• 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