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KAKEN_16K12970seika.pdf
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Download
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:193.4 KB
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:Nov 12, 2018 |
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運動に伴う脳機能変化を灰白質構造変化から予測する新手法の開発
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ウンドウ ニ トモナウ ノウ キノウ ヘンカ オ カイハクシツ コウゾウ ヘンカ カラ ヨソクスル シンシュホウ ノ カイハツ
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Undō ni tomonau nō kinō henka o kaihakushitsu kōzō henka kara yosokusuru shinshuhō no kaihatsu
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Assessment of brain activities using short-term gray matter changes
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春日, 翔子
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カスガ, ショウコ
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Kasuga, Shoko
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慶應義塾大学・理工学研究科・助教
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Research team head
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科研費研究者番号 : 70632529
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鏑木, 悠治
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カブラキ, ユウジ
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Kaburaki, Yuji
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慶應義塾大学・理工学部・前期博士課程
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Research team member
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牛場, 潤一
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ウシバ, ジュンイチ
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Ushiba, Junichi
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慶應義塾大学・理工学部・准教授
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Research team member
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科研費研究者番号 : 00383985
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2018
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科学研究費補助金研究成果報告書
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2017
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本研究は, 磁気共鳴画像法(MRI)により取得した脳構造情報に基づく新規な脳機能評価法の開発を目的とした。眼球または手首運動の直後に撮像したMRIの構造画像に対してVoxel-Based Morphometry(VBM)解析をおこない, 運動中に撮像した機能的MRIにおける脳賦活部位と比較したところ, 類似した部位で灰白質構造変化が認められた。上記の結果より, 効果器の異なる複数の運動課題において短時間の灰白質構造変化が脳の機能的活動を反映することが明らかとなり, VBMの脳機能評価法としての妥当性が示された。
We aimed at investigating validity of a novel functional assessment protocol of brain activity associated with motor tasks, which uses brain structural information acquired by magnetic resonance imaging (MRI). Structural brain images obtained by MRI after an eye- or wrist-movement task was analyzed by Voxel-Based Morphometry (VBM) to quantify changes in local gray matter volumes. We compared brain regions showing significant gray matter changes with regions showing brain activity during the motor tasks, the latter of which was obtained by functional MRI (fMRI). The regions detected in VBM was partially overlapped with those detected in fMRI, suggesting that short-term gray matter change reflect functional brain activity in the corresponding region in multiple kinds of motor tasks. The current results indicate that VBM can be used as a functional assessment of brain activity.
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研究種目 : 挑戦的萌芽研究
研究期間 : 2016～2017
課題番号 : 16K12970
研究分野 : 神経科学
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