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Lu Q, Chen J, Wang Y, Huang L, Jiang Z, Nguchu BA, Chen S, Qiu B, Wang X. Cerebellar Structural Abnormality in Autism Spectrum Disorder: A Magnetic Resonance Imaging Study. Psychiatry Investig 2023; 20:334-340. [PMID: 37098660 PMCID: PMC10151665 DOI: 10.30773/pi.2022.0254] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/21/2022] [Accepted: 01/15/2023] [Indexed: 04/27/2023] Open
Abstract
OBJECTIVE This study uses structural magnetic resonance imaging to explore changes in the cerebellar lobules in patients with autism spectrum disorder (ASD) and further analyze the correlation between cerebellar structural changes and clinical symptoms of ASD. METHODS A total of 75 patients with ASD and 97 typically developing (TD) subjects from Autism Brain Imaging Data Exchange dataset were recruited. We adopted an advanced automatic cerebellar lobule segmentation technique called CEREbellum Segmentation to segment each cerebellar hemisphere into 12 lobules. Normalized cortical thickness of each lobule was recorded, and group differences in the cortical measures were evaluated. Correlation analysis was also performed between the normalized cortical thickness and the score of Autism Diagnostic Interview-Revised. RESULTS Results from analysis of variance showed that the normalized cortical thickness of the ASD group differed significantly from that of the TD group; specifically, the ASD group had lower normalized cortical thickness than the TD group. Post-hoc analysis revealed that the differences were more predominant in the left lobule VI, left lobule Crus I and left lobule X, and in the right lobule VI and right lobule Crus I. Lowered normalized cortical thickness in the left lobule Crus I in the ASD patients correlated positively with the abnormality of development evident at or before 36 months subscore. CONCLUSION These results suggest abnormal development of cerebellar lobule structures in ASD patients, and such abnormality might significantly influence the pathogenesis of ASD. These findings provide new insights into the neural mechanisms of ASD, which may be clinically relevant to ASD diagnosis.
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Affiliation(s)
- Qifang Lu
- School of Clinical Medicine, Anhui Medical College, Anhui, China
| | - Jin Chen
- School of Clinical Medicine, Anhui Medical College, Anhui, China
| | - Yanming Wang
- Center for Biomedical Imaging, University of Science and Technology of China, Anhui, China
| | - Li Huang
- School of Clinical Medicine, Anhui Medical College, Anhui, China
| | - Zhoufan Jiang
- Center for Biomedical Imaging, University of Science and Technology of China, Anhui, China
| | | | - Shishuo Chen
- Center for Biomedical Imaging, University of Science and Technology of China, Anhui, China
| | - Bensheng Qiu
- Center for Biomedical Imaging, University of Science and Technology of China, Anhui, China
| | - Xiaoxiao Wang
- Center for Biomedical Imaging, University of Science and Technology of China, Anhui, China
- Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Anhui, China
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Liu J, Nguchu BA, Liu D, Qi Y, Aili X, Han S, Gao Y, Wang X, Qiao H, Cai C, Huang X, Li H. Longitudinal white matter alterations in SIVmac239-infected rhesus monkeys with and without regular cART treatment. Front Immunol 2023; 13:1067795. [PMID: 36713432 PMCID: PMC9879061 DOI: 10.3389/fimmu.2022.1067795] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2022] [Accepted: 12/19/2022] [Indexed: 01/15/2023] Open
Abstract
Objective To use SIV-mac239-infected Chinese rhesus monkeys to study white matter changes with and without regular combined antiretroviral therapy (cART) and the relationships between the changes and clinical results. Methods Diffusion tensor imaging (DTI) data were collected at baseline and 10 days, 4 weeks, 12 weeks, 24 weeks, and 36 weeks after viral inoculation. Plasma CD4 T cell counts, CD4/CD8 ratio, plasma viral load, and cerebrospinal fluid (CSF) viral load were collected at baseline and 1 week, 5 weeks, 12 weeks, 24 weeks, and 36 weeks after viral inoculation. Microstructural characteristics were examined within 76 white matter areas defined by the DTI-white matter (WM) atlas for rhesus macaques. Corrections for multiple comparisons were performed using a false discovery rate (p < 0.05, FDR). Correlation analyzes between imaging markers and clinical markers (plasma CD4 T cell counts, CD4/CD8 ratio, plasma viral load, and cerebral spinal fluid viral load) were performed using Pearson correlations. Results White matter changes in SIV-infected macaques were detected in different brain regions as early as 4 weeks after inoculation. As time progressed, cART reversed, ameliorated, or even enhanced the effects. The CD4 T cell count was mainly associated with DTI metrics before cART, while the CD4/CD8 ratio was associated with white matter changes with and without cART. Viral load was positively associated with mean diffusivity in HIV patients without cART, and the opposite results were seen in HIV patients with cART. Conclusion SIV-mac239 infection may be an ideal tool for studying HIV-induced changes in the brain. The first white matter changes appeared in a structure adjacent to the periventricular area as early as 4 weeks after inoculation. As time progressed, cART had different effects on different regions, reversing, attenuating, or even progressing the pathology. Moreover, these changes were closely related to the CD4/CD8 ratio and viral load, even after cART.
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Affiliation(s)
- Jiaojiao Liu
- Department of Radiology, Beijing YouAn Hospital, Capital Medical University, Beijing, China
| | | | - Dan Liu
- Department of Radiology, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Yu Qi
- Department of Radiology, Beijing YouAn Hospital, Capital Medical University, Beijing, China
| | - Xire Aili
- Beijing Advanced Innovation Centre for Biomedical Engineering, Beihang University, Beijing, China
| | - Shuai Han
- Department of Radiology, Beijing YouAn Hospital, Capital Medical University, Beijing, China
| | - Yuxun Gao
- Department of Radiology, Beijing YouAn Hospital, Capital Medical University, Beijing, China
| | - Xiaoxiao Wang
- Center for Biomedical Imaging, University of Science and Technology of China, Hefei, China
| | - Hongwei Qiao
- Institute of Laboratory Animal Sciences, Chinese Academy of Medical Sciences, Beijing, China
| | - Chao Cai
- Beijing YouAn Hospital, Capital Medical University, Beijing, China
| | - Xiaojie Huang
- Clinical and Research Center for Infectious Diseases, Beijing YouAn Hospital, Capital Medical University, Beijing, China,*Correspondence: Xiaojie Huang, ; Hongjun Li,
| | - Hongjun Li
- Department of Radiology, Beijing YouAn Hospital, Capital Medical University, Beijing, China,Beijing Advanced Innovation Centre for Biomedical Engineering, Beihang University, Beijing, China,*Correspondence: Xiaojie Huang, ; Hongjun Li,
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Xu J, Su Y, Fu J, Wang X, Nguchu BA, Qiu B, Dong Q, Cheng X. Glymphatic dysfunction correlates with severity of small vessel disease and cognitive impairment in cerebral amyloid angiopathy. Eur J Neurol 2022; 29:2895-2904. [PMID: 35712978 DOI: 10.1111/ene.15450] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2022] [Accepted: 06/10/2022] [Indexed: 11/29/2022]
Abstract
BACKGROUND Cerebral amyloid angiopathy (CAA) is characterized by β-amyloid deposition in cortical and leptomeningeal arterioles, which might result from glymphatic dysfunction. We aimed to explore glymphatic function in CAA using the non-invasive diffusion tensor image analysis along the perivascular space (DTI-ALPS) method. METHODS We prospectively recruited 63 patients with CAA, and 70 age- and sex-matched normal controls. We applied Mini-Mental State Examination (MMSE) and Montreal Cognitive Assessment (MoCA) to screen global cognitive status. We conducted MRI scans to calculate the index for diffusivity along the perivascular space (ALPS-index), and linear regression models to assess its relationships with cerebral small vessel disease (CSVD) markers, cognitive status, and blood biomarkers. We applied Cox proportional hazard models to explore the role of baseline ALPS-index in disease recurrence. RESULTS Patients with CAA exhibited a lower ALPS-index than controls globally (p < 0.001). Besides, the lower ALPS-index was related to more enlarged perivascular space in basal ganglia (p = 0.026), more lacunes (p < 0.001), higher white matter hyperintensities Fazekas score (p = 0.049), elevated total MRI burden of CSVD (p = 0.034), and lower MMSE (p = 0.001) as well as MoCA (p < 0.001) in CAA. During a median follow-up of 4.1 years, higher ALPS-index was associated with lower disease recurrence (p=0.022). ALPS-index was also negatively correlated with serum soluble intercellular adhesion molecule-1, neurofilament light and chitinase-3-like protein 1 in CAA. CONCLUSIONS Patients with CAA showed impaired glymphatic function. ALPS-index was significantly related to CSVD severity, cognitive impairment, and disease recurrence in CAA.
