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Items: 1 to 20 of 42

1.

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

Niso G, Gorgolewski KJ, Bock E, Brooks TL, Flandin G, Gramfort A, Henson RN, Jas M, Litvak V, T Moreau J, Oostenveld R, Schoffelen JM, Tadel F, Wexler J, Baillet S.

Sci Data. 2018 Jun 19;5:180110. doi: 10.1038/sdata.2018.110.

2.

Boutiques: a flexible framework to integrate command-line applications in computing platforms.

Glatard T, Kiar G, Aumentado-Armstrong T, Beck N, Bellec P, Bernard R, Bonnet A, Brown ST, Camarasu-Pop S, Cervenansky F, Das S, Ferreira da Silva R, Flandin G, Girard P, Gorgolewski KJ, Guttmann CRG, Hayot-Sasson V, Quirion PO, Rioux P, Rousseau MÉ, Evans AC.

Gigascience. 2018 May 1;7(5). doi: 10.1093/gigascience/giy016.

3.

Analysis of family-wise error rates in statistical parametric mapping using random field theory.

Flandin G, Friston KJ.

Hum Brain Mapp. 2017 Nov 1. doi: 10.1002/hbm.23839. [Epub ahead of print]

PMID:
29091338
4.

Reconstructing anatomy from electro-physiological data.

López JD, Valencia F, Flandin G, Penny W, Barnes GR.

Neuroimage. 2017 Dec;163:480-486. doi: 10.1016/j.neuroimage.2017.06.049. Epub 2017 Jul 4.

5.

Functional Sensitivity of 2D Simultaneous Multi-Slice Echo-Planar Imaging: Effects of Acceleration on g-factor and Physiological Noise.

Todd N, Josephs O, Zeidman P, Flandin G, Moeller S, Weiskopf N.

Front Neurosci. 2017 Mar 29;11:158. doi: 10.3389/fnins.2017.00158. eCollection 2017.

6.

BIDS apps: Improving ease of use, accessibility, and reproducibility of neuroimaging data analysis methods.

Gorgolewski KJ, Alfaro-Almagro F, Auer T, Bellec P, Capotă M, Chakravarty MM, Churchill NW, Cohen AL, Craddock RC, Devenyi GA, Eklund A, Esteban O, Flandin G, Ghosh SS, Guntupalli JS, Jenkinson M, Keshavan A, Kiar G, Liem F, Raamana PR, Raffelt D, Steele CJ, Quirion PO, Smith RE, Strother SC, Varoquaux G, Wang Y, Yarkoni T, Poldrack RA.

PLoS Comput Biol. 2017 Mar 9;13(3):e1005209. doi: 10.1371/journal.pcbi.1005209. eCollection 2017 Mar.

7.

Sharing brain mapping statistical results with the neuroimaging data model.

Maumet C, Auer T, Bowring A, Chen G, Das S, Flandin G, Ghosh S, Glatard T, Gorgolewski KJ, Helmer KG, Jenkinson M, Keator DB, Nichols BN, Poline JB, Reynolds R, Sochat V, Turner J, Nichols TE.

Sci Data. 2016 Dec 6;3:160102. doi: 10.1038/sdata.2016.102.

8.

Physiological basis of vascular autocalibration (VasA): Comparison to hypercapnia calibration methods.

Kazan SM, Huber L, Flandin G, Ivanov D, Bandettini P, Weiskopf N.

Magn Reson Med. 2016 Nov 9. doi: 10.1002/mrm.26494. [Epub ahead of print]

9.

The brain imaging data structure, a format for organizing and describing outputs of neuroimaging experiments.

Gorgolewski KJ, Auer T, Calhoun VD, Craddock RC, Das S, Duff EP, Flandin G, Ghosh SS, Glatard T, Halchenko YO, Handwerker DA, Hanke M, Keator D, Li X, Michael Z, Maumet C, Nichols BN, Nichols TE, Pellman J, Poline JB, Rokem A, Schaefer G, Sochat V, Triplett W, Turner JA, Varoquaux G, Poldrack RA.

Sci Data. 2016 Jun 21;3:160044. doi: 10.1038/sdata.2016.44.

