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The NIRS Brain AnalyzIR Toolbox

Santosa, Hendrik and Zhai, Xuetong and Fishburn, Frank and Huppert, Theodore (2018) The NIRS Brain AnalyzIR Toolbox. Algorithms, 11 (5). p. 73. ISSN 1999-4893

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Abstract

Functional near-infrared spectroscopy (fNIRS) is a noninvasive neuroimaging technique that uses low-levels of light (650–900 nm) to measure changes in cerebral blood volume and oxygenation. Over the last several decades, this technique has been utilized in a growing number of functional and resting-state brain studies. The lower operation cost, portability, and versatility of this method make it an alternative to methods such as functional magnetic resonance imaging for studies in pediatric and special populations and for studies without the confining limitations of a supine and motionless acquisition setup. However, the analysis of fNIRS data poses several challenges stemming from the unique physics of the technique, the unique statistical properties of data, and the growing diversity of non-traditional experimental designs being utilized in studies due to the flexibility of this technology. For these reasons, specific analysis methods for this technology must be developed. In this paper, we introduce the NIRS Brain AnalyzIR toolbox as an open-source Matlab-based analysis package for fNIRS data management, pre-processing, and first- and second-level (i.e., single subject and group-level) statistical analysis. Here, we describe the basic architectural format of this toolbox, which is based on the object-oriented programming paradigm. We also detail the algorithms for several of the major components of the toolbox including statistical analysis, probe registration, image reconstruction, and region-of-interest based statistics.


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Details

Item Type: Article
Status: Published
Creators/Authors:
CreatorsEmailPitt UsernameORCID
Santosa, Hendrikhendrik.santosa@pitt.edu
Zhai, Xuetongxuz19@pitt.eduxuz19
Fishburn, Frankfishburnf@upmc.edu
Huppert, Theodorehuppert1@pitt.eduhuppert1
Date: 16 May 2018
Date Type: Publication
Journal or Publication Title: Algorithms
Volume: 11
Number: 5
Publisher: MDPI AG
Page Range: p. 73
DOI or Unique Handle: 10.3390/a11050073
Schools and Programs: School of Medicine > Radiology
Refereed: Yes
Uncontrolled Keywords: Functional near-infrared spectroscopy, toolbox, statistical analysis
ISSN: 1999-4893
Official URL: http://dx.doi.org/10.3390/a11050073
Funders: National Institutes of Health
Article Type: Research Article
Date Deposited: 14 May 2021 19:41
Last Modified: 14 May 2021 19:41
URI: http://d-scholarship.pitt.edu/id/eprint/41086

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