Predictors of Recovery from Traumatic Brain Injury-Induced Prolonged Consciousness Disorder
We investigated the clinical predictors of the degree of recovery in patients with prolonged disorders of consciousness (PDC) caused by traumatic brain injury. Fourteen patients with PDC underwent two diffusion tensor imaging (DTI) studies; the first and second scans were performed at 345.6±192.6 an...
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| Language: | English |
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Wiley
2017-01-01
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| Series: | Neural Plasticity |
| Online Access: | http://dx.doi.org/10.1155/2017/9358092 |
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| author | Hiroaki Abe Keigo Shimoji Yoshihide Nagamine Satoru Fujiwara Shin-Ichi Izumi |
| author_facet | Hiroaki Abe Keigo Shimoji Yoshihide Nagamine Satoru Fujiwara Shin-Ichi Izumi |
| author_sort | Hiroaki Abe |
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| description | We investigated the clinical predictors of the degree of recovery in patients with prolonged disorders of consciousness (PDC) caused by traumatic brain injury. Fourteen patients with PDC underwent two diffusion tensor imaging (DTI) studies; the first and second scans were performed at 345.6±192.6 and 689.1±272.2 days after the injury, respectively. In addition to the temporal changes in each of these diffusion parameters, fractional anisotropy (FA), mean diffusivity, axial diffusivity (AD), and radial diffusivity were assessed over a 1-year period. Relationship of clinical and DTI parameters with recovery from PDC (RPDC) was evaluated using Spearman’s rank-correlation and stepwise multiple linear regression analysis. The mean FA and number of voxels with FA values > 0.4 (VsFA0.4) were significantly decreased at the second scan. A significant positive correlation was observed between the degree of RPDC and mean FA (r=0.60) and VsFA0.4 (r=0.68) as well as between the difference in VsFA0.4 (r=0.63) and AD (r=0.54) between the first and second scans. On multiple linear regression analysis, initial severity of PDC and the difference in AD remained significantly associated with the degree of RPDC. The microstructural white matter changes observed in this study indicate their potential relation with the degree of RPDC over the longer term. |
| format | Article |
| id | doaj-art-7cf1260dd3ff404bb6657fe55a12ab3c |
| institution | OA Journals |
| issn | 2090-5904 1687-5443 |
| language | English |
| publishDate | 2017-01-01 |
| publisher | Wiley |
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| series | Neural Plasticity |
| spelling | doaj-art-7cf1260dd3ff404bb6657fe55a12ab3c2025-08-20T02:07:26ZengWileyNeural Plasticity2090-59041687-54432017-01-01201710.1155/2017/93580929358092Predictors of Recovery from Traumatic Brain Injury-Induced Prolonged Consciousness DisorderHiroaki Abe0Keigo Shimoji1Yoshihide Nagamine2Satoru Fujiwara3Shin-Ichi Izumi4Department of Rehabilitation Medicine, Kohnan Hospital, Tohoku Ryogo Center, Sendai, JapanDepartment of Diagnostic Radiology, Tokyo Metropolitan Geriatric Hospital, Tokyo, JapanDepartment of Neurosurgery, Kohnan Hospital, Tohoku Ryogo Center, Sendai, JapanDepartment of Neurosurgery, Kohnan Hospital, Sendai, JapanDepartment of Physical Medicine and Rehabilitation, Graduate School of Medicine, Tohoku University, Sendai, JapanWe investigated the clinical predictors of the degree of recovery in patients with prolonged disorders of consciousness (PDC) caused by traumatic brain injury. Fourteen patients with PDC underwent two diffusion tensor imaging (DTI) studies; the first and second scans were performed at 345.6±192.6 and 689.1±272.2 days after the injury, respectively. In addition to the temporal changes in each of these diffusion parameters, fractional anisotropy (FA), mean diffusivity, axial diffusivity (AD), and radial diffusivity were assessed over a 1-year period. Relationship of clinical and DTI parameters with recovery from PDC (RPDC) was evaluated using Spearman’s rank-correlation and stepwise multiple linear regression analysis. The mean FA and number of voxels with FA values > 0.4 (VsFA0.4) were significantly decreased at the second scan. A significant positive correlation was observed between the degree of RPDC and mean FA (r=0.60) and VsFA0.4 (r=0.68) as well as between the difference in VsFA0.4 (r=0.63) and AD (r=0.54) between the first and second scans. On multiple linear regression analysis, initial severity of PDC and the difference in AD remained significantly associated with the degree of RPDC. The microstructural white matter changes observed in this study indicate their potential relation with the degree of RPDC over the longer term.http://dx.doi.org/10.1155/2017/9358092 |
| spellingShingle | Hiroaki Abe Keigo Shimoji Yoshihide Nagamine Satoru Fujiwara Shin-Ichi Izumi Predictors of Recovery from Traumatic Brain Injury-Induced Prolonged Consciousness Disorder Neural Plasticity |
| title | Predictors of Recovery from Traumatic Brain Injury-Induced Prolonged Consciousness Disorder |
| title_full | Predictors of Recovery from Traumatic Brain Injury-Induced Prolonged Consciousness Disorder |
| title_fullStr | Predictors of Recovery from Traumatic Brain Injury-Induced Prolonged Consciousness Disorder |
| title_full_unstemmed | Predictors of Recovery from Traumatic Brain Injury-Induced Prolonged Consciousness Disorder |
| title_short | Predictors of Recovery from Traumatic Brain Injury-Induced Prolonged Consciousness Disorder |
| title_sort | predictors of recovery from traumatic brain injury induced prolonged consciousness disorder |
| url | http://dx.doi.org/10.1155/2017/9358092 |
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