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Cortical structure reorganization and correlation with attention deficit in subcortical stroke: An underlying pattern
Jingchun Liu1, Caihong Wang2, Yujie Zhang1
1Departments of Radiology, Tianjin Key Laboratory of Functional Imaging & Tianjin Institute of Radiology, Tianjin Medical University General Hospital, Tianjin 300052, China.
Neuroimage. Clinical
|May 1, 2024
Summary
Subcortical stroke impacts attention by altering brain structure. The supramarginal gyrus surface area changes may serve as a key biomarker for attention deficits after stroke.
Area of Science:
- Neuroscience
- Neuroimaging
- Stroke Research
Background:
- Subcortical stroke can alter cerebral cortical structure and affect attention function.
- The precise neural mechanisms underlying attention impairment post-stroke are not fully understood.
Purpose of the Study:
- To investigate the neural substrates of attention impairment in patients with subcortical stroke.
- To identify imaging biomarkers for attention deficits.
Main Methods:
- Prospective observational study using two datasets: cross-sectional (86 subcortical stroke patients) and longitudinal (108 stroke patients).
- Cortical structure analysis including thickness and surface area.
- Statistical analyses corrected for false discovery rate (P < 0.05).
Main Results:
- Stroke patients showed poorer attention function compared to controls.
- Decreased cortical thickness (precentral gyrus) and surface area (cuneus) were observed in stroke patients.
- Attention deficits correlated positively with superior frontal gyrus thickness and supramarginal gyrus surface area.
- Longitudinal data revealed structural reorganization and a positive correlation between attention and supramarginal gyrus surface area.
Conclusions:
- Subcortical stroke induces dynamic cortical reorganization linked to attention deficits.
- Altered supramarginal gyrus surface area is a potential neuroimaging biomarker for attention deficits post-stroke.
Keywords:
Attention deficitCerebral infarctionCortical structureMagnetic resonance imagingNeuroimaging biomarkers
