Online Program Home
My Program

Abstract Details

Activity Number: 52
Type: Invited
Date/Time: Sunday, July 31, 2016 : 4:00 PM to 5:50 PM
Sponsor: ENAR
Abstract #318422 View Presentation
Title: A Multiresolution Model for Activation and Connectivity in fMRI Data with Functional Estimation of the Haemodynamic Response
Author(s): Stefano Castruccio* and Hernando Ombao and Thomas Theussl and Marc Genton
Companies: Newcastle University and University of California at Irvine and King Abdullah University of Science and Technology and KAUST
Keywords: fMRI ; voxel activation ; graphical LASSO ; space-time model ; covariance matrix ; big data

We introduce a scalable, multi-resolution spatio-temporal model and a computationally efficient methodology to estimate task-related motor activation and whole-brain connectivity with the aim of monitoring motor function recovery of stroke patients. The proposed model allows to test for voxel-specific activation of Blood-Oxygen-Level-Dependent response while accounting for a non-stationary local spatial dependence within pre-specified Regions Of Interest (ROIs), as well as global (among ROIs) dependence. The model allows for flexible functional estimation of the region-specific haemodynamic response and is able to detect activation patterns among ROIs via graphical LASSO estimation of the inverse covariance matrix. Inference is performed on an fMRI data set with 150,000 voxels per time frame, for a total of 22 million data points, which a multi-step methodology explicitly designed to scale on high performance clusters.

Authors who are presenting talks have a * after their name.

Back to the full JSM 2016 program

Copyright © American Statistical Association