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Items: 1 to 20 of 413

1.

Network-based analysis of genetic variants associated with hippocampal volume in Alzheimer's disease: a study of ADNI cohorts.

Song A, Yan J, Kim S, Risacher SL, Wong AK, Saykin AJ, Shen L, Greene CS; Alzheimer’s Disease Neuroimaging Initiative.

BioData Min. 2016 Jan 19;9:3. doi: 10.1186/s13040-016-0082-8. eCollection 2016.

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The Compression Flow as a Measure to Estimate the Brain Connectivity Changes in Resting State fMRI and 18FDG-PET Alzheimer's Disease Connectomes.

Zippo AG, Castiglioni I, Borsa VM, Biella GE.

Front Comput Neurosci. 2015 Dec 16;9:148. doi: 10.3389/fncom.2015.00148. eCollection 2015.

4.

Cerebral Amyloid and Hypertension are Independently Associated with White Matter Lesions in Elderly.

Scott JA, Braskie MN, Tosun D, Thompson PM, Weiner M, DeCarli C, Carmichael OT; Alzheimer’s Disease Neuroimaging Initiative.

Front Aging Neurosci. 2015 Dec 1;7:221. doi: 10.3389/fnagi.2015.00221. eCollection 2015.

5.

Epistasis analysis links immune cascades and cerebral amyloidosis.

Benedet AL, Labbe A, Lemay P, Zimmer ER, Pascoal TA, Leuzy A, Mathotaarachchi S, Mohades S, Shin M, Dionne-Laporte A, Beaudry T, Picard C, Gauthier S, Poirier J, Rouleau G, Rosa-Neto P; Alzheimer’s Disease Neuroimaging Initiative.

J Neuroinflammation. 2015 Dec 1;12(1):227. doi: 10.1186/s12974-015-0436-z.

6.

Exploratory graphical models of functional and structural connectivity patterns for Alzheimer's Disease diagnosis.

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

Front Comput Neurosci. 2015 Nov 3;9:132. doi: 10.3389/fncom.2015.00132. eCollection 2015.

7.

Genetic Interactions Explain Variance in Cingulate Amyloid Burden: An AV-45 PET Genome-Wide Association and Interaction Study in the ADNI Cohort.

Li J, Zhang Q, Chen F, Yan J, Kim S, Wang L, Feng W, Saykin AJ, Liang H, Shen L.

Biomed Res Int. 2015;2015:647389. doi: 10.1155/2015/647389. Epub 2015 Sep 3.

8.

Improving (18)F-Fluoro-D-Glucose-Positron Emission Tomography/Computed Tomography Imaging in Alzheimer's Disease Studies.

Knešaurek K.

World J Nucl Med. 2015 Sep-Dec;14(3):171-7. doi: 10.4103/1450-1147.163246.

9.

Subtle Cognitive Decline and Biomarker Staging in Preclinical Alzheimer's Disease.

Edmonds EC, Delano-Wood L, Galasko DR, Salmon DP, Bondi MW; Alzheimer’s Disease Neuroimaging Initiative.

J Alzheimers Dis. 2015;47(1):231-42. doi: 10.3233/JAD-150128.

10.

Magnetic resonance imaging biomarkers for the early diagnosis of Alzheimer's disease: a machine learning approach.

Salvatore C, Cerasa A, Battista P, Gilardi MC, Quattrone A, Castiglioni I; Alzheimer's Disease Neuroimaging Initiative.

Front Neurosci. 2015 Sep 1;9:307. doi: 10.3389/fnins.2015.00307. eCollection 2015.

11.

A Multi-Marker Genetic Association Test Based on the Rasch Model Applied to Alzheimer's Disease.

Wang W, Mandel J, Bouaziz J, Commenges D, Nabirotchkine S, Chumakov I, Cohen D, Guedj M; Alzheimer’s Disease Neuroimaging Initiative.

PLoS One. 2015 Sep 17;10(9):e0138223. doi: 10.1371/journal.pone.0138223. eCollection 2015.

12.

Relationship between the Montreal Cognitive Assessment and Mini-mental State Examination for assessment of mild cognitive impairment in older adults.

Trzepacz PT, Hochstetler H, Wang S, Walker B, Saykin AJ; Alzheimer’s Disease Neuroimaging Initiative.

BMC Geriatr. 2015 Sep 7;15:107. doi: 10.1186/s12877-015-0103-3.

13.

Altered whole-brain white matter networks in preclinical Alzheimer's disease.

Fischer FU, Wolf D, Scheurich A, Fellgiebel A; Alzheimer's Disease Neuroimaging Initiative.

Neuroimage Clin. 2015 Jun 30;8:660-6. doi: 10.1016/j.nicl.2015.06.007. eCollection 2015.

14.

A Subset of Cerebrospinal Fluid Proteins from a Multi-Analyte Panel Associated with Brain Atrophy, Disease Classification and Prediction in Alzheimer's Disease.

Khan W, Aguilar C, Kiddle SJ, Doyle O, Thambisetty M, Muehlboeck S, Sattlecker M, Newhouse S, Lovestone S, Dobson R, Giampietro V, Westman E, Simmons A; Alzheimer’s Disease Neuroimaging Initiative.

PLoS One. 2015 Aug 18;10(8):e0134368. doi: 10.1371/journal.pone.0134368. eCollection 2015.

15.

Boosting brain connectome classification accuracy in Alzheimer's disease using higher-order singular value decomposition.

Zhan L, Liu Y, Wang Y, Zhou J, Jahanshad N, Ye J, Thompson PM; Alzheimer's Disease Neuroimaging Initiative (ADNI).

Front Neurosci. 2015 Jul 24;9:257. doi: 10.3389/fnins.2015.00257. eCollection 2015.

16.

Variations in the FRA10AC1 Fragile Site and 15q21 Are Associated with Cerebrospinal Fluid Aβ1-42 Level.

Li QS, Parrado AR, Samtani MN, Narayan VA; Alzheimer’s Disease Neuroimaging Initiative.

PLoS One. 2015 Aug 7;10(8):e0134000. doi: 10.1371/journal.pone.0134000. eCollection 2015.

17.

A Riemannian Framework for Intrinsic Comparison of Closed Genus-Zero Shapes.

Gutman BA, Fletcher PT, Cardoso MJ, Fleishman GM, Lorenzi M, Thompson PM, Ourselin S.

Inf Process Med Imaging. 2015;24:205-18.

18.

Associations between Verbal Learning Slope and Neuroimaging Markers across the Cognitive Aging Spectrum.

Gifford KA, Phillips JS, Samuels LR, Lane EM, Bell SP, Liu D, Hohman TJ, Romano RR 3rd, Fritzsche LR, Lu Z, Jefferson AL; Alzheimer’s Disease Neuroimaging Initiative.

J Int Neuropsychol Soc. 2015 Jul;21(6):455-67. doi: 10.1017/S1355617715000430.

19.

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.

20.

The relative importance of imaging markers for the prediction of Alzheimer's disease dementia in mild cognitive impairment - Beyond classical regression.

Teipel SJ, Kurth J, Krause B, Grothe MJ; Alzheimer's Disease Neuroimaging Initiative.

Neuroimage Clin. 2015 May 21;8:583-93. doi: 10.1016/j.nicl.2015.05.006. eCollection 2015.

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