Adaptive-multi-reference least means squares filter

Adaptive filters are now becoming increasingly studied for their suitability in application to complex and non-stationary signals. Many adaptive filters utilise a reference input, that is used to form an estimate of the noise in the target signal. In this paper we discuss the application of adaptive filters for high electromyography contaminated electroencephalography data. We propose the use of multiple referential inputs instead of the traditional single input. These references are formed using multiple EMG sensors during an EEG experiment, each reference input is processed and ordered through firstly determining the Pearson’s r-squared correlation coefficient, from this a weighting metric is determined and used to scale and order the reference channels according to the paradigm shown in this paper. This paper presents the use and application of the Adaptive-Multi-Reference (AMR) Least Means Square adaptive filter in the domain of electroencephalograph signal acquisition.

Motor imagery data classification for BCI application using wavelet packet feature extraction

The noninvasive brain imaging modalities have provided us an extraordinary means for monitoring the working brain. Among these modalities, Electroencephalography (EEG) is the most widely used technique for measuring the brain signals under different tasks, due to its mobility, low cost, and high temporal resolution. In this paper we investigate the use of EEG signals in brain-computer interface (BCI) systems.

No evidence for mirror system dysfunction in schizophrenia from a multimodal TMS/EEG study

Dysfunctional mirror neuron systems have been proposed to contribute to the social cognitive deficits observed in schizophrenia. A few studies have explored mirror systems in schizophrenia using various techniques such as TMS (levels of motor resonance) or EEG (levels of mu suppression), with mixed results. This study aimed to use a novel multimodal approach (i.e. concurrent TMS and EEG) to further investigate mirror systems and social cognition in schizophrenia. Nineteen individuals with schizophrenia or schizoaffective disorder and 19 healthy controls participated. Single-pulse TMS was applied to M1 during the observation of hand movements designed to elicit mirror system activity. Single EEG electrodes (C3, CZ, C4) recorded brain activity. Participants also completed facial affect recognition and theory of mind tasks. The schizophrenia group showed significant deficits in facial affect recognition and higher level theory of mind compared to healthy controls. A significant positive relationship was revealed between mu suppression and motor resonance for the overall sample, indicating concurrent validity of these measures. Levels of mu suppression and motor resonance were not significantly different between groups. These findings indicate that in stable outpatients with schizophrenia, mirror system functioning is intact, and therefore their social cognitive difficulties may be caused by alternative pathophysiology.

EEG signal classification for BCI applications by wavelets and interval type-2 fuzzy logic systems

The nonlinear, noisy and outlier characteristics of electroencephalography (EEG) signals inspire the employment of fuzzy logic due to its power to handle uncertainty. This paper introduces an approach to classify motor imagery EEG signals using an interval type-2 fuzzy logic system (IT2FLS) in a combination with wavelet transformation. Wavelet coefficients are ranked based on the statistics of the receiver operating characteristic curve criterion. The most informative coefficients serve as inputs to the IT2FLS for the classification task. Two benchmark datasets, named Ia and Ib, downloaded from the brain-computer interface (BCI) competition II, are employed for the experiments. Classification performance is evaluated using accuracy, sensitivity, specificity and F-measure. Widely-used classifiers, including feedforward neural network, support vector machine, k-nearest neighbours, AdaBoost and adaptive neuro-fuzzy inference system, are also implemented for comparisons. The wavelet-IT2FLS method considerably dominates the comparable classifiers on both datasets, and outperforms the best performance on the Ia and Ib datasets reported in the BCI competition II by 1.40% and 2.27% respectively. The proposed approach yields great accuracy and requires low computational cost, which can be applied to a real-time BCI system for motor imagery data analysis.

Prosthetic motor imaginary task classification based on EEG quality assessment features

Brain Computer Interface (BCI) plays an important role in the communication between human and machines. This communication is based on the human brain signals. In these systems, users use their brain instead of the limbs or body movements to do tasks. The brain signals are analyzed and translated into commands to control any communication devices, robots or computers. In this paper, the aim was to enhance the performance of a brain computer interface (BCI) systems through better prosthetic motor imaginary tasks classification. The challenging part is to use only a single channel of electroencephalography (EEG). Arm movement imagination is the task of the user, where (s)he was asked to imagine moving his arm up or down. Our system detected the imagination based on the input brain signal. Some EEG quality features were extracted from the brain signal, and the Decision Tree was used to classify the participant's imagination based on the extracted features. Our system is online which means that it can give the decision as soon as the signal is given to the system (takes only 20 ms). Also, only one EEG channel is used for classification which reduces the complexity of the system which leads to fast performance. Hundred signals were used for testing, on average 97.4% of the up-down prosthetic motor imaginary tasks were detected correctly. This method can be used in many different applications such as: moving artificial limbs and wheelchairs due to it's high speed and accuracy.

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.

