@article{ref1,
title="Exploring the relationship between resting state intra-network connectivity and accelerometer-measured physical activity in pediatric concussion: a cohort study",
journal="Applied physiology, nutrition, and metabolism",
year="2022",
author="Timmons, Brian W. and Noseworthy, Michael D. and DeMatteo, Carol and Obeid, Joyce and Sharma, Bhanu",
volume="ePub",
number="ePub",
pages="ePub-ePub",
abstract="Our objective was to explore the association between resting state functional connectivity and accelerometer-measured physical activity in pediatric concussion. Fourteen children with concussion (aged 14.54 ± 2.39 years, 8 female) were included in this secondary data analysis of a larger study. Participants had neuroimaging at 15.3 ± 6.7 days post-injury and subsequently a mean of 11.1 ± 5.0 days of accelerometer data. Intra-network connectivity of the default mode network (DMN), sensorimotor network (SMN), salience network (SN), and fronto-parietal network (FPN) was computed using resting state functional MRI. We found that per general linear models, only intra-network connectivity of the DMN was associated with physical activity levels. More specifically, increased intra-network connectivity of the DMN was significantly associated with higher levels of subsequent accelerometer-measured light physical activity (F(2, 11) = 7.053, p = 0.011, Ra2 = 0.562; β = 0.469), moderate physical activity (F(2, 11) = 7.053, p = 0.011, Ra2 = 0.562; β = 0.725), and vigorous physical activity (F(2, 11) = 10.855, p = 0.002, Ra2 = 0.664; β = 0.79). Intra-network connectivity of the DMN did not significantly predict sedentary time. Therefore, these preliminary findings suggest that there is a positive association between the intra-network connectivity of the DMN and device-measured physical activity in children with concussion.<p /> <p>Language: en</p>",
language="en",
issn="1715-5312",
doi="10.1139/apnm-2022-0085",
url="http://dx.doi.org/10.1139/apnm-2022-0085"
}