Introdução: Indivíduos com Transtorno do Espectro do Autismo (TEA) apresentam prejuízos nas interações sociais, comunicação e comportamento, além de poderem apresentar alterações cognitivas e de linguagem. Tendo em vista que o desenvolvimento da linguagem depende do funcionamento adequado da via auditiva periférica e central, ressalta-se a importância da avaliação audiológica completa, em especial, da avaliação do Sistema Nervoso Auditivo Central nessa população, tanto no diagnóstico como durante o processo terapêutico. Objetivos: caracterizar o Potencial Evocado Auditivo de Tronco Encefálico (PEATE) com estímulos clique e fala e o Potencial Evocado Auditivo de Longa Latência (PEALL) com estímulos tone burst e de fala, em indivíduos com TEA. Metodologia: participaram deste estudo 30 indivíduos na faixa etária de sete a 12 anos, de ambos os sexos, sendo 15 do grupo estudo (GE - crianças com diagnóstico de TEA) e 15 do grupo controle (GC - crianças com desenvolvimento típico - DT), pareados por sexo e idade. Foram realizados os seguintes procedimentos: anamnese, meatoscopia, avaliação audiológica básica (audiometria tonal, logoaudiometria e imitanciometria), e avaliação eletrofisiológica da audição (PEATE com estímulos clique e fala, e PEALL com estímulos tone burst e fala). Todos os exames foram realizados no Centro de Docência e Pesquisa do Departamento de Fisioterapia, Fonoaudiologia e Terapia Ocupacional da Faculdade de Medicina da Universidade de São Paulo. Resultados: No PEATE com estímulo clique, o valor médio de latência da onda I apresentou-se maior para orelha direita em ambos os grupos (valor-p = 0,037), ocorrendo assim o efeito orelha. Observou-se, também, que o interpico III - V no grupo com TEA foi maior do que o obtido no grupo com DT (valor-p = 0,046). No PEATE com estímulo de fala, a latência absoluta da onda V foi menor no grupo com TEA quando comparado ao grupo com DT (valor-p = 0,011). No PEALL, tanto para o estímulo tone burst quanto para o estímulo de fala, a latência do componente N1 foi maior na orelha direita (valor-p = 0,050), não sendo observada diferença significante entre os grupos tanto para os valores de latência quanto para os de amplitude dos componentes estudados. Conclusão: No que diz respeito ao PEATE clique, indivíduos com TEA apresentaram resultados sugestivos de alteração na via auditiva em tronco encefálico alto, indicando possíveis lesões ou disfunções do Sistema Nervoso Auditivo Central (SNAC). Com relação ao PEATE com estímulo de fala, pode-se concluir que a população de estudo apresentou codificação neural mais rápida da parte inicial do estímulo acústico (onset) quando comparada ao grupo com DT. Os resultados do PEALL não demonstraram alteração a nível cortical em indivíduos com TEA. Frente aos resultados obtidos, sugere-se novos estudos que realizem os exames eletrofisiológicos de curta e longa latência com um número maior de participantes / Introduction: Individuals with Autism Spectrum Disorder (ASD), showed issues in social interactions, communication and behavior, and it is also possible to present impaired cognitive and language skills. Taking into account the knowledge about the peripheral and central hearing, it highlights importance of the complete audiological evaluation, in particular, the evaluation of the Central Auditory Nervous System in this population, in diagnosis and during the therapeutic process. Aim: To characterize Brainstem Evoked Response Auditory (BERA) with click and speech stimuli and Long-Latency Auditory Evoked Potential (LLAEP) with tone burst and speech stimuli, in individuals with ASD. Methods: 30 children aged between seven and 12 years, of both sexes participated in this study, 15 of the study group (SG - children diagnosed with ASD) and 15 of the control group (CG - children with typical development - TD), matched by sex and age. The following tests were accomplished: anamnesis, meatoscopy, basic audiological evaluation (tonal audiometry, logoaudiometry and imitanciometry), and electrophysiological evaluation of hearing (BERA with click and speech stimulus and LLAEP with tone burst and speech stimulus). All the exams were done at the Teaching and Research Center of the Department of Physical Therapy, Speech and Hearing Therapy and Occupational Therapy, Faculty of Medicine, University of São Paulo. Results: In BERA with click stimulus, the average latency value of the wave I was higher for the right ear in all groups (p-value = 0.037), this occurring the ear effect. It was also observed that the III-V interpeak is higher in the TEA group than TD group (p-value = 0.046). In BERA with speech stimulus, an absolute latency of wave V was smaller than the ASD group when compared to the group with TD (p-value = 0.011). In the LLAEP, for the tone burst stimulus as well as for the speech stimulus, the latency of the N1 component was higher in the right ear (p-value = 0.050), between the groups were not being observed meaning differences for the latency values as for the amplitude values of the studied components. Conclusion: In relation to the BERA click, TEA group presented suggestive results of impairment in the auditory pathway, upper brainstem part, indicating possible lesions or dysfunctions of the Central Auditory Nervous System (CANS). With regard to BERA speech, can be concluded that the study population presented faster neural encoding of the initial part in the acoustic stimulus (onset) when compared with the TD group. The results of the LLAEP didn\'t show any changes in a cortical level of TEA group. From the results, we suggest new studies with BERA and LLAEP with a larger number of participants

