＜シンポジウム（2）―13―1＞嚥下障害の神経メカニズムと新たな治療戦略
NIRS脳機能計測におけるノイズとの戦い：嚥下研究応用への示唆
檀 一平太1）, 佐野 俊文1）, 檀 はるか2）, 渡辺 英寿2）
1）自治医科大学医学部先端医療技術開発センター脳機能研究部門〔〒329―0498 栃木県下野市薬師寺3311―1〕
2）同 医学部脳神経外科学教室
Functional near-infrared spectroscopy (fNIRS) may be suited for functional monitoring during swallowing as it is comparatively immune to body movement. However, still fNIRS measurement on swallowing poses a technical problem that it may often involve motion artifacts. Although there is no single way to solve this problem, technical insights have been available form related studies in the past. Here we introduce two examples for analyzing data rich in motion artifacts putting emphasis on temporal structures of the data. The first is about fNIRS assessment of language function during overt naming tasks. Since data were temporally continuous, we adopted a general linear model with regression to a canonical hemodynamic response function to extract cortical activations related to overt naming tasks. The second example is about fNIRS assessment on go/no-go task performance with or without methylphenidate administration in Attention Deficit Hyperactivity Disorder (ADHD) children. Since data were disrupted by unexpected motion artifacts, we simplified temporal data structures by averaging to extract only robust signals. Thus, we indicated that the optimum analytical strategy varies depending on the temporal structures of the data.
Full Text of this Article in Japanese PDF (489K)
(臨床神経, 52：1188−1190, 2012)
key words：光脳機能イメージング，機能的近赤外分光分析法，脳機能マッピング
（受付日：2012年5月24日）
