Evidence map›Paper›PMID 40316037›Full record

ArticleThe journal of pain2025

Chronic pain is associated with greater brain entropy in the prefrontal cortex.

Gianpaolo Del Mauro, Yiran Li, Jiaao Yu, Peter Kochunov, Landrew Samuel Sevel, Jeff Boissoneault, Shuo Chen, Ze Wang

Abstract read
In one paragraph

Article in The journal of pain, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Resting state fMRI-based temporal coherence mapping.Imaging neuroscience (Cambridge, Mass.) · 2025
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Gianpaolo Del MauroDepartment of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, MD, USA. Electronic address: gdelmauro@som.umaryland.edu.
Yiran LiDepartment of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, MD, USA.
Jiaao YuDepartment of Mathematics, University of Maryland College Park, Baltimore, MD, USA.
Peter KochunovDepartment of Psychiatry and Behavioral Sciences, University of Texas Health Science Center at Houston, Houston, TX, USA.
Landrew Samuel SevelDepartment of Anesthesiology, University of Minnesota, Minneapolis, MN, USA.
Jeff BoissoneaultDepartment of Anesthesiology, University of Minnesota, Minneapolis, MN, USA.
Shuo ChenDivision of Biostatistics and Bioinformatics, Department of Public Health and Epidemiology, University of Maryland School of Medicine, Baltimore, MD, USA.
Ze WangDepartment of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, MD, USA. Electronic address: ze.wang@som.umaryland.edu.

Funding

QAQC Johns Hopkins Institute for Clinical and Translational ResearchUL1TR003098 · NCATS · JOHNS HOPKINS UNIVERSITY · PI FORD, DANIEL ERNEST · 2019 to 2023
$57.7M
SOLAR-Eclipse Computational Tools for Imaging GeneticsR01EB015611 · NIBIB · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI KOCHUNOV, PETER V. · 2012 to 2024
$5.0M
Towards Multisystem-Brain Successful Aging in Schizophrenia SpectrumR01MH116948 · NIMH · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI HONG, L ELLIOT ELLIOT · 2018 to 2022
$3.7M
Diversity Supplement to Brain entropy mapping in Alzheimer's DiseaseR01AG070227 · NIA · UNIVERSITY OF MARYLAND BALTIMORE · PI WANG, ZE · 2021 to 2024
$2.5M
Deep-Learning Enhanced ASL MRI For Early AD AssessmentR01AG081693 · NIA · UNIVERSITY OF MARYLAND BALTIMORE · PI Ze Wang · 2024 to 2026
$2.3M
The Vascular Axis in Schizophrenia Brain-Body AgingR01MH133812 · NIMH · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI L Elliot Elliot Hong · 2024 to 2026
$2.2M
Redefine Trans-Neuropsychiatric Disorder Brain Patterns through Big-Data and Machine LearningRF1MH123163 · NIMH · UNIVERSITY OF MARYLAND BALTIMORE · PI KOCHUNOV, PETER V., THOMPSON, PAUL M · 2021 to 2021
$1.2M
Lifespan Vascular Biology on White MatterR01NS114628 · NINDS · UNIVERSITY OF MARYLAND BALTIMORE · PI HONG, L ELLIOT ELLIOT, KOCHUNOV, PETER V. · 2024 to 2024
$770k
Hybrid GPU/CPU Computing Resource to Support Connectomic and GenomicsS10OD023696 · OD · UNIVERSITY OF MARYLAND BALTIMORE · PI KOCHUNOV, PETER V. · 2018 to 2018
$593k
Automated Quality Evaluation and Harmonization for Multisite ASL MRI DataR21AG080518 · NIA · UNIVERSITY OF PENNSYLVANIA · PI DOLUI, SUDIPTO, WANG, ZE · 2023 to 2024
$453k
Assessing chronic pain using brain entropy mappingR21AG082345 · NIA · UNIVERSITY OF MARYLAND BALTIMORE · PI WANG, ZE · 2022 to 2022
$442k
NCATS NIH HHS UL1 TR003098NIA NIH HHS R01 AG070227NIA NIH HHS R01 AG081693NIA NIH HHS R21 AG080518NIA NIH HHS R21 AG082345NIBIB NIH HHS R01 EB015611NIH HHS S10 OD023696NIMH NIH HHS R01 MH116948NIMH NIH HHS R01 MH133812NIMH NIH HHS RF1 MH123163NINDS NIH HHS R01 NS114628
6 · The paper itself

Abstract

Chronic pain is a debilitating clinical condition and a severe public health issue that demands to be addressed. Neuroimaging-based techniques have been widely adopted to investigate the neural underpinnings of chronic pain. Despite the efforts the complex nature of pain experience as well as the heterogeneity of chronic pain have made the identification of neuroimaging-based biomarkers extremely challenging. In this study, resting-state fMRI-based brain entropy, a measure reflecting the "irregularity" of brain activity, was adopted as a biomarker of chronic pain by comparing individuals with chronic pain and healthy controls in a sample of middle-to-old-age participants (n > 30,000) drawn from the UK Biobank database. Abnormal brain entropy is associated with altered brain dynamics and may serve as a potential marker of disrupted pain processing in individuals with chronic pain. Compared to healthy controls, individuals with chronic pain exhibited increased brain entropy in a broad set of regions including the frontal, temporal, and occipital lobes, as well as the cerebellum. In addition, individuals with a more distributed chronic pain showed increased brain entropy in occipital lobes. When examining distinct types of chronic pain individually, only participants with headache and pain all over the body showed brain entropy differences compared to a matched sample of healthy controls. PERSPECTIVE: This article investigates the neural substrates of chronic pain using brain entropy, a measure of the randomness and irregularity of brain activity. This measure could potentially aid in the assessment and treatment of chronic pain.

Indexed as

Chronic PainPrefrontal CortexAdultAgedEntropyFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedBrain entropyChronic painFibromyalgiaHeadacheResting-state fMRI

Identifiers

PMID40316037
PMCPMC12414511

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.