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Kolomeets NS, Uranova NA. Deficit of satellite oligodendrocytes of neurons in the rostral part of the head of the caudate nucleus in schizophrenia. Eur Arch Psychiatry Clin Neurosci 2024:10.1007/s00406-024-01869-x. [PMID: 39073446 DOI: 10.1007/s00406-024-01869-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/26/2024] [Accepted: 07/15/2024] [Indexed: 07/30/2024]
Abstract
Increasing evidence implicates compromised myelin integrity and oligodendrocyte abnormalities in the dysfunction of neuronal networks in schizophrenia. We previously reported a deficiency of myelinating oligodendrocytes (OL), oligodendrocyte progenitors (OP) and satellite oligodendrocytes of neurons (Sat-OL) in the prefrontal cortex and the inferior parietal cortex - cortical hubs of the frontoparietal cognitive network and default mode network (DMN) altered in schizophrenia. Deficiency of OL and OP was also detected in the head of the caudate nucleus (HCN), which accumulates cortical projections from the associative cortex and is the central node of these networks. However, the number of Sat-Ol per neuron in schizophrenia has not been studied in the HCN. In the current study we estimated the number of Sat-Ol per neuron in the rostral part of the HCN in schizophrenia (n = 18) compared to healthy controls (n = 18) in the same section collection that was previously used to study the number Ol and OP. We found a significant decrease of the number of Sat-Ol per neuron (- 50%, p < 0.001) in schizophrenia as compared to normal controls. Considering that the rostral part of the HCN is an individual network-specific projection zone of the DMN, the deficit of Sat-Ol found in schizophrenia may be related to the dysfunctional DMN-HCN connections, which has been repeatedly described in schizophrenia. The dramatic decrease of the number of Sat-Ol per neuron may be partially related to a pronounced excess of dopamine concentration in the rostral part of the HCN in schizophrenia.
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Affiliation(s)
- N S Kolomeets
- Laboratory of Clinical Neuropathology, Mental Health Research Center, Kashirskoe shosse 34, Moscow, 115522, Russia
| | - N A Uranova
- Laboratory of Clinical Neuropathology, Mental Health Research Center, Kashirskoe shosse 34, Moscow, 115522, Russia.
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Tuovinen T, Häkli J, Rytty R, Krüger J, Korhonen V, Järvelä M, Helakari H, Kananen J, Nikkinen J, Veijola J, Remes AM, Kiviniemi V. The relative brain signal variability increases in the behavioral variant of frontotemporal dementia and Alzheimer's disease but not in schizophrenia. J Cereb Blood Flow Metab 2024:271678X241262583. [PMID: 38897598 DOI: 10.1177/0271678x241262583] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 06/21/2024]
Abstract
Overlapping symptoms between Alzheimer's disease (AD), behavioral variant of frontotemporal dementia (bvFTD), and schizophrenia (SZ) can lead to misdiagnosis and delays in appropriate treatment, especially in cases of early-onset dementia. To determine the potential of brain signal variability as a diagnostic tool, we assessed the coefficient of variation of the BOLD signal (CVBOLD) in 234 participants spanning bvFTD (n = 53), AD (n = 17), SZ (n = 23), and controls (n = 141). All underwent functional and structural MRI scans. Data unveiled a notable increase in CVBOLD in bvFTD patients across both datasets (local and international, p < 0.05), revealing an association with clinical scores (CDR and MMSE, r = 0.46 and r = -0.48, p < 0.0001). While SZ and control group demonstrated no significant differences, a comparative analysis between AD and bvFTD patients spotlighted elevated CVBOLD in the frontopolar cortices for the latter (p < 0.05). Furthermore, CVBOLD not only presented excellent diagnostic accuracy for bvFTD (AUC 0.78-0.95) but also showcased longitudinal repeatability. During a one-year follow-up, the CVBOLD levels increased by an average of 35% in the bvFTD group, compared to a 2% increase in the control group (p < 0.05). Our findings suggest that CVBOLD holds promise as a biomarker for bvFTD, offering potential for monitoring disease progression and differentiating bvFTD from AD and SZ.
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Affiliation(s)
- Timo Tuovinen
- Oulu Functional NeuroImaging, Research Unit of Health Sciences and Technology, University of Oulu, Oulu, Finland
- Medical Research Center, Oulu University Hospital, The Wellbeing Services County of North Ostrobothnia, Oulu, Finland
| | - Jani Häkli
- Oulu Functional NeuroImaging, Research Unit of Health Sciences and Technology, University of Oulu, Oulu, Finland
- Medical Research Center, Oulu University Hospital, The Wellbeing Services County of North Ostrobothnia, Oulu, Finland
| | - Riikka Rytty
- Oulu Functional NeuroImaging, Research Unit of Health Sciences and Technology, University of Oulu, Oulu, Finland
- Neurology, Hyvinkää Hospital, The Wellbeing Services County of Central Uusimaa, Hyvinkää, Finland
| | - Johanna Krüger
- Medical Research Center, Oulu University Hospital, The Wellbeing Services County of North Ostrobothnia, Oulu, Finland
- Research Unit of Clinical Medicine, Neurology, University of Oulu, Oulu, Finland
- Neurology, Neurocenter, Oulu University Hospital, The Wellbeing Services County of North Ostrobothnia, Oulu, Finland
| | - Vesa Korhonen
- Oulu Functional NeuroImaging, Research Unit of Health Sciences and Technology, University of Oulu, Oulu, Finland
- Medical Research Center, Oulu University Hospital, The Wellbeing Services County of North Ostrobothnia, Oulu, Finland
| | - Matti Järvelä
- Oulu Functional NeuroImaging, Research Unit of Health Sciences and Technology, University of Oulu, Oulu, Finland
- Medical Research Center, Oulu University Hospital, The Wellbeing Services County of North Ostrobothnia, Oulu, Finland
| | - Heta Helakari
- Oulu Functional NeuroImaging, Research Unit of Health Sciences and Technology, University of Oulu, Oulu, Finland
- Medical Research Center, Oulu University Hospital, The Wellbeing Services County of North Ostrobothnia, Oulu, Finland
| | - Janne Kananen
- Oulu Functional NeuroImaging, Research Unit of Health Sciences and Technology, University of Oulu, Oulu, Finland
- Medical Research Center, Oulu University Hospital, The Wellbeing Services County of North Ostrobothnia, Oulu, Finland
- Clinical Neurophysiology, Oulu University Hospital, The Wellbeing Services County of North Ostrobothnia, Oulu, Finland
| | - Juha Nikkinen
- Medical Research Center, Oulu University Hospital, The Wellbeing Services County of North Ostrobothnia, Oulu, Finland
- Department of Oncology and Radiotherapy, Oulu University Hospital, The Wellbeing Services County of North Ostrobothnia, Oulu, Finland
| | - Juha Veijola
- Medical Research Center, Oulu University Hospital, The Wellbeing Services County of North Ostrobothnia, Oulu, Finland
- Research Unit of Clinical Medicine, Department of Psychiatry, University of Oulu, Oulu, Finland
- Department of Psychiatry, Oulu University Hospital, The Wellbeing Services County of North Ostrobothnia, Oulu, Finland
| | - Anne M Remes
- Research Unit of Clinical Medicine, Neurology, University of Oulu, Oulu, Finland
- Clinical Neurosciences, University of Helsinki, Helsinki, Finland
| | - Vesa Kiviniemi
- Oulu Functional NeuroImaging, Research Unit of Health Sciences and Technology, University of Oulu, Oulu, Finland
- Medical Research Center, Oulu University Hospital, The Wellbeing Services County of North Ostrobothnia, Oulu, Finland
- Biocenter Oulu, University of Oulu, Oulu, Finland
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Voineskos AN, Hawco C, Neufeld NH, Turner JA, Ameis SH, Anticevic A, Buchanan RW, Cadenhead K, Dazzan P, Dickie EW, Gallucci J, Lahti AC, Malhotra AK, Öngür D, Lencz T, Sarpal DK, Oliver LD. Functional magnetic resonance imaging in schizophrenia: current evidence, methodological advances, limitations and future directions. World Psychiatry 2024; 23:26-51. [PMID: 38214624 PMCID: PMC10786022 DOI: 10.1002/wps.21159] [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] [Indexed: 01/13/2024] Open
Abstract
Functional neuroimaging emerged with great promise and has provided fundamental insights into the neurobiology of schizophrenia. However, it has faced challenges and criticisms, most notably a lack of clinical translation. This paper provides a comprehensive review and critical summary of the literature on functional neuroimaging, in particular functional magnetic resonance imaging (fMRI), in schizophrenia. We begin by reviewing research on fMRI biomarkers in schizophrenia and the clinical high risk phase through a historical lens, moving from case-control regional brain activation to global connectivity and advanced analytical approaches, and more recent machine learning algorithms to identify predictive neuroimaging features. Findings from fMRI studies of negative symptoms as well as of neurocognitive and social cognitive deficits are then reviewed. Functional neural markers of these symptoms and deficits may represent promising treatment targets in schizophrenia. Next, we summarize fMRI research related to antipsychotic medication, psychotherapy and psychosocial interventions, and neurostimulation, including treatment response and resistance, therapeutic mechanisms, and treatment targeting. We also review the utility of fMRI and data-driven approaches to dissect the heterogeneity of schizophrenia, moving beyond case-control comparisons, as well as methodological considerations and advances, including consortia and precision fMRI. Lastly, limitations and future directions of research in the field are discussed. Our comprehensive review suggests that, in order for fMRI to be clinically useful in the care of patients with schizophrenia, research should address potentially actionable clinical decisions that are routine in schizophrenia treatment, such as which antipsychotic should be prescribed or whether a given patient is likely to have persistent functional impairment. The potential clinical utility of fMRI is influenced by and must be weighed against cost and accessibility factors. Future evaluations of the utility of fMRI in prognostic and treatment response studies may consider including a health economics analysis.
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Affiliation(s)
- Aristotle N Voineskos
- Campbell Family Mental Health Research Institute and Brain Health Imaging Centre, Centre for Addiction and Mental Health, Toronto, ON, Canada
- Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
| | - Colin Hawco
- Campbell Family Mental Health Research Institute and Brain Health Imaging Centre, Centre for Addiction and Mental Health, Toronto, ON, Canada
- Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
| | - Nicholas H Neufeld
- Campbell Family Mental Health Research Institute and Brain Health Imaging Centre, Centre for Addiction and Mental Health, Toronto, ON, Canada
- Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
| | - Jessica A Turner
- Department of Psychiatry and Behavioral Health, Wexner Medical Center, Ohio State University, Columbus, OH, USA
| | - Stephanie H Ameis
- Campbell Family Mental Health Research Institute and Brain Health Imaging Centre, Centre for Addiction and Mental Health, Toronto, ON, Canada
- Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
- Cundill Centre for Child and Youth Depression and McCain Centre for Child, Youth and Family Mental Health, Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Alan Anticevic
- Interdepartmental Neuroscience Program, Yale University, New Haven, CT, USA
- Department of Psychiatry, Yale University, New Haven, CT, USA
| | - Robert W Buchanan
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Kristin Cadenhead
- Department of Psychiatry, University of California San Diego, La Jolla, CA, USA
| | - Paola Dazzan
- Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Erin W Dickie
- Campbell Family Mental Health Research Institute and Brain Health Imaging Centre, Centre for Addiction and Mental Health, Toronto, ON, Canada
- Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
| | - Julia Gallucci
- Campbell Family Mental Health Research Institute and Brain Health Imaging Centre, Centre for Addiction and Mental Health, Toronto, ON, Canada
- Institute of Medical Science, University of Toronto, Toronto, ON, Canada
| | - Adrienne C Lahti
- Department of Psychiatry and Behavioral Neurobiology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Anil K Malhotra
- Institute for Behavioral Science, Feinstein Institutes for Medical Research, Manhasset, NY, USA
- Department of Psychiatry, Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA
- Department of Molecular Medicine, Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA
- Department of Psychiatry, Zucker Hillside Hospital Division of Northwell Health, Glen Oaks, NY, USA
| | - Dost Öngür
- McLean Hospital/Harvard Medical School, Belmont, MA, USA
| | - Todd Lencz
- Institute for Behavioral Science, Feinstein Institutes for Medical Research, Manhasset, NY, USA
- Department of Psychiatry, Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA
- Department of Molecular Medicine, Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA
- Department of Psychiatry, Zucker Hillside Hospital Division of Northwell Health, Glen Oaks, NY, USA
| | - Deepak K Sarpal
- Department of Psychiatry, School of Medicine, University of Pittsburgh, Pittsburgh, PA, USA
| | - Lindsay D Oliver
- Campbell Family Mental Health Research Institute and Brain Health Imaging Centre, Centre for Addiction and Mental Health, Toronto, ON, Canada
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Stoyanov D, Paunova R, Dichev J, Kandilarova S, Khorev V, Kurkin S. Functional magnetic resonance imaging study of group independent components underpinning item responses to paranoid-depressive scale. World J Clin Cases 2023; 11:8458-8474. [PMID: 38188204 PMCID: PMC10768520 DOI: 10.12998/wjcc.v11.i36.8458] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/26/2023] [Revised: 11/10/2023] [Accepted: 12/05/2023] [Indexed: 12/22/2023] Open
Abstract
BACKGROUND Our study expand upon a large body of evidence in the field of neuropsychiatric imaging with cognitive, affective and behavioral tasks, adapted for the functional magnetic resonance imaging (MRI) (fMRI) experimental environment. There is sufficient evidence that common networks underpin activations in task-based fMRI across different mental disorders. AIM To investigate whether there exist specific neural circuits which underpin differential item responses to depressive, paranoid and neutral items (DN) in patients respectively with schizophrenia (SCZ) and major depressive disorder (MDD). METHODS 60 patients were recruited with SCZ and MDD. All patients have been scanned on 3T magnetic resonance tomography platform with functional MRI paradigm, comprised of block design, including blocks with items from diagnostic paranoid (DP), depression specific (DS) and DN from general interest scale. We performed a two-sample t-test between the two groups-SCZ patients and depressive patients. Our purpose was to observe different brain networks which were activated during a specific condition of the task, respectively DS, DP, DN. RESULTS Several significant results are demonstrated in the comparison between SCZ and depressive groups while performing this task. We identified one component that is task-related and independent of condition (shared between all three conditions), composed by regions within the temporal (right superior and middle temporal gyri), frontal (left middle and inferior frontal gyri) and limbic/salience system (right anterior insula). Another component is related to both diagnostic specific conditions (DS and DP) e.g. It is shared between DEP and SCZ, and includes frontal motor/language and parietal areas. One specific component is modulated preferentially by to the DP condition, and is related mainly to prefrontal regions, whereas other two components are significantly modulated with the DS condition and include clusters within the default mode network such as posterior cingulate and precuneus, several occipital areas, including lingual and fusiform gyrus, as well as parahippocampal gyrus. Finally, component 12 appeared to be unique for the neutral condition. In addition, there have been determined circuits across components, which are either common, or distinct in the preferential processing of the sub-scales of the task. CONCLUSION This study has delivers further evidence in support of the model of trans-disciplinary cross-validation in psychiatry.
