scholarly journals Clinical MEG passes another milestone

Brain ◽  
2019 ◽  
Vol 142 (10) ◽  
pp. 2897-2900 ◽  
Author(s):  
Richard C Burgess
Keyword(s):  
Epileptic Focus ◽  
Focus Localization

This scientific commentary refers to ‘Magnetoencephalography for epileptic focus localization in a series of 1000 cases’, by Rampp et al. (doi:10.1093/brain/awz231).

Epileptic focus localization based on resting state interictal MEG recordings is feasible irrespective of the presence or absence of spikes

2015 ◽  
Vol 126 (4) ◽  
pp. 667-674 ◽  
Author(s):  
B. Krishnan ◽  
I. Vlachos ◽  
Z.I. Wang ◽  
J. Mosher ◽  
I. Najm ◽  
...  
Keyword(s):  
Resting State ◽  
Epileptic Focus ◽  
Focus Localization

EPILEPTIC FOCUS LOCALIZATION WITH EEG-TRIGGERED FMRI AND 3D-ELECTRIC SOURCE ANALYSIS

1997 ◽  
Vol 14 (5) ◽  
pp. 444 ◽  
Author(s):  
M. Seeck ◽  
F. Lazeyras ◽  
C. M. Michel ◽  
O. Blanke ◽  
C. Gericke ◽  
...  
Keyword(s):  
Source Analysis ◽  
Epileptic Focus ◽  
Focus Localization ◽  
Electric Source

The Use of Susceptibility-Weighted Imaging for Epileptic Focus Localization in Acute-Stage Pediatric Encephalopathy: A Case Report

2014 ◽  
Vol 50 (2) ◽  
pp. 171-176 ◽  
Author(s):  
Hiroki Iwasaki ◽  
Toshiaki Takeda ◽  
Tadashi Ito ◽  
Yuko Tsujioka ◽  
Hiroya Yamazaki ◽  
...  
Keyword(s):  
Case Report ◽  
Acute Stage ◽  
Epileptic Focus ◽  
Susceptibility Weighted Imaging ◽  
Focus Localization

A Discrete-Wavelet-Transform- and Hidden-Markov-Model-Based Approach for Epileptic Focus Localization

2018 ◽  
pp. 34-45 ◽  
Author(s):  
Deba Prasad Dash ◽  
Maheshkumar .H Kolekar
Keyword(s):  
Wavelet Transform ◽  
Markov Model ◽  
Hidden Markov Model ◽  
Discrete Wavelet Transform ◽  
Hidden Markov ◽  
Focal Seizure ◽  
Epileptic Focus ◽  
Discrete Wavelet ◽  
Eeg Signal ◽  
Focus Localization

Epilepsy is the most common neurological disorder with 40-50 million people suffering with it worldwide. Epilepsy is not life threatening but it disables the person to a greater extent due to its uncertainty of occurrences. Epilepsy is detected by repeated occurrences of seizure. Seizure can be generated in brain due to abnormal activity of group of neurons caused by brain tumor, genetic problem, infection, hemorrhage etc. Seizure can be detected by observing the variation in Electroencephalogram (EEG) signal. Focal seizure is defined as seizure localized in one lobe of brain. In this chapter discrete wavelet transform and Hidden Markov Model based focal seizure detection method is proposed for epileptic focus localization. EEG signal was decomposed up to level 5 using dual tree complex wavelet transform and entropy features such as collision entropy, minimum and modified sample entropy were extracted. Hidden Markov model was used for classification purpose. Maximum 80% accuracy was achieved in detecting focal and non-focal EEG signal.

Modern Techniques of Epileptic Focus Localization

2014 ◽  
pp. 245-278 ◽  
Author(s):  
Lukas Martinkovic ◽  
Hrvoje Hecimovic ◽  
Vlastimil Sulc ◽  
Radek Marecek ◽  
Petr Marusic
Keyword(s):  
Epileptic Focus ◽  
Focus Localization
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