekar SN, Erus G, Ruparel K, Roalf DR, Linn KA, Elliott MA, Moore TM, Hakonarson H, Shinohara RT, Davatzikos C, Gur RC, Gur RE. Structural Brain Abnormalities in Youth With Psychosis Spectrum Symptoms. JAMA Psychiatry 2016; 73:515-24. [PMID: 26982085 PMCID: PMC5048443 DOI: 10.1001/jamapsychiatry.2015.3463] [Citation(s) in RCA: 93] [Impact Index Per Article: 11.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
IMPORTANCE Structural brain abnormalities are prominent in psychotic disorders, including schizophrenia. However, it is unclear when aberrations emerge in the disease process and if such deficits are present in association with less severe psychosis spectrum (PS) symptoms in youth. OBJECTIVE To investigate the presence of structural brain abnormalities in youth with PS symptoms. DESIGN, SETTING, AND PARTICIPANTS The Philadelphia Neurodevelopmental Cohort is a prospectively accrued, community-based sample of 9498 youth who received a structured psychiatric evaluation. A subsample of 1601 individuals underwent neuroimaging, including structural magnetic resonance imaging, at an academic and children's hospital health care network between November 1, 2009, and November 30, 2011. MAIN OUTCOMES AND MEASURES Measures of brain volume derived from T1-weighted structural neuroimaging at 3 T. Analyses were conducted at global, regional, and voxelwise levels. Regional volumes were estimated with an advanced multiatlas regional segmentation procedure, and voxelwise volumetric analyses were conducted as well. Nonlinear developmental patterns were examined using penalized splines within a general additive model. Psychosis spectrum (PS) symptom severity was summarized using factor analysis and evaluated dimensionally. RESULTS Following exclusions due to comorbidity and image quality assurance, the final sample included 791 participants aged youth 8 to 22 years. Fifty percent (n = 393) were female. After structured interviews, 391 participants were identified as having PS features (PS group) and 400 participants were identified as typically developing comparison individuals without significant psychopathology (TD group). Compared with the TD group, the PS group had diminished whole-brain gray matter volume (P = 1.8 × 10-10) and expanded white matter volume (P = 2.8 × 10-11). Voxelwise analyses revealed significantly lower gray matter volume in the medial temporal lobe (maximum z score = 5.2 and cluster size of 1225 for the right and maximum z score = 4.5 and cluster size of 310 for the left) as well as in frontal, temporal, and parietal cortex. Volumetric reduction in the medial temporal lobe was correlated with PS symptom severity. CONCLUSIONS AND RELEVANCE Structural brain abnormalities that have been commonly reported in adults with psychosis are present early in life in youth with PS symptoms and are not due to medication effects. Future longitudinal studies could use the presence of such abnormalities in conjunction with clinical presentation, cognitive profile, and genomics to predict risk and aid in stratification to guide early interventions.
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Affiliation(s)
| | - Daniel H Wolf
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia
| | - Monica E Calkins
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia
| | - Simon N Vandekar
- Department of Biostatistics and Clinical Epidemiology, University of Pennsylvania, Philadelphia
| | - Guray Erus
- Department of Radiology, University of Pennsylvania, Philadelphia
| | - Kosha Ruparel
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia
| | - David R Roalf
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia
| | - Kristin A Linn
- Department of Biostatistics and Clinical Epidemiology, University of Pennsylvania, Philadelphia
| | - Mark A Elliott
- Department of Radiology, University of Pennsylvania, Philadelphia
| | - Tyler M Moore
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia
| | - Hakon Hakonarson
- Center for Applied Genomics, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania
| | - Russell T Shinohara
- Department of Biostatistics and Clinical Epidemiology, University of Pennsylvania, Philadelphia
| | | | - Ruben C Gur
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia3Department of Radiology, University of Pennsylvania, Philadelphia
| | - Raquel E Gur
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia3Department of Radiology, University of Pennsylvania, Philadelphia
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20
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Brandt CL, Eichele T, Melle I, Sundet K, Server A, Agartz I, Hugdahl K, Jensen J, Andreassen OA. Working memory networks and activation patterns in schizophrenia and bipolar disorder: comparison with healthy controls. Br J Psychiatry 2015; 204:290-8. [PMID: 24434074 DOI: 10.1192/bjp.bp.113.129254] [Citation(s) in RCA: 54] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Abstract
BACKGROUND Schizophrenia and bipolar disorder are severe mental disorders with overlapping genetic and clinical characteristics, including cognitive impairments. An important question is whether these disorders also have overlapping neuronal deficits. AIMS To determine whether large-scale brain networks associated with working memory, as measured with functional magnetic resonance imaging (fMRI), are the same in both schizophrenia and bipolar disorder, and how they differ from those in healthy individuals. METHOD Patients with schizophrenia (n = 100) and bipolar disorder (n = 100) and a healthy control group (n = 100) performed a 2-back working memory task while fMRI data were acquired. The imaging data were analysed using independent component analysis to extract large-scale networks of task-related activations. RESULTS Similar working memory networks were activated in all groups. However, in three out of nine networks related to the experimental task there was a graded response difference in fMRI signal amplitudes, where patients with schizophrenia showed greater activation than those with bipolar disorder, who in turn showed more activation than healthy controls. Secondary analysis of the patient groups showed that these activation patterns were associated with history of psychosis and current elevated mood in bipolar disorder. CONCLUSIONS The same brain networks were related to working memory in schizophrenia, bipolar disorder and controls. However, some key networks showed a graded hyperactivation in the two patient groups, in line with a continuum of neuronal abnormalities across psychotic disorders.
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Affiliation(s)
- Christine Lycke Brandt
- Christine Lycke Brandt, MSc, K.G. Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo, and Division of Mental Health and Addiction, Oslo University Hospital, Oslo; Tom Eichele, MD, PhD, Department of Biological and Medical Psychology, University of Bergen, Bergen; Ingrid Melle, MD, PhD, K.G. Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo, and Division of Mental Health and Addiction, Oslo University Hospital, Oslo; Kjetil Sundet, PhD, Department of Psychology, University of Oslo, K.G. Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo, and Division of Mental Health and Addiction, Oslo University Hospital, Oslo; Andrés Server, MD, Section of Neuroradiology, Department of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo; Ingrid Agartz, MD, PhD, K.G. Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo, and Department of Psychiatric Research, Diakonhjemmet Hospital, Oslo, Norway, and Department of Clinical Neuroscience, Psychiatry Section, Karolinska Institute, Stockholm, Sweden; Kenneth Hugdahl, PhD, Department of Biological and Medical Psychology, University of Bergen, and Division of Psychiatry, Department of Radiology, Haukeland University Hospital, Bergen, Norway; Jimmy Jensen, PhD, Centre for Psychology, Kristianstad University, Kristianstad, Sweden, K.G. Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo and Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway; Ole A. Andreassen, MD, PhD, K.G. Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo, and Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
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21
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Heckers S, Konradi C. GABAergic mechanisms of hippocampal hyperactivity in schizophrenia. Schizophr Res 2015; 167:4-11. [PMID: 25449711 PMCID: PMC4402105 DOI: 10.1016/j.schres.2014.09.041] [Citation(s) in RCA: 198] [Impact Index Per Article: 22.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/16/2014] [Revised: 09/18/2014] [Accepted: 09/22/2014] [Indexed: 11/24/2022]
Abstract
Schizophrenia is associated with abnormalities of hippocampal structure and function. Neuroimaging studies have shown that the hippocampus is hyperactive in schizophrenia. Here we explore GABAergic mechanisms of this hippocampal hyperactivity. The initial evidence for GABAergic abnormalities of the hippocampus in schizophrenia came from post-mortem studies of interneuron number, protein expression, and gene expression. These studies revealed marked decreases in gene and protein expression of somatostatin-positive and parvalbumin-positive interneurons, and indicated reduced interneuron numbers. Animal studies of decreased parvalbumin and NMDA-receptor function have shown that selective abnormalities of hippocampal interneurons mimic some of the cognitive deficits and clinical features of schizophrenia. The post-mortem and animal studies are consistent with the neuroimaging finding of increased hippocampal activity in schizophrenia, which can explain some of the psychotic symptoms and cognitive deficits. Taken together, these findings may guide the development of biomarkers and the development of new treatments for psychosis.
