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Items: 1 to 20 of 83

1.

Seed Location Impacts Whole-Brain Structural Network Comparisons between Healthy Elderly and Individuals with Alzheimer's Disease.

Zajac L, Koo BB, Bauer CM, Killiany R, Behalf Of The Alzheimer's Disease Neuroimaging Initiative.

Brain Sci. 2017 Apr 6;7(4). pii: E37. doi: 10.3390/brainsci7040037.

2.

Towards a Holistic Cortical Thickness Descriptor: Heat Kernel-Based Grey Matter Morphology Signatures.

Wang G, Wang Y; Alzheimer's Disease Neuroimaging Initiative..

Neuroimage. 2017 Feb 15;147:360-380. doi: 10.1016/j.neuroimage.2016.12.014. Epub 2016 Dec 26.

PMID:
28033566
3.

Development, validation and application of a new fornix template for studies of aging and preclinical Alzheimer's disease.

Brown CA, Johnson NF, Anderson-Mooney AJ, Jicha GA, Shaw LM, Trojanowski JQ, Van Eldik LJ, Schmitt FA, Smith CD, Gold BT.

Neuroimage Clin. 2016 Nov 25;13:106-115. eCollection 2017.

4.

3D tract-specific local and global analysis of white matter integrity in Alzheimer's disease.

Jin Y, Huang C, Daianu M, Zhan L, Dennis EL, Reid RI, Jack CR Jr, Zhu H, Thompson PM; Alzheimer's Disease Neuroimaging Initiative..

Hum Brain Mapp. 2017 Mar;38(3):1191-1207. doi: 10.1002/hbm.23448. Epub 2016 Nov 24.

5.

Blockwise Human Brain Network Visual Comparison Using NodeTrix Representation.

Yang X, Shi L, Daianu M, Tong H, Liu Q, Thompson P.

IEEE Trans Vis Comput Graph. 2017 Jan;23(1):181-190. Epub 2016 Aug 5.

PMID:
27514058
6.

Consistent cortical reconstruction and multi-atlas brain segmentation.

Huo Y, Plassard AJ, Carass A, Resnick SM, Pham DL, Prince JL, Landman BA.

Neuroimage. 2016 Sep;138:197-210. doi: 10.1016/j.neuroimage.2016.05.030. Epub 2016 May 13.

PMID:
27184203
7.

A Multi-Atlas Labeling Approach for Identifying Subject-Specific Functional Regions of Interest.

Huang L, Zhou G, Liu Z, Dang X, Yang Z, Kong XZ, Wang X, Song Y, Zhen Z, Liu J.

PLoS One. 2016 Jan 21;11(1):e0146868. doi: 10.1371/journal.pone.0146868. eCollection 2016.

8.

Methods on Skull Stripping of MRI Head Scan Images-a Review.

Kalavathi P, Prasath VB.

J Digit Imaging. 2016 Jun;29(3):365-79. doi: 10.1007/s10278-015-9847-8. Review.

PMID:
26628083
9.

Vascular risk factors, cerebrovascular reactivity, and the default-mode brain network.

Haight TJ, Bryan RN, Erus G, Davatzikos C, Jacobs DR, D'Esposito M, Lewis CE, Launer LJ.

Neuroimage. 2015 Jul 15;115:7-16. doi: 10.1016/j.neuroimage.2015.04.039. Epub 2015 Apr 24.

10.

Age-specific MRI brain and head templates for healthy adults from 20 through 89 years of age.

Fillmore PT, Phillips-Meek MC, Richards JE.

Front Aging Neurosci. 2015 Apr 8;7:44. doi: 10.3389/fnagi.2015.00044. eCollection 2015.

11.

The future of human cerebral cartography: a novel approach.

Frackowiak R, Markram H.

Philos Trans R Soc Lond B Biol Sci. 2015 May 19;370(1668). pii: 20140171. doi: 10.1098/rstb.2014.0171. Review.

12.

The diffeomorphometry of regional shape change rates and its relevance to cognitive deterioration in mild cognitive impairment and Alzheimer's disease.

Tang X, Holland D, Dale AM, Younes L, Miller MI; Alzheimer's Disease Neuroimaging Initiative..

Hum Brain Mapp. 2015 Jun;36(6):2093-117. doi: 10.1002/hbm.22758. Epub 2015 Feb 3.

13.

Improved image registration by sparse patch-based deformation estimation.

Kim M, Wu G, Wang Q, Lee SW, Shen D.

Neuroimage. 2015 Jan 15;105:257-68. doi: 10.1016/j.neuroimage.2014.10.019. Epub 2014 Oct 16.

14.

Left ventricular shape variation in asymptomatic populations: the Multi-Ethnic Study of Atherosclerosis.

Medrano-Gracia P, Cowan BR, Ambale-Venkatesh B, Bluemke DA, Eng J, Finn JP, Fonseca CG, Lima JA, Suinesiaputra A, Young AA.

J Cardiovasc Magn Reson. 2014 Jul 30;16:56. doi: 10.1186/s12968-014-0056-2.

15.

A data-driven model of biomarker changes in sporadic Alzheimer's disease.

Young AL, Oxtoby NP, Daga P, Cash DM, Fox NC, Ourselin S, Schott JM, Alexander DC; Alzheimer’s Disease Neuroimaging Initiative..

Brain. 2014 Sep;137(Pt 9):2564-77. doi: 10.1093/brain/awu176. Epub 2014 Jul 9.

16.

Multi-atlas based representations for Alzheimer's disease diagnosis.

Min R, Wu G, Cheng J, Wang Q, Shen D; Alzheimer's Disease Neuroimaging Initiative..

Hum Brain Mapp. 2014 Oct;35(10):5052-70. doi: 10.1002/hbm.22531. Epub 2014 Apr 18.

17.

Mapping the effect of the apolipoprotein E genotype on 4-year atrophy rates in an Alzheimer disease-related brain network.

Hostage CA, Choudhury KR, Murali Doraiswamy P, Petrella JR; Alzheimer's Disease Neuroimaging Initiative..

Radiology. 2014 Apr;271(1):211-9. doi: 10.1148/radiol.13131041. Epub 2013 Dec 12.

18.

Temporal reliability and lateralization of the resting-state language network.

Zhu L, Fan Y, Zou Q, Wang J, Gao JH, Niu Z.

PLoS One. 2014 Jan 24;9(1):e85880. doi: 10.1371/journal.pone.0085880. eCollection 2014.

19.

Graphical neuroimaging informatics: application to Alzheimer's disease.

Van Horn JD, Bowman I, Joshi SH, Greer V.

Brain Imaging Behav. 2014 Jun;8(2):300-10. doi: 10.1007/s11682-013-9273-9.

20.

Effectiveness of regional DTI measures in distinguishing Alzheimer's disease, MCI, and normal aging.

Nir TM, Jahanshad N, Villalon-Reina JE, Toga AW, Jack CR, Weiner MW, Thompson PM; Alzheimer's Disease Neuroimaging Initiative (ADNI)..

Neuroimage Clin. 2013 Jul 27;3:180-95. doi: 10.1016/j.nicl.2013.07.006. eCollection 2013.

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