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Zeng C, Zhai Y, Ge P, Liu C, Yu X, Liu W, Li J, He Q, Liu X, Ye X, Zhang Q, Wang R, Zhang Y, Zhang D, Zhao J. Glymphatic Impairment Associated with Neurocognitive Dysfunction in Moyamoya Disease. Transl Stroke Res 2025; 16:690-703. [PMID: 38630409 DOI: 10.1007/s12975-024-01250-z] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/01/2024] [Revised: 03/27/2024] [Accepted: 04/05/2024] [Indexed: 05/02/2025]
Abstract
Glymphatic system alterations have been proved to be associated with cognitive dysfunction in neurodegenerative diseases. The glymphatic pathway has not been elucidated in moyamoya disease (MMD), which was recognized as a chronic hypoperfusion model for neurodegenerative disease. Here, we aimed to investigate the glymphatic system activity and its relation with neurocognition, and associated hallmarks in MMD. We prospectively recruited 30 MMD patients and 30 matched healthy controls (HC). Participants underwent MRI and neurocognition evaluation. The glymphatic function was assessed by diffusion tensor image analysis along perivascular space (DTI-ALPS) index. Gray matter volume (GMV) and microstructural alterations were calculated. Neurodegenerative-related serum biomarkers were examined. The mediation effect of ALPS index in the associations between variables and neurocognition were further explored. A lower ALPS index was identified in patients with MMD (P < 0.001). The decreased ALPS index was significantly correlated with declined neurocognitive performance. Moreover, the reduced ALPS index was notably linked with lower total GMV% and deep GMV% (P < 0.01). Microstructural changes in the periventricular areas were detected and associated with ALPS index in MMD. Serum neurodegenerative biomarkers (ApoE, Aβ40, Aβ42, and Aβ42/Aβ40) were significantly elevated and related to ALPS index. Additionally, the ALPS index significantly mediated the associations of microstructural alterations and ApoE level with neurocognitive dysfunction. The ALPS index was notably lower MMD in patients, suggesting the utility as a marker of potential glymphatic dysfunction. The index acted as a significant mediator in neurocognitive dysfunction. These findings indicated that glymphatic impairment may interact with MMD-related pathophysiological processes.
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Affiliation(s)
- Chaofan Zeng
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, No. 119 South 4th Ring West Road, Fengtai District, Beijing, 100070, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
- Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China
- Beijing Translational Engineering Center for 3D Printer in Clinical Neuroscience, Beijing, China
| | - Yuanren Zhai
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, No. 119 South 4th Ring West Road, Fengtai District, Beijing, 100070, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
- Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China
- Beijing Translational Engineering Center for 3D Printer in Clinical Neuroscience, Beijing, China
| | - Peicong Ge
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, No. 119 South 4th Ring West Road, Fengtai District, Beijing, 100070, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
- Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China
- Beijing Translational Engineering Center for 3D Printer in Clinical Neuroscience, Beijing, China
| | - Chenglong Liu
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, No. 119 South 4th Ring West Road, Fengtai District, Beijing, 100070, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
- Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China
- Beijing Translational Engineering Center for 3D Printer in Clinical Neuroscience, Beijing, China
| | - Xiaofan Yu
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, No. 119 South 4th Ring West Road, Fengtai District, Beijing, 100070, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
- Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China
- Beijing Translational Engineering Center for 3D Printer in Clinical Neuroscience, Beijing, China
| | - Wei Liu
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, No. 119 South 4th Ring West Road, Fengtai District, Beijing, 100070, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
- Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China
- Beijing Translational Engineering Center for 3D Printer in Clinical Neuroscience, Beijing, China
| | - Junsheng Li
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, No. 119 South 4th Ring West Road, Fengtai District, Beijing, 100070, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
- Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China
- Beijing Translational Engineering Center for 3D Printer in Clinical Neuroscience, Beijing, China
| | - Qiheng He
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, No. 119 South 4th Ring West Road, Fengtai District, Beijing, 100070, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
- Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China
- Beijing Translational Engineering Center for 3D Printer in Clinical Neuroscience, Beijing, China
| | - Xingju Liu
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, No. 119 South 4th Ring West Road, Fengtai District, Beijing, 100070, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
- Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China
- Beijing Translational Engineering Center for 3D Printer in Clinical Neuroscience, Beijing, China
| | - Xun Ye
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, No. 119 South 4th Ring West Road, Fengtai District, Beijing, 100070, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
- Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China
- Beijing Translational Engineering Center for 3D Printer in Clinical Neuroscience, Beijing, China
| | - Qian Zhang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, No. 119 South 4th Ring West Road, Fengtai District, Beijing, 100070, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
- Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China
- Beijing Translational Engineering Center for 3D Printer in Clinical Neuroscience, Beijing, China
| | - Rong Wang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, No. 119 South 4th Ring West Road, Fengtai District, Beijing, 100070, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
- Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China
- Beijing Translational Engineering Center for 3D Printer in Clinical Neuroscience, Beijing, China
| | - Yan Zhang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, No. 119 South 4th Ring West Road, Fengtai District, Beijing, 100070, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
- Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China
- Beijing Translational Engineering Center for 3D Printer in Clinical Neuroscience, Beijing, China
| | - Dong Zhang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, No. 119 South 4th Ring West Road, Fengtai District, Beijing, 100070, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
- Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China
- Beijing Translational Engineering Center for 3D Printer in Clinical Neuroscience, Beijing, China
- Department of Neurosurgery, Beijing Hospital, National Center of Gerontology, No. 1 Dahua Road, Dongcheng District, Beijing, 100730, China
- Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Jizong Zhao
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, No. 119 South 4th Ring West Road, Fengtai District, Beijing, 100070, China.
- China National Clinical Research Center for Neurological Diseases, Beijing, China.
- Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China.
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China.
- Beijing Translational Engineering Center for 3D Printer in Clinical Neuroscience, Beijing, China.
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Haas P, Debolski A, Bender B, Zerweck L, Ernemann U, Tatagiba M, Hauser TK, Khan N, Roder C. Whole-brain volumetric analysis in adult Moyamoya patients reveals significant atrophy compared to healthy controls. Brain Commun 2025; 7:fcaf100. [PMID: 40135070 PMCID: PMC11934919 DOI: 10.1093/braincomms/fcaf100] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2024] [Revised: 01/26/2025] [Accepted: 03/02/2025] [Indexed: 03/27/2025] Open
Abstract
Moyamoya disease (MMD) may lead to perfusion deficits, stroke and brain atrophy in the long-term. Our aim was to analyse whole-brain volumetry of a large cohort of Moyamoya disease patients compared to healthy controls. 3D T1w MRI sequences of adult Moyamoya disease patients treated at our centre between 2016 and 2022 without prior revascularization were analysed for whole-brain volumetry (AssemblyNet) and compared age-controlled to healthy controls. A total of 133 different regions of interest were examined retrospectively for each patient separately by localization, structure and tissue type. All segmentations were subjected to automated and manual quality control. After quality control, 149 hemispheres from 80 Moyamoya disease patients were compared to 258 hemispheres from 129 healthy controls. A significant brain volume loss was observed in Moyamoya disease patients with increasing age, with the greatest reduction seen in bilaterally affected patients with Suzuki grade >3. As direct signs of brain atrophy, significant differences were seen across all regions of interests, emphasized in cortical grey matter with a reduction of 4.4% (95% CI 2.7-6.1%; P < 0.001) in patients aged 30-45 years and 3.4% (95% CI 2.1-4.7%; P < 0.001) aged 46-60 years. As indirect sign for atrophy, external CSF spaces increased up to 26.4% (95% CI 17.0-35.9%; P < 0.001) for 30-45 years and 28.4% (95% CI 17.1-39.7%; P < 0.001) for 46-60 years compared to healthy controls. Infratentorial, significant volume loss was observed for patients aged 46-60 years with 11.6% for cerebellar white matter (95% CI 3.7-19.5%; P = 0.0025) and with 8.5% (95% CI 3.5-13.5%; P = 0.0006) for the brainstem, likely due to secondary neurodegeneration. Moyamoya disease patients >45 year without ischaemia also had significantly less grey matter and white matter volume, with accordingly enlarged CSF spaces. Moyamoya disease may lead to significant differences in brain volume of local and global regions of interest as a sign of brain atrophy, even in the absence of infarctions. These findings might be useful for the understanding of the disease burden and in decision-making for timely revascularization.
