Members of the LPI, in collaboratation with the Headache Units of the Hospital Clínico Universitario de Valladolid and the Hospital Clínico San Carlos (Madrid), have characterized diverse phenotypes of headache attributed to COVID-19. A phenotype with migraine characteristics and another one with tension-type headache features were found. Moreover, a possible third "COVID-19 specific" phenotype was hypothesized, possibly related to anosmia. The full paper published in Frontiers in Neurology can be found here (Open Access): https://www.frontiersin.org/articles/10.3389/fneur.2020.583870/full
Laboratorio de Procesado de Imagen
(Image Processing Lab)
Campus Miguel Delibes s/n
Universidad de Valladolid
47011 Valladolid, Spain
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
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.