Literature DB >> 33055020

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

Roohollah Jafari Deligani, Sarah Ismail Hosni, Seyyed Bahram Borgheai, John McLinden, Alyssa Hillary Zisk, Kunal Mankodiya, Yalda Shahriari.   

Abstract

OBJECTIVE: Amyotrophic lateral sclerosis (ALS) is a complex neurodegenerative disease that causes the progressive loss of voluntary muscle control. Recent studies have reported conflicting results on alterations in resting-state functional brain networks in ALS by adopting unimodal techniques that measure either electrophysiological or vascular-hemodynamic neural functions. However, no study to date has explored simultaneous electrical and vascular-hemodynamic changes in the resting-state brain in ALS. Using complementary multimodal electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) recording and analysis techniques, we explored the underlying multidimensional neural contributions to altered oscillations and functional connectivity in people with ALS.
METHODS: 10 ALS patients and 9 age-matched controls underwent multimodal EEG-fNIRS recording in the resting state. Resting-state functional connectivity (RSFC) and power spectra of both modalities in both groups were analyzed and compared statistically.
RESULTS: Increased fronto-parietal EEG connectivity in the alpha and beta bands and increased interhemispheric and right intra-hemispheric fNIRS connectivity in the frontal and prefrontal regions were observed in ALS. Frontal, central, and temporal theta and alpha EEG power decreased in ALS, as did parietal and occipital alpha EEG power, while frontal and parietal hemodynamic spectral power increased in ALS. SIGNIFICANCE: These results suggest that electro-vascular disruption in neuronal networks extends to the extra-motor regions in ALS patients, which can ultimately introduce novel neural markers of ALS that can be exploited further as diagnostic and prognostic tools.

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Year:  2021        PMID: 33055020      PMCID: PMC7952040          DOI: 10.1109/TNSRE.2020.3031495

Source DB:  PubMed          Journal:  IEEE Trans Neural Syst Rehabil Eng        ISSN: 1534-4320            Impact factor:   3.802


  43 in total

1.  Identifying true brain interaction from EEG data using the imaginary part of coherency.

Authors:  Guido Nolte; Ou Bai; Lewis Wheaton; Zoltan Mari; Sherry Vorbach; Mark Hallett
Journal:  Clin Neurophysiol       Date:  2004-10       Impact factor: 3.708

2.  Non-invasive continuous EEG-fNIRS recording of temporal lobe seizures.

Authors:  Dang Khoa Nguyen; Julie Tremblay; Philippe Pouliot; Phetsamone Vannasing; Olivia Florea; Lionel Carmant; Franco Lepore; Mohamad Sawan; Frédéric Lesage; Maryse Lassonde
Journal:  Epilepsy Res       Date:  2011-11-17       Impact factor: 3.045

3.  Detection of eye blink artifacts from single prefrontal channel electroencephalogram.

Authors:  Won-Du Chang; Ho-Seung Cha; Kiwoong Kim; Chang-Hwan Im
Journal:  Comput Methods Programs Biomed       Date:  2015-10-26       Impact factor: 5.428

4.  The modified Beer-Lambert law revisited.

Authors:  L Kocsis; P Herman; A Eke
Journal:  Phys Med Biol       Date:  2006-02-15       Impact factor: 3.609

5.  Changes of resting state brain networks in amyotrophic lateral sclerosis.

Authors:  Bahram Mohammadi; Katja Kollewe; Amir Samii; Klaus Krampfl; Reinhard Dengler; Thomas F Münte
Journal:  Exp Neurol       Date:  2009-02-12       Impact factor: 5.330

6.  Mental stress assessment using simultaneous measurement of EEG and fNIRS.

Authors:  Fares Al-Shargie; Masashi Kiguchi; Nasreen Badruddin; Sarat C Dass; Ahmad Fadzil Mohammad Hani; Tong Boon Tang
Journal:  Biomed Opt Express       Date:  2016-09-06       Impact factor: 3.732

7.  Interaction between aging and neurodegeneration in amyotrophic lateral sclerosis.

Authors:  Gioacchino Tedeschi; Francesca Trojsi; Alessandro Tessitore; Daniele Corbo; Anna Sagnelli; Antonella Paccone; Alessandro D'Ambrosio; Giovanni Piccirillo; Mario Cirillo; Sossio Cirillo; Maria Rosaria Monsurrò; Fabrizio Esposito
Journal:  Neurobiol Aging       Date:  2010-08-23       Impact factor: 4.673

Review 8.  Inhibitory dysfunction in amyotrophic lateral sclerosis: future therapeutic opportunities.

Authors:  Rosemary Clark; Catherine Blizzard; Tracey Dickson
Journal:  Neurodegener Dis Manag       Date:  2015-11-30

9.  Functional Connectivity Changes in Resting-State EEG as Potential Biomarker for Amyotrophic Lateral Sclerosis.

Authors:  Parameswaran Mahadeva Iyer; Catriona Egan; Marta Pinto-Grau; Tom Burke; Marwa Elamin; Bahman Nasseroleslami; Niall Pender; Edmund C Lalor; Orla Hardiman
Journal:  PLoS One       Date:  2015-06-19       Impact factor: 3.240

10.  Patterned functional network disruption in amyotrophic lateral sclerosis.

Authors:  Stefan Dukic; Roisin McMackin; Teresa Buxo; Antonio Fasano; Rangariroyashe Chipika; Marta Pinto-Grau; Emmet Costello; Christina Schuster; Michaela Hammond; Mark Heverin; Amina Coffey; Michael Broderick; Parameswaran M Iyer; Kieran Mohr; Brighid Gavin; Niall Pender; Peter Bede; Muthuraman Muthuraman; Edmund C Lalor; Orla Hardiman; Bahman Nasseroleslami
Journal:  Hum Brain Mapp       Date:  2019-07-26       Impact factor: 5.038

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  2 in total

Review 1.  Brain Connectivity and Network Analysis in Amyotrophic Lateral Sclerosis.

Authors:  Vijay Renga
Journal:  Neurol Res Int       Date:  2022-02-07

2.  Resting-state EEG reveals four subphenotypes of amyotrophic lateral sclerosis.

Authors:  Stefan Dukic; Roisin McMackin; Emmet Costello; Marjorie Metzger; Teresa Buxo; Antonio Fasano; Rangariroyashe Chipika; Marta Pinto-Grau; Christina Schuster; Michaela Hammond; Mark Heverin; Amina Coffey; Michael Broderick; Parameswaran M Iyer; Kieran Mohr; Brighid Gavin; Russell McLaughlin; Niall Pender; Peter Bede; Muthuraman Muthuraman; Leonard H van den Berg; Orla Hardiman; Bahman Nasseroleslami
Journal:  Brain       Date:  2022-04-18       Impact factor: 15.255

  2 in total

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