matlab-based berlin brain connectivity benchmark (bbcb)  (MathWorks Inc)

Journal: Scientific Reports

Article Title: EEG functional connectivity metrics wPLI and wSMI account for distinct types of brain functional interactions

doi: 10.1038/s41598-019-45289-7

Figure Lengend Snippet: From modelling source dynamics to EEG field patterns. Intra- and inter-hemispheric interactions between two source pairs were modelled: the first source was placed either in left (LIPL) or right (RIPL) inferior parietal lobule, while the second source was kept in the right middle frontal gyrus (RMFG). Source amplitudes are shown using a lateral view of the brain, while resulting EEG field potentials are plotted using a top view of the scalp (A.U. stands for arbitrary unit). The brain images were plotted using the Matlab functions provided in the BBCB toolbox .

Article Snippet: The MATLAB-based (The MathWorks, Inc., Natick, Massachusetts, USA) ‘Berlin Brain Connectivity Benchmark’ (BBCB) framework was used to simulate scalp-level hd-EEG recordings (108 channels, 500 Hz, 120 s) including bivariate relationships between two cortical sources.

Techniques:

Journal: Scientific Reports

Article Title: EEG functional connectivity metrics wPLI and wSMI account for distinct types of brain functional interactions

doi: 10.1038/s41598-019-45289-7

Figure Lengend Snippet: ( A ) Mean whole-brain detection accuracy for all nine different relationships between the chosen source location pairings (L-R = left IPL to right MFG; R-R = right IPL to right MFG). The green vertical lines mark significant differences between wPLI and wSMI (permutation tests, p < 0.05) for each type of interaction, pairing of source locations and SNR. The brain images were plotted using the Matlab functions provided in the BBCB toolbox . ( B ) Whole-brain detection accuracy for all nine different relationships between the chosen source location pairings as a function of SNRs. Black dots at the top of each graph mark significant accuracy differences between wPLI and wSMI for each specific SNR that were observed for both intra- and inter-hemispheric conditions.

Article Snippet: The MATLAB-based (The MathWorks, Inc., Natick, Massachusetts, USA) ‘Berlin Brain Connectivity Benchmark’ (BBCB) framework was used to simulate scalp-level hd-EEG recordings (108 channels, 500 Hz, 120 s) including bivariate relationships between two cortical sources.

Techniques:

Journal: Scientific Reports

Article Title: EEG functional connectivity metrics wPLI and wSMI account for distinct types of brain functional interactions

doi: 10.1038/s41598-019-45289-7

Figure Lengend Snippet: ( A ) Mean topographic detection accuracy for all nine different relationships between the chosen source location pairings (L-R = left IPL to right MFG; R-R = right IPL to right MFG). The green vertical lines mark significant differences between wPLI and wSMI (permutation tests, p < 0.05) for each type of interaction, pairing of source locations and SNR. The brain images were plotted using the Matlab functions provided in the BBCB toolbox . ( B ) Topographic detection accuracy for all nine different relationships between the chosen source location pairings as a function of SNRs. Black dots at the top of each graph mark significant accuracy differences between wPLI and wSMI for each specific SNR that were observed for both intra- and inter-hemispheric conditions.

Article Snippet: The MATLAB-based (The MathWorks, Inc., Natick, Massachusetts, USA) ‘Berlin Brain Connectivity Benchmark’ (BBCB) framework was used to simulate scalp-level hd-EEG recordings (108 channels, 500 Hz, 120 s) including bivariate relationships between two cortical sources.

Techniques: