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

doi:10.1109/ICASSP.2013.6637863

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

Department of Neuroscience and Biomedical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

5 Citations (Scopus)

Abstract

This study presents a method to analyze blood-oxygen-level-dependent (BOLD) functional magnetic resonance imaging (fMRI) signals associated with listening to continuous music. Semi-blind independent component analysis (ICA) was applied to decompose the fMRI 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.

Original language	English
Title of host publication	2013 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013 - Proceedings
Pages	1310-1314
Number of pages	5
DOIs	https://doi.org/10.1109/ICASSP.2013.6637863
Publication status	Published - 18 Oct 2013
MoE publication type	A4 Article in a conference publication
Event	IEEE International Conference on Acoustics, Speech, and Signal Processing - Vancouver, Canada Duration: 26 May 2013 → 31 May 2013 Conference number: 38

Publication series

Name	International Conference on Acoustics Speech and Signal Processing ICASSP
ISSN (Print)	1520-6149

Conference

Conference	IEEE International Conference on Acoustics, Speech, and Signal Processing
Abbreviated title	ICASSP
Country/Territory	Canada
City	Vancouver
Period	26/05/2013 → 31/05/2013

Keywords

acoustic features
functional magnetic
independent component analysis
natural music
resonance imaging
semiblind

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10.1109/ICASSP.2013.6637863

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Puolivali, T., Cong, F., Alluri, V., Lin, Q. H., Toiviainen, P., Nandi, A. K., Brattico, E., & Ristaniemi, T. (2013). Semi-blind independent component analysis of functional MRI elicited by continuous listening to music. In 2013 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013 - Proceedings (pp. 1310-1314). [6637863] (International Conference on Acoustics Speech and Signal Processing ICASSP). https://doi.org/10.1109/ICASSP.2013.6637863

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abstract = "This study presents a method to analyze blood-oxygen-level-dependent (BOLD) functional magnetic resonance imaging (fMRI) signals associated with listening to continuous music. Semi-blind independent component analysis (ICA) was applied to decompose the fMRI 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.",

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author = "Tuomas Puolivali and Fengyu Cong and Vinoo Alluri and Lin, {Qiu Hua} and Petri Toiviainen and Nandi, {Asoke K.} and Elvira Brattico and Tapani Ristaniemi",

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Puolivali, T, Cong, F, Alluri, V, Lin, QH, Toiviainen, P, Nandi, AK, Brattico, E & Ristaniemi, T 2013, Semi-blind independent component analysis of functional MRI elicited by continuous listening to music. in 2013 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013 - Proceedings., 6637863, International Conference on Acoustics Speech and Signal Processing ICASSP, pp. 1310-1314, IEEE International Conference on Acoustics, Speech, and Signal Processing , Vancouver, Canada, 26/05/2013. https://doi.org/10.1109/ICASSP.2013.6637863

Semi-blind independent component analysis of functional MRI elicited by continuous listening to music. / Puolivali, Tuomas; Cong, Fengyu; Alluri, Vinoo et al.

2013 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013 - Proceedings. 2013. p. 1310-1314 6637863 (International Conference on Acoustics Speech and Signal Processing ICASSP).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

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AU - Nandi, Asoke K.

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Puolivali T, Cong F, Alluri V, Lin QH, Toiviainen P, Nandi AK et al. Semi-blind independent component analysis of functional MRI elicited by continuous listening to music. In 2013 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013 - Proceedings. 2013. p. 1310-1314. 6637863. (International Conference on Acoustics Speech and Signal Processing ICASSP). doi: 10.1109/ICASSP.2013.6637863

Semi-blind independent component analysis of functional MRI elicited by continuous listening to music

Abstract

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Keywords

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Semi-blind independent component analysis of functional MRI elicited by continuous listening to music

Abstract

Publication series

Conference

Keywords

Access to Document

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Fingerprint

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Aalto Neuroimaging Infrastructure

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