脑功能可视化的新技术

Journal of Behavioral and Brain Science Pub Date : 2011-01-01 DOI:10.20821/JBS.37.0_47

Jie Zhao, Xuelong Jin

{"title":"脑功能可视化的新技术","authors":"Jie Zhao, Xuelong Jin","doi":"10.20821/JBS.37.0_47","DOIUrl":null,"url":null,"abstract":"Traditionally, we use CT and MRI to observe brain's structure,but there are many new ways to get the images of brain actMty. Currently Smart MR imaging TWo-photon Neuro Trace, Fluorescent Protein, Photostable quantum Connexin Statistical parametric The Short-'lerm Maximum Lyapunov Exponent (STLmax) fopographic Brain Activity Maps have been used to observe the brain.Next, make","PeriodicalId":15186,"journal":{"name":"Journal of Behavioral and Brain Science","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2011-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"New technologies for the visualization of brain function\",\"authors\":\"Jie Zhao, Xuelong Jin\",\"doi\":\"10.20821/JBS.37.0_47\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Traditionally, we use CT and MRI to observe brain's structure,but there are many new ways to get the images of brain actMty. Currently Smart MR imaging TWo-photon Neuro Trace, Fluorescent Protein, Photostable quantum Connexin Statistical parametric The Short-'lerm Maximum Lyapunov Exponent (STLmax) fopographic Brain Activity Maps have been used to observe the brain.Next, make\",\"PeriodicalId\":15186,\"journal\":{\"name\":\"Journal of Behavioral and Brain Science\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Behavioral and Brain Science\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.20821/JBS.37.0_47\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Behavioral and Brain Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.20821/JBS.37.0_47","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 0

摘要

传统上，我们使用CT和MRI来观察大脑的结构，但有许多新的方法来获得大脑活动的图像。目前，智能磁共振成像双光子神经痕迹、荧光蛋白、光稳定量子连接蛋白统计参数、短时最大李雅普诺夫指数(STLmax)脑活动图已被用于观察大脑。接下来,让

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

New technologies for the visualization of brain function

Traditionally, we use CT and MRI to observe brain's structure,but there are many new ways to get the images of brain actMty. Currently Smart MR imaging TWo-photon Neuro Trace, Fluorescent Protein, Photostable quantum Connexin Statistical parametric The Short-'lerm Maximum Lyapunov Exponent (STLmax) fopographic Brain Activity Maps have been used to observe the brain.Next, make

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

Journal of Behavioral and Brain Science

自引率

0.00%

发文量