Evidence map›Paper›PMID 40073228›Full record

ArticleeLife2025

A statistical framework for analysis of trial-level temporal dynamics in fiber photometry experiments.

Gabriel Loewinger, Erjia Cui, David Lovinger, Francisco Pereira

Abstract read
In one paragraph

Article in eLife, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. ABEL: an active-learning behavior estimation and labeling platform.bioRxiv : the preprint server for biology · 2026
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Gabriel LoewingerMachine Learning Core, National Institute of Mental Health, Bethesda, United States.ORCID https://orcid.org/0000-0002-0755-8520
Erjia CuiDivision of Biostatistics and Health Data Science, University of Minnesota, Minneapolis, United States.
David LovingerLaboratory for Integrative Neuroscience, National Institute on Alcohol Abuse and Alcoholism, Rockville, United States.
Francisco PereiraMachine Learning Core, National Institute of Mental Health, Bethesda, United States.

Funding

Corticostriatal mechanisms of action learning and habit formationZIAAA000416 · NIAAA · NATIONAL INSTITUTE ON ALCOHOL ABUSE AND ALCOHOLISM · PI LOVINGER, DAVID M · 2009 to 2025
$25.2M
Machine Learning TeamZICMH002968 · NIMH · NATIONAL INSTITUTE OF MENTAL HEALTH · PI PEREIRA, FRANCISCO · 2018 to 2025
$13.9M
Intramural NIH HHS ZIA AA000416Intramural NIH HHS ZIC MH002968NIAAA NIH HHS ZIAAA000416NIMH NIH HHS ZIC-MH002968
6 · The paper itself

Abstract

Fiber photometry has become a popular technique to measure neural activity in vivo, but common analysis strategies can reduce the detection of effects because they condense

Indexed as

PhotometryAnimalsTime Factorscomputational biologydopaminefiber photometryfunctional data analysismixed modelsneurosciencenonestatisticssystems biology

Identifiers

PMID40073228
PMCPMC11903033

What OpenQuestion holds

Textmetadata
LicenceCC0
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.