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Neuro-environmental interactions: a time sensitive matter.
Invernizzi, Azzurra; Renzetti, Stefano; Rechtman, Elza; Ambrosi, Claudia; Mascaro, Lorella; Corbo, Daniele; Gasparotti, Roberto; Tang, Cheuk Y; Smith, Donald R; Lucchini, Roberto G; Wright, Robert O; Placidi, Donatella; Horton, Megan K; Curtin, Paul.
Afiliação
  • Invernizzi A; Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, United States.
  • Renzetti S; Department of Medical and Surgical Specialties, Radiological Sciences and Public Health, University of Brescia, Brescia, Italy.
  • Rechtman E; Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, United States.
  • Ambrosi C; Department of Neuroscience, Neuroradiology Unit, ASST Cremona, Cremona, Italy.
  • Mascaro L; ASST Spedali Civili Hospital, Brescia, Italy.
  • Corbo D; Department of Medical Surgical Specialties, Radiological Sciences and Public Health, University of Brescia, Brescia, Italy.
  • Gasparotti R; Department of Medical Surgical Specialties, Radiological Sciences and Public Health, University of Brescia, Brescia, Italy.
  • Tang CY; Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, United States.
  • Smith DR; Department of Microbiology and Environmental Toxicology, University of California Santa Cruz, Santa Cruz, CA, United States.
  • Lucchini RG; Department of Neuroscience, Neuroradiology Unit, ASST Cremona, Cremona, Italy.
  • Wright RO; Department of Environmental Health Sciences, Robert Stempel School of Public Health, Florida International University, Miami, FL, United States.
  • Placidi D; Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, United States.
  • Horton MK; Department of Medical and Surgical Specialties, Radiological Sciences and Public Health, University of Brescia, Brescia, Italy.
  • Curtin P; Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, United States.
Front Comput Neurosci ; 17: 1302010, 2023.
Article em En | MEDLINE | ID: mdl-38260714
ABSTRACT

Introduction:

The assessment of resting state (rs) neurophysiological dynamics relies on the control of sensory, perceptual, and behavioral environments to minimize variability and rule-out confounding sources of activation during testing conditions. Here, we investigated how temporally-distal environmental inputs, specifically metal exposures experienced up to several months prior to scanning, affect functional dynamics measured using rs functional magnetic resonance imaging (rs-fMRI).

Methods:

We implemented an interpretable XGBoost-shapley additive explanation (SHAP) model that integrated information from multiple exposure biomarkers to predict rs dynamics in typically developing adolescents. In 124 participants (53% females, ages, 13-25 years) enrolled in the public health impact of metals exposure (PHIME) study, we measured concentrations of six metals (manganese, lead, chromium, copper, nickel, and zinc) in biological matrices (saliva, hair, fingernails, toenails, blood, and urine) and acquired rs-fMRI scans. Using graph theory metrics, we computed global efficiency (GE) in 111 brain areas (Harvard Oxford atlas). We used a predictive model based on ensemble gradient boosting to predict GE from metal biomarkers, adjusting for age and biological sex.

Results:

Model performance was evaluated by comparing predicted versus measured GE. SHAP scores were used to evaluate feature importance. Measured versus predicted rs dynamics from our model utilizing chemical exposures as inputs were significantly correlated (p < 0.001, r = 0.36). Lead, chromium, and copper contributed most to the prediction of GE metrics.

Discussion:

Our results indicate that a significant component of rs dynamics, comprising approximately 13% of observed variability in GE, is driven by recent metal exposures. These findings emphasize the need to estimate and control for the influence of past and current chemical exposures in the assessment and analysis of rs functional connectivity.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Front Comput Neurosci Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Front Comput Neurosci Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos