Analysis Of Nociceptive Evoked Potentials During Multi-Stimulus Experiments Using Linear Mixed Models

B. van den Berg; J.R. Buitenweg

doi:10.1109/EMBC.2018.8513032

Analysis Of Nociceptive Evoked Potentials During Multi-Stimulus Experiments Using Linear Mixed Models

B. van den Berg, J.R. Buitenweg

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

8 Citations (Scopus)

19 Downloads (Pure)

Abstract

Neural processing of sensory stimuli can be studied using EEG by estimation of the evoked potential using the averages of large sets of trials. However, it is not always possible to include all stimulus parameters in a conventional analysis, since this would lead to an insufficient amount of trials to obtain the evoked potential by averaging. Linear mixed models use dependencies within the data to combine information from all data for the estimation of the evoked potential. In this work, it is shown that in multi-stimulus EEG data the quality of an evoked potential estimate can be improved by using a linear mixed model. Furthermore, the linear mixed model effectively deals with correlation between parameters in the data and reveals the influence of individual stimulus parameters.

Original language	English
Title of host publication	2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
Publisher	IEEE
Pages	3048
Number of pages	3051
ISBN (Electronic)	978-1-5386-3646-6
ISBN (Print)	978-1-5386-3647-3
DOIs	https://doi.org/10.1109/EMBC.2018.8513032
Publication status	Published - 29 Oct 2018
Event	40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018 - Hawaii Convention Center, Honolulu, United States Duration: 17 Jul 2018 → 21 Jul 2018 Conference number: 40 https://embc.embs.org/2018/

Conference

Conference	40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018
Abbreviated title	EMBC 2018
Country/Territory	United States
City	Honolulu
Period	17/07/18 → 21/07/18
Internet address	https://embc.embs.org/2018/

Access to Document

10.1109/EMBC.2018.8513032

8 Citations
1 PhD Thesis - Research UT, graduation UT

Combined Psychophysical and Neurophysiological Tools for Mechanism-Based Observation of Impaired Nociceptive Processing
van den Berg, B., 14 Apr 2022, Enschede: University of Twente. 442 p.
Research output: Thesis › PhD Thesis - Research UT, graduation UT

Open Access
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245 Downloads (Pure)

Cite this

@inproceedings{089884d453a24387a8f27a64c7fc166d,

title = "Analysis Of Nociceptive Evoked Potentials During Multi-Stimulus Experiments Using Linear Mixed Models",

abstract = "Neural processing of sensory stimuli can be studied using EEG by estimation of the evoked potential using the averages of large sets of trials. However, it is not always possible to include all stimulus parameters in a conventional analysis, since this would lead to an insufficient amount of trials to obtain the evoked potential by averaging. Linear mixed models use dependencies within the data to combine information from all data for the estimation of the evoked potential. In this work, it is shown that in multi-stimulus EEG data the quality of an evoked potential estimate can be improved by using a linear mixed model. Furthermore, the linear mixed model effectively deals with correlation between parameters in the data and reveals the influence of individual stimulus parameters.",

author = "{van den Berg}, B. and J.R. Buitenweg",

year = "2018",

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doi = "10.1109/EMBC.2018.8513032",

language = "English",

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pages = "3048",

booktitle = "2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)",

publisher = "IEEE",

address = "United States",

note = "40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018, EMBC 2018 ; Conference date: 17-07-2018 Through 21-07-2018",

url = "https://embc.embs.org/2018/",

}

van den Berg, B & Buitenweg, JR 2018, Analysis Of Nociceptive Evoked Potentials During Multi-Stimulus Experiments Using Linear Mixed Models. in 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, pp. 3048, 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018, Honolulu, Hawaii, United States, 17/07/18. https://doi.org/10.1109/EMBC.2018.8513032

Analysis Of Nociceptive Evoked Potentials During Multi-Stimulus Experiments Using Linear Mixed Models. / van den Berg, B.; Buitenweg, J.R.
2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2018. p. 3048.

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

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AU - Buitenweg, J.R.

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PY - 2018/10/29

Y1 - 2018/10/29

N2 - Neural processing of sensory stimuli can be studied using EEG by estimation of the evoked potential using the averages of large sets of trials. However, it is not always possible to include all stimulus parameters in a conventional analysis, since this would lead to an insufficient amount of trials to obtain the evoked potential by averaging. Linear mixed models use dependencies within the data to combine information from all data for the estimation of the evoked potential. In this work, it is shown that in multi-stimulus EEG data the quality of an evoked potential estimate can be improved by using a linear mixed model. Furthermore, the linear mixed model effectively deals with correlation between parameters in the data and reveals the influence of individual stimulus parameters.

AB - Neural processing of sensory stimuli can be studied using EEG by estimation of the evoked potential using the averages of large sets of trials. However, it is not always possible to include all stimulus parameters in a conventional analysis, since this would lead to an insufficient amount of trials to obtain the evoked potential by averaging. Linear mixed models use dependencies within the data to combine information from all data for the estimation of the evoked potential. In this work, it is shown that in multi-stimulus EEG data the quality of an evoked potential estimate can be improved by using a linear mixed model. Furthermore, the linear mixed model effectively deals with correlation between parameters in the data and reveals the influence of individual stimulus parameters.

U2 - 10.1109/EMBC.2018.8513032

DO - 10.1109/EMBC.2018.8513032

M3 - Conference contribution

SN - 978-1-5386-3647-3

SP - 3048

BT - 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

PB - IEEE

T2 - 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018

Y2 - 17 July 2018 through 21 July 2018

ER -

Analysis Of Nociceptive Evoked Potentials During Multi-Stimulus Experiments Using Linear Mixed Models

Abstract

Conference

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Research output

Combined Psychophysical and Neurophysiological Tools for Mechanism-Based Observation of Impaired Nociceptive Processing

Cite this