Linked Life Data

21134438

Source:http://linkedlifedata.com/resource/pubmed/id/21134438

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
2
pubmed:dateCreated
2011-2-21
pubmed:abstractText
Quantitative EEG can monitor changes in brain function during development and may help to understand developmental disorders. However, current EEG-databases are primarily based on standardized frequency bands which disregard age-related changes in alpha peak frequency (PF) and therefore complicate the interpretation of spectral estimates in the theta and alpha range.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Apr
pubmed:issn
1873-474X
pubmed:author
pubmed:copyrightInfo
Copyright © 2010 ISDN. Published by Elsevier Ltd. All rights reserved.
pubmed:issnType
Electronic
pubmed:volume
29
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
163-70
pubmed:meshHeading
pubmed:year
2011
pubmed:articleTitle
Individual analysis of EEG background-activity within school age: impact of age and sex within a longitudinal data set.
pubmed:affiliation
Section of Experimental Psychopathology and Neurophysiology, Department of Psychiatry, University of Heidelberg, Voss-Straße 4, 69115 Heidelberg, Germany. Dennis.Gmehlin@med.uni-heidelberg.de
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't