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Affiliation(s)
- Jiajie Xu
- Department of Neurology, National Center for Neurological Disorders, National Clinical Research Centre for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China
| | - Ya Su
- Department of Neurology, National Center for Neurological Disorders, National Clinical Research Centre for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China
| | - Jiayu Fu
- Department of Neurology, National Center for Neurological Disorders, National Clinical Research Centre for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China
| | - Xiaoxiao Wang
- Hefei National Lab for Physical Sciences at the Microscale and the Centers for Biomedical Engineering, University of Science and Technology of China, Hefei, China
| | - Benedictor Alexander Nguchu
- Hefei National Lab for Physical Sciences at the Microscale and the Centers for Biomedical Engineering, University of Science and Technology of China, Hefei, China
| | - Bensheng Qiu
- Hefei National Lab for Physical Sciences at the Microscale and the Centers for Biomedical Engineering, University of Science and Technology of China, Hefei, China
| | - Qiang Dong
- Department of Neurology, National Center for Neurological Disorders, National Clinical Research Centre for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China.,State Key Laboratory of Medical Neurobiology, Fudan University, Shanghai, China
| | - Xin Cheng
- Department of Neurology, National Center for Neurological Disorders, National Clinical Research Centre for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China
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de Dieu Uwisengeyimana J, Nguchu BA, Wang Y, Zhang D, Liu Y, Jiang Z, Wang X, Qiu B. Longitudinal resting-state functional connectivity and regional brain atrophy-based biomarkers of preclinical cognitive impairment in healthy old adults. Aging Clin Exp Res 2022; 34:1303-1313. [PMID: 35023051 DOI: 10.1007/s40520-021-02067-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2021] [Accepted: 12/27/2021] [Indexed: 11/28/2022]
Abstract
BACKGROUND Intervention against age-related neurodegenerative diseases may be difficult once extensive structural and functional deteriorations have already occurred in the brain. AIM Investigating 6-year longitudinal changes and implications of regional brain atrophy and functional connectivity in the triple-network model as biomarkers of preclinical cognitive impairment in healthy aging. METHODS We acquired longitudinal cognitive scores and magnetic resonance imaging (MRI) data from 74 healthy old adults. Resting-state functional MRI (rs-fMRI) analysis was conducted using FSL6.0.1 to examine functional connectivity changes and regional brain morphometries were quantified using FreeSurfer5.3. Finally, we cross-validated and compared two support vector machine (SVM) regression models to predict future 6-year cognition score from the baseline regional brain atrophy and resting-state functional connectivity (rs-FC) measures. RESULTS After a 6-year follow-up, our results (P < 0.05-corrected) indicated significant connectivity reduction within all the three brain networks, significant differences in regional brain volumes and cortical thickness. We also observed significant improvement in episodic memory and significant decline in executive functions. Finally, comparing the two models, we observed that regional brain atrophy predictors were more efficient in approximating future 6-year cognitive scores (R = 0.756, P < 0.0001) than rs-FC predictors (R = 0.6, P < 0.0001). CONCLUSION This study used longitudinal data to keep subject variability low and to increase the validity of the results. We demonstrated significant changes in structural and functional MRI over 6 years. Our findings present a potential neuroimaging-based biomarker to detect cognitive impairment and prevent risks of neurodegenerative diseases in healthy old adults.
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Affiliation(s)
- Jean de Dieu Uwisengeyimana
- Hefei National Lab for Physical Sciences at the Microscale and Centers for Biomedical Engineering, University of Science and Technology of China, Hefei, 230026, Anhui, China
- Department of Electrical and Electronics Engineering, College of Science and Technology, University of Rwanda, Kigali, Rwanda
| | - Benedictor Alexander Nguchu
- Hefei National Lab for Physical Sciences at the Microscale and Centers for Biomedical Engineering, University of Science and Technology of China, Hefei, 230026, Anhui, China
| | - Yaming Wang
- Hefei National Lab for Physical Sciences at the Microscale and Centers for Biomedical Engineering, University of Science and Technology of China, Hefei, 230026, Anhui, China
| | - Du Zhang
- Hefei National Lab for Physical Sciences at the Microscale and Centers for Biomedical Engineering, University of Science and Technology of China, Hefei, 230026, Anhui, China
| | - Yanpeng Liu
- Hefei National Lab for Physical Sciences at the Microscale and Centers for Biomedical Engineering, University of Science and Technology of China, Hefei, 230026, Anhui, China
| | - Zhoufan Jiang
- Hefei National Lab for Physical Sciences at the Microscale and Centers for Biomedical Engineering, University of Science and Technology of China, Hefei, 230026, Anhui, China
| | - Xiaoxiao Wang
- Hefei National Lab for Physical Sciences at the Microscale and Centers for Biomedical Engineering, University of Science and Technology of China, Hefei, 230026, Anhui, China.
| | - Bensheng Qiu
- Hefei National Lab for Physical Sciences at the Microscale and Centers for Biomedical Engineering, University of Science and Technology of China, Hefei, 230026, Anhui, China.