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Affiliation(s)
- Drozdstoy Stoyanov
- Department of Psychiatry, Medical University Plovdiv, Plovdiv 4000, Bulgaria
| | - Rositsa Paunova
- Research Institute, Medical University, Plovdiv 4002, Bulgaria
| | - Julian Dichev
- Faculty of Medicine, Medical University, Plovdiv 4002, Bulgaria
| | - Sevdalina Kandilarova
- Department of Psychiatry and Medical Psychology, Medical University, Plovdiv 4002, Bulgaria
| | - Vladimir Khorev
- Baltic Center for Artificial Intelligence and Neurotechnology, Immanuel Kant Baltic Federal University, Kaliningrad 236041, Russia
| | - Semen Kurkin
- Baltic Center for Artificial Intelligence and Neurotechnology, Immanuel Kant Baltic Federal University, Kaliningrad 236041, Russia
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Zhu T, Wang Z, Wu W, Ling Y, Wang Z, Zhou C, Fang X, Huang C, Xie C, Chen J, Zhang X. Altered brain functional networks in schizophrenia with persistent negative symptoms: an activation likelihood estimation meta-analysis. Front Hum Neurosci 2023; 17:1204632. [PMID: 37954938 PMCID: PMC10637389 DOI: 10.3389/fnhum.2023.1204632] [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: 04/12/2023] [Accepted: 10/10/2023] [Indexed: 11/14/2023] Open
Abstract
Objective To investigate brain structural and functional characteristics of three brain functional networks including default mode network (DMN), central executive network (CEN), and salience network (SN) in persistent negative symptoms (PNS) patients. Methods We performed an activation likelihood estimation (ALE) meta-analysis of functional connectivity (FC) studies and voxel-based morphometry (VBM) studies to detect specific structural and functional alterations of brain networks between PNS patients and healthy controls. Results Seventeen VBM studies and twenty FC studies were included. In the DMN, PNS patients showed decreased gray matter in the bilateral medial frontal gyrus and left anterior cingulate gyrus and a significant reduction of FC in the right precuneus. Also, PNS patients had a decrease of gray matter in the left inferior parietal lobules and medial frontal gyrus, and a significant reduction of FC in the bilateral superior frontal gyrus in the CEN. In comparison with healthy controls, PNS patients exhibited reduced gray matter in the bilateral insula, anterior cingulate gyrus, left precentral gyrus and right claustrum and lower FC in these brain areas in the SN, including the left insula, claustrum, inferior frontal gyrus and extra-nuclear. Conclusion This meta-analysis reveals brain structural and functional imaging alterations in the three networks and the interaction among these networks in PNS patients, which provides neuroscientific evidence for more personalized treatment.Systematic Review RegistrationThe PROSPERO (https://www.crd.york.ac.uk/PROSPERO/, registration number: CRD42022335962).
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Affiliation(s)
- Tingting Zhu
- Department of Psychiatry, The Third People’s Hospital of Huai’an, Huaian, Jiangsu, China
- Department of Geriatric Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Zengxiu Wang
- Department of Hepatology, The Second Hospital of Nanjing, Nanjing University of Chinese Medicine, Nanjing, China
| | - Weifeng Wu
- Department of Hepatology, The Second Hospital of Nanjing, Nanjing University of Chinese Medicine, Nanjing, China
| | - Yuru Ling
- Department of Geriatric Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Zixu Wang
- Department of Geriatric Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Chao Zhou
- Department of Geriatric Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Xinyu Fang
- Department of Geriatric Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Chengbing Huang
- Department of Psychiatry, The Third People’s Hospital of Huai’an, Huaian, Jiangsu, China
- Department of Geriatric Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Chunming Xie
- Department of Neurology, Affiliated Zhongda Hospital, School of Medicine Southeast University, Nanjing, China
| | - Jiu Chen
- Institute of Neuropsychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Xiangrong Zhang
- Department of Geriatric Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
- The Affiliated Xuzhou Oriental Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China
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Rong B, Huang H, Gao G, Sun L, Zhou Y, Xiao L, Wang H, Wang G. Widespread Intra- and Inter-Network Dysconnectivity among Large-Scale Resting State Networks in Schizophrenia. J Clin Med 2023; 12:jcm12093176. [PMID: 37176617 PMCID: PMC10179370 DOI: 10.3390/jcm12093176] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2023] [Revised: 03/08/2023] [Accepted: 04/07/2023] [Indexed: 05/15/2023] Open
Abstract
Schizophrenia is characterized by the distributed dysconnectivity of resting-state multiple brain networks. However, the abnormalities of intra- and inter-network functional connectivity (FC) in schizophrenia and its relationship to symptoms remain unknown. The aim of the present study is to compare the intra- and inter-connectivity of the intrinsic networks between a large sample of patients with schizophrenia and healthy controls. Using the Region of interest (ROI) to ROI FC analyses, the intra- and inter-network FC of the eight resting state networks [default mode network (DMN); salience network (SN); frontoparietal network (FPN); dorsal attention network (DAN); language network (LN); visual network (VN); sensorimotor network (SMN); and cerebellar network (CN)] were investigated in 196 schizophrenia and 169-healthy controls. Compared to the healthy control group, the schizophrenia group exhibited increased intra-network FC in the DMN and decreased intra-network FC in the CN. Additionally, the schizophrenia group showed the decreased inter-network FC mainly involved the SN-DMN, SN-LN and SN-CN while increased inter-network FC in the SN-SMN and SN-DAN (p < 0.05, FDR-corrected). Our study suggests widespread intra- and inter-network dysconnectivity among large-scale RSNs in schizophrenia, mainly involving the DMN, SN and SMN, which may further contribute to the dysconnectivity hypothesis of schizophrenia.
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Affiliation(s)
- Bei Rong
- Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan 430060, China
- Institute of Neuropsychiatry, Renmin Hospital of Wuhan University, Wuhan 430060, China
| | - Huan Huang
- Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan 430060, China
| | - Guoqing Gao
- Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan 430060, China
| | - Limin Sun
- Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan 430060, China
- Institute of Neuropsychiatry, Renmin Hospital of Wuhan University, Wuhan 430060, China
| | - Yuan Zhou
- Institute of Psychology, CAS Key Laboratory of Behavioral Science, Beijing 100101, China
| | - Ling Xiao
- Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan 430060, China
- Institute of Neuropsychiatry, Renmin Hospital of Wuhan University, Wuhan 430060, China
| | - Huiling Wang
- Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan 430060, China
| | - Gaohua Wang
- Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan 430060, China
- Institute of Neuropsychiatry, Renmin Hospital of Wuhan University, Wuhan 430060, China
- Taikang Center for Life and Medical Sciences, Wuhan University, Wuhan 430071, China
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7
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Chen Y, Guo H, Yue W. Shared genetic loci and causal relations between schizophrenia and obsessive-compulsive disorder. SCHIZOPHRENIA (HEIDELBERG, GERMANY) 2023; 9:20. [PMID: 37029179 PMCID: PMC10082206 DOI: 10.1038/s41537-023-00348-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/08/2023] [Accepted: 03/15/2023] [Indexed: 04/09/2023]
Abstract
Based on the clinical overlap between schizophrenia (SCZ) and obsessive-compulsive disorder (OCD), both disorders may share neurobiological substrates. In this study, we first analyzed recent large genome-wide associations studies (GWAS) on SCZ (n = 53,386, Psychiatric Genomics Consortium Wave 3) and OCD (n = 2688, the International Obsessive-Compulsive Disorder Foundation Genetics Collaborative (IOCDF-GC) and the OCD Collaborative Genetics Association Study (OCGAS)) using a conjunctional false discovery rate (FDR) approach to evaluate overlap in common genetic variants of European descent. Using a variety of biological resources, we functionally characterized the identified genomic loci. Then we used two-sample Mendelian randomization (MR) to estimate the bidirectional causal association between SCZ and OCD. Results showed that there is a positive genetic correlation between SCZ and OCD (rg = 0.36, P = 0.02). We identified that one genetic locus (lead SNP rs5757717 in an intergenic region at CACNA1I) was jointly associated with SCZ and OCD (conjFDR = 2.12 × 10-2). Mendelian randomization results showed that variants associated with increased risk for SCZ also increased the risk of OCD. This study broadens our understanding of the genetic architectures underpinning SCZ and OCD and suggests that the same molecular genetic processes may be responsible for shared pathophysiological and clinical characteristics between the two disorders.
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Affiliation(s)
- Yu Chen
- Department of Psychiatry, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, Henan, 453002, China
| | - Hua Guo
- Zhumadian second people's hospital, Henan, 463899, China.
| | - Weihua Yue
- Institute of Mental Health, Peking University Sixth Hospital, Beijing, 100191, China.
- NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, 100191, China.
- PKU-IDG/McGovern Institute for Brain Research, Peking University, Beijing, 100871, China.
- Research Unit of Diagnosis and Treatment of Mood Cognitive Disorder (2018RU006), Chinese Academy of Medical Sciences, Beijing, 100191, China.
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8
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Wang C, Tishler TA, Oughourlian T, Nuechterlein KH, de la Fuente-Sandoval C, Ellingson BM. Prospective, randomized, multicenter clinical trial evaluating longitudinal changes in brain function and microstructure in first-episode schizophrenia patients treated with long-acting injectable paliperidone palmitate versus oral antipsychotics. Schizophr Res 2023; 255:222-232. [PMID: 37019033 DOI: 10.1016/j.schres.2023.03.040] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/28/2022] [Revised: 02/23/2023] [Accepted: 03/18/2023] [Indexed: 04/07/2023]
Abstract
Widespread anatomical alterations and abnormal functional connectivity have shown strong association with symptom severity in first-episode schizophrenia (FES) patients. Second-generation antipsychotic treatment might slow disease progression and possibly modify the cerebral plasticity in FES patients. However, whether a long-acting injectable antipsychotic (paliperidone palmitate [PP]), available in monthly and every-3-months formulations, is more effective than oral antipsychotics (OAP) in improving cerebral organization has been unclear. Therefore, in the current longitudinal study, we evaluated the differences in functional and microstructural changes of 68 FES patients in a randomized clinical trial of PP vs OAP. When compared to OAP treatment, PP treatment was more effective in decreasing abnormally high fronto-temporal and thalamo-temporal connectivity, as well as increasing fronto-sensorimotor and thalamo-insular connectivity. Consistent with previous studies, multiple white matter pathways showed larger changes in fractional anisotropy (FA) and mean diffusivity (MD) in response to PP compared with OAP treatment. These findings suggest that PP treatment might reduce regional abnormalities and improve cerebral connectivity networks compared with OAP treatment, and identified changes that may serve as reliable imaging biomarkers associated with medication treatment efficacy.
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Affiliation(s)
- Chencai Wang
- Department of Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, United States of America.
| | - Todd A Tishler
- Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, United States of America
| | - Talia Oughourlian
- Department of Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, United States of America
| | - Keith H Nuechterlein
- Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, United States of America; Department of Psychology, University of California Los Angeles, Los Angeles, CA, United States of America
| | - Camilo de la Fuente-Sandoval
- Laboratory of Experimental Psychiatry, Instituto Nacional de Neurología y Neurocirugía, Mexico City, Mexico; Neuropsychiatry Department, Instituto Nacional de Neurología y Neurocirugía, Mexico City, Mexico
| | - Benjamin M Ellingson
- Department of Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, United States of America; Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, United States of America; Neuroscience Interdisciplinary Graduate Program, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, United States of America
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9
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Chen J, Wang S, Li Z, Li Y, Huang P, Zhu J, Wang F, Li Y, Liu W, Xue J, Shi H, Li W, Liang Z, Wang W, Li Q. The effect of long-term methadone maintenance treatment on coupling among three large-scale brain networks in male heroin-dependent individuals: A resting-state fMRI study. Drug Alcohol Depend 2022; 238:109549. [PMID: 35810622 DOI: 10.1016/j.drugalcdep.2022.109549] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/05/2022] [Revised: 06/14/2022] [Accepted: 06/27/2022] [Indexed: 11/03/2022]
Abstract
PURPOSE Methadone maintenance treatment (MMT) is considered as an effective and mainstream therapy for heroin dependence. However, whether long-term MMT would improve the coupling among the three core large-scale brain networks (salience, default mode, and executive control) and its relationship with the craving for heroin is unknown. METHODS Forty-four male heroin-dependent individuals during long-term MMT, 27 male heroin-dependent individuals after short-term detoxification/abstinence (SA), and 26 demographically matched healthy controls (HC) underwent resting-state functional magnetic resonance imaging. We analyzed the difference in coupling among the salience, default mode, and executive control networks among the three groups and examined how the coupling among these large-scale networks was associated with craving before and after drug-cue exposure. RESULTS Compared with the SA group, the MMT group showed lower craving before and after cue exposure and stronger connectivity between the dorsal anterior cingulate cortex (a key node of the salience network) and key regions of the bilateral executive control network, including the bilateral dorsolateral prefrontal cortex, posterior parietal cortex, and dorsomedial prefrontal cortex. Among the heroin-dependent individuals, the functional connectivity was negatively correlated with the craving before and after heroin-cue exposure. CONCLUSION Our findings suggest that long-term MMT could increase the coupling between the salience and bilateral executive control networks and decrease craving for heroin. These findings contribute to the understanding of the neural mechanism of MMT, from the perspective of large-scale brain networks.
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Affiliation(s)
- Jiajie Chen
- Department of Radiology, Tangdu Hospital, Fourth Military Medical University, Xi'an 710038, Shaanxi, China
| | - Shu Wang
- Biomedical Engineering, School of Life Science and Technology, Xi'an Jiao Tong University, Xi'an 710038, Shaanxi, China
| | - Zhe Li
- Department of Radiology, Tangdu Hospital, Fourth Military Medical University, Xi'an 710038, Shaanxi, China
| | - Yiyao Li
- School of basic medicine, Air Force Military Medical University, Xi 'an 710038, Shaanxi, China
| | - Peng Huang
- School of basic medicine, Air Force Military Medical University, Xi 'an 710038, Shaanxi, China
| | - Jia Zhu
- Department of Radiology, Tangdu Hospital, Fourth Military Medical University, Xi'an 710038, Shaanxi, China
| | - Fan Wang
- Department of Radiology, Tangdu Hospital, Fourth Military Medical University, Xi'an 710038, Shaanxi, China
| | - Yongbin Li
- Department of Radiology, Tangdu Hospital, Fourth Military Medical University, Xi'an 710038, Shaanxi, China
| | - Wei Liu
- Department of Radiology, Tangdu Hospital, Fourth Military Medical University, Xi'an 710038, Shaanxi, China
| | - Jiuhua Xue
- Department of Radiology, Tangdu Hospital, Fourth Military Medical University, Xi'an 710038, Shaanxi, China
| | - Hong Shi
- Department of Radiology, Tangdu Hospital, Fourth Military Medical University, Xi'an 710038, Shaanxi, China
| | - Wei Li
- Department of Radiology, Tangdu Hospital, Fourth Military Medical University, Xi'an 710038, Shaanxi, China
| | - Zifei Liang
- Center for Biomedical Imaging, Radiology, New York University School of Medicine, New York 10012, USA
| | - Wei Wang
- Department of Radiology, Tangdu Hospital, Fourth Military Medical University, Xi'an 710038, Shaanxi, China.
| | - Qiang Li
- Department of Radiology, Tangdu Hospital, Fourth Military Medical University, Xi'an 710038, Shaanxi, China.
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10
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Sarpal DK, Tarcijonas G, Calabro FJ, Foran W, Haas GL, Luna B, Murty VP. Context-specific abnormalities of the central executive network in first-episode psychosis: relationship with cognition. Psychol Med 2022; 52:2299-2308. [PMID: 33222723 PMCID: PMC9805803 DOI: 10.1017/s0033291720004201] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Abstract
BACKGROUND Cognitive impairments, which contribute to the profound functional deficits observed in psychotic disorders, have found to be associated with abnormalities in trial-level cognitive control. However, neural tasks operate within the context of sustained cognitive states, which can be assessed with 'background connectivity' following the removal of task effects. To date, little is known about the integrity of brain processes supporting the maintenance of a cognitive state in individuals with psychotic disorders. Thus, here we examine background connectivity during executive processing in a cohort of participants with first-episode psychosis (FEP). METHODS The following fMRI study examined background connectivity of the dorsolateral prefrontal cortex (DLPFC), during working memory engagement in a group of 43 patients with FEP, relative to 35 healthy controls (HC). Findings were also examined in relation to measures of executive function. RESULTS The FEP group relative to HC showed significantly lower background DLPFC connectivity with bilateral superior parietal lobule (SPL) and left inferior parietal lobule. Background connectivity between DLPFC and SPL was also positively associated with overall cognition across all subjects and in our FEP group. In comparison, resting-state frontoparietal connectivity did not differ between groups and was not significantly associated with overall cognition, suggesting that psychosis-related alterations in executive networks only emerged during states of goal-oriented behavior. CONCLUSIONS These results provide novel evidence indicating while frontoparietal connectivity at rest appears intact in psychosis, when engaged during a cognitive state, it is impaired possibly undermining cognitive control capacities in FEP.
