Accelerated brain aging mediates the association between psychological profiles and clinical pain in knee osteoarthritis.

Chronic pain DeepBrainNet Longitudinal Psychological factors brain-PAD

Journal

The journal of pain
ISSN: 1528-8447
Titre abrégé: J Pain
Pays: United States
ID NLM: 100898657

Informations de publication

Date de publication:
10 Nov 2023
Historique:
received: 28 03 2023
revised: 12 10 2023
accepted: 02 11 2023
medline: 13 11 2023
pubmed: 13 11 2023
entrez: 12 11 2023
Statut: aheadofprint

Résumé

Chronic pain is driven by factors across the biopsychosocial spectrum. Previously, we demonstrated MRI-based brain-predicted age differences (brain-PAD: brain predicted age minus chronological age) to be significantly associated with pain severity in individuals with chronic knee pain. We also previously identified four distinct, replicable, multidimensional psychological profiles significantly associated with clinical pain. The brain aging-psychological characteristics interface in persons with chronic pain promises elucidating factors contributing to their poor health outcomes, yet this relationship is barely understood. To examine the interplay between the psychological profiles in participants having chronic knee pain impacting function (n=164), brain-PAD and clinical pain severity. Controlling for demographics and MRI scanner, we compared the brain-PAD among psychological profiles, and over two years (n=90). We also explored whether profile-related differences in pain severity were mediated by brain-PAD. Brain-PAD differed significantly between profiles (p=0.039), Profile-3 (high negative/low positive emotions; p=0.047, Bonferroni-corrected) having ~4 years higher brain-PAD than Profile-1 (low somatic reactivity) and Profile-2 (high coping; p=0.027, uncorrected). No significant change in profile-related brain-PAD differences over time was observed; but there was a significant decrease in brain-PAD (p=0.045) for Profile-4 (high optimism/high positive affect). Moreover, profile-related differences in pain severity at baseline were partly explained by brain-PAD differences between Profile 3 and 1, or 2; but brain-PAD did not significantly mediate the influence of variations in profiles on changes in pain severity over time. PERSPECTIVE: Accelerated brain aging could underlie the psychological-pain relationship, and psychological characteristics may predispose individuals with chronic knee pain to worse health outcomes via neuropsychological processes.

Identifiants

pubmed: 37952863
pii: S1526-5900(23)00612-0
doi: 10.1016/j.jpain.2023.11.006
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2023. Published by Elsevier Inc.

Auteurs

Pedro A Valdes-Hernandez (PA)

Department of Community Dentistry and Behavioral Science, University of Florida, USA; Pain Research and Intervention Center of Excellence, University of Florida, USA; Center for Cognitive Aging and Memory, McKnight Brain Institute, University of Florida, USA.

Alisa J Johnson (AJ)

Department of Community Dentistry and Behavioral Science, University of Florida, USA; Pain Research and Intervention Center of Excellence, University of Florida, USA.

Soamy Montesino-Goicolea (S)

Department of Community Dentistry and Behavioral Science, University of Florida, USA; Pain Research and Intervention Center of Excellence, University of Florida, USA; Center for Cognitive Aging and Memory, McKnight Brain Institute, University of Florida, USA.

Chavier Laffitte Nodarse (CL)

Department of Community Dentistry and Behavioral Science, University of Florida, USA; Pain Research and Intervention Center of Excellence, University of Florida, USA; Center for Cognitive Aging and Memory, McKnight Brain Institute, University of Florida, USA.

Vishnu Bashyam (V)

Center for Biomedical Image Computing & Analytics, Department of Radiology, Perelman School of Medicine, University of Pennsylvania, USA; Artificial Intelligence in Biomedical Imaging Lab (AIBIL), Department of Radiology, Perelman School of Medicine, University of Pennsylvania, USA.

Christos Davatzikos (C)

Center for Biomedical Image Computing & Analytics, Department of Radiology, Perelman School of Medicine, University of Pennsylvania, USA.

Roger B Fillingim (RB)

Department of Community Dentistry and Behavioral Science, University of Florida, USA; Pain Research and Intervention Center of Excellence, University of Florida, USA.

Yenisel Cruz-Almeida (Y)

Department of Community Dentistry and Behavioral Science, University of Florida, USA; Pain Research and Intervention Center of Excellence, University of Florida, USA; Center for Cognitive Aging and Memory, McKnight Brain Institute, University of Florida, USA; Department of Neuroscience, College of Medicine, University of Florida, USA. Electronic address: cryeni@ufl.edu.

Classifications MeSH