LabGym: Quantification of user-defined animal behaviors using learning-based holistic assessment

Hu, Yujia; Ferrario, Carrie R.; Maitland, Alexander D.; Ionides, Rita B.; Ghimire, Anjesh; Watson, Brendon O.; Iwasaki, Kenichi; White, H. Warren; Xi, Yitao; Zhou, Jie; Ye, Bing

doi:10.1016/j.crmeth.2023.100415

Cited by 14 publications

(10 citation statements)

References 41 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…During a first 15-min trial of forced swimming, mice shifted from active escape behaviors (wall climbing, robust swimming) to passive (immobile floating) behaviors. We carried out experiments using fiber photometry paired with automated computer-based behavior analysis ( Hu et al, 2023 ). The automated behavior scoring enabled high temporal resolution analysis of behaviors ( Video 4 ) and each frame of the video was coded for the classified behavior and plotted as a color-coded point.…”

Section: Resultsmentioning

confidence: 99%

Glutamatergic supramammillary nucleus neurons respond to threatening stressors and promote active coping

Escobedo,

Holloway,

Votoupal

et al. 2024

eLife

View full text Add to dashboard Cite

Threat-response neural circuits are conserved across species and play roles in normal behavior and psychiatric diseases. Maladaptive changes in these neural circuits contribute to stress, mood, and anxiety disorders. Active coping in response to stressors is a psychosocial factor associated with resilience against stress induced mood and anxiety disorders. The neural circuitry underlying active coping is poorly understood, but the functioning of these circuits could be key for overcoming anxiety and related disorders. The supramammillary nucleus (SuM) has been suggested to be engaged by threat. SuM has many projections and contains poorly understood diversity of populations. We identified a unique population of glutamatergic SuM neurons (SuMVGLUT2+::POA) based on projection to the POA and found SuMVGLUT2+::POA neurons have extensive arborizations. SuMVGLUT2+::POA neurons project to brain areas that mediate various features of the stress and threat responses including the paraventricular nucleus thalamus (PVT), periaqueductal gray (PAG), and the habenula (Hb). Thus, SuMVGLUT2+::POA neurons are positioned as hubs connecting to areas implicated regulating stress responses. Here we report SuMVGLUT2+::POA neurons are recruited by diverse threatening stressors and recruitment of SuMVGLUT2+::POA neurons correlated with active coping behaviors. We found that selective photoactivation of the SuMVGLUT2+::POA population drove aversion but not anxiety like behaviors. Activation of SuMVGLUT2+::POA neurons in the absence of acute stressors evoked active coping behaviors and drove goal directed behavior. Also, activation of SuMVGLUT2+::POA neurons was sufficient to convert passive coping strategies to active behaviors during acute stress. These findings establish a new node in stress response circuitry that has projections to many brain areas and evokes flexible active coping behaviors and offers new opportunities for furthering our neurobiological understanding of stress.

show abstract

Section: Resultsmentioning

confidence: 99%

Glutamatergic supramammillary nucleus neurons respond to threatening stressors and promote active coping

Escobedo,

Holloway,

Votoupal

et al. 2024

eLife

View full text Add to dashboard Cite

show abstract

“…The plate was covered with 750 µl water and pre-heated to 33°C. Behavioral responses were video recorded for 60 s. Videos were analyzed by LabGym software ( Hu et al, 2023 ).…”

Section: Methodsmentioning

confidence: 99%

The Drosophila homolog of APP promotes Dscam expression to drive axon terminal growth, revealing interaction between Down syndrome genes

Pizzano,

Sterne,

Veling

et al. 2023

Disease Models &Amp; Mechanisms

Self Cite

View full text Add to dashboard Cite

Down syndrome (DS) is caused by triplication of human chromosome 21 (HSA21). Although several HSA21 genes have been found to be responsible for aspects of DS, whether and how HSA21 genes interact with each other is poorly understood. DS patients and animal models present with a number of neurological changes, including aberrant connectivity and neuronal morphology. Previous studies have indicated that amyloid precursor protein (APP) and Down syndrome cell adhesion molecule (DSCAM) regulate neuronal morphology and contribute to neuronal aberrations in DS. Here, we report the functional interaction between the Drosophila homologs of these two genes, Amyloid precursor protein-like (Appl) and Dscam (Dscam1). We show that Appl requires Dscam to promote axon terminal growth in sensory neurons. Moreover, Appl increases Dscam protein expression post-transcriptionally. We further demonstrate that regulation of Dscam by Appl does not require the Appl intracellular domain or second extracellular domain. This study presents an example of functional interactions between HSA21 genes, providing insights into the pathogenesis of neuronal aberrations in DS.

show abstract

“…In recent years, deep learning technology in artificial intelligence has been employed to further enhance larval tracking and behavior analysis. These tools can track body parts without the need for specific markers, reduce the calculation cost, and improve behavior classification accuracy [DeepLabCut ( Mathis et al, 2018 ), TRex ( Walter and Couzin, 2021 ), and LabGym ( Hu et al, 2023 )]. These advancements in computer vision and deep learning technology have greatly expedited the analysis of larval locomotor behaviors and exploratory strategies.…”

Section: Exploration Of Environmentsmentioning

confidence: 99%

Linking neural circuits to the mechanics of animal behavior in Drosophila larval locomotion

Kohsaka

2023

Front. Neural Circuits

View full text Add to dashboard Cite

The motions that make up animal behavior arise from the interplay between neural circuits and the mechanical parts of the body. Therefore, in order to comprehend the operational mechanisms governing behavior, it is essential to examine not only the underlying neural network but also the mechanical characteristics of the animal’s body. The locomotor system of fly larvae serves as an ideal model for pursuing this integrative approach. By virtue of diverse investigation methods encompassing connectomics analysis and quantification of locomotion kinematics, research on larval locomotion has shed light on the underlying mechanisms of animal behavior. These studies have elucidated the roles of interneurons in coordinating muscle activities within and between segments, as well as the neural circuits responsible for exploration. This review aims to provide an overview of recent research on the neuromechanics of animal locomotion in fly larvae. We also briefly review interspecific diversity in fly larval locomotion and explore the latest advancements in soft robots inspired by larval locomotion. The integrative analysis of animal behavior using fly larvae could establish a practical framework for scrutinizing the behavior of other animal species.

show abstract

LabGym: Quantification of user-defined animal behaviors using learning-based holistic assessment

Cited by 14 publications

References 41 publications

Glutamatergic supramammillary nucleus neurons respond to threatening stressors and promote active coping

Glutamatergic supramammillary nucleus neurons respond to threatening stressors and promote active coping

The Drosophila homolog of APP promotes Dscam expression to drive axon terminal growth, revealing interaction between Down syndrome genes

Linking neural circuits to the mechanics of animal behavior in Drosophila larval locomotion

Contact Info

Product

Resources

About