Name: cortical source analysis of high-density eeg recordings in children
Uploaded: 2014-06-30T15:00:00
Description: Watch this Scientific Journal Video about Cortical Source Analysis of High-Density EEG Recordings in Children at JoVE.com

Мы хотим поблагодарить профессора Джона Ричардса, Университет Южной Каролины, за предоставление нам доступ к базе данных с развитием МРТ и полезные обсуждения. Мы также хотели бы поблагодарить наших спонсоров Great Ormond Street детский благотворительный, UCL Impact &amp; Великих задач.

1. Проектирование ЭЭГ и события, связанные потенциальные эксперименты для детей Примечание: Простой эксперимент был разработан для целей настоящей статьи, которые могут быть использованы для расследования лицом, обработка у маленьких детей. В следующем разделе будет оп?...

<ol>
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Настоящая статья описывает регистрацию и анализ высокой плотности ЭЭГ на реконструкцию корковых генераторов с использованием моделей граничных элементов на основе возраста соответствующие средние шаблоны МРТ и глубина взвешенная минимальная оценка нормой в стандартном ERP парадигм...

<table border="0" cellpadding="0" cellspacing="0" width="1256">
	<tbody>
		<tr height="21">
			<td height="21" style="height:21px;width:473px;">High-density EEG sensor net (128 or 256 channels)</td>
			<td style="width:448px;">HydroCel Geodesic Sensor Net 128</td>
			<td style="width:247px;">Electrical Geodesic Inc., Oregon, US</td>
			<td style="width:88px;"></td>
		</tr>
		<tr height="21">
			<td height="21" style="height:21px;">EEG high impendance amplifier</td>
			<td>NetAmps 200</td>
			<td>Electrical Geodesic Inc., Oregon, US</td>
			<td></td>
		</tr>
		<tr height="21">
			<td height="21" style="height:21px;">Data Acquisition Computer&#160;</td>
			<td>PowerMac G4</td>
			<td>Apple Inc, California, US</td>
			<td></td>
		</tr>
		<tr height="21">
			<td height="21" style="height:21px;">Stimulus Presentation Computer</td>
			<td>Optiplex 745</td>
			<td>Dell Computers Inc., Texas, US</td>
			<td></td>
		</tr>
		<tr height="21">
			<td height="21" style="height:21px;">Stimulus Presentation Software</td>
			<td>Matlab R2012b with PsychToolBox</td>
			<td>Brainard et al. 1997</td>
			<td></td>
		</tr>
		<tr height="21">
			<td height="21" style="height:21px;">EEG recording software</td>
			<td>NetStation 4.5.1</td>
			<td>Electrical Geodesic Inc., Oregon, US</td>
			<td></td>
		</tr>
		<tr height="21">
			<td height="21" style="height:21px;">EEG analysis software</td>
			<td>Matlab R2012b</td>
			<td>The Mathworks Inc.,&#160;</td>
			<td></td>
		</tr>
		<tr height="21">
			<td height="21" style="height:21px;"></td>
			<td>EEGLAB</td>
			<td>Delorme et al. 2004</td>
			<td></td>
		</tr>
		<tr height="21">
			<td height="21" style="height:21px;"></td>
			<td>BrainStorm</td>
			<td>Sylvain et al. 2001</td>
			<td></td>
		</tr>
		<tr height="21">
			<td height="21" style="height:21px;">MRI processing software</td>
			<td>FreeSurfer</td>
			<td>Fischl et al. 2004</td>
			<td></td>
		</tr>
		<tr height="21">
			<td height="21" style="height:21px;"></td>
			<td>OpenMEEG</td>
			<td>Gramfort et al. 2010</td>
			<td></td>
		</tr>
		<tr height="21">
			<td height="21" style="height:21px;"></td>
			<td></td>
			<td></td>
			<td></td>
		</tr>
		<tr height="21">
			<td height="21" style="height:21px;"></td>
			<td></td>
			<td></td>
			<td></td>
		</tr>
		<tr height="21">
			<td height="21" style="height:21px;">References</td>
			<td></td>
			<td></td>
			<td></td>
		</tr>
		<tr height="21">
			<td colspan="4" height="21" style="height:21px;">Delorme, A., &#38; Makeig, S. (2004). EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis. Journal of Neuroscience Methods, 134(1), 9&#8211;21.</td>
		</tr>
		<tr height="21">
			<td colspan="3" height="21" style="height:21px;">Sylvain, B., John, C., Dimitrios, P., &#38; Richard, M. (2011). Brainstorm: A User-Friendly Application for MEG/EEG Analysis. Computational Intelligence and Neuroscience, 2011, 1&#8211;13.</td>
			<td></td>
		</tr>
		<tr height="21">
			<td colspan="3" height="21" style="height:21px;">Fischl, B., Van Der Kouwe, A., Destrieux, C., Halgren, E., S&#233;gonne, F., Salat, D. H., et al. (2004). Automatically parcellating the human cerebral cortex. Cerebral Cortex, 14(1), 11&#8211;22.</td>
			<td></td>
		</tr>
		<tr height="21">
			<td colspan="4" height="21" style="height:21px;">Gramfort, A., Papadopoulo, T., Olivi, E., &#38; Clerc, M. (2010). OpenMEEG: opensource software for quasistatic bioelectromagnetics. BioMedical Engineering OnLine, 9(1), 45. doi:10.1186/1475-925X-9-45</td>
		</tr>
		<tr height="21">
			<td height="21" style="height:21px;">Brainard, D. H. (1997). The psychophysics toolbox. Spatial vision.</td>
			<td></td>
			<td></td>
			<td></td>
		</tr>
	</tbody>
</table>

