Discovering biomarkers for antidepressant response:protocol from the Canadian biomarker integration network in depression (CAN-BIND) and clinical characteristics of the first patient cohort

Background: Major Depressive Disorder (MDD) is among the most prevalent and disabling medical conditions worldwide. Identification of clinical and biological markers ("biomarkers") of treatment response could personalize clinical decisions and lead to better outcomes. This paper describes the aims, design, and methods of a discovery study of biomarkers in antidepressant treatment response, conducted by the Canadian Biomarker Integration Network in Depression (CAN-BIND). The CAN-BIND research program investigates and identifies biomarkers that help to predict outcomes in patients with MDD treated with antidepressant medication. The primary objective of this initial study (known as CAN-BIND-1) is to identify individual and integrated neuroimaging, electrophysiological, molecular, and clinical predictors of response to sequential antidepressant monotherapy and adjunctive therapy in MDD. Methods: CAN-BIND-1 is a multisite initiative involving 6 academic health centres working collaboratively with other universities and research centres. In the 16-week protocol, patients with MDD are treated with a first-line antidepressant (escitalopram 10-20 mg/d) that, if clinically warranted after eight weeks, is augmented with an evidence-based, add-on medication (aripiprazole 2-10 mg/d). Comprehensive datasets are obtained using clinical rating scales; behavioural, dimensional, and functioning/quality of life measures; neurocognitive testing; genomic, genetic, and proteomic profiling from blood samples; combined structural and functional magnetic resonance imaging; and electroencephalography. De-identified data from all sites are aggregated within a secure neuroinformatics platform for data integration, management, storage, and analyses. Statistical analyses will include multivariate and machine-learning techniques to identify predictors, moderators, and mediators of treatment response. Discussion: From June 2013 to February 2015, a cohort of 134 participants (85 outpatients with MDD and 49 healthy participants) has been evaluated at baseline. The clinical characteristics of this cohort are similar to other studies of MDD. Recruitment at all sites is ongoing to a target sample of 290 participants. CAN-BIND will identify biomarkers of treatment response in MDD through extensive clinical, molecular, and imaging assessments, in order to improve treatment practice and clinical outcomes. It will also create an innovative, robust platform and database for future research. Trial registration: ClinicalTrials.gov identifier NCT01655706. Registered July 27, 2012.

Neurophysiological investigations for the diagnosis of non-epileptic attack disorder in neuropsychiatry services:from safety standards to improved effectiveness

OBJECTIVE: The discipline of clinical neuropsychiatry currently provides specialised services for a number of conditions that cross the traditional boundaries of neurology and psychiatry, including non-epileptic attack disorder. Neurophysiological investigations have an important role within neuropsychiatry services, with video-electroencephalography (EEG) telemetry being the gold standard investigation for the differential diagnosis between epileptic seizures and non-epileptic attacks. This article reviews existing evidence on best practices for neurophysiology investigations, with focus on safety measures for video-EEG telemetry. METHODS: We conducted a systematic literature review using the PubMed database in order to identify the scientific literature on the best practices when using neurophysiological investigations in patients with suspected epileptic seizures or non-epileptic attacks. RESULTS: Specific measures need to be implemented for video-EEG telemetry to be safely and effectively carried out by neuropsychiatry services. A confirmed diagnosis of non-epileptic attack disorder following video-EEG telemetry carried out within neuropsychiatry units has the inherent advantage of allowing diagnosis communication and implementation of treatment strategies in a timely fashion, potentially improving clinical outcomes and cost-effectiveness significantly. CONCLUSION: The identified recommendations set the stage for the development of standardised guidelines to enable neuropsychiatry services to implement streamlined and evidence-based care pathways.

An integrated functional mapping and source localization platform for brain research

