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Artificial intelligence in epilepsy—applications and pathways to the clinic
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 …
have increased exponentially over the past decade. Integration of AI into epilepsy …
Modified Neuropixels probes for recording human neurophysiology in the operating room
Neuropixels are silicon-based electrophysiology-recording probes with high channel count
and recording-site density. These probes offer a turnkey platform for measuring neural …
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
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 …
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 …
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 …
studies have identified critical brain regions supporting empathy for pain, including the …
A comparison of neuroelectrophysiology databases
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 …
tools-have emerged as critical components in facilitating effective data sharing and …
Multi-scale spatiotemporal attention network for neuron based motor imagery EEG classification
Background In recent times, the expeditious expansion of Brain-Computer Interface (BCI)
technology in neuroscience, which relies on electroencephalogram (EEG) signals …
technology in neuroscience, which relies on electroencephalogram (EEG) signals …
Theta-burst direct electrical stimulation remodels human brain networks
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 …
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
We built normative brain atlases that animate millisecond-scale intra-and inter-hemispheric
white matter-level connectivity dynamics supporting object recognition and speech …
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
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 …
important tool for the automatic detection of epileptic seizures. It is certainly a very heavy …