Les Troubles Obsessionnels et Compulsifs (TOC) sont un trouble mental sévère et fréquemment résistant. La physiopathologie du trouble se caractérise par des anomalies au sein des boucle cortico-striato-thalamo-cortical entrainant une hyper-activité du cortex orbito-frontal, du cortex cingulaire antérieur, du putamen. Au cours des dernières années, des anomalies structurales et fonctionnelles du cervelet ont de plus été mise en évidence dans les TOC venant compléter le modèle existant.Nous avons mise au point un protocole de traitement par tDCS ciblant le cortex orbito-frontal gauche et le cervelet droit pour les TOC résistants. Dans une première étude, nous avons étudié la faisabilité de ce protocole de traitement dans une étude ouverte. Cette étude a mis en évidence une réduction significative des symptômes dans une population de patient à haut niveau de résistance. Dans une deuxième étude, nous avons évaluer l’effet de ce traitement dans un protocole randomisé, contrôlé et parallèle contre placebo. Cette étude n’a pas confirmé l’efficacité de ce protocole de traitement. Dans cette même population, nous avons au cours du protocole mesuré les paramètres d’excitabilité corticale au niveau du cortex moteur par stimulation magnétique transrânienne. Nous avons ainsi mis en évidence que la tDCS provoquait une augmentation significative des processus d’inhibition (Short Interval Cortical Inhibition : SICI ) et une diminution non significative des processus de facilitation (Intra Cortical Facilitation : ICF). L’étude des effets cliniques et électro-physiologiques de cette approche thérapeutique novatrice dans les TOC résistants n’a pas permis de confirmer son intérêt clinique malgré un impact de ce protocole sur les modifications de l’excitabilité corticale inhérentes aux troubles. Ces données ont été mise en relation avec la littérature afin de proposer des perspectives d’évolution dans l’utilisation de la tDCS dans les TOC résistants / Obsessive-compulsive disorder (OCD) is a severe mental illness. OCD symptoms are often resistant to available treatments. Neurobiological models of OCD are based on an imbalance between the direct (excitatory) and indirect (inhibitory) pathway within this cortico-striato-thalamo-cortical loops, which causes hyperactivation in the orbito-frontal cortex, the cingular anterior cortex, the putamen. More recently, the role of cerebellum in the OCD physiopathology has been brought to light by studies showing structural and functional abnormalities. We proposed to use tDCS as a therapeutic tool for resistant OCD by targeting the hyperactive left orbito-frontal cortex with cathodal tDCS (assumed to decrease cortical excitability) coupled with anodal cerebellar tDCS. In a first study, we studied the feasibility of this treatment protocol in an open-trial. This study found a significant reduction in symptoms in a population with a high level of resistance. In a second study, we evaluated the effect of this treatment in a randomized-controlled trial. This study did not confirm the effectiveness of this intervention. We have assessed motor cortex cortical excitability parameters by transcranial magnetic stimulation. We thus demonstrated that the tDCS caused a significant increase of inhibition processes (Short Interval Cortical Inhibition: SICI) and a nonsignificant decrease in the facilitation processes (Intra Cortical Facilitation (ICF)). In addition, clinical improvement assessed by Clinical Global Impression at the end of the follow-up period (3 months) was positively correlated with SICI at baseline.tDCS with the cathode placed over the left OFC combined with the anode placed over the right cerebellum decreased hyper-excitability in the motor cortex but was not significantly effective in SSRI- resistant OCD patients. These works were discussed in light of the available literature to create future prospect in the field of tDCS treatment for OCD resistant patients

