Analysis of Optical Brain Signals Using Connectivity Graph Networks

@inproceedings{PintoOrellana2020AnalysisOO,
  title={Analysis of Optical Brain Signals Using Connectivity Graph Networks},
  author={Marco Antonio Pinto-Orellana and Hugo Lewi Hammer},
  booktitle={CD-MAKE},
  year={2020}
}
Graph network analysis (GNA) showed a remarkable role for understanding brain functions, but its application is mainly narrowed to fMRI research. Connectivity analysis (CA) is introduced as a signal-to-graph mapping in a time-causality framework. In this paper, we investigate the application of GNA/CA in fNIRS. To solve the inherent challenges of using CA, we also propose a novel metric: a maximum cross-lag magnitude (MCLM) that efficiently extracts major causality information. We tested MCLM… 
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