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Items: 1 to 50 of 288

1.

Individualized functional networks reconfigure with cognitive state.

Salehi M, Karbasi A, Barron DS, Scheinost D, Constable RT.

Neuroimage. 2019 Sep 28:116233. doi: 10.1016/j.neuroimage.2019.116233. [Epub ahead of print]

PMID:
31574322
2.

Differential resting state connectivity responses to glycemic state in type 1 diabetes.

Parikh L, Seo D, Lacadie C, Belfort-DeAguiar R, Groskreutz D, Hamza M, Dai F, Scheinost D, Sinha R, Constable RT, Sherwin R, Hwang JJ.

J Clin Endocrinol Metab. 2019 Sep 12. pii: dgz004. doi: 10.1210/jcem/dgz004. [Epub ahead of print]

PMID:
31511880
3.

Differential resting state connectivity responses to glycemic state in type 1 diabetes.

Parikh L, Seo D, Lacadie C, Belfort-DeAguiar R, Groskreutz D, Hamza M, Dai F, Scheinost D, Sinha R, Constable RT, Sherwin R, Hwang JJ.

J Clin Endocrinol Metab. 2019 Sep 12. pii: dgz004. doi: 10.1210/clinem/dgz004. [Epub ahead of print]

PMID:
31511876
4.

A decade of test-retest reliability of functional connectivity: A systematic review and meta-analysis.

Noble S, Scheinost D, Constable RT.

Neuroimage. 2019 Sep 5;203:116157. doi: 10.1016/j.neuroimage.2019.116157. [Epub ahead of print]

5.

Image processing and analysis methods for the Adolescent Brain Cognitive Development Study.

Hagler DJ Jr, Hatton S, Cornejo MD, Makowski C, Fair DA, Dick AS, Sutherland MT, Casey BJ, Barch DM, Harms MP, Watts R, Bjork JM, Garavan HP, Hilmer L, Pung CJ, Sicat CS, Kuperman J, Bartsch H, Xue F, Heitzeg MM, Laird AR, Trinh TT, Gonzalez R, Tapert SF, Riedel MC, Squeglia LM, Hyde LW, Rosenberg MD, Earl EA, Howlett KD, Baker FC, Soules M, Diaz J, de Leon OR, Thompson WK, Neale MC, Herting M, Sowell ER, Alvarez RP, Hawes SW, Sanchez M, Bodurka J, Breslin FJ, Morris AS, Paulus MP, Simmons WK, Polimeni JR, van der Kouwe A, Nencka AS, Gray KM, Pierpaoli C, Matochik JA, Noronha A, Aklin WM, Conway K, Glantz M, Hoffman E, Little R, Lopez M, Pariyadath V, Weiss SR, Wolff-Hughes DL, DelCarmen-Wiggins R, Feldstein Ewing SW, Miranda-Dominguez O, Nagel BJ, Perrone AJ, Sturgeon DT, Goldstone A, Pfefferbaum A, Pohl KM, Prouty D, Uban K, Bookheimer SY, Dapretto M, Galvan A, Bagot K, Giedd J, Infante MA, Jacobus J, Patrick K, Shilling PD, Desikan R, Li Y, Sugrue L, Banich MT, Friedman N, Hewitt JK, Hopfer C, Sakai J, Tanabe J, Cottler LB, Nixon SJ, Chang L, Cloak C, Ernst T, Reeves G, Kennedy DN, Heeringa S, Peltier S, Schulenberg J, Sripada C, Zucker RA, Iacono WG, Luciana M, Calabro FJ, Clark DB, Lewis DA, Luna B, Schirda C, Brima T, Foxe JJ, Freedman EG, Mruzek DW, Mason MJ, Huber R, McGlade E, Prescot A, Renshaw PF, Yurgelun-Todd DA, Allgaier NA, Dumas JA, Ivanova M, Potter A, Florsheim P, Larson C, Lisdahl K, Charness ME, Fuemmeler B, Hettema JM, Maes HH, Steinberg J, Anokhin AP, Glaser P, Heath AC, Madden PA, Baskin-Sommers A, Constable RT, Grant SJ, Dowling GJ, Brown SA, Jernigan TL, Dale AM.

Neuroimage. 2019 Aug 12;202:116091. doi: 10.1016/j.neuroimage.2019.116091. [Epub ahead of print]

PMID:
31415884
6.

