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Yasser Alemán-Gómez

Researcher at University of Lausanne

Publications -  65
Citations -  2278

Yasser Alemán-Gómez is an academic researcher from University of Lausanne. The author has contributed to research in topics: Medicine & Diffusion MRI. The author has an hindex of 18, co-authored 52 publications receiving 1920 citations. Previous affiliations of Yasser Alemán-Gómez include University Hospital of Lausanne & Charles III University of Madrid.

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Studying the human brain anatomical network via diffusion-weighted MRI and Graph Theory

TL;DR: In a vulnerability and betweenness centrality analysis, the most indispensable and critical anatomical areas were identified: putamens, precuneus, insulas, superior parietals and superior frontals, which suggest that even at the cost of losing in global anatomical efficiency, these structures were maintained through the evolutionary processes due to their important functions.
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Characterizing brain anatomical connections using diffusion weighted MRI and graph theory.

TL;DR: A new methodology based on Diffusion Weighted Magnetic Resonance Imaging (DW-MRI) and Graph Theory is presented for characterizing the anatomical connections between brain gray matter areas, showing that nervous fiber pathways between some regions of interest were reconstructed correctly.
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Model driven EEG/fMRI fusion of brain oscillations

TL;DR: For model driven fusion, a neural mass EEG/fMRI model coupled to a metabolic hemodynamic model is formulated, and it is shown that the Local Linearization (LL) method for integrating stochastic differential equations is appropriate for highly nonlinear dynamics.
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Surface area and cortical thickness descriptors reveal different attributes of the structural human brain networks.

TL;DR: The surface area is employed as a morphometric descriptor to study the concurrent changes between brain structures and to build binarized connectivity graphs and it is demonstrated that connectivity matrices obtained follow a small-world behavior for two different parcellations of the brain gray matter.
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White matter microstructure correlates of mathematical giftedness and intelligence quotient

TL;DR: Investigating the relationship between mathematical giftedness, intelligent quotient (IQ), and the microstructure of white matter tracts in a sample of math‐gifted adolescents and aged‐matched controls found IQ showed a significant positive correlation with FA, supporting the idea that efficient information transfer between hemispheres is crucial for higher intellectual capabilities.