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Multisubject, multimodal face processing

on000117 · 50 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 659 citations

2. 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 238 citations

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

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

   Cites dataset 199 citations

4. 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 199 citations

5. 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 178 citations

6. 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 140 citations

7. 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 68 citations

8. 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

9. 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

10. 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 38 citations

11. 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 25 citations

12. 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

13. MEG Source Imaging and Group Analysis Using VBMEG

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

    Cites dataset 17 citations

14. 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

15. 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 16 citations

16. 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

17. 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 15 citations

18. 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

19. 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 10 citations

20. 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

21. 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

22. 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

23. 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

24. 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

25. 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

26. 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

27. 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

28. 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

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

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

    Cites dataset 3 citations

30. 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

31. 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

32. 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

33. 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

34. 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

35. 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

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

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

    Cites dataset

37. 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

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

    Fatemeh Ghorbani · 2024 · Queensland University of Technology

    Cites dataset

39. Dataset for CuttingEEG 2021 - NeuroPycon tutorial

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

    Cites dataset

40. Dataset for CuttingEEG 2021 - NeuroPycon tutorial

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

    Cites dataset

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

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

    Cites dataset

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

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

    Cites dataset

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

    Pranay Yadav, Henson, Rik · 2022 · Figshare

    Cites dataset

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

    Pranay Yadav, Henson, Rik · 2022 · Figshare

    Cites dataset

45. Face processing fMRI data for Dynamic Causal Modelling

    Pranay Yadav, Henson, Rik · 2022 · Figshare

    Cites dataset

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

    Pranay Yadav, Henson, Rik · 2022 · Figshare

    Cites dataset

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

    Pranay Yadav, Henson, Rik · 2022 · Figshare

    Cites dataset

48. 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

49. Face processing EEG dataset for EEGLAB

    Wakeman, Daniel G., Henson, Richard N · 2026 · UC San Diego

    Cites dataset

50. Face processing MEEG dataset with HED annotation

    Daniel G. Wakeman, Richard N Henson, Dung Truong (curation), Kay Robbins (curation), Scott Makeig (curation), Arno Delorme (curation) · 2026 · n/a

    Cites dataset

No citations of that kind for this dataset.