Jay Pathmanathan
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View article: The role of sleep in Alzheimer’s disease: a mini review
The role of sleep in Alzheimer’s disease: a mini review Open
Sleep is a stereotyped and well-preserved series of neurophysiological states that are essential for overall health and brain functioning. Emerging research suggests that sleep disturbances are not only associated with but also causally co…
View article: Hyperarousal features in the sleep architecture of individuals with and without insomnia
Hyperarousal features in the sleep architecture of individuals with and without insomnia Open
Summary Sleep architecture encodes relevant information on the structure of sleep and has been used to assess hyperarousal in insomnia. This study investigated whether polysomnography‐derived sleep architecture displays signs of hyperarous…
View article: Curriculum Innovation: Design and Implementation of Synchronous and Asynchronous Curricula to Enhance Residents' EEG Knowledge and Experience
Curriculum Innovation: Design and Implementation of Synchronous and Asynchronous Curricula to Enhance Residents' EEG Knowledge and Experience Open
INTRODUCTION AND PROBLEM STATEMENT: There is a need for structured EEG education opportunities to enhance neurology resident education. To address this need, the American Epilepsy Society (AES) supported the development and implementation …
View article: Electroencephalographic insights into variant function and clinical outcomes in<i>SCN2A</i>encephalopathy
Electroencephalographic insights into variant function and clinical outcomes in<i>SCN2A</i>encephalopathy Open
Neither phenotype nor genotype reliably predicts clinical disease severity or neurodevelopmental outcomes in SCN2A developmental and epileptic encephalopathy. In this study we examined the electroencephalographic (EEG) features of children…
View article: An examination of sleep spindle metrics in the Sleep Heart Health Study: superiority of automated spindle detection over total sigma power in assessing age-related spindle decline
An examination of sleep spindle metrics in the Sleep Heart Health Study: superiority of automated spindle detection over total sigma power in assessing age-related spindle decline Open
Background Sleep spindle activity is commonly estimated by measuring sigma power during stage 2 non-rapid eye movement (NREM2) sleep. However, spindles account for little of the total NREM2 interval and therefore sigma power over the entir…
View article: 0907 Macro and microarchitectural sleep features in Alzheimer’s dementia and mild cognitive impairment in a large clinical cohort
0907 Macro and microarchitectural sleep features in Alzheimer’s dementia and mild cognitive impairment in a large clinical cohort Open
Introduction Recent work has characterized polysomnographic (PSG) changes in Alzheimer’s Dementia (AD) that correlate with disease severity and precede clinical diagnosis, although these findings are limited by relatively small sample size…
View article: Development of Expert-Level Classification of Seizures and Rhythmic and Periodic Patterns During EEG Interpretation
Development of Expert-Level Classification of Seizures and Rhythmic and Periodic Patterns During EEG Interpretation Open
This study provides Class II evidence that among patients with epilepsy or critical illness undergoing EEG monitoring, SPaRCNet can differentiate (IIIC) patterns from non-IIIC events and expert neurophysiologists.
View article: Interrater Reliability of Expert Electroencephalographers Identifying Seizures and Rhythmic and Periodic Patterns in EEGs
Interrater Reliability of Expert Electroencephalographers Identifying Seizures and Rhythmic and Periodic Patterns in EEGs Open
This study provides Class II evidence that an independent expert review reliably identifies ictal-interictal injury continuum patterns on EEG compared with expert consensus.
View article: Quantitative artifact reduction and pharmacologic paralysis improve detection of EEG epileptiform activity in critically ill patients
Quantitative artifact reduction and pharmacologic paralysis improve detection of EEG epileptiform activity in critically ill patients Open
In the appropriate setting, both AR and paralysis facilitate identification of epileptiform activity in critically ill patients.
View article: An examination of sleep spindle metrics in the Sleep Heart Health Study: superiority of automated spindle detection over total sigma power in assessing spindle activity
An examination of sleep spindle metrics in the Sleep Heart Health Study: superiority of automated spindle detection over total sigma power in assessing spindle activity Open
Background. Sleep spindle activity is commonly estimated by measuring sigma power during stage 2 non-rapid eye movement (NREM2) sleep. However, spindles account for little of the total NREM2 interval and therefore sigma power over the enti…
View article: A Comparison of Spindle Activity Measurements: Automated Spindle Detection Helps Distinguish Changes in Spindle Activity
A Comparison of Spindle Activity Measurements: Automated Spindle Detection Helps Distinguish Changes in Spindle Activity Open
Study Objectives. Sleep spindle activity is commonly estimated by measuring sigma power during stage 2 non-rapid eye movement (NREM2) sleep. However, spindles account for little of the total NREM2 interval and therefore sigma power over th…
View article: Expert Perspective: Who May Benefit Most From the New Ultra Long-Term Subcutaneous EEG Monitoring?
