Format
Sort by
Items per page

Send to

Choose Destination

Search results

Items: 1 to 50 of 159

1.

MRI-based prediction of conversion from clinically isolated syndrome to clinically definite multiple sclerosis using SVM and lesion geometry.

Bendfeldt K, Taschler B, Gaetano L, Madoerin P, Kuster P, Mueller-Lenke N, Amann M, Vrenken H, Wottschel V, Barkhof F, Borgwardt S, Klöppel S, Wicklein EM, Kappos L, Edan G, Freedman MS, Montalbán X, Hartung HP, Pohl C, Sandbrink R, Sprenger T, Radue EW, Wuerfel J, Nichols TE.

Brain Imaging Behav. 2018 Aug 28. doi: 10.1007/s11682-018-9942-9. [Epub ahead of print]

PMID:
30155789
2.

The Lifespan Human Connectome Project in Development: A large-scale study of brain connectivity development in 5-21 year olds.

Somerville LH, Bookheimer SY, Buckner RL, Burgess GC, Curtiss SW, Dapretto M, Elam JS, Gaffrey MS, Harms MP, Hodge C, Kandala S, Kastman EK, Nichols TE, Schlaggar BL, Smith SM, Thomas KM, Yacoub E, Van Essen DC, Barch DM.

Neuroimage. 2018 Aug 22;183:456-468. doi: 10.1016/j.neuroimage.2018.08.050. [Epub ahead of print]

PMID:
30142446
3.

Psychological predictors of body image attitudes and concerns in young children.

Nichols TE, Damiano SR, Gregg K, Wertheim EH, Paxton SJ.

Body Image. 2018 Aug 16;27:10-20. doi: 10.1016/j.bodyim.2018.08.005. [Epub ahead of print]

PMID:
30121488
4.

Fast and powerful genome wide association of dense genetic data with high dimensional imaging phenotypes.

Ganjgahi H, Winkler AM, Glahn DC, Blangero J, Donohue B, Kochunov P, Nichols TE.

Nat Commun. 2018 Aug 14;9(1):3254. doi: 10.1038/s41467-018-05444-6.

5.

Comparison of heritability estimates on resting state fMRI connectivity phenotypes using the ENIGMA analysis pipeline.

Adhikari BM, Jahanshad N, Shukla D, Glahn DC, Blangero J, Fox PT, Reynolds RC, Cox RW, Fieremans E, Veraart J, Novikov DS, Nichols TE, Hong LE, Thompson PM, Kochunov P.

Hum Brain Mapp. 2018 Jul 27. doi: 10.1002/hbm.24331. [Epub ahead of print]

PMID:
30052318
6.

Directed functional connectivity using dynamic graphical models.

Schwab S, Harbord R, Zerbi V, Elliott L, Afyouni S, Smith JQ, Woolrich MW, Smith SM, Nichols TE.

Neuroimage. 2018 Jul 15;175:340-353. doi: 10.1016/j.neuroimage.2018.03.074. Epub 2018 Apr 3.

PMID:
29625233
7.

Statistical Challenges in "Big Data" Human Neuroimaging.

Smith SM, Nichols TE.

Neuron. 2018 Jan 17;97(2):263-268. doi: 10.1016/j.neuron.2017.12.018.

PMID:
29346749
8.

Insight and inference for DVARS.

Afyouni S, Nichols TE.

Neuroimage. 2018 May 15;172:291-312. doi: 10.1016/j.neuroimage.2017.12.098. Epub 2018 Jan 4.

9.

Generalizable representations of pain, cognitive control, and negative emotion in medial frontal cortex.

Kragel PA, Kano M, Van Oudenhove L, Ly HG, Dupont P, Rubio A, Delon-Martin C, Bonaz BL, Manuck SB, Gianaros PJ, Ceko M, Reynolds Losin EA, Woo CW, Nichols TE, Wager TD.

Nat Neurosci. 2018 Feb;21(2):283-289. doi: 10.1038/s41593-017-0051-7. Epub 2018 Jan 1.

10.

Heritability estimates on resting state fMRI data using ENIGMA analysis pipeline.

