Active Brain & Nervous System

Population connectomics

In plain English

AI plain-English summary

Every animal nervous system shares a common wiring blueprint, but no two individuals—not even identical twins—have exactly the same neural connections. This project will map the complete connectome (the full set of synaptic connections) of multiple individuals of the same species, using electron microscopy and machine learning, to find out which parts of the wiring diagram are universal and which vary from one animal to the next. The problem is fundamental: we know that individuals differ in behaviour, learning, and memory, but we have no idea how much of that difference stems from variations in neural wiring. Without a baseline for what is conserved versus variable, we cannot distinguish normal variation from pathological changes in brain disorders. This is curiosity-driven fundamental science. It will reveal the neural circuit basis for inter-individual differences and establish a baseline for comparing connectomes across species. In the longer term, understanding which wiring patterns are invariant could help identify where brain disorders disrupt conserved circuits, and which variable regions might underlie individual differences in cognition or behaviour—insights that could eventually inform more targeted neurological diagnostics.

View original technical description
Animals integrate multiple sensory inputs, learn and remember past events, predict future ones, and combine current and past information to choose and coordinate appropriate motor responses. Underlying these capabilities is the nervous system, whose operational patterns depend on the synaptic-level structure of its neuronal wiring diagram, the connectome. While each individual is expected to have a unique connectome, a large fraction of its neural circuit architecture is shared across individuals. What fraction of an individual's connectome is conserved across individuals is unknown, as are the ways by which each individual differs from the common subset. Here, we propose to map the complete connectome of the whole nervous system of multiple individuals of the same species using electron microscopy and machine learning techniques, and then compare them to (1) identify the consensus connectome; (2) measure natural variability both across brain hemispheres and across individuals; and (3) identify hotspots of variability. This study will reveal a neural circuit basis for inter-individual differences and establish a baseline for cross-species comparisons of connectomes

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Researchers

Albert Cardona (Principal Investigator)

Related Research

Grants with similar aims, by meaning.

The complete synaptic-level connectome of a nervous system and experimental connectomics
The synaptome architecture of the mammalian brain
Molecular organization and dynamics of synapse diversity: novel genetic, imaging and computational approaches
Functional connectomics of a simple brain centre for discrimination and memory
Anatomy-Driven Brain Connectivity Mapping

Original classification

Research and Innovation

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