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Unlabelled: Tuberous sclerosis complex (TSC) is associated with a high risk of early-onset epilepsy and developmental delay. Recently, EEG monitoring in infants with TSC and preventive antiepileptogenic treatment have been proposed to improve epilepsy and neurodevelopmental outcome. We explored how recent studies and recommendations regarding EEG monitoring and preventive epilepsy treatment have influenced the clinical practice of epilepsy management among children with TSC.
Methods: A survey on the epilepsy management approach in infants with TSC was sent by e-mail to 165 clinicians who actively participated in TSC international research conferences in years 2016 - 2019. Additionally, the e-mail addresses of TSC referral centers were collected from national TSC organizations. The survey was also distributed in the American Epilepsy Society newsletter. Only responses from centers providing neurological care for children with TSC were included in the study.
Results: Sixty-one responses from 23 countries were analyzed. Sixty respondents answered questions concerning infants, and 57 of 60 respondents (95%) perform at least one EEG study before epilepsy onset and 42 (70.0%) conduct regular EEG monitoring. Most of the clinicians perform video EEG (42/61, 68.8%). Overall, 51.7% of respondents, mostly from Europe, Australia, and South America, endorse preventive antiepileptic treatment in infants with TSC. Vigabatrin is a preferred drug in patients younger than two years old for both focal (61.7%) and generalized (56.7%) seizures.
Conclusions: Despite the lack of published results of randomized trials, the concepts of preseizure EEG monitoring and epilepsy prevention are already being implemented in the majority of surveyed centers.
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http://dx.doi.org/10.1016/j.pediatrneurol.2020.11.003 | DOI Listing |
IEEE Trans Cybern
September 2025
Sleep is essential for maintaining human health and quality of life. Analyzing physiological signals during sleep is critical in assessing sleep quality and diagnosing sleep disorders. However, manual diagnoses by clinicians are time-intensive and subjective.
View Article and Find Full Text PDFIEEE Trans Neural Syst Rehabil Eng
September 2025
Obstructive sleep apnea (OSA), one of the most common sleep disorders globally, is closely linked to brain function. Resting-state electroencephalography (EEG), due to its convenience, cost-effectiveness, and high temporal resolution, serves as a valuable tool for exploring the human brain function. This study utilized a large cohort with 968 participants who joined in 15-minute daytime resting-state EEG acquisition and overnight polysomnography (PSG) monitoring.
View Article and Find Full Text PDFMedicine (Baltimore)
September 2025
School of Sports Science and Technology, Guangzhou College of Applied Science and Technology, Guangdong, China.
Objective: This study combines a bibliometric analysis with an umbrella review to delineate the research landscape, hotspots, and emerging trends in the application of artificial intelligence to the clinical diagnosis and treatment of mild cognitive impairment.
Methods: We searched the Web of Science Core Collection for literature published between 2004 and 2024. Bibliometric analysis of the retrieved publications was performed using CiteSpace and VOSviewer to map publication trends, international collaboration networks, key contributors, and keyword co-occurrence.
PLOS Digit Health
September 2025
Department of Anesthesiology, Maastricht UMC+, Maastricht, The Netherlands.
Postoperative delirium (POD) and postoperative encephalopathy (POE) are common complications in older adults undergoing aortic valve replacement (AVR), yet the predictive accuracy of cognitive screening tools remains uncertain. In this prospective cohort study, 50 patients aged 65 years and older scheduled for AVR between January and October 2022 underwent preoperative assessment with the Brain Aging Monitor Cognitive Assessment (BAMCOG) and Montreal Cognitive Assessment (MoCA). Postoperatively, POD was evaluated with the Delirium Observation Screening (DOS) scale and POE with electroencephalography (EEG).
View Article and Find Full Text PDFIEEE Trans Biomed Eng
September 2025
Signal complexity analysis plays a crucial role in biomedical research, particularly in electroencephalography (EEG), for early disease diagnosis and cognitive monitoring. However, traditional entropy-based methods lack robustness, suffer from limitations such as sensitivity to noise, and fail to capture the multi-frequency structure of brain signals. To address these challenges, this study introduces Multivariate Multiscale Multi-Frequency Entropy (M3FrEn), a novel complexity metric that simultaneously incorporates multiscale dynamics, multichannel dependencies, and multi-frequency structure into a unified entropy-based framework.
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