Literature DB >> 28948193

Imperial College near infrared spectroscopy neuroimaging analysis framework.

Felipe Orihuela-Espina1,2, Daniel R Leff1, David R C James1, Ara W Darzi1, Guang-Zhong Yang1.   

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.

Keywords:  functional near infrared spectroscopy; near infrared spectroscopy; neuroimaging; software

Year:  2017        PMID: 28948193      PMCID: PMC5603769          DOI: 10.1117/1.NPh.5.1.011011

Source DB:  PubMed          Journal:  Neurophotonics        ISSN: 2329-423X            Impact factor:   3.593


  34 in total

Review 1.  Quality control and assurance in functional near infrared spectroscopy (fNIRS) experimentation.

Authors:  F Orihuela-Espina; D R Leff; D R C James; A W Darzi; G Z Yang
Journal:  Phys Med Biol       Date:  2010-06-09       Impact factor: 3.609

2.  Functional near infrared spectroscopy in novice and expert surgeons--a manifold embedding approach.

Authors:  Daniel Richard Leff; Felipe Orihuela-Espina; Louis Atallah; Ara Darzi; Guang-Zhong Yang
Journal:  Med Image Comput Comput Assist Interv       Date:  2007

Review 3.  Statistical analysis of fNIRS data: a comprehensive review.

Authors:  Sungho Tak; Jong Chul Ye
Journal:  Neuroimage       Date:  2013-06-15       Impact factor: 6.556

4.  NIRS-SPM: statistical parametric mapping for near-infrared spectroscopy.

Authors:  Jong Chul Ye; Sungho Tak; Kwang Eun Jang; Jinwook Jung; Jaeduck Jang
Journal:  Neuroimage       Date:  2008-09-12       Impact factor: 6.556

5.  Spatial and temporal analysis of human motor activity using noninvasive NIR topography.

Authors:  A Maki; Y Yamashita; Y Ito; E Watanabe; Y Mayanagi; H Koizumi
Journal:  Med Phys       Date:  1995-12       Impact factor: 4.071

Review 6.  Assessment of the cerebral cortex during motor task behaviours in adults: a systematic review of functional near infrared spectroscopy (fNIRS) studies.

Authors:  Daniel Richard Leff; Felipe Orihuela-Espina; Clare E Elwell; Thanos Athanasiou; David T Delpy; Ara W Darzi; Guang-Zhong Yang
Journal:  Neuroimage       Date:  2010-10-26       Impact factor: 6.556

Review 7.  A review on continuous wave functional near-infrared spectroscopy and imaging instrumentation and methodology.

Authors:  Felix Scholkmann; Stefan Kleiser; Andreas Jaakko Metz; Raphael Zimmermann; Juan Mata Pavia; Ursula Wolf; Martin Wolf
Journal:  Neuroimage       Date:  2013-05-16       Impact factor: 6.556

8.  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

Review 9.  HomER: a review of time-series analysis methods for near-infrared spectroscopy of the brain.

Authors:  Theodore J Huppert; Solomon G Diamond; Maria A Franceschini; David A Boas
Journal:  Appl Opt       Date:  2009-04-01       Impact factor: 1.980

10.  Dynamic causal modelling for functional near-infrared spectroscopy.

Authors:  S Tak; A M Kempny; K J Friston; A P Leff; W D Penny
Journal:  Neuroimage       Date:  2015-02-25       Impact factor: 6.556

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  4 in total

1.  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

2.  Interpolated functional manifold for functional near-infrared spectroscopy analysis at group level.

Authors:  Shender-María Ávila-Sansores; Gustavo Rodríguez-Gómez; Ilias Tachtsidis; Felipe Orihuela-Espina
Journal:  Neurophotonics       Date:  2020-11-27       Impact factor: 3.593

Review 3.  Use of neuroimaging to measure neurocognitive engagement in health professions education: a scoping review.

Authors:  Serkan Toy; Dana D Huh; Joshua Materi; Julie Nanavati; Deborah A Schwengel
Journal:  Med Educ Online       Date:  2022-12

4.  Robotic Surgery Improves Technical Performance and Enhances Prefrontal Activation During High Temporal Demand.

Authors:  Harsimrat Singh; Hemel N Modi; Samriddha Ranjan; James W R Dilley; Dimitrios Airantzis; Guang-Zhong Yang; Ara Darzi; Daniel R Leff
Journal:  Ann Biomed Eng       Date:  2018-06-04       Impact factor: 3.934

  4 in total

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