L'application de classifieurs linéaires à l'analyse des données d'imagerie cérébrale (fMRI) a mené à plusieurs percées intéressantes au cours des dernières années. Ces classifieurs combinent linéairement les réponses des voxels pour détecter et catégoriser différents états du cerveau. Ils sont plus agnostics que les méthodes d'analyses conventionnelles qui traitent systématiquement les patterns faibles et distribués comme du bruit. Dans le présent projet, nous utilisons ces classifieurs pour valider une hypothèse portant sur l'encodage des sons dans le cerveau humain. Plus précisément, nous cherchons à localiser des neurones, dans le cortex auditif primaire, qui détecteraient les modulations spectrales et temporelles présentes dans les sons. Nous utilisons les enregistrements fMRI de sujets soumis à 49 modulations spectro-temporelles différentes. L'analyse fMRI au moyen de classifieurs linéaires n'est pas standard, jusqu'à maintenant, dans ce domaine. De plus, à long terme, nous avons aussi pour objectif le développement de nouveaux algorithmes d'apprentissage automatique spécialisés pour les données fMRI. Pour ces raisons, une bonne partie des expériences vise surtout à étudier le comportement des classifieurs. Nous nous intéressons principalement à 3 classifieurs linéaires standards, soient l'algorithme machine à vecteurs de support (linéaire), l'algorithme régression logistique (régularisée) et le modèle bayésien gaussien naïf (variances partagées). / The application of linear machine learning classifiers to the analysis of brain imaging data (fMRI) has led to several interesting breakthroughs in recent years. These classifiers combine the responses of the voxels to detect and categorize different brain states. They allow a more agnostic analysis than conventional fMRI analysis that systematically treats weak and distributed patterns as unwanted noise. In this project, we use such classifiers to validate an hypothesis concerning the encoding of sounds in the human brain. More precisely, we attempt to locate neurons tuned to spectral and temporal modulations in sound. We use fMRI recordings of brain responses of subjects listening to 49 different spectro-temporal modulations. The analysis of fMRI data through linear classifiers is not yet a standard procedure in this field. Thus, an important objective of this project, in the long term, is the development of new machine learning algorithms specialized for neuroimaging data. For these reasons, an important part of the experiments is dedicated to studying the behaviour of the classifiers. We are mainly interested in 3 standard linear classifiers, namely the support vectors machine algorithm (linear), the logistic regression algorithm (regularized) and the naïve bayesian gaussian model (shared variances).

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Le système auditif possède deux particularités. En périphérie, les mécanismes cochléaires actifs (MCA), sous-tendus par la motilité des cellules ciliées externes (CCE), interviennent dans la sensibilité auditive et la sélectivité fréquentielle. Sur le versant central, le système efférent olivocochléaire médian (SEOCM), qui se projette sur les CCE et module les MCA, améliore la perception auditive en milieu bruité. Sur le plan exploratoire, ces deux processus peuvent être évalués grâce aux otoémissions acoustiques provoquées (OEAP) et leur suppression controlatérale. Par ailleurs, des résultats expérimentaux chez l’animal ont montré l’existence d’un rétrocontrôle exercé par le système auditif corticofuge descendant (SACD) sur la cochlée, via le SEOCM.Le présent travail comporte trois études réalisées chez l’humain, visant à explorer les interactions entre SACD, SEOCM et MCA. Les études 1 et 2, utilisant une méthodologie innovante chez des patients épileptiques réalisant une stéréo-électroencéphalographie, ont révélé un effet atténuateur différentiel de la stimulation électrique intracérébrale sur l’amplitude des OEAP, en fonction des modalités de stimulation, ainsi qu’une variabilité de cet effet selon les caractéristiques de l’épilepsie. L’étude 3 a montré un renforcement bilatéral de l’activité du SEOCM chez des musiciens professionnels.Pris dans leur ensemble, ces résultats fournissent d’une part, des arguments directs et indirects en faveur de l’existence d’un SACD fonctionnel chez l’humain. D’autre part, des phénomènes de plasticité à long terme, pathologique ou supranormale, seraient susceptibles de modifier l’activité de cette voie cortico-olivocochléaire. / The auditory system has two special features. At peripheral level, active cochlear micromechanisms (ACM), underlain by motility of outer hair cells (OHC), are involved in auditory sensitivity and frequency selectivity. At central level, the medial olivocochlear efferent system (MOCES), which directly projects onto OHC to modulate ACM, improves auditory perception in noise. From an exploratory point of view, both processes can be assessed through transient evoked otoacoustic emissions (TEOAE) and the procedure of contralateral suppression. In addition, experimental data in animals have disclosed a top-down control exerted by corticofugal descending auditory system (CDAS) on cochlea, via MOCES.The present work comprises three studies carried out in human, aiming to investigate interactions between CDAS, MOCES and ACM. The first and second studies, based on an innovative experimental procedure in epileptic patients undergoing presurgical stereoelectroencephalography, have revealed a differential attenuation effect of intracerebral electrical stimulation on TEOAE amplitude depending on stimulation modalities, as well as a variability of this effect depending on the clinical history of epilepsy. The third study has shown a bilateral enhancement of MOCES activity in professional musicians.Taking together, these results provide direct and indirect evidence for the existence of a functional CDAS in humans. Moreover, possible long-term plasticity phenomenon, either pathological –as in epileptic patients– or supernormal –as in professional musicians– may change cortico-olivocochlear activity.