Michael Sperling

Professor

Thomas Jefferson University

United States

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About

Michael Sperling is a Professor at Thomas Jefferson University in the United States. His research areas focus on epilepsy, including the effectiveness of new treatments, patient-reported outcomes, and the impact of structural connectivity on language in epilepsy. He has published recent articles exploring the use of artificial intelligence in epilepsy management and the implications of epilepsy surgery on seizure control.

Michael Sperling

Research Interests

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About

Articles (28)

Study-phase reinstatement predicts subsequent recall

Brivaracetam effectiveness and patient-reported outcomes in clinical practice: Data from a 12-month prospective, observational study in the United States

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

Potential for Therapeutic Alteration of the Underlying Biology of Epilepsy

Factors influencing seizure induction in patients with intracranial EEG recording

Left parietal structural connectivity mediates typical and atypical language laterality in temporal lobe epilepsy

Real‐world use of cenobamate in adults: Efficacy and predictors of treatment response

Artificial intelligence, digital technology, and mobile health in epilepsy

The effect of epilepsy surgery on tonic–clonic seizures

Seizure freedom and reducing the risk of sudden unexpected death in patients with focal epilepsy treated with cenobamate or other antiseizure medications

Edge‐wise analysis reveals white matter connectivity associated with focal to bilateral tonic–clonic seizures

Prediction tools and risk stratification in epilepsy surgery

Long-Term Seizure Outcome With or Without Vagal Nerve Stimulation Therapy

Association of Normative and Non-Normative Brain Networks With Cognitive Function in Patients With Temporal Lobe Epilepsy

An interview with Benjamin D. Wissel, 2024 Epilepsia Prize winner for clinical research

An interview with Marwa Elamin, 2024 Epilepsia prize winner for basic science research

Farewell from the Editor‐in‐Chief

Pathological neurons generate ripples at the UP‐DOWN transition disrupting information transfer

Thank you to our reviewers for 2023

Failure to use new breakthrough treatments for epilepsy

Stimulation better targets fast‐ripple generating networks in super responders to the responsive neurostimulator system

An interview with Brad Kamitaki, 2023 Epilepsia Prize Winner for Clinical Research

An interview with Riccardo De Feo, 2023 Epilepsia Prize winner for Basic Science Research

Equity in access to antiseizure medications: Who has the right to decide and what are the consequences of crisis decisions?

Sudden unexpected death in epilepsy during cenobamate clinical development

A Learned Map for Places and Concepts in the Human Medial Temporal Lobe

Antiseizure medications (antiepileptic drugs) in adults: starting, monitoring and stopping

Graph theoretical measures of fast ripple networks improve the accuracy of post-operative seizure outcome prediction

Collaborators (12)

Joseph I. Tracy

Christopher Skidmore

Patricia Dugan

Orrin Devinsky

Hsiangkuo Yuan

Gregory Krauss

John Stern

Michelle Guignet

Chengyuan Wu

Bradley Lega

Guido Rubboli

Shennan Weiss

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