1.EEG dataset and Matlab script code for ‘Single-trial-based Temporal Principal Component Analysis on Extracting Event-related Potentials of Interest for an Individual Subject’
EEG dataset: (a) Experimental paradigm - Within-subject design with two-factor: Valence (extreme, moderate, and neutral) x Negative-category (disgusting and fearful) and the details can be found in (Lu et al., 2016). (b) Preprocessed EEG datasets for different participants - Sub#1; Sub#2; Sub#3; Sub#4; Sub#7; Sub#8; Sub#9; Sub#10; Sub#13; Sub#14; Sub#15; Sub#16; Sub#18; Sub#19; Sub#20; Sub#21; Sub#22; Sub#24; Sub#25; Sub#26.
Matlab script code: Four different techniqes are used to extract N2 of interest from 20 participants and P2 from 17 participants (Download Matlab script codes & Read me). (a) ‘Conventional time-domain analysis’: P2 and N2 are quantified from preprocessed ERP data directly at group analysis; (b) ‘Trial-averaged group PCA’: Both ERP components are measured from the averaged ERP data of all subject simultaneously by using temporal principal component analysis and Promax rotation. (c) ‘Single-trial-based group PCA’: Both ERP components are measured from the single-trial EEG data of all subject simultaneously by using temporal principal component analysis and Promax rotation. (d)’Within-subject PCA’: Both ERP components are separately quantified from the single-trial EEG of an individual using temporal principal component analysis and Promax rotation.
Citation: (a) Guanghui Zhang, Xueyan Li, Yingzhi Lu, Timo Tiihonen, Zheng Chang, and Fengyu Cong. (2022). Single-trial-based Temporal Principal Component Analysis on Extracting Event-related Potentials of Interest for an Individual Subject.Journal of Neuroscience Method. DOI:10.1016/j.jneumeth.2022.109768. (b) Yingzhi Lu,Yu Luo,Yi Lei,Kyle J. Jaquess,Chenglin Zhou and Hong Li. (2016). Decomposing valence intensity effects in disgusting and fearful stimuli: an event-related potential study. Social neuroscience, 11(6), 618-626. DOI:10.1080/17470919.2015.1120238. (c) Guanghui Zhang, Xueyan Li, and Fengyu Cong (2020). Objective Extraction of Evoked Event-Related Oscillation from Time-Frequency Representation of Event-Related Potentials, Neural Plasticity, vol. 2020, Article ID 8841354, 20 pages. DOI:10.1155/2020/8841354.
2.Other Matlab script codes
Toolbox: Evoked ERP_ERO_v1.1. (a) Author:Guanghui Zhang, and Fengyu Cong. (b) Introduction: This toolbox provides some advanced signal processing and analysis methods based on temporal principal component analysis (t-PCA)/morlet continuous wavelet transform to rapidly and objectively extract the event-related potential (ERP)/event-related oscillation (ERO) of interest from the averaged ERP dataset at group-level(Download toolbox: Evoked ERP ERO_V1.1 /Download demo datasets / Download codes for forming a fourth-order tensor). Please add EEGLAB, for example, eeglab14_1_2b, into Matlab path before use this toolbox to process ERP signals. (c) Signal type for processing: The averaged signal, a fourth-order tensor, is collected from the within-subject (one-factor, two-factor, three-factor) or between-subject (two-factor, three-factor) experiment designs. (d) Function: Using t-PCA and Promax rotation/continuous wavelet transform to extract the ERPs/EROs of interest from the original input/the filtered signal (FFT filter or wavelet filter), and exporting the data at the specific electrodes with the time-window of interest as an excel file, which can be imported to SPSS. (e) Cite this toolbox: Guanghui Zhang, Xueyan Li, and Fengyu Cong. Objective Extraction of Evoked Event-Related Oscillation from Time-Frequency Representation of Event-Related Potentials, Neural Plasticity, vol. 2020, Article ID 8841354, 20 pages. DOI:10.1155/2020/8841354.