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Nguchu BA, Zhao J, Wang Y, de Dieu Uwisengeyimana J, Wang X, Qiu B, Li H. Altered Glymphatic System in Middle-Aged cART-Treated Patients With HIV: A Diffusion Tensor Imaging Study. Front Neurol 2022; 13:819594. [PMID: 35359662 PMCID: PMC8963418 DOI: 10.3389/fneur.2022.819594] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2021] [Accepted: 02/01/2022] [Indexed: 11/25/2022] Open
Abstract
Objective: The brain relies on the glymphatic system to clear metabolic wastes and maintain brain homeostasis to fulfill its functions better. Yet, the complexity of the glymphatic flow and clearance and its changes in HIV infection and its role in neurocognitive dysfunction remain poorly understood. This study aims to explore the impact of HIV and combination antiretroviral therapy (cART) on the glymphatic system and establish a potential biomarker of HIV-associated neurocognitive disorders (HAND). Methods Here, we examined the glymphatic profiles of middle-aged virosuppressed patients with HIV (n = 27) receiving cART over 1–6 years and healthy controls (n = 28) along the perivascular space (PVS) using diffusion tensor image analysis along the perivascular space (ALPS) with guided and unguided approaches. We later combined data from these analyses to investigate MRI glymphatic correlates of cognitive impairment and other clinical tests of HIV (CD4+ T-cell counts and CD4+/CD8+ ratio). Results We found that glymphatic function as measured by the ALPS index increased significantly in the right and left PVSs of patients with HIV having cART. On antiretroviral therapy, a changing pattern in glymphatic clearance function in patients with HIV having cART correlated with attention and working memory. Duration on cART was also associated with cognitive performances of abstract and executive function and learning and memory. Conclusion These findings provide MRI evidence of the presence of HIV-induced changes in the glymphatic flow and clearance, which might underlie cognitive impairment among patients with HIV having cART. An increase in the glymphatic activity might reflect a compensatory mechanism to regulate microenvironment homeostasis compromised by HIV. This compensation might be necessary to maintain the proper functioning of the brain while coping with HIV pathology. These findings also shed light on the clinical importance of evaluating glymphatic function based on the ALPS index and suggest that improving the glymphatic system may serve as an alternative therapeutic strategy for HAND.
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Affiliation(s)
| | - Jing Zhao
- Department of Radiology, Beijing Youan Hospital, Capital Medical University, Beijing, China
- School of Biological Science and Medical Engineering, Beihang University, Beijing, China
| | - Yanming Wang
- Center for Biomedical Imaging, University of Science and Technology of China, Hefei, China
| | | | - Xiaoxiao Wang
- Center for Biomedical Imaging, University of Science and Technology of China, Hefei, China
| | - Bensheng Qiu
- Center for Biomedical Imaging, University of Science and Technology of China, Hefei, China
- *Correspondence: Bensheng Qiu
| | - Hongjun Li
- Department of Radiology, Beijing Youan Hospital, Capital Medical University, Beijing, China
- School of Biological Science and Medical Engineering, Beihang University, Beijing, China
- Hongjun Li
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Komolafe TE, Cao Y, Nguchu BA, Monkam P, Olaniyi EO, Sun H, Zheng J, Yang X. Diagnostic Test Accuracy of Deep Learning Detection of COVID-19: A Systematic Review and Meta-Analysis. Acad Radiol 2021; 28:1507-1523. [PMID: 34649779 PMCID: PMC8445811 DOI: 10.1016/j.acra.2021.08.008] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2021] [Revised: 06/18/2021] [Accepted: 08/12/2021] [Indexed: 12/11/2022]
Abstract
RATIONALE AND OBJECTIVE To perform a meta-analysis to compare the diagnostic test accuracy (DTA) of deep learning (DL) in detecting coronavirus disease 2019 (COVID-19), and to investigate how network architecture and type of datasets affect DL performance. MATERIALS AND METHODS We searched PubMed, Web of Science and Inspec from January 1, 2020, to December 3, 2020, for retrospective and prospective studies on deep learning detection with at least reported sensitivity and specificity. Pooled DTA was obtained using random-effect models. Sub-group analysis between studies was also carried out for data source and network architectures. RESULTS The pooled sensitivity and specificity were 91% (95% confidence interval [CI]: 88%, 93%; I2 = 69%) and 92% (95% CI: 88%, 94%; I2 = 88%), respectively for 19 studies. The pooled AUC and diagnostic odds ratio (DOR) were 0.95 (95% CI: 0.88, 0.92) and 112.5 (95% CI: 57.7, 219.3; I2 = 90%) respectively. The overall accuracy, recall, F1-score, LR+ and LR- are 89.5%, 89.5%, 89.7%, 23.13 and 0.13. Sub-group analysis shows that the sensitivity and DOR significantly vary with the type of network architectures and sources of data with low heterogeneity are (I2 = 0%) and (I2 = 18%) for ResNet architecture and single-source datasets, respectively. CONCLUSION The diagnosis of COVID-19 via deep learning has achieved incredible performance, and the source of datasets, as well as network architectures, strongly affect DL performance.
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Affiliation(s)
- Temitope Emmanuel Komolafe
- School of Biomedical Engineering (Suzhou) (T.E.K.,Y.C., H.S.), Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, 230026, China; Department of Medical Imaging (T.E.K.,Y.C., H.S., J.Z., X.Y.), Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, 215163, China; Hefei National Lab for Physical Sciences at the Microscale and Centres for Biomedical Engineering (B.A.N.), University of Science and Technology of China, Hefei, 230026, China; EasySignal Group, Department of Automation (P.M.), Tsinghua University, Beijing 100084, China; Department of Biomedical Engineering (E.O.O.), Shenzhen University, Shenzhen, 518060, China; Jinhua Laboratory (X.Y.), Foshan, 528000, China
| | - Yuzhu Cao
- School of Biomedical Engineering (Suzhou) (T.E.K.,Y.C., H.S.), Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, 230026, China; Department of Medical Imaging (T.E.K.,Y.C., H.S., J.Z., X.Y.), Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, 215163, China; Hefei National Lab for Physical Sciences at the Microscale and Centres for Biomedical Engineering (B.A.N.), University of Science and Technology of China, Hefei, 230026, China; EasySignal Group, Department of Automation (P.M.), Tsinghua University, Beijing 100084, China; Department of Biomedical Engineering (E.O.O.), Shenzhen University, Shenzhen, 518060, China; Jinhua Laboratory (X.Y.), Foshan, 528000, China
| | - Benedictor Alexander Nguchu
- School of Biomedical Engineering (Suzhou) (T.E.K.,Y.C., H.S.), Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, 230026, China; Department of Medical Imaging (T.E.K.,Y.C., H.S., J.Z., X.Y.), Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, 215163, China; Hefei National Lab for Physical Sciences at the Microscale and Centres for Biomedical Engineering (B.A.N.), University of Science and Technology of China, Hefei, 230026, China; EasySignal Group, Department of Automation (P.M.), Tsinghua University, Beijing 100084, China; Department of Biomedical Engineering (E.O.O.), Shenzhen University, Shenzhen, 518060, China; Jinhua Laboratory (X.Y.), Foshan, 528000, China
| | - Patrice Monkam
- School of Biomedical Engineering (Suzhou) (T.E.K.,Y.C., H.S.), Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, 230026, China; Department of Medical Imaging (T.E.K.,Y.C., H.S., J.Z., X.Y.), Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, 215163, China; Hefei National Lab for Physical Sciences at the Microscale and Centres for Biomedical Engineering (B.A.N.), University of Science and Technology of China, Hefei, 230026, China; EasySignal Group, Department of Automation (P.M.), Tsinghua University, Beijing 100084, China; Department of Biomedical Engineering (E.O.O.), Shenzhen University, Shenzhen, 518060, China; Jinhua Laboratory (X.Y.), Foshan, 528000, China
| | - Ebenezer Obaloluwa Olaniyi
- School of Biomedical Engineering (Suzhou) (T.E.K.,Y.C., H.S.), Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, 230026, China; Department of Medical Imaging (T.E.K.,Y.C., H.S., J.Z., X.Y.), Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, 215163, China; Hefei National Lab for Physical Sciences at the Microscale and Centres for Biomedical Engineering (B.A.N.), University of Science and Technology of China, Hefei, 230026, China; EasySignal Group, Department of Automation (P.M.), Tsinghua University, Beijing 100084, China; Department of Biomedical Engineering (E.O.O.), Shenzhen University, Shenzhen, 518060, China; Jinhua Laboratory (X.Y.), Foshan, 528000, China
