Evidence map›Paper›PMID 41376664›Full record

ArticleArXiv2025

Functional dual-slope frequency-domain near-infrared spectroscopy data interpreted with two- and three-layer models.

Jodee Frias, Giles Blaney, Angelo Sassaroli, Sergio Fantini

Abstract readPreprint
PubMed Full text at PMC
In one paragraph

Article in ArXiv, 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

5 · Who and what money

Authors and funding

4 authors.

Jodee FriasTufts University, Department of Biomedical Engineering, Medford, MA, USA.
Giles BlaneyTufts University, Department of Biomedical Engineering, Medford, MA, USA.
Angelo SassaroliTufts University, Department of Biomedical Engineering, Medford, MA, USA.
Sergio FantiniTufts University, Department of Biomedical Engineering, Medford, MA, USA.

Funding

Tufts IRACDAK12GM133314 · NIGMS · TUFTS UNIVERSITY BOSTON · PI CLAIRE L MOORE, Jamie Lynn Maguire · 2019 to 2026
$8.4M
Dual-slope method for enhanced depth sensitivity in frequency-domain near-infrared spectroscopyR01EB029414 · NIBIB · TUFTS UNIVERSITY MEDFORD · PI SERGIO FANTINI · 2021 to 2026
$2.5M
Pulse-oximetry method for un-biased assessment of arterial saturationK99HL181290 · NHLBI · TUFTS UNIVERSITY MEDFORD · PI Giles Blaney · 2025 to 2026
$269k
NHLBI NIH HHS K99 HL181290NIBIB NIH HHS R01 EB029414NIGMS NIH HHS K12 GM133314
6 · The paper itself

Abstract

Significance: Functional near-infrared spectroscopy (fNIRS) is impacted by signal contamination from superficial hemodynamics. It is important to develop methods that account for such contamination and provide accurate measurements of cerebral hemodynamics. Aim: This work aims to investigate whether simulated data with two-layer or three-layer tissue models are able to reproduce Approach: We performed Monte Carlo simulations to generate DS FD-NIRS data from two- and three-layer media with a range of layer thicknesses and optical properties. We collected Results: We found that the main qualitative features of Conclusions: A three-layer model is a viable improvement over a homogeneous model to analyze DS FD-NIRS data (or any other fNIRS data) to generate more accurate measurements of cerebral hemodynamic changes without a need for large data sets for tomographic reconstructions.

Indexed as

diffuse opticsdual-slopefrequency-domain near-infrared spectroscopyfunctional near-infrared spectroscopyMonte Carlo simulationsmulti-layer model

Identifiers

PMID41376664
PMCPMC12687849

What OpenQuestion holds

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LicenceCC BY-NC-SA
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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.