Linked Life Data

17611031

Source:http://linkedlifedata.com/resource/pubmed/id/17611031

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
3
pubmed:dateCreated
2007-7-24
pubmed:abstractText
We used functional MRI (fMRI) to study the aging influence on functional connectivity of the motor network in the resting state. A network model based on graph theory was used to measure functional connectivity. The total connectivity degree of each region within the motor network was calculated and compared between aged and young groups. We found that the pattern of functional connectivity was changed in aged subjects, including a significant decrease in the functional connectivity degree of the right cingulate motor area and left premotor area compared to young subjects. Our study demonstrates that normal aging modulates the functional connectivity of motor network in the resting state. We postulate that this abnormal functional connectivity of motor network in the baseline state is an important reason contributing to the deteriorated motor ability in aged subjects.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Jul
pubmed:issn
0304-3940
pubmed:author
pubmed:issnType
Print
pubmed:day
18
pubmed:volume
422
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
164-8
pubmed:meshHeading
pubmed:year
2007
pubmed:articleTitle
Aging influence on functional connectivity of the motor network in the resting state.
pubmed:affiliation
Beijing Institute of Geriatrics, Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China.
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't