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Record W4406086171 · doi:10.1186/s12302-024-01034-0

Altered regional brain activity and functional connectivity in relation to blood lead levels

2025· article· en· W4406086171 on OpenAlexaboutno aff
Yi Shi, Lin‐Feng Yan, Yang Yang, Fenfen He, Wenhao Li, Jianbin Zhang, Fang Zhao, Diya Wang, Wen Wang, Zaihua Zhao, Xuefeng Shen

Bibliographic record

VenueEnvironmental Sciences Europe · 2025
Typearticle
Languageen
FieldNeuroscience
TopicFunctional Brain Connectivity Studies
Canadian institutionsnot available
FundersNational Natural Science Foundation of China
KeywordsLead (geology)Functional connectivityRelation (database)Lead exposureEcologyNeuroscienceBiologyMedicineInternal medicineComputer scienceData mining

Abstract

fetched live from OpenAlex

Lead is a prevalent heavy metal pollutant in the environment, and chronic lead exposure in occupational settings has been linked to cognitive decline. Our objective was to delineate lead-induced changes in brain functional activity through the assessment of regional homogeneity (ReHo), degree centrality (DC) and seed-based functional connectivity (FC) using resting-state functional magnetic resonance imaging (rs-fMRI). In this cross-sectional study, we recruited 76 participants from a smelting company. Based on their blood lead levels, 26 participants were assigned to the lead exposure group (≥ 300 μg/L), whereas 23 were assigned to the control group (≤ 100 μg/L). Neuropsychological assessments included the Montreal Cognitive Assessment, Mini-Mental State Examination, Self-rating Anxiety Scale, and Self-rating Depression Scale. Participants underwent rs-fMRI for ReHo, DC, and FC analyses. Brain regions demonstrating significant differences in ReHo and DC were identified as regions of interest for subsequent FC analysis. We also examined the relationships between lead levels, FC values, and neuropsychological scores. Compared to the control group, individuals with high lead exposure exhibited increased ReHo in the bilateral insula and vermis and elevated DC in the left olfactory cortex. Notably, the left insula demonstrated reduced FC with the right cerebellar crus I, left fusiform gyrus, left superior frontal gyrus, and left middle frontal gyrus. The right insula also displayed reduced FC with the right middle frontal gyrus but increased FC between the left olfactory cortex and right insula. Furthermore, negative correlations were observed between lead levels and FC of the left insula with the left fusiform gyrus ( r = − 0.586), left superior frontal gyrus ( r = − 0.556), and left middle frontal gyrus ( r = − 0.626), as well as between FC of the right insula and the right middle frontal gyrus ( r = − 0.587). Conversely, there was a positive association between FC of the left olfactory cortex with the right insula and lead levels ( r = 0.609), whereas an inverse relationship was noted with neurocognitive assessments. The disruption in insula coordination may significantly impair long-range FC and contribute to cognitive deficits resulting from lead exposure. The insula appears to be a pivotal region in lead-associated neurocognitive impairment.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.058
GPT teacher head0.267
Teacher spread0.209 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2025
Admission routes1
Has abstractyes

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