A guide to events on our campuses.

Assembly Series

A tradition of convening thought leaders since 1953

McKelvey School of Engineering

Brown School

WUNIC Seminar Series: Correlated Noise and its Implications for Functional Connectivity Estimation and Machine Learning Model Interpretation

Wednesday, May 31, 2023 | 10:00 AM

Virtual Event

Abstract: Multi-channel neuroimaging data, including magneto- and encephalography (M/EEG), often display a rich correlation structure. These correlations can be leveraged by multivariate machine learning methods (also known as decoding or MVPA) to improve predictions by maximizing signal-to-noise ratio. However, the correct interpretation of multivariate models is hindered by noise correlations, which can lead to wrong conclusion about the brain. We illustrate this problem using simple examples and propose a remedy for linear methods. Moreover, we emphasize the implications for non-linear methods and demonstrate that so-called "explainable artificial intelligence" methods can lead to severe misinterpretations. In the second part of the talk, we discuss the influence of correlations on M/EEG functional connectivity (FC) estimates. Unlike in fMRI, instantaneous correlations in M/EEG data do not serve as proxy for brain interactions as they can trivially arise from electrical volume conduction in the head. Instead, robust FC metrics that require non-zero time-delays are needed. We present robust metrics to quantify directed and non-directed brain interactions, and we highlight their possible use as informative markers of brain function.

This is a virtual talk.

Zoom details are listed below:

Join Zoom Meeting
wustl-hipaa.zoom.us/j/95886033035?pwd=M20zMkRTTzEwNmJwTnV0UFlEK3Fsdz09

Meeting ID: 958 8603 3035
Passcode: 890962

One tap mobile
+13052241968,,95886033035#,,,,*890962# US
+13092053325,,95886033035#,,,,*890962# US

Dial by your location
+1 305 224 1968 US
+1 309 205 3325 US
+1 312 626 6799 US (Chicago)
+1 646 558 8656 US (New York)
+1 646 931 3860 US
+1 301 715 8592 US (Washington DC)
+1 719 359 4580 US
+1 253 205 0468 US
+1 253 215 8782 US (Tacoma)
+1 346 248 7799 US (Houston)
+1 360 209 5623 US
+1 386 347 5053 US
+1 507 473 4847 US
+1 564 217 2000 US
+1 669 444 9171 US
+1 669 900 9128 US (San Jose)
+1 689 278 1000 US
Meeting ID: 958 8603 3035
Passcode: 890962
Find your local number: wustl-hipaa.zoom.us/u/ab4QoBtuJt

Schools

Arts & Sciences

Website

https://artsci.wustl.edu/events/wunic...

Event Contact

math@wustl.edu

Speaker Information
Speaker: Dr. Stefan Haufe, Technische Universitat Berlin / joint appointment with the Physikalisch-Technische Bundesanstalt Berlin
Subscribe
Google Calendar iCal Outlook

Discussion