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Affiliation(s)
- Patrick Haas
- Department of Neurosurgery and Moyamoya Center, University of Tübingen, Tübingen 72076, Germany
| | - Alexander Debolski
- Department of Neurosurgery and Moyamoya Center, University of Tübingen, Tübingen 72076, Germany
| | - Benjamin Bender
- Department of Neuroradiology, University of Tübingen, Tübingen 72076, Germany
| | - Leonie Zerweck
- Department of Neuroradiology, University of Tübingen, Tübingen 72076, Germany
| | - Ulrike Ernemann
- Department of Neuroradiology, University of Tübingen, Tübingen 72076, Germany
| | - Marcos Tatagiba
- Department of Neurosurgery and Moyamoya Center, University of Tübingen, Tübingen 72076, Germany
| | - Till-Karsten Hauser
- Department of Neuroradiology, University of Tübingen, Tübingen 72076, Germany
| | - Nadia Khan
- Department of Neurosurgery and Moyamoya Center, University of Tübingen, Tübingen 72076, Germany
- Moyamoya Center, University Children’s Hospital Zurich, Zurich 8032, Switzerland
| | - Constantin Roder
- Department of Neurosurgery and Moyamoya Center, University of Tübingen, Tübingen 72076, Germany
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Wang S, Jiang Q, Liu Y, Zhang X, Huang Y, Zhang H. The Role of Immune Cells in Moyamoya Disease. Brain Sci 2025; 15:137. [PMID: 40002470 PMCID: PMC11852451 DOI: 10.3390/brainsci15020137] [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: 12/16/2024] [Revised: 01/23/2025] [Accepted: 01/29/2025] [Indexed: 02/27/2025] Open
Abstract
Moyamoya disease (MMD) is a rare progressive cerebrovascular disorder characterized by the stenosis or occlusion of the terminal segments of the internal carotid arteries, leading to the development of abnormal collateral vascular networks. These networks are a compensatory mechanism for reduced blood flow to the brain. Despite extensive research, the exact etiology of MMD remains unknown, although recent studies suggest that immune system dysfunction plays a critical role in its pathogenesis. In particular, the involvement of immune cells such as T cells, macrophages, and dendritic cells has been increasingly recognized. These immune cells contribute to the inflammatory process and vascular remodeling observed in MMD patients, further complicating the disease's progression. Inflammation and immune-mediated damage to the vessel walls may accelerate the narrowing and occlusion of arteries, exacerbating ischemic events in the brain. Additionally, studies have revealed that certain genetic and environmental factors can influence immune system activation in MMD, linking these pathways to disease development. This review aims to provide a comprehensive overview of the immune mechanisms at play in MMD, focusing on how immune cells participate in vascular injury and remodeling. Understanding these immunological processes may offer new therapeutic targets to halt or reverse disease progression, potentially leading to more effective treatment strategies for MMD.
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Affiliation(s)
- Sheng Wang
- Department of Neurosurgery, Tongji Hospital of Tongji Medical College of Huazhong University of Science and Technology, Jiefang Avenue 1095, Wuhan 430030, China; (S.W.); (Q.J.); (Y.L.); (X.Z.); (Y.H.)
- Hubei Key Laboratory of Neural Injury and Functional Reconstruction, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Qian Jiang
- Department of Neurosurgery, Tongji Hospital of Tongji Medical College of Huazhong University of Science and Technology, Jiefang Avenue 1095, Wuhan 430030, China; (S.W.); (Q.J.); (Y.L.); (X.Z.); (Y.H.)
- Hubei Key Laboratory of Neural Injury and Functional Reconstruction, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Yuan Liu
- Department of Neurosurgery, Tongji Hospital of Tongji Medical College of Huazhong University of Science and Technology, Jiefang Avenue 1095, Wuhan 430030, China; (S.W.); (Q.J.); (Y.L.); (X.Z.); (Y.H.)
- Hubei Key Laboratory of Neural Injury and Functional Reconstruction, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Xincheng Zhang
- Department of Neurosurgery, Tongji Hospital of Tongji Medical College of Huazhong University of Science and Technology, Jiefang Avenue 1095, Wuhan 430030, China; (S.W.); (Q.J.); (Y.L.); (X.Z.); (Y.H.)
- Hubei Key Laboratory of Neural Injury and Functional Reconstruction, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Yimin Huang
- Department of Neurosurgery, Tongji Hospital of Tongji Medical College of Huazhong University of Science and Technology, Jiefang Avenue 1095, Wuhan 430030, China; (S.W.); (Q.J.); (Y.L.); (X.Z.); (Y.H.)
- Hubei Key Laboratory of Neural Injury and Functional Reconstruction, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Huaqiu Zhang
- Department of Neurosurgery, Tongji Hospital of Tongji Medical College of Huazhong University of Science and Technology, Jiefang Avenue 1095, Wuhan 430030, China; (S.W.); (Q.J.); (Y.L.); (X.Z.); (Y.H.)
