8th BigBrain Workshop
Keynote Talks
BigBrain Project Educational Lecture (HBHL Training Day)
The BRAIN Initiative Cell Atlas Network: Comprehensive multimodal atlases of the human brain
Michael Hawrylycz
Modeling, Analysis, and Theory Group, Allen Institute for Brain Science - Seattle, CA
More information: https://events.hifis.net/event/1416/page/303-bigbrain-project-educational-lecture
HIBALL Lecture in Brain Analytics and Learning
Architecture and function of spontaneous brain activity in health and pathology
Maurizio Corbetta
Department of Neuroscience, University of Padova, Italy
More information: https://events.hifis.net/event/1416/page/302-hiball-lecture-in-brain-analytics-and-learning
Sievers Lecture in Computational Neuroscience
The emergent properties of the connected brain
Michel Thiebaut de Schotten
Neurofunctional Imaging Group, University of Bordeaux & Brain Connectivity and Behaviour Laboratory (BCBLab), Sorbonne Universités, Paris - Bordeaux, France
More information: https://events.hifis.net/event/1416/page/304-sievers-lecture-in-computational-neuroscience
Invited Lectures
Dimensional perspectives on multiscale cortical organization
Boris Bernhardt
MICA Lab, Montreal Neurological Institute, McGill University
Abstract: https://events.hifis.net/event/1416/contributions/11811/
NeuroAI Special Lecture (HBHL Training Day): Approaches to brain control
Michele Allegra
Padova Neuroscience Center, University of Padova
More information: https://events.hifis.net/event/1416/page/465-approaches-to-brain-control
LOC Session: The Padova Neuroscience Centre
Brain connectivity and glioma: a new approach
Alessandro Salvalaggio
Department of Neuroscience, University of Padova, Italy
Abstract: https://events.hifis.net/event/1416/page/300-local-session-the-padova-neuroscience-center
The Clinical Connectome: From Neurodegenerative to Focal Brain Diseases
Lorenzo Pini
Department of Neuroscience, University of Padova, Italy
Abstract: https://events.hifis.net/event/1416/page/300-local-session-the-padova-neuroscience-center
PET connectomics: Exploring brain network complexity from a molecular imaging perspective
Alessandra Bertoldo
Department of Neuroscience, University of Padova, Italy
Abstract: https://events.hifis.net/event/1416/page/300-local-session-the-padova-neuroscience-center
Training Day
Indirect network disconnection methods (HBHL Training Day)
Hands-on session by Alessandro Salvalaggio & Lorenzo Pini
Department of Neuroscience, University of Padova
Abstract: https://events.hifis.net/event/1416/page/312-indirect-network-disconnection-methods
Introduction to the Allen Institute Single Cell Ecosystem (HBHL Training Day)
Hands-on session by Rachel Hostetler
Allen Institute for Brain Science, Seattle, CA
Abstract: https://events.hifis.net/event/1416/page/464-introduction-to-the-allen-institute-single-cell-ecosystem
Sulcal morphometry for multiple subjects using BrainVisa / Morphologist (HBHL Training Day)
Hands-on session by Denis Rivière & Jean-François Mangin
NeuroSpin, Saclay
Abstract: https://events.hifis.net/event/1416/page/308-sulcal-morphometry-for-multiple-subjects-using-brainvisa-morphologist
BigBrain data processing with CBRAIN (HBHL Training Day)
Hands-on session by Bryan Caron
NeuroHub, McGill University
Abstract: https://events.hifis.net/event/1416/page/311-bigbrain-data-processing-with-cbrain
The BigMac Dataset: combining multi-contrast MRI and microscopy in the macaque brain (HBHL Training Day)
Hands-on session by Amy Howard & Silei Zhu
Wellcome Centre for Integrative Neuroimaging (FMRIB Centre), University of Oxford
Abstract: https://events.hifis.net/event/1416/page/307-the-bigmac-dataset-combining-multi-contrast-mri-and-microscopy-in-the-macaque-brain
Making the multiscale organization of the human brain accessible to reproducible workflows using siibra-python (HBHL Training Day)
Hands-on session by Timo Dickscheid & Sebastian Bludau
Institute for Neuroscience and Medicine (INM-1), Forschungszentrum Jülich, Germany
Abstract: https://events.hifis.net/event/1416/page/310-making-the-multiscale-organization-of-the-human-brain-accessible-to-reproducible-workflows-using-siibra-python
Integrating AI approaches for brain modelling (HBHL Training Day)
Jane Roskams, moderator
Panel Discussion
Panel: Rachel Hostetler, Amy Howard, Michele Allegra, Christian Schiffer
HIBALL
Introduction
Katrin Amunts, Alan Evans
Panel Discussion: The benefit of making multimodal data interoperable
BigBrain as part of the Multimodal Atlas at EBRAINS
Katrin Amunts
Institute of Neuroscience and Medicine (INM-1) Forschungszentrum Jülich, Cécile and Oskar Vogt Institute for Brain Research, University Hospital Düsseldorf, Medical Faculty, Heinrich-Heine University Düsseldorf, Germany
The McGill multimodal data ecosystem
Alan C. Evans
Montreal Neurological Institute, McGill University
Moderated discussion
Moderator: Katrin Amunts
Panel: Michael Hawrylycz, Jean-François Mangin, Amy Howard, Timo Dickscheid, Alan Evans
Contributed Talks
Session 1: Multimodal data acquisition and processing (co-Chairs: Jordan DeKraker, Timo Dickscheid)
Mapping neurotransmitter receptor distributions in the macaque cortex
