The extent of microglial heterogeneity in humans remains a central yet poorly explored question
in light of the development of therapies targeting this cell type. Here, we investigate the …

Objective To examine the relationship between scalp EEG biomarkers of hyperexcitability in
Alzheimer disease (AD) and to determine how these electric biomarkers relate to the clinical …

Study Objectives Develop a high-performing, automated sleep scoring algorithm that can be
applied to long-term scalp electroencephalography (EEG) recordings. Methods Using a …

Objective: Anti-N-methyl-D-aspartate receptor (NMDAR) encephalitis is an autoimmune
disorder characterized by prominent neuropsychiatric symptoms. Given the nature of its …

Seizures are a common comorbid condition in patients with dementia, but their characteristics
have been poorly described. The authors performed a retrospective chart review using ICD…

Objective Sudden unexpected death in epilepsy (SUDEP) is the most common cause of
mortality directly related to epilepsy. Its incidence is higher in adult patients and its …

Purpose: Outcomes following unilobar surgeries for refractory epilepsy have been well
described. However, little is known about long‐term seizure outcomes following multilobar …

Background: Using machine learning to combine wrist accelerometer (ACM) and electrodermal
activity (EDA) has been shown effective to detect primarily and secondarily generalized …

Importance The hippocampus is a highly epileptogenic brain region, yet over 90% of hippocampal
epileptiform activity (HEA) cannot be identified on scalp electroencephalogram (EEG) …

Timely detection of seizures is crucial to implement optimal interventions, and may help
reduce the risk of sudden unexpected death in epilepsy (SUDEP) in patients with generalized …