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Items: 1 to 50 of 63

1.

Subspecialization within default mode nodes characterized in 10,000 UK Biobank participants.

Kernbach JM, Yeo BTT, Smallwood J, Margulies DS, Thiebaut de Schotten M, Walter H, Sabuncu MR, Holmes AJ, Gramfort A, Varoquaux G, Thirion B, Bzdok D.

Proc Natl Acad Sci U S A. 2018 Nov 12. pii: 201804876. doi: 10.1073/pnas.1804876115. [Epub ahead of print]

2.

Patterns of schizophrenia symptoms: hidden structure in the PANSS questionnaire.

Lefort-Besnard J, Varoquaux G, Derntl B, Gruber O, Aleman A, Jardri R, Sommer I, Thirion B, Bzdok D.

Transl Psychiatry. 2018 Oct 30;8(1):237. doi: 10.1038/s41398-018-0294-4.

3.

Shared endo-phenotypes of default mode dsfunction in attention deficit/hyperactivity disorder and autism spectrum disorder.

Kernbach JM, Satterthwaite TD, Bassett DS, Smallwood J, Margulies D, Krall S, Shaw P, Varoquaux G, Thirion B, Konrad K, Bzdok D.

Transl Psychiatry. 2018 Jul 17;8(1):133. doi: 10.1038/s41398-018-0179-6.

4.

Recursive nearest agglomeration (ReNA): fast clustering for approximation of structured signals.

Hoyos Idrobo A, Varoquaux G, Kahn J, Thirion B.

IEEE Trans Pattern Anal Mach Intell. 2018 Mar 13. doi: 10.1109/TPAMI.2018.2815524. [Epub ahead of print]

PMID:
29993861
5.

Individual Brain Charting, a high-resolution fMRI dataset for cognitive mapping.

Pinho AL, Amadon A, Ruest T, Fabre M, Dohmatob E, Denghien I, Ginisty C, Becuwe-Desmidt S, Roger S, Laurier L, Joly-Testault V, Médiouni-Cloarec G, Doublé C, Martins B, Pinel P, Eger E, Varoquaux G, Pallier C, Dehaene S, Hertz-Pannier L, Thirion B.

Sci Data. 2018 Jun 12;5:180105. doi: 10.1038/sdata.2018.105.

6.

Neuroimaging Research: From Null-Hypothesis Falsification to Out-of-Sample Generalization.

Bzdok D, Varoquaux G, Thirion B.

Educ Psychol Meas. 2017 Oct;77(5):868-880. doi: 10.1177/0013164416667982. Epub 2016 Oct 6.

7.

Hierarchical Region-Network Sparsity for High-Dimensional Inference in Brain Imaging.

Bzdok D, Eickenberg M, Varoquaux G, Thirion B.

Inf Process Med Imaging. 2017 Jun;10265:323-335. doi: 10.1007/978-3-319-59050-9_26. Epub 2017 May 23.

8.

Inter-subject Registration of Functional Images: Do We Need Anatomical Images?

Dohmatob E, Varoquaux G, Thirion B.

Front Neurosci. 2018 Feb 14;12:64. doi: 10.3389/fnins.2018.00064. eCollection 2018.

9.

Different shades of default mode disturbance in schizophrenia: Subnodal covariance estimation in structure and function.

Lefort-Besnard J, Bassett DS, Smallwood J, Margulies DS, Derntl B, Gruber O, Aleman A, Jardri R, Varoquaux G, Thirion B, Eickhoff SB, Bzdok D.

Hum Brain Mapp. 2018 Feb;39(2):644-661. doi: 10.1002/hbm.23870. Epub 2017 Nov 3.

10.

FReM - Scalable and stable decoding with fast regularized ensemble of models.

Hoyos-Idrobo A, Varoquaux G, Schwartz Y, Thirion B.

Neuroimage. 2018 Oct 15;180(Pt A):160-172. doi: 10.1016/j.neuroimage.2017.10.005. Epub 2017 Oct 10.

PMID:
29030104
11.

Distinct alterations in Parkinson's medication-state and disease-state connectivity.

Ng B, Varoquaux G, Poline JB, Thirion B, Greicius MD, Poston KL.

Neuroimage Clin. 2017 Sep 6;16:575-585. doi: 10.1016/j.nicl.2017.09.004. eCollection 2017.

