A realistic locomotory model of Drosophila larva for behavioral simulations DOI Creative Commons
Panagiotis Sakagiannis, Anna-Maria Jürgensen, Martin Paul Nawrot

и другие.

bioRxiv (Cold Spring Harbor Laboratory), Год журнала: 2021, Номер unknown

Опубликована: Июль 8, 2021

Abstract The Drosophila larva is extensively used as model organism in neuroethological studies where precise behavioral tracking enables the statistical analysis of individual and population-level metrics that can inform mathematical models larval behavior. Here, we propose a hierarchical architecture comprising three layers to facilitate modular construction, closed-loop simulations, direct comparisons between empirical simulated data. At basic layer, autonomous locomotory capable performing exploration. Based on novel kinematic analyses our features intermittent forward crawling phasically coupled lateral bending. second navigation achieved via active sensing environment top-down modulation locomotion. top adaptation entails associative learning. We evaluate virtual behavior across agent-based simulations free exploration, chemotaxis, odor preference testing. Our ideally suited for combination neuromechanical, neural or mere components, facilitating their evaluation, comparison, extension integration into multifunctional control architectures.

Язык: Английский

Correlations between Dysphagia Severity Scale Scores and Clinical Indices in Individuals with Multiple System Atrophy DOI Creative Commons
Ryunosuke Nagao, Yasuaki Mizutani, Kazuya Kawabata

и другие.

Movement Disorders Clinical Practice, Год журнала: 2025, Номер unknown

Опубликована: Март 25, 2025

Dysphagia significantly impacts prognosis in individuals with multiple system atrophy (MSA). While video-based assessments are practical, their limited availability highlights the need for a simple tool such as Severity Scale (DSS) clinical practice. To evaluate utility of DSS assessing dysphagia MSA patients and its correlations indices. We examined 43 using other measures, including Unified Rating (UMSARS) cerebrospinal fluid 5-hydroxyindoleacetic acid levels. As follow-up, 11 underwent secondary evaluation. Spearman's correlation linear mixed models were used to analyze cross-sectional longitudinal relationships. scores correlated UMSARS Parts 1, 2, 4, well disease duration blood pressure changes. This indicates that is sensitive MSA-related motor autonomic dysfunctions, could provide more detailed assessment swallowing function compared Part 1 subscore. Additionally, score was Our analysis further supported role reliable marker progression over time. The practical evaluating dysphagia. Thus, combining improve monitoring MSA. data support use valuable research management.

Язык: Английский

Процитировано

0
A behavioral architecture for realistic simulations of Drosophila larva locomotion and foraging DOI Open Access
Panagiotis Sakagiannis, Anna-Maria Jürgensen, Martin Paul Nawrot

и другие.

Опубликована: Апрель 10, 2025

The Drosophila larva is extensively used as model organism in neuroethological studies where precise behavioral tracking enables the statistical analysis of individual and population-level metrics that can inform mathematical models larval behavior. Here, we propose a hierarchical architecture comprising three layers to facilitate modular construction, closed-loop simulations, direct comparisons between empirical simulated data. At basic layer, autonomous locomotory capable performing exploration. Based on novel kinematic analyses our features intermittent forward crawling phasically coupled lateral bending. second navigation achieved via active sensing environment top-down modulation locomotion. top adaptation entails associative learning. We evaluate virtual behavior across agent-based simulations free exploration, chemotaxis, odor preference testing. Our ideally suited for combination neuromechanical, neural or mere components, facilitating their evaluation, comparison, extension integration into multifunctional control architectures.

Язык: Английский

Процитировано

0
A behavioral architecture for realistic simulations of Drosophila larva locomotion and foraging DOI Open Access
Panagiotis Sakagiannis, Anna-Maria Jürgensen, Martin Paul Nawrot

и другие.

Опубликована: Апрель 10, 2025

The Drosophila larva is extensively used as model organism in neuroethological studies where precise behavioral tracking enables the statistical analysis of individual and population-level metrics that can inform mathematical models larval behavior. Here, we propose a hierarchical architecture comprising three layers to facilitate modular construction, closed-loop simulations, direct comparisons between empirical simulated data. At basic layer, autonomous locomotory capable performing exploration. Based on novel kinematic analyses our features intermittent forward crawling phasically coupled lateral bending. second navigation achieved via active sensing environment top-down modulation locomotion. top adaptation entails associative learning. We evaluate virtual behavior across agent-based simulations free exploration, chemotaxis, odor preference testing. Our ideally suited for combination neuromechanical, neural or mere components, facilitating their evaluation, comparison, extension integration into multifunctional control architectures.

Язык: Английский

Процитировано

0
A realistic locomotory model of Drosophila larva for behavioral simulations DOI Creative Commons
Panagiotis Sakagiannis, Anna-Maria Jürgensen, Martin Paul Nawrot

и другие.

bioRxiv (Cold Spring Harbor Laboratory), Год журнала: 2021, Номер unknown

Опубликована: Июль 8, 2021

Abstract The Drosophila larva is extensively used as model organism in neuroethological studies where precise behavioral tracking enables the statistical analysis of individual and population-level metrics that can inform mathematical models larval behavior. Here, we propose a hierarchical architecture comprising three layers to facilitate modular construction, closed-loop simulations, direct comparisons between empirical simulated data. At basic layer, autonomous locomotory capable performing exploration. Based on novel kinematic analyses our features intermittent forward crawling phasically coupled lateral bending. second navigation achieved via active sensing environment top-down modulation locomotion. top adaptation entails associative learning. We evaluate virtual behavior across agent-based simulations free exploration, chemotaxis, odor preference testing. Our ideally suited for combination neuromechanical, neural or mere components, facilitating their evaluation, comparison, extension integration into multifunctional control architectures.

Язык: Английский

Процитировано

10