The premise of this dissertation is to create a highly integrated platform that combines the most current recording technologies for brain research through the development of new algorithms for three-dimensional (3D) functional mapping and 3D source localization. The recording modalities that were integrated include: Electroencephalography (EEG), Optical Topographic Maps (OTM), Magnetic Resonance Imaging (MRI), and Diffusion Tensor Imaging (DTI). This work can be divided into two parts: The first part involves the integration of OTM with MRI, where the topographic maps are mapped to both the skull and cortical surface of the brain. This integration process is made possible through the development of new algorithms that determine the probes location on the MRI head model and warping the 2D topographic maps onto the 3D MRI head/brain model. Dynamic changes of the brain activation can be visualized on the MRI head model through a graphical user interface. The second part of this research involves augmenting a fiber tracking system, by adding the ability to integrate the source localization results generated by commercial software named Curry. This task involved registering the EEG electrodes and the dipole results to the MRI data. Such Integration will allow the visualization of fiber tracts, along with the source of the EEG, in a 3D transparent brain structure. The research findings of this dissertation were tested and validated through the participation of patients from Miami Children Hospital (MCH). Such an integrated platform presented to the medical professionals in the form of a user-friendly graphical interface is viewed as a major contribution of this dissertation. It should be emphasized that there are two main aspects to this research endeavor: (1) if a dipole could be situated in time at its different positions, its trajectory may reveal additional information on the extent and nature of the brain malfunction; (2) situating such a dipole trajectory with respect to the fiber tracks could ensure the preservation of these fiber tracks (axons) during surgical interventions, preserving as a consequence these parts of the brain that are responsible for information transmission.

Efeito agudo da respiração abdominal lenta sobre a atividade cerebral, respostas emocionais e cardiovasculares

Introduction: Slow abdominal breathing (SAB) stimulates baroreflex and generates respiratory sinus arrhythmia, changing cardiovascular, emotional and cerebral systems acute and chronically. However, although meditative practices have been receiving increasingly attention in the last years, there is no agreement on the neurophysiological changes underlying them, mainly because of the lack of topographical pieces of information. Purpose: We aimed to analyze the acute effect of SAB on brain activity, emotional and cardiovascular responses in untrained subjects in meditative techniques. Methods: Seventeen healthy adults’ men were assessed into two different sessions in a random and crossed order. Into experimental session, they breathed in 6 cycles/minute and in control session they kept breathing in normal rate, both for 20 minutes. xi Before, during, and after each session we assessed brain activity using electroencephalography (EEG), anxiety, mood, heart rate variability (HRV) and blood pressure. The sLORETA software was used to analyze EEG data for source localization of brain areas in which activity was changed. Results: The sLORETA showed that beta band frequency was reduced in frontal gyrus (P<0.01) and anterior cingulate cortex (P<0.05) both during and after SAB (P<0.05) compared to the moment before it. There was no change in brain activity in control session. Additionally, a two-way repeated measures ANOVA showed that there was no effect on anxiety (P>0.8) and mood (P>0.08). There were improvements in HRV (P<0.03), with increased RR interval and decreased HR after SAB, as well as increased SDNN, RMSSD, pNN50, low frequency, LF/HF ratio, and total power during it, with no changes in SBP and DBP. Conclusions: We conclude that SAB is able to change brain activity in areas responsible for emotional processing, even without behavioral changes. Furthermore, SAB improves HRV and does not change blood pressure in normotensive.

Classificador máquina de suporte vetorial com análise de Fourier aplicada em dados de EEG e EMG

The classifier support vector machine is used in several problems in various areas of knowledge. Basically the method used in this classier is to end the hyperplane that maximizes the distance between the groups, to increase the generalization of the classifier. In this work, we treated some problems of binary classification of data obtained by electroencephalography (EEG) and electromyography (EMG) using Support Vector Machine with some complementary techniques, such as: Principal Component Analysis to identify the active regions of the brain, the periodogram method which is obtained by Fourier analysis to help discriminate between groups and Simple Moving Average to eliminate some of the existing noise in the data. It was developed two functions in the software R, for the realization of training tasks and classification. Also, it was proposed two weights systems and a summarized measure to help on deciding in classification of groups. The application of these techniques, weights and the summarized measure in the classier, showed quite satisfactory results, where the best results were an average rate of 95.31% to visual stimuli data, 100% of correct classification for epilepsy data and rates of 91.22% and 96.89% to object motion data for two subjects.

Adaptive Brain-Computer Interface Systems For Communication in People with Severe Neuromuscular Disabilities

Brain-computer interfaces (BCI) have the potential to restore communication or control abilities in individuals with severe neuromuscular limitations, such as those with amyotrophic lateral sclerosis (ALS). The role of a BCI is to extract and decode relevant information that conveys a user's intent directly from brain electro-physiological signals and translate this information into executable commands to control external devices. However, the BCI decision-making process is error-prone due to noisy electro-physiological data, representing the classic problem of efficiently transmitting and receiving information via a noisy communication channel.

