Accounting for Non-Gaussian Sources of Spatial Correlation in Parametric Functional Magnetic Resonance Imaging Paradigms I: Revisiting Cluster-Based Inferences-Reference-Cited by-同舟云学术

Accounting for Non-Gaussian Sources of Spatial Correlation in Parametric Functional Magnetic Resonance Imaging Paradigms I: Revisiting Cluster-Based Inferences

Published:2018-02 Issue:1 Volume:8 Page:1-9
ISSN:2158-0014
Container-title:Brain Connectivity
language:en
Short-container-title:Brain Connectivity

Author:

Gopinath Kaundinya¹,Krishnamurthy Venkatagiri¹,Sathian K.²³⁴⁵

Affiliation:

1. Department of Radiology and Imaging Sciences, Emory University, Atlanta, Georgia.

2. Department of Neurology, Emory University, Atlanta, Georgia.

3. Department of Rehabilitation Medicine, Emory University, Atlanta, Georgia.

4. Department of Psychology, Emory University, Atlanta, Georgia.

5. Rehabilitation R&D Center for Visual and Neurocognitive Rehabilitation, Atlanta VAMC, Decatur, Georgia.

Publisher

Mary Ann Liebert Inc

Subject

General Neuroscience

Link

http://www.liebertpub.com/doi/pdf/10.1089/brain.2017.0521

Reference31 articles.

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3. Introduction to Functional Magnetic Resonance Imaging

4. A new class of semiparametric semivariogram and nugget estimators

5. Influence of heart rate on the BOLD signal: The cardiac response function

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