Software    |     Hardware    |     Patents for Invention    |     Copyright of Software


3.0 Tesla Siemens Prisma MRI Scanner
The Faculty of Psychology operates an MRI testing facility that includes a Siemens 3T Prisma (Magnetom Prisma, Siemens Healthineers, Erlangen, Germany).
The Prisma (3T) unit has the following coils, which are receive-only:
? 20 channel head/neck coil = 16 channel head + 4 channel neck
? 32 channel head coil
? 64 channel head/neck coil = 48 channel head + 16 channel neck
A system configured with up to 64 receiver channels comprised of up to 204 coil elements with up to 128 independent RF channels. It has has a 60 cm bore diameter and a 50x50x50 cm3 imaging field of view. It offers Diffusion Tensor Imaging (DTI) with up to 256 directions, Diffusion Spectrum Imaging (DSI) with up to 514 diffusion directions, remarkable flow sensitivity and time-resolved Angiography with XR 80/200, fully integrated funtional MRI/DTI evaluation, enhanced iPAT performance, powerful shimming with multinuclear spectroscopy, TimTX TrueShape and syngo ZOOMit with high resolution Diffusion Weighted Imaging (DWI) and long-term signal stability for demanding research sequences.
EEG-fMRI system
The Center operates a research dedicated EEG facility. We employ a 64-channel, active electrode BrainAmp (BrainAmp MR plus, Brain products, Munich, Germany) EEG setup and all recordings are performed in an acoustically and electrically shielded chamber. The lab is equipped with E-Prime and Cogent stimulation systems. For data processing, we have available the software packages EEGLAB, Curry, MNE, BESA, Brain Vision Analyzer, etc. Center has focused on the latter approach and has setup state-of-the-art systems for EEG-fMRI since the year 2011. We used BrainVision Analyzer 2 to offline as well as real-time gradient and pulse artifact correction.
Sleep lab and Polysomnography (PSG)
Overnight polysomnography in the sleep center employes a model EEG-9200K polygraph (Nihon Kohden, Tokyo, Japan), recording six channels of EEG, two channels of EOG, three channels of EMG, one channel each of ECG, air flow, thoracic and abdominal respiratory motion, snoring and finger pulse oximetry.
Wireless Ambulatory PSG
We currently extended PSG studies with the COMPUMEDICS® somte PSG system. It is small, lightweight and provides wireless transmission for flexibility in PSG recording. 25 avilable channels, include 6 x EEG, 2 x EOG, 2 x Chin EMG, ECG – with Thoracic Impedance option, Airflow from Pressure transducer, Snore. Sampling Rate: 1-200Hz. See COMPUMEDICS webpage for more information.
Wireless activity monitor
We have 20 activity monitors: ActiGraph's new Bluetooth Smart wGT3X-BT. It offers the most advanced communication, data capture, screening and analysis features in the industry, while delivering the validated physical activity and sleep/wake measurements on which our clients depend.
It provides objective 24 hour physical activity and sleep/wake measurements including raw acceleration, energy expenditure, MET rates, steps taken, physical activity intensity, heart rate R-R intervals, subject position, total sleep time, sleep efficiency, and ambient light levels. See ActiGraph webpage for more information.


1. REsting-state COrtex Rhythms (RECOR)    (WinRAR file, 27M)


Resting-state cortex rhythms (RECOR) is a toolbox to estimate the power of EEG rhythms in the eight large-scale brain networks [Lei et al. 2011; Lei 2012]. It is design for resting-state EEG study, and can compute:

i. The power spectrum and topography of EEG signal. The rhythms includes: delta (2–4 Hz), theta (4–8 Hz), alpha1 (8–10.5 Hz), alpha2 (10.5–13 Hz), beta1 (13–20 Hz), beta2 (20–30 Hz), and gamma (30–40 Hz).

ii. The current density in the cortex for each rhythm. Because resting-state fMRI spatial information is used for EEG course localization, our algorithm is quite efficient when compared to other inverse methods like MMN, LORETA and MSP.
iii. EEG spectral power density for each rhythm in eight large-scale brain networks: visual, somatomotor, dorsal attention, ventral attention, limbic, fronto-parietal, default networks and deep brain structure.