Thomas Funck
Child Mind Institute, New York City, New York, USA)
Abstract: https://events.hifis.net/event/1416/contributions/11267/
Label-free biomolecular tissue analysis in the living brain via vibrational fiber photometry at arbitrary depth
Filippo Pisano
Department of Physics and Astronomy & Padova Neuroscience Center, University of Padova
Abstract: https://events.hifis.net/event/1416/contributions/11287/
Adaptation of FreeSurfer v7.4 pipeline for automated volumetric parcellation and cortical surface extraction of BigBrains 1 and 2
Lindsay B Lewis
McGill Centre for Integrative Neuroscience, McGill University
Abstract: https://events.hifis.net/event/1416/contributions/11270/
The Extremely Brilliant Brain: The Isotropic Micrometric Human Brain Dataset
Matthieu Chourrout
University College London, Department of Mechanical Engineering
Abstract: https://events.hifis.net/event/1416/contributions/11284/
Session 2: Segmentation and AI (co-Chairs: Claire Walsh, Jussi Tohka)
CytoNet: A Deep Neural Network for Whole-brain Characterization of Human Cytoarchitecture
Christian Schiffer
INM-1 Forschungszentrum Jülich, Germany
Abstract: https://events.hifis.net/event/1416/contributions/11261/
Autoencoders for cluster analysis of rat brain histology
Melina Estela Dalmau
University of Eastern Finland
Abstract: https://events.hifis.net/event/1416/contributions/11273/
Step by Step: Towards a gapless 1 micron BigBrain with Diffusion Models
Jan-Oliver Kropp
INM-1 Forschungszentrum Jülich, Helmholtz AI, Jülich, Germany
Abstract: https://events.hifis.net/event/1416/contributions/11426/
BigBrain Image blind restoration and alignment with generative priors, U-Net and structural similarity
Mingli Zhang
Montreal Neurological Institute, McGill University
Abstract: https://events.hifis.net/event/1416/contributions/11276/
Analyzing Regional Organization of the Human Hippocampus in 3D-PLI Using Contrastive Learning and Geometric Unfolding
Alexander Oberstrass
Institute of Neuroscience and Medicine (INM-1), Forschungszentrum Jülich, Germany
Abstract: https://events.hifis.net/event/1416/contributions/11282/
Towards Universal Instance Segmentation Models in Biomedical Imaging
Eric Upschulte
Institute of Neuroscience and Medicine (INM-1), Forschungszentrum Jülich, Germany
Abstract: https://events.hifis.net/event/1416/contributions/11283/
Session 3: Mapping and Atlases (co-Chairs: Elizabeth Rounis, Thomas Funck)
HippoMaps: multiscale cartography of human hippocampal organization
Jordan DeKraker
Montreal Neurological Institute, McGill University
Abstract: https://events.hifis.net/event/1416/contributions/11280/
Asymmetry of hippocampal subfield volumes in a heterogenous cohort of focal drug-resistant epilepsies
Mastaneh Torkamani-Azar
A.I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, Kuopio, Finland
Abstract: https://events.hifis.net/event/1416/contributions/11264/
High-resolution 3D Mapping of the Human Hypothalamus:Towards a Comprehensive Cytoarchitectonic Atlas
Alexey Chervonnyy
Cécile & Oscar Vogt Institute for Brain Research
Abstract: https://events.hifis.net/event/1416/contributions/11266/
Mapping superficial white matter architecture on BigBrain
Youngeun Hwang
Montreal Neurological Institute, McGill University
Abstract: https://events.hifis.net/event/1416/contributions/11274/
Surface-based parcellation and vertex-wise analysis of ultra high-resolution ex vivo 7 tesla MRI in Alzheimer’s disease and related dementias
Pulkit Khandelwal
University of Pennsylvania
Abstract: https://events.hifis.net/event/1416/contributions/11263/
Exploring the links between the localization of cortical areas and the variability of folding patterns
ZhongYi Sun
Institut du Cerveau et de la Moëlle (ICM), Paris, France
Abstract: https://events.hifis.net/event/1416/contributions/11265/
Session 4: Modelling and Connectivity (co-Chairs: Lorenzo Pini, Boris Bernhardt)
Improving Brain Simulation Accuracy: Sensitivity Analysis and Realistic Time Delays in Neural Mass Models
Anisleidy González-Mitjans
Montreal Neurological Institute, McGill University
Abstract: https://events.hifis.net/event/1416/contributions/11271/
EEG Simulation through Integration of Structural Connectivity Data and High-Density Surface Meshes in Brain Region-Specific Network Models
Alejandro Salinas-Medina
Montreal Neurological Institute, McGill University
Abstract: https://events.hifis.net/event/1416/contributions/11262/
cuBNM: GPU-Accelerated Biophysical Network Modeling
Amin Saberi
Institute of Neuroscience and Medicine (INM-7), Forschungszentrum Jülich, Germany Otto Hahn Research Group for Cognitive Neurogenetics, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
Abstract: https://events.hifis.net/event/1416/contributions/11277/
Minimizing time-to-result: Cobrawap latest developments and applications
Cosimo Lupo
Istituto Nazionale di Fisica Nucleare (INFN), Rome, Italy
Abstract: https://events.hifis.net/event/1416/contributions/11278/
Neuropil distributions in the human brain predict resting-state functional networks
Brian Chang
Yale University
Abstract: https://events.hifis.net/event/1416/contributions/11268/