Realidade virtual na atividade cerebral: um estudo comparativo entre estados emocionais de adultos jovens e idosos

The association of Virtual Reality (VR) to clinical practice has become common in the recent years, showing to be an additional tool on health care, especially for elderly. Its use has been related to higher therapeutic adhesion levels and well being sensation. Such emotional based aspects are often observed by subjective tools of relative validity. This study analyzed the immediate effects of varied VR contexts balance training over emotional behavior, which was observed under peaks of maximum expression of EEG waves. Methodology: 40 individuals, divided in two groups, both gender, 20 young and 20 elderly, were submitted to a 60 minutes intervention, including balance training under VR. The first 25 minutes referred to initial evaluation, general orientation and cognitive assessment by the use of Mini Mental. The next ten minutes were designated to the avatar creation and tutorial video presentation. Through the following 20 minutes, the individuals from both groups were exposed to the exact same sequence of games under virtual contexts, while submitted to electroencephalography by Emotiv EPOC® focusing Adhesion, Frustration and Meditation states. The virtual interface was provided by the Nintendo® game, Wii Fit Plus, with the scenarios Balance Bubble (1), Penguin (2), Soccer (3), Tight Rope (4) and Table Tilt (5). Finally, a questionnaire of personal impressions was applied on the 5 minutes left. Results: data collected showed 64,7% of individuals from both groups presented higher concentration of adhesion peaks on Balance Bubble game. Both groups also presented similar behavior regarding meditation state, with marks close to 40%, each, on the same game, Table Tilt. There was divergence related to the frustration state, being the maximum concentration for the young group on the Soccer game (29,3%), whilst the elderly group referred highest marks to Tight Rope game (35,2%). Conclusion: Findings suggest virtual contexts can be favorable to adhesion and meditation emotional patterns induction, regardless age and for both sexes, whilst frustration seems to be more related to cognitive motor affordance, likely to be influenced by age. This information is relevant and contributes to the orientation for the best choice of games applied in clinical practice, as for other studies regarding this topic

Correlato eletroencefalográfico do estado vibracional

O estado vibracional (EV) é descrito como uma sensação de vibração intensa por todo o corpo, em que o sujeito se mantém num estado de relaxamento psicofisiológico que pode ser gerado de forma espontânea ou autoinduzida. Pessoas que aplicam esta técnica relatam alterações do estado mental e emocional, tais como: relaxamento, disposição, limpidez de pensamento, equilíbrio emocional, melhoria do raciocínio, bemestar, entre outros. Estas são, entretanto observações subjetivas, sendo a mensuração deste fenômeno uma lacuna e um desafio para a ciência. O objetivo desta pesquisa é explorar sistematicamente o estado vibracional no âmbito da neurociência. Desta forma, medidas eletroencefalográficas (EEG) foram utilizadas para observar se a sensação subjetiva de EV é acompanhada por mudanças na atividade elétrica cerebral. Além disso, para avaliar se o EV provoca algum efeito positivo em funções cognitivas como atenção e memória, foi utilizado um teste de reconhecimento de palavras antes e depois da aplicação da técnica de EV. Foram também aplicados questionários de dados gerais socioeconômicos e de saúde, do perfil de estados de humor, de qualidade do sono, além de inventários psicológicos. O foco inicial do trabalho foi a análise estatística dos dados de EEG, ficando as outras análises para uma etapa posterior. Dois grupos de voluntários foram analisados, o primeiro formado por 14 sujeitos que praticam a técnica de EV há pelo menos 10 anos (Grupo Experiente - GEXP), e o segundo formado por 11 sujeitos que nunca haviam realizado a técnica (Grupo Controle - GCONT). O GCONT obteve instruções sobre a técnica de EV antes dos experimentos. Foram realizadas análises estatísticas dos registros eletroencefalográficos, para comparar os grupos, em quatro condições: Basal, Relaxamento, Não-EV (período em que o sujeito está engajado na tarefa, mas ainda não percebe o EV) e EV (período em que o sujeito percebe o EV). Uma vez que os sujeitos do GCONT relataram não ter conseguido atingir a condição de EV propriamente, a comparação entre grupos foi feita apenas nas três condições, Basal, Relaxamento e Não-EV. Para isso, foi usado o teste de Mann-Whitney U com um limiar estatístico de p<0,05. De forma geral, o GEXP apresentou maior potência na banda de frequência alfa 2 (9,5-11,0 Hz) em todas as condições. Durante o período Não-EV, o GEXP também apresentou uma maior potência na banda de frequência alfa 3 (11,5-13,0 Hz) na região temporal esquerda, e gama 1 (30,5-55,0 Hz) e gama 2 (65,0-80,0 Hz) em regiões central, parietal e temporal esquerda, mas menor potência na banda de frequência teta 1 (3,5 - 5,0 Hz), em regiões centro-parietais. Para a análise estatística intragrupo, entre as condições, utilizou-se o teste estatístico Wilcoxon pareado. Observaram-se diferenças significativas (p<0,005), principalmente em regiões centrais, em teta 1 (3,5-5,0 Hz), sendo maior no Relaxamento, quando comparado com as condições Basal e Não-EV, no GCONT, e com o Não-EV e EV, no GEXP. No GEXP, a potência de gama 1 (30,5-55,0 Hz) e gama 2 (65,0-80,0 Hz) foi difusamente maior durante o EV, se comparado às outras três condições. Para o GCONT, apenas a condição Basal apresentou maior potência de gama 1 (30,5-55,0 Hz) e gama 2 (65,0- 80,0 Hz), se comparado com o Relaxamento. O aumento de teta 1 no Relaxamento, principalmente no GCONT, pode estar associado a uma maior sonolência deste grupo durante esta condição. Já o aumento de alfa 2 durante o Não-EV e o EV, pode estar associado com processos de atenção e cognição (DOLPPERMAYR et al., 2002; FELL et al., 2010; KLIMESCH et al., 1999; RAY E COLE, 1985). Por outro lado, o aumento da potência de gama em sujeitos experientes na técnica de EV encontrado aqui e em trabalhos anteriores, em meditadores experientes (FELL et al., 2010; LEHMANN et al., 2001; LUTZ et al., 2004), poderia estar associado a alterações nos processos mentais e cognitivos destes praticantes, tais como atenção, memória operacional, aprendizagem e percepção consciente embora, análises adicionais devam ser realizadas para excluir a possibilidade de interferência de artefatos musculares nos dados de EEG. Estes resultados suscitam a hipótese de que no engajamento da tarefa do EV e durante o EV, os sujeitos do GEXP conseguem manter-se em um estado de alerta, porém com maior nível de relaxamento e concentração. Uma inspeção mais detalhada dos dados, além de outros experimentos com diferentes protocolos, um maior número de sujeitos e pesquisas longitudinais são necessários para que testar esta hipótese

