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Wang J, Dong W, Li Y, Wydell TN, Quan W, Tian J, Song Y, Jiang L, Li F, Yi C, Zhang Y, Yao D, Xu P. Discrimination of auditory verbal hallucination in schizophrenia based on EEG brain networks. Psychiatry Res Neuroimaging 2023; 331:111632. [PMID: 36958075 DOI: 10.1016/j.pscychresns.2023.111632] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/26/2022] [Revised: 02/23/2023] [Accepted: 03/15/2023] [Indexed: 03/25/2023]
Abstract
Auditory verbal hallucinations (AVH) are a core positive symptom of schizophrenia and are regarded as a consequence of the functional breakdown in the related sensory process. Yet, the potential mechanism of AVH is still lacking. In the present study, we explored the difference between AVHs (n = 23) and non-AVHs (n = 19) in schizophrenia and healthy controls (n = 29) by using multidimensional electroencephalograms data during an auditory oddball task. Compared to healthy controls, both AVH and non-AVH groups showed reduced P300 amplitudes. Additionally, the results from brain networks analysis revealed that AVH patients showed reduced left frontal to posterior parietal/temporal connectivity compared to non-AVH patients. Moreover, using the fused network properties of both delta and theta bands as features for in-depth learning made it possible to identify the AVH from non-AVH patients at an accuracy of 80.95%. The left frontal-parietal/temporal networks seen in the auditory oddball paradigm might be underlying biomarkers of AVH in schizophrenia. This study demonstrated for the first time the functional breakdown of the auditory processing pathway in the AVH patients, leading to a better understanding of the atypical brain network of the AVH patients.
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Affiliation(s)
- Jiuju Wang
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing 100191, China
| | - Wentian Dong
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing 100191, China
| | - Yuqin Li
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China, No. 2006, Xiyuan Ave, West Hi-Tech Zone, Chengdu, Sichuan 611731, China; School of Life Science and Technology, Center for Information in Medicine, University of Electronic Science and Technology of China, Chengdu 611731, China
| | - Taeko N Wydell
- Centre for Cognitive Neuroscience, Brunel University London, Uxbridge, UK
| | - Wenxiang Quan
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing 100191, China
| | - Ju Tian
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing 100191, China
| | - Yanping Song
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing 100191, China
| | - Lin Jiang
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China, No. 2006, Xiyuan Ave, West Hi-Tech Zone, Chengdu, Sichuan 611731, China; School of Life Science and Technology, Center for Information in Medicine, University of Electronic Science and Technology of China, Chengdu 611731, China
| | - Fali Li
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China, No. 2006, Xiyuan Ave, West Hi-Tech Zone, Chengdu, Sichuan 611731, China; School of Life Science and Technology, Center for Information in Medicine, University of Electronic Science and Technology of China, Chengdu 611731, China; Research Unit of NeuroInformation, Chinese Academy of Medical Sciences, Chengdu 2019RU035, China.
| | - Chanlin Yi
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China, No. 2006, Xiyuan Ave, West Hi-Tech Zone, Chengdu, Sichuan 611731, China; School of Life Science and Technology, Center for Information in Medicine, University of Electronic Science and Technology of China, Chengdu 611731, China
| | - Yangsong Zhang
- School of Computer Science and Technology, Southwest University of Science and Technology, Mianyang 621010, China
| | - Dezhong Yao
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China, No. 2006, Xiyuan Ave, West Hi-Tech Zone, Chengdu, Sichuan 611731, China; School of Life Science and Technology, Center for Information in Medicine, University of Electronic Science and Technology of China, Chengdu 611731, China; Research Unit of NeuroInformation, Chinese Academy of Medical Sciences, Chengdu 2019RU035, China; School of Electrical Engineering, Zhengzhou University, Zhengzhou 450001, China
| | - Peng Xu
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China, No. 2006, Xiyuan Ave, West Hi-Tech Zone, Chengdu, Sichuan 611731, China; School of Life Science and Technology, Center for Information in Medicine, University of Electronic Science and Technology of China, Chengdu 611731, China; Research Unit of NeuroInformation, Chinese Academy of Medical Sciences, Chengdu 2019RU035, China.
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2
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Du X, Hare S, Summerfelt A, Adhikari BM, Garcia L, Marshall W, Zan P, Kvarta M, Goldwaser E, Bruce H, Gao S, Sampath H, Kochunov P, Simon JZ, Hong LE. Cortical connectomic mediations on gamma band synchronization in schizophrenia. Transl Psychiatry 2023; 13:13. [PMID: 36653335 PMCID: PMC9849210 DOI: 10.1038/s41398-022-02300-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/12/2019] [Revised: 12/07/2022] [Accepted: 12/22/2022] [Indexed: 01/20/2023] Open
Abstract
Aberrant gamma frequency neural oscillations in schizophrenia have been well demonstrated using auditory steady-state responses (ASSR). However, the neural circuits underlying 40 Hz ASSR deficits in schizophrenia remain poorly understood. Sixty-six patients with schizophrenia spectrum disorders and 85 age- and gender-matched healthy controls completed one electroencephalography session measuring 40 Hz ASSR and one imaging session for resting-state functional connectivity (rsFC) assessments. The associations between the normalized power of 40 Hz ASSR and rsFC were assessed via linear regression and mediation models. We found that rsFC among auditory, precentral, postcentral, and prefrontal cortices were positively associated with 40 Hz ASSR in patients and controls separately and in the combined sample. The mediation analysis further confirmed that the deficit of gamma band ASSR in schizophrenia was nearly fully mediated by three of the rsFC circuits between right superior temporal gyrus-left medial prefrontal cortex (MPFC), left MPFC-left postcentral gyrus (PoG), and left precentral gyrus-right PoG. Gamma-band ASSR deficits in schizophrenia may be associated with deficient circuitry level connectivity to support gamma frequency synchronization. Correcting gamma band deficits in schizophrenia may require corrective interventions to normalize these aberrant networks.
