A Synoptic Review of High-Frequency Oscillations as a Biomarker in Neurodegenerative Disease
Samin Yaser, Mahad Ali, Yang Jiang, Phuc Nguyen, Jing Xiang, and Laura J. Brattain

TL;DR
This review analyzes the potential of High Frequency Oscillations (HFOs) as biomarkers in neurodegenerative diseases like Alzheimer's, highlighting datasets, methodological challenges, and future research directions.
Contribution
It provides a comprehensive overview of public EEG datasets for HFO research in neurodegeneration, addressing methodological heterogeneity and offering a framework for future studies.
Findings
Growing research interest in HFOs over the last decade
Identification of dataset heterogeneity affecting HFO analysis
Guidelines for leveraging public EEG data in neurodegenerative research
Abstract
High Frequency Oscillations (HFOs), rapid bursts of brain activity above 80 Hz, have emerged as a highly specific biomarker for epileptogenic tissue. Recent evidence suggests that HFOs are also present in Alzheimer's Disease (AD), reflecting underlying network hyperexcitability and offering a promising, noninvasive tool for early diagnosis and disease tracking. This synoptic review provides a comprehensive analysis of publicly available electroencephalography (EEG) datasets relevant to HFO research in neurodegenerative disorders. We conducted a bibliometric analysis of 1,222 articles, revealing a significant and growing research interest in HFOs, particularly within the last ten years. We then systematically profile and compare key public datasets, evaluating their participant cohorts, data acquisition parameters, and accessibility, with a specific focus on their technical suitability…
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