Linked Life Data

11790518

Source:http://linkedlifedata.com/resource/pubmed/id/11790518

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
2
pubmed:dateCreated
2002-1-15
pubmed:abstractText
The objective of our study was to elucidate distinct paths to depression in a model that incorporates age, measures of medical comorbidity, neuroanatomical compromise, and cognitive status in a sample of patients with late-life major depressive disorder (MDD) and nondepressed controls. Our study was cross-sectional in nature and utilized magnetic resonance imaging (MRI) estimates of brain and high-intensity lesion volumes together with clinical indices of cerebrovascular and nonvascular medical comorbidity. Neuroanatomic and clinical measures were incorporated into a structural covariance model in order to test pathways to MDD. Our data indicate that there are two paths to MDD; one path is represented by vascular and nonvascular medical comorbidity that contribute to high-intensity lesions that lead to depression. Smaller brain volumes represent a distinct path to the mood disorder. Age influences depression by increasing atrophy and overall medical comorbidity but has no direct impact on MDD. These findings demonstrate that there are distinct biological substrates to the neuroanatomical changes captured on MRI. These observations further suggest that neurobiological mechanisms acting in parallel may compromise brain structure/function, thereby predisposing individuals to clinical brain disorders such as depression.
pubmed:grant
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Feb
pubmed:issn
0893-133X
pubmed:author
pubmed:issnType
Print
pubmed:volume
26
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
229-36
pubmed:dateRevised
2011-5-18
pubmed:meshHeading
pubmed:year
2002
pubmed:articleTitle
Autonomous neurobiological pathways to late-life major depressive disorder: clinical and pathophysiological implications.
pubmed:affiliation
Neuropsychiatric Institute, UCLA School of Medicine, Los Angeles, CA 90024, USA. akumar@mednet.ucla.edu
pubmed:publicationType
Journal Article, Clinical Trial, Research Support, U.S. Gov't, P.H.S.