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Specific and Plastic: Chandelier Cell-to-Axon Initial Segment Connections in Shaping Functional Cortical Network
Yanqing Qi1, Rui Zhao1, Jifeng Tian1
1Institutes of Brain Science, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Department of Neurobiology, Zhongshan Hospital, Fudan University, Shanghai, 200032, China.
Chandelier cells (ChCs) regulate neuronal excitability by synapsing onto the axon initial segment (AIS) of projection neurons (PNs). Their plasticity is key to adapting cortical circuits in health and disease.
Area of Science:
- Neuroscience
- Cellular Biology
- Computational Neuroscience
Background:
- The axon initial segment (AIS) is a critical neuronal domain for action potential initiation.
- Cortical projection neurons (PNs) receive GABAergic inputs from chandelier cells (ChCs) at the AIS.
- ChCs are thought to regulate neuronal excitability and network activity due to their extensive innervation patterns.
Purpose of the Study:
- To review the history and recent advances in understanding chandelier cells (ChCs) and their role in cortical circuits.
- To highlight the plasticity of the axon initial segment (AIS) and ChC-PN connections.
- To discuss the significance of AIS and ChC-PN plasticity in physiological and pathological conditions.
Main Methods:
- Review of existing literature and research findings.
- Utilizing modern genetic and molecular tools for investigation.
- Focus on structural and functional analyses of AIS and axo-axonic synapses.
Main Results:
- Chandelier cells (ChCs) form axo-axonic synapses with hundreds of projection neurons (PNs).
- Dynamic structural and functional changes occur at the AIS and ChC-PN synapses during development and network activity shifts.
- These plastic changes are crucial for cortical microcircuit wiring, refinement, and adaptation.
Conclusions:
- The plasticity of the axon initial segment (AIS) and chandelier cell (ChC)-projection neuron (PN) connections is pivotal.
- These plastic changes play a key role in shaping dynamic neural networks.
- Understanding this plasticity is essential for comprehending both normal brain function and disease states.
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