This research focuses on P300-based BCIs which rely predominantly on event-related potentials (ERP) that are elicited as a function of a user's uncertainty regarding stimulus events, in either an acoustic or a visual oddball recognition task. The P300-based BCI system enables users to communicate messages from a set of choices by selecting a target character or icon that conveys a desired intent or action. P300-based BCIs have been widely researched as a communication alternative, especially in individuals with ALS who represent a target BCI user population. For the P300-based BCI, repeated data measurements are required to enhance the low signal-to-noise ratio of the elicited ERPs embedded in electroencephalography (EEG) data, in order to improve the accuracy of the target character estimation process. As a result, BCIs have relatively slower speeds when compared to other commercial assistive communication devices, and this limits BCI adoption by their target user population. The goal of this research is to develop algorithms that take into account the physical limitations of the target BCI population to improve the efficiency of ERP-based spellers for real-world communication.

In this work, it is hypothesised that building adaptive capabilities into the BCI framework can potentially give the BCI system the flexibility to improve performance by adjusting system parameters in response to changing user inputs. The research in this work addresses three potential areas for improvement within the P300 speller framework: information optimisation, target character estimation and error correction. The visual interface and its operation control the method by which the ERPs are elicited through the presentation of stimulus events. The parameters of the stimulus presentation paradigm can be modified to modulate and enhance the elicited ERPs. A new stimulus presentation paradigm is developed in order to maximise the information content that is presented to the user by tuning stimulus paradigm parameters to positively affect performance. Internally, the BCI system determines the amount of data to collect and the method by which these data are processed to estimate the user's target character. Algorithms that exploit language information are developed to enhance the target character estimation process and to correct erroneous BCI selections. In addition, a new model-based method to predict BCI performance is developed, an approach which is independent of stimulus presentation paradigm and accounts for dynamic data collection. The studies presented in this work provide evidence that the proposed methods for incorporating adaptive strategies in the three areas have the potential to significantly improve BCI communication rates, and the proposed method for predicting BCI performance provides a reliable means to pre-assess BCI performance without extensive online testing.

Seizure burden and neurodevelopmental outcome in neonates with hypoxic-ischemic encephalopathy.

Aim: To examine the relationship between electrographic seizures and long-term outcome in neonates with hypoxic-ischemic encephalopathy (HIE). Method: Full-term neonates with HIE born in Cork University Maternity Hospital from 2003 to 2006 (pre-hypothermia era) and 2009 to 2012 (hypothermia era) were included in this observational study. All had early continuous electroencephalography monitoring. All electrographic seizures were annotated. The total seizure burden and hourly seizure burden were calculated. Outcome (normal/abnormal) was assessed at 24 to 48 months in surviving neonates using either the Bayley Scales of Infant and Toddler Development, Third Edition or the Griffiths Mental Development Scales; a diagnosis of cerebral palsy or epilepsy was also considered an abnormal outcome. Results: Continuous electroencephalography was recorded for a median of 57.1 hours (interquartile range 33.5-80.5h) in 47 neonates (31 males, 16 females); 29 out of 47 (62%) had electrographic seizures and 25 out of 47 (53%) had an abnormal outcome. The presence of seizures per se was not associated with abnormal outcome (p=0.126); however, the odds of an abnormal outcome increased over ninefold (odds ratio [OR] 9.56; 95% confidence interval [95% CI] 2.43-37.67) if a neonate had a total seizure burden of more than 40 minutes (p=0.001), and eightfold (OR: 8.00; 95% CI: 2.06-31.07) if a neonate had a maximum hourly seizure burden of more than 13 minutes per hour (p=0.003). Controlling for electrographic HIE grade or treatment with hypothermia did not change the direction of the relationship between seizure burden and outcome. Interpretation: In HIE, a high electrographic seizure burden is significantly associated with abnormal outcome, independent of HIE severity or treatment with hypothermia.

