ePoster

REFINING DETECTION OF SUBCLINICAL EPILEPTIFORM ACTIVITY IN ALZHEIMER'S DISEASE: A CASE-CONTROL STUDY AND CALL FOR A CONSENSUS

Anna B. Szaboand 5 co-authors

Université de Toulouse

FENS Forum 2026 (2026)
Barcelona, Spain
Board PS05-09AM-103

Presentation

Date TBA

Board: PS05-09AM-103

Poster preview

REFINING DETECTION OF SUBCLINICAL EPILEPTIFORM ACTIVITY IN ALZHEIMER'S DISEASE: A CASE-CONTROL STUDY AND CALL FOR A CONSENSUS poster preview

Event Information

Poster Board

PS05-09AM-103

Abstract

Sleep-predominant network hyperexcitability is increasingly recognized as a potential disease-accelerating comorbidity in Alzheimer's disease (AD). However, its prevalence and risk-factors remain debated, largely due to cohort-specific and methodological differences across studies.
In this prospective case-control study, we investigated potential ways of improving detection, from translational approaches focusing on REM-sleep to refined EEG setups and added clinical questionnaires. We recruited 30 early-stage AD patients without a history of epilepsy and 30 age-matched controls. Participants underwent overnight polysomnography with video-EEG.
Interictal epileptic discharges (IEDs) were detected in three patients (10%) and one control (3.33%), a difference not reaching statistical significance (p =.612). Most events occurred during NREM sleep. Eight patients (26.67%) reported symptoms compatible with epileptic seizures - one of whom also presented with IEDs. Patients with IEDs or reported symptoms suggestive of potential seizures exhibited more severe sleep-disordered breathing and reduced precuneus volume compared to those without.
Despite efforts to optimize detection accuracy, our findings reveal a lower-than-expected percentage of AD patients with IEDs, yet support previous findings suggesting that sleep-disordered breathing and specific atrophy patterns could flag at-risk patients, guiding screening in clinical settings. Our findings also favour validation efforts of questionnaires to support the diagnostic process.

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