[Repronim-announcement] December ReproNim Webinar and Office Hours

[Bates, Julianna (Julie)]

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ReproNim: A Center for Reproducible Neuroimaging Computation


ReproNim 'First Thursdays’ Virtual Drop-In Office Hours  - Thursday, December 4, 2025 at 1pm Eastern Time

All are welcome to our ReproNim Office Hours Program! Do you have a reproducibility question, challenge, or problem?

Join us for Virtual Drop-in Office Hours, Thursday December 4th (1-2pm ET).
Register Here<https://umassmed.zoom.us/meeting/register/mz3UbrqyRY2hRND3IBp8Hg> for our new Meeting Link for Office Hours (please note change)

ReproNim Office Hours are open to all; it is an opportunity to address reproducibility questions of all sorts and at any level of expertise.

-If you have any difficulty connecting, please email David Kennedy (david.kennedy at umassmed.edu<mailto:david.kennedy at umassmed.edu>) or Julie Bates (julianna.bates at umassmed.edu<mailto:julianna.bates at umassmed.edu>)


ReproNim 'First Fridays' Webinar – Friday, December 5, at 2pm Eastern Time

Greetings All!

Join us for a joint presentation by Catie Chang<https://engineering.vanderbilt.edu/bio/catie-chang/> and Roza Bayrak<https://rgbayrak.github.io/> to discuss how time-varying states of allotment and autonomic activity manifest in fMRI signals, along with tools/methods for join analysis of fMRI and peripheral physiological signals.

Title: “Dynamic brain-body states: implications for reproducible and Interpretable neuroimaging.”
Speakers: Catie Chang<https://engineering.vanderbilt.edu/bio/catie-chang/> (Vanderbilt University, Departments of Electrical & Computer Engineering, Computer Science, and Biomedical Engineering), and Roza Bayrak<https://rgbayrak.github.io/> (Vanderbilt University, Departments of Electrical & Computer Engineering).
Webinar Registration<https://umassmed.zoom.us/meeting/register/mhxcAm_7R_msH3__kO0Lgg> (please note our new webinars registration link).

Catie is the Sally and Dave Hopkins Faculty, and Assistant Professor (Departments of Computer Science and Electrical & Computer Engineering). Work in her neurdylab<https://www.cchanglab.net/research> includes analysis of large-scale brain activity, AI signal processing for multimodal integration and analysis, state-dependent brain activity, and fundamental aspects of fMRI signals and neural networks. Roza is a Senior Research Engineer and Research Assistant Professor (Electrical & Computer Engineering) at Vanderbilt. Her research is focused on large scale neuroimaging data analysis, and she has been leading several directions on fMRI+physiological analysis and quality assurance, and all with deep commitments to Open Science and Reproducible Research Practices.






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