NDLI: A method for functional network connectivity using distance correlation

Content Provider	IEEE Xplore Digital Library
Author	Rudas, J. Guaje, J. Demertzi, A. Heine, L. Tshibanda, L. Soddu, A. Laureys, S. Gomez, F.
Copyright Year	2014
Description	Author affiliation: Comput. Sci. Dept., Univ. Central, Bogota, Colombia (Gomez, F.) \|\| Comput. Sci. Dept., Univ. Nac. de Colombia, Bogota, Colombia (Rudas, J.; Guaje, J.) \|\| Cyclotron Res. Center, Univ. of Liege, Liege, Belgium (Demertzi, A.; Heine, L.; Tshibanda, L.; Laureys, S.) \|\| Phys. & Astron. Dept., Western Univ., London, ON, Canada (Soddu, A.)
Abstract	In this paper, we present a novel approach for functional network connectivity in fMRI resting activity using distance correlation. The proposed method accounts for nonlinear relationships between the resting state networks and can be used for both single subject and group level analyses. We showed that the new strategy improves the capacity of characterization of pathological populations, such as, patients with disorder of consciousness, when compared to related approaches.
Sponsorship	IEEE Eng. Med. Biol. Soc.
Starting Page	2793
Ending Page	2796
File Size	3351664
Page Count	4
File Format	PDF
ISBN	9781424479290
ISSN	1557170X
DOI	10.1109/EMBC.2014.6944203
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-08-26
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Correlation Sociology Brain Visualization Time measurement Time series analysis
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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