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Rodríguez-Prieto Á, Mateos-White I, Aníbal-Martínez M, Navarro-González C, Gil-Sanz C, Domínguez-Canterla Y, González-Manteiga A, Del Buey Furió V, López-Bendito G, Fazzari P. Nrg1 intracellular signaling regulates the development of interhemispheric callosal axons in mice. Life Sci Alliance 2024; 7:e202302250. [PMID: 38918041 PMCID: PMC11200272 DOI: 10.26508/lsa.202302250] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2023] [Revised: 06/14/2024] [Accepted: 06/14/2024] [Indexed: 06/27/2024] Open
Abstract
Schizophrenia is associated with altered cortical circuitry. Although the schizophrenia risk gene NRG1 is known to affect the wiring of inhibitory interneurons, its role in excitatory neurons and axonal development is unclear. Here, we investigated the role of Nrg1 in the development of the corpus callosum, the major interhemispheric connection formed by cortical excitatory neurons. We found that deletion of Nrg1 impaired callosal axon development in vivo. Experiments in vitro and in vivo demonstrated that Nrg1 is cell-autonomously required for axonal outgrowth and that intracellular signaling of Nrg1 is sufficient to promote axonal development in cortical neurons and specifically in callosal axons. Furthermore, our data suggest that Nrg1 signaling regulates the expression of Growth Associated Protein 43, a key regulator of axonal growth. In conclusion, our study demonstrates that NRG1 is involved in the formation of interhemispheric callosal connections and provides a novel perspective on the relevance of NRG1 in excitatory neurons and in the etiology of schizophrenia.
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Affiliation(s)
- Ángela Rodríguez-Prieto
- Lab of Cortical Circuits in Health and Disease, CIPF Centro de Investigación Príncipe, Valencia, Spain
| | - Isabel Mateos-White
- Lab of Neural Development, BIOTECMED Institute, Universidad de Valencia, Valencia, Spain
| | - Mar Aníbal-Martínez
- Instituto de Neurociencias de Alicante, Universidad Miguel Hernández-Consejo Superior de Investigaciones Científicas (UMH-CSIC), Sant Joan d'Alacant, Spain
| | - Carmen Navarro-González
- Lab of Cortical Circuits in Health and Disease, CIPF Centro de Investigación Príncipe, Valencia, Spain
- Department of Biotechnology, Universitat Politècnica de València, Valencia, Spain
| | - Cristina Gil-Sanz
- Lab of Neural Development, BIOTECMED Institute, Universidad de Valencia, Valencia, Spain
| | - Yaiza Domínguez-Canterla
- Lab of Cortical Circuits in Health and Disease, CIPF Centro de Investigación Príncipe, Valencia, Spain
| | - Ana González-Manteiga
- Lab of Cortical Circuits in Health and Disease, CIPF Centro de Investigación Príncipe, Valencia, Spain
| | - Verónica Del Buey Furió
- Lab of Cortical Circuits in Health and Disease, CIPF Centro de Investigación Príncipe, Valencia, Spain
| | - Guillermina López-Bendito
- Instituto de Neurociencias de Alicante, Universidad Miguel Hernández-Consejo Superior de Investigaciones Científicas (UMH-CSIC), Sant Joan d'Alacant, Spain
| | - Pietro Fazzari
- Lab of Cortical Circuits in Health and Disease, CIPF Centro de Investigación Príncipe, Valencia, Spain
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Jiang YJ, Lai PH, Huang X. Interhemispheric functional in age-related macular degeneration patient: a resting-state functional MRI study. Neuroreport 2024; 35:621-626. [PMID: 38813903 DOI: 10.1097/wnr.0000000000002045] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/31/2024]
Abstract
Age-related macular degeneration (AMD) is a prevalent disease leading to severe visual impairment in the elderly population. Despite this, the pathogenesis of AMD remains largely unexplored. The application of resting-state functional MRI (rs-fMRI) allows for the detection of coherent intrinsic brain activities along with the interactions taking place between the two hemispheres. In the frame of our study, we utilize voxel-mirrored homotopic connectivity (VMHC) as an rs-fMRI method to carry out a comparative analysis of functional homotopy between the two hemispheres with the aim of further understanding the pathogenesis of AMD patients. In our study, we utilized the VMHC method to explore levels of brain activity in individuals diagnosed with AMD, planning to investigate potential links with their clinical characteristics. We extended our invitation to 20 AMD patients and 20 healthy controls from Jiangxi Provincial People's Hospital to participate in this research. rs-fMRIs were captured for each participant, and associated neural activity levels were examined using the VMHC method. Remarkably, our comparative examination with the healthy control group revealed significantly reduced VMHC in the cuneus, superior occipital lobe, precentral gyrus, and superior parietal lobule in the patient cohort. Utilizing the VMHC method allows us to identify discrepancies in the visual pathways of AMD patients compared with standard controls, potentially explaining the common challenges among AMD patients with object recognition, face recognition, and reading.
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Affiliation(s)
| | - Ping-Hong Lai
- Department of Ophthalmology, Jiangxi Provincial People's Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, China
| | - Xin Huang
- Department of Ophthalmology, Jiangxi Provincial People's Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, China
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Zhao Y, Li Y, Du J, Fang C, Li W, Lv M, Wu Y, Wang K, Wu T, Tian Y, Zhang J. Modulation of hemispheric asymmetry in executive control of attention in schizophrenia with atypical antipsychotic treatment: Potential benefits of olanzapine. Schizophr Res Cogn 2024; 36:100306. [PMID: 38469136 PMCID: PMC10926294 DOI: 10.1016/j.scog.2024.100306] [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: 01/11/2024] [Revised: 02/28/2024] [Accepted: 02/28/2024] [Indexed: 03/13/2024]
Abstract
Deficits in executive control of attention have been reported in schizophrenia patients, but can be ameliorated by treatment of atypical antipsychotics along with the symptoms. However, it remains unclear whether this effect is related to a modulation of hemispheric asymmetry in executive control by the medicine. In this behavioral study, we employed a lateralized version of the attention network test to examine the hemispheric asymmetry of executive control in schizophrenia patients before and after olanzapine treatment, compared to matched healthy controls. Executive control was measured as a conflict effect, indexed as the response time (RT) difference between incongruent versus congruent flanker conditions, and was compared between stimuli presented in the left and the right visual field (i.e., processed by right versus left hemisphere of the brain). Results showed that pre-treatment schizophrenia patients revealed a right hemisphere superiority in conflict effect (i.e., a smaller effect in the right hemisphere than in the left hemisphere), driven by the incongruent condition. Olanzapine treatment reduced this right hemisphere superiority by improving the efficiency of the left hemisphere in the incongruent condition. These results suggested that olanzapine treatment may improve the efficiency of executive control in the left hemisphere in schizophrenia patients.
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Affiliation(s)
- Yong Zhao
- The Sixth People's Hospital of Anqing, Anqing 246000, Anhui, China
| | - Yifan Li
- Department of Neurology, the First Affiliated Hospital of Anhui Medical University, Hefei 230000, Anhui, China
| | - Jing Du
- Department of Neurology, the Second Affiliated Hospital of Anhui Medical University, Hefei 230000, Anhui, China
| | - Chuanlong Fang
- The Sixth People's Hospital of Anqing, Anqing 246000, Anhui, China
| | - Wansheng Li
- The Sixth People's Hospital of Anqing, Anqing 246000, Anhui, China
| | - Mengyu Lv
- Beijing Key Lab of Learning and Cognition, School of Psychology, Capital Normal University, Beijing 100048, Beijing, China
| | - Yue Wu
- Department of Neurology, the Second Affiliated Hospital of Anhui Medical University, Hefei 230000, Anhui, China
| | - Kai Wang
- Department of Neurology, the First Affiliated Hospital of Anhui Medical University, Hefei 230000, Anhui, China
- Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei 230000, Anhui, China
- Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei 230000, Anhui, China
- Collaborative Innovation Center of Neuropsychiatric Disorders and Mental Health, Hefei 230000, Anhui, China
- The School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei 230000, Anhui, China
| | - Tingting Wu
- Beijing Key Lab of Learning and Cognition, School of Psychology, Capital Normal University, Beijing 100048, Beijing, China
| | - Yanghua Tian
- Department of Neurology, the First Affiliated Hospital of Anhui Medical University, Hefei 230000, Anhui, China
- Department of Neurology, the Second Affiliated Hospital of Anhui Medical University, Hefei 230000, Anhui, China
- Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei 230000, Anhui, China
- Collaborative Innovation Center of Neuropsychiatric Disorders and Mental Health, Hefei 230000, Anhui, China
| | - Juanjuan Zhang
- Department of Neurology, the First Affiliated Hospital of Anhui Medical University, Hefei 230000, Anhui, China
- Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei 230000, Anhui, China
- Collaborative Innovation Center of Neuropsychiatric Disorders and Mental Health, Hefei 230000, Anhui, China
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4
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Zhang H, Kuang Q, Li R, Song Z, She S, Zheng Y. Association between homotopic connectivity and clinical symptoms in first-episode schizophrenia. Heliyon 2024; 10:e30347. [PMID: 38707391 PMCID: PMC11066690 DOI: 10.1016/j.heliyon.2024.e30347] [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: 05/24/2023] [Revised: 04/13/2024] [Accepted: 04/24/2024] [Indexed: 05/07/2024] Open
Abstract
Background Abnormal functional connectivity (FC) in the brain has been observed in schizophrenia patients. However, studies on FC between homotopic brain regions are limited, and the results of these studies are inconsistent. The aim of this study was to compare homotopic connectivity between first-episode schizophrenia (FES) patients and healthy subjects and assess its correlation with clinical symptoms. Methods Thirty-one FES patients and thirty-three healthy controls (HC) were included in the study. The voxel-mirrored homotopic connectivity (VMHC) method of resting-state functional magnetic resonance imaging (rs-fMRI) was used to analyse the changes in homotopic connectivity between the two groups. The 5-factor PANSS model was used to quantitatively evaluate the severity of symptoms in FES patients. Partial correlation analysis was used to assess the correlation between homotopic connectivity changes and clinical symptoms. Results Compared to those in the HC group, VMHC values were decreased in the paracentral lobule (PL), thalamus, and superior temporal gyrus (STG) in the FES group (P < 0.05, FDR correction). No significant differences in white matter volume (WMV) within the subregion of the corpus callosum or in brain regions associated with reduced VMHC were observed between the two groups. Partial correlation analyses revealed that VMHC in the bilateral STG of FES patients was positively correlated with negative symptoms (rleft = 0.46, p < 0.05; rright = 0.47, p < 0.05), and VMHC in the right thalamus was negatively correlated with disorganized/concrete symptoms (rright = 0.45, p < 0.05). Conclusion Our study revealed that homotopic connectivity is altered in the resting-state brain of FES patients and correlates with the severity of negative symptoms; this change may be independent of structural changes in white matter. These findings may contribute to the development of the abnormal connectivity hypothesis in schizophrenia patients.
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Affiliation(s)
| | | | - Ruikeng Li
- Department of Psychiatry, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, 510370, China
| | - Zhen Song
- Department of Psychiatry, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, 510370, China
| | - Shenglin She
- Department of Psychiatry, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, 510370, China
| | - Yingjun Zheng
- Department of Psychiatry, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, 510370, China
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Cai M, Ji Y, Zhao Q, Xue H, Sun Z, Wang H, Zhang Y, Chen Y, Zhao Y, Zhang Y, Lei M, Wang C, Zhuo C, Liu N, Liu H, Liu F. Homotopic functional connectivity disruptions in schizophrenia and their associated gene expression. Neuroimage 2024; 289:120551. [PMID: 38382862 DOI: 10.1016/j.neuroimage.2024.120551] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2023] [Revised: 02/18/2024] [Accepted: 02/19/2024] [Indexed: 02/23/2024] Open
Abstract
It has been revealed that abnormal voxel-mirrored homotopic connectivity (VMHC) is present in patients with schizophrenia, yet there are inconsistencies in the relevant findings. Moreover, little is known about their association with brain gene expression profiles. In this study, transcription-neuroimaging association analyses using gene expression data from Allen Human Brain Atlas and case-control VMHC differences from both the discovery (meta-analysis, including 9 studies with a total of 386 patients and 357 controls) and replication (separate group-level comparisons within two datasets, including a total of 258 patients and 287 controls) phases were performed to identify genes associated with VMHC alterations. Enrichment analyses were conducted to characterize the biological functions and specific expression of identified genes, and Neurosynth decoding analysis was performed to examine the correlation between cognitive-related processes and VMHC alterations in schizophrenia. In the discovery and replication phases, patients with schizophrenia exhibited consistent VMHC changes compared to controls, which were correlated with a series of cognitive-related processes; meta-regression analysis revealed that illness duration was negatively correlated with VMHC abnormalities in the cerebellum and postcentral/precentral gyrus. The abnormal VMHC patterns were stably correlated with 1287 genes enriched for fundamental biological processes like regulation of cell communication, nervous system development, and cell communication. In addition, these genes were overexpressed in astrocytes and immune cells, enriched in extensive cortical regions and wide developmental time windows. The present findings may contribute to a more comprehensive understanding of the molecular mechanisms underlying VMHC alterations in patients with schizophrenia.
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Affiliation(s)
- Mengjing Cai
- Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin 300052, China
| | - Yuan Ji
- Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin 300052, China
| | - Qiyu Zhao
- Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin 300052, China
| | - Hui Xue
- Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin 300052, China
| | - Zuhao Sun
- Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin 300052, China
| | - He Wang
- Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin 300052, China
| | - Yijing Zhang
- Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin 300052, China
| | - Yayuan Chen
- Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin 300052, China
| | - Yao Zhao
- Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin 300052, China
| | - Yujie Zhang
- Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin 300052, China
| | - Minghuan Lei
- Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin 300052, China
| | - Chunyang Wang
- Department of Scientific Research, Tianjin Medical University General Hospital, Tianjin 300052, China
| | - Chuanjun Zhuo
- Laboratory of Psychiatric-Neuroimaging-Genetic and Co-morbidity (PGNP_Lab), Tianjin Anding Hospital, Nankai University Affiliated Tianjin Anding Hospital, Tianjin Mental Health Center of Tianjin Medical University, Tianjin, 300222, China
| | - Nana Liu
- Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin 300052, China.
| | - Huaigui Liu
- Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin 300052, China.
| | - Feng Liu
- Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin 300052, China.
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Hu H, Wang L, Abdul S, Tang X, Feng Q, Mu Y, Ge X, Liao Z, Ding Z. Frequency-dependent alterations in functional connectivity in patients with Alzheimer's Disease spectrum disorders. Front Aging Neurosci 2024; 16:1375836. [PMID: 38605859 PMCID: PMC11007178 DOI: 10.3389/fnagi.2024.1375836] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2024] [Accepted: 03/04/2024] [Indexed: 04/13/2024] Open
Abstract
Background In the spectrum of Alzheimer's Disease (AD) and related disorders, the resting-state functional magnetic resonance imaging (rs-fMRI) signals within the cerebral cortex may exhibit distinct characteristics across various frequency ranges. Nevertheless, this hypothesis has not yet been substantiated within the broader context of whole-brain functional connectivity. This study aims to explore potential modifications in degree centrality (DC) and voxel-mirrored homotopic connectivity (VMHC) among individuals with amnestic mild cognitive impairment (aMCI) and AD, while assessing whether these alterations differ across distinct frequency bands. Methods This investigation encompassed a total of 53 AD patients, 40 aMCI patients, and 40 healthy controls (HCs). DC and VMHC values were computed within three distinct frequency bands: classical (0.01-0.08 Hz), slow-4 (0.027-0.073 Hz), and slow-5 (0.01-0.027 Hz) for the three respective groups. To discern differences among these groups, ANOVA and subsequent post hoc two-sample t-tests were employed. Cognitive function assessment utilized the mini-mental state examination (MMSE) and Montreal Cognitive Assessment (MoCA). Pearson correlation analysis was applied to investigate the associations between MMSE and MoCA scores with DC and VMHC. Results Significant variations in degree centrality (DC) were observed among different groups across diverse frequency bands. The most notable differences were identified in the bilateral caudate nucleus (CN), bilateral medial superior frontal gyrus (mSFG), bilateral Lobule VIII of the cerebellar hemisphere (Lobule VIII), left precuneus (PCu), right Lobule VI of the cerebellar hemisphere (Lobule VI), and right Lobule IV and V of the cerebellar hemisphere (Lobule IV, V). Likewise, disparities in voxel-mirrored homotopic connectivity (VMHC) among groups were predominantly localized to the posterior cingulate gyrus (PCG) and Crus II of the cerebellar hemisphere (Crus II). Across the three frequency bands, the brain regions exhibiting significant differences in various parameters were most abundant in the slow-5 frequency band. Conclusion This study enhances our understanding of the pathological and physiological mechanisms associated with AD continuum. Moreover, it underscores the importance of researchers considering various frequency bands in their investigations of brain function.
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Affiliation(s)
- Hanjun Hu
- The Fourth Clinical College, Zhejiang Chinese Medical University, Hangzhou, China
- Department of Radiology, Hangzhou First People's Hospital, Hangzhou, China
| | - Luoyu Wang
- Department of Radiology, Hangzhou First People's Hospital, Hangzhou, China
- School of Biomedical Engineering, Shanghai Tech University, Shanghai, China
| | - Sammad Abdul
- International Education College, Zhejiang Chinese Medical University, Hangzhou, China
| | - Xue Tang
- School of Medical Imaging, Hangzhou Medical College, Hangzhou, China
| | - Qi Feng
- Department of Radiology, Hangzhou First People's Hospital, Hangzhou, China
| | - Yuzhu Mu
- The Fourth Clinical College, Zhejiang Chinese Medical University, Hangzhou, China
- Department of Radiology, Hangzhou First People's Hospital, Hangzhou, China
| | - Xiuhong Ge
- Department of Radiology, Hangzhou First People's Hospital, Hangzhou, China
| | - Zhengluan Liao
- Department of Psychiatry, Zhejiang Provincial People’s Hospital/People’s Hospital of Hangzhou Medical College, Hangzhou, China
| | - Zhongxiang Ding
- Department of Radiology, Hangzhou First People's Hospital, Hangzhou, China
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7
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Wang P, Jiang Y, Biswal BB. Aberrant interhemispheric structural and functional connectivity within whole brain in schizophrenia. Schizophr Res 2024; 264:336-344. [PMID: 38218019 DOI: 10.1016/j.schres.2023.12.033] [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: 09/19/2022] [Revised: 11/27/2023] [Accepted: 12/26/2023] [Indexed: 01/15/2024]
Abstract
OBJECTIVE Schizophrenia is a serious mental disorder whose etiology remains unclear. Although numerous studies have analyzed the abnormal gray matter functional activity and whole-brain anatomical changes in schizophrenia, fMRI signal fluctuations from white matter have usually been ignored and rarely reported in the literature. METHODS We employed 45 schizophrenia subjects and 75 healthy controls (HCs) from a publicly available fMRI dataset. By combining the voxel-mirrored homotopic connectivity (VMHC) measure and fiber tracking method, we investigated the interhemispheric functional and structural connectivity within whole brain in schizophrenia. RESULTS Compared to HCs, patients with schizophrenia exhibited significantly reduced VMHC in the bilateral middle occipital gyrus, precentral gyrus, postcentral gyrus and corpus callosum. Fiber tracking results showed the changes in structural connectivity for the bilateral precentral gyrus, and the bilateral corpus callosum, and the fiber bundles connecting bilateral precentral gyrus and connecting the bilateral corpus callosum passed through the posterior midbody, isthmus and splenium of mid-sagittal corpus callosum, which closely related to the interhemispheric integration of visual and auditory information. More importantly, we observed a negative correlation between averaged VMHC values in the postcentral gyrus and SAPS scores, and a positive correlation between the fractional anisotropy of fiber bundle connecting the bilateral precentral gyrus and Matrix Reasoning scores in schizophrenia. CONCLUSION Our findings provide a novel perspective of white matter functional images on understanding abnormal interhemispheric visual and auditory information transfer in schizophrenia.