Drug-specific reward and associated effects on neural signaling are often studied between subjects, where one group self-administers drug and a separate group self-administers a natural reinforcer. However, exposure to drugs of abuse can cause long-term neural adaptations that can affect how an organism responds to drug reward, natural reward, and their reward-associated stimuli. Thus, to isolate drug-specific effects it is important to use models that expose the same organism to all of the aforementioned. Multiple schedules provide a means of dissociating the rewarding effects of a drug from the rewarding effects of food within a single animal. Further, drug users do not take drugs in isolation; rather, they are often faced with several concurrently available commodities (e.g. monetary goods, social relationships). Thus, using choice measures to assess the relative subjective value of drug reinforcers in both humans and animals promotes a translational understanding of mechanisms that govern drug-associated decision-making. Thus, in order to gain a more translational view of the neurobehavioral mechanisms that underlie drug-associated behavior, in the first study, glutamate was measured in the nucleus accumbens core (NAcC) and prefrontal cortex (PrL) in freely-moving rats as they behaved in a cocaine-food multiple schedule procedure. In the second study, oxygen dynamics were measured in the orbitofrontal cortex (OFC) of freely-moving rats as they behaved in a cocaine/food choice procedure. The results from the first study showed that, in the NAc and PrL, there was an increase in glutamate release when animals earned cocaine. Further, the number of glutamate peaks that occurred per cocaine lever press and per cocaine reinforcer was increased compared to food. In the second study, OFC oxygen dynamics were positively correlated with cocaine/food choice and generally tracked preference. Further, OFC oxygen dynamics were greater to cocaine related events. Taken together, these results showed the feasibility of combining electrochemical measurements with complex drug-related behavioral procedures. These results also highlight the importance of the PrL, NAcC, and OFC in the valuation of drug and non-drug commodities. Overall, these results add to our understanding of the neurobehavioral mechanisms that guide drug-associated behavior and create more precise experimental avenues to research potential treatments.

Mémoire numérisé par la Division de la gestion de documents et des archives de l'Université de Montréal

Chaque jour, nous prenons des décisions impliquant de choisir les options qui nous semblent les plus avantageuses, en nous basant sur nos expériences passées. Toutefois, les mécanismes et les bases neurales de l’apprentissage par renforcement restent débattus. D’une part, certains travaux suggèrent l’existence de deux systèmes opposés impliquant des aires cérébrales corticales et sous-corticales distinctes lorsque l’on apprend par la carotte ou par le bâton. D’autres part, des études ont montré une ségrégation au sein même de ces régions cérébrales ou entre des neurones traitant l’apprentissage par récompenses et celui par évitement des punitions. Le but de cette thèse était d’étudier la dynamique cérébrale de l’apprentissage par renforcement chez l’homme. Pour ce faire, nous avons utilisé des enregistrements intracérébraux réalisés chez des patients épileptiques pharmaco-résistants pendant qu’ils réalisaient une tâche d’apprentissage probabiliste. Dans les deux premières études, nous avons d’investigué la dynamique de l’encodage des signaux de renforcement, et en particulier à celui des erreurs de prédiction des récompenses et des punitions. L’enregistrement de potentiels de champs locaux dans le cortex a mis en évidence le rôle central de l’activité à haute-fréquence gamma (50-150Hz). Les résultats suggèrent que le cortex préfrontal ventro-médian est impliqué dans l’encodage des erreurs de prédiction des récompenses alors que pour l’insula antérieure, le cortex préfrontal dorsolatéral sont impliqués dans l’encodage des erreurs de prédiction des punitions. De plus, l’activité neurale de l’insula antérieure permet de prédire la performance des patients lors de l’apprentissage. Ces résultats sont cohérents avec l’existence d’une dissociation au niveau cortical pour le traitement des renforcements appétitifs et aversifs lors de la prise de décision. La seconde étude a permis d’étudier l’implication de deux noyaux limbiques du thalamus au cours du même protocole cognitif. L’enregistrement de potentiels de champs locaux a mis en évidence le rôle des activités basse fréquence thêta dans la détection des renforcements, en particulier dans leur dimension aversive. Dans une troisième étude, nous avons testé l’influence du risque sur l’apprentissage par renforcement. Nous rapportons une aversion spécifique au risque lors de l’apprentissage par évitement des punitions ainsi qu’une diminution du temps de réaction lors de choix risqués permettant l’obtention de récompenses. Cela laisse supposer un comportement global tendant vers une aversion au risque lors de l’apprentissage par évitement des punitions et au contraire une attirance pour le risque lors de l’apprentissage par récompenses, suggérant que les mécanismes d’encodage du risque et de la valence pourraient être indépendants. L’amélioration de la compréhension des mécanismes cérébraux sous-tendant la prise de décision est importante, à la fois pour mieux comprendre les déficits motivationnels caractérisant plusieurs pathologies neuropsychiatriques, mais aussi pour mieux comprendre les biais décisionnels que nous pouvons exhiber. / We make decisions every waking day of our life. Facing our options, we tend to pick the most likely to get our expected outcome. Taking into account our past experiences and their outcome is mandatory to identify the best option. This cognitive process is called reinforcement learning. To date, the underlying neural mechanisms are debated. Despite a consensus on the role of dopaminergic neurons in reward processing, several hypotheses on the neural bases of reinforcement learning coexist: either two distinct opposite systems covering cortical and subcortical areas, or a segregation of neurons within brain regions to process reward-based and punishment-avoidance learning.This PhD work aimed to identify the brain dynamics of human reinforcement learning. To unravel the neural mechanisms involved, we used intracerebral recordings in refractory epileptic patients during a probabilistic learning task. In the first study, we used a computational model to tackle the brain dynamics of reinforcement signal encoding, especially the encoding of reward and punishment prediction errors. Local field potentials exhibited the central role of high frequency gamma activity (50-150Hz) in these encodings. We report a role of the ventromedial prefrontal cortex in reward prediction error encoding while the anterior insula and the dorsolateral prefrontal cortex encoded punishment prediction errors. In addition, the magnitude of the neural response in the insula predicted behavioral learning and trial-to-trial behavioral adaptations. These results are consistent with the existence of two distinct opposite cortical systems processing reward and punishments during reinforcement learning. In a second study, we recorded the neural activity of the anterior and dorsomedial nuclei of the thalamus during the same cognitive task. Local field potentials recordings highlighted the role of low frequency theta activity in punishment processing, supporting an implication of these nuclei during punishment-avoidance learning. In a third behavioral study, we investigated the influence of risk on reinforcement learning. We observed a risk-aversion during punishment-avoidance, affecting the performance, as well as a risk-seeking behavior during reward-seeking, revealed by an increased reaction time towards appetitive risky choices. Taken together, these results suggest we are risk-seeking when we have something to gain and risk-averse when we have something to lose, in contrast to the prediction of the prospect theory.Improving our common knowledge of the brain dynamics of human reinforcement learning could improve the understanding of cognitive deficits of neurological patients, but also the decision bias all human beings can exhibit.

