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high-density eeg cap (128 electrodes)  (Philips Healthcare)

 
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    Philips Healthcare high-density eeg cap (128 electrodes)
    High Density Eeg Cap (128 Electrodes), supplied by Philips Healthcare, 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/result/high-density eeg cap (128 electrodes)/product/Philips Healthcare
    Average 90 stars, based on 1 article reviews
    high-density eeg cap (128 electrodes) - by Bioz Stars, 2026-03
    90/100 stars

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    high-density eeg cap (128 electrodes)  (Philips Healthcare)
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    high-density eeg system using a cap with 128 active electrodes  (BioSemi)
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    MST calculation pipeline. Step 1 shows the preprocessed EEG. In step 2, a functional connectivity matrix was calculated using the phase-lag index (PLI) for each pair of <t>electrodes.</t> In step 3, the minimum spanning tree (MST) was constructed from the functional connectivity matrix by including the strongest connections while avoiding loops. All the connections in the MST are set to 1 while all other connections are set to 0. As such, the MST is a structure that is considered to reflect the backbone of the functional connectivity network. Step 4 shows an example of a MST.
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    MST calculation pipeline. Step 1 shows the preprocessed EEG. In step 2, a functional connectivity matrix was calculated using the phase-lag index (PLI) for each pair of electrodes. In step 3, the minimum spanning tree (MST) was constructed from the functional connectivity matrix by including the strongest connections while avoiding loops. All the connections in the MST are set to 1 while all other connections are set to 0. As such, the MST is a structure that is considered to reflect the backbone of the functional connectivity network. Step 4 shows an example of a MST.

    Journal: NeuroImage

    Article Title: Meditation is associated with increased brain network integration

    doi: 10.1016/j.neuroimage.2017.06.071

    Figure Lengend Snippet: MST calculation pipeline. Step 1 shows the preprocessed EEG. In step 2, a functional connectivity matrix was calculated using the phase-lag index (PLI) for each pair of electrodes. In step 3, the minimum spanning tree (MST) was constructed from the functional connectivity matrix by including the strongest connections while avoiding loops. All the connections in the MST are set to 1 while all other connections are set to 0. As such, the MST is a structure that is considered to reflect the backbone of the functional connectivity network. Step 4 shows an example of a MST.

    Article Snippet: Electroencephalography data were recorded with a high-density EEG system using a cap with 128 active electrodes (BioSemi, Amsterdam, The Netherlands).

    Techniques: Functional Assay, Construct