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Xiao Q, Zhang G, Zhong Y. Abnormal functional connectivity of the intrinsic networks in adolescent bipolar I versus bipolar II disorder. Psychiatry Res Neuroimaging 2024; 340:111802. [PMID: 38428239 DOI: 10.1016/j.pscychresns.2024.111802] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/12/2022] [Revised: 01/07/2024] [Accepted: 02/19/2024] [Indexed: 03/03/2024]
Abstract
BACKGROUND The symptoms of pediatric bipolar disorder (PBD)-I and PBD-II differ, but accurate identification at an early stage is difficult and may prevent effective treatment of this disorder. Therefore, it is urgent to elucidate a biological marker based on objective imaging indicators to help distinguish the two. Therefore, this research aims to compare the functional connectivity between PBD-I patient and PBD-II patient in different brain networks. METHODS Our study enrolled 31 PBD-I and 23 PBD-II patients from 12 to 17 years of age. They were analyzed by resting state-functional connectivity through Independent component analysis (ICA). RESULTS We found differences between PBD-I and PBD-II in functional connectivity of the default network, frontoparietal network, salience network and limbic system. In addition, the clinical features, cognitive functions are associated with the functional connectivity of the intrinsic networks in PBD-I and PBD-II separately. CONCLUSION This research is the first to find differences in functional connectivity between PBD-I and PBD-II, suggesting that abnormality of the functional connectivity within large networks may be biomarkers that help differentiate PBD-I from PBD-II in the future.
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Affiliation(s)
- Qian Xiao
- Mental Health Centre of Xiangya Hospital, Central South University, Changsha 410008, Hunan, China
| | - Gui Zhang
- School of Psychology, Nanjing Normal University, Nanjing 210097, China
| | - Yuan Zhong
- School of Psychology, Nanjing Normal University, Nanjing 210097, China.
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2
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Wu J, Qi S, Yu W, Gao Y, Ma J. Regional Homogeneity of the Left Posterior Cingulate Gyrus May Be a Potential Imaging Biomarker of Manic Episodes in First-Episode, Drug-Naive Bipolar Disorder. Neuropsychiatr Dis Treat 2023; 19:2775-2785. [PMID: 38106358 PMCID: PMC10725752 DOI: 10.2147/ndt.s441021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/13/2023] [Accepted: 12/07/2023] [Indexed: 12/19/2023] Open
Abstract
Introduction Abnormal brain networks with emotional response in bipolar disorder (BD). However, there have been few studies on the local consistency between manic episodes in drug-naive first-episode BD patients and healthy controls (HCs). The purpose of this study is to evaluate the utility of neural activity values analyzed by Regional Homogeneity (ReHo). Methods Thirty-seven manic episodes in first-episode, drug-naive BD patients and 37 HCs participated in resting-state functional magnetic resonance rescanning and scale estimation. Reho and receiver operating characteristic (ROC) curve methods were used to analyze the imaging data. Support vector machine (SVM) method was used to analyze ReHo in different brain regions. Results Compared to HCs, ReHo increased in the left middle temporal gyrus (MTG.L), posterior cingulate gyrus (PCG), inferior parietal gyrus, and bilateral angular gyrus, and decreased in the left dorsolateral superior frontal gyrus in target group. The ROC results showed that the ReHo value of the left PCG could discriminate the target group from the HCs, and the AUC was 0.8766. In addition, the results of the support vector machine show that the increase in ReHo value in the left PCG can effectively discriminate the patients from the controls, with accuracy, sensitivity, and specificity of 86.02%, 86.49%, and 81.08%, respectively. Conclusion The increased activity of the left PCG may contribute new evidence of participation in the pathophysiology of manic episodes in first-episode, drug-naive BD patients. The Reho value of the left posterior cingulate gyrus may be a potential neuroimaging biomarker to discriminate target group from HCs.
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Affiliation(s)
- Jiajia Wu
- Department of Psychiatry, Wuhan Mental Health Center, Wuhan, People’s Republic of China
- Wuhan Hospital for Psychotherapy, Wuhan, People’s Republic of China
| | - Shuangyu Qi
- Department of Psychiatry, Wuhan Mental Health Center, Wuhan, People’s Republic of China
- Wuhan Hospital for Psychotherapy, Wuhan, People’s Republic of China
| | - Wei Yu
- Department of Psychiatry, Xianning Bode Mental Hospital, Xianning, People’s Republic of China
| | - Yujun Gao
- Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan, People’s Republic of China
| | - Jun Ma
- Department of Psychiatry, Wuhan Mental Health Center, Wuhan, People’s Republic of China
- Wuhan Hospital for Psychotherapy, Wuhan, People’s Republic of China
- Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan, People’s Republic of China
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Xue C, Zhang X, Cao P, Yuan Q, Liang X, Zhang D, Qi W, Hu J, Xiao C. Evidence of functional abnormalities in the default mode network in bipolar depression: A coordinate-based activation likelihood estimation meta-analysis. J Affect Disord 2023; 326:96-104. [PMID: 36717032 DOI: 10.1016/j.jad.2023.01.088] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/02/2022] [Revised: 01/15/2023] [Accepted: 01/25/2023] [Indexed: 01/30/2023]
Abstract
BACKGROUND The default mode network (DMN) is thought to be involved in the pathophysiology of bipolar depression (BD). However, the findings of prior studies on DMN alterations in BD are inconsistent. Thus, this study aimed to systematically investigate functional abnormalities of the DMN in BD patients. METHODS We systematically searched PubMed, Ovid, and Web of Science for functional neuroimaging studies on regional homogeneity, amplitude of low frequency fluctuations (ALFF), and functional connectivity of the DMN in BD patients published before March 18, 2022. The stereotactic coordinates of the reported altered brain regions were extracted and incorporated into a brain map using the coordinate-based activation likelihood estimation approach. RESULTS A total of 43 original research studies were included in the meta-analysis. BD patients showed specific changes in the DMN including decreased ALFF/fractional ALFF in the left cingulate gyrus (CG) and bilateral precuneus (PCUN); increased functional connectivity (FC) in the left CG, left posterior CG, left PCUN, bilateral medial frontal gyrus, and bilateral superior frontal gyrus; and decreased FC in the left CG, left PCUN, left inferior parietal lobule, and left postcentral gyrus. LIMITATIONS Conclusions are limited by the small number of studies, additional meta-analyses are needed to obtain more data in BD subgroup. CONCLUSION This meta-analysis supports specific changes in DMN activity and FC in BD patients, which may be powerful biomarkers for the diagnosis of BD. The CG and PCUN were the most affected regions and are thus potential targets for clinical interventions to delay BD progression.
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Affiliation(s)
- Chen Xue
- Department of Radiology, the Affiliated Brain Hospital of Nanjing Medical University, Nanjing, Jiangsu 210029, China
| | - Xulian Zhang
- Department of Radiology, the Affiliated Brain Hospital of Nanjing Medical University, Nanjing, Jiangsu 210029, China
| | - Ping Cao
- Department of Radiology, the Affiliated Brain Hospital of Nanjing Medical University, Nanjing, Jiangsu 210029, China
| | - Qianqian Yuan
- Department of Radiology, the Affiliated Brain Hospital of Nanjing Medical University, Nanjing, Jiangsu 210029, China
| | - Xuhong Liang
- Department of Radiology, the Affiliated Brain Hospital of Nanjing Medical University, Nanjing, Jiangsu 210029, China
| | - Da Zhang
- Department of Radiology, the Affiliated Brain Hospital of Nanjing Medical University, Nanjing, Jiangsu 210029, China
| | - Wenzhang Qi
- Department of Radiology, the Affiliated Brain Hospital of Nanjing Medical University, Nanjing, Jiangsu 210029, China
| | - Jun Hu
- Department of Radiology, the Affiliated Brain Hospital of Nanjing Medical University, Nanjing, Jiangsu 210029, China.
| | - Chaoyong Xiao
- Department of Radiology, the Affiliated Brain Hospital of Nanjing Medical University, Nanjing, Jiangsu 210029, China.
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Gao J, Zhang L, Zhu J, Guo Z, Lin M, Bai L, Zheng P, Liu W, Huang J, Liu Z. Prefrontal Cortex Hemodynamics and Functional Connectivity Changes during Performance Working Memory Tasks in Older Adults with Sleep Disorders. Brain Sci 2023; 13:brainsci13030497. [PMID: 36979307 PMCID: PMC10046575 DOI: 10.3390/brainsci13030497] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2023] [Revised: 03/04/2023] [Accepted: 03/13/2023] [Indexed: 03/17/2023] Open
Abstract
Objective: Older adults with sleep disorders (SDs) show impaired working memory abilities, and working memory processes are closely related to the prefrontal cortex (PFC). However, the neural mechanism of working memory impairment in older adults with SD remains unclear. This study aimed to investigate changes in PFC function among older adults with SD when carrying out the N-back task by functional near-infrared spectroscopy (fNIRS). Method: A total of 37 older adults with SDs were enrolled in this study and matched with 37 healthy older adults by gender, age, and years of education. Changes in PFC function were observed by fNIRS when carrying out the N-back task. Results: The accuracy on the 0-back and 2-back tasks in the SD group was significantly lower than that in the healthy controls (HC) group. The oxygenated hemoglobin (oxy-Hb) concentration of channel 8 which located in the dorsolateral prefrontal cortex (DLPFC) was significantly reduced in the SD group during the 2-back task, and the channel-to-channel connectivity between the PFC subregions was significantly decreased. Conclusions: These results suggest that patients with sleep disorders have a weak performance of working memory; indeed, the activation and functional connectivity in the prefrontal subregions were reduced in this study. This may provide new evidence for working memory impairment and brain function changes in elderly SDs.
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Affiliation(s)
- Jiahui Gao
- College of Rehabilitation Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou 350122, China
| | - Lin Zhang
- College of Rehabilitation Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou 350122, China
| | - Jingfang Zhu
- College of Rehabilitation Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou 350122, China
| | - Zhenxing Guo
- College of Rehabilitation Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou 350122, China
| | - Miaoran Lin
- College of Rehabilitation Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou 350122, China
| | - Linxin Bai
- College of Rehabilitation Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou 350122, China
| | - Peiyun Zheng
- College of Rehabilitation Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou 350122, China
| | - Weilin Liu
- College of Rehabilitation Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou 350122, China
| | - Jia Huang
- College of Rehabilitation Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou 350122, China
| | - Zhizhen Liu
- College of Rehabilitation Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou 350122, China
- National-Local Joint Engineering Research Center of Rehabilitation Medicine Technology, Fujian University of Traditional Chinese Medicine, Fuzhou 350122, China
- Correspondence:
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Chen H, Jann K, Li Y, Huang J, Chen Y, Kang Y, Gong Z, Huang Y, Wang H, Zhan S, Tan W. A true response of the brain network during electroacupuncture stimulation at scalp acupoints: An fMRI with simultaneous EAS study. Brain Behav 2023; 13:e2829. [PMID: 36427258 PMCID: PMC9847615 DOI: 10.1002/brb3.2829] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/02/2022] [Revised: 09/23/2022] [Accepted: 11/01/2022] [Indexed: 11/27/2022] Open
Abstract
OBJECTIVES The aim of this study was to explore simultaneous brain network responses to electroacupuncture stimulation (EAS) at scalp acupoints by accounting for placebo effects. MATERIALS AND METHODS Sixty healthy subjects were recruited and randomly divided into two groups: Group 1 and Group 2. Functional magnetic resonance imaging (fMRI) was performed in Group 1 with sham acupuncture stimulation at acupoints Shenting (GV24) and Touwei (ST8) without EAS. Group 2 underwent verum EAS at the same acupoints during fMRI. Independent component analysis was used to analyze the fMRI data. Full-factor statistical analysis was used to compare the differences in fMRI data between the two groups and evaluate the changes in functional connectivity in brain networks after verum electrical stimulation (Group 1 [after sham electrical current stimulation - before sham electrical current stimulation] - Group 2 [after verum electrical current stimulation - before verum electrical current stimulation]) (p <.001, extent threshold k = 20 voxels). RESULTS Six brain networks were identified. Significant increased functional connectivity was observed in the right and left executive control networks, sensorimotor network, and attention network, while decreased functional connectivity was mainly found in the default mode network. There were no statistically significant differences in the salience network. CONCLUSIONS fMRI with simultaneous EAS provides a method to explore brain network responses due to EAS at scalp acupoints. The networks responsible for cognition are differentially activated by EAS in a coordinated manner.
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Affiliation(s)
- Hui Chen
- Department of Radiology, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, P. R. China
| | - Kay Jann
- Laboratory of FMRI Technology (LOFT), Mark & Mary Stevens Neuroimaging and Informatics Institute Keck School of Medicine University of Southern California, Los Angeles, California, USA
| | - Yijing Li
- Department of Acupuncture, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, P. R. China
| | - Jiling Huang
- Department of Radiology, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, P. R. China
| | - Yilei Chen
- Department of Radiology, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, P. R. China
| | - Yingjie Kang
- Department of Radiology, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, P. R. China
| | - Zhigang Gong
- Department of Radiology, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, P. R. China
| | - Yanwen Huang
- Department of Radiology, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, P. R. China
| | - Hui Wang
- Department of Radiology, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, P. R. China
| | - Songhua Zhan
- Department of Radiology, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, P. R. China
| | - Wenli Tan
- Department of Radiology, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, P. R. China
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de Sousa TR, Dt C, Novais F. Exploring the Hypothesis of a Schizophrenia and Bipolar Disorder Continuum: Biological, Genetic and Pharmacologic Data. CNS & NEUROLOGICAL DISORDERS DRUG TARGETS 2023; 22:161-171. [PMID: 34477537 DOI: 10.2174/1871527320666210902164235] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/02/2021] [Revised: 07/19/2021] [Accepted: 08/08/2021] [Indexed: 12/16/2022]
Abstract
Present time nosology has its roots in Kraepelin's demarcation of schizophrenia and bipolar disorder. However, accumulating evidence has shed light on several commonalities between the two disorders, and some authors have advocated for the consideration of a disease continuum. Here, we review previous genetic, biological and pharmacological findings that provide the basis for this conceptualization. There is a cross-disease heritability, and they share single-nucleotide polymorphisms in some common genes. EEG and imaging patterns have a number of similarities, namely reduced white matter integrity and abnormal connectivity. Dopamine, serotonin, GABA and glutamate systems have dysfunctional features, some of which are identical among the disorders. Finally, cellular calcium regulation and mitochondrial function are, also, impaired in the two.