2. Scale-free Index    (matlab code,1.5K, download by right-click ==> Save as)
Electrophysiological and hemodynamic studies revealed that spontaneous brain activity is characterized by scale-free dynamics, whose frequency spectra follow a power-law distribution (figure in the left). This has been typically interpreted as a feature that underlies the property of the brain to flexibly reorganize on sub-second temporal scales to allow the rapid execution of mental processes. Here are two studies based on this method:
1a.Extraversion is Encoded by Scale-free Dynamics of Default Mode Network NeuroImage 2013download PDF file
1b.Brain Scale-free Properties in Awake Rest and NREM Sleep: A Simultaneous EEG/fMRI Study Brain Top. 2015

3. Spatial–Temporal EEG/fMRI Fusion (STEFF toolbox)    (WinRAR file, 19M)

This toolbox is design to simulate the simultaneous EEG and fMRI recordings. We assumed 6 neural sources to yield scalp EEG recordings and fMRI scans. Four sources are common sources for both EEG and fMRI (S1-S4), and there is one source blind to EEG (S5) and fMRI (S6), respectively. In total, eight key features are simulated: for neural activity the features included the single trial amplitude and distribution maps; for EEG these include scalp potential distribution, single trial images and ERP transient responses; for fMRI the features included the spatial distribution, region-specific HRFs and BOLD signals. With very small modification, you can have your simulation of simultaneous EEG-fMRI.

In 2010, we used this toolbox to illustrate a new fusion method based on Independent Component Analysis (ICA). Spatial–Temporal EEG/fMRI Fusion (STEFF) enables information from one modality to be utilized as priors for the other and hence improves the spatial (for EEG) or temporal (for fMRI) resolution of the other modality. Consequently, STEFF achieves flexible and sparse matching among EEG and fMRI components with common neuronal substrates. Simulations under realistic noise conditions have indicated that STEFF is a feasible and physiologically reasonable hybrid approach for spatiotemporal mapping of cognitive processing in the human brain. For detials, see

Xu Lei, Chuan Qiu, Peng Xu, Dezhong Yao. A parallel framework for simultaneous EEG/fMRI analysis: Methodology and simulation. NeuroImage. Sep 2010 52(3): PDF file

Patents for Invention

Title: A source imaging method for event-related potential
PATENT NO: ZL 201210282893.4
Inventors: Xu Lei; Zhiying Zhao


公开日期:2012.10.24 公开号:CN102743166A

Copyright Records of Software

Title: Resting-state NEtwork-based SOurce Imaging (rsNESOI 1.0)
Certificate ID: 0451878
Register number: 2012SR083842
Holder: Xu Lei
Title: A localization system of brain motor function region based on simultaneous EEG-fMRI (hEEGfMRI V1.0)
Certificate ID: 1559148
Register number: 2016SR380532
Holder: Xu Lei
Title: Sleep scoring and spindle search toolbox
Certificate ID: 03905371
Register number: 2019SR0423195
Holder: Xu Lei, Wei Duan
Title: A localization system of brain motor function region based on simultaneous EEG-fMRI (hEEGfMRI V1.0)
Certificate ID: 8181837
Register number: 2021SR1459211
Holder: Xu Lei


1. 软件名称:基于同步EEG-fMRI的大脑运动功能区定位系统V1.0
开发完成日期:2016年03月20日    权利获得方式:原始获得    权利范围:全部权利
登记号:2016SR380532        证书号:软著登字第1559148号

2. 软件名称:脑电静息态源定位软件[简称:rsNESOI]1.0
开发完成日期:2012年04月25日    权利获得方式:原始获得    权利范围:全部权利
登记号:2012SR083842        证书号:软著登字第0451878号

3. 软件名称:睡眠自动分期与纺锤波搜索软件V1.0
开发完成日期:2018年08月23日    权利获得方式:原始获得    权利范围:全部权利
登记号:2019SR0423195        证书号:软著登字第3843952号

4. 软件名称:静息态EEG绩效评估系统[简称:困倦评估系统] V1.0
开发完成日期:2021年08月05日    权利获得方式:原始获得    权利范围:全部权利
登记号:2021SR1459211        证书号:软著登字第8181837号