Traitement des émotions évoquées par les expressions faciales, vocales et musicales à la suite d’un traumatisme craniocérébral

Le traitement des émotions joue un rôle essentiel dans les relations interpersonnelles. Des déficits dans la reconnaissance des émotions évoquées par les expressions faciales et vocales ont été démontrés à la suite d’un traumatisme craniocérébral (TCC). Toutefois, la majorité des études n’ont pas différencié les participants selon le niveau de gravité du TCC et n’ont pas évalué certains préalables essentiels au traitement émotionnel, tels que la capacité à percevoir les caractéristiques faciales et vocales, et par le fait même, la capacité à y porter attention. Aucune étude ne s’est intéressée au traitement des émotions évoquées par les expressions musicales, alors que la musique est utilisée comme méthode d’intervention afin de répondre à des besoins de prise en charge comportementale, cognitive ou affective chez des personnes présentant des atteintes neurologiques. Ainsi, on ignore si les effets positifs de l’intervention musicale sont basés sur la préservation de la reconnaissance de certaines catégories d’émotions évoquées par les expressions musicales à la suite d’un TCC. La première étude de cette thèse a évalué la reconnaissance des émotions de base (joie, tristesse, peur) évoquées par les expressions faciales, vocales et musicales chez quarante et un adultes (10 TCC modéré-sévère, 9 TCC léger complexe, 11 TCC léger simple et 11 témoins), à partir de tâches expérimentales et de tâches perceptuelles contrôles. Les résultats suggèrent un déficit de la reconnaissance de la peur évoquée par les expressions faciales à la suite d’un TCC modéré-sévère et d’un TCC léger complexe, comparativement aux personnes avec un TCC léger simple et sans TCC. Le déficit n’est pas expliqué par un trouble perceptuel sous-jacent. Les résultats montrent de plus une préservation de la reconnaissance des émotions évoquées par les expressions vocales et musicales à la suite d’un TCC, indépendamment du niveau de gravité. Enfin, malgré une dissociation observée entre les performances aux tâches de reconnaissance des émotions évoquées par les modalités visuelle et auditive, aucune corrélation n’a été trouvée entre les expressions vocales et musicales. La deuxième étude a mesuré les ondes cérébrales précoces (N1, N170) et plus tardives (N2) de vingt-cinq adultes (10 TCC léger simple, 1 TCC léger complexe, 3 TCC modéré-sévère et 11 témoins), pendant la présentation d’expressions faciales évoquant la peur, la neutralité et la joie. Les résultats suggèrent des altérations dans le traitement attentionnel précoce à la suite d’un TCC, qui amenuisent le traitement ultérieur de la peur évoquée par les expressions faciales. En somme, les conclusions de cette thèse affinent notre compréhension du traitement des émotions évoquées par les expressions faciales, vocales et musicales à la suite d’un TCC selon le niveau de gravité. Les résultats permettent également de mieux saisir les origines des déficits du traitement des émotions évoquées par les expressions faciales à la suite d’un TCC, lesquels semblent secondaires à des altérations attentionnelles précoces. Cette thèse pourrait contribuer au développement éventuel d’interventions axées sur les émotions à la suite d’un TCC.

Processing of hierarchical syntactic strusture in music

Hierarchical structure with nested nonlocal dependencies is a key feature of human language and can be identified theoretically in most pieces of tonal music. However, previous studies have argued against the perception of such structures in music. Here, we show processing of nonlocal dependencies in music. We presented chorales by J. S. Bach and modified versions inwhich the hierarchical structure was rendered irregular whereas the local structure was kept intact. Brain electric responses differed between regular and irregular hierarchical structures, in both musicians and nonmusicians. This finding indicates that, when listening to music, humans apply cognitive processes that are capable of dealing with longdistance dependencies resulting from hierarchically organized syntactic structures. Our results reveal that a brain mechanism fundamental for syntactic processing is engaged during the perception of music, indicating that processing of hierarchical structure with nested nonlocal dependencies is not just a key component of human language, but a multidomain capacity of human cognition.

Le sommeil comme marqueur du déclin cognitif dans la maladie de Parkinson

La maladie de Parkinson (MP) est une maladie neurodégénérative qui se caractérise principalement par la présence de symptômes moteurs. Cependant, d’autres symptômes, dits non moteurs, sont fréquents dans la MP et assombrissent le pronostic; ceux ci incluent notamment les désordres du sommeil et les troubles cognitifs. De fait, sur une période de plus de 10 ans, jusqu’à 90 % des patients avec la MP développeraient une démence. L’identification de marqueurs de la démence dans la MP est donc primordiale pour permettre le diagnostic précoce et favoriser le développement d’approches thérapeutiques préventives. Plusieurs études ont mis en évidence la contribution du sommeil dans les processus de plasticité cérébrale, d’apprentissage et de consolidation mnésique, notamment l’importance des ondes lentes (OL) et des fuseaux de sommeil (FS). Très peu de travaux se sont intéressés aux liens entre les modifications de la microarchitecture du sommeil et le déclin cognitif dans la MP. L’objectif de cette thèse est de déterminer, sur le plan longitudinal, si certains marqueurs électroencéphalographiques (EEG) en sommeil peuvent prédire la progression vers la démence chez des patients atteints de la MP. La première étude a évalué les caractéristiques des OL et des FS durant le sommeil lent chez les patients avec la MP selon qu’ils ont développé ou non une démence (MP démence vs MP sans démence) lors du suivi longitudinal, ainsi que chez des sujets contrôles en santé. Comparativement aux patients MP sans démence et aux sujets contrôles, les patients MP démence présentaient au temps de base une diminution de la densité, de l’amplitude et de la fréquence des FS. La diminution de l’amplitude des FS dans les régions postérieures était associée à de moins bonnes performances aux tâches visuospatiales chez les patients MP démence. Bien que l’amplitude des OL soit diminuée chez les deux groupes de patients avec la MP, celle ci n’était pas associée au statut cognitif lors du suivi. La deuxième étude a évalué les marqueurs spectraux du développement de la démence dans la MP à l’aide de l’analyse quantifiée de l’EEG en sommeil lent, en sommeil paradoxal et à l’éveil. Les patients MP démence présentaient une diminution de la puissance spectrale sigma durant le sommeil lent dans les régions pariétales comparativement aux patients MP sans démence et aux contrôles. Durant le sommeil paradoxal, l’augmentation de la puissance spectrale en delta et en thêta, de même qu’un plus grand ratio de ralentissement de l’EEG, caractérisé par un rapport plus élevé des basses fréquences sur les hautes fréquences, était associée au développement de la démence chez les patients avec la MP. D’ailleurs, dans la cohorte de patients, un plus grand ralentissement de l’EEG en sommeil paradoxal dans les régions temporo occipitales était associé à des performances cognitives moindres aux épreuves visuospatiales. Enfin, durant l’éveil, les patients MP démence présentaient au temps de base une augmentation de la puissance spectrale delta, un plus grand ratio de ralentissement de l’EEG ainsi qu’une diminution de la fréquence dominante occipitale alpha comparativement aux patients MP sans démence et aux contrôles. Cette thèse suggère que des anomalies EEG spécifiques durant le sommeil et l’éveil peuvent identifier les patients avec la MP qui vont développer une démence quelques années plus tard. L’activité des FS, ainsi que le ralentissement de l’EEG en sommeil paradoxal et à l’éveil, pourraient donc servir de marqueurs potentiels du développement de la démence dans la MP.

The Effect of Carbohydrate Mouth Rinsing On Skill Specific Performance and Cognitive Function Following a Fatigue Inducing Bout of Fencing

The aim of this study was to investigate whether rinsing the mouth with a carbohydrate solution could improve skill-specific fencing performance and cognitive function following a fatigue inducing simulated bout of fencing in epee fencers. Eleven healthy, competitive epee fencers (three female; eight male; 33.9 ± 14.7 years; body mass 79 ± 16 kg; height 162 ± 54 cm) volunteered to participant in a single-blind crossover design study. During visit 1 participants completed a 1-minute lunge test and stroop test pre and post fatigue inducing fencing protocol. A 30 second electroencephalography (EEG) recording was taken pre-protocol participants were instructed stay in a seated stationary position with their eyes closed. Heart rate and ratings of perceived exertion were recorded following each fight during the fatiguing protocol. Participants mouth rinsed (10 seconds) either 25ml of a 6.7% maltodextrin solution (CHO) or 25ml of water (placebo) between fights and during the EEG recording. Blood lactate and glucose measurements were taken at baseline, pre and post protocol. All measurements and tests were repeated during a 2nd visit to the laboratory, except participants were given a different solution to mouth rinse, separated by a minimum of 5 days. The results showed an increase in heart rate (P < 0.05) and overall RPE (P < 0.001) over time in both trials. There were no recorded differences in blood glucose (F(1,8) = 0.634, P = 0.4, ηp 0.07) or blood lactate levels (F(1,8) = 0.123, P = 0.7, ηp 0.01) between trials. There was a significant improvement in lunge test accuracy in the CHO trial (F(1,8) = 5.214, P = 0.05, ηp 0.40). However, there was no recorded difference in response time to congruent (F(1,8) = 0.326, P = 0.58, ηp 0.04) or incongruent (F(1,8) = 0.189, P = 0.68, ηp 0.02) stimuli between trials. In conclusion mouth rinsing a CHO solution significantly improves accuracy of skill-specific fencing performance but does not affect cognitive function following a fatigue inducing fencing protocol in epee fencers.

