ArticleBioMed research international2017
Functional Activation-Informed Structural Changes during Stroke Recovery: A Longitudinal MRI Study.
Article in BioMed research international, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Sex-Specific Adaptations in Alzheimer's Disease and Ischemic Stroke: A Longitudinal Study in Male and Female APPLife (Basel, Switzerland) · 2025Article
- Variation in brain connectivity during motor imagery and motor execution in stroke patients based on electroencephalography.Frontiers in neuroscience · 2024Article
- Cerebral Hemodynamic Changes during Unaffected Handgrip Exercises in Stroke Patients: An fNIRS Study.Brain sciences · 2023Article
- The Impact of Voluntary Exercise on Stroke Recovery.Frontiers in neuroscience · 2021Article
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Authors and funding
6 authors.
Funding
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Abstract
objectiveNeuroimaging studies revealed the functional reorganization or the structural changes during stroke recovery. However, previous studies did not combine the functional and structural information and the results might be affected by heterogeneous lesion. This study aimed to investigate functional activation-informed structural changes during stroke recovery.
methodsMRI data of twelve stroke patients were collected at four consecutive time points during the first 3 months after stroke onset. Functional activation during finger-tapping task was used to inform the analysis of structural changes of activated brain regions. Correlation between structural changes in motor-related activated brain regions and motor function recovery was estimated.
resultsThe averaged gray matter volume (aGMV) of contralesional activated brain regions and laterality index of gray matter volume (LI
conclusionThis study demonstrated that combining the stroke-induced functional reorganization and structural change provided new insights into the underlying innate plasticity process during stroke recovery. SIGNIFICANCE: This study proposed a new approach to integrate functional and structural information for investigating the innate plasticity after stroke.
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