Literature DB >> 15272686

Theoretical evaluation of accuracy in position and size of brain activity obtained by near-infrared topography.

Hiroshi Kawaguchi1, Toshiyuki Hayashi, Toshinori Kato, Eiji Okada.   

Abstract

Near-infrared (NIR) topography can obtain a topographical distribution of the activated region in the brain cortex. Near-infrared light is strongly scattered in the head, and the volume of tissue sampled by a source-detector pair on the head surface is broadly distributed in the brain. This scattering effect results in poor resolution and contrast in the topographic image of the brain activity. In this study, a one-dimensional distribution of absorption change in a head model is calculated by mapping and reconstruction methods to evaluate the effect of the image reconstruction algorithm and the interval of measurement points for topographic imaging on the accuracy of the topographic image. The light propagation in the head model is predicted by Monte Carlo simulation to obtain the spatial sensitivity profile for a source-detector pair. The measurement points are one-dimensionally arranged on the surface of the model, and the distance between adjacent measurement points is varied from 4 mm to 28 mm. Small intervals of the measurement points improve the topographic image calculated by both the mapping and reconstruction methods. In the conventional mapping method, the limit of the spatial resolution depends upon the interval of the measurement points and spatial sensitivity profile for source-detector pairs. The reconstruction method has advantages over the mapping method which improve the results of one-dimensional analysis when the interval of measurement points is less than 12 mm. The effect of overlapping of spatial sensitivity profiles indicates that the reconstruction method may be effective to improve the spatial resolution of a two-dimensional reconstruction of topographic image obtained with larger interval of measurement points. Near-infrared topography with the reconstruction method potentially obtains an accurate distribution of absorption change in the brain even if the size of absorption change is less than 10 mm.

Mesh:

Year:  2004        PMID: 15272686     DOI: 10.1088/0031-9155/49/12/019

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  6 in total

Review 1.  Optical brain imaging in vivo: techniques and applications from animal to man.

Authors:  Elizabeth M C Hillman
Journal:  J Biomed Opt       Date:  2007 Sep-Oct       Impact factor: 3.170

2.  Targeting brain regions of interest in functional near-infrared spectroscopy-Scalp-cortex correlation using subject-specific light propagation models.

Authors:  Lin Cai; Tomonori Nitta; Sho Yokota; Takayuki Obata; Eiji Okada; Hiroshi Kawaguchi
Journal:  Hum Brain Mapp       Date:  2021-02-23       Impact factor: 5.038

3.  Functional quantification of oral motor cortex at rest and during tasks using activity phase ratio: A zero-setting vector functional near-infrared spectroscopy study.

Authors:  Masaaki Arai; Hikaru Kato; Toshinori Kato
Journal:  Front Physiol       Date:  2022-09-23       Impact factor: 4.755

4.  Detectability of absorption and reduced scattering coefficients in frequency-domain measurements using a realistic head phantom.

Authors:  Xiaofeng Zhang; Andrew Webb
Journal:  Sensors (Basel)       Date:  2012-12-24       Impact factor: 3.576

5.  Depth sensitivity and source-detector separations for near infrared spectroscopy based on the Colin27 brain template.

Authors:  Gary E Strangman; Zhi Li; Quan Zhang
Journal:  PLoS One       Date:  2013-08-01       Impact factor: 3.240

6.  Neurofeedback-induced facilitation of the supplementary motor area affects postural stability.

Authors:  Hiroaki Fujimoto; Masahito Mihara; Noriaki Hattori; Megumi Hatakenaka; Hajime Yagura; Teiji Kawano; Ichiro Miyai; Hideki Mochizuki
Journal:  Neurophotonics       Date:  2017-11-10       Impact factor: 3.593

  6 in total

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