Characteristic Increases in EEG Connectivity Correlate With Changes of Structural MRI in Amyotrophic Lateral Sclerosis.
Adult
Aged
Aged, 80 and over
Amyotrophic Lateral Sclerosis
/ diagnostic imaging
Cerebral Cortex
/ diagnostic imaging
Cohort Studies
Electroencephalography
/ methods
Female
Humans
Longitudinal Studies
Magnetic Resonance Imaging
/ methods
Male
Middle Aged
Nerve Net
/ diagnostic imaging
Pyramidal Tracts
/ diagnostic imaging
Journal
Cerebral cortex (New York, N.Y. : 1991)
ISSN: 1460-2199
Titre abrégé: Cereb Cortex
Pays: United States
ID NLM: 9110718
Informations de publication
Date de publication:
01 01 2019
01 01 2019
Historique:
received:
22
07
2017
pubmed:
15
11
2017
medline:
4
3
2020
entrez:
15
11
2017
Statut:
ppublish
Résumé
Amyotrophic lateral sclerosis (ALS) is a terminal progressive adult-onset neurodegeneration of the motor system. Although originally considered a pure motor degeneration, there is increasing evidence of disease heterogeneity with varying degrees of extra-motor involvement. How the combined motor and nonmotor degeneration occurs in the context of broader disruption in neural communication across brain networks has not been well characterized. Here, we have performed high-density crossectional and longitudinal resting-state electroencephalography (EEG) recordings on 100 ALS patients and 34 matched controls, and have identified characteristic patterns of altered EEG connectivity that have persisted in longitudinal analyses. These include strongly increased EEG coherence between parietal-frontal scalp regions (in γ-band) and between bilateral regions over motor areas (in θ-band). Correlation with structural MRI from the same patients shows that disease-specific structural degeneration in motor areas and corticospinal tracts parallels a decrease in neural activity over scalp motor areas, while the EEG over the scalp regions associated with less extensively involved extra-motor regions on MRI exhibit significantly increased neural communication. Our findings demonstrate that EEG-based connectivity mapping can provide novel insights into progressive network decline in ALS. These data pave the way for development of validated cost-effective spectral EEG-based biomarkers that parallel changes in structural imaging.
Identifiants
pubmed: 29136131
pii: 4608063
doi: 10.1093/cercor/bhx301
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
27-41Subventions
Organisme : Motor Neurone Disease Association
ID : MCLAUGHLIN/OCT15/957-799
Pays : United Kingdom