Literature DB >> 33964609

Cognitive network hyperactivation and motor cortex decline correlate with ALS prognosis.

Roisin McMackin1, Stefan Dukic1, Emmet Costello1, Marta Pinto-Grau2, Lara McManus1, Michael Broderick3, Rangariroyashe Chipika4, Parameswaran M Iyer5, Mark Heverin1, Peter Bede4, Muthuraman Muthuraman6, Niall Pender7, Orla Hardiman8, Bahman Nasseroleslami1.   

Abstract

We aimed to quantitatively characterize progressive brain network disruption in Amyotrophic Lateral Sclerosis (ALS) during cognition using the mismatch negativity (MMN), an electrophysiological index of attention switching. We measured the MMN using 128-channel EEG longitudinally (2-5 timepoints) in 60 ALS patients and cross-sectionally in 62 healthy controls. Using dipole fitting and linearly constrained minimum variance beamforming we investigated cortical source activity changes over time. In ALS, the inferior frontal gyri (IFG) show significantly lower baseline activity compared to controls. The right IFG and both superior temporal gyri (STG) become progressively hyperactive longitudinally. By contrast, the left motor and dorsolateral prefrontal cortices are initially hyperactive, declining progressively. Baseline motor hyperactivity correlates with cognitive disinhibition, and lower baseline IFG activities correlate with motor decline rate, while left dorsolateral prefrontal activity predicted cognitive and behavioural impairment. Shorter survival correlates with reduced baseline IFG and STG activity and later STG hyperactivation. Source-resolved EEG facilitates quantitative characterization of symptom-associated and symptom-preceding motor and cognitive-behavioral cortical network decline in ALS.
Copyright © 2021 The Authors. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Amyotrophic lateral sclerosis; Cognition; Electroencephalography; Hyperexcitability; Longitudinal; Network

Mesh:

Year:  2021        PMID: 33964609     DOI: 10.1016/j.neurobiolaging.2021.03.002

Source DB:  PubMed          Journal:  Neurobiol Aging        ISSN: 0197-4580            Impact factor:   4.673


  2 in total

Review 1.  Emerging insights into the complex genetics and pathophysiology of amyotrophic lateral sclerosis.

Authors:  Stephen A Goutman; Orla Hardiman; Ammar Al-Chalabi; Adriano Chió; Masha G Savelieff; Matthew C Kiernan; Eva L Feldman
Journal:  Lancet Neurol       Date:  2022-03-22       Impact factor: 59.935

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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