Bildgebende Studien haben gezeigt, dass bei schizophrenen Patienten Positivsymptome mit Veränderungen mesolimbischer Aktivierungsmuster unter Einbeziehung des Nucleus accumbens in Zusammenhang stehen. Hierbei ist von besonderem Interesse, dass der Nucleus accumbens Teil des Belohnungssystems ist, wobei die integrale „Bewertung“ belohnungsanzeigender Reize präfrontalen kortikalen Strukturen, insbesondere dem anterioren Zingulum, zuzurechnen ist. Bereits in der Antizipationsphase potentiell belohnender Reize, werden vermutlich zur Berechnung von Prädiktionsabweichungen dopaminerge Signale in der VTA generiert und modulieren den Nucleus accumbens. Es gibt zahlreiche Hinweise, dass glutamaterge Neurone des anterioren Zingulums die Dopaminausschüttung im Nucleus accumbens beeinflussen, und dass diese Modulation bei Erkrankungen wie der Schizophrenie beeinträchtigt ist. Ziel der vorliegenden Arbeit war es, mittels funktioneller Magnetresonanztomographie und Protonen Magnetresonanzspektroskopie, Hinweise über den Zusammenhang zwischen der glutamatergen Neurotransmission des ACC und belohnungsassoziierter Dopaminausschüttung im Nucleus accumbens bei 23 gesunden Probanden und bei 23 unmedizierten schizophrenen Patienten zu erlangen. Die Ergebnisse weisen darauf hin, dass die gegenseitige Modulation von anteriorem Zingulum und Nucleus accumbens bei schizophrenen Patienten gestört ist. Dieses und weitere Ergebnisse wurden im theoretischen Rahmen der NMDA-Rezeptor-Hypoaktivität und einer gestörten Balance zwischen Dopamin-D1- und Dopamin-D2-Rezeptor-Aktivität als pathophysiologische Korrelate schizophrener Erkrankungen diskutiert. / Imaging studies have demonstrated that for schizophrenic patients a correlation exists between positive symptoms and changes in the patterns of mesolimbic activity. Especially the changes in the ncl. accumbens (Nac) were interpreted in connection with the reward system. The signals indicating reward are thought to be processed by the anterior cingulum (ACC). These structures attribute meaning to the reward signals. In the anticipation phase of a potentially rewarding stimulus, dopaminergic signals from the VTA are generated in prediction of expected or aberrant outcome, thus modulating the Nac. Data indicate a direct modulation of the Nac. by glutamatergic neurons of the anterior cingulum. A major aim of this thesis is to establish a connection between the reward associated dopaminergic signals of the ncl. accumbens and the glutamatergic projections of the acc in unmedicated schizophrenic patients and healthy controls. The methods included measurements of proton magnetic resonance spectroscopy (1H-MRS) and functional MRI-scans done at a 3-Tesla tomograph. The paradigm applied was a modified version of the monetary incentive delay paradigm (Knutson et al. 2000). In healthy volunteers we found a significant negative correlation between the glutamate concentration in the ACC and the BOLD-contrast in the Nac (reward versus neutral), in contrast to the findings in schizophrenic patients. A significant higher BOLD-contrast was seen in the anticipation phase in healthy controls. The results were incorporated in a model of NMDA-R-Hypoaktivity. In addition to discussing the functional aspects for the structures involved the model was further expanded to include the hypothesis of a disturbed balance between dopamine-D1- and -D2-receptor activity and a dysfunctional hippocampal gating-process. The so constructed model suggests a profound striato-thalamo-cortical filter disturbance as the basis of the observed aberrations in the reward processing in schizophrenic disorders.

