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Primeur weekly 2018-04-09

Quantum computing

Frogs and mushrooms bubble up in quantum fluids ...

Focus on Europe

TrueBrainConnect: Predicting brain disorders - New ERC-funded project at Charité to combine EEG data and machine learning ...

Middleware

TACC promotes longtime visualization expert to director ...

The OpenMP ARB appoints Barbara Chapman of Stony Brook University and Brookhaven National Lab to its Board of Directors ...

GigaSpaces boosts Big Data and analytics performance with InsightEdge Platform 12.3 ...

Hardware

Singapore's NSCC and Australia's Pawsey Supercomputing Centre sign an MOU to boost HPC scientific collaboration ...

World's first 2 petaflop Deep Learning system, NVIDIA DGX-2, features Mellanox InfiniBand and Ethernet solutions ...

Burton Smith, Cray co-founder a dies at 77 ...

REFLEX CES to launch low profile PCIe board XpressGXA10-LP 1150 and 1151 versions ...

Supermicro first-to-market with IoT embedded solutions optimized for new 8th Gen Intel Core processors ...

Preferred Networks to launch MN-1b private sector supercomputer adopting NVIDIA Tesla V100 32GB GPUs ...

GigaSpaces InsightEdge Platform with Intel technology accelerates AI innovations ...

DDN and Dalet announce certified solutions; Reimagining centralized storage for ultra HD broadcast workflows at scale ...

Applications

University of Alabama in Huntsville researchers' supercomputer simulations shed light on the heliospheric interface ...

Academic researchers look to Argonne's Mira supercomputer to better understand boiling phenomena, bubble formation and two-phase bubbly flow inside nuclear reactors ...

Anticipating the dangers of space ...

NVIDIA Project Clara supercomputing platform redefines medical imaging ...

University of Illinois team brings subatomic resolution to computational microscope ...

BSC launches the Bioinfo4Women - Outstanding Young Female Bioinformaticians Programme ...

Statewide Users Group spring conference showcases variety of research and OSC resources ...

Insilico Taiwan calls Taiwanese AI talents with MolHack starting from April 23 ...

Dark matter might not be interactive after all ...

Forecasting the 'whether' with computer modelling ...

William Tang wins 2018 NVIDIA Global Impact Award ...

The Cloud

Gluster Community releases Gluster 4.0 with enhanced container integration ...

TrueBrainConnect: Predicting brain disorders - New ERC-funded project at Charité to combine EEG data and machine learning

Dr. Stefan Haufe. Copyright Charité/Peitz4 Apr 2018 Berlin - Hosted by Charité - Universitatsmedizin Berlin, the TrueBrainConnect project aims to systematically study connections between different areas of the brain, and hopes to draw conclusions regarding potential disease patterns. A team of researchers, led by Dr. Stefan Haufe - a computer scientist and expert in the field of machine learning - are hoping to produce complex models capable of predicting different mental states. Their research will be based on EEG data. The new working group has secured funding from the European Research Council (ERC) for a duration of five years, and will be based at Charité's Berlin Center for Advanced Neuroimaging.

The TrueBrainConnect project is based on the premise that many neurological disorders start to manifest themselves even before the onset of symptoms, or before they produce noticeable changes in brain structure or behavior. The project's hypothesis is that these disorders herald their presence through irregularities in the way different areas of the brain communicate with each other. The new working group, which will be led by Dr. Haufe, will try to develop methods capable of reliably estimating and localizing brain interactions, in the hope of improving the prognosis of pathological conditions affecting the brain.

"Electroencephalography (EEG), which records the brain's electrical activity, is one of the most well-established neuro-imaging methods, and allows researchers to study brain activity almost in real time. The data generated by this process are entered into computer models, which allow us to deduce the principles guiding these interactions within the brain", explained Dr. Haufe.

The methods currently available for the analysis of neuro-imaging data are not yet sufficiently developed, and robust conclusions cannot be drawn from them. It is hoped that new signal processing and machine learning techniques will allow researchers to make precise determinations regarding brain signal sources and actual nerve cell interactions. To this end, Dr. Haufe and his team will be working in close collaboration with clinical colleagues: "The new TrueBrainConnect method will be capable of visualizing neuronal patterns that underpin disorders such as dementia and Parkinson's disease. The primary aims of these endeavours include the identification of the early precursors of disease and the delineation of different types of dementia." The researchers are hopeful that this will help improve the early diagnosis of these extremely common neurological disorders.