Combining multiple connectomes improves predictive modeling of phenotypic measures.

Gao S, Greene AS, Constable RT, Scheinost D.

Neuroimage. 2019 Nov 1;201:116038. doi: 10.1016/j.neuroimage.2019.116038. Epub 2019 Jul 20.

7.

Regions and Connections: Complementary Approaches to Characterize Brain Organization and Function.

Horien C, Greene AS, Constable RT, Scheinost D.

Neuroscientist. 2019 Jul 14:1073858419860115. doi: 10.1177/1073858419860115. [Epub ahead of print]

PMID:
31304866
8.

An information network flow approach for measuring functional connectivity and predicting behavior.

Kumar S, Yoo K, Rosenberg MD, Scheinost D, Constable RT, Zhang S, Li CR, Chun MM.

Brain Behav. 2019 Aug;9(8):e01346. doi: 10.1002/brb3.1346. Epub 2019 Jul 9.

9.

Multivariate approaches improve the reliability and validity of functional connectivity and prediction of individual behaviors.

Yoo K, Rosenberg MD, Noble S, Scheinost D, Constable RT, Chun MM.

Neuroimage. 2019 Aug 15;197:212-223. doi: 10.1016/j.neuroimage.2019.04.060. Epub 2019 Apr 27.

PMID:
31039408
10.

Dynamic-flip-angle ECG-gating with nuisance signal regression improves resting-state BOLD functional connectivity mapping by reducing cardiogenic noise.

Hu C, Tokoglu F, Scheinost D, Qiu M, Shen X, Peters DC, Galiana G, Constable RT.

Magn Reson Med. 2019 Sep;82(3):911-923. doi: 10.1002/mrm.27775. Epub 2019 Apr 24.

PMID:
31016782
11.

The Functional Brain Organization of an Individual Allows Prediction of Measures of Social Abilities Transdiagnostically in Autism and Attention-Deficit/Hyperactivity Disorder.

Lake EMR, Finn ES, Noble SM, Vanderwal T, Shen X, Rosenberg MD, Spann MN, Chun MM, Scheinost D, Constable RT.

Biol Psychiatry. 2019 Aug 15;86(4):315-326. doi: 10.1016/j.biopsych.2019.02.019. Epub 2019 Mar 7.

12.

Ten simple rules for predictive modeling of individual differences in neuroimaging.

Scheinost D, Noble S, Horien C, Greene AS, Lake EM, Salehi M, Gao S, Shen X, O'Connor D, Barron DS, Yip SW, Rosenberg MD, Constable RT.

Neuroimage. 2019 Jun;193:35-45. doi: 10.1016/j.neuroimage.2019.02.057. Epub 2019 Mar 1. Review.

13.

Clinical Potential of a New Approach to MRI Acceleration.

Dispenza NL, Littin S, Zaitsev M, Constable RT, Galiana G.

Sci Rep. 2019 Feb 13;9(1):1912. doi: 10.1038/s41598-018-36802-5.

14.

The individual functional connectome is unique and stable over months to years.

Horien C, Shen X, Scheinost D, Constable RT.

Neuroimage. 2019 Apr 1;189:676-687. doi: 10.1016/j.neuroimage.2019.02.002. Epub 2019 Feb 2.

15.

Insula as the Interface Between Body Awareness and Movement: A Neurofeedback-Guided Kinesthetic Motor Imagery Study in Parkinson's Disease.

Tinaz S, Para K, Vives-Rodriguez A, Martinez-Kaigi V, Nalamada K, Sezgin M, Scheinost D, Hampson M, Louis ED, Constable RT.

Front Hum Neurosci. 2018 Dec 7;12:496. doi: 10.3389/fnhum.2018.00496. eCollection 2018.

16.

Dynamic functional connectivity during task performance and rest predicts individual differences in attention across studies.

Fong AHC, Yoo K, Rosenberg MD, Zhang S, Li CR, Scheinost D, Constable RT, Chun MM.

Neuroimage. 2019 Mar;188:14-25. doi: 10.1016/j.neuroimage.2018.11.057. Epub 2018 Dec 3.

17.

Exploring the prediction of emotional valence and pharmacologic effect across fMRI studies of antidepressants.

Barron DS, Salehi M, Browning M, Harmer CJ, Constable RT, Duff E.

Neuroimage Clin. 2018 Aug 11;20:407-414. doi: 10.1016/j.nicl.2018.08.016. eCollection 2018.

