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 …

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

R Sun, A Sohrabpour, GA Worrell, B He - Proceedings of the National …, 2022 - pnas.org
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 …

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 …

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 …

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, B Joseph… - Proceedings of the …, 2021 - pnas.org
High-frequency oscillations (HFOs) are a promising biomarker for localizing epileptogenic
brain and guiding successful neurosurgery. However, the utility and translation of …

Separating vascular and neuronal effects of age on fMRI BOLD signals

KA Tsvetanov, RNA Henson… - … Transactions of the …, 2021 - royalsocietypublishing.org
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 …