Improved accuracy of lesion to symptom mapping with multivariate sparse canonical correlations

@article{Pustina2017ImprovedAO,
  title={Improved accuracy of lesion to symptom mapping with multivariate sparse canonical correlations},
  author={Dorian Pustina and Brian B. Avants and Olufunsho K. Faseyitan and John D. Medaglia and H. Branch Coslett},
  journal={Neuropsychologia},
  year={2017},
  volume={115},
  pages={154-166}
}
Lesion to symptom mapping (LSM) is a crucial tool for understanding the causality of brain-behavior relationships. The analyses are typically performed by applying statistical methods on individual brain voxels (VLSM), a method called the mass-univariate approach. Several authors have shown that VLSM suffers from limitations that may decrease the accuracy and reliability of the findings, and have proposed the use of multivariate methods to overcome these limitations. In this study, we propose a… CONTINUE READING
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