Functional brain networks and neuroanatomy underpinning nausea severity can predict nausea susceptibility using machine learning.

Conclusions Nausea severity relates to underlying subcortical morphology and a functional brain network in its experience; both measures are potential biomarkers in trials of anti-nausea therapies. The use of machine learning should be further investigated as an objective means to develop models predicting nausea susceptibility. This article is protected by copyright. All rights reserved.
PMID: 30629751 [PubMed - as supplied by publisher]

Source: The Journal of Physiology - January 10, 2019 Category: Physiology Authors: Ruffle JK, Patel A, Giampietro V, Howard MA, Sanger G, Andrews PLR, Williams SCR, Aziz Q, Farmer AD Tags: J Physiol Source Type: research