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Items: 1 to 50 of 53

1.

Assessment of the impact of shared brain imaging data on the scientific literature.

Milham MP, Craddock RC, Son JJ, Fleischmann M, Clucas J, Xu H, Koo B, Krishnakumar A, Biswal BB, Castellanos FX, Colcombe S, Di Martino A, Zuo XN, Klein A.

Nat Commun. 2018 Jul 19;9(1):2818. doi: 10.1038/s41467-018-04976-1.

2.

Delineating the Macroscale Areal Organization of the Macaque Cortex In Vivo.

Xu T, Falchier A, Sullivan EL, Linn G, Ramirez JSB, Ross D, Feczko E, Opitz A, Bagley J, Sturgeon D, Earl E, Miranda-Domínguez O, Perrone A, Craddock RC, Schroeder CE, Colcombe S, Fair DA, Milham MP.

Cell Rep. 2018 Apr 10;23(2):429-441. doi: 10.1016/j.celrep.2018.03.049.

3.

A large, open source dataset of stroke anatomical brain images and manual lesion segmentations.

Liew SL, Anglin JM, Banks NW, Sondag M, Ito KL, Kim H, Chan J, Ito J, Jung C, Khoshab N, Lefebvre S, Nakamura W, Saldana D, Schmiesing A, Tran C, Vo D, Ard T, Heydari P, Kim B, Aziz-Zadeh L, Cramer SC, Liu J, Soekadar S, Nordvik JE, Westlye LT, Wang J, Winstein C, Yu C, Ai L, Koo B, Craddock RC, Milham M, Lakich M, Pienta A, Stroud A.

Sci Data. 2018 Feb 20;5:180011. doi: 10.1038/sdata.2018.11.

4.

Quantitative assessment of structural image quality.

Rosen AFG, Roalf DR, Ruparel K, Blake J, Seelaus K, Villa LP, Ciric R, Cook PA, Davatzikos C, Elliott MA, Garcia de La Garza A, Gennatas ED, Quarmley M, Schmitt JE, Shinohara RT, Tisdall MD, Craddock RC, Gur RE, Gur RC, Satterthwaite TD.

Neuroimage. 2018 Apr 1;169:407-418. doi: 10.1016/j.neuroimage.2017.12.059. Epub 2017 Dec 24.

PMID:
29278774
5.

An open resource for transdiagnostic research in pediatric mental health and learning disorders.

Alexander LM, Escalera J, Ai L, Andreotti C, Febre K, Mangone A, Vega-Potler N, Langer N, Alexander A, Kovacs M, Litke S, O'Hagan B, Andersen J, Bronstein B, Bui A, Bushey M, Butler H, Castagna V, Camacho N, Chan E, Citera D, Clucas J, Cohen S, Dufek S, Eaves M, Fradera B, Gardner J, Grant-Villegas N, Green G, Gregory C, Hart E, Harris S, Horton M, Kahn D, Kabotyanski K, Karmel B, Kelly SP, Kleinman K, Koo B, Kramer E, Lennon E, Lord C, Mantello G, Margolis A, Merikangas KR, Milham J, Minniti G, Neuhaus R, Levine A, Osman Y, Parra LC, Pugh KR, Racanello A, Restrepo A, Saltzman T, Septimus B, Tobe R, Waltz R, Williams A, Yeo A, Castellanos FX, Klein A, Paus T, Leventhal BL, Craddock RC, Koplewicz HS, Milham MP.

Sci Data. 2017 Dec 19;4:170181. doi: 10.1038/sdata.2017.181.

6.

Neuroimage special issue on brain segmentation and parcellation - Editorial.

Craddock RC, Bellec P, Jbabdi S.

Neuroimage. 2018 Apr 15;170:1-4. doi: 10.1016/j.neuroimage.2017.11.063. Epub 2017 Dec 2. No abstract available.

PMID:
29197642
7.

Identification of autism spectrum disorder using deep learning and the ABIDE dataset.

Heinsfeld AS, Franco AR, Craddock RC, Buchweitz A, Meneguzzi F.

