Beatriz Mateos

Hospital de Cruces

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Ibai Díez

Massachusetts General Hospital

Jesús M. Cortés

BioCruces Health research Institute

Sebastiano Stramaglia

Istituto Nazionale di Fisica Nucleare, Sezione di Bari

Iñaki Escudero

BioCruces Health research Institute

P. Bonifazi

BioCruces Health research Institute

A Cabrera

Loma Linda University

Daniele Marinazzo

Ghent University

Iñaki Escudero Martinez

Ernesto Sanz‐Arigita

Centre National de la Recherche Scientifique

J.J. Zarranz

Hospital de Cruces

Cooperative Institutions

Hospital de Cruces

BioCruces Health research Institute

University of the Basque Country

Osakidetza

Ikerbasque

Universidad Autónoma de Madrid

Instituto de Salud Carlos III

Universidad de Granada

University of Padua

Baylor College of Medicine

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Técnicas complementarias del diagnóstico neurológico

Neurología (2018)

Jorge Ignacio Angulo Barredo Koldo Berganzo A. Cabrera Imanol Lambarri San Martín Beatriz Mateos

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Vagus nerve stimulation therapy for treatment-resistant epilepsy: A 15-year experience at a single institution

Clinical Neurology and Neurosurgery (2015)

Lara Galbarriatu Iñigo Pomposo J. Aurrecoechea Ainhoa Marinas Marta Agundez

Vagus Nerve Stimulation

10.1016/j.clineuro.2015.06.023

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Citations (34)

Hypomagnesemia: a Treatable Cause of Ataxia with Cerebellar Edema

The Cerebellum (2017)

Idoia Rouco Axpe Javier Almeida Velasco Jose Guillermo Barreiro Garcia José Manuel Urbizu Gallardo Beatriz Mateos

Cerebellar ataxia

10.1007/s12311-017-0873-6

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Lagged and instantaneous dynamical influences related to brain structural connectivity

Frontiers in Psychology (2015)

C. Alonso‐Montes Ibai Díez Lakhdar Remaki Iñaki Escudero Beatriz Mateos

Contemporary neuroimaging methods can shed light on the basis of human neural and cognitive specializations, with important implications for neuroscience and medicine. Indeed, different MRI acquisitions provide different brain networks at the macroscale; whilst diffusion-weighted MRI (dMRI) provides a structural connectivity (SC) coincident with the bundles of parallel fibers between brain areas, functional MRI (fMRI) accounts for the variations in the blood-oxygenation-level-dependent T2(*) signal, providing functional connectivity (FC). Understanding the precise relation between FC and SC, that is, between brain dynamics and structure, is still a challenge for neuroscience. To investigate this problem, we acquired data at rest and built the corresponding SC (with matrix elements corresponding to the fiber number between brain areas) to be compared with FC connectivity matrices obtained by three different methods: directed dependencies by an exploratory version of structural equation modeling (eSEM), linear correlations (C) and partial correlations (PC). We also considered the possibility of using lagged correlations in time series; in particular, we compared a lagged version of eSEM and Granger causality (GC). Our results were two-fold: firstly, eSEM performance in correlating with SC was comparable to those obtained from C and PC, but eSEM (not C, nor PC) provides information about directionality of the functional interactions. Second, interactions on a time scale much smaller than the sampling time, captured by instantaneous connectivity methods, are much more related to SC than slow directed influences captured by the lagged analysis. Indeed the performance in correlating with SC was much worse for GC and for the lagged version of eSEM. We expect these results to supply further insights to the interplay between SC and functional patterns, an important issue in the study of brain physiology and function.

10.3389/fpsyg.2015.01024

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Citations (21)

Hirayama disease: Is surgery an option?

Neurología (English Edition) (2015)

Marta Agundez Idoia Rouco José Eulalio Bárcena Beatriz Mateos Jennifer Barredo

10.1016/j.nrleng.2013.05.006

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Citations (33)

Maternal deprivation induces a rapid decline in circulating leptin levels and sexually dimorphic modifications in hypothalamic trophic factors and cell turnover

Hormones and Behavior (2010)

María‐Paz Viveros Francisca Díaz Beatriz Mateos Noé Rodríguez‐Rodríguez Julie A. Chowen

Sexual dimorphism

Corticosterone

10.1016/j.yhbeh.2010.01.009

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Dificultad en el diagnóstico de un glioblastoma de presentación inhabitual

Neurología (2020)

I. Rouco Axpe Beatriz Mateos Laura Zaldumbide E. Fernández-Lomana Idiondo

10.1016/j.nrl.2020.04.016

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Information flow between resting state networks

arXiv (Cornell University) (2015)

Ibai Díez Asier Erramuzpe Iñaki Escudero Beatriz Mateos A Cabrera

The resting brain dynamics self-organizes into a finite number of correlated patterns known as resting state networks (RSNs). It is well known that techniques like independent component analysis can separate the brain activity at rest to provide such RSNs, but the specific pattern of interaction between RSNs is not yet fully understood. To this aim, we propose here a novel method to compute the information flow (IF) between different RSNs from resting state magnetic resonance imaging. After haemodynamic response function blind deconvolution of all voxel signals, and under the hypothesis that RSNs define regions of interest, our method first uses principal component analysis to reduce dimensionality in each RSN to next compute IF (estimated here in terms of Transfer Entropy) between the different RSNs by systematically increasing k (the number of principal components used in the calculation). When k = 1, this method is equivalent to computing IF using the average of all voxel activities in each RSN. For k greater than one our method calculates the k-multivariate IF between the different RSNs. We find that the average IF among RSNs is dimension-dependent, increasing from k =1 (i.e., the average voxels activity) up to a maximum occurring at k =5 to finally decay to zero for k greater than 10. This suggests that a small number of components (close to 5) is sufficient to describe the IF pattern between RSNs. Our method - addressing differences in IF between RSNs for any generic data - can be used for group comparison in health or disease. To illustrate this, we have calculated the interRSNs IF in a dataset of Alzheimer's Disease (AD) to find that the most significant differences between AD and controls occurred for k =2, in addition to AD showing increased IF w.r.t. controls.

10.48550/arxiv.1505.03560

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La resonancia magnética “aliado en el diagnóstico de los trastornos benignos de la presión del líquido cefalorraquídeo (LCR)”.

A. Garcia Etxebarria Iñaki Escudero Martinez Beatriz Mateos Maider Bringas Veiga Nerea Hormaza Aguirre

Poster: SERAM 2014 / S-0350 / La resonancia magnetica “aliado en el diagnostico de los trastornos benignos de la presion del liquido cefalorraquideo (LCR)”. by: A. Garcia Etxebarria1, I. Escudero Martinez2, B. Mateos Goni2, M. Bringas Veiga3, N. Hormaza Aguirre3, O. Rodriguez San Vicente4; 1Amorebieta /ES, 2Bilbao/ES, 3Baracaldo/ES, 4Barakaldo/ES

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Glioblastoma with an unusual presentation: a diagnostic challenge

Neurología (English Edition) (2021)

I. Rouco Axpe Beatriz Mateos Laura Zaldumbide E. Fernández-Lomana Idiondo

Presentation (obstetrics)

10.1016/j.nrleng.2020.04.020

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