Functional brain connectivity as revealed by singular spectrum analysis

Abd-Krim Seghouane; Adnan Shah

doi:10.1109/EMBC.2012.6347162

Functional brain connectivity as revealed by singular spectrum analysis

Abd-Krim Seghouane, Adnan Shah

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

Abstract

Correlation based measures have widely been used to characterize brain connectivity. In this paper, a new approach based on singular spectrum analysis is proposed to characterize brain connectivity. It is obtained by deriving the common basis vector of two or more trajectory matrices associated with functional brain responses. This approach has the advantage illustrating the existence of joint variations of the functional brain responses and to characterize the correlation structure. The performance of the method are illustrated on both simulated autoregressive data and real fMRI data.

Original language	English
Title of host publication	Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
Editors	Michael C. K. Khoo; Gert Cauwenberghs; James Weiland
Place of Publication	Piscataway, New Jersey
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	5186-5189
Edition	Peer Reviewed
ISBN (Print)	9781457717871
DOIs	https://doi.org/10.1109/EMBC.2012.6347162
Publication status	Published - 2012
Event	IEEE International Conference of the Engineering in Medicine and Biology Society (EMBS 2012) - San Diego, USA, United States Duration: 1 Jan 2012 → … http://dx.doi.org/10.1109/EMBC.2012.6347194

Conference

Conference	IEEE International Conference of the Engineering in Medicine and Biology Society (EMBS 2012)
Country/Territory	United States
Period	1/01/12 → …
Other	August 28-September 1 2012
Internet address	http://dx.doi.org/10.1109/EMBC.2012.6347194

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10.1109/EMBC.2012.6347162

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Seghouane, A.-K., & Shah, A. (2012). Functional brain connectivity as revealed by singular spectrum analysis. In M. C. K. K. G. C. J. W. (Ed.), Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS (Peer Reviewed ed., pp. 5186-5189). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/EMBC.2012.6347162

Seghouane, Abd-Krim ; Shah, Adnan. / Functional brain connectivity as revealed by singular spectrum analysis. Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS. editor / Michael C. K. Khoo; Gert Cauwenberghs; James Weiland. Peer Reviewed. ed. Piscataway, New Jersey : Institute of Electrical and Electronics Engineers Inc., 2012. pp. 5186-5189

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title = "Functional brain connectivity as revealed by singular spectrum analysis",

abstract = "Correlation based measures have widely been used to characterize brain connectivity. In this paper, a new approach based on singular spectrum analysis is proposed to characterize brain connectivity. It is obtained by deriving the common basis vector of two or more trajectory matrices associated with functional brain responses. This approach has the advantage illustrating the existence of joint variations of the functional brain responses and to characterize the correlation structure. The performance of the method are illustrated on both simulated autoregressive data and real fMRI data.",

author = "Abd-Krim Seghouane and Adnan Shah",

year = "2012",

doi = "10.1109/EMBC.2012.6347162",

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publisher = "Institute of Electrical and Electronics Engineers Inc.",

address = "United States",

edition = "Peer Reviewed",

note = "IEEE International Conference of the Engineering in Medicine and Biology Society (EMBS 2012) ; Conference date: 01-01-2012",

url = "http://dx.doi.org/10.1109/EMBC.2012.6347194",

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Seghouane, A-K & Shah, A 2012, Functional brain connectivity as revealed by singular spectrum analysis. in MCKKGCJW (ed.), Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS. Peer Reviewed edn, Institute of Electrical and Electronics Engineers Inc., Piscataway, New Jersey, pp. 5186-5189, IEEE International Conference of the Engineering in Medicine and Biology Society (EMBS 2012), United States, 1/01/12. https://doi.org/10.1109/EMBC.2012.6347162

Functional brain connectivity as revealed by singular spectrum analysis. / Seghouane, Abd-Krim; Shah, Adnan.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS. ed. / Michael C. K. Khoo; Gert Cauwenberghs; James Weiland. Peer Reviewed. ed. Piscataway, New Jersey: Institute of Electrical and Electronics Engineers Inc., 2012. p. 5186-5189.

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

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AB - Correlation based measures have widely been used to characterize brain connectivity. In this paper, a new approach based on singular spectrum analysis is proposed to characterize brain connectivity. It is obtained by deriving the common basis vector of two or more trajectory matrices associated with functional brain responses. This approach has the advantage illustrating the existence of joint variations of the functional brain responses and to characterize the correlation structure. The performance of the method are illustrated on both simulated autoregressive data and real fMRI data.

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Seghouane AK, Shah A. Functional brain connectivity as revealed by singular spectrum analysis. In MCKKGCJW, editor, Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS. Peer Reviewed ed. Piscataway, New Jersey: Institute of Electrical and Electronics Engineers Inc. 2012. p. 5186-5189 doi: 10.1109/EMBC.2012.6347162

Functional brain connectivity as revealed by singular spectrum analysis

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