Adhikari BM, Jahanshad N, Shukla D, Glahn DC, Blangero J, Reynolds RC, Cox RW, Fieremans E, Veraart J, Novikov DS, Nichols TE, Hong LE, Thompson PM, Kochunov P.

Pac Symp Biocomput. 2018;23:307-318.

11.

Joint Analysis of Cortical Area and Thickness as a Replacement for the Analysis of the Volume of the Cerebral Cortex.

Winkler AM, Greve DN, Bjuland KJ, Nichols TE, Sabuncu MR, Håberg AK, Skranes J, Rimol LM.

Cereb Cortex. 2018 Feb 1;28(2):738-749. doi: 10.1093/cercor/bhx308.

12.

Ten simple rules for neuroimaging meta-analysis.

Müller VI, Cieslik EC, Laird AR, Fox PT, Radua J, Mataix-Cols D, Tench CR, Yarkoni T, Nichols TE, Turkeltaub PE, Wager TD, Eickhoff SB.

Neurosci Biobehav Rev. 2018 Jan;84:151-161. doi: 10.1016/j.neubiorev.2017.11.012. Epub 2017 Nov 24. Review.

13.

The heritability of multi-modal connectivity in human brain activity.

Colclough GL, Smith SM, Nichols TE, Winkler AM, Sotiropoulos SN, Glasser MF, Van Essen DC, Woolrich MW.

Elife. 2017 Jul 26;6. pii: e20178. doi: 10.7554/eLife.20178.

14.

Accelerating permutation testing in voxel-wise analysis through subspace tracking: A new plugin for SnPM.

Gutierrez-Barragan F, Ithapu VK, Hinrichs C, Maumet C, Johnson SC, Nichols TE, Singh V; Alzheimer's Disease Neuroimaging Initiative.

Neuroimage. 2017 Oct 1;159:79-98. doi: 10.1016/j.neuroimage.2017.07.025. Epub 2017 Jul 15.

PMID:
28720551
15.

Voxelwise distribution of acute ischemic stroke lesions in patients with newly diagnosed atrial fibrillation: Trigger of arrhythmia or only target of embolism?

Rizos T, Bartsch AJ, Johnson TD, Dittgen F, Nichols TE, Malzahn U, Veltkamp R.

PLoS One. 2017 May 24;12(5):e0177474. doi: 10.1371/journal.pone.0177474. eCollection 2017.

16.

Fixing the stimulus-as-fixed-effect fallacy in task fMRI.

Westfall J, Nichols TE, Yarkoni T.

Wellcome Open Res. 2016 Dec 9;1:23. doi: 10.12688/wellcomeopenres.10298.2.

17.

Spatial Bayesian latent factor regression modeling of coordinate-based meta-analysis data.

Montagna S, Wager T, Barrett LF, Johnson TD, Nichols TE.

Biometrics. 2018 Mar;74(1):342-353. doi: 10.1111/biom.12713. Epub 2017 May 12.

18.

Personalized Medication Response Prediction for Attention-Deficit Hyperactivity Disorder: Learning in the Model Space vs. Learning in the Data Space.

Wong HK, Tiffin PA, Chappell MJ, Nichols TE, Welsh PR, Doyle OM, Lopez-Kolkovska BC, Inglis SK, Coghill D, Shen Y, Tiño P.

Front Physiol. 2017 Apr 11;8:199. doi: 10.3389/fphys.2017.00199. eCollection 2017.

19.

Reply to Brown and Behrmann, Cox, et al., and Kessler et al.: Data and code sharing is the way forward for fMRI.

Eklund A, Nichols TE, Knutsson H.

Proc Natl Acad Sci U S A. 2017 Apr 25;114(17):E3374-E3375. doi: 10.1073/pnas.1620285114. Epub 2017 Apr 18. No abstract available.

20.

Improving data availability for brain image biobanking in healthy subjects: Practice-based suggestions from an international multidisciplinary working group.

