Imperial College near infrared spectroscopy neuroimaging analysis framework.
File(s)
Published version
Author(s)
Orihuela-Espina, F
Leff, DR
James, DRC
Darzi, AW
Yang, G-Z
Type
Journal Article
Abstract
This paper describes the Imperial College near infrared spectroscopy neuroimaging analysis (ICNNA) software tool for functional near infrared spectroscopy neuroimaging data. ICNNA is a MATLAB-based object-oriented framework encompassing an application programming interface and a graphical user interface. ICNNA incorporates reconstruction based on the modified Beer-Lambert law and basic processing and data validation capabilities. Emphasis is placed on the full experiment rather than individual neuroimages as the central element of analysis. The software offers three types of analyses including classical statistical methods based on comparison of changes in relative concentrations of hemoglobin between the task and baseline periods, graph theory-based metrics of connectivity and, distinctively, an analysis approach based on manifold embedding. This paper presents the different capabilities of ICNNA in its current version.
Date Issued
2017-09-19
Date Acceptance
2017-08-23
Citation
Neurophotonics, 2017, 5 (1)
ISSN
2329-4248
Publisher
Society of Photo-optical Instrumentation Engineers
Journal / Book Title
Neurophotonics
Volume
5
Issue
1
Copyright Statement
© 2017 Society of Photo-Optical Instrumentation
Engineers (SPIE)
Engineers (SPIE)
Sponsor
Consejo Nacional de Ciencia y Tecnología (CONACYT) de México
Identifier
PII: 17072SSRR
Grant Number
237251
Subjects
functional near infrared spectroscopy
near infrared spectroscopy
neuroimaging
software
Publication Status
Published
Article Number
011011