On assiste à un essor spectaculaire des méthodes optiques pour suivre l’activité de populations neuronales in vivo. Ceci a permis de mettre en évidence des motifs remarquables d’organisation fonctionnelle à l’échelle mésoscopique impliqués dans de nombreuses fonctions cérébrales physiopathologiques. Cette thèse vise à mettre en place les outils permettant de disséquer les circuits sous-tendant ces motifs remarquables selon une approche expérimentale basée uniquement sur la microscopie optique. Plus particulièrement, ces outils ont été optimisés pour décrire la région CA1 de l’hippocampe adulte et le « barrel cortex » au cours du développement. En effet, deux motifs remarquables ont récemment été mis en évidence dans ces structures, les assemblées neuronales de CA1 adulte impliquées d’une part dans des processus de mémorisation et les neurones Hubs du cortex en développement et d’autre part participant au développement postnatal des circuits neuronaux. Dans ce contexte, nous avons développé un nouveau paradigme expérimental combinant imagerie calcique biphotonique in vivo, photostimulation par illumination holographique et analyse mathématique. Nous avons optimisé le choix et la co-expression de la sonde calcique et de l’opsine dans nos conditions expérimentales, et calibré leur utilisation dans les neurones de différentes structures cérébrales. De plus, nous avons conçu et assemblé un nouveau microscope à deux voies d’excitation, une pour l’imagerie calcique et l’autre pour la photostimulation holographique in vivo. Cette nouvelle approche expérimentale est en cours de validation sur les neurones Hubs à forte connectivité du « barrel cortex » en développement. / Over The last five years we have observed a huge improvement of optical methods to monitor the activity of neuronal populations in vivo. With these new approaches, remarkable patterns of functional organization at the mesoscopic scale that are involved in many pathophysiological brain functions were highlighted. This thesis aims to develop tools allowing us to dissect the circuits underlying these remarkable patterns according to an experimental approach based on all optical microscopy. These tools have been optimized to describe the functional organization of CA1 neurons in the adult hippocampus as well as in the barrel cortex during development. Two remarkable patterns have recently been identified in these structures, first, adult CA1 neural assemblies involved in memory processes and second, Hub cortical neurons that shape neuronal circuit during development. We have developed a new experimental paradigm combining in vivo two photon calcium imaging, holography photostimulation and mathematical analysis. We optimized the choice and co-expression of calcium probe (GCaMP6s) and opsin (Chronos and ChR2H134R) in our experimental conditions and calibrated their use in neurons of different brain structures. In addition, we designed and assembled a new two-path excitation microscope, one for calcium imaging and the other for in vivo holography photostimulation. This new experimental approach is being validated on Hub neurons with high connectivity in the developing barrel cortex.

Les hallucinations auditives sont un symptôme fréquent et invalidant de la schizophrénie. Bien qu'habituellement jugulés par des traitements antipsychotiques, ces symptômes sont résistants dans 25 % des cas et leur physiopathologie reste méconnue. Dans ce travail de thèse, nous proposons d'utiliser la stimulation transcrânienne en courant continu (tDCS) dans une série d'études afin de traiter et de caractériser les hallucinations auditives résistantes de la schizophrénie. Dans une première série d'études cliniques, nous avons rapporté que la tDCS fronto-temporale diminuait les hallucinations auditives de la schizophrénie. Dans une autre étude, nous avons montré que la diminution des hallucinations auditives était corrélée à l'amélioration des processus cognitifs de source- monitoring chez les patients. Dans une étude chez des sujets sains, nous avons montré que ces processus cognitifs étaient liés à l'activité de la jonction temporo-pariétale gauche. Enfin, dans une étude d'imagerie, nous avons montré que la tDCS fronto-temporale modulait la connectivité fonctionnelle de la jonction temporo-pariétale gauche avec un large réseau cérébral impliqué dans les hallucinations et le traitement du langage. L'étude des effets cliniques, cognitifs et neurophysiologiques de la tDCS nous a permis de mieux comprendre la physiopathologie des hallucinations auditives et notamment le rôle central de la jonction temporo-pariétale gauche. Ces travaux seront mis en relation et confrontés à la littérature existante, afin de proposer des perspectives de prise en charge des hallucinations auditives / Auditory hallucinations are prominent and disabling features of schizophrenia. For 25%-30% of patients with schizophrenia, such hallucinations are refractory to drug treatment and their physiopathology remains unknown. This thesis aims at using transcranial direct current stimulation (tDCS) in several studies to alleviate and characterize refractory auditory hallucinations in schizophrenia. First, we conducted a clinical study in patients with schizophrenia and we reported that fronto-temporal tDCS reduced auditory hallucinations. ln another study, we reported that the reduced severity of auditory hallucinations was correlated with improved source monitoring performances. ln a study in healthy volunteers, we reported that source-monitoring processes were associated with activity of the left temporo-parietal junction. Finally, using functional magnetic resonance imaging, we observed that tDCS modulates the functional connectivity of the left temporo-parietal junction with a distributed network involved in auditory hallucinations and language processing. The study of clinical, cognitive and neural effects of tDCS allows a better understanding of brain mechanisms involved in auditory hallucinations and of the central role of the left temporo-parietal junction. These works were discussed together in light of available literature to pave the way for valuable alternative approaches to alleviate auditoryhallucinations in schizophrenia

