Evidence map›Paper›PMID 36854332›Full record

ReviewJournal of clinical neurology (Seoul, Korea)2023

Functional Near-Infrared Spectroscopy as a Personalized Digital Healthcare Tool for Brain Monitoring.

Zephaniah Phillips V, Raymart Jay Canoy, Seung-Ho Paik, Seung Hyun Lee, Beop-Min Kim

Erratum issuedOpen access · diamondAbstract readReview
In one paragraph

Review in Journal of clinical neurology (Seoul, Korea), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
4.8field-weighted citation impact, top 5% 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

14 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. [A deep transfer learning approach for cross-subject recognition of mental tasks based on functional near-infrared spectroscopy].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2024
    Article
  12. Review
  13. Article
  14. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 2 countries.

Zephaniah Phillips VGlobal Health Technology Research Center, College of Health Science, Korea University, Seoul, Korea. zphillips@korea.ac.kr.ORCID https://orcid.org/0000-0001-7357-7589
Raymart Jay CanoyProgram in Biomicro System Technology, College of Engineering, Korea University, Seoul, Korea.ORCID https://orcid.org/0000-0003-2371-2900
Seung-Ho PaikGlobal Health Technology Research Center, College of Health Science, Korea University, Seoul, Korea.ORCID https://orcid.org/0000-0001-6993-3229
Seung Hyun LeeInterdisciplinary Program in Precision Public Health, Korea University, Seoul, Korea.ORCID https://orcid.org/0000-0002-1109-6787
Beop-Min KimDepartment of Bio-Convergence Engineering, Korea University, Seoul, Korea.ORCID https://orcid.org/0000-0002-1056-5078
Korea University · KRKorea University · JP

Funding

Korea Health Industry Development Institute HI14C3477Korea Medical Device Development Fund KMDF-RS-2022-00140478
6 · The paper itself

Abstract

The sustained growth of digital healthcare in the field of neurology relies on portable and cost-effective brain monitoring tools that can accurately monitor brain function in real time. Functional near-infrared spectroscopy (fNIRS) is one such tool that has become popular among researchers and clinicians as a practical alternative to functional magnetic resonance imaging, and as a complementary tool to modalities such as electroencephalography. This review covers the contribution of fNIRS to the personalized goals of digital healthcare in neurology by identifying two major trends that drive current fNIRS research. The first major trend is multimodal monitoring using fNIRS, which allows clinicians to access more data that will help them to understand the interconnection between the cerebral hemodynamics and other physiological phenomena in patients. This allows clinicians to make an overall assessment of physical health to obtain a more-detailed and individualized diagnosis. The second major trend is that fNIRS research is being conducted with naturalistic experimental paradigms that involve multisensory stimulation in familiar settings. Cerebral monitoring of multisensory stimulation during dynamic activities or within virtual reality helps to understand the complex brain activities that occur in everyday life. Finally, the scope of future fNIRS studies is discussed to facilitate more-accurate assessments of brain activation and the wider clinical acceptance of fNIRS as a medical device for digital healthcare.

Indexed as

cerebral oxygenationdiffuse opticsdigital healthcarefunctional near-infrared spectroscopyoptical monitoring

Identifiers

PMID36854332
PMCPMC9982178
OpenAlexW4322575544

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.