12.

Decoding fMRI activity in the time domain improves classification performance.

Loula J, Varoquaux G, Thirion B.

Neuroimage. 2018 Oct 15;180(Pt A):203-210. doi: 10.1016/j.neuroimage.2017.08.018. Epub 2017 Aug 9.

PMID:
28801250
13.

Joint prediction of multiple scores captures better individual traits from brain images.

Rahim M, Thirion B, Bzdok D, Buvat I, Varoquaux G.

Neuroimage. 2017 Sep;158:145-154. doi: 10.1016/j.neuroimage.2017.06.072. Epub 2017 Jul 1.

PMID:
28676298
14.

Cross-validation failure: Small sample sizes lead to large error bars.

Varoquaux G.

Neuroimage. 2018 Oct 15;180(Pt A):68-77. doi: 10.1016/j.neuroimage.2017.06.061. Epub 2017 Jun 24.

PMID:
28655633
15.

Transmodal Learning of Functional Networks for Alzheimer's Disease Prediction.

Rahim M, Thirion B, Comtat C, Varoquaux G; Alzheimer’s Disease Neuroimaging Initiative.

IEEE J Sel Top Signal Process. 2016 Oct;10(7):120-1213. doi: 10.1109/JSTSP.2016.2600400. Epub 2016 Aug 15.

16.

Using and understanding cross-validation strategies. Perspectives on Saeb et al.

Little MA, Varoquaux G, Saeb S, Lonini L, Jayaraman A, Mohr DC, Kording KP.

Gigascience. 2017 May 1;6(5):1-6. doi: 10.1093/gigascience/gix020.

17.

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.

18.

Assessing and tuning brain decoders: Cross-validation, caveats, and guidelines.

Varoquaux G, Raamana PR, Engemann DA, Hoyos-Idrobo A, Schwartz Y, Thirion B.

Neuroimage. 2017 Jan 15;145(Pt B):166-179. doi: 10.1016/j.neuroimage.2016.10.038. Epub 2016 Oct 29. Review.

PMID:
27989847
19.

Predicting brain-age from multimodal imaging data captures cognitive impairment.

Liem F, Varoquaux G, Kynast J, Beyer F, Kharabian Masouleh S, Huntenburg JM, Lampe L, Rahim M, Abraham A, Craddock RC, Riedel-Heller S, Luck T, Loeffler M, Schroeter ML, Witte AV, Villringer A, Margulies DS.

Neuroimage. 2017 Mar 1;148:179-188. doi: 10.1016/j.neuroimage.2016.11.005. Epub 2016 Nov 23.

PMID:
27890805
20.

Deriving reproducible biomarkers from multi-site resting-state data: An Autism-based example.

Abraham A, Milham MP, Di Martino A, Craddock RC, Samaras D, Thirion B, Varoquaux G.

Neuroimage. 2017 Feb 15;147:736-745. doi: 10.1016/j.neuroimage.2016.10.045. Epub 2016 Nov 16.

PMID:
27865923
21.

Seeing it all: Convolutional network layers map the function of the human visual system.

Eickenberg M, Gramfort A, Varoquaux G, Thirion B.

Neuroimage. 2017 May 15;152:184-194. doi: 10.1016/j.neuroimage.2016.10.001. Epub 2016 Oct 21.

PMID:
27777172
22.

Exploring the anatomical encoding of voice with a mathematical model of the vocal system.

Assaneo MF, Sitt J, Varoquaux G, Sigman M, Cohen L, Trevisan MA.

Neuroimage. 2016 Nov 1;141:31-39. doi: 10.1016/j.neuroimage.2016.07.033. Epub 2016 Jul 17.

PMID:
27436593
23.

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.

24.

Formal Models of the Network Co-occurrence Underlying Mental Operations.

Bzdok D, Varoquaux G, Grisel O, Eickenberg M, Poupon C, Thirion B.

PLoS Comput Biol. 2016 Jun 16;12(6):e1004994. doi: 10.1371/journal.pcbi.1004994. eCollection 2016 Jun.

25.

Connectivity-based parcellation: Critique and implications.

Eickhoff SB, Thirion B, Varoquaux G, Bzdok D.

Hum Brain Mapp. 2015 Dec;36(12):4771-92. doi: 10.1002/hbm.22933. Epub 2015 Sep 27. Review.

