111. Renzo Huber: Layer-fMRI, high-resolution fMRI, and the delicate balance between gourmet chef and janitor

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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-patreon
Timestamps
0:00:00: How Renzo got into high-resolution fMRI
0:11:28: The difference between 3T and 7T fMRI
0:22:46: Is a bigger fMRI scanner always better?
0:33:35: Layer-fMRI
0:56:28: For what types of research is layer-fMRI most useful?
1:02:35: How to do layer-fMRI and make it reproducible
1:19:21: The future of layer-fMRI
1:27:02: A book or paper more people should read
1:30:37: Something Renzo wishes he'd learnt sooner
1:33:11: Advice for PhD students/postdocs
Podcast links

Website: https://geni.us/bjks-pod
Twitter: https://geni.us/bjks-pod-twt

Renzo's links

Website: https://geni.us/huber-web
Google Scholar: https://geni.us/huber-scholar
Twitter: https://geni.us/huber-twt

Ben's links

Website: https://geni.us/bjks-web
Google Scholar: https://geni.us/bjks-scholar
Twitter: https://geni.us/bjks-twt

References and links mentioned
Episode with Peter Bandettini: https://geni.us/bjks-bandettini
Episode with Emily Finn: https://geni.us/bjks-finn
Renzo'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.

Chapters

1. How Renzo got into high-resolution fMRI (00:00:00)

2. The difference between 3T and 7T fMRI (00:11:28)

3. Is a bigger MRI scanner always better? (00:22:46)

4. Layer-fMRI (00:33:35)

5. For what types of research is layer-fMRI most useful? (00:56:28)

6. How to do layer-fMRI and make it reproducible (01:02:35)

7. The future of layer-fMRI (01:19:21)

8. A book or paper more people should read (01:27:02)

9. Something Renzo wishes he'd learnt sooner (01:30:37)

10. Advice for PhD students/postdocs (01:33:11)

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