Principal component analysis (PCA): Group PCA analysis for single trial EEG data or averaged ERP data; Individual-subject PCA analysis (See 1.EEG datasets and Matlab script codes for’Single-trial-based Temporal Principal Component Analysis on Extracting Event-related Potentials of Interest for an Individual Subject’).
Tensor decomposition: Nonnegative canonical polyadic decomposition (NCPD); Nonnegative Tucker decomposition(NTD).
Repeated measurement analysis of variance (rm-ANOVA): Within-subject analysis includes one factor, two factors, and three factors; Between-subject analysis contains two factors and three factors (Not avaliable).
3.Journal and conference papers
Guanghui Zhang & Stven J. Luck (2023). Variations in ERP Data Quality Across Paradigms, Participants, and Scoring Procedures. Psychophysiology, DOI:10.1111/psyp.14264.
Guanghui Zhang, Xueyan Li, Yingzhi Lu, Timo Tiihonen, Zheng Chang, and Fengyu Cong (2022). Single-trial-based Temporal Principal Component Analysis on Extracting Event-related Potentials of Interest for an Individual Subject. Journal of Neuroscience Methods, 109768. DOI:10.1016/j.jneumeth.2022.109768.
Guanghui Zhang, Chi Zhang, Shuo Cao, Xue Xia, Xin Tan, Lichengxi Si, Chenxin Wang, Xiaochun Wang, Chenglin Zhou, Tapani Ristaniemi, and Fengyu Cong (2020). Multi-domain Features of the Non-phase-locked Component of Interest Extracted from ERP Data by Tensor Decomposition. Brain Topography, 33(1), 37-47. DOI: 10.1007/s10548-019-00750-8.
Guanghui Zhang, Xueyan Li, and Fengyu Cong (2020) Objective Extraction of Evoked Event-Related Oscillation from Time-Frequency Representation of Event-Related Potentials, Neural Plasticity, vol. 2020, Article ID 8841354, 20 pages. DOI:10.1155/2020/8841354
Guanghui Zhang, Lili Tian, Huaming Chen, Peng Li, Tapani Ristaniemi, Huili Wang, Hong Li, Hongjun Chen, and Fengyu Cong (2018). Effect of parametric variation of center frequency and bandwidth of morlet wavelet transform on time-frequency analysis of event-related potentials. In Chinese intelligent systems conference (pp. 693-702). Springer, Singapore. DOI: 10.1007/978-981-10-6496-8_63.
Xue Xia, Guanghui Zhang, and Xiaochun Wang. Anger weakens behavioral inhibition selectively in contact athletes. Frontiers in Human Neuroscience 12 (2018): 463. DOI: 10.3389/fnhum.2018.00463.
XueYan Li, HuiLi Wang, Pertti Saariluoma, GuangHui Zhang, YongJie Zhu, Chi Zhang，YuCong Feng，and Tapani Ristaniemi (2019). Processing Mechanism of Chinese Verbal Jokes: Evidence from ERP and Neural Oscillations. Journal of Electronic Science and Technology, 17(3), 260-277. DOI: 10.11989/JEST.1674-862X.80520017.
Xiawen Li, Guanghui Zhang, Chenglin Zhou, and Xiaochun Wang. (2019). Negative emotional state slows down movement speed: behavioral and neural evidence. PeerJ, 7, e7591. DOI: 10.7717/peerj.7591.
Jiacheng Chen,Yanan Li, Guanghui Zhang, Xinhong Jin,Yingzhi Lua, and Chenglin Zhou (2019). Enhanced inhibitory control during re-engagement processing in badminton athletes: An event-related potential study. Journal of Sport and Health Science, 8(6), 585-594. DOI: 10.1016/j.jshs.2019.05.005.
