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University of Cambridge

Neuromodulation and neural circuits underlying cognitive flexibility in the rat

Abstract

dc:description.abstract

Cognitive flexibility refers to how individuals adapt their behaviour to changes in the environment. Although important for survival and wellbeing, cognitive flexibility is impaired in a wide range of neurological and neuropsychiatric disorders, including Parkinson’s Disease (PD) and Obsessive-Compulsive Disorder (OCD). Optimal flexibility is known to depend on dopamine (DA) neurotransmission in the central nervous system, but the precise mechanism and brain loci underlying the effects of DA on flexible decision-making remain unclear. In this thesis, cognitive flexibility was inferred in experimental rats by evaluating their performance on a reversal-learning task involving a simple discrimination between rewarded and non-rewarded stimuli. During reversal, subjects must adapt and respond to the formerly non-rewarded stimulus whilst ignoring the initially rewarded stimulus. Learning on this task thus requires constants shifts in behaviour in response to positive (rewarded) and negative (non-rewarded) feedback. The overarching hypothesis of my thesis is that DA modulates reversal learning performance by signaling positive and negative reward prediction errors (RPE) within the direct (rewarded) and indirect (non-rewarded) pathways, respectively. To investigate this hypothesis, I used a range of experimental approaches to interrogate the neuromodulation of the direct and indirect pathways by DA. In chapter 4, I found dissociable effects of D1 and D2 receptor antagonists during different stages of serial visual reversal learning when administered into the nucleus accumbens shell. In chapter 3, I used a recently developed valence-probe visual discrimination task to dissociate different components of reversal learning and tested the extent to which these were dependent on D2 receptors. We found that the D2 agonist quinpirole impaired reversal learning when given systemically, an effect that depended on decreased sensitivity to negative feedback, but improved performance when given directly into the nucleus accumbens. In chapter 5, the synaptic location of D2 receptors involved in the modulation of reversal learning was evaluated. Using a post-synaptic probe compound (an adenosine 2A receptor antagonist) evidence is presented for a predominately post-synaptic locus underlying the effects of D2 agents on reversal learning. Finally, in chapter 6, an in-vivo optogenetics intervention was used to simulate activity in the mesoaccumbal and nigrostriatal circuits during reversal learning. Here, activation of the mesoaccumbal, not nigrostriatal, circuit modulated reversal learning on trials when the expected reward was omitted. Taken together, these original results provide support for a dissociable role of DA receptors and striatal sub-regions in learning from positive and negative feedback in reversal learning. These findings expand our understanding of the neural circuit mechanisms underlying cognitive inflexibility and highlight potential therapeutic targets to improve flexible decision making in PD, OCD and a range of other brain disorders.

Degree

thesis:*
Name dc:type.qualificationname
Doctor of Philosophy (PhD)
Level dc:type.qualificationlevel
Doctoral
Grantor dc:publisher.institution
University of Cambridge
Year dc:date.issued
2020

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Sala Bayo, Julia
Advisors dc:contributor.advisor
  • Dalley, Jeffrey W
  • Robbins, Trevor

Subjects

dc:subject × 5

Rights

dc:rights
Language dc:language
eng

Identifiers

dc:identifier.*
Author Identifier
0000-0003-0642-5977
OAI identifier oai:identifier
oai:www.repository.cam.ac.uk:1810/316172

Chain of custody

source
Harvested from
Cambridge University
Base URL
api.repository.cam.ac.uk/server/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Sala Bayo, Julia. Neuromodulation and neural circuits underlying cognitive flexibility in the rat. Doctoral thesis, University of Cambridge, 2020. https://doi.org/10.17863/CAM.63280