Article

Deep Learning Behavioral Phenotyping System in the Diagnosis of Parkinson’s Disease with Drosophila melanogaster

2024-02-24

Abstract excerpt

Drosophila Melanogaster is widely used as animal models for Parkinson’s disease (PD) research. Because of the complexity of MoCap and quantitative assessment among Drosophila Melanogaster , however, there is a technical issue that identify PD symptoms within drosophila based on objective spontaneous behavioral characteristics. Here, we developed a deep learning framework generated from kinematic features of body...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: a4084b0f-87b2-5e37-9e29-4e6019491024
DOI: 10.1101/2024.02.23.581846

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Deep Learning Behavioral Phenotyping System in the Diagnosis of Parkinson’s Disease with Drosophila melanogasterDOI 10.1101/2024.02.23.581846Read

Automated leg tracking reveals distinct conserved gait and tremor signatures in <i>Drosophila</i> models of Parkinson’s Disease and Spinocerebellar ataxia 3Semantic proximity Read

Sub-second analysis of locomotor activity in Parkinsonian miceSemantic proximity Read

Detection of early locomotor abnormalities in a Drosophila model of Alzheimer's diseaseSemantic proximity Read

Machine learning discriminates a movement disorder in a zebrafish model of Parkinson's disease.Semantic proximity Read

A Hierarchical 3D-motion Learning Framework for Animal Spontaneous Behavior MappingSemantic proximity Read

Identification of kinematic biomarkers for self-reported Parkinson's disease symptomsSemantic proximity Read

A comprehensive deep learning model for motor phenotypes of Parkinson's disease using three-dimensional kinect V2 detectors.Semantic proximity Read

Convolutional neural network-based detection of early-stage Parkinson’s disease using the six-minute walk testSemantic proximity Read

CASTLE: a training-free foundation-model pipeline for cross-species behavioral classificationSemantic proximity Read

DeepEthogram: a machine learning pipeline for supervised behavior classification from raw pixelsSemantic proximity Read

Deep Learning-Driven Gender Classification of <i>Drosophila melanogaster</i> : Advancing Real-Time Analysis with Mobile IntegrationSemantic proximity Read

Impaired Pre‐Motor Circuit Activity and Movement in a Drosophila Model of KCNMA1 ‐Linked DyskinesiaSemantic proximity Read