No description available.

Odorous sensations are based on trigeminal and olfactory perceptions. Both trigeminal and olfactory stimuli generate overlapping as well as distinctive activations in the olfactory cortex including the piriform cortex. Orbitofrontal cortex (OFC), an integrative center for all senses, is directly activated in the presence of olfactory stimulations. In contrast, the thalamus, a very important midbrain structure, is not directly activated in the presence of odors, but rather acts as a relay for portions of olfactory information between primary olfactory cortex and higher-order processing centers. The aims of the study were (1) to examine the number of streamlines between the piriform cortex and the OFC and also between the piriform cortex and the thalamus and (2) to explore potential correlations between these streamlines and trigeminal and olfactory chemosensory perceptions. Thirty-eight healthy subjects were recruited for the study and underwent diffusion MRI using a 3T MRI scanner with 67 diffusion directions. ROIs were adapted from two studies looking into olfaction in terms of functional and structural properties of the olfactory system. The “waytotal number” was used which corresponds to number of streamlines between two regions of interests. We found the number of streamlines between the piriform cortex and the thalamus to be higher in the left hemisphere, whereas the number of streamlines between the piriform cortex and the OFC were higher in the right hemisphere. We also found streamlines between the piriform cortex and the thalamus to be positively correlated with the intensity of irritating (trigeminal) odors. On the other hand, streamlines between the piriform cortex and the OFC were correlated with the threshold scores for these trigeminal odors. This is the first studying the correlations between streamlines and olfactory scores using tractography. Results suggest that different chemosensory stimuli are processed through different networks in the chemosensory system involving the thalamus.

