AI Article Synopsis

  • Sudden Unexpected Death in Epilepsy (SUDEP) is a significant cause of mortality in epilepsy patients, with unclear underlying mechanisms that hinder effective prevention and treatment.
  • Current animal models used in SUDEP research have limitations due to differences between species, which affects their ability to accurately replicate the complex human condition.
  • The review proposes creating an ideal SUDEP model using brain-computer interfaces and artificial intelligence to enhance understanding of SUDEP's pathogenesis and advance prevention strategies.

Article Abstract

Sudden unexpected death in epilepsy (SUDEP) is the leading cause of death among patients with epilepsy, causing a global public health burden. The underlying mechanisms of SUDEP remain elusive, and effective prevention or treatment strategies require further investigation. A major challenge in current SUDEP research is the lack of an ideal model that maximally mimics the human condition. Animal models are important for revealing the potential pathogenesis of SUDEP and preventing its occurrence; however, they have potential limitations due to species differences that prevent them from precisely replicating the intricate physiological and pathological processes of human disease. This Review provides a comprehensive overview of several available SUDEP animal models, highlighting their pros and cons. More importantly, we further propose the establishment of an ideal model based on brain-computer interfaces and artificial intelligence, hoping to offer new insights into potential advancements in SUDEP research. In doing so, we hope to provide valuable information for SUDEP researchers, offer new insights into the pathogenesis of SUDEP and open new avenues for the development of strategies to prevent SUDEP.

Download full-text PDF

Source
http://dx.doi.org/10.1038/s41684-024-01426-yDOI Listing

Publication Analysis

Top Keywords

sudep
10
ideal model
8
animal models
8
pathogenesis sudep
8
offer insights
8
challenges future
4
future directions
4
directions sudep
4
sudep models
4
models sudden
4

Similar Publications

Sudden deaths in infants and children represent a profound and tragic event that continues to challenge researchers despite extensive investigation over several decades. The predominant phenotype, sudden infant death syndrome (SIDS), has evolved into the broader category of sudden unexpected infant death (SUID). In older children, a less understood phenomenon known as sudden unexplained death in childhood (SUDC) has garnered attention.

View Article and Find Full Text PDF

Background & Objective: Takotsubo cardiomyopathy (TCM), manifests as left ventricular dysfunction triggered by physical or emotional stress. It leads to higher morbidity in epileptic patients and can progress to complications. To find out the correlation between Takotsubo cardiomyopathy and epilepsy and to investigate pathophysiology and associated types of epilepsy.

View Article and Find Full Text PDF

Stress is a common seizure trigger that has been implicated in worsening epilepsy outcomes, which encompasses psychiatric and cognitive comorbidities and sudden unexpected death in epilepsy (SUDEP) risk. The neuroendocrine response to stress is mediated by the hypothalamic-pituitary-adrenal (HPA) axis and HPA axis dysfunction worsens epilepsy outcomes, increasing seizure burden, behavioral comorbidities, and risk for SUDEP in mice. Early life stress (ELS) reprograms the HPA axis into adulthood, impacting both the basal and stress-induced activity.

View Article and Find Full Text PDF

Background: Sudden unexpected death in epilepsy (SUDEP) is a common cause of premature death in children and adults with epilepsy. People with epilepsy and their caregivers prefer the risk of SUDEP to be disclosed by their clinicians; however, few tools exist to support these conversations.

Methods: We aimed to (1) characterize SUDEP communication preferences of clinicians and caregivers of children with epilepsy, and (2) leverage these preferences to develop a conversation guide to support the discussion of SUDEP risk.

View Article and Find Full Text PDF

BACKGROUND: The epilepsy monitoring unit (EMU) is an independent unit for video electroencephalogram monitoring of epilepsy patients, with the aim of capturing typical seizure events. Because of the uncontrolled seizure frequency, there may be safety risks for patients, such as falling, trauma, aspiration, status epilepticus, and sudden unexpected death in epilepsy. This study aims to evaluate the application effect of comprehensive safety projects on safety management in a pediatric EMU.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!

A PHP Error was encountered

Severity: Notice

Message: fwrite(): Write of 34 bytes failed with errno=28 No space left on device

Filename: drivers/Session_files_driver.php

Line Number: 272

Backtrace:

A PHP Error was encountered

Severity: Warning

Message: session_write_close(): Failed to write session data using user defined save handler. (session.save_path: /var/lib/php/sessions)

Filename: Unknown

Line Number: 0

Backtrace: