Results 71 to 80 of about 163,033 (175)
Magnetoencephalography (MEG) is a noninvasive diagnostic modality that directly measures neuronal signaling by recording the magnetic field created from dendritic, intracellular, electrical currents of the neuron at the surface of the head.
Andrew Zillgitt +6 more
doaj +1 more source
The Mismatch Negativity Compared: EEG, SQUID‐MEG, and Novel 4Helium‐OPMs
In this study, we compared the mismatch negativity (MMN), evoked by an auditory oddball paradigm, between EEG, cryogenic SQUID‐MEG, and a novel prototype Helium‐OPM system. Results show high similarity in the evoked time courses and signal‐to‐noise ratios, showing potential for reliable application of OPM‐MEG in MMN research, including routine clinical
Tjerk P. Gutteling +6 more
wiley +1 more source
The neuromodulation induced by neurofeedback training (NFT) remains a matter of debate. Investigating the modulation of brain activity specifically associated with NF requires controlling for multiple factors, such as reward, performance, congruency ...
Fanny Grosselin +10 more
doaj +1 more source
Event‐Marked Windowed Communication: Inferring Activity Propagation from Neural Time Series
Event‐marked Windowed Communication (EWC)—a pipeline to estimate communication patterns from regional neural recordings. EWC captures inter‐regional communication by first identifying spontaneous, endogenous perturbations, or “events”, from neural recordings, and then tracking their propagation by gauging post‐perturbation statistical effects on ...
Varun Madan Mohan +4 more
wiley +1 more source
In the current study, we employed a bottom‐up approach to study the impact of synaptic‐level alterations associated with ZDHHC9 variants on cortical function in healthy and ZDHHC9‐deficient participants. To achieve this, a recurrent neural network model was employed to recapitulate MEG‐derived auditory‐evoked responses and subsequently perturbed in ...
Rebeca Ianov Vitanov +4 more
wiley +1 more source
Background Difficulties with speech-in-noise perception in autism spectrum disorders (ASD) may be associated with impaired analysis of speech sounds, such as vowels, which represent the fundamental phoneme constituents of human speech.
Kirill A. Fadeev +10 more
doaj +1 more source
BSD: A Bayesian Framework for Parametric Models of Neural Spectra
We introduce Bayesian spectral decomposition (BSD): By performing Bayesian inversion of parametric models of neural spectral power, BSD enables straightforward group‐level analysis of spectral content and robust detection of spectral peaks. We demonstrate how BSD reveals the ageing effect on the spectral content of resting state occipital EEG signals ...
Johan Medrano +3 more
wiley +1 more source
Cortical Oscillatory Activity and Motor Control in Pediatric Stroke Patients With Hemidystonia
MEG imaging of task‐related activity during a “go”/“no‐go” task revealed that pediatric post‐stroke patients with dystonia had increased theta power during correct “No‐go” trials, and reduced gamma power and lower gamma peak frequency during correct “Go” responses, compared to non‐dystonic post‐stroke patients and healthy children. ABSTRACT Dystonia is
Prisca Hsu +6 more
wiley +1 more source
A multimodal neuroimaging study of somatosensory system [PDF]
The thesis is the result of a training by the Magnetoencephalography (MEG)-lab by the Center mind/brain science of the university of Trento. Final goal of the analysis was answering the question if MEG is capable to capture activities from the ...
Leonardelli, Elisa
core
We and others have demonstrated the resting-state (RS) peak alpha frequency (PAF) as a potential clinical marker for young children with autism spectrum disorder (ASD), with previous studies observing a higher PAF in school-age children with ASD versus ...
Guannan Shen +16 more
doaj +1 more source

