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PLoS Biol. 2019 Aug 20;17(8):e3000349. doi: 10.1371/journal.pbio.3000349. eCollection 2019 Aug.

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

Author information

1
Department of Physiology, Northwestern University Feinberg School of Medicine, Chicago, Illinois, United States of America.
2
Healthcare and Life Sciences Department, IBM Watson Research Center, Yorktown Heights, New York, United States of America.
3
Department of Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, Illinois, United States of America.
4
Departments of Internal Medicine and Rheumatology, Northwestern University Feinberg School of Medicine, Chicago, Illinois, United States of America.
5
Department of Physical Medicine and Rehabilitation, Northwestern University Feinberg School of Medicine, Chicago, Illinois, United States of America.
6
Department of Anesthesia, Northwestern University Feinberg School of Medicine, Chicago, Illinois, United States of America.

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.

Conflict of interest statement

The authors have declared that no competing interests exist.

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