Este trabalho foi possível graças a doações apoiados pelo EUA Escritório de Pesquisa do Exército (W911NF-07-1-0415 (GS), W911NF-08-1-0216 (GS)) eo (NIH / NIBIB EB006356 (GS) e EB00856 ( JRW e GS)). Os autores agradecem Sean Austin para o módulo SigfriedSigProcLAVA, e Griffin Milsap para assistência técnica.

1. Localização eletrodo <ol><li> Coletar uma pré-operatório T1 ressonância magnética estrutural (1.5T ou 3T) da cabeça do paciente: 256 x 256 pixels por fatia, campo de visão completo, sem interpolação, 1 fatia de largura mm, de preferência sagitais secções transversais. </li><li> Observe a implantação cirúrgica das grades e fitas. Recolha de fotografias digitais dos eletrodos in situ, e notas do neurocirurgião sobre os locais das redes implantadas e tiras. </li><li> Colete os pós-operatórios crânio radiografias e tomografias cerebrais TC em alta resolução (1 fatia largura mm, pele a pele, sem ângulo). </li><li> Criar um modelo tridimensional cortical do cérebro do paciente utilizando a ressonância magnética pré-operatória, e co-registrá-lo com os pós-grid imagens de implantação do CT. Nós usamos o pacote de software CURRY para este fim, e exportar a estrutura 3D cortical e eletrodo coordenadas em formato MATLAB. De MATLAB, nós exportamos um filme que mostra os eletrodos mapeados para o cérebro. Nós também map o eletrodo coordena a áreas de Brodmann padrão utilizando um sistema automatizado Talairach atlas. </li><li> Revise as informações a partir do modelo 3D, X-ray imagens, fotografias e notas. Finalize um esquema de numeração para os eletrodos, e trabalho com os técnicos do hospital para garantir que os eletrodos são corrigidas para o divisor de caixas seguindo esta numeração exata. Também criar um layout esquemático para traçar os eletrodos em duas dimensões, de tal forma que todas as posições de eletrodos pode ser claramente distinguido sem sobreposição. Se você está indo para executar Sigfried (ver secção 4), salvar essas coordenadas bidimensionais como um fragmento parâmetro BCI2000, no formato exigido pelo parâmetro ElectrodeLocations. Finalmente, selecione dois locais de eletrodos que são susceptíveis de ser electrocorticographically &quot;silenciosa&quot;, ou seja, eles não estão perto do córtex eloqüente presumida, para usar como um solo inicial e de referência (preparar os g.USBamps por remendar a referência para os soquetes azuis, e no soloàs tomadas de amarelo, da extrema direita de cada unidade). </li></ol> 2. Hardware e Configuração do Software <ol><li> Garantir que as especificações do computador são adequados para lidar com os requisitos de processamento do experimento. Um processador multi-core vai provavelmente ser necessário para acomodar as exigências de tempo real de aquisição e processamento de dados, gravação de vídeo, e outras tarefas necessárias. Para a gravação e análise em tempo real de 128 canais em 1200 Hz, usamos uma máquina 3-GHz quad-core com 4 GB de RAM. Os amplificadores devem ser ligados a um controlador USB dedicado, distinto do controlador (s) utilizado por outros de largura de banda periféricos, como discos externos e câmaras (isto pode ser verificado por meio do Gerenciador de Dispositivos do sistema). Finalmente, deve haver espaço em disco suficiente para armazenar até 5 MB por segundo de dados experimentais, e um sistema de arquivamento e backup-lo. </li><li> Configure o equipamento de pesquisa (amplificadores, computador, tela experimentador, keyboard, alto-falantes, microfone e câmera) em um carro único, que pode ser rapidamente rolou dentro e fora do quarto do paciente, com apenas um único cabo de alimentação para ligar na parede. Para mover o computador de sala para sala, use a função de hibernação antes de desligar. A tela do paciente vídeo deve estar em uma mesa bandeja separada ou braço monitor. Considerando que o paciente está propenso a convulsões, certifique-se que todo o equipamento pode ser rolada para fora do caminho rapidamente no caso de pessoal médico precisa ter acesso imediato ao paciente. O equipamento também deve ser desinfectado com toalhetes anti-sépticas antes e após a sua utilização no quarto do paciente. </li><li> Tempo com o paciente é limitado, e todos os procedimentos precisam ser robusta e otimizada para fazer o melhor uso desse tempo. A este respeito, a flexibilidade e robustez do BCI2000 são características valiosas. Certifique-se que os experimentos podem ser lançados com o toque de um botão. No caso de BCI2000, use um arquivo de lote para iniciar a combinação certa deBCI2000 módulos automaticamente, com as necessárias de linha de comando. O operador e módulos gUSBampSource são necessárias, juntamente com o SignalProcessing apropriado e módulos de aplicativos para a sua experiência particular. Use o recurso de scripts BCI2000 operador para garantir que todos os arquivos de parâmetros necessários são carregados automaticamente, incluindo os que são específicos para esse paciente, tais como o número de eletrodos e os respectivos nomes e posições. O objectivo da presente automação é o de minimizar o número de passos manuais pelo experimentador, e, assim, as possibilidades de erro. O software e os seus parâmetros precisam ter sido concluído e testado (talvez com um assunto EEG), pelo menos, uma ou duas semanas antes da implantação. Também é altamente recomendável realizar uma &quot;seca&quot; correria do dia antes da primeira sessão experimental, incluindo todos os novos pacientes parâmetros específicos. </li></ol> 3. Sessão Experimental Set-up <ol><li> Escolha o seu momento parasugerindo gravações experimentais para o paciente, dando-lhes notar no início do dia, e novamente 15 minutos antes de começar. Contornar Visitantes, refeições, sonecas, procedimentos médicos, e estado do paciente, físico, emocional e cognitivo. É importante estabelecer um relacionamento com o pessoal médico no chão, para ajudar a otimizar o tempo e duração das gravações. </li><li> Roda o equipamento em local, conectar-se à tomada, vire na tela do sujeito de vídeo e conectá-lo ao computador, e não-hibernar o computador. </li><li> Lançamento BCI2000. Com o parâmetro VisualizeSource habilitado, pressione Definir Config. O espectador sinal abre, permitindo-lhe avaliar a qualidade do sinal ECoG. Botão direito do mouse sobre o espectador e definir o filtro passa-alta para um corte de 5 Hz. (Essa configuração filtro afetará somente a visualização, e não uma coleção de dados.) </li><li> Verifique se há interferência de ruído na linha de alimentação: A ativação de um filtro de entalhe no visualizador (a 50 Hz ou 60 Hz,dependendo de qual país você está) fazer uma grande diferença para o sinal? Se for assim, tentar reduzir esta removendo os não utilizados cabos cross-falantes, ou na identificação e remoção de outras fontes de interferência de poder. Altere os eletrodos usados ​​para referência e terra se