Microstructure & Connectivity Lab 
Publications (Review, Commentary, Consensus)

Edited by: Bramsh Qamar Chandio, Kurt G. Schilling and Julio E. Villalon-Reina

Journal: Frontiers in Neuroscience (2025)

Summary: Explore our new Research Topic, 'Methods and applications of diffusion MRI tractometry,' which highlights the transformation of tractometry into a powerful framework for quantifying white matter microstructure with high anatomical specificity. This collection of sixteen articles spans cutting-edge methodological innovations - including reproducible software and validation tools - and diverse clinical applications ranging from autism and multiple sclerosis to lifespan development. By advancing beyond traditional voxel-based metrics to precise along-tract profiling, these contributions offer critical new insights into the human connectome and disease mechanisms. Read the full e-book to discover how these emerging techniques and open-source resources are reshaping the future of neuroimaging research.

Authors: Kurt G. Schilling, Fan Zhang, J-Donald Tournier, Francesco Vergani, Stamatios N. Sotiropoulos, Ariel Rokem, and Lauren J. O'Donnell.

Journal: Brain Structure & Function (2025)

Summary: Originating from the inaugural International Society of Tractography (IST) debate, this article tackles a fundamental controversy in neuroimaging: 'Can tractography give us anything we can't get from an atlas template?'. We critically compare the standardized efficiency of population-based white matter atlases against the personalized precision of subject-specific tractography across four key domains: microstructure, macrostructure, pathway localization, and connectomics. Ultimately, we argue that while atlases drive reproducibility, individualized virtual dissection is indispensable for capturing patient-specific anatomical variability and mapping unique structural connectivity in both health and disease.

Authors: Kurt Schilling, Fan Zhang, Claudio Román, Lauren O’Donnell, Pamela Guevara

Journal: Brain Structure and Function (2025)

Summary: This correspondence outlines key insights into the tractography of short association fibers (SAFs), using a “Did You Know” format to highlight current challenges, progress, and future directions. (1) Did you know SAFs form a dense mesh of superficial white matter and differ from long-range tracts in structure, development, and vulnerability? (2) Did you know reconstructing SAFs is difficult due to their short length, high curvature, and proximity to cortex? (3) Did you know recent advances in acquisition, modeling, and segmentation - like deep learning and high-resolution MRI - have made SAF tractography feasible? (4) Did you know there is no standard classification for SAFs, with atlases and clustering strategies still evolving? (5) Did you know SAFs are sensitive to developmental and pathological changes and are implicated in Alzheimer’s, schizophrenia, autism, and MS?

Authors: Ileana O. Jelescu, Francesco Grussu, Andrada Ianus, Brian Hansen, Rachel L. C. Barrett, Manisha Aggarwal, Stijn Michielse, Fatima Nasrallah, Warda Syeda, Nian Wang, Jelle Veraart, Alard Roebroeck, Andrew F. Bagdasarian, Cornelius Eichner, Farshid Sepehrband, Jan Zimmermann, Lucas Soustelle, Christien Bowman, Benjamin C. Tendler, Andreea Hertanu, Ben Jeurissen, Marleen Verhoye, Lucio Frydman, Yohan van de Looij, David Hike, Jeff F. Dunn, Karla Miller, Bennett A. Landman, Noam Shemesh, Adam Anderson, Emilie McKinnon, Shawna Farquharson, Flavio Dell’Acqua, Carlo Pierpaoli, Ivana Drobnjak, Alexander Leemans, Kevin D. Harkins, Maxime Descoteaux, Duan Xu, Hao Huang, Mathieu D. Santin, Samuel C. Grant, Andre Obenaus, Gene S. Kim, Dan Wu, Denis Le Bihan, Stephen J. Blackband, Luisa Ciobanu, Els Fieremans, Ruiliang Bai, Trygve B. Leergaard, Jiangyang Zhang, Tim B. Dyrby, G. Allan Johnson, Julien Cohen-Adad, Matthew D. Budde, Kurt G. Schilling

Journal: Magnetic Resonance in Medicine (2025)

Summary: These three papers from the ISMRM Diffusion Study Group provide best practices and recommendations for preclinical diffusion MRI (dMRI). Part 1 focuses on in vivo small-animal imaging, detailing considerations for species selection, imaging protocols, and analysis to enhance rigor and reproducibility​. Part 2 explores ex vivo imaging, highlighting its advantages—such as higher resolution, improved signal-to-noise ratio (SNR), and direct histological comparisons—while addressing challenges in tissue preparation and acquisition​. Part 3 covers ex vivo data processing, discussing preprocessing steps, diffusion model fitting, and comparisons with microscopy and tractography, aiming to improve methodological validation and open science efforts​. Together, these works provide a comprehensive guide to optimizing preclinical dMRI research.