1.zero reference for EEG and ERP（REST）

Free software at http://neuro.uestc.edu.cn/rest/

  Which reference is appropriate for the scalp ERP and EEG studies? This unsettled problem still inspires unceasing debate. The ideal reference should be the one with zero or constant potential but unfortunately it is well known that no point on the body fulfills this condition. Consequently, more than ten references are used in the present EEG-ERP studies. This diversity seriously undermines the reproducibility and comparability of results across laboratories. In 2001, we provided a new technique: the reference electrode standardization technique (REST) which may result in an approximate zero reference, and it has been confirmed repeatedly being the most competitive unipolar reference when compared with the popular average reference (AR), and linked-mastoids/ears reference (LM).

 Yao D (2001) A method to standardize a reference of scalp EEG recordings to a point at infnity. Physiol Meas 22:693–711. https://doi.org/10.1088/0967-3334/22/4/305

 Dong L, Li F, Liu Q et al (2017) MATLAB toolboxes for reference electrode standardization technique (REST) of Scalp EEG. Front Neurosci. https://doi.org/10.3389/fnins.2017.00601

 Yao D, Qin Y, Hu S, Dong L, Maria L. Bringas Vega, Pedro A. Valdés Sosa. Which Reference Should We Use for EEG and ERP practice? Brain Topography, https://doi.org/10.1007/s10548-019-00707-x (2019) (download free)

Simulation: same neural activities, different recordings when different references are adopted, and only REST with baseline close to constant zero.

 

 

2.NeuroPhysics of EEG

 Yao DZ (2000a) Electric potential produced by a dipole in a homogeneous conducting sphere. IEEE Trans Biomed Eng 47:964–966. https://doi.org/10.1109/10.846691

 Yao D, He B (2003) Equivalent physical models and formulation of equivalent source layer in high-resolution EEG imaging. Phys Med Biol 48:3475–3483. https://doi.org/10.1088/0031-9155/48/21/002

 Yao D (2017) Is the surface potential integral of a dipole in a volume conductor always zero? A cloud over the average reference of EEG and ERP. Brain Topogr 30:161–171. https://doi.org/10.1007/s10548-016-0543-x(download free)

Potential anywhere inside the sphere can be precisely calculated (Yao,2000).

 

 

 

3.EEG Inverse Problem

 Yao D, He B. A self-coherence enhancement algorithm and its application to enhancing three-dimensional source estimation from EEGs . Annals of Biomedical Engineering, 29(11)(2001), 1019 -1027.

 Xu P, Tian Y, Chen H, Yao D. Lp norm iterative sparse solution for EEG source localization. IEEE Transactions on Biomedical Engineering, 54(3)(2007), 400-409.
Zhang J, Raij T, Hamalainen M,  Yao D. MEG source localization using invariance of noise space.  PLo S  One, 8(3)(2013), e58408 .

 P Xu, Y Tian, X Lei, D Yao. Neuroelectric source imaging using 3SCO: A space coding algorithm based on particle swarm optimization and l0 norm constraint. NeuroImage 51 (1), 183-205,2010

 JC Bore, C Yi, P Li, F Li, DJ Harmah, Y Si, D Guo, D Yao, F Wan, P Xu. Sparse EEG Source Localization Using LAPPS: Least Absolute lP (0< p< 1) Penalized Solution. IEEE Transactions on Biomedical Engineering 10.1109/TBME.2018.2881092

The first L0 norm EEG inverse approach (Xu etal, NeuroImage, 2010)

4.Brain-apparatus conversation (Bacomics)

(a) Brain and computer

 Liao X,Yao D, Wu D,Li C. Combining spatial filters for the classification of single-trial EEG in a finger movement task.IEEE Trans BME, 54(5) (2007), 821-830

 Wu Z,Yao D. Frequency detection with stability coefficient for steady- state visual evoked potential (SSVEP) -based BCIs. Journal of Neural Engineering, 5(1) (2008), 36 -43.

  Lei X, Yang P, Yao D. An Empirical Bayesian Framework for Brain Computer Interfaces. IEEE Trans NSRE, 17(6) (2009), 521-529 (cover paper)

 Zhang Y, Xu P, Cheng K, Yao D. Multivariate synchronization index for frequency recognition of SSVEP -based brain – computer interface . Journal of Neuroscience M ethods , 221( 2014), 32 -40.

