Evidence map›Paper›PMID 39031004›Full record

ArticleAnnals of clinical and translational neurology2024

Utilizing thalamic deep brain stimulation for an electronic seizure diary in a definite sudden unexpected death in epilepsy case.

Surya Suresh, Yash Vakilna, Vladimir Vashin, Samden Lhatoo, Sandipan Pati

Abstract readCase Reports
In one paragraph

Article in Annals of clinical and translational neurology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Surya SureshTexas Institute for Restorative Neurotechnologies, The University of Texas Health Science Center at Houston, Houston, Texas, USA.ORCID 0000-0003-0779-4985
Yash VakilnaTexas Institute for Restorative Neurotechnologies, The University of Texas Health Science Center at Houston, Houston, Texas, USA.
Vladimir VashinTexas Institute for Restorative Neurotechnologies, The University of Texas Health Science Center at Houston, Houston, Texas, USA.
Samden LhatooTexas Institute for Restorative Neurotechnologies, The University of Texas Health Science Center at Houston, Houston, Texas, USA.
Sandipan PatiTexas Institute for Restorative Neurotechnologies, The University of Texas Health Science Center at Houston, Houston, Texas, USA.ORCID 0000-0003-4171-2138

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveSudden unexpected death in epilepsy (SUDEP) is a serious threat to individuals with intractable epilepsies, contributing to premature mortality. Understanding the elusive pathophysiological mechanisms of SUDEP, especially in cases without observable terminal events, remains a crucial area for investigation. This study aimed to shed light on the burden of epileptiform activity preceding SUDEP by utilizing an automated electronic seizure diary derived from a sensing-enabled thalamic deep brain stimulator (DBS).

methodsHerein, we present the case of a 57-year-old man afflicted with intractable multifocal epilepsy secondary to cortical dysplasia and encephalomalacia resulting from severe traumatic brain injury. Despite an initial successful resection and subsequent resurgence of seizures necessitating DBS treatment, the patient tragically succumbed to SUDEP.

resultsIn-depth analysis of the patient's electronic seizure diary, complemented by data from the sensing-enabled DBS, unveiled a terminal electrographic seizure. Notably, we observed a significant increase in power within specific frequency bands recorded from the thalamus preceding the terminal event. Furthermore, these heightened band power events displayed a discernible temporal clustering pattern, primarily manifesting during specific morning and evening hours. An autopsy conclusively confirmed the diagnosis of definite SUDEP.

interpretationThis unique case report underscores the feasibility of harnessing thalamic DBS sensing capabilities to monitor seizure burden and, potentially, to tailor interventions aimed at reducing seizure frequency and associated mortality risks.

Indexed as

Deep Brain StimulationDrug Resistant EpilepsySudden Unexpected Death in EpilepsyThalamusHumansMaleMiddle AgedSeizures

Identifiers

PMID39031004
PMCPMC11537140

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.