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software tools for eeg and meg data analysis  (BESA GmbH)

 
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    BESA GmbH software tools for eeg and meg data analysis
    Software Tools For Eeg And Meg Data Analysis, supplied by BESA GmbH, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/meg+data+analysis/software+tools/pmc08960642-361-20-9
    Average 90 stars, based on 1 article reviews
    software tools for eeg and meg data analysis - by Bioz Stars, 2026-09
    90/100 stars

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    other:

    Article Title: Visualizing spikes in source-space: Rapid and efficient evaluation of magnetoencephalography.
    Article Snippet: Objective: reviewing magnetoencephalography (MEG) recordings is time-consuming: signals from the 306 MEG-sensors are typically reviewed divided into six arrays of 51 sensors each, thus browsing each recording six times in order to evaluate all signals.. A novel method of reconstructing the MEG signals in source-space was developed using a source-montage of 29 brain-regions and two spatial components to remove magnetocardiographic (MKG) artefacts.. Our objective was to evaluate the accuracy of reviewing MEG in source-space.

    Article Title: Validating EEG source imaging using intracranial electrical stimulation
    Article Snippet: M.R. is an employee of BESA GmbH, a company, which develops and provides software tools for EEG and MEG data analysis.

    Article Title: DC-EEG recordings of mindfulness.
    Article Snippet: Accepted Manuscript DC-EEG recordings of mindfulness Ernst Rodin, Harald Bornfleth, Michael Johnson PII: S1388-2457(17)30022-6 DOI: http://dx.doi.org/10.1016/j.clinph.2016.12.031 Reference: CLINPH 2008033 To appear in: Clinical Neurophysiology Received Date: 27 September 2016 Revised Date: 25 November 2016 Accepted Date: 29 December 2016 Please cite this article as: Rodin, E., Bornfleth, H., Johnson, M., DC-EEG recordings of mindfulness, Clinical Neurophysiology (2017), doi: http://dx.doi.org/10.1016/j.clinph.2016.12.031 This is a PDF file of an unedited manuscript that has been accepted for publication.. As a service to our customers we are providing this early version of the manuscript.. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form.

    Article Title: LORETA With Cortical Constraint: Choosing an Adequate Surface Laplacian Operator
    Article Snippet: HB is an employee of BESA GmbH, a company which develops and provides software tools for EEG and MEG data analysis.

    Article Title: Acoustic-level and language-specific processing of native and non-native phonological sequence onsets in the low gamma and theta-frequency bands
    Article Snippet: MR is an employee of BESA, GmbH, a company that develops and provides software tools for EEG and MEG data analysis.

    Software:

    Article Title: EEG-fMRI: Ballistocardiogram Artifact Reduction by Surrogate Method for Improved Source Localization
    Article Snippet: .. MR, HB, J-HC, NI, and PB were employees of BESA GmbH, a company which develops and provides software tools for EEG and MEG data analysis. ..

    Article Title: Development of motion speed perception from infancy to early adulthood: a high-density EEG study of simulated forward motion through optic flow
    Article Snippet: .. EEG raw data were segmented using Net Station Tools software version 5.4.1.2 and analysed offline with Brain Electrical Source Analysis (BESA, GmbH) version 6.1 research software. ..

    Article Title: Epileptiform discharge propagation: Analyzing spikes from the onset to the peak.
    Article Snippet: Objective: To investigate how often discharge propagation occurs within the spikes recorded in patients evaluated for epilepsy surgery, and to assess its impact on the accuracy of source imaging.. Methods: Data were analyzed from 50 consecutive patients who had presurgical workup.. Discharge propagation was analyzed using sequential voltage-maps of the averaged spikes, and principal components analysis.



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    Image Search Results


    Each trial began with a fixation-cross at the screen centre, followed by a “starting box” on the left. Fixating on the starting box would trigger the sentence onset. Participants ( n = 42) were instructed to read 188 sentences silently and then gaze at the “ending box” at the screen bottom to trigger the sentence offset. Randomly, 25% of trails included a simple comprehension question requiring a button response. Each sentence contained one or two target words, either of low or high lexical frequency. The target words were unpredictable from the prior context and all sentences were plausible. RIFT was applied by continuously flickering rectangle patches underneath the target and post-target words at frequencies f t and f p respectively (60 and 65 Hz sine waves, balanced across participants). A Gaussian mask was applied over the patch to smooth the sharp luminance changes around the edges to reduce their visibility across saccades. Two discs were positioned at the bottom corners of the screen, with their luminance oscillating at sine waves of f t and f p separately throughout the entire trial. These discs were covered by two photodiodes, and, during sentence presentation, their luminance changes mirrored those of the patches beneath the flickering words. Eye tracker and MEG data were acquired simultaneously. ITI, inter-trial interval.

    Journal: bioRxiv

    Article Title: Parallel and dynamic attention allocation during natural reading

    doi: 10.1101/2025.05.27.656336

    Figure Lengend Snippet: Each trial began with a fixation-cross at the screen centre, followed by a “starting box” on the left. Fixating on the starting box would trigger the sentence onset. Participants ( n = 42) were instructed to read 188 sentences silently and then gaze at the “ending box” at the screen bottom to trigger the sentence offset. Randomly, 25% of trails included a simple comprehension question requiring a button response. Each sentence contained one or two target words, either of low or high lexical frequency. The target words were unpredictable from the prior context and all sentences were plausible. RIFT was applied by continuously flickering rectangle patches underneath the target and post-target words at frequencies f t and f p respectively (60 and 65 Hz sine waves, balanced across participants). A Gaussian mask was applied over the patch to smooth the sharp luminance changes around the edges to reduce their visibility across saccades. Two discs were positioned at the bottom corners of the screen, with their luminance oscillating at sine waves of f t and f p separately throughout the entire trial. These discs were covered by two photodiodes, and, during sentence presentation, their luminance changes mirrored those of the patches beneath the flickering words. Eye tracker and MEG data were acquired simultaneously. ITI, inter-trial interval.

    Article Snippet: The MEG data analysis was conducted using MATLAB R2020a (Mathworks Inc, USA), incorporating the FieldTrip toolbox (version 20200220; Oostenveld et al., 2011), the FLUX MEG analysis pipeline , and custom-made scripts.

    Techniques:

    Article part of the special issue by order of publication date.

    Journal: Frontiers in Neuroscience

    Article Title: Editorial: From Raw MEG/EEG to Publication: How to Perform MEG/EEG Group Analysis With Free Academic Software

    doi: 10.3389/fnins.2022.854471

    Figure Lengend Snippet: Article part of the special issue by order of publication date.

    Article Snippet: BrainWave: A MATLAB Toolbox for Beamformer Source Analysis of MEG Data , Jobst et al. , Brainwave site , GNU/ GPL , MEG , Beamformer , MATLAB , , Yes.

    Techniques: Software, Functional Assay, Biomarker Discovery, Activity Assay, Selection, Imaging