Evidence map›Paper›PMID 41930223›Full record

ArticleNeurophotonics2026

Monte Carlo simulations of time-resolved blood flow index: times-of-flight beyond ∼1 ns are necessary for brain-dominated measurements.

Dominic W Hill, Anurag Behera, Octave Etard, Yuqian Zhang, Alexandra Tran-Van-Minh, Alexander Ruesch, Lior Ness, Chloe Maine, Amir Salehi Lashkajani, Veronika Parfentyeva and 9 more

Abstract read
In one paragraph

Article in Neurophotonics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

19 authors.

Dominic W HillCoMind Technologies, London, United Kingdom.
Anurag BeheraCoMind Technologies, London, United Kingdom.
Octave EtardCoMind Technologies, London, United Kingdom.ORCID https://orcid.org/0000-0002-6287-602X
Yuqian ZhangCoMind Technologies, London, United Kingdom.
Alexandra Tran-Van-MinhCoMind Technologies, London, United Kingdom.ORCID https://orcid.org/0000-0001-8522-1088
Alexander RueschCoMind Technologies, London, United Kingdom.
Lior NessCoMind Technologies, London, United Kingdom.
Chloe MaineCoMind Technologies, London, United Kingdom.
Amir Salehi LashkajaniCoMind Technologies, London, United Kingdom.
Veronika ParfentyevaCoMind Technologies, London, United Kingdom.
Navjit SinghCoMind Technologies, London, United Kingdom.
Alexander AntrobusCoMind Technologies, London, United Kingdom.
Rachel PruddenCoMind Technologies, London, United Kingdom.
Pablo Villar SanjurjoCoMind Technologies, London, United Kingdom.ORCID https://orcid.org/0009-0000-3232-1720
Stella AvtziCoMind Technologies, London, United Kingdom.
Tanja DragojevićCoMind Technologies, London, United Kingdom.
Dawid BoryckiCoMind Technologies, London, United Kingdom.ORCID https://orcid.org/0000-0002-1235-889X
Matthew T ValleyCoMind Technologies, London, United Kingdom.ORCID https://orcid.org/0000-0002-7204-5457
Robert J CooperCoMind Technologies, London, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Significance: Achieving adequate brain sensitivity remains a significant obstacle to noninvasive optical measurements of pulsatile cerebral blood flow. Increasing source-detector separation (SDS), utilizing time-of-flight (ToF) information, and/or increasing acquisition frequency can increase brain sensitivity. However, optimizing these parameters is nontrivial and must balance the need to achieve sufficient signal-to-noise ratio. Aim: We aim to guide hardware optimization by evaluating the benefits of ToF gating, autocorrelation time-lag gating, and increased source-detector separation in recovering pulsatile cerebral blood flow. Approach: Monte Carlo simulations of ToF-resolved pulsatile blood flow index at 1064 nm were performed. A simulation and analysis pipeline is presented and validated against phantom and Results: Brain sensitivity deteriorates for autocorrelation time-lags >1 to Conclusions: We quantitatively compare source-detector separation, ToF gating, and acquisition frequency and identify crucial performance requirements for clinically viable optical monitors of cerebral blood flow.

Indexed as

cerebral blood flowdiffuse correlation spectroscopyMonte Carlo simulationspeckle contrast optical spectroscopytime-resolved

Identifiers

PMID41930223
PMCPMC13041720

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LicenceCC BY
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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.