Name: concurrent eeg and functional mri recording and integration analysis for dynamic cortical activity imaging
Uploaded: 2018-06-30T12:30:00
Description: Watch this Scientific Journal Video about Concurrent EEG and Functional MRI Recording and Integration Analysis for Dynamic Cortical Activity Imaging at JoVE.com

이 작품 NIH DK082644, 휴스턴 대학에 지원 했다.

여기에 제시 된 프로토콜 설계 하 고 수행한 윤리적 인간 연구에 대 한 모든 지침에 따라 설정 앞 대학 휴스턴과 휴스턴 감리교 연구소의 각각 제도적 리뷰 보드.
1. 동시 EEG/fMRI 녹음
<ol><li>참가자 로부터 동의 얻을. 참가자는 목적 및 연구 과정 녹음 동시 EEG/fMRI 데이터에 대 한 중요 한 안전 조치의 절차를 설명 합니다.</li>
	<li>
EEG 모자를 준비 하 고는 MRI 스캐너 외부 임...

<ol>
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우리는 여기 EEG/fMRI 통합 분석 spatiotemporal fMRI 제한 된 소스 분석 방법을 사용 하기 위해 필요한 조치 나타났습니다. EEG 및 fMRI는 되 잘 설립 비 접촉 두뇌 활동을 이미징에 대 한 기본적인 방법으로 하지만 그들은 그들의 각각 공간과 시간 해상도에 어려움 직면. 각각의 유리한 속성에 투자 방법은 개발 되었다, 그러나 현재 fMRI 제한 된 뇌 파 소스 지역화 방법을 자주 의존 간단한 fMRI 제약, 편견 및 ?...

Electroencephalography (뇌 파)와 기능적 자기 공명 영상 (fMRI) 보완 기능 neuroimaging 형식으로 볼 수 있습니다. FMRI hemodynamic 신호 (초) 순서 가난한 시간적 해상도1,2기본 신경 활동을 직접 측정 일시적인 대규모 두뇌 활동을 캡처합니다. 반면, 뇌 파 직접 빈약한 공간적 해상도3,4하지만 매우 높은 시간 해상도 (밀리초 수준), 뇌의 동적 electrophysiological 활동을 측정합니다. 이러한 속성은 각 개별 방법5의 유리한 측면을 최적화 하도록 설계 된 복합 접근에 이르렀다. EEG와 fMRI의 동시 사용 unimodal fMRI 또는 뇌 파와 관련 된 한계를 극복 하기 위해 우수한 시간적 해상도 뇌 파의 fMRI의 높은 공간 정확도와 결합 될 수 있습니다.
EEG 및 fMRI 통합을 위한 방법-정보를 fMRI 뇌 파 소스 지역화6,7로 시작합니다. 그러나이 기술은 뇌 파 소스 지역화를 개선 하기 위해 fMRI 파생 된 공간 정보를 활용 하 여,, 1 개의 결점은 "하드-제약 조건으로" fMRI의 응용 프로그램에 의해 발생 하는 잠재적인 공간 바이어스-공간 정보 fMRI 파생 된 것으로 간주 한 절대 진리입니다. 이 화해6-8이어야 하는 두 가지 큰 문제를 제기 한다. 첫째, 혈액 산소 수준 의존 (대담한) 대조의 정적 지도 사용 하 여 실수로 댐핑 밖에 진정한 활동 하는 동안 안에서 떨어지는 어떤 잘못 된 활동을 강화할 수 있습니다 고려 되어야 한다. 둘째, 대담한 활성화 지도 이상으로 발생 하는 소스에서 크로스 토크 결과 내에서 진정한 활동의 프레 젠 테이 션에 영향을 미칠 또는 잘못 된 활동을 일으킬 수 있습니다. 그럼에도 불구 하 고, 뇌 파 역 문제의 모델링 될 수 있는 사전 공간 지식 남아 유리한 솔루션5제공 하는 fMRI의 높은 공간 해상도 사용 하 여 제한 해 부와 기능 감에서 둘 다.
이 종이, fMRI priors는 계층적 베이지안 모델9에 따라 최적의 하위 집합을 계산 하 여 EEG와 fMRI 사이의 일시적인 불일치의 문제를 해결 하는 접근을 이미징 spatiotemporal fMRI 제한 된 뇌 파 소스를 보여 줍니다. FMRI priors 시간 변형 fMRI 제약을 이끌어 뇌 파 데이터에 대 한 관심의 특정 윈도우에서 데이터 기반으로 계산 됩니다. 제안 된 접근 활용 fMRI의 높은 공간 해상도로 정보를 정확 하 게 동적 신경 이미지 하는 시간에 따라 변화, 공간 선택적 방식으로 대뇌 피 질의 활동의 전류 밀도 매핑 계산 뇌 파의 높은 시간 해상도 활동입니다.

