Publications by Erick Jorge Canales Rodriguez

Impact of Bipolar Disorder Increased White Matter Hyperintensities on White Matter Connectivity

Background: Individuals with bipolar disorder have been reported to have increased white matter hyperintensities (WMH) in fluid-attenuated inversion recovery (FLAIR) magnetic resonance scans. However, it is unknown whether this WMH increase has any impact ...

WILEY2025

Sulcal Pits as Potential Markers of Early Sex-related Human Brain Differences in Healthy Adults

Erick Jorge Canales Rodriguez

BMC2025

Brain microstructure alterations in subjective cognitive decline: a multi-component T2 relaxometry study

Erick Jorge Canales Rodriguez

Previous research has revealed patterns of brain atrophy in subjective cognitive decline, a potential preclinical stage of Alzheimer's disease. However, the involvement of myelin content and microstructural alterations in subjective cognitive decline has n ...

OXFORD UNIV PRESS2025

A diffusion MRI model for random walks confined on cylindrical surfaces: towards non-invasive quantification of myelin sheath radius

Jean-Philippe Thiran, Erick Jorge Canales Rodriguez, Elda Fischi Gomez

Introduction Quantifying the myelin sheath radius of myelinated axons in vivo is important for understanding, diagnosing, and monitoring various neurological disorders. Despite advancements in diffusion MRI (dMRI) microstructure techniques, there are curre ...

FRONTIERS MEDIA SA2025

Pore size estimation in axon-mimicking microfibers with diffusion-relaxation MRI

Jean-Philippe Thiran, Erick Jorge Canales Rodriguez, Muhamed Barakovic, Marco Pizzolato, Tim Bjørn Dyrby

Purpose: This study aims to evaluate two distinct approaches for fiber radius estimation using diffusion-relaxation MRI data acquired in biomimetic microfiber phantoms that mimic hollow axons. The methods considered are the spherical mean power-law approac ...

Wiley2024

NRN1 epistasis with BDNF and CACNA1C: mediation effects on symptom severity through neuroanatomical changes in schizophrenia

Erick Jorge Canales Rodriguez

The expression of Neuritin-1 (NRN1), a neurotrophic factor crucial for neurodevelopment and synaptic plasticity, is enhanced by the Brain Derived Neurotrophic Factor (BDNF). Although the receptor of NRN1 remains unclear, it is suggested that NRN1's activat ...

Heidelberg2024

Spatial Prior Informed Constrained Spherical Deconvolution in Super Resolution Variation

Jean-Philippe Thiran, Erick Jorge Canales Rodriguez, Gabriel Girard, Juan Luis Villarreal Haro

Constrained Spherical Deconvolution (CSD) is a state-of-the-art technique for unraveling complex fiber configurations of white matter from diffusion MRI data. Despite its ability to identify multiple fiber orientations, it faces difficulties in resolving f ...

Springer Nature2024

Comparing Steam and PGSE Diffusion MRI Signal of RAT Lymph Nodes Using In-Silico Simulations

Jean-Philippe Thiran, Erick Jorge Canales Rodriguez, Gabriel Girard, Elda Fischi Gomez, Juan Luis Villarreal Haro, Rémy Marc M Gardier

Diffusion magnetic resonance imaging (dMRI) has demonstrated great capabilities to quantify tissue microstructure using biophysical diffusion models. Over the years, various gradient sequences have been proposed to provide sensitivity and specificity to va ...

IEEE Computer Society2024

Processing speed mediates the relationship between DDR1 and psychosocial functioning in euthymic patients with bipolar disorder presenting psychotic symptoms

Erick Jorge Canales Rodriguez

The DDR1 locus is associated with the diagnosis of schizophrenia and with processing speed in patients with schizophrenia and first-episode psychosis. Here, we investigated whether DDR1 variants are associated with bipolar disorder (BD) features. First, we ...

2024

In-Silico Trained AI for Enhanced T2Spectrum Imaging and Myelin Water Fraction Mapping in Preclinical 7T MRI

Jean-Philippe Thiran, Erick Jorge Canales Rodriguez, Thomas Yu

This study introduces a Machine Learning (ML) approach for estimating the T2 spectrum and myelin water fraction (MWF) using multi-echo T2 (MET2) data from preclinical 7T Magnetic Resonance Imaging (MRI) scanners. ML methods have shown promise in MWF estima ...

IEEE Computer Society2024