| | - Haotian Sun
- School of Biomedical Engineering (Suzhou) (T.E.K.,Y.C., H.S.), Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, 230026, China; Department of Medical Imaging (T.E.K.,Y.C., H.S., J.Z., X.Y.), Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, 215163, China; Hefei National Lab for Physical Sciences at the Microscale and Centres for Biomedical Engineering (B.A.N.), University of Science and Technology of China, Hefei, 230026, China; EasySignal Group, Department of Automation (P.M.), Tsinghua University, Beijing 100084, China; Department of Biomedical Engineering (E.O.O.), Shenzhen University, Shenzhen, 518060, China; Jinhua Laboratory (X.Y.), Foshan, 528000, China
| | - Jian Zheng
- School of Biomedical Engineering (Suzhou) (T.E.K.,Y.C., H.S.), Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, 230026, China; Department of Medical Imaging (T.E.K.,Y.C., H.S., J.Z., X.Y.), Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, 215163, China; Hefei National Lab for Physical Sciences at the Microscale and Centres for Biomedical Engineering (B.A.N.), University of Science and Technology of China, Hefei, 230026, China; EasySignal Group, Department of Automation (P.M.), Tsinghua University, Beijing 100084, China; Department of Biomedical Engineering (E.O.O.), Shenzhen University, Shenzhen, 518060, China; Jinhua Laboratory (X.Y.), Foshan, 528000, China
| | - Xiaodong Yang
- School of Biomedical Engineering (Suzhou) (T.E.K.,Y.C., H.S.), Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, 230026, China; Department of Medical Imaging (T.E.K.,Y.C., H.S., J.Z., X.Y.), Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, 215163, China; Hefei National Lab for Physical Sciences at the Microscale and Centres for Biomedical Engineering (B.A.N.), University of Science and Technology of China, Hefei, 230026, China; EasySignal Group, Department of Automation (P.M.), Tsinghua University, Beijing 100084, China; Department of Biomedical Engineering (E.O.O.), Shenzhen University, Shenzhen, 518060, China; Jinhua Laboratory (X.Y.), Foshan, 528000, China.
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Wang Y, Wang X, Shi H, Xia L, Dong J, Nguchu BA, Uwisengeyimana JDD, Liu Y, Zhang D, Feng L, Qiu B. Microstructural properties of major white matter tracts in constant exotropia before and after strabismus surgery. Br J Ophthalmol 2021; 106:870-877. [PMID: 33468491 DOI: 10.1136/bjophthalmol-2020-317948] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2020] [Revised: 12/08/2020] [Accepted: 01/04/2021] [Indexed: 11/04/2022]
Abstract
AIMS The purpose of this study was to explore the microstructural properties of the major white matter (WM) tracts in constant exotropia (XT) before and after strabismus surgery, and further investigate the association between microstructural alterations and the ocular dominance (OD). METHODS We collected diffusion tensor imaging data of patients with XT before (n=19) and after (n=15) strabismus surgery and 20 healthy controls and evaluated OD and stereopsis. The probabilistic streamline tractography of the 24 major WM tracts was reconstructed by using the automated fibre quantification package. Fractional anisotropy and mean diffusivity (MD) along each tract were estimated, and their differences between the groups were examined. Furthermore, we evaluated the relationship between OD and the absolute value of altered microstructural parameters. RESULTS While all postoperative XT patients restored normal stereopsis, most of their OD remained aberrant (9 out of 11). Compared with that of preoperation, the MD of postoperative patients decreased significantly along left anterior thalamic radiation (ATR), left arcuate fasciculus (AF), left corticospinal tract (CST), left cingulum cingulate (CGC) and left inferior fronto-occipital fasciculus. Moreover, OD was negatively correlated with the absolute value of MD changes in left ATR, left AF, left CST and left CGC. CONCLUSION Microstructural alterations after surgery in the visuospatial network tracts may contribute to the stereopsis restoration. Additionally, the results of the correlation analysis may signify that the balanced binocular input may be more conducive for the restoration and improvement of binocular visual function, including stereopsis. Thus, restoring normal ocular balance after surgical correction may be necessary to achieve more substantial improvements.
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Affiliation(s)
- Yanming Wang
- Hefei National Laboratory for Physical Sciences at the Microscale and the Centers for Biomedical Engineering, University of Science and Technology of China, Hefei, Anhui, China
| | - Xiaoxiao Wang
- Hefei National Laboratory for Physical Sciences at the Microscale and the Centers for Biomedical Engineering, University of Science and Technology of China, Hefei, Anhui, China
| | - Hongmei Shi
- Department of Ophthalmology, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China.,Department of Ophthalmology, The People's Hospital of Bozhou, Bozhou, Anhui, China
| | - Lin Xia
- Department of Ophthalmology, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China
| | - Jiong Dong
- Department of Ophthalmology, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China
| | - Benedictor Alexander Nguchu
- Hefei National Laboratory for Physical Sciences at the Microscale and the Centers for Biomedical Engineering, University of Science and Technology of China, Hefei, Anhui, China
| | - Jean De Dieu Uwisengeyimana
- Hefei National Laboratory for Physical Sciences at the Microscale and the Centers for Biomedical Engineering, University of Science and Technology of China, Hefei, Anhui, China
| | - Yanpeng Liu
- Hefei National Laboratory for Physical Sciences at the Microscale and the Centers for Biomedical Engineering, University of Science and Technology of China, Hefei, Anhui, China
| | - Du Zhang
- Hefei National Laboratory for Physical Sciences at the Microscale and the Centers for Biomedical Engineering, University of Science and Technology of China, Hefei, Anhui, China
| | - Lixia Feng
- Department of Ophthalmology, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China
| | - Bensheng Qiu
- Hefei National Laboratory for Physical Sciences at the Microscale and the Centers for Biomedical Engineering, University of Science and Technology of China, Hefei, Anhui, China
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Nguchu BA, Zhao J, Wang Y, Li Y, Wei Y, Uwisengeyimana JDD, Wang X, Qiu B, Li H. Atypical Resting-State Functional Connectivity Dynamics Correlate With Early Cognitive Dysfunction in HIV Infection. Front Neurol 2021; 11:606592. [PMID: 33519683 PMCID: PMC7841016 DOI: 10.3389/fneur.2020.606592] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2020] [Accepted: 12/01/2020] [Indexed: 01/20/2023] Open
Abstract
Purpose: Previous studies have shown that HIV affects striato-cortical regions, leading to persisting cognitive impairment in 30-70% of the infected individuals despite combination antiretroviral therapy. This study aimed to investigate brain functional dynamics whose deficits might link to early cognitive decline or immunologic deterioration. Methods: We applied sliding windows and K-means clustering to fMRI data (HIV patients with asymptomatic neurocognitive impairment and controls) to construct dynamic resting-state functional connectivity (RSFC) maps and identify states of their reoccurrences. The average and variability of dynamic RSFC, and the dwelling time and state transitioning of each state were evaluated. Results: HIV patients demonstrated greater variability in RSFC between the left pallidum and regions of right pre-central and post-central gyri, and between the right supramarginal gyrus and regions of the right putamen and left pallidum. Greater variability was also found in the frontal RSFC of pars orbitalis of the left inferior frontal gyrus and right superior frontal gyrus (medial). While deficits in learning and memory recall of HIV patients related to greater striato-sensorimotor variability, deficits in attention and working memory were associated with greater frontal variability. Greater striato-parietal variability presented a strong link with immunologic function (CD4+/CD8+ ratio). Furthermore, HIV-infected patients exhibited longer time and reduced transitioning in states typified by weaker connectivity in specific networks. CD4+T-cell counts of the HIV-patients were related to reduced state transitioning. Conclusion: Our findings suggest that HIV alters brain functional connectivity dynamics, which may underlie early cognitive impairment. These findings provide novel insights into our understanding of HIV pathology, complementing the existing knowledge.