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Affiliation(s)
- Pan Wang
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, Center for Information in Medicine, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
| | - Yuan Jiang
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, Center for Information in Medicine, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
| | - Bharat B Biswal
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, Center for Information in Medicine, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China; Department of Biomedical Engineering, New Jersey Institute of Technology, Newark, NJ 07102, USA.
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8
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He K, Hua Q, Li Q, Zhang Y, Yao X, Yang Y, Xu W, Sun J, Wang L, Wang A, Ji GJ, Wang K. Abnormal interhemispheric functional cooperation in schizophrenia follows the neurotransmitter profiles. J Psychiatry Neurosci 2023; 48:E452-E460. [PMID: 38123242 PMCID: PMC10743641 DOI: 10.1503/jpn.230037] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/02/2023] [Revised: 06/26/2023] [Accepted: 09/05/2023] [Indexed: 12/23/2023] Open
Abstract
BACKGROUND Interhemispheric cooperation is one of the most prominent functional architectures of the human brain. In patients with schizophrenia, interhemispheric cooperation deficits have been reported using increasingly powerful neurobehavioural and neuroimaging measures. However, these methods rely in part on the assumption of anatomic symmetry between hemispheres. In the present study, we explored interhemispheric cooperation deficits in schizophrenia using a newly developed index, connectivity between functionally homotopic voxels (CFH), which is unbiased by hemispheric asymmetry. METHODS Patients with schizophrenia and age- and sexmatched healthy controls underwent multimodal MRI, and whole-brain CFH maps were constructed for comparison between groups. We examined the correlations of differing CFH values between the schizophrenia and control groups using various neurotransmitter receptor and transporter densities. RESULTS We included 86 patients with schizophrenia and 86 matched controls in our analysis. Patients with schizophrenia showed significantly lower CFH values in the frontal lobes, left postcentral gyrus and right inferior temporal gyrus, and significantly greater CFH values in the right caudate nucleus than healthy controls. Moreover, the differing CFH values in patients with schizophrenia were significantly correlated with positive symptom score and illness duration. Functional connectivity within frontal lobes was significantly reduced at the voxel cluster level compared with healthy controls. Finally, the abnormal CFH map of patients with schizophrenia was spatially associated with the densities of the dopamine D1 and D2 receptors, fluorodopa, dopamine transporter, serotonin transporter and acetylcholine transporter. CONCLUSION Regional abnormalities in interhemispheric cooperation may contribute to the clinical symptoms of schizophrenia. These CFH abnormalities may be associated with dysfunction in neurotransmitter systems strongly implicated in schizophrenia.
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Affiliation(s)
- Kongliang He
- From the Affiliated Psychological Hospital of Anhui Medical University, Hefei, China (He, A. Wang); the Department of Neurology, The First Affiliated Hospital of Anhui Medical University, Anhui Medical University, Hefei, China (He, Hua, Yao, Sun, L. Wang, Ji, K. Wang); the School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, China (He, Zhang, Yang, Xu, A. Wang, Ji, K. Wang); the Hefei Fourth People's Hospital, Hefei, China (He, A. Wang); the Anhui Mental Health Center, Hefei, China (He, A. Wang); the Department of Psychology and Sleep Medicine, The Second Affiliated Hospital of Anhui Medical University, Hefei, China (Li); the Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, China (Hua, Li, Zhang, Yang, Xu, Sun, L. Wang, Ji, K. Wang); the Collaborative Innovation Centre of Neuropsychiatric Disorder and Mental Health, Hefei, China (Hua, Li, Zhang, Yang, Xu, Sun, L. Wang, Ji, K. Wang); the Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei, China (K. Wang); and the Anhui Institute of Translational Medicine, Hefei, China (K. Wang)
| | - Qiang Hua
- From the Affiliated Psychological Hospital of Anhui Medical University, Hefei, China (He, A. Wang); the Department of Neurology, The First Affiliated Hospital of Anhui Medical University, Anhui Medical University, Hefei, China (He, Hua, Yao, Sun, L. Wang, Ji, K. Wang); the School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, China (He, Zhang, Yang, Xu, A. Wang, Ji, K. Wang); the Hefei Fourth People's Hospital, Hefei, China (He, A. Wang); the Anhui Mental Health Center, Hefei, China (He, A. Wang); the Department of Psychology and Sleep Medicine, The Second Affiliated Hospital of Anhui Medical University, Hefei, China (Li); the Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, China (Hua, Li, Zhang, Yang, Xu, Sun, L. Wang, Ji, K. Wang); the Collaborative Innovation Centre of Neuropsychiatric Disorder and Mental Health, Hefei, China (Hua, Li, Zhang, Yang, Xu, Sun, L. Wang, Ji, K. Wang); the Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei, China (K. Wang); and the Anhui Institute of Translational Medicine, Hefei, China (K. Wang)
| | - Qianqian Li
- From the Affiliated Psychological Hospital of Anhui Medical University, Hefei, China (He, A. Wang); the Department of Neurology, The First Affiliated Hospital of Anhui Medical University, Anhui Medical University, Hefei, China (He, Hua, Yao, Sun, L. Wang, Ji, K. Wang); the School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, China (He, Zhang, Yang, Xu, A. Wang, Ji, K. Wang); the Hefei Fourth People's Hospital, Hefei, China (He, A. Wang); the Anhui Mental Health Center, Hefei, China (He, A. Wang); the Department of Psychology and Sleep Medicine, The Second Affiliated Hospital of Anhui Medical University, Hefei, China (Li); the Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, China (Hua, Li, Zhang, Yang, Xu, Sun, L. Wang, Ji, K. Wang); the Collaborative Innovation Centre of Neuropsychiatric Disorder and Mental Health, Hefei, China (Hua, Li, Zhang, Yang, Xu, Sun, L. Wang, Ji, K. Wang); the Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei, China (K. Wang); and the Anhui Institute of Translational Medicine, Hefei, China (K. Wang)
| | - Yan Zhang
- From the Affiliated Psychological Hospital of Anhui Medical University, Hefei, China (He, A. Wang); the Department of Neurology, The First Affiliated Hospital of Anhui Medical University, Anhui Medical University, Hefei, China (He, Hua, Yao, Sun, L. Wang, Ji, K. Wang); the School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, China (He, Zhang, Yang, Xu, A. Wang, Ji, K. Wang); the Hefei Fourth People's Hospital, Hefei, China (He, A. Wang); the Anhui Mental Health Center, Hefei, China (He, A. Wang); the Department of Psychology and Sleep Medicine, The Second Affiliated Hospital of Anhui Medical University, Hefei, China (Li); the Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, China (Hua, Li, Zhang, Yang, Xu, Sun, L. Wang, Ji, K. Wang); the Collaborative Innovation Centre of Neuropsychiatric Disorder and Mental Health, Hefei, China (Hua, Li, Zhang, Yang, Xu, Sun, L. Wang, Ji, K. Wang); the Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei, China (K. Wang); and the Anhui Institute of Translational Medicine, Hefei, China (K. Wang)
| | - Xiaoqing Yao
- From the Affiliated Psychological Hospital of Anhui Medical University, Hefei, China (He, A. Wang); the Department of Neurology, The First Affiliated Hospital of Anhui Medical University, Anhui Medical University, Hefei, China (He, Hua, Yao, Sun, L. Wang, Ji, K. Wang); the School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, China (He, Zhang, Yang, Xu, A. Wang, Ji, K. Wang); the Hefei Fourth People's Hospital, Hefei, China (He, A. Wang); the Anhui Mental Health Center, Hefei, China (He, A. Wang); the Department of Psychology and Sleep Medicine, The Second Affiliated Hospital of Anhui Medical University, Hefei, China (Li); the Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, China (Hua, Li, Zhang, Yang, Xu, Sun, L. Wang, Ji, K. Wang); the Collaborative Innovation Centre of Neuropsychiatric Disorder and Mental Health, Hefei, China (Hua, Li, Zhang, Yang, Xu, Sun, L. Wang, Ji, K. Wang); the Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei, China (K. Wang); and the Anhui Institute of Translational Medicine, Hefei, China (K. Wang)
| | - Yinian Yang
- From the Affiliated Psychological Hospital of Anhui Medical University, Hefei, China (He, A. Wang); the Department of Neurology, The First Affiliated Hospital of Anhui Medical University, Anhui Medical University, Hefei, China (He, Hua, Yao, Sun, L. Wang, Ji, K. Wang); the School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, China (He, Zhang, Yang, Xu, A. Wang, Ji, K. Wang); the Hefei Fourth People's Hospital, Hefei, China (He, A. Wang); the Anhui Mental Health Center, Hefei, China (He, A. Wang); the Department of Psychology and Sleep Medicine, The Second Affiliated Hospital of Anhui Medical University, Hefei, China (Li); the Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, China (Hua, Li, Zhang, Yang, Xu, Sun, L. Wang, Ji, K. Wang); the Collaborative Innovation Centre of Neuropsychiatric Disorder and Mental Health, Hefei, China (Hua, Li, Zhang, Yang, Xu, Sun, L. Wang, Ji, K. Wang); the Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei, China (K. Wang); and the Anhui Institute of Translational Medicine, Hefei, China (K. Wang)
| | - Wenqiang Xu
- From the Affiliated Psychological Hospital of Anhui Medical University, Hefei, China (He, A. Wang); the Department of Neurology, The First Affiliated Hospital of Anhui Medical University, Anhui Medical University, Hefei, China (He, Hua, Yao, Sun, L. Wang, Ji, K. Wang); the School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, China (He, Zhang, Yang, Xu, A. Wang, Ji, K. Wang); the Hefei Fourth People's Hospital, Hefei, China (He, A. Wang); the Anhui Mental Health Center, Hefei, China (He, A. Wang); the Department of Psychology and Sleep Medicine, The Second Affiliated Hospital of Anhui Medical University, Hefei, China (Li); the Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, China (Hua, Li, Zhang, Yang, Xu, Sun, L. Wang, Ji, K. Wang); the Collaborative Innovation Centre of Neuropsychiatric Disorder and Mental Health, Hefei, China (Hua, Li, Zhang, Yang, Xu, Sun, L. Wang, Ji, K. Wang); the Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei, China (K. Wang); and the Anhui Institute of Translational Medicine, Hefei, China (K. Wang)
| | - Jinmei Sun
- From the Affiliated Psychological Hospital of Anhui Medical University, Hefei, China (He, A. Wang); the Department of Neurology, The First Affiliated Hospital of Anhui Medical University, Anhui Medical University, Hefei, China (He, Hua, Yao, Sun, L. Wang, Ji, K. Wang); the School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, China (He, Zhang, Yang, Xu, A. Wang, Ji, K. Wang); the Hefei Fourth People's Hospital, Hefei, China (He, A. Wang); the Anhui Mental Health Center, Hefei, China (He, A. Wang); the Department of Psychology and Sleep Medicine, The Second Affiliated Hospital of Anhui Medical University, Hefei, China (Li); the Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, China (Hua, Li, Zhang, Yang, Xu, Sun, L. Wang, Ji, K. Wang); the Collaborative Innovation Centre of Neuropsychiatric Disorder and Mental Health, Hefei, China (Hua, Li, Zhang, Yang, Xu, Sun, L. Wang, Ji, K. Wang); the Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei, China (K. Wang); and the Anhui Institute of Translational Medicine, Hefei, China (K. Wang)
| | - Lu Wang
- From the Affiliated Psychological Hospital of Anhui Medical University, Hefei, China (He, A. Wang); the Department of Neurology, The First Affiliated Hospital of Anhui Medical University, Anhui Medical University, Hefei, China (He, Hua, Yao, Sun, L. Wang, Ji, K. Wang); the School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, China (He, Zhang, Yang, Xu, A. Wang, Ji, K. Wang); the Hefei Fourth People's Hospital, Hefei, China (He, A. Wang); the Anhui Mental Health Center, Hefei, China (He, A. Wang); the Department of Psychology and Sleep Medicine, The Second Affiliated Hospital of Anhui Medical University, Hefei, China (Li); the Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, China (Hua, Li, Zhang, Yang, Xu, Sun, L. Wang, Ji, K. Wang); the Collaborative Innovation Centre of Neuropsychiatric Disorder and Mental Health, Hefei, China (Hua, Li, Zhang, Yang, Xu, Sun, L. Wang, Ji, K. Wang); the Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei, China (K. Wang); and the Anhui Institute of Translational Medicine, Hefei, China (K. Wang)
| | - Anzhen Wang
- From the Affiliated Psychological Hospital of Anhui Medical University, Hefei, China (He, A. Wang); the Department of Neurology, The First Affiliated Hospital of Anhui Medical University, Anhui Medical University, Hefei, China (He, Hua, Yao, Sun, L. Wang, Ji, K. Wang); the School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, China (He, Zhang, Yang, Xu, A. Wang, Ji, K. Wang); the Hefei Fourth People's Hospital, Hefei, China (He, A. Wang); the Anhui Mental Health Center, Hefei, China (He, A. Wang); the Department of Psychology and Sleep Medicine, The Second Affiliated Hospital of Anhui Medical University, Hefei, China (Li); the Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, China (Hua, Li, Zhang, Yang, Xu, Sun, L. Wang, Ji, K. Wang); the Collaborative Innovation Centre of Neuropsychiatric Disorder and Mental Health, Hefei, China (Hua, Li, Zhang, Yang, Xu, Sun, L. Wang, Ji, K. Wang); the Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei, China (K. Wang); and the Anhui Institute of Translational Medicine, Hefei, China (K. Wang)
| | - Gong-Jun Ji
- From the Affiliated Psychological Hospital of Anhui Medical University, Hefei, China (He, A. Wang); the Department of Neurology, The First Affiliated Hospital of Anhui Medical University, Anhui Medical University, Hefei, China (He, Hua, Yao, Sun, L. Wang, Ji, K. Wang); the School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, China (He, Zhang, Yang, Xu, A. Wang, Ji, K. Wang); the Hefei Fourth People's Hospital, Hefei, China (He, A. Wang); the Anhui Mental Health Center, Hefei, China (He, A. Wang); the Department of Psychology and Sleep Medicine, The Second Affiliated Hospital of Anhui Medical University, Hefei, China (Li); the Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, China (Hua, Li, Zhang, Yang, Xu, Sun, L. Wang, Ji, K. Wang); the Collaborative Innovation Centre of Neuropsychiatric Disorder and Mental Health, Hefei, China (Hua, Li, Zhang, Yang, Xu, Sun, L. Wang, Ji, K. Wang); the Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei, China (K. Wang); and the Anhui Institute of Translational Medicine, Hefei, China (K. Wang)
| | - Kai Wang
- From the Affiliated Psychological Hospital of Anhui Medical University, Hefei, China (He, A. Wang); the Department of Neurology, The First Affiliated Hospital of Anhui Medical University, Anhui Medical University, Hefei, China (He, Hua, Yao, Sun, L. Wang, Ji, K. Wang); the School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, China (He, Zhang, Yang, Xu, A. Wang, Ji, K. Wang); the Hefei Fourth People's Hospital, Hefei, China (He, A. Wang); the Anhui Mental Health Center, Hefei, China (He, A. Wang); the Department of Psychology and Sleep Medicine, The Second Affiliated Hospital of Anhui Medical University, Hefei, China (Li); the Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, China (Hua, Li, Zhang, Yang, Xu, Sun, L. Wang, Ji, K. Wang); the Collaborative Innovation Centre of Neuropsychiatric Disorder and Mental Health, Hefei, China (Hua, Li, Zhang, Yang, Xu, Sun, L. Wang, Ji, K. Wang); the Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei, China (K. Wang); and the Anhui Institute of Translational Medicine, Hefei, China (K. Wang)
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9
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Szocsics P, Papp P, Havas L, Lőke J, Maglóczky Z. Interhemispheric differences of pyramidal cells in the primary motor cortices of schizophrenia patients investigated postmortem. Cereb Cortex 2023; 33:8179-8193. [PMID: 36967112 PMCID: PMC10321096 DOI: 10.1093/cercor/bhad107] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2022] [Revised: 03/02/2023] [Accepted: 03/03/2023] [Indexed: 07/20/2023] Open
Abstract
Motor disturbances are observed in schizophrenia patients, but the neuroanatomical background is unknown. Our aim was to investigate the pyramidal cells of the primary motor cortex (BA 4) in both hemispheres of postmortem control and schizophrenia subjects-8 subjects in each group-with 2.5-5.5 h postmortem interval. The density and size of the Sternberger monoclonal incorporated antibody 32 (SMI32)-immunostained pyramidal cells in layer 3 and 5 showed no change; however, the proportion of larger pyramidal cells is decreased in layer 5. Giant pyramidal neurons (Betz cells) were investigated distinctively with SMI32- and parvalbumin (PV) immunostainings. In the right hemisphere of schizophrenia subjects, the density of Betz cells was decreased and their PV-immunopositive perisomatic input showed impairment. Part of the Betz cells contained PV in both groups, but the proportion of PV-positive cells has declined with age. The rat model of antipsychotic treatment with haloperidol and olanzapine showed no differences in size and density of SMI32-immunopositive pyramidal cells. Our results suggest that motor impairment of schizophrenia patients may have a morphological basis involving the Betz cells in the right hemisphere. These alterations can have neurodevelopmental and neurodegenerative explanations, but antipsychotic treatment does not explain them.
