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Dynamic functional network connectivity using distance correlation
Rudas, Jorge; Guaje, Javier; Demertzi, Athina et al.
2015In Progress in Biomedical Optics and Imaging: SPIE Proceedings Series, 9287
Peer reviewed
 

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Keywords :
Disorders of consciousness; Dynamical functional network connectivity; Resting state networks; Windowed distance correlation; Bioinformatics; Brain; Information science; Magnetic resonance imaging; Communication mechanisms; Coordination mechanisms; Functional connectivity; Functional magnetic resonance imaging; Functional network; Non-linear relationships; Resting state; Dynamics
Abstract :
[en] Investigations about the intrinsic brain organization in resting-state are critical for the understanding of healthy, pathological and pharmacological cerebral states. Recent studies on fMRI suggest that resting state activity is organized on large scale networks of coordinated activity, in the so called, Resting State Networks (RSNs). The assessment of the interactions among these functional networks plays an important role for the understanding of different brain pathologies. Current methods to quantify these interactions commonly assume that the underlying coordination mechanisms are stationary and linear through the whole recording of the resting state phenomena. Nevertheless, recent evidence suggests that rather than stationary, these mechanisms may exhibit a rich set of time-varying repertoires. In addition, these approaches do not consider possible non-linear relationships maybe linked to feed-back communication mechanisms between RSNs. In this work, we introduce a novel approach for dynamical functional network connectivity for functional magnetic resonance imaging (fMRI) resting activity, which accounts for non-linear dynamic relationships between RSNs. The proposed method is based on a windowed distance correlations computed on resting state time-courses extracted at single subject level. We showed that this strategy is complementary to the current approaches for dynamic functional connectivity and will help to enhance the discrimination capacity of patients with disorder of consciousness. © 2015 SPIE.
Disciplines :
Neurosciences & behavior
Author, co-author :
Rudas, Jorge;  Computer Science Department, National University, Colombia
Guaje, Javier;  Computer Science Department, National University, Colombia
Demertzi, Athina  ;  Université de Liège - ULiège > Centre de recherches du cyclotron
Heine, Lizette ;  Université de Liège - ULiège > Centre de recherches du cyclotron
TSHIBANDA, Luaba ;  Centre Hospitalier Universitaire de Liège - CHU > Service médical de radiodiagnostic
Soddu, Andrea ;  Université de Liège - ULiège > Centre de recherches du cyclotron
Laureys, Steven  ;  Université de Liège - ULiège > GIGA : Coma Group
Gómez, Francisco;  Computer Science Department, Central University, Costado Norte, Cra. 5 N. 21-38, Bogotá, Colombia
Language :
English
Title :
Dynamic functional network connectivity using distance correlation
Publication date :
2015
Event name :
10th International Symposium on Medical Information Processing and Analysis
Event date :
14 October 2014 through 16 October 2014
Audience :
International
Journal title :
Progress in Biomedical Optics and Imaging: SPIE Proceedings Series
ISSN :
1605-7422
eISSN :
2410-9045
Publisher :
SPIE
Volume :
9287
Peer reviewed :
Peer reviewed
Funders :
ASE - Agence Spatiale Européenne [FR]
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since 07 July 2020

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