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Items: 1 to 20 of 181

1.

Predicting Alzheimer's disease progression using multi-modal deep learning approach.

Lee G, Nho K, Kang B, Sohn KA, Kim D; for Alzheimer’s Disease Neuroimaging Initiative.

Sci Rep. 2019 Feb 13;9(1):1952. doi: 10.1038/s41598-018-37769-z.

2.

Type 2 diabetes mellitus, brain atrophy, and cognitive decline.

Moran C, Beare R, Wang W, Callisaya M, Srikanth V; Alzheimer's Disease Neuroimaging Initiative (ADNI).

Neurology. 2019 Jan 23. pii: 10.1212/WNL.0000000000006955. doi: 10.1212/WNL.0000000000006955. [Epub ahead of print]

PMID:
30674592
3.

Regional Amyloid-β Load and White Matter Abnormalities Contribute to Hypometabolism in Alzheimer's Dementia.

Schilling LP, Pascoal TA, Zimmer ER, Mathotaarachchi S, Shin M, de Mello Rieder CR, Gauthier S, Palmini A, Rosa-Neto P; Alzheimer’s Disease Neuroimaging Initiative.

Mol Neurobiol. 2018 Nov 9. doi: 10.1007/s12035-018-1405-1. [Epub ahead of print]

PMID:
30414086
4.

Uncovering the heterogeneity and temporal complexity of neurodegenerative diseases with Subtype and Stage Inference.

Young AL, Marinescu RV, Oxtoby NP, Bocchetta M, Yong K, Firth NC, Cash DM, Thomas DL, Dick KM, Cardoso J, van Swieten J, Borroni B, Galimberti D, Masellis M, Tartaglia MC, Rowe JB, Graff C, Tagliavini F, Frisoni GB, Laforce R Jr, Finger E, de Mendonça A, Sorbi S, Warren JD, Crutch S, Fox NC, Ourselin S, Schott JM, Rohrer JD, Alexander DC; Genetic FTD Initiative (GENFI); Alzheimer’s Disease Neuroimaging Initiative (ADNI).

Nat Commun. 2018 Oct 15;9(1):4273. doi: 10.1038/s41467-018-05892-0.

5.

Characteristic patterns of inter- and intra-hemispheric metabolic connectivity in patients with stable and progressive mild cognitive impairment and Alzheimer's disease.

Huang SY, Hsu JL, Lin KJ, Liu HL, Wey SP, Hsiao IT; Alzheimer’s Disease Neuroimaging Initiative.

Sci Rep. 2018 Sep 14;8(1):13807. doi: 10.1038/s41598-018-31794-8.

6.

Quantitative and qualitative assessment of pollen DNA metabarcoding using constructed species mixtures.

Bell KL, Burgess KS, Botsch JC, Dobbs EK, Read TD, Brosi BJ.

Mol Ecol. 2019 Jan;28(2):431-455. doi: 10.1111/mec.14840. Epub 2018 Sep 7.

PMID:
30118180
7.

Identification of genetic risk factors in the Chinese population implicates a role of immune system in Alzheimer's disease pathogenesis.

Zhou X, Chen Y, Mok KY, Zhao Q, Chen K, Chen Y, Hardy J, Li Y, Fu AKY, Guo Q, Ip NY; Alzheimer’s Disease Neuroimaging Initiative.

Proc Natl Acad Sci U S A. 2018 Feb 20;115(8):1697-1706. doi: 10.1073/pnas.1715554115. Epub 2018 Feb 5.

8.

18F-florbetapir Positron Emission Tomography-determined Cerebral β-Amyloid Deposition and Neurocognitive Performance after Cardiac Surgery.

Klinger RY, James OG, Borges-Neto S, Bisanar T, Li YJ, Qi W, Berger M, Terrando N, Newman MF, Doraiswamy PM, Mathew JP; Alzheimer’s Disease Neuroimaging Initiative (ADNI) Study Group; Neurologic Outcomes Research Group (NORG).

Anesthesiology. 2018 Apr;128(4):728-744. doi: 10.1097/ALN.0000000000002103.

PMID:
29389750
9.

Statistical tests and identifiability conditions for pooling and analyzing multisite datasets.

Zhou HH, Singh V, Johnson SC, Wahba G; Alzheimer’s Disease Neuroimaging Initiative.

