ArticleNetwork neuroscience (Cambridge, Mass.)2019
Synchronization lag in post stroke: relation to motor function and structural connectivity.
Article in Network neuroscience (Cambridge, Mass.), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.
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Who cites it
14 citing papers in PubMed, 1 synthesis or guideline pooled it, 28 citations in OpenAlex.
- Effects of acupuncture on brain tissue metabolism and neurological function in patients with ischemic stroke: a systematic review and meta-analysis.Frontiers in neurologyPooled it
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- Diffusion kurtosis imaging tractography reveals disrupted white matter structural networks in children with obstructive sleep apnea syndrome.Brain imaging and behavior · 2024Article
- Overview of evidence-based research on acupuncture for stroke treatment using magnetic resonance imaging technology.Frontiers in neuroscience · 2024Review
- Brain network communication: concepts, models and applications.Nature reviews. Neuroscience · 2023Review
- Abnormal Structural Network Communication Reflects Cognitive Deficits in Schizophrenia.Brain topography · 2023Article
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- Exploring personalized structural connectomics for moderate to severe traumatic brain injury.Network neuroscience (Cambridge, Mass.) · 2023Article
- Quantitative mapping of the brain's structural connectivity using diffusion MRI tractography: A review.NeuroImage · 2022Review
- Edge-centric analysis of stroke patients: An alternative approach for biomarkers of lesion recovery.NeuroImage. Clinical · 2022Article
- Navigating the link between processing speed and network communication in the human brain.Brain structure & function · 2021Article
- BCI Training Effects on Chronic Stroke Correlate with Functional Reorganization in Motor-Related Regions: A Concurrent EEG and fMRI Study.Brain sciences · 2021Article
- Neuromechanical Biomarkers for Robotic Neurorehabilitation.Frontiers in neurorobotics · 2021Review
- Network communication models improve the behavioral and functional predictive utility of the human structural connectome.Network neuroscience (Cambridge, Mass.) · 2020Article
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Authors and funding
6 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Stroke is characterized by delays in the resting-state hemodynamic response, resulting in synchronization lag in neural activity between brain regions. However, the structural basis of this lag remains unclear. In this study, we used resting-state functional MRI (rs-fMRI) to characterize synchronization lag profiles between homotopic regions in 15 individuals (14 males, 1 female) with brain lesions consequent to stroke as well as a group of healthy comparison individuals. We tested whether the network communication efficiency of each individual's structural brain network (connectome) could explain interindividual and interregional variation in synchronization lag profiles. To this end, connectomes were mapped using diffusion MRI data, and communication measures were evaluated under two schemes: shortest paths and navigation. We found that interindividual variation in synchronization lags was inversely associated with communication efficiency under both schemes. Interregional variation in lag was related to navigation efficiency and navigation distance, reflecting its dependence on both distance and structural constraints. Moreover, severity of motor deficits significantly correlated with average synchronization lag in stroke. Our results provide a structural basis for the delay of information transfer between homotopic regions inferred from rs-fMRI and provide insight into the clinical significance of structural-functional relationships in stroke individuals.
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