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Affiliation(s)
- Xiaoming Du
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, USA.
| | - Stephanie Hare
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Ann Summerfelt
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Bhim M Adhikari
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Laura Garcia
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Wyatt Marshall
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Peng Zan
- Department of Electrical & Computer Engineering, University of Maryland, College Park, MD, USA
| | - Mark Kvarta
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Eric Goldwaser
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Heather Bruce
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Si Gao
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Hemalatha Sampath
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Peter Kochunov
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Jonathan Z Simon
- Department of Electrical & Computer Engineering, University of Maryland, College Park, MD, USA
- Department of Biology, University of Maryland, College Park, MD, USA
- Institute for Systems Research, University of Maryland, College Park, MD, USA
| | - L Elliot Hong
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, USA
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3
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Popov T, Rockstroh B, Miller GA. Oscillatory connectivity as a mechanism of auditory sensory gating and its disruption in schizophrenia. Psychophysiology 2021; 59:e13770. [PMID: 33491212 DOI: 10.1111/psyp.13770] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2020] [Revised: 12/22/2020] [Accepted: 12/30/2020] [Indexed: 01/26/2023]
Abstract
Although innumerable studies using an auditory sensory gating paradigm have confirmed that individuals with schizophrenia (SZ) show less reduction in brain response to the second in a pair of clicks, this large literature has not yielded consensus on the circuit(s) responsible for gating nor for the gating difference in SZ. Clinically stable adult inpatients (N = 157) and matched community participants (N = 90) participated in a standard auditory sensory gating protocol. Responses to paired clicks were quantified as peak-to-peak amplitude from a response at approximately 50 ms to a response at approximately 100 ms in MEG-derived source waveforms. For bilateral sources in each of four regions near Heschl's gyrus, the gating ratio was computed as the response to the second stimulus divided by the response to the first stimulus. Spectrally resolved Granger causality quantified effective connectivity among regions manifested in alpha-band oscillatory coupling before and during stimulation. Poorer sensory gating localized to A1 in SZ than in controls confirmed previous results, here found in adjacent brain regions as well. Spontaneous, stimulus-independent effective connectivity within the hemisphere from angular gyrus to portions of the superior temporal gyrus was lower in SZ and correlated with gating ratio. Significant involvement of frontal and subcortical brain regions previously proposed as contributing to the auditory gating abnormality was not found. Findings point to endogenous connectivity evident in a sequence of activity from angular gyrus to portions of superior temporal gyrus as a mechanism contributing to normal and abnormal gating in SZ and potentially to sensory and cognitive symptoms.
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Affiliation(s)
- Tzvetan Popov
- Methods of Plasticity Research Laboratory, Department of Psychology, University of Zurich, Zurich, Switzerland
| | | | - Gregory A Miller
- Department of Psychology, UCLA, Los Angeles, CA, USA.,Department of Psychiatry and Biobehavioral Sciences, UCLA, Los Angeles, CA, USA
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Cai XL, Wang YM, Wang Y, Zhou HY, Huang J, Wang Y, Lui SSY, Møller A, Hung KSY, Mak HKF, Sham PC, Cheung EFC, Chan RCK. Neurological Soft Signs Are Associated With Altered Cerebellar-Cerebral Functional Connectivity in Schizophrenia. Schizophr Bull 2021; 47:1452-1462. [PMID: 33479738 PMCID: PMC8379549 DOI: 10.1093/schbul/sbaa200] [Citation(s) in RCA: 9] [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] [Indexed: 12/29/2022]
Abstract
Cerebellar dysfunction is associated with neurological soft signs (NSS), which is a promising endophenotype for schizophrenia spectrum disorders. However, the relationship between cerebellar-cerebral resting-state functional connectivity (rsFC) and NSS is largely unexplored. Moreover, both NSS and cerebellar-cerebral rsFC have been found to be correlated with negative symptoms of schizophrenia. Here, we investigated the correlations between NSS and cerebellar-cerebral rsFC, explored their relationship with negative symptoms in a main dataset, and validated the significant findings in a replication dataset. Both datasets comprised schizophrenia patients and healthy controls. In schizophrenia patients, we found positive correlations between NSS and rsFC of the cerebellum with the inferior frontal gyrus and the precuneus, and negative correlations between NSS and rsFC of the cerebellum with the inferior temporal gyrus. In healthy controls, NSS scores were positively correlated with rsFC of the cerebellum with the superior frontal gyrus and negatively correlated with rsFC between the cerebellum and the middle occipital gyrus. Cerebellar-prefrontal rsFC was also positively correlated with negative symptoms in schizophrenia patients. These findings were validated in the replication dataset. Our results suggest that the uncoupling of rsFC between the cerebellum and the cerebral cortex may underlie the expression of NSS in schizophrenia. NSS-related cerebellar-prefrontal rsFC may be a potential neural pathway for possible neural modulation to alleviate negative symptoms.
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Affiliation(s)
- Xin-Lu Cai
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Beijing, China
- Sino-Danish College, University of Chinese Academy of Sciences, Beijing, China
- Sino-Danish Centre for Education and Research, Beijing, China
| | - Yong-Ming Wang
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Beijing, China
- Sino-Danish College, University of Chinese Academy of Sciences, Beijing, China
- Sino-Danish Centre for Education and Research, Beijing, China
| | - Yi Wang
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Beijing, China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Han-Yu Zhou
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Beijing, China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Jia Huang
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Beijing, China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Ya Wang
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Beijing, China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Simon S Y Lui
- Castle Peak Hospital, Hong Kong Special Administrative Region, China
- Department of Psychiatry, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Arne Møller
- Sino-Danish College, University of Chinese Academy of Sciences, Beijing, China
- Sino-Danish Centre for Education and Research, Beijing, China
- Centre of Functionally Integrative Neuroscience, Aarhus University, Aarhus, Denmark
- Department of Nuclear Medicine and PET Centre, Aarhus University Hospital, Aarhus, Denmark
| | - Karen S Y Hung
- Castle Peak Hospital, Hong Kong Special Administrative Region, China
| | - Henry K F Mak
- Department of Diagnostic Radiology, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Pak C Sham
- Department of Psychiatry, The University of Hong Kong, Hong Kong Special Administrative Region, China
- Center for PanorOmic Sciences, The University of Hong Kong, Hong Kong Special Administrative Region, China
- State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Eric F C Cheung
- Castle Peak Hospital, Hong Kong Special Administrative Region, China
| | - Raymond C K Chan
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Beijing, China
- Sino-Danish College, University of Chinese Academy of Sciences, Beijing, China
- Sino-Danish Centre for Education and Research, Beijing, China
- To whom correspondence should be addressed; 16 Lincui Road, Beijing 100101, China; tel: +86(0)10-64836274, fax: 86(0)10-64836274, e-mail:
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5
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Frajman A, Maggio N, Muler I, Haroutunian V, Katsel P, Yitzhaky A, Weiser M, Hertzberg L. Gene expression meta-analysis reveals the down-regulation of three GABA receptor subunits in the superior temporal gyrus of patients with schizophrenia. Schizophr Res 2020; 220:29-37. [PMID: 32376074 DOI: 10.1016/j.schres.2020.04.027] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/25/2019] [Revised: 03/17/2020] [Accepted: 04/19/2020] [Indexed: 11/30/2022]
Abstract
One of the main theories accounting for the underlying pathophysiology of schizophrenia posits alterations in GABAergic neurotransmission. While previous gene expression studies of postmortem brain samples typically report the down-regulation of GABA related genes in schizophrenia, the results are often inconsistent and not uniform across studies. We performed a systematic gene expression analysis of 22 GABA related genes in postmortem superior temporal gyrus (STG) samples of 19 elderly subjects with schizophrenia (mean age: 77) and 14 matched controls from the Icahn school of Medicine at Mount Sinai (MSSM) cohort. To test the validity and robustness of the resulting differentially expressed genes, we then conducted a meta-analysis of the MSSM and an independent dataset from the Stanley Consortium of 14 STG samples of relatively young subjects with schizophrenia (mean age: 44) and 15 matched controls. For the first time, the findings showed the down-regulation of three GABA-receptor subunits of type A, GABRA1, GABRA2 and GABRB3, in the STG samples of subjects with schizophrenia, in both the elderly and the relatively young patients. These findings, as well as previous results, lend weight to the notion of a common upstream pathology that alters GABAergic neurotransmission in schizophrenia. GABRA1, GABRA2 and GABRB3 down-regulation may contribute to the pathophysiology and clinical manifestations of schizophrenia through altered oscillation synchronization in the STG.