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Affiliation(s)
- Teresa Reynolds de Sousa
- Department of Neurosciences and Mental Health, Centro Hospitalar Universitário Lisboa Norte (CHULN), Hospital de Santa Maria, Lisbon, Portugal
| | - Correia Dt
- Department of Neurosciences and Mental Health, Centro Hospitalar Universitário Lisboa Norte (CHULN), Hospital de Santa Maria, Lisbon, Portugal
- Faculdade de Medicina da Universidade de Lisboa, Lisboa, Portugal
- ISAMB - Instituto de Saúde Ambiental, Lisboa, Portugal
| | - Filipa Novais
- Department of Neurosciences and Mental Health, Centro Hospitalar Universitário Lisboa Norte (CHULN), Hospital de Santa Maria, Lisbon, Portugal
- Faculdade de Medicina da Universidade de Lisboa, Lisboa, Portugal
- ISAMB - Instituto de Saúde Ambiental, Lisboa, Portugal
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Evidence for the contribution of HCN1 gene polymorphism (rs1501357) to working memory at both behavioral and neural levels in schizophrenia patients and healthy controls. SCHIZOPHRENIA 2022; 8:66. [PMID: 35987754 PMCID: PMC9392748 DOI: 10.1038/s41537-022-00271-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/21/2022] [Accepted: 07/27/2022] [Indexed: 11/17/2022]
Abstract
Gene HCN1 polymorphism (rs1501357) has been proposed to be one of the candidate risk genes for schizophrenia in the second report of the Psychiatric Genomics Consortium–Schizophrenia Workgroup. Although animal studies repeatedly showed a role of this gene in working memory, its contribution to working memory in human samples, especially in schizophrenia patients, is still unknown. To explore the association between rs1501357 and working memory at both behavioral (Study 1) and neural (Study 2) levels, the current study involved two independent samples. Study 1 included 876 schizophrenia patients and 842 healthy controls, all of whom were assessed on a 2-back task, a dot pattern expectancy task (DPX), and a digit span task. Study 2 included 56 schizophrenia patients and 155 healthy controls, all of whom performed a 2-back task during functional magnetic resonance imaging (fMRI) scanning. In both studies, we consistently found significant genotype-by-diagnosis interaction effects. For Study 1, the interaction effects were significant for the three tasks. Patients carrying the risk allele performed worse than noncarriers, while healthy controls showed the opposite pattern. For Study 2, the interaction effects were observed at the parietal cortex and the medial frontal cortex. Patients carrying the risk allele showed increased activation at right parietal cortex and increased deactivation at the medial frontal cortex, while healthy controls showed the opposite pattern. These results suggest that the contributions of rs1501357 to working memory capability vary in different populations (i.e., schizophrenia patients vs. healthy controls), which expands our understanding of the functional impact of the HCN1 gene. Future studies should examine its associations with other cognitive functions.
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Zhang Z, Bo Q, Li F, Zhao L, Wang Y, Liu R, Chen X, Wang C, Zhou Y. Altered effective connectivity among core brain networks in patients with bipolar disorder. J Psychiatr Res 2022; 152:296-304. [PMID: 35767917 DOI: 10.1016/j.jpsychires.2022.06.031] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/11/2022] [Revised: 06/06/2022] [Accepted: 06/10/2022] [Indexed: 10/18/2022]
Abstract
BACKGROUND Bipolar disorder (BD) is increasingly being regarded as a dysconnection syndrome. Functional integration among the three core brain networks - executive control network (ECN), salience network (SN), and default mode network (DMN) - is abnormal in patients with BD; however, the causal relationship among the three networks in BD is largely unknown. It is also unclear whether patients with BD in different mood states show distinct effective connectivity patterns during rest. METHODS Resting-state fMRI data were collected from 65 patients with BD and 85 healthy controls. Spectral dynamic causal modeling was applied to investigate the effective connectivity difference of the three brain networks between all patients with BD and healthy controls and between patients who were in euthymic mood state (euthymic BD) and depressed mood state (depressed BD). RESULTS Compared with healthy controls, all patients with BD showed altered effective connectivity within and between the ECN and SN and from these two networks to the DMN. Compared with patients with depressed BD, patients with euthymic BD showed increased excitatory effects within the ECN and decreased inhibitory effects from the SN to the ECN and DMN. CONCLUSION These results further confirmed that patients with BD show abnormal functional integration within and among the three core brain networks, and exhibit similar and different effective connectivity patterns in different mood states. Abnormal effective connectivity has the potential to be a critical index for diagnosing BD and differentiating between BD patients with different mood states.
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Affiliation(s)
- Zhifang Zhang
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, 100088, China
| | - Qijing Bo
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, 100088, China; Beijing Institute for Brain Disorders Center of Schizophrenia, Beijing Anding Hospital, Capital Medical University, Beijing, 100088, China
| | - Feng Li
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, 100088, China; Beijing Institute for Brain Disorders Center of Schizophrenia, Beijing Anding Hospital, Capital Medical University, Beijing, 100088, China
| | - Lei Zhao
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, 100088, China; Beijing Institute for Brain Disorders Center of Schizophrenia, Beijing Anding Hospital, Capital Medical University, Beijing, 100088, China
| | - Yun Wang
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, 100088, China
| | - Rui Liu
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, 100088, China
| | - Xiongying Chen
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, 100088, China
| | - Chuanyue Wang
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, 100088, China; Beijing Institute for Brain Disorders Center of Schizophrenia, Beijing Anding Hospital, Capital Medical University, Beijing, 100088, China; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, 100069, China.
| | - Yuan Zhou
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, 100088, China; CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing, 100101, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, 100049, China.
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Tagawa M, Takei Y, Kato Y, Suto T, Hironaga N, Ohki T, Takahashi Y, Fujihara K, Sakurai N, Ujita K, Tsushima Y, Fukuda M. Disrupted local beta band networks in schizophrenia revealed through graph analysis: A magnetoencephalography study. Psychiatry Clin Neurosci 2022; 76:309-320. [PMID: 35397141 DOI: 10.1111/pcn.13362] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/12/2021] [Revised: 03/14/2022] [Accepted: 03/25/2022] [Indexed: 11/30/2022]
Abstract
AIMS Schizophrenia (SZ) is characterized by psychotic symptoms and cognitive impairment, and is hypothesized to be a 'dysconnection' syndrome due to abnormal neural network formation. Although numerous studies have helped elucidate the pathophysiology of SZ, many aspects of the mechanism underlying psychotic symptoms remain unknown. This study used graph theory analysis to evaluate the characteristics of the resting-state network (RSN) in terms of microscale and macroscale indices, and to identify candidates as potential biomarkers of SZ. Specifically, we discriminated topological characteristics in the frequency domain and investigated them in the context of psychotic symptoms in patients with SZ. METHODS We performed graph theory analysis of electrophysiological RSN data using magnetoencephalography to compare topological characteristics represented by microscale (degree centrality and clustering coefficient) and macroscale (global efficiency, local efficiency, and small-worldness) indices in 29 patients with SZ and 38 healthy controls. In addition, we investigated the aberrant topological characteristics of the RSN in patients with SZ and their relationship with SZ symptoms. RESULTS SZ was associated with a decreased clustering coefficient, local efficiency, and small-worldness, especially in the high beta band. In addition, macroscale changes in the low beta band are closely associated with negative symptoms. CONCLUSIONS The local networks of patients with SZ may disintegrate at both the microscale and macroscale levels, mainly in the beta band. Adopting an electrophysiological perspective of SZ as a failure to form local networks in the beta band will provide deeper insights into the pathophysiology of SZ as a 'dysconnection' syndrome.
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Affiliation(s)
- Minami Tagawa
- Department of Psychiatry and Neuroscience, Gunma University Graduate School of Medicine, Gunma, Japan.,Gunma Prefectural Psychiatric Medical Center, Gunma, Japan
| | - Yuichi Takei
- Department of Psychiatry and Neuroscience, Gunma University Graduate School of Medicine, Gunma, Japan
| | - Yutaka Kato
- Department of Psychiatry and Neuroscience, Gunma University Graduate School of Medicine, Gunma, Japan.,Tsutsuji Mental Hospital, Gunma, Japan
| | - Tomohiro Suto
- Gunma Prefectural Psychiatric Medical Center, Gunma, Japan
| | - Naruhito Hironaga
- Brain Center, Faculty of Medicine, Kyushu University, Fukuoka, Japan
| | - Takefumi Ohki
- International Research Center for Neurointelligence (IRCN), The University of Tokyo, Tokyo, Japan
| | - Yumiko Takahashi
- Department of Psychiatry and Neuroscience, Gunma University Graduate School of Medicine, Gunma, Japan
| | - Kazuyuki Fujihara
- Department of Psychiatry and Neuroscience, Gunma University Graduate School of Medicine, Gunma, Japan.,Department of Genetic and Behavioral Neuroscience, Gunma University Graduate School of Medicine, Gunma, Japan
| | - Noriko Sakurai
- Department of Psychiatry and Neuroscience, Gunma University Graduate School of Medicine, Gunma, Japan
| | - Koichi Ujita
- Department of Diagnostic Radiology and Nuclear Medicine, Gunma University Graduate School of Medicine, Gunma, Japan
| | - Yoshito Tsushima
- Department of Diagnostic Radiology and Nuclear Medicine, Gunma University Graduate School of Medicine, Gunma, Japan
| | - Masato Fukuda
- Department of Psychiatry and Neuroscience, Gunma University Graduate School of Medicine, Gunma, Japan
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Rezayat E, Clark K, Dehaqani MRA, Noudoost B. Dependence of Working Memory on Coordinated Activity Across Brain Areas. Front Syst Neurosci 2022; 15:787316. [PMID: 35095433 PMCID: PMC8792503 DOI: 10.3389/fnsys.2021.787316] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2021] [Accepted: 12/06/2021] [Indexed: 11/15/2022] Open
Abstract
Neural signatures of working memory (WM) have been reported in numerous brain areas, suggesting a distributed neural substrate for memory maintenance. In the current manuscript we provide an updated review of the literature focusing on intracranial neurophysiological recordings during WM in primates. Such signatures of WM include changes in firing rate or local oscillatory power within an area, along with measures of coordinated activity between areas based on synchronization between oscillations. In comparing the ability of various neural signatures in any brain area to predict behavioral performance, we observe that synchrony between areas is more frequently and robustly correlated with WM performance than any of the within-area neural signatures. We further review the evidence for alteration of inter-areal synchrony in brain disorders, consistent with an important role for such synchrony during behavior. Additionally, results of causal studies indicate that manipulating synchrony across areas is especially effective at influencing WM task performance. Each of these lines of research supports the critical role of inter-areal synchrony in WM. Finally, we propose a framework for interactions between prefrontal and sensory areas during WM, incorporating a range of experimental findings and offering an explanation for the observed link between intra-areal measures and WM performance.
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Affiliation(s)
- Ehsan Rezayat
- School of Cognitive Sciences, Institute for Research in Fundamental Sciences (IPM), Tehran, Iran
| | - Kelsey Clark
- Department of Ophthalmology and Visual Sciences, University of Utah, Salt Lake City, UT, United States
| | - Mohammad-Reza A. Dehaqani
- School of Cognitive Sciences, Institute for Research in Fundamental Sciences (IPM), Tehran, Iran
- Cognitive Systems Laboratory, Control and Intelligent Processing Center of Excellence (CIPCE), School of Electrical and Computer Engineering, College of Engineering, University of Tehran, Tehran, Iran
| | - Behrad Noudoost
- Department of Ophthalmology and Visual Sciences, University of Utah, Salt Lake City, UT, United States
- *Correspondence: Behrad Noudoost,
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11
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Steinkamp SR, Fink GR, Vossel S, Weidner R. Simultaneous modeling of reaction times and brain dynamics in a spatial cueing task. Hum Brain Mapp 2021; 43:1850-1867. [PMID: 34953009 PMCID: PMC8933333 DOI: 10.1002/hbm.25758] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2020] [Revised: 12/08/2021] [Accepted: 12/13/2021] [Indexed: 11/10/2022] Open
Abstract
Understanding how brain activity translates into behavior is a grand challenge in neuroscientific research. Simultaneous computational modeling of both measures offers to address this question. The extension of the dynamic causal modeling (DCM) framework for blood oxygenation level‐dependent (BOLD) responses to behavior (bDCM) constitutes such a modeling approach. However, only very few studies have employed and evaluated bDCM, and its application has been restricted to binary behavioral responses, limiting more general statements about its validity. This study used bDCM to model reaction times in a spatial attention task, which involved two separate runs with either horizontal or vertical stimulus configurations. We recorded fMRI data and reaction times (n= 26) and compared bDCM with classical DCM and a behavioral Rescorla–Wagner model using Bayesian model selection and goodness of fit statistics. Results indicate that bDCM performed equally well as classical DCM when modeling BOLD responses and as good as the Rescorla–Wagner model when modeling reaction times. Although our data revealed practical limitations of the current bDCM approach that warrant further investigation, we conclude that bDCM constitutes a promising method for investigating the link between brain activity and behavior.
