Evidence map›Paper›PMID 39555788›Full record

ArticleJournal of visualized experiments : JoVE2024

An Automated Squint Method for Time-syncing Behavior and Brain Dynamics in Mouse Pain Studies.

Nathan McCutcheon, Micah S Johnson, Brandon Rea, Mahnoor Ghumman, Levi Sowers, Rainbo Hultman

Abstract readVideo-Audio Media
In one paragraph

Article in Journal of visualized experiments : JoVE, 2024. 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. PACAP versus CGRP in migraine: From mouse models to clinical translation.Cephalalgia : an international journal of headache · 2025
    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

6 authors.

Nathan McCutcheon *Department of Molecular Physiology & Biophysics, University of Iowa.
Micah S Johnson *Department of Molecular Physiology & Biophysics, University of Iowa.
Brandon ReaDepartment of Pediatrics, University of Iowa.
Mahnoor GhummanDepartment of Molecular Physiology & Biophysics, University of Iowa.
Levi SowersDepartment of Pediatrics, University of Iowa; VA Center for the Prevention and Treatment of Visual Loss.
Rainbo HultmanDepartment of Molecular Physiology & Biophysics, University of Iowa; Department of Psychiatry, University of Iowa; rainbo-hultman@uiowa.edu.

Funding

Electrical connectomics: an innovative approach for dissecting brain mechanisms underlying behavioral statesDP2MH126377 · NIMH · UNIVERSITY OF IOWA · PI HULTMAN, RAINBO · 2020 to 2023
$2.4M
RESEARCH TRAINING - NEUROBIOLOGYT32NS007112 · NINDS · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI POTTER, DAVID D · 1985 to 1999
–
NIMH NIH HHS DP2 MH126377NINDS NIH HHS T32 NS007112RRD VA I01 RX003523
6 · The paper itself

Abstract

Spontaneous pain has been challenging to track in real time and quantify in a way that prevents human bias. This is especially true for metrics of head pain, as in disorders such as migraine. Eye squint has emerged as a continuous variable metric that can be measured over time and is effective for predicting pain states in such assays. This paper provides a protocol for the use of DeepLabCut (DLC) to automate and quantify eye squint (Euclidean distance between eyelids) in restrained mice with freely rotating head motions. This protocol enables unbiased quantification of eye squint to be paired with and compared directly against mechanistic measures such as neurophysiology. We provide an assessment of AI training parameters necessary for achieving success as defined by discriminating squint and non-squint periods. We demonstrate an ability to reliably track and differentiate squint in a CGRP-induced migraine-like phenotype at a sub second resolution.

Indexed as

Migraine DisordersAnimalsBehavior, AnimalBrainMicePain

Identifiers

PMID39555788
PMCPMC12063739

What OpenQuestion holds

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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.