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Affiliation(s)
- Benedictor Alexander Nguchu
- Hefei National Laboratory for Physical Sciences at the Microscale, Centers for Biomedical Engineering, University of Science and Technology of China, Hefei, China
| | - Jing Zhao
- Department of Radiology, Beijing Youan Hospital, Capital Medical University, Beijing, China
- School of Biological Science and Medical Engineering, Beihang University, Beijing, China
| | - Yanming Wang
- Hefei National Laboratory for Physical Sciences at the Microscale, Centers for Biomedical Engineering, University of Science and Technology of China, Hefei, China
| | - Yu Li
- Hefei National Laboratory for Physical Sciences at the Microscale, Centers for Biomedical Engineering, University of Science and Technology of China, Hefei, China
| | - Yarui Wei
- Hefei National Laboratory for Physical Sciences at the Microscale, Centers for Biomedical Engineering, University of Science and Technology of China, Hefei, China
| | - Jean de Dieu Uwisengeyimana
- Hefei National Laboratory for Physical Sciences at the Microscale, Centers for Biomedical Engineering, University of Science and Technology of China, Hefei, China
| | - Xiaoxiao Wang
- Hefei National Laboratory for Physical Sciences at the Microscale, Centers for Biomedical Engineering, University of Science and Technology of China, Hefei, China
| | - Bensheng Qiu
- Hefei National Laboratory for Physical Sciences at the Microscale, Centers for Biomedical Engineering, University of Science and Technology of China, Hefei, China
| | - Hongjun Li
- Department of Radiology, Beijing Youan Hospital, Capital Medical University, Beijing, China
- School of Biological Science and Medical Engineering, Beihang University, Beijing, China
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Liu Y, Xia Y, Wang X, Wang Y, Zhang D, Nguchu BA, He J, Wang Y, Yang L, Wang Y, Ying Y, Liang X, Zhao Q, Wu J, Liang Z, Ding D, Dong Q, Qiu B, Cheng X, Gao JH. White matter hyperintensities induce distal deficits in the connected fibers. Hum Brain Mapp 2021; 42:1910-1919. [PMID: 33417309 PMCID: PMC7978134 DOI: 10.1002/hbm.25338] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2020] [Revised: 12/20/2020] [Accepted: 12/25/2020] [Indexed: 12/20/2022] Open
Abstract
White matter hyperintensities (WMH) are common in elderly individuals and cause brain network deficits. However, it is still unclear how the global brain network is affected by the focal WMH. We aimed to investigate the diffusion of WMH-related deficits along the connecting white matters (WM). Brain magnetic resonance imaging data and neuropsychological evaluations of 174 participants (aged 74 ± 5 years) were collected and analyzed. For each participant, WMH lesions were segmented using a deep learning method, and 18 major WM tracts were reconstructed using automated quantitative tractography. The diffusion characteristics of distal WM tracts (with the WMH penumbra excluded) were calculated. Multivariable linear regression analysis was performed. We found that a high burden of tract-specific WMH was related to worse diffusion characteristics of distal WM tracts in a wide range of WM tracts, including the forceps major (FMA), forceps minor (FMI), anterior thalamic radiation (ATR), cingulum cingulate gyrus (CCG), corticospinal tract (CST), inferior longitudinal fasciculus (ILF), superior longitudinal fasciculus-parietal (SLFP), superior longitudinal fasciculus-temporal (SLFT), and uncinate fasciculus (UNC). Furthermore, a higher mean diffusivity (MD) of distal tracts was linked to worse attention and executive function in the FMI, right CCG, left ILF, SLFP, SLFT, and UNC. The effect of WMH on the microstructural integrity of WM tracts may propagate along tracts to distal regions beyond the penumbra and might eventually affect attention and executive function.
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Affiliation(s)
- Yanpeng Liu
- Hefei National Lab for Physical Sciences at the Microscale and the Centers for Biomedical Engineering, University of Science and Technology of China, Hefei, China
| | - Yiwei Xia
- Department of Neurology, National Clinical Research Centre for Aging and Medicine, Huashan Hospital, State Key Laboratory of Medical Neurobiology, Fudan University, Shanghai, China
| | - Xiaoxiao Wang
- Hefei National Lab for Physical Sciences at the Microscale and the Centers for Biomedical Engineering, University of Science and Technology of China, Hefei, China
| | - Yanming Wang
- Hefei National Lab for Physical Sciences at the Microscale and the Centers for Biomedical Engineering, University of Science and Technology of China, Hefei, China
| | - Du Zhang
- Hefei National Lab for Physical Sciences at the Microscale and the Centers for Biomedical Engineering, University of Science and Technology of China, Hefei, China
| | - Benedictor Alexander Nguchu
- Hefei National Lab for Physical Sciences at the Microscale and the Centers for Biomedical Engineering, University of Science and Technology of China, Hefei, China
| | - Jiajie He
- Hefei National Lab for Physical Sciences at the Microscale and the Centers for Biomedical Engineering, University of Science and Technology of China, Hefei, China
| | - Yi Wang
- Department of Neurology, National Clinical Research Centre for Aging and Medicine, Huashan Hospital, State Key Laboratory of Medical Neurobiology, Fudan University, Shanghai, China
| | - Lumeng Yang
- Department of Neurology, National Clinical Research Centre for Aging and Medicine, Huashan Hospital, State Key Laboratory of Medical Neurobiology, Fudan University, Shanghai, China
| | - Yiqing Wang
- Department of Neurology, National Clinical Research Centre for Aging and Medicine, Huashan Hospital, State Key Laboratory of Medical Neurobiology, Fudan University, Shanghai, China
| | - Yunqing Ying
- Department of Neurology, National Clinical Research Centre for Aging and Medicine, Huashan Hospital, State Key Laboratory of Medical Neurobiology, Fudan University, Shanghai, China
| | - Xiaoniu Liang
- Institute of Neurology, National Clinical Research Centre for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China
| | - Qianhua Zhao
- Institute of Neurology, National Clinical Research Centre for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China
| | - Jianjun Wu
- Department of Neurology, National Clinical Research Centre for Aging and Medicine, Huashan Hospital, State Key Laboratory of Medical Neurobiology, Fudan University, Shanghai, China.,Department of Neurology, Jing'an District Center Hospital, Shanghai, China
| | - Zonghui Liang
- Department of Radiology, Jing'an District Center Hospital, Shanghai, China
| | - Ding Ding
- Institute of Neurology, National Clinical Research Centre for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China
| | - Qiang Dong
- Department of Neurology, National Clinical Research Centre for Aging and Medicine, Huashan Hospital, State Key Laboratory of Medical Neurobiology, Fudan University, Shanghai, China
| | - Bensheng Qiu
- Hefei National Lab for Physical Sciences at the Microscale and the Centers for Biomedical Engineering, University of Science and Technology of China, Hefei, China
