O mapeamento das respostas BOLD (Blood Oxygenation Level Dependent) constitui etapa importante nos experimentos de imagem funcional por ressonância magnética (Functional Magnetic Resonance Imaging fMRI) e de EEG-fMRI simultâneo. Em sua grande maioria, a análise de dados de fMRI e de EEG-fMRI está baseada no modelo linear geral (General Linear Model GLM), que procura localizar as respostas BOLD por meio de modelos definidos a priori. Porém, em muitos casos, como em pacientes, variações na forma e/ou atraso podem reduzir a confiabilidade dos resultados. Desse modo, o primeiro objetivo deste trabalho foi explorar métodos clássicos e propor novos métodos para análise de dados de fMRI e de EEG-fMRI simultâneo. Neste trabalho, um método modificado baseado na distância de Kullback-Leibler generalizada (dKLg) foi desenvolvido. Diferentemente do GLM, essa abordagem não requer um modelo para a resposta. Dados simulados foram utilizados para otimizá-lo e compará-lo ao GLM sob diferentes condições de resposta como a relação sinal ruído e a latência. Em seguida, o dKLg foi testado em dados reais, adquiridos em 14 voluntários assintomáticos, submetidos a tarefas motoras e auditivas padrões. Os resultados mostram a equivalência entre o dKLg e o GLM. Em seguida, essa estratégia foi testada em 02 pacientes com com estenose carotídea unilateral. Neste caso, o dKLg foi capaz de detectar regiões significativas ipsilaterais à estenose, não detectadas pelo GLM, em virtude do atraso do sinal BOLD. Em seguida, esses métodos foram aplicados sobre exames de EEG-fMRI realizados em 45 pacientes com epilepsia. Para esse conjunto de dados, mais uma abordagem foi elaborada, que utiliza a Análise de Componentes Independentes (Independent Component Analysis ICA). Denominado ICA-GLM, ele permite extrair de modo semi-automático a amplitude, duração e topografia das descargas epileptiformes interictais (Interictal Epileptiform Discharges IED), favorecendo a inclusão de sinais do EEG de menor destaque. Além dessa vantagem, ele ainda permite incluir modelos do sinal BOLD com diferentes latências, aumentando a abrangência da variabilidade das respostas encontradas em pacientes com epilepsia. A eficiência do ICA-GLM também foi comparado à do GLM e dKLg nos exames de EEG-fMRI. Embora os resultados tenham demonstrado a robustez do GLM, em alguns pacientes o dKLg foi mais eficiente para localizar regiões concordantes que não foram detectadas pelo GLM. Ainda, em boa parte dos casos o ICA-GLM detectou regiões mais extensas e com maior valor estatístico, quando comparado ao GLM. De forma geral, nota-se que o dKLg e ICA-GLM podem ser ferramentas complementares importantes ao GLM, aumentando a sensibilidade dos exames de EEG-fMRI como um todo. Outra etapa importante nas avaliações de EEG-fMRI em pacientes com epilepsia tem sido a utilização de imagens de fontes elétricas (Electrical Source Imaging ESI). Neste trabalho, os mapas de ESI foram obtidos por dois métodos de solução inversa distribuída nunca usados no cenários da EEG-fMRI: Bayesian Model Averaging (BMA) e constrained Low Resolution Electromagnetic Tomography (cLORETA). Além da construção dos mapas de ESI, avaliamos a utilidade de combinar as técnicas de ESI e de EEG-fMRI para promover a diferenciação entre fontes primárias e de propagação temporal. Essa análise permitiu avaliar a concordância entre as regiões detectadas pelo ESI e EEG-fMRI e diferenciar as respostas BOLD relacionadas aos componentes iniciais e posteriores da IED. Embora os resultados ainda sejam preliminares para eleger qual método seria mais eficiente (cLORETA ou BMA), a distância encontrada entre o máximo ESI e o cluster de EEG-fMRI mais próximo foi consistentemente similar, em ambos, com os dados recentes da literatura. / Functional magnetic resonance imaging (fMRI) and combined EEG-fMRI usually rely on the successful detection of Blood Oxygenation Level Dependent (BOLD) signal. Typically, the analysis of both fMRI and EEG-fMRI are based on the General Linear Model (GLM) that aims at localizing the BOLD responses associated to an a priori model. However, the responses are not always canonical, as is the case of those from patients, which may reduce the reliability of the results. Therefore, the first objective of the present study was to explore the usage of classical methods, such as the GLM, and to propose alternative strategies to the analysis of fMRI and combined EEG-fMRI. A first method developed was based on the computation of the generalized Kullback-Leibler distance (gKLd), which does not require the use of an a priori model. Simulated data was used to allow quantitative comparison between the gKLd and GLM under different response conditions such as the signal to noise ratio and delay. The gKLd was then tested on real data, first from 14 asymptomatic subjects, submitted to classical motor and auditory fMRI protocols. The results demonstrate