Results are given of determination by means of a Minsk-22 electronic computer of the probabilistic characteristics and correlation coefficients for some parameters of the background EEG (frontal-occipital records) in a group of healthy subjects. The parameters studied (the number and amplitude of alpha- and other waves) are subject to the normal law of distribution of random values. A probabilistic model of background EEG has been plotted. Correlations between the factors of the statistic model of background EEG have been studied. The results presented in the paper may prove useful in studying the EEG characteristics and the functional state of the brain.
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Hearing impairment (HI) disrupts social interaction by hindering the ability to follow conversations in noisy environments. While hearing aids (HAs) with noise reduction (NR) partially address this, the "cocktailparty problem" persists, where individuals struggle to attend to specific voices amidst background noise. This study investigated how NR and an advanced signal processing method for compensating for nonlinearities in EEG signals can improve neural speech processing in HI listeners.
View Article and Find Full Text PDFEpilepsy Res
January 2025
Epilepsy Program, Division of Neurology, Department of Pediatrics, Hospital for Sick Children, University of Toronto, Toronto, Ontario, Canada. Electronic address:
Background: Direct cortical electrical stimulation remains the gold standard for delineation of the primary motor cortex in patients with drug-resistant epilepsy (DRE) undergoing epilepsy surgery evaluation OBJECTIVE: This study aimed to explore the efficacy and safety of functional motor mapping through Stereo-EEG (SEEG) electrode contacts in children with DRE at our institute.
Methods: We performed a retrospective analysis of children who underwent SEEG evaluation and functional cortical mapping via bipolar electrical stimulation at our institution between July 2020 and June 2024. Detailed clinical, radiological and neurophysiological variable were extracted; qualitative and quantitative variables were summarized using appropriate descriptive statistics.
Front Hum Neurosci
January 2025
Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Kowloon, Hong Kong SAR, China.
Background: Bimanual motor training is an effective neurological rehabilitation strategy. However, its use has rarely been investigated in patients with paralysis caused by spinal cord injury (SCI). Therefore, we conducted a case study to investigate the effects of robot-assisted task-oriented bimanual training (RBMT) on upper limb function, activities of daily living, and movement-related sensorimotor activity in a patient with SCI.
View Article and Find Full Text PDFNeurocrit Care
January 2025
Faculty of Psychology, Chulalongkorn University, Bangkok, Thailand.
Background: Super-refractory status epilepticus (SRSE) is an extremely serious neurological emergency. Risk factors and mechanisms involved in transition from refractory status epilepticus (RSE) to SRSE are insufficiently studied.
Methods: This was a multicenter retrospective cohort study of consecutive patients diagnosed and treated for RSE at two reference hospital over 5 years in Ecuador.
J Neurosci Methods
January 2025
School of Electrical and Computer Engineering, Gallogly College of Engineering, University of Oklahoma, Norman, OK 73019, USA.
Background: Recent advances in multimodal signal analysis enable the identification of subtle drug-induced anomalies in sleep that traditional methods often miss.
New Method: We develop and introduce the Dynamic Representation of Multimodal Activity and Markov States (DREAMS) framework, which embeds explainable artificial intelligence (XAI) techniques to model hidden state transitions during sleep using tensorized EEG, EMG, and EOG signals from 22 subjects across three age groups (18-29, 30-49, and 50-66 years). By combining Tucker decomposition with probabilistic Hidden Markov Modeling, we quantified age-specific, temazepam-induced hidden states and significant differences in transition probabilities.
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