Details

Autor(en) / Beteiligte

• Schmitt, Oliver
• Nitzsche, Christian
• Eipert, Peter
• Prathapan, Vishnu
• Hütt, Marc-Thorsten
• Hilgetag, Claus
• Kaiser, Marcus

Titel

Reaction-diffusion models in weighted and directed connectomes

Ist Teil von

• PLoS computational biology, 2022-10, Vol.18 (10), p.e1010507-e1010507

Ort / Verlag

San Francisco: Public Library of Science

Erscheinungsjahr

2022

Quelle

EZB Electronic Journals Library

Beschreibungen/Notizen

• Connectomes represent comprehensive descriptions of neural connections in a nervous system to better understand and model central brain function and peripheral processing of afferent and efferent neural signals. Connectomes can be considered as a distinctive and necessary structural component alongside glial, vascular, neurochemical, and metabolic networks of the nervous systems of higher organisms that are required for the control of body functions and interaction with the environment. They are carriers of functional epiphenomena such as planning behavior and cognition, which are based on the processing of highly dynamic neural signaling patterns. In this study, we examine more detailed connectomes with edge weighting and orientation properties, in which reciprocal neuronal connections are also considered. Diffusion processes are a further necessary condition for generating dynamic bioelectric patterns in connectomes. Based on our high-precision connectome data, we investigate different diffusion-reaction models to study the propagation of dynamic concentration patterns in control and lesioned connectomes. Therefore, differential equations for modeling diffusion were combined with well-known reaction terms to allow the use of connection weights, connectivity orientation and spatial distances.