BRAINS (Brain Imaging in Normal Subjects) Expert Working Group, Shenkin SD, Pernet C, Nichols TE, Poline JB, Matthews PM, van der Lugt A, Mackay C, Lanyon L, Mazoyer B, Boardman JP, Thompson PM, Fox N, Marcus DS, Sheikh A, Cox SR, Anblagan D, Job DE, Dickie DA, Rodriguez D, Wardlaw JM.

Neuroimage. 2017 Jun;153:399-409. doi: 10.1016/j.neuroimage.2017.02.030. Epub 2017 Feb 14.

21.

Best practices in data analysis and sharing in neuroimaging using MRI.

Nichols TE, Das S, Eickhoff SB, Evans AC, Glatard T, Hanke M, Kriegeskorte N, Milham MP, Poldrack RA, Poline JB, Proal E, Thirion B, Van Essen DC, White T, Yeo BT.

Nat Neurosci. 2017 Feb 23;20(3):299-303. doi: 10.1038/nn.4500. Review.

22.

A defense of using resting-state fMRI as null data for estimating false positive rates.

Nichols TE, Eklund A, Knutsson H.

Cogn Neurosci. 2017 Jul;8(3):144-149. doi: 10.1080/17588928.2017.1287069. Epub 2017 Feb 22.

PMID:
28140785
23.

Novel genetic loci associated with hippocampal volume.

