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pr es s 2 5 2 preprocessing eeg data 235 eeg data  (MathWorks Inc)


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    MathWorks Inc pr es s 2 5 2 preprocessing eeg data 235 eeg data
    Pr Es S 2 5 2 Preprocessing Eeg Data 235 Eeg Data, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 96/100, based on 2340 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/preprocessed+eeg+data/Database+Toolbox/pm41353480-96-6-29
    Average 96 stars, based on 2340 article reviews
    pr es s 2 5 2 preprocessing eeg data 235 eeg data - by Bioz Stars, 2026-09
    96/100 stars

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    other:

    Article Title: Attention Affecting Response Inhibition in Overweight Adults with Food Addiction.
    Article Snippet: Microstate analysis was applied to the preprocessed data of resting-state EEG by the MATLAB 2021b toolbox + microstate [50].

    Article Title: Multimodal analysis of mother-child interaction using hyperscanning and diffusion maps.
    Article Snippet: EEG data was then off-line preprocessed using MATLAB (version 2021a, The MathWorks Inc.), and an additional dedicated pipeline based on PREP84 and EEGLab85.

    Article Title: Visual information processing of 2D, virtual 3D and real‐world objects marked by theta band responses: Visuospatial processing and cognitive load as a function of modality
    Article Snippet: The EEG data were preprocessed using Matlab (version R2023a, MathWorks Inc.) and EEGLAB (version 2023.0, Delorme & Makeig, ).

    Article Title: Visual information processing of 2D, virtual 3D and real-world objects marked by theta band responses: Visuospatial processing and cognitive load as a function of modality.
    Article Snippet: The EEG data were preprocessed using Matlab (version R2023a, MathWorks Inc.) and EEGLAB (version 2023.0, Delorme & Makeig, 2004).

    Article Title: Neuroimaging features for cognitive fatigue and its recovery with VR intervention: An EEG microstates analysis.
    Article Snippet: The EEG data were preprocessed in MATLAB (Version 2022b, MathWorks) using the EEGLAB toolbox (Version 2023.1) by following steps according to the committees on best practices in data analysis and sharing (COBIDAS) (Pernet et al., 2020).

    Article Title: Multimodal analysis of mother–child interaction using hyperscanning and diffusion maps
    Article Snippet: EEG data was then off-line preprocessed using MATLAB (version 2021a, The MathWorks Inc.), and an additional dedicated pipeline based on PREP and EEGLab .

    Article Title: Attention Affecting Response Inhibition in Overweight Adults with Food Addiction
    Article Snippet: Microstate analysis was applied to the preprocessed data of resting-state EEG by the MATLAB 2021b toolbox + microstate [ ].

    Article Title: EEG during dynamic facial emotion processing reveals neural activity patterns associated with autistic traits in children.
    Article Snippet: The EEG data were preprocessed in MATLAB (R2021a; The Mathworks, Massachusetts, USA) using the EEGLAB toolbox (Delorme and Makeig 2004) and custom scripts.



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    a , Hypnogram of the full night for a single participant. b , Time-frequency representation (spectrogram) of the EEG data recording (exemplary channel Pz). c , Continuously estimated 1/f spectral slope (z-scored over the full recording) from channel Pz. Aperiodic activity was estimated within a one-second sliding window (75% overlap) applied to the whole-night time series recorded from each channel (see Methods for details). Colour code indicates the simultaneously scored sleep stage shown in panel a. The dark vertical line marks the segment enlarged below. d , The inset illustrates the z-scored 1/f slope (upper trace) and z-scored respiratory signal (lower trace) across an exemplary 40-second time window.

    Journal: bioRxiv

    Article Title: Respiratory coordination of excitability states across the human wake-sleep cycle

    doi: 10.1101/2025.06.03.657770

    Figure Lengend Snippet: a , Hypnogram of the full night for a single participant. b , Time-frequency representation (spectrogram) of the EEG data recording (exemplary channel Pz). c , Continuously estimated 1/f spectral slope (z-scored over the full recording) from channel Pz. Aperiodic activity was estimated within a one-second sliding window (75% overlap) applied to the whole-night time series recorded from each channel (see Methods for details). Colour code indicates the simultaneously scored sleep stage shown in panel a. The dark vertical line marks the segment enlarged below. d , The inset illustrates the z-scored 1/f slope (upper trace) and z-scored respiratory signal (lower trace) across an exemplary 40-second time window.

    Article Snippet: All EEG and respiratory data preprocessing was done in Fieldtrip for Matlab [ ].

