Evidence map›Paper›PMID 41394481›Full record

ArticleBiomedical optics express2025

Noninvasive prediction of photon fluence rate in targeted brain regions for personalized transcranial photobiomodulation dosage: model development and

Yu-Chia Chang, Bo-Yong Lin, Yu-Peng Hsieh, Tzu-Chia Kao, Wen-Yih Isaac Tseng, Li-Da Huang, Kung-Bin Sung

Abstract read
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Article in Biomedical optics express, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Yu-Chia ChangGraduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University, Taipei, Taiwan.
Bo-Yong LinGraduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University, Taipei, Taiwan.
Yu-Peng HsiehDepartment of Electrical Engineering, National Taiwan University, Taipei, Taiwan.
Tzu-Chia KaoGraduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University, Taipei, Taiwan.
Wen-Yih Isaac TsengInstitute of Medical Device and Imaging, National Taiwan University, Taipei, Taiwan.
Li-Da HuangCytonSys Inc, 7801 N. Lamar Blvd. Suite C-59, Austin, TX 78752, USA.
Kung-Bin SungGraduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University, Taipei, Taiwan.ORCID https://orcid.org/0000-0002-7253-1332

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Transcranial photobiomodulation (tPBM) shows promise in delivering beneficial effects to the brain. However, accurately estimating the stimulus energy reaching the targeted brain region remains difficult due to individual differences in anatomy and optical properties. We present a noninvasive method that combines diffuse reflectance spectroscopy with deep learning to predict the fluence rate of the stimulus light. Incorporating tissue layer thicknesses into the model significantly enhances prediction accuracy, reducing errors to approximately 13%, compared to 49% when assuming a constant irradiance at the scalp surface. By eliminating the need for expensive magnetic resonance imaging, our approach offers a scalable solution for optimizing irradiation parameters in future tPBM applications.

Identifiers

PMID41394481
PMCPMC12698094

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.