Neuroimage Clin. 2017 Aug 30;17:16-23. doi: 10.1016/j.nicl.2017.08.017. eCollection 2018.

8.

Detecting stable individual differences in the functional organization of the human basal ganglia.

Garcia-Garcia M, Nikolaidis A, Bellec P, Craddock RC, Cheung B, Castellanos FX, Milham MP.

Neuroimage. 2018 Apr 15;170:68-82. doi: 10.1016/j.neuroimage.2017.07.029. Epub 2017 Jul 21.

PMID:
28739120
9.

Individual differences in functional connectivity during naturalistic viewing conditions.

Vanderwal T, Eilbott J, Finn ES, Craddock RC, Turnbull A, Castellanos FX.

Neuroimage. 2017 Aug 15;157:521-530. doi: 10.1016/j.neuroimage.2017.06.027. Epub 2017 Jun 16.

PMID:
28625875
10.

Clinically useful brain imaging for neuropsychiatry: How can we get there?

Milham MP, Craddock RC, Klein A.

Depress Anxiety. 2017 Jul;34(7):578-587. doi: 10.1002/da.22627. Epub 2017 Apr 20. Review.

PMID:
28426908
11.

The Healthy Brain Network Serial Scanning Initiative: a resource for evaluating inter-individual differences and their reliabilities across scan conditions and sessions.

O'Connor D, Potler NV, Kovacs M, Xu T, Ai L, Pellman J, Vanderwal T, Parra LC, Cohen S, Ghosh S, Escalera J, Grant-Villegas N, Osman Y, Bui A, Craddock RC, Milham MP.

Gigascience. 2017 Feb 1;6(2):1-14. doi: 10.1093/gigascience/giw011.

12.

Enhancing studies of the connectome in autism using the autism brain imaging data exchange II.

Di Martino A, O'Connor D, Chen B, Alaerts K, Anderson JS, Assaf M, Balsters JH, Baxter L, Beggiato A, Bernaerts S, Blanken LM, Bookheimer SY, Braden BB, Byrge L, Castellanos FX, Dapretto M, Delorme R, Fair DA, Fishman I, Fitzgerald J, Gallagher L, Keehn RJ, Kennedy DP, Lainhart JE, Luna B, Mostofsky SH, Müller RA, Nebel MB, Nigg JT, O'Hearn K, Solomon M, Toro R, Vaidya CJ, Wenderoth N, White T, Craddock RC, Lord C, Leventhal B, Milham MP.

Sci Data. 2017 Mar 14;4:170010. doi: 10.1038/sdata.2017.10.

13.

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.

14.

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
15.

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
16.

The real-time fMRI neurofeedback based stratification of Default Network Regulation Neuroimaging data repository.

McDonald AR, Muraskin J, Dam NTV, Froehlich C, Puccio B, Pellman J, Bauer CCC, Akeyson A, Breland MM, Calhoun VD, Carter S, Chang TP, Gessner C, Gianonne A, Giavasis S, Glass J, Homann S, King M, Kramer M, Landis D, Lieval A, Lisinski J, Mackay-Brandt A, Miller B, Panek L, Reed H, Santiago C, Schoell E, Sinnig R, Sital M, Taverna E, Tobe R, Trautman K, Varghese B, Walden L, Wang R, Waters AB, Wood DC, Castellanos FX, Leventhal B, Colcombe SJ, LaConte S, Milham MP, Craddock RC.

Neuroimage. 2017 Feb 1;146:157-170. doi: 10.1016/j.neuroimage.2016.10.048. Epub 2016 Nov 9.

17.

The preprocessed connectomes project repository of manually corrected skull-stripped T1-weighted anatomical MRI data.

Puccio B, Pooley JP, Pellman JS, Taverna EC, Craddock RC.

Gigascience. 2016 Oct 25;5(1):45.

18.

Assessing Variations in Areal Organization for the Intrinsic Brain: From Fingerprints to Reliability.

