Evidence map›Paper›PMID 38202288›Full record

ReviewJournal of clinical medicine2024

Functional Near-Infrared Spectrometry as a Useful Diagnostic Tool for Understanding the Visual System: A Review.

Kelly Acuña, Rishav Sapahia, Irene Newman Jiménez, Michael Antonietti, Ignacio Anzola, Marvin Cruz, Michael T García, Varun Krishnan, Lynn A Leveille, Miklós D Resch and 3 more

Abstract readReview
In one paragraph

Review in Journal of clinical medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
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

13 authors.

Kelly AcuñaSchool of Medicine, Georgetown University, Washington, DC 20007, USA.ORCID 0000-0001-8158-5263
Rishav SapahiaDepartment of Ophthalmology, Bascom Palmer Eye Institute, University of Miami, Miami, FL 33136, USA.
Irene Newman JiménezDepartment of Cognitive Science, Faculty of Arts & Science, McGill University, Montreal, QC H4A 3J1, Canada.ORCID 0009-0001-5943-0115
Michael AntoniettiDepartment of Ophthalmology, Bascom Palmer Eye Institute, University of Miami, Miami, FL 33136, USA.
Ignacio AnzolaDepartment of Ophthalmology, Bascom Palmer Eye Institute, University of Miami, Miami, FL 33136, USA.
Marvin CruzDepartment of Ophthalmology, Bascom Palmer Eye Institute, University of Miami, Miami, FL 33136, USA.
Michael T GarcíaDepartment of Ophthalmology, Bascom Palmer Eye Institute, University of Miami, Miami, FL 33136, USA.
Varun KrishnanDepartment of Ophthalmology, Bascom Palmer Eye Institute, University of Miami, Miami, FL 33136, USA.
Lynn A LeveilleDepartment of Ophthalmology, Bascom Palmer Eye Institute, University of Miami, Miami, FL 33136, USA.
Miklós D ReschDepartment of Ophthalmology, Semmelweis University, 1085 Budapest, Hungary.ORCID 0000-0002-8285-1153
Anat GalorDepartment of Ophthalmology, Bascom Palmer Eye Institute, University of Miami, Miami, FL 33136, USA.ORCID 0000-0002-3026-6155
Ranya HabashDepartment of Ophthalmology, Bascom Palmer Eye Institute, University of Miami, Miami, FL 33136, USA.
Delia Cabrera DeBucDepartment of Ophthalmology, Bascom Palmer Eye Institute, University of Miami, Miami, FL 33136, USA.ORCID 0000-0002-4726-894X

Funding

Shared Equipment ModuleP30EY014801 · NEI · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI Victor L Perez · 2004 to 2026
$12.2M
NEI NIH HHS P30 EY014801
6 · The paper itself

Abstract

This comprehensive review explores the role of Functional Near-Infrared Spectroscopy (fNIRS) in advancing our understanding of the visual system. Beginning with an introduction to fNIRS, we delve into its historical development, highlighting how this technology has evolved over time. The core of the review critically examines the advantages and disadvantages of fNIRS, offering a balanced view of its capabilities and limitations in research and clinical settings. We extend our discussion to the diverse applications of fNIRS beyond its traditional use, emphasizing its versatility across various fields. In the context of the visual system, this review provides an in-depth analysis of how fNIRS contributes to our understanding of eye function, including eye diseases. We discuss the intricacies of the visual cortex, how it responds to visual stimuli and the implications of these findings in both health and disease. A unique aspect of this review is the exploration of the intersection between fNIRS, virtual reality (VR), augmented reality (AR) and artificial intelligence (AI). We discuss how these cutting-edge technologies are synergizing with fNIRS to open new frontiers in visual system research. The review concludes with a forward-looking perspective, envisioning the future of fNIRS in a rapidly evolving technological landscape and its potential to revolutionize our approach to studying and understanding the visual system.

Indexed as

artificial intelligenceaugmented realitybrain–computer interfaceseyefNIRSneuroimagingoptical imagingvirtual realityvisual systemvisual systems

Identifiers

PMID38202288
PMCPMC10779649

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.