Improving bioassay sensitivity for neurotoxins detection using volterra based third order nonlinear analysis

Ghassan I. Gholmieh, Spiros H. Courellis, D. Fluster, Lan Chen, V. Z. Marmarelis, M. Baudry, T. W. Berger

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Based on a novel analytical method for analyzing short-term plasticity (STP) of the CA1 hippocampal region in vitro, a screening tool for the detection and classification of unknown chemical compounds affecting the nervous system was recently introduced [1], [2]. The recorded signal consisted of evoked population spike in response to Poisson distributed random train impulse stimuli. The developed analytical approach used the first order Volterra kernel and the Laguerre coefficients of the second order Volterra model as classification features [3]. The biosensor showed encouraging results, and was able to classify out of sample compounds correctly [2]. We have taken an exploratory step to investigate the advantage of introducing a third order model [4]. DAP5, an NMDA channel blocker, did not show major changes in the second order kernel and in its corresponding Laguerre coefficients. Data were reanalyzed using a third order model. DAP5 showed discernable changes in the third order kernel as well as in the some of the corresponding Laguerre coefficients. Hence, the third order Volterra based model has the potential to improve the sensitivity and the discriminatory power of the proposed bioassay.

Original languageEnglish (US)
Title of host publicationAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Pages2261-2264
Number of pages4
DOIs
StatePublished - 2007
Externally publishedYes
Event29th Annual International Conference of IEEE-EMBS, Engineering in Medicine and Biology Society, EMBC'07 - Lyon, France
Duration: Aug 23 2007Aug 26 2007

Other

Other29th Annual International Conference of IEEE-EMBS, Engineering in Medicine and Biology Society, EMBC'07
CountryFrance
CityLyon
Period8/23/078/26/07

Fingerprint

Bioassay
Nonlinear analysis
Chemical compounds
Neurology
Biosensors
Plasticity
Screening

ASJC Scopus subject areas

  • Biomedical Engineering

Cite this

Gholmieh, G. I., Courellis, S. H., Fluster, D., Chen, L., Marmarelis, V. Z., Baudry, M., & Berger, T. W. (2007). Improving bioassay sensitivity for neurotoxins detection using volterra based third order nonlinear analysis. In Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings (pp. 2261-2264). [4352775] https://doi.org/10.1109/IEMBS.2007.4352775

Improving bioassay sensitivity for neurotoxins detection using volterra based third order nonlinear analysis. / Gholmieh, Ghassan I.; Courellis, Spiros H.; Fluster, D.; Chen, Lan; Marmarelis, V. Z.; Baudry, M.; Berger, T. W.

Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings. 2007. p. 2261-2264 4352775.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Gholmieh, GI, Courellis, SH, Fluster, D, Chen, L, Marmarelis, VZ, Baudry, M & Berger, TW 2007, Improving bioassay sensitivity for neurotoxins detection using volterra based third order nonlinear analysis. in Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings., 4352775, pp. 2261-2264, 29th Annual International Conference of IEEE-EMBS, Engineering in Medicine and Biology Society, EMBC'07, Lyon, France, 8/23/07. https://doi.org/10.1109/IEMBS.2007.4352775
Gholmieh GI, Courellis SH, Fluster D, Chen L, Marmarelis VZ, Baudry M et al. Improving bioassay sensitivity for neurotoxins detection using volterra based third order nonlinear analysis. In Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings. 2007. p. 2261-2264. 4352775 https://doi.org/10.1109/IEMBS.2007.4352775
Gholmieh, Ghassan I. ; Courellis, Spiros H. ; Fluster, D. ; Chen, Lan ; Marmarelis, V. Z. ; Baudry, M. ; Berger, T. W. / Improving bioassay sensitivity for neurotoxins detection using volterra based third order nonlinear analysis. Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings. 2007. pp. 2261-2264
@inproceedings{03607a1e99d241b89806f5e7acac5ca2,
title = "Improving bioassay sensitivity for neurotoxins detection using volterra based third order nonlinear analysis",
abstract = "Based on a novel analytical method for analyzing short-term plasticity (STP) of the CA1 hippocampal region in vitro, a screening tool for the detection and classification of unknown chemical compounds affecting the nervous system was recently introduced [1], [2]. The recorded signal consisted of evoked population spike in response to Poisson distributed random train impulse stimuli. The developed analytical approach used the first order Volterra kernel and the Laguerre coefficients of the second order Volterra model as classification features [3]. The biosensor showed encouraging results, and was able to classify out of sample compounds correctly [2]. We have taken an exploratory step to investigate the advantage of introducing a third order model [4]. DAP5, an NMDA channel blocker, did not show major changes in the second order kernel and in its corresponding Laguerre coefficients. Data were reanalyzed using a third order model. DAP5 showed discernable changes in the third order kernel as well as in the some of the corresponding Laguerre coefficients. Hence, the third order Volterra based model has the potential to improve the sensitivity and the discriminatory power of the proposed bioassay.",
author = "Gholmieh, {Ghassan I.} and Courellis, {Spiros H.} and D. Fluster and Lan Chen and Marmarelis, {V. Z.} and M. Baudry and Berger, {T. W.}",
year = "2007",
doi = "10.1109/IEMBS.2007.4352775",
language = "English (US)",
isbn = "1424407885",
pages = "2261--2264",
booktitle = "Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings",

