Conferences

Berliner Hoffest 2019: 04.06.2019
Berlin, Germany

The Berliner Hoffest is an annual event in Berlin celebrating the achievements of Berlin. This year there was an exhibition outside City Hall featuring a wide variety of installations celebrating the 30th year since the Berlin Wall fell.

The Brain Simulation Unit was exhibiting along side The Berlin Institute of Health(BIH), show casing our real time brain visualisations and brain simulation work with The Virtual Brain.

Long Night of the Sciences Berlin 2019: 15.06.2019
Berlin, Germany

The Long Night of the Sciences (LNDW) is an annual event across all Berlin and Potsdam-Telegrafenberg, celebrating the sciences with open doors to many scientific institutions and museums, hosting a wide range of experiences. This year the LNDW will be held on June 15th from 5pm until midnight.

Like in the past two years, the Brain Simulation Section is joining to present educational and fun experiments and lectures, showcasing how practical brain simulation can improve our lives.

CNS*2019 Workshop in Barcelona: 16.07.2019–17.07.2019
Barcelona, Spain

The workshop will introduce the VirtualBrainCloud that merges existing software tools and platforms to provide access to high quality clinical multi-disciplinary data in order to integrate them via computational modeling, and make them useful in clinical practice.  

more on the brainsimulation website

TVB Node#9 Workshop in Warsaw: 31.08.2019
Warsaw, Poland

Get up to speed about the fundamental principles of full brain network modeling using the open-source neuroinformatics platform The Virtual Brain (TVB).

more on the brainsimulation website

Journals

VirtualBrainCloud
publications

Joint VirtualBrainCloud publications

N. A. Akar et. al. Arbor – a morphologically-detailed neural network simulation library for contemporary high-performance computing architectures. arXiv e-prints, art. arXiv:1901.07454, Jan. 2019. https://arxiv.org/abs/1901.07454.S

Anandhi Iyappan   Michaela Gündel  Mohammad Shahid   Jiali Wang  Hui Li  Heinz-Theodor Mevissen  Bernd Müller   Juliane Fluck  Viktor Jirsa   Lia Domide  Erfan Younesi   Martin Hofmann-Apitius. Toward a Pathway Inventory of the Human Brain for Modeling Disease Mechanisms Underlying Neurodegeneration. Journal of Alzheimer's disease

Blundell et. al. Code Generation in Computational Neuroscience: A Review of Tools and Techniques. Frontiers in Neuroinformatics, 12:68, 2018. ISSN 1662-5196. doi:10.3389/fninf.2018.00068.

Canuet L, Pusil S, López ME, Bajo R, Pineda-Pardo JÁ, Cuesta P, Gálvez G, Gaztelu JM, Lourido D, García-Ribas G, Maestú F. “Network Disruption and Cerebrospinal Fluid Amyloid-Beta and Phospho-Tau Levels in Mild Cognitive Impairment.” J Neurosci. 2015 Jul 15;35(28):10325-30.

Fluck, Senger, Ziegler, Claus, Schwichtenberg. The cloud4health Project: Secondary Use of Clinical Data with Secure Cloud-Based Text Mining Services 2017  In: Griebel M., Schüller A., Schweitzer M. (eds) Scientific Computing and Algorithms in Industrial Simulations. Springer, Cham https://doi.org/10.1007/978-3-319-62458-7_15

Koval, Bone, Lois, Bottani, Marcoux, Samper-Gonzalez, Burgos, Charlier, Bertrand, Epelbaum, Colliot, Allassonniere, Durrleman for the Alzheimer’s Disease Neuroimaging Innitiative. Simulating Alzheimer’s disease progression with personalised digital brain models (preprint) https://who.rocq.inria.fr/Stanley.Durrleman/papers/DigitalBrainModels.pdf

López ME, Bruna R, Aurtenetxe S, Pineda-Pardo JA, Marcos A, Arrazola J, Reinoso AI, Montejo P, Bajo R, Maestú F. “Alpha-band hypersynchronization in progressive mild cognitive impairment: a magnetoencephalography study.” J Neurosci. 2014 Oct 29;34(44):14551-9.

Maestú F, Peña JM, Garcés P, González S, Bajo R, Bagic A, Cuesta P, Funke M, Mäkelä JP, Menasalvas E, Nakamura A, Parkkonen L, López ME, Del Pozo F, Sudre G, Zamrini E, Pekkonen E, Henson RN, Becker JT; Magnetoencephalography International Consortium of Alzheimer's Disease. A multicenter study of the early detection of synaptic dysfunction in Mild Cognitive Impairment using Magnetoencephalography-derived functional connectivity. Neuroimage Clin. 2015 Aug 1;9:103-9. doi: 10.1016/j.nicl.2015.07.011. eCollection 2015.

Matzke,   Schirner,   Vollbrecht,   Rothmeier,   Llarena,   Rojas,   Triebkorn,    Domide,   Mersmann,  Solodkin,   Jirsa,  McIntosh,  Ritter. TVB-EduPack—An Interactive Learning and Scripting Platform for The Virtual Brain. Frontiers in Neuroinformatics

Nakamura A, Cuesta P, Fernández A, Arahata Y, Iwata K, Kuratsubo I, Bundo M, Hattori H, Sakurai T, Fukuda K, Washimi Y, Endo H, Takeda A, Diers K, Bajo R, Maestú F, Ito K, Kato T. “Electromagnetic signatures of the preclinical and prodromal stages of Alzheimer's disease.” Brain. 2018 May 1;141(5):1470-1485.

akamura A, Cuesta P, Kato T, Arahata Y, Iwata K, Yamagishi M, Kuratsubo I, Kato K, Bundo M, Diers K, Fernández A, Maestú F, Ito K. Early functional network alterations in asymptomatic elders at risk for Alzheimer's disease.Sci Rep. 2017 Jul 26;7(1):6517. doi: 10.1038/s41598-017-06876-8.

