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Items: 1 to 50 of 143

1.

Layer-dependent activity in human prefrontal cortex during working memory.

Finn ES, Huber L, Jangraw DC, Molfese PJ, Bandettini PA.

Nat Neurosci. 2019 Oct;22(10):1687-1695. doi: 10.1038/s41593-019-0487-z. Epub 2019 Sep 23.

PMID:
31551596
2.

Imaging the spontaneous flow of thought: Distinct periods of cognition contribute to dynamic functional connectivity during rest.

Gonzalez-Castillo J, Caballero-Gaudes C, Topolski N, Handwerker DA, Pereira F, Bandettini PA.

Neuroimage. 2019 Aug 25;202:116129. doi: 10.1016/j.neuroimage.2019.116129. [Epub ahead of print]

PMID:
31461679
3.

A deconvolution algorithm for multi-echo functional MRI: Multi-echo Sparse Paradigm Free Mapping.

Caballero-Gaudes C, Moia S, Panwar P, Bandettini PA, Gonzalez-Castillo J.

Neuroimage. 2019 Aug 13;202:116081. doi: 10.1016/j.neuroimage.2019.116081. [Epub ahead of print]

PMID:
31419613
4.

Layer-specific activation of sensory input and predictive feedback in the human primary somatosensory cortex.

Yu Y, Huber L, Yang J, Jangraw DC, Handwerker DA, Molfese PJ, Chen G, Ejima Y, Wu J, Bandettini PA.

Sci Adv. 2019 May 15;5(5):eaav9053. doi: 10.1126/sciadv.aav9053. eCollection 2019 May.

5.

Visual temporal frequency preference shows a distinct cortical architecture using fMRI.

Chai Y, Handwerker DA, Marrett S, Gonzalez-Castillo J, Merriam EP, Hall A, Molfese PJ, Bandettini PA.

Neuroimage. 2019 Aug 15;197:13-23. doi: 10.1016/j.neuroimage.2019.04.048. Epub 2019 Apr 20.

PMID:
31015027
6.

Time-varying whole-brain functional network connectivity coupled to task engagement.

Xie H, Gonzalez-Castillo J, Handwerker DA, Bandettini PA, Calhoun VD, Chen G, Damaraju E, Liu X, Mitra S.

Netw Neurosci. 2018 Oct 1;3(1):49-66. doi: 10.1162/netn_a_00051. eCollection 2019.

7.

Efficacy of different dynamic functional connectivity methods to capture cognitively relevant information.

Xie H, Zheng CY, Handwerker DA, Bandettini PA, Calhoun VD, Mitra S, Gonzalez-Castillo J.

Neuroimage. 2019 Mar;188:502-514. doi: 10.1016/j.neuroimage.2018.12.037. Epub 2018 Dec 18.

PMID:
30576850
8.

Deep neural network predicts emotional responses of the human brain from functional magnetic resonance imaging.

Kim HC, Bandettini PA, Lee JH.

Neuroimage. 2019 Feb 1;186:607-627. doi: 10.1016/j.neuroimage.2018.10.054. Epub 2018 Oct 23.

PMID:
30366076
9.

Ultra-high resolution blood volume fMRI and BOLD fMRI in humans at 9.4 T: Capabilities and challenges.

Huber L, Tse DHY, Wiggins CJ, Uludağ K, Kashyap S, Jangraw DC, Bandettini PA, Poser BA, Ivanov D.

Neuroimage. 2018 Sep;178:769-779. doi: 10.1016/j.neuroimage.2018.06.025. Epub 2018 Jun 8.

10.

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.

11.

Towards a new approach to reveal dynamical organization of the brain using topological data analysis.

Saggar M, Sporns O, Gonzalez-Castillo J, Bandettini PA, Carlsson G, Glover G, Reiss AL.

Nat Commun. 2018 Apr 11;9(1):1399. doi: 10.1038/s41467-018-03664-4.

12.

Statistical power comparisons at 3T and 7T with a GO / NOGO task.

Torrisi S, Chen G, Glen D, Bandettini PA, Baker CI, Reynolds R, Yen-Ting Liu J, Leshin J, Balderston N, Grillon C, Ernst M.

Neuroimage. 2018 Jul 15;175:100-110. doi: 10.1016/j.neuroimage.2018.03.071. Epub 2018 Apr 3.

13.

The Integration of Functional Brain Activity from Adolescence to Adulthood.

