Title: Changes in central reactivity during thermal stimulation monitored by electromagnetic tomography (sLORETA) Objectives: The objective of this thesis is to determine whether there are any changes in central reactivity during local thermal stimulation by heat and cold and to compare the effect of analgesic electrical stimulation by TENS (Transcutaneous Electrical Nerve Stimulation) applied after single thermal stimuli. The brain activity was scanned from the scalp EEG and the results were evaluated by using sLORETA program. Methods: Twelve young, healthy people over the age of 21 participated in this study. The requirement for the participation in this experiment was good health condition without any neurological or other diagnoses. The electrical activity of the brain was being recorded throughout the whole experiment using a 32-channel EEG cap. The measurement had multiple parts. During the whole experiment, the participants were lying on the therapeutic table and all stimuli were applied locally to the right hand. Firstly, the EEG was recorded while participants were resting with closed eyes for five minutes. Then we realized a measurement of a two-minute long application of electrical stimulation of TENS in above-threshold sensitive intensity, which was individual for each participant. The...

Title: Prolonged apnea: monitoring brain activity in freedivers Objectives: The aim of this study is to monitor the brain electrical activity during the prolonged apnea in freedivers. Prolonged apnea in the water and prolonged dry apnea were compared to each other and also to a resting state before the apnea, all states with the eyes closed. Brain activity was obtained from the scalp EEG and evaluated using the sLORETA program. Methods: The research was conducted in 11 healthy men at the age of 23 - 51. The data was obtained from the scalp EEG. The record was first taken at a resting state before the apneas with eyes closed, then at maximum prolonged dry apnea with eyes closed and finally at maximum prolonged apnea in the water with eyes closed. The lenghts of the prolonged apneas ranged from 2:15 minutes to 5:30 minutes in idividual probands. There were pauses of at least three minutes between each apnea as by the proband's needs. The compared pair groups were following: prolonged apnea in the water against prolonged dry apnea, prolonged apnea in the water against resting state before the apnea and finally prolonged dry apnea against resting state before the apnea, all with the eyes closed. Selected sections of EEG record without artefacts were processed by sLORETA program. In the statistical...

Contexte : La régulation émotionnelle est un ensemble de processus responsables du contrôle, de l’évaluation et de l’ajustement des émotions dans un objectif. Les résultats d’imagerie fonctionnelle s’accordent sur l’implication des structures frontales et limbiques tandis que les résultats en neurophysiologie, encore rares, suggèrent un rôle du rythme alpha dans l’induction émotionnelle et du rythme thêta dans la régulation. Objectifs et hypothèses : Notre objectif était d’étudier le rythme thêta et alpha pendant la réévaluation de stimuli déplaisants. Nous avons émis l’hypothèse que l’activité alpha serait modulée lors de l’induction émotionnelle seulement tandis que l’activité thêta préfrontale serait positivement corrélée à une régulation réussie. Méthode : Vingt-quatre participants sains ont été enregistrés avec 64 électrodes EEG alors qu’ils regardaient passivement ou réévaluaient des images négatives et neutres. Les rythmes thêta et alpha ont été comparés lors de l’induction émotionnelle puis dans les conditions de maintien, de diminution et d’augmentation de l’émotion, et une localisation de la source a estimé les générateurs. Résultats : Le rythme alpha était non sensible à l’induction et à la régulation. L’activité thêta était systématiquement plus élevée dans la condition de régulation à la hausse que dans la condition de maintien (p=.04) principalement au début de la régulation (1-3 sec) pour thêta bas et plus tard (5-7 sec) pour le thêta haut avec comme générateur du thêta bas le gyrus frontal moyen et le cortex cingulaire antérieur dorsal. Conclusion : Le rythme thêta était impliqué dans les processus de réévaluation à la hausse de l’émotion. / Context: Emotion regulation is a set of processes responsible for controlling, evaluating and adjusting reactions to achieve a goal. Results derived from magnetic resonance imaging agreed on the involvement of frontal and limbic structures in this process. Findings using cognition and physiology interactions are still scarce but suggest a role for alpha rhythm in emotional induction and theta in regulation. Objectives and hypotheses: Our goal was to investigate theta and alpha rhythm during the reappraisal of aversive stimuli. We hypothesized that an implication of alpha rhythm in emotional induction only and an increase in prefrontal theta rhythm positively correlated with successful regulation. Method: Twenty-four healthy participants were recorded with 64 EEG electrodes while asked to passively watch or reappraise negative pictures. Theta and alpha rhythms were compared across maintain, decrease and increase regulation conditions, and a source localization estimated the generators. Results: Theta activity was consistently higher in the upregulation than in the maintenance condition (p=.04) for the entire control period, but mainly at the beginning of regulation (1-3 sec) for low-theta and later (5-7 sec) for high-theta. Moreover, our results confirm that a low-theta generator correlated with mainly the middle frontal gyrus and the dorsal anterior cingulate cortex during upregulation. Theta was sensitive to emotion upregulation, whereas the alpha oscillation was non-sensitive to emotion induction and regulation. Conclusion: The low-theta rhythm was involved explicitly in emotion upregulation processes that occur at a definite time during reappraisal, whereas the alpha rhythm was not altered by emotion induction and regulation.

