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Functional brain networks reflect spatial and temporal autocorrelation

Shinn, Maxwell; Hu, Amber; Turner, Laurel; Noble, Stephanie; Preller, Katrin H; Ji, Jie Lisa; Moujaes, Flora; ... Murray, John D; + view all (2023) Functional brain networks reflect spatial and temporal autocorrelation. Nature Neuroscience , 26 (5) pp. 867-878. 10.1038/s41593-023-01299-3. Green open access

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Abstract

High-throughput experimental methods in neuroscience have led to an explosion of techniques for measuring complex interactions and multi-dimensional patterns. However, whether sophisticated measures of emergent phenomena can be traced back to simpler, low-dimensional statistics is largely unknown. To explore this question, we examined resting-state functional magnetic resonance imaging (rs-fMRI) data using complex topology measures from network neuroscience. Here we show that spatial and temporal autocorrelation are reliable statistics that explain numerous measures of network topology. Surrogate time series with subject-matched spatial and temporal autocorrelation capture nearly all reliable individual and regional variation in these topology measures. Network topology changes during aging are driven by spatial autocorrelation, and multiple serotonergic drugs causally induce the same topographic change in temporal autocorrelation. This reductionistic interpretation of widely used complexity measures may help link them to neurobiology.

Type: Article
Title: Functional brain networks reflect spatial and temporal autocorrelation
Location: United States
Open access status: An open access version is available from UCL Discovery
DOI: 10.1038/s41593-023-01299-3
Publisher version: http://dx.doi.org/10.1038/s41593-023-01299-3
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology > Department of Neuromuscular Diseases
URI: https://discovery.ucl.ac.uk/id/eprint/10190668
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