Literature DB >> 18163826

Functional optical signal analysis: a software tool for near-infrared spectroscopy data processing incorporating statistical parametric mapping.

Peck H Koh1, Daniel E Glaser, Guillaume Flandin, Stefan Kiebel, Brian Butterworth, Atsushi Maki, David T Delpy, Clare E Elwell.   

Abstract

Optical topography (OT) relies on the near infrared spectroscopy (NIRS) technique to provide noninvasively a spatial map of functional brain activity. OT has advantages over conventional fMRI in terms of its simple approach to measuring the hemodynamic response, its ability to distinguish between changes in oxy- and deoxy-hemoglobin and the range of human participants that can be readily investigated. We offer a new software tool, functional optical signal analysis (fOSA), for analyzing the spatially resolved optical signals that provides statistical inference capabilities about the distribution of brain activity in space and time and by experimental condition. It does this by mapping the signal into a standard functional neuroimaging analysis software, statistical parametric mapping (SPM), and forms, in effect, a new SPM toolbox specifically designed for NIRS in an OT configuration. The validity of the program has been tested using synthetic data, and its applicability is demonstrated with experimental data.

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Mesh:

Year:  2007        PMID: 18163826     DOI: 10.1117/1.2804092

Source DB:  PubMed          Journal:  J Biomed Opt        ISSN: 1083-3668            Impact factor:   3.170


  21 in total

1.  Tutorial on platform for optical topography analysis tools.

Authors:  Stephanie Sutoko; Hiroki Sato; Atsushi Maki; Masashi Kiguchi; Yukiko Hirabayashi; Hirokazu Atsumori; Akiko Obata; Tsukasa Funane; Takusige Katura
Journal:  Neurophotonics       Date:  2016-01-11       Impact factor: 3.593

2.  Optimizing the general linear model for functional near-infrared spectroscopy: an adaptive hemodynamic response function approach.

Authors:  Minako Uga; Ippeita Dan; Toshifumi Sano; Haruka Dan; Eiju Watanabe
Journal:  Neurophotonics       Date:  2014-08-05       Impact factor: 3.593

3.  Linear regression models and k-means clustering for statistical analysis of fNIRS data.

Authors:  Viola Bonomini; Lucia Zucchelli; Rebecca Re; Francesca Ieva; Lorenzo Spinelli; Davide Contini; Anna Paganoni; Alessandro Torricelli
Journal:  Biomed Opt Express       Date:  2015-01-28       Impact factor: 3.732

4.  Imperial College near infrared spectroscopy neuroimaging analysis framework.

Authors:  Felipe Orihuela-Espina; Daniel R Leff; David R C James; Ara W Darzi; Guang-Zhong Yang
Journal:  Neurophotonics       Date:  2017-09-19       Impact factor: 3.593

5.  The feasibility of real-time in vivo optical detection of blood-brain barrier disruption with indocyanine green.

Authors:  Aysegul Ergin; Mei Wang; Jane Y Zhang; Jeffrey N Bruce; Robert L Fine; Irving J Bigio; Shailendra Joshi
Journal:  J Neurooncol       Date:  2011-10-01       Impact factor: 4.130

Review 6.  Questioning the questions that have been asked about the infant brain using near-infrared spectroscopy.

Authors:  Richard N Aslin
Journal:  Cogn Neuropsychol       Date:  2012-02-13       Impact factor: 2.468

7.  Neuroimaging Assessment of Pain.

Authors:  Bo Gou; Xue-Qiang Wang; Jing Luo; Hui-Qi Zhu
Journal:  Neurotherapeutics       Date:  2022-07-28       Impact factor: 6.088

8.  The neonate brain detects speech structure.

Authors:  Judit Gervain; Francesco Macagno; Silvia Cogoi; Marcela Peña; Jacques Mehler
Journal:  Proc Natl Acad Sci U S A       Date:  2008-09-03       Impact factor: 11.205

9.  Statistical analysis of high density diffuse optical tomography.

Authors:  Mahlega S Hassanpour; Brian R White; Adam T Eggebrecht; Silvina L Ferradal; Abraham Z Snyder; Joseph P Culver
Journal:  Neuroimage       Date:  2013-06-02       Impact factor: 6.556

10.  Kalman estimator- and general linear model-based on-line brain activation mapping by near-infrared spectroscopy.

Authors:  Xiao-Su Hu; Keum-Shik Hong; Shuzhi S Ge; Myung-Yung Jeong
Journal:  Biomed Eng Online       Date:  2010-12-08       Impact factor: 2.819

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