Evidence map›Paper›PMID 41311559›Full record

ArticleMethods in Psychology (Online)2025

Quantifying Exploratory Behavior In The Human Behavioral Pattern Monitor Using Automated Video Tracking.

Holden Rosberg, Alannah Miranda, Breanna M Holloway, Zhanqi Zhang, Elizabeth Peek, Richard F Sharp, Mark A Geyer, Jared W Young, William Perry, Arpi Minassian

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Methods in Psychology (Online), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Holden RosbergDepartment of Psychiatry, University of California San Diego, La Jolla, CA.
Alannah MirandaDepartment of Psychiatry, University of California San Diego, La Jolla, CA.
Breanna M HollowayDepartment of Psychiatry, University of California San Diego, La Jolla, CA.
Zhanqi ZhangDepartment of Computer Science and Engineering, University of California San Diego, La Jolla, CA.
Elizabeth PeekDepartment of Psychiatry, University of California San Diego, La Jolla, CA.
Richard F SharpDepartment of Psychiatry, University of California San Diego, La Jolla, CA.
Mark A GeyerDepartment of Psychiatry, University of California San Diego, La Jolla, CA.
Jared W YoungDepartment of Psychiatry, University of California San Diego, La Jolla, CA.
William PerryDepartment of Psychiatry, University of California San Diego, La Jolla, CA.
Arpi MinassianDepartment of Psychiatry, University of California San Diego, La Jolla, CA.

Funding

Fellowship on Biological Psychiatry and NeuroscienceT32MH018399 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Pei-an (Betty) Shih · 1986 to 2026
$7.3M
Interdisciplinary Research Fellowship in NeuroAIDSR25MH081482 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI MARIANA CHERNER · 2007 to 2026
$5.2M
Translational Studies of Cannabis Administration, Cognition, and the Endocannabinoid System in HIVR01DA051295 · NIDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI MINASSIAN, ARPI, YOUNG, JARED WILLIAM · 2021 to 2025
$4.3M
Cannabis use and the endocannabinoid system in bipolar disorderR01DA043535 · NIDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI PERRY, WILLIAM, YOUNG, JARED WILLIAM · 2018 to 2022
$3.3M
NIDA NIH HHS R01 DA043535NIDA NIH HHS R01 DA051295NIMH NIH HHS R25 MH081482NIMH NIH HHS T32 MH018399
6 · The paper itself

Abstract

Exploration is an essential adaptive function across many species. Distinct exploratory behavior patterns have been observed across several neuropsychiatric conditions, such as schizophrenia and bipolar disorder, leading to the refinement of animal models of such neuropsychiatric diseases. The development of methodology to properly quantify exploratory behavior is critical for studying neuropsychiatric conditions. The human behavioral pattern monitor is a cross-species translatable open field test designed to measure exploratory behavior in clinical populations. Here we introduce the first example of how advances in machine learning techniques, can be used to bolster the collection of exploratory behavior in a laboratory setting.

Indexed as

Computer VisionHuman Behavioral Pattern MonitorTranslational Research Paradigms

Identifiers

PMID41311559
PMCPMC12657035

What Socratic holds

Textmetadata
LicenceTDM
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 Socratic graph.