Hibar DP, Adams HHH, Jahanshad N, Chauhan G, Stein JL, Hofer E, Renteria ME, Bis JC, Arias-Vasquez A, Ikram MK, Desrivières S, Vernooij MW, Abramovic L, Alhusaini S, Amin N, Andersson M, Arfanakis K, Aribisala BS, Armstrong NJ, Athanasiu L, Axelsson T, Beecham AH, Beiser A, Bernard M, Blanton SH, Bohlken MM, Boks MP, Bralten J, Brickman AM, Carmichael O, Chakravarty MM, Chen Q, Ching CRK, Chouraki V, Cuellar-Partida G, Crivello F, Den Braber A, Doan NT, Ehrlich S, Giddaluru S, Goldman AL, Gottesman RF, Grimm O, Griswold ME, Guadalupe T, Gutman BA, Hass J, Haukvik UK, Hoehn D, Holmes AJ, Hoogman M, Janowitz D, Jia T, Jørgensen KN, Karbalai N, Kasperaviciute D, Kim S, Klein M, Kraemer B, Lee PH, Liewald DCM, Lopez LM, Luciano M, Macare C, Marquand AF, Matarin M, Mather KA, Mattheisen M, McKay DR, Milaneschi Y, Muñoz Maniega S, Nho K, Nugent AC, Nyquist P, Loohuis LMO, Oosterlaan J, Papmeyer M, Pirpamer L, Pütz B, Ramasamy A, Richards JS, Risacher SL, Roiz-Santiañez R, Rommelse N, Ropele S, Rose EJ, Royle NA, Rundek T, Sämann PG, Saremi A, Satizabal CL, Schmaal L, Schork AJ, Shen L, Shin J, Shumskaya E, Smith AV, Sprooten E, Strike LT, Teumer A, Tordesillas-Gutierrez D, Toro R, Trabzuni D, Trompet S, Vaidya D, Van der Grond J, Van der Lee SJ, Van der Meer D, Van Donkelaar MMJ, Van Eijk KR, Van Erp TGM, Van Rooij D, Walton E, Westlye LT, Whelan CD, Windham BG, Winkler AM, Wittfeld K, Woldehawariat G, Wolf C, Wolfers T, Yanek LR, Yang J, Zijdenbos A, Zwiers MP, Agartz I, Almasy L, Ames D, Amouyel P, Andreassen OA, Arepalli S, Assareh AA, Barral S, Bastin ME, Becker DM, Becker JT, Bennett DA, Blangero J, van Bokhoven H, Boomsma DI, Brodaty H, Brouwer RM, Brunner HG, Buckner RL, Buitelaar JK, Bulayeva KB, Cahn W, Calhoun VD, Cannon DM, Cavalleri GL, Cheng CY, Cichon S, Cookson MR, Corvin A, Crespo-Facorro B, Curran JE, Czisch M, Dale AM, Davies GE, De Craen AJM, De Geus EJC, De Jager PL, De Zubicaray GI, Deary IJ, Debette S, DeCarli C, Delanty N, Depondt C, DeStefano A, Dillman A, Djurovic S, Donohoe G, Drevets WC, Duggirala R, Dyer TD, Enzinger C, Erk S, Espeseth T, Fedko IO, Fernández G, Ferrucci L, Fisher SE, Fleischman DA, Ford I, Fornage M, Foroud TM, Fox PT, Francks C, Fukunaga M, Gibbs JR, Glahn DC, Gollub RL, Göring HHH, Green RC, Gruber O, Gudnason V, Guelfi S, Håberg AK, Hansell NK, Hardy J, Hartman CA, Hashimoto R, Hegenscheid K, Heinz A, Le Hellard S, Hernandez DG, Heslenfeld DJ, Ho BC, Hoekstra PJ, Hoffmann W, Hofman A, Holsboer F, Homuth G, Hosten N, Hottenga JJ, Huentelman M, Hulshoff Pol HE, Ikeda M, Jack CR Jr, Jenkinson M, Johnson R, Jönsson EG, Jukema JW, Kahn RS, Kanai R, Kloszewska I, Knopman DS, Kochunov P, Kwok JB, Lawrie SM, Lemaître H, Liu X, Longo DL, Lopez OL, Lovestone S, Martinez O, Martinot JL, Mattay VS, McDonald C, McIntosh AM, McMahon FJ, McMahon KL, Mecocci P, Melle I, Meyer-Lindenberg A, Mohnke S, Montgomery GW, Morris DW, Mosley TH, Mühleisen TW, Müller-Myhsok B, Nalls MA, Nauck M, Nichols TE, Niessen WJ, Nöthen MM, Nyberg L, Ohi K, Olvera RL, Ophoff RA, Pandolfo M, Paus T, Pausova Z, Penninx BWJH, Pike GB, Potkin SG, Psaty BM, Reppermund S, Rietschel M, Roffman JL, Romanczuk-Seiferth N, Rotter JI, Ryten M, Sacco RL, Sachdev PS, Saykin AJ, Schmidt R, Schmidt H, Schofield PR, Sigursson S, Simmons A, Singleton A, Sisodiya SM, Smith C, Smoller JW, Soininen H, Steen VM, Stott DJ, Sussmann JE, Thalamuthu A, Toga AW, Traynor BJ, Troncoso J, Tsolaki M, Tzourio C, Uitterlinden AG, Hernández MCV, Van der Brug M, van der Lugt A, van der Wee NJA, Van Haren NEM, van 't Ent D, Van Tol MJ, Vardarajan BN, Vellas B, Veltman DJ, Völzke H, Walter H, Wardlaw JM, Wassink TH, Weale ME, Weinberger DR, Weiner MW, Wen W, Westman E, White T, Wong TY, Wright CB, Zielke RH, Zonderman AB, Martin NG, Van Duijn CM, Wright MJ, Longstreth WT, Schumann G, Grabe HJ, Franke B, Launer LJ, Medland SE, Seshadri S, Thompson PM, Ikram MA.

Nat Commun. 2017 Jan 18;8:13624. doi: 10.1038/ncomms13624.

24.

Scanning the horizon: towards transparent and reproducible neuroimaging research.

Poldrack RA, Baker CI, Durnez J, Gorgolewski KJ, Matthews PM, Munafò MR, Nichols TE, Poline JB, Vul E, Yarkoni T.

Nat Rev Neurosci. 2017 Feb;18(2):115-126. doi: 10.1038/nrn.2016.167. Epub 2017 Jan 5. Review.

25.

The coordinate-based meta-analysis of neuroimaging data.

Samartsidis P, Montagna S, Nichols TE, Johnson TD.

Stat Sci. 2017;32(4):580-599. doi: 10.1214/17-STS624. Epub 2017 Nov 28.

26.

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.

27.

Novel genetic loci underlying human intracranial volume identified through genome-wide association.