Une Interface Cerveau-Ordinateur (ICO) est un système de communication qui permet à ses utilisateurs d'envoyer des commandes à un ordinateur via leur activité cérébrale, cette activité étant mesurée, généralement par ÉlectroEncéphaloGraphie (EEG), et traitée par le système. Dans la première partie de cette thèse, dédiée au traitement et à la classification des signaux EEG, nous avons cherché à concevoir des ICOs interprétables et plus efficaces. Pour ce faire, nous avons tout d'abord proposé FuRIA, un algorithme d'extraction de caractéris- tiques utilisant les solutions inverses. Nous avons également proposé et étudié l'utilisation des Systèmes d'Inférences Flous (SIF) pour la classification. Nos évaluations ont montré que FuRIA et les SIF pouvaient obtenir de très bonnes performances de classification. De plus, nous avons proposé une méthode utilisant ces deux algorithmes afin de concevoir une ICO complétement interprétable. Enfin, nous avons proposé de considérer la conception d'ICOs asynchrones comme un problème de rejet de motifs. Notre étude a introduit de nouvelles techniques et a permis d'identifier les classifieurs et les techniques de rejet les plus appropriés pour ce problème. Dans la deuxième partie de cette thèse, nous avons cherché à concevoir des applications de Réalité Virtuelle (RV) controlées par une ICO. Nous avons tout d'abord étudié les performances et les préférences de participants qui interagissaient avec une application ludique de RV à l'aide d'une ICO asynchrone. Nos résultats ont mis en évidence le besoin d'utiliser des ICO adaptées à l'utilisateur ainsi que l'importance du retour visuel. Enfin, nous avons développé une application de RV permettant à un utilisateur d'explorer un musée virtuel par la pensée. Dans ce but, nous avons conçu une ICO asynchrone et proposé une nouvelle technique d'interaction permettant à l'utilisateur d'envoyer des commandes de haut niveau. Une première évaluation semble montrer que l'utilisateur peut explorer le musée plus rapidement avec cette technique qu'avec les techniques actuelles.

Title of thesis: Source analysis and comparation of Feldenkrais inspired movement and visual stimulation using sLORETA Objectives: The thesis aim is to evaluate intracerebral source activity during a simple arm movement inspired by Feldenkrais method and to compare it with a visual stimulation of the same movement presented in a clip and with an imagination of the same movement. The movement inspired by Feldenkrais method was simplified to a repeated flexion of the dominant arm. Source analysis was evaluated from EEG and processed using sLORETA program, Methods: To obtain the data, experimental group was put together containing 12 participants aged 22-60, (mean = 27.2), both genders included. Participants were subjected to one-off measurement by the EEG instrument. Feldenkrais inspired movement of a flexion of a dominant upper right arm was investigated. The experiment constisted of six parts: 1. native EEG record with eyes closed and open, 2. active flexion of the dominant upper arm with eyes closed, 3. active flexion of the dominant upper arm with eyes opened, 4. watching video presenting repeated upper arm flexion, 5. dominant upper arm flexion imagination with eyes closed. Every part lasted for two minutes. Between individuals parts was inserted a pause. Obtained EEG data were processed with...

