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Items: 1 to 20 of 33

1.

NPTX2 and cognitive dysfunction in Alzheimer's Disease.

Xiao MF, Xu D, Craig MT, Pelkey KA, Chien CC, Shi Y, Zhang J, Resnick S, Pletnikova O, Salmon D, Brewer J, Edland S, Wegiel J, Tycko B, Savonenko A, Reeves RH, Troncoso JC, McBain CJ, Galasko D, Worley PF.

Elife. 2017 Mar 23;6. pii: e23798. doi: 10.7554/eLife.23798.

2.

Brain-Derived Neurotrophic Factor Serum Levels and Hippocampal Volume in Mild Cognitive Impairment and Dementia due to Alzheimer Disease.

Borba EM, Duarte JA, Bristot G, Scotton E, Camozzato AL, Chaves ML.

Dement Geriatr Cogn Dis Extra. 2016 Dec 9;6(3):559-567. doi: 10.1159/000450601. eCollection 2016 Sep-Dec.

3.

Magnetic Resonance Volumetry: Prediction of Subjective Memory Complaints and Mild Cognitive Impairment, and Associations with Genetic and Cardiovascular Risk Factors.

Rogne S, Vangberg T, Eldevik P, Wikran G, Mathiesen EB, Schirmer H.

Dement Geriatr Cogn Dis Extra. 2016 Nov 25;6(3):529-540. doi: 10.1159/000450885. eCollection 2016 Sep-Dec.

4.

Radiation Dose-Dependent Hippocampal Atrophy Detected With Longitudinal Volumetric Magnetic Resonance Imaging.

Seibert TM, Karunamuni R, Bartsch H, Kaifi S, Krishnan AP, Dalia Y, Burkeen J, Murzin V, Moiseenko V, Kuperman J, White NS, Brewer JB, Farid N, McDonald CR, Hattangadi-Gluth JA.

Int J Radiat Oncol Biol Phys. 2017 Feb 1;97(2):263-269. doi: 10.1016/j.ijrobp.2016.10.035. Epub 2016 Oct 31.

PMID:
28068234
5.

Predictive Utility of Marketed Volumetric Software Tools in Subjects at Risk for Alzheimer Disease: Do Regions Outside the Hippocampus Matter?

Tanpitukpongse TP, Mazurowski MA, Ikhena J, Petrella JR; Alzheimer's Disease Neuroimaging Initiative.

AJNR Am J Neuroradiol. 2017 Mar;38(3):546-552. doi: 10.3174/ajnr.A5061. Epub 2017 Jan 5.

PMID:
28057634
7.

Manual Planimetry of the Medial Temporal Lobe Versus Automated Volumetry of the Hippocampus in the Diagnosis of Alzheimer's Disease.

Menéndez González M, Suárez-Sanmartin E, García C, Martínez-Camblor P, Westman E, Simmons A.

Cureus. 2016 Mar 26;8(3):e544. doi: 10.7759/cureus.544.

8.

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
9.

Automated brain volumetrics in multiple sclerosis: a step closer to clinical application.

Wang C, Beadnall HN, Hatton SN, Bader G, Tomic D, Silva DG, Barnett MH.

J Neurol Neurosurg Psychiatry. 2016 Jul;87(7):754-7. doi: 10.1136/jnnp-2015-312304. Epub 2016 Apr 12.

10.

Development of a subjective cognitive decline questionnaire using item response theory: a pilot study.

Gifford KA, Liu D, Romano R 3rd, Jones RN, Jefferson AL.

Alzheimers Dement (Amst). 2015 Dec 1;1(4):429-439.

11.

The down syndrome biomarker initiative (DSBI) pilot: proof of concept for deep phenotyping of Alzheimer's disease biomarkers in down syndrome.

Rafii MS, Wishnek H, Brewer JB, Donohue MC, Ness S, Mobley WC, Aisen PS, Rissman RA.

Front Behav Neurosci. 2015 Sep 14;9:239. doi: 10.3389/fnbeh.2015.00239. eCollection 2015.

12.

A randomized, double-blind, placebo-controlled trial of resveratrol for Alzheimer disease.

Turner RS, Thomas RG, Craft S, van Dyck CH, Mintzer J, Reynolds BA, Brewer JB, Rissman RA, Raman R, Aisen PS; Alzheimer's Disease Cooperative Study.

Neurology. 2015 Oct 20;85(16):1383-91. doi: 10.1212/WNL.0000000000002035. Epub 2015 Sep 11.

13.

Evaluation of Cross-Protocol Stability of a Fully Automated Brain Multi-Atlas Parcellation Tool.

Liang Z, He X, Ceritoglu C, Tang X, Li Y, Kutten KS, Oishi K, Miller MI, Mori S, Faria AV.

PLoS One. 2015 Jul 24;10(7):e0133533. doi: 10.1371/journal.pone.0133533. eCollection 2015.

15.

Reliability of brain volume measurements: a test-retest dataset.

Maclaren J, Han Z, Vos SB, Fischbein N, Bammer R.

Sci Data. 2014 Oct 14;1:140037. doi: 10.1038/sdata.2014.37. eCollection 2014.

16.

Head-to-head comparison of two popular cortical thickness extraction algorithms: a cross-sectional and longitudinal study.

Redolfi A, Manset D, Barkhof F, Wahlund LO, Glatard T, Mangin JF, Frisoni GB; neuGRID Consortium, for the Alzheimer’s Disease Neuroimaging Initiative.

PLoS One. 2015 Mar 17;10(3):e0117692. doi: 10.1371/journal.pone.0117692. eCollection 2015.

17.

An evaluation of volume-based morphometry for prediction of mild cognitive impairment and Alzheimer's disease.

Schmitter D, Roche A, Maréchal B, Ribes D, Abdulkadir A, Bach-Cuadra M, Daducci A, Granziera C, Klöppel S, Maeder P, Meuli R, Krueger G; Alzheimer's Disease Neuroimaging Initiative.

Neuroimage Clin. 2014 Nov 8;7:7-17. doi: 10.1016/j.nicl.2014.11.001. eCollection 2015.

18.

The brain structural and cognitive basis of odor identification deficits in mild cognitive impairment and Alzheimer's disease.

Kjelvik G, Saltvedt I, White LR, Stenumgård P, Sletvold O, Engedal K, Skåtun K, Lyngvær AK, Steffenach HA, Håberg AK.

BMC Neurol. 2014 Aug 26;14:168. doi: 10.1186/s12883-014-0168-1.

19.

Prospective longitudinal MRI study of brain volumes and diffusion changes during the first year after moderate to severe traumatic brain injury.

Brezova V, Moen KG, Skandsen T, Vik A, Brewer JB, Salvesen O, Håberg AK.

Neuroimage Clin. 2014 Mar 28;5:128-40. doi: 10.1016/j.nicl.2014.03.012. eCollection 2014.

20.

MTA index: a simple 2D-method for assessing atrophy of the medial temporal lobe using clinically available neuroimaging.

Menéndez-González M, López-Muñiz A, Vega JA, Salas-Pacheco JM, Arias-Carrión O.

Front Aging Neurosci. 2014 Mar 24;6:23. doi: 10.3389/fnagi.2014.00023. eCollection 2014.

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