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Author: search.filters.author.Jean-Philippe Lachaux

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    Brain state-dependent recruitment of high-frequency oscillations in the human hippocampus
    (2017)
    BILLEKE BOBADILLA, PABLO ERNESTO  
    ;
    Tomas Ossandon
    ;
    Marcelo Stockle
    ;
    Marcela Perrone-Bertolotti
    ;
    Philippe Kahane
      1Scopus© Citations 21
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    Anatomical dissociation of intracerebral signals for reward and punishment prediction errors in humans
    (2021)
    Maëlle C. M. Gueguen
    ;
    Alizée Lopez-Persem
    ;
    BILLEKE BOBADILLA, PABLO ERNESTO  
    ;
    Jean-Philippe Lachaux
    ;
    Sylvain Rheims
    <jats:title>Abstract</jats:title><jats:p>Whether maximizing rewards and minimizing punishments rely on distinct brain systems remains debated, given inconsistent results coming from human neuroimaging and animal electrophysiology studies. Bridging the gap across techniques, we recorded intracerebral activity from twenty participants while they performed an instrumental learning task. We found that both reward and punishment prediction errors (PE), estimated from computational modeling of choice behavior, correlate positively with broadband gamma activity (BGA) in several brain regions. In all cases, BGA scaled positively with the outcome (reward or punishment versus nothing) and negatively with the expectation (predictability of reward or punishment). However, reward PE were better signaled in some regions (such as the ventromedial prefrontal and lateral orbitofrontal cortex), and punishment PE in other regions (such as the anterior insula and dorsolateral prefrontal cortex). These regions might therefore belong to brain systems that differentially contribute to the repetition of rewarded choices and the avoidance of punished choices.</jats:p>
    Scopus© Citations 48  1
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    Human Anterior Insula Encodes Performance Feedback and Relays Prediction Error to the Medial Prefrontal Cortex
    (2020)
    BILLEKE BOBADILLA, PABLO ERNESTO  
    ;
    Tomas Ossandon
    ;
    Marcela Perrone-Bertolotti
    ;
    Philippe Kahane
    ;
    Julien Bastin
    <jats:title>Abstract</jats:title> <jats:p>Adaptive behavior requires the comparison of outcome predictions with actual outcomes (e.g., performance feedback). This process of performance monitoring is computed by a distributed brain network comprising the medial prefrontal cortex (mPFC) and the anterior insular cortex (AIC). Despite being consistently co-activated during different tasks, the precise neuronal computations of each region and their interactions remain elusive. In order to assess the neural mechanism by which the AIC processes performance feedback, we recorded AIC electrophysiological activity in humans. We found that the AIC beta oscillations amplitude is modulated by the probability of performance feedback valence (positive or negative) given the context (task and condition difficulty). Furthermore, the valence of feedback was encoded by delta waves phase-modulating the power of beta oscillations. Finally, connectivity and causal analysis showed that beta oscillations relay feedback information signals to the mPFC. These results reveal that structured oscillatory activity in the anterior insula encodes performance feedback information, thus coordinating brain circuits related to reward-based learning.</jats:p>
      5Scopus© Citations 41