J. Oehrl et. al. Streaming live neuronal simulation data into visualization and analysis. In R. Yokota, M. Weiland, J. Shalf, and S. Alam, editors, High Performance Computing, pages 258–272, Cham, 2018. Springer International Publishing. ISBN 978-3-030-02465-9. doi:10.1007/978-3-030-02465-9_18.

Poldrack, Feingold, Frank, Gleeson, de Hollander, Huys, Love, Markiewitcz, Moran, Ritter, Turner, Yarkoni, Zhang, Cohen. The importance of standards for sharing of computational models and data https://psyarxiv.com/q3rnx

Sanz Leon, Knock, Woodman, Domide, Mersmann, Mcintosh, Jirsa. The Virtual Brain: a simulator of primate brain network dynamics. Frontiers in Neuroinformatics

Schirner, McIntosh, Jirsa, Deco, Ritter (2018) Inferring multi-scale neural mechanisms with brain network modelling. eLife https://doi.org/10.7554/eLife.28927.001 Video tutorial:  https://www.youtube.com/watch?v=rAyAiQ83B9U&list=PLVtblERyzDeIATvaoHp-bBtksF25zm8p1&index=7

Schirner, M., S. Rothmeier, V. Jirsa, A. R. McIntosh and Ritter, P. (2015). An automated pipeline for constructing personalised virtual brains from multimodal neuroimaging data. Neuroimage. doi: 10.1016/j.neuroimage.2015.03.055. Video tutorial: https://www.youtube.com/watch?v=j7r8WZ5ls64&list=PLVtblERyzDeIATvaoHp-bBtksF25zm8p1&index=6

Shen K, Bezgin G, Schirner M, Ritter P, Everling S, McIntosh AR (2019) A macaque connectome for large-scale network simulations in TheVirtualBrain Nature Scientific  https://doi.org/10.1038/s41597-019-0129-z

Solodkin, Zimmermann, McIntosh, Stefanovski, Ritter (2017) Neurological biomarkers and Neuroinformatics: The role of The Virtual Brain.  Book: in Molecular-Genetic and Statistical Techniques for Behavioral and Neural Research https://doi.org/10.1016/B978-0-12-804078-2.00001-5

Stefanovski, Triebkorn, Spiegler, Diaz-Cortes, Solodkin, Jirsa, McIntosh, Ritter; for the Alzheimer’s Disease Neuroimaging Initiative (2019). Linking molecular pathways and large-scale computational modeling to assess candidate disease mechanisms and pharmacodynamics in Alzheimer’s disease. Frontiers Computational Neuroscience doi: 10.3389/fncom.2019.00054

Susi G, de Frutos Lucas J, Niso G, Ye Chen SM, Anton Toro L, Chino Vilca BN, and Maestu F. Healthy and pathological neurocognitive aging: Spectral and functional connectivity analyses using magnetoencephalography. In OXFORD RESEARCH ENCYCLOPEDIA OF PSYCHOLOGY AND AGING. Oxford University press, 2018.

Woodman,  Pezard,    Domide,   Knock,   Sanz-Leon,   Mersmann,   Mcintosh,   Jirsa. Integrating neuroinformatics tools in TheVirtualBrain. Frontiers in Neuroinformatics

Zimmermann, Perry, Breakspear, Schirner, Sachdev, Wen, Kochan, Mapstone, Ritter, McIntosh, Solodkin (2018) Differentiation of Alzheimer’s disease based on local and global parameters in personalized Virtual Brain models. Neuroimage Clinical https://doi.org/10.1016/j.nicl.2018.04.017

Ritter, P., M. Schirner, A. R. McIntosh and V. K. Jirsa (2013). "The virtual brain integrates computational modeling and multimodal neuroimaging." Brain Connect 3(2): 121-145.

Press

VirtualBrainCloud
in the press

May 2019

Title/content: VirtualBrainCloud on CORDIS - The Virtual Brain simulates the Brain to reveal the origins of disorders
Link: https://cordis.europa.eu/article/rcn/125259/en
Press release in English

January 2019

Title/content: VirtualBrainCloud project holds kick-off meeting in Berlin
Link: https://www.alzheimer-europe.org/News/EU-projects/Friday-25-January-2019-VirtualBrainCloud-project-holds-kick-off-meeting-in-Berlin
Press release on Alzheimer Europe website in English

November 2018

Title/content: Fraunhofer SCAI press release on VirtualBrainCloud
Link: https://www.scai.fraunhofer.de/de/geschaeftsfelder/bioinformatik/projekte/Virtual_Brain_Cloud.html
Press release in German

November 2018

Title/content: Forschungszentrum Jülich press release on VirtualBrainCloud
Link: https://wwwgsb.fz-juelich.de/ias/jsc/EN/Research/Projects/_projects/vbc.html
Press release in English

November 2018

Title/content: VirtualBrainCloud on CORDIS - How the digital revolution is transforming EU-funded brain research
Link: https://cordis.europa.eu/article/id/401587-cordis-results-pack-on-the-brain/en
Press release in English

November 2018

Title/content: VirtualBrainCloud on CORDIS - factsheet - Personalized Recommendations for Neurodegenerative Disease
Link: https://cordis.europa.eu/project/rcn/219020/factsheet/en
Press release in English

Public Documents

Please find here a summary of public project documents here soon