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Updated: Jun 26, 2026
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Brain Infarct Segmentation and Registration on MRI or CT for Lesion-symptom Mapping
Published on: September 25, 2019
Post-stroke cognitive impairment: More than a lesion-symptom model.
Hanne Huygelier1,2, Margaret Jane Moore3, Annick Odom1
1Brain and Cognition, Leuven Brain Institute, KU Leuven, Leuven, Belgium.
Imaging Neuroscience (Cambridge, Mass.)
|June 25, 2026
Summary
This study reveals distinct cognitive profiles after stroke, showing that lesion location and volume, alongside patient health, shape these patterns. Understanding these profiles is key for predicting and improving post-stroke cognitive recovery.
Area of Science:
- Neuropsychology
- Neurology
- Cognitive Neuroscience
Background:
- Traditional research links specific brain lesions to isolated cognitive deficits.
- Post-stroke cognitive impairments (PSCI) often present as complex, multi-domain patterns, not isolated deficits.
- Existing models struggle to capture the nuanced relationship between brain damage and cognitive outcomes.
Purpose of the Study:
- To use multivariate analysis to identify distinct cognitive profiles in post-stroke patients.
- To determine the association between these cognitive profiles and lesion anatomy.
- To explore the influence of general brain health and demographics on cognitive profiles.
Main Methods:
- Latent Class Analysis (LCA) applied to cognitive screening data from 2172 stroke patients.
- Voxel-level and network-level lesion mapping to identify lesion correlates.
- Investigation of associations with brain health metrics and demographics.
Main Results:
- Two viable cognitive class solutions emerged: a 5-class and a 13-class model.
- The 5-class model identified classic lateralized deficits and global impairment.
- The 13-class model offered finer differentiation, linking non-lateralized profiles to premorbid factors; lesion anatomy alone was insufficient to explain distinctions.
- Lesion location was predictive in hyper-acute stages, while lesion volume became more influential by two weeks post-stroke.
Conclusions:
- A novel, multivariate framework for understanding PSCI is proposed.
- Cognitive profiles are shaped by a combination of lesion characteristics, brain health, and demographics.
- These findings provide a foundation for improved clinical care and prediction of cognitive trajectories post-stroke.
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