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Subcortical cognition: the fruit below the rind
Cognitive neuroscience has highlighted the cerebral cortex while often overlooking
subcortical structures. This cortical proclivity is found in basic and translational research on …
subcortical structures. This cortical proclivity is found in basic and translational research on …
[HTML][HTML] Can EEG and MEG detect signals from the human cerebellum?
The cerebellum plays a key role in the regulation of motor learning, coordination and timing,
and has been implicated in sensory and cognitive processes as well. However, our current …
and has been implicated in sensory and cognitive processes as well. However, our current …
Deep neural networks constrained by neural mass models improve electrophysiological source imaging of spatiotemporal brain dynamics
Many efforts have been made to image the spatiotemporal electrical activity of the brain with
the purpose of map** its function and dysfunction as well as aiding the management of …
the purpose of map** its function and dysfunction as well as aiding the management of …
Subcortical electrophysiological activity is detectable with high-density EEG source imaging
M Seeber, LM Cantonas, M Hoevels, T Sesia… - Nature …, 2019 - nature.com
Subcortical neuronal activity is highly relevant for mediating communication in large-scale
brain networks. While electroencephalographic (EEG) recordings provide appropriate …
brain networks. While electroencephalographic (EEG) recordings provide appropriate …
Deep brain activities can be detected with magnetoencephalography
The hippocampus and amygdala are key brain structures of the medial temporal lobe,
involved in cognitive and emotional processes as well as pathological states such as …
involved in cognitive and emotional processes as well as pathological states such as …
Subcortical sources dominate the neuroelectric auditory frequency-following response to speech
GM Bidelman - Neuroimage, 2018 - Elsevier
Frequency-following responses (FFRs) are neurophonic potentials that provide a window
into the encoding of complex sounds (eg, speech/music), auditory disorders, and …
into the encoding of complex sounds (eg, speech/music), auditory disorders, and …
SparseDGCNN: Recognizing emotion from multichannel EEG signals
Emotion recognition from EEG signals has attracted much attention in affective computing.
Recently, a novel dynamic graph convolutional neural network (DGCNN) model was …
Recently, a novel dynamic graph convolutional neural network (DGCNN) model was …
A comprehensive study on electroencephalography and magnetoencephalography sensitivity to cortical and subcortical sources
Signal‐to‐noise ratio (SNR) maps are a good way to visualize electroencephalography
(EEG) and magnetoencephalography (MEG) sensitivity. SNR maps extend the knowledge …
(EEG) and magnetoencephalography (MEG) sensitivity. SNR maps extend the knowledge …
Noninvasive high-frequency oscillations riding spikes delineates epileptogenic sources
High-frequency oscillations (HFOs) are a promising biomarker for localizing epileptogenic
brain and guiding successful neurosurgery. However, the utility and translation of …
brain and guiding successful neurosurgery. However, the utility and translation of …
Separating vascular and neuronal effects of age on fMRI BOLD signals
Accurate identification of brain function is necessary to understand the neurobiology of
cognitive ageing, and thereby promote well-being across the lifespan. A common tool used …
cognitive ageing, and thereby promote well-being across the lifespan. A common tool used …