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Lesion Network Mapping for Neurological Deficit in Acute Ischemic Stroke
Lingling Ding1,2,3, Hao Liu4, Jing Jing1,2,3
1Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Annals of Neurology
|June 14, 2023
Summary
This study maps brain lesions and network connections in acute ischemic stroke (AIS) patients. These maps identify key neuroimaging biomarkers that predict poor functional outcomes, aiding early risk detection.
Area of Science:
- Neuroscience
- Neurology
- Radiology
Background:
- Acute ischemic stroke (AIS) poses significant challenges in predicting patient outcomes.
- Identifying reliable neuroimaging biomarkers for functional prognosis is crucial for effective patient management.
Purpose of the Study:
- To create a comprehensive map of strategic lesion network localizations for neurological deficits in AIS.
- To identify prognostic neuroimaging biomarkers for predicting poor functional outcomes in AIS patients.
Main Methods:
- A large-scale multicenter study involving 7,807 AIS patients.
- Utilized voxel-based lesion-symptom mapping, functional disconnection mapping (FDC), and structural disconnection mapping (SDC).
- Assessed the predictive value of lesion and network impact scores on functional outcomes using ordinal regression.
Main Results:
- Constructed detailed lesion, FDC, and SDC maps for neurological deficits in AIS.
- Limb ataxia lesion impact score, limb deficit SDC impact score, and sensation/dysarthria FDC impact score predicted 3-month functional outcomes (modified Rankin Scale).
- Integrating these impact scores with the NIHSS score improved functional outcome prediction compared to NIHSS alone.
Conclusions:
- Developed comprehensive maps of strategic lesion network localizations predictive of functional outcomes in AIS.
- These findings offer localized targets for potential future neuromodulation therapies.
- The study highlights the utility of network-based mapping for stroke outcome prediction.
