Group Surrogate Data Generating Models and similarity quantification of multivariate time-series: A resting-state fMRI study

Group Surrogate Data Generating Models and similarity quantification of multivariate time-series: A resting-state fMRI study

Advancements in non-invasive brain analysis through novel approaches such as big data analytics and in silico simulation are essential for explaining brain function and associated pathologies. In this study, we extend the vector auto-regressive surrogate technique from a single multivariate time-ser...

Full description

Bibliographic Details
Main Authors: Takuto Okuno, Junichi Hata, Yawara Haga, Kanako Muta, Hiromichi Tsukada, Ken Nakae, Hideyuki Okano, Alexander Woodward
Format: Article
Language:English
Published: Elsevier 2023-10-01
Series:NeuroImage
Subjects:
Resting-state fMRI
Group Surrogate Data Generating Model
Multivariate Time-series Ensemble Similarity Score
Vector Auto-Regressive Deep Neural Network
Marmoset
State transition analysis
Online Access:http://www.sciencedirect.com/science/article/pii/S1053811923004809

Internet

http://www.sciencedirect.com/science/article/pii/S1053811923004809

Similar Items