Mario Chávez
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View article: Cardiac-vagal rhythm echoes on the heartbeat’s mechanosensory imprint in the brain
Cardiac-vagal rhythm echoes on the heartbeat’s mechanosensory imprint in the brain Open
The heart, a highly reactive and innervated organ, plays a crucial role in brain-viscera communications. Recent research has highlighted the role of mechanosensation in the brain, where ion channels in neurons’ membranes respond to heartbe…
View article: Correction: Low-dimensional controllability of brain networks
Correction: Low-dimensional controllability of brain networks Open
[This corrects the article DOI: 10.1371/journal.pcbi.1012691.].
View article: Hyperbolic embedding of multilayer networks
Hyperbolic embedding of multilayer networks Open
Multilayer networks offer a powerful framework for modeling complex systems across diverse domains, effectively capturing multiple types of connections and interdependent subsystems commonly found in real-world scenarios. To analyze these …
View article: Ordinal Spectrum: Mapping Ordinal Patterns into Frequency Domain
Ordinal Spectrum: Mapping Ordinal Patterns into Frequency Domain Open
Classical spectral analysis characterizes linear systems effectively but often fails to reveal the nonlinear temporal structure of chaotic dynamics. We introduce the ordinal spectrum, a frequency-domain characterization derived from the or…
View article: Incidence, mortality, and management of status epilepticus from 2012 to 2022: An 11‐year nationwide study
Incidence, mortality, and management of status epilepticus from 2012 to 2022: An 11‐year nationwide study Open
Objective Recent data on status epilepticus (SE) incidence and mortality remain limited, despite the 2015 revision of its definition by the International League Against Epilepsy. The impact of the COVID‐19 pandemic also remains unclear. We…
View article: Standard complete blood count to predict long‐term outcomes in febrile infection–related epilepsy syndrome (FIRES): A multicenter study
Standard complete blood count to predict long‐term outcomes in febrile infection–related epilepsy syndrome (FIRES): A multicenter study Open
Objective We investigated whether complete blood count (CBC) analyses during intensive care unit stay could predict 12‐month outcomes in patients with cryptogenic febrile infection–related epilepsy syndrome (FIRES), a subset of new‐onset r…
View article: Geometric representations of brain networks can predict the surgery outcome in temporal lobe epilepsy
Geometric representations of brain networks can predict the surgery outcome in temporal lobe epilepsy Open
Epilepsy surgery, particularly for temporal lobe epilepsy (TLE), remains a vital treatment option for patients with drug-resistant seizures. However, accurately predicting surgical outcomes remains a significant challenge. This study intro…
View article: Neuronal avalanches as a predictive biomarker of BCI performance: towards a tool to guide tailored training program
Neuronal avalanches as a predictive biomarker of BCI performance: towards a tool to guide tailored training program Open
Brain-Computer Interfaces (BCIs) based on motor imagery (MI) hold promise for restoring control in individuals with motor impairments. However, up to 30% of users remain unable to effectively use BCIs-a phenomenon termed ''BCI inefficiency…
View article: Neuronal avalanches as a predictive biomarker for guiding tailored BCI training programs
Neuronal avalanches as a predictive biomarker for guiding tailored BCI training programs Open
Motor imagery-based Brain-Computer Interfaces (BCIs) restore control in persons with motor impairments, but up to 30% of users struggle—a phenomenon known as “BCI inefficiency”. This study tackles a key limitation of current protocol: the …
View article: Hyperbolic embedding of brain networks as a tool for epileptic seizures forecasting
Hyperbolic embedding of brain networks as a tool for epileptic seizures forecasting Open
The evidence indicates that intracranial electroencephalographic connectivity, as estimated from daily resting state recordings from epileptic patients, may be capable of identifying preictal states. In this study, we employed hyperbolic e…
View article: Hyperbolic embedding of brain networks as a tool for epileptic seizures forecasting
Hyperbolic embedding of brain networks as a tool for epileptic seizures forecasting Open
The evidence indicates that intracranial electroencephalographic connectivity, as estimated from daily resting state recordings from epileptic patients, may be capable of identifying preictal states. In this study, we employed hyperbolic e…
View article: Hyperbolic embedding of multilayer networks
Hyperbolic embedding of multilayer networks Open
Multilayer networks offer a powerful framework for modeling complex systems across diverse domains, effectively capturing multiple types of connections and interdependent subsystems commonly found in real world scenarios. To analyze these …
View article: Recurrence and Mortality After a First Status Epilepticus
Recurrence and Mortality After a First Status Epilepticus Open
Our study highlights a high risk of recurrence or death within 3 years after a first SE. We identified factors associated with increased risk of both recurrence and mortality and factors specifically associated with recurrence or mortality…
