First-pass extracted concept

electroencephalography

Candidate: concept label2 source documents2 linked claims

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Aliases

EEG, electroencephalographic

Evidence Snippets

Therefore, this review aims to investigate the current understanding of the neural circuit mechanisms in epilepsy based on various technologies, including electroencephalography, magnetic resonance imaging, optogenetics, chemogenetics, deep brain stimulation, and brain-computer interfaces.

Evidence 1Source 1DOI PubMedprovenance

advancements using electroencephalographic (EEG) and electrocorticographic (ECoG) signals in human patients for clinical applications

Evidence 2Source 2DOI PubMedprovenance

Supporting Sources

Source 1primary paper2026MEDDOI PubMed

1 evidence snippet 1 linked claim Claim 1

Source 2primary paper2014BioMed Research InternationalDOI PubMed

1 evidence snippet 1 linked claim Claim 1

Linked Claims

Claim 1review scopesupports2026Source 1DOI PubMed

The review investigates neural circuit mechanisms in epilepsy using evidence from electroencephalography, magnetic resonance imaging, optogenetics, chemogenetics, deep brain stimulation, and brain-computer interfaces.

Quoted textsource-backed

Therefore, this review aims to investigate the current understanding of the neural circuit mechanisms in epilepsy based on various technologies, including electroencephalography, magnetic resonance imaging, optogenetics, chemogenetics, deep brain stimulation, and brain-computer interfaces.

Claim 2performance claimsupports2014Source 2DOI PubMed

A nonlinear particle filter model for EEG decoding achieves decoding accuracies comparable to the literature while requiring smaller training datasets.