@article{(Open Science Index):https://publications.waset.org/pdf/10001974,
	  title     = {Types of Epilepsies and Findings EEG- LORETA about Epilepsy},
	  author    = {Leila Maleki and  Ahmad Esmali Kooraneh and  Hossein Taghi Derakhshi},
	  country	= {},
	  institution	= {},
	  abstract     = {Neural activity in the human brain starts from the
early stages of prenatal development. This activity or signals
generated by the brain are electrical in nature and represent not only
the brain function but also the status of the whole body. At the
present moment, three methods can record functional and
physiological changes within the brain with high temporal resolution
of neuronal interactions at the network level: the
electroencephalogram (EEG), the magnet oencephalogram (MEG),
and functional magnetic resonance imaging (fMRI); each of these has
advantages and shortcomings. EEG recording with a large number of
electrodes is now feasible in clinical practice. Multichannel EEG
recorded from the scalp surface provides very valuable but indirect
information about the source distribution. However, deep electrode
measurements yield more reliable information about the source
locations intracranial recordings and scalp EEG are used with the
source imaging techniques to determine the locations and strengths of
the epileptic activity. As a source localization method, Low
Resolution Electro-Magnetic Tomography (LORETA) is solved for
the realistic geometry based on both forward methods, the Boundary
Element Method (BEM) and the Finite Difference Method (FDM). In
this paper, we review the findings EEG- LORETA about epilepsy.},
	    journal   = {International Journal of Psychological and Behavioral Sciences},
	  volume    = {9},
	  number    = {7},
	  year      = {2015},
	  pages     = {2382 - 2390},
	  ee        = {https://publications.waset.org/pdf/10001974},
	  url   	= {https://publications.waset.org/vol/103},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 103, 2015},