7th BigBrain Workshop: Challenges of big data integration

Session

Contributed Talks 2

5 Oct 2023, 14:15

Gróska Innovation and business growth center, Reykjavík, Iceland

Description

Zoom webinar:
https://fz-juelich-de.zoom.us/j/67716299814?pwd=Q3dBRXZQa3NLL1Y2TVYvUlBqV0lQQT09
Kenncode: 749254

Chairs: Viktor Jirsa, Justine Hansen

3. A 3D coordinate system and volumetric flatmap of the whole human neocortex with applications to data visualization and modeling

Sirio Bolaños Puchet (EPFL - Blue Brain Project)

05/10/2023, 14:15

Talk

The BigBrain dataset has provided a high-resolution view of the human neocortex, promoting a shift from its conceptualization as a surface, as is common in MRI and EEG studies, to a volumetric object. This opens the door for analyses and modeling approaches previously only possible with rodent atlases.

In this work, we apply methods originally implemented for rodent neocortex to create a 3D...

21. HippoMaps: structural and functional mapping of the hippocampus follows a 2D organization

Jordan DeKraker (McGill University)

05/10/2023, 14:27

Talk

The hippocampus, a critical hub in both cognition and numerous neurological diseases, consists of a folded archicortex which can be digitally unfolded and aligned between individuals using the recently developed HippUnfold software. This enables the application of a wealth of bioinformatics methods to the hippocampus, including the use of spatial correlation between measures in a common space....

10. Connectome to graph: building neural networks with brain-like connections

Mashbayar Tugsbayar

05/10/2023, 14:39

Talk

Artificial neural networks (ANNs) have a long history of drawing inspiration from the brain, particularly the visual system. While the performance of ANNs on visual tasks continue to improve, even the most state-of-the-art visual architectures hit a brain similarity ceiling, making them unreliable tools for gathering insights into the brain. Our goal is to build a model of the visual system...

25. Personalized Human Brain Energy Atlas: Machine learning-based neuropil density from anatomical MRI

Adil Akif (Yale University)

05/10/2023, 14:51

Talk

Neuropil represents the fundamental unit in which cellular signals are processed, and it consists of neuronal/glial cells whose finest filaments form synapses. Thus, neuropil density (NP) combines both cellular (i.e., neuronal/glial cells) and synaptic masses and is central to understanding the heterogeneity of brain metabolism. Current bottom-up energy atlases use NP-derived neuronal (NeuDen)...

2. The status quo of automated cytoarchitecture analysis: Where are we, and where are we going?

Christian Schiffer (Forschungszentrum Jülich)

05/10/2023, 15:03

Talk

Cytoarchitectonic brain maps provide a microstructural reference for multi-modal human brain atlases, representing important indicators for brain connectivity and function. Cytoarchitectonic areas are defined by characteristic microstructural cell distributions, including the size, shape, type, orientation, and density of neurons, as well as their distinct laminar and columnar arrangement....

57. Reporting EEG Source Imaging clinical studies in the BigBrain space: an open challenge to compare results

Prof. Maria L. Bringas Vega (Joint China Cuba Lab for Neuroscience and Neurotechnology, University of Electronic Science and Technology of China, Chengdu China; 2. International Center for Neurological Restoration (CIREN from Spanish) Havana, Cuba)

05/10/2023, 15:15

Talk

While there are many studies using Electrophysiological Source Imaging (ESI) for clinical applications, there is a crisis in comparing results due to many factors. Some problems are related to experimental and clinical trial design or statistical methodology. These problems may be difficult to resolve in the short term. However, some problems, which are more feasible to solve, are related to...