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Affiliation(s)
- Simon R Steinkamp
- Cognitive Neuroscience, Institute of Neuroscience & Medicine (INM-3), Research Centre Juelich, Juelich, Germany
| | - Gereon R Fink
- Cognitive Neuroscience, Institute of Neuroscience & Medicine (INM-3), Research Centre Juelich, Juelich, Germany.,Department of Neurology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Simone Vossel
- Cognitive Neuroscience, Institute of Neuroscience & Medicine (INM-3), Research Centre Juelich, Juelich, Germany.,Department of Psychology, Faculty of Human Sciences, University of Cologne, Cologne, Germany
| | - Ralph Weidner
- Cognitive Neuroscience, Institute of Neuroscience & Medicine (INM-3), Research Centre Juelich, Juelich, Germany
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12
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Cao W, Liao H, Cai S, Peng W, Liu Z, Zheng K, Liu J, Zhong M, Tan C, Yi J. Increased functional interaction within frontoparietal network during working memory task in major depressive disorder. Hum Brain Mapp 2021; 42:5217-5229. [PMID: 34328676 PMCID: PMC8519848 DOI: 10.1002/hbm.25611] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2021] [Revised: 07/17/2021] [Accepted: 07/20/2021] [Indexed: 12/28/2022] Open
Abstract
Abnormal fronto-parietal activation has been suggested as a neural underpinning of the working memory (WM) deficits in major depressive disorder (MDD). However, the potential interaction within the frontoparietal network during WM processing in MDD remains unclear. This study aimed to examine the role of abnormal functional interactions within frontoparietal network in the neuropathological mechanisms of WM deficits in MDD. A total of 40 MDD patients and 47 demographic matched healthy controls (HCs) were included. Functional magnetic resonance imaging and behavioral data were collected during numeric n-back tasks. The psychophysiological interaction and dynamic causal modelling methods were applied to investigate the connectivity within the frontoparietal network in MDD during n-back tasks. The psychophysiological interaction analysis revealed that MDD patients showed increased functional connectivity between the right inferior parietal lobule (IPL) and the right dorsolateral prefrontal cortex (dlPFC) compared with HCs during the 2-back task. The dynamic causal modelling analysis revealed that MDD patients had significantly increased forward modulation connectivity from the right IPL to the right dlPFC than HCs during the 2-back task. Partial correlation was used to calculate the relationship between connective parameters and psychological variables in the MDD group, which showed that the effective connectivity from right IPL to right dlPFC was correlated negatively with the sensitivity index d' of WM performances and positively with the depressive severity in MDD group. In conclusion, the abnormal functional and effective connectivity between frontal and parietal regions might contribute to explain the neuropathological mechanism of working memory deficits in major depressive disorder.
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Affiliation(s)
- Wanyi Cao
- Medical Psychological CenterThe Second Xiangya Hospital, Central South UniversityChangshaHunanChina
- Medical Psychological InstituteCentral South UniversityChangshaHunanChina
- National Clinical Research Center for Mental DisordersChangshaHunanChina
| | - Haiyan Liao
- Department of RadiologyThe Second Xiangya Hospital, Central South UniversityChangshaHunanChina
| | - Sainan Cai
- Department of RadiologyThe Second Xiangya Hospital, Central South UniversityChangshaHunanChina
| | - Wanrong Peng
- Medical Psychological CenterThe Second Xiangya Hospital, Central South UniversityChangshaHunanChina
- Medical Psychological InstituteCentral South UniversityChangshaHunanChina
- National Clinical Research Center for Mental DisordersChangshaHunanChina
| | - Zhaoxia Liu
- Medical Psychological CenterThe Second Xiangya Hospital, Central South UniversityChangshaHunanChina
- Medical Psychological InstituteCentral South UniversityChangshaHunanChina
- National Clinical Research Center for Mental DisordersChangshaHunanChina
| | - Kaili Zheng
- Medical Psychological CenterThe Second Xiangya Hospital, Central South UniversityChangshaHunanChina
- Medical Psychological InstituteCentral South UniversityChangshaHunanChina
- National Clinical Research Center for Mental DisordersChangshaHunanChina
| | - Jinyu Liu
- Center for Studies of Psychological ApplicationSchool of Psychology, South China Normal UniversityGuangzhouGuangdongChina
| | - Mingtian Zhong
- Center for Studies of Psychological ApplicationSchool of Psychology, South China Normal UniversityGuangzhouGuangdongChina
| | - Changlian Tan
- Department of RadiologyThe Second Xiangya Hospital, Central South UniversityChangshaHunanChina
| | - Jinyao Yi
- Medical Psychological CenterThe Second Xiangya Hospital, Central South UniversityChangshaHunanChina
- Medical Psychological InstituteCentral South UniversityChangshaHunanChina
- National Clinical Research Center for Mental DisordersChangshaHunanChina
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13
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Wang D, Liang S. Dynamic Causal Modeling on the Identification of Interacting Networks in the Brain: A Systematic Review. IEEE Trans Neural Syst Rehabil Eng 2021; 29:2299-2311. [PMID: 34714747 DOI: 10.1109/tnsre.2021.3123964] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Dynamic causal modeling (DCM) has long been used to characterize effective connectivity within networks of distributed neuronal responses. Previous reviews have highlighted the understanding of the conceptual basis behind DCM and its variants from different aspects. However, no detailed summary or classification research on the task-related effective connectivity of various brain regions has been made formally available so far, and there is also a lack of application analysis of DCM for hemodynamic and electrophysiological measurements. This review aims to analyze the effective connectivity of different brain regions using DCM for different measurement data. We found that, in general, most studies focused on the networks between different cortical regions, and the research on the networks between other deep subcortical nuclei or between them and the cerebral cortex are receiving increasing attention, but far from the same scale. Our analysis also reveals a clear bias towards some task types. Based on these results, we identify and discuss several promising research directions that may help the community to attain a clear understanding of the brain network interactions under different tasks.
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14
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Gong J, Wang J, Chen P, Qi Z, Luo Z, Wang J, Huang L, Wang Y. Large-scale network abnormality in bipolar disorder: A multimodal meta-analysis of resting-state functional and structural magnetic resonance imaging studies. J Affect Disord 2021; 292:9-20. [PMID: 34087634 DOI: 10.1016/j.jad.2021.05.052] [Citation(s) in RCA: 32] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/31/2021] [Revised: 05/13/2021] [Accepted: 05/23/2021] [Indexed: 12/16/2022]
Abstract
BACKGROUND Bipolar disorder (BD) has been linked to abnormalities in the communication and gray matter volume (GMV) of large-scale brain networks, as reflected by impaired resting-state functional connectivity (rs-FC) and aberrant voxel-based morphometry (VBM). However, identifying patterns of large-scale network abnormality in BD has been elusive. METHODS Whole-brain seed-based rs-FC and VBM studies comparing individuals with BD and healthy controls (HCs) were retrieved from multiple databases. Multilevel kernel density analysis was used to identify brain networks in which BD was linked to hyper-connectivity or hypo-connectivity with each prior network and the overlap between dysconnectivity and GMV changes. RESULTS Thirty-six seed-based rs-FC publications (1526 individuals with BD and 1578 HCs) and 70 VBM publications (2715 BD and 3044 HCs) were included in the meta-analysis. Our results showed that BD was characterized by hypo-connectivity within the default network (DN), hyper-connectivity within the affective network (AN), and ventral attention network (VAN) and hypo- and hyper-connectivity within the frontoparietal network (FN). Hyper-connectivity between-network of AN-DN, AN-FN, AN-VAN, AN-thalamus network (TN), VAN-TN, VAN-DN, VAN-FN, and TN-sensorimotor network were found. Hypo-connectivity between-network of FN and DN was observed. Decreased GMV was found in the insula, inferior frontal gyrus, and anterior cingulate cortex. LIMITATIONS Differential weights in the number of included studies and sample size of FC and VBM might have a disproportionate influence on the meta-analytic results. CONCLUSIONS These results suggest that BD is characterized by both structural and functional abnormalities of large-scale neurocognitive networks, especially in the DN, AN, VAN, FN, and TN.
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Affiliation(s)
- Jiaying Gong
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou 510630, China; Department of Radiology, Six Affiliated Hospital of Sun Yat-sen University, Guangzhou 510655, China
| | - Junjing Wang
- Department of Applied Psychology, Guangdong University of Foreign Studies, Guangzhou 510006, China
| | - Pan Chen
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou 510630, China; Institute of Molecular and Functional Imaging, Jinan University, Guangzhou, 510630, China
| | - Zhangzhang Qi
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou 510630, China; Institute of Molecular and Functional Imaging, Jinan University, Guangzhou, 510630, China
| | - Zhenye Luo
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou 510630, China; Institute of Molecular and Functional Imaging, Jinan University, Guangzhou, 510630, China
| | - Jurong Wang
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou 510630, China; Institute of Molecular and Functional Imaging, Jinan University, Guangzhou, 510630, China
| | - Li Huang
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou 510630, China; Institute of Molecular and Functional Imaging, Jinan University, Guangzhou, 510630, China
| | - Ying Wang
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou 510630, China; Institute of Molecular and Functional Imaging, Jinan University, Guangzhou, 510630, China.
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15
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Snyder AD, Ma L, Steinberg JL, Woisard K, Moeller FG. Dynamic Causal Modeling Self-Connectivity Findings in the Functional Magnetic Resonance Imaging Neuropsychiatric Literature. Front Neurosci 2021; 15:636273. [PMID: 34456665 PMCID: PMC8385130 DOI: 10.3389/fnins.2021.636273] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2020] [Accepted: 06/07/2021] [Indexed: 11/15/2022] Open
Abstract
Dynamic causal modeling (DCM) is a method for analyzing functional magnetic resonance imaging (fMRI) and other functional neuroimaging data that provides information about directionality of connectivity between brain regions. A review of the neuropsychiatric fMRI DCM literature suggests that there may be a historical trend to under-report self-connectivity (within brain regions) compared to between brain region connectivity findings. These findings are an integral part of the neurologic model represented by DCM and serve an important neurobiological function in regulating excitatory and inhibitory activity between regions. We reviewed the literature on the topic as well as the past 13 years of available neuropsychiatric DCM literature to find an increasing (but still, perhaps, and inadequate) trend in reporting these results. The focus of this review is fMRI as the majority of published DCM studies utilized fMRI and the interpretation of the self-connectivity findings may vary across imaging methodologies. About 25% of articles published between 2007 and 2019 made any mention of self-connectivity findings. We recommend increased attention toward the inclusion and interpretation of self-connectivity findings in DCM analyses in the neuropsychiatric literature, particularly in forthcoming effective connectivity studies of substance use disorders.
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Affiliation(s)
- Andrew D Snyder
- Institute for Drug and Alcohol Studies, Virginia Commonwealth University School of Medicine, Richmond, VA, United States.,Department of Psychiatry, Virginia Commonwealth University School of Medicine, Richmond, VA, United States
| | - Liangsuo Ma
- Institute for Drug and Alcohol Studies, Virginia Commonwealth University School of Medicine, Richmond, VA, United States.,Department of Radiology, Virginia Commonwealth University School of Medicine, Richmond, VA, United States
| | - Joel L Steinberg
- Institute for Drug and Alcohol Studies, Virginia Commonwealth University School of Medicine, Richmond, VA, United States.,Department of Psychiatry, Virginia Commonwealth University School of Medicine, Richmond, VA, United States
| | - Kyle Woisard
- Institute for Drug and Alcohol Studies, Virginia Commonwealth University School of Medicine, Richmond, VA, United States.,Virginia Commonwealth University School of Medicine, Richmond, VA, United States
| | - Frederick G Moeller
- Institute for Drug and Alcohol Studies, Virginia Commonwealth University School of Medicine, Richmond, VA, United States.,Department of Psychiatry, Virginia Commonwealth University School of Medicine, Richmond, VA, United States.,Department of Pharmacology and Toxicology, Virginia Commonwealth University School of Medicine, Richmond, VA, United States.,Department of Neurology, Virginia Commonwealth University School of Medicine, Richmond, VA, United States
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16
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Chen YL, Tu PC, Huang TH, Bai YM, Su TP, Chen MH, Wu YT. Identifying subtypes of bipolar disorder based on clinical and neurobiological characteristics. Sci Rep 2021; 11:17082. [PMID: 34429498 PMCID: PMC8385023 DOI: 10.1038/s41598-021-96645-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2021] [Accepted: 08/13/2021] [Indexed: 02/06/2023] Open
Abstract
The ability to classify patients with bipolar disorder (BD) is restricted by their heterogeneity, which limits the understanding of their neuropathology. Therefore, we aimed to investigate clinically discernible and neurobiologically distinguishable BD subtypes. T1-weighted and resting-state functional magnetic resonance images of 112 patients with BD were obtained, and patients were segregated according to diagnostic subtype (i.e., types I and II) and clinical patterns, including the number of episodes and hospitalizations and history of suicide and psychosis. For each clinical pattern, fewer and more occurrences subgroups and types I and II were classified through nested cross-validation for robust performance, with minimum redundancy and maximum relevance, in feature selection. To assess the proportion of variance in cognitive performance explained by the neurobiological markers, multiple linear regression between verbal memory and the selected features was conducted. Satisfactory performance (mean accuracy, 73.60%) in classifying patients with a high or low number of episodes was attained through functional connectivity, mostly from default-mode and motor networks. Moreover, these neurobiological markers explained 62% of the variance in verbal memory. The number of episodes is a potentially critical aspect of the neuropathology of BD. Neurobiological markers can help identify BD neuroprogression.
