Evidence Hub

Eating Epilepsy: Clinico-Electro-Imaging Profiles and Treatment Outcomes in Patients from Northeast India

Kasana R, Barthakur M, Velayudhan KV, Barua AR, Borah NC, Undela K

Annals of Indian Academy of Neurology, 2026

26 participants

Abstract

Abstract: Eating epilepsy (EE) is a rare type of reflex epilepsy that predominantly affects South Asian populations. Its pathophysiology involves activation of the insular-opercular and perisylvian networks during eating, although the clinical spectrum and treatment outcomes remain underrecognized in certain regions. This study aimed to describe the clinico-electro-imaging profile and treatment outcomes of patients with EE at a tertiary care hospital in Assam, Northeast India. This retrospective case series identified consecutive patients with EE between 2018 and 2025. Demographic and clinical information was collected from medical records and summarized. A total of 26 patients with EE, mainly young adults (mean age, 23.9 ± 6.1 years), experienced seizure onset during adolescence, and 65.4% were male. Rice-related triggers were identified in 30.8% of patients. Interictal electroencephalogram abnormalities were identified in 88.5% of cases, whereas magnetic resonance imaging abnormalities were observed in 23.1%. All patients presented with focal epilepsy, predominantly originating from the parieto-occipital and frontotemporal regions. At follow-up, 92.3% achieved seizure freedom while receiving appropriate antiseizure medications. These findings underscore the importance of region-specific, culturally aware assessment in the management of EE.

How strong is the evidence?

Evidence Hub reads this as a case series, done in people. Its evidence level is 5 of 5 (Very low · case / narrative / animal / in vitro / in silico). Case reports, narrative reviews, and animal, cell or computer-model studies give the weakest evidence for human health. Reported size: 26 participants or records.

How the five levels of evidence work. The level is assigned automatically from the abstract and can be wrong, so check the paper.

Read the paper

Related studies

Go deeper in Evidence Hub

Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.

Open this study Sign up free