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Affiliation(s)
- Péter Szocsics
- Human Brain Research Laboratory, Institute of Experimental Medicine, ELKH, Budapest 1083, Hungary
- János Szentágothai Doctoral School of Neuroscience, Semmelweis University, Budapest 1085, Hungary
| | - Péter Papp
- Cerebral Cortex Research Group, Institute of Experimental Medicine, ELKH, Budapest 1083, Hungary
| | - László Havas
- Department of Pathology, Szt. Borbála Hospital, Tatabánya 2800, Hungary
- Department of Psychiatry, Szt. Borbála Hospital, Tatabánya 2800, Hungary
| | - János Lőke
- Department of Psychiatry, Szt. Borbála Hospital, Tatabánya 2800, Hungary
| | - Zsófia Maglóczky
- Human Brain Research Laboratory, Institute of Experimental Medicine, ELKH, Budapest 1083, Hungary
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10
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Tao B, Xiao Y, Li B, Yu W, Zhu F, Gao Z, Cao H, Gong Q, Gu S, Qiu C, Lui S. Linked patterns of interhemispheric functional connectivity and microstructural characteristics of the corpus callosum in antipsychotic-naive first-episode schizophrenia. Asian J Psychiatr 2023; 86:103659. [PMID: 37327564 DOI: 10.1016/j.ajp.2023.103659] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/04/2023] [Revised: 06/01/2023] [Accepted: 06/02/2023] [Indexed: 06/18/2023]
Abstract
OBJECTIVE Many magnetic resonance imaging (MRI) studies have showed significant structural abnormalities of the corpus callosum (CC) and dysregulated interhemispheric functional connectivity (FC) in schizophrenia. Although the hemispheres are mainly linked through CC, few studies directly examined the relationship between aberrant interhemispheric FC and the white matter deficits of the CC in schizophrenia. METHODS One hundred and sixty-nine antipsychotic-naive first-episode schizophrenia patients (AN-FES) and 214 healthy controls (HCs) were recruited. Diffusional and functional MRI data were obtained for each participant, and fractional anisotropy (FA) values of the five CC subregions and interhemispheric FC for each participant were acquired. Between-group differences in these metrics were compared using multivariate analysis of covariance (MANCOVA). Moreover, sparse canonical correlation analysis (sCCA) was conducted to explore correlations of fibers integrity of the CC subregions with dysregulated interhemispheric FC in patients. RESULTS Compared with HCs, the patients with schizophrenia showed significantly reduced FA values of the CC subregions and dysregulated connectivity between two cerebral hemispheres. The canonical correlation coefficients identified five significant sCCA modes between FA and FC (r > 0.75, p < 0.001), suggesting strong relationships between FA values of the CC subregions and interhemispheric FC in patients. CONCLUSION Our findings support a key role of CC in maintaining ongoing functional communication between two cerebral hemispheres, and suggest that microstructural changes of white matter fibers crossing different CC subregions may affect special interhemispheric FC in schizophrenia.
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Affiliation(s)
- Bo Tao
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - Yuan Xiao
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - Bin Li
- School of Computer Science and Engineering, University of Electronic Science and Technology of China, No. 2006 Xiyuan Avenue, West Hi-Tech Zone, 611731, Chengdu, China
| | - Wei Yu
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - Fei Zhu
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - Ziyang Gao
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - Hengyi Cao
- Center for Psychiatry Neuroscience, Feinstein Institute for Medical Research, Manhasset, NY, USA; Division of Psychiatry Research, Zucker Hillside Hospital, Glen Oaks, NY, USA
| | - Qiyong Gong
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan, China.
| | - Shi Gu
- School of Computer Science and Engineering, University of Electronic Science and Technology of China, No. 2006 Xiyuan Avenue, West Hi-Tech Zone, 611731, Chengdu, China..
| | - Changjian Qiu
- Mental Health Center, West China Hospital of Sichuan University, 28 Dianxin Street, Chengdu, China.
| | - Su Lui
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan, China.
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11
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Qian H, Liu X, Guo Z, Wang G, Chen X, Liu J. Alterations in Resting-State Interhemispheric Coordination With Refractory Auditory Verbal Hallucinations in Schizophrenia. J Neuropsychiatry Clin Neurosci 2023; 35:385-392. [PMID: 37259546 DOI: 10.1176/appi.neuropsych.20220054] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 06/02/2023]
Abstract
OBJECTIVE The purpose of this study was to investigate resting-state interhemispheric functional connectivity in patients with schizophrenia and refractory auditory verbal hallucinations (RAVHs) by using voxel-mirrored homotopic connectivity (VMHC). METHODS Thirty-four patients with schizophrenia and RAVHs (RAVH group), 23 patients with schizophrenia but no auditory verbal hallucinations (non-AVH group), and 28 matched healthy volunteers (healthy control group) were recruited in China. VMHC analyses were used to identify brain areas with significant differences in functional connectivity among the three groups, and correlations between symptom scores and neurological measures were examined. RESULTS VMHC analyses showed aberrant bilateral connectivity between several homotopic brain regions: the RAVH and non-AVH groups showed differences in bilateral connectivity of the superior and middle temporal gyri, and the RAVH and healthy control groups showed differences in bilateral connectivity of the gyrus rectus, inferior frontal gyrus, and putamen. In addition, interhemispheric connectivity of the superior and middle temporal gyri correlated with patients' positive symptom scores. CONCLUSIONS These findings may help to elucidate the pathophysiological mechanisms underlying auditory verbal hallucinations. The results revealed interhemispheric functional dysconnectivity among patients with schizophrenia and suggest that the dysconnectivity of homotopic brain regions may play an important role in the development of auditory verbal hallucinations.
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Affiliation(s)
- Huichang Qian
- School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, China (Qian, J. Liu); Department of Radiology, Second Affiliated Hospital and Yuying Children's Hospital, Wenzhou Medical University, Wenzhou, China (X. Liu); Department of Psychiatry, Tongde Hospital of Zhejiang Province, Hangzhou, China (Guo); and Departments of Radiology (Wang), Psychogeriatrics (Chen), and Science and Education (J. Liu), Hangzhou Seventh People's Hospital, Hangzhou, China
| | - Xiaozheng Liu
- School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, China (Qian, J. Liu); Department of Radiology, Second Affiliated Hospital and Yuying Children's Hospital, Wenzhou Medical University, Wenzhou, China (X. Liu); Department of Psychiatry, Tongde Hospital of Zhejiang Province, Hangzhou, China (Guo); and Departments of Radiology (Wang), Psychogeriatrics (Chen), and Science and Education (J. Liu), Hangzhou Seventh People's Hospital, Hangzhou, China
| | - Zhongwei Guo
- School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, China (Qian, J. Liu); Department of Radiology, Second Affiliated Hospital and Yuying Children's Hospital, Wenzhou Medical University, Wenzhou, China (X. Liu); Department of Psychiatry, Tongde Hospital of Zhejiang Province, Hangzhou, China (Guo); and Departments of Radiology (Wang), Psychogeriatrics (Chen), and Science and Education (J. Liu), Hangzhou Seventh People's Hospital, Hangzhou, China
| | - Guanjun Wang
- School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, China (Qian, J. Liu); Department of Radiology, Second Affiliated Hospital and Yuying Children's Hospital, Wenzhou Medical University, Wenzhou, China (X. Liu); Department of Psychiatry, Tongde Hospital of Zhejiang Province, Hangzhou, China (Guo); and Departments of Radiology (Wang), Psychogeriatrics (Chen), and Science and Education (J. Liu), Hangzhou Seventh People's Hospital, Hangzhou, China
| | - Xiuhong Chen
- School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, China (Qian, J. Liu); Department of Radiology, Second Affiliated Hospital and Yuying Children's Hospital, Wenzhou Medical University, Wenzhou, China (X. Liu); Department of Psychiatry, Tongde Hospital of Zhejiang Province, Hangzhou, China (Guo); and Departments of Radiology (Wang), Psychogeriatrics (Chen), and Science and Education (J. Liu), Hangzhou Seventh People's Hospital, Hangzhou, China
| | - Jian Liu
- School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, China (Qian, J. Liu); Department of Radiology, Second Affiliated Hospital and Yuying Children's Hospital, Wenzhou Medical University, Wenzhou, China (X. Liu); Department of Psychiatry, Tongde Hospital of Zhejiang Province, Hangzhou, China (Guo); and Departments of Radiology (Wang), Psychogeriatrics (Chen), and Science and Education (J. Liu), Hangzhou Seventh People's Hospital, Hangzhou, China
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12
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Raizman R, Itzhaki N, Sirkin J, Meningher I, Tsarfaty G, Keren O, Zibli Z, Silberg T, Pick CG, Livny A. Decreased homotopic functional connectivity in traumatic brain injury. Cereb Cortex 2023; 33:1207-1216. [PMID: 35353131 DOI: 10.1093/cercor/bhac130] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2021] [Revised: 03/01/2022] [Accepted: 03/02/2022] [Indexed: 11/12/2022] Open
Abstract
INTRODUCTION Homotopic functional connectivity (HoFC), the synchrony in activity patterns between homologous brain regions, is a fundamental characteristic of resting-state functional connectivity (RsFC). METHODS We examined the difference in HoFC, computed as the correlation between atlas-based regions and their counterpart on the opposite hemisphere, in 16 moderate-severe traumatic brain injury patients (msTBI) and 36 healthy controls. Regions of decreased HoFC in msTBI patients were further used as seeds for examining differences between groups in correlations with other brain regions. Finally, we computed logistic regression models of regional HoFC and fractional anisotropy (FA) of the corpus callosum (CC). RESULTS TBI patients exhibited decreased HoFC in the middle and posterior cingulate cortex, thalamus, superior temporal pole, and cerebellum III. Furthermore, decreased RsFC was found between left cerebellum III and right parahippocampal cortex and vermis, between superior temporal pole and left caudate and medial left and right frontal orbital gyri. Thalamic HoFC and FA of the CC discriminate patients as msTBI with a high accuracy of 96%. CONCLUSION TBI is associated with regionally decreased HoFC. Moreover, a multimodality model of interhemispheric connectivity allowed for a high degree of accuracy in disease discrimination and enabled a deeper understanding of TBI effects on brain interhemispheric reorganization post-TBI.
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Affiliation(s)
- Reut Raizman
- Division of Diagnostic Imaging, Sheba Medical Center, 5262000 Tel-Hashomer, Israel.,Department of Anatomy and Anthropology, Sackler Faculty of Medicine, Tel-Aviv University, 69979 Tel-Aviv, Israel
| | - Nofar Itzhaki
- Division of Diagnostic Imaging, Sheba Medical Center, 5262000 Tel-Hashomer, Israel
| | - Johanna Sirkin
- Department of Psychology, Reichman University, Herzelia, Israel
| | - Inbar Meningher
- Division of Diagnostic Imaging, Sheba Medical Center, 5262000 Tel-Hashomer, Israel
| | - Galia Tsarfaty
- Division of Diagnostic Imaging, Sheba Medical Center, 5262000 Tel-Hashomer, Israel.,Department of imaging, Sackler Faculty of Medicine, Tel-Aviv University, 69979 Tel-Aviv, Israel
| | - Ofer Keren
- Department of Brain Injury Rehabilitation, Sheba Medical Center, 5262000 Tel-Hashomer, Israel
| | - Zion Zibli
- Department of Neurosurgery, Sheba Medical Center, Tel Hashomer, Sackler Faculty of Medicine, Tel Aviv University, 69979 Ramat Gan, Israel
| | - Tamar Silberg
- Edmond and Lily Safra Children's Hospital, Sheba Medical Center, Ramat Gan, Israel.,Department of Psychology, Bar Ilan University, 5290002 Ramat Gan, Israel
| | - Chaim G Pick
- Department of Anatomy and Anthropology, Sackler Faculty of Medicine, Tel-Aviv University, 69979 Tel-Aviv, Israel.,Sagol School of Neuroscience, Tel Aviv University, 69979 Tel Aviv, Israel.,The Dr. Miriam and Sheldon G. Adelson, Chair and Center for the Biology of Addictive Diseases, Tel-Aviv University, 69979 Tel-Aviv, Israel.,Sylvan Adams Sports Institute, Tel Aviv University, 69979 Tel Aviv, Israel
| | - Abigail Livny
- Division of Diagnostic Imaging, Sheba Medical Center, 5262000 Tel-Hashomer, Israel.,Department of imaging, Sackler Faculty of Medicine, Tel-Aviv University, 69979 Tel-Aviv, Israel.,Sagol School of Neuroscience, Tel Aviv University, 69979 Tel Aviv, Israel
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13
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Song K, Lv YL, Yang LJ, Lv P, Ren B, Tian J, Wei DQ, Li H, Shao Y. Alternations of interhemispheric functional connectivity in patients with optic neuritis using voxel-mirrored homotopic connectivity: A resting state fMRI study. Brain Imaging Behav 2023; 17:1-10. [PMID: 36437427 DOI: 10.1007/s11682-022-00719-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/21/2022] [Indexed: 11/29/2022]
Abstract
BACKGROUND AND PURPOSE We used the voxel-mirrored homotopic connectivity (VMHC) method to investigate brain interhemispheric functional connectivity changes in patients with optic neuritis (ON). METHODS A total of 22 ON patients and 22 healthy controls (HCs) closely matched in age, sex, and weight were enrolled. All participants underwent resting-state functional magnetic resonance imaging (rs-fMRI). Functional interaction between the hemispheres was assessed with the VMHC method. Correlation analysis was applied to explore the association between altered VMHC values in different brain areas and cognitive features. Receiver operating characteristic (ROC) curve analysis was applied to distinguish ON patients from HCs. RESULTS Compared with HCs, ON patients had obviously reduced VMHC values in the right superior temporal gyrus, left margin superior gyrus, right superior motor cortex, and left middle cingulate gyrus. a negative relationship between best-corrected visual acuity and VMHC values in left margin superior gyrus was found, besides, the VMHC values within the right superior motor cortex and the right superior temporal gyrus were also anti-correlated with the Hamilton Depression Scales. The ROC curve displayed high diagnostic values in those altered regions. CONCLUSION Abnormal VMHC values may reflect the underlying neuropathologic mechanism of ON.
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Affiliation(s)
- Ke Song
- Scientific Research Department, Xi'an People's Hospital (Xi'an Fourth Hospital), 710004, Xi'an, Shaanxi Province, China
| | - Ya-Li Lv
- Department of Neurology, Xi'an People's Hospital (Xi'an Fourth Hospital), 710004, Xi'an, Shaanxi Province, China
| | - Li-Juan Yang
- Department of Radiology, Xi'an People's Hospital (Xi'an Fourth Hospital), 710004, Xi'an, Shaanxi Province, China
| | - Peng Lv
- Department of Radiology, Xi'an People's Hospital (Xi'an Fourth Hospital), 710004, Xi'an, Shaanxi Province, China
| | - Bo Ren
- Department of Radiology, Xi'an People's Hospital (Xi'an Fourth Hospital), 710004, Xi'an, Shaanxi Province, China
| | - Jun Tian
- Department of Radiology, Xi'an People's Hospital (Xi'an Fourth Hospital), 710004, Xi'an, Shaanxi Province, China
| | - Dao-Qing Wei
- Department of Radiology, Xi'an People's Hospital (Xi'an Fourth Hospital), 710004, Xi'an, Shaanxi Province, China
| | - Huan Li
- Department of Obstetrics, Xi'an People's Hospital (Xi'an Fourth Hospital), 710004, Xi'an, Shaanxi Province, China.
| | - Yi Shao
- Department of ophthalmology , The First Affiliated Hospital of Nanchang University, 330006, Nanchang, Shaanxi Province, China.
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14
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Du X, Hare S, Summerfelt A, Adhikari BM, Garcia L, Marshall W, Zan P, Kvarta M, Goldwaser E, Bruce H, Gao S, Sampath H, Kochunov P, Simon JZ, Hong LE. Cortical connectomic mediations on gamma band synchronization in schizophrenia. Transl Psychiatry 2023; 13:13. [PMID: 36653335 PMCID: PMC9849210 DOI: 10.1038/s41398-022-02300-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/12/2019] [Revised: 12/07/2022] [Accepted: 12/22/2022] [Indexed: 01/20/2023] Open
Abstract
Aberrant gamma frequency neural oscillations in schizophrenia have been well demonstrated using auditory steady-state responses (ASSR). However, the neural circuits underlying 40 Hz ASSR deficits in schizophrenia remain poorly understood. Sixty-six patients with schizophrenia spectrum disorders and 85 age- and gender-matched healthy controls completed one electroencephalography session measuring 40 Hz ASSR and one imaging session for resting-state functional connectivity (rsFC) assessments. The associations between the normalized power of 40 Hz ASSR and rsFC were assessed via linear regression and mediation models. We found that rsFC among auditory, precentral, postcentral, and prefrontal cortices were positively associated with 40 Hz ASSR in patients and controls separately and in the combined sample. The mediation analysis further confirmed that the deficit of gamma band ASSR in schizophrenia was nearly fully mediated by three of the rsFC circuits between right superior temporal gyrus-left medial prefrontal cortex (MPFC), left MPFC-left postcentral gyrus (PoG), and left precentral gyrus-right PoG. Gamma-band ASSR deficits in schizophrenia may be associated with deficient circuitry level connectivity to support gamma frequency synchronization. Correcting gamma band deficits in schizophrenia may require corrective interventions to normalize these aberrant networks.
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Affiliation(s)
- Xiaoming Du
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, USA.
| | - Stephanie Hare
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Ann Summerfelt
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Bhim M Adhikari
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Laura Garcia
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Wyatt Marshall
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Peng Zan
- Department of Electrical & Computer Engineering, University of Maryland, College Park, MD, USA
| | - Mark Kvarta
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Eric Goldwaser
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Heather Bruce
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Si Gao
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Hemalatha Sampath
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Peter Kochunov
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Jonathan Z Simon
- Department of Electrical & Computer Engineering, University of Maryland, College Park, MD, USA
- Department of Biology, University of Maryland, College Park, MD, USA
- Institute for Systems Research, University of Maryland, College Park, MD, USA
| | - L Elliot Hong
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, USA
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15
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Yao S, Kendrick KM. Reduced homotopic interhemispheric connectivity in psychiatric disorders: evidence for both transdiagnostic and disorder specific features. PSYCHORADIOLOGY 2022; 2:129-145. [PMID: 38665271 PMCID: PMC11003433 DOI: 10.1093/psyrad/kkac016] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/26/2022] [Revised: 10/24/2022] [Accepted: 10/28/2022] [Indexed: 04/28/2024]
Abstract
There is considerable interest in the significance of structural and functional connections between the two brain hemispheres in terms of both normal function and in relation to psychiatric disorders. In recent years, many studies have used voxel mirrored homotopic connectivity analysis of resting state data to investigate the importance of connectivity between homotopic regions in the brain hemispheres in a range of neuropsychiatric disorders. The current review summarizes findings from these voxel mirrored homotopic connectivity studies in individuals with autism spectrum disorder, addiction, attention deficit hyperactivity disorder, anxiety and depression disorders, and schizophrenia, as well as disorders such as Alzheimer's disease, mild cognitive impairment, epilepsy, and insomnia. Overall, other than attention deficit hyperactivity disorder, studies across psychiatric disorders report decreased homotopic resting state functional connectivity in the default mode, attention, salience, sensorimotor, social cognition, visual recognition, primary visual processing, and reward networks, which are often associated with symptom severity and/or illness onset/duration. Decreased homotopic resting state functional connectivity may therefore represent a transdiagnostic marker for general psychopathology. In terms of disorder specificity, the extensive decreases in homotopic resting state functional connectivity in autism differ markedly from attention deficit hyperactivity disorder, despite both occurring during early childhood and showing extensive co-morbidity. A pattern of more posterior than anterior regions showing reductions in schizophrenia is also distinctive. Going forward, more studies are needed to elucidate the functions of these homotopic functional connections in both health and disorder and focusing on associations with general psychopathology, and not only on disorder specific symptoms.