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Affiliation(s)
- Stephan Heckers
- Department of Psychiatry, Vanderbilt University, 1601 23rd Avenue South, Room 3060, Nashville, TN 37212, United States.
| | - Christine Konradi
- Department of Pharmacology, Vanderbilt University, Nashville, TN 37212, USA
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22
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Hippocampal, amygdala and nucleus accumbens volume in first-episode schizophrenia patients and individuals at high familial risk: A cross-sectional comparison. Schizophr Res 2015; 165:45-51. [PMID: 25864953 DOI: 10.1016/j.schres.2015.03.024] [Citation(s) in RCA: 36] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/28/2014] [Revised: 03/21/2015] [Accepted: 03/22/2015] [Indexed: 11/21/2022]
Abstract
It is unknown whether brain changes occur prior to onset of schizophrenia or after it develops. Prospective familial high risk studies provide a good method to investigate this. In the Edinburgh High Risk Study, structural MRI scans of 150 young individuals at familial high risk of schizophrenia, 34 patients with first-episode schizophrenia and 36 matched controls were obtained. Of the high risk participants with scans suitable for analysis, 17 developed schizophrenia after the scans were taken, whilst 57 experienced isolated or sub-clinical psychotic symptoms, and 70 remained well. We used Freesurfer to extract volumetric measurements of the hippocampus, amygdala and nucleus accumbens with the aim of assessing whether any alterations found were present in all those at high risk, or selectively in the high risk cohort based on future clinical outcome, or only in those experiencing their first-episode of psychosis. We found no significant differences in any examined regions between controls and those at high risk, or between those at high risk who later developed schizophrenia and those who remained well. However, patients with first-episode schizophrenia demonstrated significant volumetric reductions in the bilateral hippocampus, left amygdala, and right nucleus accumbens compared to high risk individuals and healthy controls, which were not significantly associated with the intake of anti-psychotic medication or duration of illness. We found that patients had significantly smaller left amygdalae and bilateral hippocampus compared to HR[ill]. Our findings suggest that volumetric reductions of the hippocampus, amygdala and nucleus accumbens occur early in the first-episode of psychosis. The apparent absence of high risk versus control differences we found using Freesurfer is at odds with our previous studies conducted on the same sample, and possible methodological reasons for these apparent discrepancies are discussed.
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Hippocampal structure and function in individuals with bipolar disorder: a systematic review. J Affect Disord 2015; 174:113-25. [PMID: 25496759 DOI: 10.1016/j.jad.2014.11.001] [Citation(s) in RCA: 68] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/03/2014] [Revised: 10/15/2014] [Accepted: 11/02/2014] [Indexed: 12/31/2022]
Abstract
INTRODUCTION Bipolar disorder (BD) is a psychiatric disorder accompanied by deficits in declarative memory. Given the importance of the hippocampus in declarative memory, it is not surprising that BD patients have been reported to show hippocampal abnormalities. OBJECTIVES Review evidence about structural and functional hippocampal abnormalities in BD. METHODS Systematic review of studies comparing BD patients and healthy controls with respect to hippocampal structure or function. RESULTS Twenty-five studies were included, together involving 1043 patients, 21 of which compared patients to controls. Decrease in hippocampal volume was found in four of 18 studies using adult samples, and two of three samples using adolescents. Four studies revealed localized hippocampal deficits. Meta-analysis revealed a significant but small effect with lower hippocampal volumes when comparing all BD patients with controls. Lithium treatment was associated with larger hippocampal volumes across studies. The three functional studies yielded contradictory evidence. LIMITATIONS Studies were only cross-sectional in nature and all used MRI or fMRI to investigate hippocampal volume or function. Heterogeneous patients groups and different methodologies for hippocampal segmentation, may have contributed to difficulties when comparing the different studies. CONCLUSIONS There seems to be a small reduction in hippocampal volume in BD, which perhaps is more pronounced in early-onset BD and is counteracted by a neuroprotective effect of lithium treatment. However, how these structural abnormalities relate to functional deficits is largely unclear. Given the few functional neuroimaging studies and given the lack of congruence in these results, further investigation of especially hippocampal function in BD is recommended.
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Kumar J, Iwabuchi S, Oowise S, Balain V, Palaniyappan L, Liddle PF. Shared white-matter dysconnectivity in schizophrenia and bipolar disorder with psychosis. Psychol Med 2015; 45:759-70. [PMID: 25089761 PMCID: PMC4556063 DOI: 10.1017/s0033291714001810] [Citation(s) in RCA: 69] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/24/2023]
Abstract
BACKGROUND There is an appreciable overlap in the clinical presentation, epidemiology and treatment response of the two major psychotic disorders - schizophrenia and bipolar disorder. Nevertheless, the shared neurobiological correlates of these two disorders are still elusive. Using diffusion tensor imaging (DTI), we sought to identify brain regions which share altered white-matter connectivity across a clinical spectrum of psychotic disorders. METHOD A sample of 41 healthy controls, 62 patients in a clinically stable state of an established psychotic disorder (40 with schizophrenia, 22 with bipolar disorder) were studied using DTI. Tract-based spatial statistics (TBSS) was used in order to study group differences between patients with psychosis and healthy controls using fractional anisotropy (FA). Probabilistic tractography was used in order to visualize the clusters that showed significant differences between these two groups. RESULTS The TBSS analysis revealed five clusters (callosal, posterior thalamic/optic, paralimbic, fronto-occipital) with reduced FA in psychosis. This reduction in FA was associated with an increase in radial diffusivity and a decrease in mode of anisotropy. Factor analysis revealed a single white-matter integrity factor that predicted social and occupational functioning scores in patients irrespective of the diagnostic categorization. CONCLUSIONS Our results show that a shared white-matter dysconnectivity links the two major psychotic disorders. These microstructural abnormalities predict functional outcome better than symptom-based diagnostic boundaries during a clinically stable phase of illness, highlighting the importance of seeking shared neurobiological factors that underlie the clinical spectrum of psychosis.
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Affiliation(s)
- Jyothika Kumar
- Translational Neuroimaging, Division of Psychiatry, Institute of Mental Health, University of Nottingham, Nottingham, UK
| | - Sarina Iwabuchi
- Translational Neuroimaging, Division of Psychiatry, Institute of Mental Health, University of Nottingham, Nottingham, UK
| | - Shamuz Oowise
- The Forensic Hospital, Justice and Forensic Mental Health Network, Sydney, Australia
| | | | - Lena Palaniyappan
- Translational Neuroimaging, Division of Psychiatry, Institute of Mental Health, University of Nottingham, Nottingham, UK
- Nottinghamshire Healthcare NHS Trust, Nottingham, UK
| | - Peter F Liddle
- Translational Neuroimaging, Division of Psychiatry, Institute of Mental Health, University of Nottingham, Nottingham, UK
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Regenbogen C, Kellermann T, Seubert J, Schneider DA, Gur RE, Derntl B, Schneider F, Habel U. Neural responses to dynamic multimodal stimuli and pathology-specific impairments of social cognition in schizophrenia and depression. Br J Psychiatry 2015; 206:198-205. [PMID: 25573396 DOI: 10.1192/bjp.bp.113.143040] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
BACKGROUND Individuals with schizophrenia and people with depression both show abnormal behavioural and neural responses when perceiving and responding to emotional stimuli, but pathology-specific differences and commonalities remain mostly unclear. AIMS To directly compare empathic responses to dynamic multimodal emotional stimuli in a group with schizophrenia and a group with depression, and to investigate their neural correlates using functional magnetic resonance imaging (fMRI). METHOD The schizophrenia group (n = 20), the depression group (n = 24) and a control group (n = 24) were presented with portrait-shot video clips expressing emotion through three possible communication channels: facial expression, prosody and content. Participants rated their own and the actor's emotional state as an index of empathy. RESULTS Although no group differences were found in empathy ratings, characteristic differences emerged in the fMRI activation patterns. The schizophrenia group demonstrated aberrant activation patterns during the neutral speech content condition in regions implicated in multimodal integration and formation of semantic constructs. Those in the depression group were most affected during conditions with trimodal emotional and trimodal neutral stimuli, in key regions of the mentalising network. CONCLUSIONS Our findings reveal characteristic differences in patients with schizophrenia compared with those with depression in their cortical responses to dynamic affective stimuli. These differences indicate that impairments in responding to emotional stimuli may be caused by pathology-specific problems in social cognition.
