FieldTrip

FieldTrip is the MATLAB software toolbox for MEG and EEG analysis that is being developed by a team of researchers at the Donders Institute for Brain, Cognition and Behaviour in Nijmegen, the Netherlands in close collaboration with collaborating institutes. The development of FieldTrip currently receives support from the ChildBrain project and from the Netherlands Organization for Scientific Research (NWO) and has previously been supported by the Human Connectome project and BrainGain. The toolbox offers advanced analysis methods of MEG, EEG, and invasive electrophysiological data, such as time-frequency analysis, source reconstruction using dipoles, distributed sources and beamformers and non-parametric statistical testing. It supports the data formats of all major MEG systems (CTF, Elekta/Neuromag, 4D, Yokogawa) and of most popular EEG systems, and new formats can be added easily. FieldTrip contains high-level functions that you can use to construct your own analysis protocols in MATLAB. Furthermore, it easily allows developers to incorporate low-level algorithms for new EEG/MEG analysis methods.


References in zbMATH (referenced in 25 articles )

Showing results 1 to 20 of 25.
Sorted by year (citations)

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  1. Thomas P. Urbach; Andrey S. Portnoy: fitgrid: A Python package for multi-channel event-related time series regression modeling (2021) not zbMATH
  2. Tuckute, Greta; Hansen, Sofie Therese; Kjaer, Troels Wesenberg; Hansen, Lars Kai: Real-time decoding of attentional states using closed-loop EEG neurofeedback (2021)
  3. Fardin Ghorbani, Soheil Hashemi, Ali Abdolali, Mohammad Soleimani: EEGsig machine learning-based toolbox for End-to-End EEG signal processing (2020) arXiv
  4. Khan, Ameer Tamoor; Li, Shuai; Chen, Dechao; Li, Yangming: Open-source projects for autonomous robotics and systems: a survey (2020)
  5. Lila, Eardi; Arridge, Simon; Aston, John A. D.: Representation and reconstruction of covariance operators in linear inverse problems (2020)
  6. Andreas Nüßing, Maria Carla Piastra, Sophie Schrader, Tuuli Miinalainen, Heinrich Brinck, Carsten H. Wolters, Christian Engwer: duneuro - A software toolbox for forward modeling in neuroscience (2019) arXiv
  7. Pascarella, Annalisa; Pitolli, Francesca: An inversion method based on random sampling for real-time MEG neuroimaging (2019)
  8. Yousefi, Ali; Basu, Ishita; Paulk, Angelique C.; Peled, Noam; Eskandar, Emad N.; Dougherty, Darin D.; Cash, Sydney S.; Widge, Alik S.; Eden, Uri T.: Decoding hidden cognitive states from behavior and physiology using a Bayesian approach (2019)
  9. Fanny Grosselin; Xavier Navarro-Sune; Mathieu Raux; Thomas Similowski; Mario Chavez: CARE-rCortex: a Matlab toolbox for the analysis of CArdio-REspiratory-related activity in the Cortex (2018) arXiv
  10. Nüßing, Andreas: Fitted and unfitted finite element methods for solving the EEG forward problem (2018)
  11. Ortiz G., John E.; Pillain, Axelle; Rahmouni, Lyes; Andriulli, Francesco P.: A Calderon regularized symmetric formulation for the electroencephalography forward problem (2018)
  12. Ala, Guido; Fasshauer, Gregory E.; Francomano, Elisa; Ganci, Salvatore; McCourt, Michael J.: An augmented MFS approach for brain activity reconstruction (2017)
  13. Dhindsa, Kiret; Carcone, Dean; Becker, Suzanna: Toward an open-ended BCI: a user-centered coadaptive design (2017)
  14. Bossomaier, Terry; Barnett, Lionel; Harré, Michael; Lizier, Joseph T.: An introduction to transfer entropy. Information flow in complex systems (2016)
  15. Koulouri, Alexandra; Rimpiläinen, Ville; Brookes, Mike; Kaipio, Jari P.: Compensation of domain modelling errors in the inverse source problem of the Poisson equation: application in electroencephalographic imaging (2016)
  16. Ala, G.; Fasshauer, G.; Francomano, E.; Ganci, S.; McCourt, M.: The method of fundamental solutions in solving coupled boundary value problems for M/EEG (2015)
  17. Zhang, Jian; Liu, Chao: On linearly constrained minimum variance beamforming (2015)
  18. Joseph T. Lizier: JIDT: An information-theoretic toolkit for studying the dynamics of complex systems (2014) arXiv
  19. Ventrucci, Massimo; Bowman, Adrian W.; Miller, Claire; Gross, Joachim: Quasi-periodic spatiotemporal models of brain activation in single-trial MEG experiments (2014)
  20. Zhang, Jian; Liu, Chao; Green, Gary: Source localization with MEG data: a beamforming approach based on covariance thresholding (2014)

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Further publications can be found at: http://www.fieldtriptoolbox.org/publications