A5009072305- Neural dynamics and brain function
- Functional Brain Connectivity Studies
- EEG and Brain-Computer Interfaces
- Health Literacy and Information Accessibility
- Neuroscience and Neural Engineering
- Neural Networks and Applications
- Global Cancer Incidence and Screening
- Advanced Memory and Neural Computing
- stochastic dynamics and bifurcation
- Patient-Provider Communication in Healthcare
- Child Nutrition and Feeding Issues
- Mental Health Research Topics
- Tryptophan and brain disorders
- Mental Health via Writing
- Neonatal and fetal brain pathology
- Childhood Cancer Survivors' Quality of Life
- Autism Spectrum Disorder Research
- Nonlinear Dynamics and Pattern Formation
- COVID-19 and Mental Health
- Photoreceptor and optogenetics research
- Medication Adherence and Compliance
- Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- Attention Deficit Hyperactivity Disorder
Institut de Neurosciences des Systèmes
2022-2025
Aix-Marseille Université
2020-2025
Assistance Publique Hôpitaux de Marseille
2020-2025
Inserm
2020-2024
Hôpital Sainte-Marguerite
2024
Economic & Social Sciences, Health Systems & Medical Informatics
2020-2023
Institut de Recherche pour le Développement
2020-2023
Fondation FondaMental
2021
ABSTRACT Virtual brain twins are personalized, generative and adaptive models based on data from an individual’s for scientific clinical use. After a description of the key elements virtual twins, we present standard model personalized whole-brain network models. The personalization is accomplished using subject’s imaging by three means: (1) assemble cortical subcortical areas in subject-specific space; (2) directly map connectivity into models, which can be generalized to other parameters;...
Synchronization is fundamental for information processing in oscillatory brain networks and strongly affected by time delays via signal propagation along long fibers. Their effect, however, less evident spiking neural given the discrete nature of spikes. To bridge gap between these different modeling approaches, we study synchronization conditions, dynamics underlying synchronization, role delay a two-dimensional network model composed adaptive exponential integrate-and-fire neurons. Through...
Abstract The process of making inference on networks spiking neurons is crucial to decipher the underlying mechanisms neural computation. Mean-field theory simplifies interactions between produce macroscopic network behavior, facilitating study information processing and computation within brain. In this study, we perform a mean-field model gain insight into likely parameter values, uniqueness degeneracies, also explore how well statistical relationship parameters maintained by traversing...
Current clinical methods often overlook individual variability by relying on population-wide trials, while mechanism-based trials remain underutilized in neuroscience due to the brain's complexity. A Virtual Brain Twin (VBT) is a personalized digital replica of an individual's brain, integrating structural and functional brain data into advanced computational models inference algorithms. By bridging gap between molecular mechanisms, whole-brain dynamics, imaging data, VBTs enhance...
Abstract The process of inference on networks spiking neurons is essential to decipher the underlying mechanisms brain computation and function. In this study, we conduct parameters dynamics a mean-field approximation, simplifying interactions neurons. Estimating class generative model allows one predict system’s responses under changing inputs and, indeed, parameters. We first assume set known state-space equations address problem inferring lumped from observed time series. Crucially,...
Signatures of consciousness are found in spectral and temporal properties neuronal activity. Among these, spatiotemporal complexity after a perturbation has recently emerged as robust metric to infer levels consciousness. Perturbation paradigms remain, however, difficult perform routinely. To discover alternative metrics we systematically explore brain stimulation resting-state activity digital twin model. We find that perturbational only occurs when the model operates within specific...
Signatures of consciousness are found in spectral and temporal properties neuronal activity. Among these, spatiotemporal complexity after a perturbation has recently emerged as robust metric to infer levels consciousness. Perturbation paradigms remain, however, difficult perform routinely. To discover alternative metrics we systematically explore brain stimulation resting-state activity digital twin model. We find that perturbational only occurs when the model operates within specific...
Signatures of consciousness are found in spectral and temporal properties neuronal activity. Among these, spatiotemporal complexity after a perturbation has recently emerged as robust metric to infer levels consciousness. Perturbation paradigms remain, however, difficult perform routinely. To discover alternative metrics we systematically explore brain stimulation resting-state activity digital twin model. We find that perturbational only occurs when the model operates within specific...
Abstract Background Many people feel overwhelmed by the increasing amount of cancer-related material available in information environment. Our aims was to evaluate psychometric properties brief version cancer overload (CIO) scale and examine association between CIO multiple prevention behaviors. Methods A large survey using a self-administered online questionnaire proposed all adult members Seintinelles, French national non-profit organization. The were evaluated. Measurement invariance...