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Affiliation(s)
- Assaf Frajman
- Sackler School of Medicine, Tel-Aviv University, Israel
| | - Nicola Maggio
- Department of Neurology, The Chaim Sheba Medical Center, Tel-Hashomer, Ramat-Gan, Israel; Department of Neurology and Neurosurgery, Sackler Faculty of Medicine, Sagol School of Neuroscience, Tel-Aviv University, Israel
| | - Inna Muler
- Childhood Leukemia Research Institute, Department of Pediatric Hemato-Oncology, Sheba Medical Center, Tel-Hashomer, Ramat-Gan, Israel; Human Molecular Genetics and Biochemistry, Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel
| | - Vahram Haroutunian
- Department of Psychiatry, The Icahn School of Medicine at Mount Sinai Hospital, New York, NY, USA; Department of Psychiatry (MIRECC), James J. Peters VA Medical Center, Bronx, NY, USA
| | - Pavel Katsel
- Department of Psychiatry, The Icahn School of Medicine at Mount Sinai Hospital, New York, NY, USA
| | - Assif Yitzhaky
- Department of Physics of Complex Systems, Weizmann Institute of Science, Rehovot, Israel
| | - Mark Weiser
- Department of Psychiatry, Chaim Sheba Medical Center, Ramat-Gan and the Sackler School of Medicine, Tel-Aviv University, Israel
| | - Libi Hertzberg
- Department of Physics of Complex Systems, Weizmann Institute of Science, Rehovot, Israel; Shalvata Mental Health Center, Affiliated with the Sackler School of Medicine, Tel-Aviv University, Israel.
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6
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Chen YH, Howell B, Edgar JC, Huang M, Kochunov P, Hunter MA, Wootton C, Lu BY, Bustillo J, Sadek JR, Miller GA, Cañive JM. Associations and Heritability of Auditory Encoding, Gray Matter, and Attention in Schizophrenia. Schizophr Bull 2019; 45:859-870. [PMID: 30099543 PMCID: PMC6581123 DOI: 10.1093/schbul/sby111] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
BACKGROUND Auditory encoding abnormalities, gray-matter loss, and cognitive deficits are all candidate schizophrenia (SZ) endophenotypes. This study evaluated associations between and heritability of auditory network attributes (function and structure) and attention in healthy controls (HC), SZ patients, and unaffected relatives (UR). METHODS Whole-brain maps of M100 auditory activity from magnetoencephalography recordings, cortical thickness (CT), and a measure of attention were obtained from 70 HC, 69 SZ patients, and 35 UR. Heritability estimates (h2r) were obtained for M100, CT at each group-difference region, and the attention measure. RESULTS SZ patients had weaker bilateral superior temporal gyrus (STG) M100 responses than HC and a weaker right frontal M100 response than UR. Abnormally large M100 responses in left superior frontal gyrus were observed in UR and SZ patients. SZ patients showed smaller CT in bilateral STG and right frontal regions. Interrelatedness between 3 putative SZ endophenotypes was demonstrated, although in the left STG the M100 and CT function-structure associations observed in HC and UR were absent in SZ patients. Heritability analyses also showed that right frontal M100 and bilateral STG CT measures are significantly heritable. CONCLUSIONS Present findings indicated that the 3 SZ endophenotypes examined are not isolated markers of pathology but instead are connected. The pattern of auditory encoding group differences and the pattern of brain function-structure associations differ as a function of brain region, indicating the need for regional specificity when studying these endophenotypes, and with the presence of left STG function-structure associations in HC and UR but not in SZ perhaps reflecting disease-associated damage to gray matter that disrupts function-structure relationships in SZ.