Expert Perspective: Who May Benefit Most From the New Ultra Long-Term Subcutaneous EEG Monitoring? Open
Today's modalities for short-term monitoring of EEG are primarily meant for supporting clinical diagnosis of epilepsy or classifying seizures and interictal epileptiform discharges while long-term EEG adds the value of differential diagnos…
View article: A Full-Stack Application for Detecting Seizures and Reducing Data During Continuous Electroencephalogram Monitoring
A Full-Stack Application for Detecting Seizures and Reducing Data During Continuous Electroencephalogram Monitoring Open
BACKGROUND: Continuous electroencephalogram monitoring is associated with lower mortality in critically ill patients; however, it is underused due to the resource-intensive nature of manually interpreting prolonged streams of continuous el…
View article: Proceedings of the Sleep and Epilepsy Workshop: Section 1 Decreasing Seizures: Improving Sleep and Seizures, Themes for Future Research
Proceedings of the Sleep and Epilepsy Workshop: Section 1 Decreasing Seizures: Improving Sleep and Seizures, Themes for Future Research Open
Epileptic seizures, sleep, and circadian timing share bilateral interactions, but concerted work to characterize these interactions and to leverage them to the advantage of patients with epilepsy remains in beginning stages. To further the…
View article: Electroencephalographic Abnormalities are Common in <scp>COVID</scp> ‐19 and are Associated with Outcomes
Electroencephalographic Abnormalities are Common in <span>COVID</span> ‐19 and are Associated with Outcomes Open
Objective The aim was to determine the prevalence and risk factors for electrographic seizures and other electroencephalographic (EEG) patterns in patients with Coronavirus disease 2019 (COVID‐19) undergoing clinically indicated continuous…
View article: Using Generalized Polyspike Train to Predict Drug-Resistant Idiopathic Generalized Epilepsy
Using Generalized Polyspike Train to Predict Drug-Resistant Idiopathic Generalized Epilepsy Open
Introduction: The authors tested the hypothesis that the EEG feature generalized polyspike train (GPT) is associated with drug-resistant idiopathic generalized epilepsy (IGE). Methods: The authors conducted a single-center case–control stu…
View article: RAMSES: A full-stack application for detecting seizures and reducing\n data during continuous EEG monitoring
RAMSES: A full-stack application for detecting seizures and reducing\n data during continuous EEG monitoring Open
Objective: Continuous EEG (cEEG) monitoring is associated with lower\nmortality in critically ill patients, however it is underutilized due to the\ndifficulty of manually interpreting prolonged streams of cEEG data. Here we\npresent a nove…
View article: RAMSES: A full-stack application for detecting seizures and reducing data during continuous EEG monitoring
RAMSES: A full-stack application for detecting seizures and reducing data during continuous EEG monitoring Open
Objective: Continuous EEG (cEEG) monitoring is associated with lower mortality in critically ill patients, however it is underutilized due to the difficulty of manually interpreting prolonged streams of cEEG data. Here we present a novel r…
View article: To Stick or Not to Stick? Scalp and Intracranial EEG Evaluation Both Help Achieve Good Surgical and Neuropsychiatric Outcomes in Epilepsy Surgery up to 20 Years Post-Surgery
To Stick or Not to Stick? Scalp and Intracranial EEG Evaluation Both Help Achieve Good Surgical and Neuropsychiatric Outcomes in Epilepsy Surgery up to 20 Years Post-Surgery Open
Epilepsy surgery is excellent for treatment of refractory epilepsy. Scalp EEG and electrocorticography are used prior to epilepsy surgery with variable outcomes across different centers and techniques. We analyzed outcomes following scalp …
View article: IRIS: A Modular Platform for Continuous Monitoring and Caretaker Notification in the Intensive Care Unit
IRIS: A Modular Platform for Continuous Monitoring and Caretaker Notification in the Intensive Care Unit Open
This work represents an important step toward facilitating translational medical data analytics to improve patient care and reduce health care costs.
View article: Interrater Reliability of Experts in Identifying Interictal Epileptiform Discharges in Electroencephalograms
Interrater Reliability of Experts in Identifying Interictal Epileptiform Discharges in Electroencephalograms Open
This study's findings suggest that experts can identify whether EEGs contain IEDs with substantial reliability. Lower reliability regarding individual IEDs may be largely explained by various experts applying different thresholds to a comm…
View article: Development of Expert-Level Automated Detection of Epileptiform Discharges During Electroencephalogram Interpretation
Development of Expert-Level Automated Detection of Epileptiform Discharges During Electroencephalogram Interpretation Open
In this study, SpikeNet automatically detected IEDs and classified whole EEGs as IED-positive or IED-negative. This may be the first time an algorithm has been shown to exceed expert performance for IED detection in a representative sample…