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 Bioljournal_title
PLoS biologyauthors
Vachon-Presseau E,Berger SE,Abdullah TB,Griffith JW,Schnitzer TJ,Apkarian AVdoi
10.1371/journal.pbio.3000349subject
Has Abstractpub_date
2019-08-20 00:00:00pages
e3000349issue
8eissn
1544-9173issn
1545-7885pii
PBIOLOGY-D-18-01201journal_volume
17pub_type
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