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Physiological and motion signatures in static and time-varying functional connectivity and their subject identifiability

Physiological and motion signatures in static and time-varying functional connectivity and their subject identifiability

Xifra-Porxas, Alba ORCID: 0000-0002-9023-2432, Kassinopoulos, Michalis and Mitsis, Georgios D (2021) Physiological and motion signatures in static and time-varying functional connectivity and their subject identifiability. eLife, 10:e62324. ISSN 2050-084X (Online) (doi:https://doi.org/10.7554/eLife.62324)

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Abstract

Human brain connectivity yields significant potential as a noninvasive biomarker. Several studies have used fMRI-based connectivity fingerprinting to characterize individual patterns of brain activity. However, it is not clear whether these patterns mainly reflect neural activity or the effect of physiological and motion processes. To answer this question, we capitalize on a large data sample from the Human Connectome Project and rigorously investigate the contribution of the aforementioned processes on functional connectivity (FC) and time-varying FC, as well as their contribution to subject identifiability. We find that head motion, as well as heart rate and breathing fluctuations, induce artifactual connectivity within distinct resting-state networks and that they correlate with recurrent patterns in time-varying FC. Even though the spatiotemporal signatures of these processes yield above-chance levels in subject identifiability, removing their effects at the preprocessing stage improves identifiability, suggesting a neural component underpinning the inter-individual differences in connectivity.

Item Type: Article
Uncontrolled Keywords: physiological processes, head motion, breathing motion, fMRI, functional connectivity, resting-state, fMRI artifacts
Subjects: B Philosophy. Psychology. Religion > BF Psychology
Faculty / School / Research Group: Faculty of Education, Health & Human Sciences
Faculty of Education, Health & Human Sciences > Department of Psychology, Social Work & Counselling
Last Modified: 09 Sep 2021 13:39
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
Selected for GREAT 2019: None
Selected for REF2021: None
URI: http://gala.gre.ac.uk/id/eprint/33812

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