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Analysis of magnetic source localization of P300 using the multiple signal classification algorithm.

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Title: Analysis of magnetic source localization of P300 using the multiple signal classification algorithm.
Authors: UOHASHI, TETSUO (AUTHOR), KITAMURA, YOSHIHIRO (AUTHOR), ISHIZU, SUGURU (AUTHOR), OKAMOTO, MOTOI (AUTHOR), YAMADA, NORIHITO (AUTHOR), KURODA, SHIGETOSHI (AUTHOR)
Source: Psychiatry & Clinical Neurosciences. Dec2006, Vol. 60 Issue 6, p645-651. 7p.
Subjects: Radiography, Brain, Diagnosis of brain diseases, Parietal lobe, Cerebral cortex, Transcranial magnetic stimulation, Algorithms
Abstract: The authors studied the localization of P300 magnetic sources using the multiple signal classification (MUSIC) algorithm. Six healthy subjects (aged 24–34 years old) were investigated with 148-channel whole-head type magnetencephalography using an auditory oddball paradigm in passive mode. The authors also compared six stimulus combinations in order to find the optimal stimulus parameters for P300 magnetic field (P300m) in passive mode. Bilateral MUSIC peaks were located on the mesial temporal, superior temporal and parietal lobes. Interestingly, all MUSIC peaks in these regions emerged earlier in the right hemisphere than in the left hemisphere, suggesting that the right hemisphere has predominance over the left in the processing activity associated with P300m. There were no significant differences among the six stimulus combinations in evoking those P300m sources. The results of the present study suggest that the MUSIC algorithm could be a useful tool for analysis of the time-course of P300m. [ABSTRACT FROM AUTHOR]
Copyright of Psychiatry & Clinical Neurosciences is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: Analysis of magnetic source localization of P300 using the multiple signal classification algorithm.
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  Data: <searchLink fieldCode="JN" term="%22Psychiatry+%26+Clinical+Neurosciences%22">Psychiatry & Clinical Neurosciences</searchLink>. Dec2006, Vol. 60 Issue 6, p645-651. 7p.
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  Data: <searchLink fieldCode="DE" term="%22Radiography%22">Radiography</searchLink><br /><searchLink fieldCode="DE" term="%22Brain%22">Brain</searchLink><br /><searchLink fieldCode="DE" term="%22Diagnosis+of+brain+diseases%22">Diagnosis of brain diseases</searchLink><br /><searchLink fieldCode="DE" term="%22Parietal+lobe%22">Parietal lobe</searchLink><br /><searchLink fieldCode="DE" term="%22Cerebral+cortex%22">Cerebral cortex</searchLink><br /><searchLink fieldCode="DE" term="%22Transcranial+magnetic+stimulation%22">Transcranial magnetic stimulation</searchLink><br /><searchLink fieldCode="DE" term="%22Algorithms%22">Algorithms</searchLink>
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  Data: The authors studied the localization of P300 magnetic sources using the multiple signal classification (MUSIC) algorithm. Six healthy subjects (aged 24–34 years old) were investigated with 148-channel whole-head type magnetencephalography using an auditory oddball paradigm in passive mode. The authors also compared six stimulus combinations in order to find the optimal stimulus parameters for P300 magnetic field (P300m) in passive mode. Bilateral MUSIC peaks were located on the mesial temporal, superior temporal and parietal lobes. Interestingly, all MUSIC peaks in these regions emerged earlier in the right hemisphere than in the left hemisphere, suggesting that the right hemisphere has predominance over the left in the processing activity associated with P300m. There were no significant differences among the six stimulus combinations in evoking those P300m sources. The results of the present study suggest that the MUSIC algorithm could be a useful tool for analysis of the time-course of P300m. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Psychiatry & Clinical Neurosciences is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1111/j.1440-1819.2006.01578.x
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              Text: Dec2006
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