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Affiliation(s)
- Yen-Ling Chen
- Institute of Biophotonics, National Yang Ming Chiao Tung University, No. 155, Sec. 2, Linong St., Taipei, 112, Taiwan.,Brain Research Center, National Yang Ming Chiao Tung University, Taipei, 112, Taiwan
| | - Pei-Chi Tu
- Department of Medical Research and Education, Taipei Veterans General Hospital, Taipei, 112, Taiwan.,Department of Psychiatry, Taipei Veterans General Hospital, Taipei, 112, Taiwan.,Division of Psychiatry, Faculty of Medicine, National Yang Ming Chiao Tung University, Taipei, 112, Taiwan.,Institute of Philosophy of Mind and Cognition, National Yang Ming Chiao Tung University, Taipei, 112, Taiwan
| | - Tzu-Hsuan Huang
- Institute of Biophotonics, National Yang Ming Chiao Tung University, No. 155, Sec. 2, Linong St., Taipei, 112, Taiwan.,Brain Research Center, National Yang Ming Chiao Tung University, Taipei, 112, Taiwan
| | - Ya-Mei Bai
- Department of Psychiatry, Taipei Veterans General Hospital, Taipei, 112, Taiwan.,Division of Psychiatry, Faculty of Medicine, National Yang Ming Chiao Tung University, Taipei, 112, Taiwan
| | - Tung-Ping Su
- Department of Psychiatry, Taipei Veterans General Hospital, Taipei, 112, Taiwan.,Division of Psychiatry, Faculty of Medicine, National Yang Ming Chiao Tung University, Taipei, 112, Taiwan.,Department of Psychiatry, Cheng-Hsin General Hospital, Taipei, 112, Taiwan
| | - Mu-Hong Chen
- Department of Psychiatry, Taipei Veterans General Hospital, Taipei, 112, Taiwan.,Division of Psychiatry, Faculty of Medicine, National Yang Ming Chiao Tung University, Taipei, 112, Taiwan
| | - Yu-Te Wu
- Institute of Biophotonics, National Yang Ming Chiao Tung University, No. 155, Sec. 2, Linong St., Taipei, 112, Taiwan. .,Brain Research Center, National Yang Ming Chiao Tung University, Taipei, 112, Taiwan.
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17
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Kowalczyk OS, Pauls AM, Fusté M, Williams SCR, Hazelgrove K, Vecchio C, Seneviratne G, Pariante CM, Dazzan P, Mehta MA. Neurocognitive correlates of working memory and emotional processing in postpartum psychosis: an fMRI study. Psychol Med 2021; 51:1724-1732. [PMID: 32174288 DOI: 10.1017/s0033291720000471] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Abstract
BACKGROUND Postpartum psychosis (PP) is a severe postpartum disorder. While working memory and emotional processing-related brain function are consistently impaired in psychoses unrelated to the puerperium, no studies have investigated them in PP. METHODS Twenty-four women at risk of developing PP (11 developed an episode - PE; 13 remained well - NPE) and 20 healthy postpartum women completed two functional magnetic resonance imaging tasks within a year of delivery: working memory (n-back) and emotional face recognition (fearful faces). We compared women at-risk of PP to controls, as well as NPE, PE, and controls to test for potential effects of a PP episode occurrence. RESULTS Women at-risk of PP and PE showed hyperactivation of lateral visual areas, precuneus, and posterior cingulate during the n-back task. The at-risk group as a whole, as well as the PE and NPE groups, showed hyperconnectivity of the right dorsolateral prefrontal cortex (DLPFC) with various parieto-occipito-temporo-cerebellar regions compared to controls during several n-back conditions. Increases in connectivity between the right DLPFC and ipsilateral middle temporal gyrus were observed in the PE group compared to NPE during 2-back. During the fearful faces task, at-risk women as a group showed hyperactivation of fronto-cingulo-subcortical regions, and hypoconnectivity between the left amygdala and ipsilateral occipito-parietal regions compared to controls. No significant performance differences were observed. CONCLUSIONS These results present preliminary evidence of a differential nature of functional brain abnormalities in PP compared to the typically observed reduced connectivity with the DLPFC in psychoses unrelated to puerperium, such as bipolar disorder.
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Affiliation(s)
- Olivia S Kowalczyk
- Department of Neuroimaging, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Astrid M Pauls
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Montserrat Fusté
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
- CIBERSAM, Centro de Investigación Biomédica en Red de Salud Mental, Madrid, Spain
| | - Steven C R Williams
- Department of Neuroimaging, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
- National Institute for Health Research (NIHR) Mental Health Biomedical Research Centre at South London and Maudsley NHS Foundation Trust and King's College London, London, UK
| | - Katie Hazelgrove
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
- Section of Stress, Psychiatry and Immunology and Perinatal Psychiatry, Department of Psychological Medicine, Institute of Psychiatry, Psychology & Neurosciences, King's College London, London, UK
| | - Costanza Vecchio
- Section of Stress, Psychiatry and Immunology and Perinatal Psychiatry, Department of Psychological Medicine, Institute of Psychiatry, Psychology & Neurosciences, King's College London, London, UK
| | - Gertrude Seneviratne
- Section of Stress, Psychiatry and Immunology and Perinatal Psychiatry, Department of Psychological Medicine, Institute of Psychiatry, Psychology & Neurosciences, King's College London, London, UK
| | - Carmine M Pariante
- National Institute for Health Research (NIHR) Mental Health Biomedical Research Centre at South London and Maudsley NHS Foundation Trust and King's College London, London, UK
- Section of Stress, Psychiatry and Immunology and Perinatal Psychiatry, Department of Psychological Medicine, Institute of Psychiatry, Psychology & Neurosciences, King's College London, London, UK
| | - Paola Dazzan
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Mitul A Mehta
- Department of Neuroimaging, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
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18
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Dai C, Zhang Y, Cai X, Peng Z, Zhang L, Shao Y, Wang C. Effects of Sleep Deprivation on Working Memory: Change in Functional Connectivity Between the Dorsal Attention, Default Mode, and Fronto-Parietal Networks. Front Hum Neurosci 2020; 14:360. [PMID: 33192381 PMCID: PMC7588803 DOI: 10.3389/fnhum.2020.00360] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2020] [Accepted: 08/07/2020] [Indexed: 01/08/2023] Open
Abstract
Sleep deprivation (SD) is very common in modern society and has a profound effect on cognitive function, in particular on working memory (WM). This type of memory is required for completion of many tasks and is adversely affected by SD. However, the cognitive neural mechanism by which SD affects WM, remains unclear. In this study, we investigated the changes in the brain network involved in WM after SD. Twenty-two healthy subjects underwent functional magnetic resonance imaging scan while in a state of resting wakefulness and again after 36 h of total SD and performed a WM task before each scanning session. Nineteen main nodes of the default mode network (DMN), dorsal attention network (DAN), fronto-parietal network (FPN), salience network (SN), and other networks were selected for functional analysis of brain network connections. Functional connectivity measures were computed between seed areas for region of interest (ROI)-to-ROI analysis and to identify patterns of ROI-to-ROI connectivity. The relationship between the significant changes in functional connectivity in the brain network and WM performance were then examined by Pearson's correlation analysis. WM performance declined significantly after SD. Compared with the awake state, the functional connectivity between DAN and DMN significantly increased after SD while that between FPN and DMN significantly decreased. Correlation analysis showed that the enhanced functional connectivity between DAN and DMN was negatively correlated with the decline in WM performance and that the decline in functional connectivity between FPN and DMN was positively correlated with decreased WM performance. These findings suggested that SD may affect WM by altering the functional connectivity among DMN, DAN, and FPN.
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Affiliation(s)
- Cimin Dai
- School of Psychology, Beijing Sport University, Beijing, China
| | - Ying Zhang
- The Eighth Medical Center of the General Hospital of People’s Liberation Army, Beijing, China
| | - Xiaoping Cai
- Department of Cadraword 3 Division, General Hospital of People’s Liberation Army, Beijing, China
| | - Ziyi Peng
- School of Psychology, Beijing Sport University, Beijing, China
| | - Liwei Zhang
- Institute of Psychology, Chinese Academy of Sciences, Beijing, China
| | - Yongcong Shao
- School of Psychology, Beijing Sport University, Beijing, China
- Suzhou Institute of Biomedical Engineering and Techology, Chinese Academy of Sciences, Suzhou, China
| | - Cuifeng Wang
- Department of Respiratory Medicine, Qingdao Huangdao People’s Hospital, Qingdao, China
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19
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Pan Y, Pu W, Chen X, Huang X, Cai Y, Tao H, Xue Z, Mackinley M, Limongi R, Liu Z, Palaniyappan L. Morphological Profiling of Schizophrenia: Cluster Analysis of MRI-Based Cortical Thickness Data. Schizophr Bull 2020; 46:623-632. [PMID: 31901940 PMCID: PMC7147597 DOI: 10.1093/schbul/sbz112] [Citation(s) in RCA: 34] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
The diagnosis of schizophrenia is thought to embrace several distinct subgroups. The manifold entities in a single clinical patient group increase the variance of biological measures, deflate the group-level estimates of causal factors, and mask the presence of treatment effects. However, reliable neurobiological boundaries to differentiate these subgroups remain elusive. Since cortical thinning is a well-established feature in schizophrenia, we investigated if individuals (patients and healthy controls) with similar patterns of regional cortical thickness form naturally occurring morphological subtypes. K-means algorithm clustering was applied to regional cortical thickness values obtained from 256 structural MRI scans (179 patients with schizophrenia and 77 healthy controls [HCs]). GAP statistics revealed three clusters with distinct regional thickness patterns. The specific patterns of cortical thinning, clinical characteristics, and cognitive function of each clustered subgroup were assessed. The three clusters based on thickness patterns comprised of a morphologically impoverished subgroup (25% patients, 1% HCs), an intermediate subgroup (47% patients, 46% HCs), and an intact subgroup (28% patients, 53% HCs). The differences of clinical features among three clusters pertained to age-of-onset, N-back performance, duration exposure to treatment, total burden of positive symptoms, and severity of delusions. Particularly, the morphologically impoverished group had deficits in N-back performance and less severe positive symptom burden. The data-driven neuroimaging approach illustrates the occurrence of morphologically separable subgroups in schizophrenia, with distinct clinical characteristics. We infer that the anatomical heterogeneity of schizophrenia arises from both pathological deviance and physiological variance. We advocate using MRI-guided stratification for clinical trials as well as case-control investigations in schizophrenia.
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Affiliation(s)
- Yunzhi Pan
- Institute of Mental Health, Second Xiangya Hospital, Central South University, Changsha, PR China,Robarts Research Institution, University of Western Ontario, London, Canada
| | - Weidan Pu
- Medical Psychological Institute, Second Xiangya Hospital, Central South University, Changsha, PR China
| | - Xudong Chen
- Institute of Mental Health, Second Xiangya Hospital, Central South University, Changsha, PR China
| | - Xiaojun Huang
- Institute of Mental Health, Second Xiangya Hospital, Central South University, Changsha, PR China
| | - Yan Cai
- Institute of Mental Health, Second Xiangya Hospital, Central South University, Changsha, PR China,The Second People’s Hospital of Hunan Province, Changsha, Hunan, PR China
| | - Haojuan Tao
- Institute of Mental Health, Second Xiangya Hospital, Central South University, Changsha, PR China
| | - Zhiming Xue
- Institute of Mental Health, Second Xiangya Hospital, Central South University, Changsha, PR China
| | - Michael Mackinley
- Department of Psychiatry, University of Western Ontario, London, Ontario, Canada
| | - Roberto Limongi
- Department of Psychiatry, University of Western Ontario, London, Ontario, Canada,Pontificia Universidad Católica de Valparaíso, Región de Valparaíso, Chile
| | - Zhening Liu
- Institute of Mental Health, Second Xiangya Hospital, Central South University, Changsha, PR China,To whom correspondence should be addressed; Mental Health Institute, Second Xiangya Hospital of Central South University, Changsha, 410011 PR China, e-mail:
| | - Lena Palaniyappan
- Institute of Mental Health, Second Xiangya Hospital, Central South University, Changsha, PR China,Medical Psychological Institute, Second Xiangya Hospital, Central South University, Changsha, PR China,Department of Psychiatry, University of Western Ontario, London, Ontario, Canada,Lawson Health Research Institute, London, Ontario, Canada
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20
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Goikolea JM, Dima D, Landín-Romero R, Torres I, DelVecchio G, Valentí M, Amann BL, Bonnín CM, McKenna PJ, Pomarol-Clotet E, Frangou S, Vieta E. Multimodal Brain Changes in First-Episode Mania: A Voxel-Based Morphometry, Functional Magnetic Resonance Imaging, and Connectivity Study. Schizophr Bull 2019; 45:464-473. [PMID: 29672741 PMCID: PMC6403052 DOI: 10.1093/schbul/sby047] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
BACKGROUND Brain structural and functional changes in bipolar disorder (BD) are well-established findings, but it is uncertain whether these changes are already present in first episode mania (FEM). METHODS We compared 31 FEM subjects, with 31 healthy individuals matched for age, sex, and premorbid IQ. Whole-brain voxel-wise morphometry, functional magnetic resonance imaging during the n-back task, and a functional connectivity analysis were performed. RESULTS There were no volumetric differences between the 2 groups. During the 2-back task, FEM patients did not perform differently from controls and activated similar regions, but they showed less deactivation in the ventromedial prefrontal cortex (vmPFC), the anterior hub of the default mode network (DMN). They showed preserved functional connectivity between the vmPFC and other regions of the DMN, but increased connectivity with the superior frontal gyrus. CONCLUSIONS The absence of volumetric changes in FEM patients suggests that these changes could be related to progression of the illness. On the other hand, the failure of deactivation of the anterior hub of the DMN is present from the onset of the illness and may represent a core pathophysiological feature of BD.
