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• W2737409206 abstract "Functional connectivity maps using resting-state fMRI(rs-fMRI) can closely resemble task fMRI activation patterns, suggesting that resting-state brain activity may predict task-evoked activation or behavioral performance. However, this conclusion was mostly drawn upon a healthy population. It remains unclear whether the predictive ability of resting-state brain activity for task-evoked activation would change under different pathological conditions. The present study investigated dynamic changes of coupling between patterns of resting state functional connectivity (RSFC) and motion-related activation in different stages of cerebral stroke. Twenty stroke patients with hand motor function impairment were involved. Resting-state fMRI and hand-motion related fMRI data were acquired in the acute, subacute and early chronic stages of cerebral stroke on a 3T magnetic resonance (MR) scanner. Sixteen healthy participants were enrolled as controls. For each subject, an activation map of the affected hand was first created using general-linear-model analysis on task fMRI data, and then a RSFC map was determined by seeding at the peak region of hand motion activation during the intact hand task. We then measured the extent of coupling between the RSFC maps and motion-related activation maps. Dynamic changes of the coupling between the two fMRI maps were estimated using one way repeated measures analysis of variance (ANOVA) across the three stages. Moreover, imaging parameters were correlated with motor performances. Data analysis showed that there were different coupling patterns between motion-related activation and RSFC maps associating with the affected motor regions during the acute, subacute and early chronic stages of stroke. Coupling strengths increased as the recovery from stroke progressed. Coupling strengths were correlated with hand motion performance in the acute stage, while coupling recovery was negatively correlatedwith the recovery outcome of hand motion performance in the early chronic stages. Couplings between resting-state functional connectivity and motion-related activation were dynamically changed with stroke progression, which suggested changes in the prediction of resting-state brain activity for task-evoked brain activity in different pathological states. The changes in coupling strength between these two types of brain activity implicate a reparative mechanism of brain injury and may represent a biomarker for predicting motor recovery in cerebral stroke." @default.
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• W2737409206 date "2017-07-19" @default.
• W2737409206 modified "2023-09-27" @default.
• W2737409206 title "Altered Coupling between Motion-Related Activation and Resting-State Brain Activity in the Ipsilesional Sensorimotor Cortex after Cerebral Stroke" @default.
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• W2737409206 doi "https://doi.org/10.3389/fneur.2017.00339" @default.
• W2737409206 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/5515815" @default.
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