Linked Life Data

20381528

Source:http://linkedlifedata.com/resource/pubmed/id/20381528

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
1
pubmed:dateCreated
2010-6-1
pubmed:abstractText
Neuroimaging is fundamental to identifying quantifiable and objective biomarkers in symptomatic and pre-diagnostic Huntington's disease (HD). However, the challenge remains to find reliable biomarkers with high sensitivity and specificity that can be used to track the functional decline over time and test efficacy of therapeutic intervention. While many recent studies have focused on neuroimaging techniques based on brain hemodynamic activity, comparatively fewer have utilized electroencephalography (EEG) and event-related potentials (ERPs). This review aims to summarise and integrate key electroencephalographical findings from the last two decades in symptomatic and pre-diagnostic HD, in context with recent neuroimaging data, and to use this information to identify promising candidate markers for future research and clinical consideration.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Sep
pubmed:issn
1872-6321
pubmed:author
pubmed:issnType
Electronic
pubmed:volume
64
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
177-94
pubmed:meshHeading
pubmed:year
2010
pubmed:articleTitle
Electrophysiological measures as potential biomarkers in Huntington's disease: review and future directions.
pubmed:affiliation
School of Psychology and Psychiatry, Monash University, Clayton, Victoria, Australia.
pubmed:publicationType
Journal Article, Review