Subcortical cognition: The fruit below the rind

K Janacsek, TM Evans, M Kiss, L Shah… - Annual Review of …, 2022 - annualreviews.org
Cognitive neuroscience has highlighted the cerebral cortex while often overlooking
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?

LM Andersen, K Jerbi, SS Dalal - NeuroImage, 2020 - Elsevier
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 …

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 …

Deep brain activities can be detected with magnetoencephalography

F Pizzo, N Roehri, S Medina Villalon… - Nature …, 2019 - nature.com
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 …

Deep neural networks constrained by neural mass models improve electrophysiological source imaging of spatiotemporal brain dynamics

R Sun, A Sohrabpour, GA Worrell… - Proceedings of the …, 2022 - National Acad Sciences
Many efforts have been made to image the spatiotemporal electrical activity of the brain with
the purpose of mapping its function and dysfunction as well as aiding the management of …

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 …

SparseDGCNN: Recognizing emotion from multichannel EEG signals

G Zhang, M Yu, YJ Liu, G Zhao… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Emotion recognition from EEG signals has attracted much attention in affective computing.
Recently, a novel dynamic graph convolutional neural network (DGCNN) model was …

[HTML][HTML] Towards an objective evaluation of EEG/MEG source estimation methods–The linear approach

O Hauk, M Stenroos, MS Treder - Neuroimage, 2022 - Elsevier
The spatial resolution of EEG/MEG source estimates, often described in terms of source
leakage in the context of the inverse problem, poses constraints on the inferences that can …

A comprehensive study on electroencephalography and magnetoencephalography sensitivity to cortical and subcortical sources

MC Piastra, A Nüßing, J Vorwerk, M Clerc… - Human Brain …, 2021 - Wiley Online Library
Signal‐to‐noise ratio (SNR) maps are a good way to visualize electroencephalography
(EEG) and magnetoencephalography (MEG) sensitivity. SNR maps extend the knowledge …

Noninvasive high-frequency oscillations riding spikes delineates epileptogenic sources

Z Cai, A Sohrabpour, H Jiang, S Ye… - Proceedings of the …, 2021 - National Acad Sciences
High-frequency oscillations (HFOs) are a promising biomarker for localizing epileptogenic
brain and guiding successful neurosurgery. However, the utility and translation of …