Literature DB >> 24916919

Neuroimaging and cognition using functional near infrared spectroscopy (fNIRS) in multiple sclerosis.

Jelena Stojanovic-Radic1, Glenn Wylie, Gerald Voelbel, Nancy Chiaravalloti, John DeLuca.   

Abstract

The present study utilized functional near infrared spectroscopy (fNIRS) to detect neural activation differences in the orbitofrontal brain region between individuals with multiple sclerosis (MS) and healthy controls (HCs) during a working memory (WM) task. Thirteen individuals with MS and 12 HCs underwent fNIRS recording while performing the n-back WM task with four levels of difficulty (0-, 1-, 2-, and 3-back). Subjects were fitted with the fNIRS cap consisting of 30 'optodes' positioned over the forehead. The results revealed different patterns of brain activation in MS and HCs. The MS group showed an increase in brain activation, as measured by the concentration of oxygenated hemoglobin (oxyHb), in the left superior frontal gyrus (LSFG) at lower task difficulty levels (i.e. 1-back), followed by a decrease at higher task difficulty (2- and 3-back) as compared with the HC group. HC group achieved higher accuracy than the MS group on the lower task loads (i.e. 0- and 1-back), however there were no performance differences between the groups at the higher task loads (i.e. 2- and 3-back). Taken together, the results suggest that individuals with MS experience a task with the lower cognitive load as more difficult than the HC group, and the brain activation patterns observed during the task confirm some of the previous findings from functional magnetic resonance imaging (fMRI) studies. This study is the first to investigate brain activation by utilizing the method of fNIRS in MS during the performance of a cognitive task.

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Year:  2015        PMID: 24916919     DOI: 10.1007/s11682-014-9307-y

Source DB:  PubMed          Journal:  Brain Imaging Behav        ISSN: 1931-7557            Impact factor:   3.978


  2 in total

1.  Functional near-infrared spectroscopy as a potential objective evaluation technique in neurocognitive disorders after traumatic brain injury.

Authors:  Fan Chang; Haozhe Li; Ningning Li; Shengyu Zhang; Chao Liu; Qinting Zhang; Weixiong Cai
Journal:  Front Psychiatry       Date:  2022-07-22       Impact factor: 5.435

2.  The use of functional near infrared spectroscopy and gait analysis to characterize cognitive and motor processing in early-stage patients with multiple sclerosis.

Authors:  Maria Adelia de Aratanha; Joana Bisol Balardin; Carolina Cardoso do Amaral; Shirley S Lacerda; Tiago Abrão Setrak Sowmy; Theodore J Huppert; Rodrigo Barbosa Thomaz; Danielli S Speciali; Birajara Machado; Elisa Harumi Kozasa
Journal:  Front Neurol       Date:  2022-08-29       Impact factor: 4.086

  2 in total

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