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Face processing EEG dataset for EEGLAB

on002718 · 88 high-confidence citations

1. FastSurfer - A fast and accurate deep learning based neuroimaging pipeline

   Leonie Henschel, Sailesh Conjeti, Santiago Estrada, Kersten Diers, Bruce Fischl, Martin Reuter · 2020 · NeuroImage

   Cites data paper 659 citations

2. Autoreject: Automated artifact rejection for MEG and EEG data

   Mainak Jas, Denis A. Engemann, Yousra Bekhti, Federico Raimondo, Alexandre Gramfort · 2017 · NeuroImage

   Cites data paper 630 citations

3. The OpenNeuro resource for sharing of neuroscience data

   Christopher J Markiewicz, Krzysztof J Gorgolewski, Franklin Feingold, Ross Blair, Yaroslav O Halchenko, Eric Miller, Nell Hardcastle, Joe Wexler, Oscar Esteban, Mathias Goncavles, Anita Jwa, Russell Poldrack · 2021 · eLife

   Cites data paper 373 citations

4. Dynamic causal modelling revisited

   Karl Friston, Katrin H. Preller, Christoph Mathys, Hayriye Cagnan, Jakob Heinzle, Adeel Razi, Peter Zeidman · 2017 · NeuroImage

   Cites data paper 295 citations

5. MVPA-Light: A Classification and Regression Toolbox for Multi-Dimensional Data

   Matthias S. Treder · 2020 · Frontiers in Neuroscience

   Cites data paper 241 citations

6. MEG/EEG Group Analysis With Brainstorm

   François Tadel, Elizabeth Bock, Guiomar Niso, John C. Mosher, Martin Cousineau, Dimitrios Pantazis, Richard M. Leahy, Sylvain Baillet · 2019 · Frontiers in Neuroscience

   Cites data paper 238 citations

7. EEG is better left alone

   Arnaud Delorme · 2023 · Scientific Reports

   Cites data paper 230 citations

8. Task-Evoked Dynamic Network Analysis Through Hidden Markov Modeling

   Andrew J. Quinn, Diego Vidaurre, Romesh Abeysuriya, Robert Becker, Anna C. Nobre, Mark W. Woolrich · 2018 · Frontiers in Neuroscience

   Cites data paper 220 citations

9. From ERPs to MVPA Using the Amsterdam Decoding and Modeling Toolbox (ADAM)

   Johannes J. Fahrenfort, Joram van Driel, Simon van Gaal, Christian N. L. Olivers · 2018 · Frontiers in Neuroscience

   Cites data paper 199 citations

10. MEG-BIDS, the brain imaging data structure extended to magnetoencephalography

    Guiomar Niso, Krzysztof J. Gorgolewski, Elizabeth Bock, Teon L Brooks, Guillaume Flandin, Alexandre Gramfort, Richard N. Henson, Mainak Jas, Vladimir Litvak, Jeremy T. Moreau, Robert Oostenveld, Jan‐Mathijs Schoffelen, François Tadel, Joseph Wexler, Sylvain Baillet · 2018 · Scientific Data

    Cites data paper 178 citations

11. Evolving Signal Processing for Brain–Computer Interfaces

    Scott Makeig, Christian Kothe, Tim Mullen, Nima Bigdely-Shamlo, Zhilin Zhang, Kenneth Kreutz-Delgado · 2012 · Proceedings of the IEEE

    Cites data paper 164 citations

12. Algorithmic procedures for Bayesian MEG/EEG source reconstruction in SPM

    José David López, Vladimir Litvak, Jairo Espinosa, Karl Friston, Gareth R. Barnes · 2013 · NeuroImage

    Cites data paper 145 citations

13. A Reproducible MEG/EEG Group Study With the MNE Software: Recommendations, Quality Assessments, and Good Practices

    Mainak Jas, Eric B. Larson, Denis A. Engemann, Jaakko Leppäkangas, Samu Taulu, Matti Hämäläinen, Alexandre Gramfort · 2018 · Frontiers in Neuroscience

    Cites data paper 140 citations

14. Detecting and representing predictable structure during auditory scene analysis

    Ediz Sohoglu, Maria Chait · 2016 · eLife

    Cites data paper 128 citations

15. <scp>ENIGMA HALFpipe</scp> : Interactive, reproducible, and efficient analysis for resting‐state and task‐based <scp>fMRI</scp> data

