STRIAVISE · How the striatum contributes to visual-selection
Horizon 2020 — Marie Skłodowska-Curie Actions
- Duration
- 2018-10-01 → 2022-05-15
- EU contribution
- €276,107
- Participants
- 2
- Scheme
- MSCA-IF
Lines connect the coordinator with its partners.
Results in brief
How the striatum contributes to visual-selection
Humans are very good at learning predictive relationships between sensory signals and their outcomes, such as how a siren predicts from where a fast emergency vehicle will appear, or how a sweet wrapper predicts the location of a possible tasty treat. Knowledge of these relationships is useful if they can be exploited to control the neural processes that drive cognition and behaviour; for example choosing where to allocate attention in a busy sensory world to influence subsequent decision-making. Elucidating how the brain uses predictive information to shape attention and perception will offer insights into how individual learning shapes sensory experience, and may pave the way for interventions for individuals who suffer from atypical function of the brain’s prediction and attention networks. The results from the action show that modulations to striatal-cortical connections underpin the influence of learning on attention allocation, that individuals differ in how they leverage predictive information to guide their attention, and that multiple computations underpin the influence of expectations on attention, spatial expectations induce anticipatory attention shifts, whereas reward affects attention counterfactually; i.e. visual processing models missed as well as attained rewards.
Data: CORDIS, © European Union
Project objective
The brain is limited in information-processing capacity, and must selectively prioritise neural representations of the external stimuli that are most relevant for one’s current goals, i.e. apply attention to the stimulus (visual-selection). Predictions about likely future sensory inputs help determine which stimuli are prioritised. Although we know that frontal and sensory cortices comprise key parts of a system that represents prioritised visual information, we are only just beginning to understand how predictions influence the activity of this system, or which neural substrates encode such predictions. The striatum is an excellent candidate neural substrate to underpin the influence of predictions on visual representations, even though its role in visual-selection has barely been considered. The core aim of this proposal is to investigate the scope of striatal contributions to the function and dynamics of the brain networks that underpin visual-selection. Neuroimaging (MRI, DTI), neuromagnetic (MEG), and deep-brain-stimulation (DBS) approaches will be convergently applied to i) provide a high-resolution functional map of the striatum when predictive contexts are available to guide visual-selection performance, ii) provide a rich spatial and temporal characterisation of striatal influence on the brain networks underpinning visual-selection, and iii) go beyond the limitations of correlative measures by identifying the causal influence of the striatum when predictions influence visual-selection. The gained precise understanding of how the brain instantiates this influence will not only advance our theoretical understanding of the nature of sensory experience, but also carries the potential to shed insights into the cognitive difficulties faced by patients with striatal dysfunction such as in Parkinson’s disease, ADHD, and schizophrenia, thereby paving foundations for new interventions.
Original text from CORDIS.
Participants
- THE UNIVERSITY OF BIRMINGHAM · BirminghamCoordinatorUnited Kingdom
- THE UNIVERSITY OF QUEENSLAND · BrisbaneAustralia
Links
Data: CORDIS, © European Union