This event is part of Connectomics View Details

Connectomics, Non-Euclidean data, and Statistics: Tutorial and Hands-on

Description

Back to top

This workshop serves as the opening session of the program, providing an overview of connectomics and its integration with functional and imaging data analysis. Designed to highlight the transformative potential of connectomics in neuroscience, the session will explore how non-Euclidean data representations like graphs and networks facilitate a deeper understanding of brain network organization and its role in health and disease. Researchers will discuss pressing medical challenges, such as early detection of neurological disorders and the development of targeted treatments, while introducing advanced methodologies tailored to the analysis of complex neural data.

The workshop will feature a combination of tutorials and hands-on sessions, offering participants practical insights into statistical techniques and computational tools for analyzing functional and imaging datasets. Topics will include connectomics, functional data analysis, imaging data analysis, and non-Euclidean data analysis, with real-world case studies illustrating applications in conditions such as ADHD, autism, and Alzheimer’s disease. Attendees will leave equipped with a robust understanding of key concepts and actionable skills to process, analyze, and interpret brain connectivity data effectively.

In-Person Registration

Seats are limited at the venue, which means that in-person registration may be capped prior to the workshop start date. If capacity is reached, a waitlist will be imposed, which the registration form will reflect. Early registration is strongly encouraged.

All in-person registrants must wait to receive an invitation to attend in-person from IMSI before traveling, which generally begin to be sent out 4-6 weeks in advance.

All registrants (online and in-person) will receive zoom links and are welcome to attend online.

Registration Fee

A non-refundable registration fee will be payable by credit card or debit card for any participants invited to attend this workshop in-person. In-person participants agree to pay the non-refundable fee by the deadline given by IMSI. Failure to pay the fee by the deadline may mean that the invitation to attend in-person is revoked.

Current fees:

  • $25 for students
  • $50 for non-students

Organizers

Back to top
A L
Alex Leow University of Illinois Chicago
D S
Damla Senturk University of California, Los Angles
Y W
Yichao Wu University of Illinois Chicago
E Z
Emma Zhang Emory University

Speakers

Back to top
O A
Olusola Ajilore University of Illinois Chicago
T A
Teddy Akiki Stanford University
B C
Brian Caffo John Hopkins University
M C
Moo Chung University of Wisconsin
M F
Mark Fiecas University of Minnesota
Y G
Ying Guo Emory University
N J
Neda Jahanshad University of Southern California
J K
Jian Kang University of Michigan
L L
Lexin Li University of California at Berkeley
M L
Martin Lindquist John Hopkins University
A M
A.F. Marquand Radboud Universiteit
H M
Hans-Georg Mueller University of California, Davis
P M
Pratik Mukherjee University of California, San Francisco
H O
Hernando Ombao King Abdullah University of Science and Technology
B R
Benjamin Risk Emory University
D S
Damla Senturk University of California, Los Angles
J W
Jane-Ling Wang University of California, Davis
M W
Minjie Wu University of Pittsburgh Medical Center
E Z
Emma Zhang Emory University
K Z
Kai Zhang University of North Carolina at Chapel Hill
Y Z
Yanfu Zhang College of William and Mary

Schedule

Monday, September 14, 2026
8:30-8:55 CDT
Check-in/Breakfast
8:55-9:00 CDT
Welcome Remarks
9:00-9:45 CDT
Introduction to Functional Data Analysis and Its Role in the Age of AI

Speaker: Jane-Ling Wang (University of California, Davis (UC Davis))

9:45-10:00 CDT
Q&A
10:00-10:05 CDT
Tech Break
10:05-10:50 CDT
TBA

Speaker: Hernando Ombao (KAUST)

10:50-11:05 CDT
Q&A
11:05-11:35 CDT
Coffee Break
11:35-12:20 CDT
TBA

Speaker: A.F. Marquand (Radboud Universiteit)

12:20-12:35 CDT
Q&A
12:35-13:35 CDT
Lunch Break
13:35-14:20 CDT
Fréchet Regression

Speaker: Hans-Georg Mueller (University of California, Davis (UC Davis))

14:20-14:35 CDT
Q&A
14:35-15:35 CDT
Social Hour
Tuesday, September 15, 2026
8:30-9:00 CDT
Breakfast
9:00-9:45 CDT
An Overview of Statistical Connectomics

Speaker: Brian Caffo (Johns Hopkins University)

