publication . Article . 2015

Scanning for oscillations

Alain de Cheveigné; Dorothée Arzounian;
Open Access English
  • Published: 27 Sep 2015 Journal: Journal of Neural Engineering, volume 12, issue 6, page 66,020 (issn: 1741-2560, eissn: 1741-2552, Copyright policy)
  • Publisher: IOP Publishing
Abstract
Objective. Oscillations are an important aspect of brain activity, but they often have a low signal- to-noise ratio (SNR) due to source-to-electrode mixing with competing brain activity and noise. Filtering can improve the SNR of narrowband signals, but it introduces ringing effects that may masquerade as genuine oscillations, leading to uncertainty as to the true oscillatory nature of the phenomena. Likewise, time–frequency analysis kernels have a temporal extent that blurs the time course of narrowband activity, introducing uncertainty as to timing and causal relations between events and/or frequency bands. Approach. Here, we propose a methodology that reveals...
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Subjects
free text keywords: Cellular and Molecular Neuroscience, Biomedical Engineering, Covariance, Pattern recognition, Artificial intelligence, business.industry, business, Radio spectrum, Local field potential, Electroencephalography, medicine.diagnostic_test, medicine, Magnetoencephalography, Telecommunications, Mathematics, Ringing, Narrowband, Filter (signal processing)
Related Organizations
Funded by
EC| COCOHA
Project
COCOHA
Cognitive Control of a Hearing Aid
  • Funder: European Commission (EC)
  • Project Code: 644732
  • Funding stream: H2020 | RIA
Validated by funder
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Neuroinformatics
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