Sundermann, B., Herr, D., Schwindt, W. and Pfleiderer, B. (2014). Multivariate Classification of Blood Oxygen Level-Dependent fMRI Data with Diagnostic Intention: A Clinical Perspective. Am. J. Neuroradiol., 35 (5). S. 848 - 856. DENVILLE: AMER SOC NEURORADIOLOGY. ISSN 1936-959X

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Abstract

There has been a recent upsurge of reports about applications of pattern-recognition techniques from the field of machine learning to functional MR imaging data as a diagnostic tool for systemic brain disease or psychiatric disorders. Entities studied include depression, schizophrenia, attention deficit hyperactivity disorder, and neurodegenerative disorders like Alzheimer dementia. We review these recent studies which-despite the optimism from some articles-predominantly constitute explorative efforts at the proof-of-concept level. There is some evidence that, in particular, support vector machines seem to be promising. However, the field is still far from real clinical application, and much work has to be done regarding data preprocessing, model optimization, and validation. Reporting standards are proposed to facilitate future meta-analyses or systematic reviews.

Item Type: Journal Article
Creators:
CreatorsEmailORCIDORCID Put Code
Sundermann, B.UNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Herr, D.UNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Schwindt, W.UNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Pfleiderer, B.UNSPECIFIEDUNSPECIFIEDUNSPECIFIED
URN: urn:nbn:de:hbz:38-439773
DOI: 10.3174/ajnr.A3713
Journal or Publication Title: Am. J. Neuroradiol.
Volume: 35
Number: 5
Page Range: S. 848 - 856
Date: 2014
Publisher: AMER SOC NEURORADIOLOGY
Place of Publication: DENVILLE
ISSN: 1936-959X
Language: English
Faculty: Unspecified
Divisions: Unspecified
Subjects: no entry
Uncontrolled Keywords:
KeywordsLanguage
STATE FUNCTIONAL CONNECTIVITY; SUPPORT VECTOR MACHINE; ALZHEIMERS-DISEASE; DISCRIMINATIVE ANALYSIS; PATTERN-RECOGNITION; WORKING-MEMORY; BRAIN ACTIVITY; NEUROBIOLOGICAL MARKERS; BAYESIAN CLASSIFICATION; PATIENT CLASSIFICATIONMultiple languages
Clinical Neurology; Neuroimaging; Radiology, Nuclear Medicine & Medical ImagingMultiple languages
URI: http://kups.ub.uni-koeln.de/id/eprint/43977

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