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Affiliation(s)
- Deepak K. Sarpal
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - Goda Tarcijonas
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - Finnegan J. Calabro
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
- Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA, USA
| | - William Foran
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - Gretchen L. Haas
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
- Department of Psychology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Beatriz Luna
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
- Department of Psychology, University of Pittsburgh, Pittsburgh, PA, USA
- Department of Pediatrics, University of Pittsburgh, Pittsburgh, PA, USA
| | - Vishnu P. Murty
- Department of Psychology, Temple University, Philadelphia, PA, USA
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11
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Yu L, Kazinka R, Pratt D, Kwashie A, MacDonald AW. Resting-State Networks Associated with Behavioral and Self-Reported Measures of Persecutory Ideation in Psychosis. Brain Sci 2021; 11:brainsci11111490. [PMID: 34827489 PMCID: PMC8615751 DOI: 10.3390/brainsci11111490] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2021] [Revised: 10/29/2021] [Accepted: 11/03/2021] [Indexed: 11/17/2022] Open
Abstract
Persecutory ideations are self-referential delusions of being the target of malevolence despite a lack of evidence. Wisner et al. (2021) found that reduced connectivity between the left frontoparietal (lFP) network and parts of the orbitofrontal cortex (OFC) correlated with increased persecutory behaviors among psychotic patients performing in an economic social decision-making task that can measure the anticipation of a partner’s spiteful behavior. If this pattern could be observed in the resting state, it would suggest a functional-structural prior predisposing individuals to persecutory ideation. Forty-four patients in the early course of a psychotic disorder provided data for resting-state functional connectivity magnetic resonance imaging across nine brain networks that included the FP network and a similar OFC region. As predicted, we found a significant and negative correlation between the lFP–OFC at rest and the level of suspicious mistrust on the decision-making task using a within-group correlational design. Additionally, self-reported persecutory ideation correlated significantly with the connectivity between the right frontoparietal (rFP) network and the OFC. We extended the previous finding of reduced connectivity between the lFP network and the OFC in psychosis patients to the resting state, and observed a possible hemispheric difference, such that greater rFP–OFC connectivity predicted elevated self-reported persecutory ideation, suggesting potential differences between the lFP and rFP roles in persecutory social interactions.
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12
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Detection of functional and structural brain alterations in female schizophrenia using elastic net logistic regression. Brain Imaging Behav 2021; 16:281-290. [PMID: 34313906 PMCID: PMC8825615 DOI: 10.1007/s11682-021-00501-z] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/05/2021] [Indexed: 12/19/2022]
Abstract
Neuroimaging technique is a powerful tool to characterize the abnormality of brain networks in schizophrenia. However, the neurophysiological substrate of schizophrenia is still unclear. Here we investigated the patterns of brain functional and structural changes in female patients with schizophrenia using elastic net logistic regression analysis of resting-state functional magnetic resonance imaging data. Data from 52 participants (25 female schizophrenia patients and 27 healthy controls) were obtained. Using an elastic net penalty, the brain regions most relevant to schizophrenia pathology were defined in the models using the amplitude of low-frequency fluctuations (ALFF) and gray matter, respectively. The receiver operating characteristic analysis showed reliable classification accuracy with 85.7% in ALFF analysis, and 77.1% in gray matter analysis. Notably, our results showed eight common regions between the ALFF and gray matter analyses, including the Frontal-Inf-Orb-R, Rolandic-Oper-R, Olfactory-R, Angular-L, Precuneus-L, Precuenus-R, Heschl-L, and Temporal-Pole-Mid-R. In addition, the severity of symptoms was found positively associated with the ALFF within the Rolandic-Oper-R and Frontal-Inf-Orb-R. Our findings indicated that elastic net logistic regression could be a useful tool to identify the characteristics of schizophrenia -related brain deterioration, which provides novel insights into schizophrenia diagnosis and prediction.
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13
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Brain imaging signature of neuropathic pain phenotypes in small-fiber neuropathy: altered thalamic connectome and its associations with skin nerve degeneration. Pain 2021; 162:1387-1399. [PMID: 33239524 DOI: 10.1097/j.pain.0000000000002155] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2020] [Accepted: 11/18/2020] [Indexed: 12/12/2022]
Abstract
ABSTRACT Small-fiber neuropathy (SFN) has been traditionally considered as a pure disorder of the peripheral nervous system, characterized by neuropathic pain and degeneration of small-diameter nerve fibers in the skin. Previous functional magnetic resonance imaging studies revealed abnormal activations of pain networks, but the structural basis underlying such maladaptive functional alterations remains elusive. We applied diffusion tensor imaging to explore the influences of SFN on brain microstructures. Forty-one patients with pathology-proven SFN with reduced skin innervation were recruited. White matter connectivity with the thalamus as the seed was assessed using probabilistic tractography of diffusion tensor imaging. Patients with SFN had reduced thalamic connectivity with the insular cortex and the sensorimotor areas, including the postcentral and precentral gyri. Furthermore, the degree of skin nerve degeneration, measured by intraepidermal nerve fiber density, was associated with the reduction of connectivity between the thalamus and pain-related areas according to different neuropathic pain phenotypes, specifically, the frontal, cingulate, motor, and limbic areas for burning, electrical shocks, tingling, mechanical allodynia, and numbness. Despite altered white matter connectivity, there was no change in white matter integrity assessed with fractional anisotropy. Our findings indicate that alterations in structural connectivity may serve as a biomarker of maladaptive brain plasticity that contributes to neuropathic pain after peripheral nerve degeneration.
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14
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Li X, Lei D, Niu R, Li L, Suo X, Li W, Yang C, Yang T, Ren J, Pinaya WHL, Zhou D, Kemp GJ, Gong Q. Disruption of gray matter morphological networks in patients with paroxysmal kinesigenic dyskinesia. Hum Brain Mapp 2021; 42:398-411. [PMID: 33058379 PMCID: PMC7776009 DOI: 10.1002/hbm.25230] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2020] [Revised: 08/01/2020] [Accepted: 09/29/2020] [Indexed: 02/05/2023] Open
Abstract
This study explores the topological properties of brain gray matter (GM) networks in patients with paroxysmal kinesigenic dyskinesia (PKD) and asks whether GM network features have potential diagnostic value. We used 3D T1-weighted magnetic resonance imaging and graph theoretical approaches to investigate the topological organization of GM morphological networks in 87 PKD patients and 115 age- and sex-matched healthy controls. We applied a support vector machine to GM morphological network matrices to classify PKD patients versus healthy controls. Compared with the HC group, the GM morphological networks of PKD patients showed significant abnormalities at the global level, including an increase in characteristic path length (Lp) and decreases in local efficiency (Eloc ), clustering coefficient (Cp), normalized clustering coefficient (γ), and small-worldness (σ). The decrease in Cp was significantly correlated with disease duration and age of onset. The GM morphological networks of PKD patients also showed significant changes in nodal topological characteristics, mainly in the basal ganglia-thalamus circuitry, default-mode network and central executive network. Finally, we used the GM morphological network matrices to classify individuals as PKD patients versus healthy controls, achieving 87.8% accuracy. Overall, this study demonstrated disruption of GM morphological networks in PKD, which might extend our understanding of the pathophysiology of PKD; further, GM morphological network matrices might have the potential to serve as network neuroimaging biomarkers for the diagnosis of PKD.
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Affiliation(s)
- Xiuli Li
- Huaxi MR Research Center (HMRRC), Department of RadiologyWest China Hospital of Sichuan UniversityChengduSichuan ProvinceChina
- Department of RadiologySichuan Cancer Hospital & Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of ChinaChengduChina
| | - Du Lei
- Huaxi MR Research Center (HMRRC), Department of RadiologyWest China Hospital of Sichuan UniversityChengduSichuan ProvinceChina
- Department of Psychiatry and Behavioral NeuroscienceUniversity of CincinnatiCincinnatiOhioUSA
| | - Running Niu
- Department of RadiologySichuan Cancer Hospital & Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of ChinaChengduChina
| | - Lei Li
- Huaxi MR Research Center (HMRRC), Department of RadiologyWest China Hospital of Sichuan UniversityChengduSichuan ProvinceChina
| | - Xueling Suo
- Huaxi MR Research Center (HMRRC), Department of RadiologyWest China Hospital of Sichuan UniversityChengduSichuan ProvinceChina
| | - Wenbin Li
- Huaxi MR Research Center (HMRRC), Department of RadiologyWest China Hospital of Sichuan UniversityChengduSichuan ProvinceChina
| | - Chen Yang
- Huaxi MR Research Center (HMRRC), Department of RadiologyWest China Hospital of Sichuan UniversityChengduSichuan ProvinceChina
| | - Tianhua Yang
- Department of NeurologyWest China Hospital of Sichuan UniversityChengduSichuan ProvinceChina
| | - Jiechuan Ren
- Department of NeurologyWest China Hospital of Sichuan UniversityChengduSichuan ProvinceChina
| | - Walter H. L. Pinaya
- Department of Psychosis StudiesInstitute of Psychiatry, Psychology & Neuroscience, King's College LondonLondonUK
- Center of Mathematics, Computing, and CognitionUniversidade Federal do ABCSanto AndréBrazil
| | - Dong Zhou
- Department of NeurologyWest China Hospital of Sichuan UniversityChengduSichuan ProvinceChina
| | - Graham J. Kemp
- Liverpool Magnetic Resonance Imaging Centre (LiMRIC) and Institute of Life Course and Medical Sciences, University of LiverpoolLiverpoolUK
| | - Qiyong Gong
- Huaxi MR Research Center (HMRRC), Department of RadiologyWest China Hospital of Sichuan UniversityChengduSichuan ProvinceChina
- Research Unit of PsychoradiologyChinese Academy of Medical SciencesChengduChina
- Functional and Molecular Imaging Key Laboratory of Sichuan UniversityChengduChina
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15
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Hu Q, Huang H, Jiang Y, Jiao X, Zhou J, Tang Y, Zhang T, Sun J, Yao D, Luo C, Li C, Wang J. Temporoparietal Connectivity Within Default Mode Network Associates With Clinical Improvements in Schizophrenia Following Modified Electroconvulsive Therapy. Front Psychiatry 2021; 12:768279. [PMID: 35058815 PMCID: PMC8763790 DOI: 10.3389/fpsyt.2021.768279] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/02/2021] [Accepted: 12/02/2021] [Indexed: 12/19/2022] Open
Abstract
Although modified electroconvulsive therapy (ECT) has been reported to be effective for the treatment of schizophrenia (SCZ), its action mechanism is unclear. To elucidate the underlying ECT mechanisms of SCZ, this study used a longitudinal cohort including 21 SCZ patients receiving only antipsychotics (DSZ group) and 21 SCZ patients receiving a regular course of ECT combining with antipsychotics (MSZ group) for 4 weeks. All patients underwent magnetic resonance imaging (MRI) scans at baseline (t1) and follow-up (t2) time points. A matched healthy control (HC) group included 23 individuals who were only scanned at baseline. Functional connectivity (FC) within the default mode network (DMN) was evaluated before and after ECT. Significant interaction of the group over time was found in FC between angular gyrus (AG) and middle temporal gyrus (MTG). Post-hoc analysis showed a significantly enhanced FC of left AG(AG.L) and right MTG (MTG.R) in the MSZ group relative to the DSZ group. In addition, the right AG (AG.R) showed significantly enhanced FC between MTG.R and left MTG (MTG.L) after ECT in the MSZ group, but no in the DSZ group. In particular, the FCs change in AG.L-MTG.R and AG.R-MTG.R were positively correlated with the Positive and Negative Syndrome Scale (PANSS) negative score reduction. Furthermore, the FC change in AG.L-MTG.R was also positively correlated with the PANSS general psychopathology score reduction. These findings confirmed a potential relationship between ECT inducing hyperconnectivity within DMN and improvements in symptomatology of SCZ, suggesting that ECT controls mental symptoms by regulating the temporoparietal connectivity within DMN.
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Affiliation(s)
- Qiang Hu
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Huan Huang
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, High-Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan Province, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
| | - Yuchao Jiang
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, High-Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan Province, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
| | - Xiong Jiao
- School of BIomedical Engineering, Shanghai Jiao Tong University, Shanghai, China.,Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jie Zhou
- School of BIomedical Engineering, Shanghai Jiao Tong University, Shanghai, China.,Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yingying Tang
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Tianhong Zhang
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Junfeng Sun
- School of BIomedical Engineering, Shanghai Jiao Tong University, Shanghai, China
| | - Dezhong Yao
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, High-Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan Province, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
| | - Cheng Luo
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, High-Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan Province, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
| | - Chunbo Li
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,CAS Center for Excellence in Brain Science and Intelligence Technology (CEBSIT), Chinese Academy of Science, Shanghai, China.,Brain Science and Technology Research Center, Shanghai Jiao Tong University, Shanghai, China.,Institute of Psychology and Behavioral Science, Shanghai Jiao Tong University, Shanghai, China
| | - Jijun Wang
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,CAS Center for Excellence in Brain Science and Intelligence Technology (CEBSIT), Chinese Academy of Science, Shanghai, China.,Institute of Psychology and Behavioral Science, Shanghai Jiao Tong University, Shanghai, China
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16
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Resting state functional connectivity abnormalities and delayed recall performance in patients with amnestic mild cognitive impairment. Brain Imaging Behav 2020; 14:267-277. [PMID: 30421086 DOI: 10.1007/s11682-018-9974-1] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
Abstract
Amnestic Mild Cognitive Impairment (aMCI) represents the transition between healthy aging and Alzheimer's dementia (AD) wherein gradual impairment of cognitive abilities, especially memory sets in. Impairment in episodic memory, especially delayed recall, is a hallmark of AD and therefore, patients with aMCI with more severe impairment in episodic memory are considered to be at greater risk of imminent conversion to AD. Brain structural and functional abnormalities were examined by comparing gray matter volumes, white matter micro-structural integrity and resting state functional connectivity (rsFC), between patients with aMCI (n = 46) having lower vs. higher episodic memory delayed recall (EM-DR) performance scores, correcting the influences of age, sex, number of years of formal education and total brain volumes using voxel-based morphometry, whole-brain tract based spatial statistics and dual regression analysis respectively. 'Low' performers (n = 27) when compared to 'high' performers (n = 19) showed significantly increased rsFC in the dorsal attention network (DAN) and central executive network (CEN) in the absence of demonstrable gray matter volumetric or white matter micro-structural integrity differences at family-wise error (FWE) corrected (p < 0.05) significance threshold. Follow-up data available for 38 (low performers = 22; high performers = 16) of the above 46 subjects (82.60% follow-up rate) over a median follow-up period of 24.5 months revealed that 7 subjects (18.42%) had converted to dementia. These converted subjects included 5 of the 22 low performers (22.72%) and 2 of the 16 high performers (12.5%) within the follow-up sample (n = 38). The results of the study indicate that imminent conversion of aMCI to dementia is higher in low performers in comparison to high performers, which may be characterized by increased rsFC in task positive networks, viz., DAN and CEN, as opposed to gray or white matter structural changes. This finding, therefore, might be considered as a prognostic indicator of progression from aMCI to dementia.
