scholarly journals Chemogenetic inhibition of corticostriatal circuits reduces cued reinstatement of methamphetamine seeking

2021 ◽  
Author(s):  
Angela M. Kearns ◽  
Benjamin M. Siemsen ◽  
Jordan L. Hopkins ◽  
Rachel A. Weber ◽  
Michael D. Scofield ◽  
...  
Keyword(s):  
Corticostriatal Circuits

scholarly journals Mice are not automatons; subjective experience in premotor circuits guides behavior

2021 ◽  
Author(s):  
Drew C. Schreiner ◽  
Christian Cazares ◽  
Rafael Renteria ◽  
Christina M Gremel
Keyword(s):  
Decision Making ◽  
Motor Cortex ◽  
Adaptive Behavior ◽  
Subjective Experience ◽  
Contextual Factors ◽  
Neural Mechanisms ◽  
Neural Representation ◽  
Recent Experience ◽  
Checking Behavior ◽  
Corticostriatal Circuits

Subjective experience is a powerful driver of decision-making and continuously accrues. However, most neurobiological studies constrain analyses to task-related variables and ignore how continuously and individually experienced internal, temporal, and contextual factors influence adaptive behavior during decision-making and the associated neural mechanisms. We show mice rely on learned information about recent and longer-term subjective experience of variables above and beyond prior actions and reward, including checking behavior and the passage of time, to guide self-initiated, self-paced, and self-generated actions. These experiential variables were represented in secondary motor cortex (M2) activity and its projections into dorsal medial striatum (DMS). M2 integrated this information to bias strategy-level decision-making, and DMS projections used specific aspects of this recent experience to plan upcoming actions. This suggests diverse aspects of experience drive decision-making and its neural representation, and shows premotor corticostriatal circuits are crucial for using selective aspects of experiential information to guide adaptive behavior.

scholarly journals Dissociable corticostriatal circuits underlie goal-directed vs. cue-elicited habitual food seeking after satiation: evidence from a multimodal MRI study

2017 ◽  
Vol 46 (2) ◽  
pp. 1815-1827 ◽  
Author(s):  
Henk van Steenbergen ◽  
Poppy Watson ◽  
Reinout W. Wiers ◽  
Bernhard Hommel ◽  
Sanne de Wit
Keyword(s):  
Corticostriatal Circuits ◽  
Multimodal Mri ◽  
Mri Study ◽  
Food Seeking

Reinforcement-Based Decision Making in Corticostriatal Circuits: Mutual Constraints by Neurocomputational and Diffusion Models

2012 ◽  
Vol 24 (5) ◽  
pp. 1186-1229 ◽  
Author(s):  
Roger Ratcliff ◽  
Michael J. Frank
Keyword(s):  
Decision Making ◽  
Diffusion Model ◽  
Response Times ◽  
Simulated Data ◽  
Diffusion Models ◽  
Choice Data ◽  
Interactive Decision Making ◽  
Corticostriatal Circuits ◽  
Nondecision Time

In this letter, we examine the computational mechanisms of reinforce-ment-based decision making. We bridge the gap across multiple levels of analysis, from neural models of corticostriatal circuits—the basal ganglia (BG) model (Frank, 2005 , 2006 ) to simpler but mathematically tractable diffusion models of two-choice decision making. Specifically, we generated simulated data from the BG model and fit the diffusion model (Ratcliff, 1978 ) to it. The standard diffusion model fits underestimated response times under conditions of high response and reinforcement conflict. Follow-up fits showed good fits to the data both by increasing nondecision time and by raising decision thresholds as a function of conflict and by allowing this threshold to collapse with time. This profile captures the role and dynamics of the subthalamic nucleus in BG circuitry, and as such, parametric modulations of projection strengths from this nucleus were associated with parametric increases in decision boundary and its modulation by conflict. We then present data from a human reinforcement learning experiment involving decisions with low- and high-reinforcement conflict. Again, the standard model failed to fit the data, but we found that two variants similar to those that fit the BG model data fit the experimental data, thereby providing a convergence of theoretical accounts of complex interactive decision-making mechanisms consistent with available data. This work also demonstrates how to make modest modifications to diffusion models to summarize core computations of the BG model. The result is a better fit and understanding of reinforcement-based choice data than that which would have occurred with either model alone.

scholarly journals Cadherin-8 expression, synaptic localization, and molecular control of neuronal form in prefrontal corticostriatal circuits

2014 ◽  
Vol 523 (1) ◽  
pp. 75-92 ◽  
Author(s):  
Lauren G. Friedman ◽  
Fréderike W. Riemslagh ◽  
Josefa M. Sullivan ◽  
Roxana Mesias ◽  
Frances M. Williams ◽  
...  
Keyword(s):  
Molecular Control ◽  
Synaptic Localization ◽  
Corticostriatal Circuits

The Neurobiology of Trichotillomania

CNS Spectrums ◽  
1998 ◽  
Vol 3 (9) ◽  
pp. 47-51 ◽  
Author(s):  
Dan J. Stein ◽  
Richard L. O'Sullivan ◽  
Barend van Heerden ◽  
Soraya Seedat ◽  
Dana Niehaus
Keyword(s):  
Hair Pulling ◽  
Corticostriatal Circuits ◽  
Opioid Systems

AbstractThe neurobiology of trichotillomania (TTM) has only recently received attention from the neuropsychiatrie community, and the number of studies in this area is limited. Nevertheless, there is tentative support for the hypothesis that serotonergic, dopaminergic, and opioid systems mediate hair-pulling symptoms, and that corticostriatal circuits also play a role. An understanding of the neurobiology of TTM may be of value not only for the treatment of this disorder, but also for other stereotypic behaviors.

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