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Affiliation(s)
- Christina Regenbogen
- Christina Regenbogen, Dr. rer. medic., Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden, and Department of Psychiatry, Psychotherapy, and Psychosomatics, Medical School, RWTH Aachen University, Aachen, Germany; Thilo Kellermann, Dr. rer. medic., Department of Psychiatry, Psychotherapy, and Psychosomatics, Medical School, RWTH Aachen University, Aachen, and JARA Translational Brain Medicine, Jülich, Germany; Janina Seubert, Dr. rer. medic., Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden; Daniel A. Schneider, MSc, Department of Psychiatry, Psychotherapy, and Psychosomatics, Medical School, RWTH Aachen University, Aachen, and JARA Translational Brain Medicine, Jülich, Germany; Raquel E. Gur, MD, PhD, Department of Psychiatry, University of Pennsylvania, Philadelphia, Pennsylvania, USA; Birgit Derntl, Dr. rer. nat., Department of Psychiatry, Psychotherapy, and Psychosomatics, Medical School, RWTH Aachen University, Aachen and JARA Translational Brain Medicine, Jülich, Germany; Frank Schneider, MD, Dr. rer. soc., Department of Psychiatry, Psychotherapy, and Psychosomatics, Medical School, RWTH Aachen University, Aachen, JARA Translational Brain Medicine, Jülich, Germany, and Department of Psychiatry, University of Pennsylvania, Philadelphia, Pennsylvania, USA; Ute Habel, Dr. rer. soc., Department of Psychiatry, Psychotherapy, and Psychosomatics, Medical School, RWTH Aachen University, Aachen, and JARA Translational Brain Medicine, Jülich, Germany
| | - Thilo Kellermann
- Christina Regenbogen, Dr. rer. medic., Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden, and Department of Psychiatry, Psychotherapy, and Psychosomatics, Medical School, RWTH Aachen University, Aachen, Germany; Thilo Kellermann, Dr. rer. medic., Department of Psychiatry, Psychotherapy, and Psychosomatics, Medical School, RWTH Aachen University, Aachen, and JARA Translational Brain Medicine, Jülich, Germany; Janina Seubert, Dr. rer. medic., Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden; Daniel A. Schneider, MSc, Department of Psychiatry, Psychotherapy, and Psychosomatics, Medical School, RWTH Aachen University, Aachen, and JARA Translational Brain Medicine, Jülich, Germany; Raquel E. Gur, MD, PhD, Department of Psychiatry, University of Pennsylvania, Philadelphia, Pennsylvania, USA; Birgit Derntl, Dr. rer. nat., Department of Psychiatry, Psychotherapy, and Psychosomatics, Medical School, RWTH Aachen University, Aachen and JARA Translational Brain Medicine, Jülich, Germany; Frank Schneider, MD, Dr. rer. soc., Department of Psychiatry, Psychotherapy, and Psychosomatics, Medical School, RWTH Aachen University, Aachen, JARA Translational Brain Medicine, Jülich, Germany, and Department of Psychiatry, University of Pennsylvania, Philadelphia, Pennsylvania, USA; Ute Habel, Dr. rer. soc., Department of Psychiatry, Psychotherapy, and Psychosomatics, Medical School, RWTH Aachen University, Aachen, and JARA Translational Brain Medicine, Jülich, Germany
| | - Janina Seubert
- Christina Regenbogen, Dr. rer. medic., Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden, and Department of Psychiatry, Psychotherapy, and Psychosomatics, Medical School, RWTH Aachen University, Aachen, Germany; Thilo Kellermann, Dr. rer. medic., Department of Psychiatry, Psychotherapy, and Psychosomatics, Medical School, RWTH Aachen University, Aachen, and JARA Translational Brain Medicine, Jülich, Germany; Janina Seubert, Dr. rer. medic., Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden; Daniel A. Schneider, MSc, Department of Psychiatry, Psychotherapy, and Psychosomatics, Medical School, RWTH Aachen University, Aachen, and JARA Translational Brain Medicine, Jülich, Germany; Raquel E. Gur, MD, PhD, Department of Psychiatry, University of Pennsylvania, Philadelphia, Pennsylvania, USA; Birgit Derntl, Dr. rer. nat., Department of Psychiatry, Psychotherapy, and Psychosomatics, Medical School, RWTH Aachen University, Aachen and JARA Translational Brain Medicine, Jülich, Germany; Frank Schneider, MD, Dr. rer. soc., Department of Psychiatry, Psychotherapy, and Psychosomatics, Medical School, RWTH Aachen University, Aachen, JARA Translational Brain Medicine, Jülich, Germany, and Department of Psychiatry, University of Pennsylvania, Philadelphia, Pennsylvania, USA; Ute Habel, Dr. rer. soc., Department of Psychiatry, Psychotherapy, and Psychosomatics, Medical School, RWTH Aachen University, Aachen, and JARA Translational Brain Medicine, Jülich, Germany
| | - Daniel A Schneider
- Christina Regenbogen, Dr. rer. medic., Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden, and Department of Psychiatry, Psychotherapy, and Psychosomatics, Medical School, RWTH Aachen University, Aachen, Germany; Thilo Kellermann, Dr. rer. medic., Department of Psychiatry, Psychotherapy, and Psychosomatics, Medical School, RWTH Aachen University, Aachen, and JARA Translational Brain Medicine, Jülich, Germany; Janina Seubert, Dr. rer. medic., Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden; Daniel A. Schneider, MSc, Department of Psychiatry, Psychotherapy, and Psychosomatics, Medical School, RWTH Aachen University, Aachen, and JARA Translational Brain Medicine, Jülich, Germany; Raquel E. Gur, MD, PhD, Department of Psychiatry, University of Pennsylvania, Philadelphia, Pennsylvania, USA; Birgit Derntl, Dr. rer. nat., Department of Psychiatry, Psychotherapy, and Psychosomatics, Medical School, RWTH Aachen University, Aachen and JARA Translational Brain Medicine, Jülich, Germany; Frank Schneider, MD, Dr. rer. soc., Department of Psychiatry, Psychotherapy, and Psychosomatics, Medical School, RWTH Aachen University, Aachen, JARA Translational Brain Medicine, Jülich, Germany, and Department of Psychiatry, University of Pennsylvania, Philadelphia, Pennsylvania, USA; Ute Habel, Dr. rer. soc., Department of Psychiatry, Psychotherapy, and Psychosomatics, Medical School, RWTH Aachen University, Aachen, and JARA Translational Brain Medicine, Jülich, Germany
| | - Raquel E Gur
- Christina Regenbogen, Dr. rer. medic., Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden, and Department of Psychiatry, Psychotherapy, and Psychosomatics, Medical School, RWTH Aachen University, Aachen, Germany; Thilo Kellermann, Dr. rer. medic., Department of Psychiatry, Psychotherapy, and Psychosomatics, Medical School, RWTH Aachen University, Aachen, and JARA Translational Brain Medicine, Jülich, Germany; Janina Seubert, Dr. rer. medic., Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden; Daniel A. Schneider, MSc, Department of Psychiatry, Psychotherapy, and Psychosomatics, Medical School, RWTH Aachen University, Aachen, and JARA Translational Brain Medicine, Jülich, Germany; Raquel E. Gur, MD, PhD, Department of Psychiatry, University of Pennsylvania, Philadelphia, Pennsylvania, USA; Birgit Derntl, Dr. rer. nat., Department of Psychiatry, Psychotherapy, and Psychosomatics, Medical School, RWTH Aachen University, Aachen and JARA Translational Brain Medicine, Jülich, Germany; Frank Schneider, MD, Dr. rer. soc., Department of Psychiatry, Psychotherapy, and Psychosomatics, Medical School, RWTH Aachen University, Aachen, JARA Translational Brain Medicine, Jülich, Germany, and Department of Psychiatry, University of Pennsylvania, Philadelphia, Pennsylvania, USA; Ute Habel, Dr. rer. soc., Department of Psychiatry, Psychotherapy, and Psychosomatics, Medical School, RWTH Aachen University, Aachen, and JARA Translational Brain Medicine, Jülich, Germany
| | - Birgit Derntl
- Christina Regenbogen, Dr. rer. medic., Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden, and Department of Psychiatry, Psychotherapy, and Psychosomatics, Medical School, RWTH Aachen University, Aachen, Germany; Thilo Kellermann, Dr. rer. medic., Department of Psychiatry, Psychotherapy, and Psychosomatics, Medical School, RWTH Aachen University, Aachen, and JARA Translational Brain Medicine, Jülich, Germany; Janina Seubert, Dr. rer. medic., Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden; Daniel A. Schneider, MSc, Department of Psychiatry, Psychotherapy, and Psychosomatics, Medical School, RWTH Aachen University, Aachen, and JARA Translational Brain Medicine, Jülich, Germany; Raquel E. Gur, MD, PhD, Department of Psychiatry, University of Pennsylvania, Philadelphia, Pennsylvania, USA; Birgit Derntl, Dr. rer. nat., Department of Psychiatry, Psychotherapy, and Psychosomatics, Medical School, RWTH Aachen University, Aachen and JARA Translational Brain Medicine, Jülich, Germany; Frank Schneider, MD, Dr. rer. soc., Department of Psychiatry, Psychotherapy, and Psychosomatics, Medical School, RWTH Aachen University, Aachen, JARA Translational Brain Medicine, Jülich, Germany, and Department of Psychiatry, University of Pennsylvania, Philadelphia, Pennsylvania, USA; Ute Habel, Dr. rer. soc., Department of Psychiatry, Psychotherapy, and Psychosomatics, Medical School, RWTH Aachen University, Aachen, and JARA Translational Brain Medicine, Jülich, Germany
| | - Frank Schneider
