Subcortical Microstructural Changes Associated with Multiple Metal Exposure

Metal exposure has been associated with neurodegenerative disorders including Parkinson’s disease (PD). This study examined microstructural changes in subcortical motor areas associated with chronic metal exposure. Subjects with/without a welding history (metal-exposed subjects; n = 23 and controls; n = 24) were examined. Brain microstructural differences were assessed by MRI diffusion metrics [mean (MD), axial (AD), radial diffusivity (RD) and fractional anisotropy (FA)] in subcortical motor areas [nigro–basal ganglia–thalamic circuit: substantia nigra (SN), caudate nucleus (CN), putamen, globus pallidus (GP), and thalamus; dentatorubral circuit: dentate nucleus (DN) and red nucleus (RN)]. Metal exposure was estimated by lifetime welding years, whole blood metal levels, and T1 and R2* (1/T2*) metrics (estimates of brain metal accumulation). Compared to controls, metal-exposed subjects displayed higher diffusivities in the GP and thalamus (p’s < 0.033) but lower FA values in the putamen, SN, and thalamus (p’s < 0.039) without differences in DN and RN (p’s > 0.115). Blood metal mixtures predicted higher GP and SN T1 metrics (p’s < 0.05). Higher T1 metrics predicted higher GP and TH diffusivities and lower SN and TH FA values (p’s < 0.044). Higher blood vanadium levels predicted lower SN FA values (p = 0.009). Multiple metal exposure may be associated with microstructural compromises within the nigro–basal ganglia–thalamic circuit, while the dentatorubral circuit remains relatively spared, a pattern resembling that of PD at-risk populations.

Authors

Institutions

Publication Details

Journal
Toxics
Published
2026-10-15
DOI
https://doi.org/10.3390/toxics14100911
Primary Topic
Heavy Metal Exposure and Toxicity
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Subcortical Microstructural Changes Associated with Multiple Metal Exposure

Eun‐Young Lee
Toxics
Heavy Metal Exposure and Toxicity
article

Subcortical Microstructural Changes Associated with Multiple Metal Exposure

Eun‐Young Lee
article en

Abstract

Metal exposure has been associated with neurodegenerative disorders including Parkinson’s disease (PD). This study examined microstructural changes in subcortical motor areas associated with chronic metal exposure. Subjects with/without a welding history (metal-exposed subjects; n = 23 and controls; n = 24) were examined. Brain microstructural differences were assessed by MRI diffusion metrics [mean (MD), axial (AD), radial diffusivity (RD) and fractional anisotropy (FA)] in subcortical motor areas [nigro–basal ganglia–thalamic circuit: substantia nigra (SN), caudate nucleus (CN), putamen, globus pallidus (GP), and thalamus; dentatorubral circuit: dentate nucleus (DN) and red nucleus (RN)]. Metal exposure was estimated by lifetime welding years, whole blood metal levels, and T1 and R2* (1/T2*) metrics (estimates of brain metal accumulation). Compared to controls, metal-exposed subjects displayed higher diffusivities in the GP and thalamus (p’s < 0.033) but lower FA values in the putamen, SN, and thalamus (p’s < 0.039) without differences in DN and RN (p’s > 0.115). Blood metal mixtures predicted higher GP and SN T1 metrics (p’s < 0.05). Higher T1 metrics predicted higher GP and TH diffusivities and lower SN and TH FA values (p’s < 0.044). Higher blood vanadium levels predicted lower SN FA values (p = 0.009). Multiple metal exposure may be associated with microstructural compromises within the nigro–basal ganglia–thalamic circuit, while the dentatorubral circuit remains relatively spared, a pattern resembling that of PD at-risk populations.

ToxicsVol. 14(10)
Dong-A University (KR)
National Research Foundation of Korea
Good health and well-being
Openalex Percentile: Top 18%
Heavy Metal Exposure and Toxicity
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.