}

TY - GEN

T1 - Improving bioassay sensitivity for neurotoxins detection using volterra based third order nonlinear analysis

AU - Gholmieh, Ghassan I.

AU - Courellis, Spiros H.

AU - Fluster, D.

AU - Chen, Lan

AU - Marmarelis, V. Z.

AU - Baudry, M.

AU - Berger, T. W.

PY - 2007

Y1 - 2007

N2 - Based on a novel analytical method for analyzing short-term plasticity (STP) of the CA1 hippocampal region in vitro, a screening tool for the detection and classification of unknown chemical compounds affecting the nervous system was recently introduced [1], [2]. The recorded signal consisted of evoked population spike in response to Poisson distributed random train impulse stimuli. The developed analytical approach used the first order Volterra kernel and the Laguerre coefficients of the second order Volterra model as classification features [3]. The biosensor showed encouraging results, and was able to classify out of sample compounds correctly [2]. We have taken an exploratory step to investigate the advantage of introducing a third order model [4]. DAP5, an NMDA channel blocker, did not show major changes in the second order kernel and in its corresponding Laguerre coefficients. Data were reanalyzed using a third order model. DAP5 showed discernable changes in the third order kernel as well as in the some of the corresponding Laguerre coefficients. Hence, the third order Volterra based model has the potential to improve the sensitivity and the discriminatory power of the proposed bioassay.

AB - Based on a novel analytical method for analyzing short-term plasticity (STP) of the CA1 hippocampal region in vitro, a screening tool for the detection and classification of unknown chemical compounds affecting the nervous system was recently introduced [1], [2]. The recorded signal consisted of evoked population spike in response to Poisson distributed random train impulse stimuli. The developed analytical approach used the first order Volterra kernel and the Laguerre coefficients of the second order Volterra model as classification features [3]. The biosensor showed encouraging results, and was able to classify out of sample compounds correctly [2]. We have taken an exploratory step to investigate the advantage of introducing a third order model [4]. DAP5, an NMDA channel blocker, did not show major changes in the second order kernel and in its corresponding Laguerre coefficients. Data were reanalyzed using a third order model. DAP5 showed discernable changes in the third order kernel as well as in the some of the corresponding Laguerre coefficients. Hence, the third order Volterra based model has the potential to improve the sensitivity and the discriminatory power of the proposed bioassay.

UR - http://www.scopus.com/inward/record.url?scp=57649170926&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=57649170926&partnerID=8YFLogxK

U2 - 10.1109/IEMBS.2007.4352775

DO - 10.1109/IEMBS.2007.4352775

M3 - Conference contribution

C2 - 18002441

AN - SCOPUS:57649170926

SN - 1424407885

SN - 9781424407880

SP - 2261

EP - 2264

BT - Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings

ER -