Brain complexity analysis of functional near infrared spectroscopy for working memory study

Thanate Angsuwatanakul, Keiji Iramina, Boonserm Kaewkamnerdpong

研究成果: Chapter in Book/Report/Conference proceedingConference contribution

5 被引用数 (Scopus)

抄録

Working memory is an important brain function for memorizing information in everyday life. This study proposed an alternative approach for analyzing visual working memory based on brain complexity to identify brain state condition for memorizing new scenes. Multi-scale entropy (MSE) was used for analyzing the complexity of function Near Infrared Spectroscopy (fNIRS) data measuring the hemodynamic response of brain during a cognitive experiment. The results revealed the distinctive entropy between remembered and forgotten cases in premotor cortex area at FC3 position. The entropy of remembered case is higher than that of forgotten case; this could indicate that the brain requires more activity and, then, more hemodynamic responses for good memorizing. Hence, the results indicated the potential of using the complexity of fNIRS for characterizing the brain state for working memory.

本文言語英語
ホスト出版物のタイトルBMEiCON 2015 - 8th Biomedical Engineering International Conference
出版社Institute of Electrical and Electronics Engineers Inc.
ISBN(電子版)9781467391580
DOI
出版ステータス出版済み - 2 4 2016
イベント8th Biomedical Engineering International Conference, BMEiCON 2015 - Pattaya, タイ
継続期間: 11 25 201511 27 2015

出版物シリーズ

名前BMEiCON 2015 - 8th Biomedical Engineering International Conference

その他

その他8th Biomedical Engineering International Conference, BMEiCON 2015
Countryタイ
CityPattaya
Period11/25/1511/27/15

All Science Journal Classification (ASJC) codes

  • Biomedical Engineering

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