Dynamics of hemoglobin states in the sensorimotor cortex during motor tasks: A functional near infrared spectroscopy study

Chia Feng Lu, Shin Teng, Yu Te Wu

研究成果: 書貢獻/報告類型會議貢獻

4 引文 斯高帕斯(Scopus)

摘要

In this study, we used functional near infrared spectroscopy (fNIRS) imaging to investigate the independent levels of oxygenated, deoxygenated, and total hemoglobin (oxy-Hb, deoxy-Hb, and total-Hb, respectively) at the sensorimotor cortex during hand-grasping motor tasks. Our results showed that the activation of contralateral primary motor cortex (M1) exhibited increased oxy-Hb and reduced dexoy-Hb after hand grasping began. Meanwhile, the contralateral primary somatosensory cortex (S1) was deactivated with reductions of both oxy-Hb and deoxy-Hb concentration. The Hb circulation patterns indicated that the hand grasping demanded rapid and sufficient O2 supply at contralateral M1, which was achieved by the local vasodilation. The contralateral S1 presented decreased total-Hb via the mechanism of vasoconstriction, and maintained the local oxygenation level in a relatively stable state (mostly with O2 debt) to compensate the blood demanding at nearby M1. This study presented that fNIRS data can efficiently differentiate the activation of M1 from the deactivation of S1 during motor tasks, which can provide full interpretations of hemodynamic response to the neuronal activation in comparison with the Blood Oxygenation Level Dependent signal of functional magnetic resonance imaging.
原文英語
主出版物標題2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2013
頁面1803-1806
頁數4
DOIs
出版狀態已發佈 - 2013
對外發佈Yes
事件2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2013 - Osaka, 日本
持續時間: 七月 3 2013七月 7 2013

會議

會議2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2013
國家日本
城市Osaka
期間7/3/137/7/13

ASJC Scopus subject areas

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

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