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Affiliation(s)
- Yu-Han Chen
- Department of Radiology, Lurie Family Foundations MEG Imaging Center, Children’s Hospital of Philadelphia, Philadelphia, PA,To whom correspondence should be addressed; Department of Radiology, The Children’s Hospital of Philadelphia, Seashore House 1F Room 116B, Philadelphia, PA 19104, USA; tel: +1(267)426-0959, fax: +1(267)425-2465, e-mail:
| | - Breannan Howell
- Department of Psychology, The University of New Mexico, Albuquerque, NM,Department of Psychiatry and Behavioral Sciences, Center for Psychiatric Research, The University of New Mexico, Albuquerque, NM
| | - J Christopher Edgar
- Department of Radiology, Lurie Family Foundations MEG Imaging Center, Children’s Hospital of Philadelphia, Philadelphia, PA
| | - Mingxiong Huang
- Department of Radiology, University of California, San Diego, San Diego, CA,Department of Radiology, VA San Diego Healthcare System, US Department of Veterans Affairs, San Diego, CA
| | - Peter Kochunov
- Maryland Psychiatric Research Center, The University of Maryland, Baltimore, MD
| | - Michael A Hunter
- Department of Psychology, The University of New Mexico, Albuquerque, NM,Department of Psychiatry and Behavioral Sciences, Center for Psychiatric Research, The University of New Mexico, Albuquerque, NM
| | - Cassandra Wootton
- Department of Psychiatry and Behavioral Sciences, Center for Psychiatric Research, The University of New Mexico, Albuquerque, NM
| | - Brett Y Lu
- Department of Psychiatry, University of Hawaii at Manoa, Honolulu, HI
| | - Juan Bustillo
- Department of Psychiatry and Behavioral Sciences, Center for Psychiatric Research, The University of New Mexico, Albuquerque, NM
| | - Joseph R Sadek
- Psychiatry Research, New Mexico VA Health Care System, Raymond G. Murphy VA Medical Center, US Department of Veterans Affairs, Albuquerque, NM
| | - Gregory A Miller
- Department of Psychology, University of California, Los Angeles, CA,Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, CA
| | - José M Cañive
- Department of Psychiatry and Behavioral Sciences, Center for Psychiatric Research, The University of New Mexico, Albuquerque, NM,Psychiatry Research, New Mexico VA Health Care System, Raymond G. Murphy VA Medical Center, US Department of Veterans Affairs, Albuquerque, NM
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7
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Ding Y, Ou Y, Su Q, Pan P, Shan X, Chen J, Liu F, Zhang Z, Zhao J, Guo W. Enhanced Global-Brain Functional Connectivity in the Left Superior Frontal Gyrus as a Possible Endophenotype for Schizophrenia. Front Neurosci 2019; 13:145. [PMID: 30863277 PMCID: PMC6399149 DOI: 10.3389/fnins.2019.00145] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2018] [Accepted: 02/08/2019] [Indexed: 01/04/2023] Open
Abstract
The notion of dysconnectivity in schizophrenia has been put forward for many years and results in substantial attempts to explore altered functional connectivity (FC) within different networks with inconsistent results. Clinical, demographical, and methodological heterogeneity may contribute to the inconsistency. Forty-four patients with first-episode, drug-naive schizophrenia, 42 unaffected siblings of schizophrenia patients and 44 healthy controls took part in this study. Global-brain FC (GFC) was employed to analyze the imaging data. Compared with healthy controls, patients with schizophrenia and unaffected siblings shared enhanced GFC in the left superior frontal gyrus (SFG). In addition, patients had increased GFC mainly in the thalamo-cortical network, including the bilateral thalamus, bilateral posterior cingulate cortex (PCC)/precuneus, left superior medial prefrontal cortex (MPFC), right angular gyrus, and right SFG/middle frontal gyrus and decreased GFC in the left ITG/cerebellum Crus I. No other altered GFC values were observed in the siblings group relative to the control group. Further ROC analysis showed that increased GFC in the left SFG could separate the patients or the siblings from the controls with acceptable sensitivities. Our findings suggest that increased GFC in the left SFG may serve as a potential endophenotype for schizophrenia.
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Affiliation(s)
- Yudan Ding
- Department of Psychiatry, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Yangpan Ou
- Department of Psychiatry, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Qinji Su
- Mental Health Center, The Second Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Pan Pan
- Department of Psychiatry, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Xiaoxiao Shan
- Department of Psychiatry, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Jindong Chen
- Department of Psychiatry, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Feng Liu
- Department of Radiology, Tianjin Medical University General Hospital, Tianjin, China
| | - Zhikun Zhang
- Mental Health Center, The Second Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Jingping Zhao
- Department of Psychiatry, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Wenbin Guo
- Department of Psychiatry, The Second Xiangya Hospital of Central South University, Changsha, China
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8
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Edgar JC, Fisk CL, Chen YH, Stone-Howell B, Liu S, Hunter MA, Huang M, Bustillo J, Cañive JM, Miller GA. Identifying auditory cortex encoding abnormalities in schizophrenia: The utility of low-frequency versus 40 Hz steady-state measures. Psychophysiology 2018; 55:e13074. [PMID: 29570815 DOI: 10.1111/psyp.13074] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/01/2018] [Revised: 02/15/2018] [Accepted: 02/15/2018] [Indexed: 11/28/2022]
Abstract
Magnetoencephalography (MEG) and EEG have identified poststimulus low frequency and 40 Hz steady-state auditory encoding abnormalities in schizophrenia (SZ). Negative findings have also appeared. To identify factors contributing to these inconsistencies, healthy control (HC) and SZ group differences were examined in MEG and EEG source space and EEG sensor space, with better group differentiation hypothesized for source than sensor measures given greater predictive utility for source measures. Fifty-five HC and 41 chronic SZ were presented 500 Hz sinusoidal stimuli modulated at 40 Hz during simultaneous whole-head MEG and EEG. MEG and EEG source models using left and right superior temporal gyrus (STG) dipoles estimated trial-to-trial phase similarity and percent change from prestimulus baseline. Group differences in poststimulus low-frequency activity and 40 Hz steady-state response were evaluated. Several EEG sensor analysis strategies were also examined. Poststimulus low-frequency group differences were observed across all methods. Given an age-related decrease in left STG 40 Hz steady-state activity in HC (HC > SZ), 40 Hz steady-state group differences were evident only in younger participants' source measures. Findings thus indicated that optimal data collection and analysis methods depend on the auditory encoding measure of interest. In addition, whereas results indicated that HC and SZ auditory encoding low-frequency group differences are generally comparable across modality and analysis strategy (and thus not dependent on obtaining construct-valid measures of left and right auditory cortex activity), 40 Hz steady-state group-difference findings are much more dependent on analysis strategy, with 40 Hz steady-state source-space findings providing the best group differentiation.