necessário. </li><li> Se você estiver usando um olho-tracker, calibrá-lo usando o software de calibração fornecido pelo fabricante. O módulo de fonte BCI2000 deve ser compilado com a extensão EyetrackerLogger incluído, e deve ser lançado com o - LogEyetracker = 1 flag ativado, de forma que o olho de rastreamento de dados podem ser adquiridos em sincronia com os sinais ECOG. </li><li> Para evitar distrações e interrupções, e para minimizar a interferência de sinal possível, garantir que TVs, rádios e telefones celulares estão desligados. </li><li> Dê instruções precisas ao paciente para a experiência que você está prestes a ser executado. Dependendo da tarefa do sujeito, preparado slides do PowerPoint que mostram a tarefa, a postura sugerida, etc, pode ser útil. </li&gt; <li> Pressione Iniciar no operador para iniciar o experimento. Cada vez que você pressionar iniciar ou retomar, um novo arquivo será criado para evitar a substituição de dados anteriores, eo arquivo será inicializado com uma cópia de todos os valores dos parâmetros. Os dados brutos, então, ser transmitidos automaticamente para o arquivo, juntamente com os marcadores de eventos, até que você pressione suspender ou os acabamentos de execução experimentais. </li><li> Durante toda a sessão, monitorar o comportamento do paciente e os sinais ECOG para convulsões suspeitos, e estar pronto para responder às instruções do pessoal médico. </li></ol> 4. Sessão Experimental Exemplo: Mapeamento Clínica Sigfried com BCI2000 <ol><li> Preparação: Antes do início da sessão, você terá de ter preparado um arquivo model.ini que contém as configurações de processamento de sinais Sigfried usará para construir um modelo e um arquivo prm (ou fragmentos separados com mobilidade reduzida.) Que contém os parâmetros que BCI2000. o módulo SigfriedSigProcserá utilizado para visualização em tempo real. Dois parâmetros principais são ElectrodeLocations, especificando o layout 2-D que você escolheu para eletrodos especiais deste paciente, e ElectrodeCondition, que especifica qual diferentes tarefas serão mapeados em que condições. Neste exemplo, estamos usando o módulo StimulusPresentation simples para comunicar instruções ao paciente, de modo que o parâmetro de estímulos também precisa ser adaptada para as tarefas que pretende executar. </li><li> Passo Base: Iniciar os módulos DummySignalProcessing gUSBampSource e StimulusPresentationTask, configurados para a atividade da amostra ECOG de todas as grades e as tiras em 1200Hz, passa-alta-filtrada em 0,1 Hz. Instrua o assunto para relaxar e permanecer imóvel com os olhos abertos. Grave 6 minutos de atividade de base, sob iluminação confortável em um ambiente silencioso. </li><li> Passo de modelagem: Inicie a ferramenta data2model_gui e extrair características em 5 caixas Hz from Hz 70-110 utilizando o método de entropia máxima para cada 500 ms de dados. Pressione Montar o Modelo para construir um modelo probabilístico das características espectrais selecionados utilizando misturas Gaussianas. </li><li> Mapeamento Passo: Inicie o gUSBampSource, SigfriedSigProcLAVA e módulos StimulusPresentationTask e configurar o Operador para carregar o modelo probabilístico, o modelo cortical, e 2 - e as coordenadas 3-dimensionais do eletrodo. Depois de instruir o assunto, iniciar o processo de mapeamento. Neste processo, um sujeito irá executar cada tarefa durante 10 segundos de cada vez, em cada um dos 5 repetições. Durante cada tarefa, Sigfried detecta tarefa relacionada à atividade ECoG que é apresentado em 2 continuamente actualizada - e 3-dimensionais mapas do córtex eloqüente. Nos mapas de 2-dimensionais, o tamanho e vermelhidão de cada círculo representa a sua importância neste tarefa específica. Especificamente, o tamanho de cada círculo é proporcional à fracção da variância total de sinal na ba gamand que seja contabilizada pela tarefa. Esta estatística é conhecido como o coeficiente de determinação, ou r 2. É no intervalo (0,1) e na configuração de corrente um valor de 0,1 podem ser geralmente considerada significativa. A escala dos círculos a um máximo de valores de r 2 pode ser controlado usando os controles deslizantes (ver Figura 1C). Nos mapas 3-dimensional, os valores de r 2 são mapeados para diferentes cores, em vez de tamanhos de círculos. </li></ol> 5. Os resultados representativos A Figura 1 mostra resultados representativos, a partir de uma sessão de mapeamento Sigfried em um paciente. O paciente era um 28-year-old mulher destro que tinha epilepsia localização-relacionada intratável de esquerda-temporal início, com generalização secundária. 120 eletrodos foram implantados eletrocorticográfica subdurally sobre o lado esquerdo frontal, parietal e córtex temporal. Um laterais de raios-x (painel A) e uma fotografia intra-operatória (painel B) ilustram oconfiguração de uma grade frontal com 40 eletrodos, uma grade maior densidade temporal com 68 eletrodos, e três faixas cada uma das 4 eletrodos. A partir das apreensões registradas, um neurologista localizados os focos epilépticos e determinou que era necessária a ressecção cirúrgica do lobo temporal esquerdo, poupando córtex linguagem eloquente. Isto foi realizado com sucesso: em 8 meses após a ressecção, o paciente foi avaliado como livre de crises e sem déficits neurológicos. O procedimento de mapeamento passivo Sigfried córtex identificou envolvidos em função da linguagem, contrastando tarefa mudanças relacionadas durante tarefas auditivas. Os resultados foram apresentados em duas interfaces: uma interface de 2-dimensional (painel C), o que torna a disposição dos eléctrodos clara, e uma interface de 3-dimensional anatomicamente correcta-(painel D). Da esquerda para a direita o contraste painéis ouvir falado base vs linguagem (voz), ouvindo tons vs basais (tons), e ouvir a língua falada vs lisaperto, para tons (idioma). A última delas é incluído como um esboço da função auditiva que é específico para a linguagem receptiva. Os resultados da condição VOZ mostrou boa concordância com os locais em que a ECS interromperam a função da linguagem receptiva neste paciente (marcado como círculos amarelos no painel A). <img alt="A Figura 1" src="/files/ftp_upload/3993/3993fig1.jpg" /> Figura 1. Resultados exemplo de um paciente. O painel A mostra um lateral x-ray. Círculos amarelos marcar os eletrodos envolvidos na linguagem receptiva, posteriormente identificados por mapeamento estimulação electrocortical. O painel B é uma fotografia tirada durante a implantação. O painel C mostra os resultados de mapeamento Sigfried em um esquema bidimensional esquemática: o tamanho e vermelhidão de cada disco representa o significado do envolvimento de cada eléctrodo na tarefa, em relação à linha de base. Em painel D, a mesma estatística é mapeado para cor em um Rende modelo tridimensional do cérebrovermelhos de ressonância magnética do paciente.

