Prominence of delta oscillatory rhythms in the motor cortex and their relevance for auditory and speech perception
In the motor cortex, beta oscillations (∼ 12–30 Hz) are generally considered a principal
rhythm contributing to movement planning and execution. Beta oscillations cohabit and …
rhythm contributing to movement planning and execution. Beta oscillations cohabit and …
Moving beyond ERP components: a selective review of approaches to integrate EEG and behavior
Relationships between neuroimaging measures and behavior provide important clues about
brain function and cognition in healthy and clinical populations. While …
brain function and cognition in healthy and clinical populations. While …
Individual human brain areas can be identified from their characteristic spectral activation fingerprints
The human brain can be parcellated into diverse anatomical areas. We investigated whether
rhythmic brain activity in these areas is characteristic and can be used for automatic …
rhythmic brain activity in these areas is characteristic and can be used for automatic …
[HTML][HTML] The natural frequencies of the resting human brain: An MEG-based atlas
Brain oscillations are considered to play a pivotal role in neural communication. However,
detailed information regarding the typical oscillatory patterns of individual brain regions is …
detailed information regarding the typical oscillatory patterns of individual brain regions is …
[HTML][HTML] Unsupervised representation learning of spontaneous MEG data with nonlinear ICA
Resting-state magnetoencephalography (MEG) data show complex but structured
spatiotemporal patterns. However, the neurophysiological basis of these signal patterns is …
spatiotemporal patterns. However, the neurophysiological basis of these signal patterns is …
A tutorial review on multi-subject decomposition of EEG
Over the last years we saw a steady increase in the relevance of big neuroscience data sets,
and with it grew the need for analysis tools capable of handling such large data sets while …
and with it grew the need for analysis tools capable of handling such large data sets while …
Spatiospectral decomposition of multi-subject EEG: evaluating blind source separation algorithms on real and realistic simulated data
Electroencephalographic (EEG) oscillations predominantly appear with periods between 1 s
(1 Hz) and 20 ms (50 Hz), and are subdivided into distinct frequency bands which appear to …
(1 Hz) and 20 ms (50 Hz), and are subdivided into distinct frequency bands which appear to …
Electrophysiological signatures of atypical intrinsic brain connectivity networks in autism
G Shou, MW Mosconi, J Wang… - Journal of neural …, 2017 - iopscience.iop.org
Objective. Abnormal local and long-range brain connectivity have been widely reported in
autism spectrum disorder (ASD), yet the nature of these abnormalities and their functional …
autism spectrum disorder (ASD), yet the nature of these abnormalities and their functional …
Exploring frequency-dependent brain networks from ongoing EEG using spatial ICA during music listening
Recently, exploring brain activity based on functional networks during naturalistic stimuli
especially music and video represents an attractive challenge because of the low signal-to …
especially music and video represents an attractive challenge because of the low signal-to …
Detection of EEG spatial–spectral–temporal signatures of errors: a comparative study of ICA-based and channel-based methods
The present study aimed to investigate the sensitivity of independent component analysis
(ICA)-and channel-based methods in detecting electroencephalography (EEG) spatial …
(ICA)-and channel-based methods in detecting electroencephalography (EEG) spatial …