Distinct Longitudinal Changes in EEG Measures Reflecting Functional Network Disruption in ALS Cognitive Phenotypes.
Cognitive-behavioural impairments
Functional connectivity
Motor neuron disease
Neurodegeneration
Source localisation
Spectral resting-state EEG
Journal
Brain topography
ISSN: 1573-6792
Titre abrégé: Brain Topogr
Pays: United States
ID NLM: 8903034
Informations de publication
Date de publication:
04 Oct 2024
04 Oct 2024
Historique:
received:
03
01
2024
accepted:
24
08
2024
medline:
5
10
2024
pubmed:
5
10
2024
entrez:
4
10
2024
Statut:
epublish
Résumé
Amyotrophic lateral sclerosis (ALS) is characterised primarily by motor system degeneration, with clinical evidence of cognitive and behavioural change in up to 50% of cases. We have shown previously that resting-state EEG captures dysfunction in motor and cognitive networks in ALS. However, the longitudinal development of these dysfunctional patterns, especially in networks linked with cognitive-behavioural functions, remains unclear. Longitudinal studies on non-motor changes in ALS are essential to further develop our understanding of disease progression, improve care and enhance the evaluation of new treatments. To address this gap, we examined 124 ALS individuals with 128-channel resting-state EEG recordings, categorised by cognitive impairment (ALSci, n = 25), behavioural impairment (ALSbi, n = 58), or non-impaired (ALSncbi, n = 53), with 12 participants meeting the criteria for both ALSci and ALSbi. Using linear mixed-effects models, we characterised the general and phenotype-specific longitudinal changes in brain network, and their association with cognitive performance, behaviour changes, fine motor symptoms, and survival. Our findings revealed a significant decline in [Formula: see text]-band spectral power over time in the temporal region along with increased [Formula: see text]-band power in the fronto-temporal region in the ALS group. ALSncbi participants showed widespread β-band synchrony decrease, while ALSci participants exhibited increased co-modulation correlated with verbal fluency decline. Longitudinal network-level changes were specific of ALS subgroups and correlated with motor, cognitive, and behavioural decline, as well as with survival. Spectral EEG measures can longitudinally track abnormal network patterns, serving as a candidate stratification tool for clinical trials and personalised treatments in ALS.
Identifiants
pubmed: 39367160
doi: 10.1007/s10548-024-01078-8
pii: 10.1007/s10548-024-01078-8
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
3Subventions
Organisme : ALS Association
ID : multi-year grant 20-IIA-546
Organisme : Irish/UK Motor Neurone Disease Research Foundation
ID : IceBucket Award; MRCG2018-02 to B.N., McManus/Apr22/888-791 to L.M. and McMackin/Oct20/972-799 to R.M
Organisme : Irish Research Council
ID : GOIPD/2015/213 to B.N. and GOIPG/2017/1014 to R.M.
Organisme : Science Foundation Ireland
ID : 16/ ERCD/3854 and Royal Society/SFI URF\R1\221917 to L.M.
Pays : Ireland
Organisme : Health Research Board of Ireland
ID : Emerging Investigator Award HRB-EIA-2017-019
Organisme : Health Research Board of Ireland
ID : HRA-POR-2013-246; MRCG-2018-02 and HRB ILP-POR-2022-046
Organisme : Deutsche Forschungsgemeinschaft
ID : Project-ID 424778381-TRR 295
Informations de copyright
© 2024. The Author(s).
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