Identification of traits and functional connectivity-based neurotraits of chronic pain.

Abstract:

:Psychological and personality factors, socioeconomic status, and brain properties all contribute to chronic pain but have essentially been studied independently. Here, we administered a broad battery of questionnaires to patients with chronic back pain (CBP) and collected repeated sessions of resting-state functional magnetic resonance imaging (fMRI) brain scans. Clustering and network analyses applied on the questionnaire data revealed four orthogonal dimensions accounting for 56% of the variance and defining chronic pain traits. Two of these traits-Pain-trait and Emote-trait-were associated with back pain characteristics and could be related to distinct distributed functional networks in a cross-validation procedure, identifying neurotraits. These neurotraits showed good reliability across four fMRI sessions acquired over five weeks. Further, traits and neurotraits all related to the income, emphasizing the importance of socioeconomic status within the personality space of chronic pain. Our approach is a first step in providing metrics aimed at unifying the psychology and the neurophysiology of chronic pain applicable across diverse clinical conditions.

journal_name

PLoS Biol

journal_title

PLoS biology

authors

Vachon-Presseau E,Berger SE,Abdullah TB,Griffith JW,Schnitzer TJ,Apkarian AV

doi

10.1371/journal.pbio.3000349

subject

Has Abstract

pub_date

2019-08-20 00:00:00

pages

e3000349

issue

8

eissn

1544-9173

issn

1545-7885

pii

PBIOLOGY-D-18-01201

journal_volume

17

pub_type

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