    Lea Waller, Susanne Erk, Elena Pozzi, Yara J. Toenders, Courtney C. Haswell, Marc Büttner, Paul M. Thompson, Lianne Schmaal, Rajendra A. Morey, Henrik Walter, Ilya M. Veer · 2022 · Human Brain Mapping

    Cites data paper 106 citations

16. Towards an objective evaluation of EEG/MEG source estimation methods – The linear approach

    Olaf Hauk, Matti Stenroos, Matthias S. Treder · 2022 · NeuroImage

    Cites data paper 94 citations

17. Estimating the Timing of Cognitive Operations With MEG/EEG Latency Measures: A Primer, a Brief Tutorial, and an Implementation of Various Methods

    Heinrich R. Liesefeld · 2018 · Frontiers in Neuroscience

    Cites data paper 86 citations

18. The open EEGLAB portal Interface: High-Performance computing with EEGLAB

    Ramón Martínez-Cancino, Arnaud Delorme, Dung Truong, Fiorenzo Artoni, Kenneth Kreutz-Delgado, Subhashini Sivagnanam, Kenneth Yoshimoto, Amitava Majumdar, Scott Makeig · 2020 · NeuroImage

    Cites data paper 68 citations

19. Automated rejection and repair of bad trials in MEG/EEG

    Mainak Jas, Denis A. Engemann, Federico Raimondo, Yousra Bekhti, Alexandre Gramfort · 2016 · n/a

    Cites data paper 68 citations

20. From BIDS-Formatted EEG Data to Sensor-Space Group Results: A Fully Reproducible Workflow With EEGLAB and LIMO EEG

    Cyril Pernet, Ramón Martínez-Cancino, Dung Truong, Scott Makeig, Arnaud Delorme · 2021 · Frontiers in Neuroscience

    Cites dataset 62 citations

21. MEG source reconstruction based on identification of directed source interactions on whole-brain anatomical networks

    Makoto Fukushima, Okito Yamashita, Thomas R. Knösche, Masa-aki Sato · 2014 · NeuroImage

    Cites data paper 60 citations

22. Using generative models to make probabilistic statements about hippocampal engagement in MEG

    Sofie S. Meyer, Holly E. Rossiter, Matthew J. Brookes, Mark W. Woolrich, Sven Bestmann, Gareth R. Barnes · 2017 · NeuroImage

    Cites data paper 54 citations

23. Robust EEG/MEG Based Functional Connectivity with the Envelope of the Imaginary Coherence: Sensor Space Analysis

    José M. Sánchez‐Bornot, KongFatt Wong‐Lin, Alwani Liyana Ahmad, Girijesh Prasad · 2018 · Brain Topography

    Cites data paper 54 citations

24. Bayesian fusion and multimodal DCM for EEG and fMRI

    Huilin Wei, Amirhossein Jafarian, Peter Zeidman, Vladimir Litvak, Adeel Razi, Dewen Hu, Karl Friston · 2020 · NeuroImage

    Cites data paper 53 citations

25. Localization of Active Brain Sources From EEG Signals Using Empirical Mode Decomposition: A Comparative Study

    Pablo A. Muñoz-Gutiérrez, Eduardo Giraldo, Maximiliano Bueno-López, Marta Molinas · 2018 · Frontiers in Integrative Neuroscience

    Cites data paper 43 citations

26. Open multimodal iEEG-fMRI dataset from naturalistic stimulation with a short audiovisual film

    Julia Berezutskaya, Mariska J. Vansteensel, Erik J. Aarnoutse, Zachary V. Freudenburg, Giovanni Piantoni, Mariana P. Branco, Nick F. Ramsey · 2022 · Scientific Data

    Cites data paper 39 citations

27. Analysis of Functional Connectivity and Oscillatory Power Using DICS: From Raw MEG Data to Group-Level Statistics in Python

    Marijn van Vliet, Mia Liljeström, Susanna Aro, Riitta Salmelin, Jan Kujala · 2018 · Frontiers in Neuroscience