that under these conditions the GLM and gKLd are equivalent. The same strategy was applied to 02 patients with unilateral carotid stenosis. Now the dKLg was capable of detecting the expected bilateral BOLD responses that were not detected by the GLM, as a consequence of the response delay imposed by the stenosis. Those comparisons were now extended to the evaluation of EEG-fMRI exams from 45 patients with epilepsy. For this data set, an additional method was used, based on the use of Independent Component Analysis (ICA), which was called ICA-GLM. It allows extracting semi-automatically the amplitude, duration and topography of EEG interictal Epileptiform Discharges (IED), favoring the use of less prominent signals. Moreover, it also allows the use of BOLD response models with different delays, expanding the variability of the responses to be detected in patients with epilepsy. ICA-GLM was also compared to GLM and dKLg in these EEG-fMRI evaluations. Although in general the results have demonstrated the robustness of the GLM, dKLg was more efficient in detecting the responses from some pacients, while the ICA-GLM mostly detected broader regions with more significant results when compared to GLM. In general, dKLg and ICA-GLM seem to offer an important complementary aspect to the GLM, increasing its sensibility in EEG-fMRI as a whole. Another important aspect of EEG-fMRI applied to patients with epilepsy has been the inspection of Electrical Source Imaging (ESI) to evaluate some dynamical aspects of the IED. Herein, ESI maps were obtained from two inverse distributed solutions that were not applied so far to EEG-fMRI: Bayesian Model Averaging (BMA) and constrained Low Resolution Electromagnetic Tomography (cLORETA). Besides, we also evaluated the combined information from ESI and EEG-fMRI in order to differentiate from primary sources to temporal propagation of the signal. Such analysis allowed us to inspect for the correspondence between regions detected by ESI e EEG-fMRI and to separate BOLD signals whose sources are related to the initial and later components of the IED. Although the results are preliminary to determine which ESI method (cLORETA or BMA) is more efficient, the distance between the maximum ESI and the closest EEG-fMRI cluster was consistently similar with those reported in the literature.

O estudo dos sintomas neuropsiquiátricos em Doença de Alzheimer (DA) através do agrupamento destes em síndromes tem sido cada vez mais utilizado, uma vez que permitiria detectar diferenças em sua prevalência, em sua evolução, em relação a determinantes psicossociais e a correlatos neurobiológicos. O objetivo deste estudo foi identificar regiões de redução de substância cinzenta em áreas corticais associadas com sintomas e síndromes neuropsiquiátricos específicos, provenientes da Escala Inventário Neuropsiquiátricos (NPI), em pacientes com DA e comprometimento cognitivo sem demência (CIND). O método de morfometria baseada no voxel (VBM) com DARTEL (Diffeomorphic Anatomical Registration Using Exponentiated Lie Algebra) foi utilizado para verificar a correlação entre presença de sintomas e síndromes neuropsiquiátricos específicos e redução regional de volume de substância cinzenta em análise em todo cérebro e em regiões previstas a priori. As síndromes utilizadas foram SN1/Agitação (agitação, alterações de sono e apetite), SN2/Hiperatividade (desinibição, comportamento motor aberrante e irritabilidade), SN3/Afetiva (depressão e apatia) e SN4/Psicose (delírios e alucinações). A presença de delírios foi associada a volume de substância cinzenta reduzido em giro frontal inferior direito (BA45); depressão com xvii redução de substância cinzenta em giro temporal médio e inferior direito (BA 37/22) e giro frontal inferior (BA09-DLPFC) e giro parahipocampal esquerdos; ansiedade com redução em giro frontal médio esquerdo (BA10); e alterações de apetite com redução em córtex anterior cingulado esquerdo (BA32) em pacientes com DA. A presença de SN1/Agitação foi associada a volume de substância cinzenta reduzido em giro frontal médio direito (BA09-DLPFC); SN2/Hiperatividade com redução em giro temporal superior direito (BA22) e frontal inferior bilateral (BA47); e SN4/Psicose com redução em giro pré-central (BA44), temporal superior (BA22) e ínsula direitos em DA. No grupo CIND, somente SN1/Agitação evidenciou associação com redução de substância cinzenta regional. Atrofia de áreas corticais específicas parecem relacionadas aos sintomas e síndromes neuropsiquiátricos em DA. Síndromes neuropsiquiátricas em DA mostraram-se correlacionadas à atrofia de estruturas centrais de alguns circuitos neuronais envolvidos na fisiopatologia de transtornos psiquiátricos / The study of neuropsychiatric symptoms in patients with Alzheimer\'s disease (AD) by grouping these symptoms into syndromes has been increasingly used because it would detect differences