Magnetic Source Imaging and Infant MEG: Current Trends and Technical Advances
Magnetoencephalography (MEG) is known for its temporal precision and good spatial resolution in cognitive brain research. Nonetheless, it is still rarely used in developmental research, and its role in developmental cognitive neuroscience is not adequately addressed. The current review focuses on th...
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| Format: | Article |
| Language: | English |
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MDPI AG
2019-07-01
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| Series: | Brain Sciences |
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| Online Access: | https://www.mdpi.com/2076-3425/9/8/181 |
| _version_ | 1818570571048288256 |
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| author | Chieh Kao Yang Zhang |
| author_facet | Chieh Kao Yang Zhang |
| author_sort | Chieh Kao |
| collection | DOAJ |
| description | Magnetoencephalography (MEG) is known for its temporal precision and good spatial resolution in cognitive brain research. Nonetheless, it is still rarely used in developmental research, and its role in developmental cognitive neuroscience is not adequately addressed. The current review focuses on the source analysis of MEG measurement and its potential to answer critical questions on neural activation origins and patterns underlying infants’ early cognitive experience. The advantages of MEG source localization are discussed in comparison with functional magnetic resonance imaging (fMRI) and functional near-infrared spectroscopy (fNIRS), two leading imaging tools for studying cognition across age. Challenges of the current MEG experimental protocols are highlighted, including measurement and data processing, which could potentially be resolved by developing and improving both software and hardware. A selection of infant MEG research in auditory, speech, vision, motor, sleep, cross-modality, and clinical application is then summarized and discussed with a focus on the source localization analyses. Based on the literature review and the advancements of the infant MEG systems and source analysis software, typical practices of infant MEG data collection and analysis are summarized as the basis for future developmental cognitive research. |
| first_indexed | 2024-12-14T13:43:29Z |
| format | Article |
| id | doaj.art-8dd478df2fb243188fa119d25df763d8 |
| institution | Directory Open Access Journal |
| issn | 2076-3425 |
| language | English |
| last_indexed | 2024-12-14T13:43:29Z |
| publishDate | 2019-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Brain Sciences |
| spelling | doaj.art-8dd478df2fb243188fa119d25df763d82022-12-21T22:59:22ZengMDPI AGBrain Sciences2076-34252019-07-019818110.3390/brainsci9080181brainsci9080181Magnetic Source Imaging and Infant MEG: Current Trends and Technical AdvancesChieh Kao0Yang Zhang1Department of Speech-Language-Hearing Sciences, University of Minnesota, Minneapolis, MN 55455, USADepartment of Speech-Language-Hearing Sciences, University of Minnesota, Minneapolis, MN 55455, USAMagnetoencephalography (MEG) is known for its temporal precision and good spatial resolution in cognitive brain research. Nonetheless, it is still rarely used in developmental research, and its role in developmental cognitive neuroscience is not adequately addressed. The current review focuses on the source analysis of MEG measurement and its potential to answer critical questions on neural activation origins and patterns underlying infants’ early cognitive experience. The advantages of MEG source localization are discussed in comparison with functional magnetic resonance imaging (fMRI) and functional near-infrared spectroscopy (fNIRS), two leading imaging tools for studying cognition across age. Challenges of the current MEG experimental protocols are highlighted, including measurement and data processing, which could potentially be resolved by developing and improving both software and hardware. A selection of infant MEG research in auditory, speech, vision, motor, sleep, cross-modality, and clinical application is then summarized and discussed with a focus on the source localization analyses. Based on the literature review and the advancements of the infant MEG systems and source analysis software, typical practices of infant MEG data collection and analysis are summarized as the basis for future developmental cognitive research.https://www.mdpi.com/2076-3425/9/8/181Magnetoencephalography (MEG)infantcognitive developmentsource localizationequivalent current dipole (ECD)minimum norm estimation (MNE) |
| spellingShingle | Chieh Kao Yang Zhang Magnetic Source Imaging and Infant MEG: Current Trends and Technical Advances Brain Sciences Magnetoencephalography (MEG) infant cognitive development source localization equivalent current dipole (ECD) minimum norm estimation (MNE) |
| title | Magnetic Source Imaging and Infant MEG: Current Trends and Technical Advances |
| title_full | Magnetic Source Imaging and Infant MEG: Current Trends and Technical Advances |
| title_fullStr | Magnetic Source Imaging and Infant MEG: Current Trends and Technical Advances |
| title_full_unstemmed | Magnetic Source Imaging and Infant MEG: Current Trends and Technical Advances |
| title_short | Magnetic Source Imaging and Infant MEG: Current Trends and Technical Advances |
| title_sort | magnetic source imaging and infant meg current trends and technical advances |
| topic | Magnetoencephalography (MEG) infant cognitive development source localization equivalent current dipole (ECD) minimum norm estimation (MNE) |
| url | https://www.mdpi.com/2076-3425/9/8/181 |
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