<table border="0" cellpadding="0" cellspacing="0" style="width:869px;" width="868">
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	<tbody>
		<tr height="40">
			<td height="40" style="height:40px;width:219px;">BrainAmp MR Plus</td>
			<td style="width:117px;">Brain Products</td>
			<td style="width:119px;"></td>
			<td style="width:415px;">Amplifiers for EEG recording, MR-compatible</td>
		</tr>
		<tr height="40">
			<td height="40" style="height:40px;">BrainAmp ExG MR&#160;</td>
			<td style="width:117px;">Brain Products</td>
			<td style="width:119px;"></td>
			<td>Amplifier for auxilary sensor (EMG), MR-compatible</td>
		</tr>
		<tr height="40">
			<td height="40" style="height:40px;">BrainAmp Power Pack</td>
			<td style="width:117px;">Brain Products</td>
			<td style="width:119px;"></td>
			<td>Provide power to amplifiers in the MR environment</td>
		</tr>
		<tr height="40">
			<td height="40" style="height:40px;">Ribbon Cables</td>
			<td style="width:117px;">Brain Products</td>
			<td style="width:119px;"></td>
			<td>Connects the Power Pack to Amplifiers</td>
		</tr>
		<tr height="40">
			<td height="40" style="height:40px;">SyncBox</td>
			<td style="width:117px;">Brain Products</td>
			<td style="width:119px;"></td>
			<td>Synchronize MR scanner clock with EEG amplifier clock</td>
		</tr>
		<tr height="40">
			<td height="40" style="height:40px;">BrainCap MR</td>
			<td style="width:117px;">Brain Products</td>
			<td style="width:119px;"></td>
			<td>Passive-electrode 64-channel EEG cap, MR-compatible</td>
		</tr>
		<tr height="40">
			<td height="40" style="height:40px;">BrainVision Recorder</td>
			<td style="width:117px;">Brain Products</td>
			<td style="width:119px;"></td>
			<td>EEG data recording software (steps 1.2-1.4.2)</td>
		</tr>
		<tr height="40">
			<td height="40" style="height:40px;">BrainVision Analyzer 2.0</td>
			<td style="width:117px;">Brain Products</td>
			<td style="width:119px;"></td>
			<td>EEG analysis software (steps 4.1-4.6)</td>
		</tr>
		<tr height="40">
			<td height="40" style="height:40px;">USB 2 Adapter (also known as BUA)</td>
			<td style="width:117px;">Brain Products</td>
			<td style="width:119px;"></td>
			<td>Interface between the amplifiers and data acquisition computer</td>
		</tr>
		<tr height="40">
			<td height="40" style="height:40px;">Fiber Optic Cables</td>
			<td style="width:117px;">Brain Products</td>
			<td style="width:119px;"></td>
			<td>Connects the EEG cap in the MR scanner to the Recording Computer</td>
		</tr>
		<tr height="40">
			<td height="40" style="height:40px;">SyncBox Scanner Interface</td>
			<td style="width:117px;">Brain Products</td>
			<td style="width:119px;"></td>
			<td>Synchronize MR scanner clock with EEG amplifier clock</td>
		</tr>
		<tr height="40">
			<td height="40" style="height:40px;">Trigger Cable</td>
			<td style="width:117px;">Brain Products</td>
			<td style="width:119px;"></td>
			<td>Used to send scanner/paradigm triggers to the recording computer</td>
		</tr>
		<tr height="40">
			<td height="40" style="height:40px;">ABRALYT HiCl EEG Electrode Gel</td>
			<td style="width:117px;">EasyCap</td>
			<td style="width:119px;"></td>
			<td>Abrasive EEG gel for passive electrode in MR environment</td>
		</tr>
		<tr height="40">
			<td height="40" style="height:40px;">Ingenia 3.0T MR system</td>
			<td style="width:117px;">Philips</td>
			<td style="width:119px;"></td>
			<td>3.0 T MRI system</td>
		</tr>
		<tr height="40">
			<td height="40" style="height:40px;">Patriot Digitizer</td>
			<td style="width:117px;">Polhemus</td>
			<td style="width:119px;"></td>
			<td>EEG channel location digitization&#160;</td>
		</tr>
		<tr height="40">
			<td height="40" style="height:40px;">MATLAB r2014a</td>
			<td style="width:117px;">MathWorks</td>
			<td></td>
			<td>Programming base for the DBTN algorithm (steps 3.3-3.4 and 5.1-5.7)</td>
		</tr>
		<tr height="40">
			<td height="40" style="height:40px;">Pictures of Facial Affect</td>
			<td style="width:117px;">Paul Eckman Group</td>
			<td></td>
			<td>A series of emotionally valent faces used as stimuli</td>
		</tr>
		<tr height="40">
			<td height="40" style="height:40px;">E-Prime 2.0</td>
			<td style="width:117px;">Psychology Software Tools, Inc</td>
			<td></td>
			<td>Presentation Software (step 1.4.3)</td>
		</tr>
		<tr height="40">
			<td height="40" style="height:40px;">Bipolar skin EMG electrode</td>
			<td style="width:117px;">Brain Products</td>
			<td></td>
			<td>Used to detect muscle activity.</td>
		</tr>
		<tr height="40">
			<td height="40" style="height:40px;">POLGUI</td>
			<td style="width:117px;"></td>
			<td></td>
			<td>MATLAB software for digitization</td>
		</tr>
		<tr height="40">
			<td height="40" style="height:40px;">Freesurfer</td>
			<td style="width:117px;"></td>
			<td></td>
			<td>Software used in steps 2.1-2.4, and steps 3.1-3.2</td>
		</tr>
		<tr height="40">
			<td height="40" style="height:40px;">MNE</td>
			<td style="width:117px;"></td>
			<td></td>
			<td>Software used in step 2.5</td>
		</tr>
	</tbody>
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concurrent eeg and functional mri recording and integration analysis for dynamic cortical activity imaging