18.

Task-induced brain state manipulation improves prediction of individual traits.

Greene AS, Gao S, Scheinost D, Constable RT.

Nat Commun. 2018 Jul 18;9(1):2807. doi: 10.1038/s41467-018-04920-3.

19.

Trait paranoia shapes inter-subject synchrony in brain activity during an ambiguous social narrative.

Finn ES, Corlett PR, Chen G, Bandettini PA, Constable RT.

Nat Commun. 2018 May 23;9(1):2043. doi: 10.1038/s41467-018-04387-2.

20.

Data-Driven Analysis of Functional Connectivity Reveals a Potential Auditory Verbal Hallucination Network.

Scheinost D, Tokoglu F, Hampson M, Hoffman R, Constable RT.

Schizophr Bull. 2019 Mar 7;45(2):415-424. doi: 10.1093/schbul/sby039.

21.

Presurgical language fMRI: Clinical practices and patient outcomes in epilepsy surgical planning.

Benjamin CFA, Li AX, Blumenfeld H, Constable RT, Alkawadri R, Bickel S, Helmstaedter C, Meletti S, Bronen R, Warfield SK, Peters JM, Reutens D, Połczyńska M, Spencer DD, Hirsch LJ.

Hum Brain Mapp. 2018 Jul;39(7):2777-2785. doi: 10.1002/hbm.24039. Epub 2018 Mar 12.

22.

Hypoglycemia unawareness in type 1 diabetes suppresses brain responses to hypoglycemia.

Hwang JJ, Parikh L, Lacadie C, Seo D, Lam W, Hamza M, Schmidt C, Dai F, Sejling AS, Belfort-DeAguiar R, Constable RT, Sinha R, Sherwin R.

J Clin Invest. 2018 Apr 2;128(4):1485-1495. doi: 10.1172/JCI97696. Epub 2018 Mar 5.

23.

Resting-state functional connectivity predicts neuroticism and extraversion in novel individuals.

Hsu WT, Rosenberg MD, Scheinost D, Constable RT, Chun MM.

Soc Cogn Affect Neurosci. 2018 Feb 1;13(2):224-232. doi: 10.1093/scan/nsy002.

24.

Considering factors affecting the connectome-based identification process: Comment on Waller et al.

Horien C, Noble S, Finn ES, Shen X, Scheinost D, Constable RT.

Neuroimage. 2018 Apr 1;169:172-175. doi: 10.1016/j.neuroimage.2017.12.045. Epub 2017 Dec 15.

25.

Connectome-based predictive modeling of attention: Comparing different functional connectivity features and prediction methods across datasets.

Yoo K, Rosenberg MD, Hsu WT, Zhang S, Li CR, Scheinost D, Constable RT, Chun MM.

Neuroimage. 2018 Feb 15;167:11-22. doi: 10.1016/j.neuroimage.2017.11.010. Epub 2017 Nov 6.

26.

The NAIMS cooperative pilot project: Design, implementation and future directions.

Oh J, Bakshi R, Calabresi PA, Crainiceanu C, Henry RG, Nair G, Papinutto N, Constable RT, Reich DS, Pelletier D, Rooney W, Schwartz D, Tagge I, Shinohara RT, Simon JH, Sicotte NL; NAIMS Cooperative Steering Committee.

Mult Scler. 2018 Nov;24(13):1770-1772. doi: 10.1177/1352458517739990. Epub 2017 Nov 6.

PMID:
29106329
27.

Influences on the Test-Retest Reliability of Functional Connectivity MRI and its Relationship with Behavioral Utility.

Noble S, Spann MN, Tokoglu F, Shen X, Constable RT, Scheinost D.

Cereb Cortex. 2017 Nov 1;27(11):5415-5429. doi: 10.1093/cercor/bhx230.

28.

Altered functional connectivity to stressful stimuli in prenatally cocaine-exposed adolescents.

Zakiniaeiz Y, Yip SW, Balodis IM, Lacadie CM, Scheinost D, Constable RT, Mayes LC, Sinha R, Potenza MN.

Drug Alcohol Depend. 2017 Nov 1;180:129-136. doi: 10.1016/j.drugalcdep.2017.07.030. Epub 2017 Aug 19.

29.

An exemplar-based approach to individualized parcellation reveals the need for sex specific functional networks.