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Affiliation(s)
- Shuxia Yao
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, University of Electronic Science and Technology of China, Chengdu 611731, China
| | - Keith M Kendrick
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, University of Electronic Science and Technology of China, Chengdu 611731, China
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16
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Yamada Y, Inagawa T, Hirabayashi N, Sumiyoshi T. Emotion Recognition Deficits in Psychiatric Disorders as a Target of Non-invasive Neuromodulation: A Systematic Review. Clin EEG Neurosci 2022; 53:506-512. [PMID: 33587001 PMCID: PMC9548945 DOI: 10.1177/1550059421991688] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Background. Social cognition deficits are a core feature of psychiatric disorders, such as schizophrenia and mood disorder, and deteriorate the functionality of patients. However, no definite strategy has been established to treat social cognition (eg, emotion recognition) impairments in these illnesses. Here, we provide a systematic review of the literature regarding transcranial direct current stimulation (tDCS) and repetitive transcranial magnetic stimulation (rTMS) for the treatment of social cognition deficits in individuals with psychiatric disorders. Methods. A literature search was conducted on English articles identified by PubMed, PsycINFO, and Web of Science databases, according to the guidelines of the PRISMA statement. We defined the inclusion criteria as follows: (1) randomized controlled trials (RCTs), (2) targeting patients with psychiatric disorders (included in F20-F39 of the 10th revision of the International Statistical Classification of Diseases and Related Health Problems [ICD-10]), (3) evaluating the effect of tDCS or rTMS, (4) reporting at least one standardized social cognition test. Results. Five papers (3 articles on tDCS and 2 articles on rTMS) met the inclusion criteria which deal with schizophrenia or depression. The significant effects of tDCS or rTMS targeting the left dorsolateral prefrontal cortex on the emotion recognition domain were reported in patients with schizophrenia or depression. In addition, rTMS on the right inferior parietal lobe was shown to ameliorate social perception impairments of schizophrenia. Conclusions. tDCS and rTMS may enhance some domains of social cognition in patients with psychiatric disorders. Further research is warranted to identify optimal parameters to maximize the cognitive benefits of these neuromodulation methods.
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Affiliation(s)
- Yuji Yamada
- Department of Psychiatry, National Center Hospital, 26353National Center of Neurology and Psychiatry, Tokyo, Japan
| | - Takuma Inagawa
- Department of Psychiatry, National Center Hospital, 26353National Center of Neurology and Psychiatry, Tokyo, Japan
| | - Naotsugu Hirabayashi
- Department of Psychiatry, National Center Hospital, 26353National Center of Neurology and Psychiatry, Tokyo, Japan
| | - Tomiki Sumiyoshi
- Department of Preventive Intervention, National Institute of Mental Health, 26353National Center of Neurology and Psychiatry, Tokyo, Japan
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17
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Yang G, Zhang S, Zhou Y, Song Y, Hu W, Peng Y, Shi H, Zhang Y. Increased resting-state interhemispheric functional connectivity of striatum in first-episode drug-naive adolescent-onset schizophrenia. Asian J Psychiatr 2022; 76:103134. [PMID: 35551877 DOI: 10.1016/j.ajp.2022.103134] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/19/2021] [Revised: 02/25/2022] [Accepted: 04/20/2022] [Indexed: 11/02/2022]
Abstract
BACKGROUND Compared to adult-onset schizophrenia, relatively few neuroimaging studies have examined functional connectivity (FC) abnormalities in adolescent-onset schizophrenia (AOS). The present study was designed to investigate resting-state interhemispheric connectivity patterns among drug-naive first-episode AOS patients and potential changes following short-term antipsychotic drug treatment. METHODS This study included 107 drug-naïve, first-episode AOS patients (age: 15.33 ± 1.62, 45 males) and 67 matched healthy controls (age: 15.43 ± 1.86, 30 males). All participants underwent resting-state functional magnetic resonance imaging (rs-fMRI) scans, and 34 AOS patients (age: 15.12 ± 1.68, 12 males) also underwent a follow-up scan after 8 weeks of antipsychotic drug treatment. Interhemispheric functional connectivity was measured by voxel-mirrored homotopic connectivity (VMHC). RESULTS Compared to healthy controls, AOS patients showed increased VMHC values in putamen and caudate. No significant differences were observed between the patients at baseline and after 8 weeks of treatment. CONCLUSIONS First-episode, drug-naive AOS patients demonstrate abnormalities in interhemispheric FC, and these are not mitigated by short-term antipsychotic treatment.
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Affiliation(s)
- Ge Yang
- Henan Mental Hospital, the Second Affiliated Hospital of Xinxiang Medical University, Xinxiang 453002, China
| | - Sen Zhang
- Henan Mental Hospital, the Second Affiliated Hospital of Xinxiang Medical University, Xinxiang 453002, China
| | - Youqi Zhou
- Henan Mental Hospital, the Second Affiliated Hospital of Xinxiang Medical University, Xinxiang 453002, China; Henan Key Lab of Biological Psychiatry of Xinxiang Medical University, Xinxiang 453002, China; International Joint Research Laboratory for Psychiatry and Neuroscience of Henan, Xinxiang 453002, China
| | - Yichen Song
- Henan Mental Hospital, the Second Affiliated Hospital of Xinxiang Medical University, Xinxiang 453002, China; Henan Key Lab of Biological Psychiatry of Xinxiang Medical University, Xinxiang 453002, China; International Joint Research Laboratory for Psychiatry and Neuroscience of Henan, Xinxiang 453002, China
| | - Wenyan Hu
- Henan Mental Hospital, the Second Affiliated Hospital of Xinxiang Medical University, Xinxiang 453002, China; Henan Key Lab of Biological Psychiatry of Xinxiang Medical University, Xinxiang 453002, China; International Joint Research Laboratory for Psychiatry and Neuroscience of Henan, Xinxiang 453002, China
| | - Yue Peng
- Henan Mental Hospital, the Second Affiliated Hospital of Xinxiang Medical University, Xinxiang 453002, China; Henan Key Lab of Biological Psychiatry of Xinxiang Medical University, Xinxiang 453002, China; International Joint Research Laboratory for Psychiatry and Neuroscience of Henan, Xinxiang 453002, China
| | - Han Shi
- Henan Mental Hospital, the Second Affiliated Hospital of Xinxiang Medical University, Xinxiang 453002, China; Henan Key Lab of Biological Psychiatry of Xinxiang Medical University, Xinxiang 453002, China; International Joint Research Laboratory for Psychiatry and Neuroscience of Henan, Xinxiang 453002, China
| | - Yan Zhang
- Henan Mental Hospital, the Second Affiliated Hospital of Xinxiang Medical University, Xinxiang 453002, China; Henan Key Lab of Biological Psychiatry of Xinxiang Medical University, Xinxiang 453002, China; International Joint Research Laboratory for Psychiatry and Neuroscience of Henan, Xinxiang 453002, China
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18
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Kuang Y, Wu X, Lai H, Wang Z, Lei Q, Zhong W, Yang Y, Deng C, Zhou Z. Abnormal corpus callosum induced by overt hepatic encephalopathy impairs interhemispheric functional coordination in cirrhosis patients. ANNALS OF TRANSLATIONAL MEDICINE 2021; 9:1579. [PMID: 34790785 PMCID: PMC8576733 DOI: 10.21037/atm-21-5109] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/19/2021] [Accepted: 10/21/2021] [Indexed: 11/06/2022]
Abstract
Background Although overt hepatic encephalopathy (OHE) patients were shown to have bilaterally symmetrical structural and functional abnormalities in the whole brain, few studies have focused on the bilateral cerebral hemisphere commissural fibers and measured functional coordination between bilateral hemispheres. This study aimed to investigate the structural changes of the corpus callosum (CC) and interhemispheric functional coordination in patients with OHE and to test the hypothesis that abnormal CC induced by OHE impairs interhemispheric functional coordination in cirrhosis patients. Methods The microstructural integrity and the volumes of each subregion of the CC were analyzed by diffusion tensor imaging (DTI) and three-dimensional T1-weighted imaging. Voxel-mirrored homotopic connectivity (VMHC) was derived from resting-state functional magnetic resonance imaging (MRI). Results Compared with the healthy controls (HCs) and patients without hepatic encephalopathy (noHE), the OHE group showed decreased volumes in all subregions of the CC. In OHE patients, the decreased fractional anisotropy (FA) of CC-5 correlated with decreased VMHC in the middle occipital gyrus (MOG) and precuneus. The value of FA in CC-5 and the volumes of CC-3, CC-4, and CC-5 showed correlations with neuropsychological performance in patients with OHE. Conclusions These findings suggest that impairment of interhemispheric white matter pathways may disturb the functional connectivity associated with coordination and neurocognitive performance.
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Affiliation(s)
- Yangying Kuang
- Department of Radiology, Chengdu Women's and Children's Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Xiaojia Wu
- Department of Radiology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Hua Lai
- Department of Radiology, Chengdu Women's and Children's Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Zhigang Wang
- Department of Radiology, Chengdu Women's and Children's Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Qiang Lei
- Department of Radiology, Chengdu Women's and Children's Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Weijia Zhong
- Department of Radiology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Ya Yang
- Department of Radiology, Chengdu Women's and Children's Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Chen Deng
- Department of Radiology, Chengdu Women's and Children's Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Zhiming Zhou
- Department of Radiology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China
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Increased Homotopic Connectivity in the Prefrontal Cortex Modulated by Olanzapine Predicts Therapeutic Efficacy in Patients with Schizophrenia. Neural Plast 2021; 2021:9954547. [PMID: 34512748 PMCID: PMC8429031 DOI: 10.1155/2021/9954547] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2021] [Revised: 08/08/2021] [Accepted: 08/18/2021] [Indexed: 11/18/2022] Open
Abstract
Background Previous studies have revealed the abnormalities in homotopic connectivity in schizophrenia. However, the relationship of these deficits to antipsychotic treatment in schizophrenia remains unclear. This study explored the effects of antipsychotic therapy on brain homotopic connectivity and whether the homotopic connectivity of these regions might predict individual treatment response in schizophrenic patients. Methods A total of 21 schizophrenic patients and 20 healthy controls were scanned by the resting-state functional magnetic resonance imaging. The patients received olanzapine treatment and were scanned at two time points. Voxel-mirrored homotopic connectivity (VMHC) and pattern classification techniques were applied to analyze the imaging data. Results Schizophrenic patients presented significantly decreased VMHC in the temporal and inferior frontal gyri, medial prefrontal cortex (MPFC), and motor and low-level sensory processing regions (including the fusiform gyrus and cerebellum lobule VI) relative to healthy controls. The VMHC in the superior/middle MPFC was significantly increased in the patients after eight weeks of treatment. Support vector regression (SVR) analyses revealed that VMHC in the superior/middle MPFC at baseline can predict the symptomatic improvement of the positive and negative syndrome scale after eight weeks of treatment. Conclusions This study demonstrated that olanzapine treatment may normalize decreased homotopic connectivity in the superior/middle MPFC in schizophrenic patients. The VMHC in the superior/middle MPFC may predict individual response for antipsychotic therapy. The findings of this study conduce to the comprehension of the therapy effects of antipsychotic medications on homotopic connectivity in schizophrenia.
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20
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Wang H, Zhou H, Guo Y, Gao L, Xu H. Voxel-Wise Analysis of Structural and Functional MRI for Lateralization of Handedness in College Students. Front Hum Neurosci 2021; 15:687965. [PMID: 34483863 PMCID: PMC8414999 DOI: 10.3389/fnhum.2021.687965] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2021] [Accepted: 07/12/2021] [Indexed: 11/26/2022] Open
Abstract
The brain structural and functional basis of lateralization in handedness is largely unclear. This study aimed to explore this issue by using voxel-mirrored homotopic connectivity (VMHC) measured by resting-state functional MRI (R-fMRI) and gray matter asymmetry index (AI) by high-resolution anatomical images. A total of 50 healthy subjects were included, among them were 13 left-handers, 24 right-handers, and 13 mixed-handers. Structural and R-fMRI data of all subjects were collected. There were significant differences in VMHC among the three groups in lateral temporal-occipital, orbitofrontal, and primary hand motor regions. Meanwhile, there were significant differences in AI that existed in medial prefrontal, superior frontal, and superior temporal regions. Besides, the correlation analysis showed that the closer the handedness score to the extreme of the left-handedness (LH), the stronger the interhemispheric functional connectivity, as well as more leftward gray matter. In general, left/mixed-handedness (MH) showed stronger functional homotopy in the transmodal association regions that depend on the integrity of the corpus callosum, but more variable in primary sensorimotor cortices. Furthermore, the group differences in VMHC largely align with that in AI. We located the specific regions for LH/MH from the perspective of structural specification and functional integration, suggesting the plasticity of hand movement and different patterns of emotional processing.
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Affiliation(s)
- Haha Wang
- Department of Radiology, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Hong Zhou
- Department of Radiology, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Yihao Guo
- Siemens MR Collaboration, Siemens Healthcare, Guangzhou, China
| | - Lei Gao
- Department of Radiology, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Haibo Xu
- Department of Radiology, Zhongnan Hospital of Wuhan University, Wuhan, China
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21
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Zhao J, Manza P, Gu J, Song H, Zhuang P, Shi F, Dong Z, Lu C, Wang GJ, He D. Contrasting dorsal caudate functional connectivity patterns between frontal and temporal cortex with BMI increase: link to cognitive flexibility. Int J Obes (Lond) 2021; 45:2608-2616. [PMID: 34433905 DOI: 10.1038/s41366-021-00929-9] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/26/2021] [Revised: 07/09/2021] [Accepted: 07/26/2021] [Indexed: 11/10/2022]
Abstract
BACKGROUND Obesity is associated with brain intrinsic functional reorganization. However, little is known about the BMI-related interhemispheric functional connectivity (IHFC) alterations, and their link with executive function in young healthy adults. METHODS We examined voxel-mirrored homotopic connectivity (VMHC) patterns in 417 young adults from the Human Connectome Project. Brain regions with significant association between BMI and VMHC were identified using multiple linear regression. Results from these analyses were then used to determine regions for seed-voxel FC analysis, and multiple linear regression was used to explore the brain regions showing significant association between BMI and FC. The correlations between BMI-related executive function measurements and VMHC, as well as seed-voxel FC, were further examined. RESULTS BMI was negatively associated with scores of Dimensional Change Card Sort Test (DCST) assessing cognitive flexibility (r = -0.14, p = 0.006) and with VMHC of bilateral inferior parietal lobule, insula and dorsal caudate. The dorsal caudate emerged as a nexus for BMI-related findings: greater BMI was associated with greater FC between caudate and hippocampus and lower FC between caudate and several prefrontal nodes (right inferior frontal gyrus, anterior cingulate cortex, and middle frontal gyrus). The FC between right caudate and left hippocampus was negatively associated with scores of DCST (r = -0.15, p = 0.0018). CONCLUSIONS Higher BMI is associated with poorer cognitive flexibility performance and IHFC in an extensive set of brain regions implicated in cognitive control. Larger BMI was associated with higher caudate-medial temporal lobe FC and lower caudate-dorsolateral prefrontal cortex FC. These findings may have relevance for executive function associated with weight gain among otherwise healthy young adults.
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Affiliation(s)
- Jizheng Zhao
- College of Mechanical and Electronic Engineering, Northwest A&F University, Yangling, Shaanxi, China. .,Key Laboratory of Agricultural Internet of Things, Ministry of Agriculture, Yangling, Shaanxi, China. .,Shaanxi Key Laboratory of Agricultural Information Perception and Intelligent Service, Yangling, Shaanxi, China.
| | - Peter Manza
- Laboratory of Neuroimaging, National Institute on Alcohol Abuse and Alcoholism, Bethesda, MD, USA
| | - Jun Gu
- Department of Endocrinology, The First Affiliated Hospital of Hebei Northern University, Zhangjiakou, Hebei, China
| | - Huaibo Song
- College of Mechanical and Electronic Engineering, Northwest A&F University, Yangling, Shaanxi, China.,Key Laboratory of Agricultural Internet of Things, Ministry of Agriculture, Yangling, Shaanxi, China.,Shaanxi Key Laboratory of Agricultural Information Perception and Intelligent Service, Yangling, Shaanxi, China
| | - Puning Zhuang
- College of Mechanical and Electronic Engineering, Northwest A&F University, Yangling, Shaanxi, China.,Key Laboratory of Agricultural Internet of Things, Ministry of Agriculture, Yangling, Shaanxi, China.,Shaanxi Key Laboratory of Agricultural Information Perception and Intelligent Service, Yangling, Shaanxi, China
| | - Fulei Shi
- College of Mechanical and Electronic Engineering, Northwest A&F University, Yangling, Shaanxi, China.,Key Laboratory of Agricultural Internet of Things, Ministry of Agriculture, Yangling, Shaanxi, China.,Shaanxi Key Laboratory of Agricultural Information Perception and Intelligent Service, Yangling, Shaanxi, China
| | - Zhengqi Dong
- College of Mechanical and Electronic Engineering, Northwest A&F University, Yangling, Shaanxi, China.,Key Laboratory of Agricultural Internet of Things, Ministry of Agriculture, Yangling, Shaanxi, China.,Shaanxi Key Laboratory of Agricultural Information Perception and Intelligent Service, Yangling, Shaanxi, China
| | - Cheng Lu
- College of Mechanical and Electronic Engineering, Northwest A&F University, Yangling, Shaanxi, China.,Key Laboratory of Agricultural Internet of Things, Ministry of Agriculture, Yangling, Shaanxi, China.,Shaanxi Key Laboratory of Agricultural Information Perception and Intelligent Service, Yangling, Shaanxi, China
| | - Gene-Jack Wang
- Laboratory of Neuroimaging, National Institute on Alcohol Abuse and Alcoholism, Bethesda, MD, USA.
| | - Dongjian He
- College of Mechanical and Electronic Engineering, Northwest A&F University, Yangling, Shaanxi, China. .,Key Laboratory of Agricultural Internet of Things, Ministry of Agriculture, Yangling, Shaanxi, China. .,Shaanxi Key Laboratory of Agricultural Information Perception and Intelligent Service, Yangling, Shaanxi, China.
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22
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Cuesta MJ, Lecumberri P, Moreno-Izco L, López-Ilundain JM, Ribeiro M, Cabada T, Lorente-Omeñaca R, de Erausquin G, García-Martí G, Sanjuan J, Sánchez-Torres AM, Gómez M, Peralta V. Motor abnormalities and basal ganglia in first-episode psychosis (FEP). Psychol Med 2021; 51:1625-1636. [PMID: 32114994 DOI: 10.1017/s0033291720000343] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
BACKGROUND Motor abnormalities (MAs) are the primary manifestations of schizophrenia. However, the extent to which MAs are related to alterations of subcortical structures remains understudied. METHODS We aimed to investigate the associations of MAs and basal ganglia abnormalities in first-episode psychosis (FEP) and healthy controls. Magnetic resonance imaging was performed on 48 right-handed FEP and 23 age-, gender-, handedness-, and educational attainment-matched controls, to obtain basal ganglia shape analysis, diffusion tensor imaging techniques (fractional anisotropy and mean diffusivity), and relaxometry (R2*) to estimate iron load. A comprehensive motor battery was applied including the assessment of parkinsonism, catatonic signs, and neurological soft signs (NSS). A fully automated model-based segmentation algorithm on 1.5T MRI anatomical images and accurate corregistration of diffusion and T2* volumes and R2* was used. RESULTS FEP patients showed significant local atrophic changes in left globus pallidus nucleus regarding controls. Hypertrophic changes in left-side caudate were associated with higher scores in sensory integration, and in right accumbens with tremor subscale. FEP patients showed lower fractional anisotropy measures than controls but no significant differences regarding mean diffusivity and iron load of basal ganglia. However, iron load in left basal ganglia and right accumbens correlated significantly with higher extrapyramidal and motor coordination signs in FEP patients. CONCLUSIONS Taken together, iron load in left basal ganglia may have a role in the emergence of extrapyramidal signs and NSS of FEP patients and in consequence in the pathophysiology of psychosis.
