The Effects of Filter’s Class, Cutoff Frequencies, and Independent Component Analysis on the Amplitude of Somatosensory Evoked Potentials Recorded from Healthy Volunteers
Open accessAbstract
Objective: The aim of this study was to investigate the effects of different preprocessing parameters on the amplitude of median nerve somatosensory evoked potentials (SEPs). Methods: Different combinations of two classes of filters (Finite Impulse Response (FIR) and Infinite Impulse Response (IIR)), three cutoff frequency bands (0.5–1000 Hz, 3–1000 Hz, and 30–1000 Hz), and independent component analysis (ICA) were used to preprocess SEPs recorded from 17 healthy volunteers who participated in two sessions of 1000 stimulations of the right median nerve. N30 amplitude was calculated from frontally placed electrode (F3). Results: The epochs classified as artifacts from SEPs filtered with FIR compared to those filtered with IIR were 1% more using automatic and 140% more using semi-automatic methods (both p < 0.001). There were no differences in N30 amplitudes between FIR and IIR filtered SEPs. The N30 amplitude was significantly lower for SEPs filtered with 30–1000 Hz compared to the bandpass frequencies 0.5–1000 Hz and 3–1000 Hz. The N30 amplitude was significantly reduced when SEPs were cleaned with ICA compared to the SEPs from which non-brain components were not removed using ICA. Conclusion: This study suggests that the preprocessing of SEPs should be done carefully and the neuroscience community should come to a consensus regarding SEP preprocessing guidelines, as the preprocessing parameters can affect the outcomes that may influence the interpretations of results, replicability, and comparison of different studies.
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The PREP pipeline has been used previously for evoked potentials and resting-state EEG data.
“This pipeline has been used previously for evoked potentials and resting-state EEG data [233, 234].”
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Cites
Fitting Linear Mixed-Effects Models Using <b>lme4</b>
Bates, D., Mächler, M., Bolker, B., & Walker, S. (2015) · Journal of Statistical Software · doi:10.18637/jss.v067.i01 · Cited by 86,835 · see citing works
Delorme, A., & Makeig, S. (2004) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2003.10.009 · Cited by 24,371 · see citing works
Oostenveld, R., Fries, P., Maris, E., & Schoffelen, J.-M. (2011) · Computational Intelligence and Neuroscience · doi:10.1155/2011/156869 · Cited by 10,323 · see citing works
emmeans: Estimated Marginal Means, aka Least-Squares Means
Lenth, R. V., & Piaskowski, J. (2017) · doi:10.32614/cran.package.emmeans · Cited by 8,611 · see citing works
(2005) · Cited by 5,977 · see citing works
Removing electroencephalographic artifacts by blind source separation
Jung, T., Makeig, S., Humphries, C., Lee, T.-W., McKeown, M. J., Iragui, V. J., & B, T. J. S. A. (2000) · Psychophysiology · doi:10.1111/1469-8986.3720163 · Cited by 3,342 · see citing works
ERPLAB: an open-source toolbox for the analysis of event-related potentials
López‐Calderón, J., & Luck, S. J. (2014) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2014.00213 · Cited by 2,599 · see citing works
Analyzing Neural Time Series Data: Theory and Practice
Cohen, M. X. (2014) · doi:10.7551/mitpress/9609.001.0001 · Cited by 2,105 · see citing works
The PREP pipeline: standardized preprocessing for large-scale EEG analysis
Bigdely-Shamlo, N., Mullen, T. R., Kothe, C. A., Su, K., & Robbins, K. A. (2015) · Frontiers in Neuroinformatics · doi:10.3389/fninf.2015.00016 · Cited by 1,360 · see citing works
Raincloud plots: a multi-platform tool for robust data visualization
