Model-free region of interest based analysis of fMRI data

I. R. Keck; F. J. Theis; P. Gruber; E. W. Lang; J. Churan; C. G. Puntonet

Model-free region of interest based analysis of fMRI data

I. R. Keck, F. J. Theis, P. Gruber, E. W. Lang, J. Churan, C. G. Puntonet

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

Abstract

Blind source separation is beeing established as a new kind of analysis method in the field of fMRI data analysis. Its model-free approach renders it an important tool for investigation. In this article we present a method based on BSS/ICA to create a region of interest (ROI) mask for a BSS based fMRI data analysis. This eliminates a commonly necessary model-based step in fMRI data analysis. We demonstrate our approach on a real world fMRI data set example.

Original language	English
Title of host publication	2006 IEEE Mediterranean Electrotechnical Conference, MELECON 2006 - Circuits and Systems for Signal Processing, lnformation and Communication Technologies, and Power Sources and Systems
Pages	478-481
Number of pages	4
State	Published - 2006
Externally published	Yes
Event	2006 IEEE Mediterranean Electrotechnical Conference, MELECON 2006 - Benalmadena, Malaga, Spain Duration: 16 May 2006 → 19 May 2006

Publication series

Name	Proceedings of the Mediterranean Electrotechnical Conference - MELECON
Volume	2006

Conference

Conference	2006 IEEE Mediterranean Electrotechnical Conference, MELECON 2006
Country/Territory	Spain
City	Benalmadena, Malaga
Period	16/05/06 → 19/05/06

Cite this

Keck, I. R., Theis, F. J., Gruber, P., Lang, E. W., Churan, J., & Puntonet, C. G. (2006). Model-free region of interest based analysis of fMRI data. In 2006 IEEE Mediterranean Electrotechnical Conference, MELECON 2006 - Circuits and Systems for Signal Processing, lnformation and Communication Technologies, and Power Sources and Systems (pp. 478-481). Article 1653142 (Proceedings of the Mediterranean Electrotechnical Conference - MELECON; Vol. 2006).

Keck, I. R. ; Theis, F. J. ; Gruber, P. et al. / Model-free region of interest based analysis of fMRI data. 2006 IEEE Mediterranean Electrotechnical Conference, MELECON 2006 - Circuits and Systems for Signal Processing, lnformation and Communication Technologies, and Power Sources and Systems. 2006. pp. 478-481 (Proceedings of the Mediterranean Electrotechnical Conference - MELECON).

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title = "Model-free region of interest based analysis of fMRI data",

abstract = "Blind source separation is beeing established as a new kind of analysis method in the field of fMRI data analysis. Its model-free approach renders it an important tool for investigation. In this article we present a method based on BSS/ICA to create a region of interest (ROI) mask for a BSS based fMRI data analysis. This eliminates a commonly necessary model-based step in fMRI data analysis. We demonstrate our approach on a real world fMRI data set example.",

author = "Keck, {I. R.} and Theis, {F. J.} and P. Gruber and Lang, {E. W.} and J. Churan and Puntonet, {C. G.}",

year = "2006",

language = "English",

isbn = "1424400872",

series = "Proceedings of the Mediterranean Electrotechnical Conference - MELECON",

pages = "478--481",

booktitle = "2006 IEEE Mediterranean Electrotechnical Conference, MELECON 2006 - Circuits and Systems for Signal Processing, lnformation and Communication Technologies, and Power Sources and Systems",

note = "2006 IEEE Mediterranean Electrotechnical Conference, MELECON 2006 ; Conference date: 16-05-2006 Through 19-05-2006",

}

Keck, IR, Theis, FJ, Gruber, P, Lang, EW, Churan, J & Puntonet, CG 2006, Model-free region of interest based analysis of fMRI data. in 2006 IEEE Mediterranean Electrotechnical Conference, MELECON 2006 - Circuits and Systems for Signal Processing, lnformation and Communication Technologies, and Power Sources and Systems., 1653142, Proceedings of the Mediterranean Electrotechnical Conference - MELECON, vol. 2006, pp. 478-481, 2006 IEEE Mediterranean Electrotechnical Conference, MELECON 2006, Benalmadena, Malaga, Spain, 16/05/06.

Model-free region of interest based analysis of fMRI data. / Keck, I. R.; Theis, F. J.; Gruber, P. et al.
2006 IEEE Mediterranean Electrotechnical Conference, MELECON 2006 - Circuits and Systems for Signal Processing, lnformation and Communication Technologies, and Power Sources and Systems. 2006. p. 478-481 1653142 (Proceedings of the Mediterranean Electrotechnical Conference - MELECON; Vol. 2006).

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

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T1 - Model-free region of interest based analysis of fMRI data

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AU - Theis, F. J.

AU - Gruber, P.

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AU - Churan, J.

AU - Puntonet, C. G.

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AB - Blind source separation is beeing established as a new kind of analysis method in the field of fMRI data analysis. Its model-free approach renders it an important tool for investigation. In this article we present a method based on BSS/ICA to create a region of interest (ROI) mask for a BSS based fMRI data analysis. This eliminates a commonly necessary model-based step in fMRI data analysis. We demonstrate our approach on a real world fMRI data set example.

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AN - SCOPUS:34047113267

SN - 1424400872

SN - 9781424400874

T3 - Proceedings of the Mediterranean Electrotechnical Conference - MELECON

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BT - 2006 IEEE Mediterranean Electrotechnical Conference, MELECON 2006 - Circuits and Systems for Signal Processing, lnformation and Communication Technologies, and Power Sources and Systems

T2 - 2006 IEEE Mediterranean Electrotechnical Conference, MELECON 2006

Y2 - 16 May 2006 through 19 May 2006

ER -

Keck IR, Theis FJ, Gruber P, Lang EW, Churan J, Puntonet CG. Model-free region of interest based analysis of fMRI data. In 2006 IEEE Mediterranean Electrotechnical Conference, MELECON 2006 - Circuits and Systems for Signal Processing, lnformation and Communication Technologies, and Power Sources and Systems. 2006. p. 478-481. 1653142. (Proceedings of the Mediterranean Electrotechnical Conference - MELECON).

Model-free region of interest based analysis of fMRI data

Abstract

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