Investigating microstructural variation in the human hippocampus using non-negative matrix factorization

In this work we use non-negative matrix factorization to identify patterns of microstructural variance in the human hippocampus. We utilize high-resolution structural and diffusion magnetic resonance imaging data from the Human Connectome Project to query hippocampus microstructure on a multivariate, voxelwise basis. Application of non-negative matrix factorization identifies spatial components (clusters of voxels sharing similar covariance patterns), as well as subject weightings (individual variance across hippocampus microstructure). By assessing the stability of spatial components as well as the accuracy of factorization, we identified 4 distinct microstructural components. Furthermore, we quantified the benefit of using multiple microstructural metrics by demonstrating that using three microstructural metrics (T1-weighted/T2-weighted signal, mean diffusivity and fractional anisotropy) produced more stable spatial components than when assessing metrics individually. Finally, we related individual subject weightings to demographic and behavioural measures using a partial least squares analysis. Through this approach we identified interpretable relationships between hippocampus microstructure and demographic and behavioural measures. Taken together, our work suggests non-negative matrix factorization as a spatially specific analytical approach for neuroimaging studies and advocates for the use of multiple metrics for data-driven component analyses

A Bi-Exponential Repair Algorithm for Radiation-Induced Double-Strand Breaks: Application to Chromosome Aberrations

Chromosome aberrations (CAs) are one of the effects of radiation exposure and are used as a biomarker. A new simulation program, named RITCARD (Radiation induced tracks, chromosome aberrations, repair, and damage) was developed to simulate radiation-induced CA. RITCARD is used with the program RITRACKS (Relativistic Ion Tracks), which simulates the radiation tracks. The restitution kinetics algorithm presented here is a significant improvement over the one used in the first version. Simulations of radiation-induced CA were performed for several ion types and mixed irradiation fields. These simulations will be useful to help interpreting experiments of galactic cosmic rays (GCR) simulator