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Affiliation(s)
- José M Goikolea
- Barcelona Bipolar Disorders Unit, Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain
| | - Danai Dima
- Department of Psychology, School of Arts and Social Sciences, City University London, London, UK,Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, UK
| | - Ramón Landín-Romero
- FIDMAG Germanes Hospitalàries Research Foundation, Benito Menni Complex Assistencial en Salut Mental, CIBERSAM, Barcelona, Catalonia, Spain
| | - Imma Torres
- Barcelona Bipolar Disorders Unit, Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain
| | | | - Marc Valentí
- Barcelona Bipolar Disorders Unit, Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain
| | - Benedikt L Amann
- FIDMAG Germanes Hospitalàries Research Foundation, Benito Menni Complex Assistencial en Salut Mental, CIBERSAM, Barcelona, Catalonia, Spain
| | - Caterina Mar Bonnín
- Barcelona Bipolar Disorders Unit, Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain
| | - Peter J McKenna
- FIDMAG Germanes Hospitalàries Research Foundation, Benito Menni Complex Assistencial en Salut Mental, CIBERSAM, Barcelona, Catalonia, Spain
| | - Edith Pomarol-Clotet
- FIDMAG Germanes Hospitalàries Research Foundation, Benito Menni Complex Assistencial en Salut Mental, CIBERSAM, Barcelona, Catalonia, Spain
| | - Sophia Frangou
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Eduard Vieta
- Barcelona Bipolar Disorders Unit, Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain,To whom correspondence should be addressed; Bipolar Disorder Program, Clinical Institute of Neuroscience, Hospital Clinic of Barcelona, Villarroel, 170, 08036 Barcelona, Spain; tel: +34-93-227-5401; fax: +34-93-227-9228, e-mail:
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21
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Abstract
Neuropsychiatric illnesses including mood disorders are accompanied by cognitive impairment, which impairs work capacity and quality of life. However, there is a lack of treatment options that would lead to solid and lasting improvement of cognition. This is partially due to the absence of valid and reliable neurocircuitry-based biomarkers for pro-cognitive effects. This systematic review therefore examined the most consistent neural underpinnings of cognitive impairment and cognitive improvement in unipolar and bipolar disorders. We identified 100 studies of the neuronal underpinnings of working memory and executive skills, learning and memory, attention, and implicit learning and 9 studies of the neuronal basis for cognitive improvements. Impairments across several cognitive domains were consistently accompanied by abnormal activity in dorsal prefrontal (PFC) cognitive control regions-with the direction of this activity depending on patients' performance levels-and failure to suppress default mode network (DMN) activity. Candidate cognition treatments seemed to enhance task-related dorsal PFC and temporo-parietal activity when performance increases were observed, and to reduce their activity when performance levels were unchanged. These treatments also attenuated DMN hyper-activity. In contrast, nonspecific cognitive improvement following symptom reduction was typically accompanied by decreased limbic reactivity and reversal of pre-treatment fronto-parietal hyper-activity. Together, the findings highlight some common neural correlates of cognitive impairments and cognitive improvements. Based on this evidence, studies are warranted to examine the reliability and predictive validity of target engagement in the identified neurocircuitries as a biomarker model of pro-cognitive effects.
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22
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Gong J, Chen G, Jia Y, Zhong S, Zhao L, Luo X, Qiu S, Lai S, Qi Z, Huang L, Wang Y. Disrupted functional connectivity within the default mode network and salience network in unmedicated bipolar II disorder. Prog Neuropsychopharmacol Biol Psychiatry 2019; 88:11-18. [PMID: 29958116 DOI: 10.1016/j.pnpbp.2018.06.012] [Citation(s) in RCA: 48] [Impact Index Per Article: 9.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/27/2018] [Revised: 06/19/2018] [Accepted: 06/23/2018] [Indexed: 01/10/2023]
Abstract
BACKGROUND Recent studies demonstrate that functional disruption in resting-state networks contributes to cognitive and affective symptoms of bipolar disorder (BD), however, the functional connectivity (FC) pattern underlying BD II depression within the default mode network (DMN), salience network (SN), and frontoparietal network (FPN) is still not well understood. The primary aim of this study was to explore whether the pathophysiology of BD II derived from the pattern of FC within the DMN, SN, and FPN by using seed-based FC approach of resting-state functional magnetic resonance imaging (rs-fMRI). METHODS Ninety-six BD II patients and 100 HCs underwent rs-fMRI and three-dimensional structural data acquisition. All patients were either drug naive or unmedicated for at least 6 months. The following four regions of interest were used to conduct seed-based FC: the left posterior cingulate cortex (PCC) seed to probe the DMN, the left subgenual anterior cingulate cortex (sgACC) and amygdala seeds to probe the SN, the left dorsal lateral prefrontal cortex (dlPFC) seed to probe the FPN. RESULTS Compared with HCs, patients with BD II demonstrated hypoconnectivity of the left PCC to the bilateral medial prefrontal cortex (mPFC) and bilateral precuneus/PCC, and of the left sgACC to the right inferior temporal gyrus (ITG); nevertheless, the left amygdala and dlPFC had no within-network hypo- or hyperconnectivity to any other SN and FPN regions. CONCLUSION Our findings suggest that disrupted FC is located in the DMN and SN, especially in the PCC-mPFC and precuneus/PCC, and sgACC-ITG connectivity in BD II patients.
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Affiliation(s)
- JiaYing Gong
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou 510630, China; Department of Radiology, Six Affiliated Hospital of Sun Yat-sen University, Guangzhou 510655, China
| | - Guanmao Chen
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou 510630, China
| | - Yanbin Jia
- Department of Psychiatry, First Affiliated Hospital of Jinan University, Guangzhou 510630, China
| | - Shuming Zhong
- Department of Psychiatry, First Affiliated Hospital of Jinan University, Guangzhou 510630, China
| | - Lianping Zhao
- Department of Radiology, Gansu Provincial Hospital, Gansu 730000, China
| | - Xiaomei Luo
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou 510630, China
| | - Shaojuan Qiu
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou 510630, China
| | - Shunkai Lai
- Department of Psychiatry, First Affiliated Hospital of Jinan University, Guangzhou 510630, China
| | - Zhangzhang Qi
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou 510630, China
| | - Li Huang
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou 510630, China.
| | - Ying Wang
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou 510630, China.
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23
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Vai B, Bertocchi C, Benedetti F. Cortico-limbic connectivity as a possible biomarker for bipolar disorder: where are we now? Expert Rev Neurother 2019; 19:159-172. [PMID: 30599797 DOI: 10.1080/14737175.2019.1562338] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
INTRODUCTION The fronto-limbic network has been suggested as a key circuitry in the pathophysiology and maintenance of bipolar disorder. In the past decade, a disrupted connectivity within prefrontal-limbic structures was identified as a promising candidate biomarker for the disorder. Areas Covered: In this review, the authors examine current literature in terms of the structural, functional and effective connectivity in bipolar disorder, integrating recent findings of imaging genetics and machine learning. This paper profiles the current knowledge and identifies future perspectives to provide reliable and usable neuroimaging biomarkers for bipolar psychopathology in clinical practice. Expert Opinion: The replication and the translation of acquired knowledge into useful and usable tools represents one of the current greatest challenges in biomarker research applied to psychiatry.
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Affiliation(s)
- Benedetta Vai
- a Psychiatry & Clinical Psychobiology , Division of Neuroscience, Scientific Institute Ospedale San Raffaele , Milano , Italy.,b University Vita-Salute San Raffaele , Milano , Italy
| | - Carlotta Bertocchi
- a Psychiatry & Clinical Psychobiology , Division of Neuroscience, Scientific Institute Ospedale San Raffaele , Milano , Italy
| | - Francesco Benedetti
- a Psychiatry & Clinical Psychobiology , Division of Neuroscience, Scientific Institute Ospedale San Raffaele , Milano , Italy.,b University Vita-Salute San Raffaele , Milano , Italy
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24
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Wu Q, Qi C, Long J, Liao Y, Wang X, Xie A, Liu J, Hao W, Tang Y, Yang B, Liu T, Tang J. Metabolites Alterations in the Medial Prefrontal Cortex of Methamphetamine Users in Abstinence: A 1H MRS Study. Front Psychiatry 2018; 9:478. [PMID: 30420814 PMCID: PMC6215956 DOI: 10.3389/fpsyt.2018.00478] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/12/2018] [Accepted: 09/12/2018] [Indexed: 11/13/2022] Open
Abstract
Background: The medial prefrontal cortex (mPFC) contains various neurotransmitter systems and plays an important role in drug use. Broad body of literature on how methamphetamine (MA) affects the structure and metabolism in the animal's mPFC is emerging, while the effects on metabolites of mPFC among human is still unclear. In this study, proton magnetic resonance spectroscopy (1H MRS) was used to measure metabolites of mPFC in methamphetamine dependent subjects. Methods: Sixty-one subjects with a history of MA dependence (fulfiled the Diagnostic and Statistical Manual of Mental Disorders, fourth edition criteria) and 65 drug-naïve control subjects (age19-45) completed 1H MRS scans using 3.0T Siemens MRI scanner. Single voxel spectra were acquired from the mPFC bilaterally using a point resolved spectroscopy sequence (PRESS). The 1H MRS data were automatically fit with linear combination model for quantification of metabolite levels of n-acetyl-aspartate (NAA), myo-inositol (mI), glycerophosphocholine plus phosphocholine(GPC+PC), phosphocreatine plus creatine (PCr+Cr), and glutamate (Glu). Metabolite levels were reported as ratios to PCr+Cr. Results: The MA group showed a significant reduction in NAA/PCr+Cr ratio and elevation in Glu/PCr+Cr ratio and mI/PCr+Cr ratio, compared with healthy control. No significant correlation was found between metabolite ratios and MA use variables. Conclusions: MA use is associated with a significant increased Glu/PCr+Cr ratio, mI/PCr+Cr ratio and reduced NAA/PCr+Cr ratio in the mPFC of MA dependence subjects. These findings suggest that Glu may play a key role in MA induced neurotoxicity.
