Evidence map›Paper›PMID 42442776›Full record

ReviewThe European journal of neuroscience2026

The Diverse Role of ipRGCs in Visual Perception Beyond Non-Image-Forming Functions.

Kashish Parnami, Anwesha Bhattacharyya

Abstract readReview
In one paragraph

Review in The European journal of neuroscience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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.

Kashish ParnamiAmity Institute of Neuropsychology and Neurosciences, Amity University, Noida, Uttar Pradesh, India.
Anwesha BhattacharyyaAmity Institute of Neuropsychology and Neurosciences, Amity University, Noida, Uttar Pradesh, India.ORCID 0000-0001-5334-1341

Funding

Anusandhan National Research Foundation (ANRF) formerly Science and Engineering Research Board (SERB) RJF/2019/000040Council of Scientific and Industrial Research, India 09/0915(23668)/2025-EMR-I
6 · The paper itself

Abstract

The intrinsically photosensitive retinal ganglion cells (ipRGCs) are the third class of photoreceptors apart from rods and cones, containing the photopigment melanopsin and are characterized into different subtypes (M1-M6) that support conscious visual perception. They transmit the light information to the brain through complex circuits serving both non-image-forming and image-forming functions. Of the total population, there are four main ipRGCs, such as M2, M4, M5 and M6 that project substantially to the image-forming visual pathway and target the dorsal lateral geniculate nucleus (dLGN). Recent research has shown that they can modulate the excitatory and inhibitory balance in the primary visual cortex (V1) and thereby boost cortical computations for orientation discrimination. However, the projections of these ipRGCs to the V1 and how they integrate melanopsin signals with the conventional retinal ganglion cells is not yet clear. In this review, we summarize the morphological, physiological and behavioural characteristics of the ipRGC population that project to dLGN and contribute to image processing. Further research to understand how they can potentially enhance sensory representations in the visual cortex would offer therapeutic advantage in several eye diseases causing blindness.

Indexed as

Retinal Ganglion CellsVisual PerceptionAnimalsGeniculate BodiesHumansMelanopsinPrimary Visual CortexRod OpsinsVisual CortexVisual PathwaysMelanopsinRod Opsinscontrast detectionimage processingintrinsically photosensitive retinal ganglion cells (ipRGCs)melanopsinprimary visual cortex (V1)retinavisual perception

Identifiers

PMID42442776
PMCPMC13364480

What OpenQuestion holds

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Registered trials

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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.