Evidence map›Paper›PMID 28583619›Full record

ArticleNeurotoxicology2017

The impacts of pesticide and nicotine exposures on functional brain networks in Latino immigrant workers.

Mohsen Bahrami, Paul J Laurienti, Sara A Quandt, Jennifer Talton, Carey N Pope, Phillip Summers, Jonathan H Burdette, Haiying Chen, Jing Liu, Timothy D Howard and 2 more

Open access · greenAbstract read
In one paragraph

Article in Neurotoxicology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 27% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.

  1. Risk Factors for Brain Health in Agricultural Work: A Systematic Review.International journal of environmental research and public health · 2022
    Pooled it
  2. Article
  3. Article
  4. Migrant workers occupational health research: an OMEGA-NET working group position paper.International archives of occupational and environmental health · 2022
    Review
  5. Mixed Modeling Frameworks for Analyzing Whole-Brain Network Data.Methods in molecular biology (Clifton, N.J.) · 2022
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Connectivity in fMRI: Blind Spots and Breakthroughs.IEEE transactions on medical imaging · 2018
    Article
  12. 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

12 authors at 3 institutions in 1 country.

Mohsen BahramiLaboratory for Complex Brain Networks, Virginia Tech - Wake Forest School of Biomedical Engineering and Sciences, Winston-Salem, NC, USA. Electronic address: mbahrami@wakehealth.edu.
Paul J LaurientiLaboratory for Complex Brain Networks, Virginia Tech - Wake Forest School of Biomedical Engineering and Sciences, Winston-Salem, NC, USA; Department of Radiology, Wake Forest School of Medicine, Winston-Salem, NC, USA.
Sara A QuandtDepartment of Epidemiology and Prevention, Wake Forest School of Medicine, Winston-Salem, NC, USA.
Jennifer TaltonDepartment of Biostatistical Sciences, Wake Forest School of Medicine, Winston Salem, NC, USA.
Carey N PopeDepartment of Physiological Sciences, Oklahoma State University, Stillwater, OK, USA.
Phillip SummersDepartment of Family and Community Medicine, Wake Forest School of Medicine, Winston-Salem, NC, USA.
Jonathan H BurdetteDepartment of Radiology, Wake Forest School of Medicine, Winston-Salem, NC, USA.
Haiying ChenDepartment of Biostatistical Sciences, Wake Forest School of Medicine, Winston Salem, NC, USA.
Jing LiuDepartment of Physiological Sciences, Oklahoma State University, Stillwater, OK, USA.
Timothy D HowardCenter for Genomics and Personalized Medicine Research, Wake Forest School of Medicine, Winston-Salem, NC, USA.
Thomas A ArcuryDepartment of Family and Community Medicine, Wake Forest School of Medicine, Winston-Salem, NC, USA.
Sean L SimpsonLaboratory for Complex Brain Networks, Virginia Tech - Wake Forest School of Biomedical Engineering and Sciences, Winston-Salem, NC, USA; Department of Biostatistical Sciences, Wake Forest School of Medicine, Winston Salem, NC, USA.
Wake Forest University · USOklahoma State University · USVirginia Tech - Wake Forest University School of Biomedical Engineering & Sciences · US

Funding

The Effect of Pesticide Exposure on Cognitive and Brain Development in Latino Children: PACE5 Administrative Supplement 2R01ES008739 · NIEHS · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI ARCURY, THOMAS A., LAURIENTI, PAUL · 2000 to 2022
$11.1M
Statistical Methods for Whole-Brain Connectivety NetworksK25EB012236 · NIBIB · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI SIMPSON, SEAN L · 2012 to 2016
$796k
NIBIB NIH HHS K25 EB012236NIEHS NIH HHS R01 ES008739
6 · The paper itself

Abstract

Latino immigrants that work on farms experience chronic exposures to potential neurotoxicants, such as pesticides, as part of their work. For tobacco farmworkers there is the additional risk of exposure to moderate to high doses of nicotine. Pesticide and nicotine exposures have been associated with neurological changes in the brain. Long-term exposure to cholinesterase-inhibiting pesticides, such as organophosphates and carbamates, and nicotine place this vulnerable population at risk for developing neurological dysfunction. In this study we examined whole-brain connectivity patterns and brain network properties of Latino immigrant workers. Comparisons were made between farmworkers and non-farmworkers using resting-state functional magnetic resonance imaging data and a mixed-effects modeling framework. We also evaluated how measures of pesticide and nicotine exposures contributed to the findings. Our results indicate that despite having the same functional connectivity density and strength, brain networks in farmworkers had more clustered and modular structures when compared to non-farmworkers. Our findings suggest increased functional specificity and decreased functional integration in farmworkers when compared to non-farmworkers. Cholinesterase activity was associated with population differences in community structure and the strength of brain network functional connections. Urinary cotinine, a marker of nicotine exposure, was associated with the differences in network community structure. Brain network differences between farmworkers and non-farmworkers, as well as pesticide and nicotine exposure effects on brain functional connections in this study, may illuminate underlying mechanisms that cause neurological implications in later life.

Indexed as

Emigrants and ImmigrantsOccupational ExposureAcetylcholinesteraseAdultAgedBrainButyrylcholinesteraseCotinineFemaleHispanic or LatinoHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingMaleMiddle AgedModels, StatisticalAcetylcholinesteraseButyrylcholinesteraseCotinineNicotineOxygenPesticidesBrain networkLatino immigrant workersMixed modelNicotinePesticideResting state fMRI

Identifiers

PMID28583619
PMCPMC5654319
OpenAlexW2621327085

What OpenQuestion holds

Textmetadata
LicenceTDM
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.