People suffering from congenital anosmia show normal brain architecture although they do not have functional sense of smell. Some studies in this regard point to the changes in secondary olfactory cortex, orbitofrontal cortex (OFC), in terms of gray matter volume increase. However, diffusion tensor imaging has not been explored so far. We included 13 congenital anosmia subjects together with 15 controls and looked into various diffusion parameters like FA. Increased FA in bilateral OFC confirms the earlier studies reporting increased gray matter thickness. However, it is quite difficult to interpret FA in terms of gray matter volume. Increased FA has been seen with recovery after traumatic brain injury. Such changes in OFC point to the plastic nature of the brain.

No description available.

No description available.

很多行為的建構基礎是來自酬賞動機，而個體的行為表現通常是動態的歷程，其中對酬賞物的“價值”比較，是決定行為是否輸出或輸出多少的重要關鍵。在鼠類的動物行為模式中，可以利用甜液舔飲來進行這種對比(contrast)歷程的實驗。在受試可先後獲得兩次舔飲機會的實驗情境中，若兩管濃度皆為4%的蔗糖液先後間隔特定時距出現，受試會隨訓練天數增加而增加對兩管糖液的舔飲表現。若第一管4%蔗糖液之後會呈現濃度較高的32%蔗糖液，受試舔飲第一管同為濃度4%蔗糖液的表現會隨訓練天數增加而先增後減。這兩組受試對第一管糖液的舔飲量差異，即稱為預期性對比效果。一般認為此現象是受試等待與預期較高酬賞價值的糖液，而抑制當前較低酬賞價值糖液的舔飲。過去對此現象的研究主要關注在行為層面的探討，然而其相關神經機制的研究並不多，本研究的目的即在於探討與習得或形成預期性對比行為有關的神經機制。一般認為預期性對比效果的習得包含多階段的歷程，可能與多種心理行為面向有關，因此很有可能是經由多元性的神經機制參與。預期性對比效果的形成與否與兩糖液呈現的間距長短有很大的關係。本研究實驗一以0.5分鐘、2分鐘以及6分鐘三個不同的糖液間距引發的預期對比效果，從當中選取可有效形成預期性對比效果的0.5分鐘為實驗二糖液間距的依據。實驗二分別以興奮性神經毒素破壞依核核心區、眶前額皮質區以及杏仁體基側核區等三個神經區域。結果顯示杏仁核基側核區破壞不影響預期性對比效果的習得，而依核核心區以及眶前額皮質的破壞使受試無法習得預期性對比效果。綜合以上結果，預期性對比效果的習得是依靠有效的糖液呈現間距去進行酬賞比較，腦中依核核心區及眶前額皮質區與該種對比有關。 / Many types of behavior are constructed on the basis of reward motivation, which can be run in dynamic processes. Among those processes potentially involved, the reward comparison is a key determinant for the magnitude of behavioral output. The licking of sweet solution in the rat can be used as an animal model to investigate the contrast effect derived from reward comparison. In which, the subjects presented two sweet solutions in a sequential order each day may suppress intake of the first solution if the second solution is preferred. This phenomenon is termed anticipatory contrast effect (ACE). It is hypothesized that ACE could be built via an inhibition process associated with subject’s waiting for a preferred solution as presented by a less preferred solution. Most of the previous studies were mainly focused on the behavioral aspects of ACE. The present study intended to investigate the neural mechanisms of ACE. In considering that the formation of ACE requires multiple-stage processes, this study presumed that more than one brain area could be involved in mediating those psycho-behavioral processes. Experiment 1 was intended to establish behavioral model by manipulating the effectiveness of different inter-solution interval (ISI; 0.5, 2.0, and 6.0 min). The results showed that the ISI of 0.5 min is the critical parameters for the successful formation of ACE, which was then applied in Experiment 2. Experiment 2 investigated the effects of excitotoxin lesion conducted by ibotenic acid in the nucleus accumbens core (NACc), orbitofrontal cortex (OFC) or basolateral amygdala (BLA) on the acquisition of ACE. The result showed the rats with NACc or OFC lesion significantly failed to acquire ACE, but no such impairment appeared to BLA lesion. Together, these data suggest that the formation of ACE is depended upon the ISI leading to an effective reward comparison, and the NACc or OFC is involved in such a contrast processing.