ArticleJournal of neurology2026
Frequency-Specific EEG burst dynamics in Parkinson's Disease and freezing of gait.
Article in Journal of neurology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
backgroundParkinson's disease (PD) disrupts motor networks, but conventional EEG spectral analyses may miss the transient, burst-like structure of pathological oscillations. Freezing of gait (FOG) is a disabling and poorly understood gait disturbance that may involve altered cognitive-motor control. This study aims to determine whether resting-state electroencephalography burst dynamics provide frequency-specific markers of PD and FOG.
methodsResting-state EEG was analyzed from 237 participants across three study sites, including 88 healthy controls and 149 individuals with PD assessed in the clinically defined ON-medication state. Participants with PD were also classified as having FOG (PDFOG +) or not having FOG (PDFOG -). Analyses were harmonized across sites using 11 common EEG channels. Burst dynamics were quantified in theta, alpha, low-beta, and high-beta bands using amplitude-envelope thresholding. Primary analyses focused on low- and high-beta burst dynamics at mid-frontal lead for healthy controls vs PD comparisons, and theta, low-beta, and high-beta burst dynamics for healthy control, PDFOG-, and PDFOG+ comparisons. FOG severity associations were examined using a study site-standardized FOGQ z-scores.
resultsPeople with PD showed altered low-beta burst timing, characterized by more frequent, but shorter low-beta bursts compared with healthy controls. These effects were evident at the mid-frontal region and supported by exploratory topographic maps. In three-group analyses, low-beta burst rate and duration differed across groups, but adjusted PD-only models did not support robust PDFOG+ vs PDFOG- differences. In contrast, FOG severity was most consistently associated with theta amplitude-related burst metrics.
conclusionsResting-state EEG burst dynamics reveal dissociable oscillatory signatures in PD. Low-beta burst timing abnormalities reflect general PD-related motor network dysfunction, whereas theta burst amplitude may relate to FOG severity and cognitive-motor network burden.
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