- Hubei Key Laboratory of Neural Injury and Functional Reconstruction, Huazhong University of Science and Technology, Wuhan 430030, China
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Ahtam B, Meadows J, Berto LF, Lildharrie C, Solti M, Doo JM, Feldman HA, Vyas R, Zhang F, O'Donnell LJ, Rathi Y, Stout J, Smith ER, Orbach DB, See AP, Grant PE, Lehman LL. Symptoms Do Not Predict White Matter Injury in the Watershed Regions in Children with Moyamoya. J Pediatr 2025; 276:114372. [PMID: 39428090 DOI: 10.1016/j.jpeds.2024.114372] [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: 05/31/2024] [Revised: 10/08/2024] [Accepted: 10/15/2024] [Indexed: 10/22/2024]
Abstract
OBJECTIVE To assess whether white matter injuries differ in symptomatic vs asymptomatic moyamoya-affected hemispheres using diffusion magnetic resonance imaging since there is controversy regarding when or if to revascularize children with asymptomatic moyamoya. STUDY DESIGN We conducted a cross-sectional study of children with moyamoya who underwent diffusion magnetic resonance imaging before revascularization surgery as well as controls without moyamoya. We measured the fractional anisotropy, mean diffusivity, radial diffusivity, and axial diffusivity of white matter tracts in the watershed regions. Moyamoya-affected hemispheres were included if they did not have any visible stroke or infarct. Moyamoya-affected hemispheres were labeled "symptomatic" if transient ischemic attack, seizure, or movement disorder were localizable to that hemisphere, or if the child experienced headaches. Moyamoya-affected hemispheres were "asymptomatic" if the child did not have symptoms attributable to that hemisphere. Asymptomatic and symptomatic hemispheres were compared with each other and control children using ANOVA. RESULTS We included 17 children with moyamoya with 26 moyamoya-affected hemispheres and 27 control children. Compared with controls, mean diffusivity, radial diffusivity, and axial diffusivity were greater in both symptomatic and asymptomatic moyamoya-affected hemispheres but were not significantly different from each other. CONCLUSIONS Children with moyamoya without stroke or silent infarct have unrecognized white matter injury that is similar in both symptomatic and asymptomatic moyamoya-affected hemispheres, suggesting that symptoms do not accurately reflect moyamoya severity.
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Affiliation(s)
- Banu Ahtam
- Division of Newborn Medicine, Department of Pediatrics, Boston Children's Hospital, Boston, MA; Harvard Medical School, Boston, MA
| | - Julie Meadows
- Department of Neurology, Boston Children's Hospital, Boston, MA
| | - Laura F Berto
- Division of Newborn Medicine, Department of Pediatrics, Boston Children's Hospital, Boston, MA
| | - Christina Lildharrie
- Division of Newborn Medicine, Department of Pediatrics, Boston Children's Hospital, Boston, MA
| | - Marina Solti
- Division of Newborn Medicine, Department of Pediatrics, Boston Children's Hospital, Boston, MA
| | - Justin M Doo
- Department of Neurology, Boston Children's Hospital, Boston, MA
| | - Henry A Feldman
- Division of Newborn Medicine, Department of Pediatrics, Boston Children's Hospital, Boston, MA; Harvard Medical School, Boston, MA
| | - Rutvi Vyas
- Division of Newborn Medicine, Department of Pediatrics, Boston Children's Hospital, Boston, MA
| | - Fan Zhang
- Harvard Medical School, Boston, MA; Department of Radiology, Brigham and Women's Hospital, Boston, MA
| | - Lauren J O'Donnell
- Harvard Medical School, Boston, MA; Department of Radiology, Brigham and Women's Hospital, Boston, MA
| | - Yogesh Rathi
- Harvard Medical School, Boston, MA; Department of Radiology, Brigham and Women's Hospital, Boston, MA
| | - Jeffrey Stout
- Division of Newborn Medicine, Department of Pediatrics, Boston Children's Hospital, Boston, MA; Harvard Medical School, Boston, MA; Department of Neurosurgery, Boston Children's Hospital, Boston, MA
| | - Edward R Smith
- Harvard Medical School, Boston, MA; Department of Neurosurgery, Boston Children's Hospital, Boston, MA
| | - Darren B Orbach
- Harvard Medical School, Boston, MA; Department of Radiology, Boston Children's Hospital, Boston, MA
| | - Alfred P See
- Harvard Medical School, Boston, MA; Department of Neurosurgery, Boston Children's Hospital, Boston, MA; Department of Radiology, Boston Children's Hospital, Boston, MA
| | - P Ellen Grant
- Division of Newborn Medicine, Department of Pediatrics, Boston Children's Hospital, Boston, MA; Harvard Medical School, Boston, MA; Department of Radiology, Boston Children's Hospital, Boston, MA
| | - Laura L Lehman
- Harvard Medical School, Boston, MA; Department of Neurology, Boston Children's Hospital, Boston, MA.
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Wang X, Liu Z, Zhou Z, Zhang J, Wang Y, He S, Wang R. Cognitive dysfunction in Moyamoya disease: latest developments and future directions. Front Hum Neurosci 2024; 18:1502318. [PMID: 39713171 PMCID: PMC11659249 DOI: 10.3389/fnhum.2024.1502318] [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: 09/26/2024] [Accepted: 11/25/2024] [Indexed: 12/24/2024] Open
Abstract
Cognitive dysfunction is common in Moyamoya disease (MMD). However, current knowledge of cognitive impairment in MMD is inadequate. In this review, we explored the characteristics of altered cognitive function associated with MMD and offered recommendations aimed at guiding potential research endeavors into the cognitive dysfunction in MMD. Cognitive functions, including executive function, intelligence, memory and so on, show characteristic declines in MMD. The effects of cerebral revascularization surgery on cognitive impairment are controversial. Currently, there is still a lack of relevant research on cognitive impairment. Research on the pathogenesis and etiology associated with Moyamoya disease as well as long-term cohort studies, are important future directions.
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Affiliation(s)
- Xilong Wang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Ziqi Liu
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Zhenyu Zhou
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Junze Zhang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, United States
| | - Yanru Wang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Shihao He
- Department of Neurosurgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China
| | - Rong Wang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
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Ran Y, Fan Y, Wu S, Chen C, Li Y, Gao T, Zhang H, Han C, Tang X. TdCCA with Dual-Modal Signal Fusion: Degenerated Occipital and Frontal Connectivity of Adult Moyamoya Disease for Early Identification. Transl Stroke Res 2024:10.1007/s12975-024-01313-1. [PMID: 39636478 DOI: 10.1007/s12975-024-01313-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2024] [Revised: 11/12/2024] [Accepted: 11/18/2024] [Indexed: 12/07/2024]
Abstract
Cognitive impairment in patients with moyamoya disease (MMD) manifests earlier than clinical symptoms. Early identification of brain connectivity changes is essential for uncovering the pathogenesis of cognitive impairment in MMD. We proposed a temporally driven canonical correlation analysis (TdCCA) method to achieve dual-modal synchronous information fusion from electroencephalogram (EEG) and functional near-infrared spectroscopy (fNIRS) for exploring the differences in brain connectivity between MMD and normal control groups. The dual-modal fusion features were extracted based on the imaginary part of coherence of the EEG signal (EEG iCOH) and the Pearson correlation coefficients of the fNIRS signal (fNIRS COR) in the resting and working memory state. The machine learning model showed that the accuracy of TdCCA method reached 97%, far higher than single-modal features and feature-level fusion CCA method. Brain connectivity analysis revealed a significant reduction in the strength of the connections between the right occipital lobe and frontal lobes (EEG iOCH: p = 0.022, fNIRS COR p = 0.011) in MMD. These differences reflected the impaired transient memory and executive function in MMD patients. This study contributes to the understanding of the neurophysiological nature of cognitive impairment in MMD and provides a potential adjuvant early identification method for individuals with chronic cerebral ischemia.
