Renzo Huber is a staff scientist at NIH. We talk about his work on layer-fMRI: what it  is, how Renzo got into it, how to do it, when it makes sense to do it, what the future holds, and much more.Support the show: https://geni.us/bjks-patreonTimestamps0:00:00: How Renzo got into high-resolution fMRI0:11:28: The difference between 3T and 7T fMRI0:22:46: Is a bigger fMRI scanner always better?0:33:35: Layer-fMRI0:56:28: For what types of research is layer-fMRI most useful?1:02:35: How to do layer-fMRI and make it reproducible1:19:21: The future of layer-fMRI1:27:02: A book or paper more people should read1:30:37: Something Renzo wishes he'd learnt sooner1:33:11: Advice for PhD students/postdocsPodcast linksWebsite: https://geni.us/bjks-podTwitter: https://geni.us/bjks-pod-twtRenzo's linksWebsite: https://geni.us/huber-webGoogle Scholar: https://geni.us/huber-scholarTwitter: https://geni.us/huber-twtBen's linksWebsite: https://geni.us/bjks-webGoogle Scholar: https://geni.us/bjks-scholarTwitter: https://geni.us/bjks-twtReferences and links mentionedEpisode with Peter Bandettini: https://geni.us/bjks-bandettiniEpisode with Emily Finn: https://geni.us/bjks-finnRenzo's blog about layer fMRI: https://layerfmri.com/YouTube channel on layer fMRI: https://www.youtube.com/@layerfmri/Bastos, ... & Friston (2012). Canonical microcircuits for predictive coding. Neuron.Bollmann & Barth (2021). New acquisition techniques and their prospects for the achievable resolution of fMRI. Progress in Neurobiology.Boulant, ... & Le Bihan (2024). In vivo imaging of the human brain with the Iseult 11.7-T MRI scanner. Nature Methods.Finn, ... & Bandettini (2019). Layer-dependent activity in human prefrontal cortex during working memory. Nature Neuroscience.Feynman (1985). "Surely you're joking, Mr. Feynman!": adventures of a curious character.Haarsma, Kok & Browning (2022). The promise of layer-specific neuroimaging for testing predictive coding theories of psychosis. Schizophrenia Research.Huber, ... & Bandettini (2017). High-resolution CBV-fMRI allows mapping of laminar activity and connectivity of cortical input and output in human M1. Neuron.Huber, ... & Möller (2019). Non-BOLD contrast for laminar fMRI in humans: CBF, CBV, and CMRO2. Neuroimage.Huber, ... & Bandettini (2020). Sub-millimeter fMRI reveals multiple topographical digit representations that form action maps in human motor cortex. Neuroimage.Huber, ... & Kronbichler (2023). Evaluating the capabilities and challenges of layer-fMRI VASO at 3T. Aperture Neuro.Huber, ... & Horovitz (2023). Laminar VASO fMRI in focal hand dystonia patients. Dystonia.Persichetti, ... & Martin (2020). Layer-specific contributions to imagined and executed hand movements in human primary motor cortex. Current Biology.Polimeni, ... & Wald (2010). Laminar analysis of 7 T BOLD using an imposed spatial activation pattern in human V1. Neuroimage.

Ver todos los episodios