Xu T, Opitz A, Craddock RC, Wright MJ, Zuo XN, Milham MP.

Cereb Cortex. 2016 Sep 6. [Epub ahead of print]

19.

The Neuro Bureau ADHD-200 Preprocessed repository.

Bellec P, Chu C, Chouinard-Decorte F, Benhajali Y, Margulies DS, Craddock RC.

Neuroimage. 2017 Jan;144(Pt B):275-286. doi: 10.1016/j.neuroimage.2016.06.034. Epub 2016 Jul 15.

PMID:
27423255
20.

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.

21.

Genetic and Environmental Contributions to Functional Connectivity Architecture of the Human Brain.

Yang Z, Zuo XN, McMahon KL, Craddock RC, Kelly C, de Zubicaray GI, Hickie I, Bandettini PA, Castellanos FX, Milham MP, Wright MJ.

Cereb Cortex. 2016 May;26(5):2341-2352. doi: 10.1093/cercor/bhw027. Epub 2016 Feb 18.

22.

An integrated framework for targeting functional networks via transcranial magnetic stimulation.

Opitz A, Fox MD, Craddock RC, Colcombe S, Milham MP.

Neuroimage. 2016 Feb 15;127:86-96. doi: 10.1016/j.neuroimage.2015.11.040. Epub 2015 Nov 19.

23.

Short-term test-retest reliability of resting state fMRI metrics in children with and without attention-deficit/hyperactivity disorder.

Somandepalli K, Kelly C, Reiss PT, Zuo XN, Craddock RC, Yan CG, Petkova E, Castellanos FX, Milham MP, Di Martino A.

Dev Cogn Neurosci. 2015 Oct;15:83-93. doi: 10.1016/j.dcn.2015.08.003. Epub 2015 Aug 11.

24.

Intrinsic brain indices of verbal working memory capacity in children and adolescents.

Yang Z, Jutagir DR, Koyama MS, Craddock RC, Yan CG, Shehzad Z, Castellanos FX, Di Martino A, Milham MP.

Dev Cogn Neurosci. 2015 Oct;15:67-82. doi: 10.1016/j.dcn.2015.07.007. Epub 2015 Aug 4.

25.

Connectome-wide network analysis of youth with Psychosis-Spectrum symptoms.

Satterthwaite TD, Vandekar SN, Wolf DH, Bassett DS, Ruparel K, Shehzad Z, Craddock RC, Shinohara RT, Moore TM, Gennatas ED, Jackson C, Roalf DR, Milham MP, Calkins ME, Hakonarson H, Gur RC, Gur RE.

Mol Psychiatry. 2015 Dec;20(12):1508-15. doi: 10.1038/mp.2015.66. Epub 2015 Jun 2.

26.

Connectomics and new approaches for analyzing human brain functional connectivity.

Craddock RC, Tungaraza RL, Milham MP.

Gigascience. 2015 Mar 25;4:13. doi: 10.1186/s13742-015-0045-x. eCollection 2015. Review.

27.

Impact of hematocrit on measurements of the intrinsic brain.

Yang Z, Craddock RC, Milham MP.

Front Neurosci. 2015 Jan 20;8:452. doi: 10.3389/fnins.2014.00452. eCollection 2014.

28.

Stereoscopic three-dimensional visualization applied to multimodal brain images: clinical applications and a functional connectivity atlas.

Rojas GM, Gálvez M, Vega Potler N, Craddock RC, Margulies DS, Castellanos FX, Milham MP.

Front Neurosci. 2014 Nov 6;8:328. doi: 10.3389/fnins.2014.00328. eCollection 2014.

29.

Unraveling the miswired connectome: a developmental perspective.

Di Martino A, Fair DA, Kelly C, Satterthwaite TD, Castellanos FX, Thomason ME, Craddock RC, Luna B, Leventhal BL, Zuo XN, Milham MP.

Neuron. 2014 Sep 17;83(6):1335-53. doi: 10.1016/j.neuron.2014.08.050. Review.

30.