Ausgangspunkt dieser Dissertation ist, dass mit stabilen Präferenzen unvereinbares Verhalten für die Standardökonomik eine Herausforderung darstellt. Eines der sich stellenden Probleme ist, dass sich wandelnde Präferenzen der normativen Analyse abträglich sind: Wenn nicht vorhersagbar ist, ob und wie Präferenzen abhängig von der Situation und von institutionellen Arrangements variieren, lässt sich keine optimale Wirtschaftspolitik bestimmen. Es wird argumentiert, dass die Ökonomik daher auch in Betracht ziehen muss, wie Präferenzen evolvieren und wie ökonomische Akteure Informationen - z. B. Wahrscheinlichkeiten und Auszahlungen -verarbeiten. In den folgenden Kapiteln werden zwei Studien vorgestellt, die dieses Ziel verfolgen, indem sie den Prozess der Entscheidungsfindung experimentell untersuchen. Die erste Studie, "Kognitive Last erhöht Risikoaversion", zeigt, dass eine spezifische Änderung des Entscheidungsumfelds - nämlich eine Erhöhung der kognitiven Last - einen messbaren Einfluss auf die Risikoeinstellungen der Versuchspersonen hatte. Zudem werden die beobachteten Verhaltensänderungen in Verbindung zu existierenden Mehr-System-Modellen der Entscheidungsfindung gesetzt. Die ebenfalls gemessenen Reaktionszeiten bestätigt die Interpretation, dass die Entscheidungsfindung unter Risiko das Produkt interagierender Systeme im menschlichen Hirn ist. Die zweite Studie, "Soziales Lernen auf Finanzmärkten", verfolgt das Ziel, die normalerweise verborgenen Komponenten Präferenzen und Überzeugungen beobachtbar zu machen. Zu diesem Zweck absolvierten Versuchspersonen ein Experiment, während ihre Hirnaktivierung per funktioneller Magnetresonanztomografie gemessen wurde. Dies erweitert den analysierbaren Datensatz über die getroffenen Entscheidungen hinaus um Maße der Hirnaktivierung. Dadurch trägt diese Studie zur Identifizierung der Faktoren bei, die bestimmen, in welchem Umfang wir aus der Beobachtung der Entscheidungen anderer lernen. / The point of departure of this dissertation is that behavior which is inconsistent with stable preferences poses a challenge for mainstream economics. One of the issues that arise is that changing preferences are detrimental to the objective of normative economics: If one cannot predict whether and how people’s preferences vary across situations or institutions, one cannot determine which economic policy would be optimal. Based on this, it is argued that economics has to take into account how preferences evolve and how information - e.g., probabilities and payoffs - is processed by economic agents. In the following two chapters, two experimental studies are presented that pursue this goal by investigating the process by which people make decisions. The first study, "Cognitive load increases risk aversion," shows that a specific change in the environment - in this case, an increase in cognitive load - had a measurable impact on subjects’ risk attitudes. Importantly, it also relates the observed changes to existing dual-system models of decision making. The response times which were recorded in addition to subjects’ choices contribute to the interpretation of the study’s findings, since they support the view that decision making under risk is the product of interacting systems in the human brain. The second study, "Social learning in asset markets," has the objective of making the latent components preferences and beliefs observable. To this end, subjects participated in a social-learning experiment while their brain activation was recorded via functional magnetic-resonance imaging. This enlarges the analyzable dataset through measures of subjects’ brain activation in addition to subjects’ choices. In doing so, the study contributes to identifying the factors that shape to what extent we learn from observing the choices of other human beings.

A number of studies have concluded that cognitive control is not fully established until late adolescence. The precise differences in brain function between adults and adolescents with respect to cognitive control, however, remain unclear. To address this issue, we conducted a study in which 185 adolescents (mean age (SD) 14.6 (0.3) years) and 28 adults (mean age (SD) 25.2 (6.3) years) performed a single task that included both a stimulus-response (S-R) interference component and a task-switching component. Behavioural responses (i.e. reaction time, RT; error rate, ER) and brain activity during correct, error and post-error trials, detected by functional magnetic resonance imaging (fMRI), were measured. Behaviourally, RT and ER were significantly higher in incongruent than in congruent trials and in switch than in repeat trials. The two groups did not differ in RT during correct trials, but adolescents had a significantly higher ER than adults. In line with similar RTs, brain responses during correct trials did not differ between groups, indicating that adolescents and adults engage the same cognitive control network to successfully overcome S-R interference or task switches. Interestingly, adolescents with stronger brain activation in the bilateral insulae during error trials and in fronto-parietal regions of the cognitive control network during post-error trials did have lower ERs. This indicates that those mid-adolescents who commit fewer errors are better at monitoring their performance, and after detecting errors are more capable of flexibly allocating further cognitive control resources. Although we did not detect a convincing neural correlate of the observed behavioural differences between adolescents and adults, the revealed interindividual differences in adolescents might at least in part be due to brain development.