    Cites data paper 39 citations

28. The impact of improved MEG–MRI co-registration on MEG connectivity analysis

    Federico Chella, Laura Marzetti, Matti Stenroos, Lauri Parkkonen, Risto J. Ilmoniemi, Gian Luca Romani, Vittorio Pizzella · 2019 · NeuroImage

    Cites data paper 39 citations

29. NeuroPycon: An open-source python toolbox for fast multi-modal and reproducible brain connectivity pipelines

    David Meunier, Annalisa Pascarella, Dmitrii Altukhov, Mainak Jas, Etienne Combrisson, Tarek Lajnef, Daphné Bertrand-Dubois, Vanessa Hadid, Golnoush Alamian, Jordan Alves, Fanny Barlaam, Anne-Lise Saive, Arthur Dehgan, Karim Jerbi · 2020 · NeuroImage

    Cites data paper 39 citations

30. Multimodal Integration of M/EEG and f/MRI Data in SPM12

    Richard N. Henson, Hunar Abdulrahman, Guillaume Flandin, Vladimir Litvak · 2019 · Frontiers in Neuroscience

    Cites data paper 38 citations

31. Forward models demonstrate that repetition suppression is best modelled by local neural scaling

    Arjen Alink, Hunar Abdulrahman, Richard N. Henson · 2018 · Nature Communications

    Cites data paper 38 citations

32. Bayesian Electromagnetic Spatio-Temporal Imaging of Extended Sources Based on Matrix Factorization

    Ke Liu, Zhu Liang Yu, Wei Wu, Zhenghui Gu, Jun Zhang, Ling Cen, Srikantan S. Nagarajan, Yuanqing Li · 2019 · IEEE Transactions on Biomedical Engineering

    Cites data paper 38 citations

33. Full body mobile brain-body imaging data during unconstrained locomotion on stairs, ramps, and level ground

    Justin Brantley, Trieu Phat Luu, Sho Nakagome, Fangshi Zhu, José L. Contreras-Vidal · 2018 · Scientific Data

    Cites data paper 37 citations

34. Low-Density EEG for Neural Activity Reconstruction Using Multivariate Empirical Mode Decomposition

    Andrés Soler, Pablo A. Muñoz-Gutiérrez, Maximiliano Bueno-López, Eduardo Giraldo, Marta Molinas · 2020 · Frontiers in Neuroscience

    Cites data paper 34 citations

35. Capturing the nature of events and event context using hierarchical event descriptors (HED)

    Kay A. Robbins, Dung Truong, Stefan Appelhoff, Arnaud Delorme, Scott Makeig · 2021 · NeuroImage

    Cites data paper 33 citations

36. Multi-subject MEG/EEG source imaging with sparse multi-task regression

    H. Janati, Thomas Bazeille, B. Thirion, Marco Cuturi, Alexandre Gramfort · 2019 · NeuroImage

    Cites data paper 33 citations

37. OpenNeuro: An open resource for sharing of neuroimaging data

    Christopher J. Markiewicz, Krzysztof J. Gorgolewski, Franklin Feingold, Ross Blair, Yaroslav O. Halchenko, Éric Miller, Nell Hardcastle, Joe Wexler, Oscar Estéban, Mathias Goncalves, Anita S. Jwa, Russell A. Poldrack · 2021 · bioRxiv (Cold Spring Harbor Laboratory)

    Cites data paper 32 citations

38. Repetition priming and repetition suppression: Multiple mechanisms in need of testing

    Stephen J. Gotts, Carson C. Chow, Alex Martin · 2012 · Cognitive Neuroscience

    Cites data paper 31 citations

39. Structural and functional multi-platform MRI series of a single human volunteer over more than fifteen years

    Simon Duchesne, Louis Dieumegarde, Isabelle Chouinard, Farnaz Farokhian, AmanPreet Badhwar, Pierre Bellec, Pascal Tétreault, Maxime Descoteaux, Arnaud Boré, Jean‐Christophe Houde, Christian Beaulieu, Olivier Potvin · 2019 · Scientific Data

    Cites data paper 29 citations

40. Enhancing visual motion discrimination by desynchronizing bifocal oscillatory activity

    Roberto Salamanca-Giron, Estelle Raffin, Sarah B. Zandvliet, Martin Seeber, Christoph M. Michel, Paul Sauseng, Krystel R. Huxlin, Friedhelm C. Hummel · 2021 · NeuroImage