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Affiliation(s)
- Qiuxia Wu
- Department of Psychiatry, The Second Xiangya Hospital, Central South University, Changsha, China
- Mental Health Institute, The Second Xiangya Hospital, Central South University, Changsha, China
- Chinese National Clinical Research Center on Mental Disorders, Second Xiangya Hospital, Central South University, Changsha, China
- National Clinical Research Center on Mental Disorders, Changsha, China
- National Technology Institute on Mental Disorders, Changsha, China
- Hunan Key Laboratory of Psychiatry and Mental Health, Changsha, China
- Department of Psychological Sciences, Texas Tech University, Lubbock, TX, United States
| | - Chang Qi
- Department of Psychiatry, The Second Xiangya Hospital, Central South University, Changsha, China
- Mental Health Institute, The Second Xiangya Hospital, Central South University, Changsha, China
- Chinese National Clinical Research Center on Mental Disorders, Second Xiangya Hospital, Central South University, Changsha, China
- National Clinical Research Center on Mental Disorders, Changsha, China
- National Technology Institute on Mental Disorders, Changsha, China
- Hunan Key Laboratory of Psychiatry and Mental Health, Changsha, China
| | - Jiang Long
- Department of Psychiatry, The Second Xiangya Hospital, Central South University, Changsha, China
- Mental Health Institute, The Second Xiangya Hospital, Central South University, Changsha, China
- Chinese National Clinical Research Center on Mental Disorders, Second Xiangya Hospital, Central South University, Changsha, China
- National Clinical Research Center on Mental Disorders, Changsha, China
- National Technology Institute on Mental Disorders, Changsha, China
- Hunan Key Laboratory of Psychiatry and Mental Health, Changsha, China
| | - Yanhui Liao
- Department of Psychiatry, The Second Xiangya Hospital, Central South University, Changsha, China
- Mental Health Institute, The Second Xiangya Hospital, Central South University, Changsha, China
- Chinese National Clinical Research Center on Mental Disorders, Second Xiangya Hospital, Central South University, Changsha, China
- National Clinical Research Center on Mental Disorders, Changsha, China
- National Technology Institute on Mental Disorders, Changsha, China
- Hunan Key Laboratory of Psychiatry and Mental Health, Changsha, China
| | - Xuyi Wang
- Department of Psychiatry, The Second Xiangya Hospital, Central South University, Changsha, China
- Mental Health Institute, The Second Xiangya Hospital, Central South University, Changsha, China
- Chinese National Clinical Research Center on Mental Disorders, Second Xiangya Hospital, Central South University, Changsha, China
- National Clinical Research Center on Mental Disorders, Changsha, China
- National Technology Institute on Mental Disorders, Changsha, China
- Hunan Key Laboratory of Psychiatry and Mental Health, Changsha, China
| | - An Xie
- Department of Radiology, Hunan Provincial People's Hospital, Changsha, China
| | - Jianbin Liu
- Department of Radiology, Hunan Provincial People's Hospital, Changsha, China
| | - Wei Hao
- Department of Psychiatry, The Second Xiangya Hospital, Central South University, Changsha, China
- Mental Health Institute, The Second Xiangya Hospital, Central South University, Changsha, China
- Chinese National Clinical Research Center on Mental Disorders, Second Xiangya Hospital, Central South University, Changsha, China
- National Clinical Research Center on Mental Disorders, Changsha, China
- National Technology Institute on Mental Disorders, Changsha, China
- Hunan Key Laboratory of Psychiatry and Mental Health, Changsha, China
| | - Yiyuan Tang
- Department of Psychological Sciences, Texas Tech University, Lubbock, TX, United States
| | - Baozhu Yang
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, United States
| | - Tieqiao Liu
- Department of Psychiatry, The Second Xiangya Hospital, Central South University, Changsha, China
- Mental Health Institute, The Second Xiangya Hospital, Central South University, Changsha, China
- Chinese National Clinical Research Center on Mental Disorders, Second Xiangya Hospital, Central South University, Changsha, China
- National Clinical Research Center on Mental Disorders, Changsha, China
- National Technology Institute on Mental Disorders, Changsha, China
- Hunan Key Laboratory of Psychiatry and Mental Health, Changsha, China
| | - Jinsong Tang
- Department of Psychiatry, The Second Xiangya Hospital, Central South University, Changsha, China
- Mental Health Institute, The Second Xiangya Hospital, Central South University, Changsha, China
- Chinese National Clinical Research Center on Mental Disorders, Second Xiangya Hospital, Central South University, Changsha, China
- National Clinical Research Center on Mental Disorders, Changsha, China
- National Technology Institute on Mental Disorders, Changsha, China
- Hunan Key Laboratory of Psychiatry and Mental Health, Changsha, China
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25
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Rikandi E, Mäntylä T, Lindgren M, Kieseppä T, Suvisaari J, Raij TT. Connectivity of the precuneus-posterior cingulate cortex with the anterior cingulate cortex-medial prefrontal cortex differs consistently between control subjects and first-episode psychosis patients during a movie stimulus. Schizophr Res 2018; 199:235-242. [PMID: 29588124 DOI: 10.1016/j.schres.2018.03.018] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/06/2017] [Revised: 01/10/2018] [Accepted: 03/11/2018] [Indexed: 12/16/2022]
Abstract
BACKGROUND Functional connectivity is altered in psychotic disorders. Multiple findings concentrate on the default mode network, anchored on the precuneus-posterior cingulate cortex (PC-PCC). However, the nature of the alterations varies between studies and connectivity alterations have not been studied during an ecologically valid natural stimulus. In the present study, we investigated the functional and structural connectivity of a PC-PCC region, where functioning differentiated first-episode psychosis patients from control subjects during free viewing of a movie in our earlier study. METHODS 14 first-episode psychosis patients and 12 control subjects were imaged with GE 3T, and 29 patients and 19 control subjects were imaged with a Siemens Skyra 3T scanner while watching scenes from the movie Alice in Wonderland. Group differences in functional connectivity were analysed for both scanners separately and results were compared to identify any overlap. Diffusion tensor measures of 26 patients and 19 control subjects were compared for the related white matter tracts, identified by deterministic tractography. RESULTS Functional connectivity was increased in patients across scanners between the midline regions of the PC-PCC and the anterior cingulate cortex-medial prefrontal cortex (ACC-mPFC). We found no group differences in any of the diffusion tensor imaging measures. CONCLUSIONS Already in the early stages of psychosis functional connectivity between the midline structures of the PC-PCC and the ACC-mPFC is consistently increased during naturalistic stimulus.
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Affiliation(s)
- Eva Rikandi
- Mental Health Unit, National Institute for Health and Welfare, Helsinki, Finland; Department of Neuroscience and Biomedical Engineering, and Advanced Magnetic Imaging Centre, Aalto NeuroImaging, Aalto University School of Science, Espoo, Finland; Department of Psychology and Logopedics, Faculty of Medicine, Helsinki University, Helsinki, Finland.
| | - Teemu Mäntylä
- Mental Health Unit, National Institute for Health and Welfare, Helsinki, Finland; Department of Neuroscience and Biomedical Engineering, and Advanced Magnetic Imaging Centre, Aalto NeuroImaging, Aalto University School of Science, Espoo, Finland; Department of Psychology and Logopedics, Faculty of Medicine, Helsinki University, Helsinki, Finland
| | - Maija Lindgren
- Mental Health Unit, National Institute for Health and Welfare, Helsinki, Finland
| | - Tuula Kieseppä
- Department of Psychiatry, Helsinki University and Helsinki University Hospital, Helsinki, Finland
| | - Jaana Suvisaari
- Mental Health Unit, National Institute for Health and Welfare, Helsinki, Finland
| | - Tuukka T Raij
- Department of Neuroscience and Biomedical Engineering, and Advanced Magnetic Imaging Centre, Aalto NeuroImaging, Aalto University School of Science, Espoo, Finland; Department of Psychiatry, Helsinki University and Helsinki University Hospital, Helsinki, Finland
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26
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Li Q, Wang L, Li XY, Chen X, Lu B, Cheng L, Yan CG, Xu Y. Total Salvianolic Acid Balances Brain Functional Network Topology in Rat Hippocampi Overexpressing miR-30e. Front Neurosci 2018; 12:448. [PMID: 30026682 PMCID: PMC6041398 DOI: 10.3389/fnins.2018.00448] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2018] [Accepted: 06/12/2018] [Indexed: 01/20/2023] Open
Abstract
We investigated the therapeutic effects and underlying brain functional network topology mechanisms of total salvianolic acid (TSA) treatment for memory dysfunction by using miR-30e overexpression-induced memory deficit in rat hippocampi. Model rats were developed by lentivirus vectors carrying miR-30e into bilateral hippocampus CA1 region through stereo-surgery. Two weeks after surgery, TSA (20 or 10 mg/mL/kg) or saline were administrated for 14 consecutive days. Memory function was assessed by behavioral tests (Y maze and Morris water maze [MWM]); resting-state functional MRI (RS-fMRI); and molecular alterations of BCL-2, UBC9, and Caspase-3 in the hippocampus CA1 region, as detected by immunohistochemistry. Compared to controls, model rats exhibited significantly impaired working and long-term memory in the Y maze and MWM tests (p < 0.01). The brain functional network topology analyzed based on RS-fMRI data demonstrated that miR-30e disturbed the global integration and segregation balance of the brain (p < 0.01), and reduced edge strength between CA1 and the posterior cingulate, temporal lobe, and thalamus (p < 0.05, false discovery rate corrected). At the molecular level, BCL-2 and UBC9 were downregulated, while Caspase-3 was upregulated (p < 0.01). After TSA (20 mg/mL/kg) treatment, the biomarkers for behavioral performance, global integration and segregation, edge strength, and expression levels of BCL-2, UBC9, and Caspase3 returned to normal levels. The correlation analyses of these results showed that global brain functional network topologic parameters can be intermediate biomarkers correlated with both behavioral changes and molecular alterations. This indicated that the effects of TSA were achieved by inhibiting apoptosis of CA1 neurons to improve global functional network topology.
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Affiliation(s)
- Qi Li
- Drug Clinical Trial Institution, Taiyuan Center Hospital of Shanxi Medical University, Taiyuan, China
| | - Liang Wang
- Department of Psychiatry, First Hospital/First Clinical Medical College of Shanxi Medical University, Taiyuan, China.,Shanxi Province Mental Health Center/Taiyuan Psychiatric Hospital, Taiyuan, China
| | - Xin-Yi Li
- Department of Neurology, Shanxi DaYi Hospital, Taiyuan, China
| | - Xiao Chen
- Institute of Psychology, Chinese Academy of Sciences, Beijing, China
| | - Bin Lu
- Institute of Psychology, Chinese Academy of Sciences, Beijing, China
| | - Long Cheng
- Department of Psychiatry, First Hospital/First Clinical Medical College of Shanxi Medical University, Taiyuan, China
| | - Chao-Gan Yan
- Institute of Psychology, Chinese Academy of Sciences, Beijing, China
| | - Yong Xu
- Department of Psychiatry, First Hospital/First Clinical Medical College of Shanxi Medical University, Taiyuan, China.,MDT Center for Cognitive Impairment and Sleep Disorders, First Hospital of Shanxi Medical University, Taiyuan, China.,National Key Disciplines, Key Laboratory for Cellular Physiology of Ministry of Education, Department of Neurobiology, Shanxi Medical University, Taiyuan, China
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27
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Zhang Z, Yan T, Wang Y, Zhang Q, Zhao W, Chen X, Zhai J, Chen M, Du B, Deng X, Ji F, Xiang Y, Wu H, Song J, Dong Q, Chen C, Li J. Polymorphism in schizophrenia risk gene MIR137 is associated with the posterior cingulate Cortex's activation and functional and structural connectivity in healthy controls. NEUROIMAGE-CLINICAL 2018; 19:160-166. [PMID: 30035013 PMCID: PMC6051762 DOI: 10.1016/j.nicl.2018.03.039] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/04/2018] [Revised: 03/16/2018] [Accepted: 03/31/2018] [Indexed: 12/02/2022]
Abstract
MIR137 gene has been repeatedly reported as a schizophrenia risk gene in genome-wide association studies (GWAS). A polymorphism (rs1625579) at the MIR137 gene has been associated with both neural activation and behavioral performance during a working memory task. This study examined MIR137's associations with task-related (N-back working memory) fMRI, resting state fMRI, and diffusion tensor images (DTI) data in 177 healthy adults. We found less deactivation of the PCC in risk allele homozygotes (TT) as compared to the GT heterozygotes (cluster size = 630 voxels, cluster level PFWE < 0.001) during the N-back task, which replicated previous findings. Using the identified cluster within the PCC as the seed, we further found decreased functional connectivity between the PCC and the anterior cingulate cortex and its adjacent medial prefrontal cortex (ACC/MPFC) in risk allele homozygotes during both resting state (cluster size = 427 voxels, cluster level PFWE = 0.001) and the N-back task (cluster size = 73 voxels, cluster level PFWE = 0.05). Finally, an analysis of our DTI data showed decreased white matter integrity of the posterior cingulum in risk allele homozygotes (cluster size = 214 voxels, cluster level PFWE = 0.03). Taken together, rs1625579 seems to play an important role in both functional and structural connectivity between the PCC and the ACC/MPFC, which may serve as the brain mechanisms for the link between rs1625579 and schizophrenia. This study replicated the association between the risk allele of rs1625579 and altered activations at the PCC. This study found decreased functional connectivity between the PCC and the ACC/MPFC in the risk allele homozygotes. This study found decreased FA value in the posterior cingulum in the risk allele homozygotes.
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Affiliation(s)
- Zhifang Zhang
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, PR China; Center for Collaboration and Innovation in Brain and Learning Sciences, Beijing Normal University, PR China
| | - Tongjun Yan
- The PLA 102nd Hospital and Mental Health Center of Military, Changzhou 213003, PR China
| | - Yanyan Wang
- The PLA 102nd Hospital and Mental Health Center of Military, Changzhou 213003, PR China
| | - Qiumei Zhang
- School of Mental Health, Jining Medical University, 45# Jianshe South Road, Jining 272013, Shandong Province, PR China; State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, PR China; Center for Collaboration and Innovation in Brain and Learning Sciences, Beijing Normal University, PR China
| | - Wan Zhao
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, PR China; Center for Collaboration and Innovation in Brain and Learning Sciences, Beijing Normal University, PR China
| | - Xiongying Chen
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, PR China; Center for Collaboration and Innovation in Brain and Learning Sciences, Beijing Normal University, PR China
| | - Jinguo Zhai
- School of Mental Health, Jining Medical University, 45# Jianshe South Road, Jining 272013, Shandong Province, PR China
| | - Min Chen
- School of Mental Health, Jining Medical University, 45# Jianshe South Road, Jining 272013, Shandong Province, PR China
| | - Boqi Du
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, PR China; Center for Collaboration and Innovation in Brain and Learning Sciences, Beijing Normal University, PR China
| | - Xiaoxiang Deng
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, PR China; Center for Collaboration and Innovation in Brain and Learning Sciences, Beijing Normal University, PR China
| | - Feng Ji
- School of Mental Health, Jining Medical University, 45# Jianshe South Road, Jining 272013, Shandong Province, PR China
| | - Yutao Xiang
- Beijing Anding Hospital, Beijing 100088, PR China; Faculty of Health Sciences, University of Macau, Avenida da Universidade, Taipa, Macau
| | - Hongjie Wu
- Shengli Hospital of Shengli Petroleum Administration Bureau, Dongying 257022, Shandong Province, PR China
| | - Jie Song
- Shengli Hospital of Shengli Petroleum Administration Bureau, Dongying 257022, Shandong Province, PR China
| | - Qi Dong
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, PR China; Center for Collaboration and Innovation in Brain and Learning Sciences, Beijing Normal University, PR China
| | - Chuansheng Chen
- Department of Psychology and Social Behavior, University of California, Irvine, CA 92697, United States
| | - Jun Li
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, PR China; Center for Collaboration and Innovation in Brain and Learning Sciences, Beijing Normal University, PR China.