Title: Cerebral projection of haptic contact via sLORETA imaging Objectives: The aim of this work is to evaluate changes in intracerebral source activity via sLORETA imaging during haptic stimulation of hands, while this contact is modified by a mirror illusion in comparison to calm state with open eyes. The work seeks to specify localization of such activity. Methods: Ten healthy volunteers aged 23-42 participated in the experiment. The electrical brain activity was detected with scalp EEG. The experiment was divided in 5 phases. First we measured the brain activity during calm state with open and with closed eyes, each for 5 minutes. Afterwards the subjects were seated at a table with a mirror occluding their right hand and reflecting their left hand. The brain activity was than recorded during 4 modifications of the experiment in duration of 2 minutes each. The first modification contained symmetrical haptic contact on both hands, modification 2 involved stimulation on the left hand only, during modification 3 the stimulus was applied on the right hand only and modification 4 had no tactile stimulus on neither side. The order of modifications for each individual was randomized. The EEG data were converted into sLORETA program, which allows to localize the source of the recorded brain activity...

Le syndrome de Gilles de la Tourette (SGT), le trouble obsessionnel compulsif (TOC) et les comportements répétitifs centrés sur le corps (CRCC) sont trois troubles qui présentent de nombreuses similarités, autant d’ordre phénoménologique que neuroanatomique et fonctionnel. Toutefois, malgré une recension des écrits pointant vers un possible spectre incluant ces trois troubles, les études qui ont contrasté ceux-ci se font peu nombreuses. Étudier les processus cognitifs affectés dans chacune de ces conditions cliniques permettrait alors d’offrir une meilleure compréhension des différences et des similarités entre celles-ci. D’ailleurs, l’utilisation des potentiels évoqués comme technique d’imagerie cérébrale offre l’avantage de mesurer l’activité cérébrale avec une excellente résolution temporelle. Les composantes de potentiels évoqués permettent alors de refléter certains processus cognitifs, notamment les processus attentionnels et mnésiques, qui sont connus comme étant potentiellement affectés dans ces trois troubles. Notre objectif était donc de comparer l’amplitude de trois composantes (P200, N200 et P300) entre des groupes de participants atteints du SGT (n=24), du TOC (n=18) et des CRCC (n=16), qui ont tous été appariés à un groupe contrôle (n=59) dans une tâche de oddball visuelle cognitive. Nos résultats n’ont d’abord montré aucune différence intergroupe pour la P200 et la N200 lorsqu’on contrôle pour les symptômes anxio-dépressifs, ce qui laisse présager que les processus cognitifs reflétés par ces composantes sont intacts dans ces populations cliniques. En ce qui a trait à la composante P300, nos résultats ont montré une diminution de l’effet oddball P300 pour les groupes SGT et TOC comparativement au groupe contrôle, alors qu’un effet oddball intact a été observé pour le groupe CRCC. Les analyses de localisation de sources ont révélé des activations dans le gyrus lingual et le gyrus occipital moyen pour le groupe TOC, ce qui le distingue des deux autres groupes cliniques et du groupe contrôle. En effet, ceux-ci ont plutôt montré des activations dans le cortex cingulaire pour la génération de cet effet oddball. Ainsi, il semblerait que les groupes SGT et TOC présentent des déficits dans la mémoire de travail, tels que dégagés par les altérations de la composante P300, mais que des régions cérébrales différentes soient impliquées dans la génération de ces activations anormales. / Tourette Syndrome (TS), Obsessive-Compulsive Disorder (OCD) and Body-Focused Repetitive Behaviors (BFRB) are three disorders that share many similarities in terms of phenomenology, neuroanatomy and functionality. However, despite a literature review pointing towards a possible spectrum including these three disorders, only a few studies compared them in the same context. Studying the cognitive processes affected by these clinical conditions would provide a better understanding of their differences and similarities. Moreover, using EventRelated Potentials (ERP) as a brain imaging technique offers the advantage of measuring brain activity with excellent temporal resolution. The ERP components can then reflect specific cognitive processes, notably attentional and memory processes, which are known to be potentially affected in these three disorders. Our aim was, therefore, to compare the amplitude of three ERP components (P200, N200, and P300) across groups of participants with TS (n=24), OCD (n=18), and BFRB (n=16), all of whom were matched to a control group (n=59), in a cognitive visual oddball task. Our results initially showed no group differences for the P200 and N200 when controlling for anxiety and depressive symptoms, suggesting that the cognitive processes reflected by these components are intact in these clinical populations. Concerning the P300 component, our results showed a decrease in the P300 oddball effect for the SGT and OCD groups compared to the control group, whereas an intact oddball effect was observed for the BFRB group. Furthermore, source localization analyses revealed activations in the lingual and middle occipital gyrus for the OCD group, distinguishing it from the other two clinical groups and the control group. Indeed, these groups showed activations in the cingulate cortex to generate this oddball effect. Thus, it seems that the TS and OCD groups show deficits in working memory, as revealed by alterations in the P300 component, but those different brain regions are involved in generating these distinct activations.

