Faculty Bibliography

INTRODUCTION/BACKGROUND:Alzheimer's disease (AD) dementia has near full penetrance in adults with Down syndrome (DS) and is strongly linked to late-onset myoclonic epilepsy in Down syndrome (LOMEDS). However, promising biomarkers of epileptogenicity, such as high-frequency oscillations (HFOs >250 Hz), have not been studied. This study is the first to use wideband polysomnography in DS to investigate if HFOs occurred and preceded AD dementia and LOMEDS. METHODS:Wideband (0.1 to 500 Hz, 2048 Hz) polysomnography was performed using the international 10-20 system. HFOs were automatically detected during slow-wave sleep, followed by manual review. RESULTS:Fourteen individuals with DS and five age-matched euploid controls were studied, with all DS cases showing HFOs. HFOs emerged before AD dementia and LOMEDS and showed hemispheric lateralization in asymptomatic but not symptomatic AD dementia cases. A trend toward increasing HFO rates with age in DS warrants further confirmation. DISCUSSION/CONCLUSIONS:HFOs are promising biomarkers that may predict symptomatic AD dementia in adults with DS. HIGHLIGHTS/CONCLUSIONS:Wideband polysomnography reveals a new electrical abnormality in DS. HFOs precede AD dementia in DS. The occurrence of HFOs in DS is independent of an epilepsy diagnosis. HFOs showed hemispheric lateralization in asymptomatic DS cases. A trend of increased HFO rate with advancing age warrants further investigation.

Advanced EEG technology has revealed that epileptiform activity occurs more frequently in Alzheimer's disease (AD) than previously recognized, prompting debate over the utility of EEG in AD diagnostics. Yet, unlike epilepsy, epileptiform activity is not always observed in AD, leading to skepticism. Historically, this absence has been attributed to limited recording depth or insufficient recording duration. We tested an alternative hypothesis that certain types of epileptiform activity, specifically high-frequency oscillations (HFOs, defined as 250-500Hz fast ripples), inhibit interictal spikes (IIS), which are currently used to assess hyperexcitability clinically. We recorded wideband (0.1-500Hz) hippocampal local field potentials in three AD (Tg2576, Presenilin 2^-/-, Ts65Dn Down syndrome model) and two epilepsy (intrahippocampal kainic acid, pilocarpine) mouse models during wakefulness and sleep. In both AD and epilepsy, HFOs consistently outnumbered IIS across behavioral states, age and recording contact. However, IIS and HFOs showed divergent relationships: a negative correlation between their rates was observed only in AD, in contrast to a positive correlation in epilepsy. HFOs preceded IIS at much shorter intervals in epilepsy than in AD. Co-occurrence of IIS with ripples did not differ between AD and epilepsy. These findings reveal a novel dissociation between clinically-relevant EEG biomarkers in AD and epilepsy. In AD, HFOs may inhibit IIS, which could lead to underestimation of hyperexcitability and hinder patient stratification for anti-seizure therapies. While non-invasive HFO detection remains challenging, we stress the need for wideband EEG/MEG, particularly in AD, to assess the full extent of hyperexcitability and biomarker interactions that would otherwise remain undetected.

INTRODUCTION/BACKGROUND:Down syndrome (DS) is a genetic form of Alzheimer's disease (AD), with a high prevalence of sleep disorders, but data in adults with DS and dementia are lacking. We aim to assess sleep in adults with DS across the AD continuum. METHODS:We studied 78 healthy controls and 229 adults with DS (154 asymptomatic, 25 with prodromal AD, and 75 with AD) with subjective sleep measures and objective nocturnal polysomnography. RESULTS:Adults with DS presented worse sleep quality and higher prevalence of unnoticed obstructive sleep apnea (OSA) than controls. Sleep disruption and OSA severity increased across the AD continuum. Age-related decreases in slow-wave sleep and rapid eye movement sleep were more pronounced in the DS group. Subjective sleep measures did not capture sleep disorders. CONCLUSIONS:In DS, AD is linked to worse sleep disturbances and altered architecture. However, longitudinal studies are needed to clarify directionality and disease progression. HIGHLIGHTS/CONCLUSIONS:Down syndrome (DS) is associated with increased slow-wave sleep (SWS) and reduced rapid eye movement (REM) sleep. Obstructive sleep apnea prevalence increases along the Alzheimer's disease continuum in DS. Age-related decreases in SWS and REM sleep are accelerated in DS. Subjective sleep measures do not detect sleep disturbances in adults with DS.

