Jorge Bosch‐Bayard
A5115599174- Functional Brain Connectivity Studies
- Neural dynamics and brain function
- EEG and Brain-Computer Interfaces
- Advanced MRI Techniques and Applications
- Health, Environment, Cognitive Aging
- Complex Network Analysis Techniques
- Stress Responses and Cortisol
- Birth, Development, and Health
- Neonatal and fetal brain pathology
- Neural and Behavioral Psychology Studies
- Sex and Gender in Healthcare
- Gaussian Processes and Bayesian Inference
- Child and Adolescent Psychosocial and Emotional Development
- Brain Tumor Detection and Classification
- Face recognition and analysis
- Advanced Neuroimaging Techniques and Applications
- Complex Systems and Time Series Analysis
- Blind Source Separation Techniques
- Cognitive Abilities and Testing
- Mental Health Research Topics
- Face Recognition and Perception
- Electrochemical Analysis and Applications
- Visual Attention and Saliency Detection
- Child Abuse and Trauma
Universidad Autónoma de Madrid
2025
Montreal Neurological Institute and Hospital
2020-2024
McGill University
2020-2024
University of Electronic Science and Technology of China
2020-2022
Cuban Neuroscience Center
2005-2020
Universidad Nacional Autónoma de México
2017-2018
National Institute for Physiological Sciences
2014
Over the past few decades, neuroimaging has become a ubiquitous tool in basic research and clinical studies of human brain. However, no reference standards currently exist to quantify individual differences metrics over time, contrast growth charts for anthropometric traits such as height weight
Functional connectivity is of central importance in understanding brain function. For this purpose, multiple time series electric cortical activity can be used for assessing the properties a network: strength, directionality, and spectral characteristics (i.e. which oscillations are preferentially transmitted) connections. The partial directed coherence (PDC) Baccala Sameshima (2001) widely method problem. three aims study are: (1) To show that PDC misrepresent frequency response under...
Abstract During the past decade, cognitive neuroscience has been calling for population diversity to address challenge of validity and generalizability, ushering in a new era neuroscience. The developing Chinese Color Nest Project (devCCNP, 2013–2022), first ten-year stage lifespan CCNP (2013–2032), is two-stages project focusing on brain-mind development. aims create share large-scale, longitudinal multimodal dataset typically children adolescents (ages 6.0–17.9 at enrolment) population....
Abstract Over the past few decades, neuroimaging has become a ubiquitous tool in basic research and clinical studies of human brain. However, no reference standards currently exist to quantify individual differences metrics over time, contrast growth charts for anthropometric traits such as height weight 1 . Here, we built an interactive resource benchmark brain morphology, www.brainchart.io , derived from any current or future sample magnetic resonance imaging (MRI) data. With goal basing...
We present CiftiStorm, an electrophysiological source imaging (ESI) pipeline incorporating recently developed methods to improve forward and inverse solutions. The CiftiStorm produces Human Connectome Project (HCP) megconnectome-compliant outputs from dataset inputs with varying degrees of spatial resolution. input data can range low-sensor-density electroencephalogram (EEG) or magnetoencephalogram (MEG) recordings without structural magnetic resonance (sMRI) high-density EEG/MEG HCP...
The problem of interest here is the study brain functional and effective connectivity based on non-invasive EEG-MEG inverse solution time series. These signals generally have low spatial resolution, such that an estimated signal at any one site instantaneous linear mixture true, actual, unobserved across all cortical sites. False can result from analysis these low-resolution signals. Recent efforts toward "unmixing" been developed, under name "leakage correction". One recent noteworthy...
Due to its low resolution, any EEG inverse solution provides a source estimate at each voxel that is mixture of the true values over all voxels brain. This mixing effect usually causes notable distortion in estimates connectivity based on solutions. To lessen this shortcoming, an unmixing approach introduced for solutions piecewise approximation unknown by means brain segmentation formed specified regions (ROIs). The general and flexible enough be applied with family ROIs, including point,...
A problem of great interest in real world systems, where multiple time series measurements are available, is the estimation intra-system causal relations. For instance, electric cortical signals used for studying functional connectivity between brain areas, their directionality, direct or indirect nature connections, and spectral characteristics (e.g. which oscillations preferentially transmitted). The earliest measure causality was Akaike's (1968) seminal work on noise contribution ratio,...
Simplistic estimation of neural connectivity in MEEG sensor space is impossible due to volume conduction. The only viable alternative carry out source space. Among the neuroscience community this claimed be or misleading Leakage: linear mixing reconstructed sources. To address problematic we propose a novel solution method that caulks Leakage activity and estimates: BC-VARETA. It based on joint frequency domain representation time series. achieve this, go beyond current methods assume fixed...
Abstract Background The Global Brain Consortium https://globalbrainconsortium.org/ promotes the goals of open science and serves as a clearinghouse to interface synergistically with other initiatives. Method Two interacting projects are interest here: 1) Harmonized Multinational quantitative EEG norms (HarMNqEEG) project provides data software ( www.biorxiv.org/content/10.1101/2022.01.12.476128v1 ) for first batch‐free Developmental Equations obtained from 1564 cross‐spectral 9 countries, 12...
The analysis of time series obtained by functional magnetic resonance imaging (fMRI) may be approached fitting predictive parametric models, such as nearest-neighbor autoregressive models with exogeneous input (NNARX). As a part the modeling procedure, it is possible to apply instantaneous linear transformations data. Spatial smoothing, common preprocessing step, interpreted transformation. parameters constrained, that they provide response behavior corresponds canonical haemodynamic...
Abstract The Cuban Human Brain Mapping Project (CHBMP) repository is an open multimodal neuroimaging and cognitive dataset from 282 healthy participants (31.9 ± 9.3 years, age range 18–68 years). This was acquired 2004 to 2008 as a subset of larger stratified random sample 2,019 La Lisa municipality in Habana, Cuba. exclusion included presence disease or brain dysfunctions. information made available for all comprises: high-density (64-120 channels) resting state electroencephalograms (EEG),...
1. Abstract What is the role of each node in a system many interconnected nodes? This can be quantified by comparing dynamics nodes intact system, with their modified edited where one deleted. In detail, spectra are calculated from causal multivariate autoregressive model for system. Next, without re-estimation, deleted and at all other re-calculated. The change to quantifies node, giving measure its Granger-causal effects (CFX) on A generalization this novel available networks (i.e. groups...