A critical time window for dopamine actions on the structural plasticity of dendritic spines

Yagishita, Sho; Hayashi‐Takagi, Akiko; Ellis‐Davies, Graham C. R.; Urakubo, Hidetoshi; Ishii, Shin; Kasai, Hideaki

doi:10.1126/science.1255514

Cited by 529 publications

(648 citation statements)

References 38 publications

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“…36). In addition, the reported role of dopamine and serotonin in ARM (8,10,11) is consistent with the proposed structural plasticity model, as both neurotransmitters have been implicated in spine dynamics in both insects (37) and vertebrates (38,39).…”

Section: Discussionsupporting

confidence: 84%

Drk-mediated signaling to Rho kinase is required for anesthesia-resistant memory in Drosophila

Kotoula

Moressis

Semelidou

et al. 2017

Proc. Natl. Acad. Sci. U.S.A.

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Significance Anesthesia-resistant memory (ARM) has been puzzling because unlike long-term memory (LTM), it is translation independent in Drosophila . Although the two forms of consolidated memory are housed within the mushroom body neurons, they seem to employ distinct molecular pathways, with those that underlie ARM largely unknown. Elucidation of these pathways is essential to understanding ARM, how it differs from LTM, and what underlies their apparent inverse relationship. We reveal a signaling pathway that underlies ARM. Collectively, our results and already published results lead us to propose that a molecular hallmark of ARM formation is activity-dependent localized structural and functional changes in the neuronal actin cytoskeleton that alter synaptic strength or properties stable enough to last at least 24 h.

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Section: Discussionsupporting

confidence: 84%

Drk-mediated signaling to Rho kinase is required for anesthesia-resistant memory in Drosophila

Kotoula

Moressis

Semelidou

et al. 2017

Proc. Natl. Acad. Sci. U.S.A.

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“…Structural connections within brain regions concern gray and white matter and more localized projections and pathways that develop through practice and use (Dayan & Cohen, 2011;Draganski & May, 2008). Beyond the motivational potentiation of learning attempts described in earlier sections, dopamine influences synaptogenic processes that create more robust connections, including long-term potentiation at the cellular level (Ashby et al, 1999;Shohamy & Adcock, 2010;Wise, 2004) and enlargement of the spiny processes on medium spiny neurons to facilitate new neural connections (Yagishita, Hayashi-Takagi, Ellis-Davies, Urakubo, Ishii, & Kasai, 2014). Dopamine, in its motivational role, also contributes to the consolidation of motor memories when present during and after motor practice (Sugawara, Tanaka, Okazaki, Watanabe, Sadato, 2012;Wise, 2004).…”

Section: Mechanisms For Attentional Focus Effectsmentioning

confidence: 99%

Optimizing performance through intrinsic motivation and attention for learning: The OPTIMAL theory of motor learning

2016

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Effective motor performance is important for surviving and thriving, and skilled movement is critical in many activities. Much theorizing over the past few decades has focused on how certain practice conditions affect the processing of task-related information to affect learning. Yet, existing theoretical perspectives do not accommodate significant recent lines of evidence demonstrating motivational and attentional effects on performance and learning. These include research on (a) conditions that enhance expectancies for future performance, (b) variables that influence learners' autonomy, and (c) an external focus of attention on the intended movement effect. We propose the OPTIMAL (Optimizing Performance through Intrinsic Motivation and Attention for Learning) theory of motor learning. We suggest that motivational and attentional factors contribute to performance and learning by strengthening the coupling of goals to actions. We provide explanations for the performance and learning advantages of these variables on psychological and neuroscientific grounds. We describe a plausible mechanism for expectancy effects rooted in responses of dopamine to the anticipation of positive experience and temporally associated with skill practice. Learner autonomy acts perhaps largely through an enhanced expectancy pathway. Furthermore, we consider the influence of an external focus for the establishment of efficient functional connections across brain networks that subserve skilled movement. We speculate that enhanced expectancies and an external focus propel performers' cognitive and motor systems in productive "forward" directions and prevent "backsliding" into self-and non-task focused states. Expected success presumably breeds further success and helps consolidate memories. We discuss practical implications and future research directions.Keywords Motivation . Attentional focus . Self-efficacy . Positive affect . Dopamine . Motor performance Skilled movement is fundamental to surviving and thriving in the world and the basis as well for many of the highest human endeavors and cultural achievements, from sport to art to music. How people learn and relearn movement skills has been addressed from a number of disparate scientific perspectives and levels of analysis, including behavioral, social cognitive, neurophysiological, and neurocomputational. In part, differences in assumptions, scientific terminology and philosophy, as well as methodological approaches have made scholarly rapprochement challenging, but we see the end goal of optimizing motor learning as important. We suggest that it may be valuable to bring recent insights from various approaches together to identify a coherent way forward that can result in optimized learning from humans' earliest encounters with new motor skills to the lifelong development of motoric expertise.It is typically considered time to look afresh at dominant theories in a field when the accumulating evidence suggests that old frameworks cannot account for substantial new insights an...

