Optimizing detection and analysis of slow waves in sleep EEG.


BACKGROUND:Analysis of individual slow waves in EEG recording during sleep provides both greater sensitivity and specificity compared to spectral power measures. However, parameters for detection and analysis have not been widely explored and validated. NEW METHOD:We present a new, open-source, Matlab based, toolbox for the automatic detection and analysis of slow waves; with adjustable parameter settings, as well as manual correction and exploration of the results using a multi-faceted visualization tool. RESULTS:We explore a large search space of parameter settings for slow wave detection and measure their effects on a selection of outcome parameters. Every choice of parameter setting had some effect on at least one outcome parameter. In general, the largest effect sizes were found when choosing the EEG reference, type of canonical waveform, and amplitude thresholding. COMPARISON WITH EXISTING METHOD:Previously published methods accurately detect large, global waves but are conservative and miss the detection of smaller amplitude, local slow waves. The toolbox has additional benefits in terms of speed, user-interface, and visualization options to compare and contrast slow waves. CONCLUSIONS:The exploration of parameter settings in the toolbox highlights the importance of careful selection of detection METHODS: The sensitivity and specificity of the automated detection can be improved by manually adding or deleting entire waves and or specific channels using the toolbox visualization functions. The toolbox standardizes the detection procedure, sets the stage for reliable results and comparisons and is easy to use without previous programming experience.


J Neurosci Methods


Mensen A,Riedner B,Tononi G




Has Abstract


2016-12-01 00:00:00












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    journal_title:Journal of neuroscience methods

    pub_type: 杂志文章


    authors: Ball T,Derix J,Wentlandt J,Wieckhorst B,Speck O,Schulze-Bonhage A,Mutschler I

    更新日期:2009-05-30 00:00:00

  • Reversed-phase liquid chromatographic purification and isolation of a radio-iodinated selective probe for mu opioid receptors in the brain.

    abstract::A Guard-PAK precolumn system was used for the reversed-phase liquid chromatography purification of a small, synthetic radiolabeled opioid peptide, FK 33-824 (D-Ala2, methyl-phe4, Met (O)ol5 enkephalin) (FK). This procedure involves trace enrichment of iodinated peptide onto the precolumn while iodination reagents are ...

    journal_title:Journal of neuroscience methods

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    authors: Miller MM,Gould BE,Joshi D,Bennett HP,James S,Billiar RB

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  • MR connectomics: Principles and challenges.

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    authors: Hagmann P,Cammoun L,Gigandet X,Gerhard S,Grant PE,Wedeen V,Meuli R,Thiran JP,Honey CJ,Sporns O

    更新日期:2010-12-15 00:00:00

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    pub_type: 杂志文章


    authors: Rosen BQ,Krishnan GP,Sanda P,Komarov M,Sejnowski T,Rulkov N,Ulbert I,Eross L,Madsen J,Devinsky O,Doyle W,Fabo D,Cash S,Bazhenov M,Halgren E

    更新日期:2019-03-15 00:00:00

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    更新日期:2016-02-15 00:00:00

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    journal_title:Journal of neuroscience methods

    pub_type: 杂志文章


    authors: Qureshi F,Yan J

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    journal_title:Journal of neuroscience methods

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    authors: Li Z,Cui D,Li X

    更新日期:2016-08-30 00:00:00

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    journal_title:Journal of neuroscience methods

    pub_type: 杂志文章


    authors: Buffelli M,Busetto G,Cangiano A

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  • New software dedicated to virtual mazes for human cognitive investigations.

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    authors: Machado ML,Lefèvre N,Philoxene B,Le Gall A,Madeleine S,Fleury P,Smith PF,Besnard S

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    authors: Raabe W,Walk D

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    authors: Z-Flores E,Trujillo L,Sotelo A,Legrand P,Coria LN

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    authors: Lowdon IM,Seaber AV,Urbaniak JR

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    authors: Miettinen R,Hajszan T,Riedel A,Szigeti-Buck K,Leranth C

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    authors: Safiulina D,Kaasik A,Seppet E,Peet N,Zharkovsky A,Seppet E

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    journal_title:Journal of neuroscience methods

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    journal_title:Journal of neuroscience methods

    pub_type: 杂志文章


    authors: Nogueira MI,Barbieri C,Vieira R,Marques ER,Moreno JE

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