cortical source analysis of high-density eeg recordings in children

ЭЭГ традиционно описывается как метод нейровизуализации с высоким временным и низкого пространственного разрешения. Последние достижения в области моделирования биофизических и обработки сигналов позволяют использовать информацию от других методов визуализации, таких как структурной МРТ, которые обеспечивают высокое пространственное разрешение, чтобы преодолеть это ограничение 1. Это особенно полезно для исследований, требующих высокого разрешения в височной, а также пространственной области. Кроме того, в связи с легкого применения и низкой стоимости ЭЭГ, ЭЭГ часто методом выбора при работе с населением, таких как маленьких детей, которые не переносят функциональной МРТ сканирует хорошо. Тем не менее, в целях расследования, которые нервные субстраты участвуют, анатомической информации от структурного МРТ по-прежнему необходима. Большинство пакетов ЭЭГ анализ работать со стандартными моделями головных, которые основаны на взрослого анатомии. Точность этих моделей при использовании для детей ограничено 2, так как соmposition и пространственная конфигурация головы тканей изменения резко за развитие 3. В настоящей работе, мы предоставляем обзор нашей недавней работы в использовании моделей на основе отдельных структурных сканирования МРТ или возрастных моделей конкретных головы реконструировать корковых генераторы высокой плотности ЭЭГ. В данной статье описывается ЭЭГ приобретаются, обработаны и проанализированы с детской популяции на Лондонской лаборатории для новорожденных, в том числе лабораторной установки, дизайн задач, ЭЭГ предварительной обработки, переработки МРТ, и уровень канала ЭЭГ и анализа исходного.

Проектирование ERP эксперименты для младенцев и детей часто бросает вызов, из-за их ограниченных возможностей терпеть длинные повторяющиеся опыты 30. Эта проблема еще более усугубляется, когда экспериментатор планирует подать заявку реконструкции источника, потому что точной рек...