However, numerous challenges will need to be overcome along the way. For instance, for each signal recorded, researchers must determine whether its origins can be clearly traced back to an actual interaction between different areas of the brain, or whether it has a different origin. While EEG offers researchers numerous advantages, the technology also presents technical challenges that need to be resolved, such as poor spatial resolution and a high degree of noise contamination. "To improve the quality of predictions, TrueBrainConnect will use the latest methods from the field of machine learning. One important question the project will be investigating is how to correctly interpret these new models; how to recognize which patterns of brain activity are crucial for a particular prognosis", explained Dr. Haufe.

"Dr. Haufe's research fills an important gap, and places EEG research on methodologically sound foundations", stated Prof. Dr. John-Dylan Haynes, Director of the Berlin Center for Advanced Neuroimaging and researcher at Charité's Bernstein Center for Computational Neuroscience. TrueBrainConnect will be positioned at the interface between two high-profile fields of research: the analysis of functional brain connectivity and the study of age-related neurological disorders. Both the development of improved statistical techniques for the analysis of neuro-imaging data, as well as the development of new methods of signal processing and machine learning, will form the heart of these endeavors. Their practical application, and the evaluation of their effectiveness in the investigation of neurological disorders, will form part of the second stage of this project. It is anticipated that these new techniques will be used in the fields of Brain-Computer Interfacing and Mental State Monitoring, as well as in basic and clinical research.

Aimed at early-career scientists, ERC Starting Grants are awarded by the European Research Council as part of the Horizon 2020 Framework Programme for Research and Innovation. A total of 1.5 million euro has been secured to fund the development of the working group at Charité's Berlin Center for Advance Neuro-imaging.
Source: Charité - Universitätsmedizin Berlin

Back to Table of contents

Primeur weekly 2018-04-09

Quantum computing

Frogs and mushrooms bubble up in quantum fluids ...

Focus on Europe

TrueBrainConnect: Predicting brain disorders - New ERC-funded project at Charité to combine EEG data and machine learning ...

Middleware

TACC promotes longtime visualization expert to director ...

The OpenMP ARB appoints Barbara Chapman of Stony Brook University and Brookhaven National Lab to its Board of Directors ...

GigaSpaces boosts Big Data and analytics performance with InsightEdge Platform 12.3 ...

Hardware

Singapore's NSCC and Australia's Pawsey Supercomputing Centre sign an MOU to boost HPC scientific collaboration ...

World's first 2 petaflop Deep Learning system, NVIDIA DGX-2, features Mellanox InfiniBand and Ethernet solutions ...

Burton Smith, Cray co-founder a dies at 77 ...

REFLEX CES to launch low profile PCIe board XpressGXA10-LP 1150 and 1151 versions ...

Supermicro first-to-market with IoT embedded solutions optimized for new 8th Gen Intel Core processors ...

Preferred Networks to launch MN-1b private sector supercomputer adopting NVIDIA Tesla V100 32GB GPUs ...

GigaSpaces InsightEdge Platform with Intel technology accelerates AI innovations ...

DDN and Dalet announce certified solutions; Reimagining centralized storage for ultra HD broadcast workflows at scale ...

Applications

University of Alabama in Huntsville researchers' supercomputer simulations shed light on the heliospheric interface ...

Academic researchers look to Argonne's Mira supercomputer to better understand boiling phenomena, bubble formation and two-phase bubbly flow inside nuclear reactors ...

Anticipating the dangers of space ...

NVIDIA Project Clara supercomputing platform redefines medical imaging ...

University of Illinois team brings subatomic resolution to computational microscope ...

BSC launches the Bioinfo4Women - Outstanding Young Female Bioinformaticians Programme ...

Statewide Users Group spring conference showcases variety of research and OSC resources ...

Insilico Taiwan calls Taiwanese AI talents with MolHack starting from April 23 ...

Dark matter might not be interactive after all ...

Forecasting the 'whether' with computer modelling ...

William Tang wins 2018 NVIDIA Global Impact Award ...

The Cloud

Gluster Community releases Gluster 4.0 with enhanced container integration ...