Le maintien de performances cognitives optimales au cours du vieillissement a été associé à des changements adaptatifs au niveau de l’activité cérébrale relative à diverses habiletés qui tendent à décliner avec l’âge. Peu d’études ont toutefois évalué cette réorganisation neurofonctionnelle dans le cadre des habiletés de communication, notamment en ce qui concerne le langage expressif. Or, considérant que plusieurs composantes langagières demeurent généralement intègres chez les aînés, il s’avère nécessaire d’explorer davantage les mécanismes cérébraux sous-jacents afin de mieux cerner les déterminants du vieillissement cognitif réussi. L’objectif de la présente thèse est d’examiner en détail les effets de l’âge sur les patrons d’activations et les interactions fonctionnelles entre les substrats neuraux contribuant aux habiletés de communication expressive. Deux études en neuroimagerie fonctionnelle, ayant recours à des approches méthodologiques distinctes, ont ainsi été menées à l’aide d’un paradigme mixte novateur et d’une tâche auto-rythmée d’évocation lexicale sémantique et orthographique, effectuée par des participants jeunes et âgés présentant plusieurs années de scolarisation. S’intéressant spécifiquement aux patrons d’activations associés à un rendement élevé à cette tâche, la première étude révèle que le maintien des habiletés d’évocation lexicale lors du vieillissement s’accompagne de changements neurofonctionnels superficiels chez les adultes âgés performants. Par contre, la seconde étude indique que les interactions fonctionnelles entre les régions corticales contribuant aux productions lexicales déclinent considérablement avec l’âge, sans qu’il y ait toutefois d’impact au plan comportemental. Cet effet du vieillissement sur l’intégration fonctionnelle du réseau de l’évocation sémantique et orthographique est aussi exacerbé par la difficulté de la tâche, ce qui s’exprime par des perturbations locales de la connectivité fonctionnelle. Somme toute, cette thèse démontre qu’une réorganisation neurofonctionnelle afin de maintenir les habiletés d’évocation lexicale au cours du vieillissement s’avère superflue chez les adultes âgés instruits et performants, et ce, malgré une diminution des interactions fonctionnelles au sein des réseaux corticaux sous-jacents. Ces résultats reflètent possiblement une perte d’efficience neurale avec l’âge, toutefois insuffisante pour avoir un impact comportemental chez des individus bénéficiant de facteurs de protection susceptibles de favoriser le vieillissement réussi, ce qui est discuté à la lumière du concept de réserve cognitive. / The maintenance of optimal cognitive performance in aging has been associated with adaptive changes in cerebral activation patterns for various abilities that tend to decline with age. Yet, few studies have investigated this neurofunctional reorganization based on communication abilities, particularly with regard to the expressive side of language. Considering that a number of language components usually remain well preserved in older adults, it is, however, necessary to further explore the underlying cerebral mechanisms to better understand the determinants of successful cognitive aging. The objective of this thesis is to examine in detail the effects of aging on activation patterns and functional interactions among neural substrates contributing to expressive communication abilities. Two functional neuroimaging studies, using distinct methodological approaches, have been conducted by means of an innovative mixed design and an overt self-paced semantic and orthographic verbal fluency task, performed by well-educated young and older adults. Specifically focusing of cerebral activation patterns associated with high levels of verbal fluency performance, the first study shows that the relative preservation of lexical speech production abilities in aging is characterized by marginal neurofunctional changes in high-performing older adults. Yet, the second study indicates that functional interactions between cortical areas contributing to speech productions significantly decrease with age, without, however, having an impact at the behavioral level. In addition, this effect of aging on the functional integration of the network engaged during semantic and orthographic verbal fluency was found to be exacerbated by task demands, which is expressed by local functional connectivity disruptions. In sum, this thesis demonstrates that a neurofunctional reorganization to maintain lexical speech production abilities in aging is unnecessary in well-educated and high-performing older adults, despite an age-related decrease in functional networks integration. These results may reflect a loss of neural efficiency with age, although insufficient to have behavioral outcomes in individuals who benefited from protective factors known to promote successful aging, which is discussed in light of the concept of cognitive reserve.

