ArticleProceedings of the National Academy of Sciences of the United States of America2021
Cognitive impairment after focal brain lesions is better predicted by damage to structural than functional network hubs.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.
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Who cites it
45 citing papers in PubMed, 76 citations in OpenAlex.
- The relevance of rich club regions for functional outcome post-stroke is enhanced in women.Human brain mapping · 2023Trial
- Frontoparietal Hub Connectivity Integrates Information from Multiple Sources.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026Article
- A clinical neuroimaging platform for rapid, automated lesion detection and personalized post-stroke outcome prediction.NPJ digital medicine · 2026Article
- Frontoparietal Hub Connectivity Integrates Information from Multiple Sources.bioRxiv : the preprint server for biology · 2026Article
- Empathy motivation is preserved following amygdala damage.Brain : a journal of neurology · 2026Article
- Neural and biomarker correlates of the Parkinson's Disease-Cognitive Rating Scale in Huntington's disease.Neuroimage. Reports · 2026Article
- Longitudinal trajectories of neurologic symptoms and cognitive associations at 36-months post-hospitalization for COVID-19.Frontiers in neurology · 2026Observational
- Causal disconnectomics of motion perception networks: insights from transcranial magnetic stimulation-induced BOLD responses.The Journal of physiology · 2026Article
- Frontoparietal Hubs Leverage Probabilistic Representations and Integrated Uncertainty to Guide Cognitive Flexibility.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Article
- Transcriptomic divergence of network hubs in the prenatal human brain.Communications biology · 2025Article
- Frontoparietal Hubs Leverage Probabilistic Representations and Integrated Uncertainty to Guide Cognitive Flexibility.bioRxiv : the preprint server for biology · 2025Article
- A deep-learning model for predicting post-stroke cognitive impairment based on brain network damage.Quantitative imaging in medicine and surgery · 2025Article
- Article
- Longitudinal brain ageing after stroke: a marker for neurodegeneration and its relevance for upper limb motor outcome.Brain communications · 2025Article
- Acute vestibular syndrome induced by supratentorial stroke: clinical features and network compensation mechanisms.Frontiers in neurology · 2025Article
- Latent dimension linking functional connectivity with post-stroke deficits across multiple domains.Brain communications · 2025Article
- White matter correlates of dissociation in a diverse sample of trauma-exposed women.Psychiatry research · 2024Article
- Edge Density Imaging Identifies White Matter Biomarkers of Late-Life Obesity and Cognition.Aging and disease · 2024Article
- Predicting Cognitive Functioning for Patients with a High-Grade Glioma: Evaluating Different Representations of Tumor Location in a Common Space.Neuroinformatics · 2024Article
- Discovering the gene-brain-behavior link in autism via generative machine learning.Science advances · 2024Article
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Authors and funding
7 authors at 3 institutions in 1 country.
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Abstract
Hubs are highly connected brain regions important for coordinating processing in brain networks. It is unclear, however, which measures of network "hubness" are most useful in identifying brain regions critical to human cognition. We tested how closely two measures of hubness-edge density and participation coefficient, derived from white and gray matter, respectively-were associated with general cognitive impairment after brain damage in two large cohorts of patients with focal brain lesions (N = 402 and 102, respectively) using cognitive tests spanning multiple cognitive domains. Lesions disrupting white matter regions with high edge density were associated with cognitive impairment, whereas lesions damaging gray matter regions with high participation coefficient had a weaker, less consistent association with cognitive outcomes. Similar results were observed with six other gray matter hubness measures. This suggests that damage to densely connected white matter regions is more cognitively impairing than similar damage to gray matter hubs, helping to explain interindividual differences in cognitive outcomes after brain damage.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.