<ol>
	<li>Miller, K. J. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Spectral+Changes+in+Cortical+Surface+Potentials+during+Motor+Movement.">Spectral Changes in Cortical Surface Potentials during Motor Movement.</a> Journal of Neuroscience. 27, 2424-2424 (2007).</li><li>Chang, E. F. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Categorical+speech+representation+in+human+superior+temporal+gyrus.">Categorical speech representation in human superior temporal gyrus.</a> Nature Neuroscience. 13, 1428-1428 (2010).</li><li>Gunduz, A. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Neural+correlates+of+visual-spatial+attention+in+electrocorticographic+signals+in+humans.">Neural correlates of visual-spatial attention in electrocorticographic signals in humans.</a> Frontiers in Human Neuroscience. 5, (2011).</li><li>Pei, X. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Spatiotemporal+dynamics+of+electrocorticographic+high+gamma+activity+during+overt+and+covert+word+repetition.">Spatiotemporal dynamics of electrocorticographic high gamma activity during overt and covert word repetition.</a> NeuroImage. 54, 2960 (2010).</li><li>Crone, N. E. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=High-frequency+gamma+oscillations+and+human+brain+mapping+with+electrocorticography.">High-frequency gamma oscillations and human brain mapping with electrocorticography.</a> Progress in Brain Research. 159, 275 (2006).</li><li>Brunner, P. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Rapid+communication+with+a+"P300"+matrix+speller+using+electrocorticographic+signals+(ECoG).">Rapid communication with a "P300" matrix speller using electrocorticographic signals (ECoG).</a> Frontiers in Neuroprosthetics. 5, (2010).</li><li>Leuthardt, E. C. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=A+brain-computer+interface+using+electrocorticographic+signals+in+humans.">A brain-computer interface using electrocorticographic signals in humans.</a> Journal of Neural Engineering. 1, (2004).</li><li>Schalk, G. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=BCI2000:+A+General-Purpose+Brain-Computer+Interface+(BCI)+System.">BCI2000: A General-Purpose Brain-Computer Interface (BCI) System.</a> IEEE Transactions in Biomedical Engineering. 51, 1034 (2004).</li><li>Schalk, G., Mellinger, J. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=.">.</a> A Practical Guide to Brain-Computer Interfacing with BCI2000. , (2010).</li><li>Brunner, P. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=A+practical+procedure+for+real-time+functional+mapping+of+eloquent+cortex+using+electrocorticographic+signals+in+humans.">A practical procedure for real-time functional mapping of eloquent cortex using electrocorticographic signals in humans.</a> Epilepsy and Behavior. 15, 278 (2009).</li></ol>

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A coleta de dados para a pesquisa ECOG requer uma estreita colaboração entre clínicos e pesquisadores, com uma grande equipe multi-disciplinar a resolução de problemas em neurologia clínica, neurocirurgia, neurociência básica, ciência da computação e engenharia elétrica. A recompensa é que os sinais ECOG, e em amplitudes particular na gama de alta gama de frequências (70-110Hz), são altamente valiosos. Não só eles fornecem uma visão científica sobre os correlatos neurais da cognitiva, sensorial e moto...

