Alessandra Gallo 1, Antonio Tristán-Vega1,2, Ángel L Guerrero3,4,5, David García-Azorín5,6, Santiago Aja-Fernández1,2, Rodrigo de Luis García1,2, Álvaro Planchuelo-Gómez1,2
1Imaging Processing Laboratory, UNIVERSIDAD DE VALLADOLID, Valladolid, Spain
2LPI-BIVa, Health Research Institute of Valladolid (IBioVALL), Valladolid, Spain
3Headache Unit-Department of Neurology, Headache Unit-Department of Neurology, Hospital Clínico Universitario de Valladolid, Valladolid, Spain
4INCEVAL, INCEVAL, Health Research Institute of Valladolid (IBioVALL), Valladolid, Spain
5Department of Medicine, UNIVERSIDAD DE VALLADOLID, Valladolid, Spain
6Department of Neurology, Hospital Universitario Río Hortega, Valladolid, Spain
Presenting Author: Alessandra Gallo
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1. Huber E, Henriques RN, Owen JP, Rokem A, Yeatman JD. Applying microstructural models to understand the role of white matter in cognitive development. Dev Cogn Neurosci. 2019;36:100624. doi:10.1016/J.DCN.2019.100624 [doi]
2. Wei S, Quan Y, Li X, et al. Unveiling migraine subtype heterogeneity and risk loci: integrated genome-wide association study and single-cell transcriptomics discovery. J Headache Pain. 2025;26:185. doi:10.1186/s10194-025-02128-7 [doi]
3. Andreou AP, Edvinsson L. Mechanisms of migraine as a chronic evolutive condition. J Headache Pain. 2019;20(1):117. doi:10.1186/S10194-019-1066-0 [doi]
4. Aja-Fernández S, de Luis-García R, Afzali M, Molendowska M, Pieciak T, Tristán-Vega A. Micro-structure diffusion scalar measures from reduced MRI acquisitions. PLoS One. 2020;15(3):e0229526. doi:10.1371/journal.pone.0229526 [doi]
5. Martín-Martín C, Planchuelo-Gómez Á, Guerrero ÁL, García-Azorín D, Tristán-Vega A, de Luis-García R, et al. Viability of AMURA biomarkers from single-shell diffusion MRI in clinical studies. Front Neurosci. 2023;17:1106350. doi:10.3389/fnins.2023.1106350 [doi]
6. Tournier JD, Smith R, Raffelt D, Tabbara R, Dhollander T, Pietsch M, et al. MRtrix3: a fast, flexible and open software framework for medical image processing and visualisation. Neuroimage. 2019;202:116137. doi:10.1016/j.neuroimage.2019.116137 [doi]
7. Planchuelo-Gómez Á, García-Azorín D, Guerrero ÁL, Aja-Fernández S, Rodríguez M, De Luis-García R. White matter changes in chronic and episodic migraine: a diffusion tensor imaging study. J Headache Pain. 2020;21(1):1. doi:10.1186/S10194-019-1071-3 [doi]
8. Jenkinson M, Beckmann CF, Behrens TE, Woolrich MW, Smith SM. FSL. Neuroimage.
2012;62:782-790. doi:10.1016/j.neuroimage.2011.09.015 [doi]
9. Oishi K, Zilles K, Amunts K, et al. Human brain white matter atlas: identification and
assignment of commom anatomical structures in superficial white matter. Neuroimage.
2008;43(3):447-457. doi:10.1016/j.neuroimage.2008.07.009 [doi]
10. Smith SM, Jenkinson M, Johansen-Berg H, Rueckert D, Nichols TE, Mackay CE, et al. Tract-based spatial statistics: Voxelwise analysis of multi-subject diffusion data. Neuroimage. 2006;31(4):1487-1505. doi:10.1016/j.neuroimage.2006.02.024 [doi]
11. Akaike H. A New Look at the Statistical Model Identification. IEEE Trans Automat Contr. 1974;19(6):716-723. doi:10.1109/TAC.1974.1100705 [doi]
12. Torres-Ferrús M, Ursitti F, Alpuente-Ruiz A, Brunello F, Chiappino D, De Vries T, et al. From transformation to chronification of migraine: pathophysiological and clinical aspects. J Headache Pain. 2020;21(1):42. doi:10.1186/S10194-020-01111-8 [doi]
13. May A, Schulte LH. Chronic migraine: risk factors, mechanisms and treatment. Nat Rev Neurol. 2016;12(8):455-464. doi:10.1038/nrneurol.2016.93 [doi]
14. París G, Pieciak T, Aja-Fernández S, Tristán-Vega A. Efficient estimation of propagator anisotropy and non-Gaussianity in multishell diffusion MRI with micro-structure adaptive convolution kernels and dual Fourier integral transforms. Magn Reson Med. 2023;89(1):440-453. doi:10.1002/mrm.29435 [doi]
15. Charrad M, Ghazzali N, Boiteau V, Niknafs A. NbClust: An R Package for Determining the Relevant Number of Clusters in a Data Set. J Stat Softw. 2014;61(6):1-36. doi:10.18637/jss.v061.i06 [doi]