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T1  - Markov Model-Based Method to Analyse Time-Varying Networks in EEG Task-Related Data 
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UR  - http://hdl.handle.net/10138/298721 
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A1  - Williams, Nitin; Daly, Ian; Nasuto, Slawomir 
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PB  -  
Y1  - 2018 
LA  - eng 
AB  - The dynamic nature of functional brain networks is being increasingly recognized in cognitive neuroscience, and methods to analyse such time-varying networks in EEG/MEG data are required. In this work, we propose a pipeline to characterize time-varying networks in single-subject EEG task-related data and further, evaluate its validity on both simulated and experimental datasets. Pre-processing is done to remove channel-wise and trial-wise differences in activity. Functional networks are estimate... 
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KW  - 112 Statistics and probability; 113 Computer and information sciences; 1184 Genetics, developmental biology, physiology 
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