Linked Life Data

20366507

Source:http://linkedlifedata.com/resource/pubmed/id/20366507

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
11
pubmed:dateCreated
2010-4-6
pubmed:abstractText
We analyze the connectivity structure of weighted brain networks extracted from spontaneous magnetoencephalographic signals of healthy subjects and epileptic patients (suffering from absence seizures) recorded at rest. We find that, for the activities in the 5-14 Hz range, healthy brains exhibit a sparse connectivity, whereas the brain networks of patients display a rich connectivity with a clear modular structure. Our results suggest that modularity plays a key role in the functional organization of brain areas during normal and pathological neural activities at rest.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Mar
pubmed:issn
1079-7114
pubmed:author
pubmed:issnType
Electronic
pubmed:day
19
pubmed:volume
104
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
118701
pubmed:meshHeading
pubmed:year
2010
pubmed:articleTitle
Functional modularity of background activities in normal and epileptic brain networks.
pubmed:affiliation
CNRS UMR-7225, Hôpital de la Salpêtrière, 47 Boulevard de l'Hôpital, 75013 Paris, France.
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't