| | - Xin Cheng
- Department of Neurology, National Clinical Research Centre for Aging and Medicine, Huashan Hospital, State Key Laboratory of Medical Neurobiology, Fudan University, Shanghai, China
| | - Jia-Hong Gao
- Hefei National Lab for Physical Sciences at the Microscale and the Centers for Biomedical Engineering, University of Science and Technology of China, Hefei, China.,Center for MRI Research and Beijing City Key Lab for Medical Physics and Engineering, Peking University, Beijing, China.,McGovern Institute for Brain Research, Peking University, Beijing, China
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10
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Uwisengeyimana JDD, Nguchu BA, Wang Y, Zhang D, Liu Y, Qiu B, Wang X. Cognitive function and cerebellar morphometric changes relate to abnormal intra-cerebellar and cerebro-cerebellum functional connectivity in old adults. Exp Gerontol 2020; 140:111060. [PMID: 32814097 DOI: 10.1016/j.exger.2020.111060] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2020] [Revised: 08/11/2020] [Accepted: 08/12/2020] [Indexed: 02/06/2023]
Abstract
INTRODUCTION Numerous structural studies have already reported volumetric reduction in cerebellum with aging. However, there are still limited studies particularly focusing on analysis of the cerebellar resting state FC in old adults. Even so, the least related studies were unable to include some important cerebellar lobules due to limited cerebellum segmentation methods. OBJECTIVE The purpose of this study is to explore cognitive function in relation to cerebellar lobular morphometry and cortico-cerebellar connectivity changes in old adults' lifespan by incorporating previously undetected cerebellar lobules. METHODS This study includes a sample of 264 old adults subdivided into five cognitively normal age groups (G1 through G5). Cerebellum Segmentation (CERES) software was used to obtain morphometric measures and brain masks of all the 24 cerebellar lobules. We then defined individual lobules as seed regions and mapped the whole-brain to get functional connectivity maps. To analyze age group differences in cortico-cerebellar connectivity and cerebellar lobular volume, we used one way ANOVA and post hoc analysis was performed for multiple comparisons using Bonferroni method. RESULTS Our results report cerebellar lobular volumetric reduction, disrupted intra-cerebellar connectivity and significant differences in cortico-cerebellar resting state FC across age groups. In addition, our results show that disrupted FC between left Crus-II and right ACC relates to well emotion regulation and cognitive decline and is associated with poor performance on TMT-B and logical memory tests in older adults. CONCLUSION Overall, our findings confirm that as humans get older and older, the cerebellar lobular volumes as well as the cortico-cerebellar functional connectivity are affected and hence reduces cognition.
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Affiliation(s)
- Jean de Dieu Uwisengeyimana
- Centers for Biomedical Engineering, University of Science and Technology of China, Hefei, Anhui 230026, China; Department of Electrical and Electronics Engineering, College of Science and Technology, University of Rwanda, Kigali, Rwanda
| | - Benedictor Alexander Nguchu
- Centers for Biomedical Engineering, University of Science and Technology of China, Hefei, Anhui 230026, China
| | - Yanming Wang
- Centers for Biomedical Engineering, University of Science and Technology of China, Hefei, Anhui 230026, China
| | - Du Zhang
- Centers for Biomedical Engineering, University of Science and Technology of China, Hefei, Anhui 230026, China
| | - Yanpeng Liu
- Centers for Biomedical Engineering, University of Science and Technology of China, Hefei, Anhui 230026, China
| | - Bensheng Qiu
- Centers for Biomedical Engineering, University of Science and Technology of China, Hefei, Anhui 230026, China
| | - Xiaoxiao Wang
- Centers for Biomedical Engineering, University of Science and Technology of China, Hefei, Anhui 230026, China.
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11
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Li Y, Zhu Y, Nguchu BA, Wang Y, Wang H, Qiu B, Wang X. Dynamic Functional Connectivity Reveals Abnormal Variability and Hyper‐connected Pattern in Autism Spectrum Disorder. Autism Res 2019; 13:230-243. [DOI: 10.1002/aur.2212] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2019] [Revised: 09/08/2019] [Accepted: 09/10/2019] [Indexed: 12/19/2022]
Affiliation(s)
- Yu Li
- Center for Biomedical Engineering, University of Science and Technology of China Hefei China
| | - Yuying Zhu
- Center for Biomedical Engineering, University of Science and Technology of China Hefei China
- School of Information Engineering, Southwest University of Science and Technology Mianyang China
| | | | - Yanming Wang
- Center for Biomedical Engineering, University of Science and Technology of China Hefei China
| | - Huijuan Wang
- Center for Biomedical Engineering, University of Science and Technology of China Hefei China
| | - Bensheng Qiu
- Center for Biomedical Engineering, University of Science and Technology of China Hefei China
| | - Xiaoxiao Wang
- Center for Biomedical Engineering, University of Science and Technology of China Hefei China
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12
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Shi H, Wang Y, Liu X, Xia L, Chen Y, Lu Q, Nguchu BA, Wang H, Qiu B, Wang X, Feng L. Cortical Alterations by the Abnormal Visual Experience beyond the Critical Period: A Resting-state fMRI Study on Constant Exotropia. Curr Eye Res 2019; 44:1386-1392. [PMID: 31280612 DOI: 10.1080/02713683.2019.1639767] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Purpose: The pathological mechanisms of constant exotropia (XT) are still not understood. This study aimed to critically investigate whether patients with XT express neuronal activity changes after the critical period of visual development and further explore how these alterations are associated with behavioral performance.Materials and methods: Fourteen patients with XT and 16 healthy controls (HCs) underwent resting-state functional magnetic resonance imaging (fMRI). The regional homogeneity (ReHo) method was used to evaluate spontaneous brain activities. The association between significantly altered mean ReHo values and behavioral performance was assessed using Pearson's correlation analysis.Results: Compared with HCs, the right secondary visual cortex (V2) in patients with XT exhibited increased ReHo values, whereas the left Brodmann area 47 (BA47) demonstrated decreased spontaneous ReHo values. In patients with XT, the correlation between the left BA47's mean ReHo value and duration of strabismus was positively significant.Conclusions: These findings indicate that patients with XT have severe neural dysfunction in the right V2 and left BA47, and pathological severity in the left BA47 is likely influenced by duration of ongoing strabismus. Therefore, these results may provide clinically important information toward understanding the underlying pathological mechanisms of XT and thus can be fundamental in future XT research.