The success or failure of many organisms to respond to the challenges of habitat destruction and a warming climate lies in the ability of plant species to disperse between isolated habitats or to migrate to new ranges. European semi-natural grasslands represent one of the world's most species-rich habitats at small scales, but agricultural intensification during the 20th century has meant that many plant species are left only on small fragments of former habitat. It is important that these plants can disperse, both for the maintenance of existing populations, and for the colonisation of target species to restored grasslands. This thesis investigates the ecological, geographical and historical influences on seed dispersal and connectivity in semi-natural grasslands, and the mobility of plants through time and space. Seed dispersal by human activity has played a large role in the build-up of plant communities in rural landscapes, but patterns have shifted. Livestock are the most traditional, and probably the most capable seed dispersal vector in the landscape, but other dispersal methods may also be effective. Motor vehicles disperse seeds with similar traits to those dispersed by livestock, while 39% of valuable grasslands in southern Sweden are connected by the road network. Humans are found to disperse around one-third of available grassland species, including several protected and red-listed species, indicating that humans may have been valuable seed dispersers in the past when rural populations were larger. Past activities can also affect seed mobility in time through the seed bank, as seeds of grassland plant species are shown to remain in the soil even after the grassland had been abandoned. Today however, low seed rain in intensively grazed semi-natural grasslands indicates that seed production may be a limiting factor in allowing seeds to be dispersed in space through the landscape. / <p>At the time of the doctoral defense, the following papers were unpublished and had a status as follows: Paper 3: Accepted. Paper 4: In press. Paper 5: Manuscript.</p>

Recent proposals have attributed a key role to novelty in the formation of new episodic memories. These proposals are based on evidence of enhanced memory and greater metabolic activity in the hippocampus in response to novel relative to familiar materials. However, such novelty effects are incongruous with long-standing observations that familiar items and lists are associated with better memory than novel ones. In four experiments, I explored possible reasons for this apparent discrepancy. In Experiment 1, I directly tested whether previously observed novelty effects were the result of novelty, discrimination demands, or both. I used linguistic materials (proverbs) to replicate the novelty effect but found it occurred only when familiar items were subject to source confusion. In Experiment 2, to examine better how novelty influences episodic memory, I used experimentally familiar, pre-experimentally familiar, and novel proverbs in a paradigm designed to overcome discrimination demand confounds. Memory was better for both types of familiar proverbs. These cognitive results indicate that familiarity, not novelty, leads to better episodic memory for studied items, regardless of whether familiarity is experimentally induced or based on prior knowledge. I also conducted two fMRI experiments to evaluate the neural correlates of the encoding of novel and familiar forms of information. In Experiment 3, I compared the neural encoding correlates of source memory for novel and familiar visual scenes using fMRI. Replicating previous neuroimaging studies, I observed an anterior novelty-sensitive region of the hippocampus specialized in novelty encoding. Unlike past studies, I also probed for familiarity-encoding regions and identified such regions in the posterior hippocampus. I replicated this pattern in Experiment 4 using proverbs as stimuli. As in Experiment 2, I found the effect held whether familiarity was based on prior knowledge or experimental induction. In both fMRI experiments, anterior and posterior hippocampal regions were functionally connected with different large-scale networks, helping to explain local variation in hippocampal functional specialization in terms of different neural contexts. Together, these experiments show that stimulus familiarity enhances episodic memory for materials, and that novelty is processed differently, not preferentially, in the hippocampus. A new model of hippocampal novelty processing is proposed.

Recent proposals have attributed a key role to novelty in the formation of new episodic memories. These proposals are based on evidence of enhanced memory and greater metabolic activity in the hippocampus in response to novel relative to familiar materials. However, such novelty effects are incongruous with long-standing observations that familiar items and lists are associated with better memory than novel ones. In four experiments, I explored possible reasons for this apparent discrepancy. In Experiment 1, I directly tested whether previously observed novelty effects were the result of novelty, discrimination demands, or both. I used linguistic materials (proverbs) to replicate the novelty effect but found it occurred only when familiar items were subject to source confusion. In Experiment 2, to examine better how novelty influences episodic memory, I used experimentally familiar, pre-experimentally familiar, and novel proverbs in a paradigm designed to overcome discrimination demand confounds. Memory was better for both types of familiar proverbs. These cognitive results indicate that familiarity, not novelty, leads to better episodic memory for studied items, regardless of whether familiarity is experimentally induced or based on prior knowledge. I also conducted two fMRI experiments to evaluate the neural correlates of the encoding of novel and familiar forms of information. In Experiment 3, I compared the neural encoding correlates of source memory for novel and familiar visual scenes using fMRI. Replicating previous neuroimaging studies, I observed an anterior novelty-sensitive region of the hippocampus specialized in novelty encoding. Unlike past studies, I also probed for familiarity-encoding regions and identified such regions in the posterior hippocampus. I replicated this pattern in Experiment 4 using proverbs as stimuli. As in Experiment 2, I found the effect held whether familiarity was based on prior knowledge or experimental induction. In both fMRI experiments, anterior and posterior hippocampal regions were functionally connected with different large-scale networks, helping to explain local variation in hippocampal functional specialization in terms of different neural contexts. Together, these experiments show that stimulus familiarity enhances episodic memory for materials, and that novelty is processed differently, not preferentially, in the hippocampus. A new model of hippocampal novelty processing is proposed.

