Explanipedia

Immediate-use rescue medication and the epilepsy monitoring unit: experiences from an expert panel Open

Evelyn K. Shih, Brin Freund, Michael R. Sperling, Danielle A. Becker, Proleta Datta , et al. · 2025

Status Epilepticus Protocol Variation Across Accredited National Association of Epilepsy Centers Members Open

Laura K. Lamberta, Melissa M. Asmar, Megan Fredwall, Stephanie M. Ahrens, Shasha Bai , et al. · 2025

Despite the importance of timeliness in SE management, one third of institutional protocols did not specify treatment times. This analysis of US hospital inpatient SE protocols provides expert opinion regarding infusion therapy management …

Comparing Machine and Deep Learning Models for Pediatric Anxiety Classification using Structured EHRs and Area-based Measures of Health Data Open

Eric W. Lee, Sanghyun Choo, Dakotah Maguire, Abhishek Shivanna, Daniel Santel , et al. · 2025

Objective This study investigates the performance of various machine learning (ML) and deep learning (DL) models to classify pediatric patients at risk of anxiety disorders using electronic health records (EHRs). By leveraging EHR data and…

<i>Do Seizures Damage the Brain</i> ?—Cumulative Effects of Seizures and Epilepsy: A 2025 Perspective Open

Pavel Klein, Enrique Carrazana, Tracy A. Glauser, B. Herman, Patricia Penovich , et al. · 2025

In 1885, William Gowers proposed that epilepsy is a progressive disease, based on clinical evidence before any effective treatments were available. His long-standing hypothesis has been summarized with the statement “seizures beget seizure…

Temporal Drift in the Semantic Meaning of Pediatric Anxiety Terms in Electronic Healthcare Records Open

Jordan Tschida, Mayanka Chandrashekar, Heidi A. Hanson, Ian Goethert, Surbhi Bhatnagar , et al. · 2025

Objective To identify and measure semantic drift (i.e., the change in semantic meaning over time) in expert-provided anxiety-related (AR) terminology and compare it to other common electronic health record (EHR) vocabulary in longitudinal …

A Data-Centric Approach to Detecting and Mitigating Demographic Bias in Pediatric Mental Health Text: A Case Study in Anxiety Detection Open

Julia Ive, Paulina Bondaronek, Vishal Yadav, Daniel Santel, Tracy A. Glauser , et al. · 2024

Introduction: Healthcare AI models often inherit biases from their training data. While efforts have primarily targeted bias in structured data, mental health heavily depends on unstructured data. This study aims to detect and mitigate lin…

Exome sequencing of 20,979 individuals with epilepsy reveals shared and distinct ultra-rare genetic risk across disorder subtypes Open

Siwei Chen, Bassel Abou‐Khalil, Zaid Afawi, Quratulain Zulfiqar Ali, Elisabetta Amadori , et al. · 2024

Correction: a call for solutions-oriented research and policy to protect children from the effects of climate change Open

Patrick Ryan, Nicholas Newman, Kimberly Yolton, Jareen Meinzen-Derr, Tracy A. Glauser , et al. · 2024

A call for solutions-oriented research and policy to protect children from the effects of climate change Open

Patrick Ryan, Nicholas Newman, Kimberly Yolton, Jareen Meinzen-Derr, Tracy A. Glauser , et al. · 2024

This month’s article “Exposure to Air Pollution and Cardiovascular Risk in Young Children – a Pilot Project” reports novel findings that young children exposed to low levels of air pollution have early indicators of vascular damage. These …

Short-Term Impact of Seizures and Mitigation Opportunities Open

Tracy A. Glauser, Danielle A. Becker, Lucretia Long, Kamil Detyniecki, Patricia Penovich , et al. · 2024

Early Identification of Candidates for Epilepsy Surgery Open

Benjamin D. Wissel, Hansel M. Greiner, Tracy A. Glauser, John Pestian, David M. Ficker , et al. · 2024

This study provides Class II evidence that a machine learning algorithm can accurately distinguish patients with epilepsy who require resective surgery from those who do not.

Highlights From the Annual Meeting of the American Epilepsy Society 2022 Open

Ignacio Valencia, Allyson Alexander, Danielle M. Andrade, Miguel Arévalo, Clio Rubiños , et al. · 2023

With more than 6000 attendees between in-person and virtual offerings, the American Epilepsy Society Meeting 2022 in Nashville, felt as busy as in prepandemic times. An ever-growing number of physicians, scientists, and allied health profe…

Neuropsychological outcomes after epilepsy surgery: A comparison of stereo electroencephalography and subdural electrodes Open

Ravindra Arya, Clayton Frink, Christina Kargol, Anna W. Byars, David A. Huddleston , et al. · 2023

Background and purpose We analyzed the association of neuropsychological outcomes after epilepsy surgery with the intracranial electrode type (stereo electroencephalography [SEEG] and subdural electrodes [SDE]), and electrical stimulation …

Early Clinical Variables Associated With Refractory Convulsive Status Epilepticus in Children Open

Katrina Peariso, Ravindra Arya, Tracy A. Glauser, Nicholas S. Abend, Cristina Barcia Aguilar , et al. · 2023

This study provides Class II evidence that patient and clinical factors may predict RSE in children with convulsive seizures.