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Affiliation(s)
- Hongmei Shi
- Department of Ophthalmology, The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Yanming Wang
- Centers for Biomedical Engineering, University of Science and Technology of China, Hefei, China
| | - Xuemei Liu
- Department of Ophthalmology, The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Lin Xia
- Department of Ophthalmology, The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Yao Chen
- Department of Ophthalmology, The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Qinlin Lu
- CAS Key Laboratory of Brain Function and Diseases and School of Life Sciences, University of Science and Technology of China, Hefei, People's Republic of China
| | | | - Huijuan Wang
- Centers for Biomedical Engineering, University of Science and Technology of China, Hefei, China
| | - Bensheng Qiu
- Centers for Biomedical Engineering, University of Science and Technology of China, Hefei, China
| | - Xiaoxiao Wang
- Centers for Biomedical Engineering, University of Science and Technology of China, Hefei, China
| | - Lixia Feng
- Department of Ophthalmology, The First Affiliated Hospital of Anhui Medical University, Hefei, China
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13
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Lu Z, Huang Y, Lu Q, Feng L, Nguchu BA, Wang Y, Wang H, Li G, Zhou Y, Qiu B, Zhou J, Wang X. Abnormal intra-network architecture in extra-striate cortices in amblyopia: a resting state fMRI study. Eye Vis (Lond) 2019; 6:20. [PMID: 31334295 PMCID: PMC6615160 DOI: 10.1186/s40662-019-0145-2] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/08/2019] [Accepted: 06/13/2019] [Indexed: 11/18/2022]
Abstract
Background Amblyopia (lazy eye) is one of the most common causes of monocular visual impairment. Intensive investigation has shown that amblyopes suffer from a range of deficits not only in the primary visual cortex but also the extra-striate visual cortex. However, amblyopic brain processing deficits in large-scale information networks especially in the visual network remain unclear. Methods Through resting state functional magnetic resonance imaging (rs-fMRI), we studied the functional connectivity and efficiency of the brain visual processing networks in 18 anisometropic amblyopic patients and 18 healthy controls (HCs). Results We found a loss of functional correlation within the higher visual network (HVN) and the visuospatial network (VSN) in amblyopes. Additionally, compared with HCs, amblyopic patients exhibited disruptions in local efficiency in the V3v (third visual cortex, ventral part) and V4 (fourth visual cortex) of the HVN, as well as in the PFt, hIP3 (human intraparietal area 3), and BA7p (Brodmann area 7 posterior) of the VSN. No significant alterations were found in the primary visual network (PVN). Conclusion Our results indicate that amblyopia results in an intrinsic decrease of both network functional correlations and local efficiencies in the extra-striate visual networks.
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Affiliation(s)
- Zhuo Lu
- 1Center for Biomedical Engineering, University of Science and Technology of China, Hefei, Anhui 230027 People's Republic of China
| | - Yufeng Huang
- 2Hefei National Laboratory for Physical Sciences at the Microscale and School of Life Science, University of Science and Technology of China, Hefei, Anhui 230027 People's Republic of China.,3CAS Key Laboratory of Brain Function and Diseases and School of Life Sciences, University of Science and Technology of China, Hefei, Anhui 230027 People's Republic of China.,4Shenyang Aerospace University, Shenyang, Liaoning 110136 People's Republic of China
| | - Qilin Lu
- 2Hefei National Laboratory for Physical Sciences at the Microscale and School of Life Science, University of Science and Technology of China, Hefei, Anhui 230027 People's Republic of China.,3CAS Key Laboratory of Brain Function and Diseases and School of Life Sciences, University of Science and Technology of China, Hefei, Anhui 230027 People's Republic of China
| | - Lixia Feng
- 5Department of Ophthalmology, First Affiliated Hospital of Anhui Medical University, Hefei, Anhui People's Republic of China
| | - Benedictor Alexander Nguchu
- 1Center for Biomedical Engineering, University of Science and Technology of China, Hefei, Anhui 230027 People's Republic of China
| | - Yanming Wang
- 1Center for Biomedical Engineering, University of Science and Technology of China, Hefei, Anhui 230027 People's Republic of China
| | - Huijuan Wang
- 1Center for Biomedical Engineering, University of Science and Technology of China, Hefei, Anhui 230027 People's Republic of China
| | - Geng Li
- Asia Pediatric Ophthalmologist Association, Rm 2006, CC Wu Bldg., 302-308 Hennessy Rd., Wanchai, Hong Kong, People's Republic of China
| | - Yifeng Zhou
- 2Hefei National Laboratory for Physical Sciences at the Microscale and School of Life Science, University of Science and Technology of China, Hefei, Anhui 230027 People's Republic of China.,3CAS Key Laboratory of Brain Function and Diseases and School of Life Sciences, University of Science and Technology of China, Hefei, Anhui 230027 People's Republic of China
| | - Bensheng Qiu
- 1Center for Biomedical Engineering, University of Science and Technology of China, Hefei, Anhui 230027 People's Republic of China
| | - Jiawei Zhou
- 7School of Ophthalmology and Optometry and Eye hospital, Wenzhou Medical University, Wenzhou, Zhejiang, 325003 People's Republic of China
| | - Xiaoxiao Wang
- 1Center for Biomedical Engineering, University of Science and Technology of China, Hefei, Anhui 230027 People's Republic of China.,2Hefei National Laboratory for Physical Sciences at the Microscale and School of Life Science, University of Science and Technology of China, Hefei, Anhui 230027 People's Republic of China.,3CAS Key Laboratory of Brain Function and Diseases and School of Life Sciences, University of Science and Technology of China, Hefei, Anhui 230027 People's Republic of China
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14
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Wang M, Cui J, Liu Y, Zhou Y, Wang H, Wang Y, Zhu Y, Nguchu BA, Qiu B, Wang X, Yu Y. Structural and functional abnormalities of vision-related brain regions in cirrhotic patients: a MRI study. Neuroradiology 2019; 61:695-702. [PMID: 30949745 PMCID: PMC6511351 DOI: 10.1007/s00234-019-02199-9] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2018] [Accepted: 03/12/2019] [Indexed: 12/20/2022]
Abstract
Purpose Previous studies have focused on global cerebral alterations observed in cirrhosis. However, little was known about the specific abnormalities of vision-related brain regions in cirrhotic patients. In this study, we sought to explore neurological alterations of vision-related regions by measuring brain resting-state network connectivity, based on the structural investigation in cirrhotic patients without clinical sign of hepatic encephalopathy (HE). Methods Structural and functional magnetic resonance image (MRI) data were collected from 20 hepatitis B virus (HBV)-related cirrhotic patients without clinical sign of HE and from 20 healthy controls (HC). Voxel-based morphometric (VBM) analysis and brain functional network analysis were performed to detect abnormalities in cerebral structure and function. Results Cirrhotic patients showed regions with the most significant gray matter reduction primarily in vision-related brain regions, including the bilateral lingual gyri, left putamen, right fusiform gyrus, and right calcarine gyrus, and other significant gray matter reductions were distributed in bilateral hippocampus. Based on structural investigation focused on vision-related regions, brain functional network analysis revealed decreased functional connectivity between brain functional networks within vision-related regions (primary visual network (PVN), higher visual network (HVN), visuospatial network (VSN)) in the patient group compared with HC group. Conclusion These results indicate that structural and functional impairment were evident in the vision-related brain regions in cirrhotic patients without clinical sign of hepatic encephalopathy. The physiopathology and clinical relevance of these changes could not be ascertained from the present study, which provided a basis for further evolution of the disease.
