Engemann DA - Search Results

1

Autoreject: Automated artifact rejection for MEG and EEG data.

Jas M, Engemann DA, Bekhti Y, Raimondo F, Gramfort A. Jas M, et al. Among authors: engemann da. Neuroimage. 2017 Oct 1;159:417-429. doi: 10.1016/j.neuroimage.2017.06.030. Epub 2017 Jun 20. Neuroimage. 2017. PMID: 28645840 Free PMC article.

2

Predictive regression modeling with MEG/EEG: from source power to signals and cognitive states.

Sabbagh D, Ablin P, Varoquaux G, Gramfort A, Engemann DA. Sabbagh D, et al. Among authors: engemann da. Neuroimage. 2020 Nov 15;222:116893. doi: 10.1016/j.neuroimage.2020.116893. Epub 2020 May 18. Neuroimage. 2020. PMID: 32439535 Free article.

3

A reusable benchmark of brain-age prediction from M/EEG resting-state signals.

Engemann DA, Mellot A, Höchenberger R, Banville H, Sabbagh D, Gemein L, Ball T, Gramfort A. Engemann DA, et al. Neuroimage. 2022 Nov 15;262:119521. doi: 10.1016/j.neuroimage.2022.119521. Epub 2022 Jul 26. Neuroimage. 2022. PMID: 35905809 Free article.

4

MNE software for processing MEG and EEG data.

Gramfort A, Luessi M, Larson E, Engemann DA, Strohmeier D, Brodbeck C, Parkkonen L, Hämäläinen MS. Gramfort A, et al. Among authors: engemann da. Neuroimage. 2014 Feb 1;86:446-60. doi: 10.1016/j.neuroimage.2013.10.027. Epub 2013 Oct 24. Neuroimage. 2014. PMID: 24161808 Free PMC article.

5

Automated model selection in covariance estimation and spatial whitening of MEG and EEG signals.

Engemann DA, Gramfort A. Engemann DA, et al. Neuroimage. 2015 Mar;108:328-42. doi: 10.1016/j.neuroimage.2014.12.040. Epub 2014 Dec 23. Neuroimage. 2015. PMID: 25541187

6

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

Jas M, Larson E, Engemann DA, Leppäkangas J, Taulu S, Hämäläinen M, Gramfort A. Jas M, et al. Among authors: engemann da. Front Neurosci. 2018 Aug 6;12:530. doi: 10.3389/fnins.2018.00530. eCollection 2018. Front Neurosci. 2018. PMID: 30127712 Free PMC article.

7

MEG and EEG data analysis with MNE-Python.

Gramfort A, Luessi M, Larson E, Engemann DA, Strohmeier D, Brodbeck C, Goj R, Jas M, Brooks T, Parkkonen L, Hämäläinen M. Gramfort A, et al. Among authors: engemann da. Front Neurosci. 2013 Dec 26;7:267. doi: 10.3389/fnins.2013.00267. eCollection 2013 Dec 26. Front Neurosci. 2013. PMID: 24431986 Free PMC article.

8

Reply: Replicability and impact of statistics in the detection of neural responses of consciousness.

Naccache L, Sitt J, King JR, Rohaut B, Faugeras F, Chennu S, Strauss M, Valente M, Engemann D, Raimondo F, Demertzi A, Bekinschtein T, Dehaene S. Naccache L, et al. Brain. 2016 Jun;139(Pt 6):e31. doi: 10.1093/brain/aww060. Epub 2016 Mar 26. Brain. 2016. PMID: 27017190 No abstract available.

9

Brain-heart interactions reveal consciousness in noncommunicating patients.

Raimondo F, Rohaut B, Demertzi A, Valente M, Engemann DA, Salti M, Fernandez Slezak D, Naccache L, Sitt JD. Raimondo F, et al. Among authors: engemann da. Ann Neurol. 2017 Oct;82(4):578-591. doi: 10.1002/ana.25045. Epub 2017 Oct 11. Ann Neurol. 2017. PMID: 28892566

10

Combining magnetoencephalography with magnetic resonance imaging enhances learning of surrogate-biomarkers.

Engemann DA, Kozynets O, Sabbagh D, Lemaître G, Varoquaux G, Liem F, Gramfort A. Engemann DA, et al. Elife. 2020 May 19;9:e54055. doi: 10.7554/eLife.54055. Elife. 2020. PMID: 32423528 Free PMC article.

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