Results 21 to 30 of about 518,072 (206)

Globally elevated excitation–inhibition ratio in children with autism spectrum disorder and below-average intelligence

open access: yesMolecular Autism, 2022
Background Altered neuronal excitation–inhibition (E–I) balance is strongly implicated in ASD. However, it is not known whether the direction and degree of changes in the E–I ratio in individuals with ASD correlates with intellectual disability often ...
Viktoriya O. Manyukhina   +8 more
doaj   +1 more source

Biomarkers for autism spectrum disorder: opportunities for magnetoencephalography (MEG)

open access: yesJournal of Neurodevelopmental Disorders, 2021
This paper reviews a candidate biomarker for ASD, the M50 auditory evoked response component, detected by magnetoencephalography (MEG) and presents a position on the roles and opportunities for such a biomarker, as well as converging evidence from allied
Timothy P. L. Roberts   +2 more
doaj   +1 more source

Delayed M50/M100 evoked response component latency in minimally verbal/nonverbal children who have autism spectrum disorder

open access: yesMolecular Autism, 2019
Abnormal auditory neuromagnetic M50 and M100 responses, reflecting primary/secondary auditory cortex processing, have been reported in children who have autism spectrum disorder (ASD).
Timothy P. L. Roberts   +8 more
doaj   +1 more source

Activities of the Right Temporo-Parieto-Occipital Junction Reflect Spatial Hearing Ability in Cochlear Implant Users

open access: yesFrontiers in Neuroscience, 2021
Spatial hearing is critical for us not only to orient ourselves in space, but also to follow a conversation with multiple speakers involved in a complex sound environment.
Eusebia Schäfer   +11 more
doaj   +1 more source

Overview of MEG [PDF]

open access: yesOrganizational Research Methods, 2016
Magnetoencephalography (MEG) is a method to study electrical activity in the human brain by recording the neuromagnetic field outside the head. MEG, like electroencephalography (EEG), provides an excellent, millisecond-scale time resolution, and allows the estimation of the spatial distribution of the underlying activity, in favorable cases with a ...
Seppo P, Ahlfors, Maria, Mody
openaire   +2 more sources

Bayesian Opportunities for Brain–Computer Interfaces: Enhancement of the Existing Classification Algorithms and Out-of-Domain Detection

open access: yesAlgorithms, 2023
Bayesian neural networks (BNNs) are effective tools for a variety of tasks that allow for the estimation of the uncertainty of the model. As BNNs use prior constraints on parameters, they are better regularized and less prone to overfitting, which is a ...
Egor I. Chetkin   +2 more
doaj   +1 more source

Motor cortex activity predicts response alternation during sensorimotor decisions

open access: yesNature Communications, 2016
The motor cortex executes responses based on sensory choices, but it is unknown whether it also impacts response selection. Here, Pape and Siegel show that motor cortex activity present before decision making predicts responses and that this activity is ...
Anna-Antonia Pape, Markus Siegel
doaj   +1 more source

Epidemic models characterize seizure propagation and the effects of epilepsy surgery in individualized brain networks based on MEG and invasive EEG recordings

open access: yesScientific Reports, 2022
Epilepsy surgery is the treatment of choice for drug-resistant epilepsy patients. However, seizure-freedom is currently achieved in only 2/3 of the patients after surgery. In this study we have developed an individualized computational model based on MEG
Ana P. Millán   +7 more
doaj   +1 more source

The role of epidemic spreading in seizure dynamics and epilepsy surgery

open access: yesNetwork Neuroscience, 2023
Epilepsy surgery is the treatment of choice for drug-resistant epilepsy patients, but only leads to seizure freedom for roughly two in three patients. To address this problem, we designed a patient-specific epilepsy surgery model combining large-scale ...
Ana P. Millán   +7 more
doaj   +1 more source

Maturation of hemispheric specialization for face encoding during infancy and toddlerhood

open access: yesDevelopmental Cognitive Neuroscience, 2021
Little is known about the neural processes associated with attending to social stimuli during infancy and toddlerhood. Using infant magnetoencephalography (MEG), fusiform gyrus (FFG) activity while processing Face and Non-Face stimuli was examined in 46 ...
Yuhan Chen   +14 more
doaj   +1 more source

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