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Publications

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4453 Total Publications

Multiple Testing for Neuroimaging via Hidden Markov Random Field
Shu, H., Nan, B., & Koeppe, R.
PMID: 26012881 ; PMCID:4579542 ; 2014; Journal Biometrics; vol. 71; no. 3; pp. 741-50;

Down syndrome and Alzheimer's disease: Common pathways, common goals
Hartley D1, Blumenthal T2, Carrillo M3, DiPaolo G4, Esralew L5, Gardiner K6, Granholm AC7, Iqbal K8, Krams M9, Lemere C10, Lott I11, Mobley W12, Ness S9, Nixon R13, Potter H14, Reeves R15, Sabbagh M16, Silverman W17, Tycko B4, Whitten M18, Wisniewski T19
PMID: 25510383 ; PMCID:4817997 ; 2014; Journal Alzheimer's and Dementia; vol. 11; no. 6; pp. 700-9; doi:10.1016/j.jalz.2014.10.007

Delphi definition of the EADC-ADNI Harmonized Protocol for hippocampal segmentation on magnetic resonance
Boccardi, M., Bocchetta, M., Apostolova, L. G., Barnes, J., Bartzokis, G., Corbetta, G., … Frisoni, G. B.
PMID: 25130658 ; PMCID:4419736 ; 2014; Journal Alzheimer's and Dementia; vol. 11; no. 2; pp. 126-38; doi:10.1016/j.jalz.2014.02.009

Harmonized benchmark labels of the hippocampus on magnetic resonance: The EADC-ADNI project
Bocchetta, M., Boccardi, M., Ganzola, R., Apostolova, L. G., Preboske, G., Wolf, D., … Frisoni, G. B.
PMID: 25223727 ; 2014; Journal Alzheimer's and Dementia; vol. 11; no. 2; pp. 151-60; doi:10.1016/j.jalz.2013.12.019

Dual-Retrieval Models and Neurocognitive Impairment
Brainerd, C. J., Reyna, V. F., Gomes, C. F. A., Kenney, A. E., Gross, C. J., Taub, E. S., & Spreng, R. N.
PMID: 23978235 ; 2014; Journal Journal of Experimental Psychology: Learning, Memory, and Cognition; vol. 40; no. 1; pp. 41-65; doi:10.1037/a0034057

Higher homocysteine associated with thinner cortical gray matter in 803 participants from the Alzheimer’s Disease Neuroimaging Initiative
Madsen, S. K., Rajagopalan, P., Joshi, S. H., Toga, A. W., & Thompson, P. M
PMID: 25444607 ; PMCID:4268346 ; 2014; Journal Neurobiology of Aging; vol. 36; pp. S203-S210; doi:10.1016/j.neurobiolaging.2014.01.154

Magnetization-prepared rapid acquisition with gradient echo magnetic resonance imaging signal and texture features for the prediction of mild cognitive impairment to Alzheimer’s disease progression
Martinez-Torteya, A., Rodriguez-Rojas, J., Celaya-Padilla, J. M., Galván-Tejada, J. I., Treviño, V., & Tamez-Peña, J.
PMID: 26158047 ; PMCID:4479020 ; 2014; Journal Journal of Medical Imaging; vol. 1; no. 3; pp. 31005; doi:10.1117/1.JMI.1.3.031005

Identifying Informative Imaging Biomarkers via Tree Structured Sparse Learning for AD Diagnosis
Liu, M., Zhang, D., & Shen, D.
PMID: 24338729 ; PMCID:4058415 ; 2014; Journal Neuroinformatics; vol. 12; no. 3; pp. 381-94; doi:10.1007/s12021-013-9218-x

Predicting Reduction of Cerebrospinal Fluid β-Amyloid 42 in Cognitively Healthy Controls
Mattsson N1, Insel PS2, Donohue M3, Jagust W4, Sperling R5, Aisen P6, Weiner MW2; Alzheimer’s Disease Neuroimaging Initiative
PMID: 25775167 ; 2014; Journal JAMA Neurology; vol. 72; no. 5; pp. 554-60; doi:10.1001/jamaneurol.2014.4530

Impaired glycemia increases disease progression in mild cognitive impairment.
Morris, J. K., Vidoni, E. D., Honea, R. a., & Burns, J. M.
PMID: 24411018 ; PMCID:3894574 ; 2014; Journal Neurobiology of Aging; vol. 35; no. 3; pp. 585-589; doi:10.1016/j.neurobiolaging.2013.09.033