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Dear colleagues,

We are pleased to invite you to the *DPABI Brain Imaging Basics Online Training Camp (English)*, taking place online on *December 14–18, 2026*.

Led by *Dr. Chao-Gan Yan, Professor at Tsinghua University and developer of DPABI, DPABISurf and DPARSF*, this five-day course combines methodological foundations with guided hands-on practice in resting-state fMRI analysis, covering both volume-based and cortical surface-based workflows.

The camp welcomes researchers, clinicians and students who are new to brain imaging or would like structured guidance in using these tools. *No prior programming experience is required for the core graphical-interface exercises.* Participants are encouraged to bring their research questions and may use their own appropriately de-identified datasets for project discussions.

*Programme at a glance*

- *Dec 14:* Resting-state fMRI foundations, research applications and project introductions. - *Dec 15:* Data organization, preprocessing with DPARSF, and an introduction to surface-based analysis with DPABISurf. - *Dec 16:* Quality control, animal data processing, group-level statistics, multiple-comparison correction and results visualization. - *Dec 17:* Hands-on practice with DPABISurf and DPABI, including analysis of participants’ own datasets. - *Dec 18:* Multisite harmonization, gradient analysis, advanced DPABISurf and participant project presentations.

*Course details*

- *Format:* Live online lectures, software demonstrations, hands-on practice and project discussions, all in *English*. - *Dates:* December 14–18, 2026. - *Time:* 09:00–12:00 Beijing time (UTC+8) each day; 15 scheduled hours in total. - *North American times:* December 13–17, 20:00–23:00 EST / 17:00–20:00 PST.

*Registration, **Full programme and International Session Times**:* https://secure-web.cisco.com/1SWT5ZFsFaPAWFkgBYzwe-htpe8rXvbXd9PHYqUvuRc6De_...

For enquiries, please contact rfmrilab@gmail.com.

We look forward to welcoming you and discussing your research projects. Please feel free to share this announcement with colleagues and students who may be interested. Best, Chao-Gan