A paper about simultaneous analysis of features from different MRI modalities entitled Multimodal fusion analysis of structural connectivity and gray matter morphology in migraine has been published in Human Brain Mapping. This article has been written by Álvaro Planchuelo-Gómez, Santiago Aja-Fernández and Rodrigo de Luis-García, in collaboration with the Headache Unit and the Department of Radiology of the Clinical Hospital of Valladolid. The methodology of this research allowed to assess the associated changes between specific features with no need of descriptor maps. Regarding migraine biomarkers, strengthened connections with pain processing regions and weakened connections within each lobe were identified in both groups of migraine patients. The article is available (Open Access) here: https://doi.org/10.1002/hbm.25267
Laboratorio de Procesado de Imagen
(Image Processing Lab)
Campus Miguel Delibes s/n
Universidad de Valladolid
47011 Valladolid, Spain
Do you want to estimate advance diffusion features, time-efficiently and accurately? With 2 shells and a couple of minutes, MiSFIT can do the magic. The paper entitled "Efficient and accurate EAP imaging from multi-shell dMRI with Micro-Structure adaptive convolution kernels and dual Fourier Integral Transforms (MiSFIT)" has been accepted in Neuroimage. Great work about white matter directly from Antonio's gray matter. You can downloaded from [here]. Source code with examples available [here].
A new paper entitled Apparent propagator anisotropy from single‐shell diffusion MRI acquisitions has been published in Magnetic Resonance in Medicine. The work is written by members of the LPI (Santiago Aja-Fernández, Antonio Tristán-Vega) in collaboration with CUBRIC, University of Cardiff, UK (D.K. Jones). In the work, we propose a method to effectively calculate apparent Propagator Anisotropy (APA) from single shell diffusion MRI. The method avoids the calculation of the whole EAP by assuming the diffusion anisotropy is roughly independent from the radial direction. With such an assumption we achieve closed-form expressions for the measures using information from one single shell. At the same time, the closed forms provided make the method computationally efficient and robust.
A paper about the assessment of gray matter morphometry parameters in migraine patients, Gray Matter Structural Alterations in Chronic and Episodic Migraine: A Morphometric Magnetic Resonance Imaging Study, has been published in Pain Medicine. This article has been written by Álvaro Planchuelo-Gómez, Santiago Aja-Fernández and Rodrigo de Luis-García, in collaboration with the Headache Unit and the Department of Radiology of the Clinical Hospital of Valladolid. The findings of this research suggest that there are widespread gray matter alterations in migraine. Chronic migraine would be a distinct entity with respect to a high frequency episodic migraine and the surface area would be a proper biomarker to identify it. The results of this study suggest that the pattern of differences between healthy controls and episodic migraine patients is qualitatively different from that occurring between episodic and chronic migraine patients. The article is available here: https://doi.org/10.1093/pm/pnaa271