Addressing the Pediatric Mental Health Crisis: Moving from a Reactive to a Proactive System of Care Open

Michael T. Sorter, Lori J. Stark, Tracy A. Glauser, Jessica McClure, John Pestian , et al. · 2023

Automated, machine learning–based alerts increase epilepsy surgery referrals: A randomized controlled trial Open

Benjamin D. Wissel, Hansel M. Greiner, Tracy A. Glauser, Francesco T. Mangano, Katherine Holland‐Bouley , et al. · 2023

Objective To determine whether automated, electronic alerts increased referrals for epilepsy surgery. Methods We conducted a prospective, randomized controlled trial of a natural language processing–based clinical decision support system e…

Implementation of <i>CYP2D6</i>-guided opioid therapy at Cincinnati Children’s Hospital Medical Center Open

Laura B. Ramsey, Cynthia A. Prows, Vidya Chidambaran, Senthilkumar Sadhasivam, Charles T. Quinn , et al. · 2023

Purpose We describe the implementation of CYP2D6-focused pharmacogenetic testing to guide opioid prescribing in a quaternary care, nonprofit pediatric academic medical center. Summary Children are often prescribed oral opioids after surger…

Acute seizure therapies in people with epilepsy: Fact or fiction? A U.S. Perspective Open

William O. Tatum, Tracy A. Glauser, Jurriaan M. Peters, Amit Verma, Sarah Weatherspoon , et al. · 2023

Implementation of Machine Learning Pipelines for Clinical Practice: Development and Validation Study Open

Lara J Kanbar, Benjamin D. Wissel, Yizhao Ni, Nathan M. Pajor, Tracy A. Glauser , et al. · 2022

Background Artificial intelligence (AI) technologies, such as machine learning and natural language processing, have the potential to provide new insights into complex health data. Although powerful, these algorithms rarely move from exper…

A machine‐learning approach for predicting impaired consciousness in absence epilepsy Open

Max Springer, Aya Khalaf, Peter Vincent, Jun Hwan Ryu, Yasmina Abukhadra , et al. · 2022

Behavior during 3–4 Hz spike‐wave discharges (SWDs) in absence epilepsy can vary from obvious behavioral arrest to no detectible deficits. Knowing if behavior is impaired is crucial for clinical care but may be difficult to determine witho…

Seizure clusters: Practical aspects and clinical strategies to care for patients in the community Open

Patricia Penovich, Tracy A. Glauser · 2022

Seizure clusters are a serious, yet often underdiagnosed and inadequately treated, occurrence in people with epilepsy. A challenge for both health care providers and patients is the lack of a cohesive integrated body of information examini…

Neuronal Circuits Supporting Development of Visual Naming Revealed by Intracranial Coherence Modulations Open

Ravindra Arya, Brian Ervin, Jason Buroker, Hansel M. Greiner, Anna W. Byars , et al. · 2022

Background Improvement in visual naming abilities throughout the childhood and adolescence supports development of higher-order linguistic skills. We investigated neuronal circuits underlying improvement in the speed of visual naming with …

Toward Suicidal Ideation Detection with Lexical Network Features and Machine Learning Open

Ulya Bayram, William Lee, D. Santel, Ali A. Minai, Peggy Clark , et al. · 2022

In this study, we introduce a new network feature for detecting suicidal ideation from clinical texts and conduct various additional experiments to enrich the state of knowledge. We evaluate statistical features with and without stopwords,…

Implementation of Machine Learning Pipelines for Clinical Practice (Preprint) Open

Lara J Kanbar, Benjamin D. Wissel, Yizhao Ni, Nathan M. Pajor, Tracy A. Glauser , et al. · 2022

UNSTRUCTURED Artificial Intelligence (AI) technologies, such as machine learning and natural language processing, have the potential to provide new insights into complex health data. While powerful, these algorithms rarely move from exper…

Using common genetic variants to find drugs for common epilepsies Open

Nasir Mirza, Remi Stevelink, Basel A. Taweel, Bobby P.C. Koeleman, Anthony G Marson , et al. · 2021

Better drugs are needed for common epilepsies. Drug repurposing offers the potential of significant savings in the time and cost of developing new treatments. In order to select the best candidate drug(s) to repurpose for a disease, it is …

A distributed network supports spatiotemporal cerebral dynamics of visual naming Open

Brian Ervin, Jason Buroker, Anna W. Byars, Leonid Rozhkov, James L. Leach , et al. · 2021

Benzodiazepine administration patterns before escalation to second‐line medications in pediatric refractory convulsive status epilepticus Open

Theodore Sheehan, Marta Amengual‐Gual, Alejandra Vasquez, Nicholas S. Abend, Anne E. Anderson , et al. · 2021

Objective This study was undertaken to evaluate benzodiazepine (BZD) administration patterns before transitioning to non‐BZD antiseizure medication (ASM) in pediatric patients with refractory convulsive status epilepticus (rSE). Methods Th…

Factors associated with long‐term outcomes in pediatric refractory status epilepticus Open

Marina Gaínza‐Lein, Cristina Barcia Aguilar, Juan Piantino, Kevin Chapman, Iván Sánchez Fernández , et al. · 2021

Objective This study was undertaken to describe long‐term clinical and developmental outcomes in pediatric refractory status epilepticus (RSE) and identify factors associated with new neurological deficits after RSE. Methods We performed r…

Clinical presentation of new onset refractory status epilepticus in children (the pSERG cohort) Open

Claudine Sculier, Cristina Barcia Aguilar, Nicolas Gaspard, Marina Gaínza‐Lein, Iván Sánchez Fernández , et al. · 2021

Objective We aimed to characterize the clinical profile and outcomes of new onset refractory status epilepticus (NORSE) in children, and investigated the relationship between fever onset and status epilepticus (SE). Methods Patients with r…

Supporting treatment adherence regimens in children with epilepsy: A randomized clinical trial Open

Avani C. Modi, Shanna M. Guilfoyle, Tracy A. Glauser, Constance A. Mara · 2021

Objective This study was undertaken to examine the efficacy of a family‐tailored education and problem‐solving behavioral intervention, Supporting Treatment Adherence Regimens (STAR), in young children (2–12 years old) with new onset epile…

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