Back to search

Article

Gray matter cortical thickness predicts individual pain sensitivity: a multi-center machine learning approach

2022-06-16

Abstract excerpt

Pain sensitivity is known to considerably vary across individuals. While the variability in pain has been linked to structural neural correlates, it is still unclear how well these findings replicate in independent data and whether they are powerful enough to provide reliable pain sensitivity predictions on the individual level. In this study, we constructed a predictive model of pain sensitivity utilising structu...

Topics

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

Identifiers and source

Literature Corpus work
673df600-9e2c-5982-86de-af1dbbe2c928
DOI
10.1101/2022.06.14.496092
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.
Gray matter cortical thickness predicts individual pain sensitivity: a multi-center machine learning approachDOI 10.1101/2022.06.14.496092
Select a neighboring publication to make it the new centre.