9:45-10:00 CDT
Q&A
10:00-10:05 CDT
Tech Break
10:05-10:50 CDT
TBA

Speaker: Mark Fiecas (University of Minnesota, Twin Cities)

10:50-11:05 CDT
Q&A
11:05-11:35 CDT
Coffee Break
11:35-12:20 CDT
Current Topics in Multi-Study Data Integration

Speaker: Neda Jahanshad (University of Southern California (USC))

12:20-12:35 CDT
Q&A
12:35-13:35 CDT
Lunch Break
13:35-14:20 CDT
TBA

Speaker: Pratik Mukherjee (University of California, San Francisco (UCSF))

14:20-14:35 CDT
Q&A
14:35-15:00 CDT
Coffee Break
15:00-15:45 CDT
Estimating resting-state and task-based functional connectivity in autism spectrum disorder

Speaker: Benjamin Risk (Emory University)

15:45-16:00 CDT
Q&A
Wednesday, September 16, 2026
8:30-9:00 CDT
Breakfast
9:00-9:45 CDT
Individualized spatial topography in functional neuroimaging

Speaker: Martin Lindquist (Johns Hopkins University)

9:45-10:00 CDT
Q&A
10:00-10:05 CDT
Tech Break
10:05-10:50 CDT
BSNMINI: Bayesian scalar-on-network regression with manifold learning

Speaker: Jian Kang (University of Michigan)

10:50-11:05 CDT
Q&A
11:05-11:35 CDT
Coffee Break
11:35-12:20 CDT
Network response regressions in neuroimaging

Speaker: Emma Zhang (Emory University)

12:20-12:35 CDT
Q&A
12:35-13:35 CDT
Lunch Break
13:35-14:20 CDT
Wasserstein Boxplots for the Analysis of EEG Power Spectral Densities with Applications to Autism

Speaker: Damla Senturk (University of California, Los Angeles (UCLA))

14:20-14:35 CDT
Q&A
14:35-15:00 CDT
Coffee Break
15:00-15:45 CDT
TBA

Speaker: Alexander Petersen (Brigham Young University)

15:45-16:00 CDT
Q&A
Thursday, September 17, 2026
8:30-9:00 CDT
Breakfast
9:00-9:45 CDT
Structural Memorization in Large Language Models: Advances and Applications in Medical Contexts

Speaker: Yanfu Zhang (College of William and Mary)

9:45-10:00 CDT
Q&A
10:00-10:05 CDT
Tech Break
10:05-10:50 CDT
A Regularized Blind Source Separation Framework for Unveiling Latent Sources of the Brain Connectome

Speaker: Ying Guo (Emory University)

10:50-11:05 CDT
Q&A
11:05-11:35 CDT
Coffee Break
11:35-12:20 CDT
Integrating Statistics and AI for Neuroscience Research

Speaker: Lexin Li (University of California, Berkeley (UC Berkeley))

12:20-12:35 CDT
Q&A
12:35-13:35 CDT
Lunch Break
13:35-14:20 CDT
Tutorial on Topological Data Analysis

Speaker: Moo Chung (University of Wisconsin, Madison)

14:20-14:35 CDT
Q&A
14:35-15:00 CDT
Coffee Break
15:00-15:45 CDT
TBA

Speaker: Teddy Akiki (Stanford University)

15:45-16:00 CDT
Q&A
Friday, September 18, 2026
8:30-9:00 CDT
Breakfast
9:00-9:45 CDT
Connectomics Applications for Precision Psychiatry

Speaker: Olusola Ajilore (University of Illinois at Chicago)

9:45-10:00 CDT
Q&A
10:00-10:05 CDT
Tech Break
10:05-10:50 CDT
Beyond Mean Shifts: Robust Genome-Wide Association for Non-Gaussian Phenotypes via DiscreteBET

Speaker: Kai Zhang (University of North Carolina, Chapel Hill)

10:50-11:05 CDT
Q&A
11:05-11:35 CDT
Coffee Break
11:35-12:20 CDT
TBA

Speaker: Minjie Wu (University of Pittsburgh Medical Center)

12:20-12:35 CDT
Q&A
12:35-12:45 CDT
Workshop Survey and Closing Remarks

Registration

IMSI is committed to making all of our programs and events inclusive and accessible. Contact [email protected] to request disability-related accommodations.

In order to register for this workshop, you must have an IMSI account and be logged in.