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17
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Li Q, Cao X, Liu S, Li Z, Wang Y, Cheng L, Yang C, Xu Y. Dynamic Alterations of Amplitude of Low-Frequency Fluctuations in Patients With Drug-Naïve First-Episode Early Onset Schizophrenia. Front Neurosci 2020; 14:901. [PMID: 33122982 PMCID: PMC7573348 DOI: 10.3389/fnins.2020.00901] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2020] [Accepted: 08/03/2020] [Indexed: 12/26/2022] Open
Abstract
Abnormalities in static neural activity have been widely reported in early onset schizophrenia (EOS). However, dynamic brain activity alterations over time in EOS are unclear. Here, we investigated whether temporal dynamic changes in spontaneous neural activity are influenced by EOS. A total of 78 drug-naïve first-episode patients with EOS and 90 healthy controls (HCs) were enrolled in this study. Dynamic amplitude of low-frequency fluctuations (dALFF) was performed to examine the abnormal time-varying local neural activity in EOS. Furthermore, we investigated the relationships between abnormalities in dALFF variability and clinical characteristics in EOS patients. Compared to HCs, EOS patients showed significantly decreased dALFF variability in the bilateral precuneus, right superior marginal gyrus, right post-central gyrus and increased dALFF in the right middle temporal gyrus (MTG). Moreover, increased dALFF variability in MTG was negatively associated with negative symptoms in EOS. Our findings reveal increased dynamic local neural activity in higher order networks of the cortex, suggesting that enhanced spontaneous brain activity may be a predominant neural marker for brain maturation. In addition, decreased dALFF variability in the default mode network (DMN) and limbic system may reflect unusually dynamic neural activity. This dysfunctional brain activity could distinguish between patients and HCs and deepen our understanding of the pathophysiological mechanisms of EOS.
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Affiliation(s)
- Qiang Li
- Shanxi Key Laboratory of Artificial Intelligence Assisted Diagnosis and Treatment for Mental Disorder, First Hospital of Shanxi Medical University, Taiyuan, China.,Department of Psychiatry, First Hospital/First Clinical Medical College of Shanxi Medical University, Taiyuan, China
| | - Xiaohua Cao
- Department of Psychiatry, First Hospital/First Clinical Medical College of Shanxi Medical University, Taiyuan, China
| | - Sha Liu
- Shanxi Key Laboratory of Artificial Intelligence Assisted Diagnosis and Treatment for Mental Disorder, First Hospital of Shanxi Medical University, Taiyuan, China.,Department of Psychiatry, First Hospital/First Clinical Medical College of Shanxi Medical University, Taiyuan, China
| | - Zexuan Li
- Shanxi Key Laboratory of Artificial Intelligence Assisted Diagnosis and Treatment for Mental Disorder, First Hospital of Shanxi Medical University, Taiyuan, China.,Department of Psychiatry, First Hospital/First Clinical Medical College of Shanxi Medical University, Taiyuan, China
| | - Yanfang Wang
- Department of Psychiatry, First Hospital/First Clinical Medical College of Shanxi Medical University, Taiyuan, China
| | - Long Cheng
- Department of Psychiatry, First Hospital/First Clinical Medical College of Shanxi Medical University, Taiyuan, China
| | - Chengxiang Yang
- Shanxi Key Laboratory of Artificial Intelligence Assisted Diagnosis and Treatment for Mental Disorder, First Hospital of Shanxi Medical University, Taiyuan, China.,Department of Psychiatry, First Hospital/First Clinical Medical College of Shanxi Medical University, Taiyuan, China
| | - Yong Xu
- Shanxi Key Laboratory of Artificial Intelligence Assisted Diagnosis and Treatment for Mental Disorder, First Hospital of Shanxi Medical University, Taiyuan, China.,Department of Psychiatry, First Hospital/First Clinical Medical College of Shanxi Medical University, Taiyuan, China.,Department of Mental Health, Shanxi Medical University, Taiyuan, China
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18
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O’Neill A, Carey E, Dooley N, Healy C, Coughlan H, Kelly C, Frodl T, O’Hanlon E, Cannon M. Multiple Network Dysconnectivity in Adolescents with Psychotic Experiences: A Longitudinal Population-Based Study. Schizophr Bull 2020; 46:1608-1618. [PMID: 32614036 PMCID: PMC7846103 DOI: 10.1093/schbul/sbaa056] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Abstract
Abnormal functional connectivity (FC, the temporal synchronization of activation across distinct brain regions) of the default mode (DMN), salience (SN), central executive (CEN), and motor (MN) networks is well established in psychosis. However, little is known about FC in individuals, particularly adolescents, reporting subthreshold psychotic experiences (PE) and their trajectory over time. Thus, the aim of this study was to investigate the FC of these networks in adolescents with PE. In this population-based case-control study, 24 adolescents (mean age = 13.58) meeting the criteria for PE were drawn from a sample of 211 young people recruited and scanned for a neuroimaging study, with a follow-up scan 2 years later (n = 18, mean age = 15.78) and compared to matched controls drawn from the same sample. We compared FC of DMN, SN, CEN, and MN regions between PE and controls using whole-brain FC analyses. At both timepoints, the PE group displayed significant hypoconnectivity compared to controls. At baseline, FC in the PE group was decreased between MN and DMN regions. At follow-up, dysconnectivity in the PE group was more widespread. Over time, controls displayed greater FC changes than the PE group, with FC generally increasing between MN, DMN, and SN regions. Adolescents with PE exhibit hypoconnectivity across several functional networks also found to be hypoconnected in established psychosis. Our findings highlight the potential for studies of adolescents reporting PE to reveal early neural correlates of psychosis and support further investigation of the role of the MN in PE and psychotic disorders.
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Affiliation(s)
- Aisling O’Neill
- Department of Psychiatry, Smurfit Building, Royal College of Surgeons Ireland at Beaumont Hospital, Dublin, Ireland,Trinity College Institute of Neuroscience, Room 336, Lloyd Building, Trinity College Dublin, Dublin, Ireland,To whom correspondence should be addressed; Department of Psychiatry, Smurfit Building, Royal College of Surgeons Ireland at Beaumont Hospital, Dublin 9, Ireland; tel: +353-1-896 8484, fax: +353-1-896 3183, e-mail:
| | - Eleanor Carey
- Department of Psychiatry, Smurfit Building, Royal College of Surgeons Ireland at Beaumont Hospital, Dublin, Ireland,Trinity College Institute of Neuroscience, Room 336, Lloyd Building, Trinity College Dublin, Dublin, Ireland
| | - Niamh Dooley
- Department of Psychiatry, Smurfit Building, Royal College of Surgeons Ireland at Beaumont Hospital, Dublin, Ireland,Trinity College Institute of Neuroscience, Room 336, Lloyd Building, Trinity College Dublin, Dublin, Ireland
| | - Colm Healy
- Department of Psychiatry, Smurfit Building, Royal College of Surgeons Ireland at Beaumont Hospital, Dublin, Ireland
| | - Helen Coughlan
- Department of Psychiatry, Smurfit Building, Royal College of Surgeons Ireland at Beaumont Hospital, Dublin, Ireland
| | - Clare Kelly
- Trinity College Institute of Neuroscience, Room 336, Lloyd Building, Trinity College Dublin, Dublin, Ireland
| | - Thomas Frodl
- Trinity College Institute of Neuroscience, Room 336, Lloyd Building, Trinity College Dublin, Dublin, Ireland,Department of Psychiatry and Psychotherapy, University Hospital Magdeburg A.ö.R., Magdeburg, Germany
| | - Erik O’Hanlon
- Department of Psychiatry, Smurfit Building, Royal College of Surgeons Ireland at Beaumont Hospital, Dublin, Ireland,Trinity College Institute of Neuroscience, Room 336, Lloyd Building, Trinity College Dublin, Dublin, Ireland
| | - Mary Cannon
- Department of Psychiatry, Smurfit Building, Royal College of Surgeons Ireland at Beaumont Hospital, Dublin, Ireland,Trinity College Institute of Neuroscience, Room 336, Lloyd Building, Trinity College Dublin, Dublin, Ireland
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19
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Sun F, Zhao Z, Lan M, Xu Y, Huang M, Xu D. Abnormal dynamic functional network connectivity of the mirror neuron system network and the mentalizing network in patients with adolescent-onset, first-episode, drug-naïve schizophrenia. Neurosci Res 2020; 162:63-70. [PMID: 31931027 DOI: 10.1016/j.neures.2020.01.003] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2019] [Revised: 12/10/2019] [Accepted: 01/08/2020] [Indexed: 01/10/2023]
Abstract
Previous studies based on an assumption of connectivity stationarity reported disconnections in mirror neuron system (MNS) and mentalizing networks of schizophrenic brains with social cognitive disruptions. However, recent studies demonstrated that functional brain connections are dynamic, and static connectivity metrics fail to capture time-varying properties of functional connections. The present study used a dynamic functional connectivity (dFC) method to test whether alterations of functional connectivity in the two networks are time-varying in adolescent-onset schizophrenia (AOS) patients. We collected resting-state fMRI data from 28 patients with AOS and 22 matched healthy controls. Static functional connectivity and dFC were used to explore the connectivity difference in the MNS and mentalizing networks between the two groups, respectively. Then a Pearson's correlation analysis between the connectivity showing intergroup differences and clinical scores was conducted in the AOS group. Compared with static functional connectivity analyses, dFC revealed state-specific connectivity decreases within the MNS network in the AOS group. Additionally, the dFC between the left middle temporal gyrus and left V5 was negatively correlated with the item2 of PANSS negative scores across all the AOS patients. Our findings suggest that social dysfunctions in AOS patients may be associated with the altered integrity and interaction of the MNS and mentalizing networks, and the functional impairments in the MNS are dynamic over time.
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Affiliation(s)
- Fenfen Sun
- School of Psychology and Cognitive Science, East China Normal University, Shanghai 200062, China; National Demonstration Center for Experimental Psychology Education, East China Normal University, Shanghai 200062, China
| | - Zhiyong Zhao
- Key Laboratory for Biomedical Engineering of Ministry of Education, Department of Biomedical Engineering, College of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou 310027, China; Shanghai Key Laboratory of Magnetic Resonance, Institute of Cognitive Neuroscience, East China Normal University, Shanghai 200062, China; Molecular Imaging and Neuropathology Division, Department of Psychiatry, Columbia University & New York State Psychiatric Institute, 1051 Riverside Drive, New York, NY 10032, USA
| | - Martin Lan
- Molecular Imaging and Neuropathology Division, Department of Psychiatry, Columbia University & New York State Psychiatric Institute, 1051 Riverside Drive, New York, NY 10032, USA
| | - Yi Xu
- Department of Psychiatry, The First Affiliated Hospital, The Key Laboratory of Mental Disorder's Management of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou 310003, Zhejiang Province, China
| | - Manli Huang
- Department of Psychiatry, The First Affiliated Hospital, The Key Laboratory of Mental Disorder's Management of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou 310003, Zhejiang Province, China.
| | - Dongrong Xu
- Molecular Imaging and Neuropathology Division, Department of Psychiatry, Columbia University & New York State Psychiatric Institute, 1051 Riverside Drive, New York, NY 10032, USA.
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20
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Kambeitz-Ilankovic L, Wenzel J, Haas SS, Ruef A, Antonucci LA, Sanfelici R, Paolini M, Koutsouleris N, Biagianti B. Modeling Social Sensory Processing During Social Computerized Cognitive Training for Psychosis Spectrum: The Resting-State Approach. Front Psychiatry 2020; 11:554475. [PMID: 33329091 PMCID: PMC7716799 DOI: 10.3389/fpsyt.2020.554475] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/22/2020] [Accepted: 09/15/2020] [Indexed: 11/13/2022] Open
Abstract
Background: Greater impairments in early sensory processing predict response to auditory computerized cognitive training (CCT) in patients with recent-onset psychosis (ROP). Little is known about neuroimaging predictors of response to social CCT, an experimental treatment that was recently shown to induce cognitive improvements in patients with psychosis. Here, we investigated whether ROP patients show interindividual differences in sensory processing change and whether different patterns of SPC are (1) related to the differential response to treatment, as indexed by gains in social cognitive neuropsychological tests and (2) associated with unique resting-state functional connectivity (rsFC). Methods: Twenty-six ROP patients completed 10 h of CCT over the period of 4-6 weeks. Subject-specific improvement in one CCT exercise targeting early sensory processing-a speeded facial Emotion Matching Task (EMT)-was studied as potential proxy for target engagement. Based on the median split of SPC from the EMT, two patient groups were created. Resting-state activity was collected at baseline, and bold time series were extracted from two major default mode network (DMN) hubs: left medial prefrontal cortex (mPFC) and left posterior cingulate cortex (PCC). Seed rsFC analysis was performed using standardized Pearson correlation matrices, generated between the average time course for each seed and each voxel in the brain. Results: Based on SPC, we distinguished improvers-i.e., participants who showed impaired performance at baseline and reached the EMT psychophysical threshold during CCT-from maintainers-i.e., those who showed intact EMT performance at baseline and sustained the EMT psychophysical threshold throughout CCT. Compared to maintainers, improvers showed an increase of rsFC at rest between PCC and left superior and medial frontal regions and the cerebellum. Compared to improvers, maintainers showed increased rsFC at baseline between PCC and superior temporal and insular regions bilaterally. Conclusions: In ROP patients with an increase of connectivity at rest in the default mode network, social CCT is still able to induce sensory processing changes that however do not translate into social cognitive gains. Future studies should investigate if impairments in short-term synaptic plasticity are responsible for this lack of response and can be remediated by pharmacological augmentation during CCT.
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Affiliation(s)
- Lana Kambeitz-Ilankovic
- Department of Psychiatry, Faculty of Medicine and University Hospital of Cologne, University of Cologne, Cologne, Germany.,Department of Psychiatry and Psychotherapy, Ludwig-Maximilian University, Munich, Germany
| | - Julian Wenzel
- Department of Psychiatry, Faculty of Medicine and University Hospital of Cologne, University of Cologne, Cologne, Germany.,Department of Psychiatry and Psychotherapy, Ludwig-Maximilian University, Munich, Germany
| | - Shalaila S Haas
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Anne Ruef
- Department of Psychiatry and Psychotherapy, Ludwig-Maximilian University, Munich, Germany
| | - Linda A Antonucci
- Department of Psychiatry, Faculty of Medicine and University Hospital of Cologne, University of Cologne, Cologne, Germany.,Department of Education, Psychology, Communication, University of Bari "Aldo Moro", Bari, Italy
| | - Rachele Sanfelici
- Department of Psychiatry and Psychotherapy, Ludwig-Maximilian University, Munich, Germany.,Max Planck School of Cognition, Leipzig, Germany
| | - Marco Paolini
- Department of Radiology, University Hospital, Ludwig-Maximilian-University, Munich, Germany
| | - Nikolaos Koutsouleris
- Department of Psychiatry and Psychotherapy, Ludwig-Maximilian University, Munich, Germany
| | - Bruno Biagianti
- Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy.,Department of R&D, Posit Science Corporation, San Francisco, CA, United States
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21
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Kutepov IE, Dobriyan VV, Zhigalov MV, Stepanov MF, Krysko AV, Yakovleva TV, Krysko VA. EEG analysis in patients with schizophrenia based on Lyapunov exponents. INFORMATICS IN MEDICINE UNLOCKED 2020. [DOI: 10.1016/j.imu.2020.100289] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022] Open
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22
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Joo SW, Yoon W, Jo YT, Kim H, Kim Y, Lee J. Aberrant Executive Control and Auditory Networks in Recent-Onset Schizophrenia. Neuropsychiatr Dis Treat 2020; 16:1561-1570. [PMID: 32606708 PMCID: PMC7319504 DOI: 10.2147/ndt.s254208] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/16/2020] [Accepted: 05/27/2020] [Indexed: 12/21/2022] Open
Abstract
PURPOSE Despite a large number of resting-state functional MRI (rsfMRI) studies in schizophrenia, current evidence on the abnormalities of functional connectivity (FC) of resting-state networks shows high variability, and the findings on recent-onset schizophrenia are insufficient compared to those on chronic schizophrenia. PATIENTS AND METHODS We performed a rsfMRI in 46 patients with recent-onset schizophrenia and 22 healthy controls. Group independent component brainmap and dual regression were performed for voxel-wise comparisons between the groups. Correlation of the symptom severity, cognitive function, duration of illness, and a total antipsychotics dose with FC was evaluated with Spearman's rho correlation. RESULTS The patient group had areas with a significantly decreased FC compared to that of the control group in which it existed in the left supplementary motor cortex and supramarginal gyrus (the executive control network) and the right postcentral gyrus (the auditory network). The patient group had a significant correlation of the total antipsychotics dose with the FC of the cluster in the left supplementary motor cortex in the executive control network. CONCLUSION Patients with recent-onset schizophrenia have decreased FC of the executive control and auditory networks compared to healthy controls.