L'influence des oscillations en delta sur la sélection d'une action

Résumé : La capacité de décider parmi plusieurs possibilités d'actions, grâce à l'information sensorielle disponible, est essentielle à un organisme interagissant avec un environnement complexe. Les modèles actuels de sélection d'une action soutiennent que le cerveau traite continuellement l'information sensorielle afin de planifier plusieurs possibilités d'action en parallèle. Dans cette perspective, ces représentations motrices, associées à chaque possibilité d'action, sont en constante compétition entre elles. Afin qu'une alternative puisse être sélectionnée pour le mouvement, une valeur de pondération, intégrant une multitude de facteurs, doit être associée à chacun des plans moteurs afin de venir moduler la compétition. Plusieurs études se sont intéressées aux différents facteurs modulant la sélection de l'action, tels que la disposition de l'environnement, le coût des actions, le niveau de récompense, etc. Par contre, il semble qu'aucune étude n'ait rapporté ce qu'il advient lorsque la valeur de pondération de chacune des actions possibles est identique. Dans ce contexte, quel est l'élément permettant de venir moduler la sélection de l'action? De ce fait, l'objectif principal de mon projet de maitrise est d'investiguer le facteur permettant au cerveau de sélectionner une action lorsque tous les facteurs rapportés dans la littérature sont contrôlés. De récentes données ont montré que les oscillations corticales lentes dans la bande delta peuvent servir d'instrument de sélection attentionnelle en modulant l'amplitude de la réponse neuronale. Ainsi, les stimuli arrivant dans le cortex pendant une phase en delta de forte excitabilité sont amplifiés, tandis que ceux arrivant lors d'une phase en delta de faible excitabilité sont atténués. Ceci dit, il est possible que la phase en delta dans laquelle se trouve le cerveau au moment d'effectuer la sélection d'une action puisse influencer la décision. Utilisant une tâche de sélection de main, cette étude teste l'hypothèse que la sélection de la main est associée à la phase en delta des ensembles neuronaux codant le mouvement de chacune des mains, lorsque tous les facteurs connus influençant la décision sont contrôlés. L'électroencéphalographie (EEG) fut utilisée afin d'enregistrer les signaux corticaux pendant que les participants effectuaient une tâche de sélection de main dans laquelle ils devaient, à chaque essai, atteindre une cible visuelle aussi rapidement que possible en utilisant la main de leur choix. La tâche fut conçue de façon à ce que les facteurs spatiaux et biomécaniques soient contrôlés. Ceci fut réalisé enidentifiant premièrement, sur une base individuelle, l'emplacement de la cible pour laquelle les mains droite et gauche avaient une probabilité équivalente d'être choisies (point d'égalité subjective, PSE). Ensuite, dans l'expérience principale, les participants effectuaient plusieurs mouvements d'atteinte vers des cibles positionnées près et loin du PSE, toujours avec la main de leur choix. L'utilisation de cinq cibles très près du PSE a permis de collecter de nombreux essais dans lesquels la main droite et la main gauche furent sélectionnées en réponse à un même stimulus visuel. Ceci a ainsi permis d'analyser les signaux des deux cortex dans des conditions d'utilisation de la main droite et gauche, tout en contrôlant pour les autres facteurs pouvant moduler la sélection de la main. Les résultats de cette recherche révèlent que l'hémisphère cortical se trouvant dans la phase la plus excitable en delta (près du pic négatif), lors de l'apparition du stimulus, est associé à la fois à la main qui sera sélectionnée ainsi qu'au temps de réaction. Ces résultats montrent que l'excitabilité corticale momentanée (phase du signal) pourrait agir comme un facteur modulant la sélection d'une action. Dans cette optique, ces données élargissent considérablement les modèles actuels en montrant que la sélection d'une action est en partie déterminée par l'état du cerveau au moment d'effectuer un choix, d'une manière qui est indépendante de toutes les variables de décision connues.