Kundu P, Benson BE, Rosen D, Frangou S, Leibenluft E, Luh WM, Bandettini PA, Pine DS, Ernst M.

J Neurosci. 2018 Apr 4;38(14):3559-3570. doi: 10.1523/JNEUROSCI.1864-17.2018. Epub 2018 Feb 27.

14.

Ridding fMRI data of motion-related influences: Removal of signals with distinct spatial and physical bases in multiecho data.

Power JD, Plitt M, Gotts SJ, Kundu P, Voon V, Bandettini PA, Martin A.

Proc Natl Acad Sci U S A. 2018 Feb 27;115(9):E2105-E2114. doi: 10.1073/pnas.1720985115. Epub 2018 Feb 12.

15.

Frequency-dependent tACS modulation of BOLD signal during rhythmic visual stimulation.

Chai Y, Sheng J, Bandettini PA, Gao JH.

Hum Brain Mapp. 2018 May;39(5):2111-2120. doi: 10.1002/hbm.23990. Epub 2018 Feb 1.

16.

High-Resolution CBV-fMRI Allows Mapping of Laminar Activity and Connectivity of Cortical Input and Output in Human M1.

Huber L, Handwerker DA, Jangraw DC, Chen G, Hall A, Stüber C, Gonzalez-Castillo J, Ivanov D, Marrett S, Guidi M, Goense J, Poser BA, Bandettini PA.

Neuron. 2017 Dec 20;96(6):1253-1263.e7. doi: 10.1016/j.neuron.2017.11.005. Epub 2017 Dec 7.

17.

A functional connectivity-based neuromarker of sustained attention generalizes to predict recall in a reading task.

Jangraw DC, Gonzalez-Castillo J, Handwerker DA, Ghane M, Rosenberg MD, Panwar P, Bandettini PA.

Neuroimage. 2018 Feb 1;166:99-109. doi: 10.1016/j.neuroimage.2017.10.019. Epub 2017 Oct 12.

18.

Temporal interpolation alters motion in fMRI scans: Magnitudes and consequences for artifact detection.

Power JD, Plitt M, Kundu P, Bandettini PA, Martin A.

PLoS One. 2017 Sep 7;12(9):e0182939. doi: 10.1371/journal.pone.0182939. eCollection 2017.

19.

Task-based dynamic functional connectivity: Recent findings and open questions.

Gonzalez-Castillo J, Bandettini PA.

Neuroimage. 2018 Oct 15;180(Pt B):526-533. doi: 10.1016/j.neuroimage.2017.08.006. Epub 2017 Aug 3. Review.

20.

Whole-brain connectivity dynamics reflect both task-specific and individual-specific modulation: A multitask study.

Xie H, Calhoun VD, Gonzalez-Castillo J, Damaraju E, Miller R, Bandettini PA, Mitra S.

Neuroimage. 2018 Oct 15;180(Pt B):495-504. doi: 10.1016/j.neuroimage.2017.05.050. Epub 2017 May 23.

21.

Introducing Alternative-Based Thresholding for Defining Functional Regions of Interest in fMRI.

Degryse J, Seurinck R, Durnez J, Gonzalez-Castillo J, Bandettini PA, Moerkerke B.

Front Neurosci. 2017 Apr 21;11:222. doi: 10.3389/fnins.2017.00222. eCollection 2017.

22.

Multi-echo fMRI: A review of applications in fMRI denoising and analysis of BOLD signals.

Kundu P, Voon V, Balchandani P, Lombardo MV, Poser BA, Bandettini PA.

Neuroimage. 2017 Jul 1;154:59-80. doi: 10.1016/j.neuroimage.2017.03.033. Epub 2017 Mar 29. Review.

PMID:
28363836
23.

Techniques for blood volume fMRI with VASO: From low-resolution mapping towards sub-millimeter layer-dependent applications.

Huber L, Ivanov D, Handwerker DA, Marrett S, Guidi M, Uludağ K, Bandettini PA, Poser BA.

Neuroimage. 2018 Jan 1;164:131-143. doi: 10.1016/j.neuroimage.2016.11.039. Epub 2016 Nov 18.

24.

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.

25.

Evaluation of multi-echo ICA denoising for task based fMRI studies: Block designs, rapid event-related designs, and cardiac-gated fMRI.

Gonzalez-Castillo J, Panwar P, Buchanan LC, Caballero-Gaudes C, Handwerker DA, Jangraw DC, Zachariou V, Inati S, Roopchansingh V, Derbyshire JA, Bandettini PA.

