Gomar, Jesus J., Bobes-Bascaran, Maria T., Conejero-Goldberg, Concepcion, Davies, Peter, Goldberg, Terry E.

Context: Biomarkers have become increasingly important in understanding neurodegenerative processes associated with Alzheimer disease. Markers include regional brain volumes, cerebrospinal fluid measures of pathological Aβ1-42 and total tau, cognitive measures, and individual risk factors. Objective: To determine the discriminative utility of different classes of biomarkers and cognitive markers by examining their ability to predict a […]

Ellis, Kathryn A., Rowe, Christopher C., Villemagne, Victor L., Martins, Ralph N., Masters, Colin L., Salvado, Olivier, Szoeke, Cassandra, Ames, David

The Australian Imaging Biomarkers and Lifestyle (AIBL) study is a longitudinal study of 1112 volunteers from healthy, mild cognitive impairment, and Alzheimer’s disease (AD) populations who can be assessed and followed up for prospective research into aging and AD. AIBL aims to improve understanding of the pathogenesis, early clinical manifestation, and diagnosis of AD, and […]

van Paasschen, J., Clare, L., Yuen, K. S. L., Woods, R. T., Evans, S. J., Parkinson, C. H., Rugg, M. D., Linden, D. E. J.

Background: People with Alzheimer disease (AD) are capable of new learning when cognitive support is provided, suggesting that there is plasticity even in a degenerating brain. However, it is unclear how a cognition-focused intervention operates on a neural level.; Objective: The present study examined the effects of cognitive rehabilitation (CR) on memory-related brain activation in […]

Tosun, Duygu, Joshi, Sarang, Weiner, Michael W.

Objective: To identify a neuroimaging signature predictive of brain amyloidosis as a screening tool to identify individuals with mild cognitive impairment (MCI) that are most likely to have high levels of brain amyloidosis or to be amyloid-free.; Methods: The prediction model cohort included 62 MCI subjects screened with structural magnetic resonance imaging (MRI) and (11) […]

Ragin, Ann B., D’Souza, Gypsyamber, Reynolds, Sandra, Miller, Eric, Sacktor, Ned, Selnes, Ola A., Martin, Eileen, Visscher, Barbara R., Becker, James T.

An association between platelet decline and increased risk of progression to dementia has been observed in an advanced HIV infection cohort study. This investigation evaluated the prognostic significance of platelet decline for dementia, for psychomotor slowing, and for brain injury, as quantified in vivo, in a much larger population of HIV+ men. Platelet counts and […]

Li, Rongjian, Zhang, Wenlu, Suk, Heung-Il, Wang, Li, Li, Jiang, Shen, Dinggang, Ji, Shuiwang

Combining multi-modality brain data for disease diagnosis commonly leads to improved performance. A challenge in using multimodality data is that the data are commonly incomplete; namely, some modality might be missing for some subjects. In this work, we proposed a deep learning based framework for estimating multi-modality imaging data. Our method takes the form of […]

Bondi, Mark W., Edmonds, Emily C., Jak, Amy J., Clark, Lindsay R., Delano-Wood, Lisa, McDonald, Carrie R., Nation, Daniel A., Libon, David J., Au, Rhoda, Galasko, Douglas, Salmon, David P.

We compared two methods of diagnosing mild cognitive impairment (MCI): conventional Petersen/Winblad criteria as operationalized by the Alzheimer’s Disease Neuroimaging Initiative (ADNI) and an actuarial neuropsychological method put forward by Jak and Bondi designed to balance sensitivity and reliability. 1,150 ADNI participants were diagnosed at baseline as cognitively normal (CN) or MCI via ADNI criteria […]