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Affiliation(s)
- Yuchen Ran
- School of Medical Technology, Beijing Institute of Technology, Beijing, 100081, China
| | - Yingwei Fan
- School of Medical Technology, Beijing Institute of Technology, Beijing, 100081, China
| | - Shuang Wu
- School of Medical Technology, Beijing Institute of Technology, Beijing, 100081, China
| | - Chao Chen
- School of Medical Technology, Beijing Institute of Technology, Beijing, 100081, China
| | - Yangxi Li
- Department of Biomedical Engineering, School of Medicine, Tsinghua Univerisity, Beijing, 100084, China
| | - Tianxin Gao
- School of Medical Technology, Beijing Institute of Technology, Beijing, 100081, China
| | - Houdi Zhang
- Department of Neurosurgery, Fifth Medical Center of Chinese, PLA General Hospital, Beijing, 100039, China.
| | - Cong Han
- Department of Neurosurgery, Fifth Medical Center of Chinese, PLA General Hospital, Beijing, 100039, China.
- Department of Neurosurgery, First Medical Center of Chinese, PLA General Hospital, Beijing, 100071, China.
| | - Xiaoying Tang
- School of Medical Technology, Beijing Institute of Technology, Beijing, 100081, China.
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7
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Fruhwirth V, Berger L, Gattringer T, Fandler-Höfler S, Kneihsl M, Eppinger S, Ropele S, Fink A, Deutschmann H, Reishofer G, Enzinger C, Pinter D. White matter integrity and functional connectivity of the default mode network in acute stroke are associated with cognitive outcome three months post-stroke. J Neurol Sci 2024; 462:123071. [PMID: 38850772 DOI: 10.1016/j.jns.2024.123071] [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: 03/21/2024] [Revised: 05/27/2024] [Accepted: 05/29/2024] [Indexed: 06/10/2024]
Abstract
BACKGROUND Knowledge about factors that are associated with post-stroke cognitive outcome is important to identify patients with high risk for impairment. We therefore investigated the associations of white matter integrity and functional connectivity (FC) within the brain's default-mode network (DMN) in acute stroke patients with cognitive outcome three months post-stroke. METHODS Patients aged between 18 and 85 years with an acute symptomatic MRI-proven unilateral ischemic middle cerebral artery infarction, who had received reperfusion therapy, were invited to participate in this longitudinal study. All patients underwent brain MRI within 24-72 h after symptom onset, and participated in a neuropsychological assessment three months post-stroke. We performed hierarchical regression analyses to explore the incremental value of baseline white matter integrity and FC beyond demographic, clinical, and macrostructural information for cognitive outcome. RESULTS The study cohort comprised 34 patients (mean age: 64 ± 12 years, 35% female). The initial median National Institutes of Health Stroke Scale (NIHSS) score was 10, and significantly improved three months post-stroke to a median NIHSS = 1 (p < .001). Nonetheless, 50% of patients showed cognitive impairment three months post-stroke. FC of the non-lesioned anterior cingulate cortex of the affected hemisphere explained 15% of incremental variance for processing speed (p = .007), and fractional anisotropy of the non-lesioned cingulum of the affected hemisphere explained 13% of incremental variance for cognitive flexibility (p = .033). CONCLUSIONS White matter integrity and functional MRI markers of the DMN in acute stroke explain incremental variance for post-stroke cognitive outcome beyond demographic, clinical, and macrostructural information.
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Affiliation(s)
- Viktoria Fruhwirth
- Department of Neurology, Medical University of Graz, Graz, Austria; Department of Neurology, Research Unit for Neuronal Plasticity and Repair, Medical University of Graz, Graz, Austria; Institute of Psychology, Department of Biological Psychology, University of Graz, Graz, Austria
| | - Lisa Berger
- Institute of Psychology, Department of Neuropsychology - Neuroimaging, University of Graz, Graz, Austria
| | - Thomas Gattringer
- Department of Neurology, Medical University of Graz, Graz, Austria; Division of Neuroradiology, Vascular and Interventional Radiology, Department of Radiology, Medical University of Graz, Graz, Austria
| | | | - Markus Kneihsl
- Department of Neurology, Medical University of Graz, Graz, Austria
| | | | - Stefan Ropele
- Department of Neurology, Medical University of Graz, Graz, Austria
| | - Andreas Fink
- Institute of Psychology, Department of Biological Psychology, University of Graz, Graz, Austria
| | - Hannes Deutschmann
- Division of Neuroradiology, Vascular and Interventional Radiology, Department of Radiology, Medical University of Graz, Graz, Austria
| | - Gernot Reishofer
- Division of Neuroradiology, Vascular and Interventional Radiology, Department of Radiology, Medical University of Graz, Graz, Austria
| | - Christian Enzinger
- Department of Neurology, Medical University of Graz, Graz, Austria; Department of Neurology, Research Unit for Neuronal Plasticity and Repair, Medical University of Graz, Graz, Austria; Division of Neuroradiology, Vascular and Interventional Radiology, Department of Radiology, Medical University of Graz, Graz, Austria
| | - Daniela Pinter
- Department of Neurology, Medical University of Graz, Graz, Austria; Department of Neurology, Research Unit for Neuronal Plasticity and Repair, Medical University of Graz, Graz, Austria.
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8
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Oakley CI, Lanzino G, Klaas JP. Neuropsychiatric Symptoms of Moyamoya Disease: Considerations for the Clinician. Neuropsychiatr Dis Treat 2024; 20:663-669. [PMID: 38532905 PMCID: PMC10964779 DOI: 10.2147/ndt.s440975] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/06/2023] [Accepted: 03/06/2024] [Indexed: 03/28/2024] Open
Abstract
Neurocognitive impairment in moyamoya disease is common, under recognized, and potentially devastating. The purpose of this paper is to provide an updated overview on this topic for the practicing clinician. We searched PubMed for keywords including cognitive impairment, neurocognitive dysfunction, and neuropsychological recovery in moyamoya disease. We summarized the literature to provide a concise review of the treatment and management of neuropsychiatric symptoms associated with moyamoya disease. Neuropsychiatric sequelae have conventionally been attributed to chronic cerebral hypoperfusion and/or stroke. Cognitive dysfunction in adults with moyamoya disease is most commonly in the form of impaired executive function, whereas intelligence is the predominant impairment in children with moyamoya disease. Pharmacotherapy for treatment of the neuropsychiatric symptoms associated with moyamoya disease is appropriate and can improve quality of life; however, careful consideration is needed to avoid adverse cerebrovascular events. It remains unclear as to whether surgical revascularization improves or stabilizes cognitive performance and outcomes. Additional prospective studies are warranted to better understand the long-term impact of revascularization on cognitive functioning in moyamoya disease.
