Literature DB >> 12766680

Magnetoencephalographic validation parameters for clinical evaluation of interictal epileptic activity.

Susan M Bowyer1, Karen Mason, Norman Tepley, Brien Smith, Gregory L Barkley.   

Abstract

The authors demonstrate that the confidence volume (the spatial volume that encompasses the 95% probability of source localization) of the single equivalent current dipole is helpful in validating magnetoencephalographic epileptic spike mapping. Such mapping involves distinguishing spikes from other neuronal events. The usual criteria for validating dipole fit reliability involve four parameters-correlation coefficient (R > or =0.98), goodness of fit (> or =0.95), root mean square magnetic field value (>400 fT), and dipole moment (Q value > 200 nAm)-but other parameters (direction of dipole moment, location of dipole, and confidence volume) can be considered. In 21 patients with epilepsy, the average correlation coefficient for 608 epileptic spikes was 0.99; average goodness of fit, 0.98; average root mean square, 1,198 fT; and the average Q value, 370 nAm. The mean average confidence volume was 0.30 +/- 0.27 cm3. Correlation coefficient values for quiet brain activity were less than 0.90; goodness of fit values, less than 0.85; and confidence volumes were large (>5 cm3); and for noise runs (no subject) they were even larger (>100 cm3), although correlation coefficient values were more than 0.80 and goodness of fit values were more than 0.85. Confidence volumes for noise data are large-for background brain activity even larger-but confidence volumes for epileptic spikes are small. Confidence volume, in conjunction with other parameters, may be a robust parameter for spike selection.

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Year:  2003        PMID: 12766680     DOI: 10.1097/00004691-200304000-00001

Source DB:  PubMed          Journal:  J Clin Neurophysiol        ISSN: 0736-0258            Impact factor:   2.177


  12 in total

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2.  An assessment of MEG coherence imaging in the study of temporal lobe epilepsy.

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3.  Conversation effects on neural mechanisms underlying reaction time to visual events while viewing a driving scene using MEG.

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4.  Clinical applications of magnetoencephalography in epilepsy.

Authors:  Amit Ray; Susan M Bowyer
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5.  Immediate neural responses of appetitive motives and its relationship with hedonic appetite and body weight as revealed by magnetoencephalography.

Authors:  Takahiro Yoshikawa; Masaaki Tanaka; Akira Ishii; Yasuyoshi Watanabe
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6.  The neural substrates of self-evaluation of mental fatigue: a magnetoencephalography study.

Authors:  Akira Ishii; Masaaki Tanaka; Yasuyoshi Watanabe
Journal:  PLoS One       Date:  2014-04-21       Impact factor: 3.240

7.  Spatiotemporal Accuracy of Gradient Magnetic-Field Topography (GMFT) Confirmed by Simultaneous Magnetoencephalography and Intracranial Electroencephalography Recordings in Patients with Intractable Epilepsy.

Authors:  Hiroshi Shirozu; Akira Hashizume; Hiroshi Masuda; Masafumi Fukuda; Yosuke Ito; Yoko Nakayama; Takefumi Higashijima; Shigeki Kameyama
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Journal:  Tremor Other Hyperkinet Mov (N Y)       Date:  2017-11-10

9.  Fatigue sensation induced by the sounds associated with mental fatigue and its related neural activities: revealed by magnetoencephalography.

Authors:  Akira Ishii; Masaaki Tanaka; Masayoshi Iwamae; Chongsoo Kim; Emi Yamano; Yasuyoshi Watanabe
Journal:  Behav Brain Funct       Date:  2013-06-13       Impact factor: 3.759

10.  Neural correlates of central inhibition during physical fatigue.

Authors:  Masaaki Tanaka; Akira Ishii; Yasuyoshi Watanabe
Journal:  PLoS One       Date:  2013-07-26       Impact factor: 3.240

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