Evidence map›Paper›PMID 36788803›Full record

ArticleNeurophotonics2023

Illuminating neurodegeneration: a future perspective on near-infrared spectroscopy in dementia research.

Sruthi Srinivasan, Emilia Butters, Liam Collins-Jones, Li Su, John O'Brien, Gemma Bale

Open access · goldAbstract read
In one paragraph

Article in Neurophotonics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 2 pooled it
3.7field-weighted citation impact, top 7% 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

12 citing papers in PubMed, 2 syntheses or guidelines pooled it, 16 citations in OpenAlex.

  1. Pooled it
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  6. Optical Taxonomic Signal and the Diagnosis of Alzheimer's Disease.IEEE open journal of engineering in medicine and biology · 2025
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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

6 authors at 3 institutions in 1 country.

Sruthi SrinivasanUniversity of Cambridge, Department of Engineering, Electrical Engineering, Cambridge, United Kingdom.ORCID https://orcid.org/0000-0002-7701-4879
Emilia ButtersUniversity of Cambridge, Department of Engineering, Electrical Engineering, Cambridge, United Kingdom.ORCID https://orcid.org/0000-0003-4409-8284
Liam Collins-JonesUniversity College London, Department of Medical Physics, London, United Kingdom.ORCID https://orcid.org/0000-0003-0372-8366
Li SuUniversity of Cambridge, Department of Psychiatry, Cambridge, United Kingdom.
John O'BrienUniversity of Cambridge, Department of Psychiatry, Cambridge, United Kingdom.
Gemma BaleUniversity of Cambridge, Department of Engineering, Electrical Engineering, Cambridge, United Kingdom.ORCID https://orcid.org/0000-0002-2709-2035
University of Cambridge · GBUniversity College London · GBUniversity of Sheffield · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Significance: Dementia presents a global healthcare crisis, and neuroimaging is the main method for developing effective diagnoses and treatments. Yet currently, there is a lack of sensitive, portable, and low-cost neuroimaging tools. As dementia is associated with vascular and metabolic dysfunction, near-infrared spectroscopy (NIRS) has the potential to fill this gap. Aim: This future perspective aims to briefly review the use of NIRS in dementia to date and identify the challenges involved in realizing the full impact of NIRS for dementia research, including device development, study design, and data analysis approaches. Approach: We briefly appraised the current literature to assess the challenges, giving a critical analysis of the methods used. To assess the sensitivity of different NIRS device configurations to the brain with atrophy (as is common in most forms of dementia), we performed an optical modeling analysis to compare their cortical sensitivity. Results: The first NIRS dementia study was published in 1996, and the number of studies has increased over time. In general, these studies identified diminished hemodynamic responses in the frontal lobe and altered functional connectivity in dementia. Our analysis showed that traditional (low-density) NIRS arrays are sensitive to the brain with atrophy (although we see a mean decrease of 22% in the relative brain sensitivity with respect to the healthy brain), but there is a significant improvement (a factor of 50 sensitivity increase) with high-density arrays. Conclusions: NIRS has a bright future in dementia research. Advances in technology - high-density devices and intelligent data analysis-will allow new, naturalistic task designs that may have more clinical relevance and increased reproducibility for longitudinal studies. The portable and low-cost nature of NIRS provides the potential for use in clinical and screening tests.

Indexed as

Alzheimer’s diseasedementiafunctional brain monitoringnear-infrared spectroscopy

Identifiers

PMID36788803
PMCPMC9917719
OpenAlexW4319879476

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.