Presentation 2012-01-27
Bayesian-Based Screening for Cognitive Impairment Using fNIRS Signals during Cognitive Tests
Shohei KATO, Hidetoshi ENDO, Yuta SUZUKI,
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Abstract(in English) This paper presents a new trial approach to early detection of dementia in the elderly with the use of functional brain imaging during cognitive tests. We have developed a non-invasive screening system of the elderly with cognitive impairment. We had started the measurement of functional brain imaging for patient having a cognitive test by using functional near-infrared spectroscopy (fNIRS). We had collected 42 CHs fNIRS signals on frontal and right and left temporal areas from 50 elderly participants (18 males and 32 females between ages of 64 to 92) during cognitive tests in a specialized medical institute. We propose a Bayesian classifier, which can discriminate among elderly individuals with three clinical groups: normal cognitive abilities (NC), patients with mild cognitive impairment (MCI), and Alzheimer's disease (AD). This paper also reports the examination of the detection performance by cross-validation, and discusses the effectiveness of this study for early detection of cognitive impairment in elderly subjects. Consequently, empirical results that both the accuracy rate of AD and the predictive value of NC are equal to or more than 90%. This suggests that proposed approach is adequate practical to screen the elderly with cognitive impairment.
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Keyword(in English) early detection of dementia / functional near infrared spectroscopy / fNIRS / Bayesian classifier
Paper # WIT2011-56
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Committee WIT
Conference Date 2012/1/20(1days)
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Registration To Well-being Information Technology(WIT)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Bayesian-Based Screening for Cognitive Impairment Using fNIRS Signals during Cognitive Tests
Sub Title (in English)
Keyword(1) early detection of dementia
Keyword(2) functional near infrared spectroscopy
Keyword(3) fNIRS
Keyword(4) Bayesian classifier
1st Author's Name Shohei KATO
1st Author's Affiliation Graduate School of Engineering, Nagoya Institute of Technology()
2nd Author's Name Hidetoshi ENDO
2nd Author's Affiliation National Center for Geriatrics and Gerontology
3rd Author's Name Yuta SUZUKI
3rd Author's Affiliation Graduate School of Engineering, Nagoya Institute of Technology
Date 2012-01-27
Paper # WIT2011-56
Volume (vol) vol.111
Number (no) 424
Page pp.pp.-
#Pages 6
Date of Issue