Marco Reisert

TL;DR: In this paper, a convolution of the underlying image with a sinc function was proposed to sample the ringing pattern at the zero-crossings of the oscillating sincfunction.

TL;DR: This work represents a multi‐institutional collaborative effort to develop a comprehensive, open source pipeline for DBS imaging and connectomics, which has already empowered several studies, and may facilitate a variety of future studies in the field.

TL;DR: A common dataset with known ground truth and a reproducible methodology to quantitatively evaluate the performance of various diffusion models and tractography algorithms is used and evidence that diffusion models such as (fiber) orientation distribution functions correctly model the underlying fiber distribution is provided.

TL;DR: For the first time among global reconstruction methods, the computation time is acceptable for a broad class of practical applications and the method does not involve any boundary conditions that prescribe the location of the ends of reconstructed fibers.

TL;DR: The data suggests that the DMN is the functional brain network, which uses the most direct structural connections, which seems to shape its functional repertoire and the computation of the whole-brain functional-structural connectome appears to be a valuable method to characterize global brain connectivity within and between populations.