Diagnostic classification based onfunctional connectivity inchronic pain: Model optimization in fibromyalgia and rheumatoid arthritis

Academic Radiology

Volumn 21, Issue 3, 2014, Pages 369-377

  Sundermann, Benedikt ^a   Burgmer, Markus ^a   Pogatzki Zahn, Esther ^a   Gaubitz, Markus ^b   Stüber, Christoph ^c   Wessolleck, Erik ^d   Heuft, Gereon ^a   Pfleiderer, Bettina ^a  

^a UNIVERSITY HOSPITAL MÜNSTER   (Germany)

^b Akademie fur Manuelle Medizin   (Germany)

^c Clemenshospital Munster   (Germany)

^d St Anna Hospital   (Germany)

Author keywords

Chronic pain; Classification; FMRI; Functional connectivity; MVPA

Indexed keywords

ADULT; ARTICLE; CHRONIC PAIN; CLINICAL ARTICLE; CONTROLLED STUDY; DIAGNOSTIC ACCURACY; DIAGNOSTIC TEST ACCURACY STUDY; DISEASE CLASSIFICATION; FEMALE; FIBROMYALGIA; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HUMAN; LEARNING ALGORITHM; MACHINE LEARNING; MIDDLE AGED; MULTIVARIATE ANALYSIS; MULTIVARIATE PATTERN ANALYSIS; PRIORITY JOURNAL; RHEUMATOID ARTHRITIS; SUPPORT VECTOR MACHINE;

CHRONIC PAIN; CLASSIFICATION; FMRI; FUNCTIONAL CONNECTIVITY; MVPA;

ARTHRITIS, RHEUMATOID; BRAIN; CHRONIC PAIN; COMPUTER SIMULATION; CONNECTOME; FEMALE; FIBROMYALGIA; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MIDDLE AGED; MODELS, NEUROLOGICAL; NERVE NET; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 84893479057     PISSN: 10766332     EISSN: 18784046     Source Type: Journal    
DOI: 10.1016/j.acra.2013.12.003     Document Type: Article

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