Abstract
Instructions allow us to fulfill novel and complex tasks on the first try. This skill has been linked to preparatory brain signals that encode upcoming demands in advance, facilitating novel performance. To deepen insight into these processes, we explored whether instructions pre-activated task-relevant motoric and perceptual neural states. Critically, we addressed whether these representations anticipated activity patterns guiding overt sensorimotor processing, which could reflect that internally simulating novel tasks facilitates the preparation. To do so, we collected functional magnetic resonance imaging data while female and male participants encoded and implemented novel stimulus-response associations. Participants also completed localizer tasks designed to isolate the neural representations of the mappings-relevant motor responses, perceptual consequences, and stimulus categories. Using canonical template tracking, we identified whether and where these sensorimotor representations were pre-activated. We found that response-related templates were encoded in advance in regions linked with action control, entailing not only the instructed responses but also their somatosensory consequences. This result was particularly robust in primary motor and somatosensory cortices. While, following our predictions, we found a systematic decrease in the irrelevant stimulus templates’ representational strength compared to the relevant ones, this difference was due to below-zero estimates linked to the irrelevant category activity patterns. Overall, our findings reflect that instruction processing relies on the sensorimotor cortices to anticipate motoric and kinesthetic representations of prospective action plans, suggesting the engagement of motor imagery during novel task preparation. More generally, they stress that the somatomotor system could participate with higher-level frontoparietal regions during anticipatory task control.
Original language | English |
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Pages (from-to) | 150-169 |
Number of pages | 20 |
Journal | Cortex |
Volume | 177 |
Early online date | 28 May 2024 |
DOIs | |
Publication status | Published - Aug 2024 |
Bibliographical note
Publisher Copyright:© 2024 Elsevier Ltd
Funding
This research was supported by grant G00951N of the Flemish Government attributed to BL and JDH. AFP was supported by Grant PAIDI21_00207 of the Andalusian Autonomic Government. CG-G was supported by Grant IJC2019-040208-I and Project PID2020-116342 GA-I00 funded by MCIN/AEI/10.13039/501100011033, and Grant RYC2021-033536-I funded by MCIN/AEI/10.13039/501100011033 and by the European Union Next-Generation EU/PRTR. JDH was supported by Methusalem funding from the Special Research Fund (BOF) of Ghent University (reference number: BOF22/MET_V/002) . MB was supported by an Einstein Strategic Professorship of the Einstein Foundation Berlin (EPP-2018-483) and by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany's Excellence Strategy-EXC 2002/1 "Science of Intelligence" (project number: 390523135). BL was supported by the Utrecht University Focus Area on Human-Centered Artificial Intelligence.
Funders | Funder number |
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Flemish Government | G00951N |
Andalusian Autonomic Government | PAIDI21_00207 |
MCIN/AEI | IJC2019-040208-I, PID2020-116342 GA-I00, RYC2021-033536-I |
European Union Next-Generation EU/PRTR | |
Special Research Fund (BOF) of Ghent University | BOF22/MET_V/002 |
Einstein Strategic Professorship of the Einstein Foundation Berlin | EPP-2018-483 |
Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany's Excellence Strategy | EXC 2002/1, 390523135 |
Utrecht University Focus Area on Human-Centered Artificial Intelligence |
Keywords
- Cognitive control
- fMRI
- Multivariate analyses
- Novel instructed behavior
- Task preparation