Evidence map›Paper›PMID 41458450›Full record

ArticleProceedings of SPIE--the International Society for Optical Engineering2025

Investigating effects of air quality and weather on brain volumes.

Karthik Ramadass, Yihao Liu, Michael E Kim, Chenyu Gao, Aravind Krishnan, Nazirah Mohd Khairi, Lianrui Zuo, Tin Nguyen, Micah D'Archangel, Kurt G Schilling and 2 more

Abstract read
In one paragraph

Article in Proceedings of SPIE--the International Society for Optical Engineering, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Karthik RamadassDepartment of Computer Science, Vanderbilt University, Nashville, TN, USA.
Yihao LiuDepartment of Electrical and Computer Engineering, Vanderbilt University, Nashville, TN, USA.
Michael E KimDepartment of Computer Science, Vanderbilt University, Nashville, TN, USA.
Chenyu GaoDepartment of Electrical and Computer Engineering, Vanderbilt University, Nashville, TN, USA.
Aravind KrishnanDepartment of Electrical and Computer Engineering, Vanderbilt University, Nashville, TN, USA.
Nazirah Mohd KhairiDepartment of Electrical and Computer Engineering, Vanderbilt University, Nashville, TN, USA.
Lianrui ZuoDepartment of Electrical and Computer Engineering, Vanderbilt University, Nashville, TN, USA.
Tin NguyenVanderbilt Brain Institute, Vanderbilt University, Nashville, TN, USA.
Micah D'ArchangelVanderbilt Brain Institute, Vanderbilt University, Nashville, TN, USA.
Kurt G SchillingDepartment of Biomedical Engineering, Vanderbilt University, Nashville, TN, USA.
Laurie E CuttingVanderbilt Brain Institute, Vanderbilt University, Nashville, TN, USA.
Bennett A LandmanDepartment of Computer Science, Vanderbilt University, Nashville, TN, USA.

Funding

Overall: Eunice Kennedy Shriver Intellectual and Developmental Disabilities Research Center at VanderbiltP50HD103537 · NICHD · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Jeffrey L Neul · 2020 to 2026
$10.3M
Research Project: Sensory and Multisensory Contributions to AutismU54HD083211 · NICHD · VANDERBILT UNIVERSITY MEDICAL CENTER · PI DYKENS, ELISABETH MAY · 2015 to 2019
$7.1M
Early Academic Achievement and Intervention Response: Role of Executive FunctionR37HD095519 · NICHD · VANDERBILT UNIVERSITY · PI Laurie E Cutting · 2018 to 2026
$5.1M
Controlling Quality and Capturing Uncertainty in Advanced Diffusion Weighted MRIR01EB017230 · NIBIB · VANDERBILT UNIVERSITY · PI LANDMAN, BENNETT A. · 2015 to 2024
$5.1M
Computer-Assited Functional NeurosurgeryR01NS095291 · NINDS · VANDERBILT UNIVERSITY · PI DAWANT, BENOIT M., DHAESE, PIERRE F. · 2015 to 2018
$2.4M
NIBIB NIH HHS R01 EB017230NICHD NIH HHS P50 HD103537NICHD NIH HHS R37 HD095519NICHD NIH HHS U54 HD083211NINDS NIH HHS R01 NS095291
6 · The paper itself

Abstract

Understanding the environmental factors that influence brain health is crucial for public health and neuroscience research. Recent studies have separately investigated associations between weather, seasonality, and air quality on brain volumes and functional brain connectivity. However, air quality and weather are interrelated factors. Therefore, it is important that we investigate the effect of their combined interaction with human brain volumes. In this study, we aligned volumetric brain data from structural MRI scans acquired from kids aged between 5 and 10 to hourly air quality and weather data. We used multiple linear regression models with age, sex, date, hour, air quality, and weather to predict total brain volumes. The total brain volumes used to train and test our model were acquired from T1-weighted MRI using FreeSurfer. Select weather variables such as hourly dew point temperature and hourly relative humidity were positively associated with brain volume (p < 0.01). Although not statistically significant, hourly wet bulb temperature suggested a modest influence on brain volume. None of the air quality variables showed significant associations. These findings underscore the importance of considering a broad range of environmental factors in neuroimaging studies and suggest that air quality and seasonal influences can be confounds in studies investigating variations in structural brain volumes.

Indexed as

Brain volumeclimate changeLinear regressionMRI

Identifiers

PMID41458450
PMCPMC12742983

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.