Evidence map›Paper›PMID 27377552›Full record

ArticleScientific reports2016

Hyper-resting brain entropy within chronic smokers and its moderation by Sex.

Zhengjun Li, Zhuo Fang, Nathan Hager, Hengyi Rao, Ze Wang

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
2.3field-weighted citation impact, top 12% of its field
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

26 citing papers in PubMed, 48 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. The effects of intermittent theta burst stimulation (iTBS) on resting-state brain entropy (BEN).Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2025
    Article
  7. Article
  8. Resting state fMRI-based temporal coherence mapping.Imaging neuroscience (Cambridge, Mass.) · 2025
    Article
  9. Article
  10. Article
  11. Article
  12. Task-induced changes in brain entropy.Journal of neuroscience research · 2024
    Article
  13. Article
  14. Article
  15. Article
  16. Task-induced changes in brain entropy.medRxiv : the preprint server for health sciences · 2023
    Article
  17. Article
  18. Article
  19. Article
  20. 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

5 authors at 3 institutions in 3 countries.

Zhengjun LiDepartment of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Zhuo FangDepartment of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Nathan HagerDepartment of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Hengyi RaoLaboratory of Applied Brain and Cognitive Sciences, College of International Business, Shanghai International Studies University, Shanghai, China.
Ze WangCenter for Cognition and Brain Disorders, Institutes of Neurological Science, Hangzhou Normal University, Wenzhou RD 126, Building 7, CCBD MR, Hangzhou, Zhejiang Province, 310005, China.
University of Pennsylvania · USWestern University · CAZhejiang Lab · CN

Funding

Neural basis for differential vulnerability to sleep deprivationR01HL102119 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI RAO, HENGYI · 2010 to 2014
$2.3M
GABA B agonists revisited: Brain, behavioral and genetic effects in smokersR01DA030394 · NIDA · UNIVERSITY OF PENNSYLVANIA · PI FRANKLIN, TERESA R · 2012 to 2016
$1.6M
Characterizing a cue-vulnerable pharmaco-responsive endophenotype in smokersR01DA029845 · NIDA · UNIVERSITY OF PENNSYLVANIA · PI FRANKLIN, TERESA R · 2011 to 2014
$1.2M
Neural Correlates of Risk Taking in Smokers before and after Smoking AbstinenceR21DA032022 · NIDA · UNIVERSITY OF PENNSYLVANIA · PI RAO, HENGYI · 2012 to 2013
$410k
Imaging data re-analysis for cocaine addictionR56DA036556 · NIDA · UNIVERSITY OF PENNSYLVANIA · PI WANG, ZE · 2014 to 2014
$240k
NHLBI NIH HHS R01 HL102119NIDA NIH HHS R01 DA029845NIDA NIH HHS R01 DA030394NIDA NIH HHS R21 DA032022NIDA NIH HHS R56 DA036556
6 · The paper itself

Abstract

Cigarette smoking is a chronic relapsing brain disorder, and remains a premier cause of morbidity and mortality. Functional neuroimaging has been used to assess differences in the mean strength of brain activity in smokers' brains, however less is known about the temporal dynamics within smokers' brains. Temporal dynamics is a key feature of a dynamic system such as the brain, and may carry information critical to understanding the brain mechanisms underlying cigarette smoking. We measured the temporal dynamics of brain activity using brain entropy (BEN) mapping and compared BEN between chronic non-deprived smokers and non-smoking controls. Because of the known sex differences in neural and behavioral smoking characteristics, comparisons were also made between males and females. Associations between BEN and smoking related clinical measures were assessed in smokers. Our data showed globally higher BEN in chronic smokers compared to controls. The escalated BEN was associated with more years of smoking in the right limbic area and frontal region. Female nonsmokers showed higher BEN than male nonsmokers in prefrontal cortex, insula, and precuneus, but the BEN sex difference in smokers was less pronounced. These findings suggest that BEN mapping may provide a useful tool for probing brain mechanisms related to smoking.

Indexed as

AdultBrainBrain MappingCase-Control StudiesCross-Sectional StudiesEntropyFemaleFrontal LobeHumansLimbic LobeMaleMiddle AgedSex CharacteristicsSmokersTobacco Use DisorderYoung Adult

Identifiers

PMID27377552
PMCPMC4932513
OpenAlexW2463516915

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.