News

Phenotyping of headache in COVID-19

[27 Jan 2021]

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

Multimodal analysis of MRI modalities in migraine

[12 Jan 2021]

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

MiSFIT: Efficient and accurate EAP imaging from multi-shell dMRI

[15 Dec 2020]

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].

Alternative Anisotropy Measure for diffusion MRI

[14 Dec 2020]

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.

Gray matter morphometry alterations in migraine

[23 Nov 2020]

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

LPI in ESMRMB 2020

[01 Nov 2020]

Alejandro Godino-Moya has recieved the Certificate of Merit Award in the ESMRMB 2020 Congress, held online between 30th september and 2nd October 2020, for his poster "Combination of AlignedSENSE and groupwise motion-compensated compressed sense for cardiac cine MRI reconstruction".

Prof. Carlos Alberola-López have also taken part in the Radiomics scientific session of the ESMRMB 2020 with a talk entitled "Synthetic Imaging for Quantitative MRI".

New dMRI methodology uncovers additional alterations in migraine

[10 Nov 2020]

AMURA (https://www.lpi.tel.uva.es/AMURA), the new tool developed by LPI members, has been used to compare diffusion measures in patients with episodic and chronic migraine and healthy controls using clinical routine diffusion MRI acquisition parameters. Using AMURA, additional statistically significant differences were found with respect to the diffusion tensor imaging (DTI) descriptors. This article demonstrates that AMURA can provide additional results with respect to DTI to uncover white matter alterations in migraine, even in suboptimal conditions for the tool with a single low b-value.
The new paper, entitled "Alternative Microstructural Measures to Complement Diffusion Tensor Imaging in Migraine Studies with Standard MRI Acquisition", has been published in Brain Sciences. The article is available here (Open Access): https://doi.org/10.3390/brainsci10100711

LPI research on COVID-19

[25 May 2020]

The first LPI article about the psychological impact of the COVID-19 confinement has been published. This article has been made in collaboration with the Department of Psychology of the University of Valladolid. The main finding was that students from Arts & Humanities and Social Sciences and Law areas showed higher psychological impact, especially compared to the students from the Engineering & Architecture field (click on the title of the article for more highlights). The article is freely available until 11 July in the following link: https://doi.org/10.1016/j.psychres.2020.113108

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