2021
DOI: 10.1371/journal.pone.0255324
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Multiple sclerosis reduces synchrony of the magnocellular pathway

Abstract: Multiple Sclerosis (MS) is an autoimmune demyelinating disease that damages the insulation of nerve cell fibers in the brain and spinal cord. In the visual system, this demyelination results in a robust delay of visually evoked potentials (VEPs), even in the absence of overt clinical symptoms such as blurred vision. VEPs, therefore, offer an avenue for early diagnosis, monitoring disease progression, and, potentially, insight into the differential impairment of specific pathways. A primary hypothesis has been … Show more

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Cited by 7 publications
(4 citation statements)
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“…A 32-channel eWave32 amplifier was used for EEG signal recording which followed the International 10–20 System of electrode placement on the scalp. The amplifier, made by ScienceBeam 1 , has a sampling rate of 1k samples/second, allowing us to precisely study the temporal dynamics of information processing in the brain (with a referential montage, where the reference electrode was placed in the FCz position; Raeisi et al, 2020 ; Seraji et al, 2021 ; Seraji, 2021 ). We applied standard pre-processing procedures in EEGLAB (available at https://sccn.ucsd.edu/eeglab/ version 2021) to reduce noise and artifacts from the EEG signals (Ebrahimzadeh et al, 2021b ).…”
Section: Methodsmentioning
confidence: 99%
“…A 32-channel eWave32 amplifier was used for EEG signal recording which followed the International 10–20 System of electrode placement on the scalp. The amplifier, made by ScienceBeam 1 , has a sampling rate of 1k samples/second, allowing us to precisely study the temporal dynamics of information processing in the brain (with a referential montage, where the reference electrode was placed in the FCz position; Raeisi et al, 2020 ; Seraji et al, 2021 ; Seraji, 2021 ). We applied standard pre-processing procedures in EEGLAB (available at https://sccn.ucsd.edu/eeglab/ version 2021) to reduce noise and artifacts from the EEG signals (Ebrahimzadeh et al, 2021b ).…”
Section: Methodsmentioning
confidence: 99%
“…PSD is the most common method for analysing EEG data and provides absolute power spectra of EEG in the frequency range of 0.5-70 Hz. Frequencydependent PSD values facilitate a better understanding of impacts of external stimuli, cognitive decline, and certain brain disorders in the human brain [41][42][43][44][45][46]. Multi-channel EEG requires a multivariate statistical analysis for spatial identification where significant alterations of EEG signals occur.…”
Section: Introductionmentioning
confidence: 99%
“…In a variety of physiological conditions and disorders including Alzheimer’s diseases (AD) ( Briels et al, 2020 ), Multiple Sclerosis (MS) ( Seraji et al, 2021 ), epilepsy ( Amoozegar et al, 2013 ; Gholipour et al, 2022 ), and depression ( Peng et al, 2019 ), EEG has been used to evaluate brain functional connectivity.…”
Section: Primary Conceptsmentioning
confidence: 99%