Entropy feature extraction of EEG signals for automatic person identification

The use of human brain electroencephalography (EEG) signals for automatic person identi cation has been investigated for a decade. It has been found that the performance of an EEG-based person identication system highly depends on what feature to be extracted from multi-channel EEG signals. Linear methods such as Power Spectral Density and Autoregressive Model have been used to extract EEG features. However these methods assumed that EEG signals are stationary. In fact, EEG signals are complex, non-linear, non-stationary, and random in nature. In addition, other factors such as brain condition or human characteristics may have impacts on the performance, however these factors have not been investigated and evaluated in previous studies. It has been found in the literature that entropy is used to measure the randomness of non-linear time series data. Entropy is also used to measure the level of chaos of braincomputer interface systems. Therefore, this thesis proposes to study the role of entropy in non-linear analysis of EEG signals to discover new features for EEG-based person identi- cation. Five dierent entropy methods including Shannon Entropy, Approximate Entropy, Sample Entropy, Spectral Entropy, and Conditional Entropy have been proposed to extract entropy features that are used to evaluate the performance of EEG-based person identication systems and the impacts of epilepsy, alcohol, age and gender characteristics on these systems. Experiments were performed on the Australian EEG and Alcoholism datasets. Experimental results have shown that, in most cases, the proposed entropy features yield very fast person identication, yet with compatible accuracy because the feature dimension is low. In real life security operation, timely response is critical. The experimental results have also shown that epilepsy, alcohol, age and gender characteristics have impacts on the EEG-based person identication systems.

An approach to emotion recognition in single-channel EEG signals: a mother child interaction

In this work, we perform a first approach to emotion recognition from EEG single channel signals extracted in four (4) mother-child dyads experiment in developmental psychology -- Single channel EEG signals are analyzed and processed using several window sizes by performing a statistical analysis over features in the time and frequency domains -- Finally, a neural network obtained an average accuracy rate of 99% of classification in two emotional states such as happiness and sadness

Pseudoneglect and visual attention networks

Pseudoneglect represents the tendency for healthy individuals to show a slight but consistent bias in favour of stimuli appearing in the left visual field. The bias is often measured using variants of the line bisection task. An accurate model of the functional architecture of the visuospatial attention system must account for this widely observed phenomenon, as well as for modulation of the direction and magnitude of the bias within individuals by a variety of factors relating to the state of the participant and/or stimulus characteristics. To date, the neural correlates of pseudoneglect remain relatively unmapped. In the current thesis, I employed a combination of psychophysical measurements, electroencephalography (EEG) recording and transcranial direct current stimulation (tDCS) in an attempt to probe the neural generator(s) of pseudoneglect. In particular, I wished to utilise and investigate some of the factors known to modulate the bias (including age, time-on-task and the length of the to-be-bisected line) in order to identify neural processes and activity that are necessary and sufficient for the lateralized bias to arise. Across four experiments utilising a computerized version of a perceptual line bisection task, pseudoneglect was consistently observed at baseline in healthy young participants. However, decreased line length (experiments 1, 2 and 3), time-on-task (experiment 1) and healthy aging (experiment 3) were all found to modulate the bias. Specifically, all three modulations induced a rightward shift in subjective midpoint estimation. Additionally, the line length and time-on-task effects (experiment 1) and the line length and aging effects (experiment 3) were found to have additive relationships. In experiment 2, EEG measurements revealed the line length effect to be reflected in neural activity 100 – 200ms post-stimulus onset over source estimated posterior regions of the right hemisphere (RH: temporo-parietal junction (TPJ)). Long lines induced a hemispheric asymmetry in processing (in favour of the RH) during this period that was absent in short lines. In experiment 4, bi-parietal tDCS (Left Anodal/Right Cathodal) induced a polarity-specific rightward shift in bias, highlighting the crucial role played by parietal cortex in the genesis of pseudoneglect. The opposite polarity (Left Cathodal/Right Anodal) did not induce a change in bias. The combined results from the four experiments of the current thesis provide converging evidence as to the crucial role played by the RH in the genesis of pseudoneglect and in the processing of visual input more generally. The reduction in pseudoneglect with decreased line length, increased time-on-task and healthy aging may be explained by a reduction in RH function, and hence contribution to task processing, induced by each of these modulations. I discuss how behavioural and neuroimaging studies of pseudoneglect (and its various modulators) can provide empirical data upon which accurate formal models of visuospatial attention networks may be based and further tested.