ArticleFrontiers in neural circuits2012
The intrinsic connectome of the rat amygdala.
Article in Frontiers in neural circuits, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed.
- The Cerebellar Connectome.Cerebellum (London, England) · 2026Article
- Proteomic Characterization of Spinal Cord Myelin in the Mouse.ASN neuro · 2026Article
- Ellagic acid improves the symptoms of early-onset Alzheimer's disease: Behavioral and physiological correlates.Heliyon · 2024Article
- Article
- Connectomes: from a sparsity of networks to large-scale databases.Frontiers in neuroinformatics · 2023Review
- The brainstem connectome database.Scientific data · 2022Article
- Identifying brain regions supporting amygdalar functionality: Application of a novel graph theory technique.NeuroImage · 2021Article
- Corticosterone in the ventral hippocampus differentially alters accumbal dopamine output in drug-naïve and amphetamine-withdrawn rats.Neuropharmacology · 2020Article
- Towards Differential Connectomics with NeuroVIISAS.Neuroinformatics · 2019Article
- A multiscale cerebral neurochemical connectome of the rat brain.PLoS biology · 2017Article
- Prediction of regional functional impairment following experimental stroke via connectome analysis.Scientific reports · 2017Article
- Topological organization of connectivity strength in the rat connectome.Brain structure & function · 2016Article
- Graph analysis of the anatomical network organization of the hippocampal formation and parahippocampal region in the rat.Brain structure & function · 2016Article
- Comparative Distribution of Relaxin-3 Inputs and Calcium-Binding Protein-Positive Neurons in Rat Amygdala.Frontiers in neuroanatomy · 2016Article
- A mesoscale connectome of the mouse brain.Nature · 2014Article
- Functional connectivity-based parcellation and connectome of cortical midline structures in the mouse: a perfusion autoradiography study.Frontiers in neuroinformatics · 2014Article
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6 authors.
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Abstract
The connectomes of nervous systems or parts there of are becoming important subjects of study as the amount of connectivity data increases. Because most tract-tracing studies are performed on the rat, we conducted a comprehensive analysis of the amygdala connectome of this species resulting in a meta-study. The data were imported into the neuroVIISAS system, where regions of the connectome are organized in a controlled ontology and network analysis can be performed. A weighted digraph represents the bilateral intrinsic (connections of regions of the amygdala) and extrinsic (connections of regions of the amygdala to non-amygdaloid regions) connectome of the amygdala. Its structure as well as its local and global network parameters depend on the arrangement of neuronal entities in the ontology. The intrinsic amygdala connectome is a small-world and scale-free network. The anterior cortical nucleus (72 in- and out-going edges), the posterior nucleus (45), and the anterior basomedial nucleus (44) are the nuclear regions that posses most in- and outdegrees. The posterior nucleus turns out to be the most important nucleus of the intrinsic amygdala network since its Shapley rate is minimal. Within the intrinsic amygdala, regions were determined that are essential for network integrity. These regions are important for behavioral (processing of emotions and motivation) and functional (memory) performances of the amygdala as reported in other studies.
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