FP7Individual fellowship2012–2014

ILMA · The interplay of learning and motivational systems in addictive behaviour

FP7 — People (Marie Curie Actions)

Duration
2012-04-01 → 2014-03-31
EU contribution
€210,093
Participants
1
Scheme
MC-IIF

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Results in brief

The interplay of learning and motivational systems in addictive behaviour

The aim of the project was to understand the interplay between learning and motivational systems influencing the behavioural choices of flies and the effect of addictive drugs on these systems. To understand this interaction, we focussed on the decision process itself. Decisions take time if a decision-maker needs to integrate and compare information, or ‘evidence’, in favour of or against each alternative before committing to a choice; a process referred to as evidence accumulation. If the evidence in favour of one choice is compelling, the commitment to that choice builds quickly and decision times are short. If, on the contrary, the evidence is conflicting, the decision develops slowly and decision times are prolonged. To test whether flies accumulate evidence during perceptual decision-making, we measured reaction times for olfactory discrimination. Flies were trained against a specific concentration of an odour by pairing its presentation with electric shock. The flies were then tested for their ability to discriminate between the reinforced concentration and a different concentration of the same odour. The difficulty of the task was titrated by varying the ratio of the odour concentrations to be discriminated: when two concentrations were close, the tasks were difficult. We found that as the task difficulty rose, reaction times increased and perceptual accuracy declined, in quantitative agreement with an evidence accumulation model of decision-making (Fig 1). Our next goal was to use this assay to gain mechanistic insights into the decision process. We performed a candidate screen and isolated mutations affecting the transcription factor FoxP. Flies carrying mutations in FoxP took longer than wild-type flies to form decisions of similar or reduced accuracy, especially in difficult tasks, consistent with an abnormally low evidence accumulation rate. A FoxP promoter fragment highlighted neurons with axonal projections into the gamma lobes and the cores of the alpha and beta lobes of the mushroom bodies (Fig 2). RNAi mediated knockdown of FoxP in alpha-beta core neurons, or the expression of an inwardly-rectifying potassium conductance within them, mimicked the decision-making phenotype of FoxP mutants (Fig 3). Thus, FoxP not only identifies a key anatomical substrate for decision-making but also a potential molecular handle on the integration process. This project thus puts us in a unique position to test how genetic and pharmacological perturbations of an integrator circuit affect a cognitive process that has many parallels with human decision-making. The neurobiology of addiction is an area that could directly benefit from our research. Drugs of abuse may alter the response criteria during evidence accumulation, thereby biasing a subject towards making fast but incorrect decisions.

Data: CORDIS, © European Union

Project objective

An ability to predict the consequences of one’s actions is the hallmark of adaptive intelligence. Learning involves the updating of predictions based on past experience, a process thought to be driven by dopaminergic neurons. Dopaminergic systems can also impart motivational control over learned behaviour. Drug-induced dopamine release can subvert these adaptive systems and link desire for addictive drugs with particular behaviours, environmental cues and motivational states.A fly learning to associate an odour with impending punishment requires synaptic input from the PPL1 cluster of dopaminergic neurons to mushroom body neurons, where olfactory memories are stored. A subset of PPL1 neurons is also responsible for satiety-dependent appetitive memory retrieval. The PPL1 cluster of dopaminergic neurons therefore represents a potential site where learning and motivational circuits intersect.I will use optogenetic and genetic methods to address three specific aims directed at understanding the learning algorithm and its subversion by addictive drugs. 1) I will establish transgenic lines providing genetic access to subsets of PPL1 neurons. 2) I will use an optogenetic reporter to monitor the activity of the PPL1 neurons in vivo, in order to test the hypothesis that PPL1 neurons encode the prediction errors used to update valuations during learning. The effect of drugs of abuse on this process will be determined. 3) I will use a single-fly behavioural assay to establish which cells are necessary, and which sufficient, to drive learning and to test the effects drugs of abuse on learning. A new learning based behavioural assay of addiction will also be developed for gaining access to the motivational component of addiction in Drosophila.

Original text from CORDIS.

Participants

  • THE CHANCELLOR, MASTERS AND SCHOLARS OF THE UNIVERSITY OF OXFORD · OxfordCoordinatorUnited Kingdom

Links

Data: CORDIS, © European Union