Neuroimaging after mild traumatic brain injury: review and meta-analysis.

Eierud C, Craddock RC, Fletcher S, Aulakh M, King-Casas B, Kuehl D, LaConte SM.

Neuroimage Clin. 2014 Jan 4;4:283-94. doi: 10.1016/j.nicl.2013.12.009. eCollection 2014. Review.

31.

A correspondence between individual differences in the brain's intrinsic functional architecture and the content and form of self-generated thoughts.

Gorgolewski KJ, Lurie D, Urchs S, Kipping JA, Craddock RC, Milham MP, Margulies DS, Smallwood J.

PLoS One. 2014 May 13;9(5):e97176. doi: 10.1371/journal.pone.0097176. eCollection 2014.

32.

Common intrinsic connectivity states among posteromedial cortex subdivisions: Insights from analysis of temporal dynamics.

Yang Z, Craddock RC, Margulies DS, Yan CG, Milham MP.

Neuroimage. 2014 Jun;93 Pt 1:124-37. doi: 10.1016/j.neuroimage.2014.02.014. Epub 2014 Feb 20.

33.

Addressing head motion dependencies for small-world topologies in functional connectomics.

Yan CG, Craddock RC, He Y, Milham MP.

Front Hum Neurosci. 2013 Dec 26;7:910. doi: 10.3389/fnhum.2013.00910. eCollection 2013.

34.

An open science resource for establishing reliability and reproducibility in functional connectomics.

Zuo XN, Anderson JS, Bellec P, Birn RM, Biswal BB, Blautzik J, Breitner JC, Buckner RL, Calhoun VD, Castellanos FX, Chen A, Chen B, Chen J, Chen X, Colcombe SJ, Courtney W, Craddock RC, Di Martino A, Dong HM, Fu X, Gong Q, Gorgolewski KJ, Han Y, He Y, He Y, Ho E, Holmes A, Hou XH, Huckins J, Jiang T, Jiang Y, Kelley W, Kelly C, King M, LaConte SM, Lainhart JE, Lei X, Li HJ, Li K, Li K, Lin Q, Liu D, Liu J, Liu X, Liu Y, Lu G, Lu J, Luna B, Luo J, Lurie D, Mao Y, Margulies DS, Mayer AR, Meindl T, Meyerand ME, Nan W, Nielsen JA, O'Connor D, Paulsen D, Prabhakaran V, Qi Z, Qiu J, Shao C, Shehzad Z, Tang W, Villringer A, Wang H, Wang K, Wei D, Wei GX, Weng XC, Wu X, Xu T, Yang N, Yang Z, Zang YF, Zhang L, Zhang Q, Zhang Z, Zhang Z, Zhao K, Zhen Z, Zhou Y, Zhu XT, Milham MP.

Sci Data. 2014 Dec 9;1:140049. doi: 10.1038/sdata.2014.49. eCollection 2014.

35.

Affect and the brain's functional organization: a resting-state connectivity approach.

Rohr CS, Okon-Singer H, Craddock RC, Villringer A, Margulies DS.

PLoS One. 2013 Jul 23;8(7):e68015. doi: 10.1371/journal.pone.0068015. Print 2013. Erratum in: PLoS One. 2013;8(12). doi:10.1371/annotation/a4f9f707-5e23-42f8-9d02-ccdade49750a.

36.

Toward a neuroimaging treatment selection biomarker for major depressive disorder.

McGrath CL, Kelley ME, Holtzheimer PE, Dunlop BW, Craighead WE, Franco AR, Craddock RC, Mayberg HS.

JAMA Psychiatry. 2013 Aug;70(8):821-9. doi: 10.1001/jamapsychiatry.2013.143.

37.

Imaging human connectomes at the macroscale.

Craddock RC, Jbabdi S, Yan CG, Vogelstein JT, Castellanos FX, Di Martino A, Kelly C, Heberlein K, Colcombe S, Milham MP.

Nat Methods. 2013 Jun;10(6):524-39. doi: 10.1038/nmeth.2482. Review.

38.

