ArticleNeuroImage. Clinical2022
Edge-centric analysis of stroke patients: An alternative approach for biomarkers of lesion recovery.
Article in NeuroImage. Clinical, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed, 31 citations in OpenAlex.
- Blood-brain barrier integrity and brain entropy in reversible cerebral vasoconstriction syndrome.The journal of headache and pain · 2026Article
- Sex differences in human brain dynamics assessed with edge functional connectivity.Brain imaging and behavior · 2026Article
- Transcriptional Patterns of Nodal Entropy Abnormalities in Major Depressive Disorder Patients with and without Suicidal Ideation.Research (Washington, D.C.) · 2025Article
- Altered brain network dynamics and functional connectivity in subjective cognitive decline: an edge-centric network study.Frontiers in aging neuroscience · 2025Article
- Edge-centric connectome-genetic markers of bridging factor to comorbidity between depression and anxiety.Nature communications · 2024Article
- Higher-order functional connectivity analysis of resting-state functional magnetic resonance imaging data using multivariate cumulants.Human brain mapping · 2024Article
- Edge time series components of functional connectivity and cognitive function in Alzheimer's disease.Brain imaging and behavior · 2024Article
- Generative whole-brain dynamics models from healthy subjects predict functional alterations in stroke at the level of individual patients.Brain communications · 2024Article
- Functional hierarchies in brain dynamics characterized by signal reversibility in ferret cortex.PLoS computational biology · 2024Article
- Edge-centric network control on the human brain structural network.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- Edge Time Series Components of Functional Connectivity and Cognitive Function in Alzheimer's Disease.medRxiv : the preprint server for health sciences · 2023Article
- Living on the edge: network neuroscience beyond nodes.Trends in cognitive sciences · 2023Review
- A low dimensional embedding of brain dynamics enhances diagnostic accuracy and behavioral prediction in stroke.Scientific reports · 2023Article
- Multiscale effects of excitatory-inhibitory homeostasis in lesioned cortical networks: A computational study.PLoS computational biology · 2023Article
Corrections and comments
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Authors and funding
6 authors at 4 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Most neuroimaging studies of post-stroke recovery rely on analyses derived from standard node-centric functional connectivity to map the distributed effects in stroke patients. Here, given the importance of nonlocal and diffuse damage, we use an edge-centric approach to functional connectivity in order to provide an alternative description of the effects of this disorder. These techniques allow for the rendering of metrics such as normalized entropy, which describes the diversity of edge communities at each node. Moreover, the approach enables the identification of high amplitude co-fluctuations in fMRI time series. We found that normalized entropy is associated with stroke lesion severity and continually increases across the time of patients' recovery. Furthermore, high amplitude co-fluctuations not only relate to the lesion severity but are also associated with patients' level of recovery. The current study is the first edge-centric application for a clinical population in a longitudinal dataset and demonstrates how a different perspective for functional data analysis can further characterize topographic modulations of brain dynamics.
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