Factors affecting characterization and localization of interindividual differences in functional connectivity using MRI

Author:

Airan Raag D.1,Vogelstein Joshua T.23,Pillai Jay J.1,Caffo Brian4,Pekar James J.15,Sair Haris I.1

Affiliation:

1. Russell H. Morgan Department of Radiology and Radiological Science; School of Medicine, Johns Hopkins Medical Institutions; Baltimore Maryland

2. Department of Biomedical Engineering; Johns Hopkins University; Baltimore Maryland

3. Institute for Computational Medicine, Johns Hopkins University; Baltimore Maryland

4. Department of Biostatistics; Johns Hopkins University; Baltimore Maryland

5. F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute; Baltimore Maryland

Funder

National Institutes of Health

Defense Advanced Research Projects Agency (DARPA) GRAPHS

Publisher

Wiley

Subject

Clinical Neurology,Neurology,Radiology Nuclear Medicine and imaging,Radiological and Ultrasound Technology,Anatomy

Reference35 articles.

1. Tracking whole-brain connectivity dynamics in the resting state;Allen;Cereb Cortex,2014

2. Complex biomarker discovery in neuroimaging data: Finding a needle in a haystack;Atluri;Neuroimage (Amst),2013

3. Resting-state functional MR imaging: A new window to the brain;Barkhof;Radiology,2014

4. A component based noise correction method (CompCor) for BOLD and perfusion based fMRI;Behzadi;Neuroimage,2007

5. The effect of scan length on the reliability of resting-state fMRI connectivity estimates;Birn;Neuroimage,2013

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