DocumentCode
2457332
Title
Motif Discovery in Brain Networks of Patients with Somatoform Pain Disorder
Author
Oswald, Annahita ; Wackersreuther, Bianca
Author_Institution
Univ. of Munich, Munich, Germany
fYear
2009
fDate
Aug. 31 2009-Sept. 4 2009
Firstpage
328
Lastpage
332
Abstract
Idiopathic chronic pain disorders constitude a large, clinically important health care problem that urgently needs deeper path physiological insight. The understanding which brain compartments are involved in such diseases, is therefore a very interesting research topic in neurological medicine. In this paper, we apply an efficient algorithm for motif discovery to time series data of somatoform patients and healthy controls.We find groups of brain compartments that occur frequently within the brain networks and are characteristic for patients with somatoform disorder.
Keywords
brain; data handling; diseases; health care; neurophysiology; time series; health care; idiopathic chronic pain disorders; motif discovery; neurological medicine; patients brain networks; somatoform pain disorder; time series data; Biomedical imaging; Databases; Diseases; Expert systems; Frequency; Graph theory; Medical diagnostic imaging; Medical services; Pain; Testing; network mining; static motifs; task-fMRI;
fLanguage
English
Publisher
ieee
Conference_Titel
Database and Expert Systems Application, 2009. DEXA '09. 20th International Workshop on
Conference_Location
Linz
ISSN
1529-4188
Print_ISBN
978-0-7695-3763-4
Type
conf
DOI
10.1109/DEXA.2009.48
Filename
5337126
Link To Document