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Multisubject, multimodal face processing

on000117 · 124 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 dataset 688 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 paper 656 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 paper 385 citations

4. Dynamic causal modelling revisited

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

   Cites paper 297 citations

5. 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 dataset 244 citations

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

   Matthias S. Treder · 2020 · Frontiers in Neuroscience

   Cites paper 243 citations

7. EEG is better left alone

   Arnaud Delorme · 2023 · Scientific Reports

   Cites paper 237 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 paper 227 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 dataset 202 citations

10. A multi-subject, multi-modal human neuroimaging dataset

    Daniel G. Wakeman, Richard N. Henson · 2015 · Scientific Data

    Cites dataset 201 citations

11. 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 dataset 180 citations

12. 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 paper 168 citations

13. 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 paper 145 citations

14. 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 dataset 142 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 paper 108 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 paper 96 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 paper 88 citations

18. Fast Optimal Transport Averaging of Neuroimaging Data

    Alexandre Gramfort, Gabriel Peyré, Marco Cuturi · 2015 · Lecture notes in computer science

    Cites paper 87 citations

19. 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 dataset 69 citations

20. 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 paper 69 citations

21. 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

22. 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 paper 60 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 paper 56 citations

24. 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 paper 54 citations

25. 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 paper 54 citations

26. 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 paper 43 citations

27. 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 paper 40 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 paper 40 citations

29. 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 dataset 39 citations

30. 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 dataset 39 citations

31. 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 paper 39 citations

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

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

    Cites paper 38 citations

33. 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 paper 38 citations

34. 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 paper 37 citations

35. 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 paper 34 citations

36. 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 dataset 34 citations

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

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

    Cites paper 33 citations

38. 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 paper 32 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 paper 29 citations

40. 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 dataset 28 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 dataset 26 citations

42. 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 paper 23 citations

43. Automagic: Standardized Preprocessing of Big EEG Data

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

    Cites paper 21 citations

44. 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 paper 21 citations

45. 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 paper 21 citations

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

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

    Cites 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 dataset 19 citations

48. 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 dataset 19 citations

49. Seven quick tips for analysis scripts in neuroimaging

    Marijn van Vliet · 2020 · PLoS Computational Biology

    Cites paper 18 citations

50. 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 paper 18 citations

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

    Zitong Lu, Yixuan Ku · 2023 · iScience

    Cites paper 17 citations

52. 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 paper 17 citations

53. MEG Source Imaging and Group Analysis Using VBMEG

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

    Cites dataset 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 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 dataset 16 citations

56. 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 paper 16 citations

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

    Antonio Maffei, Paola Sessa · 2021 · Neuroimage Reports

    Cites paper 15 citations

58. 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 dataset 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 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 paper 14 citations

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

    Muhammad Yousefnezhad, Daoqiang Zhang · 2017 · Cognitive Computation

    Cites paper 14 citations

62. Data visualization for inference in tomographic brain imaging

    Cyril Pernet, Christopher R. Madan · 2019 · European Journal of Neuroscience

    Cites paper 13 citations

63. Learning neural decoders without labels using multiple data streams

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

    Cites paper 13 citations

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

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

    Cites paper 12 citations

65. SPM—30 years and beyond

    Peter Zeidman, John Ashburner, Gareth R. Barnes, Olivia S. Kowalczyk, Christian Lambert, Vladimir Litvak, Thomas E. Nichols, Thomas Parr, Tim M. Tierney, Karl Friston · 2025 · Cerebral Cortex

    Cites paper 12 citations

66. 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 paper 12 citations

67. 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 paper 12 citations

68. 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 paper 11 citations

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

    Sofie Therese Hansen, Lars Kai Hansen · 2016 · NeuroImage

    Cites paper 11 citations

70. 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 paper 11 citations

71. Supervised Hyperalignment for Multisubject fMRI Data Alignment

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

    Cites paper 11 citations

72. 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 dataset 11 citations

73. Sensor array design of optically pumped magnetometers for accurately estimating source currents

    Yusuke Takeda, T. Gomi, Ryu Umebayashi, Sadamu Tomita, Keita Suzuki, Nobuo Hiroe, J. Saikawa, Tatsuya Munaka, Okito Yamashita · 2023 · NeuroImage

    Cites paper 10 citations

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

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

    Cites paper 10 citations

75. 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 paper 10 citations

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

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

    Cites paper 10 citations

77. Shared neural codes of recognition memory

    Géza Gergely Ambrus · 2024 · Scientific Reports

    Cites paper 10 citations

78. 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 dataset 10 citations

79. 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 dataset 9 citations

80. 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 paper 9 citations

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

    Keita Suzuki, Okito Yamashita · 2021 · NeuroImage

    Cites paper 9 citations

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

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

    Cites paper 9 citations

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

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

    Cites paper 9 citations

84. 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 paper 8 citations

85. Solving the Pervasive Problem of Protocol Non-Compliance in MRI using an Open-Source tool mrQA

    Harsh Sinha, Pradeep Reddy Raamana · 2024 · Neuroinformatics

    Cites dataset 6 citations

86. MEG-BIDS: an extension to the Brain Imaging Data Structure for magnetoencephalography

    Guiomar Niso, Krzysztof J. Gorgolewski, Elizabeth Bock, Teon L Brooks, Guillaume Flandin, Alexandre Gramfort, Richard N. Henson, Mainak Jas, Vladimir Litvak, Jeremy Moreau, Robert Oostenveld, Jan‐Mathijs Schoffelen, François Tadel, Joseph Wexler, Sylvain Baillet · 2017 · bioRxiv (Cold Spring Harbor Laboratory)