View article: Identification of Distinct Biological Groups of Patients With Cryptogenic NORSE via Inflammatory Profiling
Identification of Distinct Biological Groups of Patients With Cryptogenic NORSE via Inflammatory Profiling Open
The identification of distinct inflammatory subgroups in c-NORSE suggests that variations in the underlying immune mechanisms contribute to differential treatment responses. These findings underscore the importance of personalized therapeu…
View article: Low-dimensional representation of brain networks for seizure risk forecasting
Low-dimensional representation of brain networks for seizure risk forecasting Open
Identifying preictal states -- periods during which seizures are more likely to occur -- remains a central challenge in clinical computational neuroscience. In this study, we introduce a novel framework that embeds functional brain connect…
View article: Hyperbolic embedding of brain networks detects regions disrupted by neurodegeneration in Alzheimer's disease
Hyperbolic embedding of brain networks detects regions disrupted by neurodegeneration in Alzheimer's disease Open
Graph-theoretical methods have proven valuable for investigating alterations in both anatomical and functional brain connectivity networks during Alzheimer's disease (AD). Recent studies suggest that representing brain networks in a suitab…
View article: A method for dyadic cardiac rhythmicity analysis: Preliminary evidence on bilateral interactions in fetal–maternal cardiac dynamics
A method for dyadic cardiac rhythmicity analysis: Preliminary evidence on bilateral interactions in fetal–maternal cardiac dynamics Open
Cardiac activity responds dynamically to metabolic demands and neural regulation. However, little is known about this process during pregnancy. Reports show occasional fetal–maternal heart rate couplings, but it has remained unclear whethe…
View article: Modelling the time‐resolved modulations of cardiac activity in rats: A study on pharmacological autonomic stimulation
Modelling the time‐resolved modulations of cardiac activity in rats: A study on pharmacological autonomic stimulation Open
Assessing cardiac dynamics over time is essential for understanding cardiovascular health and its parallel patterns of activity with the brain. We present a methodology to estimate the time‐resolved sympathetic and parasympathetic modulati…
View article: Low-dimensional controllability of brain networks
Low-dimensional controllability of brain networks Open
Identifying the driver nodes of a network has crucial implications in biological systems from unveiling causal interactions to informing effective intervention strategies. Despite recent advances in network control theory, results remain i…
View article: Measures and Models of Brain-Heart Interactions
Measures and Models of Brain-Heart Interactions Open
Exploring brain-heart interactions within various paradigms, including affective computing, human-computer interfaces, and sensorimotor evaluation, has demonstrated enormous potential in biomarker development and neuroscientific research. …
View article: Robust and time-resolved estimation of cardiac sympathetic and parasympathetic indices
Robust and time-resolved estimation of cardiac sympathetic and parasympathetic indices Open
The time-resolved analysis of heart rate (HR) and heart rate variability (HRV) is crucial for the evaluation of the dynamic changes of autonomic activity under different clinical and behavioural conditions. Standard HRV analysis is perform…
View article: Geometric representations of brain networks can predict the surgery outcome in temporal lobe epilepsy
Geometric representations of brain networks can predict the surgery outcome in temporal lobe epilepsy Open
Epilepsy surgery, particularly for temporal lobe epilepsy (TLE), remains a vital treatment option for patients with drug-resistant seizures. However, accurately predicting surgical outcomes remains a significant challenge. This study intro…
View article: Freezing of gait in Parkinson’s disease increases sympathetic and parasympathetic indices
Freezing of gait in Parkinson’s disease increases sympathetic and parasympathetic indices Open
The assessment of autonomic activity in various clinical contexts relies on the analysis of heart rate variability (HRV). Standard HRV analyses often fall short in effectively disentangling sympathetic and parasympathetic activations. Rece…
View article: Tracking the physiological responses in sleep apnea using robust cardiac sympathetic activity estimation
Tracking the physiological responses in sleep apnea using robust cardiac sympathetic activity estimation Open
International audience
View article: NEURONAL AVALANCHES FOR EEG-BASED MOTOR IMAGERY BCI
NEURONAL AVALANCHES FOR EEG-BASED MOTOR IMAGERY BCI Open
General Proceeding DOI: https://doi.org/10.3217/978-3-85125-682-6Personal paper DOI: https://doi.org/10.3217/978-3-99161-014-4-018 (not yet activated)
View article: Measures and Models of Brain-Heart Interactions
Measures and Models of Brain-Heart Interactions Open
The exploration of brain-heart interactions within various paradigms, including affective computing, human-computer interfaces, and sensorimotor evaluation, stands as a significant milestone in biomarker development and neuroscientific res…