    Cites data paper 27 citations

41. Building FAIR Functionality: Annotating Events in Time Series Data Using Hierarchical Event Descriptors (HED)

    Kay A. Robbins, Dung Truong, Alexander Jones, Ian Callanan, Scott Makeig · 2021 · Neuroinformatics

    Cites data paper 25 citations

42. osl-dynamics, a toolbox for modeling fast dynamic brain activity

    Chetan Gohil, R. Huang, Evan Roberts, Mats W.J. van Es, Andrew J. Quinn, Diego Vidaurre, Mark W. Woolrich · 2023 · eLife

    Cites data paper 25 citations

43. Empirical Bayes evaluation of fused EEG-MEG source reconstruction: Application to auditory mismatch evoked responses

    Françoise Lecaignard, Olivier Bertrand, Anne Caclin, Jérémie Mattout · 2020 · NeuroImage

    Cites data paper 23 citations

44. Automagic: Standardized Preprocessing of Big EEG Data

    Andreas Pedroni, Amirreza Bahreini, Nicolas Langer · 2018 · bioRxiv (Cold Spring Harbor Laboratory)

    Cites data paper 21 citations

45. Group-Level Multivariate Analysis in EasyEEG Toolbox: Examining the Temporal Dynamics Using Topographic Responses

    Jinbiao Yang, Hao Zhu, Xing Tian · 2018 · Frontiers in Neuroscience

    Cites data paper 21 citations

46. Data-driven forward model inference for EEG brain imaging

    Sofie Therese Hansen, Søren Hauberg, Lars Kai Hansen · 2016 · NeuroImage

    Cites data paper 19 citations

47. Influence of EEG References on N170 Component in Human Facial Recognition

    Yi Wang, Hua Huang, Hao Yang, Jian Xu, Site Mo, Hongyu Lai, Ting Wu, Junpeng Zhang · 2019 · Frontiers in Neuroscience

    Cites data paper 19 citations

48. Evaluation of Brain Source Localization Methods Based on Test-Retest Reliability With Multiple Session EEG Data

    Xuewei Qin, Lizhao Du, Xiong Jiao, Jingyi Wang, Shanbao Tong, Tifei Yuan, Junfeng Sun · 2023 · IEEE Transactions on Biomedical Engineering

    Cites data paper 19 citations

49. Revisiting the effective connectivity within the distributed cortical network for face perception

    Roman Kessler, Kristin M. Rusch, Kim C. Wende, Verena Schuster, Andreas Jansen · 2021 · Neuroimage Reports

    Cites data paper 18 citations

50. Bridging the gap between EEG and DCNNs reveals a fatigue mechanism of facial repetition suppression

    Zitong Lu, Yixuan Ku · 2023 · iScience

    Cites dataset 17 citations

51. Group-level spatio-temporal pattern recovery in MEG decoding using multi-task joint feature learning

    Seyed Mostafa Kia, Fabian Pedregosa, Anna Blumenthal, Andrea Passerini · 2017 · Journal of Neuroscience Methods

    Cites data paper 17 citations

52. MEG Source Imaging and Group Analysis Using VBMEG

    Yusuke Takeda, Keita Suzuki, Mitsuo Kawato, Okito Yamashita · 2019 · Frontiers in Neuroscience

    Cites data paper 17 citations

53. osl-ephys: a Python toolbox for the analysis of electrophysiology data

    Mats W.J. van Es, Chetan Gohil, Andrew J. Quinn, Mark W. Woolrich · 2025 · Frontiers in Neuroscience

    Cites data paper 17 citations

54. Imaging brain extended sources from EEG/MEG based on variation sparsity using automatic relevance determination

    Ke Liu, Zhu Liang Yu, Wei Wu, Zhenghui Gu, Yuanqing Li · 2020 · Neurocomputing

    Cites data paper 16 citations

55. Electromagnetic Source Imaging With a Combination of Sparse Bayesian Learning and Deep Neural Network

    Jiawen Liang, Zhu Liang Yu, Zhenghui Gu, Yuanqing Li · 2023 · IEEE Transactions on Neural Systems and Rehabilitation Engineering