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Affiliation(s)
- J C Edgar
- The Children's Hospital of Philadelphia and University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Charles L Fisk
- The Children's Hospital of Philadelphia and University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Yu-Han Chen
- The Children's Hospital of Philadelphia and University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Breannan Stone-Howell
- Department of Psychiatry, The University of New Mexico School of Medicine, Center for Psychiatric Research, Albuquerque, New Mexico, USA.,New Mexico Raymond G. Murphy VA Healthcare System, Psychiatry Research, Albuquerque, New Mexico, USA
| | - Song Liu
- The Children's Hospital of Philadelphia and University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Michael A Hunter
- Department of Psychiatry, The University of New Mexico School of Medicine, Center for Psychiatric Research, Albuquerque, New Mexico, USA.,New Mexico Raymond G. Murphy VA Healthcare System, Psychiatry Research, Albuquerque, New Mexico, USA
| | - Mingxiong Huang
- Department of Radiology, University of California, San Diego, San Diego, California, USA.,Department of Radiology, San Diego VA Healthcare System, San Diego, California, USA
| | - Juan Bustillo
- Department of Psychiatry, The University of New Mexico School of Medicine, Center for Psychiatric Research, Albuquerque, New Mexico, USA
| | - José M Cañive
- Department of Psychiatry, The University of New Mexico School of Medicine, Center for Psychiatric Research, Albuquerque, New Mexico, USA.,New Mexico Raymond G. Murphy VA Healthcare System, Psychiatry Research, Albuquerque, New Mexico, USA
| | - Gregory A Miller
- Department of Psychology and Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, California, USA
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9
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Belcastro V, Pisani LR, Bellocchi S, Casiraghi P, Gorgone G, Mula M, Pisani F. Brain tumor location influences the onset of acute psychiatric adverse events of levetiracetam therapy: an observational study. J Neurol 2017; 264:921-927. [PMID: 28315958 DOI: 10.1007/s00415-017-8463-6] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2017] [Revised: 03/13/2017] [Accepted: 03/14/2017] [Indexed: 10/19/2022]
Abstract
To explore possible correlations among brain lesion location, development of psychiatric symptoms and the use of antiepileptic drugs (AEDs) in a population of patients with brain tumor and epilepsy. The medical records of 283 patients with various types of brain tumor (161 M/122 F, mean age 64.9 years) were analysed retrospectively. Patients with grade III and IV glioma, previous history of epileptic seizures and/or psychiatric disorders were excluded. Psychiatric symptoms occurring after initiation of AED therapy were considered as treatment emergent psychiatric adverse events (TE-PAEs) if they fulfilled the following conditions: (1) onset within 4 weeks after the beginning of AED therapy; (2) disappearance on drug discontinuation; (3) absence of any other identified possible concurrent cause. The possible influence of the following variables were analysed: (a) AED drug and dose; (b) location and neuroradiologic features of the tumor, (c) location and type of EEG epileptic abnormalities, (d) tumor excision already or not yet performed; (e) initiation or not of radiotherapy. TE-PAEs occurred in 27 of the 175 AED-treated patients (15.4%). Multivariate analysis showed a significant association of TE-PAEs occurrence with location of the tumor in the frontal lobe (Odds ratio: 5.56; 95% confidence interval 1.95-15.82; p value: 0.005) and treatment with levetiracetam (Odds ratio: 3.61; 95% confidence interval 1.48-8.2; p value: 0.001). Drug-unrelated acute psychiatric symptoms were observed in 4 of the 108 AED-untreated patients (3.7%) and in 7 of the 175 AED-treated patients (4%). The results of the present study suggest that an AED alternative to levetiracetam should be chosen to treat epileptic seizures in patients with a brain tumor located in the frontal lobe to minimize the possible onset of TE-PAEs.
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Affiliation(s)
| | - Laura Rosa Pisani
- Neurology Unit, "Cutrona Zodda" Hospital, Barcellona Pozzo di Gotto, ME, Italy
| | | | | | | | - Marco Mula
- Atkinson Morley Regional Neuroscience Centre, St George's University Hospitals, NHS Foundation Trust and Institute of Medical and Biomedical Sciences, St George's University of London, London, UK
| | - Francesco Pisani
- Department of Experimental and Clinical Medicine, University of Messina, Messina, Italy
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10
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Huang CW, Huang MX, Ji Z, Swan AR, Angeles AM, Song T, Huang JW, Lee RR. High-resolution MEG source imaging approach to accurately localize Broca’s area in patients with brain tumor or epilepsy. Clin Neurophysiol 2016; 127:2308-16. [DOI: 10.1016/j.clinph.2016.02.007] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2015] [Revised: 12/15/2015] [Accepted: 02/09/2016] [Indexed: 11/28/2022]
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11
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Wright C, Gupta CN, Chen J, Patel V, Calhoun VD, Ehrlich S, Wang L, Bustillo JR, Perrone-Bizzozero NI, Turner JA. Polymorphisms in MIR137HG and microRNA-137-regulated genes influence gray matter structure in schizophrenia. Transl Psychiatry 2016; 6:e724. [PMID: 26836412 PMCID: PMC4872419 DOI: 10.1038/tp.2015.211] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/07/2015] [Revised: 10/06/2015] [Accepted: 10/09/2015] [Indexed: 02/06/2023] Open
Abstract
Evidence suggests that microRNA-137 (miR-137) is involved in the genetic basis of schizophrenia. Risk variants within the miR-137 host gene (MIR137HG) influence structural and functional brain-imaging measures, and miR-137 itself is predicted to regulate hundreds of genes. We evaluated the influence of a MIR137HG risk variant (rs1625579) in combination with variants in miR-137-regulated genes TCF4, PTGS2, MAPK1 and MAPK3 on gray matter concentration (GMC). These genes were selected based on our previous work assessing schizophrenia risk within possible miR-137-regulated gene sets using the same cohort of subjects. A genetic risk score (GRS) was determined based on genotypes of these four schizophrenia risk-associated genes in 221 Caucasian subjects (89 schizophrenia patients and 132 controls). The effects of the rs1625579 genotype with the GRS of miR-137-regulated genes in a three-way interaction with diagnosis on GMC patterns were assessed using a multivariate analysis. We found that schizophrenia subjects homozygous for the MIR137HG risk allele show significant decreases in occipital, parietal and temporal lobe GMC with increasing miR-137-regulated GRS, whereas those carrying the protective minor allele show significant increases in GMC with GRS. No correlations of GMC and GRS were found in control subjects. Variants within or upstream of genes regulated by miR-137 in combination with the MIR137HG risk variant may influence GMC in schizophrenia-related regions in patients. Given that the genes evaluated here are involved in protein kinase A signaling, dysregulation of this pathway through alterations in miR-137 biogenesis may underlie the gray matter loss seen in the disease.
