Next generation human brain models: engineered flat brain organoids featuring gyrification

2021 ◽  
Vol 13 (1) ◽  
pp. 011001 ◽  
Author(s):  
Theresa S P Rothenbücher ◽  
Hakan Gürbüz ◽  
Marta P Pereira ◽  
Arto Heiskanen ◽  
Jenny Emneus ◽  
...  
Author(s):  
Emily Mendez ◽  
Laura Stertz ◽  
Gabriel Fries ◽  
Ruifeng Hu ◽  
Thomas Meyer ◽  
...  

2020 ◽  
pp. 1-7
Author(s):  
Bharath Raju ◽  
Fareed Jumah ◽  
Vinayak Narayan ◽  
Anika Sonig ◽  
Hai Sun ◽  
...  

The earliest evidence of man’s attempts in communicating ideas and emotions can be seen on cave walls and ceilings from the prehistoric era. Ingenuity, as well as the development of tools, allowed clay tablets to become the preferred method of documentation, then papyrus and eventually the codex. As civilizations advanced to develop structured systems of writing, knowledge became a power available to only those who were literate. As the search to understand the intricacies of the human brain moved forward, so did the demand for teaching the next generation of physicians. The different methods of distributing information were forced to advance, lest the civilization falls behind. Here, the authors present a historical perspective on the evolution of the mediums of illustration and knowledge dissemination through the lens of neurosurgery. They highlight how the medium of choice transitioned from primitive clay pots to cutting-edge virtual reality technology, aiding in the propagation of medical literature from generation to generation across the centuries.


2002 ◽  
Vol 5 (9) ◽  
pp. 829-829 ◽  
Author(s):  
Josh McDermott
Keyword(s):  

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 111303-111315 ◽  
Author(s):  
Jaakko Hakala ◽  
Joni Kilpijarvi ◽  
Mariella Sarestoniemi ◽  
Matti Hamalainen ◽  
Sami Myllymaki ◽  
...  

Author(s):  
Estela Suarez ◽  
Susanne Kunkel ◽  
Anne Küsters ◽  
Hans Ekkehard Plesser ◽  
Thomas Lippert

AbstractThe precise simulation of the human brain requires coupling different models in order to cover the different physiological and functional aspects of this extremely complex organ. Each of this brain models is implemented following specific mathematical and programming approaches, potentially leading to diverging computational behaviour and requirements. Such situation is the typical use case that can benefit from the Modular Supercomputing Architecture (MSA), which organizes heterogeneous computing resources at system level. This architecture and its corresponding software environment enable to run each part of an application or a workflow on the best suited hardware.This paper presents the MSA concept covering current hardware and software implementations, and describes how the neuroscientific workflow resulting of coupling the codes NEST and Arbor is being prepared to exploit the MSA.


Author(s):  
J. Sebastian Giudice ◽  
Ahmed Alshareef ◽  
Taotao Wu ◽  
Andrew K. Knutsen ◽  
Lucy V. Hiscox ◽  
...  

Central to the investigation of the biomechanics of traumatic brain injury (TBI) and the assessment of injury risk from head impact are finite element (FE) models of the human brain. However, many existing FE human brain models have been developed with simplified representations of the parenchyma, which may limit their applicability as an injury prediction tool. Recent advances in neuroimaging techniques and brain biomechanics provide new and necessary experimental data that can improve the biofidelity of FE brain models. In this study, the CAB-20MSym template model was developed, calibrated, and extensively verified. To implement material heterogeneity, a magnetic resonance elastography (MRE) template image was leveraged to define the relative stiffness gradient of the brain model. A multi-stage inverse FE (iFE) approach was used to calibrate the material parameters that defined the underlying non-linear deviatoric response by minimizing the error between model-predicted brain displacements and experimental displacement data. This process involved calibrating the infinitesimal shear modulus of the material using low-severity, low-deformation impact cases and the material non-linearity using high-severity, high-deformation cases from a dataset of in situ brain displacements obtained from cadaveric specimens. To minimize the geometric discrepancy between the FE models used in the iFE calibration and the cadaveric specimens from which the experimental data were obtained, subject-specific models of these cadaveric brain specimens were developed and used in the calibration process. Finally, the calibrated material parameters were extensively verified using independent brain displacement data from 33 rotational head impacts, spanning multiple loading directions (sagittal, coronal, axial), magnitudes (20–40 rad/s), durations (30–60 ms), and severity. Overall, the heterogeneous CAB-20MSym template model demonstrated good biofidelity with a mean overall CORA score of 0.63 ± 0.06 when compared to in situ brain displacement data. Strains predicted by the calibrated model under non-injurious rotational impacts in human volunteers (N = 6) also demonstrated similar biofidelity compared to in vivo measurements obtained from tagged magnetic resonance imaging studies. In addition to serving as an anatomically accurate model for further investigations of TBI biomechanics, the MRE-based framework for implementing material heterogeneity could serve as a foundation for incorporating subject-specific material properties in future models.


Sign in / Sign up

Export Citation Format

Share Document