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Affiliation(s)
- Sung Woo Joo
- Medical Corps, Republic of Korea Navy 1st Fleet, Donghae, Republic of Korea
| | - Woon Yoon
- Department of Psychiatry, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - Young Tak Jo
- Department of Psychiatry, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - Harin Kim
- Department of Psychiatry, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - Yangsik Kim
- Department of Psychiatry, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - Jungsun Lee
- Department of Psychiatry, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
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23
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Effect of single dose N-acetylcysteine administration on resting state functional connectivity in schizophrenia. Psychopharmacology (Berl) 2020; 237:443-451. [PMID: 31786651 PMCID: PMC7018675 DOI: 10.1007/s00213-019-05382-1] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/25/2019] [Accepted: 10/16/2019] [Indexed: 02/08/2023]
Abstract
RATIONALE There is interest in employing N-acetylcysteine (NAC) in the treatment of schizophrenia, but investigations of the functional signatures of its pharmacological action are scarce. OBJECTIVES The aim of this study was to identify the changes in resting-state functional connectivity (rs-FC) that occur following administration of a single dose of NAC in patients with schizophrenia. A secondary aim was to examine whether differences in rs-FC between conditions were mediated by glutamate metabolites in the anterior cingulate cortex (ACC). METHODS In a double-blind, placebo-controlled crossover design, 20 patients with schizophrenia had two MRI scans administered 7 days apart, following oral administration of either 2400 mg NAC or placebo. Resting state functional fMRI (rsfMRI) assessed the effect of NAC on rs-FC within the default mode network (DMN) and the salience network (SN). Proton magnetic resonance spectroscopy was used to measure Glx/Cr (glutamate plus glutamine, in ratio to creatine) levels in the ACC during the same scanning sessions. RESULTS Compared to the placebo condition, the NAC condition was associated with reduced within the DMN and SN, specifically between the medial pre-frontal cortex to mid frontal gyrus, and ACC to frontal pole (all p < 0.04). There were no significant correlations between ACC Glx/Cr and rs-FC in either condition (p > 0.6). CONCLUSIONS These findings provide preliminary evidence that NAC can reduce medial frontal rs-FC in schizophrenia. Future studies assessing the effects of NAC on rs-FC in early psychosis and on repeated administration in relation to efficacy would be of interest.
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24
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Li Y, Zhu Y, Nguchu BA, Wang Y, Wang H, Qiu B, Wang X. Dynamic Functional Connectivity Reveals Abnormal Variability and Hyper‐connected Pattern in Autism Spectrum Disorder. Autism Res 2019; 13:230-243. [DOI: 10.1002/aur.2212] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2019] [Revised: 09/08/2019] [Accepted: 09/10/2019] [Indexed: 12/19/2022]
Affiliation(s)
- Yu Li
- Center for Biomedical Engineering, University of Science and Technology of China Hefei China
| | - Yuying Zhu
- Center for Biomedical Engineering, University of Science and Technology of China Hefei China
- School of Information Engineering, Southwest University of Science and Technology Mianyang China
| | | | - Yanming Wang
- Center for Biomedical Engineering, University of Science and Technology of China Hefei China
| | - Huijuan Wang
- Center for Biomedical Engineering, University of Science and Technology of China Hefei China
| | - Bensheng Qiu
- Center for Biomedical Engineering, University of Science and Technology of China Hefei China
| | - Xiaoxiao Wang
- Center for Biomedical Engineering, University of Science and Technology of China Hefei China
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25
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Functional segregation of executive control network and frontoparietal network in Alzheimer's disease. Cortex 2019; 120:36-48. [PMID: 31228791 DOI: 10.1016/j.cortex.2019.04.026] [Citation(s) in RCA: 35] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2018] [Revised: 03/21/2019] [Accepted: 04/10/2019] [Indexed: 12/12/2022]
Abstract
Functional connectivity pattern altered of default mode network (DMN) is gaining more attention as a potential noninvasive biomarker to diagnose incipient Alzheimer's disease. However, the changed functional connectivity except for DMN, the longitudinal changes in executive control network (ECN) and frontoparietal network (FPN) also has attracted wide interest. Moreover, AD-related functional connectivity abnormalities within the DMN are well replicated research, but the (increased/decreased and reduced) functional connectivity in ECN and FPN weren't receive adequate attention. To address the above issues, in this paper, we adopt sparse inverse covariance estimation (SICE) approach to investigate the changed functional connectivity of ECN and FPN on the ADNI2 dataset. Our experimental results indicate the left superior frontal gyrus (SFGmed.L) and left thalamus (THA.L) regions of ECN has shown increased functional connectivity, the left anterior cingulate (ACG.L) region of ECN has shown decreased functional connectivity. The Superior Parietal Gyrus (SPG) regions and left paracentral lobule (PCL.L) of FPN has shown increased functional connectivity, the left supramarginal gyrus (SMG.L) regions has shown decreased functional connectivity in AD patients. On the other hand, the ACG.L regions in ECN, SMG.L and left inferior parietal (IPL.L) in FPN have shown significantly reduced functional connectivity. These results demonstrate that increased/decreased functional connectivity and reduced functional connectivity not only within DMN, but also associated with ECN and FPN. It also suggest that AD is associated with the characteristics of large-scale functional networks, and these changed functional connectivity possibly as a potential noninvasive biomarker to diagnose incipient Alzheimer's disease.
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26
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Ramkiran S, Sharma A, Rao NP. Resting-state anticorrelated networks in Schizophrenia. Psychiatry Res Neuroimaging 2019; 284:1-8. [PMID: 30605823 DOI: 10.1016/j.pscychresns.2018.12.013] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/16/2017] [Revised: 11/21/2018] [Accepted: 12/22/2018] [Indexed: 12/12/2022]
Abstract
Converging evidences from different lines of research suggest abnormalities in functional brain connectivity in schizophrenia. While positively correlated brain networks have been well researched, anticorrelated functional connectivity remains under explored. Hence, in this study we examined (1) the resting-state anticorrelated networks in schizophrenia, and (2) the accuracy of support vector machines (SVMs) in differentiating healthy individuals from schizophrenia patients using these anticorrelated networks. The sample consisted of 56 patients with DSM-IV schizophrenia and 56 healthy controls. We computed functional connectivity matrices and used Anticorrelation after Mean of Antilog method (AMA) to select predominantly anticorrelated networks. The basal ganglia, thalamus, lingual gyrus, and cerebellar vermis showed significantly different, Type A (decreased anticorrelation) connections. The medial temporal lobe and posterior cingulate gyri showed significantly different, Type B (increased anticorrelation) connections. Use of SVM on AMA networks showed moderate accuracy in differentiating schizophrenia and healthy controls. Our results suggest that anticorrelated networks between the sub-cortical and cortical areas are abnormal in schizophrenia and this has potential to be a differential biomarker. These preliminary findings, if replicated in future studies with larger number of patients, and advanced machine learning techniques could have potential clinical applications.
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Affiliation(s)
- Shukti Ramkiran
- Department of Psychiatry, National Institute of Mental Health and Neurosciences, Bangalore 560029, India
| | - Abhinav Sharma
- Department of Psychiatry, National Institute of Mental Health and Neurosciences, Bangalore 560029, India
| | - Naren P Rao
- Department of Psychiatry, National Institute of Mental Health and Neurosciences, Bangalore 560029, India.
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27
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Lewandowski KE, McCarthy JM, Öngür D, Norris LA, Liu GZ, Juelich RJ, Baker JT. Functional connectivity in distinct cognitive subtypes in psychosis. Schizophr Res 2019; 204:120-126. [PMID: 30126818 PMCID: PMC6378132 DOI: 10.1016/j.schres.2018.08.013] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/26/2018] [Revised: 07/20/2018] [Accepted: 08/11/2018] [Indexed: 02/02/2023]
Abstract
BACKGROUND Cognitive dysfunction is common in psychotic disorders, and may reflect underlying pathophysiology. However, substantial cognitive heterogeneity exists both within and between diagnostic categories, creating challenges for studying the neurobiology of cognitive dysfunction in patients. The aim of this study was to identify patients with psychosis with intact versus impaired cognitive profiles, and to examine resting state functional connectivity between patient groups and compared to healthy controls to determine the extent to which patterns of connectivity are overlapping or distinct. METHODS Participants with affective or non-affective psychosis (n=120) and healthy controls (n=31) were administered the MATRICS Consensus Cognitive Battery, clinical and community functioning assessments, and an fMRI scan to measure resting state functional connectivity (RSFC). Cognitive composite scores were used to identify groups of patients with and without cognitive dysfunction. RSFC was compared between groups of patients and healthy controls, controlling for demographic and clinical variables. RESULTS Both cognitively intact and cognitively impaired patients showed decreased intrinsic connectivity compared to controls in frontoparietal control (FPN) and motor networks. Patients with cognitive impairment showed additional reductions in FPN connectivity compared to patients with intact cognition, particularly in subnetwork A. CONCLUSIONS We leveraged the heterogeneity in cognitive ability among patients with psychosis to disentangle the relative contributions of cognitive dysfunction and presence of an underlying psychotic illness using resting state functional connectivity. These findings suggest at least partially separable effects of presence of a psychotic disorder and neurocognitive impairment contributing to network dysconnectivity in psychosis.
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Affiliation(s)
- Kathryn E. Lewandowski
- McLean Hospital, Schizophrenia and Bipolar Disorder Program,Harvard Medical School, Department of Psychiatry
| | - Julie M. McCarthy
- McLean Hospital, Schizophrenia and Bipolar Disorder Program,Harvard Medical School, Department of Psychiatry
| | - Dost Öngür
- McLean Hospital, Schizophrenia and Bipolar Disorder Program,Harvard Medical School, Department of Psychiatry
| | | | - Geoffrey Z. Liu
- McLean Hospital, Schizophrenia and Bipolar Disorder Program,Massachusetts General Hospital, Department of Psychiatry
| | | | - Justin T. Baker
- McLean Hospital, Schizophrenia and Bipolar Disorder Program,Harvard Medical School, Department of Psychiatry
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28
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Wang YM, Zou LQ, Xie WL, Yang ZY, Zhu XZ, Cheung EFC, Sørensen TA, Møller A, Chan RCK. Altered Functional Connectivity of the Default Mode Network in Patients With Schizo-obsessive Comorbidity: A Comparison Between Schizophrenia and Obsessive-compulsive Disorder. Schizophr Bull 2019; 45:199-210. [PMID: 29365198 PMCID: PMC6293227 DOI: 10.1093/schbul/sbx194] [Citation(s) in RCA: 33] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Clinical and neuroimaging data support the idea that schizo-obsessive comorbidity (SOC), similar to obsessive-compulsive disorder (OCD) and schizophrenia (SCZ), may be a distinct brain disorder. In this study, we examined the strength of resting-state functional connectivity (rsFC) between 19 subregions of the default mode network (DMN) and whole brain voxels in 22 patients with SOC features, 20 patients with SCZ alone, 22 patients with OCD, and 22 healthy controls (HC). The main results demonstrated that patients with SOC exhibited the highest rsFC strength within subregions of the DMN and the lowest rsFC strength between the DMN and subregions of the salience network (SN) compared with the other 3 groups. In addition, compared with HCs, all 3 patient groups exhibited increased rsFC between subregions of the DMN and the executive control network (ECN). The SOC and SCZ group both exhibited increased rsFC between subregions of the DMN and the middle temporal gyrus, but the OCD group exhibited decreased rsFC between them. These findings highlight a specific alteration in functional connectivity in the DMN in patients with SOC, and provide new insights into the dysfunctional brain organization of different mental disorders.
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Affiliation(s)
- Yong-ming Wang
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Beijing, PR China,Sino-Danish College, University of Chinese Academy of Sciences, Beijing, PR China,Sino-Danish Center for Education and Research, Beijing, PR China,Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Lai-quan Zou
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Beijing, PR China,Department of Psychology, School of Public Health, Southern Medical University (Guangdong Provincial Key Laboratory of Tropical Disease Research), Guangzhou, China
| | - Wen-lan Xie
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Beijing, PR China,Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Zhuo-ya Yang
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Beijing, PR China,Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Xiong-zhao Zhu
- Medical Psychological Center, The Second Xiangya Hospital, Central South University, Changsha, China,Medical Psychological Institute of Central South University, Changsha, China
| | - Eric F C Cheung
- Castle Peak Hospital, Hong Kong Special Administrative Region, China
| | - Thomas Alrik Sørensen
- Sino-Danish Center for Education and Research, Beijing, PR China,Centre for Cognitive Neuroscience, Institute of Communication and Psychology, Aalborg University, Aalborg, Denmark
| | - Arne Møller
- Sino-Danish Center for Education and Research, Beijing, PR China,Department of Nuclear Medicine and PET Centre, Aarhus University Hospital, Aarhus, Denmark
| | - Raymond C K Chan
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Beijing, PR China,Sino-Danish College, University of Chinese Academy of Sciences, Beijing, PR China,Sino-Danish Center for Education and Research, Beijing, PR China,Department of Psychology, University of Chinese Academy of Sciences, Beijing, China,To whom correspondence should be addressed; Institute of Psychology, Chinese Academy of Sciences, 16 Lincui Road, Beijing 100101, China; tel/fax: +86-10-64852558; e-mail:
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29
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Chen YH, Li SF, Lv D, Zhu GD, Wang YH, Meng X, Hu Q, Li CC, Zhang LT, Chu XP, Wang XP, Li P. Decreased Intrinsic Functional Connectivity of the Salience Network in Drug-Naïve Patients With Obsessive-Compulsive Disorder. Front Neurosci 2018; 12:889. [PMID: 30546294 PMCID: PMC6279930 DOI: 10.3389/fnins.2018.00889] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2018] [Accepted: 11/14/2018] [Indexed: 01/13/2023] Open
Abstract
Obsessive-compulsive disorder (OCD) patients have difficulty in switching between obsessive thought and compulsive behavior, which may be related to the dysfunction of the salience network (SN). However, little is known about the changes in intra- and inter- intrinsic functional connectivity (iFC) of the SN in patients with OCD. In this study, we parceled the SN into 19 subregions and investigated iFC changes for each of these subregions in 40 drug-naïve patients with OCD and 40 healthy controls (HCs) using seed-based functional connectivity resting-state functional magnetic resonance imaging (rs-fMRI). We found that patients with OCD exhibited decreased iFC strength between subregions of the SN, as well as decreased inter-network connectivity between SN and DMN, and ECN. These findings highlight a specific alteration in iFC patterns associated with SN in patients with OCD and provide new insights into the dysfunctional brain organization of the SN in patients with OCD.