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Affiliation(s)
| | | | - James P Klaas
- Department of Neurology, Mayo Clinic, Rochester, MN, USA
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Filimonova E, Martirosyan A, Ovsiannikov K, Pashkov A, Rzaev J. White and Gray Matter Perfusion in Children with Moyamoya Angiopathy after Revascularization Surgery. Pediatr Neurosurg 2023; 58:197-205. [PMID: 37379805 DOI: 10.1159/000531719] [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: 01/19/2023] [Accepted: 06/22/2023] [Indexed: 06/30/2023]
Abstract
INTRODUCTION Surgical revascularization is very effective in patients with moyamoya angiopathy (MMA) and leads to improvements in cortical perfusion parameters. However, changes in white matter hemodynamics are still underestimated. To date, only a few studies have examined brain perfusion changes within deep white matter after bypass surgery in patients with MMA. METHODS Ten children with MMA were evaluated using the CT perfusion technique before and after revascularization surgery. Brain perfusion parameters within gray and white matter were compared before and after surgery. The correlations between the perfusion parameters before surgery and the Suzuki stage, as well as between the perfusion parameters and the cognitive scores, were also evaluated. RESULTS Brain perfusion parameters improved significantly in both gray matter (predominantly due to cerebral blood flow within the anterior circulation, p < 0.01) and white matter (predominantly due to cerebral blood volume within the semiovale centrum, p < 0.001). We revealed that the pattern of improvement in perfusion in white matter differed from the pattern of improvement in perfusion in gray matter. Significant correlations were revealed between the Suzuki stage before surgery and the perfusion parameters within the posterior cerebral artery circulation (adjusted p < 0.05). There were also significant correlations between cognitive scores and brain perfusion parameters in gray matter and white matter (adjusted p < 0.05). CONCLUSIONS The perfusion parameters of gray matter and white matter in the brain improve differently after bypass surgery in patients with MMA. Different hemodynamics within these compartments could explain this.
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Affiliation(s)
- Elena Filimonova
- Federal Center of Neurosurgery Novosibirsk, Nemirovich-Danchenko Str. 132/1, Novosibirsk, Russian Federation
- Department of neurosurgery, Novosibirsk State Medical University, Novosibirsk, Russian Federation
| | - Azniv Martirosyan
- Federal Center of Neurosurgery Novosibirsk, Nemirovich-Danchenko Str. 132/1, Novosibirsk, Russian Federation
| | - Konstantin Ovsiannikov
- Federal Center of Neurosurgery Novosibirsk, Nemirovich-Danchenko Str. 132/1, Novosibirsk, Russian Federation
- Department of Neuroscience, Institute of Medicine and Psychology, Novosibirsk State University, Pirogov Str. 1, Novosibirsk, Russian Federation
| | - Anton Pashkov
- Federal Center of Neurosurgery Novosibirsk, Nemirovich-Danchenko Str. 132/1, Novosibirsk, Russian Federation
- Department of Clinical Psychology, Lab of molecular and genetic studies, South Ural State University, Chelyabinsk, Russian Federation
| | - Jamil Rzaev
- Federal Center of Neurosurgery Novosibirsk, Nemirovich-Danchenko Str. 132/1, Novosibirsk, Russian Federation
- Department of neurosurgery, Novosibirsk State Medical University, Novosibirsk, Russian Federation
- Department of Neuroscience, Institute of Medicine and Psychology, Novosibirsk State University, Pirogov Str. 1, Novosibirsk, Russian Federation
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10
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Filimonova E, Ovsiannikov K, Zaitsev B, Rzaev J. T1w/T2w ratio is associated with the brush sign and perfusion delay in watershed regions in patients with moyamoya angiopathy. Clin Neurol Neurosurg 2023; 231:107821. [PMID: 37302378 DOI: 10.1016/j.clineuro.2023.107821] [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: 02/20/2023] [Revised: 05/24/2023] [Accepted: 06/04/2023] [Indexed: 06/13/2023]
Abstract
BACKGROUND It has been shown recently using the T1w/T2w mapping technique that white matter microstructural integrity impairments exist in watershed regions patients with moyamoya angiopathy (MMA). We hypothesized that these changes could be associated with the prominence of other neuroimaging markers of chronic brain ischemia, such as perfusion delay and the brush sign. METHODS Thirteen adult patients with MMA (24 affected hemispheres) were evaluated using brain MRI and CT perfusion. The T1w/T2w signal intensity ratio, which reflects white matter integrity, was calculated in watershed regions (centrum semiovale and middle frontal gyrus). Brush sign prominence was evaluated with susceptibility-weighted MRI. Additionally, brain perfusion parameters such as cerebral blood flow (CBF), cerebral blood volume (CBF), and mean transit time (MTT) were assessed. Correlations between white matter integrity and perfusion changes in watershed regions, as well as the prominence of the brush sign, were evaluated. RESULTS Statistically significant negative correlations between the prominence of the brush sign and the T1w/T2w ratio values from the centrum semiovale and middle frontal white matter were found (R = -0.62 to 0.71, adjusted p < 0.05). Furthermore, there was a positive correlation between the T1w/T2w ratio values and the MTT values from the centrum semiovale (R = 0.65, adjusted p < 0.05). CONCLUSIONS We revealed that T1w/T2w ratio changes are associated with the prominence of the brush sign as well as white matter hypoperfusion in watershed regions in patients with MMA. This could be explained by chronic ischemia due to venous congestion in the deep medullary vein territory.
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Affiliation(s)
- E Filimonova
- Federal Center of Neurosurgery Novosibirsk, Nemirovich-Danchenko Str. 132/1, Novosibirsk 630087, Russia; Novosibirsk State Medical University, Krasny Prospect St. 52, Novosibirsk 630091, Russia.
| | - K Ovsiannikov
- Federal Center of Neurosurgery Novosibirsk, Nemirovich-Danchenko Str. 132/1, Novosibirsk 630087, Russia; Department of Neuroscience, Institute of Medicine and Psychology, Novosibirsk State University, Pirogov Str. 1, Novosibirsk 630090, Russia
| | - B Zaitsev
- Federal Center of Neurosurgery Novosibirsk, Nemirovich-Danchenko Str. 132/1, Novosibirsk 630087, Russia
| | - J Rzaev
- Federal Center of Neurosurgery Novosibirsk, Nemirovich-Danchenko Str. 132/1, Novosibirsk 630087, Russia; Novosibirsk State Medical University, Krasny Prospect St. 52, Novosibirsk 630091, Russia; Department of Neuroscience, Institute of Medicine and Psychology, Novosibirsk State University, Pirogov Str. 1, Novosibirsk 630090, Russia
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11
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Yang W, Jung KH, Kang DW, Lee EJ, Jeong HY, Chung M, Kim Y, Ha J, Kim JM, Lee SH. Characteristics and Clinical Implication of White Matter Lesions in Patients With Adult Moyamoya Disease. Neurology 2023; 100:e1912-e1921. [PMID: 36878709 PMCID: PMC10159762 DOI: 10.1212/wnl.0000000000207130] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2022] [Accepted: 01/17/2023] [Indexed: 03/08/2023] Open
Abstract
BACKGROUND AND OBJECTIVES White matter hyperintensities (WMHs) are reportedly increased in moyamoya disease (MMD); however, their clinical importance is not well-established owing to their pathophysiologic heterogeneity by distribution. This study aimed to evaluate the burden and pattern of WMHs and its clinical implications in the MMD trajectory. METHODS Adult patients with MMD without significant structural lesions were 1:1 propensity score-matched with healthy controls for sex and vascular risk factors. The total, periventricular, and subcortical WMH volumes were segmented and quantified fully automatically. WMH volumes were detrended by age and compared between the 2 groups. MMD severity based on Suzuki stage and future ischemic events were assessed for their association with WMH volumes. RESULTS A total of 161 pairs of patients with MMD and controls were analyzed. MMD significantly correlated with increased total WMH volume (B [standard error], 0.126 [0.030]; p < 0.001), periventricular WMH volume (0.114 [0.027]; p < 0.001), and periventricular-to-subcortical ratio (0.090 [0.034]; p = 0.009). In the MMD subgroup (n = 187), advanced MMD had an independent association with the total WMH volume (0.120 [0.035]; p < 0.001), periventricular WMH volume (0.110 [0.031]; p < 0.001), and periventricular-to-subcortical ratio (0.139 [0.038]; p < 0.001). Periventricular WMH volume (adjusted hazard ratio [95% confidence interval], 5.12 [1.26-20.79]) and periventricular-to-subcortical ratio (3.80 [1.51-9.56]) were associated with future ischemic events in patients with medically followed up MMD. However, no demonstrable association was found between subcortical WMH volume and MMD, MMD severity, or future ischemic events. DISCUSSION Periventricular WMHs, but not subcortical WMHs, may represent the main pathophysiology of MMD. Periventricular WMHs may be used as a marker for ischemic vulnerability in patients with MMD.
