Between 2019 and 2022, Renzo was an assistant Professor and VENI-Fellow in MR-Methods, Cognitive Neuroscience, Maastricht Brain Imaging Center, Faculty of Psychology and Neuroscience, University of Maastricht. In November 2022, Renzo joined the Functional Magnetic Resonance Facility at the National Institutes of Health in Bethesda MD, USA as a Staff scientist. New lab site: https://cmn.nimh.nih.gov/Renzo.

Email: renzohuber@gmail.com

Address in Bethesda:
National Institute of Mental Health
Building 10, Room 1D8010
10 Center Drive, MSC 1148
Bethesda, MD 20892-1148
USA

Former address in Maastricht:
Cognitive Neuroscience,
Oxfordlaan 55,
6229 EV Maastricht,
The Netherlands

About Renzo

Renzo received his doctoral degree in physics at the Max Planck Institute for Human Cognitive and Brain Sciences in Leipzig, Germany in 2015 working with Bob Turner and Harald Moeller. Between 2015 and 2018, he did his Post-Doc work with Peter Bandettini at NIH focusing on developing methods to map brain functional activity changes at sub-millimeter scales in humans.
Since January 2019, Renzo has been doing a VENI-fellowship in the MR-methods group headed by Benedikt Poser in Maastricht. In this VENI project and in his new role at NIH, he is working on improving the applicability of layer-fMRI. Specifically, he is working on methods to measure the information flow through the brain non-invasively with ultra-high field MRI.
Renzo’s interests focus on:

• High-resolution fMRI method development.
• Whole brain layer-fMRI.
• Layer-specific (f)MRI.
• Functional mapping of blood volume.
• Advanced fMRI readouts: multi-echo imaging, SMS-imaging and 3D-EPI imaging,
• Open science (open sequences, open data, open analysis),
• Curating and presenting good standards of high-resolution acquisition, reconstruction and processing.

Current projects

• Together with Kenshu Koiso, we aim to find stable imaging protocols of whole brain layer-fMRI and explore the their usability for neuroscience-focused analysis methods (preprint here).
• Together with Silvina Horovitz, we explore the usability of layer-fMRI methodology in clinical settings (preprint here).
• Together with Lonike Faes and Federico de Martino, we are working on layer-fMRI imaging in the Auditory cortex (preprint here).
• I explore the possibilities of layer-fMRI for whole brain connectivity (acquisition and analysis). My recent paper describing potential approaches is here.
• I am trying to characterice and validate the signal source of laminar fMRI by means of multi-modal inter-species comparisons. This work is done in collaborations with Aneurin Kennerley and is described here.
• I am determining the usability of blood volume layer-fMRI at 3 Tesla as described here.
• I am developing a software suite that is dedicated to layer-fMRI, LayNii. This is done together with Faruk Gulban and described here.

Online presence

• On Twitter, I am writing about layerfMRI.
• On Github, I am writing a standalone layering software LAYNII.
• On the blog layerfMRI.com, I am writing about layer-fMRI topics such as acquisition, analyses and research field.
• On Youtube, I am collecting scientific talks on high-resolution and layer fMRI in the layerfMRI channel.

Publications

• Pubmed
• Google Scholar
• PhD Thesis

Curriculum Vitae