Improved dynamic connection detection power in estimated dynamic functional connectivity considering multivariate dependencies between brain regions

To estimate dynamic functional connectivity (dFC), the conventional method of sliding window correlation (SWC) suffers from poor performance of dynamic connection detection. This stems from the equal weighting of observations, suboptimal time scale, nonsparse output, and the fact that it is bivariat...

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Veröffentlicht in:	Human brain mapping 2020-10, Vol.41 (15), p.4264-4287
Hauptverfasser:	Maleki Balajoo, Somayeh, Asemani, Davud, Khadem, Ali, Soltanian‐Zadeh, Hamid
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Bivariate analysis Brain Brain mapping Computer simulation dynamic connection detectability dynamic functional connectivity Functional magnetic resonance imaging hypothesis testing Magnetic resonance imaging multivariate dependencies Neural networks Neuroimaging Observational weighting resting state functional magnetic resonance imaging Similarity Statistical analysis surrogate data
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