[HTML][HTML] Advances in human intracranial electroencephalography research, guidelines and good practices

MR Mercier, AS Dubarry, F Tadel, P Avanzini… - Neuroimage, 2022 - Elsevier
Since the second half of the twentieth century, intracranial electroencephalography (iEEG),
including both electrocorticography (ECoG) and stereo-electroencephalography (sEEG) …

[HTML][HTML] Over and above frequency: Gamma oscillations as units of neural circuit operations

A Fernandez-Ruiz, A Sirota, V Lopes-dos-Santos… - Neuron, 2023 - cell.com
Summary Gamma oscillations (∼ 30–150 Hz) are widespread correlates of neural circuit
functions. These network activity patterns have been described across multiple animal …

[HTML][HTML] How coupled slow oscillations, spindles and ripples coordinate neuronal processing and communication during human sleep

BP Staresina, J Niediek, V Borger, R Surges… - Nature …, 2023 - nature.com
Learning and plasticity rely on fine-tuned regulation of neuronal circuits during offline
periods. An unresolved puzzle is how the sleeping brain, in the absence of external …

Global waves synchronize the brain's functional systems with fluctuating arousal

RV Raut, AZ Snyder, A Mitra, D Yellin, N Fujii… - Science …, 2021 - science.org
We propose and empirically support a parsimonious account of intrinsic, brain-wide
spatiotemporal organization arising from traveling waves linked to arousal. We hypothesize …

Working memory revived in older adults by synchronizing rhythmic brain circuits

RMG Reinhart, JA Nguyen - Nature neuroscience, 2019 - nature.com
Understanding normal brain aging and developing methods to maintain or improve
cognition in older adults are major goals of fundamental and translational neuroscience …

[HTML][HTML] A review of EEG signal features and their application in driver drowsiness detection systems

I Stancin, M Cifrek, A Jovic - Sensors, 2021 - mdpi.com
Detecting drowsiness in drivers, especially multi-level drowsiness, is a difficult problem that
is often approached using neurophysiological signals as the basis for building a reliable …

Methodological considerations for studying neural oscillations

T Donoghue, N Schaworonkow… - European journal of …, 2022 - Wiley Online Library
Neural oscillations are ubiquitous across recording methodologies and species, broadly
associated with cognitive tasks, and amenable to computational modelling that investigates …

A long short-term memory deep learning network for the prediction of epileptic seizures using EEG signals

ΚΜ Tsiouris, VC Pezoulas, M Zervakis… - Computers in biology …, 2018 - Elsevier
The electroencephalogram (EEG) is the most prominent means to study epilepsy and
capture changes in electrical brain activity that could declare an imminent seizure. In this …

[HTML][HTML] A dynamic interplay within the frontoparietal network underlies rhythmic spatial attention

IC Fiebelkorn, MA Pinsk, S Kastner - Neuron, 2018 - cell.com
Classic studies of spatial attention assumed that its neural and behavioral effects were
continuous over time. Recent behavioral studies have instead revealed that spatial attention …

Long-term brain network reorganization predicts responsive neurostimulation outcomes for focal epilepsy

AN Khambhati, A Shafi, VR Rao… - Science Translational …, 2021 - science.org
Responsive neurostimulation (RNS) devices, able to detect imminent seizures and to rapidly
deliver electrical stimulation to the brain, are effective in reducing seizures in some patients …