    Cites data paper 16 citations

56. Time-resolved connectivity reveals the “how” and “when” of brain networks reconfiguration during face processing

    Antonio Maffei, Paola Sessa · 2021 · Neuroimage Reports

    Cites data paper 15 citations

57. Performance of Nested vs. Non-Nested SVM Cross-Validation Methods in Visual BCI: Validation Study

    Mohammed J. Abdulaal, Alexander J. Casson, Patrick Gaydecki · 2018 · n/a

    Cites data paper 15 citations

58. Dynamic network analysis of electrophysiological task data

    Chetan Gohil, Oliver Kohl, Rukuang Huang, Mats W.J. van Es, Ōiwi Parker Jones, Laurence T. Hunt, Andrew J. Quinn, Mark W. Woolrich · 2024 · Imaging Neuroscience

    Cites data paper 15 citations

59. Effects of face repetition on ventral visual stream connectivity using dynamic causal modelling of fMRI data

    Sung-Mu Lee, Roni Tibon, Peter Zeidman, Pranay S. Yadav, Richard N. Henson · 2022 · NeuroImage

    Cites data paper 14 citations

60. Event-related components are structurally represented by intrinsic event-related potentials

    Chong-Chih Tsai, Wei-Kuang Liang · 2021 · Scientific Reports

    Cites data paper 14 citations

61. Anatomical Pattern Analysis for Decoding Visual Stimuli in Human Brains

    Muhammad Yousefnezhad, Daoqiang Zhang · 2017 · Cognitive Computation

    Cites data paper 14 citations

62. Learning neural decoders without labels using multiple data streams

    Steven Peterson, Rajesh P. N. Rao, Bingni W. Brunton · 2022 · Journal of Neural Engineering

    Cites data paper 13 citations

63. Local Discriminant Hyperalignment for multi-subject fMRI data alignment

    Muhammad Yousefnezhad, Daoqiang Zhang · 2016 · bioRxiv (Cold Spring Harbor Laboratory)

    Cites data paper 12 citations

64. Does function fit structure? A ground truth for non-invasive neuroimaging

    Claire Stevenson, Matthew J. Brookes, José David López, Luzia Troebinger, Jérémie Mattout, W.D. Penny, Peter G. Morris, Arjan Hillebrand, Richard N. Henson, Gareth R. Barnes · 2014 · NeuroImage

    Cites data paper 12 citations

65. fMRI-SI-STBF: An fMRI-informed Bayesian electromagnetic spatio-temporal extended source imaging

    Ke Liu, Zhu Liang Yu, Wei Wu, Xun Chen, Zhenghui Gu, Cuntai Guan · 2021 · Neurocomputing

    Cites data paper 12 citations

66. Enhanced Data Covariance Estimation Using Weighted Combination of Multiple Gaussian Kernels for Improved M/EEG Source Localization

    J. D. Martínez-Vargas, Leonardo Duque‐Muñoz, J. F. Vargas‐Bonilla, José David López, G. Castellanos-Domínguez · 2019 · International Journal of Neural Systems

    Cites data paper 11 citations

67. Spatio-temporal reconstruction of brain dynamics from EEG with a Markov prior

    Sofie Therese Hansen, Lars Kai Hansen · 2016 · NeuroImage

    Cites data paper 11 citations

68. Combining electro- and magnetoencephalography data using directional archetypal analysis

    Anders S. Olsen, Rasmus M. T. Høegh, Jesper Løve Hinrich, Kristoffer H. Madsen, Morten Mørup · 2022 · Frontiers in Neuroscience

    Cites data paper 11 citations

69. Supervised Hyperalignment for Multisubject fMRI Data Alignment

    Muhammad Yousefnezhad, Alessandro Selvitella, Liangxiu Han, Daoqiang Zhang · 2020 · IEEE Transactions on Cognitive and Developmental Systems

    Cites data paper 10 citations

70. Brain Connectivity Analysis for EEG-Based Face Perception Task

    Debashis Das Chakladar, Nikhil R. Pal · 2024 · IEEE Transactions on Cognitive and Developmental Systems

    Cites data paper 10 citations

71. EEG extended source imaging with structured sparsity and $$L_1$$-norm residual

    Furong Xu, Ke Liu, Zhuliang Yu, Xin Deng, Guoyin Wang · 2021 · Neural Computing and Applications