High frequency oscillations (HFOs) are being incorporated into the presurgical evaluation of patients with epilepsy and also represent a rapidly evolving field in basic epilepsy research. Animal models have been pivotal in uncovering the mechanisms underlying HFOs and their role in epilepsy. In this review, we provide an overview of HFOs recorded in animal models, highlighting their relevance not only to epilepsy but also to neuropsychiatric and Alzheimer's diseases, suggesting a broader role in brain disorders. Then we explore recent advances, including innovative computational methods for the automated detection and analysis of HFOs. Building on this analysis, we propose guidelines for HFO identification and reporting with translational potential from animal models to humans. Finally, we discuss existing knowledge gaps and outline future directions for research in this rapidly evolving field.

Electroencephalography (EEG) has been instrumental in epilepsy research for the past century, both for basic and translational studies. Its contributions have advanced our understanding of epilepsy, shedding light on the pathophysiology and functional organization of epileptic networks, and the mechanisms underlying seizures. Here we re-examine the historical significance, ongoing relevance, and future trajectories of EEG in epilepsy research. We describe traditional approaches to record brain electrical activity and discuss novel cutting-edge, large-scale techniques using micro-electrode arrays. Contemporary EEG studies explore brain potentials beyond the traditional Berger frequencies to uncover underexplored mechanisms operating at ultra-slow and high frequencies, which have proven valuable in understanding the principles of ictogenesis, epileptogenesis, and endogenous epileptogenicity. Integrating EEG with modern techniques such as optogenetics, chemogenetics, and imaging provides a more comprehensive understanding of epilepsy. EEG has become an integral element in a powerful suite of tools for capturing epileptic network dynamics across various temporal and spatial scales, ranging from rapid pathological synchronization to the long-term processes of epileptogenesis or seizure cycles. Advancements in EEG recording techniques parallel the application of sophisticated mathematical analyses and algorithms, significantly augmenting the information yield of EEG recordings. Beyond seizures and interictal activity, EEG has been instrumental in elucidating the mechanisms underlying epilepsy-related cognitive deficits and other comorbidities. Although EEG remains a cornerstone in epilepsy research, persistent challenges such as limited spatial resolution, artifacts, and the difficulty of long-term recording highlight the ongoing need for refinement. Despite these challenges, EEG continues to be a fundamental research tool, playing a central role in unraveling disease mechanisms and drug discovery.

OBJECTIVE:To test the hypothesis that high frequency oscillations (HFOs) between 250 and 500Hz occur in mouse models of Alzheimer's disease (AD) and thus are not unique to epilepsy. METHODS:Experiments were conducted in three mouse models of AD: Tg2576 mice that simulate a form of familial AD, presenilin 2 knock-out (PS2KO) mice, and the Ts65Dn model of Down's syndrome. We recorded HFOs using wideband (0.1-500Hz, 2kHz) intra-hippocampal and cortical surface EEG at 1month until 24months-old during wakefulness, slow wave sleep (SWS) and rapid eye movement (REM) sleep. Interictal spikes (IIS) and seizures were also analyzed for the possible presence of HFOs. Comparisons were made to the intra-hippocampal kainic acid and pilocarpine models of epilepsy. RESULTS:We describe for the first time that hippocampal and cortical HFOs are a new EEG abnormality in AD mouse models. HFOs occurred in all transgenic mice but no controls. They were also detectable as early as 1month of age and prior to amyloid-β plaque neuropathology. HFOs were most frequent during SWS (vs. REM or wakefulness). Notably, HFOs in the AD and epilepsy models were indistinguishable in both spectral frequency and duration. HFOs also occurred during IIS and seizures in the AD models, although with altered spectral properties compared to isolated HFOs. SIGNIFICANCE/CONCLUSIONS:Our data demonstrate that HFOs, an epilepsy biomarker with high translational value, are not unique to epilepsy and thus not disease specific. Our findings also strengthen the idea of hyperexcitability in AD and its significant overlap with epilepsy. HFOs in AD mouse models may serve as an EEG biomarker which is detectable from the scalp and thus amenable to non-invasive detection in people at risk for AD.

