ArticleFrontiers in computational neuroscience2020
Serotonergic Axons as Fractional Brownian Motion Paths: Insights Into the Self-Organization of Regional Densities.
Article in Frontiers in computational neuroscience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 38 citations in OpenAlex.
- The organization of serotonergic fibers in the Pacific angelshark brain: neuroanatomical and supercomputing analyses.Frontiers in neuroscience · 2025Article
- Brownian Aging as One of the Mechanistic Components That Shape the Single-Channel Ionic Currents through Biological and Synthetic Membranes.Membranes · 2023Article
- Predicting the distribution of serotonergic axons: a supercomputing simulation of reflected fractional Brownian motion in a 3D-mouse brain model.Frontiers in computational neuroscience · 2023Article
- An experimental platform for stochastic analyses of single serotonergic fibers in the mouse brain.Frontiers in neuroscience · 2023Article
- Weak Point of SARS-CoV-2: Human and Viral Ion Channels under External Physical Fields.International journal of molecular sciences · 2022Article
- Brain serotonergic fibers suggest anomalous diffusion-based dropout in artificial neural networks.Frontiers in neuroscience · 2022Article
- High-resolution spatiotemporal analysis of single serotonergic axons in anFrontiers in neuroscience · 2022Article
- Reflected fractional Brownian motion in one and higher dimensions.Physical review. E · 2020Article
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Authors and funding
4 authors at 3 institutions in 2 countries.
Funding
Abstract
All vertebrate brains contain a dense matrix of thin fibers that release serotonin (5-hydroxytryptamine), a neurotransmitter that modulates a wide range of neural, glial, and vascular processes. Perturbations in the density of this matrix have been associated with a number of mental disorders, including autism and depression, but its self-organization and plasticity remain poorly understood. We introduce a model based on reflected Fractional Brownian Motion (FBM), a rigorously defined stochastic process, and show that it recapitulates some key features of regional serotonergic fiber densities. Specifically, we use supercomputing simulations to model fibers as FBM-paths in two-dimensional brain-like domains and demonstrate that the resultant steady state distributions approximate the fiber distributions in physical brain sections immunostained for the serotonin transporter (a marker for serotonergic axons in the adult brain). We suggest that this framework can support predictive descriptions and manipulations of the serotonergic matrix and that it can be further extended to incorporate the detailed physical properties of the fibers and their environment.
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Registered trials
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