Evidence map›Paper›PMID 39024163›Full record

ArticlePain2024

Development of PainFace software to simplify, standardize, and scale up mouse grimace analyses.

Eric S McCoy, Sang Kyoon Park, Rahul P Patel, Dan F Ryan, Zachary J Mullen, Jacob J Nesbitt, Josh E Lopez, Bonnie Taylor-Blake, Kelly A Vanden, James L Krantz and 16 more

Abstract read
In one paragraph

Article in Pain, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing 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

33 citing papers in PubMed.

  1. Review
  2. Article
  3. Deep Learning-Based Quantification of Spontaneous Pain Behaviours in Mice.European journal of pain (London, England) · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Tail-rattling in rodents: more than a threat display.Journal of comparative physiology. A, Neuroethology, sensory, neural, and behavioral physiology · 2026
    Review
  9. Article
  10. Article
  11. Efferent Inhibition of Hair Cells: Past, Present and Future.Journal of the Association for Research in Otolaryngology : JARO · 2026
    Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. 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

26 authors.

Eric S McCoyUNC Neuroscience Center, The University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.
Sang Kyoon ParkPsychiatry, The University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.
Rahul P PatelUNC Neuroscience Center, The University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.
Dan F RyanUNC Neuroscience Center, The University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.
Zachary J MullenKitware, Inc, Carrboro, NC, United States.
Jacob J NesbittKitware, Inc, Carrboro, NC, United States.
Josh E LopezUNC Neuroscience Center, The University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.
Bonnie Taylor-BlakeUNC Neuroscience Center, The University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.
Kelly A VandenUNC Neuroscience Center, The University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.
James L KrantzUNC Neuroscience Center, The University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.
Wenxin HuUNC Neuroscience Center, The University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.
Rosanna L GarrisUNC Neuroscience Center, The University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.
Magdalyn G SnyderUNC Neuroscience Center, The University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.
Lucas V LimaDepartments of Psychology and Anesthesia, Alan Edwards Centre for Research on Pain, McGill University, Montreal, QC, Canada.
Susana G SotocinalDepartments of Psychology and Anesthesia, Alan Edwards Centre for Research on Pain, McGill University, Montreal, QC, Canada.
Jean-Sebastien AustinDepartments of Psychology and Anesthesia, Alan Edwards Centre for Research on Pain, McGill University, Montreal, QC, Canada.
Adam D KashlanUNC Neuroscience Center, The University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.
Sanya ShahUNC Neuroscience Center, The University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.ORCID 0000-0002-5004-9270
Abigail K TrocinskiUNC Neuroscience Center, The University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.
Samhitha S PudipeddiUNC Neuroscience Center, The University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.
Rami M MajorUNC Neuroscience Center, The University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.
Hannah O BazickUNC Neuroscience Center, The University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.
Morgan R KleinUNC Neuroscience Center, The University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.
Jeffrey S MogilDepartments of Psychology and Anesthesia, Alan Edwards Centre for Research on Pain, McGill University, Montreal, QC, Canada.
Guorong WuPsychiatry, The University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.
Mark J ZylkaUNC Neuroscience Center, The University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.ORCID 0000-0003-0911-7902

Funding

Development of a deep neural network to measure spontaneous pain from mouse facial expressionsR01NS114259 · NINDS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI ZYLKA, MARK J. · 2020 to 2024
$1.9M
NINDS NIH HHS R01 NS114259
6 · The paper itself

Abstract

abstractFacial grimacing is used to quantify spontaneous pain in mice and other mammals, but scoring relies on humans with different levels of proficiency. Here, we developed a cloud-based software platform called PainFace ( http://painface.net ) that uses machine learning to detect 4 facial action units of the mouse grimace scale (orbitals, nose, ears, whiskers) and score facial grimaces of black-coated C57BL/6 male and female mice on a 0 to 8 scale. Platform accuracy was validated in 2 different laboratories, with 3 conditions that evoke grimacing-laparotomy surgery, bilateral hindpaw injection of carrageenan, and intraplantar injection of formalin. PainFace can generate up to 1 grimace score per second from a standard 30 frames/s video, making it possible to quantify facial grimacing over time, and operates at a speed that scales with computing power. By analyzing the frequency distribution of grimace scores, we found that mice spent 7x more time in a "high grimace" state following laparotomy surgery relative to sham surgery controls. Our study shows that PainFace reproducibly quantifies facial grimaces indicative of nonevoked spontaneous pain and enables laboratories to standardize and scale-up facial grimace analyses.

Indexed as

Facial ExpressionMice, Inbred C57BLPain MeasurementSoftwareAnimalsFemaleMaleMicePain

Identifiers

PMID39024163
PMCPMC11287051

What OpenQuestion holds

Textmetadata
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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.