Artificial intelligence in epilepsy—applications and pathways to the clinic

A Lucas, A Revell, KA Davis - Nature Reviews Neurology, 2024 - nature.com
Artificial intelligence (AI) is rapidly transforming health care, and its applications in epilepsy
have increased exponentially over the past decade. Integration of AI into epilepsy …

Modified Neuropixels probes for recording human neurophysiology in the operating room

B Coughlin, W Muñoz, Y Kfir, MJ Young, D Meszéna… - Nature protocols, 2023 - nature.com
Neuropixels are silicon-based electrophysiology-recording probes with high channel count
and recording-site density. These probes offer a turnkey platform for measuring neural …

Neural bases of the bodily self as revealed by electrical brain stimulation: A systematic review

Z Dary, B Lenggenhager, S Lagarde… - Human Brain …, 2023 - Wiley Online Library
An increasing amount of recent research has focused on the multisensory and neural bases
of the bodily self. This pre‐reflective form of self is considered as multifaceted, incorporating …

[HTML][HTML] Advances in AI-assisted biochip technology for biomedicine

DR Solovchuk - Biomedicine & Pharmacotherapy, 2024 - Elsevier
The integration of biochips with AI opened up new possibilities and is expected to
revolutionize smart healthcare tools within the next five years. The combination of …

Intracranial EEG signals disentangle multi-areal neural dynamics of vicarious pain perception

H Tan, X Zeng, J Ni, K Liang, C Xu, Y Zhang… - Nature …, 2024 - nature.com
Empathy enables understanding and sharing of others' feelings. Human neuroimaging
studies have identified critical brain regions supporting empathy for pain, including the …

A comparison of neuroelectrophysiology databases

P Subash, A Gray, M Boswell, SL Cohen, R Garner… - Scientific data, 2023 - nature.com
As data sharing has become more prevalent, three pillars-archives, standards, and analysis
tools-have emerged as critical components in facilitating effective data sharing and …

Multi-scale spatiotemporal attention network for neuron based motor imagery EEG classification

V Chunduri, Y Aoudni, S Khan, A Aziz, A Rizwan… - Journal of Neuroscience …, 2024 - Elsevier
Background In recent times, the expeditious expansion of Brain-Computer Interface (BCI)
technology in neuroscience, which relies on electroencephalogram (EEG) signals …

Theta-burst direct electrical stimulation remodels human brain networks

Y Huang, R Zelmann, P Hadar, J Dezha-Peralta… - Nature …, 2024 - nature.com
Abstract Theta-burst stimulation (TBS), a patterned brain stimulation technique that mimics
rhythmic bursts of 3–8 Hz endogenous brain rhythms, has emerged as a promising …

[HTML][HTML] Intra–and inter–hemispheric network dynamics supporting object recognition and speech production

Y Kitazawa, M Sonoda, K Sakakura, T Mitsuhashi… - Neuroimage, 2023 - Elsevier
We built normative brain atlases that animate millisecond-scale intra-and inter-hemispheric
white matter-level connectivity dynamics supporting object recognition and speech …

[HTML][HTML] Epileptic seizure detection based on variational mode decomposition and deep forest using EEG signals

X Liu, J Wang, J Shang, J Liu, L Dai, S Yuan - Brain Sciences, 2022 - mdpi.com
Electroencephalography (EEG) records the electrical activity of the brain, which is an
important tool for the automatic detection of epileptic seizures. It is certainly a very heavy …