학술논문

Neurophysiological trajectories in Alzheimer’s disease progression
Document Type
article
Source
Subject
Biochemistry and Cell Biology
Biological Sciences
Neurosciences
Brain Disorders
Acquired Cognitive Impairment
Alzheimer's Disease
Aging
Neurodegenerative
Dementia
Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD)
Behavioral and Social Science
Aetiology
2.1 Biological and endogenous factors
Neurological
Humans
Alzheimer Disease
Amyloid beta-Peptides
tau Proteins
Benchmarking
Brain
Alzheimer's disease
magnetoencephalography
biomarkers
electrophysiology
functional connectivity
Human
human
neuroscience
Biological sciences
Biomedical and clinical sciences
Health sciences
Language
Abstract
Alzheimer's disease (AD) is characterized by the accumulation of amyloid-β and misfolded tau proteins causing synaptic dysfunction, and progressive neurodegeneration and cognitive decline. Altered neural oscillations have been consistently demonstrated in AD. However, the trajectories of abnormal neural oscillations in AD progression and their relationship to neurodegeneration and cognitive decline are unknown. Here, we deployed robust event-based sequencing models (EBMs) to investigate the trajectories of long-range and local neural synchrony across AD stages, estimated from resting-state magnetoencephalography. The increases in neural synchrony in the delta-theta band and the decreases in the alpha and beta bands showed progressive changes throughout the stages of the EBM. Decreases in alpha and beta band synchrony preceded both neurodegeneration and cognitive decline, indicating that frequency-specific neuronal synchrony abnormalities are early manifestations of AD pathophysiology. The long-range synchrony effects were greater than the local synchrony, indicating a greater sensitivity of connectivity metrics involving multiple regions of the brain. These results demonstrate the evolution of functional neuronal deficits along the sequence of AD progression.