General functional connectivity: Shared features of resting-state and task fMRI drive reliable and heritable individual differences in functional brain networks.
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Intrinsic connectivity, measured using resting-state fMRI, has emerged as a fundamental tool in the study of the human brain. However, due to practical limitations, many studies do not collect enough resting-state data to generate reliable measures of intrinsic connectivity necessary for studying individual differences. Here we present general functional connectivity (GFC) as a method for leveraging shared features across resting-state and task fMRI and demonstrate in the Human Connectome Project and the Dunedin Study that GFC offers better test-retest reliability than intrinsic connectivity estimated from the same amount of resting-state data alone. Furthermore, at equivalent scan lengths, GFC displayed higher estimates of heritability than resting-state functional connectivity. We also found that predictions of cognitive ability from GFC generalized across datasets, performing as well or better than resting-state or task data alone. Collectively, our work suggests that GFC can improve the reliability of intrinsic connectivity estimates in existing datasets and, subsequently, the opportunity to identify meaningful correlates of individual differences in behavior. Given that task and resting-state data are often collected together, many researchers can immediately derive more reliable measures of intrinsic connectivity through the adoption of GFC rather than solely using resting-state data. Moreover, by better capturing heritable variation in intrinsic connectivity, GFC represents a novel endophenotype with broad applications in clinical neuroscience and biomarker discovery.
Magnetic Resonance Imaging
Reproducibility of Results
Published Version (Please cite this version)10.1016/j.neuroimage.2019.01.068
Publication InfoElliott, Maxwell L; Knodt, Annchen R; Cooke, Megan; Kim, M Justin; Melzer, Tracy R; Keenan, Ross; ... Hariri, Ahmad R (2019). General functional connectivity: Shared features of resting-state and task fMRI drive reliable and heritable individual differences in functional brain networks. NeuroImage, 189. pp. 516-532. 10.1016/j.neuroimage.2019.01.068. Retrieved from https://hdl.handle.net/10161/21206.
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Edward M. Arnett Distinguished Professor of Psychology and Neuroscience
Max is a clinical psychology PhD student working with Ahmad Hariri and the Moffitt & Caspi lab after completing his BS at the University of Minnesota and spending two years as a research fellow at the National Institute of Mental Health. Max is interested in further understanding the structure of mental illness through investigating the interacting relationships between genes, environment and the brain. He is particularly interested in finding ways to combine knowledge ab
Nannerl O. Keohane University Distinguished Professor
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