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Items: 18

1.

Physical Exercise and Spatial Training: A Longitudinal Study of Effects on Cognition, Growth Factors, and Hippocampal Plasticity.

Woost L, Bazin PL, Taubert M, Trampel R, Tardif CL, Garthe A, Kempermann G, Renner U, Stalla G, Ott DVM, Rjosk V, Obrig H, Villringer A, Roggenhofer E, Klein TA.

Sci Rep. 2018 Mar 9;8(1):4239. doi: 10.1038/s41598-018-19993-9.

2.

Regionally specific changes in the hippocampal circuitry accompany progression of cerebrospinal fluid biomarkers in preclinical Alzheimer's disease.

Tardif CL, Devenyi GA, Amaral RSC, Pelleieux S, Poirier J, Rosa-Neto P, Breitner J, Chakravarty MM; PREVENT-AD Research Group.

Hum Brain Mapp. 2018 Feb;39(2):971-984. doi: 10.1002/hbm.23897. Epub 2017 Nov 21.

PMID:
29164798
3.

Age-related mapping of intracortical myelin from late adolescence to middle adulthood using T1 -weighted MRI.

Rowley CD, Sehmbi M, Bazin PL, Tardif CL, Minuzzi L, Frey BN, Bock NA.

Hum Brain Mapp. 2017 Jul;38(7):3691-3703. doi: 10.1002/hbm.23624. Epub 2017 Apr 30.

PMID:
28462512
4.

B1 mapping for bias-correction in quantitative T1 imaging of the brain at 3T using standard pulse sequences.

Boudreau M, Tardif CL, Stikov N, Sled JG, Lee W, Pike GB.

J Magn Reson Imaging. 2017 Dec;46(6):1673-1682. doi: 10.1002/jmri.25692. Epub 2017 Mar 16.

PMID:
28301086
5.

A Systematic Relationship Between Functional Connectivity and Intracortical Myelin in the Human Cerebral Cortex.

Huntenburg JM, Bazin PL, Goulas A, Tardif CL, Villringer A, Margulies DS.

Cereb Cortex. 2017 Feb 1;27(2):981-997. doi: 10.1093/cercor/bhx030.

6.

Investigation of the confounding effects of vasculature and metabolism on computational anatomy studies.

Tardif CL, Steele CJ, Lampe L, Bazin PL, Ragert P, Villringer A, Gauthier CJ.

Neuroimage. 2017 Apr 1;149:233-243. doi: 10.1016/j.neuroimage.2017.01.025. Epub 2017 Feb 1.

PMID:
28159689
7.

Assessing intracortical myelin in the living human brain using myelinated cortical thickness.

Rowley CD, Bazin PL, Tardif CL, Sehmbi M, Hashim E, Zaharieva N, Minuzzi L, Frey BN, Bock NA.

Front Neurosci. 2015 Oct 23;9:396. doi: 10.3389/fnins.2015.00396. eCollection 2015.

8.

A subject-specific framework for in vivo myeloarchitectonic analysis using high resolution quantitative MRI.

Waehnert MD, Dinse J, Schäfer A, Geyer S, Bazin PL, Turner R, Tardif CL.

Neuroimage. 2016 Jan 15;125:94-107. doi: 10.1016/j.neuroimage.2015.10.001. Epub 2015 Oct 9.

PMID:
26455795
9.

Open Science CBS Neuroimaging Repository: Sharing ultra-high-field MR images of the brain.

Tardif CL, Schäfer A, Trampel R, Villringer A, Turner R, Bazin PL.

Neuroimage. 2016 Jan 1;124(Pt B):1143-1148. doi: 10.1016/j.neuroimage.2015.08.042. Epub 2015 Aug 25.

PMID:
26318051
10.

Advanced MRI techniques to improve our understanding of experience-induced neuroplasticity.

Tardif CL, Gauthier CJ, Steele CJ, Bazin PL, Schäfer A, Schaefer A, Turner R, Villringer A.

Neuroimage. 2016 May 1;131:55-72. doi: 10.1016/j.neuroimage.2015.08.047. Epub 2015 Aug 28. Review.

PMID:
26318050
11.

A cytoarchitecture-driven myelin model reveals area-specific signatures in human primary and secondary areas using ultra-high resolution in-vivo brain MRI.

Dinse J, Härtwich N, Waehnert MD, Tardif CL, Schäfer A, Geyer S, Preim B, Turner R, Bazin PL.

Neuroimage. 2015 Jul 1;114:71-87. doi: 10.1016/j.neuroimage.2015.04.023. Epub 2015 Apr 18.

12.

Multi-contrast multi-scale surface registration for improved alignment of cortical areas.

Tardif CL, Schäfer A, Waehnert M, Dinse J, Turner R, Bazin PL.

Neuroimage. 2015 May 1;111:107-22. doi: 10.1016/j.neuroimage.2015.02.005. Epub 2015 Feb 9.

13.

A histology-based model of quantitative T1 contrast for in-vivo cortical parcellation of high-resolution 7 Tesla brain MR images.

Dinse J, Waehnert M, Tardif CL, Schäfer A, Geyer S, Turner R, Bazin PL.

Med Image Comput Comput Assist Interv. 2013;16(Pt 2):51-8.

PMID:
24579123
14.

On the accuracy of T1 mapping: searching for common ground.

Stikov N, Boudreau M, Levesque IR, Tardif CL, Barral JK, Pike GB.

Magn Reson Med. 2015 Feb;73(2):514-22. doi: 10.1002/mrm.25135. Epub 2014 Feb 27.

PMID:
24578189
15.

Quantitative magnetic resonance imaging of cortical multiple sclerosis pathology.

Tardif CL, Bedell BJ, Eskildsen SF, Collins DL, Pike GB.

Mult Scler Int. 2012;2012:742018. doi: 10.1155/2012/742018. Epub 2012 Nov 18.

16.

Segmentation of cortical MS lesions on MRI using automated laminar profile shape analysis.

Tardif CL, Collins DL, Eskildsen SF, Richardson JB, Pike GB.

Med Image Comput Comput Assist Interv. 2010;13(Pt 3):181-8.

PMID:
20879398
17.

Regional impact of field strength on voxel-based morphometry results.

Tardif CL, Collins DL, Pike GB.

Hum Brain Mapp. 2010 Jul;31(7):943-57. doi: 10.1002/hbm.20908.

PMID:
19862698
18.

Sensitivity of voxel-based morphometry analysis to choice of imaging protocol at 3 T.

Tardif CL, Collins DL, Pike GB.

Neuroimage. 2009 Feb 1;44(3):827-38. doi: 10.1016/j.neuroimage.2008.09.053. Epub 2008 Oct 19.

PMID:
18996205

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