The physical complications of Type 1 diabetes mellitus (T1DM) have been understood as an accelerated ageing process (Morley, 2008). Do people with T1DM also experience accelerated cognitive and brain ageing? Using findings from research of the normal cognitive and brain ageing process and conceptualized in theories of the functional brain changes in cognitive ageing, a combination of cognitive testing and functional magnetic resonance imaging (fMRI) techniques were used to evaluate evidence of accelerated cognitive and brain ageing in middle-aged adults with T1DM. The first part of this thesis comprises a cognitive study of 94 adults (≥ 45 years of age) with long duration (≥ 10 years) of T1DM. Participants completed cognitive assessment and questionnaires on general mood and feelings about living with diabetes. Findings highlighted the importance of microvascular disease (specifically retinopathy) as an independent predictor of cognitive function. The incidence and predictors of mild cognitive impairment (MCI) were then explored. Results indicate a higher percentage of the group met criteria for MCI than expected based on incidence rates in the general population, providing initial evidence of accelerated cognitive ageing. Psychological factors were explored next. The relationship between the measures of well-being, diabetes health, and cognitive function highlighted the need for attention to patient's psychological well-being in diabetes care. Finally, a subgroup of 30 participants between the ages of 45 and 65 who differed on severity of retinopathy were selected to take part in an fMRI study. Blood oxygen level dependent (BOLD) activity was evaluated while participants were engaged in cognitive tasks and during rest. The findings provided evidence that the pattern of BOLD activation and functional connectivity for those with high severity of retinopathy are similar to patterns found in adults over the age of 65. In line with the theories of cognitive ageing, functional brain changes appear to maintain a level of cognitive function. Evidence of accelerated brain ageing in this primarily middle-aged group, emphasizes the importance of treatments and regimens to prevent or minimize microvascular complications.

No description available.

A inferência do curso temporal da atividade neural a partir do efeito BOLD é um importante problema, ainda em aberto. A forma da curva BOLD não reflete diretamente as características temporais da atividade eletrofisiológica dos neurônios. Nessa tese, é introduzido o conceito de tempo de processamento neural (TPN) como um dos parâmetros do modelo biofísico da função de resposta hemodinâmica (HRF). O objetivo da introdução desse conceito é obter estimativas mais acuradas da duração da atividade neural a partir do efeito BOLD, que possui auto grau de nãolinearidade. Duas formas de estimar os parâmetros do modelo do efeito BOLD foram desenvolvidas. A validade e aplicabilidade do conceito de TPN e das rotinas de estimação foram avaliadas por simulações computacionais e análise de séries temporais experimentais. Os resultados das simulações e da aplicação foram comparados com medidas da forma da HRF. O experimento analisado consistiu em um paradigma de tomada de decisão na presença de distratores emocionais. Esperase que o TPN em áreas sensoriais primárias seja equivalente ao tempo de apresentação de estímulos. Por outro lado, o TPN em áreas relacionadas com a tomada de decisão deve ser menor que a duração dos estímulos. Além disso, o TPN deve depender da condição experimental em áreas relacionadas ao controle de distratores emocionais. Como predito, o valores estimados do TPN no giro fusiforme foram equivalentes à duração dos estímulos e o TPN no giro do cíngulo dorsal variou com a presença de distrator emocional. Observou-se ainda lateralidade do TPN no córtex pré-frontal dorsolateral. As medidas da forma da HRF obtidas por um método convencional não dectectaram as variações observadas no TPN / The extraction of information about neural activity dynamics related to the BOLD signal is a challenging task. The temporal evolution of the BOLD signal does not directly reflect the temporal characteristics of electrical activity of neurons. In this work, we introduce the concept of neural processing time (NPT) as a parameter of the biophysical model of the hemodynamic response function (HRF). Through this new concept we aim to infer more accurately the duration of neuronal response from the highly nonlinear BOLD effect. We describe two routines to estimate the parameters of the HRF model. The face validity and applicability of the concept of NPT and the estimation procedures are evaluated through simulations and analysis of experimental time series. The results of both simulation and application were compared with summary measures of HRF shape. We analysed an experiment based on a decision-making paradigm with simultaneous emotional distracters. We hypothesize that the NPT in primary sensory areas is approximately the stimulus presentation duration. On the other hand, the NPT in brain areas related to decisionmaking processes should be less than the stimulus duration. Moreover, in areas related to processing of an emotional distracter, the NPT should depend on the experimental condition. As predicted, the NPT in fusiform gyrus is close to the stimulus duration and the NPT in dorsal anterior cingulate gyrus depends on the presence of an emotional distracter. Interestingly, the estimated NPTs in the dorsolateral prefrontal cortex indicate functional laterality of this region. The analysis using standard measures of HRF did not detect the variations observed in our method (NPT)