in its prevalence and evolution, in relation to psychosocial determinants and neurobiological correlates. The aim of this study was to identify regions of reduced gray matter in cortical areas associated with specific neuropsychiatric symptoms and syndromes from the Neuropsychiatric Inventory (NPI) in patients with AD and cognitive impairment, no dementia (CIND). Voxel-based morphometry (VBM) plus Dartel (Diffeomorphic Anatomical Registration Exponentiated Using Lie Algebra) was used to verify the correlation between the presence of specific neuropsychiatric symptoms and syndromes and regional gray matter volume reduction throughout the brain and in regions predicted a priori. The syndromes were NS1/ Agitation (agitation, sleep and eating disorders), NS2/Hyperactivity (disinhibition, aberrant motor behavior and irritability), NS3/Affective (depression and apathy) and NS4/Psychosis (delusions and hallucinations). The presence of delusions was associated with gray matter volume reduction in right inferior frontal gyrus (BA45), depression with reduced gray matter in right inferior middle temporal gyrus (BA 37/22) and left inferior frontal gyrus (BA09-DLPFC) and left parahippocampal gyrus; anxiety with reduction in left middle frontal gyrus (BA10), and eating disorders with reduction in left anterior cingulate cortex (BA32) in patients with AD. The presence of NS1/Agitation was associated with gray matter volume reduction in the right middle frontal gyrus (BA09-DLPFC); NS2/ Hyperactivity with reduction in right superior temporal gyrus (BA22) and bilateral inferior frontal (BA47) and NS4/Psychosis with a reduction in right precentral gyrus (BA44), right superior temporal (BA22) and in right insula in AD. In the CIND group, only SN1/Agitation showed association with regional gray matter reduction. Atrophies of specific cortical areas were showed to be related to symptoms and neuropsychiatric syndromes in patients with AD

INTRODUÇÃO: As bases neurofisiológicas do declínio cognitivo associado ao envelhecimento normal ainda não são adequadamente conhecidas. Estudos sobre conectividade funcional cerebral estimada através de imagens por ressonância magnética funcional durante o repouso têm identificado diminuições de conectividade dentro da rede de modo padrão (default mode network) em idosos e correlações entre desempenho cognitivo e conectividade funcional. Há evidências de que idosos apresentam maior dificuldade em recuperar informações episódicas de eventos autobiográficos mas não existem investigações sobre a relação entre tal função cognitiva e conectividade de repouso. Além disso, estudos desta área geralmente não têm utilizado entrevista psiquiátrica para seleção da amostra, apesar de transtornos psiquiátricos apresentarem alta prevalência, serem subdiagnosticados e afetarem o funcionamento cerebral. OBJETIVOS: caracterizar as mudanças de conectividade funcional de repouso associadas a idade e a desempenho cognitivo, em especial à função de memória autobiográfica, em uma amostra de adultos de diferentes idades e livres de deficiências cognitivas e de transtornos psiquiátricos. MÉTODOS: adultos jovens, de meia idade e idosos sem transtornos cognitivos ou psiquiátricos foram selecionados através de avaliação neuropsicológica e entrevista psiquiátrica estruturada. Quantificamos o desempenho em recuperar informações episódicas de eventos autobiográficos. Conectividade funcional cerebral foi estimada a partir de imagens de ressonância magnética funcional adquiridas durante o repouso vigil, utilizando um atlas de 278 regiões englobando todo o cérebro. As relações entre conectividade e idade e conectividade e desempenho cognitivo foram avaliadas através do método dos quadrados parciais mínimos. RESULTADOS: em uma amostra de 59 adultos (19 jovens, 20 de meia idade e 20 idosos), idade apresentou correlação negativa com desempenho cognitivo geral, mas sua relação com memória autobiográfica não foi significativa. Caracterizamos um padrão de conectividade associado ao envelhecimento caracterizado por aumento difuso de magnitude de correlações positivas entre diferentes circuitarias, diminuições de magnitude de anticorrelação envolvendo principalmente as conexões entre a rede de modo padrão e as redes atencionais e uma perda de correlações positivas intra-circuitarias, especialmente dentro do sistema visual e da rede de modo padrão. Não identificamos um padrão de conectividade associado a desempenho cognitivo geral ou autobiográfico. DISCUSSÃO: idade mostrou-se negativamente correlacionada com desempenho cognitivo geral. Os resultados sugerem que o efeito do envelhecimento sobre memória autobiográfica seja de menor tamanho e/ou sujeito a maiores variações entre estudos. O padrão de mudanças de conectividade associado ao envelhecimento que encontramos inclui os achados mais comumente descritos na literatura (diminuições de conectividade