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“…In spike-time-dependent plasticity (STDP) protocols, LTP occurs differentially when presynaptic stimulation precedes postsynaptic stimulation by a few tens of milliseconds, whereas LTD occurs with reverse sequence (48). Slice STDP protocols induce anatomical enlargement of striatal dendritic spines by burst-stimulating dopamine axons 0.3-2.0 s after depolarization of medium spiny striatal neurons, involving dopamine D1, but not D2, receptors and striatal NMDA receptors (642). The specific sequence of striatal excitation followed, but not preceded, by dopamine stimulation corresponds well to the temporal requirements for behavioral conditioning (423,589).…”

Section: Postsynaptic Influencesmentioning

confidence: 99%

“…The released dopamine influences the plasticity between conjointly active presynaptic and postsynaptic neurons in a three factor Hebbian learning scheme (FIG-URE 17, B AND C) involving striatum, frontal cortex, and other structures in which appropriate dopamine dependent plasticity is found (82,194,265,294,400,401,424,461,495,540,583,642,648). In this way, the dopamine signal could affect synaptic transmission onto striatal and cortical neurons coding object value and action value.…”

Section: Updating Economic Decision Variablesmentioning

confidence: 99%

Neuronal Reward and Decision Signals: From Theories to Data

Schultz

2015

Physiological Reviews

899

765

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LSchultz W. Neuronal Reward and Decision Signals: From Theories to Data. Physiol Rev 95: 853-951, 2015. Published June 24, 2015 doi:10.1152/physrev.00023.2014.-Rewards are crucial objects that induce learning, approach behavior, choices, and emotions. Whereas emotions are difficult to investigate in animals, the learning function is mediated by neuronal reward prediction error signals which implement basic constructs of reinforcement learning theory. These signals are found in dopamine neurons, which emit a global reward signal to striatum and frontal cortex, and in specific neurons in striatum, amygdala, and frontal cortex projecting to select neuronal populations. The approach and choice functions involve subjective value, which is objectively assessed by behavioral choices eliciting internal, subjective reward preferences. Utility is the formal mathematical characterization of subjective value and a prime decision variable in economic choice theory. It is coded as utility prediction error by phasic dopamine responses. Utility can incorporate various influences, including risk, delay, effort, and social interaction. Appropriate for formal decision mechanisms, rewards are coded as object value, action value, difference value, and chosen value by specific neurons. Although all reward, reinforcement, and decision variables are theoretical constructs, their neuronal signals constitute measurable physical implementations and as such confirm the validity of these concepts. The neuronal reward signals provide guidance for behavior while constraining the free will to act.

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A critical time window for dopamine actions on the structural plasticity of dendritic spines

Cited by 529 publications

References 38 publications

Drk-mediated signaling to Rho kinase is required for anesthesia-resistant memory in Drosophila

Drk-mediated signaling to Rho kinase is required for anesthesia-resistant memory in Drosophila

Optimizing performance through intrinsic motivation and attention for learning: The OPTIMAL theory of motor learning

Neuronal Reward and Decision Signals: From Theories to Data

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