Evidence map›Paper›PMID 35874933›Full record

ReviewNeurophotonics2022

Deep learning in fNIRS: a review.

Condell Eastmond, Aseem Subedi, Suvranu De, Xavier Intes

Abstract readReview
In one paragraph

Review in Neurophotonics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers.

0numbers the graph read from it
0cells of the map it votes in
62citing 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

62 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. HRNeurophotonics · 2026
    Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

2 more citing papers are in PubMed but not listed here.

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

4 authors.

Condell EastmondCenter for Modeling, Simulation and Imaging for Medicine, Rensselaer Polytechnic, Department of Biomedical Engineering, Troy, New York, United States.
Aseem SubediCenter for Modeling, Simulation and Imaging for Medicine, Rensselaer Polytechnic, Department of Biomedical Engineering, Troy, New York, United States.
Suvranu DeCenter for Modeling, Simulation and Imaging for Medicine, Rensselaer Polytechnic, Department of Biomedical Engineering, Troy, New York, United States.
Xavier IntesCenter for Modeling, Simulation and Imaging for Medicine, Rensselaer Polytechnic, Department of Biomedical Engineering, Troy, New York, United States.ORCID https://orcid.org/0000-0001-5868-4845

Funding

Physically Realistic Virtual SurgeryR01EB005807 · NIBIB · RENSSELAER POLYTECHNIC INSTITUTE · PI DE, SUVRANU, JACKSON, CULLEN DAVIS · 2006 to 2024
$7.0M
Developing Physics-Based Virtual Simulation Technology for Natural Orifice TranslR01EB009362 · NIBIB · RENSSELAER POLYTECHNIC INSTITUTE · PI CAO, CAROLINE GL, DE, SUVRANU · 2011 to 2014
$2.6M
Development and Validation of a Virtual Electrosurgical Skill Trainer (VEST)R01EB014305 · NIBIB · RENSSELAER POLYTECHNIC INSTITUTE · PI CAO, CAROLINE GL, DE, SUVRANU · 2012 to 2016
$2.5M
Developing a Virtual Basic Laparoscopic Skill Trainer (VBLaST)R01EB010037 · NIBIB · RENSSELAER POLYTECHNIC INSTITUTE · PI CAO, CAROLINE GL, DE, SUVRANU · 2010 to 2013
$2.0M
Time-Resolved Wide-Field Molecular Optical TomographyR01EB019443 · NIBIB · RENSSELAER POLYTECHNIC INSTITUTE · PI INTES, XAVIER · 2015 to 2018
$1.7M
NIBIB NIH HHS R01 EB005807NIBIB NIH HHS R01 EB009362NIBIB NIH HHS R01 EB010037NIBIB NIH HHS R01 EB014305NIBIB NIH HHS R01 EB019443
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

biophotonicsbrain–machine interfacedata processingfunctional near-infrared spectroscopyreal-time imaging

Identifiers

PMID35874933
PMCPMC9301871

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.