Javier DeFelipe

This paper establishes a workflow for applying volume electron microscopy to human cortical organoids, enabling micro-connectomic reconstruction at nanometer resolution.

The paper investigates how human neuronal morphology influences synaptic connectivity complexity and shows that human neuron shapes lead to more complex connectomes compared to rodents.

This study builds a detailed computational model of the human neocortex and compares it to a rat model, revealing differences in cell density, branching complexity, and synaptic connectivity.

This study uses volume electron microscopy to analyze synaptic structures in the human entorhinal cortex, revealing distinct synaptic features across layers.

The paper uses volume electron microscopy to analyze synaptic organization in human cerebral cortex regions, finding region-specific and common synaptic characteristics.

The paper introduces a tracing method to quantify brain connectivity by skeletonizing nerve fibers and analyzing synaptic contacts across different brain regions.

This study quantifies morphological differences in human pyramidal neurons across cortical areas and species, revealing distinct structural features compared to mouse neurons and hippocampal neurons.

This paper introduces a morphological repair algorithm inspired by dendritic regeneration to reconstruct incomplete human and non-human neuronal dendrites, restoring both morphology and electrophysiological function.

The paper compares dendritic architecture in human and mice neuronal networks, finding that human pyramidal cells have greater dendritic complexity, contributing to increased network complexity despite lower neuron density.

The paper uses FIB/SEM to analyze 3D synaptic organization in specific human cortical regions, revealing regional differences in synaptic density and size but homogeneity in synaptic type proportions and shapes.

The paper compares human and mouse Purkinje cells, finding human cells have greater dendritic complexity and computational capacity.

The paper quantifies synaptic characteristics in the Etruscan shrew's cortex, finding high synaptic density and similar organization to humans despite significant differences in brain size and synapse number.

The paper quantifies neuromodulatory fiber length and varicosity density in rat somatosensory cortex and predicts their effects on network activity.

The paper quantifies PSD95 protein lifetime in mouse synapses across lifespan and brain regions, revealing distinct patterns linked to development, behavior, and aging.

The paper proposes a calcium-based plasticity model that predicts LTP and LTD dynamics across multiple pyramidal connections in the neocortex.

The paper analyzes 3D spine morphology in human and mouse neurons to show a morphological continuum, species differences, and age-related changes in spine size.

This study uses graph-theory approaches to show that tau pathology in Alzheimer's disease causes clustered dendritic spine loss, not random loss, linking tau to memory deficits through altered spine organization.

The paper examines synaptic organization changes in the entorhinal cortex of Alzheimer's disease patients using 3D ultrastructural analysis and stereological methods, finding altered synaptic density and complexity.

The paper analyzes synaptic organization in human temporal neocortex layer III using FIB/SEM, finding differences in synaptic density between autopsy and biopsy samples but similar asymmetric:symmetric ratios.

This study uses multiplatform metabolomics to identify metabolic changes in brain slices over time, revealing 300 compound modifications related to lipid classes, GABAergic pathway, and TCA cycle.

The paper compares basal dendrite morphology between human and mouse hippocampal CA1 pyramidal neurons using Bayesian networks to analyze inter-species differences and morphological determinants.

This study quantifies 3D synaptic organization in rat CA1 stratum radiatum under normal and cocaine self-administration conditions, finding increased synaptic size and complexity without changes in density.

The paper performs a 3D ultrastructural analysis of synapses in the human entorhinal cortex, characterizing their morphology, density, and postsynaptic targets using FIB/SEM.

The paper estimates synapse numbers in the hippocampus and brain-wide using electron microscopy and genetic labeling, finding high densities in isocortex and olfactory areas, and low densities in pallidum and cerebellum.

This study uses 3D reconstruction of human hippocampal CA1 synapses to show most are excitatory, targeting dendritic spines, with layer-specific differences.

The paper reveals structural differences in thalamocortical synapses between motor and somatosensory cortices, suggesting subcellular complexity in neural circuits.

The paper identifies regional differences in the postsynaptic proteome across mouse brain regions using proteomic mass spectrometry, revealing unique compositional signatures correlated with anatomy and embryology.

The paper presents detailed biophysical models of human cortical pyramidal neurons, revealing enhanced computational capabilities through large synaptic conductances and multi-site nonlinear signaling.