2023
DOI: 10.2147/ndt.s426263
|View full text |Cite
|
Sign up to set email alerts
|

The Association of Nocturnal Seizures and Interictal Cardiac/Central Autonomic Function in Frontal Lobe Epilepsy: Heart Rate Variability and Central Autonomic Network Analysis

Woojun Kim,
Hyunjo Lee,
Kyung Won Lee
et al.

Abstract: Purpose Patients with epilepsy frequently experience autonomic dysfunction, closely related to sudden unexplained death in epilepsy (SUDEP). SUDEP occurs most often at night or during sleep, and frequent nocturnal seizures are an established risk factor. This study investigated the influence of nocturnal seizures on autonomic dysfunction in epilepsy. Patients and Methods This retrospective study enrolled frontal lobe epilepsy (FLE) patients who performed 24-hour EEG mon… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2024
2024
2024
2024

Publication Types

Select...
5

Relationship

0
5

Authors

Journals

citations
Cited by 5 publications
(1 citation statement)
references
References 63 publications
0
1
0
Order By: Relevance
“…Reports of many other possible applications of HRV investigations have been published. These include, among others, assessments of the progression of heart failure [10][11][12], of the risk in patients with epilepsy [13,14] and of the status of critically ill patients [15,16], evaluation of psychological stress [17,18] and of sleep pattern disturbances [19], monitoring of athletic training [20], detection of physical exhaustion [21], and many other topics. Complementing the "standard" time-and frequency-domain methods for HRV measurement, a variety of different additional techniques have also been proposed and shown to improve HRV values in potential applications [3,5,[22][23][24].…”
Section: Introductionmentioning
confidence: 99%
“…Reports of many other possible applications of HRV investigations have been published. These include, among others, assessments of the progression of heart failure [10][11][12], of the risk in patients with epilepsy [13,14] and of the status of critically ill patients [15,16], evaluation of psychological stress [17,18] and of sleep pattern disturbances [19], monitoring of athletic training [20], detection of physical exhaustion [21], and many other topics. Complementing the "standard" time-and frequency-domain methods for HRV measurement, a variety of different additional techniques have also been proposed and shown to improve HRV values in potential applications [3,5,[22][23][24].…”
Section: Introductionmentioning
confidence: 99%