Electroencephalography (뇌 파)와 기능적 자기 공명 영상 (fMRI)는 두뇌 활동을 식별 하기 위한 기본적인 비 침범 성 방법의 두. FMRI의 공간 정밀 뇌 파의 높은 시간 해상도 결합 하 여 복합 방법을 모색 하지만이 방법의 복잡성은 현재 개선 필요. 여기에 제시 된 프로토콜 최근에 개발한 spatiotemporal fMRI 제한 된 뇌 파 소스를 이미징 소스 편견을 바로 잡기 위해 fMRI 하위 영역의 동적 모집을 통해 뇌 파 fMRI 소스 지역화를 개선 하고자 방법에 설명 합니다. 프로세스 검사, 3D 대뇌 피 질의 모델, 그리고 독립적인 EEG 및 fMRI 처리의 세대 동시 EEG 및 fMRI에서 복합 데이터 수집 시작합니다. 처리 된 fMRI 활성화 지도 다음 여러 priors, 그들의 위치 및 주변 지역으로 분할 됩니다. 이러한 뇌 파 소스 지역화에 대 한 2 단계 계층적 베이지안 알고리즘에서 priors로 가져옵니다. (운영자 정의)의 각 창에 대 한 fMRI 활성화 지도의 특정 세그먼트 식별 모델 증거로 알려진 매개 변수 최적화를 활성화. 이러한 크로스 토크를 감소 시키고 다른 조건에 따라 활성 fMRI 영역에서 잘못 된 활동을 피하고 메서드를 이미징 multimodal의 특이성을 증가 확인 된 대뇌 피 질의 활동에 부드러운 제약 조건으로 사용 됩니다. 메서드 생성 대뇌 피 질의 지도 활동 및 시간-과정의 최종 결과로 찍은 또는 메서드 동안 추가 분석 (상관 관계, 원인, 등의 분석)에 대 한 기준으로 사용 수 있습니다 (그것은 찾을 수 없습니다 그것의 형식에 의해 다소 제한 EEG-invisible 소스), 그것은 광범위 하 게 대부분의 주요 처리 소프트웨어와 호환 이며 대부분 neuroimaging 연구에 적합.

