Literature DB >> 30206819

Predicting trait-like individual differences in fear of pain in the healthy state using gray matter volume.

Xiaowan Wang1, Chris Baeken2,3,4, Mengxia Fang5, Jiang Qiu1, Hong Chen1, Guo-Rong Wu6.   

Abstract

Fear of pain (FOP) can be considered as a product of evolution from overstated negative interpretations of pain and sometimes may cause more damage than the actual pain itself. While trait-like measures of FOP have emerged as predictors for the inception and development of chronic pain, its neural underpinnings are not well understood. To investigate the relationship between gray matter volumes (GMV) and trait-like individual differences in FOP, we analyzed structural magnetic resonance imaging data in a sample of healthy young adults. Regression analysis results showed that individuals with higher FOP scores displayed higher GMV in brain regions important for the regulation of pain and fear. These brain areas include the pregenual anterior cingulate cortex (ACC), the anterior part of the dorsal ACC, the dorsomedial prefrontal cortex, and the adjacent pre-supplementary motor area. Furthermore, cross-validation analysis confirmed that the identified regional GMV offered a reliable neural signature of trait-like FOP. Our findings shed more light on the neuroanatomical architecture of FOP in currently pain-free people, which may be helpful to guide early interventions to prevent FOP from becoming chronic.

Entities:  

Keywords:  Anterior cingulate cortex; Cross-validation; Dorsomedial prefrontal cortex; Fear of pain; Gray matter volume

Year:  2019        PMID: 30206819     DOI: 10.1007/s11682-018-9960-7

Source DB:  PubMed          Journal:  Brain Imaging Behav        ISSN: 1931-7557            Impact factor:   3.978


  4 in total

1.  Fear of Pain as a Predictor for Postoperative Pain Intensity among the Patients Undergoing Thoracoscopic Surgery.

Authors:  Yang Luo; Jingting He; Lihong Bao; Heng Meng; Cuihuan Hu; Quan Chen
Journal:  Pain Res Manag       Date:  2022-06-15       Impact factor: 2.667

Review 2.  Linking interindividual variability in brain structure to behaviour.

Authors:  Sarah Genon; Simon B Eickhoff; Shahrzad Kharabian
Journal:  Nat Rev Neurosci       Date:  2022-04-01       Impact factor: 38.755

Review 3.  Neuroimaging-based Individualized Prediction of Cognition and Behavior for Mental Disorders and Health: Methods and Promises.

Authors:  Jing Sui; Rongtao Jiang; Juan Bustillo; Vince Calhoun
Journal:  Biol Psychiatry       Date:  2020-02-27       Impact factor: 13.382

Review 4.  Neuroimaging-based biomarkers for pain: state of the field and current directions.

Authors:  Maite M van der Miesen; Martin A Lindquist; Tor D Wager
Journal:  Pain Rep       Date:  2019-08-07
  4 in total

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