Spatio-temporal progression of the AEP P300 component using the cortical imaging technique

Ford, Martin R.; Sidman, Robert D.; Ramsey, Gloria

doi:10.1007/bf01234126

Cited by 7 publications

(2 citation statements)

References 10 publications

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“…One of the important goals of EEG/MEG research is the localisation of the underlying sources giving rise to the activities on the scalp [2]. Such a localisation is not possible using the scalp EEG/MEG data alone.…”

Section: Introductionmentioning

confidence: 99%

Cortical potential imaging using L-curve and GCV method to choose the regularisation parameter

Subramaniyam

Väisänen

Wendel

et al. 2010

Nonlinear Biomed Phys

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BackgroundThe electroencephalography (EEG) is an attractive and a simple technique to measure the brain activity. It is attractive due its excellent temporal resolution and simple due to its non-invasiveness and sensor design. However, the spatial resolution of EEG is reduced due to the low conducting skull. In this paper, we compute the potential distribution over the closed surface covering the brain (cortex) from the EEG scalp potential. We compare two methods – L-curve and generalised cross validation (GCV) used to obtain the regularisation parameter and also investigate the feasibility in applying such techniques to N170 component of the visually evoked potential (VEP) data.MethodsUsing the image data set of the visible human man (VHM), a finite difference method (FDM) model of the head was constructed. The EEG dataset (256-channel) used was the N170 component of the VEP. A forward transfer matrix relating the cortical potential to the scalp potential was obtained. Using Tikhonov regularisation, the potential distribution over the cortex was obtained.ResultsThe cortical potential distribution for three subjects was solved using both L-curve and GCV method. A total of 18 cortical potential distributions were obtained (3 subjects with three stimuli each – fearful face, neutral face, control objects).ConclusionsThe GCV method is a more robust method compared to L-curve to find the optimal regularisation parameter. Cortical potential imaging is a reliable method to obtain the potential distribution over cortex for VEP data.

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Section: Introductionmentioning

confidence: 99%

Cortical potential imaging using L-curve and GCV method to choose the regularisation parameter

Subramaniyam

Väisänen

Wendel

et al. 2010

Nonlinear Biomed Phys

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“…É importante estabelecer qual a influência dos componentes endógenos e exógenos do P300 e estudar as áreas envolvidas na aquisição destes, visto que a localização exata da origem do P300 ainda é uma incógnita, embora alguns estudos apontem que as regiões central e parietal participem na geração das respostas (Picton e Hillyard, 1974;Ford et al 1993;Takka e Stoki, 1998;Duncan et al 2009;Kalaiah e Shastri, 2016).…”

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Implicações da contribuição endógena e exógena para obtenção do P300 utilizando paradigma de omissão

Sena¹

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Aos meus amados pais, Antônio Sena e Carmen Lúcia, que nunca me deixaram desistir, mesmo nos momentos mais difíceis! Amo vocês! 4 AGRADECIMENTOSAos meus pais, Antônio de Sena e Carmen Lúcia, por estarem ao meu lado em cada conquista, em cada desafio (e sei que foram muitos!). Sem vocês eu não chegaria aqui! Obrigada pelo incentivo, pelas horas ao telefone, por aguentarem meus choros e continuarem firmes. Vocês são o meu sustento! Amo vocês.Às minhas amadas irmãs, Ingrid Sena e Luiza Bernardes, e ao meu cunhado-irmão, Gustavo Bernardes, Não tenho palavras para demonstrar tamanha gratidão. Mesmo com a distância e a saudade, vocês sempre estiveram presentes! Saibam que cada palavra, cada abraço, cada viagem para nos encontramos, cada sorriso, só me fizeram crescer e ter forças pra seguir os meus objetivos. Não poderia ter família melhor! Amo vocês! À minha babá, Maria Nascimento, por todo olhar sincero que me leva sempre à frente. Você é meu exemplo de coração puro! À minha querida orientadora, Prof.ª Dr.ª Eliane Schochat, a qual admiro imensamente por sua competência, inteligência, sabedoria, humildade e alegria. Não foram só ensinamentos acadêmicos durante esses quatro anos, e sim ensinamentos para vida, que guardarei com muito carinho e respeito. Foi uma honra tê-la como orientadora. Muito obrigada por ter acreditado em mim, inclusive quando nem eu mesma acreditei. Obrigada por todos os conselhos, por todas as boas risadas e todo o ensinamento!

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Optimal electrode placements for adequate spatial sampling of auditory evoked potentials

1994

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When evoked responses are used in clinical practice and research the measures that are most commonly considered are the latencies and amplitudes of EP components as measured at a single electrode site. Our recent studies have shown that multichannel recordings yield measures such as potential field asymmetry that may be as important as component latency and amplitude. The purpose of this short technical note is to suggest that electrode placement is critical for demonstrating interesting features of the potential field topography, specifically, bilateral, homologous generator sites. The cortical imaging technique (CIT) was used to analyze the averaged responses for a group of thirty normal young adults to a repeated tone and a random oddball tone. Recordings were obtained at 28 scalp recording sites which included 20 placements from the 10-20 system and eight additional sites. Simulated cortical maps were derived for four components, the N1 frequent response and the N2a, P3, and N3, rare minus frequent responses for three different electrode arrays. These arrangements included the full 28-channel array, a 20-channel array that excluded eight additional central sites, and a 20-channel array that included the eight additional sites and excluded peripheral sites. This study demonstrates that for these auditory paradigms, the placement of the electrodes is critically important for discriminating important features of the potential fields.

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Spatio-temporal progression of the AEP P300 component using the cortical imaging technique

Cited by 7 publications

References 10 publications

Cortical potential imaging using L-curve and GCV method to choose the regularisation parameter

Cortical potential imaging using L-curve and GCV method to choose the regularisation parameter

Implicações da contribuição endógena e exógena para obtenção do P300 utilizando paradigma de omissão

Optimal electrode placements for adequate spatial sampling of auditory evoked potentials

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