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Zhou Y, Zeidman P, Wu S, Razi A, Chen C, Yang L, Zou J, Wang G, Wang H, Friston KJ. Altered intrinsic and extrinsic connectivity in schizophrenia. NEUROIMAGE-CLINICAL 2017; 17:704-716. [PMID: 29264112 PMCID: PMC5726753 DOI: 10.1016/j.nicl.2017.12.006] [Citation(s) in RCA: 46] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/28/2017] [Revised: 09/25/2017] [Accepted: 12/03/2017] [Indexed: 01/12/2023]
Abstract
Schizophrenia is a disorder characterized by functional dysconnectivity among distributed brain regions. However, it is unclear how causal influences among large-scale brain networks are disrupted in schizophrenia. In this study, we used dynamic causal modeling (DCM) to assess the hypothesis that there is aberrant directed (effective) connectivity within and between three key large-scale brain networks (the dorsal attention network, the salience network and the default mode network) in schizophrenia during a working memory task. Functional MRI data during an n-back task from 40 patients with schizophrenia and 62 healthy controls were analyzed. Using hierarchical modeling of between-subject effects in DCM with Parametric Empirical Bayes, we found that intrinsic (within-region) and extrinsic (between-region) effective connectivity involving prefrontal regions were abnormal in schizophrenia. Specifically, in patients (i) inhibitory self-connections in prefrontal regions of the dorsal attention network were decreased across task conditions; (ii) extrinsic connectivity between regions of the default mode network was increased; specifically, from posterior cingulate cortex to the medial prefrontal cortex; (iii) between-network extrinsic connections involving the prefrontal cortex were altered; (iv) connections within networks and between networks were correlated with the severity of clinical symptoms and impaired cognition beyond working memory. In short, this study revealed the predominance of reduced synaptic efficacy of prefrontal efferents and afferents in the pathophysiology of schizophrenia. A first use of hierarchical modeling of effective connectivity to characterize large-scale networks in schizophrenia. Intrinsic and extrinsic effective connectivity involving prefrontal regions were abnormal in schizophrenia. Diagnostic connections could predict the severity of clinical symptoms and cognition in schizophrenia.
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Affiliation(s)
- Yuan Zhou
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing 100101, China; Magnetic Resonance Imaging Research Center, Institute of Psychology, Chinese Academy of Sciences, Beijing 100101,China; Department of Psychology, University of Chinese Academy of Sciences, Beijing 100049, China; The Wellcome Trust Centre for Neuroimaging, University College London, Queen Square, London WC1N 3BG, UK.
| | - Peter Zeidman
- The Wellcome Trust Centre for Neuroimaging, University College London, Queen Square, London WC1N 3BG, UK
| | - Shihao Wu
- Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan 430060, China
| | - Adeel Razi
- The Wellcome Trust Centre for Neuroimaging, University College London, Queen Square, London WC1N 3BG, UK; Department of Electronic Engineering, NED University of Engineering and Technology, Karachi, Pakistan
| | - Cheng Chen
- Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan 430060, China
| | - Liuqing Yang
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing 100101, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Jilin Zou
- Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan 430060, China
| | - Gaohua Wang
- Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan 430060, China
| | - Huiling Wang
- Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan 430060, China; Hubei Provincial Key Laboratory of Developmentally Originated Disease, Wuhan 430071, China.
| | - Karl J Friston
- The Wellcome Trust Centre for Neuroimaging, University College London, Queen Square, London WC1N 3BG, UK
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Wang J, Zhou L, Cui C, Liu Z, Lu J. Gray matter morphological anomalies in the cerebellar vermis in first-episode schizophrenia patients with cognitive deficits. BMC Psychiatry 2017; 17:374. [PMID: 29166884 PMCID: PMC5700743 DOI: 10.1186/s12888-017-1543-4] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/04/2017] [Accepted: 11/13/2017] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Cognitive deficits are a core feature of early schizophrenia. However, the pathological foundations underlying cognitive deficits are still unknown. The present study examined the association between gray matter density and cognitive deficits in first-episode schizophrenia. METHOD Structural magnetic resonance imaging of the brain was performed in 34 first-episode schizophrenia patients and 21 healthy controls. Patients were divided into two subgroups according to working memory task performance. The three groups were well matched for age, gender, and education, and the two patient groups were also further matched for diagnosis, duration of illness, and antipsychotic treatment. Voxel-based morphometric analysis was performed to estimate changes in gray matter density in first-episode schizophrenia patients with cognitive deficits. The relationships between gray matter density and clinical outcomes were explored. RESULTS Patients with cognitive deficits were found to have reduced gray matter density in the vermis and tonsil of cerebellum compared with patients without cognitive deficits and healthy controls, decreased gray matter density in left supplementary motor area, bilateral precentral gyrus compared with patients without cognitive deficits. Classifier results showed GMD in cerebellar vermis tonsil cluster could differentiate SZ-CD from controls, left supplementary motor area cluster could differentiate SZ-CD from SZ-NCD. Gray matter density values of the cerebellar vermis cluster in patients groups were positively correlated with cognitive severity. CONCLUSIONS Decreased gray matter density in the vermis and tonsil of cerebellum may underlie early psychosis and serve as a candidate biomarker for schizophrenia with cognitive deficits.
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Affiliation(s)
- Jingjuan Wang
- Department of Nuclear Medicine, Xuanwu Hospital Capital Medical University, 45 Changchun Street, Beijing, 100053 China
| | - Li Zhou
- Institute of Mental Health, Second Xiangya Hospital of Central South University, Changsha, Hunan China
| | - Chunlei Cui
- Department of Nuclear Medicine, Xuanwu Hospital Capital Medical University, 45 Changchun Street, Beijing, 100053 China
| | - Zhening Liu
- Institute of Mental Health, Second Xiangya Hospital of Central South University, Changsha, Hunan China
- State Key Laboratory of Medical Genetics, Central South University, Changsha, Hunan China
| | - Jie Lu
- Department of Nuclear Medicine, Xuanwu Hospital Capital Medical University, 45 Changchun Street, Beijing, 100053 China
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Ma J, Leung LS. Involvement of posterior cingulate cortex in ketamine-induced psychosis relevant behaviors in rats. Behav Brain Res 2017; 338:17-27. [PMID: 28993219 DOI: 10.1016/j.bbr.2017.09.051] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2017] [Revised: 09/26/2017] [Accepted: 09/28/2017] [Indexed: 12/16/2022]
Abstract
The involvement of posterior cingulate cortex (PCC) on ketamine-induced psychosis relevant behaviors was investigated in rats. Bilateral infusion of muscimol, a GABAA receptor agonist, into the PCC significantly antagonized ketamine-induced deficit in prepulse inhibition of a startle reflex (PPI), deficit in gating of hippocampal auditory evoked potentials, and behavioral hyperlocomotion in a dose dependent manner. Local infusion of ketamine directly into the PCC also induced a PPI deficit. Systemic injection of ketamine (3mg/kg,s.c.) induced an increase in power of electrographic activity in the gamma band (30-100Hz) in both the PCC and the hippocampus; peak theta (4-10Hz) power was not significantly altered, but peak theta frequency was increased by ketamine. In order to exclude volume conduction from the hippocampus to PCC, inactivation of the hippocampus was made by local infusion of muscimol into the hippocampus prior to ketamine administration. Muscimol in the hippocampus effectively blocked ketamine-induced increase of gamma power in the hippocampus but not in the PCC, suggesting independent generation of gamma waves in PCC and hippocampus. It is suggested that the PCC is part of the brain network mediating ketamine-induced psychosis related behaviors.
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Affiliation(s)
- Jingyi Ma
- Department of Physiology and Pharmacology, The University of Western Ontario, London N6A 5C1, Canada.
| | - L Stan Leung
- Department of Physiology and Pharmacology, The University of Western Ontario, London N6A 5C1, Canada; Graduate Program in Neuroscience, The University of Western Ontario, London N6A 5C1, Canada
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Zhang L, Li B, Wang H, Li L, Liao Q, Liu Y, Bao X, Liu W, Yin H, Lu H, Tan Q. Decreased middle temporal gyrus connectivity in the language network in schizophrenia patients with auditory verbal hallucinations. Neurosci Lett 2017; 653:177-182. [PMID: 28572034 DOI: 10.1016/j.neulet.2017.05.042] [Citation(s) in RCA: 31] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2016] [Revised: 05/09/2017] [Accepted: 05/21/2017] [Indexed: 01/29/2023]
Abstract
As the most common symptoms of schizophrenia, the long-term persistence of obstinate auditory verbal hallucinations (AVHs) brings about great mental pain to patients. Neuroimaging studies of schizophrenia have indicated that AVHs were associated with altered functional and structural connectivity within the language network. However, effective connectivity that could reflect directed information flow within this network and is of great importance to understand the neural mechanisms of the disorder remains largely unknown. In this study, we utilized stochastic dynamic causal modeling (DCM) to investigate directed connections within the language network in schizophrenia patients with and without AVHs. Thirty-six patients with schizophrenia (18 with AVHs and 18 without AVHs), and 37 healthy controls participated in the current resting-state functional magnetic resonance imaging (fMRI) study. The results showed that the connection from the left inferior frontal gyrus (LIFG) to left middle temporal gyrus (LMTG) was significantly decreased in patients with AVHs compared to those without AVHs. Meanwhile, the effective connection from the left inferior parietal lobule (LIPL) to LMTG was significantly decreased compared to the healthy controls. Our findings suggest aberrant pattern of causal interactions within the language network in patients with AVHs, indicating that the hypoconnectivity or disrupted connection from frontal to temporal speech areas might be critical for the pathological basis of AVHs.
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Affiliation(s)
- Linchuan Zhang
- Department of Biomedical Engineering, Fourth Military Medical University, Xi'an, Shaanxi 710032, PR China
| | - Baojuan Li
- Department of Biomedical Engineering, Fourth Military Medical University, Xi'an, Shaanxi 710032, PR China
| | - Huaning Wang
- Department of Psychiatry, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi 710032, PR China
| | - Liang Li
- Department of Biomedical Engineering, Fourth Military Medical University, Xi'an, Shaanxi 710032, PR China
| | - Qimei Liao
- Department of Biomedical Engineering, Fourth Military Medical University, Xi'an, Shaanxi 710032, PR China
| | - Yang Liu
- Department of Biomedical Engineering, Fourth Military Medical University, Xi'an, Shaanxi 710032, PR China
| | - Xianghong Bao
- Department of Health Service, School of Military Preventive Medicine, Fourth Military Medical University, Xi'an, Shaanxi 710032, PR China
| | - Wenlei Liu
- Department of Biomedical Engineering, Fourth Military Medical University, Xi'an, Shaanxi 710032, PR China
| | - Hong Yin
- Department of Radiology, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi, PR China
| | - Hongbing Lu
- Department of Biomedical Engineering, Fourth Military Medical University, Xi'an, Shaanxi 710032, PR China.
| | - Qingrong Tan
- Department of Psychiatry, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi 710032, PR China.
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Birur B, Kraguljac NV, Shelton RC, Lahti AC. Brain structure, function, and neurochemistry in schizophrenia and bipolar disorder-a systematic review of the magnetic resonance neuroimaging literature. NPJ SCHIZOPHRENIA 2017; 3:15. [PMID: 28560261 PMCID: PMC5441538 DOI: 10.1038/s41537-017-0013-9] [Citation(s) in RCA: 130] [Impact Index Per Article: 18.6] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/04/2016] [Revised: 01/17/2017] [Accepted: 01/24/2017] [Indexed: 12/18/2022]
Abstract
Since Emil Kraepelin's conceptualization of endogenous psychoses as dementia praecox and manic depression, the separation between primary psychotic disorders and primary affective disorders has been much debated. We conducted a systematic review of case-control studies contrasting magnetic resonance imaging studies in schizophrenia and bipolar disorder. A literature search in PubMed of studies published between January 2005 and December 2016 was conducted, and 50 structural, 29 functional, 7 magnetic resonance spectroscopy, and 8 combined imaging and genetic studies were deemed eligible for systematic review. Structural neuroimaging studies suggest white matter integrity deficits that are consistent across the illnesses, while gray matter reductions appear more widespread in schizophrenia compared to bipolar disorder. Spectroscopy studies in cortical gray matter report evidence of decreased neuronal integrity in both disorders. Functional neuroimaging studies typically report similar functional architecture of brain networks in healthy controls and patients across the psychosis spectrum, but find differential extent of alterations in task related activation and resting state connectivity between illnesses. The very limited imaging-genetic literature suggests a relationship between psychosis risk genes and brain structure, and possible gene by diagnosis interaction effects on functional imaging markers. While the existing literature suggests some shared and some distinct neural markers in schizophrenia and bipolar disorder, it will be imperative to conduct large, well designed, multi-modal neuroimaging studies in medication-naïve first episode patients that will be followed longitudinally over the course of their illness in an effort to advance our understanding of disease mechanisms.
