000			02946naaaa2200337uu 4500
001			https://directory.doabooks.org/handle/20.500.12854/49822
005			20220220050147.0
020			_a978-2-88919-296-0
020			_a9782889192960
024	7		_a10.3389/978-2-88919-296-0 _cdoi
041	0		_aEnglish
042			_adc
100	1		_aMark Holmes _4auth
700	1		_aDon Tucker _4auth
245	1	0	_aIdentifying the Epileptic Network
260			_bFrontiers Media SA _c2014
300			_a1 electronic resource (126 p.)
506	0		_aOpen Access _2star _fUnrestricted online access
520			_aAn important area of current research in epilepsy focuses on identifying the specific regions within the brain that are affected in individuals with recurring seizures. The epileptogenic process may result not only in pathology in focal cortical regions, but abnormalities in subcortical structures, such as thalamus and basal ganglia, and in intercortical and intracortical connecting white matter pathways. Novel methods of treating refractory epilepsy are urgently needed. The goal of identifying for each affected individual the specific brain regions that are involved offers the promise that novel methods of treatment will one day be developed that specifically target those abnormal regions. Researchers from disparate fields are required to develop and advance this area of research, and this current topic proposes to place a spotlight on the “state of the art” of methods to identify the abnormal networks. Recent work covering a wide variety of disciplines and technologies, including dense array electroencephalography (dEEG), novel methods of analyses of both the interictal dEEG and intracranial EEG (icEEG), magnetoencephalography (MEG), high-resolution magnetic resonance imaging (MRI), functional MRI (fMRI), simultaneous fMRI-EEG, fMRI connectivity measures, simultaneous dEEG-icEEG, and techniques to coregister patient-specific MRI (including white matter pathways) and dEEG, are all examples of areas of research that have contributed to a greater understanding of potential epileptogenic regions. We asked for individuals with expertise in an area of research that expands an understanding of identifying epileptic networks to contribute to this research topic.
540			_aCreative Commons _fhttps://creativecommons.org/licenses/by/4.0/ _2cc _4https://creativecommons.org/licenses/by/4.0/
546			_aEnglish
653			_atractography
653			_aepileptic spikes
653			_afunctional connectivity
653			_aEpilepsy
653			_acerebral networks
653			_aEEG coherence analysis
653			_aSeizure propagation
856	4	0	_awww.oapen.org _uhttp://journal.frontiersin.org/researchtopic/939/identifying-the-epileptic-network _70 _zDOAB: download the publication
856	4	0	_awww.oapen.org _uhttps://directory.doabooks.org/handle/20.500.12854/49822 _70 _zDOAB: description of the publication
999			_c66657 _d66657