Results 41 to 50 of about 2,569,239 (225)
Background Deficits in perception and production of vocal pitch are often observed in people with autism spectrum disorder (ASD), but the neural basis of these deficits is unknown. In magnetoencephalogram (MEG), spectrally complex periodic sounds trigger
T. A. Stroganova +7 more
doaj +1 more source
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
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Cross-Axis Dynamic Field Compensation of Optically Pumped Magnetometer Arrays for MEG
We present dynamic field compensation (DFC), whereby three-axis field measurements from reference magnetometers are used to dynamically maintain null at the alkali vapor cells of an array of primary sensors that are proximal to a subject's scalp ...
Stephen E. Robinson +8 more
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MNE software for processing MEG and EEG data
Magnetoencephalography and electroencephalography (M/EEG) measure the weak electromagnetic signals originating from neural currents in the brain. Using these signals to characterize and locate brain activity is a challenging task, as evidenced by several
Alexandre Gramfort +7 more
semanticscholar +1 more source
A long-standing but implicit assumption is that words strongly associated with a presented cue are automatically activated in the memory through rapid spread of activation within brain semantic networks.
Anna V. Butorina +6 more
doaj +1 more source
Exploring MEG brain fingerprints: evaluation, pitfalls, and interpretations
Individual characterization of subjects based on their functional connectome (FC), termed “FC fingerprinting”, has become a highly sought-after goal in contemporary neuroscience research.
E. Sareen +5 more
semanticscholar +1 more source
Biomarkers for autism spectrum disorder: opportunities for magnetoencephalography (MEG)
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
Sources of Variability in MEG [PDF]
This paper investigates and characterizes sources of variability in MEG signals in multi-site, multi-subject studies. Understanding these sources will help to develop efficient strategies for comparing and pooling data across repetitions of an experiment, across subjects, and across sites.
Wanmei Ou +2 more
openaire +2 more sources
This paper describes the data repository for the Cambridge Centre for Ageing and Neuroscience (Cam-CAN) initial study cohort. The Cam-CAN Stage 2 repository contains multi-modal (MRI, MEG, and cognitive-behavioural) data from a large (approximately N ...
Jason R. Taylor +8 more
semanticscholar +1 more source
Identifying the connectivity of functional networks underpinning undirectly observed phenomena for neurosciences or other fields poses a Bayesian inverse-problem. Electromagnetic (EEG or MEG) inverse-solutions unveil the cortical oscillatory networks that strongly correlate to brain function with a spectral transparency that no other in vivo neuroimage
Jenni Fuller, Rosanna Ren
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