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Affiliation(s)
- Manuel J Cuesta
- Department of Psychiatry, Complejo Hospitalario de Navarra, Pamplona, Spain
- IdiSNA, Navarra Institute for Health Research, Pamplona, Spain
| | - Pablo Lecumberri
- IdiSNA, Navarra Institute for Health Research, Pamplona, Spain
- Movalsys S. L., NavarraBiomed, Pamplona, Spain
| | - Lucia Moreno-Izco
- Department of Psychiatry, Complejo Hospitalario de Navarra, Pamplona, Spain
- IdiSNA, Navarra Institute for Health Research, Pamplona, Spain
| | - Jose M López-Ilundain
- Department of Psychiatry, Complejo Hospitalario de Navarra, Pamplona, Spain
- IdiSNA, Navarra Institute for Health Research, Pamplona, Spain
| | - María Ribeiro
- Department of Psychiatry, Complejo Hospitalario de Navarra, Pamplona, Spain
- IdiSNA, Navarra Institute for Health Research, Pamplona, Spain
| | - Teresa Cabada
- IdiSNA, Navarra Institute for Health Research, Pamplona, Spain
- Department of Neuroradiology, Complejo Hospitalario de Navarra, Pamplona, Spain
| | - Ruth Lorente-Omeñaca
- Department of Psychiatry, Complejo Hospitalario de Navarra, Pamplona, Spain
- IdiSNA, Navarra Institute for Health Research, Pamplona, Spain
| | - Gabriel de Erausquin
- Zachry Foundation, The Glenn Biggs Institute of Alzheimer's & Neurodegenerative Disorders, UT Heath San Antonio, Texas, USA
| | - Gracian García-Martí
- Radiology Department, CIBERSAM, Valencia, España, Quirón Salud Hospital, Valencia, España
| | - Julio Sanjuan
- Research Institute of Clinic University Hospital of Valencia (INCLIVA), Valencia, Spain
- CIBERSAM, Biomedical Research Network on Mental Health Area, Madrid, Spain
- Department of Psychiatric, University of Valencia School of Medicine, Valencia, Spain
| | - Ana M Sánchez-Torres
- Department of Psychiatry, Complejo Hospitalario de Navarra, Pamplona, Spain
- IdiSNA, Navarra Institute for Health Research, Pamplona, Spain
| | - Marisol Gómez
- IdiSNA, Navarra Institute for Health Research, Pamplona, Spain
- Movalsys S. L., NavarraBiomed, Pamplona, Spain
- Department of Statistics, Computer Science and Mathematics, Universidad Pública de Navarra (UPNA), Pamplona, Spain
| | - Victor Peralta
- IdiSNA, Navarra Institute for Health Research, Pamplona, Spain
- Mental Health Department, Servicio Navarro de Salud, Pamplona, Spain
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Tik N, Livny A, Gal S, Gigi K, Tsarfaty G, Weiser M, Tavor I. Predicting individual variability in task-evoked brain activity in schizophrenia. Hum Brain Mapp 2021; 42:3983-3992. [PMID: 34021674 PMCID: PMC8288090 DOI: 10.1002/hbm.25534] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2021] [Revised: 04/25/2021] [Accepted: 05/02/2021] [Indexed: 12/13/2022] Open
Abstract
What goes wrong in a schizophrenia patient's brain that makes it so different from a healthy brain? In this study, we tested the hypothesis that the abnormal brain activity in schizophrenia is tightly related to alterations in brain connectivity. Using functional magnetic resonance imaging (fMRI), we demonstrated that both resting‐state functional connectivity and brain activity during the well‐validated N‐back task differed significantly between schizophrenia patients and healthy controls. Nevertheless, using a machine‐learning approach we were able to use resting‐state functional connectivity measures extracted from healthy controls to accurately predict individual variability in the task‐evoked brain activation in the schizophrenia patients. The predictions were highly accurate, sensitive, and specific, offering novel insights regarding the strong coupling between brain connectivity and activity in schizophrenia. On a practical perspective, these findings may allow to generate task activity maps for clinical populations without the need to actually perform any tasks, thereby reducing patients inconvenience while saving time and money.
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Affiliation(s)
- Niv Tik
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.,Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel
| | - Abigail Livny
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.,Division of Diagnostic Imaging, Sheba Medical Center, Tel-Hashomer, Israel.,Joseph Sagol Neuroscience Center, Sheba Medical Center, Tel-Hashomer, Israel
| | - Shachar Gal
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.,Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel
| | - Karny Gigi
- Department of Psychiatry, Sheba Medical Center, Tel-Hashomer, Israel
| | - Galia Tsarfaty
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.,Division of Diagnostic Imaging, Sheba Medical Center, Tel-Hashomer, Israel
| | - Mark Weiser
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.,Department of Psychiatry, Sheba Medical Center, Tel-Hashomer, Israel
| | - Ido Tavor
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.,Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel.,Strauss Center for Computational Neuroimaging, Tel Aviv University, Tel Aviv, Israel
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24
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Shared and distinct homotopic connectivity changes in melancholic and non-melancholic depression. J Affect Disord 2021; 287:268-275. [PMID: 33799047 DOI: 10.1016/j.jad.2021.03.038] [Citation(s) in RCA: 35] [Impact Index Per Article: 11.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/05/2020] [Revised: 03/10/2021] [Accepted: 03/15/2021] [Indexed: 11/21/2022]
Abstract
OBJECTIVE Previous studies have revealed different neuroimaging features between melancholic and non-melancholic major depressive disorder (MDD). However, homotopic connectivity of melancholic and non-melancholic MDD remains unknown. The present study aimed to explore common and distinct homotopic connectivity patterns of melancholic and non-melancholic MDD and their associations with clinical characteristics. METHODS Sixty-four patients with MDD and thirty-two healthy controls were scanned by resting-state functional magnetic resonance imaging (fMRI). Voxel-mirrored homotopic connectivity (VMHC) and pattern classification were applied to analyze the imaging data. RESULTS Relative to healthy controls, melancholic patients displayed decreased VMHC in the fusiform gyrus, posterior cingulate cortex (PCC), superior occipital gyrus (SOG), postcentral gyrus and precentral/postcentral gyrus, and non-melancholic patients displayed decreased VMHC in the PCC. Compared with non-melancholic patients, melancholic patients displayed reduced VMHC in the precentral gyrus and precentral/postcentral gyrus. Support vector machine (SVM) results exhibited VMHC in the precentral gyrus could distinguish melancholic patients from non-melancholic patients with more than 0.6 for specificity, sensitivity and accuracy. CONCLUSION The study demonstrated common and distinct homotopic connectivity patterns in melancholic and non-melancholic patients. Decreased VMHC in the PCC may be a state-related change for depression, and reduced VMHC in the precentral gyrus and postcentral gyrus may be a distinctive neurobiological feature for melancholic MDD. VMHC in precentral gyrus might be served as potential imaging markers to discriminate melancholic patients from non-melancholic MDD.
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25
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Tao B, Xiao Y, Yang B, Zeng J, Zhang W, Hu N, Yang C, Lencer R, Gong Q, Sweeney JA, Lui S. Morphological alterations of the corpus callosum in antipsychotic-naive first-episode schizophrenia before and 1-year after treatment. Schizophr Res 2021; 231:115-121. [PMID: 33839369 DOI: 10.1016/j.schres.2021.03.015] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/12/2020] [Revised: 03/28/2021] [Accepted: 03/28/2021] [Indexed: 02/05/2023]
Abstract
OBJECTIVE The corpus callosum (CC) is known to be altered in patients with schizophrenia. However, its morphologic characteristics are less well studied in treatment-naive first-episode schizophrenia patients, as is the effect of antipsychotic treatment on this structure. METHODS T-1 weighted MRI scans were obtained from 160 antipsychotic-naïve first-episode schizophrenia patients (AN-FES) and 155 healthy controls (HCs) before treatment initiation. Among the patients, forty-four were available for follow-up studies after one year of antipsychotic treatment, and were divided into good-outcome (n = 31) and poor-outcome subgroups (n = 13) based on whether there was a 50% reduction in Positive and Negative Symptom Scale (PANSS) total scores from baseline. A computer algorithm was applied to automatically identify the mid-sagittal plane (MSP) and obtain morphological measurement parameters of the CC. RESULTS Compared with HCs, AN-FES patients showed a significant reduction of thickness in the posterior midbody of the CC. This deficit was correlated with severity of negative symptoms. After one year of antipsychotic treatment, there was no significant change in CC morphological measurements in schizophrenia patients, nor was there a significant difference of CC morphological measurements between good-outcome and poor-outcome subgroups at baseline or at 1-year follow-up. CONCLUSION Thickness of the posterior midbody of the CC is reduced in the early course of schizophrenia before treatment. This alteration was not affected by antipsychotic treatment and was unrelated to treatment outcome at 1-year.
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Affiliation(s)
- Bo Tao
- Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, Department of Radiology, West China Hospital, Sichuan University, Chengdu, China
| | - Yuan Xiao
- Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, Department of Radiology, West China Hospital, Sichuan University, Chengdu, China
| | - Beisheng Yang
- Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, Department of Radiology, West China Hospital, Sichuan University, Chengdu, China
| | - Jiaxin Zeng
- Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, Department of Radiology, West China Hospital, Sichuan University, Chengdu, China
| | - Wenjing Zhang
- Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, Department of Radiology, West China Hospital, Sichuan University, Chengdu, China
| | - Na Hu
- Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, Department of Radiology, West China Hospital, Sichuan University, Chengdu, China
| | - Chengmin Yang
- Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, Department of Radiology, West China Hospital, Sichuan University, Chengdu, China
| | - Rebekka Lencer
- Department of Psychiatry and Psychotherapy, University of Lübeck, Lübeck, Germany
| | - Qiyong Gong
- Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, Department of Radiology, West China Hospital, Sichuan University, Chengdu, China
| | - John A Sweeney
- Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, Department of Radiology, West China Hospital, Sichuan University, Chengdu, China; Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati, Cincinnati, OH, United States
| | - Su Lui
- Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, Department of Radiology, West China Hospital, Sichuan University, Chengdu, China.
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26
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Jin Z, Huyang S, Jiang L, Yan Y, Xu M, Wang J, Li Q, Wu D. Increased Resting-State Interhemispheric Functional Connectivity of Posterior Superior Temporal Gyrus and Posterior Cingulate Cortex in Congenital Amusia. Front Neurosci 2021; 15:653325. [PMID: 33994929 PMCID: PMC8120159 DOI: 10.3389/fnins.2021.653325] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2021] [Accepted: 04/06/2021] [Indexed: 11/26/2022] Open
Abstract
Interhemispheric connectivity of the two cerebral hemispheres is crucial for a broad repertoire of cognitive functions including music and language. Congenital amusia has been reported as a neurodevelopment disorder characterized by impaired music perception and production. However, little is known about the characteristics of the interhemispheric functional connectivity (FC) in amusia. In the present study, we used a newly developed voxel-mirrored homotopic connectivity (VMHC) method to investigate the interhemispheric FC of the whole brain in amusia at resting-state. Thirty amusics and 29 matched participants underwent a resting-state functional magnetic resonance imaging (fMRI) scanning. An automated VMHC approach was used to analyze the fMRI data. Compared to the control group, amusics showed increased VMHC within the posterior part of the default mode network (DMN) mainly in the posterior superior temporal gyrus (pSTG) and posterior cingulate cortex (PCC). Correlation analyses revealed negative correlations between the VMHC value in pSTG/PCC and the music perception ability among amusics. Further ROC analyses showed that the VMHC value of pSTG/PCC showed a good sensibility/specificity to differentiate the amusics from the controls. These findings provide a new perspective for understanding the neural basis of congenital amusia and imply the immature state of DMN may be a credible neural marker of amusia.
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Affiliation(s)
- Zhishuai Jin
- Medical Psychological Center, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Sizhu Huyang
- Medical Psychological Center, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Lichen Jiang
- Medical Psychological Center, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Yajun Yan
- Medical Psychological Center, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Ming Xu
- Medical Psychological Center, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Jinyu Wang
- Medical Psychological Center, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Qixiong Li
- Medical Psychological Center, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Daxing Wu
- Medical Psychological Center, The Second Xiangya Hospital, Central South University, Changsha, China.,Medical Psychological Institute, Central South University, Changsha, China.,National Clinical Research Center for Mental Disorders, Changsha, China
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27
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Liloia D, Brasso C, Cauda F, Mancuso L, Nani A, Manuello J, Costa T, Duca S, Rocca P. Updating and characterizing neuroanatomical markers in high-risk subjects, recently diagnosed and chronic patients with schizophrenia: A revised coordinate-based meta-analysis. Neurosci Biobehav Rev 2021; 123:83-103. [PMID: 33497790 DOI: 10.1016/j.neubiorev.2021.01.010] [Citation(s) in RCA: 28] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2020] [Revised: 01/07/2021] [Accepted: 01/15/2021] [Indexed: 01/10/2023]
Abstract
Characterizing neuroanatomical markers of different stages of schizophrenia (SZ) to assess pathophysiological models of how the disorder develops is an important target for the clinical practice. We performed a meta-analysis of voxel-based morphometry studies of genetic and clinical high-risk subjects (g-/c-HR), recently diagnosed (RDSZ) and chronic SZ patients (ChSZ). We quantified gray matter (GM) changes associated with these four conditions and compared them with contrast and conjunctional data. We performed the behavioral analysis and networks decomposition of alterations to obtain their functional characterization. Results reveal a cortical-subcortical, left-to-right homotopic progression of GM loss. The right anterior cingulate is the only altered region found altered among c-HR, RDSZ and ChSZ. Contrast analyses show left-lateralized insular, amygdalar and parahippocampal GM reduction in RDSZ, which appears bilateral in ChSZ. Functional decomposition shows involvement of the salience network, with an enlargement of the sensorimotor network in RDSZ and the thalamus-basal nuclei network in ChSZ. These findings support the current neuroprogressive models of SZ and integrate this deterioration with the clinical evolution of the disease.
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Affiliation(s)
- Donato Liloia
- GCS-fMRI, Koelliker Hospital and Department of Psychology, University of Turin, Turin, Italy; Functional Neuroimaging and Complex Neural Systems (FOCUS) Laboratory, Department of Psychology, University of Turin, Turin, Italy.
| | - Claudio Brasso
- Department of Neuroscience "Rita Levi Montalcini", University of Turin, Turin, Italy.
| | - Franco Cauda
- GCS-fMRI, Koelliker Hospital and Department of Psychology, University of Turin, Turin, Italy; Functional Neuroimaging and Complex Neural Systems (FOCUS) Laboratory, Department of Psychology, University of Turin, Turin, Italy; Neuroscience Institute of Turin (NIT), University of Turin, Turin, Italy.
| | - Lorenzo Mancuso
- GCS-fMRI, Koelliker Hospital and Department of Psychology, University of Turin, Turin, Italy; Functional Neuroimaging and Complex Neural Systems (FOCUS) Laboratory, Department of Psychology, University of Turin, Turin, Italy.
| | - Andrea Nani
- GCS-fMRI, Koelliker Hospital and Department of Psychology, University of Turin, Turin, Italy; Functional Neuroimaging and Complex Neural Systems (FOCUS) Laboratory, Department of Psychology, University of Turin, Turin, Italy.
| | - Jordi Manuello
- GCS-fMRI, Koelliker Hospital and Department of Psychology, University of Turin, Turin, Italy; Functional Neuroimaging and Complex Neural Systems (FOCUS) Laboratory, Department of Psychology, University of Turin, Turin, Italy.
| | - Tommaso Costa
- GCS-fMRI, Koelliker Hospital and Department of Psychology, University of Turin, Turin, Italy; Functional Neuroimaging and Complex Neural Systems (FOCUS) Laboratory, Department of Psychology, University of Turin, Turin, Italy; Neuroscience Institute of Turin (NIT), University of Turin, Turin, Italy.
| | - Sergio Duca
- GCS-fMRI, Koelliker Hospital and Department of Psychology, University of Turin, Turin, Italy; Functional Neuroimaging and Complex Neural Systems (FOCUS) Laboratory, Department of Psychology, University of Turin, Turin, Italy.
| | - Paola Rocca
- Department of Neuroscience "Rita Levi Montalcini", University of Turin, Turin, Italy; Neuroscience Institute of Turin (NIT), University of Turin, Turin, Italy.
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28
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Clark SV, Tannahill A, Calhoun VD, Bernard JA, Bustillo J, Turner JA. Weaker Cerebellocortical Connectivity Within Sensorimotor and Executive Networks in Schizophrenia Compared to Healthy Controls: Relationships with Processing Speed. Brain Connect 2020; 10:490-503. [PMID: 32893675 PMCID: PMC7699013 DOI: 10.1089/brain.2020.0792] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Background: The cognitive dysmetria theory of schizophrenia proposes that communication between the cerebellum and cerebral cortex is disrupted by structural and functional abnormalities, resulting in psychotic symptoms and cognitive deficits. Methods: Using publicly available data, resting-state functional connectivity (rsFC) was calculated from 20 hemispheric cerebellar lobules as seed regions of interest to the rest of the brain. Group differences in rsFC between individuals with schizophrenia (SZ) and healthy controls (HCs) were computed, and relationships between rsFC and symptom severity and cognitive functioning were explored. Results: HCs demonstrated stronger connectivity than SZ between several cerebellar lobules and cortical regions, most robustly between motor-related cerebellar lobules (V and VIIIa/b) and temporal and parietal cortices. In addition, seven of nine lobules in which reduced cerebellocortical connectivity was observed showed diagnosis × processing speed interactions; HC showed a positive relationship between connectivity and processing speed, whereas SZ did not show this relationship. Other cognitive domains and symptom severity did not show relationships with connectivity. Conclusions: These findings partially support the cognitive dysmetria theory, and suggest that disrupted cerebellocortical connectivity is associated with slowed processing speed in schizophrenia. Impact statement We show in this work that in chronic schizophrenia, there is weaker functional connectivity between previously unstudied inferior posterior cerebellar lobules and cortical association areas. These findings align and extend previous work showing abnormal connectivity of anterior cerebellar lobules. Further, we present a novel finding that these connectivity deficits are differentially associated with processing speed in the schizophrenia versus healthy control groups. Findings provide further evidence for cerebellocortical dysconnectivity and processing speed deficits as biomarkers of schizophrenia, which may have implications for downstream effects on higher order cognitive functions, in line with the cognitive dysmetria theory.