<ol><li> 8 x 16 canais de amplificadores g.USBamp ( <a href="http://gtec.at" target="_blank">http://gtec.at</a> ) </li><li> 2 x canal 64-caixa break-out (divisor cabeça-box) </li><li> Cabo de conexão 2 x de divisor para sistema de clínica </li><li> Cabo de conexão 2 x de divisor de quatro g.USBamps </li><li> 2 x adaptador de energia de quatro vias para quatro g.USBamps </li><li> 2 x adaptador de sincronização de quatro vias para sincronizar quatro g.USBamps </li><li> 1 x cabo de sincronização para sincronizar dois conjuntos de quatro g.USBamps </li><li> 1 x braçadeira equalização Potencial + cabo para g.USBamp </li><li> 18 x Touchproof cabos jumper </li><li> 2 x Quatro vias Hubs USB 2.0 </li><li> Filtro de linha </li><li> Laptop ou computador de mesa (ver secção 2.1) </li><li> Carrinho, seguro móvel para todos os acima </li><li> Eyetracker (ou ordinário monitor LCD) para o paciente </li><li> Mesa bandeja móvel para o monitor de pacientes </li><li> Outros periféricos (joysticks etc) para as respostas comportamentais do paciente </li><li> BCI2000 software </li><li> CUrry software </li><li> Software MATLAB </li></ol>

recording human electrocorticographic (ecog) signals for neuroscientific research and real-time functional cortical mapping

Neuroimaging studies of human cognitive, sensory, and motor processes are usually based on noninvasive techniques such as electroencephalography (EEG), magnetoencephalography or functional magnetic-resonance imaging. These techniques have either inherently low temporal or low spatial resolution, and suffer from low signal-to-noise ratio and/or poor high-frequency sensitivity. Thus, they are suboptimal for exploring the short-lived spatio-temporal dynamics of many of the underlying brain processes. In contrast, the invasive technique of electrocorticography (ECoG) provides brain signals that have an exceptionally high signal-to-noise ratio, less susceptibility to artifacts than EEG, and a high spatial and temporal resolution (i.e., &lt;1 cm/&lt;1 millisecond, respectively). ECoG involves measurement of electrical brain signals using electrodes that are implanted subdurally on the surface of the brain. Recent studies have shown that ECoG amplitudes in certain frequency bands carry substantial information about task-related activity, such as motor execution and planning1, auditory processing2 and visual-spatial attention3. Most of this information is captured in the high gamma range (around 70-110 Hz). Thus, gamma activity has been proposed as a robust and general indicator of local cortical function1-5. ECoG can also reveal functional connectivity and resolve finer task-related spatial-temporal dynamics, thereby advancing our understanding of large-scale cortical processes. It has especially proven useful for advancing brain-computer interfacing (BCI) technology for decoding a user's intentions to enhance or improve communication6 and control7. Nevertheless, human ECoG data are often hard to obtain because of the risks and limitations of the invasive procedures involved, and the need to record within the constraints of clinical settings. Still, clinical monitoring to localize epileptic foci offers a unique and valuable opportunity to collect human ECoG data. We describe our methods for collecting recording ECoG, and demonstrate how to use these signals for important real-time applications such as clinical mapping and brain-computer interfacing. Our example uses the BCI2000 software platform8,9 and the SIGFRIED10 method, an application for real-time mapping of brain functions. This procedure yields information that clinicians can subsequently use to guide the complex and laborious process of functional mapping by electrical stimulation.
Prerequisites and Planning:
Patients with drug-resistant partial epilepsy may be candidates for resective surgery of an epileptic focus to minimize the frequency of seizures. Prior to resection, the patients undergo monitoring using subdural electrodes for two purposes: first, to localize the epileptic focus, and second, to identify nearby critical brain areas (i.e., eloquent cortex) where resection could result in long-term functional deficits. To implant electrodes, a craniotomy is performed to open the skull. Then, electrode grids and/or strips are placed on the cortex, usually beneath the dura. A typical grid has a set of 8 x 8 platinum-iridium electrodes of 4 mm diameter (2.3 mm exposed surface) embedded in silicon with an inter-electrode distance of 1cm. A strip typically contains 4 or 6 such electrodes in a single line. The locations for these grids/strips are planned by a team of neurologists and neurosurgeons, and are based on previous EEG monitoring, on a structural MRI of the patient's brain, and on relevant factors of the patient's history. Continuous recording over a period of 5-12 days serves to localize epileptic foci, and electrical stimulation via the implanted electrodes allows clinicians to map eloquent cortex. At the end of the monitoring period, explantation of the electrodes and therapeutic resection are performed together in one procedure.
In addition to its primary clinical purpose, invasive monitoring also provides a unique opportunity to acquire human ECoG data for neuroscientific research. The decision to include a prospective patient in the research is based on the planned location of their electrodes, on the patient's performance scores on neuropsychological assessments, and on their informed consent, which is predicated on their understanding that participation in research is optional and is not related to their treatment. As with all research involving human subjects, the research protocol must be approved by the hospital's institutional review board. The decision to perform individual experimental tasks is made day-by-day, and is contingent on the patient's endurance and willingness to participate. Some or all of the experiments may be prevented by problems with the clinical state of the patient, such as post-operative facial swelling, temporary aphasia, frequent seizures, post-ictal fatigue and confusion, and more general pain or discomfort.
At the Epilepsy Monitoring Unit at Albany Medical Center in Albany, New York, clinical monitoring is implemented around the clock using a 192-channel Nihon-Kohden Neurofax monitoring system. Research recordings are made in collaboration with the Wadsworth Center of the New York State Department of Health in Albany. Signals from the ECoG electrodes are fed simultaneously to the research and the clinical systems via splitter connectors. To ensure that the clinical and research systems do not interfere with each other, the two systems typically use separate grounds. In fact, an epidural strip of electrodes is sometimes implanted to provide a ground for the clinical system. Whether research or clinical recording system, the grounding electrode is chosen to be distant from the predicted epileptic focus and from cortical areas of interest for the research. Our research system consists of eight synchronized 16-channel g.USBamp amplifier/digitizer units (g.tec, Graz, Austria). These were chosen because they are safety-rated and FDA-approved for invasive recordings, they have a very low noise-floor in the high-frequency range in which the signals of interest are found, and they come with an SDK that allows them to be integrated with custom-written research software. In order to capture the high-gamma signal accurately, we acquire signals at 1200Hz sampling rate-considerably higher than that of the typical EEG experiment or that of many clinical monitoring systems. A built-in low-pass filter automatically prevents aliasing of signals higher than the digitizer can capture. The patient's eye gaze is tracked using a monitor with a built-in Tobii T-60 eye-tracking system (Tobii Tech., Stockholm, Sweden). Additional accessories such as joystick, bluetooth Wiimote (Nintendo Co.), data-glove (5th Dimension Technologies), keyboard, microphone, headphones, or video camera are connected depending on the requirements of the particular experiment.
Data collection, stimulus presentation, synchronization with the different input/output accessories, and real-time analysis and visualization are accomplished using our BCI2000 software8,9. BCI2000 is a freely available general-purpose software system for real-time biosignal data acquisition, processing and feedback. It includes an array of pre-built modules that can be flexibly configured for many different purposes, and that can be extended by researchers' own code in C++, MATLAB or Python. BCI2000 consists of four modules that communicate with each other via a network-capable protocol: a Source module that handles the acquisition of brain signals from one of 19 different hardware systems from different manufacturers; a Signal Processing module that extracts relevant ECoG features and translates them into output signals; an Application module that delivers stimuli and feedback to the subject; and the Operator module that provides a graphical interface to the investigator.
A number of different experiments may be conducted with any given patient. The priority of experiments will be determined by the location of the particular patient's electrodes. However, we usually begin our experimentation using the SIGFRIED (SIGnal modeling For Realtime Identification and Event Detection) mapping method, which detects and displays significant task-related activity in real time. The resulting functional map allows us to further tailor subsequent experimental protocols and may also prove as a useful starting point for traditional mapping by electrocortical stimulation (ECS).
Although ECS mapping remains the gold standard for predicting the clinical outcome of resection, the process of ECS mapping is time consuming and also has other problems, such as after-discharges or seizures. Thus, a passive functional mapping technique may prove valuable in providing an initial estimate of the locus of eloquent cortex, which may then be confirmed and refined by ECS. The results from our passive SIGFRIED mapping technique have been shown to exhibit substantial concurrence with the results derived using ECS mapping10.
The protocol described in this paper establishes a general methodology for gathering human ECoG data, before proceeding to illustrate how experiments can be initiated using the BCI2000 software platform. Finally, as a specific example, we describe how to perform passive functional mapping using the BCI2000-based SIGFRIED system.

