The Experts below are selected from a list of 19053 Experts worldwide ranked by ideXlab platform
David J Mikulis - One of the best experts on this subject based on the ideXlab platform.
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somatosensory cortical atrophy after spinal cord injury a Voxel Based Morphometry study
Neurology, 2006Co-Authors: Michael T Jurkiewicz, Adrian P Crawley, Molly C Verrier, Michael G Fehlings, David J MikulisAbstract:The authors used Voxel-Based Morphometry to compare sensorimotor cortical gray and white matter volume on structural MR images of a group of 17 individuals with cervical spinal cord injury (SCI) and a group of 17 healthy subjects. SCI subjects had reduced gray matter volume bilaterally in primary somatosensory cortex (p < 0.001). These findings suggest that the somatosensory cortex of the human brain atrophies after SCI.
Wendy R. Kates - One of the best experts on this subject based on the ideXlab platform.
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A large scale (N = 400) investigation of gray matter differences in schizophrenia using optimized Voxel-Based Morphometry
Schizophrenia Research, 2008Co-Authors: Shashwath A. Meda, David J. Schretlen, Nicole R. Giuliani, Vince D. Calhoun, Kanchana Jagannathan, A. E. Pulver, Nicola G. Cascella, Matcheri S. Keshavan, Wendy R. Kates, Robert BuchananAbstract:Background Many studies have employed Voxel-Based Morphometry (VBM) of MRI images as an automated method of investigating cortical gray matter differences in schizophrenia. However, results from these studies vary widely, likely due to different methodological or statistical approaches.
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a large scale n 400 investigation of gray matter differences in schizophrenia using optimized Voxel Based Morphometry
Schizophrenia Research, 2008Co-Authors: Shashwath A. Meda, David J. Schretlen, Nicole R. Giuliani, Vince D. Calhoun, Kanchana Jagannathan, A. E. Pulver, Nicola G. Cascella, Matcheri S. Keshavan, Wendy R. KatesAbstract:Background Many studies have employed Voxel-Based Morphometry (VBM) of MRI images as an automated method of investigating cortical gray matter differences in schizophrenia. However, results from these studies vary widely, likely due to different methodological or statistical approaches.
Binbin Nie - One of the best experts on this subject based on the ideXlab platform.
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Concentration Changes of Whole Brain Gray and White Matter in Children Patients with Tourette Syndrome: Evidence from Voxel-Based Morphometry
Pediatric Research, 2011Co-Authors: Yue Liu, Yun Peng, Peiyi Gao, Binbin NieAbstract:Concentration Changes of Whole Brain Gray and White Matter in Children Patients with Tourette Syndrome: Evidence from Voxel-Based Morphometry
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Volume Changes of Whole Brain Gray and White Matter in Children Patients with Tourette's Syndrome: Evidence from Voxel-Based Morphometry
Pediatric Research, 2011Co-Authors: Yue Liu, Yun Peng, Peiyi Gao, Binbin NieAbstract:Volume Changes of Whole Brain Gray and White Matter in Children Patients with Tourette's Syndrome: Evidence from Voxel-Based Morphometry
Nan Chen - One of the best experts on this subject based on the ideXlab platform.
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brain gray matter atrophy after spinal cord injury a Voxel Based Morphometry study
Frontiers in Human Neuroscience, 2017Co-Authors: Qian Chen, Weimin Zheng, Xin Chen, Lu Wan, Wen Qin, Nan ChenAbstract:The aim of this study was to explore possible changes in whole brain gray matter volume (GMV) after spinal cord injury (SCI) using Voxel-Based Morphometry (VBM), and to study their associations with the injury duration, severity, and clinical variables. In total, 21 patients with SCI (10 with complete and 11 with incomplete SCI) and 21 age- and sex-matched healthy controls (HCs) were recruited. The 3D high-resolution T1-weighted structural images of all subjects were obtained using a 3.0 Tesla MRI system. Disease duration and American Spinal Injury Association (ASIA) Scale scores were also obtained from each patient. Voxel-Based Morphometry analysis was carried out to investigate the differences in GMV between patients with SCI and HCs, and between the SCI sub-groups. Associations between GMV and clinical variables were also analyzed. Compared with HCs, patients with SCI showed significant GMV decrease in the dorsal anterior cingulate cortex, bilateral anterior insular cortex, bilateral orbital frontal cortex (OFC), and right superior temporal gyrus. No significant difference in GMV in these areas was found either between the complete and incomplete SCI sub-groups, or between the sub-acute (duration 1 year) sub-groups. Finally, the GMV of the right OFC was correlated with the clinical motor scores of left extremities in not only all SCI patients, but especially the CSCI subgroup. In the sub-acute subgroup, we found a significant positive correlation between the dACC GMV and the total clinical motor scores, and a significant negative correlation between right OFC GMV and the injury duration. These findings indicate that SCI can cause remote atrophy of brain gray matter, especially in the salient network. In general, the duration and severity of SCI may be not associated with the degree of brain atrophy in total SCI patients, but there may be associations between them in subgroups.
Weimin Zheng - One of the best experts on this subject based on the ideXlab platform.
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brain gray matter atrophy after spinal cord injury a Voxel Based Morphometry study
Frontiers in Human Neuroscience, 2017Co-Authors: Qian Chen, Weimin Zheng, Xin Chen, Lu Wan, Wen Qin, Nan ChenAbstract:The aim of this study was to explore possible changes in whole brain gray matter volume (GMV) after spinal cord injury (SCI) using Voxel-Based Morphometry (VBM), and to study their associations with the injury duration, severity, and clinical variables. In total, 21 patients with SCI (10 with complete and 11 with incomplete SCI) and 21 age- and sex-matched healthy controls (HCs) were recruited. The 3D high-resolution T1-weighted structural images of all subjects were obtained using a 3.0 Tesla MRI system. Disease duration and American Spinal Injury Association (ASIA) Scale scores were also obtained from each patient. Voxel-Based Morphometry analysis was carried out to investigate the differences in GMV between patients with SCI and HCs, and between the SCI sub-groups. Associations between GMV and clinical variables were also analyzed. Compared with HCs, patients with SCI showed significant GMV decrease in the dorsal anterior cingulate cortex, bilateral anterior insular cortex, bilateral orbital frontal cortex (OFC), and right superior temporal gyrus. No significant difference in GMV in these areas was found either between the complete and incomplete SCI sub-groups, or between the sub-acute (duration 1 year) sub-groups. Finally, the GMV of the right OFC was correlated with the clinical motor scores of left extremities in not only all SCI patients, but especially the CSCI subgroup. In the sub-acute subgroup, we found a significant positive correlation between the dACC GMV and the total clinical motor scores, and a significant negative correlation between right OFC GMV and the injury duration. These findings indicate that SCI can cause remote atrophy of brain gray matter, especially in the salient network. In general, the duration and severity of SCI may be not associated with the degree of brain atrophy in total SCI patients, but there may be associations between them in subgroups.
