Functional connectivity of EEG is subject-specific, associated with phenotype, and different from fMRI

NeuroImage, Journal Year: 2020, Volume and Issue: 218, P. 117001 - 117001

Published: May 31, 2020

A variety of psychiatric, behavioral and cognitive phenotypes have been linked to brain ''functional connectivity'' -- the pattern correlation observed between different regions. Most commonly assessed using functional magnetic resonance imaging (fMRI), here, we investigate connectivity-phenotype associations with connectivity measured electroencephalography (EEG), phase-coupling. We analyzed data from publicly available Healthy Brain Network Biobank. This database compiles a growing sample children adolescents, currently encompassing 1657 individuals. Among assessment instruments focus on ten phenotypic additional demographic measures that capture most variance in this sample. The largest effect sizes are found for age sex both fMRI EEG. replicate previous findings an association Intelligence Quotient (IQ) Attention Deficit Hyperactivity Disorder (ADHD) connectivity. also find socioeconomic status, anxiety Child Behavior Checklist Score. For EEG significant relationship IQ. actual spatial patterns quite source-space However, within observe clusters consistent across frequency bands. Additionally reproducibility compare obtained tasks, including resting state, video visual flicker task. variation tasks was smaller than variability subjects. increase reliability increasing EEG, increased sampling duration. conclude that, while distinct phase-coupling they nonetheless similar their robustness task, idiosyncratic predict individual phenotypes.

Language: Английский

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How Tasks Change Whole-Brain Functional Organization to Reveal Brain-Phenotype Relationships

Cell Reports, Journal Year: 2020, Volume and Issue: 32(8), P. 108066 - 108066

Published: Aug. 1, 2020

Functional connectivity (FC) calculated from task fMRI data better reveals brain-phenotype relationships than rest-based FC, but how tasks have this effect is unknown. In over 700 individuals performing seven tasks, we use psychophysiological interaction (PPI) and predictive modeling analyses to demonstrate that task-induced changes in FC successfully predict phenotype, these are not simply driven by activation. Activation, however, useful for prediction only if the in-scanner related predicted phenotype. To further characterize changes, develop apply an inter-subject PPI analysis. We find moderate, high, consistency of blood-oxygen-level-dependent (BOLD) signal across prediction. Together, findings distributed, phenotypically relevant effects on brain functional organization, they offer a framework leverage both activation reveal neural bases complex human traits, symptoms, behaviors.

Language: Английский

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Beyond fingerprinting: Choosing predictive connectomes over reliable connectomes

NeuroImage, Journal Year: 2021, Volume and Issue: 239, P. 118254 - 118254

Published: June 9, 2021

Recent years have seen a surge of research on variability in functional brain connectivity within and between individuals, with encouraging progress toward understanding the consequences this for cognition behavior. At same time, well-founded concerns over rigor reproducibility psychology neuroscience led many to question whether is sufficiently reliable, call methods improve its reliability. The thesis opinion piece that when studying connectivity-both across individuals time-we should use behavior prediction as our benchmark rather than optimize reliability own sake. We discuss theoretical empirical evidence compel perspective, both goal study stable, trait-level differences people, well state-related changes individuals. hope will be useful neuroimaging community we continue efforts characterize inter- intra-subject function build predictive models an eye eventual real-world applications.

Language: Английский

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The reliability and heritability of cortical folds and their genetic correlations across hemispheres

Communications Biology, Journal Year: 2020, Volume and Issue: 3(1)

Published: Sept. 15, 2020

Abstract Cortical folds help drive the parcellation of human cortex into functionally specific regions. Variations in length, depth, width, and surface area these sulcal landmarks have been associated with disease, may be genetically mediated. Before estimating heritability variation, extent to which metrics can reliably extracted from in-vivo MRI must established. Using four independent test-retest datasets, we found high reliability across brain (intraclass correlation interquartile range: 0.65–0.85). Heritability estimates were derived for three family-based cohorts using variance components analysis pooled (total N > 3000); overall pattern was correlated that a large population cohort (N 9000) calculated genomic complex trait analysis. Overall, width most heritable metric, earlier forming sulci showed higher heritability. The inter-hemispheric genetic correlations high, yet select incomplete pleiotropy, suggesting hemisphere-specific influences.

Language: Английский

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Striving toward translation: strategies for reliable fMRI measurement

Trends in Cognitive Sciences, Journal Year: 2021, Volume and Issue: 25(9), P. 776 - 787

Published: June 14, 2021

Language: Английский

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