Diagnostic classification based on functional connectivity in chronic pain: model optimization in fibromyalgia and rheumatoid arthritis.
about
Biomarkers for Musculoskeletal Pain Conditions: Use of Brain Imaging and Machine Learning.Fibromyalgia is associated with decreased connectivity between pain- and sensorimotor brain areas.Fibromyalgia diagnosis: a review of the past, present and future.Comparison of machine classification algorithms for fibromyalgia: neuroimages versus self-reportMigraine classification using magnetic resonance imaging resting-state functional connectivity data.Intrinsic Brain Connectivity in Chronic Pain: A Resting-State fMRI Study in Patients with Rheumatoid ArthritisThe Effect of Base Rate on the Predictive Value of Brain Biomarkers.Towards a neurophysiological signature for fibromyalgia.Abnormal cross-network functional connectivity in chronic pain and its association with clinical symptoms.Advances in multivariate pattern analysis for chronic pain: an emerging, but imperfect method.Pain Neuroimaging in Humans: a Primer for Beginners and Non-Imagers.
P2860
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P2860
Diagnostic classification based on functional connectivity in chronic pain: model optimization in fibromyalgia and rheumatoid arthritis.
description
2014 nî lūn-bûn
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2014年の論文
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2014年学术文章
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name
Diagnostic classification base ...... lgia and rheumatoid arthritis.
@en
Diagnostic classification base ...... lgia and rheumatoid arthritis.
@nl
type
label
Diagnostic classification base ...... lgia and rheumatoid arthritis.
@en
Diagnostic classification base ...... lgia and rheumatoid arthritis.
@nl
prefLabel
Diagnostic classification base ...... lgia and rheumatoid arthritis.
@en
Diagnostic classification base ...... lgia and rheumatoid arthritis.
@nl
P2093
P1433
P1476
Diagnostic classification base ...... lgia and rheumatoid arthritis.
@en
P2093
Bettina Pfleiderer
Christoph Stüber
Erik Wessolleck
Esther Pogatzki-Zahn
Gereon Heuft
Markus Burgmer
Markus Gaubitz
P304
P356
10.1016/J.ACRA.2013.12.003
P577
2014-03-01T00:00:00Z