PMID:
26409749
26.

Transport on Riemannian Manifold for Connectivity-Based Brain Decoding.

Ng B, Varoquaux G, Poline JB, Greicius M, Thirion B.

IEEE Trans Med Imaging. 2016 Jan;35(1):208-16. doi: 10.1109/TMI.2015.2463723. Epub 2015 Aug 3.

PMID:
26259016
27.

NeuroVault.org: a web-based repository for collecting and sharing unthresholded statistical maps of the human brain.

Gorgolewski KJ, Varoquaux G, Rivera G, Schwarz Y, Ghosh SS, Maumet C, Sochat VV, Nichols TE, Poldrack RA, Poline JB, Yarkoni T, Margulies DS.

Front Neuroinform. 2015 Apr 10;9:8. doi: 10.3389/fninf.2015.00008. eCollection 2015.

28.

NeuroVault.org: A repository for sharing unthresholded statistical maps, parcellations, and atlases of the human brain.

Gorgolewski KJ, Varoquaux G, Rivera G, Schwartz Y, Sochat VV, Ghosh SS, Maumet C, Nichols TE, Poline JB, Yarkoni T, Margulies DS, Poldrack RA.

Neuroimage. 2016 Jan 1;124(Pt B):1242-4. doi: 10.1016/j.neuroimage.2015.04.016. Epub 2015 Apr 11.

29.

Robust regression for large-scale neuroimaging studies.

Fritsch V, Da Mota B, Loth E, Varoquaux G, Banaschewski T, Barker GJ, Bokde AL, Brühl R, Butzek B, Conrod P, Flor H, Garavan H, Lemaitre H, Mann K, Nees F, Paus T, Schad DJ, Schümann G, Frouin V, Poline JB, Thirion B; IMAGEN consortium.

Neuroimage. 2015 May 1;111:431-41. doi: 10.1016/j.neuroimage.2015.02.048. Epub 2015 Feb 28.

PMID:
25731989
30.

Principal component regression predicts functional responses across individuals.

Thirion B, Varoquaux G, Grisel O, Poupon C, Pinel P.

Med Image Comput Comput Assist Interv. 2014;17(Pt 2):741-8.

PMID:
25485446
31.

Transport on Riemannian manifold for functional connectivity-based classification.

Ng B, Dressler M, Varoquaux G, Poline JB, Greicius M, Thirion B.

Med Image Comput Comput Assist Interv. 2014;17(Pt 2):405-12.

PMID:
25485405
32.

How machine learning is shaping cognitive neuroimaging.

Varoquaux G, Thirion B.

Gigascience. 2014 Nov 17;3:28. doi: 10.1186/2047-217X-3-28. eCollection 2014. Review.

33.

Identification of Mood-Relevant Brain Connections Using a Continuous, Subject-Driven Rumination Paradigm.

Milazzo AC, Ng B, Jiang H, Shirer W, Varoquaux G, Poline JB, Thirion B, Greicius MD.

Cereb Cortex. 2016 Mar;26(3):933-942. doi: 10.1093/cercor/bhu255. Epub 2014 Oct 19.

34.

Deriving a multi-subject functional-connectivity atlas to inform connectome estimation.

Phlypo R, Thirion B, Varoquaux G.

Med Image Comput Comput Assist Interv. 2014;17(Pt 3):185-92.

PMID:
25320798
35.

Group-PCA for very large fMRI datasets.

Smith SM, Hyvärinen A, Varoquaux G, Miller KL, Beckmann CF.

Neuroimage. 2014 Nov 1;101:738-49. doi: 10.1016/j.neuroimage.2014.07.051. Epub 2014 Aug 3.

36.

Which fMRI clustering gives good brain parcellations?

Thirion B, Varoquaux G, Dohmatob E, Poline JB.

Front Neurosci. 2014 Jul 1;8:167. doi: 10.3389/fnins.2014.00167. eCollection 2014.

37.

Machine learning patterns for neuroimaging-genetic studies in the cloud.

Da Mota B, Tudoran R, Costan A, Varoquaux G, Brasche G, Conrod P, Lemaitre H, Paus T, Rietschel M, Frouin V, Poline JB, Antoniu G, Thirion B; IMAGEN Consortium.

