{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["22(12)"],"submitter":["Xiong F"],"pubmed_abstract":["Brain networks, or connectomes, have inspired research at macro-, meso- and micro-scales. However, the rise of single-cell technologies necessitates inferring connectomes consisting of individual neurons projecting throughout the brain. Her, we present a scalable approach to map single-neuron connectivity at the whole-brain scale using two complementary methods. We first generated an arbor-net by probabilistically pairing dendritic and axonal arbors of 20,247 neurons registered to the Allen Brain Atlas. We also produced a bouton-net based on 2.57 million putative axonal boutons from 1,877 fully reconstructed neurons and probabilistic pairing of these full-morphology datasets. Cross-validation of both networks showed statistical consistency in spatially and anatomically modular distribution"],"journal":["Nature methods"],"pagination":["2670-2683"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC12695645"],"repository":["biostudies-literature"],"pubmed_title":["Reconstruction of a connectome of single neurons in mouse brains by cross-validating multi-scale multi-modality data."],"pmcid":["PMC12695645"],"pubmed_authors":["Peng H","Liu L","Xiong F"],"additional_accession":[]},"is_claimable":false,"name":"Reconstruction of a connectome of single neurons in mouse brains by cross-validating multi-scale multi-modality data.","description":"Brain networks, or connectomes, have inspired research at macro-, meso- and micro-scales. However, the rise of single-cell technologies necessitates inferring connectomes consisting of individual neurons projecting throughout the brain. Her, we present a scalable approach to map single-neuron connectivity at the whole-brain scale using two complementary methods. We first generated an arbor-net by probabilistically pairing dendritic and axonal arbors of 20,247 neurons registered to the Allen Brain Atlas. We also produced a bouton-net based on 2.57 million putative axonal boutons from 1,877 fully reconstructed neurons and probabilistic pairing of these full-morphology datasets. Cross-validation of both networks showed statistical consistency in spatially and anatomically modular distribution","dates":{"release":"2025-01-01T00:00:00Z","publication":"2025 Dec","modification":"2026-06-06T00:27:54.204Z","creation":"2026-05-24T03:11:19.222Z"},"accession":"S-EPMC12695645","cross_references":{"pubmed":["40859021"],"doi":["10.1038/s41592-025-02784-2"]}}