Adams HH, Hibar DP, Chouraki V, Stein JL, Nyquist PA, Rentería ME, Trompet S, Arias-Vasquez A, Seshadri S, Desrivières S, Beecham AH, Jahanshad N, Wittfeld K, Van der Lee SJ, Abramovic L, Alhusaini S, Amin N, Andersson M, Arfanakis K, Aribisala BS, Armstrong NJ, Athanasiu L, Axelsson T, Beiser A, Bernard M, Bis JC, Blanken LM, Blanton SH, Bohlken MM, Boks MP, Bralten J, Brickman AM, Carmichael O, Chakravarty MM, Chauhan G, Chen Q, Ching CR, Cuellar-Partida G, Braber AD, Doan NT, Ehrlich S, Filippi I, Ge T, Giddaluru S, Goldman AL, Gottesman RF, Greven CU, Grimm O, Griswold ME, Guadalupe T, Hass J, Haukvik UK, Hilal S, Hofer E, Hoehn D, Holmes AJ, Hoogman M, Janowitz D, Jia T, Kasperaviciute D, Kim S, Klein M, Kraemer B, Lee PH, Liao J, Liewald DC, Lopez LM, Luciano M, Macare C, Marquand A, Matarin M, Mather KA, Mattheisen M, Mazoyer B, McKay DR, McWhirter R, Milaneschi Y, Mirza-Schreiber N, Muetzel RL, Maniega SM, Nho K, Nugent AC, Loohuis LM, Oosterlaan J, Papmeyer M, Pappa I, Pirpamer L, Pudas S, Pütz B, Rajan KB, Ramasamy A, Richards JS, Risacher SL, Roiz-Santiañez R, Rommelse N, Rose EJ, Royle NA, Rundek T, Sämann PG, Satizabal CL, Schmaal L, Schork AJ, Shen L, Shin J, Shumskaya E, Smith AV, Sprooten E, Strike LT, Teumer A, Thomson R, Tordesillas-Gutierrez D, Toro R, Trabzuni D, Vaidya D, Van der Grond J, Van der Meer D, Van Donkelaar MM, Van Eijk KR, Van Erp TG, Van Rooij D, Walton E, Westlye LT, Whelan CD, Windham BG, Winkler AM, Woldehawariat G, Wolf C, Wolfers T, Xu B, Yanek LR, Yang J, Zijdenbos A, Zwiers MP, Agartz I, Aggarwal NT, Almasy L, Ames D, Amouyel P, Andreassen OA, Arepalli S, Assareh AA, Barral S, Bastin ME, Becker DM, Becker JT, Bennett DA, Blangero J, van Bokhoven H, Boomsma DI, Brodaty H, Brouwer RM, Brunner HG, Buckner RL, Buitelaar JK, Bulayeva KB, Cahn W, Calhoun VD, Cannon DM, Cavalleri GL, Chen C, Cheng CY, Cichon S, Cookson MR, Corvin A, Crespo-Facorro B, Curran JE, Czisch M, Dale AM, Davies GE, De Geus EJ, De Jager PL, de Zubicaray GI, Delanty N, Depondt C, DeStefano AL, Dillman A, Djurovic S, Donohoe G, Drevets WC, Duggirala R, Dyer TD, Erk S, Espeseth T, Evans DA, Fedko IO, Fernández G, Ferrucci L, Fisher SE, Fleischman DA, Ford I, Foroud TM, Fox PT, Francks C, Fukunaga M, Gibbs JR, Glahn DC, Gollub RL, Göring HH, Grabe HJ, Green RC, Gruber O, Gudnason V, Guelfi S, Hansell NK, Hardy J, Hartman CA, Hashimoto R, Hegenscheid K, Heinz A, Le Hellard S, Hernandez DG, Heslenfeld DJ, Ho BC, Hoekstra PJ, Hoffmann W, Hofman A, Holsboer F, Homuth G, Hosten N, Hottenga JJ, Hulshoff Pol HE, Ikeda M, Ikram MK, Jack CR Jr, Jenkinson M, Johnson R, Jönsson EG, Jukema JW, Kahn RS, Kanai R, Kloszewska I, Knopman DS, Kochunov P, Kwok JB, Lawrie SM, Lemaître H, Liu X, Longo DL, Longstreth WT Jr, Lopez OL, Lovestone S, Martinez O, Martinot JL, Mattay VS, McDonald C, McIntosh AM, McMahon KL, McMahon FJ, Mecocci P, Melle I, Meyer-Lindenberg A, Mohnke S, Montgomery GW, Morris DW, Mosley TH, Mühleisen TW, Müller-Myhsok B, Nalls MA, Nauck M, Nichols TE, Niessen WJ, Nöthen MM, Nyberg L, Ohi K, Olvera RL, Ophoff RA, Pandolfo M, Paus T, Pausova Z, Penninx BW, Pike GB, Potkin SG, Psaty BM, Reppermund S, Rietschel M, Roffman JL, Romanczuk-Seiferth N, Rotter JI, Ryten M, Sacco RL, Sachdev PS, Saykin AJ, Schmidt R, Schofield PR, Sigurdsson S, Simmons A, Singleton A, Sisodiya SM, Smith C, Smoller JW, Soininen H, Srikanth V, Steen VM, Stott DJ, Sussmann JE, Thalamuthu A, Tiemeier H, Toga AW, Traynor BJ, Troncoso J, Turner JA, Tzourio C, Uitterlinden AG, Hernández MC, Van der Brug M, Van der Lugt A, Van der Wee NJ, Van Duijn CM, Van Haren NE, Van T Ent D, Van Tol MJ, Vardarajan BN, Veltman DJ, Vernooij MW, Völzke H, Walter H, Wardlaw JM, Wassink TH, Weale ME, Weinberger DR, Weiner MW, Wen W, Westman E, White T, Wong TY, Wright CB, Zielke HR, Zonderman AB, Deary IJ, DeCarli C, Schmidt H, Martin NG, De Craen AJ, Wright MJ, Launer LJ, Schumann G, Fornage M, Franke B, Debette S, Medland SE, Ikram MA, Thompson PM.

