Evidence map›Paper›PMID 35599691›Full record

ArticleNeurophotonics2022

Investigation of functional near-infrared spectroscopy signal quality and development of the hemodynamic phase correlation signal.

Uzair Hakim, Paola Pinti, Adam J Noah, Xian Zhang, Paul Burgess, Antonia Hamilton, Joy Hirsch, Ilias Tachtsidis

Open access · goldAbstract read
In one paragraph

Article in Neurophotonics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.2field-weighted citation impact, top 13% of its field
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

13 citing papers in PubMed, 15 citations in OpenAlex.

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  9. 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

8 authors at 2 institutions in 2 countries.

Uzair HakimUniversity College London, Department of Medical Physics and Biomedical Engineering, London, United Kingdom.ORCID https://orcid.org/0000-0001-5967-0146
Paola PintiUniversity College London, Department of Medical Physics and Biomedical Engineering, London, United Kingdom.
Adam J NoahYale University, Department of Neuroscience and Comparative Medicine, Yale School of Medicine, United States.ORCID https://orcid.org/0000-0001-9773-2790
Xian ZhangYale University, Department of Neuroscience and Comparative Medicine, Yale School of Medicine, United States.
Paul BurgessUniversity College London, Institute of Cognitive Neuroscience, London, United Kingdom.ORCID https://orcid.org/0000-0002-6894-6658
Antonia HamiltonUniversity College London, Institute of Cognitive Neuroscience, London, United Kingdom.ORCID https://orcid.org/0000-0001-8000-0219
Joy HirschUniversity College London, Department of Medical Physics and Biomedical Engineering, London, United Kingdom.ORCID https://orcid.org/0000-0002-1418-6489
Ilias TachtsidisUniversity College London, Department of Medical Physics and Biomedical Engineering, London, United Kingdom.ORCID https://orcid.org/0000-0002-8125-0313
University College London · GBYale University · US

Funding

Mechanisms of Dynamic Neural Coupling during Face-to-Face Expressions of EmotionR01MH119430 · NIMH · YALE UNIVERSITY · PI HIRSCH, JOY · 2019 to 2023
$2.0M
Medical Research Council MR/S003134/1NIMH NIH HHS R01 MH119430
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

functional near-infrared spectroscopyhemodynamic responseneuroscience

Identifiers

PMID35599691
PMCPMC9116886
OpenAlexW4280519640

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.