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Affiliation(s)
- Mingquan Wang
- Department of Radiology, The First Affiliated Hospital of AnHui Medical University, Hefei, 230022, Anhui, China
| | - Jin Cui
- Centers for Biomedical Engineering, University of Science and Technology of China, Hefei, Anhui, China
| | - Yanpeng Liu
- Centers for Biomedical Engineering, University of Science and Technology of China, Hefei, Anhui, China
| | - Yawen Zhou
- Centers for Biomedical Engineering, University of Science and Technology of China, Hefei, Anhui, China
| | - Huijuan Wang
- Centers for Biomedical Engineering, University of Science and Technology of China, Hefei, Anhui, China
| | - Yanming Wang
- Centers for Biomedical Engineering, University of Science and Technology of China, Hefei, Anhui, China
| | - Yuying Zhu
- Centers for Biomedical Engineering, University of Science and Technology of China, Hefei, Anhui, China
| | | | - Bensheng Qiu
- Centers for Biomedical Engineering, University of Science and Technology of China, Hefei, Anhui, China
| | - Xiaoxiao Wang
- Centers for Biomedical Engineering, University of Science and Technology of China, Hefei, Anhui, China
| | - Yongqiang Yu
- Department of Radiology, The First Affiliated Hospital of AnHui Medical University, Hefei, 230022, Anhui, China.
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15
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Wang Y, Zhou Y, Wang H, Cui J, Nguchu BA, Zhang X, Qiu B, Wang X, Zhu M. Voxel-based automated detection of focal cortical dysplasia lesions using diffusion tensor imaging and T2-weighted MRI data. Epilepsy Behav 2018; 84:127-134. [PMID: 29793134 DOI: 10.1016/j.yebeh.2018.04.005] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/05/2018] [Revised: 03/31/2018] [Accepted: 04/13/2018] [Indexed: 12/16/2022]
Abstract
The aim of this study was to automatically detect focal cortical dysplasia (FCD) lesions in patients with extratemporal lobe epilepsy by relying on diffusion tensor imaging (DTI) and T2-weighted magnetic resonance imaging (MRI) data. We implemented an automated classifier using voxel-based multimodal features to identify gray and white matter abnormalities of FCD in patient cohorts. In addition to the commonly used T2-weighted image intensity feature, DTI-based features were also utilized. A Gaussian processes for machine learning (GPML) classifier was tested on 12 patients with FCD (8 with histologically confirmed FCD) scanned at 1.5 T and cross-validated using a leave-one-out strategy. Moreover, we compared the multimodal GPML paradigm's performance with that of single modal GPML and classical support vector machine (SVM). Our results demonstrated that the GPML performance on DTI-based features (mean AUC = 0.63) matches with the GPML performance on T2-weighted image intensity feature (mean AUC = 0.64). More promisingly, GPML yielded significantly improved performance (mean AUC = 0.76) when applying DTI-based features to multimodal paradigm. Based on the results, it can also be clearly stated that the proposed GPML strategy performed better and is robust to unbalanced dataset contrary to SVM that performed poorly (AUC = 0.69). Therefore, the GPML paradigm using multimodal MRI data containing DTI modality has promising result towards detection of the FCD lesions and provides an effective direction for future researches.
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Affiliation(s)
- Yanming Wang
- Centers for Biomedical Engineering, University of Science and Technology of China, Hefei, China
| | - Yawen Zhou
- Centers for Biomedical Engineering, University of Science and Technology of China, Hefei, China
| | - Huijuan Wang
- Centers for Biomedical Engineering, University of Science and Technology of China, Hefei, China
| | - Jin Cui
- Centers for Biomedical Engineering, University of Science and Technology of China, Hefei, China
| | | | - Xufei Zhang
- Department of Radiology, Sanbo Brain Hospital, Capital Medical University, Beijing, China
| | - Bensheng Qiu
- Centers for Biomedical Engineering, University of Science and Technology of China, Hefei, China
| | - Xiaoxiao Wang
- Centers for Biomedical Engineering, University of Science and Technology of China, Hefei, China.
| | - Mingwang Zhu
- Department of Radiology, Sanbo Brain Hospital, Capital Medical University, Beijing, China.
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16
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Wang H, Li R, Zhou Y, Wang Y, Cui J, Nguchu BA, Qiu B, Wang X, Li H. Altered cerebro-cerebellum resting-state functional connectivity in HIV-infected male patients. J Neurovirol 2018; 24:587-596. [PMID: 29785582 DOI: 10.1007/s13365-018-0649-x] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2017] [Revised: 04/21/2018] [Accepted: 05/01/2018] [Indexed: 12/11/2022]
Abstract
In addition to the role of planning and executing movement, the cerebellum greatly contributes to cognitive process. Numerous studies have reported structural and functional abnormalities in the cerebellum for HIV-infected patients, but little is known about the altered functional connectivity of particular cerebellar subregions and the cerebrum. Therefore, this study aimed to explore the resting-state functional connectivity (rsFC) changes of the cerebellum and further analyze the relationship between the rsFC changes and the neuropsychological evaluation. The experiment involved 26 HIV-infected men with asymptomatic neurocognitive impairment (ANI) and 28 healthy controls (HC). We selected bilateral hemispheric lobule VI and lobule IX as seed regions and mapped the whole-brain rsFC for each subregion. Results revealed that right lobule VI showed significant increased rsFC with the anterior cingulate cortex (ACC) in HIV-infected subjects. In addition, the correlation analysis on HIV-infected subjects illustrated the increased rsFC was negatively correlated with the attention/working memory score. Moreover, significantly increased cerebellar rsFCs were also observed in HIV-infected patients related to right inferior frontal gyrus (IFG) and right superior medial gyrus (SMG) while decreased rsFC was just found between right lobule VI and the left hippocampus (HIP). These findings suggested that, abnormalities of cerebro-cerebellar functional connectivity might be associated with cognitive dysfunction in HIV-infected men, particularly working memory impairment. It could also be the underlying mechanism of ANI, providing further evidence for early injury in the neural substrate of HIV-infected patients.
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Affiliation(s)
- Huijuan Wang
- Centers for Biomedical Engineering, University of Science and Technology of China, Hefei, Anhui, 230026, China
| | - Ruili Li
- Department of Radiology, Beijing Youan Hospital, Capital Medical University, No.8, Xi Tou Tiao, Youanmen Wai, Feng Tai District, Beijing, 10069, China
| | - Yawen Zhou
- Centers for Biomedical Engineering, University of Science and Technology of China, Hefei, Anhui, 230026, China
| | - Yanming Wang
- Centers for Biomedical Engineering, University of Science and Technology of China, Hefei, Anhui, 230026, China
| | - Jin Cui
- Centers for Biomedical Engineering, University of Science and Technology of China, Hefei, Anhui, 230026, China
| | - Benedictor Alexander Nguchu
- Centers for Biomedical Engineering, University of Science and Technology of China, Hefei, Anhui, 230026, China
| | - Bensheng Qiu
- Centers for Biomedical Engineering, University of Science and Technology of China, Hefei, Anhui, 230026, China
| | - Xiaoxiao Wang
- Centers for Biomedical Engineering, University of Science and Technology of China, Hefei, Anhui, 230026, China.
| | - Hongjun Li
- Department of Radiology, Beijing Youan Hospital, Capital Medical University, No.8, Xi Tou Tiao, Youanmen Wai, Feng Tai District, Beijing, 10069, China.
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