Explore the words cloud of the PreMotive project. It provides you a very rough idea of what is the project "PreMotive" about.
The following table provides information about the project.
Coordinator |
STICHTING KATHOLIEKE UNIVERSITEIT
Organization address contact info |
Coordinator Country | Netherlands [NL] |
Project website | https://elianavassena.wixsite.com/computationalpsy |
Total cost | 165˙598 € |
EC max contribution | 165˙598 € (100%) |
Programme |
1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility) |
Code Call | H2020-MSCA-IF-2015 |
Funding Scheme | MSCA-IF-EF-ST |
Starting year | 2016 |
Duration (year-month-day) | from 2016-08-01 to 2019-02-21 |
Take a look of project's partnership.
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1 | STICHTING KATHOLIEKE UNIVERSITEIT | NL (NIJMEGEN) | coordinator | 165˙598.00 |
Neural correlates of goal-directed behavior have been extensively studied with functional Magnetic Resonance Imaging (fMRI). This has allowed identifying the functional specialization of subregions in prefrontal cortex (PFC). In particular, medial PFC (MPFC) is involved in error monitoring, cognitive control, reward prediction and motivation, while dorsolateral PFC (DLPFC) supports working memory and goal-maintenance. Though useful, such characterization has neglected one fundamental aspect: network interactions. A mechanistic understanding of how MPFC and DLPFC interact in orchestrating goal-directed behavior is still lacking. Both regions seem to be involved in both prediction and error signalling mechanism, and in motivation-driven task-preparation. To date, no theoretical account has reconciled these findings, nor explained how MPFC and DLPFC interact in producing such effects. Here we propose a novel framework, where error signals generated by MPFC train error representations in DLPFC. These representations are reactivated when the same circumstance recurs and drive proportional MPFC involvement to prevent the error from happening again (by deploying adequate neural resources). The goal of the project is to test this theory by combining the excellent spatial resolution of fMRI with the excellent temporal precision of EEG in conjunction with precise quantitative predictions based on computational models of PFC. Simultaneous EEG-fMRI recordings will allow testing PFC network dynamics, both in a simple sensory prediction paradigm, and in a paradigm modulating motivation, aiming at demonstrating a shared underlying principle. This research programme will provide a neurofunctional characterization of how PFC network interactions drive goal-directed behaviour in both prediction and motivated task engagement. This work has important implications for future studies on PFC both in healthy subjects and in patients with motivation disorders.
year | authors and title | journal | last update |
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2017 |
William H. Alexander, Joshua W. Brown, Anne G. E. Collins, Benjamin Y. Hayden, Eliana Vassena Prefrontal Cortex in Control: Broadening the Scope to Identify Mechanisms published pages: 1-5, ISSN: 0898-929X, DOI: 10.1162/jocn_a_01154 |
Journal of Cognitive Neuroscience | 2019-10-15 |
2017 |
Eliana Vassena, James Deraeve, William H. Alexander Predicting Motivation: Computational Models of PFC Can Explain Neural Coding of Motivation and Effort-based Decision-making in Health and Disease published pages: 1633-1645, ISSN: 0898-929X, DOI: 10.1162/jocn_a_01160 |
Journal of Cognitive Neuroscience 29/10 | 2019-10-15 |
2017 |
William H. Alexander, Eliana Vassena, James Deraeve, Zachary D. Langford Integrative Modeling of Prefrontal Cortex published pages: 1674-1683, ISSN: 0898-929X, DOI: 10.1162/jocn_a_01138 |
Journal of Cognitive Neuroscience 29/10 | 2019-10-15 |
2017 |
Eliana Vassena, Clay B. Holroyd, William H. Alexander Computational Models of Anterior Cingulate Cortex: At the Crossroads between Prediction and Effort published pages: , ISSN: 1662-453X, DOI: 10.3389/fnins.2017.00316 |
Frontiers in Neuroscience 11 | 2019-10-15 |
2019 |
Jessica Schrouff, Doris Pischedda, Sarah Genon, Gregory Fryns, Ana LuÃsa Pinho, Eliana Vassena, Antonietta G. Liuzzi, Fabio S. Ferreira Gender bias in (neuro)science: Facts, consequences, and solutions published pages: , ISSN: 0953-816X, DOI: 10.1111/ejn.14397 |
European Journal of Neuroscience | 2019-10-15 |
2018 |
Massimo Silvetti, Eliana Vassena, Elger Abrahamse, Tom Verguts Dorsal anterior cingulate-brainstem ensemble as a reinforcement meta-learner published pages: e1006370, ISSN: 1553-7358, DOI: 10.1371/journal.pcbi.1006370 |
PLOS Computational Biology 14/8 | 2019-10-15 |
2019 |
Eliana Vassena, Robin Gerrits, Jelle Demanet, Tom Verguts, Roma Siugzdaite Anticipation of a mentally effortful task recruits Dorsolateral Prefrontal Cortex: An fNIRS validation study published pages: 106-115, ISSN: 0028-3932, DOI: 10.1016/j.neuropsychologia.2018.04.033 |
Neuropsychologia 123 | 2019-10-15 |
2019 |
Eliana Vassena, James Deraeve, William H. Alexander Task-specific prioritization of reward and effort information: Novel insights from behavior and computational modeling published pages: , ISSN: 1530-7026, DOI: 10.3758/s13415-018-00685-w |
Cognitive, Affective, & Behavioral Neuroscience | 2019-10-15 |
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