    Cites dataset 6 citations

87. 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 · bioRxiv (Cold Spring Harbor Laboratory)

    Cites dataset 6 citations

88. 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 · bioRxiv (Cold Spring Harbor Laboratory)

    Cites dataset 6 citations

89. Towards a Neurometric-based Construct Validity of Trust

    Pin‐Hao A. Chen, Dominic S. Fareri, Berna Güroğlu, Mauricio R. Delgado, Luke J. Chang · 2021 · bioRxiv (Cold Spring Harbor Laboratory)

    Cites dataset 5 citations

90. MEG/EEG group study with MNE: recommendations, quality assessments and best practices

    Mainak Jas, Eric B. Larson, Denis A. Engemann, Jaakko Leppäkangas, Samu Taulu, Matti Hämäläinen, Alexandre Gramfort · 2017 · bioRxiv (Cold Spring Harbor Laboratory)

    Cites dataset 5 citations

91. Electromagnetic Source Imaging via Bayesian Modeling With Smoothness in Spatial and Temporal Domains

    Jiawen Liang, Zhu Liang Yu, Zhenghui Gu, Yuanqing Li · 2022 · IEEE Transactions on Neural Systems and Rehabilitation Engineering

    Cites dataset 3 citations

92. Sensor Level Functional Connectivity Topography Comparison Between Different References Based EEG and MEG

    Yunzhi Huang, Junpeng Zhang, Yuan Cui, Gang Yang, Qi Liu, Guangfu Yin · 2018 · Frontiers in Behavioral Neuroscience

    Cites dataset 3 citations

93. Application of Empirical Mode Decomposition for Decoding Perception of Faces Using Magnetoencephalography

    Chun-Hsien Hsu, Ya-Ning Wu · 2021 · Sensors

    Cites dataset 3 citations

94. Solving the Pervasive Problem of Protocol Non-Compliance in MRI using an Open-Source tool <i>mrQA</i>

    Harsh Sinha, Harsh Sinha, Pradeep Reddy Raamana · 2023 · bioRxiv (Cold Spring Harbor Laboratory)

    Cites dataset 2 citations

95. Magnetoencephalographic source localization and reconstruction via deep learning

    Stefano Sellari Franceschini, Michele Ambrosanio, Maria Maddalena Autorino, Sohail Maqsood, Fabio Baselice · 2025 · Frontiers in Neuroscience

    Cites dataset 1 citations

96. Towards a Neurometric-based Construct Validity of Trust

    Pin‐Hao A. Chen, Dominic S. Fareri, Berna Güroğlu, Mauricio R. Delgado, Luke J. Chang · 2023 · n/a

    Cites dataset 1 citations

97. A large-scale heterogeneous 3D magnetic resonance brain imaging dataset for self-supervised learning

    Stefano Cerri, Asbjørn Munk, Sebastian Nørgaard Llambias, Jakob Ambsdorf, Julia Machnio, Vardan Nersesjan, Christian Hedeager Krag, Peirong Liu, Pablo Rocamora García, Mostafa Mehdipour Ghazi, Mikael Boesen, Michael E. Benros, Juan Eugenio Iglesias, Mads Nielsen · 2026 · Scientific Data

    Cites dataset

98. 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 · bioRxiv (Cold Spring Harbor Laboratory)

    Cites dataset

99. Stimulation-specific information is represented as local activity patterns across the brain

    Amirouche Sadoun, Tushar Chauhan, Samir Mameri, Yifan Zhang, Pascal Barone, Olivier Déguine, Kuzma Strelnikov · 2019 · bioRxiv (Cold Spring Harbor Laboratory)

    Cites dataset

100. Group-Based EEG Source Mapping of the Visual Cortex Using Adaptive MSP Localization

     Anwar Ali Gaho, Ahmed Muddassir Khan, Ahmed Memon, Abbas Musavi, Muhammad Abul Hassan, Shehla Honey · 2025 · Mehran University Research Journal of Engineering and Technology

     Cites dataset

101. Coupled generator decomposition for fusion of electro- and magnetoencephalography data

     Anders S. Olsen, Jesper Duemose Nielsen, Morten Mørup · 2024 · arXiv (Cornell University)