intra-circuitaria) mas também abrange mudanças funcionais mais amplas (aumentos difusos de correlação positiva e ! ! xii perdas de anticorrelação). Estes achados estão em linha com a hipótese de que o cérebro sofre um processo de desdiferenciação durante o envelhecimento no qual há perda de diversidade funcional. CONCLUSÃO: Na presente amostra não identificamos relação entre desempenho em memória autobiográfica e idade. Envelhecimento normal, inclusive em voluntários sem transtornos mentais, está associado a um aumento difuso de correlações positivas entre diferentes circuitarias, a perdas focais de anticorrelação, especialmente entre a rede de modo padrão e as redes atencionais e a uma redução de conectividade dentro da rede de modo padrão e da rede visual / INTRODUCTION: The neurophysiological basis of the cognitive decline associated with aging is not yet known. Brain functional connectivity studies using functional magnetic resonance images acquired during rest have shown that aging is associated with decreases in connectivity within the default mode network. Moreover, cognitive performance has been associated with resting functional connectivity. There is evidence that older adults present worse performance during retrieval of episodic information from autobiographical events but there is no investigation regarding the relationship between functional connectivity at rest and this cognitive function. Moreover, studies in this field have not applied a structured psychiatric interview to select the sample, although it is known that psychiatric disorders present high prevalence, are underdiagnosed and are associated with functional abnormalities. OBJECTIVES: to characterize changes in resting-state functional connectivity associated with age and cognitive performance, especially with autobiographical memory, in adults from different ages, free of cognitive deficits and psychiatric disorders. METHODS: using a neuropsychological evaluation and a structured psychiatric interview we selected a sample of young, middle aged and elderly adults free of cognitive and psychiatric disorders. We measured the performance to recover episodic information from autobiographical events. Brain functional connectivity was estimated from resting-state functional magnetic resonance images acquired during rest, using a whole-brain 278-region atlas. We used partial least squares to characterize the relationships between connectivity and age and connectivity and cognitive performance. RESULTS: in a sample of 59 adults (19 young, 20 middle aged and 20 elderly), age was negatively correlated with general cognitive performance but its relationship with autobiographical memory was not statistically significant. The pattern of connectivity changes associated with aging was characterized by a diffuse increase in the magnitude of positive correlations between different networks, decreases in magnitude of anticorrelations (especially between the default mode network and the attentional networks) and a loss of within-network positive correlations (mainly within the visual system and the default mode network). We did not find a pattern of connectivity associated with general cognitive performance or with autobiographical memory. DISCUSSION: age was negatively correlated with general cognitive performance. The results suggest that the effect of age on autobiographical memory is smaller and/or present greater between-study variability. The age-related pattern of changes in connectivity found in this study includes the most commonly reported findings in the literature (decreases in withinnetwork connectivity) but it also contains broader functional changes (diffuse increases in positive correlations and losses of anticorrelations). These findings are in accordance with the hypothesis that the brain undergoes dedifferentiation processes during aging with loss of functional diversity. CONCLUSION: in our sample, we could not identify a significant relationship between age and autobiographical memory. Normal aging, even in individuals with no mental disorder, is associated with an increase in positive correlations between different brain networks, focal losses of anticorrelations (especially between the default mode network and the attentional networks) and reductions in connectivity within the default mode network and the visual system