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Affiliation(s)
- C Wright
- The Mind Research Network, Albuquerque, NM, USA
- Department of Neurosciences, University of New Mexico, Albuquerque, NM, USA
| | - C N Gupta
- The Mind Research Network, Albuquerque, NM, USA
| | - J Chen
- The Mind Research Network, Albuquerque, NM, USA
| | - V Patel
- The Mind Research Network, Albuquerque, NM, USA
| | - V D Calhoun
- The Mind Research Network, Albuquerque, NM, USA
- Department of Neurosciences, University of New Mexico, Albuquerque, NM, USA
- Department of Electrical and Computer Engineering, University of New Mexico, Albuquerque, NM, USA
| | - S Ehrlich
- Translational Developmental Neuroscience Section, Department of Child and Adolescent Psychiatry, Faculty of Medicine, Technische Universität, Dresden, Germany
- Department of Psychiatry, Harvard Medical School, Massachusetts General Hospital, Boston, MA, USA
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, USA
| | - L Wang
- Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
- Department of Radiology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - J R Bustillo
- Department of Neurosciences, University of New Mexico, Albuquerque, NM, USA
- Department of Psychiatry and Behavioral Sciences, University of New Mexico, Albuquerque, NM, USA
| | - N I Perrone-Bizzozero
- Department of Neurosciences, University of New Mexico, Albuquerque, NM, USA
- Department of Psychiatry and Behavioral Sciences, University of New Mexico, Albuquerque, NM, USA
| | - J A Turner
- The Mind Research Network, Albuquerque, NM, USA
- Department of Psychology and Neuroscience Institute, Georgia State University, Atlanta, GA, USA
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12
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Badcock JC. A Neuropsychological Approach to Auditory Verbal Hallucinations and Thought Insertion - Grounded in Normal Voice Perception. ACTA ACUST UNITED AC 2015; 7:631-652. [PMID: 27617046 PMCID: PMC4995233 DOI: 10.1007/s13164-015-0270-3] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Abstract
A neuropsychological perspective on auditory verbal hallucinations (AVH) links key phenomenological features of the experience, such as voice location and identity, to functionally separable pathways in normal human audition. Although this auditory processing stream (APS) framework has proven valuable for integrating research on phenomenology with cognitive and neural accounts of hallucinatory experiences, it has not yet been applied to other symptoms presumed to be closely related to AVH – such as thought insertion (TI). In this paper, I propose that an APS framework offers a useful way of thinking about the experience of TI as well as AVH, providing a common conceptual framework for both. I argue that previous self-monitoring theories struggle to account for both the differences and similarities in the characteristic features of AVH and TI, which can be readily accommodated within an APS framework. Furthermore, the APS framework can be integrated with predictive processing accounts of psychotic symptoms; makes predictions about potential sites of prediction error signals; and may offer a template for understanding a range of other symptoms beyond AVH and TI.
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Affiliation(s)
- Johanna C Badcock
- Centre for Clinical Research in Neuropsychiatry, School of Psychiatry and Clinical Neurosciences, University of Western Australia, Crawley, 6009 Western Australia
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13
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Chinchalongporn V, Koppensteiner P, Prè D, Thangnipon W, Bilo L, Arancio O. Connectivity and circuitry in a dish versus in a brain. ALZHEIMERS RESEARCH & THERAPY 2015; 7:44. [PMID: 26045718 PMCID: PMC4456047 DOI: 10.1186/s13195-015-0129-y] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
In order to understand and find therapeutic strategies for neurological disorders, disease models that recapitulate the connectivity and circuitry of patients’ brain are needed. Owing to many limitations of animal disease models, in vitro neuronal models using patient-derived stem cells are currently being developed. However, prior to employing neurons as a model in a dish, they need to be evaluated for their electrophysiological properties, including both passive and active membrane properties, dynamics of neurotransmitter release, and capacity to undergo synaptic plasticity. In this review, we survey recent attempts to study these issues in human induced pluripotent stem cell-derived neurons. Although progress has been made, there are still many hurdles to overcome before human induced pluripotent stem cell-derived neurons can fully recapitulate all of the above physiological properties of adult mature neurons. Moreover, proper integration of neurons into pre-existing circuitry still needs to be achieved. Nevertheless, in vitro neuronal stem cell-derived models hold great promise for clinical application in neurological diseases in the future.
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Affiliation(s)
- Vorapin Chinchalongporn
- Department of Pathology & Cell Biology, Columbia University, New York, NY 10032 USA ; Taub Institute for Research on Alzheimer's Disease and the Aging Brain P&S Bldg, Room 12-420D, Columbia University, New York, NY 10032 USA ; Columbia Stem Cell Initiative, CUMC, New York, NY 10032 USA ; Research Center for Neuroscience, Institute of Molecular Biosciences, Mahidol University, Salaya, Nakhonpathom 73170 Thailand
| | - Peter Koppensteiner
- Department of Pathology & Cell Biology, Columbia University, New York, NY 10032 USA ; Taub Institute for Research on Alzheimer's Disease and the Aging Brain P&S Bldg, Room 12-420D, Columbia University, New York, NY 10032 USA ; Columbia Stem Cell Initiative, CUMC, New York, NY 10032 USA ; Department of Neurophysiology and Neuropharmacology, Center for Physiology and Pharmacology, Medical University of Vienna, 1090 Vienna, Austria
| | - Deborah Prè
- Department of Pathology & Cell Biology, Columbia University, New York, NY 10032 USA ; Taub Institute for Research on Alzheimer's Disease and the Aging Brain P&S Bldg, Room 12-420D, Columbia University, New York, NY 10032 USA ; Columbia Stem Cell Initiative, CUMC, New York, NY 10032 USA
| | - Wipawan Thangnipon
- Research Center for Neuroscience, Institute of Molecular Biosciences, Mahidol University, Salaya, Nakhonpathom 73170 Thailand
| | - Leonilda Bilo
- Department of Pathology & Cell Biology, Columbia University, New York, NY 10032 USA ; Taub Institute for Research on Alzheimer's Disease and the Aging Brain P&S Bldg, Room 12-420D, Columbia University, New York, NY 10032 USA ; Columbia Stem Cell Initiative, CUMC, New York, NY 10032 USA ; Department of Neurosciences, Reproductive and Odontostomatological Sciences, Federico II University of Naples, 80131 Naples, Italy
| | - Ottavio Arancio
- Department of Pathology & Cell Biology, Columbia University, New York, NY 10032 USA ; Taub Institute for Research on Alzheimer's Disease and the Aging Brain P&S Bldg, Room 12-420D, Columbia University, New York, NY 10032 USA ; Columbia Stem Cell Initiative, CUMC, New York, NY 10032 USA
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14
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Hass J, Walton E, Wright C, Beyer A, Scholz M, Turner J, Liu J, Smolka MN, Roessner V, Sponheim SR, Gollub RL, Calhoun VD, Ehrlich S. Associations between DNA methylation and schizophrenia-related intermediate phenotypes - a gene set enrichment analysis. Prog Neuropsychopharmacol Biol Psychiatry 2015; 59:31-39. [PMID: 25598502 PMCID: PMC4346504 DOI: 10.1016/j.pnpbp.2015.01.006] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/23/2014] [Revised: 01/06/2015] [Accepted: 01/13/2015] [Indexed: 12/18/2022]
Abstract
Multiple genetic approaches have identified microRNAs as key effectors in psychiatric disorders as they post-transcriptionally regulate expression of thousands of target genes. However, their role in specific psychiatric diseases remains poorly understood. In addition, epigenetic mechanisms such as DNA methylation, which affect the expression of both microRNAs and coding genes, are critical for our understanding of molecular mechanisms in schizophrenia. Using clinical, imaging, genetic, and epigenetic data of 103 patients with schizophrenia and 111 healthy controls of the Mind Clinical Imaging Consortium (MCIC) study of schizophrenia, we conducted gene set enrichment analysis to identify markers for schizophrenia-associated intermediate phenotypes. Genes were ranked based on the correlation between DNA methylation patterns and each phenotype, and then searched for enrichment in 221 predicted microRNA target gene sets. We found the predicted hsa-miR-219a-5p target gene set to be significantly enriched for genes (EPHA4, PKNOX1, ESR1, among others) whose methylation status is correlated with hippocampal volume independent of disease status. Our results were strengthened by significant associations between hsa-miR-219a-5p target gene methylation patterns and hippocampus-related neuropsychological variables. IPA pathway analysis of the respective predicted hsa-miR-219a-5p target genes revealed associated network functions in behavior and developmental disorders. Altered methylation patterns of predicted hsa-miR-219a-5p target genes are associated with a structural aberration of the brain that has been proposed as a possible biomarker for schizophrenia. The (dys)regulation of microRNA target genes by epigenetic mechanisms may confer additional risk for developing psychiatric symptoms. Further study is needed to understand possible interactions between microRNAs and epigenetic changes and their impact on risk for brain-based disorders such as schizophrenia.
