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A complex network-based approach to detect and investigate connectome motifs in the larval Drosophila

Year: 2025
Type: article
Abstract: Analyzing the connectome of an organism allows us to understand how different areas of its brain communicate with each other and how the structure of the brain is related to its function. Thanks to new technological advances, the connectome of increasingly complex organisms has been reconstructed in recent years. Drosophila melanogaster is currently the most complex organism whose complete connectome is known, both structurally and functionally. In this paper, we aim to contribute to the study of the Drosophila structural connectome by proposing an ad hoc approach for the discovery of network motifs that may be present in it. Unlike previous approaches, which focused on parts of the connectome of complex organisms or the entire connectome of very simple organisms, our approach operates at the whole-brain scale for the most complex organism whose complete connectome is currently known. Furthermore, while previous works have focused on extending existing motif extraction approaches to the connectome case, our approach proposes a motif concept specifically designed for the connectome of an organism. This allows us to find very complex motifs while abstracting them into a few simple types that take into account the brain regions to which the neurons involved belong. • A model to represent simple motifs in the larval Drosophila connectome. • An approach to detect simple motifs in the larval Drosophila connectome. • Definition of three types of complex motifs in the larval Drosophila connectome. • An approach to derive complex motifs in the larval Drosophila connectome. • Extraction of knowledge about motifs in the larval Drosophila connectome.
DOI: 10.1016/j.compbiomed.2025.110135
Language: English
Open Access status: hybrid
Estimated APC paid: $3,080
OpenAlex ID: W4409782630
FWCI: 0.42
Cites: 48
Cited by: 1
Related to: 10