- Christina Regenbogen, Dr. rer. medic., Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden, and Department of Psychiatry, Psychotherapy, and Psychosomatics, Medical School, RWTH Aachen University, Aachen, Germany; Thilo Kellermann, Dr. rer. medic., Department of Psychiatry, Psychotherapy, and Psychosomatics, Medical School, RWTH Aachen University, Aachen, and JARA Translational Brain Medicine, Jülich, Germany; Janina Seubert, Dr. rer. medic., Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden; Daniel A. Schneider, MSc, Department of Psychiatry, Psychotherapy, and Psychosomatics, Medical School, RWTH Aachen University, Aachen, and JARA Translational Brain Medicine, Jülich, Germany; Raquel E. Gur, MD, PhD, Department of Psychiatry, University of Pennsylvania, Philadelphia, Pennsylvania, USA; Birgit Derntl, Dr. rer. nat., Department of Psychiatry, Psychotherapy, and Psychosomatics, Medical School, RWTH Aachen University, Aachen and JARA Translational Brain Medicine, Jülich, Germany; Frank Schneider, MD, Dr. rer. soc., Department of Psychiatry, Psychotherapy, and Psychosomatics, Medical School, RWTH Aachen University, Aachen, JARA Translational Brain Medicine, Jülich, Germany, and Department of Psychiatry, University of Pennsylvania, Philadelphia, Pennsylvania, USA; Ute Habel, Dr. rer. soc., Department of Psychiatry, Psychotherapy, and Psychosomatics, Medical School, RWTH Aachen University, Aachen, and JARA Translational Brain Medicine, Jülich, Germany
| | - Ute Habel
- Christina Regenbogen, Dr. rer. medic., Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden, and Department of Psychiatry, Psychotherapy, and Psychosomatics, Medical School, RWTH Aachen University, Aachen, Germany; Thilo Kellermann, Dr. rer. medic., Department of Psychiatry, Psychotherapy, and Psychosomatics, Medical School, RWTH Aachen University, Aachen, and JARA Translational Brain Medicine, Jülich, Germany; Janina Seubert, Dr. rer. medic., Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden; Daniel A. Schneider, MSc, Department of Psychiatry, Psychotherapy, and Psychosomatics, Medical School, RWTH Aachen University, Aachen, and JARA Translational Brain Medicine, Jülich, Germany; Raquel E. Gur, MD, PhD, Department of Psychiatry, University of Pennsylvania, Philadelphia, Pennsylvania, USA; Birgit Derntl, Dr. rer. nat., Department of Psychiatry, Psychotherapy, and Psychosomatics, Medical School, RWTH Aachen University, Aachen and JARA Translational Brain Medicine, Jülich, Germany; Frank Schneider, MD, Dr. rer. soc., Department of Psychiatry, Psychotherapy, and Psychosomatics, Medical School, RWTH Aachen University, Aachen, JARA Translational Brain Medicine, Jülich, Germany, and Department of Psychiatry, University of Pennsylvania, Philadelphia, Pennsylvania, USA; Ute Habel, Dr. rer. soc., Department of Psychiatry, Psychotherapy, and Psychosomatics, Medical School, RWTH Aachen University, Aachen, and JARA Translational Brain Medicine, Jülich, Germany
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Seo H, Seol MJ, Lee K. Differential expression of hyperpolarization-activated cyclic nucleotide-gated channel subunits during hippocampal development in the mouse. Mol Brain 2015; 8:13. [PMID: 25761792 PMCID: PMC4352274 DOI: 10.1186/s13041-015-0103-4] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2015] [Accepted: 02/12/2015] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Hyperpolarization-activated cyclic nucleotide-gated (HCN) channels help control the rhythmic activation of pacemaker neurons during brain development. However, little is known about the timing and cell type specificity of the expression of HCN isoforms during development of the hippocampus. RESULTS Here we examined the developmental expression of the brain-enriched HCN1, HCN2, and HCN4 isoforms of HCN channels in mouse hippocampus from embryonic to postnatal stages. All these isoforms were expressed abundantly in the hippocampus at embryonic day 14.5 and postnatal day 0. Each HCN channel isoform showed subfield-specific expression within the hippocampus from postnatal day 7, and only HCN4 was found in glial cells in the stratum lacunosum moleculare at this developmental stage. At postnatal days 21 and 56, all HCN isoforms were strongly expressed in the stratum lacunosum moleculare and the stratum pyramidale of the Cornu Ammonis (CA), as well as in the hilus of the dentate gyrus, but not in the subgranular zone. Furthermore, the immunolabeling for all these isoforms was colocalized with parvalbumin immunolabeling in interneurons of the CA field and in the dentate gyrus. CONCLUSIONS Our mapping data showing the temporal and spatial changes in the expression of HCN channels suggest that HCN1, HCN2, and HCN4 subunits may have distinct physiological roles in the developing hippocampus.
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Affiliation(s)
- Hyunhyo Seo
- Department of Anatomy, Brain Science & Engineering Institute, Kyungpook National University Graduate School of Medicine, 2-101, Dongin-dong, Jung-gu, Daegu, 700-842, South Korea.
| | - Myoung-Jin Seol
- Department of Anatomy, Brain Science & Engineering Institute, Kyungpook National University Graduate School of Medicine, 2-101, Dongin-dong, Jung-gu, Daegu, 700-842, South Korea.
| | - Kyungmin Lee
- Department of Anatomy, Brain Science & Engineering Institute, Kyungpook National University Graduate School of Medicine, 2-101, Dongin-dong, Jung-gu, Daegu, 700-842, South Korea.
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27
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Womer FY, Wang L, Alpert K, Smith MJ, Csernansky JG, Barch D, Mamah D. Basal ganglia and thalamic morphology in schizophrenia and bipolar disorder. Psychiatry Res 2014; 223:75-83. [PMID: 24957866 PMCID: PMC4112520 DOI: 10.1016/j.pscychresns.2014.05.017] [Citation(s) in RCA: 49] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/31/2013] [Revised: 05/15/2014] [Accepted: 05/27/2014] [Indexed: 12/21/2022]
Abstract
In this study, we examined the morphology of the basal ganglia and thalamus in bipolar disorder (BP), schizophrenia-spectrum disorders (SCZ-S), and healthy controls (HC) with particular interest in differences related to the absence or presence of psychosis. Volumetric and shape analyses of the basal ganglia and thalamus were performed in 33 BP individuals [12 without history of psychotic features (NPBP) and 21 with history of psychotic features (PBP)], 32 SCZ-S individuals [28 with SCZ and 4 with schizoaffective disorder], and 27 HC using FreeSurfer-initiated large deformation diffeomorphic metric mapping. Significant volume differences were found in the caudate and globus pallidus, with volumes smallest in the NPBP group. Shape abnormalities showing inward deformation of superior regions of the caudate were observed in BP (and especially in NPBP) compared with HC. Shape differences were also found in the globus pallidus and putamen when comparing BP and SCZ-S groups. No significant differences were seen in the nucleus accumbens and thalamus. In summary, structural abnormalities in the caudate and globus pallidus are present in BP and SCZ-S. Differences were more apparent in the NPBP subgroup. The findings herein highlight the potential importance of separately examining BP subgroups in neuroimaging studies.
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Affiliation(s)
- Fay Y. Womer
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - Lei Wang
- Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Kathryn Alpert
- Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Matthew J. Smith
- Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - John G. Csernansky
- Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Deanna Barch
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA,Department of Psychology, Washington University, St. Louis, MO, USA,Department or Radiology, Washington University, St. Louis, MO, USA
| | - Daniel Mamah
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
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de Morais H, de Souza CP, da Silva LM, Ferreira DM, Werner MF, Andreatini R, da Cunha JM, Zanoveli JM. Increased oxidative stress in prefrontal cortex and hippocampus is related to depressive-like behavior in streptozotocin-diabetic rats. Behav Brain Res 2014; 258:52-64. [DOI: 10.1016/j.bbr.2013.10.011] [Citation(s) in RCA: 73] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2013] [Revised: 09/28/2013] [Accepted: 10/03/2013] [Indexed: 12/11/2022]
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Avery SN, Williams LE, Woolard AA, Heckers S. Relational memory and hippocampal function in psychotic bipolar disorder. Eur Arch Psychiatry Clin Neurosci 2013; 264:10.1007/s00406-013-0442-z. [PMID: 24022592 PMCID: PMC3952027 DOI: 10.1007/s00406-013-0442-z] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/18/2013] [Accepted: 08/24/2013] [Indexed: 01/08/2023]
Abstract
Recent cognitive, genetic, and histological studies have highlighted significant overlap between psychotic bipolar disorder and schizophrenia. Specifically, both bipolar disorder and schizophrenia are characterized by interneuron dysfunction within the hippocampus, an essential structure for relational memory. Relational memory impairments are a common feature of schizophrenia, but have yet to be investigated in psychotic bipolar disorder. Here, we tested the hypothesis that psychotic bipolar disorder is characterized by relational memory deficits. We used a transitive inference (TI) paradigm, previously employed to quantify relational memory deficits in schizophrenia, to assess relational memory performance in 17 patients with psychotic bipolar disorder and 22 demographically matched control participants. Functional magnetic resonance imaging was used to examine hippocampal activity during recognition memory in patients and controls. Hippocampal volumes were assessed by manual segmentation. In contrast to our hypothesis, we found similar TI performance, hippocampal volume, and hippocampal recruitment during recognition memory in both groups. Both psychotic bipolar disorder patients and controls exhibited a positive correlation between hippocampal volume and relational memory performance. These data indicate that relational memory impairments are not a shared feature of non-affective and affective psychosis.