     Cites dataset

102. Correntropy-Based Improper Likelihood Model for Robust Electrophysiological Source Imaging

     Yuanhao Li, Badong Chen, Zhongxu Hu, Keita Suzuki, Wenjun Bai, Yasuharu Koike, Okito Yamashita · 2024 · arXiv (Cornell University)

     Cites dataset

103. The effect of familiarity, emotion, repetition on neural activity during visual face perception

     Fatemeh Ghorbani · 2024 · Queensland University of Technology

     Cites dataset

104. GFEX-EEG — Paper Analysis Code Bundle

     Michael McMahon, Michael Schukat, Enda Barrett · 2026 · Zenodo (CERN European Organization for Nuclear Research)

     Cites dataset

105. GFEX-EEG — Paper Analysis Code Bundle

     Michael McMahon, Michael Schukat, Enda Barrett · 2026 · Zenodo (CERN European Organization for Nuclear Research)

     Cites dataset

106. GFEX-EEG — Paper Analysis Code Bundle

     Michael McMahon, Michael Schukat, Enda Barrett · 2026 · Zenodo (CERN European Organization for Nuclear Research)

     Cites dataset

107. GFEX-EEG — Paper Analysis Code Bundle

     Michael McMahon, Michael Schukat, Enda Barrett · 2026 · Zenodo (CERN European Organization for Nuclear Research)

     Cites dataset

108. GFEX-EEG Validation Database: Brainstorm-tagged head models with manual helix-tragus-junction fiducials

     Michael McMahon, Michael Schukat, Enda Barrett · 2026 · Zenodo (CERN European Organization for Nuclear Research)

     Cites dataset

109. GFEX-EEG Validation Database: Brainstorm-tagged head models with manual helix-tragus-junction fiducials

     Michael McMahon, Michael Schukat, Enda Barrett · 2026 · Open MIND

     Cites dataset

110. SynthMRSI-Project: synthetic MRSI BIDS test dataset for MRSIPrep

     Federico Lucchetti, Edgar Céléreau, Raoul Jenni, Antoine Klauser, Patric Hagmann, Paul Klauser · 2026 · Open MIND

     Cites dataset

111. SynthMRSI-Project: synthetic MRSI BIDS test dataset for MRSIPrep

     Federico Lucchetti, Edgar Céléreau, Antoine Klauser, Patric Hagmann, Paul Klauser · 2026 · Zenodo (CERN European Organization for Nuclear Research)

     Cites dataset

112. SynthMRSI-Project: synthetic MRSI BIDS test dataset for MRSIPrep

     Federico Lucchetti, Edgar Céléreau, Raoul Jenni, Antoine Klauser, Patric Hagmann, Paul Klauser · 2026 · Zenodo (CERN European Organization for Nuclear Research)

     Cites dataset

113. Dataset for CuttingEEG 2021 - NeuroPycon tutorial

     Annalisa Pascarella · 2021 · Zenodo (CERN European Organization for Nuclear Research)

     Cites dataset

114. Dataset for CuttingEEG 2021 - NeuroPycon tutorial

     Annalisa Pascarella · 2021 · Zenodo (CERN European Organization for Nuclear Research)

     Cites dataset

115. Toolbox Bouquet - PracticalMEEG 2022 - NeuroPycon &amp; ephypype : Dataset

     Annalisa Pascarella · 2022 · Zenodo (CERN European Organization for Nuclear Research)

     Cites dataset

116. Toolbox Bouquet - PracticalMEEG 2022 - NeuroPycon &amp; ephypype : Dataset

     Annalisa Pascarella · 2022 · Zenodo (CERN European Organization for Nuclear Research)

     Cites dataset

117. Face processing M/EEG data for Dynamic Causal Modelling

     Pranay Yadav, Henson, Rik · 2022 · Figshare

     Cites dataset

118. Face processing M/EEG data for Dynamic Causal Modelling

     Pranay Yadav, Henson, Rik · 2022 · Figshare

     Cites dataset

119. Face processing fMRI data for Dynamic Causal Modelling

     Pranay Yadav, Henson, Rik · 2022 · Figshare

     Cites dataset

120. Face processing M/EEG data for Dynamic Causal Modelling

     Pranay Yadav, Henson, Rik · 2022 · Figshare

     Cites dataset

121. Face processing M/EEG data for Dynamic Causal Modelling (Faces vs Scrambled)

     Pranay Yadav, Henson, Rik · 2022 · Figshare

     Cites dataset

122. Reviewer #1 (Public Review): Towards a Neurometric-based Construct Validity of Trust

     Chen Pin-Hao A., Fareri Dominic, Güroğlu Berna, Delgado Mauricio R., Chang Luke J. · 2023 · n/a

     Cites dataset

123. eLife assessment: osl-dynamics, a toolbox for modeling fast dynamic brain activity

     Supratim Ray · 2024 · n/a

     Cites dataset

124. Reviewer #1 (Public Review): osl-dynamics, a toolbox for modeling fast dynamic brain activity

     n/a · 2024 · n/a

     Cites dataset

No citations of that kind for this dataset.