A Brief Introduction to Magnetoencephalography (MEG) and Its Clinical Applications
Magnetoencephalography (MEG) plays a pivotal role in the diagnosis of brain disorders. In this review, we have investigated potential MEG applications for analysing brain disorders. The signal-to-noise ratio (SNR<sub>MEG</sub> = 2.2 db, SNR<sub>EEG</sub> < 1 db) and spatia...
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MDPI AG
2022-06-01
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| author | Alfred Lenin Fred Subbiahpillai Neelakantapillai Kumar Ajay Kumar Haridhas Sayantan Ghosh Harishita Purushothaman Bhuvana Wei Khang Jeremy Sim Vijayaragavan Vimalan Fredin Arun Sedly Givo Veikko Jousmäki Parasuraman Padmanabhan Balázs Gulyás |
| author_facet | Alfred Lenin Fred Subbiahpillai Neelakantapillai Kumar Ajay Kumar Haridhas Sayantan Ghosh Harishita Purushothaman Bhuvana Wei Khang Jeremy Sim Vijayaragavan Vimalan Fredin Arun Sedly Givo Veikko Jousmäki Parasuraman Padmanabhan Balázs Gulyás |
| author_sort | Alfred Lenin Fred |
| collection | DOAJ |
| description | Magnetoencephalography (MEG) plays a pivotal role in the diagnosis of brain disorders. In this review, we have investigated potential MEG applications for analysing brain disorders. The signal-to-noise ratio (SNR<sub>MEG</sub> = 2.2 db, SNR<sub>EEG</sub> < 1 db) and spatial resolution (SR<sub>MEG</sub> = 2–3 mm, SR<sub>EEG</sub> = 7–10 mm) is higher for MEG than EEG, thus MEG potentially facilitates accurate monitoring of cortical activity. We found that the direct electrophysiological MEG signals reflected the physiological status of neurological disorders and play a vital role in disease diagnosis. Single-channel connectivity, as well as brain network analysis, using MEG data acquired during resting state and a given task has been used for the diagnosis of neurological disorders such as epilepsy, Alzheimer’s, Parkinsonism, autism, and schizophrenia. The workflow of MEG and its potential applications in the diagnosis of disease and therapeutic planning are also discussed. We forecast that computer-aided algorithms will play a prominent role in the diagnosis and prediction of neurological diseases in the future. The outcome of this narrative review will aid researchers to utilise MEG in diagnostics. |
| first_indexed | 2024-03-10T00:15:36Z |
| format | Article |
| id | doaj.art-0704d8d8d4cd477cb084f4a34fb559ec |
| institution | Directory Open Access Journal |
| issn | 2076-3425 |
| language | English |
| last_indexed | 2024-03-10T00:15:36Z |
| publishDate | 2022-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Brain Sciences |
| spelling | doaj.art-0704d8d8d4cd477cb084f4a34fb559ec2023-11-23T15:51:27ZengMDPI AGBrain Sciences2076-34252022-06-0112678810.3390/brainsci12060788A Brief Introduction to Magnetoencephalography (MEG) and Its Clinical ApplicationsAlfred Lenin Fred0Subbiahpillai Neelakantapillai Kumar1Ajay Kumar Haridhas2Sayantan Ghosh3Harishita Purushothaman Bhuvana4Wei Khang Jeremy Sim5Vijayaragavan Vimalan6Fredin Arun Sedly Givo7Veikko Jousmäki8Parasuraman Padmanabhan9Balázs Gulyás10Department of CSE, Mar Ephraem College of Engineering and Technology, Marthandam 629171, Tamil Nadu, IndiaDepartment of EEE, Amal Jyothi College of Engineering, Kanjirappally 686518, Kerala, IndiaDepartment of ECE, Mar Ephraem College of Engineering and Technology, Marthandam 629171, Tamil Nadu, IndiaDepartment of Integrative Biology, Vellore Institute of Technology, Vellore 632014, Tamil Nadu, IndiaCognitive Neuroimaging Centre, Nanyang Technological University, Singapore 636921, SingaporeCognitive Neuroimaging Centre, Nanyang Technological University, Singapore 636921, SingaporeCognitive Neuroimaging Centre, Nanyang Technological University, Singapore 636921, SingaporeDepartment of CSE, Mar Ephraem College of Engineering and Technology, Marthandam 629171, Tamil Nadu, IndiaCognitive Neuroimaging Centre, Nanyang Technological University, Singapore 636921, SingaporeCognitive Neuroimaging Centre, Nanyang Technological University, Singapore 636921, SingaporeCognitive Neuroimaging Centre, Nanyang Technological University, Singapore 636921, SingaporeMagnetoencephalography (MEG) plays a pivotal role in the diagnosis of brain disorders. In this review, we have investigated potential MEG applications for analysing brain disorders. The signal-to-noise ratio (SNR<sub>MEG</sub> = 2.2 db, SNR<sub>EEG</sub> < 1 db) and spatial resolution (SR<sub>MEG</sub> = 2–3 mm, SR<sub>EEG</sub> = 7–10 mm) is higher for MEG than EEG, thus MEG potentially facilitates accurate monitoring of cortical activity. We found that the direct electrophysiological MEG signals reflected the physiological status of neurological disorders and play a vital role in disease diagnosis. Single-channel connectivity, as well as brain network analysis, using MEG data acquired during resting state and a given task has been used for the diagnosis of neurological disorders such as epilepsy, Alzheimer’s, Parkinsonism, autism, and schizophrenia. The workflow of MEG and its potential applications in the diagnosis of disease and therapeutic planning are also discussed. We forecast that computer-aided algorithms will play a prominent role in the diagnosis and prediction of neurological diseases in the future. The outcome of this narrative review will aid researchers to utilise MEG in diagnostics.https://www.mdpi.com/2076-3425/12/6/788magnetoencephalography (MEG)clinical applicationbrain networkbrain connectivityneurological disorderelectrophysiology |
| spellingShingle | Alfred Lenin Fred Subbiahpillai Neelakantapillai Kumar Ajay Kumar Haridhas Sayantan Ghosh Harishita Purushothaman Bhuvana Wei Khang Jeremy Sim Vijayaragavan Vimalan Fredin Arun Sedly Givo Veikko Jousmäki Parasuraman Padmanabhan Balázs Gulyás A Brief Introduction to Magnetoencephalography (MEG) and Its Clinical Applications Brain Sciences magnetoencephalography (MEG) clinical application brain network brain connectivity neurological disorder electrophysiology |
| title | A Brief Introduction to Magnetoencephalography (MEG) and Its Clinical Applications |
| title_full | A Brief Introduction to Magnetoencephalography (MEG) and Its Clinical Applications |
| title_fullStr | A Brief Introduction to Magnetoencephalography (MEG) and Its Clinical Applications |
| title_full_unstemmed | A Brief Introduction to Magnetoencephalography (MEG) and Its Clinical Applications |
| title_short | A Brief Introduction to Magnetoencephalography (MEG) and Its Clinical Applications |
| title_sort | brief introduction to magnetoencephalography meg and its clinical applications |
| topic | magnetoencephalography (MEG) clinical application brain network brain connectivity neurological disorder electrophysiology |
| url | https://www.mdpi.com/2076-3425/12/6/788 |
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