Les fonctions cognitives reposent sur la communication dynamique de régions cérébrales interconnectées. Dans la maladie d’Alzheimer (MA), les travaux antérieurs suggèrent que le processus neuropathologique cible de façon précoce un ou plusieurs systèmes anatomo-fonctionnels spécifiques. La dysfonction du réseau par défaut a été objectivée de façon consistante. Cependant, ses relations avec les symptômes cliniques et avec l’atteinte des régions du lobe temporal interne qui lui sont fonctionnellement connectées restent à clarifier. L’IRM fonctionnelle de repos est une technique pertinente pour caractériser in vivo chez l’Homme la connectivité cérébrale.Par une approche des systèmes neuraux, ce travail de thèse a pour objectif de caractériser la réorganisation fonctionnelle neuronale dans la MA, ses corrélats cliniques, ainsi que l’influence de l’âge de début des symptômes. Par le recueil et l’analyse des données neuropsychologiques, en IRMf de repos et en IRM structurale, acquises chez des sujets avec des troubles de la mémoire et avec une forme mnésique légère de MA, notre travail apporte des éclairages : i) sur l’implication du réseau temporal antérieur dans la mémoire déclarative décontextualisée et ses modifications dans le cours de la MA ; ii) sur les similitudes et spécificités des systèmes anatomo-fonctionnels ciblés dans les deux formes cliniques distinctes - à début précoce et tardif - de la MA ; iii) sur la réorganisation de l’organisation topologique cérébrale dans son ensemble de ces deux formes de la maladie. / Cognitive functions rely on the dynamic interplay of connected brain regions. Previous studies suggest that in Alzheimer disease (AD), early pathological changes target one or several specific anatomo-functional networks. Dysfunction of the default mode network is a consistent finding. However, its relationship with clinical symptoms and interconnected medial temporal regions remains to be clarified. Resting state functional MRI (fMRI) is an emerging method aimed at characterizing in vivo brain connectivity in the Human.Using a neural system approach, the aim of this thesis was to characterize neuronal functional reorganization in AD, its clinical correlates, and to determine the influence of age at onset. Neuropsychological data, structural and fMRI were obtained in subjects with early memory impairment and mild “amnestic” AD. This work provides new insights into : i) the functional role of the anterior temporal network in context-free declarative memory and its changes throughout the course of AD; ii) the common and specific features in targeted anatomo-functional networks between early and late onset AD ; iii) the reorganization of whole brain topological properties in the two forms of the disease.

A inferência do curso temporal da atividade neural a partir do efeito BOLD é um importante problema, ainda em aberto. A forma da curva BOLD não reflete diretamente as características temporais da atividade eletrofisiológica dos neurônios. Nessa tese, é introduzido o conceito de tempo de processamento neural (TPN) como um dos parâmetros do modelo biofísico da função de resposta hemodinâmica (HRF). O objetivo da introdução desse conceito é obter estimativas mais acuradas da duração da atividade neural a partir do efeito BOLD, que possui auto grau de nãolinearidade. Duas formas de estimar os parâmetros do modelo do efeito BOLD foram desenvolvidas. A validade e aplicabilidade do conceito de TPN e das rotinas de estimação foram avaliadas por simulações computacionais e análise de séries temporais experimentais. Os resultados das simulações e da aplicação foram comparados com medidas da forma da HRF. O experimento analisado consistiu em um paradigma de tomada de decisão na presença de distratores emocionais. Esperase que o TPN em áreas sensoriais primárias seja equivalente ao tempo de apresentação de estímulos. Por outro lado, o TPN em áreas relacionadas com a tomada de decisão deve ser menor que a duração dos estímulos. Além disso, o TPN deve depender da condição experimental em áreas relacionadas ao controle de distratores emocionais. Como predito, o valores estimados do TPN no giro fusiforme foram equivalentes à duração dos estímulos e o TPN no giro do cíngulo dorsal variou com a presença de distrator emocional. Observou-se ainda lateralidade do TPN no córtex pré-frontal dorsolateral. As medidas da forma da HRF obtidas por um método convencional não dectectaram as variações observadas no TPN / The extraction of information about neural activity dynamics related to the BOLD signal is a challenging task. The temporal evolution of the BOLD signal does not directly reflect the temporal characteristics of electrical activity of neurons. In this work, we introduce the concept of neural processing time (NPT) as a parameter of the biophysical model of the hemodynamic response function (HRF). Through this new concept we aim to infer