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Affiliation(s)
- Sarah V. Clark
- Department of Psychology, Georgia State University, Atlanta, Georgia, USA
| | - Amber Tannahill
- Department of Psychology, Georgia State University, Atlanta, Georgia, USA
| | - Vince D. Calhoun
- Department of Psychology, Georgia State University, Atlanta, Georgia, USA
- Department of Neuroscience, Georgia State University, Atlanta, Georgia, USA
- Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, Georgia, USA
- Department of Electrical and Computer Engineering, University of New Mexico, Albuquerque, New Mexico, USA
- The Mind Research Network, Albuquerque, New Mexico, USA
| | - Jessica A. Bernard
- Department of Psychological and Brain Sciences and Texas A&M Institute for Neuroscience, Texas A&M University, College Station, Texas, USA
| | - Juan Bustillo
- Department of Psychiatry, University of New Mexico, Albuquerque, New Mexico, USA
| | - Jessica A. Turner
- Department of Psychology, Georgia State University, Atlanta, Georgia, USA
- Department of Neuroscience, Georgia State University, Atlanta, Georgia, USA
- Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, Georgia, USA
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29
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Jin X, Liang X, Gong G. Functional Integration Between the Two Brain Hemispheres: Evidence From the Homotopic Functional Connectivity Under Resting State. Front Neurosci 2020; 14:932. [PMID: 33122984 PMCID: PMC7566168 DOI: 10.3389/fnins.2020.00932] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2020] [Accepted: 08/11/2020] [Indexed: 12/12/2022] Open
Abstract
Functional integration among neural units is one of the fundamental principles in brain organization that could be examined using resting-state functional connectivity (rs-FC). Interhemispheric functional integration plays a critical role in human cognition. Homotopic functional connectivity (HoFC) under resting state provide an avenue to investigate functional integration between the two brain hemispheres, which can improve the present understanding of how interhemispheric interactions affect cognitive processing. In this review, we summarize the progress of HoFC studies under resting state and highlight how these findings have enhanced our understanding of interhemispheric functional organization of the human brain. Future studies are encouraged to address particular methodological issues and to further ascertain behavioral correlates, brain disease’s modulation, task influence, and genetic basis of HoFC.
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Affiliation(s)
- Xinhu Jin
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
| | - Xinyu Liang
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
| | - Gaolang Gong
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China.,Beijing Key Laboratory of Brain Imaging and Connectomics, Beijing Normal University, Beijing, China
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30
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Tao L, Wang L, Chen X, Liu F, Ruan F, Zhang J, Shen L, Yu Y. Modulation of Interhemispheric Functional Coordination in Breast Cancer Patients Receiving Chemotherapy. Front Psychol 2020; 11:1689. [PMID: 32849022 PMCID: PMC7403228 DOI: 10.3389/fpsyg.2020.01689] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2020] [Accepted: 06/22/2020] [Indexed: 11/24/2022] Open
Abstract
Objectives Chemotherapy induces cognitive impairments including memory impairment attention deficit and executive dysfunction in patients with breast cancer (BC) during or after chemotherapy. Previous studies identified brain structural and functional changes in BC patients receiving chemotherapy; however, there are no studies assessing functional connectivity (FC) between homotopic brain regions in BC patients using a voxel-mirrored homotopic connectivity (VMHC) method. In the present study, we explored cognitive function and whole brain homotopic FC in BC patients receiving chemotherapy compared with healthy controls using the VMHC method. Methods The present cross-sectional study included 35 premenopausal women with breast cancer who received chemotherapy, as well as 32 age- and sex-matched healthy controls (HC). All subjects underwent resting-state functional magnetic resonance imaging, which measured homotopic brain FC, and cognitive neuropsychological assessments evaluating attention, memory, and executive function domains. Results The BC group had lower VMHC than the HC group in the cingulated posterior, insular and postcentral regions. No region exhibited higher VMHC in the BC group than in HC group. Correlation analysis in the BC group indicated that VMHC values in the cingulated posterior were significantly correlated with executive function tests, and that the VMHC values in the insular were significantly correlated with memory tests. Conclusion The present study showed that VMHC decreased in different brain regions including cingulated posterior, insular and postcentral regions. A significant correlation was observed between the VMHC values in the brain regions and neuropsychological tests. These results suggested that changes in VMHC values in different brain regions may underlie cognitive changes in BC patients receiving chemotherapy.
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Affiliation(s)
- Longxiang Tao
- Department of Radiology, The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Lu Wang
- Department of Neurology, The First Affiliated Hospital of Anhui Medical University, Hefei, China.,Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, China
| | - Xingui Chen
- Department of Neurology, The First Affiliated Hospital of Anhui Medical University, Hefei, China.,Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, China
| | - Fujun Liu
- Department of Radiology, The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Feiyan Ruan
- Department of Breast Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Jingjie Zhang
- Department of Breast Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Li Shen
- Department of Radiotherapy, The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Yongqiang Yu
- Department of Radiology, The First Affiliated Hospital of Anhui Medical University, Hefei, China
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31
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Webler RD, Hamady C, Molnar C, Johnson K, Bonilha L, Anderson BS, Bruin C, Bohning DE, George MS, Nahas Z. Decreased interhemispheric connectivity and increased cortical excitability in unmedicated schizophrenia: A prefrontal interleaved TMS fMRI study. Brain Stimul 2020; 13:1467-1475. [PMID: 32585355 DOI: 10.1016/j.brs.2020.06.017] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2019] [Revised: 05/08/2020] [Accepted: 06/16/2020] [Indexed: 01/22/2023] Open
Abstract
BACKGROUND Prefrontal abnormalities in schizophrenia have consistently emerged from resting state and cognitive neuroimaging studies. However, these correlative findings require causal verification via combined imaging/stimulation approaches. To date, no interleaved transcranial magnetic stimulation and functional magnetic resonance imaging study (TMS fMRI) has probed putative prefrontal cortex abnormalities in schizophrenia. OBJECTIVE /Hypothesis: We hypothesized that subjects with schizophrenia would show significant hyperexcitability at the site of stimulation (BA9) and decreased interhemispheric functional connectivity. METHODS We enrolled 19 unmedicated subjects with schizophrenia and 22 controls. All subjects underwent brain imaging using a 3T MRI scanner with a SENSE coil. They also underwent a single TMS fMRI session involving motor threshold (rMT) determination, structural imaging, and a parametric TMS fMRI protocol with 10 Hz triplet pulses at 0, 80, 100 and 120% rMT. Scanning involved a surface MR coil optimized for bilateral prefrontal cortex image acquisition. RESULTS Of the original 41 enrolled subjects, 8 subjects with schizophrenia and 11 controls met full criteria for final data analyses. At equal TMS intensity, subjects with schizophrenia showed hyperexcitability in left BA9 (p = 0.0157; max z-score = 4.7) and neighboring BA46 (p = 0.019; max z-score = 4.47). Controls showed more contralateral functional connectivity between left BA9 and right BA9 through increased activation in right BA9 (p = 0.02; max z-score = 3.4). GM density in subjects with schizophrenia positively correlated with normalized prefrontal to motor cortex ratio of the corresponding distance from skull to cortex ratio (S-BA9/S-MC) (r = 0.83, p = 0.004). CONCLUSIONS Subjects with schizophrenia showed hyperexcitability in left BA9 and impaired interhemispheric functional connectivity compared to controls. Interleaved TMS fMRI is a promising tool to investigate prefrontal dysfunction in schizophrenia.
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Affiliation(s)
- Ryan D Webler
- University of Minnesota, Department of Psychology, USA
| | - Carmen Hamady
- American University of Beirut, Department of Psychiatry, USA
| | - Chris Molnar
- Brain Stimulation Laboratory, Psychiatry Department, Medical University of South Carolina, USA
| | | | | | | | - Claartje Bruin
- American University of Beirut, Department of Psychiatry, USA
| | - Daryl E Bohning
- Brain Stimulation Laboratory, Psychiatry Department, Medical University of South Carolina, USA
| | - Mark S George
- Brain Stimulation Laboratory, Psychiatry Department, Medical University of South Carolina, USA; Ralph H. Johnson VA Medical Center, Charleston, SC, USA
| | - Ziad Nahas
- American University of Beirut, Department of Psychiatry, USA; University of Minnesota, Department of Psychiatry, USA.
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32
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Zhao J, Manza P, Wiers C, Song H, Zhuang P, Gu J, Shi Y, Wang GJ, He D. Age-Related Decreases in Interhemispheric Resting-State Functional Connectivity and Their Relationship With Executive Function. Front Aging Neurosci 2020; 12:20. [PMID: 32161532 PMCID: PMC7054233 DOI: 10.3389/fnagi.2020.00020] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2019] [Accepted: 01/21/2020] [Indexed: 11/13/2022] Open
Abstract
Age-related alterations of functional brain networks contribute to cognitive decline. Current theories indicate that age-related intrinsic brain functional reorganization may be a critical marker of cognitive aging. Yet, little is known about how intrinsic interhemispheric functional connectivity changes with age in adults, and how this relates to critical executive functions. To address this, we examined voxel-mirrored homotopic connectivity (VMHC), a metric that quantifies interhemispheric communication, in 93 healthy volunteers (age range: 19-85) with executive function assessment using the Delis-Kaplan Executive Function System (D-KEFS) scales. Resting functional MRI data were analyzed to assess VMHC, and then a multiple linear regression model was employed to evaluate the relationship between age and the whole-brain VMHC. We observed age-related reductions in VMHC of ventromedial prefrontal cortex (vmPFC) and hippocampus in the medial temporal lobe subsystem, dorsal anterior cingulate cortex and insula in salience network, and inferior parietal lobule in frontoparietal control network. Performance on the color-word inhibition task was associated with VMHC of vmPFC and insula, and VMHC of vmPFC mediated the relationship between age and CWIT inhibition reaction times. The percent ratio of correct design scores in design fluency test correlated positively with VMHC of the inferior parietal lobule. The current study suggests that brain interhemispheric functional alterations may be a promising new avenue for understanding age-related cognitive decline.
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Affiliation(s)
- Jizheng Zhao
- College of Mechanical and Electronic Engineering, Northwest A&F University, Yangling, China
- Key Laboratory of Agricultural Internet of Things, Ministry of Agriculture, Yangling, China
- Shaanxi Key Laboratory of Agricultural Information Perception and Intelligent Service, Yangling, China
| | - Peter Manza
- Laboratory of Neuroimaging, National Institute on Alcohol Abuse and Alcoholism, Bethesda, MD, United States
| | - Corinde Wiers
- Laboratory of Neuroimaging, National Institute on Alcohol Abuse and Alcoholism, Bethesda, MD, United States
| | - Huaibo Song
- College of Mechanical and Electronic Engineering, Northwest A&F University, Yangling, China
- Key Laboratory of Agricultural Internet of Things, Ministry of Agriculture, Yangling, China
- Shaanxi Key Laboratory of Agricultural Information Perception and Intelligent Service, Yangling, China
| | - Puning Zhuang
- College of Mechanical and Electronic Engineering, Northwest A&F University, Yangling, China
- Key Laboratory of Agricultural Internet of Things, Ministry of Agriculture, Yangling, China
- Shaanxi Key Laboratory of Agricultural Information Perception and Intelligent Service, Yangling, China
| | - Jun Gu
- Department of Endocrinology, First Affiliated Hospital of Hebei North University, Zhangjiakou, China
| | - Yinggang Shi
- College of Mechanical and Electronic Engineering, Northwest A&F University, Yangling, China
| | - Gene-Jack Wang
- Laboratory of Neuroimaging, National Institute on Alcohol Abuse and Alcoholism, Bethesda, MD, United States
| | - Dongjian He
- College of Mechanical and Electronic Engineering, Northwest A&F University, Yangling, China
- Key Laboratory of Agricultural Internet of Things, Ministry of Agriculture, Yangling, China
- Shaanxi Key Laboratory of Agricultural Information Perception and Intelligent Service, Yangling, China
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Effect of multi-session prefrontal transcranial direct current stimulation on cognition in schizophrenia: A systematic review and meta-analysis. Schizophr Res 2020; 216:367-373. [PMID: 31822431 DOI: 10.1016/j.schres.2019.11.011] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/06/2019] [Revised: 11/04/2019] [Accepted: 11/05/2019] [Indexed: 12/21/2022]
Abstract
Patients with schizophrenia experience cognitive deficits that play a central role in predicting functional outcomes. In this study, we sought to evaluate the effect of transcranial direct current stimulation (tDCS) on cognition using meta-analysis. A search was performed from inception to 8 January 2019, to identify randomized controlled trials assessing the ability of tDCS to ameliorate cognitive deficits in patients with schizophrenia and schizoaffective disorder. The effect size, calculated as the standardized mean difference (Hedge's g), was obtained with a random effect model. We analyzed mean effects on specific cognitive domains that were evaluated in four or more studies. Nine articles were included in the systematic review, which encompassed 270 patients: 133 in the active stimulation group and 137 in the sham stimulation group. Meta-analysis demonstrated a significant mean effect of tDCS on working memory (SMD = 0.49, 95% CI = 0.16 to 0.83), while non-significant results were produced for other domains. These findings were supported by sensitivity analyses indicating that the results would not change in a meaningful way after the exclusion of each single study, and meta-regression analyses verifying the consistent effect irrespective of any moderators. Thus, tDCS may provide a potential option to improve working memory deficits in individuals with schizophrenia. Further trials examining the cognitive benefit of tDCS with medication or other adjunctive treatments are warranted.
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Zhang Y, Dai Z, Chen Y, Sim K, Sun Y, Yu R. Altered intra- and inter-hemispheric functional dysconnectivity in schizophrenia. Brain Imaging Behav 2020; 13:1220-1235. [PMID: 30094555 DOI: 10.1007/s11682-018-9935-8] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
Abstract
Despite convergent evidence suggesting that schizophrenia is a disorder of brain dysconnectivity, it remains unclear whether intra- or inter-hemispheric deficits or their combination underlie the dysconnection. This study examined the source of the functional dysconnection in schizophrenia. Resting-state fMRI was performed in 66 patients with schizophrenia and 73 matched healthy controls. Functional brain networks were constructed for each participant and further partitioned into intra- and inter-hemispheric connections. We examined how schizophrenia altered the intra-hemispheric topological properties and the inter-hemispheric nodal strength. Although several subcortical and cingulate regions exhibited hemispheric-independent aberrations of regional efficiency, the optimal small-world properties in the hemispheric networks and their lateralization were preserved in patients. A significant deficit in the inter-hemispheric connectivity was revealed in most of the hub regions, leading to an inter-hemispheric hypo-connectivity pattern in patients. These abnormal intra- and inter-hemispheric network organizations were associated with the clinical features of schizophrenia. The patients in the present study received different medications. These findings provide new insights into the nature of dysconnectivity in schizophrenia, highlighting the dissociable processes between the preserved intra-hemispheric network topology and altered inter-hemispheric functional connectivity.
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Affiliation(s)
- Yuan Zhang
- Key Laboratory for Biomedical Engineering of the Ministry of Education, Department of Biomedical Engineering, Zhejiang University, Zhejiang, 310000, China.,Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA
| | - Zhongxiang Dai
- Department of Computer Science, National University of Singapore, Singapore, Singapore
| | - Yu Chen
- School of Computer Engineering, Nanyang Technological University, Singapore, Singapore
| | - Kang Sim
- Department of General Psychiatry, Institute of Mental Health, Singapore, Singapore.,Department of Research, Institute of Mental Health, Singapore, Singapore
| | - Yu Sun
- Key Laboratory for Biomedical Engineering of the Ministry of Education, Department of Biomedical Engineering, Zhejiang University, Zhejiang, 310000, China.
| | - Rongjun Yu
- Department of Psychology, National University of Singapore, Block AS4, #02-07, 9 Arts Link, Singapore, 117570, Singapore. .,Graduate School for Integrative Sciences and Engineering, National University of Singapore, Singapore, Singapore.
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Machine learning technique reveals intrinsic characteristics of schizophrenia: an alternative method. Brain Imaging Behav 2020; 13:1386-1396. [PMID: 30159765 DOI: 10.1007/s11682-018-9947-4] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
Machine learning technique has long been utilized to assist disease diagnosis, increasing clinical physicians' confidence in their decision and expediting the process of diagnosis. In this case, machine learning technique serves as a tool for distinguishing patients from healthy people. Additionally, it can also serve as an exploratory method to reveal intrinsic characteristics of a disease based on discriminative features, which was demonstrated in this study. Resting-state functional magnetic resonance imaging (fMRI) data were obtained from 148 participants (including patients with schizophrenia and healthy controls). Connective strengths were estimated by Pearson correlation for each pair of brain regions partitioned according to automated anatomical labelling atlas. Subsequently, consensus connections with high discriminative power were extracted under the circumstance of the best classification accuracy. Investigating these consensus connections, we found that schizophrenia group predominately exhibited weaker strengths of inter-regional connectivity compared to healthy group. Aberrant connectivities in both intra- and inter-hemispherical connections were observed. Within intra-hemispherical connections, the number of aberrant connections in the right hemisphere was more than that of the left hemisphere. In the exploration of large regions, we revealed that the serious dysconnectivities mainly appeared on temporal and occipital regions for the within-large-region connections; while connectivity disruption was observed on the connections from temporal region to occipital, insula and limbic regions for the between-large-region connections. The findings of this study corroborate previous conclusion of dysconnectivity in schizophrenia and further shed light on distribution patterns of dysconnectivity, which deepens the understanding of pathological mechanism of schizophrenia.
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Wang D, Zhuo K, Zhu Y, Liu D, Li Y. Abnormal interhemispheric functional interactions in drug-naïve adult-onset first episode psychosis patients. ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. ANNUAL INTERNATIONAL CONFERENCE 2020; 2019:4346-4349. [PMID: 31946830 DOI: 10.1109/embc.2019.8856878] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
Previous neuroimaging studies have shown that the cortical functional dysconnectivity contributed to the etiology of schizophrenia (SCZ). However, the interhemispheric functional interactions in SCZ remain not fully understood. The clinical heterogeneity of SCZ might lead to the variations in the findings and the effect of medication had a profound influence on the patient's functional features. In this study, we were aimed at investigating the interhemispheric functional interactions in drug-naïve adult-onset first episode psychosis (FEP) patients. Using voxel-mirrored homotopic connectivity (VMHC) analysis for functional magnetic resonance imaging (fMRI) data, we found decreased VMHC values in precuneus, posterior cingulate cortex (PCC), pallidum gyrus, inferior temporal gyrus and superior temporal gyrus in FEP patients. Additionally, the peak VMHC value of PCC was negatively correlated with the PANSS depression factor score. And the peak VMHC value of precuneus was positively correlated with the PANSS positive factor score. The results indicated that the disrupted interhemispheric functional connectivity of posterior default mode network (DMN) was related to emotion and consciousness dysregulation in FEP patients.
