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Sensitivity of fNIRS to cognitive state and load

Functional near-infrared spectroscopy (fNIRS) is an emerging low-cost noninvasive neuroimaging technique that measures cortical bloodflow. While fNIRS has gained interest as a potential alternative to fMRI for use with clinical and pediatric populations, it remains unclear whether fNIRS has the nece...

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Autores principales: Fishburn, Frank A., Norr, Megan E., Medvedev, Andrei V., Vaidya, Chandan J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3930096/
https://www.ncbi.nlm.nih.gov/pubmed/24600374
http://dx.doi.org/10.3389/fnhum.2014.00076
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author Fishburn, Frank A.
Norr, Megan E.
Medvedev, Andrei V.
Vaidya, Chandan J.
author_facet Fishburn, Frank A.
Norr, Megan E.
Medvedev, Andrei V.
Vaidya, Chandan J.
author_sort Fishburn, Frank A.
collection PubMed
description Functional near-infrared spectroscopy (fNIRS) is an emerging low-cost noninvasive neuroimaging technique that measures cortical bloodflow. While fNIRS has gained interest as a potential alternative to fMRI for use with clinical and pediatric populations, it remains unclear whether fNIRS has the necessary sensitivity to serve as a replacement for fMRI. The present study set out to examine whether fNIRS has the sensitivity to detect linear changes in activation and functional connectivity in response to cognitive load, and functional connectivity changes when transitioning from a task-free resting state to a task. Sixteen young adult subjects were scanned with a continuous-wave fNIRS system during a 10-min resting-state scan followed by a letter n-back task with three load conditions. Five optical probes were placed over frontal and parietal cortices, covering bilateral dorsolateral PFC (dlPFC), bilateral ventrolateral PFC (vlPFC), frontopolar cortex (FP), and bilateral parietal cortex. Activation was found to scale linearly with working memory load in bilateral prefrontal cortex. Functional connectivity increased with increasing n-back loads for fronto-parietal, interhemispheric dlPFC, and local connections. Functional connectivity differed between the resting state scan and the n-back scan, with fronto-parietal connectivity greater during the n-back, and interhemispheric vlPFC connectivity greater during rest. These results demonstrate that fNIRS is sensitive to both cognitive load and state, suggesting that fNIRS is well-suited to explore the full complement of neuroimaging research questions and will serve as a viable alternative to fMRI.
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spelling pubmed-39300962014-03-05 Sensitivity of fNIRS to cognitive state and load Fishburn, Frank A. Norr, Megan E. Medvedev, Andrei V. Vaidya, Chandan J. Front Hum Neurosci Neuroscience Functional near-infrared spectroscopy (fNIRS) is an emerging low-cost noninvasive neuroimaging technique that measures cortical bloodflow. While fNIRS has gained interest as a potential alternative to fMRI for use with clinical and pediatric populations, it remains unclear whether fNIRS has the necessary sensitivity to serve as a replacement for fMRI. The present study set out to examine whether fNIRS has the sensitivity to detect linear changes in activation and functional connectivity in response to cognitive load, and functional connectivity changes when transitioning from a task-free resting state to a task. Sixteen young adult subjects were scanned with a continuous-wave fNIRS system during a 10-min resting-state scan followed by a letter n-back task with three load conditions. Five optical probes were placed over frontal and parietal cortices, covering bilateral dorsolateral PFC (dlPFC), bilateral ventrolateral PFC (vlPFC), frontopolar cortex (FP), and bilateral parietal cortex. Activation was found to scale linearly with working memory load in bilateral prefrontal cortex. Functional connectivity increased with increasing n-back loads for fronto-parietal, interhemispheric dlPFC, and local connections. Functional connectivity differed between the resting state scan and the n-back scan, with fronto-parietal connectivity greater during the n-back, and interhemispheric vlPFC connectivity greater during rest. These results demonstrate that fNIRS is sensitive to both cognitive load and state, suggesting that fNIRS is well-suited to explore the full complement of neuroimaging research questions and will serve as a viable alternative to fMRI. Frontiers Media S.A. 2014-02-20 /pmc/articles/PMC3930096/ /pubmed/24600374 http://dx.doi.org/10.3389/fnhum.2014.00076 Text en Copyright © 2014 Fishburn, Norr, Medvedev and Vaidya. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neuroscience
Fishburn, Frank A.
Norr, Megan E.
Medvedev, Andrei V.
Vaidya, Chandan J.
Sensitivity of fNIRS to cognitive state and load
title Sensitivity of fNIRS to cognitive state and load
title_full Sensitivity of fNIRS to cognitive state and load
title_fullStr Sensitivity of fNIRS to cognitive state and load
title_full_unstemmed Sensitivity of fNIRS to cognitive state and load
title_short Sensitivity of fNIRS to cognitive state and load
title_sort sensitivity of fnirs to cognitive state and load
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3930096/
https://www.ncbi.nlm.nih.gov/pubmed/24600374
http://dx.doi.org/10.3389/fnhum.2014.00076
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