Toward the understanding of topographical and spectral signatures of infant movement artifacts in naturalistic EEG
Electroencephalography (EEG) is perhaps the most widely used brain-imaging technique for pediatric populations. However, EEG signals are prone to distortion by motion. Compared to adults, infants’ motion is both more frequent and less stereotypical yet motion effects on the infant EEG signal are lar...
| Main Authors: | , , , , , |
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| Format: | Journal Article |
| Language: | English |
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2021
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| Online Access: | https://hdl.handle.net/10356/145663 |
| _version_ | 1811690332682715136 |
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| author | Georgieva, Stanimira Lester, Suzannah Noreika, Valdas Yilmaz, Meryem Nazli Wass, Sam Leong, Victoria |
| author2 | School of Social Sciences |
| author_facet | School of Social Sciences Georgieva, Stanimira Lester, Suzannah Noreika, Valdas Yilmaz, Meryem Nazli Wass, Sam Leong, Victoria |
| author_sort | Georgieva, Stanimira |
| collection | NTU |
| description | Electroencephalography (EEG) is perhaps the most widely used brain-imaging technique for pediatric populations. However, EEG signals are prone to distortion by motion. Compared to adults, infants’ motion is both more frequent and less stereotypical yet motion effects on the infant EEG signal are largely undocumented. Here, we present a systematic assessment of naturalistic motion effects on the infant EEG signal. EEG recordings were performed with 14 infants (12 analyzed) who passively watched movies whilst spontaneously producing periods of bodily movement and rest. Each infant produced an average of 38.3 s (SD = 14.7 s) of rest and 18.8 s (SD = 17.9 s) of single motion segments for the final analysis. Five types of infant motions were analyzed: Jaw movements, and Limb movements of the Hand, Arm, Foot, and Leg. Significant movement-related distortions of the EEG signal were detected using cluster-based permutation analysis. This analysis revealed that, relative to resting state, infants’ Jaw and Arm movements produced significant increases in beta (∼15 Hz) power, particularly over peripheral sites. Jaw movements produced more anteriorly located effects than Arm movements, which were most pronounced over posterior parietal and occipital sites. The cluster analysis also revealed trends toward decreased power in the theta and alpha bands observed over central topographies for all motion types. However, given the very limited quantity of infant data in this study, caution is recommended in interpreting these findings before subsequent replications are conducted. Nonetheless, this work is an important first step to inform future development of methods for addressing EEG motion-related artifacts. This work also supports wider use of naturalistic paradigms in social and developmental neuroscience. |
| first_indexed | 2024-10-01T06:02:19Z |
| format | Journal Article |
| id | ntu-10356/145663 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T06:02:19Z |
| publishDate | 2021 |
| record_format | dspace |
| spelling | ntu-10356/1456632023-03-05T15:33:06Z Toward the understanding of topographical and spectral signatures of infant movement artifacts in naturalistic EEG Georgieva, Stanimira Lester, Suzannah Noreika, Valdas Yilmaz, Meryem Nazli Wass, Sam Leong, Victoria School of Social Sciences Social sciences::Psychology Electroencephalography Signal Distortion Electroencephalography (EEG) is perhaps the most widely used brain-imaging technique for pediatric populations. However, EEG signals are prone to distortion by motion. Compared to adults, infants’ motion is both more frequent and less stereotypical yet motion effects on the infant EEG signal are largely undocumented. Here, we present a systematic assessment of naturalistic motion effects on the infant EEG signal. EEG recordings were performed with 14 infants (12 analyzed) who passively watched movies whilst spontaneously producing periods of bodily movement and rest. Each infant produced an average of 38.3 s (SD = 14.7 s) of rest and 18.8 s (SD = 17.9 s) of single motion segments for the final analysis. Five types of infant motions were analyzed: Jaw movements, and Limb movements of the Hand, Arm, Foot, and Leg. Significant movement-related distortions of the EEG signal were detected using cluster-based permutation analysis. This analysis revealed that, relative to resting state, infants’ Jaw and Arm movements produced significant increases in beta (∼15 Hz) power, particularly over peripheral sites. Jaw movements produced more anteriorly located effects than Arm movements, which were most pronounced over posterior parietal and occipital sites. The cluster analysis also revealed trends toward decreased power in the theta and alpha bands observed over central topographies for all motion types. However, given the very limited quantity of infant data in this study, caution is recommended in interpreting these findings before subsequent replications are conducted. Nonetheless, this work is an important first step to inform future development of methods for addressing EEG motion-related artifacts. This work also supports wider use of naturalistic paradigms in social and developmental neuroscience. Ministry of Education (MOE) Nanyang Technological University Published version This research was funded by a UK Economic and Social Research Council (ESRC) Transforming Social Sciences Grant ES/N006461/1 to VL and SW, a Nanyang Technological University start-up Grant M4081585.SS0 to VL, a Ministry of Education (Singapore) Tier 1 Grant M4012105.SS0 to VL, an ESRC Future Research Leaders Fellowship ES/N017560/1 to SW, and a Rosetrees Medical Trust Ph.D. Studentship A1414 to SG. A version of this manuscript has been released as a Pre-Print on bioRxiv 206029; doi: https://doi.org/10.1101/206029 (Georgieva et al., 2018). 2021-01-04T03:55:06Z 2021-01-04T03:55:06Z 2020 Journal Article Georgieva, S., Lester, S., Noreika, V., Yilmaz, M. N., Wass, S., & Leong, V. (2020). Toward the understanding of topographical and spectral signatures of infant movement artifacts in naturalistic EEG. Frontiers in Neuroscience, 14, 352-. doi:10.3389/fnins.2020.00352 1662-4548 https://hdl.handle.net/10356/145663 10.3389/fnins.2020.00352 32410940 14 en M4081585.SS0 M4012105.SS0 Frontiers in Neuroscience © 2020 Georgieva, Lester, Noreika, Yilmaz, Wass and Leong. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. application/pdf |
| spellingShingle | Social sciences::Psychology Electroencephalography Signal Distortion Georgieva, Stanimira Lester, Suzannah Noreika, Valdas Yilmaz, Meryem Nazli Wass, Sam Leong, Victoria Toward the understanding of topographical and spectral signatures of infant movement artifacts in naturalistic EEG |
| title | Toward the understanding of topographical and spectral signatures of infant movement artifacts in naturalistic EEG |
| title_full | Toward the understanding of topographical and spectral signatures of infant movement artifacts in naturalistic EEG |
| title_fullStr | Toward the understanding of topographical and spectral signatures of infant movement artifacts in naturalistic EEG |
| title_full_unstemmed | Toward the understanding of topographical and spectral signatures of infant movement artifacts in naturalistic EEG |
| title_short | Toward the understanding of topographical and spectral signatures of infant movement artifacts in naturalistic EEG |
| title_sort | toward the understanding of topographical and spectral signatures of infant movement artifacts in naturalistic eeg |
| topic | Social sciences::Psychology Electroencephalography Signal Distortion |
| url | https://hdl.handle.net/10356/145663 |
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