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Affiliation(s)
- Badari Birur
- Department of Psychiatry and Behavioral Neurobiology, University of Alabama at Birmingham, Birmingham, AL USA
| | - Nina Vanessa Kraguljac
- Department of Psychiatry and Behavioral Neurobiology, University of Alabama at Birmingham, Birmingham, AL USA
| | - Richard C. Shelton
- Department of Psychiatry and Behavioral Neurobiology, University of Alabama at Birmingham, Birmingham, AL USA
| | - Adrienne Carol Lahti
- Department of Psychiatry and Behavioral Neurobiology, University of Alabama at Birmingham, Birmingham, AL USA
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Mubarik A, Tohid H. Frontal lobe alterations in schizophrenia: a review. TRENDS IN PSYCHIATRY AND PSYCHOTHERAPY 2016; 38:198-206. [DOI: 10.1590/2237-6089-2015-0088] [Citation(s) in RCA: 34] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/14/2015] [Accepted: 05/20/2016] [Indexed: 12/16/2022]
Abstract
Abstract Objective: To highlight the changes in the frontal lobe of the human brain in people with schizophrenia. Methods: This was a qualitative review of the literature. Results: Many schizophrenic patients exhibit functional, structural, and metabolic abnormalities in the frontal lobe. Some patients have few or no alterations, while some have more functional and structural changes than others. Magnetic resonance imaging (MRI) shows structural and functional changes in volume, gray matter, white matter, and functional activity in the frontal lobe, but the mechanisms underlying these changes are not yet fully understood. Conclusion: When schizophrenia is studied as an essential topic in the field of neuropsychiatry, neuroscientists find that the frontal lobe is the most commonly involved area of the human brain. A clear picture of how this lobe is affected in schizophrenia is still lacking. We therefore recommend that further research be conducted to improve understanding of the pathophysiology of this psychiatric dilemma.
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Disrupted Working Memory Circuitry in Schizophrenia: Disentangling fMRI Markers of Core Pathology vs Other Aspects of Impaired Performance. Neuropsychopharmacology 2016; 41:2411-20. [PMID: 27103065 PMCID: PMC4946071 DOI: 10.1038/npp.2016.55] [Citation(s) in RCA: 35] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/15/2015] [Revised: 03/03/2016] [Accepted: 04/07/2016] [Indexed: 11/08/2022]
Abstract
Working memory (WM) impairment, a core feature of schizophrenia, is often associated with aberrant dorsolateral prefrontal cortex (dlPFC) activation. Reduced resting-state connectivity within the frontoparietal control network (FPCN) has also been reported in schizophrenia. However, interpretation of WM-related dlPFC dysfunction has been limited by performance differences between patients and controls, and by uncertainty over the relevance of resting-state connectivity to network engagement during task. We contrasted brain activation in 40 schizophrenia patients and 40 controls during verbal WM performance, and evaluated underlying functional connectivity during rest and task. During correct trials, patients demonstrated normal FPCN activation, despite an inverse relationship between positive symptoms and activation. FPCN activation differed between the groups only during error trials (controls>patients). In contrast, controls demonstrated stronger deactivation of the ventromedial prefrontal cortex (vmPFC) during correct and error trials. Functional connectivity analysis indicated impaired resting-state FPCN connectivity in patients, but normal connectivity during task. However, patients showed abnormal connectivity among regions such as vmPFC, lateral orbitofrontal cortex, and parahippocampal gyrus (PHG) during both rest and task. During task, patients also exhibited altered thalamic connectivity to PHG and FPCN. Activation and connectivity patterns that were more characteristic of controls generally correlated with better performance. In summary, patients demonstrated normal FPCN activation when they remained on-task, and exhibited normal FPCN connectivity during WM, whereas vmPFC deactivation differences persisted regardless of WM performance. Our findings suggest that altered FPCN activation in patients reflects performance difference, and that limbic and thalamic dysfunction is critically involved in WM deficits in schizophrenia.
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Pu W, Luo Q, Palaniyappan L, Xue Z, Yao S, Feng J, Liu Z. Failed cooperative, but not competitive, interaction between large-scale brain networks impairs working memory in schizophrenia. Psychol Med 2016; 46:1211-1224. [PMID: 26743997 DOI: 10.1017/s0033291715002755] [Citation(s) in RCA: 29] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
BACKGROUND A large-scale network named the default mode network (DMN) dynamically cooperates and competes with an external attention system (EAS) to facilitate various cognitive functioning that is prominently impaired in schizophrenia. However, it is unclear whether the cognitive deficit in schizophrenia is related to the disrupted competition and/or cooperation between these two networks. METHOD A total of 35 schizophrenia patients and 30 healthy controls were scanned using gradient-echo echo-planar imaging during n-back working memory (WM) processing. Brain activities of the DMN and EAS were measured using general linear modelling of the functional magnetic resonance imaging data. Dynamic interaction between the DMN and EAS was decomposed into two directions using Granger causality analysis. RESULTS We observed a significant failure of DMN suppression in patients with schizophrenia, which was significantly related to WM/attentional deficit. Granger causality modelling showed that in healthy controls, while the EAS inhibitorily influenced the DMN, the DMN exerted an 'excitatory' or cooperative influence back on the EAS, especially in those with lower WM accuracy. In schizophrenia, this 'excitatory' DMN→EAS influence within the reciprocal EAS-DMN loop was significantly reduced, especially in patients with WM/attentional deficit. CONCLUSIONS The dynamic interaction between the DMN and EAS is likely to be comprised of both competitive and cooperative influences. In healthy controls, both the 'inhibitory' EAS→DMN interaction and 'excitatory' DMN→EAS interaction are correlated with WM performance. In schizophrenia, reduced 'cooperative' influence from the DMN to dorsal nodes of the EAS occurs in the context of non-suppression of the DMN and may form a possible pathophysiological substrate of WM deficit and attention disorder.
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Affiliation(s)
- W Pu
- Medical Psychological Institute,Second Xiangya Hospital,Central South University,Changsha,People's Republic of China
| | - Q Luo
- School of Life Sciences,Fudan University,Shanghai,People's Republic of China
| | - L Palaniyappan
- Department of Psychiatry,Schulich School of Medicine and Dentistry,University of Western Ontario,London,Ontario,Canada
| | - Z Xue
- Institute of Mental Health,Second Xiangya Hospital,Central South University,Changsha,People's Republic of China
| | - S Yao
- Medical Psychological Institute,Second Xiangya Hospital,Central South University,Changsha,People's Republic of China
| | - J Feng
- School of Life Sciences,Fudan University,Shanghai,People's Republic of China
| | - Z Liu
- Institute of Mental Health,Second Xiangya Hospital,Central South University,Changsha,People's Republic of China
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Zhou L, Pu W, Wang J, Liu H, Wu G, Liu C, Mwansisya TE, Tao H, Chen X, Huang X, Lv D, Xue Z, Shan B, Liu Z. Inefficient DMN Suppression in Schizophrenia Patients with Impaired Cognitive Function but not Patients with Preserved Cognitive Function. Sci Rep 2016; 6:21657. [PMID: 26882844 PMCID: PMC4756363 DOI: 10.1038/srep21657] [Citation(s) in RCA: 41] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2015] [Accepted: 01/27/2016] [Indexed: 12/31/2022] Open
Abstract
Previous studies have observed reduced suppression of the default mode network (DMN) during cognitive tasks in schizophrenia, suggesting inefficient DMN suppression is critical for the cognitive deficits of schizophrenia. Cognitive function in schizophrenia patients, however, varies from relatively intact to severely impaired. This study, which compared the DMN suppression patterns between first-episode schizophrenia patients with (SZ-Imp) and without (SZ-Pre) impaired cognitive function, may provide further insight into the role of DMN dysfunction in cognitive deficits of schizophrenia. Independent component analysis (ICA) was applied to resting-state fMRI data to identify the DMN in each subject, and then general linear modeling based on the task-fMRI data was used to examine the different DMN activation patterns between groups. We observed that the SZ-Imp group, but not the SZ-Pre group, showed reduced suppression in the medial prefrontal cortex and posterior cingulated cortex when compared to the healthy controls (HC) group. Moreover, less DMN suppression was associated with poorer task performance in both HC and patient groups. Our findings provide the first direct evidence that disrupted DMN activity only exists in schizophrenia patients with impaired cognitive function, supporting the specific neuro-pathological role of inefficient DMN suppression in cognitive deficits of first-episode schizophrenia.
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Affiliation(s)
- Li Zhou
- Mental Health Institute, Second Xiangya Hospital, Central South University, Changsha, Hunan, People’s Republic of China
- The China National Clinical Research Center for Mental Health Disorders, National Technology Institute of Psychiatry, Key Laboratory of Psychiatry and Mental Health of Hunan Province, 139 Middle Renmin Road, Changsha, Hunan 410011, People’s Republic of China
| | - Weidan Pu
- Medical Psychological Institute, Second Xiangya Hospital, Central South University, Changsha, People’s Republic of China
- The China National Clinical Research Center for Mental Health Disorders, National Technology Institute of Psychiatry, Key Laboratory of Psychiatry and Mental Health of Hunan Province, 139 Middle Renmin Road, Changsha, Hunan 410011, People’s Republic of China
| | - Jingjuan Wang
- Key Laboratory of Nuclear Analysis Techniques, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing, People’s Republic of China
| | - Haihong Liu
- Mental Heath Centre, Xiangya Hospital, Central South University, Changsha, Hunan, People’s Republic of China
| | - Guowei Wu
- Mental Health Institute, Second Xiangya Hospital, Central South University, Changsha, Hunan, People’s Republic of China
- The China National Clinical Research Center for Mental Health Disorders, National Technology Institute of Psychiatry, Key Laboratory of Psychiatry and Mental Health of Hunan Province, 139 Middle Renmin Road, Changsha, Hunan 410011, People’s Republic of China
| | - Chang Liu
- Mental Health Institute, Second Xiangya Hospital, Central South University, Changsha, Hunan, People’s Republic of China
- The China National Clinical Research Center for Mental Health Disorders, National Technology Institute of Psychiatry, Key Laboratory of Psychiatry and Mental Health of Hunan Province, 139 Middle Renmin Road, Changsha, Hunan 410011, People’s Republic of China
| | - Tumbwene E. Mwansisya
- Mental Health Institute, Second Xiangya Hospital, Central South University, Changsha, Hunan, People’s Republic of China
- College of Health Sciences, University of Dodoma, P.O. Box 395, Dodoma, Tanzania
| | - Haojuan Tao
- Mental Health Institute, Second Xiangya Hospital, Central South University, Changsha, Hunan, People’s Republic of China
- The China National Clinical Research Center for Mental Health Disorders, National Technology Institute of Psychiatry, Key Laboratory of Psychiatry and Mental Health of Hunan Province, 139 Middle Renmin Road, Changsha, Hunan 410011, People’s Republic of China
| | - Xudong Chen
- Mental Health Institute, Second Xiangya Hospital, Central South University, Changsha, Hunan, People’s Republic of China
- The China National Clinical Research Center for Mental Health Disorders, National Technology Institute of Psychiatry, Key Laboratory of Psychiatry and Mental Health of Hunan Province, 139 Middle Renmin Road, Changsha, Hunan 410011, People’s Republic of China
| | - Xiaojun Huang
- Mental Health Institute, Second Xiangya Hospital, Central South University, Changsha, Hunan, People’s Republic of China
- The China National Clinical Research Center for Mental Health Disorders, National Technology Institute of Psychiatry, Key Laboratory of Psychiatry and Mental Health of Hunan Province, 139 Middle Renmin Road, Changsha, Hunan 410011, People’s Republic of China
| | - Dongsheng Lv
- Mental Health Institute, Second Xiangya Hospital, Central South University, Changsha, Hunan, People’s Republic of China
- The China National Clinical Research Center for Mental Health Disorders, National Technology Institute of Psychiatry, Key Laboratory of Psychiatry and Mental Health of Hunan Province, 139 Middle Renmin Road, Changsha, Hunan 410011, People’s Republic of China
| | - Zhimin Xue
- Mental Health Institute, Second Xiangya Hospital, Central South University, Changsha, Hunan, People’s Republic of China
- The China National Clinical Research Center for Mental Health Disorders, National Technology Institute of Psychiatry, Key Laboratory of Psychiatry and Mental Health of Hunan Province, 139 Middle Renmin Road, Changsha, Hunan 410011, People’s Republic of China
| | - Baoci Shan
- Key Laboratory of Nuclear Analysis Techniques, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing, People’s Republic of China
- Beijing Engineering Research Center of Radio-graphic Techniques and Equipment, Beijing, People’s Republic of China
| | - Zhening Liu
- Mental Health Institute, Second Xiangya Hospital, Central South University, Changsha, Hunan, People’s Republic of China
- The China National Clinical Research Center for Mental Health Disorders, National Technology Institute of Psychiatry, Key Laboratory of Psychiatry and Mental Health of Hunan Province, 139 Middle Renmin Road, Changsha, Hunan 410011, People’s Republic of China
- State Key Laboratory of Medical Genetics, Central South University, Changsha, Hunan, People’s Republic of China
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Abstract
PURPOSE OF REVIEW The neural connections, interconnections and organized networks of the central nervous system (CNS), which represent the human connectome, are critical for intact brain function. Consequently, disturbances at any level or juncture of these networks may alter behaviour and/or lead to brain dysfunction. In this review, we focus on highlighting recent work using advanced imaging methods to address alterations in the structural and functional connectome in patients with schizophrenia. RECENT FINDINGS Using structural, diffusion, resting-state and task-related functional imaging and advanced computational analysis methods such as graph theory, more than 200 publications have addressed different aspects of structural and/or functional connectivity in schizophrenia over the last year. These studies have focused on determining how brain networks differ from those in controls, interact with symptom profiles within and across diagnoses, interface with disease-related cognitive impairments and confer genetic risk for the disorder. SUMMARY Much existing evidence supports the view that schizophrenia is a disorder of altered brain connectivity. Recent and continued characterization of the structural and functional connectome in schizophrenia patients have advanced our understanding of the neurobiology underlying clinical symptoms and cognitive impairments in a particular patient, their overlaps with other neuropsychiatric disorders sharing common features as well as the contributions of genetic risk factors. Although the clinical utility of the schizophrenia connectome remains to be realized, recent findings provide further promise that research in this area may lead to improved diagnosis, treatments and clinical outcomes.
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