Research

Alan Urban UC irvine workshop

We develop the next generation of functional ultrasound (fUS) imaging technology with 3 words in mind: faster, smaller, cheaper

fUSi is a breakthrough modality based on Doppler ultrasound and is capable of recording in real-time activity over the entire brain at unprecedented spatial and temporal resolution. The technology offers high sensitivity and reproducibility for neuroscience research in chronic and behaving animal models.

Understanding the brain with fUS imaging

The understanding of brain function is one of the most exciting and difficult scientific challenges. All system neuroscience research suggests that decoding the brain black box will rely on a more precise description of brain tissue at a single-cell level (neuron, microglia, astrocytes, perycites…) or even at a subcellular level or beyond (membrane dynamics, nucleus, mitochondria, DNA, RNA…) but also of visualization of brain circuits at large scale.

To achieve this goal, we need to develop new technologies to probe brain activity at high spatiotemporal resolution, with a large field of view and in depth. The recent use of 2 photon imaging (2Pi) associated with genetically encoded voltage/calcium indicators (GEVI/GECI) has been key for analyzing specific basic brain circuits. Nevertheless, those strategies are limited to preclinical models (mostly rodents) and are hampered by the low penetration of photons due to tissue scattering. Moreover, most 2Pi studies are performed in head restrained conditions that limit the behavior repertoire and thus also limiting our understanding of brain circuits.

fUS allows imaging of brain activity based on the small blood flow changes that occur when neurons are active. It is designed for large-scale imaging, and it combines many advantages, including compatibility with awake and freely moving animals, a high spatial resolution (up to 100x100x100 um), a large field of view (up to 3x5 cm), deep imaging (up to 5 cm), a high temporal resolution (up to 100 ms) and a high sensitivity.

Multiplane

Ultrasound hardware

With our academia and industry partners, we are exploring new ultrasound transducer technologies, including thin film, single crystal, silicon technologies c/pMUT, active and passive.

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ultrasound software

Ultrasound software

fUS imaging research is booming, and there is an increasing demand for a standardized analysis workflow. We are developing a dedicated software suite that provides a user-friendly graphical interface to analyze and display data sets.
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Multidisciplinary expertise

The fUSi technology hold great potential. But like for any innovative modality, fUSi hardware/software development and new data analysis must be accompanied by specialists in the field. Moreover, we believe that it is impossible to develop appropriate brain imaging technologies without being a pioneer in neuroscience research because to understand the brain we need more than physics. Therefore, our team unifies multidisciplinary engineers, neuroscientists, and medical doctors to solve technical challenges for improving fUSi in a relevant way for the neuroscience community.

fUS community

We aim to expand fUSI technology by tailoring it to the needs of the scientific community across several fields, research topics, and models. For this purpose, we actively collaborate with a growing network of scientists and key opinion leaders in academics, clinics, and industries across Belgium and abroad (EU, UK, USA, Asia, and South America).

The NERF fUSI community currently consists of over 25 principal investigators and their teams. We also establish direct relationships with stakeholders, including patient associations, research institutes, hospitals, the medical industry, and regulatory authorities in different countries, to better understand market needs.

Image by Micheline Grillet

Are these brain trees the key of our memory?

This filtered picture represents the blood vessels on the top of the right hemisphere of a mouse brain. The image by Micheline Grillet was selected for the Brain’Art Challenge 2018 and exposed at Liège Europa Expo.

Collaborators

Our international network

Department of Biomedical Data SciencesLeiden University Medical Center (LUMC), Netherlands
Neurosurgery Department, LUMC, Netherlands
Neurosurgery Department, University Medical Center (UMC) Utrecht, Netherlands
Medical University of Innsbruck, Austria
Cambridge Neuroscience, University of Cambridge, UK
Institute of Ophthalmology, University College London, UK
Brain and Mind Research Institute, Cornell University, USA
School of Optometry & Vision Science, University of California, Berkeley, USA
Princeton Neuroscience Institute, Princeton University, USA.
Department of Neuroscience, Washington University in St. Louis, USA.
Cold Spring Harbor Laboratory, USA
Department of Neuroscience, San Raffaelle Hospital, Italy
Max Planck Institute for Biological Intelligence, Munich, Germany
Department of Experimental Neurology, Berlin, Germany
Center for the Neurobiology of Learning and Memory, University of California Irvine, USA
Biomedical Imaging and Artificial Intelligence, University of British Columbia, Canada
Department of Electronics, University of Alcalá, Spain
Institute of Cognitive Neuroscience and Psychology, Budapest, Hungary
Brain Institute, University of Rio Grande do Norte, Brasil
Institute of Molecular and Clinical Ophthalmology Basel, Switzerland