Linked Life Data

1743168

Source:http://linkedlifedata.com/resource/pubmed/id/1743168

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:dateCreated
1992-1-10
pubmed:abstractText
Dipole methods applied to brain electric and magnetic fields have made several significant advances in investigation of epilepsy and sensorimotor cortex. The magnetoencephalogram (MEG) and the MEG-electroencephalogram (EEG) combination have contributed substantially. The MEG-EEG combination has shown a mean accuracy of somatosensory evoked response (SER) localization of the central fissure similar to electrocorticography (ECoG), resolution of ambiguity in ECoG of alternative configurations of hand sensorimotor cortex, and resolution of ambiguity of the causes of the difference between EEG and ECoG map patterns. MEG has shown simple dipolar maps of the temporal lobe interictal spike, localization estimates with about 6 mm error, and spatial separation of propagating multiple sources. MEG and EEG have shown a new neocortical propagation pathway in the temporal lobe, noninvasive estimates of the area of the spike focus, and complementary detection sensitivity. Application of spatiotemporal multiple dipole modeling in the simplest field using MEG has given a realistic quantification of spike zones. MEG and EEG have shown simple dipolar patterns for seizure origin, suggesting focality of some frontal seizures, and appears to increase EEG utility. Improved accuracy may result from a combined methodology including MEG and EEG. Dipole methods have potential utility as a noninvasive diagnostic procedure in epilepsy.
pubmed:grant
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:issn
0013-9580
pubmed:author
pubmed:issnType
Print
pubmed:volume
32 Suppl 5
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
S29-40
pubmed:dateRevised
2007-11-14
pubmed:meshHeading
pubmed:year
1991
pubmed:articleTitle
Localization of partial epilepsy using magnetic and electric measurements.
pubmed:affiliation
Department of Neurology, Reed Neurologic Research Center, UCLA School of Medicine 90024-1769.
pubmed:publicationType
Journal Article, Research Support, U.S. Gov't, P.H.S., Review, Research Support, Non-U.S. Gov't