The International Day of Women and Girls in Science, celebrated on 11 February, is an opportunity to promote full and equal access to science for women and girls. The challenge is getting more women working in STEM (Science, Technology, Engineering and Mathematics). Diversity in research brings in fresh perspectives, talent and creativity.

This Day is a reminder that women and girls play a critical role in science and technology communities and that their participation should be strengthened.

LPI adheres to this initiative and, especially today, highlights the work of its women researchers.

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

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

This year we had to have our Christmas gathering via Webex. Let us hope next year we meet in a real dinner.

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].