Shuo Cao, Yanzhang Wang, Huili Wang, Hongjun Chen, Guanghui Zhang, and Kritikos Ada (2020). A Facilitatory Effect of Perceptual Incongruity on Target-Source Matching in Pictorial Metaphors of Chinese Advertising: EEG Evidence. Advances in Cognitive Psychology, 16(1), 1. DOI: 10.5709/acp-0279-z.
Jiaxin Yu, Yan Wang, Jianling Yu, Guanghui Zhang, and Fengyu Cong (2020). Nudge for justice: An ERP investigation of default effects on trade-offs between equity and efficiency. Neuropsychologia. DOI:10.1016/j.neuropsychologia.2020.107663.
Yingying Wang, Qingchun Ji, Rao Fu, Guanghui Zhang, Yingzhi Lu, and Chenglin Zhou(2021). Hand‐related action words impair action anticipation in expert table tennis players: Behavioral and neural evidence. Psychophysiology, e13942. DOI:10.1111/psyp.13942.
Xiaoshuang Wang, Guanghui Zhang, Ying Wang, Lin Yang, Zhanhua Liang, and Fengyu Cong. (2022). One-Dimensional Convolutional Neural Networks Combined with Channel Selection Strategy for Seizure Prediction Using Long-Term Intracranial EEG. International Journal of Neural Systems, 32(02), 2150048. DOI:10.1142/S0129065721500489.
XueyanLi, JiayiSun, HuiliWang, QianruXu, GuanghuiZhang, and XiaoshuangWang. (2022). Dynamic impact of intelligence on verbal-humor processing: Evidence from ERPs and EROs. Journal of Neurolinguistics, 62, 101057. DOI:10.1016/j.jneuroling.2022.101057.
Xiawen Li, Yu Zhou, Guanghui Zhang, Yingzhi Lu, Chenglin Zhou, and Hongbiao Wang. (2022). Behavioral and Brain Reactivity Associated With Drug-Related and Non-Drug-Related Emotional Stimuli in Methamphetamine Addicts. Frontiers in Human Neuroscience, 16. DOI:10.3389/fnhum.2022.894911.
Guanghui Zhang, David R. Garrett, Aaron M. Simmons, John E. Kiat, & Steven J. Luck (2023). Evaluating the Effectiveness of a Common Approach to Artifact Correction and Rejection in Event-related Potential Research. bioRxiv, 2023-09.DOI:10.1101/2023.09.16.558075.
Guanghui Zhang, David R. Garrett & Stven J. Luck. (2023). Optimal Filters for ERP Research II: Recommended Settings for Seven Common ERP Components. bioRxiv, 2023-06. DOI:10.1101/2023.06.13.544794.
Guanghui Zhang, David R. Garrett & Stven J. Luck. (2023). Optimal Filters for ERP Research I: A General Approach for Selecting Filter Settings. bioRxiv, 2023-05. DOI:10.1101/2023.05.25.542359.
Reza Mahini,Guanghui Zhang,Tiina Parviainen,Rainer Düsing,Asoke Nandi,Fengyu Cong & Timo Hämäläinen (2023). Brain Evoked Response Qualification Using Multi-set Consensus Clustering: Toward Single-trial EEG Analysis. Authorea. September 29, 2023. DOI:10.22541/au.169600882.28722374/v1.
Liting Song, Guanghui Zhang*, Xiaoshuang Wang, Lan Ma, Johanna Silvennoinen & Fengyu Cong (2023). Does artistic training affect color perception? A study of ERPs and EROs in experiencing colors of different brightness. DOI:10.21203/rs.3.rs-3060012/v1.
Guanghui Zhang, Methods to extract multi-dimensional features of event-related brain activities from EEG data, University of Jyväskylä, Finland. August 12 2021 (Download dissertation).
Feiyang Shen, Event-related Potential Based Brain Connectivity Analysis in Hyperscanning (Download it) (the contents are in Chinese and the PCA analysis in this thesis is based on the ERP_ERO toolbox).