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Affiliation(s)
- Yun-Hui Chen
- Department of Psychiatry, Qiqihar Medical University, Qiqihar, China
| | - Su-Fang Li
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Dan Lv
- Department of Psychiatry, Qiqihar Medical University, Qiqihar, China
| | | | - Yu-Hua Wang
- Department of Psychiatry, Qiqihar Medical University, Qiqihar, China
| | - Xin Meng
- Department of Radiology, The Third Affiliated Hospital of Qiqihar Medical University, Qiqihar, China
| | - Qiang Hu
- Department of Clinical Psychology, Qiqihar Mental Health Center, Qiqihar, China
| | - Cheng-Chong Li
- Department of Psychiatry, Qiqihar Medical University, Qiqihar, China
| | - Liang-Tang Zhang
- Department of Psychiatry, Qiqihar Medical University, Qiqihar, China
| | - Xiang-Ping Chu
- Department of Psychiatry, Qiqihar Medical University, Qiqihar, China
| | - Xiao-Ping Wang
- Department of Psychiatry, National Clinical Research Center on Mental Disorders, National Technology Institute on Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Ping Li
- Department of Psychiatry, Qiqihar Medical University, Qiqihar, China
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30
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Lin CHJ, Yang HC, Knowlton BJ, Wu AD, Iacoboni M, Ye YL, Huang SL, Chiang MC. Contextual interference enhances motor learning through increased resting brain connectivity during memory consolidation. Neuroimage 2018; 181:1-15. [PMID: 29966717 DOI: 10.1016/j.neuroimage.2018.06.081] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2018] [Revised: 06/11/2018] [Accepted: 06/28/2018] [Indexed: 01/12/2023] Open
Abstract
Increasing contextual interference (CI) during practice benefits learning, making it a desirable difficulty. For example, interleaved practice (IP) of motor sequences is generally more difficult than repetitive practice (RP) during practice but leads to better learning. Here we investigated whether CI in practice modulated resting-state functional connectivity during consolidation. 26 healthy adults (11 men/15 women, age = 23.3 ± 1.3 years) practiced two sets of three sequences in an IP or RP condition over 2 days, followed by a retention test on Day 5 to evaluate learning. On each practice day, functional magnetic resonance imaging (fMRI) data were acquired during practice and also in a resting state immediately after practice. The resting-state fMRI data were processed using independent component analysis (ICA) followed by functional connectivity analysis, showing that IP on Day 1 led to greater resting connectivity than RP between the left premotor cortex and left dorsolateral prefrontal cortex (DLPFC), bilateral posterior cingulate cortices, and bilateral inferior parietal lobules. Moreover, greater resting connectivity after IP than RP on Day 1, between the left premotor cortex and the hippocampus, amygdala, putamen, and thalamus on the right, and the cerebellum, was associated with better learning following IP. Mediation analysis further showed that the association between enhanced resting premotor-hippocampal connectivity on Day 1 and better retention performance following IP was mediated by greater task-related functional activation during IP on Day 2. Our findings suggest that the benefit of CI to motor learning is likely through enhanced resting premotor connectivity during the early phase of consolidation.
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Affiliation(s)
- Chien-Ho Janice Lin
- Department of Physical Therapy and Assistive Technology, National Yang-Ming University, Taipei, 112, Taiwan; Yeong-An Orthopedic and Physical Therapy Clinic, Taipei, 112, Taiwan.
| | - Ho-Ching Yang
- Department of Biomedical Engineering, National Yang-Ming University, Taipei, 112, Taiwan.
| | - Barbara J Knowlton
- Department of Psychology, University of California, Los Angeles, CA, 90095, USA.
| | - Allan D Wu
- Department of Neurology, David Geffen School of Medicine, University of California, Los Angeles, CA, 90095, USA; Ahmanson-Lovelace Brain Mapping Center, University of California, Los Angeles, CA, 90095, USA.
| | - Marco Iacoboni
- Ahmanson-Lovelace Brain Mapping Center, University of California, Los Angeles, CA, 90095, USA; Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, CA, 90095, USA.
| | - Yu-Ling Ye
- Department of Biomedical Engineering, National Yang-Ming University, Taipei, 112, Taiwan; Department of Diagnostic Radiology, Chang Gung Memorial Hospital, Chiayi, 613, Taiwan.
| | - Shin-Leh Huang
- Department of Biomedical Engineering, National Yang-Ming University, Taipei, 112, Taiwan.
| | - Ming-Chang Chiang
- Department of Biomedical Engineering, National Yang-Ming University, Taipei, 112, Taiwan.
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Bijsterbosch JD, Woolrich MW, Glasser MF, Robinson EC, Beckmann CF, Van Essen DC, Harrison SJ, Smith SM. The relationship between spatial configuration and functional connectivity of brain regions. eLife 2018; 7:32992. [PMID: 29451491 PMCID: PMC5860869 DOI: 10.7554/elife.32992] [Citation(s) in RCA: 124] [Impact Index Per Article: 20.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2017] [Accepted: 02/15/2018] [Indexed: 12/24/2022] Open
Abstract
Brain connectivity is often considered in terms of the communication between functionally distinct brain regions. Many studies have investigated the extent to which patterns of coupling strength between multiple neural populations relates to behaviour. For example, studies have used ‘functional connectivity fingerprints’ to characterise individuals' brain activity. Here, we investigate the extent to which the exact spatial arrangement of cortical regions interacts with measures of brain connectivity. We find that the shape and exact location of brain regions interact strongly with the modelling of brain connectivity, and present evidence that the spatial arrangement of functional regions is strongly predictive of non-imaging measures of behaviour and lifestyle. We believe that, in many cases, cross-subject variations in the spatial configuration of functional brain regions are being interpreted as changes in functional connectivity. Therefore, a better understanding of these effects is important when interpreting the relationship between functional imaging data and cognitive traits. People differ a lot from one another in terms of their personality, behaviour and lifestyle. This individuality is attributed to the different regions in the brain, and the strength of communication between them. The connectivity pattern between these areas is thought to be as unique as a fingerprint. If the connections are weak or disrupted it can play a role in conditions such as schizophrenia, depression or Alzheimer’s disease. It is thought that the strength of the connection depends on how strongly the nerve cells in these regions communicate. But are these individual differences solely caused by different strengths of connection, or could other factors contribute to them? Now, Bijsterbosch et al. found that the size, shape and exact position of the brain regions was also strongly linked to the different behaviours of individuals. The study used brain scans, behavioural tests and questionnaires from a large database about lifestyle choices and demographics, to analyse the relationship between the different brain features of healthy individuals. The results showed that the variations in the brain regions were linked to many behavioural factors including intelligence, life satisfaction, drug use and aggression problems. Moreover, Bijsterbosch et al. showed that the existing methods for estimating the strength of connection between brain regions could reveal more about the spatial layout of these regions than the actual connection strength between them. This suggests that new approaches are needed to properly evaluate the strength of the connections. Some psychiatric and neurological diseases may be associated with changes in size and position of the different regions in the brain. In future, the findings of this study could be applied to individuals affected by such conditions, to see if the location of a region could be used as a diagnostic indicator.
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Affiliation(s)
- Janine Diane Bijsterbosch
- Centre for Functional MRI of the Brain, Wellcome Centre for Integrative Neuroimaging, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom
| | - Mark W Woolrich
- Centre for Human Brain Activity, Wellcome Centre for Integrative Neuroimaging, Department of Psychiatry, University of Oxford, Oxford, United Kingdom
| | - Matthew F Glasser
- Department of Neuroscience, Washington University Medical School, Missouri, United States.,St. Luke's Hospital, Missouri, United States
| | - Emma C Robinson
- Department of Biomedical Engineering, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom
| | - Christian F Beckmann
- Donders Institute, Radboud University Medical Centre, Nijmegen, Netherlands.,Department of Cognitive Neurosciences, Radboud University Medical Centre, Nijmegan, Netherlands
| | - David C Van Essen
- Department of Neuroscience, Washington University Medical School, Missouri, United States
| | - Samuel J Harrison
- Centre for Functional MRI of the Brain, Wellcome Centre for Integrative Neuroimaging, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom
| | - Stephen M Smith
- Centre for Functional MRI of the Brain, Wellcome Centre for Integrative Neuroimaging, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom
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O’Neill A, Bhattacharyya S. Investigating the Role of the Endocannabinoid System in Early Psychosis. JOURNAL OF EXPLORATORY RESEARCH IN PHARMACOLOGY 2017; 2:85-92. [DOI: 10.14218/jerp.2017.00009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
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33
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Schreiner M, Forsyth JK, Karlsgodt KH, Anderson AE, Hirsh N, Kushan L, Uddin LQ, Mattiacio L, Coman IL, Kates WR, Bearden CE. Intrinsic Connectivity Network-Based Classification and Detection of Psychotic Symptoms in Youth With 22q11.2 Deletions. Cereb Cortex 2017; 27:3294-3306. [PMID: 28383675 PMCID: PMC6059149 DOI: 10.1093/cercor/bhx076] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2015] [Revised: 02/01/2017] [Indexed: 01/10/2023] Open
Abstract
22q11.2 Deletion syndrome (22q11DS) is a genetic disorder associated with numerous phenotypic consequences and is one of the greatest known risk factors for psychosis. We investigated intrinsic-connectivity-networks (ICNs) as potential biomarkers for patient and psychosis-risk status in 2 independent cohorts, UCLA (33 22q11DS-participants, 33 demographically matched controls), and Syracuse (28 22q11DS, 28 controls). After assessing group connectivity differences, ICNs from the UCLA cohort were used to train classifiers to distinguish cases from controls, and to predict psychosis risk status within 22q11DS; classifiers were subsequently tested on the Syracuse cohort. In both cohorts we observed significant hypoconnectivity in 22q11DS relative to controls within anterior cingulate (ACC)/precuneus, executive, default mode (DMN), posterior DMN, and salience networks. Of 12 ICN-derived classifiers tested in the Syracuse replication-cohort, the ACC/precuneus, DMN, and posterior DMN classifiers accurately distinguished between 22q11DS and controls. Within 22q11DS subjects, connectivity alterations within 4 networks predicted psychosis risk status for a given individual in both cohorts: the ACC/precuneus, DMN, left executive, and salience networks. Widespread within-network-hypoconnectivity in large-scale networks implicated in higher-order cognition may be a defining characteristic of 22q11DS during adolescence and early adulthood; furthermore, loss of coherence within these networks may be a valuable biomarker for individual prediction of psychosis-risk in 22q11DS.
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Affiliation(s)
- Matthew Schreiner
- Department of Psychiatry & Biobehavioral Sciences, University of California, Los Angeles, CA 90095, USA
- Interdepartmental Neuroscience Program, University of California, Los Angeles, CA 90095, USA
| | - Jennifer K. Forsyth
- Department of Psychology, University of California, Los Angeles, CA 90095, USA
| | | | - Ariana E. Anderson
- Department of Psychiatry & Biobehavioral Sciences, University of California, Los Angeles, CA 90095, USA
| | - Nurit Hirsh
- Department of Psychology, University of California, Los Angeles, CA 90095, USA
| | - Leila Kushan
- Department of Psychology, University of California, Los Angeles, CA 90095, USA
| | - Lucina Q. Uddin
- Department of Psychology, University of Miami, Coral Gables, FL 33124, USA
- Neuroscience Program, University of Miami Miller School of Medicine, Miami, FL 33136, USA
| | - Leah Mattiacio
- Department of Psychiatry and Behavioral Sciences, SUNY Upstate Medical University, New York, NY 13210, USA
| | - Ioana L. Coman
- Department of Psychiatry and Behavioral Sciences, SUNY Upstate Medical University, New York, NY 13210, USA
| | - Wendy R. Kates
- Department of Psychiatry and Behavioral Sciences, SUNY Upstate Medical University, New York, NY 13210, USA
| | - Carrie E. Bearden
- Department of Psychiatry & Biobehavioral Sciences, University of California, Los Angeles, CA 90095, USA
- Department of Psychology, University of California, Los Angeles, CA 90095, USA
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Aberrant Network Activity in Schizophrenia. Trends Neurosci 2017; 40:371-382. [PMID: 28515010 DOI: 10.1016/j.tins.2017.04.003] [Citation(s) in RCA: 75] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2017] [Revised: 04/13/2017] [Accepted: 04/14/2017] [Indexed: 12/25/2022]
Abstract
Brain dynamic changes associated with schizophrenia are largely equivocal, with interpretation complicated by many factors, such as the presence of therapeutic agents and the complex nature of the syndrome itself. Evidence for a brain-wide change in individual network oscillations, shared by all patients, is largely equivocal, but stronger for lower (delta) than for higher (gamma) bands. However, region-specific changes in rhythms across multiple, interdependent, nested frequencies may correlate better with pathology. Changes in synaptic excitation and inhibition in schizophrenia disrupt delta rhythm-mediated cortico-cortical communication, while enhancing thalamocortical communication in this frequency band. The contrasting relationships between delta and higher frequencies in thalamus and cortex generate frequency mismatches in inter-regional connectivity, leading to a disruption in temporal communication between higher-order brain regions associated with mental time travel.
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Gong Q, Hu X, Pettersson-Yeo W, Xu X, Lui S, Crossley N, Wu M, Zhu H, Mechelli A. Network-Level Dysconnectivity in Drug-Naïve First-Episode Psychosis: Dissociating Transdiagnostic and Diagnosis-Specific Alterations. Neuropsychopharmacology 2017; 42:933-940. [PMID: 27782128 PMCID: PMC5312071 DOI: 10.1038/npp.2016.247] [Citation(s) in RCA: 40] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/25/2016] [Revised: 10/06/2016] [Accepted: 10/17/2016] [Indexed: 02/05/2023]
Abstract
The neuroimaging literature provides compelling evidence for functional dysconnectivity in people with psychosis. However, it is likely that at least some of the observed alterations represent secondary effects of illness chronicity and/or antipsychotic medication. In addition, the extent to which these alterations are specific to psychosis or represent a transdiagnostic feature of psychiatric illness remains unclear. The aim of this study was therefore to examine the diagnostic specificity of functional dysconnectivity in drug-naïve first-episode psychosis (FEP). We used resting-state functional magnetic resonance imaging and functional connectivity analysis to estimate network-level connectivity in 50 patients with FEP, 50 patients with major depressive disorder (MDD), 50 patients with post-traumatic stress disorder (PTSD), and 122 healthy controls (HCs). The FEP, MDD, and PTSD groups showed reductions in intranetwork connectivity of the default mode network relative to the HC group (p<0.05 corrected); therefore, intranetwork alterations were expressed across the three diagnostic groups. In addition, the FEP group showed heightened internetwork connectivity between the default mode network, particularly the anterior cingulate cortex, and the central executive network relative to the MDD, PTSD, and HC groups (p<0.05 corrected); therefore, internetwork alterations were specific to the FEP. These findings suggest that network-level alterations are present in individuals with a first episode of psychosis who have not been exposed to antipsychotic medication. In addition, they suggest a dissociation between aberrant internetwork connectivity as a distinctive feature of psychosis and aberrant intranetwork connectivity as a transdiagnostic feature of psychiatric illness.
