Raúl Rodríguez‐Cruces
A5029059874- Functional Brain Connectivity Studies
- Advanced Neuroimaging Techniques and Applications
- Advanced MRI Techniques and Applications
- Neural dynamics and brain function
- Epilepsy research and treatment
- Neuroscience and Neuropharmacology Research
- EEG and Brain-Computer Interfaces
- Fetal and Pediatric Neurological Disorders
- Birth, Development, and Health
- Memory and Neural Mechanisms
- Cell Image Analysis Techniques
- Long-Term Effects of COVID-19
- Mind wandering and attention
- COVID-19 and Mental Health
- Hearing Loss and Rehabilitation
- Infant Development and Preterm Care
- Neuroinflammation and Neurodegeneration Mechanisms
- Health, Environment, Cognitive Aging
- Neurological disorders and treatments
- Neuroscience and Neural Engineering
- Diet and metabolism studies
- Identity, Memory, and Therapy
- Sleep and Wakefulness Research
- Planarian Biology and Electrostimulation
- Autism Spectrum Disorder Research
Montreal Neurological Institute and Hospital
2020-2025
McGill University
2020-2025
Universidad Nacional Autónoma de México
2015-2024
Institute of Neurobiology
2024
University of British Columbia
2024
Montreal Children's Hospital
2024
McGill Genome Centre
2024
King's College London
2021
University Hospital Bonn
2021
Autonomous University of Queretaro
2017-2020
Progressive functional decline in the epilepsies is largely unexplained. We formed ENIGMA-Epilepsy consortium to understand factors that influence brain measures epilepsy, pooling data from 24 research centres 14 countries across Europe, North and South America, Asia, Australia. Structural were extracted MRI scans 2149 individuals with divided into four epilepsy subgroups including idiopathic generalized (n =367), mesial temporal lobe hippocampal sclerosis (MTLE; left, n = 415; right, 339),...
The epilepsies are commonly accompanied by widespread abnormalities in cerebral white matter. ENIGMA-Epilepsy is a large quantitative brain imaging consortium, aggregating data to investigate patterns of neuroimaging common epilepsy syndromes, including temporal lobe epilepsy, extratemporal and genetic generalized epilepsy. Our goal was rank the most robust matter microstructural differences across within syndromes multicentre sample adult patients. Diffusion-weighted MRI were analysed from...
Epilepsy is increasingly conceptualized as a network disorder. In this cross-sectional mega-analysis, we integrated neuroimaging and connectome analysis to identify associations with atrophy patterns in 1021 adults epilepsy compared 1564 healthy controls from 19 international sites. temporal lobe epilepsy, areas of colocalized highly interconnected cortical hub regions, whereas idiopathic generalized showed preferential subcortical involvement. These morphological abnormalities were anchored...
Analysis and interpretation of neuroimaging datasets has become a multidisciplinary endeavor, relying not only on statistical methods, but increasingly associations with respect to other brain-derived features such as gene expression, histological data, functional well cognitive architectures. Here, we introduce BrainStat - toolbox for (i) univariate multivariate linear models in volumetric surface-based brain imaging datasets, (ii) multidomain feature association results spatial maps...
Multimodal magnetic resonance imaging (MRI) has accelerated human neuroscience by fostering the analysis of brain microstructure, geometry, function, and connectivity across multiple scales in living brains. The richness complexity multimodal neuroimaging, however, demands processing methods to integrate information modalities consolidate findings different spatial scales. Here, we present micapipe, an open pipeline for MRI datasets. Based on BIDS-conform input data, micapipe can generate i)...
Multimodal neuroimaging grants a powerful window into the structure and function of human brain at multiple scales. Recent methodological conceptual advances have enabled investigations interplay between large-scale spatial trends (also referred to as gradients) in microstructure connectivity, offering an integrative framework study multiscale organization. Here, we share multimodal MRI dataset for Microstructure-Informed Connectomics (MICA-MICs) acquired 50 healthy adults (23 women; 29.54 ±...
Abstract The default mode network (DMN) is implicated in many aspects of complex thought and behavior. Here, we leverage postmortem histology vivo neuroimaging to characterize the anatomy DMN better understand its role information processing cortical communication. Our results show that cytoarchitecturally heterogenous, containing cytoarchitectural types are variably specialized for unimodal, heteromodal memory-related processing. Studying diffusion-based structural connectivity combination...
The vast net of fibres within and underneath the cortex is optimised to support convergence different levels brain organisation. Here, we propose a novel coordinate system human based on an advanced model its connectivity. Our approach inspired by seminal, but so far largely neglected models cortico-cortical wiring established postmortem anatomical studies capitalises cutting-edge in vivo neuroimaging machine learning. new expands currently prevailing diffusion magnetic resonance imaging...