Watch this Scientific Journal Video about Cortical Source Analysis of High-Density EEG Recordings in Children at JoVE.com

Cortical Source Analysis of High-Density EEG Recordings in Children

Кортикальная Источник Анализ высокой плотности ЭЭГ Recordings у детей

В последние годы наблюдается растущий интерес к оценке корковых источники головы измеренные электрическую активность для когнитивных экспериментов нейронауки. В данной статье описывается высокой плотности ЭЭГ приобретается и как записи обрабатываются для оценки корковой источника у детей в возрасте от 2-х лет в Лондонской лаборатории для новорожденных.

EEG is traditionally described as a neuroimaging technique with high temporal and low spatial resolution. Recent advances in biophysical modelling and ...

Research

JoVE Journal

Behavior

Quantitative Assessment of Cortical Auditory-tactile Processing in Children with Disabilities

Количественная оценка Кортикальная Слуховые-тактильной обработки в детей с ограниченными возможностями

Objective and easy measurement of sensory processing is extremely difficult in nonverbal or vulnerable pediatric patients. We developed a new methodology ...

Measurement of Fronto-limbic Activity Using an Emotional Oddball Task in Children with Familial High Risk for Schizophrenia

Измерение лобно-лимбической деятельности, используя эмоциональном чудак Задача у детей с семейной высокий риск шизофрении

Adolescence is a critical developmental period where the early symptoms of schizophrenia frequently emerge. First-degree relatives of people with ...

Measuring Attentional Biases for Threat in Children and Adults

Измерение сосредоточения внимания пристрастия для угрозы у детей и взрослых

Investigators have long been interested in the human propensity for the rapid detection of threatening stimuli. However, until recently, research in this ...

Testing Sensory and Multisensory Function in Children with Autism Spectrum Disorder

Тестирование сенсорных и мультисенсорных функции у детей с расстройством аутистического спектра

In addition to impairments in social communication and the presence of restricted interests and repetitive behaviors, deficits in sensory processing are ...

Psychophysical Tracking Method to Measure Taste Preferences in Children and Adults

Психофизический Отслеживание метод измерения вкусовых предпочтений у детей и взрослых

The Monell two-series, forced-choice, paired-comparison tracking method provides a reliable measure of sweet taste preferences from childhood to ...

Automatic Detection of Highly Organized Theta Oscillations in the Murine EEG

Автоматическое обнаружение высокоорганизованной Theta колебаний в мышиной EEG

Theta activity is generated in the septohippocampal system and can be recorded using deep intrahippocampal electrodes and implantable ...

Assessing Working Memory in Children: The Comprehensive Assessment Battery for Children &#8211; Working Memory (CABC-WM)

Assessing Working Memory in Children: The Comprehensive Assessment Battery for Children ÃƒÆ’Ã‚Â¢ÃƒÂ¢Ã¢â‚¬Å¡Ã‚Â¬ÃƒÂ¢Ã¢â€šÂ¬Ã…â€œ Working Memory CABC-WM

Оценка рабочей памяти у детей: Батарея для всесторонней оценки для детей - Рабочая память (CABC-WM)

The Comprehensive Assessment Battery for Children - Working Memory (CABC-WM) is a computer-based battery designed to assess different components of ...

Reversible Cooling-induced Deactivations to Study Cortical Contributions to Obstacle Memory in the Walking Cat

Реверсивные охлаждения индуцированной деактиваций учиться корковых вклад препятствие памяти в пешеходных Cat

On complex, naturalistic terrain, sensory information about an environmental obstacle can be used to rapidly adjust locomotor movements for avoidance. For ...

Classical Short-Delay Eyeblink Conditioning in One-Year-Old Children

Классическая Eyeblink короткой задержки кондиционирования в один летний детей

Classical eyeblink conditioning (EBC) refers to the learned association between a conditioned stimulus (an auditory tone) and an unconditioned stimulus (a ...

An Electrophysiology Protocol to Measure Reward Anticipation and Processing in Children

Электрофизиологии протокол к мера вознаграждения предвидение и обработки в детей

We present a protocol designed to measure the neural correlates of reward in children. The protocol allows researchers to measure both reward anticipation ...