more accurately the duration of neuronal response from the highly nonlinear BOLD effect. We describe two routines to estimate the parameters of the HRF model. The face validity and applicability of the concept of NPT and the estimation procedures are evaluated through simulations and analysis of experimental time series. The results of both simulation and application were compared with summary measures of HRF shape. We analysed an experiment based on a decision-making paradigm with simultaneous emotional distracters. We hypothesize that the NPT in primary sensory areas is approximately the stimulus presentation duration. On the other hand, the NPT in brain areas related to decisionmaking processes should be less than the stimulus duration. Moreover, in areas related to processing of an emotional distracter, the NPT should depend on the experimental condition. As predicted, the NPT in fusiform gyrus is close to the stimulus duration and the NPT in dorsal anterior cingulate gyrus depends on the presence of an emotional distracter. Interestingly, the estimated NPTs in the dorsolateral prefrontal cortex indicate functional laterality of this region. The analysis using standard measures of HRF did not detect the variations observed in our method (NPT)

Le problème d'estimer une fonction de plusieurs variables à partir d'une observation corrompue surgit dans de nombreux domaines d'ingénierie. Par exemple, en imagerie médicale cette tâche a attiré une attention particulière et a, même, motivé l'introduction de nouveaux concepts qui ont trouvé des applications dans de nombreux autres domaines. Cet intérêt est principalement du au fait que l'analyse des données médicales est souvent effectuée dans des conditions difficiles car on doit faire face au bruit, au faible contraste et aux transformations indésirables inhérents aux systèmes d'acquisition. D'autre part , le concept de parcimonie a eu un fort impact sur la reconstruction et la restauration d'images au cours des deux dernières décennies. La parcimonie stipule que certains signaux et images ont des représentations impliquant seulement quelques coefficients non nuls. Cela est avéré être vérifiable dans de nombreux problèmes pratiques. La thèse introduit de nouvelles constructions d'a priori de parcimonie dans le cas des ondelettes et de la variation totale. Ces constructions utilisent une notion d'anisotopie généralisée qui permet de regrouper des variables ayant des comportements similaires : ces comportement peuvent peut être liée à la régularité de la fonction, au sens physique des variables ou bien au modèle d'observation. Nous utilisons ces constructions pour l'estimation non-paramétriques de fonctions. Dans le cas des ondelettes, nous montrons l'optimalité de l'approche sur les espaces fonctionnelles habituels avant de présenter quelques exemples d’applications en débruitage de séquences d'images, de données spectrales et hyper-spectrales, écoulements incompressibles ou encore des images ultrasonores. En suite, nous modélisons un problème déconvolution de données d'imagerie par résonance magnétique fonctionnelle comme un problème de minimisation faisant apparaître un a priori de variation totale structuré en espace-temps. Nous adaptons une généralisation de l'éclatement explicite-implicite pour trouver une solution au problème de minimisation. / The problem of estimating a multivariate function from corrupted observations arises throughout many areas of engineering. For instance, in the particular field of medical signal and image processing, this task has attracted special attention and even triggered new concepts and notions that have found applications in many other fields. This interest is mainly due to the fact that the medical data analysis pipeline is often carried out in challenging conditions, since one has to deal with noise, low contrast and undesirable transformations operated by acquisition systems. On the other hand, the concept of sparsity had a tremendous impact on data reconstruction and restoration in the last two decades. Sparsity stipulates that some signals and images have representations involving only a few non-zero coefficients. The present PhD dissertation introduces new constructions of sparsity priors for wavelets and total variation. These construction harness notions of generalized anisotropy that enables grouping variables into sub-sets having similar behaviour; this behaviour can be related to the regularity of the unknown function, the physical meaning of the variables or the observation model. We use these constructions for non-parametric estimation of multivariate functions. In the case of wavelet thresholding, we show the optimality of the procedure over usual functional spaces before presenting some applications on denoising of image sequence, spectral and hyperspectral data, incompressible flows and ultrasound images. Afterwards, we study the problem of retrieving activity patterns from functional Magnetic Resonance Imaging data without incorporating priors on the timing, durations and atlas-based spatial structure of the activation. We model this challenge as a spatio-temporal deconvolution problem. We propose the corresponding variational formulation and we adapt the generalized forward-backward splitting algorithm to solve it.