Neuroimage. 2016 Nov 1;141:452-468. doi: 10.1016/j.neuroimage.2016.07.049. Epub 2016 Jul 27.

26.

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.

27.

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.

28.

Tracking ongoing cognition in individuals using brief, whole-brain functional connectivity patterns.

Gonzalez-Castillo J, Hoy CW, Handwerker DA, Robinson ME, Buchanan LC, Saad ZS, Bandettini PA.

Proc Natl Acad Sci U S A. 2015 Jul 14;112(28):8762-7. doi: 10.1073/pnas.1501242112. Epub 2015 Jun 29.

29.

What Cascade Spreading Models Can Teach Us about the Brain.

Gonzalez-Castillo J, Bandettini PA.

Neuron. 2015 Jun 17;86(6):1327-9. doi: 10.1016/j.neuron.2015.06.006.

30.

Enhanced identification of BOLD-like components with multi-echo simultaneous multi-slice (MESMS) fMRI and multi-echo ICA.

Olafsson V, Kundu P, Wong EC, Bandettini PA, Liu TT.

Neuroimage. 2015 May 15;112:43-51. doi: 10.1016/j.neuroimage.2015.02.052. Epub 2015 Mar 2.

31.

Effects of thoracic pressure changes on MRI signals in the brain.

Wu P, Bandettini PA, Harper RM, Handwerker DA.

J Cereb Blood Flow Metab. 2015 Jun;35(6):1024-32. doi: 10.1038/jcbfm.2015.20. Epub 2015 Feb 25.

32.

Robust resting state fMRI processing for studies on typical brain development based on multi-echo EPI acquisition.

Kundu P, Benson BE, Baldwin KL, Rosen D, Luh WM, Bandettini PA, Pine DS, Ernst M.

Brain Imaging Behav. 2015 Mar;9(1):56-73. doi: 10.1007/s11682-014-9346-4.

33.

Separating slow BOLD from non-BOLD baseline drifts using multi-echo fMRI.

Evans JW, Kundu P, Horovitz SG, Bandettini PA.

Neuroimage. 2015 Jan 15;105:189-97. doi: 10.1016/j.neuroimage.2014.10.051. Epub 2014 Oct 30.

34.

Task Dependence, Tissue Specificity, and Spatial Distribution of Widespread Activations in Large Single-Subject Functional MRI Datasets at 7T.

Gonzalez-Castillo J, Hoy CW, Handwerker DA, Roopchansingh V, Inati SJ, Saad ZS, Cox RW, Bandettini PA.

Cereb Cortex. 2015 Dec;25(12):4667-77. doi: 10.1093/cercor/bhu148. Epub 2014 Jul 1.

35.

Neuronal or hemodynamic? Grappling with the functional MRI signal.

Bandettini PA.

Brain Connect. 2014 Sep;4(7):487-98. doi: 10.1089/brain.2014.0288. Review.

36.

Differentiating BOLD and non-BOLD signals in fMRI time series from anesthetized rats using multi-echo EPI at 11.7 T.

Kundu P, Santin MD, Bandettini PA, Bullmore ET, Petiet A.

Neuroimage. 2014 Nov 15;102 Pt 2:861-74. doi: 10.1016/j.neuroimage.2014.07.025. Epub 2014 Jul 24.

PMID:
25064668
37.

The spatial structure of resting state connectivity stability on the scale of minutes.

Gonzalez-Castillo J, Handwerker DA, Robinson ME, Hoy CW, Buchanan LC, Saad ZS, Bandettini PA.

Front Neurosci. 2014 Jun 11;8:138. doi: 10.3389/fnins.2014.00138. eCollection 2014.

38.

Brain network informed subject community detection in early-onset schizophrenia.

Yang Z, Xu Y, Xu T, Hoy CW, Handwerker DA, Chen G, Northoff G, Zuo XN, Bandettini PA.

Sci Rep. 2014 Jul 3;4:5549. doi: 10.1038/srep05549.

39.

Cerebellum engages in automation of verb-generation skill.

Yang Z, Wu P, Weng X, Bandettini PA.

J Integr Neurosci. 2014 Mar;13(1):1-17. doi: 10.1142/S0219635214500010. Epub 2014 Feb 5.

PMID:
24738536
40.

Human hippocampal processing of environmental novelty during spatial navigation.

Kaplan R, Horner AJ, Bandettini PA, Doeller CF, Burgess N.

Hippocampus. 2014 Jul;24(7):740-50. doi: 10.1002/hipo.22264. Epub 2014 Mar 6.