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Affiliation(s)
- Suzanne N. Avery
- Vanderbilt Brain Institute, Vanderbilt University, Nashville, TN, USA
| | - Lisa E. Williams
- Department of Psychiatry, University of Wisconsin, Madison, WI, USA
| | - Austin A. Woolard
- Department of Psychiatry, Vanderbilt Psychiatric Hospital, Vanderbilt University, 1601 23rd Avenue South, Room 3060, Nashville, TN 37212, USA
| | - Stephan Heckers
- Department of Psychiatry, Vanderbilt Psychiatric Hospital, Vanderbilt University, 1601 23rd Avenue South, Room 3060, Nashville, TN 37212, USA
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Qiu A, Gan SC, Wang Y, Sim K. Amygdala-hippocampal shape and cortical thickness abnormalities in first-episode schizophrenia and mania. Psychol Med 2013; 43:1353-1363. [PMID: 23186886 DOI: 10.1017/s0033291712002218] [Citation(s) in RCA: 29] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
BACKGROUND Abnormalities in cortical thickness and subcortical structures have been studied in schizophrenia but little is known about corresponding changes in mania and brain structural differences between these two psychiatric conditions, especially early in the stage of the illness. In this study we aimed to compare cortical thickness and shape of the amygdala-hippocampal complex in first-episode schizophrenia (FES) and mania (FEM). Method Structural magnetic resonance imaging (MRI) was performed on 28 FES patients, 28 FEM patients and 28 healthy control subjects who were matched for age, gender and handedness. RESULTS Overall, the shape of the amygdala was deformed in both patient groups, relative to controls. Compared to FEM patients, FES patients had significant inward shape deformation in the left hippocampal tail, right hippocampal body and a small region in the right amygdala. Cortical thinning was more widespread in FES patients, with significant differences found in the temporal brain regions when compared with FEM and controls. CONCLUSIONS Significant differences were observed between the two groups of patients with FES and FEM in terms of the hippocampal shape and cortical thickness in the temporal region, highlighting that distinguishable brain structural changes are present early in the course of schizophrenia and mania.
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Affiliation(s)
- A Qiu
- Department of Bioengineering, National University of Singapore, Singapore.
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31
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Han M, Huang XF, Chen DC, Xiu M, Kosten TR, Zhang XY. Diabetes and cognitive deficits in chronic schizophrenia: a case-control study. PLoS One 2013; 8:e66299. [PMID: 23840437 PMCID: PMC3688788 DOI: 10.1371/journal.pone.0066299] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2013] [Accepted: 05/04/2013] [Indexed: 11/22/2022] Open
Abstract
Cognitive impairment occurs in both schizophrenia and diabetes. There is currently limited understanding whether schizophrenia with diabetes has more serious cognitive deficits than schizophrenia without diabetes or diabetes only. This study assessed cognitive performance in 190 healthy controls, 106 diabetes only, 127 schizophrenia without diabetes and 55 schizophrenia with diabetes. This study was conducted from January 2008 to December 2010. Compared to healthy controls, all patient groups had significantly decreased total and five index RBANS scores (all p<0.01-p<0.001), except for the visuospatial/constructional index. Schizophrenia with diabetes performed worse than schizophrenia without diabetes in immediate memory (p<0.01) and total RBANS scores (<0.05), and showed a trend for decreased attention (p = 0.052) and visuospatial/constructional capacity (p = 0.063). Schizophrenia with diabetes performed worse than diabetes only in immediate memory (p<0.001) and attention (p<0.05), and showed a trend for decreased total RBANS scores (p = 0.069). Regression analysis showed that the RBANS had modest correlations with schizophrenia' PANSS scores, their duration of current antipsychotic treatment, and diagnosis of diabetes. Schizophrenia with co-morbid diabetes showed more cognitive impairment than schizophrenia without diabetes and diabetes only, especially in immediate memory and attention.
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Affiliation(s)
- Mei Han
- Centre for Translational Neuroscience, School of Health Sciences, IHMRI, University of Wollongong, Wollongong, New South Wales, Australia
- Schizophrenia Research Institute, Sydney, New South Wales, Australia
| | - Xu-Feng Huang
- Centre for Translational Neuroscience, School of Health Sciences, IHMRI, University of Wollongong, Wollongong, New South Wales, Australia
- Schizophrenia Research Institute, Sydney, New South Wales, Australia
| | - Da Chun Chen
- Beijing HuiLongGuan Hospital, Peking University, Beijing, PR China
| | - Meihong Xiu
- Beijing HuiLongGuan Hospital, Peking University, Beijing, PR China
| | - Thomas R. Kosten
- Beijing HuiLongGuan Hospital, Peking University, Beijing, PR China
- Menninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, and Michael E. DeBakey VA Medical Center, Houston, Texas, United States of America
| | - Xiang Yang Zhang
- Beijing HuiLongGuan Hospital, Peking University, Beijing, PR China
- Menninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, and Michael E. DeBakey VA Medical Center, Houston, Texas, United States of America
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Abstract
OBJECTIVES Recent research has highlighted the phenotypic and genetic overlap of bipolar disorder and schizophrenia. Cognitive deficits in bipolar disorder parallel those seen in schizophrenia, particularly for bipolar disorder patients with a history of psychotic features. Here we explored whether relational memory deficits, which are prominent in schizophrenia, are also present in patients with psychotic bipolar disorder. METHODS We tested 25 patients with psychotic bipolar disorder on a relational memory paradigm previously employed to quantify deficits in schizophrenia. During the training, participants learned to associate a set of faces and background scenes. During the testing, participants viewed a single background overlaid by three trained faces and were asked to recall the matching face, which was either present (Match trials) or absent (Non-Match trials). Explicit recognition and eye-movement data were collected and compared to those for 28 schizophrenia patients and 27 healthy subjects from a previously published dataset. RESULTS Contrary to our prediction, we found psychotic bipolar disorder patients were less impaired in relational memory than schizophrenia subjects. Bipolar disorder subjects showed eye-movement behavior similar to healthy controls, whereas schizophrenia subjects were impaired relative to both groups. However, bipolar disorder patients with current delusions and/or hallucinations were more impaired than bipolar disorder patients not currently experiencing these symptoms. CONCLUSIONS We found that patients with psychotic bipolar disorder had better relational memory performance than schizophrenia patients, indicating that a history of psychotic symptoms does not lead to a significant relational memory deficit.
