Motor learning selectively strengthens cortical and striatal synapses of motor engram neurons¶
The Memory Decoding Challenge: Decode a non-trivial memory from a static map of synaptic connectivity.
A journal club by Aspirational Neuroscience & the Carboncopies Foundation.
Presented by Ariel Zeleznikow-Johnston
May 6, 2025
Paper: Motor learning selectively strengthens cortical and striatal synapses of motor engram neurons
Fuu-Jiun Hwang, Richard H. Roth, Yu-Wei Wu, Yue Sun, Destany K. Kwon, Yu Liu, Jun B. Ding
Neuron 110, 2790–2801 (2022). https://doi.org/10.1016/j.neuron.2022.06.006
Abstract¶
Learning and consolidation of new motor skills require plasticity in the motor cortex and striatum, two key motor regions of the brain. However, how neurons undergo synaptic changes and become recruited during motor learning to form a memory engram remains unknown. Here, we train mice on a motor learning task and use a genetic approach to identify and manipulate behavior-relevant neurons selectively in the primary motor cortex (M1). We find that the degree of M1 engram neuron reactivation correlates with motor performance. We further demonstrate that learning-induced dendritic spine reorganization specifically occurs in these M1 engram neurons. In addition, we find that motor learning leads to an increase in the strength of M1 engram neuron outputs onto striatal spiny projection neurons (SPNs) and that these synapses form clusters along SPN dendrites. These results identify a highly specific synaptic plasticity during the formation of long-lasting motor memory traces in the corticostriatal circuit.
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