INTRODUCTION/BACKGROUND:The long-standing cholinergic hypothesis posits that cholinergic signaling is uniformly deficient in Alzheimer's disease (AD) and Down syndrome (DS). We tested the hypothesis that this deficiency occurs primarily late in disease, while early stages involve excessive cholinergic signaling, with distinct implications for memory. METHODS:Tg2576 (AD model; n = 38), Ts65Dn (DS model; n = 14), and wild-type (WT; n = 17) mice at young (3 to 4 months) and old (>14 months) ages received treatments to reduce cholinergic signaling (medial septum chemogenetic inhibition, muscarinic antagonist scopolamine) or enhance it (acetylcholinesterase inhibitor donepezil). Memory assessments used novel object recognition. RESULTS:Anticholinergic manipulations restored memory in young Tg2576 and Ts65Dn mice but impaired age-matched WT mice. Conversely, donepezil improved the memory of old Tg2576, Ts65Dn, and WT but not young Tg2576 and Ts65Dn animals. DISCUSSION/CONCLUSIONS:These findings refine and challenge the cholinergic hypothesis, revealing for the first time a functional shift from cholinergic hyperactivity driving early cognitive impairment to late-stage degeneration requiring enhancement.

High-frequency oscillations (HFOs) were discovered more than 20 years ago, and since then they have been studied intensively in the context of epilepsy. HFOs encompass a broad spectrum of oscillations, typically ranging from 80 Hz to several kHz, that include both normal and pathological oscillations, documented in people with epilepsy and animal models. HFOs have drawn considerable attention due to their prominent roles in epileptogenesis, ictogenesis, and functional organization of epileptic tissue. We provide historical background on HFOs in epilepsy and summarize the current state of knowledge, synthesizing clinical and basic science content from the Third International Workshop on HFOs in Epilepsy. Over the years, the field has evolved from single-center analysis of HFOs on invasive electroencephalographic recordings to recent multicenter studies and meta-analysis, which have tempered the conviction or hope that HFOs are uniform, "one event fits all," stand-alone biomarkers. Instead, association of HFOs with other electrophysiological phenomena such as interictal spikes, seizures, and signal features like entropy have highlighted new ways to identify epileptogenic tissue. Advances in recording and analytical tools have significantly expanded their potential applications in both clinical and basic science settings. Several recent publications focus on how scalp HFOs can illuminate disease propensity, severity, and therapy responses. Moreover, it was recently discovered that HFOs are also present in experimental models of Alzheimer's disease, and research is ongoing regarding their relations to the HFOs found in epilepsy. Together, these developments highlight that HFOs represent an evolving research area, with significant inroads made over the years. Yet, key gaps in knowledge remain, and we propose five benchmark areas that warrant future research and advancement.

This article reflects key themes and discussions from the American Epilepsy Society Annual Meeting 2025, Epilepsy and Aging Special Interest Group (SIG) session entitled "Multimodal Biomarkers of Epilepsy in Older Adults." The perspectives presented here are intended to highlight emerging priorities for the field. Epilepsy in older adults is the fastest-growing segment of the epilepsy population worldwide. Despite rising incidence, prevalence, and substantial morbidity, care for late-onset epilepsy (LOE) remains anchored to a seizure-centric framework that inadequately addresses the broader consequences of seizures in later life. Older adults with LOE face markedly increased risks of dementia, mortality, and stroke, yet are frequently excluded from epilepsy and Alzheimer's disease (AD) clinical trials. Patient-centered outcomes, including cognition, sleep, function, and quality of life, remain underprioritized. In this article, we argue that LOE requires multimodal biomarkers and multidisciplinary care. We contend that LOE should be reframed as a biologically meaningful warning signal of network vulnerability and overlapping brain pathology, rather than a late-life complication to be managed pragmatically. Cognitive dysfunction is common, heterogeneous, and often precedes overt neurodegenerative diagnoses, positioning cognition as an early clinical signal. Neuroimaging and electrophysiological evidence further place LOE along a continuum intersecting cardiovascular risk factors, sleep disruption, and AD biology, challenging traditional silos between epilepsy and dementia care. We argue for greater inclusion of older adults in antiseizure medication trials and for the inclusion of individuals with epilepsy in AD clinical trials. We propose a brain-health-centered framework for LOE that integrates longitudinal electroencephalography, particularly sleep-inclusive strategies, routine cognitive screening with targeted neuropsychological assessment, neuroimaging, vascular and sleep risk evaluation, and selective use of neurodegenerative biomarkers when clinically actionable. Together, these shifts move care beyond seizure counting toward a comprehensive brain-health model aligned with the realities of aging epilepsy.