Nicholas J. Schmansky

Learn More
Longitudinal image analysis has become increasingly important in clinical studies of normal aging and neurodegenerative disorders. Furthermore, there is a growing appreciation of the potential utility of longitudinally acquired structural images and reliable image processing to evaluate disease modifying therapies. Challenges have been related to the(More)
Mild cognitive impairment can represent a transitional state between normal ageing and Alzheimer's disease. Non-invasive diagnostic methods are needed to identify mild cognitive impairment individuals for early therapeutic interventions. Our objective was to determine whether automated magnetic resonance imaging-based measures could identify mild cognitive(More)
OBJECTIVE To characterize rates of regional Alzheimer disease (AD)-specific brain atrophy across the presymptomatic, mild cognitive impairment, and dementia stages. DESIGN Multicenter case-control study of neuroimaging, cerebrospinal fluid, and cognitive test score data from the Alzheimer's Disease Neuroimaging Initiative. SETTING Research centers(More)
BACKGROUND Alzheimer's disease (AD) and its transitional state mild cognitive impairment (MCI) are characterized by amyloid plaque and tau neurofibrillary tangle (NFT) deposition within the cerebral neocortex and neuronal loss within the hippocampal formation. However, the precise relationship between pathologic changes in neocortical regions and(More)
The prediction of individuals with mild cognitive impairment (MCI) destined to develop Alzheimer's disease (AD) is of increasing clinical importance. In this study, using baseline T1-weighted MRI scans of 324 MCI individuals from two cohorts and automated software tools, we employed factor analyses and Cox proportional hazards models to identify a set of(More)
The Harvard community has made this article openly available. Please share how this access benefits you. Your story matters. Abstract Background: Alzheimer's disease (AD) and its transitional state mild cognitive impairment (MCI) are characterized by amyloid plaque and tau neurofibrillary tangle (NFT) deposition within the cerebral neocortex and neuronal(More)
The Cumulative Diffusion Model Here, we present a mathematical description of the cumulative diffusion model that we used in the present study to describe atrophy. This diffusion process was originally developed to study product adoption mechanisms in markets, cf. 1. Let us use € N(t) to denote the amount of tissue at time € t , and € N '(t) to denote the(More)
The Harvard community has made this article openly available. Please share how this access benefits you. Your story matters. *Data used in the preparation of this article were obtained from the Alzheimer's Disease Neuroimaging Initiative (Alzheimer's disease NI) database (http://www.loni.ucla.edu/Alzheimer's disease NI). As such, the investigators within(More)
Objective: To characterize rates of regional Alzheimer disease (AD)–specific brain atrophy across the presymp-tomatic, mild cognitive impairment, and dementia stages. Design: Multicenter case-control study of neuroimag-ing, cerebrospinal fluid, and cognitive test score data from the Alzheimer's Disease Neuroimaging Initiative. Patients:(More)
  • Desikan Rs, Sabuncu Mr, Schmansky Nj, M Reuter, Hj Cabral, Rahul S Desikan +10 others
  • 2010
The MIT Faculty has made this article openly available. Please share how this access benefits you. Your story matters. Abstract Background: Alzheimer's disease (AD) and its transitional state mild cognitive impairment (MCI) are characterized by amyloid plaque and tau neurofibrillary tangle (NFT) deposition within the cerebral neocortex and neuronal loss(More)
  • 1