Watch this Scientific Journal Video about Recording Human Electrocorticographic ECoG Signals for Neuroscientific Research and Real-time Functional Cortical Mapping at JoVE.com

Recording Human Electrocorticographic ECoG Signals for Neuroscientific Research and Real-time Functional Cortical Mapping

Nós apresentamos um método de coleta de sinais eletrocorticográfica para fins de pesquisa de seres humanos que são submetidos a monitorização invasiva epilepsia. Nós mostramos como usar a plataforma de software BCI2000 para coleta de dados, processamento de sinal e apresentação do estímulo. Especificamente, nós demonstramos Sigfried, uma ferramenta BCI2000 baseado em tempo real de mapeamento cerebral funcional.

Gravação Humanos eletrocorticográfica (ECOG) Sinais para pesquisa neurocientífica e mapeamento em tempo real Funcional Cortical

Neuroimaging studies of human cognitive, sensory, and motor processes are usually based on noninvasive techniques such as electroencephalography (EEG), ...

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Research

JoVE Journal

Neuroscience

Recording Human Electrocorticographic (ECoG) Signals for Neuroscientific Research and Real-time Functional Cortical Mapping

25.5K visualizações.  New York State Department of Health. Nós apresentamos um método de coleta de sinais eletrocorticográfica para fins de pesquisa de seres humanos que são submetidos a monitorização invasiva epilepsia. Nós mostramos como usar a plataforma de software BCI2000 para coleta de dados, processamento de sinal e apresentação do estímulo. Especificamente, nós demonstramos Sigfried, uma ferramenta BCI2000 baseado em tempo real de mapeamento cerebral funcional.

Vídeo: Recording Human Electrocorticographic ECoG Signals for Neuroscientific Research and Real-time Functional Cortical Mapping

Functional Mapping with Simultaneous MEG and EEG

We use magnetoencephalography (MEG) and electroencephalography (EEG) to locate and determine the temporal evolution in brain areas involved in the processing of simple sensory stimuli. We will use somatosensory stimuli to locate the hand somatosensory areas, auditory stimuli to locate the auditory cortices, visual stimuli in four quadrants of the visual field to locate the early visual areas. These type of experiments are used for functional mapping in epileptic and brain tumor patients to locate eloquent cortices. In basic neuroscience similar experimental protocols are used to study the orchestration of cortical activity. The acquisition protocol includes quality assurance procedures, subject preparation for the combined MEG/EEG study, and acquisition of evoked-response data with somatosensory, auditory, and visual stimuli. We also demonstrate analysis of the data using the equivalent current dipole model and cortically-constrained minimum-norm estimates. Anatomical MRI data are employed in the analysis for visualization and for deriving boundaries of tissue boundaries for forward modeling and cortical location and orientation constraints for the minimum-norm estimates.

We use magnetoencephalography (MEG) and electroencephalography (EEG) to map brain areas involved in the processing of simple sensory stimuli.

Mapeamento funcional com MEG e EEG em simultâneo

We use magnetoencephalography (MEG) and electroencephalography (EEG) to locate and determine the temporal evolution in brain areas involved in the ...

