ArticleJournal of neuroscience research2024
Divergent association between pain intensity and resting-state fMRI-based brain entropy in different age groups.
Article in Journal of neuroscience research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Resting-State Brain Entropy Reveals Altered Neural Dynamics and Cognitive Associations in Mild Traumatic Brain Injury: A Longitudinal Study.Journal of neuroscience research · 2026Article
- Consistent Brain Entropy Changes During Rumination Across Three Magnetic Resonance Imaging Scanners.Neural plasticity · 2026Article
- Brain entropy as a biomarker of major depression in adolescents and young adults: insights from multimodal resting-state functional magentic resonance imaging.Psychoradiology · 2026Article
- Chronic pain is associated with greater brain entropy in the prefrontal cortex.The journal of pain · 2025Article
- Normative Brain Entropy Across the Lifespan.bioRxiv : the preprint server for biology · 2025Article
- Resting state fMRI-based temporal coherence mapping.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Global brain connectivity: Test-retest stability and association with biological and neurocognitive variables.Journal of neuroscience methods · 2024Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
Pain is a multidimensional subjective experience sustained by multiple brain regions involved in different aspects of pain experience. We used brain entropy (BEN) estimated from resting-state fMRI (rsfMRI) data to investigate the neural correlates of pain experience. BEN was estimated from rs-fMRI data provided by two datasets with different age range: the Human Connectome Project-Young Adult (HCP-YA) and the Human Connectome project-Aging (HCP-A) datasets. Retrospective assessment of experienced pain intensity was retrieved from both datasets. No main effect of pain intensity was observed. The interaction between pain and age, however, was related to increased BEN in several pain-related brain regions, reflecting greater variability of spontaneous brain activity. Dividing the sample into a young adult group (YG) and a middle age-aging group (MAG) resulted in two divergent patterns of pain-BEN association: In the YG, pain intensity was related to reduced BEN in brain regions involved in the sensory processing of pain; in the MAG, pain was associated with increased BEN in areas related to both sensory and cognitive aspects of pain experience.
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