La tomografía de impedancia eléctrica (EIT) permite estimar la conductividad eléctrica interna de un cuerpo. Consiste en aplicar una corriente eléctrica sobre su frontera y medir el potencial eléctrico resultante mediante un arreglo de sensores. Es considerada como una potencial herramienta de diagnóstico médico, caracterizada principalmente por su portabilidad y relativo bajo costo. Si bien se encuentra aún en etapa de desarrollo, está comenzando a ser utilizada en centros de salud para la caracterización del aparato cardio-respiratorio y existe un creciente interés en su aplicación a las neurociencias. Por ejemplo, es posible utilizar la EIT para construir modelos virtuales de la cabeza más precisos mediante la estimación de la conductividad eléctrica de los principales tejidos de la cabeza como un conjunto de parámetros relativamente pequeño, modalidad denominada EIT paramétrico. También se puede utilizar la EIT para generar un mapa de la distribución de conductividad eléctrica interna de un objeto, llamado problema de reconstrucción en EIT. Los cambios de la conductividad eléctrica en la cabeza pueden estar asociados a la actividad neuronal, a focos epilépticos, a accidentes cerebro-vasculares o a tumores. Ambas modalidades de EIT requieren la resolución del problema directo (PD), que consiste en el cálculo de la distribución de potencial eléctrico en el objeto originada por la inyección de corriente sobre su superficie, suponiendo que la conductividad interna es conocida. La estimulación de corriente continua transcraneal (tDCS) es físicamente muy similar a la EIT, pero la corriente eléctrica es aplicada sobre el cuero cabelludo de modo de alterar la tasa de disparos de poblaciones de neuronas en una región de interés. Es una potencial alternativa al empleo de psicofármacos para tratar desórdenes como epilepsia o depresiones. En esta tesis se desarrollan y analizan nuevos métodos para distintos problemas de EIT, centrándose mayormente en aplicaciones a la cabeza humana, y de tDCS. En primer lugar, se describen soluciones analíticas y numéricas para el PD en EIT, estas últimas basadas en el método de los elementos finitos. Luego, se desarrolla un nuevo procedimiento para resolver el PD con bajo costo computacional basado en la formulación del PD en electroencefalografía (EEG). Se propone un nuevo método para determinar la forma de onda de la fuente de corriente que permite desafectar la actividad propia del cerebro con un bajo número de muestras temporales. En EIT paramétrico, se utiliza la cota de Cramér-Rao (CRB) para determinar pares de electrodos convenientes para la inyección de corriente y para analizar límites teóricos en la estimación de las conductividades del cráneo y del cuero cabelludo, modelizándolos como tejidos isótropos y anisótropos. A su vez, se propone el estimador de máxima verosimilitud (MLE) como herramienta para realizar las estimaciones. El MLE se aplica a mediciones simuladas y reales de EIT mostrando un desempeño muy cercano a los límites teóricos. Para el problema de reconstrucción en EIT se adapta el algoritmo sLORETA, muy utilizado en el problema de localización de fuentes de actividad neuronal en EEG. Además, se lo modifica levemente para incorporar la regularización espacial de Laplace. Por otro lado, se introduce la utilización de filtros espaciales adaptivos para localizar cambios de conductividad de pequeño tamaño y estimar su variación temporal. Los resultados muestran mejoras en sesgo y resolución, en comparación con algoritmos de reconstrucción típicos en EIT. Estas mejoras son potencialmente ventajosas en la detección de accidentes cerebro-vasculares y en la localización indirecta de fuentes de actividad neuronal. En tDCS, se desarrolla un nuevo algoritmo para la determinación de patrones de inyección de corriente basado en el principio de reciprocidad y que considera restricciones de seguridad y de hardware. Los resultados obtenidos a partir de simulaciones muestran que el desempeño de dicho algoritmo es comparable al desempeño de algoritmos de optimización tradicionales cuyas soluciones implicarían un equipamiento comparativamente más complejo y costoso. Los métodos desarrollados en la tesis son comparados con métodos pre-existentes y validados a través de simulaciones numéricas por