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Affiliation(s)
| | - Lisa E Williams
- Department of Psychiatry, Vanderbilt University, Nashville, TN
| | - Neal Cohen
- Department of Psychology, Neuroscience Program, University of Illinois, Urbana, IL, USA,Amnesia Research Laboratory, Beckman Institute for Advanced Science and Technology, University of Illinois, Urbana, IL, USA
| | - Stephan Heckers
- Department of Psychiatry, Vanderbilt University, Nashville, TN
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Whalley HC, Papmeyer M, Sprooten E, Lawrie SM, Sussmann JE, McIntosh AM. Review of functional magnetic resonance imaging studies comparing bipolar disorder and schizophrenia. Bipolar Disord 2012; 14:411-31. [PMID: 22631622 DOI: 10.1111/j.1399-5618.2012.01016.x] [Citation(s) in RCA: 57] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/17/2023]
Abstract
OBJECTIVE Although bipolar disorder (BD) and schizophrenia (SCZ) have a number of clinical features and certain susceptibility genes in common, they are considered separate disorders, and it is unclear which aspects of pathophysiology are specific to each condition. Here, we examine the functional magnetic resonance imaging (fMRI) literature to determine the evidence for diagnosis-specific patterns of brain activation in the two patient groups. METHOD A systematic search was performed to identify fMRI studies directly comparing BD and SCZ to examine evidence for diagnosis-specific activation patterns. Studies were categorized into (i) those investigating emotion, reward, or memory, (ii) those describing executive function or language tasks, and (iii) those looking at the resting state or default mode networks. Studies reporting estimates of sensitivity and specificity of classification are also summarized, followed by studies reporting associations with symptom severity measures. RESULTS In total, 21 studies were identified including patients (n = 729) and healthy subjects (n = 465). Relative over-activation in the medial temporal lobe and associated structures was found in BD versus SCZ in tasks involving emotion or memory. Evidence of differences between the disorders in prefrontal regions was less consistent. Accuracy values for assignment of diagnosis were generally lower in BD than in SCZ. Few studies reported significant symptom associations; however, these generally implicated limbic regions in association with manic symptoms. CONCLUSIONS Although there are a limited number of studies and a cautious approach is warranted, activation differences were found in the medial temporal lobe and associated limbic regions, suggesting the presence of differences in the neurobiological substrates of SCZ and BD. Future studies examining symptom dimensions, risk-associated genes, and the effects of medication will aid clarification of the mechanisms behind these differences.
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Affiliation(s)
- Heather C Whalley
- Division of Psychiatry, School of Molecular and Clinical Medicine, University of Edinburgh, Edinburgh, UK.
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Hafeman DM, Chang KD, Garrett AS, Sanders EM, Phillips ML. Effects of medication on neuroimaging findings in bipolar disorder: an updated review. Bipolar Disord 2012; 14:375-410. [PMID: 22631621 DOI: 10.1111/j.1399-5618.2012.01023.x] [Citation(s) in RCA: 258] [Impact Index Per Article: 21.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
OBJECTIVE Neuroimaging is an important tool for better understanding the neurobiological underpinnings of bipolar disorder (BD). However, potential study participants are often receiving psychotropic medications which can possibly confound imaging data. To better interpret the results of neuroimaging studies in BD, it is important to understand the impact of medications on structural magnetic resonance imaging (sMRI), functional MRI (fMRI), and diffusion tensor imaging (DTI). METHODS To better understand the impact of medications on imaging data, we conducted a literature review and searched MEDLINE for papers that included the key words bipolar disorder and fMRI, sMRI, or DTI. The search was limited to papers that assessed medication effects and had not been included in a previous review by Phillips et al. (Medication effects in neuroimaging studies of bipolar disorder. Am J Psychiatry 2008; 165: 313-320). This search yielded 74 sMRI studies, 46 fMRI studies, and 15 DTI studies. RESULTS Medication appeared to influence many sMRI studies, but had limited impact on fMRI and DTI findings. From the structural studies, the most robust finding (20/45 studies) was that lithium was associated with increased volumes in areas important for mood regulation, while antipsychotic agents and anticonvulsants were generally not. Regarding secondary analysis of the medication effects of fMRI and DTI studies, few showed significant effects of medication, although rigorous analyses were typically not possible when the majority of subjects were medicated. Medication effects were more frequently observed in longitudinal studies designed to assess the impact of particular medications on the blood oxygen level-dependent (BOLD) signal. With a few exceptions, the observed effects were normalizing, meaning that the medicated individuals with BD were more similar than their unmedicated counterparts to healthy subjects. CONCLUSIONS The effects of psychotropic medications, when present, are predominantly normalizing and thus do not seem to provide an alternative explanation for differences in volume, white matter tracts, or BOLD signal between BD participants and healthy subjects. However, the normalizing effects of medication could obfuscate differences between BD and healthy subjects, and thus might lead to type II errors.
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Affiliation(s)
- Danella M Hafeman
- Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, Pittsburgh, PA 15213, USA.
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Marballi K, Cruz D, Thompson P, Walss-Bass C. Differential neuregulin 1 cleavage in the prefrontal cortex and hippocampus in schizophrenia and bipolar disorder: preliminary findings. PLoS One 2012; 7:e36431. [PMID: 22590542 PMCID: PMC3349664 DOI: 10.1371/journal.pone.0036431] [Citation(s) in RCA: 44] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2011] [Accepted: 04/02/2012] [Indexed: 02/06/2023] Open
Abstract
Background Neuregulin 1 (NRG1) is a key candidate susceptibility gene for both schizophrenia (SCZ) and bipolar disorder (BPD). The function of the NRG1 transmembrane proteins is regulated by cleavage. Alteration of membrane bound-NRG1 cleavage has been previously shown to be associated with behavioral impairments in mouse models lacking expression of NRG1-cleavage enzymes such as BACE1 and gamma secretase. We sought to determine whether alterations in NRG1 cleavage and associated enzymes occur in patients with SCZ and BPD. Methodology/Principal Findings Using human postmortem brain, we evaluated protein expression of NRG1 cleavage products and enzymes that cleave at the external (BACE1, ADAM17, ADAM19) and internal (PS1-gamma secretase) sides of the cell membrane. We used three different cohorts (Controls, SCZ and BPD) and two distinct brain regions: BA9-prefrontal cortex (Controls (n = 6), SCZ (n = 6) and BPD (n = 6)) and hippocampus (Controls (n = 5), SCZ (n = 6) and BPD (n = 6)). In BA9, the ratio of the NRG1 N-terminal fragment relative to full length was significantly upregulated in the SCZ cohort (Bonferroni test, p = 0.011). ADAM17 was negatively correlated with full length NRG1 levels in the SCZ cohort (r = –0.926, p = 0.008). In the hippocampus we found significantly lower levels of a soluble 50 kDa NRG1 fragment in the two affected groups compared the control cohort (Bonferroni test, p = 0.0018). We also examined the relationship of specific symptomatology criteria with measures of NRG1 cleavage using the Bipolar Inventory of Signs and Symptoms Scale (BISS) and the Montgomery Åsberg Depression Rating Scale (MADRS). Our results showed a positive correlation between ADAM19 and psychosis (r = 0.595 p = 0.019); PS1 and mania (r = 0.535, p = 0.040); PS1 and depression (r = 0.567, p = 0.027) in BA9, and BACE1 with anxiety (r = 0.608, p = 0.03) in the hippocampus. Conclusion/Significance Our preliminary findings suggest region-specific alterations in NRG1 cleavage in SCZ and BPD patients. These changes may be associated with specific symptoms in these psychiatric disorders.
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Affiliation(s)
- Ketan Marballi
- University of Texas Health Science Center at San Antonio, Department of Cellular and Structural Biology, San Antonio, Texas, United States of America
- Department of Psychiatry, University of Texas Health Science Center at San Antonio, San Antonio, Texas, United States of America
| | - Dianne Cruz
- Southwest Brain Bank, Department of Psychiatry, University of Texas Health Science Center at San Antonio, San Antonio, Texas, United States of America
| | - Peter Thompson
- Southwest Brain Bank, Department of Psychiatry, University of Texas Health Science Center at San Antonio, San Antonio, Texas, United States of America
| | - Consuelo Walss-Bass
- Department of Psychiatry, University of Texas Health Science Center at San Antonio, San Antonio, Texas, United States of America
- * E-mail:
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Smith GN, Thornton AE, Lang DJ, Macewan GW, Ehmann TS, Kopala LC, Tee K, Shiau G, Voineskos AN, Kennedy JL, Honer WG. Hippocampal volume and the brain-derived neurotrophic factor Val66Met polymorphism in first episode psychosis. Schizophr Res 2012; 134:253-9. [PMID: 22192502 DOI: 10.1016/j.schres.2011.11.022] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/16/2011] [Revised: 11/14/2011] [Accepted: 11/16/2011] [Indexed: 12/22/2022]
Abstract
INTRODUCTION Small hippocampi and impaired memory are common in patients with psychosis and brain-derived neurotrophic factor (BDNF) plays a critical role in hippocampal neuroplasticity and memory. A common BDNF allele (Val66Met) has been the focus of numerous studies but results from the few BDNF-imaging studies are complex and contradictory. The objective of this study was to determine the association between Val66Met and hippocampal volume in patients with first episode psychosis. Secondary analyses explored age-related associations and the relationship between Val66Met and memory. METHOD Hippocampal volume and BDNF genotyping were obtained for 58 patients with first-episode psychosis and 39 healthy volunteers. Patients were recruited from an early psychosis program serving a catchment-area population. RESULTS Hippocampal volume was significantly smaller in patients than controls (F(1,92)=4.03, p<0.05) and there was a significant group-by-allele interaction (F(1,92)=3.99, p<0.05). Hippocampal volume was significantly smaller in patients than controls who were Val-homozygotes but no group differences were found for Met carriers. Findings were not affected by diagnosis, antipsychotic medication, or age, and there was no change in hippocampal volume during a one-year follow-up. Val-homozygous patients had worse immediate and delayed memory than their Met counterparts. CONCLUSIONS Results suggest the effects of the BDNF Val66Met allele may be different in patients with psychosis than in healthy adults. Hippocampal volume in patient and control Met allele carriers was very similar suggesting that illness-related factors have minimal influence in this group. In contrast, Val homozygosity was related to smaller hippocampi and poorer memory functioning only in patients with psychosis.