Nat Neurosci. 2016 Dec;19(12):1569-1582. doi: 10.1038/nn.4398. Epub 2016 Oct 3.

28.

Comparison of a non-stationary voxelation-corrected cluster-size test with TFCE for group-Level MRI inference.

Li H, Nickerson LD, Nichols TE, Gao JH.

Hum Brain Mapp. 2017 Mar;38(3):1269-1280. doi: 10.1002/hbm.23453. Epub 2016 Oct 27.

PMID:
27785843
29.

Generalized reduced rank latent factor regression for high dimensional tensor fields, and neuroimaging-genetic applications.

Tao C, Nichols TE, Hua X, Ching CRK, Rolls ET, Thompson PM, Feng J; Alzheimer's Disease Neuroimaging Initiative.

Neuroimage. 2017 Jan 1;144(Pt A):35-57. doi: 10.1016/j.neuroimage.2016.08.027. Epub 2016 Sep 22.

30.

Variance decomposition for single-subject task-based fMRI activity estimates across many sessions.

Gonzalez-Castillo J, Chen G, Nichols TE, Bandettini PA.

Neuroimage. 2017 Jul 1;154:206-218. doi: 10.1016/j.neuroimage.2016.10.024. Epub 2016 Oct 20.

31.

Heterochronicity of white matter development and aging explains regional patient control differences in schizophrenia.

Kochunov P, Ganjgahi H, Winkler A, Kelly S, Shukla DK, Du X, Jahanshad N, Rowland L, Sampath H, Patel B, O'Donnell P, Xie Z, Paciga SA, Schubert CR, Chen J, Zhang G, Thompson PM, Nichols TE, Hong LE.

Hum Brain Mapp. 2016 Dec;37(12):4673-4688. doi: 10.1002/hbm.23336. Epub 2016 Aug 1.

32.

Exploring fMRI Results Space: 31 Variants of an fMRI Analysis in AFNI, FSL, and SPM.

Pauli R, Bowring A, Reynolds R, Chen G, Nichols TE, Maumet C.

Front Neuroinform. 2016 Jul 5;10:24. doi: 10.3389/fninf.2016.00024. eCollection 2016. No abstract available.

33.

Cluster failure: Why fMRI inferences for spatial extent have inflated false-positive rates.