Human cognition is dynamic, alternating over time between externally-focused states and more abstract, often self-generated, patterns of thought. Although cognitive neuroscience has documented how networks anchor particular modes brain function, mechanisms that describe transitions distinct functional remain poorly understood. Here, we examined time-varying changes in function emerge within the constraints imposed by macroscale structural network organization. Studying a large cohort healthy...
Adolescence is a critical time for the continued maturation of brain networks. Here, we assessed structural connectome development in large longitudinal sample ranging from childhood to young adulthood. By projecting high-dimensional connectomes into compact manifold spaces, identified marked expansion connectomes, with strongest effects transmodal regions during adolescence. Findings reflected increased within-module connectivity together segregation, indicating increasing differentiation...
Temporal lobe epilepsy (TLE) is known to affect large-scale structural networks and cognitive function in multiple domains. The study of complex relations between network organization cognition requires comprehensive analytical methods a shift towards multivariate techniques. Here, we sought identify multidimensional associations performance topology TLE.We studied 34 drug-resistant adult TLE patients 24 age- sex-matched healthy controls. Participants underwent neurocognitive battery...
Abstract Epilepsy is associated with genetic risk factors and cortico-subcortical network alterations, but associations between neurobiological mechanisms macroscale connectomics remain unclear. This multisite ENIGMA-Epilepsy study examined whole-brain structural covariance networks in patients epilepsy related findings to postmortem gene expression patterns. Brain analysis included 578 adults temporal lobe (TLE), 288 idiopathic generalized (IGE), 1328 healthy controls from 18 centres...
While reading, our mind can wander to unrelated autobiographical information, creating a perceptually decoupled state detrimental narrative comprehension. To understand how this mind-wandering emerges, we asked whether retrieving content necessitates functional disengagement from visual input. In Experiment 1, brain activity was recorded using magnetic resonance imaging (fMRI) in an experimental situation mimicking naturally occurring mind-wandering, allowing us precisely delineate neural...
Temporal lobe epilepsy (TLE), one of the most common pharmaco-resistant epilepsies, is associated with pathology paralimbic brain regions, particularly in mesiotemporal lobe. Cognitive dysfunction TLE frequent, and affects episodic memory. Crucially, these difficulties challenge quality life patients, sometimes more than seizures, underscoring need to assess neural processes cognitive improve patient management. Our work harnessed a novel conceptual analytical approach spatial gradients...
The amygdala is a subcortical region in the mesiotemporal lobe that plays key role emotional and sensory functions. Conventional neuroimaging experiments treat this structure as single, uniform entity, but there ample histological evidence for subregional heterogeneity microstructure function. current study characterized structure-function coupling human amygdala, integrating post mortem histology vivo MRI at ultrahigh fields. Core to our work was novel neuroinformatics approach leveraged...
Multimodal neuroimaging, in particular magnetic resonance imaging (MRI), allows for non-invasive examination of human brain structure and function across multiple scales. Precision neuroimaging builds upon this foundation, enabling the mapping structure, function, connectivity patterns with high fidelity single individuals. Highfield MRI, operating at field strengths 7 Tesla (T) or higher, increases signal-to-noise ratio opens up possibilities gains spatial resolution. Here, we share a...
Artificial intelligence has recently gained popularity across different medical fields to aid in the detection of diseases based on pathology samples or imaging findings. Brain magnetic resonance (MRI) is a key assessment tool for patients with temporal lobe epilepsy (TLE). The role machine learning and artificial increase brain abnormalities TLE remains inconclusive. We used support vector (SV) deep (DL) models region interest (ROI-based) structural (n = 336) diffusion 863) MRI data from...
Abstract Background Higher-order cognition is hypothesized to be implemented via distributed cortical networks that are linked long-range connections. However, it unknown how computational advantages of connections reflect microstructure and microcircuitry. Methods We investigated this question by (i) profiling connectivity using resting-state functional magnetic resonance imaging (MRI) cortico-cortical geodesic distance mapping, (ii) assessing local brain microarchitecture, (iii) examining...
Abstract Objective Temporal lobe epilepsy (TLE) is the most common pharmacoresistant in adults. Here we profiled local neural function TLE vivo , building on prior evidence that has identified widespread structural alterations. Using resting‐state functional magnetic resonance imaging (rs‐fMRI), mapped whole‐brain intrinsic timescales (INT), which reflect temporal hierarchies of processing. Parallel analysis and diffusion MRI data examined associations with TLE‐related compromise. Finally,...
Abstract Structural neuroimaging data have been used to compute an estimate of the biological age brain (brain‐age) which has associated with other biologically and behaviorally meaningful measures development aging. The ongoing research interest in brain‐age highlighted need for robust publicly available models pre‐trained on from large samples healthy individuals. To address this we previously released a developmental model. Here expand work develop, empirically validate, disseminate model...