Evidence map›Paper›PMID 42088024›Full record

ArticleImaging neuroscience (Cambridge, Mass.)

Towards the use of functional near-infrared spectroscopy as an assessment tool in disorders of consciousness.

Karnig Kazazian, Matthew Kolisnyk, Garima Gupta, Jack de Jeu, Androu Abdalmalak, Adrian M Owen

Abstract read
In one paragraph

Article in Imaging neuroscience (Cambridge, Mass.). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Karnig KazazianWestern Institute of Neuroscience, Western University, London, Canada.
Matthew KolisnykWestern Institute of Neuroscience, Western University, London, Canada.
Garima GuptaWestern Institute of Neuroscience, Western University, London, Canada.
Jack de JeuWestern Institute of Neuroscience, Western University, London, Canada.
Androu AbdalmalakWestern Institute of Neuroscience, Western University, London, Canada.
Adrian M OwenWestern Institute of Neuroscience, Western University, London, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Functional near-infrared spectroscopy (fNIRS) has emerged as a promising neuroimaging tool for assessing patients with disorders of consciousness (DoC). While functional magnetic resonance imaging (fMRI) and electroencephalography (EEG) have advanced the detection of covert brain function, their use is often constrained by accessibility, medical and physical contraindications, and practical limitations. fNIRS offers a portable, safe, and cost-effective alternative capable of measuring hemodynamic responses at the bedside. In this perspective, we discuss the clinical motivation for integrating fNIRS into DoC patient assessments, summarize recent advancements in the application of fNIRS for examining brain function, and outline the clinical and technical advantages. We highlight key future directions of fNIRS research, including large-scale validation, multimodal integration, and the development of fNIRS-based brain-computer interfaces. Finally, we address the ethical imperative to ensure equitable access to neurotechnologies capable of detecting covert brain function. With continued methodological refinement and standardization, fNIRS may significantly transform the diagnostic, prognostic, and communicative landscape of DoC care.

Indexed as

brain injurycognitionconsciousnesscovert awarenessdisorders of consciousnessfunctional near-infrared spectroscopy

Identifiers

PMID42088024
PMCPMC13137566

What Socratic 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 Socratic graph.