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Affiliation(s)
- Geoffrey N Smith
- Department of Psychiatry, University of British Columbia, Vancouver, Canada.
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Intact relational memory and normal hippocampal structure in the early stage of psychosis. Biol Psychiatry 2012; 71:105-13. [PMID: 22055016 PMCID: PMC3322647 DOI: 10.1016/j.biopsych.2011.09.016] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/16/2011] [Revised: 09/20/2011] [Accepted: 09/20/2011] [Indexed: 12/25/2022]
Abstract
BACKGROUND Previous studies indicate that the transition to psychosis is associated with dynamic changes of hippocampal integrity. Here we explored hippocampal volume and neural activation during a relational memory task in patients who were in the early stage of a psychotic illness. METHODS Forty-one early psychosis patients and 34 healthy control subjects completed a transitive inference (TI) task used previously in chronic schizophrenia patients. Participants learned to select the "winner" of two sets of stimulus pairs drawn from an overlapping sequence (A > B > C > D > E) and a nonoverlapping set (a > b, c > d, e > f, g > h). During a functional magnetic resonance imaging scan, participants were tested on the trained pairs and made inferential judgments on novel pairings that could be solved based on training (e.g., B vs. D). Hippocampal volumes were manually segmented and compared between groups. Functional magnetic resonance imaging analyses included 27 early psychosis patients and 30 control subjects who met memory training criteria. RESULTS Groups did not differ on inference performance or hippocampal volume and exhibited similar activation of medial temporal regions when judging nonoverlapping pairs. However, patients who failed to meet memory training criteria had smaller hippocampal volumes. Neural activity during TI was less widespread in early psychosis patients, but between-group differences were not significant. Hippocampal activity during TI was positively correlated with inference performance only in control subjects. CONCLUSIONS Our results provide evidence that relational memory impairment and hippocampal abnormalities, well established in chronic schizophrenia, are not fully present in early psychosis patients. This provides a rationale for early intervention, targeting the possible delay, reduction, or prevention of these deficits.
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Stone WS, Hsi X. Declarative memory deficits and schizophrenia: Problems and prospects. Neurobiol Learn Mem 2011; 96:544-52. [DOI: 10.1016/j.nlm.2011.04.006] [Citation(s) in RCA: 39] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2010] [Revised: 03/24/2011] [Accepted: 04/08/2011] [Indexed: 02/01/2023]
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Brambilla P, Cerruti S, Bellani M, Perlini C, Ferro A, Marinelli V, Giusto D, Tomelleri L, Rambaldelli G, Tansella M, Diwadkar VA. Shared impairment in associative learning in schizophrenia and bipolar disorder. Prog Neuropsychopharmacol Biol Psychiatry 2011; 35:1093-9. [PMID: 21420463 DOI: 10.1016/j.pnpbp.2011.03.007] [Citation(s) in RCA: 24] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/14/2010] [Revised: 03/09/2011] [Accepted: 03/09/2011] [Indexed: 11/28/2022]
Abstract
BACKGROUND Schizophrenia (SCZ) and bipolar disorder (BD) share some cognitive commonalities. However, the role of associative learning, which is a cornerstone of human cognition mainly relying on hippocampus, has been under-investigated. We assessed behavioral performance during associative learning in a group of SCZ, BD and healthy controls (HC). METHODS Nineteen patients with SCZ (36 ± 8.1 years; 13 males, 6 females; all Caucasians), 14 patients with BD (41 ± 9.6 years; 5 males, 9 females; all Caucasians) and 45 HC (27.7 ± 6.9 years; 18 males, 27 females; all Caucasians) were studied. Learning was assessed using an established object-location paired-associative learning paradigm. Subjects learned associations between nine equi-familiar common objects and locations in a nine-location grid. Performance data were analyzed in a repeated measures analysis of variance with time (repeated) and group as factors. RESULTS Learning curves (performance = (1-e(-k x time)) fitted to average performance data in the three groups revealed lower learning rates in SCZ and BD (k = 0.17 and k = 0.34) than HC (k = 0.78). Significant effects of group (F = 11.05, p < 0.001) and time (F = 122.06, p < 0.001) on learning performance were observed. CONCLUSIONS Our study showed that associative learning is impaired in both SCZ and BD, being potentially not affected by medication. Future studies should investigate the neural substrates of learning deficits in SCZ and BD, particularly focusing on hippocampus function and glutamatergic transmission.
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Affiliation(s)
- Paolo Brambilla
- DISM, Inter-University Centre for Behavioural Neurosciences, University of Udine, Udine, Italy.
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Discriminating schizophrenia and bipolar disorder by fusing fMRI and DTI in a multimodal CCA+ joint ICA model. Neuroimage 2011; 57:839-55. [PMID: 21640835 DOI: 10.1016/j.neuroimage.2011.05.055] [Citation(s) in RCA: 171] [Impact Index Per Article: 13.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2011] [Revised: 04/26/2011] [Accepted: 05/17/2011] [Indexed: 11/22/2022] Open
Abstract
Diverse structural and functional brain alterations have been identified in both schizophrenia and bipolar disorder, but with variable replicability, significant overlap and often in limited number of subjects. In this paper, we aimed to clarify differences between bipolar disorder and schizophrenia by combining fMRI (collected during an auditory oddball task) and diffusion tensor imaging (DTI) data. We proposed a fusion method, "multimodal CCA+ joint ICA", which increases flexibility in statistical assumptions beyond existing approaches and can achieve higher estimation accuracy. The data collected from 164 participants (62 healthy controls, 54 schizophrenia and 48 bipolar) were extracted into "features" (contrast maps for fMRI and fractional anisotropy (FA) for DTI) and analyzed in multiple facets to investigate the group differences for each pair-wised groups and each modality. Specifically, both patient groups shared significant dysfunction in dorsolateral prefrontal cortex and thalamus, as well as reduced white matter (WM) integrity in anterior thalamic radiation and uncinate fasciculus. Schizophrenia and bipolar subjects were separated by functional differences in medial frontal and visual cortex, as well as WM tracts associated with occipital and frontal lobes. Both patients and controls showed similar spatial distributions in motor and parietal regions, but exhibited significant variations in temporal lobe. Furthermore, there were different group trends for age effects on loading parameters in motor cortex and multiple WM regions, suggesting that brain dysfunction and WM disruptions occurred in identified regions for both disorders. Most importantly, we can visualize an underlying function-structure network by evaluating the joint components with strong links between DTI and fMRI. Our findings suggest that although the two patient groups showed several distinct brain patterns from each other and healthy controls, they also shared common abnormalities in prefrontal thalamic WM integrity and in frontal brain mechanisms.
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Chen CH, Suckling J, Lennox BR, Ooi C, Bullmore ET. A quantitative meta-analysis of fMRI studies in bipolar disorder. Bipolar Disord 2011; 13:1-15. [PMID: 21320248 DOI: 10.1111/j.1399-5618.2011.00893.x] [Citation(s) in RCA: 332] [Impact Index Per Article: 25.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
OBJECTIVES Functional magnetic resonance imaging (fMRI) has been widely used to identify state and trait markers of brain abnormalities associated with bipolar disorder (BD). However, the primary literature is composed of small-to-medium-sized studies, using diverse activation paradigms on variously characterized patient groups, which can be difficult to synthesize into a coherent account. This review aimed to synthesize current evidence from fMRI studies in midlife adults with BD and to investigate whether there is support for the theoretical models of the disorder. METHODS We used voxel-based quantitative meta-analytic methods to combine primary data on anatomical coordinates of activation from 65 fMRI studies comparing normal volunteers (n = 1,074) and patients with BD (n = 1,040). RESULTS Compared to normal volunteers, patients with BD underactivated the inferior frontal cortex (IFG) and putamen and overactivated limbic areas, including medial temporal structures (parahippocampal gyrus, hippocampus, and amygdala) and basal ganglia. Dividing studies into those using emotional and cognitive paradigms demonstrated that the IFG abnormalities were manifest during both cognitive and emotional processing, while increased limbic activation was mainly related to emotional processing. In further separate comparisons between healthy volunteers and patient subgroups in each clinical state, the IFG was underactive in manic but not in euthymic and depressed states. Limbic structures were not overactive in association with mood states, with the exception of increased amygdala activation in euthymic states when including region-of-interest studies. CONCLUSIONS In summary, our results showed abnormal frontal-limbic activation in BD. There was attenuated activation of the IFG or ventrolateral prefrontal cortex, which was consistent across emotional and cognitive tasks and particularly related to the state of mania, and enhanced limbic activation, which was elicited by emotional and not cognitive tasks, and not clearly related to mood states.
