2020
DOI: 10.1016/j.neuron.2020.09.028
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Dopamine Oppositely Modulates State Transitions in Striosome and Matrix Direct Pathway Striatal Spiny Neurons

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Cited by 34 publications
(32 citation statements)
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“…In contrast to somatic excitability, dendritic excitability was exclusively enhanced in dSPNs. As all cortical inputs to SPNs target dendrites (Gerfen and Surmeier, 2011), and dendritic excitability profoundly shapes how SPNs respond to convergent corticostriatal inputs (Plotkin et al, 2011;Prager et al, 2020), this pathway-specific augmentation of dendritic excitability could help explain how cortically-evoked synaptic activity is biased towards the direct pathway in SAPAP3 KO mice (Ade et al, 2016). Why does deletion of a synaptic gene cause cell-wide changes in excitability?…”
Section: Discussionmentioning
confidence: 99%
“…In contrast to somatic excitability, dendritic excitability was exclusively enhanced in dSPNs. As all cortical inputs to SPNs target dendrites (Gerfen and Surmeier, 2011), and dendritic excitability profoundly shapes how SPNs respond to convergent corticostriatal inputs (Plotkin et al, 2011;Prager et al, 2020), this pathway-specific augmentation of dendritic excitability could help explain how cortically-evoked synaptic activity is biased towards the direct pathway in SAPAP3 KO mice (Ade et al, 2016). Why does deletion of a synaptic gene cause cell-wide changes in excitability?…”
Section: Discussionmentioning
confidence: 99%
“…4 a,c. Therefore, it is possible that the bifurcation in ADs may stem from differential dopamine dynamics, namely, differential electrically evoked dopamine release 113 , dopamine levels 114 , dopaminergic innervation 114 and modulation of state transitions in the striatal compartments 115 , and the preferential striosomal projection to dopaminergic neurons in substantia nigra pars compacta 116 . GABAergic and glutamatergic signaling were noted to be moderately influential in AD-SMI clustering (Fig.…”
Section: Discussionmentioning
confidence: 99%
“…Our finding that plasticity at a single synapse is influenced by neighboring synaptic activity is consistent with many studies (both in vivo and in vitro) showing relationships between spatial synaptic input patterns and plasticity. For instance, in SPNs in vitro, spatially clustered synaptic inputs can produce supralinear depolarization (termed NMDA-spikes or plateau potentials) and synaptic calcium transients (Plotkin et al, 2011;Dorman et al, 2018;Prager et al, 2020;Du et al, 2017), and synaptic activation of 2-4 neighboring spines at depolarized potentials can produce nonlinear enhancement of spine calcium transients (Carter et al, 2007). Building on these findings, our work predicts that neighboring synaptic interactions can influence the direction and magnitude of corticostriatal synaptic plasticity in vivo, with high neighboring activity producing LTP and low neighbor- Observations suggest that functional synaptic clustering is a key component in plasticity and learning.…”
Section: Discussionmentioning
confidence: 99%
“…To investigate the effects of in vivo-like corticostriatal synaptic inputs on corticostriatal plasticity, we created a realistic biophysical SPN model (Prager et al, 2020) with a calcium-based plasticity rule (Jędrzejewska-Szmek et al, 2017) and simulated in vivo-like synaptic input patterns. The multicompartment, multi-ion channel model was optimized to fit electrophysiological data using an extended version of a parameter optimization algorithm we developed (Jȩ drzejewski- Dorman and Blackwell, 2021).…”
Section: Data-driven Spn Model Exhibits Calcium-based Synaptic Plasticity For In Vivo-like Inputsmentioning
confidence: 99%