Back to search

Article

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

2017-07-05

Abstract excerpt

<h4>ABSTRACT</h4> 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 hav...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
94485252-2856-512b-9d45-303633b252d2
DOI
10.1101/149260
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Improved accuracy of lesion to symptom mapping with multivariate sparse canonical correlationsDOI 10.1101/149260
Select a neighboring publication to make it the new centre.