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Affiliation(s)
- Chi-Hua Chen
- Brain Mapping Unit, Department of Psychiatry, University of Cambridge GlaxoSmithKline Clinical Unit Cambridge, Addenbrooke's Hospital, Cambridge, UK.
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LAWRIE STEPHENM, OLABI BAYANNE, HALL JEREMY, McINTOSH ANDREWM. Do we have any solid evidence of clinical utility about the pathophysiology of schizophrenia? World Psychiatry 2011; 10:19-31. [PMID: 21379347 PMCID: PMC3048512 DOI: 10.1002/j.2051-5545.2011.tb00004.x] [Citation(s) in RCA: 52] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/30/2023] Open
Abstract
A diagnosis of schizophrenia, as in most of psychiatric practice, is made largely by eliciting symptoms with reference to subjective, albeit operationalized, criteria. This diagnosis then provides some rationale for management. Objective diagnostic and therapeutic tests are much more desirable, provided they are reliably measured and interpreted. Definite advances have been made in our understanding of schizophrenia in recent decades, but there has been little consideration of how this information could be used in clinical practice. We review here the potential utility of the strongest and best replicated risk factors for and manifestations of schizophrenia within clinical, epidemiological, cognitive, blood biomarker and neuroimaging domains. We place particular emphasis on the sensitivity, specificity and predictive power of pathophysiological indices for making a diagnosis, establishing an early diagnosis or predicting treatment response in schizophrenia. We conclude that a number of measures currently available have the potential to increase the rigour of clinical assessments in schizophrenia. We propose that the time has come to more fully evaluate these and other well replicated abnormalities as objective potential diagnostic and prognostic guides, and to steer future clinical, therapeutic and nosological research in this direction.
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Affiliation(s)
- STEPHEN M. LAWRIE
- Division of Psychiatry, School of Molecular and Clinical Medicine, Royal Edinburgh Hospital, Morningside, Edinburgh EH10 5HF, UK
| | - BAYANNE OLABI
- Division of Psychiatry, School of Molecular and Clinical Medicine, Royal Edinburgh Hospital, Morningside, Edinburgh EH10 5HF, UK
| | - JEREMY HALL
- Division of Psychiatry, School of Molecular and Clinical Medicine, Royal Edinburgh Hospital, Morningside, Edinburgh EH10 5HF, UK
| | - ANDREW M. McINTOSH
- Division of Psychiatry, School of Molecular and Clinical Medicine, Royal Edinburgh Hospital, Morningside, Edinburgh EH10 5HF, UK
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Konradi C, Zimmerman EI, Yang CK, Lohmann KM, Gresch P, Pantazopoulos H, Berretta S, Heckers S. Hippocampal interneurons in bipolar disorder. ACTA ACUST UNITED AC 2010; 68:340-50. [PMID: 21135314 DOI: 10.1001/archgenpsychiatry.2010.175] [Citation(s) in RCA: 86] [Impact Index Per Article: 6.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
CONTEXT Postmortem studies have reported decreased density and decreased gene expression of hippocampal interneurons in bipolar disorder, but neuroimaging studies of hippocampal volume and function have been inconclusive. OBJECTIVE To assess hippocampal volume, neuron number, and interneurons in the same specimens of subjects with bipolar disorder and healthy control subjects. DESIGN Whole human hippocampi of 14 subjects with bipolar disorder and 18 healthy control subjects were cut at 2.5-mm intervals and sections from each tissue block were either Nissl-stained or stained with antibodies against somatostatin or parvalbumin. Messenger RNA was extracted from fixed tissue and real-time quantitative polymerase chain reaction was performed. SETTING Basic research laboratories at Vanderbilt University and McLean Hospital. SAMPLES Brain specimens from the Harvard Brain Tissue Resource Center at McLean Hospital. MAIN OUTCOME MEASURES Volume of pyramidal and nonpyramidal cell layers, overall neuron number and size, number of somatostatin- and parvalbumin-positive interneurons, and messenger RNA levels of somatostatin, parvalbumin, and glutamic acid decarboxylase 1. RESULTS The 2 groups did not differ in the total number of hippocampal neurons, but the bipolar disorder group showed reduced volume of the nonpyramidal cell layers, reduced somal volume in cornu ammonis sector 2/3, reduced number of somatostatin- and parvalbumin-positive neurons, and reduced messenger RNA levels for somatostatin, parvalbumin, and glutamic acid decarboxylase 1. CONCLUSION Our results indicate a specific alteration of hippocampal interneurons in bipolar disorder, likely resulting in hippocampal dysfunction.
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Affiliation(s)
- Christine Konradi
- Department of Pharmacology, Vanderbilt University, Nashville, TN 37232-8548, USA.
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Lawrie SM, Hall J, McIntosh AM, Owens DGC, Johnstone EC. The 'continuum of psychosis': scientifically unproven and clinically impractical. Br J Psychiatry 2010; 197:423-5. [PMID: 21119144 DOI: 10.1192/bjp.bp.109.072827] [Citation(s) in RCA: 61] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
The limitations of current diagnostic categories are well recognised but their rationale, advantages and utility are often ignored. The scientific support for a 'continuum of psychosis' is limited, and the examination of whether categories, a continuum or more than one continua, and alternatives such as subtypes or hybrid models, best account for the distributions of symptoms in populations has simply not been done. There is a lack of discussion, let alone consensus, about the critical aspects of psychosis to measure, the best ways to quantify those and how these would be applied in clinical practice. Systematic studies are needed to evaluate which of a range of plausible approaches to the classification of psychosis is most useful before change could be justified.
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Williams LE, Must A, Avery S, Woolard A, Woodward ND, Cohen NJ, Heckers S. Eye-movement behavior reveals relational memory impairment in schizophrenia. Biol Psychiatry 2010; 68:617-24. [PMID: 20655509 PMCID: PMC3184178 DOI: 10.1016/j.biopsych.2010.05.035] [Citation(s) in RCA: 42] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/30/2009] [Revised: 05/18/2010] [Accepted: 05/19/2010] [Indexed: 11/30/2022]
Abstract
BACKGROUND Previous studies have demonstrated impaired relational memory in schizophrenia. We studied eye-movement behavior as an indirect measure of relational memory, together with forced-choice recognition as an explicit measure. METHODS Thirty-five patients with schizophrenia and 35 healthy participants were trained to associate a face with a background scene. During testing, scenes were presented as a cue and then overlaid with three previously studied faces. Participants were asked to recall the matching face, and both eye movements and forced-choice recognition were recorded. During Non-Match trials, no faces matched the scene. During Match trials, one of the faces had previously been paired with the scene. RESULTS On Non-Match trials, when no relational memory trace was present, both groups viewed the three faces equally. In contrast, on Match trials, control participants quickly (within 500 msec) and consistently (70%-75% of test trial viewing) showed preferential viewing of the matching face. Viewing of the matching face was significantly delayed and reduced in schizophrenia participants. Forced-choice recognition of the matching face was also impaired in the patient group. An analysis of all correct Match trials revealed that preferential viewing was significantly reduced and delayed in participants with schizophrenia. CONCLUSIONS This study provides novel evidence for a specific relational memory impairment in schizophrenia. Patients showed deficits in their forced-choice recognition responses, as well as abnormal eye-movement patterns during memory recall, even on trials when behavioral responses were accurate. We propose that eye movements provide a promising new avenue for studying relational memory in schizophrenia.
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Affiliation(s)
- Lisa E Williams
- Department of Psychiatry, Vanderbilt University, Nashville, Tennessee 37212, USA
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Abstract
The hippocampus is abnormal in schizophrenia. Smaller hippocampal volume is the most consistent finding and is present already in the early stages of the illness. The underlying cellular substrate is a subtle, yet functionally significant reduction of hippocampal interneurons. Neuroimaging studies have revealed a pattern of increased hippocampal activity at baseline and decreased recruitment during the performance of memory tasks. Hippocampal lesion models in rodents have replicated some of the pharmacological, anatomical and behavioral phenotype of schizophrenia. Taken together, this pattern of findings points to a disinhibition of hippocampal pyramidal cells and abnormal cortico-hippocampal interactions in schizophrenia.
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Affiliation(s)
- Stephan Heckers
- Department of Psychiatry, Vanderbilt University, 1601 23rd Avenue South, Room 3060, Nashville, TN 37212, USA.
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