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Affiliation(s)
- Johanna Hass
- Translational Developmental Neuroscience Section, Department of Child and Adolescent Psychiatry, Faculty of Medicine of the TU Dresden, Dresden, Germany
| | - Esther Walton
- Translational Developmental Neuroscience Section, Department of Child and Adolescent Psychiatry, Faculty of Medicine of the TU Dresden, Dresden, Germany
| | - Carrie Wright
- Department of Neurosciences, Health Sciences Center, University of New Mexico, Albuquerque, NM, USA,The Mind Research Network, Albuquerque, NM USA
| | - Andreas Beyer
- Cellular Networks and Systems Biology, Biotechnology Center, TU Dresden, Dresden, Germany,University of Cologne, CECAD, Cologne, Germany
| | - Markus Scholz
- Institute for Medical Informatics, Statistics and Epidemiology (IMISE), University of Leipzig, Leipzig, Germany,LIFE (Leipzig Interdisciplinary Research Cluster of Genetic Factors, Phenotypes and Environment), University of Leipzig, Leipzig, Germany
| | - Jessica Turner
- The Mind Research Network, Albuquerque, NM USA,Psychology Department, University of New Mexico, Albuquerque, NM, USA
| | - Jingyu Liu
- The Mind Research Network, Albuquerque, NM USA,Department of Electrical and Computer Engineering, University of New Mexico, Albuquerque, NM USA
| | - Michael N. Smolka
- Department of Psychiatry, Faculty of Medicine of the TU Dresden, Dresden, Germany
| | - Veit Roessner
- Translational Developmental Neuroscience Section, Department of Child and Adolescent Psychiatry, Faculty of Medicine of the TU Dresden, Dresden, Germany
| | - Scott R. Sponheim
- Department of Psychiatry and the Center for magnetic Resonance Research, University of Minnesota, Minneapolis, MN USA
| | - Randy L. Gollub
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA USA,MGH/MIT/HMS Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA USA
| | - Vince D. Calhoun
- The Mind Research Network, Albuquerque, NM USA,Department of Electrical and Computer Engineering, University of New Mexico, Albuquerque, NM USA
| | - Stefan Ehrlich
- Translational Developmental Neuroscience Section, Department of Child and Adolescent Psychiatry, Faculty of Medicine, TU Dresden, Dresden, Germany; Department of Psychiatry, Massachusetts General Hospital, Boston, MA USA; MGH/MIT/HMS Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA USA.
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15
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Carolus AM, Schubring D, Popov TG, Popova P, Miller GA, Rockstroh BS. Functional cognitive and cortical abnormalities in chronic and first-admission schizophrenia. Schizophr Res 2014; 157:40-7. [PMID: 24933246 DOI: 10.1016/j.schres.2014.05.012] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/22/2013] [Revised: 04/24/2014] [Accepted: 05/07/2014] [Indexed: 11/19/2022]
Abstract
Evoked and induced event-related neural oscillations have recently been proposed as a key mechanism supporting higher-order cognition. Cognitive decay and abnormal electromagnetic sensory gating reliably distinguish schizophrenia (SZ) patients and healthy individuals, demonstrated in chronic (CHR) and first-admission (FA) patients. Not yet determined is whether altered event-related modulation of oscillatory activity is manifested at early stages of SZ, thus reflects and perhaps embodies the development of psychopathology, and provides a mechanism for the gating deficit. The present study compared behavioral and functional brain measures in CHR and FA samples. Cognitive test performance (MATRICS Consortium Cognitive Battery, MCCB), neuromagnetic event-related fields (M50 gating ratio), and oscillatory dynamics (evoked and induced modulation of 8-12Hz alpha) during a paired-click task were assessed in 35 CHR and 31 FA patients meeting the criteria for ICD-10 diagnoses of schizophrenia as well as 28 healthy comparison subjects (HC). Both patient groups displayed poorer cognitive performance, higher M50 ratio (poorer sensory gating), and less induced modulation of alpha activity than did HC. Induced alpha power decrease in bilateral posterior regions varied with M50 ratio in HC but not SZ, whereas orbitofrontal alpha power decrease was related to M50 ratio in SZ but not HC. Results suggest disruption of oscillatory dynamics at early stages of illness, which may contribute to deficient information sampling, memory updating, and higher cognitive functioning.
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Affiliation(s)
| | | | | | - Petia Popova
- Department of Psychology, University of Konstanz, Germany.
| | - Gregory A Miller
- Department of Psychology and Psychiatry, UCLA, USA; Department of Biobehavioral Sciences, UCLA, USA.
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16
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Sanfratello L, Caprihan A, Stephen JM, Knoefel JE, Adair JC, Qualls C, Lundy SL, Aine CJ. Same task, different strategies: how brain networks can be influenced by memory strategy. Hum Brain Mapp 2014; 35:5127-40. [PMID: 24931401 DOI: 10.1002/hbm.22538] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2014] [Revised: 04/04/2014] [Accepted: 04/15/2014] [Indexed: 11/07/2022] Open
Abstract
Previous functional neuroimaging studies demonstrated that different neural networks underlie different types of cognitive processing by engaging participants in particular tasks, such as verbal or spatial working memory (WM) tasks. However, we report here that even when a WM task is defined as verbal or spatial, different types of memory strategies may be used to complete it, with concomitant variations in brain activity. We developed a questionnaire to characterize the type of strategy used by individual members in a group of 28 young healthy participants (18-25 years) during a spatial WM task. A cluster analysis was performed to differentiate groups. We acquired functional magnetoencephalography and structural diffusion tensor imaging measures to characterize the brain networks associated with the use of different strategies. We found two types of strategies were used during the spatial WM task, a visuospatial and a verbal strategy, and brain regions and time courses of activation differed between participants who used each. Task performance also varied by type of strategy used with verbal strategies showing an advantage. In addition, performance on neuropsychological tests (indices from Wechsler Adult Intelligence Scale-IV, Rey Complex Figure Test) correlated significantly with fractional anisotropy measures for the visuospatial strategy group in white matter tracts implicated in other WM and attention studies. We conclude that differences in memory strategy can have a pronounced effect on the locations and timing of brain activation and that these differences need further investigation as a possible confounding factor for studies using group averaging as a means for summarizing results.