INTRODUÇÃO: Sabe-se que a doença periodontal é a doença infecciosa crônica mais prevalente na população adulta, acometendo 1/5 da população em fase ativa de trabalho e causadora de dor. As citocinas e demais substâncias moduladoras da inflamação que promovem e perpetuam a doença periodontal interagem e agravam outras doenças como o diabetes mellitus, aterosclerose e doenças autoimunes. O periodonto, com suas aferências proprioceptivas especializadas, desempenha importante papel de regulação dos movimentos da mastigação. Apesar da região orofacial ter uma ampla área de representação no córtex cerebral não se sabem os efeitos de uma inflamação crônica periodontal nesta representação. Ansiedade e estresse são conhecidos fatores correlacionados à doença periodontal e moduladores de condições dolorosas. Assim, são objetivos deste estudo a avaliação da sensibilidade mecânica em vibrissas, avaliação da ansiedade e o mapeamento do córtex motor de ratos com doença periodontal de 14 e 28 dias de evolução. MÉTODOS: Foram utilizados ratos Wistar machos pesando inicialmente entre 140 e 180 gramas, divididos em 3 grupos principais: grupo controle, grupo sham e grupo de estudo, em que a doença periodontal foi induzida por amarria no primeiro molar inferior direito. Os animais foram avaliados com 14 e 28 dias de doença, sendo a sensibilidade mecânica aferida por filamentos de Von Frey e a ansiedade avaliada por meio do labirinto em cruz elevado. O mapeamento do córtex motor foi realizado por estimulação elétrica epidural de um a dez volts. RESULTADOS: Ambos os períodos de evolução da doença causaram alterações condizentes com doença periodontal. Não houve diferenças no ganho de peso dos animais independente do grupo ao longo do estudo. Nos animais com 28 dias de doença houve maior nocicepção no lado doente com diferença estatística (p=0,042). Os animais do grupo de estudo 14 dias demonstraram mais comportamentos sugestivos de ansiedade nos parâmetros de congelamento (p=0,031), entradas nas extremidades dos braços abertos (p=0,048) e esticamento nos braços abertos (p=0,047) do labirinto em cruz elevado do que os grupos sham e controle. Os animais do grupo de estudo de 28 dias apresentaram maior comportamento de dor e medo observado através da presença do congelamento (p=0,016). O mapeamento do córtex motor evidenciou áreas representativas da mandíbula sobrepostas à área das vibrissas. Foi observada uma expansão da área da mandíbula no grupo da doença periodontal de 14 dias (p=0,038). CONCLUSÃO: A doença periodontal com 14 dias de evolução causou um aumento da resposta motora ipsilateral da mandíbula-mais-vibrissas e alterações de comportamento sugestivas de ansiedade / BACKGROUND: Periodontal disease is the most prevalent chronical infectious disease in adults, affecting 1/5 of people in active phase of labor and causing pain. Cytokines and substances that modulate inflammation promotes and perpetuate de periodontal disease, interacting and worsening other conditions such as diabetes mellitus, aterosclerosis and autoimmune diseases. The periodontium has specialized proprioceptive afferents and plays a role in the regulation of masticatory movements. Despite the wide brain cortical representation area of the orofacial structures, the periodontium has not been described in the literature and the effects of a chronical inflammation in its representation has not been clarified. Anxiety and stress are factors correlated to periodontal disease and modulators of pain. The aim of this study was evaluate vibrissae nociception through mechanical response, anxiety and the motor cortex mapping in rats with periodontal disease after 14 or 28 days of evolution. METHODS: Male Wistar rats (initial weight 140-180 grams) divided into 3 main groups: controls, sham and periodontal disease induced by placement of a cotton ligature in the mandibular right first molar tooth. The evaluations took place after 14 or 28 days of disease. Mechanical response was evaluated by von Frey filaments and anxiety was evaluated through the elevated plus maze. Epidural electrical stimulation (1 to 10 volts) was the method used for the cortical motor mapping. RESULTS: Both evolution periods caused clinical outcomes consistent to periodontal disease. There was no difference in the weight gain of the animals, whatever the group during the study. The animals with 28 days appeared to have a higher nociception in the side affected, with statistical difference (p=0.042). Animals with the disease evolution through 14 days showed more anxious behavior seen by freezing (p=0.031), entries in the extremities of open arms (p=0.048) and stretching in open arms (p=0.047) than the sham and control groups, in the elevated plus maze test. The 28 day disease evolution group showed more pain and fear behavior, seen by freezing (p=0.016). The cortical motor mapping showed an overlapping of jaw and vibrissae areas. There was an expansion of the mandibular area in the 14-day disease group (p=0.038). CONCLUSION: at 14-days, PD led to an expansion of the mandibular-plus-vibrissae motor cortical representation ipsilateral to the disease and behaviors suggestive of anxiety