Neurociência

Correlating Behavioral Responses to fMRI Signals from Human Prefrontal Cortex: Examining Cognitive Processes Using Task Analysis

The aim of this methods paper is to describe how to implement a neuroimaging technique to examine complementary brain processes engaged by two similar tasks. Participants' behavior during task performance in an fMRI scanner can then be correlated to the brain activity using the blood-oxygen-level-dependent signal. We measure behavior to be able to sort correct trials, where the subject performed the task correctly and then be able to examine the brain signals related to correct performance. Conversely, if subjects do not perform the task correctly, and these trials are included in the same analysis with the correct trials we would introduce trials that were not only for correct performance. Thus, in many cases these errors can be used themselves to then correlate brain activity to them. We describe two complementary tasks that are used in our lab to examine the brain during suppression of an automatic responses: the stroop1 and anti-saccade tasks. The emotional stroop paradigm instructs participants to either report the superimposed emotional 'word' across the affective faces or the facial 'expressions' of the face stimuli1,2. When the word and the facial expression refer to different emotions, a conflict between what must be said and what is automatically read occurs. The participant has to resolve the conflict between two simultaneously competing processes of word reading and facial expression. Our urge to read out a word leads to strong 'stimulus-response (SR)' associations; hence inhibiting these strong SR's is difficult and participants are prone to making errors. Overcoming this conflict and directing attention away from the face or the word requires the subject to inhibit bottom up processes which typically directs attention to the more salient stimulus. Similarly, in the anti-saccade task3,4,5,6, where an instruction cue is used to direct only attention to a peripheral stimulus location but then the eye movement is made to the mirror opposite position. Yet again we measure behavior by recording the eye movements of participants which allows for the sorting of the behavioral responses into correct and error trials7 which then can be correlated to brain activity. Neuroimaging now allows researchers to measure different behaviors of correct and error trials that are indicative of different cognitive processes and pinpoint the different neural networks involved.

The goal of our research is to correlate behavior to brain activity. Accurate behavioral measures and imaging techniques allow us to elucidate brain-behavior relationships.

Correlacionando as respostas comportamentais aos sinais de fMRI córtex pré-frontal humano: Examinando Processos Cognitivos Usando Análise de Tarefa

The aim of this methods paper is to describe how to implement a neuroimaging technique to examine complementary brain processes engaged by two similar ...

Functional Calcium Imaging in Developing Cortical Networks

A hallmark pattern of activity in developing nervous systems is spontaneous, synchronized network activity. Synchronized activity has been observed in intact spinal cord, brainstem, retina, cortex and dissociated neuronal culture preparations. During periods of spontaneous activity, neurons depolarize to fire single or bursts of action potentials, activating many ion channels. Depolarization activates voltage-gated calcium channels on dendrites and spines that mediate calcium influx. Highly synchronized electrical activity has been measured from local neuronal networks using field electrodes. This technique enables high temporal sampling rates but lower spatial resolution due to integrated read-out of multiple neurons at one electrode. Single cell resolution of neuronal activity is possible using patch-clamp electrophysiology on single neurons to measure firing activity. However, the ability to measure from a network is limited to the number of neurons patched simultaneously, and typically is only one or two neurons. The use of calcium-dependent fluorescent indicator dyes has enabled the measurement of synchronized activity across a network of cells. This technique gives both high spatial resolution and sufficient temporal sampling to record spontaneous activity of the developing network.
A key feature of newly-forming cortical and hippocampal networks during pre- and early postnatal development is spontaneous, synchronized neuronal activity (Katz &amp; Shatz, 1996; Khaziphov &amp; Luhmann, 2006). This correlated network activity is believed to be essential for the generation of functional circuits in the developing nervous system (Spitzer, 2006). In both primate and rodent brain, early electrical and calcium network waves are observed pre- and postnatally in vivo and in vitro (Adelsberger et al., 2005; Garaschuk et al., 2000; Lamblin et al., 1999). These early activity patterns, which are known to control several developmental processes including neuronal differentiation, synaptogenesis and plasticity (Rakic &amp; Komuro, 1995; Spitzer et al., 2004) are of critical importance for the correct development and maturation of the cortical circuitry.
In this JoVE video, we demonstrate the methods used to image spontaneous activity in developing cortical networks. Calcium-sensitive indicators, such as Fura 2-AM ester diffuse across the cell membrane where intracellular esterase activity cleaves the AM esters to leave the cell-impermeant form of indicator dye. The impermeant form of indicator has carboxylic acid groups which are able to then detect and bind calcium ions intracellularly.. The fluorescence of the calcium-sensitive dye is transiently altered upon binding to calcium. Single or multi-photon imaging techniques are used to measure the change in photons being emitted from the dye, and thus indicate an alteration in intracellular calcium. Furthermore, these calcium-dependent indicators can be combined with other fluorescent markers to investigate cell types within the active network.

Spontaneous activity of developing neuronal networks can be measured using AM-ester forms of calcium-sensitive indicator dyes. Changes in intracellular calcium, indicating neuronal activation, are detected as transient changes in indicator fluorescence with one- or two-photon imaging. This protocol can be adapted for a range of developmentally-dependent neuronal networks in vitro.

Imagem de cálcio funcional em desenvolvimento de redes Cortical

A hallmark pattern of activity in developing nervous systems is spontaneous, synchronized network activity. Synchronized activity has been observed in ...

Surgical Implantation of Chronic Neural Electrodes for Recording Single Unit Activity and Electrocorticographic Signals

The success of long-term electrophysiological recordings often depends on the quality of the implantation surgery. Here we provide useful information for surgeons who are learning the process of implanting electrode systems. We demonstrate the implantation procedure of both a penetrating and a surface electrode. The surgical process is described from start to finish, including detailed descriptions of each step throughout the procedure. It should also be noted that this video guide is focused towards procedures conducted in rodent models and other small animal models. Modifications of the described procedures are feasible for other animal models.

