A novel theory of human cortical microcircuit function: Dedicated neuronal networks for fast cellular and synaptic computation
This project aims to uncover the mechanisms behind fast input-output properties of human-specialized neuron types and their role in cognition and cognitive decline using advanced neurobiological techniques.
Projectdetails
Introduction
How human neuronal circuits are organized to produce human cognition is poorly understood. We recently showed (Nature, 2021) that human neocortex contains neuron types not found in other mammals.
Preliminary Findings
My preliminary data show that large, human-specialized transcriptomically-defined cell types (t-types) have surprisingly fast processing of synaptic input to action potential output properties. Other human t-types show much slower input-output properties more akin to average mammalian neurons.
Vulnerability in Brain Disorders
These fast human-specialized t-types are selectively vulnerable in prevalent human brain disorders with cognitive decline. Mechanisms of fast input-output processing are unknown.
Research Questions
We also do not know whether fast-processing neuron t-types form preferential synaptic networks dedicated to fast cortical processing, increasing cortical computational power to support human cognition. Here, I will test this novel concept addressing four fundamental questions:
- What mechanisms drive fast cellular input-output properties?
- What mechanisms underlie non-linear dendritic processing of synaptic input?
- How is coupling between distal dendritic synapses and soma controlled?
- Do human neuron t-types with fast input-output properties form preferential synaptic networks?
Methodology
These questions can only now be answered with our recent transcriptomic, morpho-electric Patch-seq analysis of adult human neuron t-types. Combined with dendritic and multi-patch recordings, molecular interventions, photonic approaches, and computational modeling, I will provide an unprecedented quantitative understanding of fast cellular computation mechanisms in human cortex supporting human cognition.
Conclusion
First preliminary data suggest that biophysical properties of human-specialized neuron t-types and synapses are distinct. Understanding human cortical organization of fast input-output neurons provides a novel framework to understand how selective loss of neuron t-types in human brain disorders gives rise to cognitive decline.
Financiële details & Tijdlijn
Financiële details
Subsidiebedrag | € 2.500.000 |
Totale projectbegroting | € 2.500.000 |
Tijdlijn
Startdatum | 1-9-2023 |
Einddatum | 31-8-2028 |
Subsidiejaar | 2023 |
Partners & Locaties
Projectpartners
- STICHTING VUpenvoerder
Land(en)
Vergelijkbare projecten binnen European Research Council
Project | Regeling | Bedrag | Jaar | Actie |
---|---|---|---|---|
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Deciphering the Regulatory Logic of Cortical DevelopmentEpiCortex aims to map the regulatory landscape of mouse cortical development across timepoints to understand neuronal lineage specification and improve therapeutic strategies for neuropsychiatric diseases. | ERC Consolid... | € 1.999.643 | 2023 | Details |
Mesoscale dissection of neuronal populations underlying cognitionThis project aims to map cognitive processing in the brain using a mouse model, employing a zoom-out/zoom-in approach to understand dynamic networks across various cognitive functions. | ERC Starting... | € 1.500.000 | 2022 | Details |
Revealing the wiring rules of neural circuit assembly with spatiotemporally resolved molecular connectomicsThis project aims to develop a novel method for large-scale neural circuit tracing and RNA sequencing to understand genomic influences on brain connectivity and its implications for autism. | ERC Starting... | € 1.500.000 | 2024 | Details |
Cracking the Synaptic Memory CodeThis project aims to uncover how local protein production at synapses contributes to memory encoding in the brain using advanced imaging and sequencing techniques. | ERC Starting... | € 1.500.000 | 2023 | Details |
Deep Neuron Embeddings: Data-driven multi-modal discovery of cell types in the neocortex
This project aims to link the morphology and function of excitatory cortical neurons using machine learning to create a "bar code" for neuron classification, enhancing our understanding of brain diversity.
Deciphering the Regulatory Logic of Cortical Development
EpiCortex aims to map the regulatory landscape of mouse cortical development across timepoints to understand neuronal lineage specification and improve therapeutic strategies for neuropsychiatric diseases.
Mesoscale dissection of neuronal populations underlying cognition
This project aims to map cognitive processing in the brain using a mouse model, employing a zoom-out/zoom-in approach to understand dynamic networks across various cognitive functions.
Revealing the wiring rules of neural circuit assembly with spatiotemporally resolved molecular connectomics
This project aims to develop a novel method for large-scale neural circuit tracing and RNA sequencing to understand genomic influences on brain connectivity and its implications for autism.
Cracking the Synaptic Memory Code
This project aims to uncover how local protein production at synapses contributes to memory encoding in the brain using advanced imaging and sequencing techniques.