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atlas-based beamformer approach  (Elekta)

 
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    Elekta atlas-based beamformer approach
    Atlas Based Beamformer Approach, supplied by Elekta, 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/atlas-based+beamformer+approach/atlas+based+beamformer+approach/pmc08474326__sj___pdf___2___msj___10__1177_1352458520977160-9-22-24
    Average 90 stars, based on 1 article reviews
    atlas-based beamformer approach - by Bioz Stars, 2026-09
    90/100 stars

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    Related Articles

    Activity Assay:

    Article Title:
    Article Snippet: Then, the temporal extension of Signal Space Separation (tSSS) was performed offline in MaxFilter (Elekta Neuromag Oy, version 2.2.15) to remove artefacts.4, 5 Figure 1 presents an overview of the MEG pre-processing steps. sensors, which were subsequently co-registered to the scalp surface obtained from MRI. .. The beamformer approach was applied to reconstruct source-localized MEG activity: each coregistered MRI was normalized to standard space after which an atlas-based beamformer approach (Elekta Neuromag Oy, version 2.1.28) was applied.6 Cortical regions of the automated anatomical labeling atlas7 were inversely transformed to each MRI, where centroids of these regions were selected to reconstruct localized MEG activity.8 Subsequently, 52 consecutive epochs (based on the participant with the lowest number of epochs available) of 4096 samples (3.27 seconds), were included and band pass filtered in the canonical MEG frequency bands using a fast Fourier transform in Matlab (version R2012.a, Mathworks, Natick, MA, USA): delta (0.5-4 Hz), theta (4-8 Hz), alpha1 (8-10 Hz), alpha2 (10-13 Hz), beta (13-30 Hz), and gamma (30-48 Hz). ..

    Magnetic Resonance Imaging:

    Article Title:
    Article Snippet: Then, the temporal extension of Signal Space Separation (tSSS) was performed offline in MaxFilter (Elekta Neuromag Oy, version 2.2.15) to remove artefacts.4, 5 Figure 1 presents an overview of the MEG pre-processing steps. sensors, which were subsequently co-registered to the scalp surface obtained from MRI. .. The beamformer approach was applied to reconstruct source-localized MEG activity: each coregistered MRI was normalized to standard space after which an atlas-based beamformer approach (Elekta Neuromag Oy, version 2.1.28) was applied.6 Cortical regions of the automated anatomical labeling atlas7 were inversely transformed to each MRI, where centroids of these regions were selected to reconstruct localized MEG activity.8 Subsequently, 52 consecutive epochs (based on the participant with the lowest number of epochs available) of 4096 samples (3.27 seconds), were included and band pass filtered in the canonical MEG frequency bands using a fast Fourier transform in Matlab (version R2012.a, Mathworks, Natick, MA, USA): delta (0.5-4 Hz), theta (4-8 Hz), alpha1 (8-10 Hz), alpha2 (10-13 Hz), beta (13-30 Hz), and gamma (30-48 Hz). ..

    Labeling:

    Article Title:
    Article Snippet: Then, the temporal extension of Signal Space Separation (tSSS) was performed offline in MaxFilter (Elekta Neuromag Oy, version 2.2.15) to remove artefacts.4, 5 Figure 1 presents an overview of the MEG pre-processing steps. sensors, which were subsequently co-registered to the scalp surface obtained from MRI. .. The beamformer approach was applied to reconstruct source-localized MEG activity: each coregistered MRI was normalized to standard space after which an atlas-based beamformer approach (Elekta Neuromag Oy, version 2.1.28) was applied.6 Cortical regions of the automated anatomical labeling atlas7 were inversely transformed to each MRI, where centroids of these regions were selected to reconstruct localized MEG activity.8 Subsequently, 52 consecutive epochs (based on the participant with the lowest number of epochs available) of 4096 samples (3.27 seconds), were included and band pass filtered in the canonical MEG frequency bands using a fast Fourier transform in Matlab (version R2012.a, Mathworks, Natick, MA, USA): delta (0.5-4 Hz), theta (4-8 Hz), alpha1 (8-10 Hz), alpha2 (10-13 Hz), beta (13-30 Hz), and gamma (30-48 Hz). ..

    Transformation Assay:

    Article Title:
    Article Snippet: Then, the temporal extension of Signal Space Separation (tSSS) was performed offline in MaxFilter (Elekta Neuromag Oy, version 2.2.15) to remove artefacts.4, 5 Figure 1 presents an overview of the MEG pre-processing steps. sensors, which were subsequently co-registered to the scalp surface obtained from MRI. .. The beamformer approach was applied to reconstruct source-localized MEG activity: each coregistered MRI was normalized to standard space after which an atlas-based beamformer approach (Elekta Neuromag Oy, version 2.1.28) was applied.6 Cortical regions of the automated anatomical labeling atlas7 were inversely transformed to each MRI, where centroids of these regions were selected to reconstruct localized MEG activity.8 Subsequently, 52 consecutive epochs (based on the participant with the lowest number of epochs available) of 4096 samples (3.27 seconds), were included and band pass filtered in the canonical MEG frequency bands using a fast Fourier transform in Matlab (version R2012.a, Mathworks, Natick, MA, USA): delta (0.5-4 Hz), theta (4-8 Hz), alpha1 (8-10 Hz), alpha2 (10-13 Hz), beta (13-30 Hz), and gamma (30-48 Hz). ..



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