Allen, M., Poggiali, D., Whitaker, K. J., Marshall, T. R., & Kievit, R. (2019) · Wellcome Open Research · doi:10.12688/wellcomeopenres.15191.1 · Cited by 1,125 · see citing works
Chaumon, M., Bishop, D., & Busch, N. A. (2015) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2015.02.025 · Cited by 833 · see citing works
Independent EEG Sources Are Dipolar
Delorme, A., Palmer, J., Onton, J., Oostenveld, R., & Makeig, S. (2012) · PLoS ONE · doi:10.1371/journal.pone.0030135 · Cited by 810 · see citing works
Digital filter design for electrophysiological data – a practical approach
Widmann, A., Schröger, E., & Maeß, B. (2014) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2014.08.002 · Cited by 723 · see citing works
Recommendations for the clinical use of somatosensory-evoked potentials
Cruccu, G., Aminoff, M. J., Curio, G., Guérit, J., Kakigi, R., Mauguı̀ere, F., Rossini, P. M., Treede, R., & Garcı́a-Larrea, L. (2008) · Clinical Neurophysiology · doi:10.1016/j.clinph.2008.03.016 · Cited by 696 · see citing works
Spinal Cord Monitoring During Operative Treatment of the Spine
Nash, C. L., LORIG, R. A., SCHATZINGER, L. A., & Brown, R. H. (1977) · Clinical Orthopaedics and Related Research · doi:10.1097/00003086-197707000-00014 · Cited by 311 · see citing works
Filter Effects and Filter Artifacts in the Analysis of Electrophysiological Data
Widmann, A., & Schröger, E. (2012) · Frontiers in Psychology · doi:10.3389/fpsyg.2012.00233 · Cited by 241 · see citing works
Abnormal central integration of a dual somatosensory input in dystonia
Tinazzi, M., Priori, A., Bertolasi, L., Frasson, E., Mauguı̀ere, F., & Fiaschi, A. (2000) · Brain · doi:10.1093/brain/123.1.42 · Cited by 223 · see citing works
Four Common Conceptual Fallacies in Mapping the Time Course of Recognition
VanRullen, R. (2011) · Frontiers in Psychology · doi:10.3389/fpsyg.2011.00365 · Cited by 195 · see citing works
Cervical spine manipulation alters sensorimotor integration: A somatosensory evoked potential study
Taylor, H. H., & Murphy, B. A. (2006) · Clinical Neurophysiology · doi:10.1016/j.clinph.2006.09.014 · Cited by 193 · see citing works
Systematic biases in early ERP and ERF components as a result of high-pass filtering
Acunzo, D. J., MacKenzie, G., & van Rossum, M. C. W. (2012) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2012.06.011 · Cited by 186 · see citing works
High-frequency broadband modulation of electroencephalographic spectra
Onton, J. (2009) · Frontiers in Human Neuroscience · doi:10.3389/neuro.09.061.2009 · Cited by 155 · see citing works
Intraoperative Monitoring Using Somatosensory Evoked Potentials
Toleikis, J. R. (2005) · Journal of Clinical Monitoring and Computing · doi:10.1007/s10877-005-4397-0 · Cited by 137 · see citing works
Somatosensory- and motor-evoked potential monitoring during spine and spinal cord surgery
Costa, P., Bruno, A., Bonzanino, M., Massaro, F., Caruso, L., Vincenzo, I., Ciaramitaro, P., & Montalenti, E. (2006) · Spinal Cord · doi:10.1038/sj.sc.3101934 · Cited by 108 · see citing works
Lelic, D., Niazi, I. K., Holt, K. R., Jochumsen, M., Dremstrup, K., Yielder, P. C., Murphy, B. A., Drewes, A. M., & Haavik, H. (2016) · Neural Plasticity · doi:10.1155/2016/3704964 · Cited by 91 · see citing works
Self-citationAltered Central Integration of Dual Somatosensory Input After Cervical Spine Manipulation
Taylor, H. H., & Murphy, B. M. (2010) · Journal of Manipulative and Physiological Therapeutics · doi:10.1016/j.jmpt.2010.01.005 · Cited by 84 · see citing works
Tinazzi, M., Fiaschi, A., Rosso, T., Faccioli, F., Grosslercher, J. C., & Aglioti, S. M. (2000) · Journal of Neuroscience · doi:10.1523/jneurosci.20-24-09277.2000 · Cited by 83 · see citing works
Taylor, H. H., & Murphy, B. A. (2010) · Journal of Manipulative and Physiological Therapeutics · doi:10.1016/j.jmpt.2010.03.004 · Cited by 81 · see citing works