 Yangsong Zhang, Erwei Yin, Fali Li, Yu Zhang, Toshihisa Tanaka, Qibin Zhao, Yan Cui, Peng Xu, Dezhong Yao, Daqing Guo. Two-stage frequency recognition method based on correlated component analysis for SSVEP-based BCI. IEEE Transactions on Neural Systems and Rehabilitation Engineering 26 (7), 1314 – 1323, 2018

(b) Brain and Music, dance

 http://neuro.uestc.edu.cn/brainmusic.html

(c) Brain and video games

 D Gong, W Ma, J Gong, H He, L Dong, D Zhang, J Li, C Luo, D Yao. Action video game experience related to altered large-scale white matter networks. Neural plasticity 2017

 D Gong, H He, W Ma, D Liu, M Huang, L Dong, J Gong, J Li, C Luo, D Yao. Functional integration between salience and central executive networks: a role for action video game experience. Neural plasticity 2016

 D Gong, H He, D Liu, W Ma, L Dong, C Luo, D Yao. Enhanced functional connectivity and increased gray matter volume of insula related to action video game playing. Scientific reports 5, 9763, 2015

 N Qiu, W Ma, X Fan, Y Zhang, Y Li, Y Yan, Z Zhou, F Li, D Gong, D Yao. Rapid Improvement in Visual Selective Attention Related to Action Video Gaming Experience. Frontiers in human neuroscience 12, 47,2018

5.Multi-modal imaging and epilepsy、 schizophrenia、aging （AD）

 Lei X. ，Qiu C. ，X u P.，Yao D. A parallel framework for simultaneous EEG/fMRI analysis: Methodology and simulation. NeuroImage，52(3)( 2010)，1123 -1134.

 X Lei, P Xu, C Luo, J Zhao, D Zhou, D Yao. fMRI functional networks for EEG source imaging.Human brain mapping 32 (7), 1141-1160, 2011 (cover paper)

 Li Dong, Diankun Gong, Pedro A Valdes-Sosa, Yang Xia, Cheng Luo, Peng Xu, Dezhong Yao. Simultaneous EEG-fMRI: Trial Level Spatio-Temporal Fusion for Hierarchically Reliable Information Discovery. NeuroImage, 2014 , 99 , 28 -41.

 Dong L., Zhang Y., Zhang R., Zhang X., Gong D., Pedro A. Valdes-Sosa, Xu P ., Luo C., Yao D. Characterizing nonlinear relationships in functional imaging data using eigenspace maximal information canonical correlation an alysis (emiCCA ). NeuroImage， 2015 ,1-20

 C Luo, Q Li, Y Xia, X Lei, K Xue, Z Yao, Y Lai, W Liao, D Zhou, PA Valdes Sosa, QY Gong, D Yao. Resting state basal ganglia network in idiopathic generalized epilepsy.Human brain mapping 33 (6), 1279-1294,2012

 Yuchao Jiang, Cheng Luo, Xuan Li, Yingjia Li, Hang Yang, Jianfu Li, Xin Chang, Hechun Li, Huanghao Yang, Jijun Wang, Mingjun Duan, Dezhong Yao. White-matter functional networks changes in patients with schizophrenia. NeuroImage, 2019,172-181

 D Dong, M Duan, Y Wang, X Zhang, X Jia, Y Li, F Xin, D Yao, C Luo .Reconfiguration of dynamic functional connectivity in sensory and perceptual system in schizophrenia, Cerebral Cortex, 2018.

 Y Jiang, C Luo, X Li, M Duan, H He, X Chen, H Yang, J Gong, X Chang, ... Progressive reduction in gray matter in patients with schizophrenia assessed with MR imaging by using causal network analysis. Radiology 287 (2), 633-642, 2018

 M Chen, D Guo, T Wang, W Jing, Y Xia, P Xu, C Luo, PA Valdes-Sosa, D Yao. Bidirectional control of absence seizures by the Basal Ganglia: a computational evidence. PLoS Computational Biology 03/2014; 10(3):e1003495

 M Chen, D Guo, M Li, T Ma, S Wu, J Ma, Y Cui, Y Xia, P Xu, D Yao. Critical roles of the direct GABAergic pallido-cortical pathway in controlling absence seizures.PLoS computational biology 11 (10), e1004539,2015

 S Wu, Y Zhang, Y Cui, H Li, J Wang, L Guo, Y Xia, D Yao, P Xu, D Guo. Heterogeneity of synaptic input connectivity regulates spike-based neuronal avalanches. Neural Networks 110, 91-103, 2018

 D Guo, M Perc, T Liu, D Yao. Functional importance of noise in neuronal information processing. EPL (Europhysics Letters) 124 (5), 50001,2018

A new framework for generalized epilepsy: basal ganglia-cortico-thalamic network for absence epilepsy (Cheng etal, 2014)

7.Brainformatics/Neuroinformatics

 (platform for neuroinformation processing)

(1)WebBrain

  www.webrain.uestc.edu.cn

  Web based neural computation, neuro-signal processing

(2)Zero-reference (REST) free software

  neuro.uestc.edu.cn/rest/

(3)Software for information fusion of simultaneous EEG and fMRI

  neuro.uestc.edu.cn/NIT.html