Linked Life Data

17383039

Source:http://linkedlifedata.com/resource/pubmed/id/17383039

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
1
pubmed:dateCreated
2007-7-6
pubmed:abstractText
The EEG bipolar power spectra provide more localization than spectral measures obtained from monopolar referencing strategies, and have been shown to be useful endophenotypes of psychiatric disorders such as alcoholism. We estimated the additive genetic heritability of resting bipolar EEG power spectra in a large sample of non-twin sibling pairs. The corresponding heritabilities ranged between 0.220 and 0.647 and were highly significant at all 38 electrode pairs for theta (3-7 Hz), low-alpha (7-9 Hz), high-alpha (9-12 Hz), low-beta (12-16 Hz), middle-beta (16-20 Hz) and high-beta (20-28 Hz) frequency bands. The heritabilities were the highest in the high-alpha and low-beta bands at most electrode pairs. The heritabilities were most variable across the head in the three beta bands. Other heritability patterns were also identified within each frequency band. Our results suggest that substantial proportions of the variability in the bipolar EEG measures are explained by genetic factors.
pubmed:grant
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Jul
pubmed:issn
0167-8760
pubmed:author
pubmed:issnType
Print
pubmed:volume
65
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
2-9
pubmed:dateRevised
2008-11-21
pubmed:meshHeading
pubmed:year
2007
pubmed:articleTitle
Genetic influences on bipolar EEG power spectra.
pubmed:affiliation
Neurodynamics Laboratory, Department of Psychiatry, SUNY Downstate Medical Center, Brooklyn, NY, USA. ytang@cns.hscbklyn.edu
pubmed:publicationType
Journal Article, Multicenter Study, Research Support, N.I.H., Extramural