Literature DB >> 28030363

New dimensions of connectomics and network plasticity in the central nervous system.

Diego Guidolin, Manuela Marcoli, Guido Maura, Luigi F Agnati.   

Abstract

Cellular network architecture plays a crucial role as the structural substrate for the brain functions. Therefore, it represents the main rationale for the emerging field of connectomics, defined as the comprehensive study of all aspects of central nervous system connectivity. Accordingly, in the present paper the main emphasis will be on the communication processes in the brain, namely wiring transmission (WT), i.e. the mapping of the communication channels made by cell components such as axons and synapses, and volume transmission (VT), i.e. the chemical signal diffusion along the interstitial brain fluid pathways. Considering both processes can further expand the connectomics concept, since both WT-connectomics and VT-connectomics contribute to the structure of the brain connectome. A consensus exists that such a structure follows a hierarchical or nested architecture, and macro-, meso- and microscales have been defined. In this respect, however, several lines of evidence indicate that a nanoscale (nano-connectomics) should also be considered to capture direct protein-protein allosteric interactions such as those occurring, for example, in receptor-receptor interactions at the plasma membrane level. In addition, emerging evidence points to novel mechanisms likely playing a significant role in the modulation of intercellular connectivity, increasing the plasticity of the system and adding complexity to its structure. In particular, the roamer type of VT (i.e. the intercellular transfer of RNA, proteins and receptors by extracellular vesicles) will be discussed since it allowed us to introduce a new concept of 'transient changes of cell phenotype', that is the transient acquisition of new signal release capabilities and/or new recognition/decoding apparatuses.

Mesh:

Year:  2017        PMID: 28030363     DOI: 10.1515/revneuro-2016-0051

Source DB:  PubMed          Journal:  Rev Neurosci        ISSN: 0334-1763            Impact factor:   4.353


  5 in total

Review 1.  The brain as a "hyper-network": the key role of neural networks as main producers of the integrated brain actions especially via the "broadcasted" neuroconnectomics.

Authors:  Luigi F Agnati; Manuela Marcoli; Guido Maura; Amina Woods; Diego Guidolin
Journal:  J Neural Transm (Vienna)       Date:  2018-02-09       Impact factor: 3.575

2.  Machine learning based analysis of stroke lesions on mouse tissue sections.

Authors:  Gerasimos Damigos; Evangelia I Zacharaki; Nefeli Zerva; Angelos Pavlopoulos; Konstantina Chatzikyrkou; Argyro Koumenti; Konstantinos Moustakas; Constantinos Pantos; Iordanis Mourouzis; Athanasios Lourbopoulos
Journal:  J Cereb Blood Flow Metab       Date:  2022-02-25       Impact factor: 6.960

Review 3.  Intercellular Communication in the Central Nervous System as Deduced by Chemical Neuroanatomy and Quantitative Analysis of Images: Impact on Neuropharmacology.

Authors:  Diego Guidolin; Cinzia Tortorella; Manuela Marcoli; Guido Maura; Luigi F Agnati
Journal:  Int J Mol Sci       Date:  2022-05-22       Impact factor: 6.208

Review 4.  Novel Enzyme Replacement Therapies for Neuropathic Mucopolysaccharidoses.

Authors:  Yuji Sato; Torayuki Okuyama
Journal:  Int J Mol Sci       Date:  2020-01-08       Impact factor: 5.923

Review 5.  Brain Dopamine Transmission in Health and Parkinson's Disease: Modulation of Synaptic Transmission and Plasticity Through Volume Transmission and Dopamine Heteroreceptors.

Authors:  Dasiel O Borroto-Escuela; Miguel Perez De La Mora; Paul Manger; Manuel Narváez; Sarah Beggiato; Minerva Crespo-Ramírez; Gemma Navarro; Karolina Wydra; Zaida Díaz-Cabiale; Alicia Rivera; Luca Ferraro; Sergio Tanganelli; Małgorzata Filip; Rafael Franco; Kjell Fuxe
Journal:  Front Synaptic Neurosci       Date:  2018-07-10
  5 in total

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