Results 41 to 50 of about 30,896 (211)

The Contribution of Thalamocortical Core and Matrix Pathways to Sleep Spindles. [PDF]

open access: yes, 2016
Sleep spindles arise from the interaction of thalamic and cortical neurons. Neurons in the thalamic reticular nucleus (TRN) inhibit thalamocortical neurons, which in turn excite the TRN and cortical neurons.
Cash, Sydney S   +2 more
core   +4 more sources

Inverse Modeling for MEG/EEG data

open access: yes, 2017
We provide an overview of the state-of-the-art for mathematical methods that are used to reconstruct brain activity from neurophysiological data. After a brief introduction on the mathematics of the forward problem, we discuss standard and recently ...
A Doucet   +40 more
core   +1 more source

Predicting Epileptogenic Tubers in Patients With Tuberous Sclerosis Complex Using a Fusion Model Integrating Lesion Network Mapping and Machine Learning

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Accurate localization of epileptogenic tubers (ETs) in patients with tuberous sclerosis complex (TSC) is essential but challenging, as these tubers lack distinct pathological or genetic markers to differentiate them from other cortical tubers.
Tinghong Liu   +11 more
wiley   +1 more source

Virtual localization of the seizure onset zone: Using non-invasive MEG virtual electrodes at stereo-EEG electrode locations in refractory epilepsy patients

open access: yesNeuroImage: Clinical, 2018
In some patients with medically refractory epilepsy, EEG with intracerebrally placed electrodes (stereo-electroencephalography, SEEG) is needed to locate the seizure onset zone (SOZ) for successful epilepsy surgery.
Erika L. Juárez-Martinez   +6 more
doaj   +1 more source

Desynchronization of pathological low-frequency brain activity by the hypnotic drug zolpidem. [PDF]

open access: yes, 2008
Reports of the beneficial effects of the hypnotic imidazopyridine, zolpidem, described in persistent vegetative state^1, 2^ have been replicated recently in brain-injured and cognitively impaired patients^3-7^.
Alison E. Fisher   +5 more
core   +1 more source

Complex networks: new trends for the analysis of brain connectivity [PDF]

open access: yes, 2010
Today, the human brain can be studied as a whole. Electroencephalography, magnetoencephalography, or functional magnetic resonance imaging techniques provide functional connectivity patterns between different brain areas, and during different ...
Benjamini Y.   +10 more
core   +2 more sources

Fe‐Based Nanocrystalline Magnetic Shielding Cylinder with Subfemtotesla‐Level Magnetic Noise

open access: yesAdvanced Science, EarlyView.
Shields with low magnetic noise are achieved by integrating Fe‐based nanocrystalline magnetic shielding cylinders into shielding systems based on μ‐metal. Benefiting from high permeability and low loss factor, Fe‐based nanocrystalline magnetic shielding cylinders effectively suppress magnetic noise. Notably, the magnetic shielding cylinder with the ten‐
Peipei Shen   +13 more
wiley   +1 more source

A magnetoencephalography dataset during three-dimensional reaching movements for brain-computer interfaces

open access: yesScientific Data, 2023
Studying the motor-control mechanisms of the brain is critical in academia and also has practical implications because techniques such as brain-computer interfaces (BCIs) can be developed based on brain mechanisms.
Hong Gi Yeom   +2 more
doaj   +1 more source

Human Auditory cortical processing of changes in interaural correlation [PDF]

open access: yes, 2005
Sensitivity to the similarity of the acoustic waveforms at the two ears, and specifically to changes in similarity, is crucial to auditory scene analysis and extraction of objects from background.
Chait, M   +3 more
core   +1 more source

MEG-BIDS, the brain imaging data structure extended to magnetoencephalography [PDF]

open access: yesScientific Data, 2018
Abstract We present a significant extension of the Brain Imaging Data Structure (BIDS) to support the specific aspects of magnetoencephalography (MEG) data. MEG measures brain activity with millisecond temporal resolution and unique source imaging capabilities.
Niso, Guiomar   +14 more
openaire   +8 more sources

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