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Investigating developmental changes in scalp-to-cortex correspondence using diffuse optical tomography sensitivity in

Xiaoxue Fu1, John E Richards1

  • 1University of South Carolina, Department of Psychology, Columbia, South Carolina, United States.

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Summary

Diffuse optical tomography (DOT) uses near-infrared light spectroscopy (NIRS) to measure brain activity. This study reveals age-related differences in scalp-to-cortex distances and mappings, crucial for accurate pediatric NIRS research.

Keywords:
Monte Carlo simulationdevelopmentdiffuse optical tomographyhead modelsinfantnear-infrared light spectroscopy

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Area of Science:

  • Biomedical Optics
  • Neuroimaging
  • Developmental Neuroscience

Background:

  • Diffuse optical tomography (DOT) and near-infrared spectroscopy (NIRS) measure cerebral hemoglobin concentration changes.
  • Accurate anatomical interpretation of NIRS data requires understanding cranio-cerebral relations, which are poorly defined in developing pediatric populations.
  • Rapid head and brain development in infants and children complicates NIRS data analysis.

Purpose of the Study:

  • To investigate age-related differences in scalp-to-cortex distance.
  • To map scalp locations to cortical regions of interest (ROIs) across different age groups.
  • To inform sensor placement and anatomical interpretation in pediatric NIRS/fNIRS research.

Main Methods:

  • Utilized spatial scalp projection and photon propagation simulations.
  • Employed age-matched, realistic head models derived from MRI scans.
  • Included infants (2 weeks–24 months), children (4 and 12 years), and adults (20–24 years).

Main Results:

  • Significant age-group differences observed in scalp-to-cortex distances during infancy.
  • Developmental increases in scalp-to-cortex distance were pronounced in children and adults.
  • Systematic, age-related variations were found in probabilistic mappings between scalp locations and cortical ROIs.

Conclusions:

  • Findings highlight the importance of age-appropriate head models for pediatric DOT and NIRS.
  • Recommendations for sensor placement and anatomical interpretation in NIRS/fNIRS studies.
  • Emphasizes the need for realistic head models to guide standalone DOT data analysis in infants.