Results 71 to 80 of about 2,569,239 (225)
Sleep Oscillations Across Cortical, Subcortical and Cerebellar Structures in Magnetoencephalography
This study uses source‐localised MEG to characterise oscillatory whole brain activity across NREM sleep stages, including the cerebellum. Findings reveal distinct, stage‐ and frequency‐specific patterns, with cerebellar signals reliably differentiable and engaged during sigma‐band activity in N2 sleep, highlighting the cerebellum's contribution to ...
Keelin Greenlaw +4 more
wiley +1 more source
MEG: An Introduction to Methods
Magnetoencephalography (MEG) is an exciting brain imaging technology that allows real-time tracking of neural activity, making it an invaluable tool for advancing our understanding of brain function. In this comprehensive introduction to MEG, Peter Hansen, Morten Kringelbach, and Riitta Salmelin have brought together the leading researchers to provide ...
Hansen, Peter +3 more
openaire +4 more sources
Structural and Functional Imaging of Motor Outcomes in Twins With Perinatal Stroke: A Case Report
ABSTRACT Background Perinatal arterial ischemic stroke (AIS) affects 1 in 4000 live births. Dystonia, affecting ~20% of children following AIS, is characterized by involuntary muscle contractions and abnormal movements. Why some develop dystonia post AIS, while others do not, remains unclear.
Prisca Hsu +8 more
wiley +1 more source
Background To enable successful inclusion of electroencephalography (EEG) outcome measures in Alzheimer’s disease (AD) clinical trials, we retrospectively mapped the progression of resting-state EEG measures over time in amyloid-positive patients with ...
Elliz P. Scheijbeler +4 more
doaj +1 more source
Measuring functional connectivity with wearable MEG
Optically-pumped magnetometers (OPMs) offer the potential for a step change in magnetoencephalography (MEG) enabling wearable systems that: provide improved data quality; accommodate any subject group; allow data capture during movement and offer a ...
E. Boto +9 more
semanticscholar +1 more source
Distinct Resting‐State Connectomes for Face and Scene Perception Predict Individual Task Performance
Resting‐state fMRI and MEG functional connectivity reveal that the FFA and PPA anchor distinct spatio‐temporal networks. The strength of this intrinsic architecture shows a double dissociation: FFA‐network connectivity specifically predicts face‐task performance, while PPA‐network connectivity predicts scene‐task performance, linking intrinsic ...
Orhan Soyuhos +2 more
wiley +1 more source
Optimization of epilepsy surgery through virtual resections on individual structural brain networks
The success of epilepsy surgery in patients with refractory epilepsy depends upon correct identification of the epileptogenic zone (EZ) and an optimal choice of the resection area. In this study we developed individualized computational models based upon
Ida A. Nissen +10 more
doaj +1 more source
Effects of Age on Resting‐State Cortical Networks
ABSTRACT Understanding how ageing affects brain function remains a central challenge in neuroscience. Electrophysiological brain imaging techniques provide a near‐direct measure of neuronal activity, which is useful for characterising neurophysiological health.
Chetan Gohil +8 more
wiley +1 more source
MEG/EEG Group Analysis With Brainstorm
Brainstorm is a free, open-source Matlab and Java application for multimodal electrophysiology data analytics and source imaging [primarily MEG, EEG and depth recordings, and integration with MRI and functional near infrared spectroscopy (fNIRS)].
François Tadel +7 more
semanticscholar +1 more source
ABSTRACT Heartbeat‐evoked responses (HER), as measured by electroencephalography (EEG) or magnetoencephalography (MEG), represent neural activity time‐locked to heartbeats and are widely used as a marker of cardiac interoception in the study of brain–body interactions.
Paul Steinfath +6 more
wiley +1 more source