computadora, mediciones sobre maquetas experimentales (ó fantomas) y, de acuerdo con las posibilidades experimentales y respetando los principios de la bioética, mediciones reales sobre humanos. / Electrical impedance tomography (EIT) is a technique to estimate the electrical conductivity of an object. It consists in the application of an electric current on its boundary and the measurement of the resulting electric potential with a sensor array. In clinical practise, it is considered as a potential diagnostic tool characterized by its portability and relatively low cost. While it is still in a development stage, it is starting to be used in health centers to characterize the cardio-respiratory system. In turn, there is an increasing interest of EIT in neuroscience. For example, EIT can be used to estimate the electrical conductivity of the main tissues of the head as a set of a relatively low number of parameters, which is known as bounded or parametric EIT. This is useful for several medical imaging techniques that require realistic and accurate virtual models of the head. EIT can also be used to generate a map of the internal distribution of the electrical conductivity, known as the reconstruction problem. Tracking conductivity changes inside the head is of great interest as they may be related to neuronal activity, epileptic foci, acute stroke, or tumors. Both modalities of EIT require the solution of the EIT forward problem (FP), i.e., the computation of the electric potential distribution due to current injection on the scalp assuming that the electrical conductivity is known. The transcranial direct current stimulation (tDCS) is another technique which is physically very similar to EIT. It consists in injecting a small electric current in a convenient way such that it stimulates specific neuronal populations, increasing or decreasing their firing rate. It is considered as an alternative to psychoactive drugs in the treatment of brain disorders such as epilepsy or depression. This thesis describes the development and analysis of new methods for EIT FP, parametric EIT, reconstruction in EIT, and tDCS, focusing primarily (although not exclusively) in applications to human head. We first describe analytical and numerical approaches for the EIT FP, where the numerical approach is based on the finite element method. Then, we develop a new procedure to solve the EIT FP based on the electroencephalography (EEG) FP formulation, which results in computational advantages. We propose a new method to determine the waveform of the electric current source such that the neuronal activity of the brain can be neglected with the smallest possible number of time samples. In parametric EIT, we use the Cramér-Rao bound (CRB) to determine convenient electrode pairs for the current injection and theoretical limits in the estimation of the electrical conductivity of the main tissues of the head, which we model as isotropic and anisotropic. We propose the maximum likelihood estimator (MLE) to estimate these conductivities and we test it with simulated and real EIT measurements, showing that the MLE performs close to the CRB. We adapt the sLORETA algorithm to the reconstruction problem in EIT. This algorithm is being widely used in the source localization problem in EEG. We also slightly modify it to include the Laplace smoothing prior in the solution. Likewise, we introduce the use of adaptive spatial filters in the localization of conductivity changes and the estimation of its time courses from EIT measurements. The results show improvements over typical EIT algorithms. These improvements may benefit the early detection of acute strokes and the localization of neuronal activity using EIT. In tDCS, we develop a new algorithm to determine convenient current injection patterns. It is based on the reciprocity principle and considers hardware and safety constraints. Our simulation results show that this method performs similarly to other commonly used algorithms that require more complex and costly equipments. The methods we develop and study in this thesis are compared with pre-existing methods and are validated through numerical simulations, measurements on phantoms and, according to the experimental possibilities and bioethical principles, humans.