Le vieillissement cérébral normal est caractérisé par un déclin progressif de la capacité de traitement des informations en particulier dans le système de la mémoire de travail. Il apparaît donc essentiel d'explorer l'organisation corticale cérébrale sous-jacente au mécanisme de la mémoire de travail dont l'évaluation est rendu possible par l'imagerie par résonance magnétique fonctionnelle (IRMf). Les objectifs de notre travail ont consisté à identifier, dans une large cohorte d'individus âgés en bonne santé, les réorganisations des réseaux neuronaux en relation avec (i) l'augmentation de la difficulté d'une tâche de mémoire de travail, (ii) l'âge des individus au cours de la tâche et (iii) la performance de la tâche pendant un état de repos. Trois cent quatre-vingt participants âgés (82 ans, 56% femmes) issus de la cohorte des Trois Cités de Montpellier ont été sélectionnés pour réaliser un examen d'IRMf comprenant une tâche de DIR (reconnaissance d'item en élément différé) et un état de repos. La tâche de DIR s'organisait en trois phases : (i) présentation – une, trois ou six lettres – (ii) rétention – écran blanc – et (iii) réponse – après la présentation d'une lettre cible, le participant indique si cette lettre cible faisait partie ou non de l'ensemble de départ. Dans une première partie, après avoir localisé les régions activées lors des trois phases de la tâche, nos analyses de covariance ont pu identifier, simultanément à la difficulté croissante de la tâche, une augmentation de l'activation dans les réseaux du central exécutif et de saillance pendant les trois phases de la tâche ainsi qu'une diminution dans le réseau du mode par défaut pendant la phase de stimulation et dans les régions limbiques et des ganglions de la base pendant la phase de rétention. Ces résultats suggèrent une interaction entre les réseaux d'augmentation et de diminution. Dans une deuxième partie, nous avons exploré l'effet de l'âge sur l'augmentation de l'activité simultanément avec la difficulté croissante de la tâche. Pendant la phase de stimulation, une réduction de l'activation dans le lobule pariétal gauche a été identifiée chez les individus très âgés par rapport aux individus âgés jeunes suggérant la mise en jeu d'un décalage antéro-postérieur lorsque l'âge augmente. Dans une troisième partie, les réseaux impliqués dans la mémoire de travail (central exécutif, saillance et mode par défaut) ont été mis en évidence pendant l'état de repos. Notre travail a montré que la connectivité fonctionnelle et la performance sont corrélées par : (i) une réduction au sein des réseaux de saillance et du mode par défaut suggérant une altération des processus mémoriels et attentionnels et (ii) une augmentation au sein du réseau du central exécutif évoquant l'implication d'un processus compensatoire. L'ensemble de ces résultats indiquent la présence de réorganisations cérébrales des réseaux neuronaux (saillance, central exécutif et mode par défaut) sous-tendant la mémoire de travail au cours du vieillissement cérébral normal. / Normal brain aging is characterized by a progressive decline in information processing ability in particular in the system of working memory. Therefore, it is essential to examine neural substrates underlying the working memory system which can be assessed by functional magnetic resonance imaging (fMRI). The aim of our work is to explore, in a large cohort of healthy elderly individuals, reorganizations in the networks in relation to (i) increase task load during a DIR (delayed item recognition) task, (ii) age during increase DIR task load and (iii) the performance in the DIR task during a resting state. Three hundred and eighty elderly participants (82 years, 56% women) from the Three-City cohort in Montpellier have been selected to perform an fMRI exam including a DIR task and a resting state. DIR task consisted of three phases: (i) stimulation – presentation of one, three or six letters - (ii) retention - blank screen to hold the stimulus items in mind - and (iii) probe - after the presentation of a target letter, the participant indicates whether or not this probe matched a letter in the study array. In the first work, using a covariance analysis, we observed, when the difficulty of the DIR task increases, simultaneously increased activation in salience and central executive networks during three phases separately of the DIR task and decreased activation in DMN during stimulation phase and in limbic regions and deep grey nuclei during retention phase. It may be hypothesized that salience and central executive networks interact in a complex way with DMN and limbic regions and deep grey nuclei. In the second work, age effects on load-dependent increases activations of the task were explored. Reduced activation in the left parietal lobe was identified in very old individuals compared to young old individuals during the stimulation phase suggesting an involvement of posterior–anterior shift with increasing age. In the third work, networks implicated in working memory (central executive, salience and the default mode networks) were highlighted by independent component analysis during the resting state. Our