δ-MAPS: from spatio-temporal data to a weighted and lagged network between functional domains

δ-MAPS: from spatio-temporal data to a weighted and lagged network between functional domains

Abstract In real physical systems the underlying spatial components might not have crisp boundaries and their interactions might not be instantaneous. To this end, we propose δ-MAPS; a method that identifies spatially contiguous and possibly overlapping components referred to as domains, and identif...

Full description

Bibliographic Details
Main Authors: Ilias Fountalis, Constantine Dovrolis, Annalisa Bracco, Bistra Dilkina, Shella Keilholz
Format: Article
Language:English
Published: SpringerOpen 2018-07-01
Series:Applied Network Science
Subjects:
Dimensionality reduction
Parcellation
Network inference
Climate teleconnections
Functional brain networks
Online Access:http://link.springer.com/article/10.1007/s41109-018-0078-z

Internet

http://link.springer.com/article/10.1007/s41109-018-0078-z

Similar Items