기본적인 수준에서 뇌 파 소스 지역화 앞으로 역 문제를 해결 하는 포함 한다. 구축 하 고 앞으로 문제를 해결 하는 데 필요한 구성 요소는 그림 5C에 표시 됩니다. 주제-특정 T1 이미지, 3 개의 층을 사용 하 여-뇌, 두개골, 그리고 피부-세그먼트 고 메쉬. 이러한 레이어 벰 모델 생성에 대 한 입력으로 제공 됩니다. 마찬가지로, 피사체의 회?...

Watch this Scientific Journal Video about Concurrent EEG and Functional MRI Recording and Integration Analysis for Dynamic Cortical Activity Imaging at JoVE.com

Concurrent EEG and Functional MRI Recording and Integration Analysis for Dynamic Cortical Activity Imaging

동시 뇌 파와 기능적 MRI 기록과 동적 대뇌 피 질의 활동 영상에 대 한 통합 분석

이미징 방법, 방법, 이미징 spatiotemporal fMRI 제한 된 뇌 파 소스 라고 하는 뇌 파 fMRI multimodal 여기 설명 되어 있습니다. 제시 방법 고용 조건에 따라 활성 fMRI 하위 지도, 또는 priors, 공간 특이성을 향상 하 고 잘못 된 결과 제한 하는 방식으로 뇌 파 소스 지역화 가이드.

Electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) are two of the fundamental noninvasive methods for identifying brain ...