findings have confirmed that the functional connectivity and performance are related by: (i) a decreased in the both salience and the default mode networks and (ii) an increased in the central executive network. We can suggest that the decreased functional connectivity within the salience and the default mode networks could be due attentional and memory processes alterations and/or altered motivation. The increased functional connectivity within the central executive network could be related to compensatory mechanisms meanwhile elders would perform more poorly. All of these studies indicate that brain reorganizations of neural networks (salience, central executive and default mode) underlying working memory in normal brain aging.

This thesis deals with questions of scanning electric activity of brain,¬ so-called electroencephalograph (undermentioned EEG), methods of audiovisual stimulation (undermentioned AVS) and a data-measurement processing. Theoretical part of the thesis is engaged in a theory of EEG signal creation, history and even in current methods of purchasing and processing of the EEG signal, theory of AVS and a theory of biofeedback. For measuring EEG signal with or without an application of AVS methods has been used EEG diagnostic device by Alien company. Its attributes are described in the thesis as well. For elaboration and analysis has been created a programme aplication EEG_xhroze00.fig which realizes frequency spectrum analysis using Fast Fourier Transform algorithm (FFT) and another programme aplication brain_mapping.fig for mapping activity of brain using designed algorithm.

Master’s thesis deal about electroencefalography, measurement EEG signals and analysis measuermed signals. Project contains two basis practical parts. Firts part contain two PC’s programs that’s are used to fundamental analysis to frequence-domain and visual display of brain mapping created with Matlab. Second chapter of practical parts includes two PC’s programs created with LabView. First of them is the EEG biofeedback making use for advanced analyses and second program is used to detection segment of stacionarity.

The identification of eloquent areas is of utmost importance in the surgery of tumors located near speech-eloquent brain areas, since the classical concept of a constant localization was proven to be untrue and the spatial localization of these areas may show large interindividual differences. Some neurosurgical centers apply intraoperative electrophysiological methods that, however, necessitate the performance of surgery in the awake patient. This might be a severe burden both for the patient and the operating team in a procedure that lasts several hours; in addition, electrical stimulation may generate epileptic seizures. Alternatively, methods of functional brain imaging (e.g., PET, fMRI, MEG) may be applied, which allow individual localization of speech-eloquent areas. Matching of these image data with a conventional 3D-CT or MRI now allows the exact transfer of this information into the surgical field by neuronavigation. Whereas standards concerning electrophysiological stimulation techniques that could prevent a permanent postoperative worsening of language are available, until now it remains unclear whether the resection of regions shown to be active in functional brain imaging will cause a permanent postoperative deficit. / Die Identifikation sprachaktiver Areale ist von höchster Bedeutung bei der Operation von Tumoren in der Nähe des vermuteten Sprachzentrums, da das klassische Konzept einer konstanten Lokalisation des Sprachzentrums sich als unrichtig erwiesen hat und die räumliche Ausdehnung dieser Areale eine hohe interindividuelle Varianz aufweisen kann. Einige neurochirurgische Zentren benutzen deshalb intraoperativ elektrophysiologische Methoden, die jedoch eine Operation am wachen Patienten voraussetzen. Dies kann sowohl für den Patienten als auch das Operations-Team eine schwere Belastung bei diesem mehrstündigen Eingriff darstellen, zusätzlich können epileptische Anfälle durch die elektrische Stimulation generiert werden. Alternativ können Modalitäten des «functional brain imaging» (PET, fMRT, MEG usw.) eingesetzt werden, die die individuelle Lokalisation sprachaktiver Areale gestatten. Die Bildfusion dieser Daten mit einem konventionellen 3D-CT oder MRT erlaubt den exakten Transfer dieser Daten in den OP-Situs mittels Neuronavigation. Während Standards bei elektrophysiologischen Stimulationstechniken existieren, die eine permanente postoperative Verschlechterung der Sprachfunktion weitgehend verhindern, bleibt die Relevanz sprachaktiver Areale bei den neuesten bildgebenden Techniken bezüglich einer Operations-bedingten Verschlechterung der Sprachfunktion bisher noch unklar. / Dieser Beitrag ist mit Zustimmung des Rechteinhabers aufgrund einer (DFG-geförderten) Allianz- bzw. Nationallizenz frei zugänglich.