Salehi M, Karbasi A, Shen X, Scheinost D, Constable RT.

Neuroimage. 2018 Apr 15;170:54-67. doi: 10.1016/j.neuroimage.2017.08.068. Epub 2017 Sep 5. Review.

30.

Gradient nonlinearity effects on upper cervical spinal cord area measurement from 3D T1 -weighted brain MRI acquisitions.

Papinutto N, Bakshi R, Bischof A, Calabresi PA, Caverzasi E, Constable RT, Datta E, Kirkish G, Nair G, Oh J, Pelletier D, Pham DL, Reich DS, Rooney W, Roy S, Schwartz D, Shinohara RT, Sicotte NL, Stern WA, Tagge I, Tauhid S, Tummala S, Henry RG; North American Imaging in Multiple Sclerosis Cooperative(NAIMS).

Magn Reson Med. 2018 Mar;79(3):1595-1601. doi: 10.1002/mrm.26776. Epub 2017 Jun 15.

31.

Presurgical language fMRI: Mapping of six critical regions.

Benjamin CF, Walshaw PD, Hale K, Gaillard WD, Baxter LC, Berl MM, Polczynska M, Noble S, Alkawadri R, Hirsch LJ, Constable RT, Bookheimer SY.

Hum Brain Mapp. 2017 Aug;38(8):4239-4255. doi: 10.1002/hbm.23661. Epub 2017 May 23.

32.

Can brain state be manipulated to emphasize individual differences in functional connectivity?

Finn ES, Scheinost D, Finn DM, Shen X, Papademetris X, Constable RT.

Neuroimage. 2017 Oct 15;160:140-151. doi: 10.1016/j.neuroimage.2017.03.064. Epub 2017 Mar 31. Review.

33.

Shared microstructural features of behavioral and substance addictions revealed in areas of crossing fibers.

Yip SW, Morie KP, Xu J, Constable RT, Malison RT, Carroll KM, Potenza MN.

Biol Psychiatry Cogn Neurosci Neuroimaging. 2017 Mar;2(2):188-195. doi: 10.1016/j.bpsc.2016.03.001.

34.

Characterizing Attention with Predictive Network Models.

Rosenberg MD, Finn ES, Scheinost D, Constable RT, Chun MM.

Trends Cogn Sci. 2017 Apr;21(4):290-302. doi: 10.1016/j.tics.2017.01.011. Epub 2017 Feb 23. Review.

35.

Topographic organization of the cerebral cortex and brain cartography.

Eickhoff SB, Constable RT, Yeo BTT.

Neuroimage. 2018 Apr 15;170:332-347. doi: 10.1016/j.neuroimage.2017.02.018. Epub 2017 Feb 20. Review.

36.

Using connectome-based predictive modeling to predict individual behavior from brain connectivity.

Shen X, Finn ES, Scheinost D, Rosenberg MD, Chun MM, Papademetris X, Constable RT.

Nat Protoc. 2017 Mar;12(3):506-518. doi: 10.1038/nprot.2016.178. Epub 2017 Feb 9.

37.

Gray-matter relationships to diagnostic and transdiagnostic features of drug and behavioral addictions.

Yip SW, Worhunsky PD, Xu J, Morie KP, Constable RT, Malison RT, Carroll KM, Potenza MN.

Addict Biol. 2018 Jan;23(1):394-402. doi: 10.1111/adb.12492. Epub 2017 Feb 1.

38.

Multi-modal analysis of functional connectivity and cerebral blood flow reveals shared and unique effects of propofol in large-scale brain networks.

Qiu M, Scheinost D, Ramani R, Constable RT.

Neuroimage. 2017 Mar 1;148:130-140. doi: 10.1016/j.neuroimage.2016.12.080. Epub 2017 Jan 6.

39.

Weak functional connectivity in the human fetal brain prior to preterm birth.

Thomason ME, Scheinost D, Manning JH, Grove LE, Hect J, Marshall N, Hernandez-Andrade E, Berman S, Pappas A, Yeo L, Hassan SS, Constable RT, Ment LR, Romero R.

Sci Rep. 2017 Jan 9;7:39286. doi: 10.1038/srep39286.

40.

Cingulate cortex functional connectivity predicts future relapse in alcohol dependent individuals.

Zakiniaeiz Y, Scheinost D, Seo D, Sinha R, Constable RT.

Neuroimage Clin. 2016 Nov 1;13:181-187. eCollection 2017.