Eklund A, Nichols TE, Knutsson H.

Proc Natl Acad Sci U S A. 2016 Jul 12;113(28):7900-5. doi: 10.1073/pnas.1602413113. Epub 2016 Jun 28. Erratum in: Proc Natl Acad Sci U S A. 2016 Aug 16;113(33):E4929.

34.

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.

35.

Faster permutation inference in brain imaging.

Winkler AM, Ridgway GR, Douaud G, Nichols TE, Smith SM.

Neuroimage. 2016 Nov 1;141:502-516. doi: 10.1016/j.neuroimage.2016.05.068. Epub 2016 Jun 7.

36.

Modelling the penumbra in Computed Tomography1.

Kueh A, Warnett JM, Gibbons GJ, Brettschneider J, Nichols TE, Williams MA, Kendall WS.

J Xray Sci Technol. 2016 May 21;24(4):583-97. doi: 10.3233/XST-160576.

37.

Behavior, sensitivity, and power of activation likelihood estimation characterized by massive empirical simulation.

Eickhoff SB, Nichols TE, Laird AR, Hoffstaedter F, Amunts K, Fox PT, Bzdok D, Eickhoff CR.

Neuroimage. 2016 Aug 15;137:70-85. doi: 10.1016/j.neuroimage.2016.04.072. Epub 2016 May 11.

38.

Seeking Optimal Region-Of-Interest (ROI) Single-Value Summary Measures for fMRI Studies in Imaging Genetics.

Tong Y, Chen Q, Nichols TE, Rasetti R, Callicott JH, Berman KF, Weinberger DR, Mattay VS.

PLoS One. 2016 Mar 14;11(3):e0151391. doi: 10.1371/journal.pone.0151391. eCollection 2016.

39.

Genetic influences on schizophrenia and subcortical brain volumes: large-scale proof of concept.

Franke B, Stein JL, Ripke S, Anttila V, Hibar DP, van Hulzen KJE, Arias-Vasquez A, Smoller JW, Nichols TE, Neale MC, McIntosh AM, Lee P, McMahon FJ, Meyer-Lindenberg A, Mattheisen M, Andreassen OA, Gruber O, Sachdev PS, Roiz-Santiañez R, Saykin AJ, Ehrlich S, Mather KA, Turner JA, Schwarz E, Thalamuthu A, Shugart YY, Ho YY, Martin NG, Wright MJ; Schizophrenia Working Group of the Psychiatric Genomics Consortium; ENIGMA Consortium, O'Donovan MC, Thompson PM, Neale BM, Medland SE, Sullivan PF.

Nat Neurosci. 2016 Mar;19(3):420-431. doi: 10.1038/nn.4228. Epub 2016 Feb 1.

40.

Non-parametric combination and related permutation tests for neuroimaging.

Winkler AM, Webster MA, Brooks JC, Tracey I, Smith SM, Nichols TE.

Hum Brain Mapp. 2016 Apr;37(4):1486-511. doi: 10.1002/hbm.23115. Epub 2016 Feb 5.

41.

When the Single Matters more than the Group (II): Addressing the Problem of High False Positive Rates in Single Case Voxel Based Morphometry Using Non-parametric Statistics.

Scarpazza C, Nichols TE, Seramondi D, Maumet C, Sartori G, Mechelli A.

Front Neurosci. 2016 Jan 25;10:6. doi: 10.3389/fnins.2016.00006. eCollection 2016.

42.

An Ultra-High Field Magnetic Resonance Spectroscopy Study of Post Exercise Lactate, Glutamate and Glutamine Change in the Human Brain.

Dennis A, Thomas AG, Rawlings NB, Near J, Nichols TE, Clare S, Johansen-Berg H, Stagg CJ.

Front Physiol. 2015 Dec 17;6:351. doi: 10.3389/fphys.2015.00351. eCollection 2015.

43.

ENIGMA and the individual: Predicting factors that affect the brain in 35 countries worldwide.

