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Background And Purpose: Epilepsy is a disease known to occur with autonomous phenomenons. Earlier studies indicate decreased heart rate variability (HRV) during ictal and interictal periods among epilepsy patients. In this study, we aim to investigate cardiac rhythm abnormalities and HRV during interictal period between drug-naïve patients with idiopathic generalized epilepsy (IGE) and healthy control group.
Methods: Twenty-six patients with IGE and 26 healthy individuals included in the study. In order to eliminate any structural cardiac pathology, transthoracic echocardiography was performed in all subjects and time and frequency domain parameters of HRV were evaluated after 24-hour rhythm holter monitoring.
Results: Between two groups, no significant difference was detected in terms of mean heart rate and maximum duration between the start of the Q waves and the end of the T waves (QT intervals). In the time domain analysis of HRV, no statically significant difference was detected for standard deviation of all R - R intervals and root-mean-square of successive differences between patient and control group (p = 0,070 and p = 0,104 respectively). In the frequency domain analysis of HRV, patients tended to display lower total power and very low frequency power than did healthy subjects, but the differences were not statistically significant.
Conclusions: Our results suggest that there is no major effect of the epilepsy on HRV in patients with IGE. It should be emphasized that, in this study, HRV was evaluated only in patients with IGE and that the results are not proper to be generalized for patients with partial seizures.
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http://dx.doi.org/10.14581/jer.16004 | DOI Listing |
Biomed Phys Eng Express
September 2025
electrical engineering department, Indian Institute of Technology Roorkee, Research wing, electrical department, Roorkee, uttrakhand, 247664, INDIA.
Imagined speech classification involves decoding brain signals to recognize verbalized thoughts or intentions without actual speech production. This technology has significant implications for individuals with speech impairments, offering a means to communicate through neural signals. The prime objective of this work is to propose an innovative machine learning (ML) based classification methodology that combines electroencephalogram (EEG) data augmentation using a sliding window technique with statistical feature extraction from the amplitude and phase spectrum of frequency domain EEG segments.
View Article and Find Full Text PDFPoult Sci
September 2025
College of Mechanical and Electrical Engineering, China Jiliang University, Hangzhou, Zhejiang 310020, China.
During the vaccine production through the chick embryo cultivation method, harmful cracks may occur from the perforation of a trocar on the eggshell, around the impact hole, leading to the failure of cultivation. To detect the perforative cracks, this study proposes a method based on acoustic responses. By stimulating the embryo eggs and collecting the acoustic signals, 7 characteristic values were extracted from the time and the frequency domains: The maximum value in the time domain; The difference in the time domain; The frequency-domain peaks, 870 Hz, 1250 Hz, 1470 Hz and 1770 Hz; The mean value of the waveform.
View Article and Find Full Text PDFBiochem Soc Trans
September 2025
Department of Biochemistry, McGill University, Montréal, QC, Canada.
The MET receptor tyrosine kinase is a pivotal regulator of cellular survival, motility, and proliferation. Mutations leading to skipping of exon 14 (METΔex14) within the juxtamembrane domain of MET impair receptor degradation and prolong oncogenic signaling, contributing significantly to tumor progression across multiple cancer types. METΔex14 mutations are associated with aggressive clinical behavior, therapeutic resistance, and poor outcomes.
View Article and Find Full Text PDFPLoS One
September 2025
Department of Neurology, Hospital Universitario Miguel Servet, Zaragoza, Spain.
Background: Stroke is a leading cause of death and disability globally, with frequent cognitive sequelae affecting up to 60% of stroke survivors. Despite the high prevalence of post-stroke cognitive impairment (PSCI), early detection remains underemphasized in clinical practice, with limited focus on broader neuropsychological and affective symptoms. Stroke elevates dementia risk and may act as a trigger for progressive neurodegenerative diseases.
View Article and Find Full Text PDFPLoS One
September 2025
Wake Forest University School of Medicine, Department of Implementation Science, Winston-Salem, North Carolina, United States of America.
Background: Hepatitis C virus (HCV) and injection drug use among young women are dramatically rising in the rural United States. From 2004 to 2017, heroin use among non-pregnant women increased 22.4% biennially, mirroring increases in HCV cases, especially among younger populations.
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