Semi-blind Independent Component Analysis of functional MRI elicited by continuous listening to music

Tuomas Puolivali*, Fengyu Cong, Vinoo Alluri, Qiu-Hua Lin, Petri Toiviainen, Asoke K. Nandi, Elvira Brattico, Tapani Ristaniemi

*Corresponding author af dette arbejde

Publikation: Bidrag til tidsskrift/Konferencebidrag i tidsskrift /Bidrag til avisKonferenceartikelForskningpeer review

Abstract

This study presents a method to analyze blood-oxygen-level-dependent (BOLD) functional magnetic resonance imaging (tMRI) signals associated with listening to continuous music. Semi-blind independent component analysis (ICA) was applied to decompose the tMRI data to source level activation maps and their respective temporal courses. The unmixing matrix in the source separation process of ICA was constrained by a variety of acoustic features derived from the piece of music used as the stimulus in the experiment. This allowed more stable estimation and extraction of more activation maps of interest compared to conventional ICA methods.

OriginalsprogEngelsk
TidsskriftInternational Conference on Acoustics Speech and Signal Processing ICASSP
Sider (fra-til)1310-1314
Antal sider5
ISSN1520-6149
StatusUdgivet - 2013
BegivenhedIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) - , Canada
Varighed: 26 maj 201331 maj 2013

Konference

KonferenceIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
Land/OmrådeCanada
Periode26/05/201331/05/2013

Fingeraftryk

Dyk ned i forskningsemnerne om 'Semi-blind Independent Component Analysis of functional MRI elicited by continuous listening to music'. Sammen danner de et unikt fingeraftryk.

Citationsformater