El Centro de Investigación en Matemáticas A.C. (CIMAT) y el Instituto de Neurobiología de la UNAM (campus Juriquilla, Qro.) tienen el gusto de invitarlo a la XXII Reunión de Neuroimagen que se llevará a cabo de manera virtual (on line) el viernes 2 de Octubre del 2020.

Para la XXII Reunión de Neuroimagen se aceptarán trabajos para presentación online en el formato de ponencia y carteles, que serán incluidos en las memorias electrónicas del evento. Se les invita a enviar resúmenes de ponencias en español o inglés a la dirección ni@cimat.mx a más tardar el domingo 13 de Septiembre del 2020.

Conferencistas invitados y confirmados (hasta el momento):

- Scott Makeig, PhD
Research Scientist & Director, Swartz Center for Computational Neuroscience (SCCN)
Institute for Neural Computation (INC), University of California San Diego (UCSD)

- Sune Jespersen, PhD
Professor at Aarhus University, Department of Clinical Medicine - Center of Functionally Integrative Neuroscience
Department of Physics and Astronomy

Título: Quantifying brain microstructure with diffusion MRI

Resumen: Being sensitive to tissue structural features on the micrometer level (microstructure), diffusion MRI combined with biophysical modeling has the potential to map relevant biological properties on scales far below the nominal voxel resolution. In the brain and spinal cord, much work in this direction has been based on a relatively simple biophysical model of diffusion, recently dubbed “the standard model”. This model characterizes the diffusion signal in terms of a handful of relevant parameters: neurite volume fraction, intra-neurite and extra-neurite diffusivity, and the neurite or fiber orientation distribution. In this talk, I will give some background for the standard model and an overview of our work with it, covering efforts to validate the model in animal model systems including comparisons to histology. I will also outline some current problems with the model, ongoing attempts to overcome them and extend the modeling to gray matter. I will also discuss our work on kurtosis as well as double diffusion encoding, and its connections to the standard model. Throughout, I will give examples of applications in health and disease.

- Casey Paquola, PhD
The Douglas Research Centre, McGill University and the Montreal West Island IUHSSC

Título: How gradients of cortical architecture support large-scale functional dynamics

Resumen: I'll be discussing the functional significance of cytoarchitectural patterns across the cortex. This work builds upon a new approach to measure cortical architecture, which we developed on a volumetric reconstruction of a sliced and stained post mortem human brain then translated to microstructurally-sensitive MRI. In doing so, we identified a system-level gradient of microstructural differentiation traversing from primary sensory to limbic areas, which followed shifts in laminar differentiation and cytoarchitectural complexity. We found that large-scale gradients of microstructural differentiation overlapped with core axes of cortical dynamics but diverged towards transmodal cortical areas involved in more flexible aspects of cognition. By extending a surface-based model of the cortex to include the hippocampus (ie: allocortex), we could also show how specific features of cortical architecture and the intersection of the anterior-posterior processing streams underlie the hippocampus' putative role as a zone of convergence. Finally, using manifold learning techniques, we explored how multiple features of cortical wiring (spatial proximity, microstructural similarity and diffusion-based tractography) contribute to the functional organisation of the cortex. We found that the cortical wiring scheme sits upon intersecting cell-type specific gradients and supports multiple frequency-specific processing hierarchies, derived from intracranial EEG. All in all, we're working towards a multi-scale model of the cortex that can be used to interrogate the relationship between microstructure and function.

Fechas importantes:

Límite para enviar resúmenes: Domingo 13 de septiembre del 2020
Publicación de resultados: Viernes 18 de septiembre del 2020
Límite para registro: Lunes 28 de septiembre 2020
Envío de carteles para ser incluidos en el sistema de presentación: Lunes 28 de septiembre del 2020

A los asistentes se les enviará la liga de conexión unos días antes del evento.


El Comité Organizador
Dr. Sarael Alcauter, INB-UNAM
Dr. Rolando Biscay, CIMAT
Dr. Jorge Bosch, INB-UNAM
Dr. Luis Concha, INB-UNAM
Dr. Eduardo Garza, INB-UNAM
Dr. Arturo González, DCI-Universidad de Guanajuato
Dra. Thalía Harmony, INB-UNAM
Dr. José Luis Marroquín, CIMAT
Dr. Alonso Ramírez, CIMAT

Contacto: ni@cimat.mx