Predicting intrinsic brain activity.

Craddock RC, Milham MP, LaConte SM.

Neuroimage. 2013 Nov 15;82:127-36. doi: 10.1016/j.neuroimage.2013.05.072. Epub 2013 May 24.

PMID:
23707580
39.

Clinical applications of the functional connectome.

Castellanos FX, Di Martino A, Craddock RC, Mehta AD, Milham MP.

Neuroimage. 2013 Oct 15;80:527-40. doi: 10.1016/j.neuroimage.2013.04.083. Epub 2013 Apr 28.

40.

Standardizing the intrinsic brain: towards robust measurement of inter-individual variation in 1000 functional connectomes.

Yan CG, Craddock RC, Zuo XN, Zang YF, Milham MP.

Neuroimage. 2013 Oct 15;80:246-62. doi: 10.1016/j.neuroimage.2013.04.081. Epub 2013 Apr 28.

41.

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.

42.

Neurophysiological investigation of spontaneous correlated and anticorrelated fluctuations of the BOLD signal.

Keller CJ, Bickel S, Honey CJ, Groppe DM, Entz L, Craddock RC, Lado FA, Kelly C, Milham M, Mehta AD.

J Neurosci. 2013 Apr 10;33(15):6333-42. doi: 10.1523/JNEUROSCI.4837-12.2013.

43.

A comprehensive assessment of regional variation in the impact of head micromovements on functional connectomics.

Yan CG, Cheung B, Kelly C, Colcombe S, Craddock RC, Di Martino A, Li Q, Zuo XN, Castellanos FX, Milham MP.

Neuroimage. 2013 Aug 1;76:183-201. doi: 10.1016/j.neuroimage.2013.03.004. Epub 2013 Mar 15.

44.

Characterizing variation in the functional connectome: promise and pitfalls.

Kelly C, Biswal BB, Craddock RC, Castellanos FX, Milham MP.

Trends Cogn Sci. 2012 Mar;16(3):181-8. doi: 10.1016/j.tics.2012.02.001. Epub 2012 Feb 15. Review.

45.

A whole brain fMRI atlas generated via spatially constrained spectral clustering.

Craddock RC, James GA, Holtzheimer PE 3rd, Hu XP, Mayberg HS.

Hum Brain Mapp. 2012 Aug;33(8):1914-28. doi: 10.1002/hbm.21333. Epub 2011 Jul 18.

46.

Simultaneous acquisition of gradient echo/spin echo BOLD and perfusion with a separate labeling coil.

Glielmi CB, Xu Q, Craddock RC, Hu X.

Magn Reson Med. 2010 Dec;64(6):1827-31. doi: 10.1002/mrm.22554.

47.

Disease state prediction from resting state functional connectivity.

Craddock RC, Holtzheimer PE 3rd, Hu XP, Mayberg HS.

Magn Reson Med. 2009 Dec;62(6):1619-28. doi: 10.1002/mrm.22159.

48.

Exploratory structural equation modeling of resting-state fMRI: applicability of group models to individual subjects.

James GA, Kelley ME, Craddock RC, Holtzheimer PE, Dunlop BW, Nemeroff CB, Mayberg HS, Hu XP.

Neuroimage. 2009 Apr 15;45(3):778-87. doi: 10.1016/j.neuroimage.2008.12.049. Epub 2009 Jan 7.

49.

Subcallosal cingulate gyrus deep brain stimulation for treatment-resistant depression.

Lozano AM, Mayberg HS, Giacobbe P, Hamani C, Craddock RC, Kennedy SH.

Biol Psychiatry. 2008 Sep 15;64(6):461-7. doi: 10.1016/j.biopsych.2008.05.034. Epub 2008 Jul 18.

PMID:
18639234
50.

Exploration of statistical dependence between illness parameters using the entropy correlation coefficient.

Craddock RC, Taylor R, Broderick G, Whistler T, Klimas N, Unger ER.

Pharmacogenomics. 2006 Apr;7(3):421-8.

PMID:
16610952

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