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Affiliation(s)
- Qiyong Gong
- Huaxi MR Research Center (HMRRC), Departments of Radiology, West China Hospital of Sichuan University, Chengdu, China,Department of Psychology, School of Public Administration, Sichuan University, Chengdu, China,Department of Psychiatry, West China Hospital of Sichuan University, Chengdu, China
| | - Xinyu Hu
- Huaxi MR Research Center (HMRRC), Departments of Radiology, West China Hospital of Sichuan University, Chengdu, China
| | - William Pettersson-Yeo
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Xin Xu
- Department of Psychiatry, West China Hospital of Sichuan University, Chengdu, China
| | - Su Lui
- Huaxi MR Research Center (HMRRC), Departments of Radiology, West China Hospital of Sichuan University, Chengdu, China
| | - Nicolas Crossley
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK,Department of Psychiatry, School of Medicine, Pontifical Catholic University of Chile, Santiago, Chile
| | - Min Wu
- Huaxi MR Research Center (HMRRC), Departments of Radiology, West China Hospital of Sichuan University, Chengdu, China
| | - Hongyan Zhu
- Laboratory of Stem Cell Biology, State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, China,Laboratory of Stem Cell Biology, West China Hospital of Sichuan University, 37 Guoxue Lane, Wuhou District, Chengdu, Sichuan Province, 610041, China, Tel/Fax: +86 (0) 28 85423503, E-mail:
| | - Andrea Mechelli
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
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Cui LB, Liu L, Guo F, Chen YC, Chen G, Xi M, Qin W, Sun JB, Li C, Xi YB, Wang HN, Yin H. Disturbed Brain Activity in Resting-State Networks of Patients with First-Episode Schizophrenia with Auditory Verbal Hallucinations: A Cross-sectional Functional MR Imaging Study. Radiology 2017; 283:810-819. [PMID: 28045645 DOI: 10.1148/radiol.2016160938] [Citation(s) in RCA: 45] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
Purpose To investigate auditory verbal hallucination (AVH)-specific patterns of brain activity within the resting-state networks (RSNs) that have been proposed to underpin the neural mechanisms of schizophrenia (SZ). Materials and Methods This cross-sectional study was approved by the local ethics committee, and written informed consent was obtained from all participants prospectively recruited. Independent component analysis was used to investigate RSNs in 17 patients with first-episode untreated SZ with AVHs, 15 patients with SZ without AVHs, and 19 healthy control subjects who underwent resting-state functional magnetic resonance imaging. Dual regression was implemented to perform between-group analysis. Regional brain function was then explored within RSNs by using the amplitude of low-frequency fluctuation. Two-sample t tests were used to compare regional brain function between the two patient groups, and Pearson correlation analysis was used to characterize the relationship between imaging findings and severity of AVHs. Receiver operating characteristic analysis was used to evaluate the diagnostic performance of these brain function measures. Results Independent component analysis demonstrated symptom-specific abnormal disrupted coactivation within the auditory, default mode, executive, motor, and frontoparietal networks and was pronounced in the auditory cortex, supramarginal gyrus, insula, putamen, dorsolateral prefrontal cortex, angular gyrus, precuneus, and thalamus (P < .05 with false discovery rate correction). Amplitude of low-frequency fluctuation analysis demonstrated similar patterns within these RSNs (P < .05 with false discovery rate correction). Furthermore, a positive correlation between the degree of coactivation within the motor network and the severity of AVHs was observed in patients with SZ with AVHs (r = 0.67, P = .003). The area under the receiver operating characteristic curve was 0.76-0.90 for all RSNs. Conclusion These findings indicate that dysfunctional brain regions are involved in auditory processing, language production and monitoring, and sensory information filtering in patients with SZ with AVHs, which may be helpful in furthering the understanding of pathophysiological correlates of AVHs in SZ. Online supplemental material is available for this article.
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Affiliation(s)
- Long-Biao Cui
- From the Departments of Radiology (L.B.C., F.G., G.C., C.L., Y.B.X., H.Y.) and Psychiatry (Y.C.C., M.X., H.N.W.), Xijing Hospital, Fourth Military Medical University, No. 127 W Changle Road, Xi'an, Shaanxi 710032, China; and School of Life Sciences and Technology, Xidian University, Xi'an, Shaanxi, China (L.L., W.Q., J.B.S.)
| | - Lin Liu
- From the Departments of Radiology (L.B.C., F.G., G.C., C.L., Y.B.X., H.Y.) and Psychiatry (Y.C.C., M.X., H.N.W.), Xijing Hospital, Fourth Military Medical University, No. 127 W Changle Road, Xi'an, Shaanxi 710032, China; and School of Life Sciences and Technology, Xidian University, Xi'an, Shaanxi, China (L.L., W.Q., J.B.S.)
| | - Fan Guo
- From the Departments of Radiology (L.B.C., F.G., G.C., C.L., Y.B.X., H.Y.) and Psychiatry (Y.C.C., M.X., H.N.W.), Xijing Hospital, Fourth Military Medical University, No. 127 W Changle Road, Xi'an, Shaanxi 710032, China; and School of Life Sciences and Technology, Xidian University, Xi'an, Shaanxi, China (L.L., W.Q., J.B.S.)
| | - Yun-Chun Chen
- From the Departments of Radiology (L.B.C., F.G., G.C., C.L., Y.B.X., H.Y.) and Psychiatry (Y.C.C., M.X., H.N.W.), Xijing Hospital, Fourth Military Medical University, No. 127 W Changle Road, Xi'an, Shaanxi 710032, China; and School of Life Sciences and Technology, Xidian University, Xi'an, Shaanxi, China (L.L., W.Q., J.B.S.)
| | - Gang Chen
- From the Departments of Radiology (L.B.C., F.G., G.C., C.L., Y.B.X., H.Y.) and Psychiatry (Y.C.C., M.X., H.N.W.), Xijing Hospital, Fourth Military Medical University, No. 127 W Changle Road, Xi'an, Shaanxi 710032, China; and School of Life Sciences and Technology, Xidian University, Xi'an, Shaanxi, China (L.L., W.Q., J.B.S.)
| | - Min Xi
- From the Departments of Radiology (L.B.C., F.G., G.C., C.L., Y.B.X., H.Y.) and Psychiatry (Y.C.C., M.X., H.N.W.), Xijing Hospital, Fourth Military Medical University, No. 127 W Changle Road, Xi'an, Shaanxi 710032, China; and School of Life Sciences and Technology, Xidian University, Xi'an, Shaanxi, China (L.L., W.Q., J.B.S.)
| | - Wei Qin
- From the Departments of Radiology (L.B.C., F.G., G.C., C.L., Y.B.X., H.Y.) and Psychiatry (Y.C.C., M.X., H.N.W.), Xijing Hospital, Fourth Military Medical University, No. 127 W Changle Road, Xi'an, Shaanxi 710032, China; and School of Life Sciences and Technology, Xidian University, Xi'an, Shaanxi, China (L.L., W.Q., J.B.S.)
| | - Jin-Bo Sun
- From the Departments of Radiology (L.B.C., F.G., G.C., C.L., Y.B.X., H.Y.) and Psychiatry (Y.C.C., M.X., H.N.W.), Xijing Hospital, Fourth Military Medical University, No. 127 W Changle Road, Xi'an, Shaanxi 710032, China; and School of Life Sciences and Technology, Xidian University, Xi'an, Shaanxi, China (L.L., W.Q., J.B.S.)
| | - Chen Li
- From the Departments of Radiology (L.B.C., F.G., G.C., C.L., Y.B.X., H.Y.) and Psychiatry (Y.C.C., M.X., H.N.W.), Xijing Hospital, Fourth Military Medical University, No. 127 W Changle Road, Xi'an, Shaanxi 710032, China; and School of Life Sciences and Technology, Xidian University, Xi'an, Shaanxi, China (L.L., W.Q., J.B.S.)
| | - Yi-Bin Xi
- From the Departments of Radiology (L.B.C., F.G., G.C., C.L., Y.B.X., H.Y.) and Psychiatry (Y.C.C., M.X., H.N.W.), Xijing Hospital, Fourth Military Medical University, No. 127 W Changle Road, Xi'an, Shaanxi 710032, China; and School of Life Sciences and Technology, Xidian University, Xi'an, Shaanxi, China (L.L., W.Q., J.B.S.)
| | - Hua-Ning Wang
- From the Departments of Radiology (L.B.C., F.G., G.C., C.L., Y.B.X., H.Y.) and Psychiatry (Y.C.C., M.X., H.N.W.), Xijing Hospital, Fourth Military Medical University, No. 127 W Changle Road, Xi'an, Shaanxi 710032, China; and School of Life Sciences and Technology, Xidian University, Xi'an, Shaanxi, China (L.L., W.Q., J.B.S.)
| | - Hong Yin
- From the Departments of Radiology (L.B.C., F.G., G.C., C.L., Y.B.X., H.Y.) and Psychiatry (Y.C.C., M.X., H.N.W.), Xijing Hospital, Fourth Military Medical University, No. 127 W Changle Road, Xi'an, Shaanxi 710032, China; and School of Life Sciences and Technology, Xidian University, Xi'an, Shaanxi, China (L.L., W.Q., J.B.S.)
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Sheffield JM, Kandala S, Burgess GC, Harms MP, Barch DM. Cingulo-opercular network efficiency mediates the association between psychotic-like experiences and cognitive ability in the general population. BIOLOGICAL PSYCHIATRY: COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2016; 1:498-506. [PMID: 27833940 DOI: 10.1016/j.bpsc.2016.03.009] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Abstract
BACKGROUND Psychosis is hypothesized to occur on a spectrum between psychotic disorders and healthy individuals. In the middle of the spectrum are individuals who endorse psychotic-like experiences (PLEs) that may not impact daily functioning or cause distress. Individuals with PLEs show alterations in both cognitive ability and functional connectivity of several brain networks, but the relationship between PLEs, cognition, and functional networks remains poorly understood. METHODS We analyzed resting-state fMRI data, a range of neuropsychological tasks, and questions from the Achenbach Adult Self Report (ASR) in 468 individuals from the Human Connectome Project. We aimed to determine whether global efficiency of specific functional brain networks supporting higher-order cognition (the fronto-parietal network (FPN), cingulo-opercular network (CON), and default mode network (DMN)) was associated with PLEs and cognitive ability in a non-psychiatric sample. RESULTS 21.6% of individuals in our sample endorsed at least one PLE. PLEs were significantly negatively associated with higher-order cognitive ability, CON global efficiency, and DMN global efficiency, but not crystallized knowledge. Higher-order cognition was significantly positively associated with CON and DMN global efficiency. Interestingly, the association between PLEs and cognitive ability was partially mediated by CON global efficiency and, in a subset of individuals who tested negative for drugs (N=405), the participation coefficient of the right anterior insula (a hub within the CON). CONCLUSIONS These findings suggest that CON integrity may represent a shared mechanism that confers risk for psychotic experiences and the cognitive deficits observed across the psychosis spectrum.
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Affiliation(s)
| | - Sridhar Kandala
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO
| | - Gregory C Burgess
- Department of Anatomy and Neurobiology, Washington University School of Medicine, St. Louis, MO
| | - Michael P Harms
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO
| | - Deanna M Barch
- Department of Psychology, Washington University, St. Louis, MO; Department of Psychiatry, Washington University School of Medicine, St. Louis, MO; Department of Radiology, Washington University School of Medicine, St. Louis, MO
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Schilbach L, Derntl B, Aleman A, Caspers S, Clos M, Diederen KMJ, Gruber O, Kogler L, Liemburg EJ, Sommer IE, Müller VI, Cieslik EC, Eickhoff SB. Differential Patterns of Dysconnectivity in Mirror Neuron and Mentalizing Networks in Schizophrenia. Schizophr Bull 2016; 42:1135-48. [PMID: 26940699 PMCID: PMC4988733 DOI: 10.1093/schbul/sbw015] [Citation(s) in RCA: 41] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Impairments of social cognition are well documented in patients with schizophrenia (SCZ), but the neural basis remains poorly understood. In light of evidence that suggests that the "mirror neuron system" (MNS) and the "mentalizing network" (MENT) are key substrates of intersubjectivity and joint action, it has been suggested that dysfunction of these neural networks may underlie social difficulties in SCZ patients. Additionally, MNS and MENT might be associated differently with positive vs negative symptoms, given prior social cognitive and symptom associations. We assessed resting state functional connectivity (RSFC) in meta-analytically defined MNS and MENT networks in this patient group. Magnetic resonance imaging (MRI) scans were obtained from 116 patients and 133 age-, gender- and movement-matched healthy controls (HC) at 5 different MRI sites. Network connectivity was analyzed for group differences and correlations with clinical symptoms. Results demonstrated decreased connectivity within the MNS and also the MENT in patients compared to controls. Notably, dysconnectivity of the MNS was related to symptom severity, while no such relationship was observed for the MENT. In sum, these findings demonstrate that differential patterns of dysconnectivity exist in SCZ patients, which may contribute differently to the interpersonal difficulties commonly observed in the disorder.
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Affiliation(s)
- Leonhard Schilbach
- Max Planck Institute of Psychiatry, Munich, Germany;,Department of Psychiatry, University Hospital Cologne, Cologne, Germany;,These authors contributed equally
| | - Birgit Derntl
- Department of Psychiatry, Psychotherapy & Psychosomatics, RWTH University Aachen, Aachen, Germany; Jülich Aachen Research Alliance, JARA-BRAIN, Translational Brain Medicine, Jülich-Aachen, Germany; Institute of Neuroscience and Medicine (INM-1), Research Centre Juelich, Juelich, Germany; Department of Psychiatry and Psychotherapy, University of Tübingen, Tübingen, Germany;
| | - Andre Aleman
- BCN Neuroimaging Center, University Medical Center Groningen, University of Groningen, Groningen, Netherlands
| | - Svenja Caspers
- Institute of Neuroscience and Medicine (INM-1), Research Centre Juelich, Juelich, Germany
| | - Mareike Clos
- Institute of Neuroscience and Medicine (INM-1), Research Centre Juelich, Juelich, Germany
| | - Kelly M. J. Diederen
- Neuroscience Division, University Medical Center Utrecht & Rudolf Magnus Institute for Neuroscience, Utrecht, Netherlands
| | - Oliver Gruber
- Department of Psychiatry and Psychotherapy, University of Göttingen, Göttingen, Germany;,Section for Experimental Psychopathology and Neuroimaging, Department of General Psychiatry, Heidelberg University Hospital, Heidelberg, Germany
| | - Lydia Kogler
- Department of Psychiatry, Psychotherapy & Psychosomatics, RWTH University Aachen, Aachen, Germany;,Jülich Aachen Research Alliance, JARA-BRAIN, Translational Brain Medicine, Jülich-Aachen, Germany;,Department of Psychiatry and Psychotherapy, University of Tübingen, Tübingen, Germany
| | - Edith J. Liemburg
- BCN Neuroimaging Center, University Medical Center Groningen, University of Groningen, Groningen, Netherlands
| | - Iris E. Sommer
- Neuroscience Division, University Medical Center Utrecht & Rudolf Magnus Institute for Neuroscience, Utrecht, Netherlands
| | - Veronika I. Müller
- Institute of Neuroscience and Medicine (INM-1), Research Centre Juelich, Juelich, Germany;,Institute of Clinical Neuroscience and Medical Psychology, HHU Duesseldorf, Duesseldorf, Germany
| | - Edna C. Cieslik
- Institute of Neuroscience and Medicine (INM-1), Research Centre Juelich, Juelich, Germany;,Institute of Clinical Neuroscience and Medical Psychology, HHU Duesseldorf, Duesseldorf, Germany
| | - Simon B. Eickhoff
- Institute of Neuroscience and Medicine (INM-1), Research Centre Juelich, Juelich, Germany;,Institute of Clinical Neuroscience and Medical Psychology, HHU Duesseldorf, Duesseldorf, Germany
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Northoff G, Duncan NW. How do abnormalities in the brain's spontaneous activity translate into symptoms in schizophrenia? From an overview of resting state activity findings to a proposed spatiotemporal psychopathology. Prog Neurobiol 2016; 145-146:26-45. [PMID: 27531135 DOI: 10.1016/j.pneurobio.2016.08.003] [Citation(s) in RCA: 85] [Impact Index Per Article: 10.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2015] [Revised: 07/15/2016] [Accepted: 08/08/2016] [Indexed: 01/16/2023]
Abstract
Schizophrenia is a complex neuropsychiatric disorder with a variety of symptoms that include sensorimotor, affective, cognitive, and social changes. The exact neuronal mechanisms underlying these symptoms remain unclear though. Neuroimaging has focused mainly on the brain's extrinsic activity, specifically task-evoked or stimulus-induced activity, as related to the sensorimotor, affective, cognitive, and social functions. Recently, the focus has shifted to the brain's spontaneous activity, otherwise known as its resting state activity. While various spatial and temporal abnormalities have been observed in spontaneous activity in schizophrenia, their meaning and significance for the different psychopathological symptoms in schizophrenia, are yet to be defined. The first aim in this paper is to provide an overview of recent findings concerning changes in the spatial (e.g., functional connectivity) and temporal (e.g., couplings between different frequency fluctuations) properties of spontaneous activity in schizophrenia. The second aim is to link these spatiotemporal changes to the various psychopathological symptoms of schizophrenia, with a specific focus on basic symptoms, formal thought disorder, and ego-disturbances. Based on the various findings described, we postulate that the spatiotemporal changes on the neuronal level of the brain's spontaneous activity transform into corresponding spatiotemporal changes on the psychological level which, in turn, leads to the different kinds of psychopathological symptoms. We consequently suggest a spatiotemporal rather than cognitive or sensory approach to the condition, amounting to what we describe as "Spatiotemporal Psychopathology".