We provide useful information for surgeons who are learning the process of implanting chronic neural recording electrodes. Techniques for both penetrating and surface electrode systems are described in a rodent animal model.

Implante cirúrgico de crônicas Eletrodos Neurais para registrar a atividade única Unidade e Sinais eletrocorticográfica

The success of long-term electrophysiological recordings often depends on the quality of the implantation surgery.  Here we provide useful information for ...

Mapping Cortical Dynamics Using Simultaneous MEG/EEG and Anatomically-constrained Minimum-norm Estimates: an Auditory Attention Example

Magneto- and electroencephalography (MEG/EEG) are neuroimaging techniques that provide a high temporal resolution particularly suitable to investigate the cortical networks involved in dynamical perceptual and cognitive tasks, such as attending to different sounds in a cocktail party. Many past studies have employed data recorded at the sensor level only, i.e., the magnetic fields or the electric potentials recorded outside and on the scalp, and have usually focused on activity that is time-locked to the stimulus presentation. This type of event-related field / potential analysis is particularly useful when there are only a small number of distinct dipolar patterns that can be isolated and identified in space and time. Alternatively, by utilizing anatomical information, these distinct field patterns can be localized as current sources on the cortex. However, for a more sustained response that may not be time-locked to a specific stimulus (e.g., in preparation for listening to one of the two simultaneously presented spoken digits based on the cued auditory feature) or may be distributed across multiple spatial locations unknown a priori, the recruitment of a distributed cortical network may not be adequately captured by using a limited number of focal sources.
Here, we describe a procedure that employs individual anatomical MRI data to establish a relationship between the sensor information and the dipole activation on the cortex through the use of minimum-norm estimates (MNE). This inverse imaging approach provides us a tool for distributed source analysis. For illustrative purposes, we will describe all procedures using FreeSurfer and MNE software, both freely available. We will summarize the MRI sequences and analysis steps required to produce a forward model that enables us to relate the expected field pattern caused by the dipoles distributed on the cortex onto the M/EEG sensors. Next, we will step through the necessary processes that facilitate us in denoising the sensor data from environmental and physiological contaminants. We will then outline the procedure for combining and mapping MEG/EEG sensor data onto the cortical space, thereby producing a family of time-series of cortical dipole activation on the brain surface (or "brain movies") related to each experimental condition. Finally, we will highlight a few statistical techniques that enable us to make scientific inference across a subject population (i.e., perform group-level analysis) based on a common cortical coordinate space.

We use magneto- and electroencephalography (MEG/EEG), combined with anatomical information captured by magnetic resonance imaging (MRI), to map the dynamics of the cortical network associated with auditory attention.

Mapeamento Dynamics cortical MEG simultâneas / EEG e anatomicamente constrangido mínima norma-Estimativas: um exemplo Atenção Auditiva

Magneto- and electroencephalography (MEG/EEG) are neuroimaging techniques that provide a high temporal resolution particularly suitable to investigate the ...

Functional Imaging of Auditory Cortex in Adult Cats using High-field fMRI

Current knowledge of sensory processing in the mammalian auditory system is mainly derived from electrophysiological studies in a variety of animal models, including monkeys, ferrets, bats, rodents, and cats. In order to draw suitable parallels between human and animal models of auditory function, it is important to establish a bridge between human functional imaging studies and animal electrophysiological studies. Functional magnetic resonance imaging (fMRI) is an established, minimally invasive method of measuring broad patterns of hemodynamic activity across different regions of the cerebral cortex. This technique is widely used to probe sensory function in the human brain, is a useful tool in linking studies of auditory processing in both humans and animals and has been successfully used to investigate auditory function in monkeys and rodents. The following protocol describes an experimental procedure for investigating auditory function in anesthetized adult cats by measuring stimulus-evoked hemodynamic changes in auditory cortex using fMRI. This method facilitates comparison of the hemodynamic responses across different models of auditory function thus leading to a better understanding of species-independent features of the mammalian auditory cortex.

Functional studies of the auditory system in mammals have traditionally been conducted using spatially-focused techniques such as electrophysiological recordings. The following protocol describes a method of visualizing large-scale patterns of evoked hemodynamic activity in the cat auditory cortex using functional magnetic resonance imaging.

Imagem Funcional do Cortex Auditivo em gatos adultos usando de alta campo fMRI

Current knowledge of sensory processing in the mammalian auditory system is mainly derived from electrophysiological studies in a variety of animal ...

A Protocol for the Administration of Real-Time fMRI Neurofeedback Training

Neurologic disorders are characterized by abnormal cellular-, molecular-, and circuit-level functions in the brain. New methods to induce and control neuroplastic processes and correct abnormal function, or even shift functions from damaged tissue to physiologically healthy brain regions, hold the potential to dramatically improve overall health. Of the current neuroplastic interventions in development, neurofeedback training (NFT) from functional Magnetic Resonance Imaging (fMRI) has the advantages of being completely non-invasive, non-pharmacologic, and spatially localized to target brain regions, as well as having no known side effects. Furthermore, NFT techniques, initially developed using fMRI, can often be translated to exercises that can be performed outside of the scanner without the aid of medical professionals or sophisticated medical equipment. In fMRI NFT, the fMRI signal is measured from specific regions of the brain, processed, and presented to the participant in real-time. Through training, self-directed mental processing techniques, that regulate this signal and its underlying neurophysiologic correlates, are developed. FMRI NFT has been used to train volitional control over a wide range of brain regions with implications for several different cognitive, behavioral, and motor systems. Additionally, fMRI NFT has shown promise in a broad range of applications such as the treatment of neurologic disorders and the augmentation of baseline human performance. In this article, we present an fMRI NFT protocol developed at our institution for modulation of both healthy and abnormal brain function, as well as examples of using the method to target both cognitive and auditory regions of the brain.