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Gao L, Wang T, Qian T, Xiao F, Bai L, Zhang J, Xu H. Severe asymptomatic carotid stenosis is associated with robust reductions in homotopic functional connectivity. Neuroimage Clin 2019; 24:102101. [PMID: 31835289 PMCID: PMC6911862 DOI: 10.1016/j.nicl.2019.102101] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2018] [Revised: 10/05/2019] [Accepted: 11/18/2019] [Indexed: 12/01/2022]
Abstract
Severe (>70% narrowing) asymptomatic carotid stenosis (SACS) is associated with cognitive impairment and future strokes, and connectivity basis for the remote brain consequences is poorly understood. Here we explored homotopic connectivity and parenchymal lesions measured by multimodal magnetic resonance imaging (MRI) parameters in patients with SACS. Twenty-four patients with SACS (19 males/5 females; 64.25 ± 7.18 years), 24 comorbidities-matched controls (19 males/5 females; 67.16 ± 6.10 years), and an independent sample of elderly healthy controls (39 females/45 males; 57.92 ± 4.94 years) were included. Homotopic functional connectivity (FC) of resting-state functional MRI and structural connectivity (SC) of deterministic tractography were assessed. Arterial spin labeling based cerebral perfusion, susceptibility weighted imaging based microhemorrhagic lesions, and T2-weighted white matter hyperintensities were also quantified. Significant and robust homotopic reductions (validated by the independent dataset and support vector machine-based machine learning) were identified in the Perisylvian fissure in patients with SACS (false discovery rate corrected, voxel p < 0.05). These involved regions span across several large-scale brain systems, which include the somatomotor, salience, dorsal attention, and orbitofrontal-limbic networks. This significantly reduced homotopic FC can be partially explained by the corrected white matter hyperintensity size. Further association analyses suggest that the decreased homotopic FC in these brain regions is most closely associated with delayed memory recall, sensorimotor processing, and other simple cognitive functions. Together, these results suggest that SACS predominately affects the lower-order brain systems, while higher-order systems, especially the topographies of default mode network, are least impacted initially, but may serve as a hallmark precursor to vascular dementia. Thus, assessment of homotopic FC may provide a means of noninvasively tracking the progression of downstream brain damage following asymptomatic carotid stenosis.
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Affiliation(s)
- Lei Gao
- Department of Radiology, Zhongnan Hospital of Wuhan University, Wuchang District, Wuhan City, Hubei Province 430071, China
| | - Tao Wang
- Department of Neurology, the First College of Clinical Medical Science, China Three Gorges University, Yichang, China; Department of Neurology, Zhongnan Hospital of Wuhan University, Wuchang District, Wuhan City, Hubei Province 430071, China
| | - Tianyi Qian
- MR Collaboration, Siemens Healthcare China, Beijing, China
| | - Feng Xiao
- Department of Radiology, Zhongnan Hospital of Wuhan University, Wuchang District, Wuhan City, Hubei Province 430071, China
| | - Lijun Bai
- The Key Laboratory of Biomedical Information Engineering, Ministry of Education, Department of Biomedical Engineering, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an 710049, China
| | - Junjian Zhang
- Department of Neurology, Zhongnan Hospital of Wuhan University, Wuchang District, Wuhan City, Hubei Province 430071, China.
| | - Haibo Xu
- Department of Radiology, Zhongnan Hospital of Wuhan University, Wuchang District, Wuhan City, Hubei Province 430071, China.
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Li F, Lu L, Chen H, Wang P, Chen YC, Zhang H, Yin X. Disrupted brain functional hub and causal connectivity in acute mild traumatic brain injury. Aging (Albany NY) 2019; 11:10684-10696. [PMID: 31754082 PMCID: PMC6914439 DOI: 10.18632/aging.102484] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2019] [Accepted: 11/08/2019] [Indexed: 12/19/2022]
Abstract
There have been an increasing number of functional magnetic resonance imaging (fMRI) reports on brain abnormalities in mild traumatic brain injury (mTBI) at different phases. However, the neural bases and cognitive impairment after acute mTBI are unclear. This study aimed to identify brain functional hubs and connectivity abnormalities in acute mTBI patients and their correlations with deficits in cognitive performance. Within seven days after brain injury, mTBI patients (n=55) and age-, sex-, and educational -matched healthy controls (HCs) (n=41) underwent resting-state fMRI scans and cognitive assessments. We derived functional connectivity (FC) strength of the whole-brain network using degree centrality (DC) and performed Granger causality analysis (GCA) to analyze causal connectivity patterns in acute mTBI. Compared with HCs, acute mTBI patients had significantly decreased network centrality in the left middle frontal gyrus (MFG). Additionally, acute mTBI showed decreased inflows from the left MFG to bilateral middle temporal gyrus (MTG), left medial superior frontal gyrus (mSFG), and left anterior cingulate cortex (ACC). Correlation analyses revealed that changes in network centrality and causal connectivity were associated with deficits in cognitive performance in mTBI. Our findings may help to provide a new perspective for understanding the neuropathophysiological mechanism of acute cognitive impairment after mTBI.
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Affiliation(s)
- Fengfang Li
- Department of Radiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
| | - Liyan Lu
- Department of Radiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
| | - Huiyou Chen
- Department of Radiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
| | - Peng Wang
- Department of Radiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
| | - Yu-Chen Chen
- Department of Radiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
| | - Hong Zhang
- Department of Radiology, The Affiliated Jiangning Hospital of Nanjing Medical University, Nanjing, China
| | - Xindao Yin
- Department of Radiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
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Ma X, Zheng W, Li C, Li Z, Tang J, Yuan L, Ouyang L, Jin K, He Y, Chen X. Decreased regional homogeneity and increased functional connectivity of default network correlated with neurocognitive deficits in subjects with genetic high-risk for schizophrenia: A resting-state fMRI study. Psychiatry Res 2019; 281:112603. [PMID: 31622873 DOI: 10.1016/j.psychres.2019.112603] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/04/2019] [Revised: 10/04/2019] [Accepted: 10/04/2019] [Indexed: 01/01/2023]
Abstract
The complex symptoms of schizophrenia (SCZ) have been associated with dysfunction of the default mode network (DMN). Subjects at genetic high risk (GHR) for SCZ exhibit similar but milder brain abnormalities. This study aimed to investigate functional alterations of DMN from the local to the whole and their relationships with cognitive deficits in GHR subjects. 42 GHR subjects and 38 matched healthy controls (HC) were studied by resting-state functional magnetic resonance imaging (rs-fMRI). Regional homogeneity (ReHo) analysis was performed to measure the local brain function of the DMN, derived by the group independent component analysis, and areas with aberrant ReHo were used as seeds in functional connectivity (FC). Compared with the HC group, the GHR group exhibited significantly decreased ReHo and increased FC in the fronto-limbic-striatal system within the DMN. Furthermore, a significant negative correlation was found between decreased ReHo in the right superior frontal gyrus and the delayed recall in GHR subjects. Our findings revealed decreased local function and hyper-connectivity in the fronto-limbic-striatal system of the DMN in GHR subjects, which is associated with cognitive deficits. This may improve our understanding of the neurophysiological endophenotypes of SCZ and the neural substrate underlying the cognitive deficits of the disease.
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Affiliation(s)
- Xiaoqian Ma
- Department of Psychiatry, Second Xiangya Hospital, Central South University, Changsha, China
| | - Wenxiao Zheng
- Department of Psychiatry, Second Xiangya Hospital, Central South University, Changsha, China; Department of Clinical Medicine, Third Xiangya Hospital, Central South University, Changsha, China
| | - Chunwang Li
- Department of Radiology, Hunan Children's Hospital, Changsha, China
| | - Zongchang Li
- Department of Psychiatry, Second Xiangya Hospital, Central South University, Changsha, China
| | - Jinsong Tang
- Department of Psychiatry, Second Xiangya Hospital, Central South University, Changsha, China
| | - Liu Yuan
- Department of Psychiatry, Second Xiangya Hospital, Central South University, Changsha, China
| | - Lijun Ouyang
- Department of Psychiatry, Second Xiangya Hospital, Central South University, Changsha, China
| | - Ke Jin
- Department of Radiology, Hunan Children's Hospital, Changsha, China
| | - Ying He
- Department of Psychiatry, Second Xiangya Hospital, Central South University, Changsha, China.
| | - Xiaogang Chen
- Department of Psychiatry, Second Xiangya Hospital, Central South University, Changsha, China; Mental Health Institute of Central South University, Changsha, Hunan, China; China National Clinical Research Center on Mental Disorders (Xiangya), Changsha, Hunan, China; China National Technology Institute on Mental Disorders, Changsha, Hunan, China; Hunan Key Laboratory of Psychiatry and Mental Health, Changsha, Hunan, China.
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Guo W, Liu F, Chen J, Wu R, Li L, Zhang Z, Chen H, Zhao J. Treatment effects of olanzapine on homotopic connectivity in drug-free schizophrenia at rest. World J Biol Psychiatry 2019. [PMID: 28649941 DOI: 10.1080/15622975.2017.1346280] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
Abstract
OBJECTIVES Deficits in homotopic connectivity have been implicated in schizophrenia. However, alterations in homotopic connectivity associated with antipsychotic treatments in schizophrenia remain unclear due to lack of longitudinal studies. METHODS Seventeen drug-free patients with recurrent schizophrenia and 24 healthy controls underwent resting-state functional magnetic resonance imaging scans. The patients were scanned at three time points (baseline, at 6 weeks of treatment, and at 6 months of treatment). Voxel-mirrored homotopic connectivity (VMHC) was applied to analyse the imaging data to examine alterations in VMHC associated with antipsychotic treatment. RESULTS The results showed that patients with schizophrenia exhibited decreased VMHC in the default-mode network (such as the precuneus and inferior parietal lobule) and the motor and sensory processing regions (such as the lingual gyrus, fusiform gyrus and cerebellum lobule VI), which could be normalised or denormalised by olanzapine treatment. In addition, negative correlations were found between decreased VMHC and symptom severity in the patients at baseline. CONCLUSIONS The present study shows that olanzapine treatment can normalise or denormalise decreased homotopic connectivity in schizophrenia. The findings also provide a new perspective to understand treatment effects of antipsychotic drugs on homotopic connectivity in schizophrenia that contribute to the disconnection hypothesis of this disease.
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Affiliation(s)
- Wenbin Guo
- a Department of Psychiatry , The Second Xiangya Hospital, Central South University , Changsha , Hunan , China.,b Mental Health Institute of the Second Xiangya Hospital , Central South University , Changsha , Hunan , China.,c National Clinical Research Center on Mental Disorders , Changsha , Hunan , China.,d National Technology Institute on Mental Disorders , Changsha , Hunan , China.,e Hunan Key Laboratory of Psychiatry and Mental Health , Changsha , Hunan , China
| | - Feng Liu
- f Key Laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology , University of Electronic Science and Technology of China , Chengdu , Sichuan , China
| | - Jindong Chen
- a Department of Psychiatry , The Second Xiangya Hospital, Central South University , Changsha , Hunan , China.,b Mental Health Institute of the Second Xiangya Hospital , Central South University , Changsha , Hunan , China.,c National Clinical Research Center on Mental Disorders , Changsha , Hunan , China.,d National Technology Institute on Mental Disorders , Changsha , Hunan , China.,e Hunan Key Laboratory of Psychiatry and Mental Health , Changsha , Hunan , China
| | - Renrong Wu
- a Department of Psychiatry , The Second Xiangya Hospital, Central South University , Changsha , Hunan , China.,b Mental Health Institute of the Second Xiangya Hospital , Central South University , Changsha , Hunan , China.,d National Technology Institute on Mental Disorders , Changsha , Hunan , China.,e Hunan Key Laboratory of Psychiatry and Mental Health , Changsha , Hunan , China.,f Key Laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology , University of Electronic Science and Technology of China , Chengdu , Sichuan , China
| | - Lehua Li
- a Department of Psychiatry , The Second Xiangya Hospital, Central South University , Changsha , Hunan , China.,b Mental Health Institute of the Second Xiangya Hospital , Central South University , Changsha , Hunan , China.,c National Clinical Research Center on Mental Disorders , Changsha , Hunan , China.,d National Technology Institute on Mental Disorders , Changsha , Hunan , China.,e Hunan Key Laboratory of Psychiatry and Mental Health , Changsha , Hunan , China
| | - Zhikun Zhang
- g Mental Health Center , The First Affiliated Hospital, Guangxi Medical University , Nanning , Guangxi , China
| | - Huafu Chen
- f Key Laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology , University of Electronic Science and Technology of China , Chengdu , Sichuan , China
| | - Jingping Zhao
- a Department of Psychiatry , The Second Xiangya Hospital, Central South University , Changsha , Hunan , China.,b Mental Health Institute of the Second Xiangya Hospital , Central South University , Changsha , Hunan , China.,c National Clinical Research Center on Mental Disorders , Changsha , Hunan , China.,d National Technology Institute on Mental Disorders , Changsha , Hunan , China.,e Hunan Key Laboratory of Psychiatry and Mental Health , Changsha , Hunan , China.,h Guangzhou Hui Ai Hospital , Affliated Brain Hospital of Guangzhou Medical University , Guangzhou , Guangdong , China
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Liao ZL, Tan YF, Qiu YJ, Zhu JP, Chen Y, Lin SS, Wu MH, Mao YP, Hu JJ, Ding ZX, Yu EY. Interhemispheric functional connectivity for Alzheimer's disease and amnestic mild cognitive impairment based on the triple network model. J Zhejiang Univ Sci B 2019; 19:924-934. [PMID: 30507076 DOI: 10.1631/jzus.b1800381] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
The purpose of this study was to explore the differences in interhemispheric functional connectivity in patients with Alzheimer's disease (AD) and amnestic mild cognitive impairment (aMCI) based on a triple network model consisting of the default mode network (DMN), salience network (SN), and executive control network (ECN). The technique of voxel-mirrored homotopic connectivity (VMHC) analysis was applied to explore the aberrant connectivity of all patients. The results showed that: (1) the statistically significant connections of interhemispheric brain regions included DMN-related brain regions (i.e. precuneus, calcarine, fusiform, cuneus, lingual gyrus, temporal inferior gyrus, and hippocampus), SN-related brain regions (i.e. frontoinsular cortex), and ECN-related brain regions (i.e. frontal middle gyrus and frontal inferior); (2) the precuneus and frontal middle gyrus in the AD group exhibited lower VMHC values than those in the aMCI and healthy control (HC) groups, but no significant difference was observed between the aMCI and HC groups; and (3) significant correlations were found between peak VMHC results from the precuneus and Mini Mental State Examination (MMSE) and Montreal Cognitive Scale (MOCA) scores and their factor scores in the AD, aMCI, and AD plus aMCI groups, and between the results from the frontal middle gyrus and MOCA factor scores in the aMCI group. These findings indicated that impaired interhemispheric functional connectivity was observed in AD and could be a sensitive neuroimaging biomarker for AD. More specifically, the DMN was inhibited, while the SN and ECN were excited. VMHC results were correlated with MMSE and MOCA scores, highlighting that VMHC could be a sensitive neuroimaging biomarker for AD and the progression from aMCI to AD.
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Affiliation(s)
- Zheng-Luan Liao
- Department of Psychiatry, Zhejiang Provincial People's Hospital, Hangzhou 310014, China.,Psychiatry and Mental Health, People's Hospital of Hangzhou Medical College, Hangzhou 310014, China
| | - Yun-Fei Tan
- Department of Psychiatry, Zhejiang Provincial People's Hospital, Hangzhou 310014, China.,Psychiatry and Mental Health, People's Hospital of Hangzhou Medical College, Hangzhou 310014, China
| | - Ya-Ju Qiu
- Department of Psychiatry, Zhejiang Provincial People's Hospital, Hangzhou 310014, China.,Psychiatry and Mental Health, People's Hospital of Hangzhou Medical College, Hangzhou 310014, China
| | - Jun-Peng Zhu
- Department of Psychiatry, Zhejiang Provincial People's Hospital, Hangzhou 310014, China.,Psychiatry and Mental Health, People's Hospital of Hangzhou Medical College, Hangzhou 310014, China
| | - Yan Chen
- Department of Psychiatry, Zhejiang Provincial People's Hospital, Hangzhou 310014, China.,Psychiatry and Mental Health, People's Hospital of Hangzhou Medical College, Hangzhou 310014, China
| | - Si-Si Lin
- Psychiatry and Mental Health, Zhejiang Chinese Medical University, Hangzhou 310053, China
| | - Ming-Hao Wu
- Psychiatry and Mental Health, Bengbu Medical College, Bengbu 233030, China
| | - Yan-Ping Mao
- Psychiatry and Mental Health, Zhejiang Chinese Medical University, Hangzhou 310053, China
| | - Jiao-Jiao Hu
- Psychiatry and Mental Health, Bengbu Medical College, Bengbu 233030, China
| | - Zhong-Xiang Ding
- Department of Radiology, Hangzhou First People's Hospital, Hangzhou 310006, China
| | - En-Yan Yu
- Department of Psychiatry, Zhejiang Provincial People's Hospital, Hangzhou 310014, China.,Psychiatry and Mental Health, People's Hospital of Hangzhou Medical College, Hangzhou 310014, China
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Zhu F, Liu Y, Liu F, Yang R, Li H, Chen J, Kennedy DN, Zhao J, Guo W. Functional asymmetry of thalamocortical networks in subjects at ultra-high risk for psychosis and first-episode schizophrenia. Eur Neuropsychopharmacol 2019; 29:519-528. [PMID: 30770234 DOI: 10.1016/j.euroneuro.2019.02.006] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/15/2018] [Revised: 01/29/2019] [Accepted: 02/02/2019] [Indexed: 01/18/2023]
Abstract
Disrupted functional asymmetry has been implicated in schizophrenia. However, it remains unknown whether disrupted functional asymmetry originates from intra-hemispheric and/or inter-hemispheric functional connectivity (FC) in the patients, and whether it starts at very early stage of psychosis. Seventy-six patients with first-episode, drug-naive schizophrenia, 74 subjects at ultra-high risk for psychosis (UHR), and 71 healthy controls underwent resting-state functional magnetic resonance imaging. The 'Parameter of asymmetry' (PAS) metric was calculated and support vector machine (SVM) classification analysis was applied to analyze the data. Compared with healthy controls, patients exhibited decreased PAS in the left thalamus/pallidum, right hippocampus/parahippocampus, right inferior frontal gyrus/insula, right thalamus, and left inferior parietal lobule, and increased PAS in the left calcarine, right superior occipital gyrus/middle occipital gyrus, and right precentral gyrus/postcentral gyrus. By contrast, UHR subjects showed decreased PAS in the left thalamus relative to healthy controls. A negative correlation was observed between decreased PAS in the right hippocampus/parahippocampus and Brief Visuospatial Memory Test-Revised (BVMT-R) scores in the patients (r = -0.364, p = 0.002). Moreover, the PAS values in the left thalamus could discriminate the patients/UHR subjects from the controls with acceptable sensitivities (68.42%/81.08%). First-episode patients and UHR subjects shared decreased PAS in the left thalamus. This observed pattern of functional asymmetry highlights the involvement of the thalamus in the pathophysiology of psychosis and may also be applied as a very early marker for psychosis.
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Affiliation(s)
- Furong Zhu
- Department of Psychiatry, The Second Xiangya Hospital of Central South University, Changsha, Hunan 410011, China
| | - Yi Liu
- Department of Psychiatry, The Second Xiangya Hospital of Central South University, Changsha, Hunan 410011, China
| | - Feng Liu
- Department of Radiology, Tianjin Medical University General Hospital, Tianjin 300000, China
| | - Ru Yang
- Department of Radiology, The Second Xiangya Hospital of Central South University, Changsha, Hunan 410011, China
| | - Huabing Li
- Department of Radiology, The Second Xiangya Hospital of Central South University, Changsha, Hunan 410011, China
| | - Jindong Chen
- Department of Psychiatry, The Second Xiangya Hospital of Central South University, Changsha, Hunan 410011, China
| | - David N Kennedy
- Department of Psychiatry, Division of Neuroinformatics, University of Massachusetts Medical School, UMass Memorial Medical Center, Worcester, MA 01605, United States
| | - Jingping Zhao
- Department of Psychiatry, The Second Xiangya Hospital of Central South University, Changsha, Hunan 410011, China
| | - Wenbin Guo
- Department of Psychiatry, The Second Xiangya Hospital of Central South University, Changsha, Hunan 410011, China.
