Significance of Input Correlations in Striatal Function

The striatum is the main input station of the basal ganglia and is strongly associated with motor and cognitive functions. Anatomical evidence suggests that individual striatal neurons are unlikely to share their inputs from the cortex. Using a biologically realistic large-scale network model of striatum and cortico-striatal projections, we provide a functional interpretation of the special anatomical structure of these projections. Specifically, we show that weak pairwise correlation within the pool of inputs to individual striatal neurons enhances the saliency of signal representation in the striatum. By contrast, correlations among the input pools of different striatal neurons render the signal representation less distinct from background activity. We suggest that for the network architecture of the striatum, there is a preferred cortico-striatal input configuration for optimal signal representation. It is further enhanced by the low-rate asynchronous background activity in striatum, supported by the balance between feedforward and feedback inhibitions in the striatal network. Thus, an appropriate combination of rates and correlations in the striatal input sets the stage for action selection presumably implemented in the basal ganglia

A Kinetic Model of Dopamine- and Calcium-Dependent Striatal Synaptic Plasticity

Corticostriatal synapse plasticity of medium spiny neurons is regulated by glutamate input from the cortex and dopamine input from the substantia nigra. While cortical stimulation alone results in long-term depression (LTD), the combination with dopamine switches LTD to long-term potentiation (LTP), which is known as dopamine-dependent plasticity. LTP is also induced by cortical stimulation in magnesium-free solution, which leads to massive calcium influx through NMDA-type receptors and is regarded as calcium-dependent plasticity. Signaling cascades in the corticostriatal spines are currently under investigation. However, because of the existence of multiple excitatory and inhibitory pathways with loops, the mechanisms regulating the two types of plasticity remain poorly understood. A signaling pathway model of spines that express D1-type dopamine receptors was constructed to analyze the dynamic mechanisms of dopamine- and calcium-dependent plasticity. The model incorporated all major signaling molecules, including dopamine- and cyclic AMP-regulated phosphoprotein with a molecular weight of 32 kDa (DARPP32), as well as AMPA receptor trafficking in the post-synaptic membrane. Simulations with dopamine and calcium inputs reproduced dopamine- and calcium-dependent plasticity. Further in silico experiments revealed that the positive feedback loop consisted of protein kinase A (PKA), protein phosphatase 2A (PP2A), and the phosphorylation site at threonine 75 of DARPP-32 (Thr75) served as the major switch for inducing LTD and LTP. Calcium input modulated this loop through the PP2B (phosphatase 2B)-CK1 (casein kinase 1)-Cdk5 (cyclin-dependent kinase 5)-Thr75 pathway and PP2A, whereas calcium and dopamine input activated the loop via PKA activation by cyclic AMP (cAMP). The positive feedback loop displayed robust bi-stable responses following changes in the reaction parameters. Increased basal dopamine levels disrupted this dopamine-dependent plasticity. The present model elucidated the mechanisms involved in bidirectional regulation of corticostriatal synapses and will allow for further exploration into causes and therapies for dysfunctions such as drug addiction

A silent eligibility trace enables dopamine‐dependent synaptic plasticity for reinforcement learning in the mouse striatum

Dopamine-dependent synaptic plasticity is a candidate mechanism for reinforcement learning. A silent eligibility trace - initiated by synaptic activity and transformed into synaptic strengthening by later action of dopamine - has been hypothesized to explain the retroactive effect of dopamine in reinforcing past behaviour. We tested this hypothesis by measuring time-dependent modulation of synaptic plasticity by dopamine in adult mouse striatum, using whole-cell recordings. Presynaptic activity followed by postsynaptic action potentials (pre-post) caused spike-timing-dependent long-term depression in D1-expressing neurons, but not in D2 neurons, and not if postsynaptic activity followed presynaptic activity. Subsequent experiments focused on D1 neurons. Applying a dopamine D1 receptor agonist during induction of pre-post plasticity caused long-term potentiation. This long-term potentiation was hidden by long-term depression occurring concurrently and was unmasked when long-term depression blocked an L-type calcium channel antagonist. Long-term potentiation was blocked by a Ca(2+) -permeable AMPA receptor antagonist but not by an NMDA antagonist or an L-type calcium channel antagonist. Pre-post stimulation caused transient elevation of rectification - a marker for expression of Ca(2+) -permeable AMPA receptors - for 2-4-s after stimulation. To test for an eligibility trace, dopamine was uncaged at specific time points before and after pre- and postsynaptic conjunction of activity. Dopamine caused potentiation selectively at synapses that were active 2-s before dopamine release, but not at earlier or later times. Our results provide direct evidence for a silent eligibility trace in the synapses of striatal neurons. This dopamine-timing-dependent plasticity may play a central role in reinforcement learning