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1739 Total Publications

Comparison of nine tractography algorithms for detecting abnormal structural brain networks in Alzheimer’s disease
Zhan L, Zhou J, Wang Y, Jin Y, Jahanshad N, Prasad G, Nir TM, Leonardo CD, Ye J, Thompson PM, For The Alzheimer's Disease Neuroimaging Initiative.
PMID: 25926791 ; PMCID:4396191 ; 2015; Journal Frontiers in Aging Neuroscience; vol. 7; pp. 48;
Deep sparse multi-task learning for feature selection in Alzheimer’s disease diagnosis
Suk, H.-I., Lee, S.-W., & Shen, D.
PMID: 25993900 ; PMCID:4714963 ; 2015; Journal Brain Structure and Function; vol. 221; no. 5; pp. 2569-87; doi:10.1007/s00429-015-1059-y
An Integrated Bioinformatics Approach for Identifying Genetic Markers that Predict Cerebrospinal Fluid Biomarker p-tau181/A􏰀1-42 Ratio in ApoE4-Negative Mild Cognitive Impairment Patients
Sun, Y., Bresell, A., Rantalainen, M., Hoglund, K., Lebouvier, T., & Salter, H.
PMID: 25720397 ; 2015; Journal Journal of Alzheimer's Disease; vol. 45; no. 4; pp. 1061-1076; doi:10.3233/JAD-142118
Functional Activities Questionnaire items that best discriminate and predict progression from clinically normal to mild cognitive impairment
Marshall GA, Zoller AS, Lorius N, Amariglio RE, Locascio JJ, Johnson KA, Sperling RA, Rentz DM, and for the Alzheimer’s Disease Neuroimaging Initiative.
PMID: 26017560 ; PMCID:4111766 ; 2015; Journal Current Alzheimer's Research; vol. 12; no. 5; pp. 493-502; doi:10.3233/JAD-132768
F-FDG PET for the early diagnosis of Alzheimer's disease dementia and other dementias in people with mild cognitive impairment (MCI)
Smailagic, N., Vacante, M., Hyde, C., Martin, S., Ukoumunne, O., & Sachpekidis, C.
PMID: 25629415 ; 2015; Journal The Cochrane Database of Systematic Reviews; vol. 1; pp. CD010632; doi:10.1002/14651858.CD010632.pub2
Connectivity analysis of normal and mild cognitive impairment patients based on FDG and PiB-PET images
Son, S.-J., Kim, J.-H., Seo, J., Lee, J.-M., & Park, H.
PMID: 25896866 ; 2015; Journal Neuroscience Research; vol. 98; pp. 50-8; doi:10.1016/j.neures.2015.04.002
Exploring multifractal-based features for mild Alzheimer's disease classification
H. Z. Ni, L.; Ning, X.; Wang, L.; Alzheimer's Disease Neuroimaging, Initiative
2015; Journal Magn Reson Med; vol. 76; no. 1; pp. 259-69; doi:10.1002/mrm.25853
Kernel bundle diffeomorphic image registration using stationary velocity fields and Wendland basis functions
A. Pai, S. Sommer, L. Sørensen, S. Darkner, J. Sporring and M. Nielsen
2015; Journal IEEE transactions on medical imaging; vol. 35; no. 6; pp. 1369-1380; doi:10.1109/TMI.2015.2511062
Automatic brain morphometry and volumetry using SPM on cognitively impaired patients.
Cutanda V, Moratal D, Arana E.
2015; Journal IEEE Transactions of Latin America; vol. 13; no. 4; pp. 1077-82;
Nonlinear Association Between Cerebrospinal Fluid and Florbetapir F-18 β-Amyloid Measures Across the Spectrum of Alzheimer Disease.
Toledo JB, Bjerke M, Da X, et al.
2015; Journal JAMA Neurology; vol. 72; no. 5; pp. 571;