The ability to induce and/or control neural plasticity may be critical in future treatments for neurologic disorders and the recovery from brain injury. In this paper, we present a protocol on the use of neurofeedback training with functional magnetic resonance imaging to modulate human brain function.

Um protocolo para a administração do real-time fMRI treinamento de Neurofeedback

Neurologic disorders are characterized by abnormal cellular-, molecular-, and circuit-level functions in the brain. New methods to induce and control ...

Chronic Implantation of Whole-cortical Electrocorticographic Array in the Common Marmoset

Electrocorticography (ECoG) allows the monitoring of electrical field potentials from the cerebral cortex with high spatiotemporal resolution. Recent development of thin, flexible ECoG electrodes has enabled conduction of stable recordings of large-scale cortical activity. We have developed a whole-cortical ECoG array for the common marmoset. The array continuously covers almost the entire lateral surface of cortical hemisphere, from the occipital pole to the temporal and frontal poles, and it captures whole-cortical neural activity in one shot. This protocol describes a chronic implantation procedure of the array in the epidural space of the marmoset brain. Marmosets have two advantages regarding ECoG recordings, one being the homologous organization of anatomical structures in humans and macaques, including frontal, parietal, and temporal complexes. The other advantage is that the marmoset brain is lissencephalic and contains a large number of complexes, which are more difficult to access in macaques with ECoG, that are exposed to the brain surface.These features allow direct access to most cortical areas beneath the surface of the brain. This system provides an opportunity to investigate global cortical information processing with high resolutions at a sub-millisecond order in time and millimeter order in space.

We have developed a whole-cortical electrocorticographic array for the common marmoset that continuously covers almost the entire lateral surface of cortex, from the occipital pole to the temporal and frontal poles. This protocol describes a chronic implantation procedure of the array in the epidural space of the marmoset brain.

Crônica implantação de matriz Electrocorticographic todo-cortical no sagui comum

Electrocorticography (ECoG) allows the monitoring of electrical field potentials from the cerebral cortex with high spatiotemporal resolution. Recent ...

Real-Time fMRI Brain Mapping in Animals

Dynamic fMRI responses vary largely according to the physiological conditions of animals either under anesthesia or in awake states. We developed a real-time fMRI platform to guide experimenters to monitor fMRI responses instantaneously during acquisition, which can be used to modify the physiology of animals to achieve desired hemodynamic responses in animal brains. The real-time fMRI set-up is based on a 14.1T preclinical MRI system, enabling the real-time mapping of dynamic fMRI responses in the primary forepaw somatosensory cortex (FP-S1) of anesthetized rats. Instead of a retrospective analysis to investigate confounding sources leading to the variability of fMRI signals, the real-time fMRI platform provides a more effective scheme to identify dynamic fMRI responses using customized macro-functions and a common neuroimage analysis software in the MRI system. Also, it provides immediate troubleshooting feasibility and a real-time biofeedback stimulation paradigm for brain functional studies in animals.

Animal brain functional mapping can benefit from the real-time functional magnetic resonance imaging (fMRI) experimental set-up. Using the latest software implemented in the animal MRI system, we established a real-time monitoring platform for small animal fMRI.

Mapeamento cerebral por fMRI em tempo real em animais

Dynamic fMRI responses vary largely according to the physiological conditions of animals either under anesthesia or in awake states. We developed a ...

Electrocorticographic Recording of Cerebral Cortex Areas Manipulated Using an Adeno-Associated Virus Targeting Cofilin in Mice

The use of electrocorticographic (ECoG) recordings in rodents is relevant to sleep research and to the study of a wide range of neurological conditions. Adeno-associated viruses (AAVs) are increasingly used to improve understanding of brain circuits and their functions. The AAV-mediated manipulation of specific cell populations and/or of precise molecular components has been tremendously useful to identify new sleep regulatory circuits/molecules and key proteins contributing to the adverse effects of sleep loss. For instance, inhibiting activity of the filamentous actin-severing protein&#160;cofilin&#160;using AAV prevents sleep deprivation-induced memory impairment. Here, a protocol is&#160;described that combines the manipulation of cofilin function in a cerebral cortex area with the recording of ECoG activity to examine whether cortical cofilin modulates the wakefulness and sleep ECoG signals. AAV injection is performed during the same surgical procedure as the implantation of ECoG and electromyographic (EMG) electrodes in adult male and female mice. Mice are anesthetized, and their heads are shaved. After skin cleaning and incision, stereotaxic coordinates of the motor cortex are determined, and the skull is pierced at this location. A cannula prefilled with an AAV expressing cofilinS3D, an inactive form of cofilin, is slowly positioned in the cortical tissue. After AAV infusion, gold-covered screws (ECoG electrodes) are screwed through the skull and cemented to the skull with gold wires inserted in the neck muscles (EMG electrodes). The animals are allowed three weeks to recover and to ensure sufficient expression of cofilinS3D. The infected area and cell type are verified using immunohistochemistry, and the ECoG is analyzed using visual identification of vigilance states and spectral analysis. In summary, this combined methodological approach allows the investigation of the precise contribution of molecular components regulating neuronal morphology and connectivity to the regulation of synchronized cerebral cortex activity during wakefulness and sleep.

This article describes a protocol for the manipulation of molecular targets in the cerebral cortex using adeno-associated viruses and for monitoring the effects of this manipulation during wakefulness and sleep using electrocorticographic recordings.

Registro eletrocorticográfico de áreas do córtex cerebral manipulado usando um vírus associado ao Adeno visando cofilina em camundongos

The use of electrocorticographic (ECoG) recordings in rodents is relevant to sleep research and to the study of a wide range of neurological conditions. ...