Detecting event-related motor activity using functional near-infrared spectroscopy

Takuya Ozawa, Takatsugu Aihara, Yusuke Fujiwara, Yohei Otaka, Isao Nambu, Rieko Osu, Jun Izawa, Yasuhiro Wada

研究成果: Conference contribution

3 被引用数 (Scopus)

抄録

Measuring discrete-trial motor-related brain activity using functional near-infrared spectroscopy (fNIRS) is considered difficult. This is because its spatial resolution is much lower than that of functional magnetic resonance imaging (fMRI), and its signals include non-motion-related artifacts. To detect changes in hemoglobin induced by movements, most fNIRS studies have used a block design in which a subject conducts a set of repetitive movements for over a few seconds. Changes in hemoglobin induced by the series of movements are accumulated. Here, we address whether fNIRS can detect a phasic change induced by a discrete ballistic movement using an event-related design similar to those often adopted in fMRI experiments. To detect only event-related brain activity and to reduce the effect of artifacts, we adopted a general linear model whose design matrix contains data from the short transmitter-receiver distance channels that are considered components of artifacts. As a result, high event-related activity was detected in the contralateral sensorimotor cortex. We also compared the topographic functional map produced by fNIRS with the map given by an event-related fMRI experiment in which the same subjects performed exactly the same task. Both maps showed activity in equivalent areas, and the similarity was significant. We conclude that fNIRS affords the opportunity to explore motor-related brain activity even for discrete ballistic movements.

本文言語English
ホスト出版物のタイトル2013 6th International IEEE EMBS Conference on Neural Engineering, NER 2013
ページ1529-1532
ページ数4
DOI
出版ステータスPublished - 2013
外部発表はい
イベント2013 6th International IEEE EMBS Conference on Neural Engineering, NER 2013 - San Diego, CA, United States
継続期間: 06-11-201308-11-2013

出版物シリーズ

名前International IEEE/EMBS Conference on Neural Engineering, NER
ISSN(印刷版)1948-3546
ISSN(電子版)1948-3554

Other

Other2013 6th International IEEE EMBS Conference on Neural Engineering, NER 2013
国/地域United States
CitySan Diego, CA
Period06-11-1308-11-13

All Science Journal Classification (ASJC) codes

  • 人工知能
  • 機械工学

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