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Affiliation(s)
- Wookjin Yang
- From the Department of Neurology, Seoul National University Hospital, Korea
| | - Keun-Hwa Jung
- From the Department of Neurology, Seoul National University Hospital, Korea.
| | - Dong-Wan Kang
- From the Department of Neurology, Seoul National University Hospital, Korea
| | - Eung-Joon Lee
- From the Department of Neurology, Seoul National University Hospital, Korea
| | - Han-Yeong Jeong
- From the Department of Neurology, Seoul National University Hospital, Korea
| | - Matthew Chung
- From the Department of Neurology, Seoul National University Hospital, Korea
| | - Youngjoon Kim
- From the Department of Neurology, Seoul National University Hospital, Korea
| | - Jiyeon Ha
- From the Department of Neurology, Seoul National University Hospital, Korea
| | - Jeong-Min Kim
- From the Department of Neurology, Seoul National University Hospital, Korea
| | - Seung-Hoon Lee
- From the Department of Neurology, Seoul National University Hospital, Korea
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12
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Shen XX, Zhang HD, Fu HG, Xu JL, Zhang HT, Hou L, Zou ZX, Li B, Hao FB, Duan L, Han C. Association of cognitive function and hypoperfusion in Moyamoya disease patients without stroke. J Cereb Blood Flow Metab 2023; 43:542-551. [PMID: 36397212 PMCID: PMC10063831 DOI: 10.1177/0271678x221140349] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/16/2022] [Revised: 09/06/2022] [Accepted: 10/22/2022] [Indexed: 11/19/2022]
Abstract
The influence of hypoperfusion on cognition in patients with Moyamoya disease (MMD) is unclear. This study investigated cognitive function changes in MMD patients without stroke and illustrated the relationship between cognitive impairment and hypoperfusion. We prospectively performed a structured battery of seven neurocognitive tests on 115 adult MMD patients without stroke and 82 healthy controls. Hemodynamic assessment was performed using dynamic susceptibility contrast-enhanced MRI. The best subset regression (BSR) strategy was used to identify risk factors. Global cognition (MoCA), speed of information processing (TMT-A), executive function (TMT-B), visuospatial function (CDT), and verbal memory (CAVLT) were significantly poorer in MMD patients without stroke than in healthy controls. The TMT-B score significantly correlated with cerebral blood flow (CBF) in the bilateral lateral frontal lobes, centrum semiovale, and temporal lobes. The TMT-A and CAVLT scores significantly correlated with CBF in the left centrum semiovale (L-CSO) and temporal lobes. According to the BSR results, age, education, white matter lesions, and hypoperfusion of the L-CSO were risk factors for cognitive impairment. Hypoperfusion leads to multiple cognitive impairments in MMD patients without stroke. The perfusion of particular areas may help evaluate the cognitive function of MMD patients and guide therapeutic strategies.
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Affiliation(s)
- Xu-Xuan Shen
- Department of Neurosurgery, The Fifth School of Clinical Medicine, Anhui Medical University, Beijing, China
- Department of Neurosurgery, Fifth Medical Center of Chinese PLA General Hospital, Beijing, China
| | - Hou-Di Zhang
- Department of Neurosurgery, Fifth Medical Center of Chinese PLA General Hospital, Beijing, China
| | - He-Guan Fu
- Department of Neurosurgery, The Fifth School of Clinical Medicine, Anhui Medical University, Beijing, China
- Department of Neurosurgery, Fifth Medical Center of Chinese PLA General Hospital, Beijing, China
| | - Jia-Li Xu
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Hong-Tao Zhang
- Department of Radiology, Fifth Medical Center of Chinese PLA General Hospital, Beijing, China
| | - Lei Hou
- Department of Neurology, First Medical Center of Chinese PLA General Hospital, Beijing, China
| | - Zheng-Xing Zou
- Department of Neurosurgery, Fifth Medical Center of Chinese PLA General Hospital, Beijing, China
| | - Bin Li
- Department of Neurosurgery, Fifth Medical Center of Chinese PLA General Hospital, Beijing, China
| | - Fang-Bin Hao
- Department of Neurosurgery, First Medical Center of Chinese PLA General Hospital, Beijing, China
| | - Lian Duan
- Department of Neurosurgery, The Fifth School of Clinical Medicine, Anhui Medical University, Beijing, China
- Department of Neurosurgery, First Medical Center of Chinese PLA General Hospital, Beijing, China
| | - Cong Han
- Department of Neurosurgery, The Fifth School of Clinical Medicine, Anhui Medical University, Beijing, China
- Department of Neurosurgery, First Medical Center of Chinese PLA General Hospital, Beijing, China
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13
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Ahtam B, Solti M, Doo JM, Feldman HA, Vyas R, Zhang F, O'Donnell LJ, Rathi Y, Smith ER, Orbach D, See AP, Grant PE, Lehman LL. Diffusion-Weighted Magnetic Resonance Imaging Demonstrates White Matter Alterations in Watershed Regions in Children With Moyamoya Without Stroke or Silent Infarct. Pediatr Neurol 2023; 143:89-94. [PMID: 37054515 DOI: 10.1016/j.pediatrneurol.2023.03.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/30/2022] [Revised: 02/25/2023] [Accepted: 03/12/2023] [Indexed: 04/15/2023]
Abstract
BACKGROUND Moyamoya is a disease with progressive cerebral arterial stenosis leading to stroke and silent infarct. Diffusion-weighted magnetic resonance imaging (dMRI) studies show that adults with moyamoya have significantly lower fractional anisotropy (FA) and higher mean diffusivity (MD), axial diffusivity (AD), and radial diffusivity (RD) compared with controls, which raises concern for unrecognized white matter injury. Children with moyamoya have significantly lower FA and higher MD in their white matter compared with controls. However, it is unknown which white matter tracts are affected in children with moyamoya. METHODS We present a cohort of 15 children with moyamoya with 24 affected hemispheres without stroke or silent infarct compared with 25 controls. We analyzed dMRI data using unscented Kalman filter tractography and extracted major white matter pathways with a fiber clustering method. We compared the FA, MD, AD, and RD in each segmented white matter tract and combined white matter tracts found within the watershed region using analysis of variance. RESULTS Age and sex were not significantly different between children with moyamoya and controls. Specific white matter tracts affected included inferior fronto-occipital fasciculus, inferior longitudinal fasciculus, superior longitudinal fasciculus, thalamofrontal, uncinate fasciculus, and arcuate fasciculus. Combined watershed region white matter tracts in children with moyamoya had significantly lower FA (-7.7% ± 3.2%, P = 0.02) and higher MD (4.8% ± 1.9%, P = 0.01) and RD (8.7% ± 2.8%, P = 0.002). CONCLUSIONS Lower FA with higher MD and RD is concerning for unrecognized white matter injury. Affected tracts were located in watershed regions suggesting that the findings may be due to chronic hypoperfusion. These findings support the concern that children with moyamoya without overt stroke or silent infarction are sustaining ongoing injury to their white matter microstructure and provide practitioners with a noninvasive method of more accurately assessing disease burden in children with moyamoya.