    Cites data paper 10 citations

72. Structural connectivity to reconstruct brain activation and effective connectivity between brain regions

    Brahim Belaoucha, Théodore Papadopoulo · 2020 · Journal of Neural Engineering

    Cites data paper 10 citations

73. Editorial: From Raw MEG/EEG to Publication: How to Perform MEG/EEG Group Analysis With Free Academic Software

    Arnaud Delorme, Robert Oostenveld, François Tadel, Alexandre Gramfort, Srikantan S. Nagarajan, Vladimir Litvak · 2022 · Frontiers in Neuroscience

    Cites data paper 10 citations

74. Computing Phase Amplitude Coupling in EEGLAB: PACTools

    Ramón Martínez-Cancino, Arnaud Delorme, Kenneth Kreutz-Delgado, Scott Makeig · 2020 · 2020 IEEE 20th International Conference on Bioinformatics and Bioengineering (BIBE)

    Cites data paper 10 citations

75. Stimulus-specific information is represented as local activity patterns across the brain

    Amirouche Sadoun, Tushar Chauhan, Samir Mameri, Yi Fan Zhang, Pascal Barone, Olivier Déguine, Kuzma Strelnikov · 2020 · NeuroImage

    Cites data paper 9 citations

76. μ-STAR: A novel framework for spatio-temporal M/EEG source imaging optimized by microstates

    Feng Zhao, Sujie Wang, Linze Qian, Mengru Xu, Kuijun Wu, Iοannis Kakkos, Cuntai Guan, Yu Sun · 2023 · NeuroImage

    Cites data paper 9 citations

77. MEG current source reconstruction using a meta-analysis fMRI prior

    Keita Suzuki, Okito Yamashita · 2021 · NeuroImage

    Cites data paper 9 citations

78. Decoding brain cognitive activity across subjects using multimodal M/EEG neuroimaging

    Sarwat Fatima, Awais M. Kamboh · 2017 · n/a

    Cites data paper 9 citations

79. Shared neural codes of recognition memory

    Géza Gergely Ambrus · 2024 · Scientific Reports

    Cites data paper 9 citations

80. Inter-Subject MEG Decoding for Visual Information with Hybrid Gated Recurrent Network

    Jingcong Li, Jiahui Pan, Fei Wang, Zhuliang Yu · 2021 · Applied Sciences

    Cites data paper 9 citations

81. Solving large-scale MEG/EEG source localization and functional connectivity problems simultaneously using state-space models

    J. Bornot, R. Sotero, J. Kelso, Özgür Simsek, D. Coyle · 2022 · NeuroImage

    Cites data paper 8 citations

82. ElectroEncephaloGraphy robust statistical linear modelling using a single weight per trial

    Cyril Pernet, Guillaume A. Rousselet, Ignacio Más, Ramon Martinez, Rand R. Wilcox, Arnaud Delorme · 2021 · bioRxiv (Cold Spring Harbor Laboratory)

    Cites dataset 6 citations

83. Bridging the Gap: Exploring Neural Mechanisms of Facial Repetition Suppression through EEG and DCNNs

    Zitong Lu, Yixuan Ku · 2023 · bioRxiv (Cold Spring Harbor Laboratory)

    Cites dataset

84. Autopoietic Cycles in Encephalography: Model Validation on Open Data

    Sergei Surnin · 2026 · Zenodo (CERN European Organization for Nuclear Research)

    Cites dataset

85. Autopoietic Cycles in Encephalography: Model Validation on Open Data

    Sergei Surnin · 2026 · Zenodo (CERN European Organization for Nuclear Research)

    Cites dataset

86. Autopoietic Cycles in Encephalography: Model Validation on Open Data

    Sergei Surnin · 2026 · Zenodo (CERN European Organization for Nuclear Research)

    Cites dataset

87. Autopoietic cycles in encephalography: testing the predictions of the structure on open data

    Sergei Surnin · 2026 · Zenodo (CERN European Organization for Nuclear Research)

    Cites dataset

88. Autopoietic cycles in encephalography: testing the predictions of the structure on open data

    Sergei Surnin · 2026 · Zenodo (CERN European Organization for Nuclear Research)

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