41.

Medial prefrontal theta phase coupling during spatial memory retrieval.

Kaplan R, Bush D, Bonnefond M, Bandettini PA, Barnes GR, Doeller CF, Burgess N.

Hippocampus. 2014 Jun;24(6):656-65. doi: 10.1002/hipo.22255. Epub 2014 Feb 18.

42.

Effective Preprocessing Procedures Virtually Eliminate Distance-Dependent Motion Artifacts in Resting State FMRI.

Jo HJ, Gotts SJ, Reynolds RC, Bandettini PA, Martin A, Cox RW, Saad ZS.

J Appl Math. 2013 May 21;2013. doi: 10.1155/2013/935154.

43.

Connectivity trajectory across lifespan differentiates the precuneus from the default network.

Yang Z, Chang C, Xu T, Jiang L, Handwerker DA, Castellanos FX, Milham MP, Bandettini PA, Zuo XN.

Neuroimage. 2014 Apr 1;89:45-56. doi: 10.1016/j.neuroimage.2013.10.039. Epub 2013 Nov 25.

44.

The challenge of connecting the dots in the B.R.A.I.N.

Devor A, Bandettini PA, Boas DA, Bower JM, Buxton RB, Cohen LB, Dale AM, Einevoll GT, Fox PT, Franceschini MA, Friston KJ, Fujimoto JG, Geyer MA, Greenberg JH, Halgren E, Hämäläinen MS, Helmchen F, Hyman BT, Jasanoff A, Jernigan TL, Judd LL, Kim SG, Kleinfeld D, Kopell NJ, Kutas M, Kwong KK, Larkum ME, Lo EH, Magistretti PJ, Mandeville JB, Masliah E, Mitra PP, Mobley WC, Moskowitz MA, Nimmerjahn A, Reynolds JH, Rosen BR, Salzberg BM, Schaffer CB, Silva GA, So PT, Spitzer NC, Tootell RB, Van Essen DC, Vanduffel W, Vinogradov SA, Wald LL, Wang LV, Weber B, Yodh AG.

Neuron. 2013 Oct 16;80(2):270-4. doi: 10.1016/j.neuron.2013.09.008.

45.

Aberrant neural mediation of verbal fluency in autism spectrum disorders.

Kenworthy L, Wallace GL, Birn R, Milleville SC, Case LK, Bandettini PA, Martin A.

Brain Cogn. 2013 Nov;83(2):218-26. doi: 10.1016/j.bandc.2013.08.003. Epub 2013 Sep 18.

46.

Integrated strategy for improving functional connectivity mapping using multiecho fMRI.

Kundu P, Brenowitz ND, Voon V, Worbe Y, Vértes PE, Inati SJ, Saad ZS, Bandettini PA, Bullmore ET.

Proc Natl Acad Sci U S A. 2013 Oct 1;110(40):16187-92. doi: 10.1073/pnas.1301725110. Epub 2013 Sep 13.

47.

Dynamic functional connectivity: promise, issues, and interpretations.

Hutchison RM, Womelsdorf T, Allen EA, Bandettini PA, Calhoun VD, Corbetta M, Della Penna S, Duyn JH, Glover GH, Gonzalez-Castillo J, Handwerker DA, Keilholz S, Kiviniemi V, Leopold DA, de Pasquale F, Sporns O, Walter M, Chang C.

Neuroimage. 2013 Oct 15;80:360-78. doi: 10.1016/j.neuroimage.2013.05.079. Epub 2013 May 24. Review.

48.

Resting-state fMRI confounds and cleanup.

Murphy K, Birn RM, Bandettini PA.

Neuroimage. 2013 Oct 15;80:349-59. doi: 10.1016/j.neuroimage.2013.04.001. Epub 2013 Apr 6. Review.

49.

Human Object-Similarity Judgments Reflect and Transcend the Primate-IT Object Representation.

Mur M, Meys M, Bodurka J, Goebel R, Bandettini PA, Kriegeskorte N.

Front Psychol. 2013 Mar 22;4:128. doi: 10.3389/fpsyg.2013.00128. eCollection 2013.

50.

The effect of spatial smoothing on fMRI decoding of columnar-level organization with linear support vector machine.

Misaki M, Luh WM, Bandettini PA.

J Neurosci Methods. 2013 Jan 30;212(2):355-61. doi: 10.1016/j.jneumeth.2012.11.004. Epub 2012 Nov 19.

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