Thompson PM, Andreassen OA, Arias-Vasquez A, Bearden CE, Boedhoe PS, Brouwer RM, Buckner RL, Buitelaar JK, Bulayeva KB, Cannon DM, Cohen RA, Conrod PJ, Dale AM, Deary IJ, Dennis EL, de Reus MA, Desrivieres S, Dima D, Donohoe G, Fisher SE, Fouche JP, Francks C, Frangou S, Franke B, Ganjgahi H, Garavan H, Glahn DC, Grabe HJ, Guadalupe T, Gutman BA, Hashimoto R, Hibar DP, Holland D, Hoogman M, Pol HEH, Hosten N, Jahanshad N, Kelly S, Kochunov P, Kremen WS, Lee PH, Mackey S, Martin NG, Mazoyer B, McDonald C, Medland SE, Morey RA, Nichols TE, Paus T, Pausova Z, Schmaal L, Schumann G, Shen L, Sisodiya SM, Smit DJA, Smoller JW, Stein DJ, Stein JL, Toro R, Turner JA, van den Heuvel MP, van den Heuvel OL, van Erp TGM, van Rooij D, Veltman DJ, Walter H, Wang Y, Wardlaw JM, Whelan CD, Wright MJ, Ye J; ENIGMA Consortium.

Neuroimage. 2017 Jan 15;145(Pt B):389-408. doi: 10.1016/j.neuroimage.2015.11.057. Epub 2015 Dec 4. Review.

44.

Multi-modal characterization of rapid anterior hippocampal volume increase associated with aerobic exercise.

Thomas AG, Dennis A, Rawlings NB, Stagg CJ, Matthews L, Morris M, Kolind SH, Foxley S, Jenkinson M, Nichols TE, Dawes H, Bandettini PA, Johansen-Berg H.

Neuroimage. 2016 May 1;131:162-70. doi: 10.1016/j.neuroimage.2015.10.090. Epub 2015 Dec 2.

45.

Sharing the wealth: Neuroimaging data repositories.

Eickhoff S, Nichols TE, Van Horn JD, Turner JA.

Neuroimage. 2016 Jan 1;124(Pt B):1065-8. doi: 10.1016/j.neuroimage.2015.10.079. No abstract available.

46.

The common genetic influence over processing speed and white matter microstructure: Evidence from the Old Order Amish and Human Connectome Projects.

Kochunov P, Thompson PM, Winkler A, Morrissey M, Fu M, Coyle TR, Du X, Muellerklein F, Savransky A, Gaudiot C, Sampath H, Eskandar G, Jahanshad N, Patel B, Rowland L, Nichols TE, O'Connell JR, Shuldiner AR, Mitchell BD, Hong LE.

Neuroimage. 2016 Jan 15;125:189-197. doi: 10.1016/j.neuroimage.2015.10.050. Epub 2015 Oct 21.

47.

A positive-negative mode of population covariation links brain connectivity, demographics and behavior.

Smith SM, Nichols TE, Vidaurre D, Winkler AM, Behrens TE, Glasser MF, Ugurbil K, Barch DM, Van Essen DC, Miller KL.

Nat Neurosci. 2015 Nov;18(11):1565-7. doi: 10.1038/nn.4125. Epub 2015 Sep 28.

48.

Medial Demons Registration Localizes The Degree of Genetic Influence Over Subcortical Shape Variability: An N= 1480 Meta-Analysis.

Gutman BA, Jahanshad N, Ching CR, Wang Y, Kochunov PV, Nichols TE, Thompson PM.

Proc IEEE Int Symp Biomed Imaging. 2015 Apr;2015:1402-1406.

49.

Multi-level block permutation.

Winkler AM, Webster MA, Vidaurre D, Nichols TE, Smith SM.

Neuroimage. 2015 Dec;123:253-68. doi: 10.1016/j.neuroimage.2015.05.092. Epub 2015 Jun 11.

50.

A voxelation-corrected non-stationary 3D cluster-size test based on random field theory.

Li H, Nickerson LD, Zhao X, Nichols TE, Gao JH.

Neuroimage. 2015 Sep;118:676-82. doi: 10.1016/j.neuroimage.2015.05.094. Epub 2015 Jun 9.

PMID:
26067343

Supplemental Content

Loading ...
Support Center