Literature DB >> 31530755

Multimodal exploration of non-motor neural functions in ALS patients using simultaneous EEG-fNIRS recording.

S B Borgheai1, R J Deligani, J McLinden, A Zisk, S I Hosni, M Abtahi, K Mankodiya, Y Shahriari.   

Abstract

OBJECTIVE: Despite the high prevalence of non-motor impairments reported in patients with amyotrophic lateral sclerosis (ALS), little is known about the functional neural markers underlying such dysfunctions. In this study, a new dual-task multimodal framework relying on simultaneous electroencephalogram (EEG) and functional near-infrared spectroscopy (fNIRS) recordings was developed to characterize integrative non-motor neural functions in people with ALS. APPROACH: Simultaneous EEG-fNIRS data were recorded from six subjects with ALS and twelve healthy controls. Through a proposed visuo-mental paradigm, subjects performed a set of visuo-mental arithmetic operations. The data recorded were analyzed with respect to event-related changes both in the time and frequency domains for EEG and de/oxygen-hemoglobin level (HbR/HbO) changes for fNIRS. The correlation of EEG spectral features with fNIRS HbO/HbR features were then evaluated to assess the mechanisms of ALS on the electrical (EEG)-vascular (fNIRS) interrelationships. MAIN
RESULTS: We observed overall smaller increases in EEG delta and theta power, decreases in beta power, reductions in HbO responses, and distortions both in early and later EEG event-related potentials in ALS subjects compared to healthy controls. While significant correlations between EEG features and HbO responses were observed in healthy controls, these patterns were absent in ALS patients. Distortions in both electrical and hemodynamic responses are speculated to be associated with cognitive deficits in ALS that center primarily on attentional and working memory processing. SIGNIFICANCE: Our results highlight the important role of ALS non-motor dysfunctions in electrical and hemodynamic neural dynamics as well as their interrelationships. The insights obtained through this study can enhance our understanding of the underlying non-motor neural processes in ALS and enrich future diagnostic and prognostic techniques.

Entities:  

Year:  2019        PMID: 31530755     DOI: 10.1088/1741-2552/ab456c

Source DB:  PubMed          Journal:  J Neural Eng        ISSN: 1741-2552            Impact factor:   5.379


  4 in total

1.  Multimodal fusion of EEG-fNIRS: a mutual information-based hybrid classification framework.

Authors:  Roohollah Jafari Deligani; Seyyed Bahram Borgheai; John McLinden; Yalda Shahriari
Journal:  Biomed Opt Express       Date:  2021-02-26       Impact factor: 3.732

2.  Enhancing Communication for People in Late-Stage ALS Using an fNIRS-Based BCI System.

Authors:  Seyyed Bahram Borgheai; John McLinden; Alyssa Hillary Zisk; Sarah Ismail Hosni; Roohollah Jafari Deligani; Mohammadreza Abtahi; Kunal Mankodiya; Yalda Shahriari
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2020-03-13       Impact factor: 3.802

Review 3.  Concurrent fNIRS and EEG for Brain Function Investigation: A Systematic, Methodology-Focused Review.

Authors:  Rihui Li; Dalin Yang; Feng Fang; Keum-Shik Hong; Allan L Reiss; Yingchun Zhang
Journal:  Sensors (Basel)       Date:  2022-08-05       Impact factor: 3.847

4.  Electrical and Hemodynamic Neural Functions in People With ALS: An EEG-fNIRS Resting-State Study.

Authors:  Roohollah Jafari Deligani; Sarah Ismail Hosni; Seyyed Bahram Borgheai; John McLinden; Alyssa Hillary Zisk; Kunal Mankodiya; Yalda Shahriari
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2021-01-28       Impact factor: 3.802

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.