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Items: 1 to 20 of 94

1.

The suppression of scale-free fMRI brain dynamics across three different sources of effort: aging, task novelty and task difficulty.

Churchill NW, Spring R, Grady C, Cimprich B, Askren MK, Reuter-Lorenz PA, Jung MS, Peltier S, Strother SC, Berman MG.

Sci Rep. 2016 Aug 8;6:30895. doi: 10.1038/srep30895.

2.

Discovering biomarkers for antidepressant response: protocol from the Canadian biomarker integration network in depression (CAN-BIND) and clinical characteristics of the first patient cohort.

Lam RW, Milev R, Rotzinger S, Andreazza AC, Blier P, Brenner C, Daskalakis ZJ, Dharsee M, Downar J, Evans KR, Farzan F, Foster JA, Frey BN, Geraci J, Giacobbe P, Feilotter HE, Hall GB, Harkness KL, Hassel S, Ismail Z, Leri F, Liotti M, MacQueen GM, McAndrews MP, Minuzzi L, Müller DJ, Parikh SV, Placenza FM, Quilty LC, Ravindran AV, Salomons TV, Soares CN, Strother SC, Turecki G, Vaccarino AL, Vila-Rodriguez F, Kennedy SH; CAN-BIND Investigator Team..

BMC Psychiatry. 2016 Apr 16;16:105. doi: 10.1186/s12888-016-0785-x.

3.

The Associative Memory Deficit in Aging Is Related to Reduced Selectivity of Brain Activity during Encoding.

Saverino C, Fatima Z, Sarraf S, Oder A, Strother SC, Grady CL.

J Cogn Neurosci. 2016 Sep;28(9):1331-44. doi: 10.1162/jocn_a_00970.

PMID:
27082043
4.

The association between cerebrovascular reactivity and resting-state fMRI functional connectivity in healthy adults: The influence of basal carbon dioxide.

Golestani AM, Kwinta JB, Strother SC, Khatamian YB, Chen JJ.

Neuroimage. 2016 May 15;132:301-13. doi: 10.1016/j.neuroimage.2016.02.051.

PMID:
26908321
5.

Correction: An Automated, Adaptive Framework for Optimizing Preprocessing Pipelines in Task-Based Functional MRI.

Churchill NW, Spring R, Afshin-Pour B, Dong F, Strother SC.

PLoS One. 2015 Dec 17;10(12):e0145594. doi: 10.1371/journal.pone.0145594. No abstract available.

6.

An Automated, Adaptive Framework for Optimizing Preprocessing Pipelines in Task-Based Functional MRI.

Churchill NW, Spring R, Afshin-Pour B, Dong F, Strother SC.

PLoS One. 2015 Jul 10;10(7):e0131520. doi: 10.1371/journal.pone.0131520. Erratum in: PLoS One. 2015;10(12):e0145594.

7.

Automated iterative reclustering framework for determining hierarchical functional networks in resting state fMRI.

Shams SM, Afshin-Pour B, Soltanian-Zadeh H, Hossein-Zadeh GA, Strother SC.

Hum Brain Mapp. 2015 Sep;36(9):3303-22. doi: 10.1002/hbm.22839.

PMID:
26032457
8.

5-HTTLPR differentially predicts brain network responses to emotional faces.

Fisher PM, Grady CL, Madsen MK, Strother SC, Knudsen GM.

Hum Brain Mapp. 2015 Jul;36(7):2842-51. doi: 10.1002/hbm.22811.

PMID:
25929825
9.

The Center for Integrated Molecular Brain Imaging (Cimbi) database.

Knudsen GM, Jensen PS, Erritzoe D, Baaré WF, Ettrup A, Fisher PM, Gillings N, Hansen HD, Hansen LK, Hasselbalch SG, Henningsson S, Herth MM, Holst KK, Iversen P, Kessing LV, Macoveanu J, Madsen KS, Mortensen EL, Nielsen FÅ, Paulson OB, Siebner HR, Stenbæk DS, Svarer C, Jernigan TL, Strother SC, Frokjaer VG.

