Temporal correlations among functionally specialized striatal neural ensembles in reward-conditioned mice

Area of Science:

• Neuroscience
• Computational Neuroscience
• Systems Neuroscience

Background:

• The striatum, a key basal ganglia input structure, receives extensive innervation, potentially influencing neural ensemble temporal correlations.
• Network dynamics of behaviorally relevant striatal neural populations remain understudied.

Purpose of the Study:

• To investigate network dynamics within striatal ensembles during associative reward learning.
• To identify functionally specialized neuronal populations and their network properties.

Main Methods:

• Employed large-scale neural recordings in mice during Pavlovian reward conditioning.
• Analyzed activity of medium spiny projection neurons (MSNs) and fast spiking interneurons (FSIs).
• Utilized spike time cross-correlation analysis to assess neural synchrony and modulation.

Main Results:

• A subpopulation of MSNs in lateral striatum discriminated between reward-predicting and neutral cues.
• These discriminating MSNs exhibited higher spontaneous activity and correlations compared to non-discriminating cells.
• Discriminating FSIs formed a highly correlated network with discriminating MSNs, showing synchronized activity and feedforward inhibition of MSNs.

Conclusions:

• Functionally specialized, cue-discriminating striatal neurons possess distinct network dynamics.
• These specialized network properties may facilitate accurate behavioral responses during associative learning.
• The interplay between discriminating FSIs and MSNs is crucial for processing reward-predicting cues.