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3393 Total Publications

Metabolic connectomics targeting brain pathology in dementia with Lewy bodies
S. P. Caminiti, M. Tettamanti, A. Sala, L. Presotto, S. Iannaccone, S. F. Cappa, G. Magnani, D. Perani and I. Alzheimer's Disease Neuroimaging
PMID: 27306756 ; PMCID:5453453 ; 2016; Journal J Cereb Blood Flow Metab; vol. 37; no. 4; pp. 1311-1325; doi:10.1177/0271678X16654497
A dynamic tree-based registration could handle possible large deformations among MR brain images
P. Zhang, G. Wu, Y. Gao, P. T. Yap and D. Shen
PMCID:4930896 ; 2016; Journal Comput Med Imaging Graph; vol. 52; pp. 7-Jan; doi:10.1016/j.compmedimag.2016.04.005
Detection of Alzheimer’s disease at mild cognitive impairment and disease progression using autoantibodies as blood-based biomarkers
C. A. DeMarshall, E. P. Nagele, A. Sarkar, N. K. Acharya, G. Godsey, E. L. Goldwaser, M. Kosciuk, U. Thayasivam, M. Han and B. Belinka
PMID: 27239548 ; PMCID:4879649 ; 2016; Journal Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring; vol. 3; pp. 51-62; doi:10.1016/j.dadm.2016.03.002
Quantitative Neuroimaging Software for Clinical Assessment of Hippocampal Volumes on MR Imaging
J. Ahdidan, C. A. Raji, E. A. DeYoe, J. Mathis, K. O. Noe, J. Rimestad, T. K. Kjeldsen, J. Mosegaard, J. T. Becker and O. Lopez
PMID: 26484924 ; PMCID:4718601 ; 2016; Journal J Alzheimers Dis; vol. 49; no. 3; pp. 723-32; doi:10.3233/JAD-150559
Manual segmentation of the fornix, fimbria, and alveus on high-resolution 3T MRI: Application via fully-automated mapping of the human memory circuit white and grey matter in healthy and pathological aging
R. S. C. Amaral, M. T. M. Park, G. A. Devenyi, V. Lynn, J. Pipitone, J. Winterburn, S. Chavez, M. Schira, N. J. Lobaugh, A. N. Voineskos, J. C. Pruessner, M. M. Chakravarty and I. Alzheimer's Disease Neuroimaging
PMID: 27765611 ; 2016; Journal Neuroimage; vol. 170; pp. 132-150; doi:10.1016/j.neuroimage.2016.10.027
Amyloid status imputed from a multimodal classifier including structural MRI distinguishes progressors from nonprogressors in a mild Alzheimer's disease clinical trial cohort
D. Tosun, Y. F. Chen, P. Yu, K. L. Sundell, J. Suhy, E. Siemers, A. J. Schwarz, M. W. Weiner and I. Alzheimer's Disease Neuroimaging
PMID: 27109039 ; 2016; Journal Alzheimers Dement; vol. 12; no. 9; pp. 977-986; doi:10.1016/j.jalz.2016.03.009
CSF Aβ1–42 – an excellent but complicated Alzheimer's biomarker – a route to standardisation
J. A. Kuhlmann, A. U., J. Pannee, M. Bjerke, E. Portelius, A. Leinenbach, T. Bittner, M. Korecka, R. G. Jenkins and Vanderstichele
PMID: 27216941 ; 2016; Journal Clinica Chimica Acta; vol. 467; pp. 27-33; doi:10.1016/j.cca.2016.05.014
Subjective rating of executive functions in mild Alzheimer's disease
J. Fogarty, E. Almklov, M. Borrie, J. Wells and R. M. Roth
2016; Journal Aging Ment Health; vol. 21; no. 11; pp. 1184-1191; doi:10.1080/13607863.2016.1207750
Estimation of diagnostic accuracy of a combination of continuous biomarkers allowing for conditional dependence between the biomarkers and the imperfect reference-test
L. Garcia Barrado, E. Coart and T. Burzykowski
2016; Journal Biometrics; vol. 73; no. 2; pp. 646-655; doi:10.1111/biom.12583
Impact of PICALM and CLU on hippocampal degeneration
X. Yang, J. Li, B. Liu, Y. Li and T. Jiang
2016; Journal Hum Brain Mapp; vol. 37; no. 7; pp. 2419-30; doi:10.1002/hbm.23183