Evoked hemodynamic response of the auditory cortex measured by magnetoencephalography and near‐infrared spectroscopy

1996 ◽  
Vol 100 (4) ◽  
pp. 2630-2630
Author(s):  
Michihiro Ohnishi ◽  
Shinobu Masaki ◽  
Kiyoshi Honda ◽  
Naoki Kusakawa ◽  
Noboru Hayashi ◽  
...  
Keyword(s):  
Infrared Spectroscopy ◽  
Auditory Cortex ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Hemodynamic Response

Cortical Hemodynamic Response Associated with Spatial Coding: A Near-Infrared Spectroscopy Study

2021 ◽  
Vol 34 (2) ◽  
pp. 207-220
Author(s):  
Abiot Y. Derbie ◽  
Bolton Chau ◽  
Bess Lam ◽  
Yun-hua Fang ◽  
Kin-Hung Ting ◽  
...  
Keyword(s):  
Infrared Spectroscopy ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Hemodynamic Response ◽  
Spectroscopy Study ◽  
Spatial Coding

scholarly journals Evoked Hemodynamic Response Estimation to Auditory Stimulus Using Recursive Least Squares Adaptive Filtering with Multidistance Measurement of Near-Infrared Spectroscopy

2018 ◽  
Vol 2018 ◽  
pp. 1-8 ◽  
Author(s):  
Yan Zhang ◽  
Xin Liu ◽  
Dan Liu ◽  
Chunling Yang ◽  
Qisong Wang ◽  
...  
Keyword(s):  
Infrared Spectroscopy ◽  
Least Squares ◽  
Auditory Stimulus ◽  
Near Infrared Spectroscopy ◽  
Adaptive Filtering ◽  
Near Infrared ◽  
Continuous Wave ◽  
Hemodynamic Response ◽  
Recursive Least Squares ◽  
Functional Near Infrared Spectroscopy

The performance of functional near-infrared spectroscopy (fNIRS) is sometimes degraded by the interference caused by the physical or the systemic physiological activities. Several interferences presented during fNIRS recordings are mainly induced by cardiac pulse, breathing, and spontaneous physiological low-frequency oscillations. In previous work, we introduced a multidistance measurement to reduce physiological interference based on recursive least squares (RLS) adaptive filtering. Monte Carlo simulations have been implemented to evaluate the performance of RLS adaptive filtering. However, its suitability and performance on human data still remain to be evaluated. Here, we address the issue of how to detect evoked hemodynamic response to auditory stimulus using RLS adaptive filtering method. A multidistance probe based on continuous wave fNIRS is devised to achieve the fNIRS measurement and further study the brain functional activation. This study verifies our previous findings that RLS adaptive filtering is an effective method to suppress global interference and also provides a practical way for real-time detecting brain activity based on multidistance measurement.

Sex differences in prefrontal hemodynamic response to mental arithmetic as assessed by near-infrared spectroscopy

2009 ◽  
Vol 6 (4) ◽  
pp. 565-574 ◽  
Author(s):  
Hongyu Yang ◽  
Ying Wang ◽  
Zhenyu Zhou ◽  
Hui Gong ◽  
Qingming Luo ◽  
...  
Keyword(s):  
Sex Differences ◽  
Infrared Spectroscopy ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Mental Arithmetic ◽  
Hemodynamic Response

scholarly journals Cerebral Hemodynamic Response to Unpleasant Odors in the Preterm Newborn Measured by Near-Infrared Spectroscopy

2001 ◽  
Vol 50 (3) ◽  
pp. 324-330 ◽  
Author(s):  
Marco Bartocci ◽  
Jan Winberg ◽  
Gesa Papendieck ◽  
Teresa Mustica ◽  
Giovanni Serra ◽  
...  
Keyword(s):  
Infrared Spectroscopy ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Hemodynamic Response ◽  
Preterm Newborn ◽  
Cerebral Hemodynamic

Robust functional near infrared spectroscopy denoising using multiple wavelet shrinkage based on a hemodynamic response model

2018 ◽  
Vol 26 (2) ◽  
pp. 79-86 ◽  
Author(s):  
Gihyoun Lee ◽  
Seung Hyun Lee ◽  
Sang Hyeon Jin ◽  
Jinung An
Keyword(s):  
Infrared Spectroscopy ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
General Linear Model ◽  
Hemodynamic Response ◽  
Response Model ◽  
Functional Magnetic Resonance ◽  
Resonance Imaging ◽  
Wavelet Shrinkage ◽  
Functional Near Infrared Spectroscopy

Functional near infrared spectroscopy can measure hemodynamic signals, and the results are similar to functional magnetic resonance imaging of blood-oxygen-level-dependent signals. Thus, functional near infrared spectroscopy can be employed to investigate brain activity by measuring the absorption of near infrared light through an intact skull. Recently, a general linear model, which is a standard method for functional magnetic resonance imaging, was applied to functional near infrared spectroscopy imaging analysis. However, the general linear model fails when functional near infrared spectroscopy signals retain noise, such as that caused by the subject's movement during measurement. Although wavelet-based denoising and hemodynamic response function smoothing are popular denoising methods for functional near infrared spectroscopy signals, these methods do not exhibit impressive performances for very noisy environments and a specific class of noise. Thus, this paper proposes a new denoising algorithm that uses multiple wavelet shrinkage and a multiple threshold function based on a hemodynamic response model. Through the experiments, the performance of the proposed algorithm is verified using graphic results and objective indexes, and it is compared with existing denoising algorithms.

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