In moving animal groups, social interactions play a key role in the ability of individuals to achieve coordinated motion. However, a large number of environmental and cognitive factors are able to modulate the expression of these interactions and the characteristics of the collective movements that result from these interactions. Here, we use a data-driven fish school model to quantitatively investigate the impact of perceptual and cognitive factors on coordination and collective swimming patterns. The model describes the interactions involved in the coordination of burst-and-coast swimming in groups of Hemigrammus rhodostomus. We perform a comprehensive investigation of the respective impacts of two interactions strategies between fish based on the selection of the most or the two most influential neighbors, of the range and intensity of social interactions, of the intensity of individual random behavioral fluctuations, and of the group size, on the ability of groups of fish to coordinate their movements. We find that fish are able to coordinate their movements when they interact with their most or two most influential neighbors, provided that a minimal level of attraction between fish exist to maintain group cohesion. A minimal level of alignment is also required to allow the formation of schooling and milling. However, increasing the strength of social interactions does not necessarily enhance group cohesion and coordination. When attraction and alignment strengths are too high, or when the heading random fluctuations are too large, schooling and milling can no longer be maintained and the school switches to a swarming phase. Increasing the interaction range between fish has a similar impact on collective dynamics as increasing the strengths of attraction and alignment. Finally, we find that coordination and schooling occurs for a wider range of attraction and alignment strength in small group sizes.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8932591PMC
http://dx.doi.org/10.1371/journal.pcbi.1009437DOI Listing

Publication Analysis

Top Keywords

cognitive factors
12
social interactions
12
attraction alignment
12
perceptual cognitive
8
data-driven fish
8
fish school
8
school model
8
influential neighbors
8
fish coordinate
8
coordinate movements
8

Similar Publications

Introduction: Non-motor symptoms (NMS) in Parkinson's disease (PD) can fluctuate daily, impacting patient quality of life. The Non-Motor Fluctuation Assessment (NoMoFA) Questionnaire, a recently validated tool, quantifies NMS fluctuations during ON- and OFF-medication states. Our study aimed to validate the Italian version of NoMoFA, comparing its results to the original validation and further exploring its clinimetric properties.

View Article and Find Full Text PDF

Alexithymia in Parkinson's Disease: A Meta-analysis.

Am J Geriatr Psychiatry

December 2024

HM CINAC (Centro Integral de Neurociencias Abarca Campal) (RFF, CDTP, CGS), Hospital Universitario HM Puerta del Sur, HM Hospitales. Madrid, Spain; Instituto de Investigación Sanitaria HM Hospitales (RFF, CDTP, CGS), Madrid, Spain; Network Center for Biomedical Research on Neurodegenerative Diseases (CIBERNED) (CGS), Instituto Carlos III, Madrid, Spain; University CEU-San Pablo (CGS), Madrid, Spain. Electronic address:

Parkinson's disease (PD) is a neurodegenerative disorder characterized by motor and non-motor manifestations, including alexithymia. This condition is defined by difficulty in recognizing, articulating, and expressing one's emotional states. In this study, we conducted a systematic review and meta-analysis to compare the prevalence of alexithymia in PD patients and a healthy population, and to identify associated demographic and clinical factors.

View Article and Find Full Text PDF

Background: Severe or recurring major depression is associated with increased adverse childhood experiences (ACEs), heightened atherogenicity, and immune-linked neurotoxicity (INT). Nevertheless, the interconnections among these variables in outpatient major depression (OMDD) have yet to be determined. We aim to determine the correlations among INT, atherogenicity, and ACEs in OMDD patients compared to normal controls.

View Article and Find Full Text PDF

Microglia-like cells from patient monocytes demonstrate increased phagocytic activity in probable Alzheimer's disease.

Mol Cell Neurosci

December 2024

Izmir Biomedicine and Genome Center, Dokuz Eylul University Health Campus, Izmir, Türkiye; Izmir International Biomedicine and Genome Institute, Dokuz Eylul University, Izmir, Türkiye; Department of Neuroscience, Institute of Health Sciences, Dokuz Eylul University, Izmir, Türkiye. Electronic address:

Alzheimer's disease (AD) is a neurodegenerative disorder that is characterized by the accumulation of amyloid plaques, phosphorylated tau tangles and microglia toxicity, resulting in neuronal death and cognitive decline. Since microglia are recognized as one of the key players in the disease, it is crucial to understand how microglia operate in disease conditions and incorporate them into models. The studies on human microglia functions are thought to reflect the post-symptomatic stage of the disease.

View Article and Find Full Text PDF

Metabolic factors modulate effort-based decision-making in major depressive disorder.

J Affect Disord

December 2024

Mood Disorders Psychopharmacology Unit, University Health Network, Toronto, ON, Canada; Institute of Medical Science, University of Toronto, Toronto, ON, Canada; Department of Psychiatry, University of Toronto, Toronto, ON, Canada. Electronic address:

Background: Abnormalities in effort-based decision-making have been consistently reported in major depressive disorder (MDD). Evidence indicates that metabolic factors, such as insulin resistance and dyslipidemia, which are highly prevalent in MDD, are independently associated with reward disturbances. Herein, we investigate the moderating effect of metabolic factors on effort-based decision-making in individuals with MDD.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!