Neuroimage. 2016 Jan 1;124(Pt B):1213-9. doi: 10.1016/j.neuroimage.2015.04.025.

10.

A computerized tablet with visual feedback of hand position for functional magnetic resonance imaging.

Karimpoor M, Tam F, Strother SC, Fischer CE, Schweizer TA, Graham SJ.

Front Hum Neurosci. 2015 Mar 25;9:150. doi: 10.3389/fnhum.2015.00150.

11.

The functional connectivity landscape of the human brain.

Mišić B, Fatima Z, Askren MK, Buschkuehl M, Churchill N, Cimprich B, Deldin PJ, Jaeggi S, Jung M, Korostil M, Kross E, Krpan KM, Peltier S, Reuter-Lorenz PA, Strother SC, Jonides J, McIntosh AR, Berman MG.

PLoS One. 2014 Oct 28;9(10):e111007. doi: 10.1371/journal.pone.0111007.

12.

Pattern classification of fMRI data: applications for analysis of spatially distributed cortical networks.

Yourganov G, Schmah T, Churchill NW, Berman MG, Grady CL, Strother SC.

Neuroimage. 2014 Aug 1;96:117-32. doi: 10.1016/j.neuroimage.2014.03.074.

PMID:
24705202
13.

Comparing within-subject classification and regularization methods in fMRI for large and small sample sizes.

Churchill NW, Yourganov G, Strother SC.

Hum Brain Mapp. 2014 Sep;35(9):4499-517. doi: 10.1002/hbm.22490.

PMID:
24639383
14.

PHYCAA+: an optimized, adaptive procedure for measuring and controlling physiological noise in BOLD fMRI.

Churchill NW, Strother SC.

Neuroimage. 2013 Nov 15;82:306-25. doi: 10.1016/j.neuroimage.2013.05.102.

PMID:
23727534
15.

Optimizing preprocessing and analysis pipelines for single-subject fMRI: 2. Interactions with ICA, PCA, task contrast and inter-subject heterogeneity.

Churchill NW, Yourganov G, Oder A, Tam F, Graham SJ, Strother SC.

PLoS One. 2012;7(2):e31147. doi: 10.1371/journal.pone.0031147.

16.

Enhancing reproducibility of fMRI statistical maps using generalized canonical correlation analysis in NPAIRS framework.

Afshin-Pour B, Hossein-Zadeh GA, Strother SC, Soltanian-Zadeh H.

Neuroimage. 2012 May 1;60(4):1970-81. doi: 10.1016/j.neuroimage.2012.01.137.

PMID:
22366080
17.

PHYCAA: data-driven measurement and removal of physiological noise in BOLD fMRI.

Churchill NW, Yourganov G, Spring R, Rasmussen PM, Lee W, Ween JE, Strother SC.

Neuroimage. 2012 Jan 16;59(2):1299-314. doi: 10.1016/j.neuroimage.2011.08.021.

PMID:
21871573
18.

Complex and magnitude-only preprocessing of 2D and 3D BOLD fMRI data at 7 T.

Barry RL, Strother SC, Gore JC.

Magn Reson Med. 2012 Mar;67(3):867-71. doi: 10.1002/mrm.23072.

19.

Optimizing preprocessing and analysis pipelines for single-subject fMRI. I. Standard temporal motion and physiological noise correction methods.

Churchill NW, Oder A, Abdi H, Tam F, Lee W, Thomas C, Ween JE, Graham SJ, Strother SC.

Hum Brain Mapp. 2012 Mar;33(3):609-27. doi: 10.1002/hbm.21238.

20.

Data-driven optimization and evaluation of 2D EPI and 3D PRESTO for BOLD fMRI at 7 Tesla: I. Focal coverage.

Barry RL, Strother SC, Gatenby JC, Gore JC.

Neuroimage. 2011 Apr 1;55(3):1034-43. doi: 10.1016/j.neuroimage.2010.12.086.

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