Linked Life Data

17579367

Source:http://linkedlifedata.com/resource/pubmed/id/17579367

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
1
pubmed:dateCreated
2007-12-27
pubmed:abstractText
The purpose of the present study is to examine the familiality of electroencephalographic (EEG) measures among affected sibling pairs with Attention-Deficit Hyperactivity Disorder (ADHD). EEG was recorded during baseline (eyes open and eyes closed) and cognitive activation conditions on a sample of 58 children with ADHD (27 multiplex families), ages 6-18. EEG power in three frequency bands: theta (4-7 Hz), alpha (8-12 Hz) and beta (12-20 Hz) was tested for sibling correlation, familial co-segregation and association with behavioral task performance on a sustained attention task. Sibling correlation for EEG measures was moderate during baseline conditions and significantly higher for the cognitive activation condition. Familial clustering of frontal and parietal alpha power was evident, but only during the cognitive activation condition. Theta and alpha power correlated significantly with CPT response variability and omission errors, respectively. Cognitive task performance did not exhibit familial clustering in our sample. EEG measures (i.e., alpha power) recorded during cognitive activation is a strongly familial trait in ADHD and may be a putative endophenotype for ADHD.
pubmed:grant
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Jan
pubmed:issn
1552-485X
pubmed:author
pubmed:copyrightInfo
(c) 2007 Wiley-Liss, Inc.
pubmed:issnType
Electronic
pubmed:day
5
pubmed:volume
147B
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
107-9
pubmed:dateRevised
2008-5-21
pubmed:meshHeading
pubmed:year
2008
pubmed:articleTitle
Preliminary report of familial clustering of EEG measures in ADHD.
pubmed:affiliation
Department of Psychiatry and Biobehavioral Sciences, Semel Institute of Neuroscience and Human Behavior, University of California, Los Angeles, California, USA. SLoo@mednet.ucla.edu
pubmed:publicationType
Journal Article, Research Support, N.I.H., Extramural