This method can help answer key questions in the field of neuroscience, such as determining the temporal relationship between multiple brain regions or exploring the detailed neural pathway of complex cognitive processes. The main advantage of this technique is that it allows for the integration of multi-modal EEG and functional data in a spatial and a temporal specific manner to improve the resolution and accuracy of functional neuroimaging. The implications of this technique extends toward the understanding of epilepsy and neurocognitive disorders.Because the method improves on the spatial and temporal accuracy for noninvasive neuroimaging. Though this method can be used to provide insight to the visual motor and emotional processing systems, it can also be applied to other systems, such as sensorimotor integration, language, and memory processing. Visual demonstration of this method is critical, as the concurrent EEG and fMRI data recording steps can be difficult to learn.Also because the requirement for specialized facility, equipment, and signal processing methods. To begin this procedure, place an appropriately sized passive MRI-compatible EEG cap onto the subject's head. Position the electrodes as per the 10-20 international labeling system.In the EEG recording software, check the impedance of the ground and reference electrodes. To do this, click on the impedance tab and select the electrode type on the software user interface. Next, use the syringe to inject electrolyte get into each electrode.Then use a cotton swab to spread the gel to ensure skin-electrode contact. Once the EEG cap preparation is done, have the subject move to the MR scanner. Set up the experimental paradigm display on a monitor located in the observation room.Use a head coil viewing mirror to allow the subject to view the monitor screen without moving their head or eyes while lying down. Display a sample image on the computer screen to ensure that the subject can comfortably view the screen and that the paradigm will display properly. Make any necessary hardware or software adjustments.After that, instruct the subject to remain still and perform an initial T1 weighted anatomical MRI scan. If possible, use a field of view that reaches from the bottom of the cerebellum to the top of the head, including the skull and skin. Now, start recording the EEG data.Simultaneously click the appropriate buttons to begin the MRI recording and initiate the paradigm of interest on the presentation software. Check the EEG data recording to ensure signal quality, and if desired, appropriate markers are being recorded. To analyze the structural MRI data, use the available GUI to ensure that there is no overlap in the layers.Next, open the FreeView application. Click File, then Load Surface. Navigate to the subject's directory in the free surfer folder.Then, open the bem folder, followed by the watershed folder. Load the four files, outer skin surface, outer skull surface, brain surface, and inner skull surface. Subsequently, move the slice selection sliders and look for overlap in the yellow surface layers.If overlap does occur, double check the MRI data for anatomical defects or errors, and use the GUI drawing tools to clarify the layers. Afterward, load the original MRI data in the FreeView application by clicking File, then Load Volume. Navigate to the subject folder and open the mri folder.Then click on the original directory and open the structural mri data and click OK.Next, view the gray scale image of the head and look at the different layers of gray and black around the brain. Ensure that these layers do not have any gaps or irregularities. Use the color picker tool to select the Voxel from the layer to be corrected.Switch to the freehand voxel edit, and click to draw on the image. Use this procedure to fill in any defects in the MRI image. Perform correction for all layers and MRI slices where defects occur.Subsequently, perform subject-specific EEG sensor alignment to the MRI space using the free surfer head model overlay. Then, save the transformation. Open the MNE Analyze application.Click on File, then Load Surface. Navigate to the folder containing the subject data, and load the pial surface. Click File, then click Load digitizer data, and select the EEG file of interest.Click View and Show Viewer. Once the Viewer GUI appears, click Options and make sure that the scalp and digitizer data options are chosen. Electrodes here are shown in red with fiducial points in yellow.On the main window, select Adjust, then Coordinate alignment. Using the Coordinate alignment GUI, shift and rotate the EEG electrodes in the viewer with the arrow and left right buttons. Adjust as much as necessary.Once the alignment is done, click Save at the bottom of the Coordinate alignment GUI to save the alignment. For EEG data analysis, perform scanner gradient artifacts correction through template subtraction by clicking on the MR correction button in the special signal processing menu, and selecting appropriate parameters in the EEG analysis software GUI. To remove cardioballistic artifacts through template subtraction, click on the CB correction button in the special signal processing menu and select appropriate parameters in the analysis software GUI.Then, apply filtration under data filtration. Select the button for IIR filtration at the top of the analysis GUI. For example, apply high pass at 0.05 Hertz, low pass at 40 Hertz, and a notch filter at the power line frequency with a roll off of 48 decibels per Hertz.To perform ocular artifact correction, select Transformation, then Artifact rejection reduction, followed by ocular correction ICA. Next, segment the EEG data into epics based on the specified pre-and post-stimulus time with respect to the event timing markers by selecting Transformation, then segment analysis functions, followed by segmentation. Afterward, choose the marker of interest and the time segment of interest.Subsequently, perform manual or semi-automatic artifact rejection by selecting Transformation then Artifact rejection reduction in Artifact rejection. When prompted, define criteria for artifacts within the three tabs of the GUI and proceed as instructed. In the Inspection Method tab, choose automatically, semi-automatically, or manually select artifacts.Then select mark or remove artifacts and specify if the corrections are for a single channel. Next in the channel selection tab, select the channels which will be corrected for artifacts. In the Criteria tab, select the basis by which artifacts will be identified.Click OK after selecting criteria, and artifacts will be identified and/or rejected in accordance with the selections. To perform baseline correction, select Transformation then Segment analysis functions and baseline correction. And to average the segmented data, select Transformation, then segment analysis functions, and then average.First, the EEG epic of interest is divided into smaller time windows with pre-defined window and overlap sizes. Meanwhile, the fMRI activation map is subdivided into multiple regions of interest to be used as spatial priors for EEG source analysis. During each time window, an appropriate set of spatial priors will be selected for source localization.Combining these will yield the final time course of cortical activity for the entire EEG epic of interest. Here, reconstructed brain activity is shown comparing the new spatio-temporally specific fMRI constrained EEG source imaging on top, with the commonly used time invariant fMRI constraint source imaging on the bottom. Reconstructed brain activity is shown at several time points for one representative subject undergoing the visual motor activation paradigm.Localization results from the new method were more focal and aligned better with the expected brain regions. Here, the robustness of the method is tested by applying the method with different window sizes. Notice that the modest window sizes are fairly stable, while large window sizes show disparate results.Once mastered, the concurrent EEG and fMRI data recording session can be done in about three hours, and data analysis can be performed in two to three days if they are done properly. While attempting this procedure, it's important to remember to check your clock synchronization and triggers while recording. During the analysis, you should also pay attention to the parameters necessary to capture your activity of interest.Following this procedure, measures like EEG and functional MRI data analysis all-brain connectivity analysis can be performed in order to investigate the underlying connectivity structure or activity in the brain during cognitive tasks. After this development, this technique paved the way for researchers in the field of functional neuroimaging to explore the highly dynamic brain activity involved in complex cognitive processing and to study the detailed changes in neural pathways associated with neurological disorders. After watching this video, you should have a good understanding of how to conduct concurrent EEG and fMRI recording and to perform basics of spatial temporal fMRI constrained EEG socioanalysis.In order to reconstruct brain activity with high spatial temporal resolution and accuracy. Don't forget that working with participants and equipment in the MRI environment requires constant awareness about safety concerns. No unspecified metal objects should be brought into the MRI room, and all electrode impedances should be kept under 50 coulombs.

