Evidence map›Paper›PMID 40839664›Full record

ArticlePain2025

Spontaneous pain dynamics characterized by stochasticity in neural recordings of awake humans with chronic pain.

Jihye Ryu, Jonathan C Kao, Ausaf Bari

Abstract read
In one paragraph

Article in Pain, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. 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

3 authors.

Jihye RyuDepartment of Neurosurgery, David Geffen School of Medicine at the University of California Los Angeles, Los Angeles, CA, United States.ORCID 0000-0002-4073-8099
Jonathan C KaoDepartment of Electrical and Computer Engineering, University of California Los Angeles, Los Angeles, CA, United States.
Ausaf BariDepartment of Neurosurgery, David Geffen School of Medicine at the University of California Los Angeles, Los Angeles, CA, United States.

Funding

Training in Neurotechnology TranslationT32NS115753 · NINDS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI LU, DANIEL, MARKOVIC, DEJAN · 2020 to 2024
$1.2M
NINDS NIH HHS T32 NS115753
6 · The paper itself

Abstract

abstractChronic pain is characterized by spontaneous fluctuations in pain intensity, a phenomenon that remains poorly understood. The aim of this study is to elucidate the neural mechanisms underlying pain fluctuations in patients with chronic pain undergoing deep brain stimulation surgery. We recorded local field potentials (LFPs) from pain-processing hub structures, including the ventral posteromedial nucleus of the thalamus, subgenual cingulate cortex, and periventricular and periaqueductal gray, while patients continuously reported their pain levels. Using novel auto-mutual information metrics to analyze LFP stochastic patterns, we found that pain intensity correlated with both increased regularity of spike-like events and greater past-dependency of neural oscillations in the 4- to 15-Hz frequency band. In addition, during periods of higher pain states, we observed enhanced functional connectivity between the examined hub structures and the prefrontal cortex, suggesting a more focused flow of pain-related information within the pain circuit. By characterizing the dynamic nature of pain fluctuations, this study bridges the gap in understanding moment-to-moment pain variations and their underlying neural mechanisms, paving the way for improved chronic pain management strategies.

Indexed as

BrainChronic PainWakefulnessAdultDeep Brain StimulationFemaleHumansMaleMiddle AgedPain MeasurementStochastic ProcessesChronic painDeep brain stimulationElectrophysiologyInformation theoryLocal field potential

Identifiers

PMID40839664
PMCPMC12353301

What OpenQuestion holds

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Registered trials

None linked

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.