Proc Natl Acad Sci U S A. 2018 Feb 13;115(7):1481-1486. doi: 10.1073/pnas.1719747115. Epub 2018 Jan 31.

10.

Pattern Discovery in Brain Imaging Genetics via SCCA Modeling with a Generic Non-convex Penalty.

Du L, Liu K, Yao X, Yan J, Risacher SL, Han J, Guo L, Saykin AJ, Shen L; Alzheimer’s Disease Neuroimaging Initiative.

Sci Rep. 2017 Oct 25;7(1):14052. doi: 10.1038/s41598-017-13930-y.

11.

Alzheimer disease brain atrophy subtypes are associated with cognition and rate of decline.

Risacher SL, Anderson WH, Charil A, Castelluccio PF, Shcherbinin S, Saykin AJ, Schwarz AJ; Alzheimer's Disease Neuroimaging Initiative.

Neurology. 2017 Nov 21;89(21):2176-2186. doi: 10.1212/WNL.0000000000004670. Epub 2017 Oct 25.

12.

In vivo staging of regional amyloid deposition.

Grothe MJ, Barthel H, Sepulcre J, Dyrba M, Sabri O, Teipel SJ; Alzheimer's Disease Neuroimaging Initiative.

Neurology. 2017 Nov 14;89(20):2031-2038. doi: 10.1212/WNL.0000000000004643. Epub 2017 Oct 18.

13.

Corrigendum: Conversion Discriminative Analysis on Mild Cognitive Impairment Using Multiple Cortical Features from MR Images.

Guo S, Lai C, Wu C, Cen G; Alzheimer's Disease Neuroimaging Initiative.

Front Aging Neurosci. 2017 Sep 5;9:293. doi: 10.3389/fnagi.2017.00293. eCollection 2017.

14.

APOE genotype and early β-amyloid accumulation in older adults without dementia.

Lim YY, Mormino EC; Alzheimer's Disease Neuroimaging Initiative.

Neurology. 2017 Sep 5;89(10):1028-1034. doi: 10.1212/WNL.0000000000004336. Epub 2017 Aug 9.

15.

Applying pollen DNA metabarcoding to the study of plant-pollinator interactions.

Bell KL, Fowler J, Burgess KS, Dobbs EK, Gruenewald D, Lawley B, Morozumi C, Brosi BJ.

Appl Plant Sci. 2017 Jun 12;5(6). pii: apps.1600124. doi: 10.3732/apps.1600124. eCollection 2017 Jun.

16.

Chance long-distance or human-mediated dispersal? How Acacia s.l. farnesiana attained its pan-tropical distribution.

Bell KL, Rangan H, Fernandes MM, Kull CA, Murphy DJ.

R Soc Open Sci. 2017 Apr 12;4(4):170105. doi: 10.1098/rsos.170105. eCollection 2017 Apr.

17.

Adding Recognition Discriminability Index to the Delayed Recall Is Useful to Predict Conversion from Mild Cognitive Impairment to Alzheimer's Disease in the Alzheimer's Disease Neuroimaging Initiative.

Russo MJ, Campos J, Vázquez S, Sevlever G, Allegri RF; Alzheimer's Disease Neuroimaging Initiative.

Front Aging Neurosci. 2017 Mar 10;9:46. doi: 10.3389/fnagi.2017.00046. eCollection 2017.

18.

Construction and Analysis of Weighted Brain Networks from SICE for the Study of Alzheimer's Disease.

Munilla J, Ortiz A, Górriz JM, Ramírez J; Alzheimer's Disease Neuroimaging Initiative.

Front Neuroinform. 2017 Mar 10;11:19. doi: 10.3389/fninf.2017.00019. eCollection 2017.

19.

An rbcL reference library to aid in the identification of plant species mixtures by DNA metabarcoding.

Bell KL, Loeffler VM, Brosi BJ.

Appl Plant Sci. 2017 Mar 10;5(3). pii: apps.1600110. doi: 10.3732/apps.1600110. eCollection 2017 Mar.

20.

Mining Outcome-relevant Brain Imaging Genetic Associations via Three-way Sparse Canonical Correlation Analysis in Alzheimer's Disease.

Hao X, Li C, Du L, Yao X, Yan J, Risacher SL, Saykin AJ, Shen L, Zhang D; Alzheimer’s Disease Neuroimaging Initiative.

Sci Rep. 2017 Mar 14;7:44272. doi: 10.1038/srep44272.

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