MEG is a non-invasive neuro-imaging technique that helps identify seizure activity or evoked sensory activity, which can be overlaid onto MRI images of the brain to assist with pre-surgical planning ...

Individual T1-weighted MRI scans were acquired for all participants using a 1.5 T Siemens scanner ... highlighting its role in evaluating preferences and guiding choices. Altogether, our complex ...

The development of accurate electroencephalography (EEG) and magnetoencephalography (MEG) source imaging algorithm is of great importance for functional brain research and non-invasive presurgical ...

Thus, regarding the reproducibility of the functional network results, it was performed a study in which subjects underwent three MEG scans in three separate days and different functional connectivity ...

Abstract: We describe a comprehensive linear approach to the problem of imaging brain activity with high temporal as well as spatial resolution based on combining EEG and MEG data with anatomical ...

Our goal in this workstream, is to use non-invasive brain imaging methods, namely magnetoencephalography (MEG) and magnetic resonance imaging (MRI), to determine if there are measures of brain ...

Abstract: Magnetoencephalography (MEG), leveraging magnetic signal detection, is a clinically validated neuroimaging technique known for its high spatiotemporal resolution and noninvasive nature, ...

Full analysis to be presented will include assessment of whole-brain con- nectivity using amplitude envelope correlation, structural damage using high-resolution susceptibility weighted imaging and ...

We apply this understanding in the context of health neuroscience and artificial intelligence. I use functional Magnetic Resonance Imaging (fMRI) and Magnetoencephalography (MEG) to investigate how ...

In a study published in Current Biology, researchers used a safe and noninvasive brain-imaging technique called ...