Evidence map›Paper›PMID 41169197›Full record

ArticleNeural regeneration research2026

Lights for aging: Can photobiomodulation restore functionality in the cerebral networks of aged individuals?

Marjorie Dole, John Mitrofanis

Abstract read
In one paragraph

Article in Neural regeneration research, 2026. 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

2 authors.

Marjorie DoleUniversity Grenoble Alpes, Fonds Clinatec, Grenoble, France.ORCID 0009-0008-5218-9569
John MitrofanisUniversity Grenoble Alpes, Fonds Clinatec, Grenoble, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Of all our organs, the brain is particularly prone to aging. The neurons become increasingly more dysfunctional with age, leading to less efficient patterns of functional connectivity, not only within, but also between the different large-scale resting-state networks. Further, the aged brain shows weaker, less efficient patterns of activation when undertaking a particular task, such as a motor movement or recalling a memory. Quite remarkably, however, compensatory mechanisms do develop, where other brain regions are recruited to help perform the tasks. There is, however, much variability across different individuals in the ability to recruit such compensatory processes, and this has been referred to as cognitive reserve or resilience. In addition to these neuronal dysfunctions, the aged brain suffers from widespread inflammation. In terms of options to slow the aging process, there is nothing specific on offer, except for some recommendations to live a healthier life (e.g., change in diet, more exercise, and cognitive training). In this narrative review, we explore the idea that the use of red and near infrared light, referred to often as photobiomodulation, can slow neuronal wear and tear, reduce inflammation, enhance the overall function of the cerebral networks, and improve the quality of life in aged individuals. We hypothesize that the application of these specific wavelengths of light has the potential to improve aged-induced cell dysfunction and death, leading to a restoration of more functional patterns of activity across the aged brain and reducing the risk of developing a neurological disorder such as stroke or neurodegenerative disease.

Indexed as

agingfunctional connectivitymitochondrianear infraredneural regenerationphotobiomodulationred light

Identifiers

PMID41169197
PMCPMC13557696

What Socratic holds

Textmetadata
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.