ArticleFrontiers in neurology2015
A Thalamic-Fronto-Parietal Structural Covariance Network Emerging in the Course of Recovery from Hand Paresis after Ischemic Stroke.
Article in Frontiers in neurology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 13 citations in OpenAlex.
- Exploring Gray Matter Alterations in Post-Stroke Patients: A Structural Covariance Analysis.Brain and behavior · 2026Article
- Deep grey nuclei automated assessment in acute-subacute phase of middle cerebral artery cortical stroke helps predict the 3-month outcome.Brain imaging and behavior · 2026Article
- Alterations via inter-regional connective relationships in Alzheimer's disease.Frontiers in human neuroscience · 2023Article
- Structural Covariance of the Ipsilesional Primary Motor Cortex in Subcortical Stroke Patients with Motor Deficits.Neural plasticity · 2022Article
- Automated MRI-based volumetry of basal ganglia and thalamus at the chronic phase of cortical stroke.Neuroradiology · 2020Article
- Degeneration of structural brain networks is associated with cognitive decline after ischaemic stroke.Brain communications · 2020Article
- Structural covariance in subcortical stroke patients measured by automated MRI-based volumetry.NeuroImage. Clinical · 2019Article
- Motor dexterity and strength depend upon integrity of the attention-control system.Proceedings of the National Academy of Sciences of the United States of America · 2018Article
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Authors and funding
8 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
aimTo describe structural covariance networks of gray matter volume (GMV) change in 28 patients with first-ever stroke to the primary sensorimotor cortices, and to investigate their relationship to hand function recovery and local GMV change.
methodsTensor-based morphometry maps derived from high-resolution structural images were subject to principal component analyses to identify the networks. We calculated correlations between network expression and local GMV change, sensorimotor hand function and lesion volume. To verify which of the structural covariance networks of GMV change have a significant relationship to hand function, we performed an additional multivariate regression approach.
resultsExpression of the second network, explaining 9.1% of variance, correlated with GMV increase in the medio-dorsal (md) thalamus and hand motor skill. Patients with positive expression coefficients were distinguished by significantly higher GMV increase of this structure during stroke recovery. Significant nodes of this network were located in md thalamus, dorsolateral prefrontal cortex, and higher order sensorimotor cortices. Parameter of hand function had a unique relationship to the network and depended on an interaction between network expression and lesion volume. Inversely, network expression is limited in patients with large lesion volumes.
conclusionChronic phase of sensorimotor cortical stroke has been characterized by a large scale co-varying structural network in the ipsilesional hemisphere associated specifically with sensorimotor hand skill. Its expression is related to GMV increase of md thalamus, one constituent of the network, and correlated with the cortico-striato-thalamic loop involved in control of motor execution and higher order sensorimotor cortices. A close relation between expression of this network with degree of recovery might indicate reduced compensatory resources in the impaired subgroup.
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