Níveis de sedação determinados pela clonidina e midazolam na medicação pré-anestésica: avaliação clínica e eletroencefalográfica bispectral

JUSTIFICATIVA E OBJETIVOS: Verificar o efeito sedativo da clonidina, um a2-agonista, e do midazolam, um benzodiazepínico, quando utilizados na medicação pré-anestésica, empregando-se avaliação clínica e eletroencefalográfica bispectral. MÉTODO: Após aprovação institucional e consentimento escrito fornecido, 45 pacientes de 18 a 65 anos, estado físico ASA I, foram aleatoriamente distribuídos nos grupos placebo (P), clonidina (C) ou midazolam (M), em que receberam, respectivamente placebo, 150 µg de clonidina ou 15 mg de midazolam por via oral, 60 minutos antes da indução da anestesia (n = 15 por grupo). A monitorização constituiu-se de eletrocardiograma (D II), pressão arterial não invasiva, freqüência cardíaca, saturação de pulso de oxigênio, freqüência respiratória, temperatura axilar e da sala de cirurgia e eletroencefalograma bispectral para determinação do índice bispectral (BIS). Esses atributos e a escala de sedações (1 - ansioso, 2 - calmo, 3 - sonolento, 4 - dormindo com reflexo, 5 - dormindo sem reflexo) foram obtidos aos 0 (M0), 15 (M15), 30 (M30), 40 (M40), 50 (M50) e 60 (M60) minutos após a medicação. RESULTADOS: Nos grupos não houve alteração significante dos parâmetros respiratórios, hemodinâmicos e de temperatura. Houve diferença significante entre os grupos na ES (M60: M=C>P) e no BIS (M50 e M60: M=C>P). CONCLUSÕES: Nas condições utilizadas, a clonidina e o midazolam determinaram níveis de sedação adequados e semelhantes na medicação pré-anestésica de pacientes estado físico ASA I, quando avaliados pela escala de sedação e pelo índice bispectral, sem determinarem alterações hemodinâmicas e respiratórias.

Topography-specific spindle frequency changes in Obstructive Sleep Apnea

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Evolução neurológica e eletrencefalográfica em crianças após meningencefalites purulentas

Twenty children with diagnosed meningitis were available for prospective study; each was submitted to neurological and electroencephalographic examination, Distractability Quotient (Gesell) and Intelligence Quotient (Raven) tests. Patients were followed from 6 months to 3 years after the acute phase of the disease. There is a statistically significant difference between the D.Q of post-meningitic children and the D.Q. of non meningitic controls of the same social class and ages, when the onset of illness was before 30 months of age. No statistically significant correlation was found between the D.Q. and the patient's length of hospitalization or the first cerebrospinal fluid protein level. There is a possibility that significant correlation between the D.Q. and age at onset of illness may be observed by studying a larger number of patients. No statistically significant difference was found between the I.Q. of post-meningitic children and controls when the onset of illness was after age 4.

Cell-mediated and humoral immunity in West syndrome

The immunological status of five children with West syndrome consequent to previous cerebral lesions was investigated. Three children had West syndrome and two were in transition from West to Lennox-Gastaut syndrome. All of them showed cellular immunological deficiencies in the following tests: sensitization to DNCB, intracutaneous reaction to PHA, inhibition of leukocyte migration, blastic transformation of lymphocytes, T and B lymphocytes in peripheral blood and levels of serum immunoglobulins. These immunological deficiencies, of different degrees of severity, were associated with frequent infections in these children. A possible association between the immunological deficiencies and autoimmunity is discussed.