    Techniques: Activity Assay

    a , Group-level distribution of 1/f slope across polysomnographic stages, averaged across all k = 60 EEG channels and irrespective of respiration phase. Tukey-Kramer-corrected significance is shown relative to wakefulness; full statistical results are provided in the main text. b , Group-level distribution of respiratory rates across stages. Across all pairwise comparisons, only the difference between N1 and SWS was significant ( p = .041, Tukey-Kramer-corrected). c , Polar representation of group-level mean 1/f slope ± SEM across respiration phase per polysomnographic stage, averaged across all k = 60 channels. Coloured dashed lines indicate mean directions of the respective circular distributions. FDR-corrected significance is shown relative to wakefulness; full statistics on differences in mean direction are provided in the main text. d , Polar histograms show the circular distribution of mean directions in 1/f slope across the n = 23 participants per stage. Polar plots show individual courses of aperiodic activity over respiration phase. FDR-corrected tests against circular uniformity were highly significant for all polysomnographic stages. Statistical results are provided in the main text. e , Polar histograms show the circular distribution of group-level mean directions in 1/f slope across the k = 60 electrodes per stage. Polar plots show electrode-specific courses of aperiodic activity over respiration phase. FDR-corrected tests against circular uniformity were highly significant for all sleep stages. Statistical results are provided in the main text. f , Detailed visualisation of topographic consistency in group-level average 1/f slope across all electrodes, sorted from anterior to posterior location.

    Journal: bioRxiv

    Article Title: Respiratory coordination of excitability states across the human wake-sleep cycle

    doi: 10.1101/2025.06.03.657770

    Figure Lengend Snippet: a , Group-level distribution of 1/f slope across polysomnographic stages, averaged across all k = 60 EEG channels and irrespective of respiration phase. Tukey-Kramer-corrected significance is shown relative to wakefulness; full statistical results are provided in the main text. b , Group-level distribution of respiratory rates across stages. Across all pairwise comparisons, only the difference between N1 and SWS was significant ( p = .041, Tukey-Kramer-corrected). c , Polar representation of group-level mean 1/f slope ± SEM across respiration phase per polysomnographic stage, averaged across all k = 60 channels. Coloured dashed lines indicate mean directions of the respective circular distributions. FDR-corrected significance is shown relative to wakefulness; full statistics on differences in mean direction are provided in the main text. d , Polar histograms show the circular distribution of mean directions in 1/f slope across the n = 23 participants per stage. Polar plots show individual courses of aperiodic activity over respiration phase. FDR-corrected tests against circular uniformity were highly significant for all polysomnographic stages. Statistical results are provided in the main text. e , Polar histograms show the circular distribution of group-level mean directions in 1/f slope across the k = 60 electrodes per stage. Polar plots show electrode-specific courses of aperiodic activity over respiration phase. FDR-corrected tests against circular uniformity were highly significant for all sleep stages. Statistical results are provided in the main text. f , Detailed visualisation of topographic consistency in group-level average 1/f slope across all electrodes, sorted from anterior to posterior location.

    Article Snippet: All EEG and respiratory data preprocessing was done in Fieldtrip for Matlab [ ].

    Techniques: Activity Assay

    Erotica-induced modulation of NFR, pain, N2 and P2 in studies 2 and 3.

    Journal: Neurobiology of Pain

    Article Title: Cerebral peak alpha frequency: Associations with chronic pain onset and pain modulation

    doi: 10.1016/j.ynpai.2025.100180

    Figure Lengend Snippet: Erotica-induced modulation of NFR, pain, N2 and P2 in studies 2 and 3.

    Article Snippet: For analysis of PEPs during CPM and ECON, EEG data were preprocessed and analyzed in BrainVision Analyzer Software (Version 2.1.2.327).

    Techniques:

    Mutilation-induced modulation of NFR, pain, N2 and P2 in studies 2 & 3.

    Journal: Neurobiology of Pain

    Article Title: Cerebral peak alpha frequency: Associations with chronic pain onset and pain modulation

    doi: 10.1016/j.ynpai.2025.100180

    Figure Lengend Snippet: Mutilation-induced modulation of NFR, pain, N2 and P2 in studies 2 & 3.

    Article Snippet: For analysis of PEPs during CPM and ECON, EEG data were preprocessed and analyzed in BrainVision Analyzer Software (Version 2.1.2.327).

    Techniques:

    Grand average EEG waveforms at Cz for ECON. Time windows used for analysis of N2 (90–140 ms) and P2 (280–350 ms) are shaded.

    Journal: Neurobiology of Pain

    Article Title: Cerebral peak alpha frequency: Associations with chronic pain onset and pain modulation

    doi: 10.1016/j.ynpai.2025.100180

    Figure Lengend Snippet: Grand average EEG waveforms at Cz for ECON. Time windows used for analysis of N2 (90–140 ms) and P2 (280–350 ms) are shaded.

    Article Snippet: For analysis of PEPs during CPM and ECON, EEG data were preprocessed and analyzed in BrainVision Analyzer Software (Version 2.1.2.327).

    Techniques: