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231225s2018 xx |||||o 00| ||eng c |
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|a 10.1155/2018/3901016
|2 doi
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|a pubmed24n0945.xml
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|a DE-627
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|c DE-627
|e rakwb
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|a eng
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| 100 |
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|a Yamada, Naoki
|e verfasserin
|4 aut
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| 245 |
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|a Diffusion Tensor Imaging Evaluation of Neural Network Development in Patients Undergoing Therapeutic Repetitive Transcranial Magnetic Stimulation following Stroke
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|c 2018
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|a Text
|b txt
|2 rdacontent
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|a ƒaComputermedien
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|a ƒa Online-Ressource
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|a Date Completed 27.11.2018
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|a Date Revised 27.11.2018
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|a published: Electronic-eCollection
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|a Citation Status MEDLINE
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|a We aimed to investigate plastic changes in cerebral white matter structures using diffusion tensor imaging following a 15-day stroke rehabilitation program. We compared the detection of cerebral plasticity between generalized fractional anisotropy (GFA), a novel tool for investigating white matter structures, and fractional anisotropy (FA). Low-frequency repetitive transcranial magnetic stimulation (LF-rTMS) of 2400 pulses applied to the nonlesional hemisphere and 240 min intensive occupation therapy (OT) daily over 15 days. Motor function was evaluated using the Fugl-Meyer assessment (FMA) and Wolf Motor Function Test (WMFT). Patients underwent diffusion tensor magnetic resonance imaging (MRI) on admission and discharge, from which bilateral FA and GFA values in Brodmann area (BA) 4 and BA6 were calculated. Motor function improved following treatment (p < 0.001). Treatment increased GFA values for both the lesioned and nonlesioned BA4 (p < 0.05, p < 0.001, resp.). Changes in GFA value for BA4 of the lesioned hemisphere were significantly inversely correlated with changes in WMFT scores (R2 = 0.363, p < 0.05). Our findings indicate that the GFA may have a potentially more useful ability than FA to detect changes in white matter structures in areas of fiber intersection for any such future investigations
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|a Journal Article
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|a Research Support, Non-U.S. Gov't
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|a Ueda, Ryo
|e verfasserin
|4 aut
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| 700 |
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|a Kakuda, Wataru
|e verfasserin
|4 aut
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| 700 |
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|a Momosaki, Ryo
|e verfasserin
|4 aut
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| 700 |
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|a Kondo, Takahiro
|e verfasserin
|4 aut
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| 700 |
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|a Hada, Takuya
|e verfasserin
|4 aut
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| 700 |
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|a Sasaki, Nobuyuki
|e verfasserin
|4 aut
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| 700 |
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|a Hara, Takatoshi
|e verfasserin
|4 aut
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| 700 |
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|a Senoo, Atsushi
|e verfasserin
|4 aut
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| 700 |
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|a Abo, Masahiro
|e verfasserin
|4 aut
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| 773 |
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|i Enthalten in
|t Neural plasticity
|d 1998
|g 2018(2018) vom: 14., Seite 3901016
|w (DE-627)NLM098558390
|x 1687-5443
|7 nnns
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| 773 |
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|g volume:2018
|g year:2018
|g day:14
|g pages:3901016
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|u http://dx.doi.org/10.1155/2018/3901016
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