Classification and characterisation of brain network changes in chronic back pain: A multicenter study.

ABSTRACT: Background. Chronic pain is a common, often disabling condition thought to involve a combination of peripheral and central neurobiological factors. However, the extent and nature of changes in the brain is poorly understood. Methods. We investigated brain network architecture using resting-state fMRI data in chronic back pain patients in the UK and Japan (41 patients, 56 controls), as well as open data from USA. We applied machine learning and deep learning (conditional variational autoencoder architecture) methods to explore classification of patients/controls based on network connectivity. We then studied the network topology of the data, and developed a multislice modularity method to look for consensus evidence of modular reorganisation in chronic back pain. Results.</

SUBMITTER: Mano H 

PROVIDER: S-EPMC5930551 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature