Evidence map›Paper›PMID 42306926›Full record

ArticleThe European journal of neuroscience2026

Multifiber Array-Based Photometry System for Multiregional Functional Mapping in the Mouse Brain.

Manil Bradai, Mirna Merkler, Gabriela Gil, Rebecca Davie, Shuzo Sakata

Abstract read
In one paragraph

Article 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. Article
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

5 authors.

Manil BradaiStrathclyde Institute of Pharmacy and Biomedical Sciences, University of Strathclyde, Glasgow, UK.
Mirna MerklerStrathclyde Institute of Pharmacy and Biomedical Sciences, University of Strathclyde, Glasgow, UK.ORCID 0000-0001-8287-9095
Gabriela GilStrathclyde Institute of Pharmacy and Biomedical Sciences, University of Strathclyde, Glasgow, UK.
Rebecca DavieStrathclyde Institute of Pharmacy and Biomedical Sciences, University of Strathclyde, Glasgow, UK.
Shuzo SakataStrathclyde Institute of Pharmacy and Biomedical Sciences, University of Strathclyde, Glasgow, UK.ORCID 0000-0001-6796-411X

Funding

European Union's Horizon 2020 101016787Medical Research Council MR/Y004051/1
6 · The paper itself

Abstract

Mesoscopic functional brain mapping is essential for a better understanding of various brain functions and dysfunctions. However, accessing distributed neural circuits in mammalian brain regions remains a significant challenge. While fiber photometry is a versatile optical approach, existing methods often suffer from invasiveness and limited scalability. Here we present an affordable multifiber array (MFA)-based photometry system to monitor neural signals across multiple regions. Our system comprises a custom-designed MFA utilizing 50-μm diameter optical fibers and off-the-shelf optical components. To demonstrate the system's versatility, we monitored GABAergic population activity using jGCaMP8s across multiple brain regions in head-fixed, awake mice. By combining this approach with pupillometry, we identified state-dependent, region-specific GABAergic dynamics. Our MFA-based photometry system opens new avenues for investigating state-dependent neural dynamics at the mesoscopic level. To facilitate wider adoption, all code and resources are publicly available on GitHub (https://github.com/Sakata-Lab/MFA).

Indexed as

BrainBrain MappingGABAergic NeuronsPhotometryAnimalsMaleMiceMice, Inbred C57BLOptical Fibersbrain statecell typefiber photometryGCaMPmesoscopic functional mapping

Identifiers

PMID42306926
PMCPMC13273707

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.