Name: mapping cortical dynamics using simultaneous meg/eeg and anatomically-constrained minimum-norm estimates: an auditory attention example
Uploaded: 2012-10-24T13:00:00
Description: Watch this Scientific Journal Video about Mapping Cortical Dynamics Using Simultaneous MEG/EEG and Anatomically-constrained Minimum-norm Estimates: an Auditory Attention Example at JoVE.com

Авторы хотели бы поблагодарить Матти С. Хямяляйнен, Lilla Zöllei и три анонимных рецензентов за их полезные комментарии. Источники финансирования: R00DC010196 (AKCL); T32DC000018 (EDL); T32DC005361 (РКМ).

1. Анатомические сбора и обработки данных <ol><li> Приобрести одну намагниченности подготовленные быстрое градиентное эхо (MPRAGE) МРТ субъекта. Это может занять 5-10 минут, в зависимости от конкретного протокола сканирования используется. </li><li> Приобретите два дополнительных быстрых низким ...

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Для того чтобы оценить дипольного активацию на кору от приобретенного MEG / данные ЭЭГ, нам нужно решить обратную задачу, которая не имеет единственное устойчивое решение, если соответствующие анатомически и физиологически звук ограничениями. Использование анатомических ограничений п...

<table border="1"><tbody><tr><td> Наименование оборудования / программного обеспечения </td><td> Компании / источник </td><td></td><td></td></tr><tr><td> 306-канал Vectorview MEG системы </td><td> Eleka-Neuromag Ltd, </td><td></td><td></td></tr><tr><td> 1,5-Т Avanto магнитно-резонансной томографии </td><td> Siemens Medical Solutions </td><td></td><td></td></tr><tr><td> FreeSurfer </td><td></td><td></td><td> <a href="http://freesurfer.net/" target="_blank">http://freesurfer.net/</a> </td></tr><tr><td> MNE программного обеспечения </td><td></td><td></td><td> <a href="http://www.nmr.mgh.harvard.edu/martinos/userInfo/data/sofMNE.php" target="_blank">http://www.nmr.mgh.harvard.edu/martinos/userInfo/data/sofMNE.php</a> </td></tr><tr><td> ЭЭГ электродов </td><td> Мозг продукции, EasyCap GmbH </td><td></td><td></td></tr><tr><td> 3Space Fastrak системы </td><td> Polhemus </td><td></td><td></td></tr><tr><td> Оптический бокс кнопки (ПФР-932) </td><td> Современные конструкции </td><td></td><td></td></tr></tbody></table>

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.

Watch this Scientific Journal Video about Mapping Cortical Dynamics Using Simultaneous MEG/EEG and Anatomically-constrained Minimum-norm Estimates: an Auditory Attention Example at JoVE.com

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

Мы используем магнито-и электроэнцефалографии (MEG / ЭЭГ), в сочетании с анатомическую информацию, полученную при магнитно-резонансной томографии (МРТ), для отображения динамики корковых сети, связанные с слуховое внимание.

Сопоставление корковой динамики Одновременное использование MEG / ЭЭГ и анатомически ограничен минимальной нормой Оценки: Пример слухового внимания

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

Research

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