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The reflection of cognitive tasks in EEG and MRI and a method of its visualization.脑电图和磁共振成像中认知任务的反映及其可视化方法。
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Spatio-temporal visually evoked scalp potentials in response to partial-field patterned stimulation.响应局部视野模式刺激的时空视觉诱发电位头皮电位
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Mapping of scalp potentials by surface spline interpolation.通过表面样条插值法绘制头皮电位图。
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Seeing through the skull: advanced EEGs use MRIs to accurately measure cortical activity from the scalp.透过颅骨观察:先进的脑电图利用核磁共振成像精确测量头皮下的皮质活动。
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An approach to a synopsis of EEG parameters, morphology of brain convolutions and mental activities.一种关于脑电图参数、脑回形态和心理活动概要的方法。
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用脑电图活动图对人类大脑进行三维重建纹理化处理。

Texturing 3D-reconstructions of the human brain with EEG-activity maps.

作者信息

Dimitrov L I

机构信息

Institute of Information Processing, Austrian Academy of Sciences, Vienna, Austria.

出版信息

Hum Brain Mapp. 1998;6(4):189-202. doi: 10.1002/(SICI)1097-0193(1998)6:4<189::AID-HBM1>3.0.CO;2-#.

DOI:10.1002/(SICI)1097-0193(1998)6:4<189::AID-HBM1>3.0.CO;2-#
PMID:9704260
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6873380/
Abstract

A method for representing the results of statistical EEG analysis in a visually comprehensive and concentrated way is presented. It consists of a combination of scattered data interpolation, texture mapping, and volume rendering techniques. First, starting with an EEG study of the proband in question, a smoothly interpolated rectangular map of the EEG findings in the (phi, theta)-domain (phi and theta denote spherical coordinates) is calculated. Then, using the data from an accompanying MRI scan, volume-rendered representations of the brain with a pseudo-colored cortical surface, vividly depicting the precalculated EEG-activities, are produced. Custom-developed software was used for interpolating the EEG maps from the scattered data samples, as well as for mapping and rendering them together with the brain volume data. The algorithm which achieves the scattered data interpolation is a genuine development employing Delaunay triangulation and a modification of the well-known rotation-invariant Phong interpolation. The pictures produced by the presented method are currently being utilized in neurophysiology for detecting correlations between EEG-parameters, cortical morphology, and underlying mental activities.

摘要

本文提出了一种以视觉上全面且集中的方式呈现脑电图统计分析结果的方法。它由散乱数据插值、纹理映射和体绘制技术相结合而成。首先,从对相关先证者的脑电图研究开始,计算出在(φ,θ)域(φ和θ表示球坐标)中脑电图结果的平滑插值矩形图。然后,利用伴随的磁共振成像扫描数据,生成具有伪彩色皮质表面的大脑体绘制表示,生动地描绘预先计算出的脑电活动。定制开发的软件用于从散乱数据样本中插值脑电图图,以及将它们与脑体积数据一起进行映射和渲染。实现散乱数据插值的算法是一项真正的开发成果,采用了德劳内三角剖分和对著名的旋转不变冯氏插值的改进。所提出方法生成的图片目前正在神经生理学中用于检测脑电参数、皮质形态和潜在心理活动之间的相关性。