10.

Sensor space group analysis for fNIRS data.

Tak S, Uga M, Flandin G, Dan I, Penny WD.

J Neurosci Methods. 2016 May 1;264:103-112. doi: 10.1016/j.jneumeth.2016.03.003. Epub 2016 Mar 4.

11.

Vascular autorescaling of fMRI (VasA fMRI) improves sensitivity of population studies: A pilot study.

Kazan SM, Mohammadi S, Callaghan MF, Flandin G, Huber L, Leech R, Kennerley A, Windischberger C, Weiskopf N.

Neuroimage. 2016 Jan 1;124(Pt A):794-805. doi: 10.1016/j.neuroimage.2015.09.033. Epub 2015 Sep 28.

12.

Evaluation of 2D multiband EPI imaging for high-resolution, whole-brain, task-based fMRI studies at 3T: Sensitivity and slice leakage artifacts.

Todd N, Moeller S, Auerbach EJ, Yacoub E, Flandin G, Weiskopf N.

Neuroimage. 2016 Jan 1;124(Pt A):32-42. doi: 10.1016/j.neuroimage.2015.08.056. Epub 2015 Sep 1.

13.

Objective Bayesian fMRI analysis-a pilot study in different clinical environments.

Magerkurth J, Mancini L, Penny W, Flandin G, Ashburner J, Micallef C, De Vita E, Daga P, White MJ, Buckley C, Yamamoto AK, Ourselin S, Yousry T, Thornton JS, Weiskopf N.

Front Neurosci. 2015 May 12;9:168. doi: 10.3389/fnins.2015.00168. eCollection 2015.

14.

Resting state functional MRI in Parkinson's disease: the impact of deep brain stimulation on 'effective' connectivity.

Kahan J, Urner M, Moran R, Flandin G, Marreiros A, Mancini L, White M, Thornton J, Yousry T, Zrinzo L, Hariz M, Limousin P, Friston K, Foltynie T.

Brain. 2014 Apr;137(Pt 4):1130-44. doi: 10.1093/brain/awu027. Epub 2014 Feb 24.

15.

Set-level threshold-free tests on the intrinsic volumes of SPMs.

Barnes GR, Ridgway GR, Flandin G, Woolrich M, Friston K.

Neuroimage. 2013 Mar;68:133-40. doi: 10.1016/j.neuroimage.2012.11.046. Epub 2012 Dec 12.

16.

Convolution models for induced electromagnetic responses.

Litvak V, Jha A, Flandin G, Friston K.

Neuroimage. 2013 Jan 1;64:388-98. doi: 10.1016/j.neuroimage.2012.09.014. Epub 2012 Sep 14.

17.

Learning and generalization under ambiguity: an fMRI study.

Chumbley JR, Flandin G, Bach DR, Daunizeau J, Fehr E, Dolan RJ, Friston KJ.

PLoS Comput Biol. 2012 Jan;8(1):e1002346. doi: 10.1371/journal.pcbi.1002346. Epub 2012 Jan 19.

18.

The problem of low variance voxels in statistical parametric mapping; a new hat avoids a 'haircut'.

Ridgway GR, Litvak V, Flandin G, Friston KJ, Penny WD.

Neuroimage. 2012 Feb 1;59(3):2131-41. doi: 10.1016/j.neuroimage.2011.10.027. Epub 2011 Oct 18.

19.

EEG and MEG data analysis in SPM8.

Litvak V, Mattout J, Kiebel S, Phillips C, Henson R, Kilner J, Barnes G, Oostenveld R, Daunizeau J, Flandin G, Penny W, Friston K.

Comput Intell Neurosci. 2011;2011:852961. doi: 10.1155/2011/852961. Epub 2011 Mar 6.

20.

Probing the cortical network underlying the psychological refractory period: a combined EEG-fMRI study.

Hesselmann G, Flandin G, Dehaene S.

Neuroimage. 2011 Jun 1;56(3):1608-21. doi: 10.1016/j.neuroimage.2011.03.017. Epub 2011 Mar 21.

PMID:
21397701

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