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Ades-Aron, B.

Publications and source records attributed to Ades-Aron, B..

2 recordsLinked to original sources

PyDesigner: A Pythonic Implementation of the DESIGNER Pipeline for Diffusion Tensor and Diffusional Kurtosis Imaging

PyDesigner is an open-source and containerized Python software package, adapted from the DESIGNER pipeline, for diffusion weighted magnetic resonance imaging preprocessing and tensor estimation. PyDesigner combines tools from FSL and MRtrix3 to reduce the effects of signal noise and imaging artifacts on multiple diffusion measures that can be derived from the diffusion and kurtosis tensors. This publication describes the main features of PyDesigner and highlights its ease of use across platforms, while examining its accuracy and robustness in deriving commonly used diffusion and kurtosis metrics.

neuroscience↗

Spatial relationships between white matter degeneration, amyloid load and cortical volume in amnestic mild cognitive impairment

The spatial-temporal relationships between gray and white matter (WM) degeneration during preclinical and early symptomatic Alzheimers disease are poorly understood. We characterized {beta}-amyloid deposition, cortical volume and WM degeneration in 44 subjects including healthy control (N=23), amnestic mild cognitive impairment (aMCI) (N=19), and early Alzheimers subjects (N=2). Integrated PET-MRI provided simultaneous measurement of 18F-Florbetapir uptake in cortical areas, regional brain volumes from structural MRI, and WM tract integrity metrics from diffusion MRI using biophysical modeling.\n\nAcross the cohort of healthy control and aMCIs, cortical volumes correlated poorly with {beta}-amyloid deposition in the same area (p < 0.05 only in the posterior cingulate and parietal lobe). WM degeneration correlated significantly with both amyloid and volume of connected cortical areas, but more strongly with volume. Diffusion MRI metrics for WM demyelination and/or axonal loss could therefore provide new biomarkers associated with clinical Alzheimers conversion. These WM changes may represent sequential propagation of Alzheimers neurodegeneration between functionally connected regions, and/or evidence of direct WM injury during the Alzheimers pathology cascade.

neuroscience↗