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Affiliation(s)
- Lori Sanfratello
- Department of Radiology, University of New Mexico School of Medicine, Albuquerque, New Mexico
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17
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Edgar JC, Chen YH, Lanza M, Howell B, Chow VY, Heiken K, Liu S, Wootton C, Hunter MA, Huang M, Miller GA, Cañive JM. Cortical thickness as a contributor to abnormal oscillations in schizophrenia? NEUROIMAGE-CLINICAL 2013; 4:122-9. [PMID: 24371794 PMCID: PMC3871288 DOI: 10.1016/j.nicl.2013.11.004] [Citation(s) in RCA: 55] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/07/2013] [Revised: 11/06/2013] [Accepted: 11/12/2013] [Indexed: 11/25/2022]
Abstract
Introduction Although brain rhythms depend on brain structure (e.g., gray and white matter), to our knowledge associations between brain oscillations and structure have not been investigated in healthy controls (HC) or in individuals with schizophrenia (SZ). Observing function–structure relationships, for example establishing an association between brain oscillations (defined in terms of amplitude or phase) and cortical gray matter, might inform models on the origins of psychosis. Given evidence of functional and structural abnormalities in primary/secondary auditory regions in SZ, the present study examined how superior temporal gyrus (STG) structure relates to auditory STG low-frequency and 40 Hz steady-state activity. Given changes in brain activity as a function of age, age-related associations in STG oscillatory activity were also examined. Methods Thirty-nine individuals with SZ and 29 HC were recruited. 40 Hz amplitude-modulated tones of 1 s duration were presented. MEG and T1-weighted sMRI data were obtained. Using the sources localizing 40 Hz evoked steady-state activity (300 to 950 ms), left and right STG total power and inter-trial coherence were computed. Time–frequency group differences and associations with STG structure and age were also examined. Results Decreased total power and inter-trial coherence in SZ were observed in the left STG for initial post-stimulus low-frequency activity (~ 50 to 200 ms, ~ 4 to 16 Hz) as well as 40 Hz steady-state activity (~ 400 to 1000 ms). Left STG 40 Hz total power and inter-trial coherence were positively associated with left STG cortical thickness in HC, not in SZ. Left STG post-stimulus low-frequency and 40 Hz total power were positively associated with age, again only in controls. Discussion Left STG low-frequency and steady-state gamma abnormalities distinguish SZ and HC. Disease-associated damage to STG gray matter in schizophrenia may disrupt the age-related left STG gamma-band function–structure relationships observed in controls. Associations between brain oscillations and structure were investigated in SZ The present study examined how superior temporal gyrus (STG) structure and agerelate to auditory STG low-frequency and 40 Hz steady-state activity Decreased total power and inter-trial coherence in SZ were observed in the left STG for early low-frequency activity (~ 50 to 200 ms, ~ 4 to 16 Hz) as well as 40 Hz steady-state activity (~ 400 to 1000 ms) Left STG 40 Hz total power and inter-trial coherence were positively associated with left STG cortical thickness in HC, not in SZ Disease-associated damage to STG gray matter in schizophrenia may disrupt the age-related left STG function-structure relationships observed in controls.
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Affiliation(s)
- J Christopher Edgar
- The Children's Hospital of Philadelphia and University of Pennsylvania, Philadelphia, PA, USA
| | - Yu-Han Chen
- The University of New Mexico School of Medicine, Department of Psychiatry, Center for Psychiatric Research, Albuquerque, NM, USA ; New Mexico Raymond G. Murphy VA Healthcare System, Psychiatry Research, Albuquerque, NM, USA
| | - Matthew Lanza
- The Children's Hospital of Philadelphia and University of Pennsylvania, Philadelphia, PA, USA
| | - Breannan Howell
- The University of New Mexico School of Medicine, Department of Psychiatry, Center for Psychiatric Research, Albuquerque, NM, USA ; New Mexico Raymond G. Murphy VA Healthcare System, Psychiatry Research, Albuquerque, NM, USA
| | - Vivian Y Chow
- The Children's Hospital of Philadelphia and University of Pennsylvania, Philadelphia, PA, USA
| | - Kory Heiken
- The Children's Hospital of Philadelphia and University of Pennsylvania, Philadelphia, PA, USA
| | - Song Liu
- The Children's Hospital of Philadelphia and University of Pennsylvania, Philadelphia, PA, USA
| | - Cassandra Wootton
- The University of New Mexico School of Medicine, Department of Psychiatry, Center for Psychiatric Research, Albuquerque, NM, USA ; New Mexico Raymond G. Murphy VA Healthcare System, Psychiatry Research, Albuquerque, NM, USA
| | - Michael A Hunter
- The University of New Mexico School of Medicine, Department of Psychiatry, Center for Psychiatric Research, Albuquerque, NM, USA ; New Mexico Raymond G. Murphy VA Healthcare System, Psychiatry Research, Albuquerque, NM, USA
| | - Mingxiong Huang
- The University of California San Diego, Department of Radiology, San Diego, CA, USA ; San Diego VA Healthcare System, Department of Radiology, San Diego, CA, USA
| | - Gregory A Miller
- University of California, Los Angeles, Department of Psychology, USA
| | - José M Cañive
- The University of New Mexico School of Medicine, Department of Psychiatry, Center for Psychiatric Research, Albuquerque, NM, USA ; New Mexico Raymond G. Murphy VA Healthcare System, Psychiatry Research, Albuquerque, NM, USA
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18
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Affiliation(s)
- Gregory A. Miller
- Department of Psychology, University of Delaware, Newark, Delaware 19716;
- Zukunftskolleg, University of Konstanz, 78457 Konstanz, Germany
- Department of Psychology and Beckman Institute, University of Illinois at Urbana-Champaign, Illinois 61820
| | - Brigitte Rockstroh
- Department of Psychology, University of Konstanz, 78457 Konstanz, Germany;
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