Connectome analysis is the study of the brain's neurons and their connections (or synapses) to understand how brain regions communicate with each other and how the brain's structure affects its function. In recent years, researchers have reconstructed the complete connectomes of some organisms and have begun to analyze them in depth. One of the most studied connectomes is that of the nematode Caenorhabditis elegans, whose analysis has led to numerous discoveries. In this paper, we would like to make a contribution in this direction. In particular, by applying concepts and techniques of Complex Network Analysis, we want to test whether there are power neurons in this organism's connectome, i.e., neurons that are particularly important compared to the others. If so, we want to determine their characteristics and whether they form a backbone or not.
Extraction and Investigation of Power Neurons in the Caenorhabditis elegans Connectome / Buratti, C.; Marchetti, M.; Parlapiano, F.; Terracina, G.; Ursino, D.. - 4182:(2025), pp. 455-469. ( 33rd Italian Symposium on Advanced Database Systems, SEBD 2025 Ischia, It 16 - 19 June 2025).
Extraction and Investigation of Power Neurons in the Caenorhabditis elegans Connectome
C. Buratti
;M. Marchetti
;F. Parlapiano
;D. Ursino
2025-01-01
Abstract
Connectome analysis is the study of the brain's neurons and their connections (or synapses) to understand how brain regions communicate with each other and how the brain's structure affects its function. In recent years, researchers have reconstructed the complete connectomes of some organisms and have begun to analyze them in depth. One of the most studied connectomes is that of the nematode Caenorhabditis elegans, whose analysis has led to numerous discoveries. In this paper, we would like to make a contribution in this direction. In particular, by applying concepts and techniques of Complex Network Analysis, we want to test whether there are power neurons in this organism's connectome, i.e., neurons that are particularly important compared to the others. If so, we want to determine their characteristics and whether they form a backbone or not.| File | Dimensione | Formato | |
|---|---|---|---|
|
Buratti_Extraction-Investigation-Power-Neurons_2025.pdf
accesso aperto
Tipologia:
Versione editoriale (versione pubblicata con il layout dell'editore)
Licenza d'uso:
Creative commons
Dimensione
1.71 MB
Formato
Adobe PDF
|
1.71 MB | Adobe PDF | Visualizza/Apri |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.