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Affiliation(s)
- Banu Ahtam
- Division of Newborn Medicine, Department of Pediatrics, Boston Children's Hospital, Boston, Massachusetts; Harvard Medical School, Boston, Massachusetts
| | - Marina Solti
- Division of Newborn Medicine, Department of Pediatrics, Boston Children's Hospital, Boston, Massachusetts
| | - Justin M Doo
- Division of Newborn Medicine, Department of Pediatrics, Boston Children's Hospital, Boston, Massachusetts
| | - Henry A Feldman
- Division of Newborn Medicine, Department of Pediatrics, Boston Children's Hospital, Boston, Massachusetts; Harvard Medical School, Boston, Massachusetts
| | - Rutvi Vyas
- Division of Newborn Medicine, Department of Pediatrics, Boston Children's Hospital, Boston, Massachusetts
| | - Fan Zhang
- Harvard Medical School, Boston, Massachusetts; Department of Radiology, Brigham and Women's Hospital, Boston, Massachusetts
| | - Lauren J O'Donnell
- Harvard Medical School, Boston, Massachusetts; Department of Radiology, Brigham and Women's Hospital, Boston, Massachusetts
| | - Yogesh Rathi
- Harvard Medical School, Boston, Massachusetts; Department of Radiology, Brigham and Women's Hospital, Boston, Massachusetts
| | - Edward R Smith
- Harvard Medical School, Boston, Massachusetts; Department of Neurosurgery, Boston Children's Hospital, Boston, Massachusetts
| | - Darren Orbach
- Harvard Medical School, Boston, Massachusetts; Department of Radiology, Boston Children's Hospital, Boston, Massachusetts
| | - Alfred P See
- Harvard Medical School, Boston, Massachusetts; Department of Neurosurgery, Boston Children's Hospital, Boston, Massachusetts; Department of Radiology, Boston Children's Hospital, Boston, Massachusetts
| | - P Ellen Grant
- Division of Newborn Medicine, Department of Pediatrics, Boston Children's Hospital, Boston, Massachusetts; Harvard Medical School, Boston, Massachusetts
| | - Laura L Lehman
- Harvard Medical School, Boston, Massachusetts; Department of Neurology, Boston Children's Hospital, Boston, Massachusetts.
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14
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Association between White Matter Hyperintensities Burden and Cognitive Function in Adult Asymptomatic Moyamoya Disease. J Clin Med 2023; 12:jcm12031143. [PMID: 36769790 PMCID: PMC9917657 DOI: 10.3390/jcm12031143] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2022] [Revised: 12/31/2022] [Accepted: 01/12/2023] [Indexed: 02/04/2023] Open
Abstract
Background and Purpose: White matter hyperintensities (WMH) caused by chronic cerebral hypoperfusion are common in Moyamoya disease (MMD) patients, but WMH burden with comprehensive cognition in adult asymptomatic MMD remains unknown. This study tried to investigate the association between the WMH burden and cognitive function in adult asymptomatic MMD. Methods: Sixty-four adult asymptomatic MMD patients without surgical revascularization were enrolled in this study and underwent a 3T MRI scan and complete cognitive tests from 2021 to 2022. WMH volume was extracted with brain anatomical analysis using the diffeomorphic deformation (BAAD) toolbox, which works on SPM 12 software. Multivariable linear regression analysis was performed to assess the association between WMH burden and cognitive function in asymptomatic MMD. Results: Firstly, our data showed that lower education levels and higher WMH burden were strongly related to global cognitive impairment after adjusting for other variables. Secondly, WMH severity was significantly associated with several domains of neurocognitive function, including memory, semantic memory, and executive function. Finally, when stratified by sex, the female participants with WMH severity had lower cognitive performance in all areas than male participants. Conclusions: These results suggest that WMH burden was highly correlated with global cognition, memory, semantic memory, and executive function in asymptomatic MMD. Especially in female participants, the relationship became more evident.
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15
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Neuroimaging in Moyamoya angiopathy: Updated review. Clin Neurol Neurosurg 2022; 222:107471. [DOI: 10.1016/j.clineuro.2022.107471] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2022] [Revised: 10/07/2022] [Accepted: 10/10/2022] [Indexed: 11/23/2022]
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16
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Hao X, Liu Z, He S, Wang Y, Zhao Y, Wang R. Application of DTI and fMRI in moyamoya disease. Front Neurol 2022; 13:948830. [PMID: 35989917 PMCID: PMC9391058 DOI: 10.3389/fneur.2022.948830] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2022] [Accepted: 07/12/2022] [Indexed: 11/13/2022] Open
Abstract
Moyamoya disease (MMD) is a chronic and progressive cerebrovascular stenosis or occlusive disease that occurs near Willis blood vessels. Diffusion tensor imaging (DTI) and functional magnetic resonance imaging (fMRI) are used to detect the microstructure of white matter and the function of gray matter, respectively. The damage of these structures will lead to the change of cognitive level in patients with moyamoya disease. In this paper, the principles of DTI and fMRI, their applications and challenges in moyamoya disease are reviewed.