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Affiliation(s)
- Georg Northoff
- Mental Health Centre, Zhejiang University School of Medicine, Hangzhou, Zhejiang Province, China; University of Ottawa Institute of Mental Health Research and University of Ottawa Brain and Mind Research Institute, Ottawa, Canada; Centre for Cognition and Brain Disorders, Hangzhou Normal University, Hangzhou, China; Brain and Consciousness Research Centre, Shuang Ho Hospital, Taipei Medical University, Taipei, Taiwan; Graduate Institute of Humanities in Medicine, Taipei Medical University, Taipei, Taiwan.
| | - Niall W Duncan
- Centre for Cognition and Brain Disorders, Hangzhou Normal University, Hangzhou, China; Brain and Consciousness Research Centre, Shuang Ho Hospital, Taipei Medical University, Taipei, Taiwan; Graduate Institute of Humanities in Medicine, Taipei Medical University, Taipei, Taiwan
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Chen H, Wang L, King TZ, Mao H. Increased frontal functional networks in adult survivors of childhood brain tumors. NEUROIMAGE-CLINICAL 2016; 11:339-346. [PMID: 27298763 PMCID: PMC4893013 DOI: 10.1016/j.nicl.2016.02.010] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/18/2015] [Revised: 02/13/2016] [Accepted: 02/18/2016] [Indexed: 12/20/2022]
Abstract
Childhood brain tumors and associated treatment have been shown to affect brain development and cognitive outcomes. Understanding the functional connectivity of brain many years after diagnosis and treatment may inform the development of interventions to improve the long-term outcomes of adult survivors of childhood brain tumors. This work investigated the frontal region functional connectivity of 16 adult survivors of childhood cerebellar tumors after an average of 14.9 years from diagnosis and 16 demographically-matched controls using resting state functional MRI (rs-fMRI). Independent component analysis (ICA) was applied to identify the resting state activity from rs-fMRI data and to select the specific regions associated with executive functions, followed by the secondary analysis of the functional networks connecting these regions. It was found that survivors exhibited differences in the functional connectivity in executive control network (ECN), default mode network (DMN) and salience network (SN) compared to demographically-matched controls. More specifically, the number of functional connectivity observed in the survivors is higher than that in the controls, and with increased strength, or stronger correlation coefficient between paired seeds, in survivors compared to the controls. Observed hyperconnectivity in the selected frontal functional network thus is consistent with findings in patients with other neurological injuries and diseases. rs-fMRI and ICA analysis were used to investigate functional connectivity of adult survivors of childhood brain tumors. Survivors exhibited changes in connectivity in executive function, default mode and salience networks compared to controls. Observed increased number and strength of functional connectivity suggest adaption of hyperconnectivity by survivors.
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Affiliation(s)
- Hongbo Chen
- Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, GA, USA; School of Life and Environmental Sciences, Guilin University of Electronic Technology, Guilin, Guangxi, China
| | - Liya Wang
- Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, GA, USA; Department of Radiology, The Cancer Hospital of Chinese Academy of Medical Sciences, Shenzhen, Guangdong, China
| | - Tricia Z King
- Department of Psychology and Neuroscience Institute, Georgia State University, Atlanta, GA, USA.
| | - Hui Mao
- Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, GA, USA.
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Rieger K, Diaz Hernandez L, Baenninger A, Koenig T. 15 Years of Microstate Research in Schizophrenia - Where Are We? A Meta-Analysis. Front Psychiatry 2016; 7:22. [PMID: 26955358 PMCID: PMC4767900 DOI: 10.3389/fpsyt.2016.00022] [Citation(s) in RCA: 105] [Impact Index Per Article: 13.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/04/2015] [Accepted: 02/09/2016] [Indexed: 01/24/2023] Open
Abstract
Schizophrenia patients show abnormalities in a broad range of task demands. Therefore, an explanation common to all these abnormalities has to be sought independently of any particular task, ideally in the brain dynamics before a task takes place or during resting state. For the neurobiological investigation of such baseline states, EEG microstate analysis is particularly well suited, because it identifies subsecond global states of stable connectivity patterns directly related to the recruitment of different types of information processing modes (e.g., integration of top-down and bottom-up information). Meanwhile, there is an accumulation of evidence that particular microstate networks are selectively affected in schizophrenia. To obtain an overall estimate of the effect size of these microstate abnormalities, we present a systematic meta-analysis over all studies available to date relating EEG microstates to schizophrenia. Results showed medium size effects for two classes of microstates, namely, a class labeled C that was found to be more frequent in schizophrenia and a class labeled D that was found to be shortened. These abnormalities may correspond to core symptoms of schizophrenia, e.g., insufficient reality testing and self-monitoring as during auditory verbal hallucinations. As interventional studies have shown that these microstate features may be systematically affected using antipsychotic drugs or neurofeedback interventions, these findings may help introducing novel diagnostic and treatment options.
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Affiliation(s)
- Kathryn Rieger
- Translational Research Center, University Hospital of Psychiatry, University of Bern, Bern, Switzerland; Center for Cognition, Learning and Memory, University of Bern, Bern, Switzerland
| | - Laura Diaz Hernandez
- Translational Research Center, University Hospital of Psychiatry, University of Bern, Bern, Switzerland; Center for Cognition, Learning and Memory, University of Bern, Bern, Switzerland
| | - Anja Baenninger
- Translational Research Center, University Hospital of Psychiatry, University of Bern , Bern , Switzerland
| | - Thomas Koenig
- Translational Research Center, University Hospital of Psychiatry, University of Bern, Bern, Switzerland; Center for Cognition, Learning and Memory, University of Bern, Bern, Switzerland
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Baenninger A, Diaz Hernandez L, Rieger K, Ford JM, Kottlow M, Koenig T. Inefficient Preparatory fMRI-BOLD Network Activations Predict Working Memory Dysfunctions in Patients with Schizophrenia. Front Psychiatry 2016; 7:29. [PMID: 27047395 PMCID: PMC4796005 DOI: 10.3389/fpsyt.2016.00029] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/17/2015] [Accepted: 02/22/2016] [Indexed: 11/13/2022] Open
Abstract
Patients with schizophrenia show abnormal dynamics and structure of temporally -coherent networks (TCNs) assessed using fMRI, which undergo adaptive shifts in preparation for a cognitively demanding task. During working memory (WM) tasks, patients with schizophrenia show persistent deficits in TCNs as well as EEG indices of WM. Studying their temporal relationship during WM tasks might provide novel insights into WM performance deficits seen in schizophrenia. Simultaneous EEG-fMRI data were acquired during the performance of a verbal Sternberg WM task with two load levels (load 2 and load 5) in 17 patients with schizophrenia and 17 matched healthy controls. Using covariance mapping, we investigated the relationship of the activity in the TCNs before the memoranda were encoded and EEG spectral power during the retention interval. We assessed four TCNs - default mode network (DMN), dorsal attention network (dAN), left and right working memory networks (WMNs) - and three EEG bands - theta, alpha, and beta. In healthy controls, there was a load-dependent inverse relation between DMN and frontal midline theta power and an anti-correlation between DMN and dAN. Both effects were not significantly detectable in patients. In addition, healthy controls showed a left-lateralized load-dependent recruitment of the WMNs. Activation of the WMNs was bilateral in patients, suggesting more resources were recruited for successful performance on the WM task. Our findings support the notion of schizophrenia patients showing deviations in their neurophysiological responses before the retention of relevant information in a verbal WM task. Thus, treatment strategies as neurofeedback -targeting prestates could be beneficial as task performance relies on the preparatory state of the brain.
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Affiliation(s)
- Anja Baenninger
- Translational Research Center, University Hospital of Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland; San Francisco VA Medical Center, San Francisco, CA, USA
| | - Laura Diaz Hernandez
- Translational Research Center, University Hospital of Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland; Center for Cognition, Learning and Memory, University of Bern, Bern, Switzerland
| | - Kathryn Rieger
- Center for Cognition, Learning and Memory, University of Bern , Bern , Switzerland
| | - Judith M Ford
- San Francisco VA Medical Center, San Francisco, CA, USA; Department of Psychiatry, University of California San Francisco, San Francisco, CA, USA
| | - Mara Kottlow
- Translational Research Center, University Hospital of Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland; Center for Cognition, Learning and Memory, University of Bern, Bern, Switzerland
| | - Thomas Koenig
- Translational Research Center, University Hospital of Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland; Center for Cognition, Learning and Memory, University of Bern, Bern, Switzerland
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Kraguljac NV, White DM, Hadley JA, Visscher K, Knight D, ver Hoef L, Falola B, Lahti AC. Abnormalities in large scale functional networks in unmedicated patients with schizophrenia and effects of risperidone. NEUROIMAGE-CLINICAL 2015; 10:146-58. [PMID: 26793436 PMCID: PMC4683457 DOI: 10.1016/j.nicl.2015.11.015] [Citation(s) in RCA: 83] [Impact Index Per Article: 9.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/30/2015] [Revised: 10/30/2015] [Accepted: 11/20/2015] [Indexed: 12/25/2022]
Abstract
Objective To describe abnormalities in large scale functional networks in unmedicated patients with schizophrenia and to examine effects of risperidone on networks. Material and methods 34 unmedicated patients with schizophrenia and 34 matched healthy controls were enrolled in this longitudinal study. We collected resting state functional MRI data with a 3T scanner at baseline and six weeks after they were started on risperidone. In addition, a group of 19 healthy controls were scanned twice six weeks apart. Four large scale networks, the dorsal attention network, executive control network, salience network, and default mode network were identified with seed based functional connectivity analyses. Group differences in connectivity, as well as changes in connectivity over time, were assessed on the group's participant level functional connectivity maps. Results In unmedicated patients with schizophrenia we found resting state connectivity to be increased in the dorsal attention network, executive control network, and salience network relative to control participants, but not the default mode network. Dysconnectivity was attenuated after six weeks of treatment only in the dorsal attention network. Baseline connectivity in this network was also related to clinical response at six weeks of treatment with risperidone. Conclusions Our results demonstrate abnormalities in large scale functional networks in patients with schizophrenia that are modulated by risperidone only to a certain extent, underscoring the dire need for development of novel antipsychotic medications that have the ability to alleviate symptoms through attenuation of dysconnectivity. We found widespread functional dysconnectivity in unmedicated patients with schizophrenia. Large scale functional networks appear differentially affected in the disorder. Attenuation of dysconnectivity with risperidone is seen only to a limited extent.
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Key Words
- ALFF, amplitude of low frequency fluctuations
- Antipsychotic medication
- BOLD, blood oxygen level dependent signal
- BPRS, Brief Psychiatric Rating Scale
- DAN, dorsal attention network
- DARTEL, diffeomorphic anatomical registration using exponentiated lie algebra algorithm
- DMN, default mode network
- Default mode network
- Dorsal attention network
- ECN, executive control network
- Executive control network
- FD, framewise displacement
- FDR, false discovery rate
- HC, healthy control
- KE, cluster extent
- MNI, Montreal Neurological Institute
- RBANS, Repeatable Battery for the Assessment of Neuropsychological Status
- SZ, patient with schizophrenia
- Salience network
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Affiliation(s)
- Nina Vanessa Kraguljac
- Department of Psychiatry and Behavioral Neurobiology, University of Alabama at Birmingham, Birmingham, AL, 35294, USA
| | - David Matthew White
- Department of Psychiatry and Behavioral Neurobiology, University of Alabama at Birmingham, Birmingham, AL, 35294, USA
| | - Jennifer Ann Hadley
- Department of Psychiatry and Behavioral Neurobiology, University of Alabama at Birmingham, Birmingham, AL, 35294, USA
| | - Kristina Visscher
- Department of Neurobiology, University of Alabama at Birmingham, Birmingham, AL 35294, USA
| | - David Knight
- Department of Psychology, University of Alabama at Birmingham, Birmingham, AL 35294, USA
| | - Lawrence ver Hoef
- Department of Neurology, University of Alabama at Birmingham, Birmingham, AL 35294, USA
| | - Blessing Falola
- Department of Psychiatry and Behavioral Neurobiology, University of Alabama at Birmingham, Birmingham, AL, 35294, USA
| | - Adrienne Carol Lahti
- Department of Psychiatry and Behavioral Neurobiology, University of Alabama at Birmingham, Birmingham, AL, 35294, USA
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Towards Using Microstate-Neurofeedback for the Treatment of Psychotic Symptoms in Schizophrenia. A Feasibility Study in Healthy Participants. Brain Topogr 2015; 29:308-21. [PMID: 26582260 DOI: 10.1007/s10548-015-0460-4] [Citation(s) in RCA: 37] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2015] [Accepted: 10/28/2015] [Indexed: 10/22/2022]
Abstract
Spontaneous EEG signal can be parsed into sub-second periods of stable functional states (microstates) that assumingly correspond to brief large scale synchronization events. In schizophrenia, a specific class of microstate (class "D") has been found to be shorter than in healthy controls and to be correlated with positive symptoms. To explore potential new treatment options in schizophrenia, we tested in healthy controls if neurofeedback training to self-regulate microstate D presence is feasible and what learning patterns are observed. Twenty subjects underwent EEG-neurofeedback training to up-regulate microstate D presence. The protocol included 20 training sessions, consisting of baseline trials (resting state), regulation trials with auditory feedback contingent on microstate D presence, and a transfer trial. Response to neurofeedback was assessed with mixed effects modelling. All participants increased the percentage of time spent producing microstate D in at least one of the three conditions (p < 0.05). Significant between-subjects across-sessions results showed an increase of 0.42 % of time spent producing microstate D in baseline (reflecting a sustained change in the resting state), 1.93 % of increase during regulation and 1.83 % during transfer. Within-session analysis (performed in baseline and regulation trials only) showed a significant 1.65 % increase in baseline and 0.53 % increase in regulation. These values are in a range that is expected to have an impact upon psychotic experiences. Additionally, we found a negative correlation between alpha power and microstate D contribution during neurofeedback training. Given that microstate D has been related to attentional processes, this result provides further evidence that the training was to some degree specific for the attentional network. We conclude that microstate-neurofeedback training proved feasible in healthy subjects. The implementation of the same protocol in schizophrenia patients may promote skills useful to reduce positive symptoms by means of EEG-neurofeedback.
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