ArticleScientific reports2020
Comparing basal dendrite branches in human and mouse hippocampal CA1 pyramidal neurons with Bayesian networks.
Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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11 citing papers in PubMed, 18 citations in OpenAlex.
- Low-Intensity Focused Ultrasound Neuromodulation in Psychiatric Disorders: Mechanisms, Models, and Missing Links.Biological psychiatry · 2026Review
- Deriving connectivity from spiking activity in detailed models of large-scale cortical microcircuits.iScience · 2026Article
- Early Postnatally Induced Conditional Reelin Deficiency Causes Malformations of Hippocampal Neurons.Biomolecules · 2025Article
- Auditory sensory processing induces cortical and thalamic event-related desynchronization in the mouse.PloS one · 2025Article
- A concise mathematical description of signal transformations across the hippocampal apical CA3 to CA1 dendritic response.Frontiers in neural circuits · 2025Article
- A biologically inspired repair mechanism for neuronal reconstructions with a focus on human dendrites.PLoS computational biology · 2024Article
- Morphology and Fractal-Based Classifications of Neurons and Microglia in Two and Three Dimensions.Advances in neurobiology · 2024Review
- Article
- Acute gut inflammation reduces neural activity and spine maturity in hippocampus but not basolateral amygdala.Scientific reports · 2022Article
- Identifying risk factors of developing type 2 diabetes from an adult population with initial prediabetes using a Bayesian network.Frontiers in public health · 2022Article
- Comparing the Electrophysiology and Morphology of Human and Mouse Layer 2/3 Pyramidal Neurons With Bayesian Networks.Frontiers in neuroinformatics · 2021Article
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
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Abstract
Pyramidal neurons are the most common cell type in the cerebral cortex. Understanding how they differ between species is a key challenge in neuroscience. A recent study provided a unique set of human and mouse pyramidal neurons of the CA1 region of the hippocampus, and used it to compare the morphology of apical and basal dendritic branches of the two species. The study found inter-species differences in the magnitude of the morphometrics and similarities regarding their variation with respect to morphological determinants such as branch type and branch order. We use the same data set to perform additional comparisons of basal dendrites. In order to isolate the heterogeneity due to intrinsic differences between species from the heterogeneity due to differences in morphological determinants, we fit multivariate models over the morphometrics and the determinants. In particular, we use conditional linear Gaussian Bayesian networks, which provide a concise graphical representation of the independencies and correlations among the variables. We also extend the previous study by considering additional morphometrics and by formally testing whether a morphometric increases or decreases with the distance from the soma. This study introduces a multivariate methodology for inter-species comparison of morphology.
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