Evidence map›Paper›PMID 35043610›Full record

ArticleJournal of biomedical optics2022

Kernel Flow: a high channel count scalable time-domain functional near-infrared spectroscopy system.

Han Y Ban, Geoffrey M Barrett, Alex Borisevich, Ashutosh Chaturvedi, Jacob L Dahle, Hamid Dehghani, Julien Dubois, Ryan M Field, Viswanath Gopalakrishnan, Andrew Gundran and 20 more

Registry-linked trialAbstract read
In one paragraph

Article in Journal of biomedical optics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05752981 (Full-head Coverage Multi-channel Time-resolved Functional Near Infrared Spectroscopy for Early Detection and Prevention of Perioperative Brain Injury), which is not on this map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing 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.

NCT05752981 unknown statusnot on this mapstarted 2023, after this paper: background citation

Full-head Coverage Multi-channel Time-resolved Functional Near Infrared Spectroscopy for Early Detection and Prevention of Perioperative Brain Injury

TypeobservationalSponsorLondon Health Sciences Centre Research Institute OR Lawson Research Institute of St. Joseph'sRan2023 to 2025Enrolled100ConditionsStroke, Cerebral OxygenationArmsmultichannel time-resolved (tr) functional near infrared spectroscopy (fNIRS) (tr-fNIRS)
3 · Its place in the literature

Who cites it

33 citing papers in PubMed.

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  13. From lab to life: challenges and perspectives of fNIRS for haemodynamic-based neurofeedback in real-world environments.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024
    Review
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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

30 authors.

Han Y BanKernel, Los Angeles, California, United States.
Geoffrey M BarrettKernel, Los Angeles, California, United States.
Alex BorisevichKernel, Los Angeles, California, United States.
Ashutosh ChaturvediKernel, Los Angeles, California, United States.
Jacob L DahleKernel, Los Angeles, California, United States.
Hamid DehghaniKernel, Los Angeles, California, United States.
Julien DuboisKernel, Los Angeles, California, United States.
Ryan M FieldKernel, Los Angeles, California, United States.
Viswanath GopalakrishnanKernel, Los Angeles, California, United States.
Andrew GundranKernel, Los Angeles, California, United States.
Michael HenningerKernel, Los Angeles, California, United States.
Wilson C HoKernel, Los Angeles, California, United States.
Howard D HughesKernel, Los Angeles, California, United States.
Rong JinKernel, Los Angeles, California, United States.
Julian Kates-HarbeckKernel, Los Angeles, California, United States.
Thanh LandyKernel, Los Angeles, California, United States.
Michael LeggieroKernel, Los Angeles, California, United States.
Gabriel LernerKernel, Los Angeles, California, United States.
Zahra M AghajanKernel, Los Angeles, California, United States.
Michael MoonKernel, Los Angeles, California, United States.
Isai OlveraKernel, Los Angeles, California, United States.
Sangyong ParkKernel, Los Angeles, California, United States.
Milin J PatelKernel, Los Angeles, California, United States.
Katherine L PerdueKernel, Los Angeles, California, United States.
Benjamin SiepserKernel, Los Angeles, California, United States.
Sebastian SorgenfreiKernel, Los Angeles, California, United States.
Nathan SunKernel, Los Angeles, California, United States.
Victor SzczepanskiKernel, Los Angeles, California, United States.
Mary ZhangKernel, Los Angeles, California, United States.
Zhenye ZhuKernel, Los Angeles, California, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

significanceTime-domain functional near-infrared spectroscopy (TD-fNIRS) has been considered as the gold standard of noninvasive optical brain imaging devices. However, due to the high cost, complexity, and large form factor, it has not been as widely adopted as continuous wave NIRS systems.

aimKernel Flow is a TD-fNIRS system that has been designed to break through these limitations by maintaining the performance of a research grade TD-fNIRS system while integrating all of the components into a small modular device. APPROACH: The Kernel Flow modules are built around miniaturized laser drivers, custom integrated circuits, and specialized detectors. The modules can be assembled into a system with dense channel coverage over the entire head.

resultsWe show performance similar to benchtop systems with our miniaturized device as characterized by standardized tissue and optical phantom protocols for TD-fNIRS and human neuroscience results.

conclusionsThe miniaturized design of the Kernel Flow system allows for broader applications of TD-fNIRS.

Indexed as

BrainSpectroscopy, Near-InfraredHumansfunctional near-infrared spectroscopyoptical brain imagingoptical propertiessingle-photon detectorstime-resolved spectroscopytissue optics

Identifiers

PMID35043610
PMCPMC8765296

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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.