41.

O-space with high resolution readouts outperforms radial imaging.

Wang H, Tam L, Kopanoglu E, Peters DC, Constable RT, Galiana G.

Magn Reson Imaging. 2017 Apr;37:107-115. doi: 10.1016/j.mri.2016.11.012. Epub 2016 Nov 20.

42.

Impaired consciousness in patients with absence seizures investigated by functional MRI, EEG, and behavioural measures: a cross-sectional study.

Guo JN, Kim R, Chen Y, Negishi M, Jhun S, Weiss S, Ryu JH, Bai X, Xiao W, Feeney E, Rodriguez-Fernandez J, Mistry H, Crunelli V, Crowley MJ, Mayes LC, Constable RT, Blumenfeld H.

Lancet Neurol. 2016 Dec;15(13):1336-1345. doi: 10.1016/S1474-4422(16)30295-2.

43.

The central vein sign and its clinical evaluation for the diagnosis of multiple sclerosis: a consensus statement from the North American Imaging in Multiple Sclerosis Cooperative.

Sati P, Oh J, Constable RT, Evangelou N, Guttmann CR, Henry RG, Klawiter EC, Mainero C, Massacesi L, McFarland H, Nelson F, Ontaneda D, Rauscher A, Rooney WD, Samaraweera AP, Shinohara RT, Sobel RA, Solomon AJ, Treaba CA, Wuerfel J, Zivadinov R, Sicotte NL, Pelletier D, Reich DS; NAIMS Cooperative.

Nat Rev Neurol. 2016 Dec;12(12):714-722. doi: 10.1038/nrneurol.2016.166. Epub 2016 Nov 11. Review.

PMID:
27834394
44.

Multisite reliability of MR-based functional connectivity.

Noble S, Scheinost D, Finn ES, Shen X, Papademetris X, McEwen SC, Bearden CE, Addington J, Goodyear B, Cadenhead KS, Mirzakhanian H, Cornblatt BA, Olvet DM, Mathalon DH, McGlashan TH, Perkins DO, Belger A, Seidman LJ, Thermenos H, Tsuang MT, van Erp TGM, Walker EF, Hamann S, Woods SW, Cannon TD, Constable RT.

Neuroimage. 2017 Feb 1;146:959-970. doi: 10.1016/j.neuroimage.2016.10.020. Epub 2016 Oct 13.

45.

Does prenatal stress alter the developing connectome?

Scheinost D, Sinha R, Cross SN, Kwon SH, Sze G, Constable RT, Ment LR.

Pediatr Res. 2017 Jan;81(1-2):214-226. doi: 10.1038/pr.2016.197. Epub 2016 Sep 27. Review.

46.

The Localization of Long-Distance Dependency Components: Integrating the Focal-lesion and Neuroimaging Record.

Piñango MM, Finn E, Lacadie C, Constable RT.

Front Psychol. 2016 Sep 30;7:1434. eCollection 2016.

47.

Methylphenidate Modulates Functional Network Connectivity to Enhance Attention.

Rosenberg MD, Zhang S, Hsu WT, Scheinost D, Finn ES, Shen X, Constable RT, Li CS, Chun MM.

J Neurosci. 2016 Sep 14;36(37):9547-57. doi: 10.1523/JNEUROSCI.1746-16.2016.

48.

Prenatal stress alters amygdala functional connectivity in preterm neonates.

Scheinost D, Kwon SH, Lacadie C, Sze G, Sinha R, Constable RT, Ment LR.

Neuroimage Clin. 2016 Aug 10;12:381-8. doi: 10.1016/j.nicl.2016.08.010. eCollection 2016.

49.

Food image-induced brain activation is not diminished by insulin infusion.

Belfort-DeAguiar R, Seo D, Naik S, Hwang J, Lacadie C, Schmidt C, Constable RT, Sinha R, Sherwin R.

Int J Obes (Lond). 2016 Nov;40(11):1679-1686. doi: 10.1038/ijo.2016.152. Epub 2016 Aug 29.

50.

Fluctuations in Global Brain Activity Are Associated With Changes in Whole-Brain Connectivity of Functional Networks.

Scheinost D, Tokoglu F, Shen X, Finn ES, Noble S, Papademetris X, Constable RT.

IEEE Trans Biomed Eng. 2016 Dec;63(12):2540-2549. Epub 2016 Aug 16.

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