DRCMR eprints
E-print repository for the Danish Research Centre for Magnetic Resonance
This archive contains selected articles and texts, mostly from the DRCMR publication list

Shift Invariant Multilinear Decomposition of Neuroimaging Data

Mørup, Morten and Hansen, Lars K and Arnfred, Sidse M and Lim, Lek-Heng and Madsen, Kristoffer H (2008) Shift Invariant Multilinear Decomposition of Neuroimaging Data. Neuroimage, 42 (4). pp. 1439-1450.

PDF - Accepted Version

Official URL: http://dx.doi.org/10.1016/j.neuroimage.2008.05.062


We present an algorithm for multilinear decomposition that allows for arbitrary shifts along one modality. The method is applied to neural activity arranged in the three modalities space, time, and trial. Thus, the algorithm models neural activity as a linear superposition of components with a fixed time course that may vary across either trials or space in its overall intensity and latency. Its utility is demonstrated on simulated data as well as actual EEG, and fMRI data. We show how shift-invariant multilinear decompositions of multiway data can successfully cope with variable latencies in data derived from neural activity--a problem that has caused degenerate solutions especially in modeling neuroimaging data with instantaneous multilinear decompositions. Our algorithm is available for download at www.erpwavelab.org.

Item Type:Article
Subjects:Information Science > Computing Methodologies > Signal Processing, Computer-Assisted
Investigative Techniques > Brain Mapping
Divisions:Technical University of Denmark > Department of Informatics and Mathematical Modeling
Copenhagen University Hospital Hvidovre > Danish Research Centre for Magnetic Resonance
ID Code:29
Deposited By:Kristoffer Hougaard Madsen
Deposited On:09 Feb 2009 09:30
Last Modified:02 Apr 2010 10:37

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