Research

JoVE Journal

Biology

Application of Light-cured Dental Adhesive Resin for Mounting Electrodes or Microdialysis Probes in Chronic Experiments

만성 실험에 장착 전극 또는 Microdialysis 프로브를위한 라이트 - 치료 치과 접착제 수지의 응용

In chronic recording experiments, self-curing dental acrylic resins have been used as a mounting base of electrodes or microdialysis-probes. Since these ...

연구

생물학

Labeling hESCs and hMSCs with Iron Oxide Nanoparticles for Non-Invasive in vivo Tracking with MR Imaging

이런 산화물로 hESCs과 hMSCs을 라벨링하는 MR 영상과 생체내 추적 비침습에 대한 Nanoparticles

In recent years, stem cell research has led to a better understanding of developmental biology, various diseases and its potential impact on regenerative ...

Labeling Stem Cells with Fluorescent Dyes for non-invasive Detection with Optical Imaging

광학 이미징과 비침습 감지를위한 형광 염료와 함께 줄기 세포를 라벨링

Optical imaging (OI) is an easy, fast and inexpensive tool for in vivo monitoring of new stem cell based therapies. The technique is based on ex vivo ...

Functional Imaging with Reinforcement, Eyetracking, and Physiological Monitoring

강화, Eyetracking 및 생리 감시 기능 이미징

We use functional brain imaging (fMRI) to study neural circuits that underlie decision-making.  To understand how outcomes affect decision processes, ...

Dissection of Hippocampal Dentate Gyrus from Adult Mouse

성인 마우스 Hippocampal 이가있는 이랑의 해부

The hippocampus is one of the most widely studied areas in the brain because of its important functional role in memory processing and learning, its ...

Robotics and Dynamic Image Analysis for Studies of Gene Expression in Plant Tissues

로보틱스 및 식물 조직에서 유전자 발현의 연구 동적 이미지 분석

Gene expression in plant tissues is typically studied by destructive extraction of compounds from plant tissues for in vitro analyses. The methods ...

Mutagenesis and Functional Analysis of Ion Channels Heterologously Expressed in Mammalian Cells

이온 채널의 돌연변이 유발과 기능 분석 Heterologously 포유 동물 세포에 표현

We will demonstrate how to study the functional effects of introducing a point mutation in an ion channel. We study G protein-gated inwardly rectifying ...

Rapid Analysis and Exploration of Fluorescence Microscopy Images

신속한 분석 및 형광 현미경 이미지의 탐사

Despite rapid advances in high-throughput microscopy, quantitative image-based assays still pose significant challenges. While a variety of specialized ...

Functional Reconstitution and Channel Activity Measurements of Purified Wildtype and Mutant CFTR Protein

정제 된 야생형과 돌연변이 체 CFTR 단백질의 기능의 재구성 및 채널 활동 측정

The Cystic Fibrosis Transmembrane Conductance Regulator (CFTR) is a unique channel-forming member of the ATP Binding Cassette (ABC) superfamily of ...

Implementation of a Coherent Anti-Stokes Raman Scattering (CARS) System on a Ti:Sapphire and OPO Laser Based Standard Laser Scanning Microscope

Implementation of a Coherent Anti-Stokes Raman Scattering CARS System on a Ti:Sapphire and OPO Laser Based Standard Laser Scanning Microscope

사파이어와 OPO 레이저 기반 표준 레이저 스캐닝 현미경 :에 Ti에 코 히어 런트 반 스톡스 라만 산란 (CARS) 시스템의 구현

Laser scanning microscopes combining a femtosecond Ti:sapphire laser and an optical parametric oscillator (OPO) to duplicate the laser line have become ...