The mismatch negativity (MMN) is a specific event-related potential (ERP) component used frequently in the observation of auditory processing. The MMN is elicited by a deviant stimulus randomly presented in the presence of repeating stimuli. The current study utilized the MMN response in order to determine the temporal (timing) and linguistic processing of natural and synthetic vowel stimuli. It was hypothesized that a significant MMN response would be elicited by natural and synthetic vowel stimuli. Brain mapping of the MMN response was hypothesized to yield temporal resolution information, which would provide detail regarding the sequential processing differences between natural and synthetic vowel stimuli. It was also hypothesized that the location of dipoles within the cortex would provide information pertaining to differences in cortical localization of processing for natural and synthetic stimuli. Vowel stimuli were presented to twenty participants (10 females and 10 males between the ages of 18 and 26 years) in a three-forced-choice response paradigm. Data from behavioral responses, reaction times, and ERPs were recorded for each participant. Results demonstrated that there were differences in the behavioral and electrophysiological responses between natural and synthesized vowels presented to young, normal hearing adults. In addition, significant MMN responses were evoked by both natural and synthetic vowel stimuli. Greater reaction times existed for the synthetic vowel phonemes compared to the natural vowel phonemes. Electrophysiological differences were primarily seen in the processing of the synthetic /u/ stimuli. Scalp distribution of cognitive processing was essentially the same for naturally produced phonemes. Processing of synthetic phonemes also had similar scalp distributions; however, the synthetic /u/ phoneme required more complex processing compared to the synthetic /æ/ phoneme. The most significant processing localizations were located in the superior temporal gyrus, which is known for its role in linguistic processing. Continued processing in the frontal lobe was observed, suggesting continual evaluation of natural and synthetic phonemes throughout processing.

The increasingly global environment has spurred the economy in the United States as well as the economies in nearly every other nation. Although the U.S. remains the world leader in the global economy, research shows that the United States is at risk of losing its place as the world leader in science and innovation. Policymakers have recognized the need for research addressing global competitiveness. President Bush signed the America Competes Act, which calls for increased investment in innovation and education to improve U.S. competitiveness and President Barack Obama has named a platform, "Science, Technology and Innovation for a New Generation" which will extend and prioritize the efforts to improve math and science education. K-12 U.S. students are graduating from high school unprepared to pursue degrees in science, technology, engineering and math (STEM) in college. Without STEM degrees they will be unable to pursue technology jobs after graduation. Statistics show that the U.S. is failing to produce as many graduates in STEM as other countries. In an increasingly global world, without graduates in STEM courses the U.S. is at risk of losing its position as the economic world leader. Government, industry and academia all agree that the U.S. needs to address education on a K-12 level to ensure that U.S. students are equipped with twenty-first century skills to compete in a twenty-first century global economy. Twenty-first century students are different from students of previous generations. Researchers argue that changes in the environment, specifically an increased exposure to technology, have changed the brains of twenty-first century students; twenty-first century students learn differently. However, twenty-first century students are being taught with an instructional curriculum that was designed for a previous generation that did not have the same exposure to technology. This is causing a digital-divide that is hindering the achievement of students. The instructional curriculum needs to be updated to meet the needs of twenty-first century students. This thesis addresses this need from a technical communication perspective by arguing that the instructional design of twenty-first century learning materials should be improved by adhering to guidelines for twenty-first century learning characteristics and twenty-first century technology use. The guidelines support a national goal to improve K-12 achievement in order to increase U.S. STEM graduates and increase the U.S.'s ability to compete in a global economy.