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) …

Dogs as a natural animal model of epilepsy

W Löscher - Frontiers in veterinary science, 2022 - frontiersin.org
Epilepsy is a common neurological disease in both humans and domestic dogs, making
dogs an ideal translational model of epilepsy. In both species, epilepsy is a complex brain …

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 …

Seizure prediction in EEG signals using STFT and domain adaptation

P Peng, Y Song, L Yang, H Wei - Frontiers in Neuroscience, 2022 - frontiersin.org
Epileptic seizure prediction is one of the most used therapeutic adjuvant strategies for drug-
resistant epilepsy. Conventional approaches commonly collect training and testing samples …

[PDF][PDF] Wireless programmable recording and stimulation of deep brain activity in freely moving humans

U Topalovic, ZM Aghajan, D Villaroman, S Hiller… - Neuron, 2020 - cell.com
Uncovering the neural mechanisms underlying human natural ambulatory behavior is a
major challenge for neuroscience. Current commercially available implantable devices that …

[HTML][HTML] Invasive epilepsy surgery evaluation

S Kovac, VN Vakharia, C Scott, B Diehl - Seizure, 2017 - Elsevier
Intracranial EEG (iEEG) recordings are widely used for the work up of pharmacoresistant
epilepsy. Different iEEG recording techniques namely subdural grids, strips, depth …

A deep fourier neural network for seizure prediction using convolutional neural network and ratios of spectral power

P Peng, L **e, H Wei - International journal of neural systems, 2021 - World Scientific
Epileptic seizure prediction is one of the most used therapeutic adjuvant strategies for drug-
resistant epilepsy. Conventional methods usually adopt handcrafted features and manual …

[HTML][HTML] Localization of deep brain activity with scalp and subdural EEG

MF Hnazaee, B Wittevrongel, E Khachatryan, A Libert… - NeuroImage, 2020 - Elsevier
To what extent electrocorticography (ECoG) and electroencephalography (scalp EEG) differ
in their capability to locate sources of deep brain activity is far from evident. Compared to …

Advances in electrode materials for scalp, forehead, and ear EEG: a mini-review

G Petrossian, P Kateb, F Miquet-Westphal… - ACS Applied Bio …, 2023 - ACS Publications
Electroencephalogram (EEG) records the electrical activity of neurons in the cerebral cortex
and is used extensively to diagnose, treat, and monitor psychiatric and neurological …

Unsupervised seizure identification on EEG

İ Yıldız, R Garner, M Lai, D Duncan - Computer methods and programs in …, 2022 - Elsevier
Abstract Background and Objective Epilepsy is one of the most common neurological
disorders, whose development is typically detected via early seizures …