Evidence map›Paper›PMID 41867402›Full record

ArticleFractal and fractional2023

Association between opioid dependence and scale free fractal brain activity: an EEG study.

Parikshat Sirpal, William A Sikora, Desiree R Azizoddin, Hazem H Refai, Yuan Yang

Abstract read
In one paragraph

Article in Fractal and fractional, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Parikshat SirpalUniversity of Oklahoma, School of Electrical and Computer Engineering, Gallogly College of Engineering, Norman, Oklahoma, United States.
William A SikoraUniversity of Oklahoma, Stephenson School of Biomedical Engineering, Tulsa, Oklahoma, United States.
Desiree R AzizoddinTSET Health Promotion Research Center, Stephenson Cancer Center, University of Oklahoma Health Sciences Center, Oklahoma City, OK 73104, USA.
Hazem H RefaiUniversity of Oklahoma, School of Electrical and Computer Engineering, Gallogly College of Engineering, Norman, Oklahoma, United States.
Yuan YangUniversity of Illinois Urbana-Champaign, Department of Bioengineering, Urbana, Illinois, United States.

Funding

American Heart Association-American Stroke Association 932980
6 · The paper itself

Abstract

Self-similarities at different time scales embedded within a self-organizing neural manifold are well recognized. In this study, we hypothesize that the Hurst fractal dimension (HFD) of the scalp electroencephalographic (EEG) signal reveals statistical differences between chronic pain and opioid use. We test this hypothesis by using EEG resting state signals acquired from a total of 23 human subjects: 14 with chronic pain, 9 with chronic pain taking opioid medications, 5 with chronic pain and not taking opioid medications, and 9 healthy controls. Using the multifractal analysis algorithm, the HFD for full spectrum EEG and EEG frequency band time series was computed for all groups. Our results indicate the HFD varies spatially and temporally across all groups and is of lower magnitude in patients not taking opioids as compared to those taking opioids and healthy controls. A global decrease in HFD was observed with changes in gamma and beta power in the chronic pain group compared to controls and when paired to subject handedness and sex. Our results show the loss of complexity representative of brain wide dysfunction and reduced neural processing can be used as an EEG biomarker for chronic pain and subsequent opioid use.

Indexed as

brain networksDynamical systemsEEGEEG biomarkerHurst dimensionmultifractal analysisnonlinear analysisopioid usepain processing

Identifiers

PMID41867402
PMCPMC13001653

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.