&NA; (1994) · Journal of Clinical Neurophysiology · doi:10.1097/00004691-199401000-00012 · Cited by 80 · see citing works
Lorenzo, C. D., Coppola, G., Bracaglia, M., Lenola, D. D., Evangelista, M., Sirianni, G., Rossi, P. D., Lorenzo, G. D., Serrao, M., Parisi, V., et al. (2016) · The Journal of Headache and Pain · doi:10.1186/s10194-016-0650-9 · Cited by 79 · see citing works
Kaňovský, P., Bareš, M., & Rektor, I. (2003) · Clinical Neurophysiology · doi:10.1016/s1388-2457(03)00068-3 · Cited by 78 · see citing works
Guideline 9D: Guidelines on Short-Latency Somatosensory Evoked Potentials
&NA; (2006) · Journal of Clinical Neurophysiology · doi:10.1097/00004691-200604000-00013 · Cited by 78 · see citing works
Balzamo, E., Marquis, P., Chauvel, P., & Régis, J. M. (2004) · Clinical Neurophysiology · doi:10.1016/j.clinph.2004.02.012 · Cited by 77 · see citing works
Short-latency afferent inhibition determined by the sensory afferent volley
Bailey, A. Z., Asmussen, M. J., & Nelson, A. J. (2016) · Journal of Neurophysiology · doi:10.1152/jn.00276.2016 · Cited by 62 · see citing works
Andrew, D., Haavik, H., Dancey, E., Yielder, P. C., & Murphy, B. A. (2014) · Clinical Neurophysiology · doi:10.1016/j.clinph.2014.05.020 · Cited by 49 · see citing works
Self-citationSomatosensory evoked high-frequency oscillations in migraine patients
Sakuma, K., Takeshima, T., Ishizaki, K., & Nakashima, K. (2004) · Clinical Neurophysiology · doi:10.1016/j.clinph.2004.03.011 · Cited by 47 · see citing works
Taylor, H. H., & Murphy, B. A. (2006) · Experimental Brain Research · doi:10.1007/s00221-006-0755-5 · Cited by 38 · see citing works
Passmore, S. R., Murphy, B. A., & Lee, T. D. (2014) · PubMed · Cited by 37 · see citing works
Burnos, S., Fedele, T., Schmid, O., Krayenbühl, N., & Sarnthein, J. (2015) · NeuroImage Clinical · doi:10.1016/j.nicl.2015.11.018 · Cited by 34 · see citing works
Haavik, H., Niazi, I. K., Holt, K. R., & Murphy, B. A. (2017) · Journal of Manipulative and Physiological Therapeutics · doi:10.1016/j.jmpt.2016.10.002 · Cited by 34 · see citing works
Self-citationSmith, S. W. (2003) · Digital Signal Processing · doi:10.1016/b978-0-7506-7444-7/50065-0 · Cited by 31 · see citing works
Somatosensory evoked high-frequency oscillations recorded directly from the human cerebral cortex
Maegaki, Y., Najm, I., Terada, K., Morris, H. H., Bingaman, W. E., Kohaya, N., Takenobu, A., Kadonaga, Y., & Lüders, H. O. (2000) · Clinical Neurophysiology · doi:10.1016/s1388-2457(00)00449-1 · Cited by 28 · see citing works
Spatiotemporal integration of sensory stimuli in complex regional pain syndrome and dystonia
van Rijn, M. A., van Hilten, J. J., & van Dijk, J. G. (2009) · Journal of Neural Transmission · doi:10.1007/s00702-009-0220-2 · Cited by 26 · see citing works
Endisch, C., Waterstraat, G., Storm, C., Ploner, C. J., Curio, G., & Leithner, C. (2016) · Clinical Neurophysiology · doi:10.1016/j.clinph.2016.04.014 · Cited by 26 · see citing works
Fedele, T., Schönenberger, C., Curio, G., Serra, C., Krayenbühl, N., & Sarnthein, J. (2017) · Clinical Neurophysiology · doi:10.1016/j.clinph.2017.07.400 · Cited by 24 · see citing works
Somatosensory evoked potentials and high-frequency oscillations in athletes
Murakami, T., Sakuma, K., & Nakashima, K. (2008) · Clinical Neurophysiology · doi:10.1016/j.clinph.2008.09.002 · Cited by 23 · see citing works
The role of intraoperative neuromonitoring in adults with Chiari I malformation
Röser, F., Ebner, F. H., Liebsch, M., Tatagiba, M. S., & Naros, G. (2016) · Clinical Neurology and Neurosurgery · doi:10.1016/j.clineuro.2016.08.019 · Cited by 20 · see citing works
