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

Thanate Angsuwatanakul, Keiji Iramina, Boonserm Kaewkamnerdpong

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationBMEiCON 2015 - 8th Biomedical Engineering International Conference
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781467391580
DOIs
Publication statusPublished - Feb 4 2016
Event8th Biomedical Engineering International Conference, BMEiCON 2015 - Pattaya, Thailand
Duration: Nov 25 2015Nov 27 2015

Publication series

NameBMEiCON 2015 - 8th Biomedical Engineering International Conference

Other

Other8th Biomedical Engineering International Conference, BMEiCON 2015
CountryThailand
CityPattaya
Period11/25/1511/27/15

All Science Journal Classification (ASJC) codes

  • Biomedical Engineering

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