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Longitudinal Magnetic Resonance Imaging Studies of Older Adults: A Shrinking Brain
Age-related loss of brain tissue has been inferred from cross-sectional neuroimaging studies, but direct measurements of gray and white matter changes from longitudinal studies are lacking. WeExpand
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Deformable Medical Image Registration: A Survey
Deformable image registration is a fundamental task in medical image processing. Among its most important applications, one may cite: 1) multi-modality fusion, where information acquired by differentExpand
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Prediction of MCI to AD conversion, via MRI, CSF biomarkers, and pattern classification
Magnetic resonance imaging (MRI) patterns were examined together with cerebrospinal fluid (CSF) biomarkers in serial scans of Alzheimer's Disease Neuroimaging Initiative (ADNI) participants with mildExpand
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Benchmarking of participant-level confound regression strategies for the control of motion artifact in studies of functional connectivity
&NA; Since initial reports regarding the impact of motion artifact on measures of functional connectivity, there has been a proliferation of participant‐level confound regression methods to limit itsExpand
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Measurement of Radiotracer Concentration in Brain Gray Matter Using Positron Emission Tomography: MRI-Based Correction for Partial Volume Effects
Accuracy in in vivo quantitation of brain function with positron emission tomography (PET) has often been limited by partial volume effects. This limitation becomes prominent in studies of aging andExpand
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One-year age changes in MRI brain volumes in older adults.
Longitudinal studies indicate that declines in cognition and memory accelerate after age 70 years. The neuroanatomic and neurophysiologic underpinnings of cognitive change are unclear, as there isExpand
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Spatial patterns of brain atrophy in MCI patients, identified via high-dimensional pattern classification, predict subsequent cognitive decline
Spatial patterns of brain atrophy in mild cognitive impairment (MCI) and Alzheimer's disease (AD) were measured via methods of computational neuroanatomy. These patterns were spatially complex andExpand
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Imaging cortical association tracts in the human brain using diffusion‐tensor‐based axonal tracking
Diffusion‐tensor fiber tracking was used to identify the cores of several long‐association fibers, including the anterior (ATR) and posterior (PTR) thalamic radiations, and the uncinate (UNC),Expand
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Detection of prodromal Alzheimer's disease via pattern classification of magnetic resonance imaging
We report evidence that computer-based high-dimensional pattern classification of magnetic resonance imaging (MRI) detects patterns of brain structure characterizing mild cognitive impairment (MCI),Expand
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Classifying spatial patterns of brain activity with machine learning methods: Application to lie detection
Patterns of brain activity during deception have recently been characterized with fMRI on the multi-subject average group level. The clinical value of fMRI in lie detection will be determined by theExpand
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