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Gao L, Grebogi C, Lai YC, Stephen J, Zhang T, Li Y, Ren H, Li D, Wang J, Schelter B, Sommerlade L. Quantitative assessment of cerebral connectivity deficiency and cognitive impairment in children with prenatal alcohol exposure. CHAOS (WOODBURY, N.Y.) 2019; 29:041101. [PMID: 31042962 PMCID: PMC6445650 DOI: 10.1063/1.5089527] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/20/2019] [Accepted: 02/20/2019] [Indexed: 06/09/2023]
Abstract
It is common knowledge that alcohol consumption during pregnancy would cause cognitive impairment in children. However, recent works suggested that the risk of drinking during pregnancy may have been exaggerated. It is critical to determine whether and up to which amount the consumption of alcohol will affect the cognitive development of children. We evaluate time-varying functional connectivity using magnetoencephalogram data from somatosensory evoked response experiments for 19 teenage subjects with prenatal alcohol exposure and 21 healthy control teenage subjects using a new time-varying connectivity approach, combining renormalised partial directed coherence with state space modeling. Children exposed to alcohol prenatally are at risk of developing a Fetal Alcohol Spectrum Disorder (FASD) characterized by cerebral connectivity deficiency and impaired cognitive abilities. Through a comparison study of teenage subjects exposed to alcohol prenatally with healthy control subjects, we establish that the inter-hemispheric connectivity is deficient for the former, which may lead to disruption in the cortical inter-hemispheric connectivity and deficits in higher order cognitive functions as measured by an IQ test, for example. We provide quantitative evidence that the disruption is correlated with cognitive deficits. These findings could lead to a novel, highly sensitive biomarker for FASD and support a recommendation of no safe amount of alcohol consumption during pregnancy.
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Affiliation(s)
- Lin Gao
- State Key Laboratory of Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an 710049, Shaanxi, People's Republic of China
| | - Celso Grebogi
- Institute for Complex Systems and Mathematical Biology, King's College, University of Aberdeen, Aberdeen AB24 3UE, United Kingdom
| | - Ying-Cheng Lai
- School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, Arizona 85287-5706, USA
| | - Julia Stephen
- The Mind Research Network, Albuquerque, New Mexico 87131, USA
| | - Tongsheng Zhang
- Department of Neurology, University of New Mexico, Albuquerque, New Mexico 87131, USA
| | - Yuanli Li
- Department of Rehabilitation Medicine, Shanghai Bei Zhan Hospital, Shanghai 200070, People's Republic of China
| | - Haipeng Ren
- Shaanxi Key Laboratory of Complex System Control and Intelligent Information Processing, Xi'an University of Technology, Xi'an 710048, Shaanxi, People's Republic of China
| | - Dichen Li
- State Key Laboratory of Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an 710049, Shaanxi, People's Republic of China
| | - Jue Wang
- Institute of Biomedical Engineering, Key Laboratory of Biomedical Information Engineering of Education Ministry, Xi'an Jiaotong University, Xi'an 710049, Shaanxi, People's Republic of China
| | - Bjoern Schelter
- Institute for Complex Systems and Mathematical Biology, King's College, University of Aberdeen, Aberdeen AB24 3UE, United Kingdom
| | - Linda Sommerlade
- Institute for Complex Systems and Mathematical Biology, King's College, University of Aberdeen, Aberdeen AB24 3UE, United Kingdom
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Mancuso L, Costa T, Nani A, Manuello J, Liloia D, Gelmini G, Panero M, Duca S, Cauda F. The homotopic connectivity of the functional brain: a meta-analytic approach. Sci Rep 2019; 9:3346. [PMID: 30833662 PMCID: PMC6399443 DOI: 10.1038/s41598-019-40188-3] [Citation(s) in RCA: 41] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2018] [Accepted: 02/05/2019] [Indexed: 01/21/2023] Open
Abstract
Homotopic connectivity (HC) is the connectivity between mirror areas of the brain hemispheres. It can exhibit a marked and functionally relevant spatial variability, and can be perturbed by several pathological conditions. The voxel-mirrored homotopic connectivity (VMHC) is a technique devised to enquire this pattern of brain organization, based on resting state functional connectivity. Since functional connectivity can be revealed also in a meta-analytical fashion using co-activations, here we propose to calculate the meta-analytic homotopic connectivity (MHC) as the meta-analytic counterpart of the VMHC. The comparison between the two techniques reveals their general similarity, but also highlights regional differences associated with how HC varies from task to rest. Two main differences were found from rest to task: (i) regions known to be characterized by global hubness are more similar than regions displaying local hubness; and (ii) medial areas are characterized by a higher degree of homotopic connectivity, while lateral areas appear to decrease their degree of homotopic connectivity during task performance. These findings show that MHC can be an insightful tool to study how the hemispheres functionally interact during task and rest conditions.
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Affiliation(s)
- Lorenzo Mancuso
- Focus Lab, Department of Psychology, University of Turin, Turin, Italy
| | - Tommaso Costa
- GCS-fMRI, Koelliker Hospital and Department of Psychology, University of Turin, Turin, Italy.
- Focus Lab, Department of Psychology, University of Turin, Turin, Italy.
| | - Andrea Nani
- GCS-fMRI, Koelliker Hospital and Department of Psychology, University of Turin, Turin, Italy
- Focus Lab, Department of Psychology, University of Turin, Turin, Italy
| | - Jordi Manuello
- GCS-fMRI, Koelliker Hospital and Department of Psychology, University of Turin, Turin, Italy
- Focus Lab, Department of Psychology, University of Turin, Turin, Italy
| | - Donato Liloia
- GCS-fMRI, Koelliker Hospital and Department of Psychology, University of Turin, Turin, Italy
- Focus Lab, Department of Psychology, University of Turin, Turin, Italy
| | - Gabriele Gelmini
- Focus Lab, Department of Psychology, University of Turin, Turin, Italy
| | - Melissa Panero
- Focus Lab, Department of Psychology, University of Turin, Turin, Italy
| | - Sergio Duca
- GCS-fMRI, Koelliker Hospital and Department of Psychology, University of Turin, Turin, Italy
| | - Franco Cauda
- GCS-fMRI, Koelliker Hospital and Department of Psychology, University of Turin, Turin, Italy
- Focus Lab, Department of Psychology, University of Turin, Turin, Italy
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Fan Z, Chen X, Qi ZX, Li L, Lu B, Jiang CL, Zhu RQ, Yan CG, Chen L. Physiological significance of R-fMRI indices: Can functional metrics differentiate structural lesions (brain tumors)? NEUROIMAGE-CLINICAL 2019; 22:101741. [PMID: 30878611 PMCID: PMC6423471 DOI: 10.1016/j.nicl.2019.101741] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/02/2018] [Revised: 02/16/2019] [Accepted: 02/28/2019] [Indexed: 12/04/2022]
Abstract
Resting-state functional MRI (R-fMRI) research has recently entered the era of “big data”, however, few studies have provided a rigorous validation of the physiological underpinnings of R-fMRI indices. Although studies have reported that various neuropsychiatric disorders exhibit abnormalities in R-fMRI measures, these “biomarkers” have not been validated in differentiating structural lesions (brain tumors) as a concept proof. We enrolled 60 patients with intracranial tumors located in the unilateral cranialcavity and 60 matched normal controls to test whether R-fMRI indices can differentiate tumors, which represents a prerequisite for adapting such indices as biomarkers for neuropsychiatric disorders. Common R-fMRI indices of tumors and their counterpart control regions, which were defined as the contralateral normal areas (for amplitude of low frequency fluctuations (ALFF), fractional ALFF (fALFF), regional homogeneity (ReHo) and degree centrality (DC)) and ipsilateral regions surrounding the tumors (for voxel-mirrored homotopic connectivity (VMHC)), were comprehensively assessed. According to robust paired t-tests with a Bonferroni correction, only VMHC (Fisher's r-to-z transformed) could successfully differentiate substantial tumors from their counterpart normal regions in patients. Furthermore, ALFF and DC were not able to differentiate tumor from normal unless Z-standardization was employed. To validate the lower power of the between-subject design compared to the within-subject design, each metric was calculated in a matched control group, and robust two-sample t-tests were used to compare the patient tumors and the normal controls at the same place. Similarly, only VMHC succeeded in differentiating significant differences between tumors and the sham tumor areas of normal controls. This study tested the premise of R-fMRI biomarkers for differentiating lesions, and brings a new understanding to physical significance of the Z-standardization. R-fMRI indices could differentiate tumors, validating their physical availability. ALFF and DC could not differentiate tumors unless Z-standardization was employed. Within-subject design is more powerful for R-fMRI indices in differentiating tumors.
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Affiliation(s)
- Zhen Fan
- Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai Neurosurgical Clinical Center, Shanghai, China
| | - Xiao Chen
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Zeng-Xin Qi
- Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai Neurosurgical Clinical Center, Shanghai, China
| | - Le Li
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing, China; Magnetic Resonance Imaging Research Center, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
| | - Bin Lu
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Cong-Lin Jiang
- Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai Neurosurgical Clinical Center, Shanghai, China
| | - Ren-Qing Zhu
- Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai Neurosurgical Clinical Center, Shanghai, China
| | - Chao-Gan Yan
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, China; Magnetic Resonance Imaging Research Center, Institute of Psychology, Chinese Academy of Sciences, Beijing, China; Department of Child and Adolescent Psychiatry, NYU Langone Medical Center School of Medicine, New York, NY, USA.
| | - Liang Chen
- Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai Neurosurgical Clinical Center, Shanghai, China.
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Interhemispheric connectivity and hemispheric specialization in schizophrenia patients and their unaffected siblings. NEUROIMAGE-CLINICAL 2019; 21:101656. [PMID: 30660663 PMCID: PMC6412072 DOI: 10.1016/j.nicl.2019.101656] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/14/2018] [Revised: 12/13/2018] [Accepted: 01/03/2019] [Indexed: 11/20/2022]
Abstract
Hemispheric integration and specialization are two prominent organizational principles for macroscopic brain function. Impairments of interhemispheric cooperation have been reported in schizophrenia patients, but whether such abnormalities should be attributed to effects of illness or familial risk remains inconclusive. Moreover, it is unclear how abnormalities in interhemispheric connectivity impact hemispheric specialization. To address these questions, we performed magnetic resonance imaging (MRI) in a large cohort of 253 participants, including 84 schizophrenia patients, 106 of their unaffected siblings and 63 healthy controls. Interhemispheric connectivity and hemispheric specialization were calculated from resting-state functional connectivity, and compared across groups. Results showed that schizophrenia patients exhibit lower interhemispheric connectivity as compared to controls and siblings. In addition, patients showed higher levels of hemispheric specialization as compared to siblings. Level of interhemispheric connectivity and hemispheric specialization correlated with duration of illness in patients. No significant alterations were identified in siblings relative to controls on both measurements. Furthermore, alterations in interhemispheric connectivity correlated with changes in hemispheric specialization in patients relative to controls and siblings. Taken together, these results suggest that lower interhemispheric connectivity and associated abnormalities in hemispheric specialization are features of established illness, rather than an expression of preexistent familial risk for schizophrenia.
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Cognitive Deficit-Related Interhemispheric Asynchrony within the Medial Hub of the Default Mode Network Aids in Classifying the Hyperthyroid Patients. Neural Plast 2018; 2018:9023604. [PMID: 30532774 PMCID: PMC6250039 DOI: 10.1155/2018/9023604] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2018] [Accepted: 09/30/2018] [Indexed: 12/28/2022] Open
Abstract
Background and Purpose Recent studies suggest that abnormal structure and function in the brain network were related to cognitive and emotional impairment in hyperthyroid patients (HPs). The association between altered voxel-mirrored homotopic connectivity (VMHC) and neuropsychological impairment in HPs remains unclear. This study is aimed at investigating the association between the disrupted functional coordination and psychological dysfunction in hyperthyroidism. Method Thirty-three hyperthyroid patients and thirty-three matched healthy controls (HCs) were recruited, and they received resting-state functional magnetic resonance imaging (fMRI) scans and neuropsychological evaluation. The VMHC value was computed to reveal the functional coordination between homotopic regions in both groups. The neurobehavioral relevancy method was employed to explore the relationship between the altered VMHC and emotional, cognition measures. Further receiver operating characteristic (ROC) curve analysis was adopted to examine the power of changed regional VMHC in classifying the patients with hyperthyroidism. Results Compared with the HCs, the HPs exhibited significantly declined VMHC values in the bilateral medial frontal gyrus (MeFG). The interhemispheric asynchrony in the MeFG was positively correlated with Z scores of episodic memory. The ROC analysis further determined that abnormal VMHC in the MeFG could efficiently distinguish the HPs from the HCs (area under the curve (AUC) = 0.808, P < 0.001). Conclusion The altered interhemispheric coordination in the hub of the default mode network may implicated in the modulation of episodic memory in HPs patients and the distinct feature of the interhemispheric asynchrony may be treated as a potential target for the early recognition and intervention for the HPs with cognitive impairments. Clinical Trial Registration This is a study of the neurological basis for dysfunction of mood and cognition in hyperthyroid patients: a resting-state fMRI study (registration number: ChiCTR-OOC-16008607).
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Nicotine in action: cigarette smoking modulated homotopic functional connectivity in schizophrenia. Brain Imaging Behav 2018; 13:1612-1623. [DOI: 10.1007/s11682-018-0001-3] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
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Zhu J, Zhu DM, Qian Y, Li X, Yu Y. Altered spatial and temporal concordance among intrinsic brain activity measures in schizophrenia. J Psychiatr Res 2018; 106:91-98. [PMID: 30300826 DOI: 10.1016/j.jpsychires.2018.09.015] [Citation(s) in RCA: 18] [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: 06/15/2018] [Revised: 09/18/2018] [Accepted: 09/28/2018] [Indexed: 01/10/2023]
Abstract
Various data-driven voxel-wise measures derived from resting-state functional magnetic resonance imaging (rs-fMRI) have been developed to characterize spontaneous brain activity. These measures have been widely applied to explore brain functional changes in schizophrenia and have enjoyed significant success in unraveling the neural mechanisms of this disorder. However, their spatial and temporal coupling alterations in schizophrenia remain largely unknown. To address this issue, 88 schizophrenia patients and 116 gender- and age-matched healthy controls underwent rs-fMRI examinations. Kendall's W was used to calculate volume-wise (across voxels) and voxel-wise (across time windows) concordance among multiple commonly used measures, including fractional amplitude of low frequency fluctuations, regional homogeneity, voxel-mirrored homotopic connectivity, degree centrality and global signal connectivity. Inter-group differences in the concordance were investigated. Results revealed that whole gray matter volume-wise concordance was reduced in schizophrenia patients relative to healthy controls. Although two groups showed similar spatial distributions of the voxel-wise concordance, quantitative comparison analysis revealed that schizophrenia patients exhibited decreased voxel-wise concordance in gray matter areas spanning the bilateral frontal, parietal, occipital, temporal and insular cortices. In addition, these concordance changes were negatively correlated with onset age in schizophrenia patients. Our findings suggest that the concordance approaches may provide new insights into the neural mechanisms of schizophrenia and have the potential to be extended to neuropsychiatric disorders.
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Affiliation(s)
- Jiajia Zhu
- Department of Radiology, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, China
| | - Dao-Min Zhu
- Department of Sleep Disorders, Hefei Fourth People's Hospital, Hefei, 230022, China; Anhui Mental Health Center, Hefei, 230022, China
| | - Yinfeng Qian
- Department of Radiology, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, China
| | - Xiaohu Li
- Department of Radiology, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, China
| | - Yongqiang Yu
- Department of Radiology, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, China.
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Zhu F, Liu F, Guo W, Chen J, Su Q, Zhang Z, Li H, Fan X, Zhao J. Disrupted asymmetry of inter- and intra-hemispheric functional connectivity in patients with drug-naive, first-episode schizophrenia and their unaffected siblings. EBioMedicine 2018; 36:429-435. [PMID: 30241918 PMCID: PMC6197719 DOI: 10.1016/j.ebiom.2018.09.012] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2018] [Revised: 09/02/2018] [Accepted: 09/10/2018] [Indexed: 11/25/2022] Open
Abstract
Background Lack of normal asymmetry in the brain has been reported in patients with schizophrenia. However, it remains unclear whether disrupted asymmetry originates from inter-hemispheric functional connectivity (FC) and/or intra-hemispheric FC in this patient population. Methods Forty-four patients with drug-naive, first-episode schizophrenia, 42 unaffected siblings, and 44 healthy controls underwent resting-state functional magnetic resonance imaging (fMRI) scan. The parameter of asymmetry (PAS) and support vector machine (SVM) were used to analyze the data. Patients were treated with olanzapine for 8 weeks. Findings Compared with healthy controls, patients showed lower PAS scores in the left middle temporal gyrus (MTG)/inferior temporal gyrus (ITG), left posterior cingulate cortex (PCC)/precuneus and left angular gyrus, and higher PAS scores in the left precentral gyrus/postcentral gyrus. Unaffected siblings also showed lower PAS scores in the left MTG/ITG and left PCC/precuneus relative to healthy controls. Further, SVM analysis showed that a combination of the PAS scores in these two clusters in patients at baseline was able to predict clinical response after 8 weeks of olanzapine treatment with 77.27% sensitivity, 72.73% specificity, and 75.00% accuracy. Interpretation The present study suggests disrupted asymmetry of inter- and intra-hemispheric FC in drug-naive, first-episode schizophrenia; in addition, a reduced asymmetry of inter-hemispheric FC in the left MTG/ITG and left PCC/precuneus may serve as an endophenotype for schizophrenia, and may have clinical utility to predict response to olanzapine treatment. Fund The National Key R&D Program of China and the National Natural Science Foundation of China.
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Affiliation(s)
- Furong Zhu
- Department of Psychiatry, The Second Xiangya Hospital of Central South University, Changsha, Hunan 410011, China
| | - Feng Liu
- Department of Radiology, Tianjin Medical University General Hospital, Tianjin 300000, China
| | - Wenbin Guo
- Department of Psychiatry, The Second Xiangya Hospital of Central South University, Changsha, Hunan 410011, China.
| | - Jindong Chen
- Department of Psychiatry, The Second Xiangya Hospital of Central South University, Changsha, Hunan 410011, China
| | - Qinji Su
- Mental Health Center, The Second Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi 530007, China
| | - Zhikun Zhang
- Mental Health Center, The Second Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi 530007, China
| | - Huabing Li
- Department of Radiology, The Second Xiangya Hospital of Central South University, Changsha, Hunan 410011, China
| | - Xiaoduo Fan
- University of Massachusetts Medical School, UMass Memorial Medical Center, One Biotech, Suite 100, 365 Plantation Street, Worcester, MA 01605, United States.
| | - Jingping Zhao
- Department of Psychiatry, The Second Xiangya Hospital of Central South University, Changsha, Hunan 410011, China
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