Open Access
24 February 2020 Transcranial photobiomodulation with near-infrared light from childhood to elderliness: simulation of dosimetry
Yaoshen Yuan, Paolo Cassano, Matthew Pias, Qianqian Fang
Author Affiliations +
Abstract

Significance: Major depressive disorder (MDD) affects over 40 million U.S. adults in their lifetime. Transcranial photobiomodulation (t-PBM) has been shown to be effective in treating MDD, but the current treatment dosage does not account for head and brain anatomical changes due to aging.

Aim: We study effective t-PBM dosage and its variations across age groups using state-of-the-art Monte Carlo simulations and age-dependent brain atlases ranging between 5 and 85 years of age.

Approach: Age-dependent brain models are derived from 18 MRI brain atlases. Two extracranial source positions, F3–F4 and Fp1–Fpz–Fp2 in the EEG 10–20 system, are simulated at five selected wavelengths and energy depositions at two MDD-relevant cortical regions—dorsolateral prefrontal cortex (dlPFC) and ventromedial prefrontal cortex (vmPFC)—are quantified.

Results: An overall decrease of energy deposition was found with increasing age. A strong negative correlation between the thickness of extracerebral tissues (ECT) and energy deposition was observed, suggesting that increasing ECT thickness over age is primarily responsible for reduced energy delivery. The F3–F4 position appears to be more efficient in reaching dlPFC compared to treating vmPFC via the Fp1–Fpz–Fp2 position.

Conclusions: Quantitative simulations revealed age-dependent light delivery across the lifespan of human brains, suggesting the need for personalized and age-adaptive t-PBM treatment planning.

CC BY: © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.
Yaoshen Yuan, Paolo Cassano, Matthew Pias, and Qianqian Fang "Transcranial photobiomodulation with near-infrared light from childhood to elderliness: simulation of dosimetry," Neurophotonics 7(1), 015009 (24 February 2020). https://doi.org/10.1117/1.NPh.7.1.015009
Received: 22 September 2019; Accepted: 5 February 2020; Published: 24 February 2020
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CITATIONS
Cited by 23 scholarly publications and 3 patents.
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KEYWORDS
Brain

Tissues

Monte Carlo methods

Image segmentation

Magnetic resonance imaging

Neurophotonics

Optical properties

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