Title :
Motif Discovery in Brain Networks of Patients with Somatoform Pain Disorder
Author :
Oswald, Annahita ; Wackersreuther, Bianca
Author_Institution :
Univ. of Munich, Munich, Germany
fDate :
Aug. 31 2009-Sept. 4 2009
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;
Conference_Titel :
Database and Expert Systems Application, 2009. DEXA '09. 20th International Workshop on
Conference_Location :
Linz
Print_ISBN :
978-0-7695-3763-4
DOI :
10.1109/DEXA.2009.48