• REST (Reference Electrode Standardization Technique)


       REST (Reference Electrode Standardization Technique) is a software for translating multichannel continuous and event-related EEG recordings with reference at any a physical point on body surface or the post-processed data referenced at average or linked ears etc to a new dataset with reference at Infinity where the potential is zero....

  • Scale-free Brain Music


       Music is a form of art, which is from the brain and simultaneously affects the brain. To great research interest, the relationships between music and human have been concerned in both science fields and art fields. The electroencephalogram(EEG) can monitor brain activities, and the brainwaves are similar...

  • Neuroscience Information Toolbox (NIT)

    2015-06-04 [Latest version: V1.3_20180716]

       Neuroscience Information Toolbox is a convenient toolkit for EEG-fMRI multimodal fusion, fMRI data preprocessing and analyzing. Using the NIT to analyze your data, you can do: ♦ Batch processing of the fMRI data analysis; ♦ Data preprocessing based on SPM8; ♦ Removing nuisance signals from fMRI data such as linear trend, head motion, white, CSF and global signals, and band-pass filtering; ♦ Calculating functional connectivity density (FCD);....

  • Epilepsy Related Work


       Epilepsy is the name of a brain disorder characterized predominantly by recurrent and unpredictable interruptions of normal brain function, called epileptic seizures. According to the characteristics of seizures and clinical manifestations, it can be divided into focal epilepsy and generalized epilepsy. The etiology of epilepsy is complex and the pathological mechanism is unclear. Over the past two decades , the magnetic resonance imaging (MRI) technology and electroencephalogram (EEG) have been widely used to investigate epilepsy. An increasing number of evidence has been presented to reveal the potential illness mechanism....

  • Spatio-Temporal Consistency


       Brain is amazing. We may understand the brain function spatio-temporally as we understand the time and space. Here, we hypothesized that the local functional brain consistency could contain two aspects: a temporal correlation between voxels and a local spatial correlation between neighboring time points...

  • eigenspace maximal information Canonical Correlation Analysis (emiCCA)


       Many important problems in the analysis of neuroimages can be formulated as discovering the relationship between two sets of variables, such as the relations between the X matrix comprising the time courses of a spatial independent component analysis (spatial ICA) of task-related fMRI data, and the Y matrix of time courses of assumed BOLD response (the design matrix)...

  • Causal Inference Based on the Analysis of Events of Relations


       The main concept behind causality involves both statistical conditions and temporal relations. However, various current approaches to causal inference, focusing on probability vs. conditional probability, are based on model functions or parametric estimations. These approaches are not appropriate when addressing non-stationary variables. In this work, we propose a Causal inference approach based on the analysis of Events of Relations (CER)....

  • EEG Network Analysis (ENA) system based on Matlab GUI


       Based on Electroencephalogram (EEG), neuroimaging technologies and network analysis approaches are widely used to discover the brain's secret. Also it has many a time been regarded an important role for development of the brain-computer interaction that is used on intelligent robots, unmanned aerial vehicles, brain communications in the future. Most studies have showed that the interactions among different brain areas contribute to the ability of the brain in processing the corresponding information, while the diseases are also reported to be closely related to the connections among the whole brain structures...

  • Neuroimaging-Based Classification of Subtypes (NBCS)


       In the processing of neuroimaging data, a large number of data with different characteristics are often processed and the data is divided according to different requirements. In response to this problem, we have developed an integrated software package to facilitate a more systematic and complete solution to this problem.The Neuroimaging-Based Classification of Subtypes(NBCS) is a toolbox for multimodal magnetic resonance image data analysis based on Matlab...

  • Noise-Assisted Multivariate Empirical Mode Decomposition (NA-MEMD)


       Empirical Mode Decomposition (EMD)-based approaches have been popularized in biosignal processings such as Electroencephalograph (EEG), Electromyography (EMG), and Functional Magnetic Resonance Imaging (fMRI). Ensemble Empirical Mode Decomposition (EEMD) was widely used for single-channel-based signal processing as it can effectively extract the temporal information of time series. However, it cannot well address the temporal and spatial characteristics in relation to multichannel signals. Accordingly, the multivariate extension of EMD (MEMD) has been developed to deal with multichannel biosignals, specifically for the applications of EEG-based brain-computer interface as well as researches on fMRI....

  • 【图书】脑功能探测的电学理论与方法


       简介:了解大脑,认识人类自身是当前科技界的一个前沿交叉领域。从工程科学的角度探测、分析和模仿大脑的功能是近年的一个研究热点。现有的脑功能探测手段包括:正电子发射断层成像技术(PET),功能磁共振成像技术(MRI),脑电图(EEG)和脑磁图(NEG)等。这些技术各有特点,其中脑电的特点是,既能用于研究外来刺激下的功能反应,也能用来研究自发的功能状态,且是一种完全无创、无危险和费用相对低廉的方法。本书以作者近十年中开展的有关研究工作为基础,并结合近年研习的部分文献资料写成。该书力图系统地展示脑功能探测电学方法新技术的概貌,为充分发挥它在脑功能研究中的潜能出一份力。 书中介绍的一些在脑电研究中发展起来的独特方法,有可能对从事地球物理与遥感等反演研究,甚至从事优化研究的数学工作者也有一定的参考价值....

  • 【图书】神经信息学基础(四川省2015年图书出版重点规划项目)



  • 【图书】癫痫磁共振成像研究



  • 版权所有:神经信息教育部重点实验室
  • 地址:四川省成都市建设北路二段四号电子科技大学      邮编:610054
  • 电子邮件:neuro@uestc.edu.cn
  • All Copy Rights Reserved 2014