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Effectiveness of reference signal-based methods for removal of EEG artifacts due to subtle movements during fMRI scanning

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Abstract
Objective: Subtle motion of an epileptic patient examined with co-registered EEG and functional MRI (EEG-fMRI) may often lead to spurious fMRI activation patterns when true epileptic spikes are contaminated with motion artefacts. In recent years, methods relying on reference signals for correcting these subtle movements in the EEG have emerged. In this study, the performance of two reference-based devices are compared to the template-based method with regard to their ability to remove movement-related artifacts in EEG measured during scanning. Methods: Measurements were performed with a novel double layer cap consisting of 29 EEG and 29 reference electrodes, and with a current loop cap consisting of 60 electrodes and three current loop wires attached to the cap. EEG was acquired inside the scanner during resting state, as well as when the subject was performing a cued movement task. For the double layer cap recordings, newly developed artifact removal algorithms are introduced and both reference signal-based methods are compared to a template-based correction method. Results: The BCG artifacts occurring at resting state could be removed successfully by both the reference signal-based methods as well as by the template-based method. However, the reference signal-based methods were also capable of removing EEG artifacts induced by subtle movements, whereas the template-based method failed to remove these artifacts. Conclusion: Reference signal-based methods enable to correct for artifacts due to subtle movements, which are not removed by commonly used template-based removal algorithms. Significance: Sensitivity of EEG-fMRI analysis in patients with focal epilepsy is improved by avoiding erroneous detections of subtle movements as epileptic spikes in the EEG.
Keywords
EEG-fMRI, movement related EEG artifacts, reference signal-based removal algorithms, BALLISTOCARDIOGRAM ARTIFACT, PULSE ARTIFACT, MR SCANNER, RECORDINGS, REDUCTION, EPILEPSY, SUBTRACTION, EEG/FMRI, QUALITY, MOTION

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MLA
Hermans, Kees, Jan Casper de Munck, Rudolf Verdaasdonk, et al. “Effectiveness of Reference Signal-based Methods for Removal of EEG Artifacts Due to Subtle Movements During fMRI Scanning.” IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING 63.12 (2016): 2638–2646. Print.
APA
Hermans, Kees, de Munck, J. C., Verdaasdonk, R., Boon, P., Krausz, G., Prueckl, R., & Ossenblok, P. (2016). Effectiveness of reference signal-based methods for removal of EEG artifacts due to subtle movements during fMRI scanning. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 63(12), 2638–2646. Presented at the 2nd International conference on Basic and Clinical Multimodal Imaging (BaCI).
Chicago author-date
Hermans, Kees, Jan Casper de Munck, Rudolf Verdaasdonk, Paul Boon, Gunther Krausz, Robert Prueckl, and Pauly Ossenblok. 2016. “Effectiveness of Reference Signal-based Methods for Removal of EEG Artifacts Due to Subtle Movements During fMRI Scanning.” Ieee Transactions on Biomedical Engineering 63 (12): 2638–2646.
Chicago author-date (all authors)
Hermans, Kees, Jan Casper de Munck, Rudolf Verdaasdonk, Paul Boon, Gunther Krausz, Robert Prueckl, and Pauly Ossenblok. 2016. “Effectiveness of Reference Signal-based Methods for Removal of EEG Artifacts Due to Subtle Movements During fMRI Scanning.” Ieee Transactions on Biomedical Engineering 63 (12): 2638–2646.
Vancouver
1.
Hermans K, de Munck JC, Verdaasdonk R, Boon P, Krausz G, Prueckl R, et al. Effectiveness of reference signal-based methods for removal of EEG artifacts due to subtle movements during fMRI scanning. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING. 2016;63(12):2638–46.
IEEE
[1]
K. Hermans et al., “Effectiveness of reference signal-based methods for removal of EEG artifacts due to subtle movements during fMRI scanning,” IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, vol. 63, no. 12, pp. 2638–2646, 2016.
@article{8547348,
  abstract     = {Objective: Subtle motion of an epileptic patient examined with co-registered EEG and functional MRI (EEG-fMRI) may often lead to spurious fMRI activation patterns when true epileptic spikes are contaminated with motion artefacts. In recent years, methods relying on reference signals for correcting these subtle movements in the EEG have emerged. In this study, the performance of two reference-based devices are compared to the template-based method with regard to their ability to remove movement-related artifacts in EEG measured during scanning.
Methods: Measurements were performed with a novel double layer cap consisting of 29 EEG and 29 reference electrodes, and with a current loop cap consisting of 60 electrodes and three current loop wires attached to the cap. EEG was acquired inside the scanner during resting state, as well as when the subject was performing a cued movement task. For the double layer cap recordings, newly developed artifact removal algorithms are introduced and both reference signal-based methods are compared to a template-based correction method.
Results: The BCG artifacts occurring at resting state could be removed successfully by both the reference signal-based methods as well as by the template-based method. However, the reference signal-based methods were also capable of removing EEG artifacts induced by subtle movements, whereas the template-based method failed to remove these artifacts.
Conclusion: Reference signal-based methods enable to correct for artifacts due to subtle movements, which are not removed by commonly used template-based removal algorithms.
Significance: Sensitivity of EEG-fMRI analysis in patients with focal epilepsy is improved by avoiding erroneous detections of subtle movements as epileptic spikes in the EEG.},
  author       = {Hermans, Kees and de Munck, Jan Casper and Verdaasdonk, Rudolf and Boon, Paul and Krausz, Gunther and Prueckl, Robert and Ossenblok, Pauly},
  issn         = {0018-9294},
  journal      = {IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING},
  keywords     = {EEG-fMRI,movement related EEG artifacts,reference signal-based removal algorithms,BALLISTOCARDIOGRAM ARTIFACT,PULSE ARTIFACT,MR SCANNER,RECORDINGS,REDUCTION,EPILEPSY,SUBTRACTION,EEG/FMRI,QUALITY,MOTION},
  language     = {eng},
  location     = {Utrecht, The Netherlands},
  number       = {12},
  pages        = {2638--2646},
  title        = {Effectiveness of reference signal-based methods for removal of EEG artifacts due to subtle movements during fMRI scanning},
  url          = {http://dx.doi.org/10.1109/TBME.2016.2602038},
  volume       = {63},
  year         = {2016},
}

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