A Tensor Statistical Model for Quantifying Dynamic Functional Connectivity

Lecture Notes in Computer Science - Germany
doi 10.1007/978-3-319-59050-9_32
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Springer International Publishing

Related search

Cluster-Based Analysis for Characterizing Dynamic Functional Connectivity

2014English

An Average Sliding Window Correlation Method for Dynamic Functional Connectivity

Human Brain Mapping
Nuclear MedicineRadiologyUltrasound TechnologyAnatomyRadiologicalNeurologyImaging
2019English

Functional Connectivity Network Fusion With Dynamic Thresholding for MCI Diagnosis

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
2016English

Transient States of Network Connectivity Are Atypical in Autism: A Dynamic Functional Connectivity Study

Human Brain Mapping
Nuclear MedicineRadiologyUltrasound TechnologyAnatomyRadiologicalNeurologyImaging
2019English

Cluster-Permutation Statistical Analysis for High-Dimensional Brain-Wide Functional Connectivity Mapping

2019English

Statistical Analysis of a Dynamic Model for Dietary Contaminant Exposure

Journal of Biological Dynamics
EvolutionEcologySystematicsBehavior
2009English

Inferring Neuronal Functional Connectivity Using Dynamic Bayesian Networks

BMC Neuroscience
NeuroscienceCellularMolecular Neuroscience
2008English

A Method for Evaluating Dynamic Functional Network Connectivity and Task-Modulation: Application to Schizophrenia

Magnetic Resonance Materials in Physics, Biology, and Medicine
Nuclear MedicineRadiologyUltrasound TechnologyBiophysicsRadiologicalImaging
2010English

Dynamic Functional Connectivity States Characterize NREM Sleep and Wakefulness

Human Brain Mapping
Nuclear MedicineRadiologyUltrasound TechnologyAnatomyRadiologicalNeurologyImaging
2019English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy