Advances in understanding the structural connectomes of human brain require improved
approaches for the construction, comparison and integration of high-dimensional whole …

There are two popular approaches for automated white matter parcellation using diffusion
MRI tractography, including fiber clustering strategies that group white matter fibers …

Tractography is a powerful tool to study brain connectivity in vivo, but it is well known to
suffer from an intrinsic trade-off between sensitivity and specificity. A critical–but usually …

Structural connectomes are increasingly mapped at high spatial resolutions comprising
many hundreds—if not thousands—of network nodes. However, high-resolution …

There has been increasing interest in jointly studying structural connectivity (SC) and
functional connectivity (FC) derived from diffusion and functional MRI. Previous connectome …

This work presents a suprathreshold fiber cluster (STFC) method that leverages the whole
brain fiber geometry to enhance statistical group difference analyses. The proposed method …

Connectomics has proved promising in quantifying and understanding the effects of
development, aging and an array of diseases on the brain. In this work, we propose a new …

Despite the widespread exploration and availability of parcellations for the functional
connectome, parcellations designed for the structural connectome are comparatively limited …

Continuous and atlas-free analysis of brain structural connectivity Page 1 The Annals of Applied
Statistics 2024, Vol. 18, No. 3, 1815–1839 https://doi.org/10.1214/23-AOAS1858 © Institute of …

This work considers a continuous framework to characterize the population-level variability
of structural connectivity. Our framework assumes the observed white matter fiber tract …