Linked Life Data

17973326

Source:http://linkedlifedata.com/resource/pubmed/id/17973326

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
1
pubmed:dateCreated
2008-1-31
pubmed:abstractText
The origin of the high rate of depression in idiopathic Parkinson's disease (PD) is unknown. We applied voxel-based morphometry (VBM), as a sensitive tool in detection of gray matter MR density alterations, to find differences in depressed and nondepressed PD patients. Patients with idiopathic PD were classified into depressed (DPD) and nondepressed (NDPD) groups based on the Montgomery-Asberg Depression Rating Scale (MADRS). Subsequently, a group comparisons were performed between depressed PD (n = 23), nondepressed PD (n = 27) and normal healthy controls (NC, n = 16). There was no difference in gray matter density comparing healthy controls to any PD groups. However, when NDPD and DPD cohorts were compared, density alteration of the bilateral orbitofrontal, bilateral rectal gyrus, and also the right superior temporal pole was detected in the depressed subgroup. Exploratory analyses revealed an inverse correlation of MADRS scores and severity of VBM alteration in these regions beside the right medial temporal gyrus, anterior and medial cingular gyrus, and parahippocampal gyrus. These results suggest that depression in PD is related to gray matter decrease in the bilateral orbitofrontal and right temporal regions as well as the limbic system.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Jan
pubmed:issn
1531-8257
pubmed:author
pubmed:copyrightInfo
2007 Movement Disorder Society
pubmed:issnType
Electronic
pubmed:volume
23
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
42-6
pubmed:meshHeading
pubmed:year
2008
pubmed:articleTitle
Morphometric changes of gray matter in Parkinson's disease with depression: a voxel-based morphometry study.
pubmed:affiliation
Department of Neurology, University of Pécs, Hungary. adam.feldmann@aok.pte.hu
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't