Front Neuroinform. 2014 Apr 8;8:31. doi: 10.3389/fninf.2014.00031. eCollection 2014.

38.

Machine learning for neuroimaging with scikit-learn.

Abraham A, Pedregosa F, Eickenberg M, Gervais P, Mueller A, Kossaifi J, Gramfort A, Thirion B, Varoquaux G.

Front Neuroinform. 2014 Feb 21;8:14. doi: 10.3389/fninf.2014.00014. eCollection 2014.

39.

Extracting brain regions from rest fMRI with total-variation constrained dictionary learning.

Abraham A, Dohmatob E, Thirion B, Samaras D, Varoquaux G.

Med Image Comput Comput Assist Interv. 2013;16(Pt 2):607-15.

PMID:
24579191
40.

Enhancing the reproducibility of group analysis with randomized brain parcellations.

Da Mota B, Fritsch V, Varoquaux G, Frouin V, Poline JB, Thirion B.

Med Image Comput Comput Assist Interv. 2013;16(Pt 2):591-8.

PMID:
24579189
41.

Implications of inconsistencies between fMRI and dMRI on multimodal connectivity estimation.

Ng B, Varoquaux G, Poline JB, Thirion B.

Med Image Comput Comput Assist Interv. 2013;16(Pt 3):652-9.

PMID:
24505817
42.

Randomized parcellation based inference.

Da Mota B, Fritsch V, Varoquaux G, Banaschewski T, Barker GJ, Bokde AL, Bromberg U, Conrod P, Gallinat J, Garavan H, Martinot JL, Nees F, Paus T, Pausova Z, Rietschel M, Smolka MN, Ströhle A, Frouin V, Poline JB, Thirion B; IMAGEN consortium.

Neuroimage. 2014 Apr 1;89:203-15. doi: 10.1016/j.neuroimage.2013.11.012. Epub 2013 Nov 19.

43.

A Framework for Inter-Subject Prediction of Functional Connectivity From Structural Networks.

Deligianni F, Varoquaux G, Thirion B, Sharp DJ, Ledig C, Leech R, Rueckert D.

IEEE Trans Med Imaging. 2013 Dec;32(12):2200-14. doi: 10.1109/TMI.2013.2276916. Epub 2013 Aug 6.

PMID:
23934663
44.

Spatial vs. Temporal Features in ICA of Resting-State fMRI - A Quantitative and Qualitative Investigation in the Context of Response Inhibition.

Tian L, Kong Y, Ren J, Varoquaux G, Zang Y, Smith SM.

PLoS One. 2013 Jun 18;8(6):e66572. doi: 10.1371/journal.pone.0066572. Print 2013.

45.

Learning and comparing functional connectomes across subjects.

Varoquaux G, Craddock RC.

Neuroimage. 2013 Oct 15;80:405-15. doi: 10.1016/j.neuroimage.2013.04.007. Epub 2013 Apr 11. Review.

46.

Improving accuracy and power with transfer learning using a meta-analytic database.

Schwartz Y, Varoquaux G, Pallier C, Pinel P, Poline JB, Thirion B.

Med Image Comput Comput Assist Interv. 2012;15(Pt 3):248-55.

PMID:
23286137
47.

A novel sparse graphical approach for multimodal brain connectivity inference.

Ng B, Varoquaux G, Poline JB, Thirion B.

Med Image Comput Comput Assist Interv. 2012;15(Pt 1):707-14.

PMID:
23285614
48.

Cohort-level brain mapping: learning cognitive atoms to single out specialized regions.

Varoquaux G, Schwartz Y, Pinel P, Thirion B.

Inf Process Med Imaging. 2013;23:438-49.

PMID:
24683989
49.

A novel sparse group Gaussian graphical model for functional connectivity estimation.

Ng B, Varoquaux G, Poline JB, Thirion B.

Inf Process Med Imaging. 2013;23:256-67.

PMID:
24683974
50.

Hyperfrontality and hypoconnectivity during refreshing in schizophrenia.

Grillon ML, Oppenheim C, Varoquaux G, Charbonneau F, Devauchelle AD, Krebs MO, Baylé F, Thirion B, Huron C.

Psychiatry Res. 2013 Mar 30;211(3):226-33. doi: 10.1016/j.pscychresns.2012.09.001. Epub 2012 Nov 5.

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