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Items: 1 to 20 of 93


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(1):105. doi: 10.1186/s12888-016-0785-x.


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 Apr 15:1-14. [Epub ahead of print]


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. Epub 2016 Feb 23.


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. eCollection 2015. No abstract available.


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. eCollection 2015. Erratum in: PLoS One. 2015;10(12):e0145594.


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. Epub 2015 Jun 2.


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. Epub 2015 Apr 30.


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. Epub 2015 Apr 17.


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. eCollection 2015.


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. eCollection 2014.


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. Epub 2014 Apr 4.


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. Epub 2014 Mar 17.


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. Epub 2013 May 31.


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. Epub 2012 Feb 27.


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. Epub 2012 Feb 14.


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. Epub 2011 Aug 16.


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. Epub 2011 Jul 11.


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. Epub 2011 Mar 31.


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. Epub 2011 Jan 11.


Functional connectivity metrics during stroke recovery.

Yourganov G, Schmah T, Small SL, Rasmussen PM, Strother SC.

Arch Ital Biol. 2010 Sep;148(3):259-70.

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