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Affiliation(s)
- Xiaokuan Hao
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Ziqi Liu
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Shihao He
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Yanru Wang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Yuanli Zhao
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
- Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China
| | - Rong Wang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China
- *Correspondence: Rong Wang
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17
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Liu Z, He S, Wei Y, Duan R, Zhang C, Li T, Ma N, Lou X, Wang R, Liu X. Changes of cerebral cortical structure and cognitive dysfunction in "healthy hemisphere" after stroke: a study about cortical complexity and sulcus patterns in bilateral ischemic adult moyamoya disease. BMC Neurosci 2021; 22:66. [PMID: 34775949 PMCID: PMC8590755 DOI: 10.1186/s12868-021-00672-x] [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: 06/01/2021] [Accepted: 11/08/2021] [Indexed: 11/26/2022] Open
Abstract
Background Moyamoya disease (MMD) is an uncommon cerebrovascular disease which leads to progressive stenosis and occlusion of the bilateral internal carotid artery and main intracerebral arteries. Concerns are always on how the hemisphere with infarction affects cognitive function, while little attention is paid to the role that the non-infarcted hemisphere plays. Therefore, we aimed to detect cortical indexes, especially cortical complexity in the left or right hemisphere separately in patients with MMD after stroke. Methods 28 patients with MMD (14 males, 14 females) and 14 healthy controls were included in this study. All participants underwent cognitive tests and magnetic resonance imaging (MRI) scan. The preprocessing of three-dimensional T1 weighted images were performed by standard surface-based morphometry. Surface-based morphometry statistical analysis was carried out with a threshold of False Discovery Rate (FDR) P < 0.05 and fractal dimension (FD) was used to provide a quantitative description of cerebral cortical complexity. Results Widespread cognitive dysfunctions were found in MMD patient with stroke. Extensive FD reduction in the left hemisphere with right-sided infarction, mainly in the superior temporal, inferior frontal, and insula, while the post central gyrus, superior parietal, and inferior parietal gyrus also showed a wide range of significant differences (FDR corrected P < 0.05). Meanwhile, FD changes in the right hemisphere with left-sided infarction are restricted to the precuneus and cingulate isthmus (FDR corrected P < 0.05). Conclusions Extensive cognitive impairment was reconfirmed in Moyamoya disease with stroke, while wild and asymmetrical decrease of cortical complexity is observed on both sides. These differences could be relative to unbalanced cognitive dysfunction, and may be the result of a long-term chronic ischemia and compensatory of the contralateral hemisphere to the infarction. Supplementary Information The online version contains supplementary material available at 10.1186/s12868-021-00672-x.
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Affiliation(s)
- Ziqi Liu
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China
| | - Shihao He
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China
| | - Yanchang Wei
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China
| | - Ran Duan
- Department of Neurosurgery, Peking University International Hospital, Beijing, 102206, China
| | - Cai Zhang
- Collaborative Innovation Center of Assessment for Basic Education Quality, Beijing Normal University, Beijing, 100875, China
| | - Tian Li
- Collaborative Innovation Center of Assessment for Basic Education Quality, Beijing Normal University, Beijing, 100875, China
| | - Ning Ma
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China
| | - Xin Lou
- Department of Radiology, Chinese PLA General Hospital, Beijing, China
| | - Rong Wang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China. .,Center of Stroke, Beijing Institute for Brain Disorders, Beijing, 10069, China. .,Department of Neurosurgery, Peking University International Hospital, Beijing, 102206, China.
| | - Xiaoyuan Liu
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China.
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18
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Zhang X, Xiao W, Zhang Q, Xia D, Gao P, Su J, Yang H, Gao X, Ni W, Lei Y, Gu Y. Progression in Moyamoya Disease: Clinical Feature, Neuroimaging Evaluation and Treatment. Curr Neuropharmacol 2021; 20:292-308. [PMID: 34279201 PMCID: PMC9413783 DOI: 10.2174/1570159x19666210716114016] [Citation(s) in RCA: 30] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2021] [Revised: 05/08/2021] [Accepted: 07/09/2021] [Indexed: 11/22/2022] Open
Abstract
Moyamoya disease (MMD) is a chronic cerebrovascular disease characterized by progressive stenosis of the arteries of the circle of Willis, with the formation of collateral vascular network at the base of the brain. Its clinical manifestations are complicated. Numerous studies have attempted to clarify the clinical features of MMD, including its epidemiology, genetic characteristics, and pathophysiology. With the development of neuroimaging techniques, various neuroimaging modalities with different advantages have deepened the understanding of MMD in terms of structural, functional, spatial, and temporal dimensions. At present, the main treatment for MMD focuses on neurological protection, cerebral blood flow reconstruction, and neurological rehabilitation, such as pharmacological treatment, surgical revascularization, and cognitive rehabilitation. In this review, we discuss recent progress in understanding the clinical features, in the neuroimaging evaluation and treatment of MMD.
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Affiliation(s)
- Xin Zhang
- Department of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, China
| | - Weiping Xiao
- Department of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, China
| | - Qing Zhang
- Department of Nursing, Huashan Hospital North, Fudan University, China
| | - Ding Xia
- Department of Radiology, Huashan Hospital North, Fudan University, China
| | - Peng Gao
- Department of Radiology, Huashan Hospital North, Fudan University, China
| | - Jiabin Su
- Department of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, China
| | - Heng Yang
- Department of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, China
| | - Xinjie Gao
- Department of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, China
| | - Wei Ni
- Department of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, China
| | - Yu Lei
- Department of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, China
| | - Yuxiang Gu
- Department of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, China
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19
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Zhao B, Li T, Yang Y, Wang X, Luo T, Shan Y, Zhu Z, Xiong D, Hauberg ME, Bendl J, Fullard JF, Roussos P, Li Y, Stein JL, Zhu H. Common genetic variation influencing human white matter microstructure. Science 2021; 372:372/6548/eabf3736. [PMID: 34140357 DOI: 10.1126/science.abf3736] [Citation(s) in RCA: 118] [Impact Index Per Article: 29.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2020] [Accepted: 04/23/2021] [Indexed: 12/11/2022]
Abstract
Brain regions communicate with each other through tracts of myelinated axons, commonly referred to as white matter. We identified common genetic variants influencing white matter microstructure using diffusion magnetic resonance imaging of 43,802 individuals. Genome-wide association analysis identified 109 associated loci, 30 of which were detected by tract-specific functional principal components analysis. A number of loci colocalized with brain diseases, such as glioma and stroke. Genetic correlations were observed between white matter microstructure and 57 complex traits and diseases. Common variants associated with white matter microstructure altered the function of regulatory elements in glial cells, particularly oligodendrocytes. This large-scale tract-specific study advances the understanding of the genetic architecture of white matter and its genetic links to a wide spectrum of clinical outcomes.
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Affiliation(s)
- Bingxin Zhao
- Department of Statistics, Purdue University, West Lafayette, IN 47907, USA
| | - Tengfei Li
- Department of Radiology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.,Biomedical Research Imaging Center, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Yue Yang
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Xifeng Wang
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Tianyou Luo
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Yue Shan
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Ziliang Zhu
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Di Xiong
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Mads E Hauberg
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.,Department of Genetics and Genomic Science and Institute for Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.,iPSYCH, The Lundbeck Foundation Initiative for Integrative Psychiatric Research, 8210 Aarhus, Denmark.,Centre for Integrative Sequencing (iSEQ), Aarhus University, 8000 Aarhus, Denmark
| | - Jaroslav Bendl
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.,Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.,Department of Genetics and Genomic Science and Institute for Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - John F Fullard
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.,Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.,Department of Genetics and Genomic Science and Institute for Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Panagiotis Roussos
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.,Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.,Department of Genetics and Genomic Science and Institute for Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.,Mental Illness Research, Education, and Clinical Center (VISN 2 South), James J. Peters VA Medical Center, Bronx, NY 10468, USA
| | - Yun Li
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.,Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.,Department of Computer Science, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Jason L Stein
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.,UNC Neuroscience Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Hongtu Zhu
- Biomedical Research Imaging Center, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA. .,Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
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