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Neuronal cell types are essential to the comprehensive understanding of the neuronal function and neuron can be categorized by their anatomical property. However, complete morphology data for neurons with a whole brain projection, for example the pyramidal neurons in the cortex, are sparse because it is difficult to trace the neuronal fibers across the whole brain and acquire the neuron morphology at the single axon resolution. Thus the cell types of pyramidal neurons have yet to be studied at the single axon resolution thoroughly. In this work, we acquire images for a Thy1 H-line mouse brain using a fluorescence micro-optical sectioning tomography system. Then we sample 42 pyramidal neurons whose somata are in the layer 5 of the motor cortex and reconstruct their morphology across the whole brain. Based on the reconstructed neuronal anatomy, we analyze the axonal and dendritic fibers of the neurons in addition to the soma spatial distributions, and identify two axonal projection pattern of pyramidal tract neurons and two dendritic spreading patterns of intratelencephalic neurons. The raw image data are available upon request as an additional asset to the community. The morphological patterns identified in this work can be a typical representation of neuron subtypes and reveal the possible input-output function of a single pyramidal neuron.
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http://dx.doi.org/10.1038/s41598-020-64665-2 | DOI Listing |
Neurobiol Aging
September 2025
Departamento de Farmacobiología. Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional, Ciudad de México 14330, Mexico. Electronic address:
The physiological decline associated with aging is often accompanied by a progressive deterioration in cognitive processing abilities driven by a series of cellular dysfunctions that remain poorly understood. In the hippocampus, a critical area for learning and memory, aging affects the functional expression of ionotropic and metabotropic receptors, including the metabotropic glutamate receptors (mGluRs). mGluRs play a critical role in multiple cellular functions, including modulation of ion channels and intrinsic excitability, synaptic transmission, and induction of synaptic plasticity, processes considered part of the cellular substrates for learning and memory.
View Article and Find Full Text PDFThe ability to detect and transmit novel events is essential for adaptive behavior in uncertain environments. Here, we investigate how holographically triggered, unanticipated action potentials propagate through the primary visual cortex of resting mice, focusing on pyramidal neuron communication. We find that these novel spikes - uncorrelated with ongoing activity - exert a disproportionately large influence on neighboring neurons, whose response scales as a power law (exponent ∼0.
View Article and Find Full Text PDFWhole-brain models are valuable tools for understanding brain dynamics in health and disease by enabling the testing of causal mechanisms and identification of therapeutic targets through dynamic simulations. Among these models, biophysically inspired neural mass models have been widely used to simulate electrophysiological recordings, such as MEG and EEG. However, traditional models face limitations, including susceptibility to hyperexcitation, which constrains their ability to capture the full richness of neural dynamics.
View Article and Find Full Text PDFUnlabelled: Repeated exposure to stress disrupts cognitive processes, including attention and working memory. A key mechanism supporting these functions is the ability of neurons to sustain action potential firing, even after a stimulus is no longer present. How stress impacts this persistent neuronal activity is currently unknown.
View Article and Find Full Text PDFScience
September 2025
Neuroscience Institute, New York University Grossman School of Medicine, New York, NY, USA.
Identifying the computational roles of different neuron families is crucial for understanding neural networks. Most neural diversity is embodied in various types of γ-aminobutyric acid-mediated (GABAergic) interneurons, grouped into four major families. We collected datasets of opto-tagged neurons from all four families, along with excitatory neurons, from both the neocortex and hippocampus.
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