Goal-directed behavior is based on representations of contingencies between a certain situation (S), a certain (re)action (R) and a certain outcome (O). These S-R-O representations enable flexible response selection in different situations according to the currently pursued goal. Importantly however, the successful formation of such representations is a necessary but not sufficient precondition for goal-directed behavior which additionally requires the actual usage of the contingency information for action control. The present fMRI study aimed at identifying the neural basis of each of these two aspects: representing vs. explicitly using experienced S-R-O contingencies. To this end, we created three experimental conditions: S-R-O contingency present and used for outcome-based response selection, S-R-O contingency present but not used, and S-R-O contingency absent. The comparison between conditions with and without S-R-O contingency revealed that the angular gyrus is relevant for representing S-R-O contingencies. The explicit usage of learnt S-R-O representations in turn was associated with increased functional coupling between angular gyrus and several subcortical (hippocampus, caudate head), prefrontal (lateral orbitofrontal cortex (OFC), rostrolateral prefrontal cortex (RLPFC)) and cerebellar areas, which we suggest represent different explicit and implicit processes of goal-directed action control. Hence, we ascribe a central role to the angular gyrus in associating actions to their sensory outcomes which is used to guide behavior through coupling of the angular gyrus with multiple areas related to different aspects of action control.

No description available.

Background: Learning by conditioning is a key ability of animals and humans for acquiring novel behavior necessary for survival in a changing environment. Aberrant conditioning has been considered a crucial factor in the etiology and maintenance of panic disorder with agoraphobia (PD/A). Cognitive-behavioral therapy (CBT) is an effective treatment for PD/A. However, the neural mechanisms underlying the effects of CBT on conditioning processes in PD/A are unknown. Methods: In a randomized, controlled, multicenter clinical trial in medication-free patients with PD/A who were treated with 12 sessions of manualized CBT, functional magnetic resonance imaging (fMRI) was used during fear conditioning before and after CBT. Quality-controlled fMRI data from 42 patients and 42 healthy subjects were obtained. Results: After CBT, patients compared to control subjects revealed reduced activation for the conditioned response (CS+ > CS–) in the left inferior frontal gyrus (IFG). This activation reduction was correlated with reduction in agoraphobic symptoms from t1 to t2. Patients compared to control subjects also demonstrated increased connectivity between the IFG and regions of the “fear network” (amygdalae, insulae, anterior cingulate cortex) across time. Conclusions: This study demonstrates the link between cerebral correlates of cognitive (IFG) and emotional (“fear network”) processing during symptom improvement across time in PD/A. Further research along this line has promising potential to support the development and further optimization of targeted treatments.

MEG and fMRI offer complementary insights into connected human brain function. Evidence from the use of both techniques in the study of networked activity indicates that functional connectivity reflects almost every measurable aspect of human reality, being indicative of ability and deteriorating with disease. Functional network analyses may offer improved prediction of dysfunction and characterisation of cognition. Three factors holding back progress are the difficulty in synthesising information from multiple imaging modalities; a need for accurate modelling of connectivity in individual subjects, not just average effects; and a lack of scalable solutions to these problems that are applicable in a big-data setting. I propose two methodological advances that tackle these issues. A confound to network analysis in MEG, the artificial correlations induced across the brain by the process of source reconstruction, prevents the transfer of connectivity models from fMRI to MEG. The first advance is a fast correction for this confound, allowing comparable analyses to be performed in both modalities. A comparative study demonstrates that this new approach for MEG shows better repeatability for connectivity estimation, both within and between subjects, than a wide range of alternative models in popular use. A case-study analysis uses both fMRI and MEG recordings from a large dataset to determine the genetic basis for functional connectivity in the human brain. Genes account for 20% - 65% of the variation in connectivity, and outweigh the influence of the developmental environment. The second advance is a Bayesian hierarchical model for sparse functional networks that is applicable to both modalities. By sharing information over a group of subjects, more accurate estimates can be constructed for individuals' connectivity patterns. The approach scales to large datasets, outperforms state-of-the-art methods, and can provide a 50% noise reduction in MEG resting-state networks.

No description available.