Ares, W. J., Grandhi, R., Panczykowski, D. M., Weiner, G. M., Thirumala, P. D., Habeych, M. E., Crammond, D. J., Horowitz, M. B., Jankowitz, B. T., Jadhav, A. P., et al. (2017) · Operative Neurosurgery · doi:10.1093/ons/opx104 · Cited by 18 · see citing works
Lelic, D., Valeriani, M., Fischer, I. W. D., Dahan, A., & Drewes, A. M. (2016) · British Journal of Clinical Pharmacology · doi:10.1111/bcp.13177 · Cited by 13 · see citing works
Self-citationHan, E. Y., Jung, H. Y., & Kim, M.-O. (2013) · Disability and Rehabilitation · doi:10.3109/09638288.2013.829530 · Cited by 11 · see citing works
Hoshiyama, M., & Kakigi, R. (2000) · Clinical Neurophysiology · doi:10.1016/s1388-2457(00)00369-2 · Cited by 11 · see citing works
Mideksa, K. G., Hellriegel, H., Hoogenboom, N., Krause, H., Schnitzler, A., Deuschl, G., Raethjen, J., Heute, U., & Muthuraman, M. (2012) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc.2012.6347093 · Cited by 11 · see citing works
Adhikari, R. B., Takeda, M., Kolakshyapati, M., Sakamoto, S., Morishige, M., Kiura, Y., Okazaki, T., Shinagawa, K., Ichinose, N., Yamaguchi, S., et al. (2016) · Journal of Clinical Neuroscience · doi:10.1016/j.jocn.2016.01.026 · Cited by 9 · see citing works
Easily applicable SEP-monitoring of the N20 wave in the intensive care unit
Baars, J. H., & von Klitzing, J.-P. (2017) · Neurophysiologie Clinique · doi:10.1016/j.neucli.2017.01.004 · Cited by 7 · see citing works
Puta, C., Franz, M., Blume, K. R., Gabriel, H. H. W., Miltner, W. H. R., & Weiß, T. (2016) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2016.00521 · Cited by 6 · see citing works
A New Measure for Monitoring Intraoperative Somatosensory Evoked Potentials
Jin, S., Chung, C. K., Kim, J. E., & Choi, Y. D. (2014) · Journal of Korean Neurosurgical Society · doi:10.3340/jkns.2014.56.6.455 · Cited by 4 · see citing works
Median Nerve Somatosensory Evoked Potential in HTLV-I Associated Myelopathy
Boostani, R., Poorzahed, A., Ahmadi, Z., & Mellat, A. (2016) · Electronic physician · doi:10.19082/2361 · Cited by 2 · see citing works
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Research works printed but not linked: 1
- [4]Smith S. Digital Signal Processing Elsevier Amsterdam, The Netherlands 2003 9780750674447
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- Authors
- Navid, M. S., Niazi, I. K., Lelic, D., Drewes, A. M., & Haavik, H.
- Affiliations
- New Zealand College of Chiropractic (NZ)
- Aalborg University Hospital (DK)
- Corresponding author
- Niazi, Imran Khan
- Venue
- Sensors
- Publisher
- MDPI AG
- Published
- 2019-06-08
- Volume
- 19
- Issue
- 11
- Pages
- 2610
- ISSN
- 1424-8220 (ISSN-L)
- PMC
- PMC6603557
- OpenAlex
- W2948452535
- Cited by
- 22
- References
- 57
- Citations by year
- 2026: 2 · 2025: 4 · 2024: 7 · 2023: 2 · 2022: 4 · 2021: 1 · 2020: 2
- FWCI
- 1.02
- Type
- journal article
- Language
- en
- Open access
- gold
- dx.doi.org
- Licence
- Locations
- Sensors (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- VBN Forskningsportal (Aalborg Universitet) (publishedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Auckland University of Technology, New Zealand
- Aalborg Universitet
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › EEG and Brain-Computer Interfaces
- Health Sciences › Medicine › Surgery › Intraoperative Neuromonitoring and Anesthetic Effects
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neural Engineering
- Keywords
- somatosensory evoked potentials, median nerve stimulation, signal preprocessing, bandpass filtering, cutoff frequency, FIR filters, IIR filters, independent component analysis, artifact removal
- MeSH terms
- Adult, Electric Stimulation, Electroencephalography, Evoked Potentials, Somatosensory, Female, Humans, Male, Median Nerve, Young Adult, Healthy Volunteers
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