Results 121 to 130 of about 144,398 (341)

Global Trends and Advances in Traumatic Brain Injury

open access: yesBrain Health, EarlyView.
ABSTRACT Traumatic brain injury (TBI) remains a major global public health challenge, contributing substantially to morbidity and mortality while imposing a significant socioeconomic burden. In recent years, notable progress has been made in understanding TBI pathophysiology, classification, monitoring, and treatment.
Yuan Zhuang   +3 more
wiley   +1 more source

Interactions of transcranial magnetic stimulation with brain oscillations: a narrative review

open access: yesFrontiers in Systems Neuroscience
Brain responses to transcranial magnetic stimulation (TMS) can be recorded with electroencephalography (EEG) and comprise TMS-evoked potentials and TMS-induced oscillations. Repetitive TMS may entrain endogenous brain oscillations. In turn, ongoing brain
Qijun Wang   +13 more
doaj   +1 more source

Bayesian multi--dipole localization and uncertainty quantification from simultaneous EEG and MEG recordings

open access: yes, 2017
We deal with estimation of multiple dipoles from combined MEG and EEG time--series. We use a sequential Monte Carlo algorithm to characterize the posterior distribution of the number of dipoles and their locations.
Luria, Gianvittorio   +3 more
core   +1 more source

Transcranial Magnetic Stimulation as a Translational Biomarker in Early‐Phase Anti‐Seizure Medication Development: A Randomized, Double‐Blind, Placebo‐Controlled Study in Generalized Epilepsy

open access: yesClinical Pharmacology &Therapeutics, EarlyView.
One‐third of epilepsy patients remain treatment‐resistant, underscoring the need for novel anti‐seizure medications (ASMs) and reliable biomarkers of central target engagement. Cortical hyperexcitability is a hallmark of epilepsy, making excitability a valuable pharmacodynamic biomarker for early‐phase drug development supporting go/no‐go decision ...
Catherine M. E. de Cuba   +7 more
wiley   +1 more source

A guide to neuromodulation in drug‐resistant epilepsy

open access: yesEpileptic Disorders, EarlyView.
Abstract Neuromodulation is approved for the treatment of drug‐resistant epilepsy. It has been increasingly utilized over the past two decades with the approval of deep brain stimulation (DBS) and responsive neurostimulation (RNS) in addition to vagus nerve stimulation (VNS)—particularly in patients who are not deemed to be good resective surgical ...
Prachi Parikh   +10 more
wiley   +1 more source

Early Seizure Detection with an Energy-Efficient Convolutional Neural Network on an Implantable Microcontroller

open access: yes, 2018
Implantable, closed-loop devices for automated early detection and stimulation of epileptic seizures are promising treatment options for patients with severe epilepsy that cannot be treated with traditional means.
Blum, Manuel   +8 more
core   +1 more source

Regional Reductions in Sleep Electroencephalography Power in Obstructive Sleep Apnea: A High-Density EEG Study [PDF]

open access: bronze, 2014
Stephanie G. Jones   +6 more
openalex   +1 more source

Delayed brain and spine migration of a retained SEEG electrode fragment: An unexpected complication

open access: yesEpileptic Disorders, EarlyView.
Abstract Background Stereoelectroencephalography (SEEG) is a well‐established technique for localizing epileptogenic zones in patients with drug‐resistant epilepsy, including children. While considered safe, rare but serious complications can occur.
Manel Krouma   +7 more
wiley   +1 more source

Statistical mechanics of neocortical interactions: EEG eigenfunctions of short-term memory

open access: yes, 1999
This paper focuses on how bottom-up neocortical models can be developed into eigenfunction expansions of probability distributions appropriate to describe short-term memory in the context of scalp EEG. The mathematics of eigenfunctions are similar to the
Ingber, Lester
core  

Can epilepsy be predicted after the first febrile seizure? Insights from machine learning of postictal EEG

open access: yesEpileptic Disorders, EarlyView.
Abstract Objective Febrile seizures (FS) are the most common seizures in childhood, yet identifying children at risk of developing epilepsy after the first FS remains challenging. We aimed to evaluate the prognostic potential of machine learning (ML) algorithms applied to post‐febrile seizure electroencephalography (EEG) recordings.
Boran Şekeroğlu   +7 more
wiley   +1 more source

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