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Literature DB >> 27315424

What reliability can and cannot tell us about pain report and pain neuroimaging.

Janelle E Letzen¹, Jeff Boissoneault, Landrew S Sevel, Michael E Robinson.

Abstract

Entities: Disease Species

Mesh：

Year: 2016 PMID： 27315424 PMCID： PMC4913788 DOI： 10.1097/j.pain.0000000000000546

Source DB: PubMed Journal: Pain ISSN： 0304-3959 Impact factor: 6.961

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25 in total

1. What reliability can and cannot tell us about pain report and pain neuroimaging.

Authors: Choong-Wan Woo; Tor D Wager
Journal: Pain Date: 2016-03 Impact factor: 6.961

2. The subjective experience of pain: where expectations become reality.

Authors: Tetsuo Koyama; John G McHaffie; Paul J Laurienti; Robert C Coghill
Journal: Proc Natl Acad Sci U S A Date: 2005-09-06 Impact factor: 11.205

3. Neural signatures in patients with neuropathic pain.

Authors: A L Green; S Wang; J F Stein; E A C Pereira; M L Kringelbach; X Liu; J-S Brittain; T Z Aziz
Journal: Neurology Date: 2009-02-10 Impact factor: 9.910

4. Can pain be measured objectively?

Authors: Yi Lu; Geraldine T Klein; Michael Y Wang
Journal: Neurosurgery Date: 2013-08 Impact factor: 4.654

5. Test-retest reliability of the Short-Form McGill Pain Questionnaire: assessment of intraclass correlation coefficients and limits of agreement in patients with osteoarthritis.

Authors: Kate V Grafton; Nadine E Foster; Christine C Wright
Journal: Clin J Pain Date: 2005 Jan-Feb Impact factor: 3.442

What reliability can and cannot tell us about pain report and pain neuroimaging.

1. What reliability can and cannot tell us about pain report and pain neuroimaging.

2. The subjective experience of pain: where expectations become reality.

3. Neural signatures in patients with neuropathic pain.

4. Can pain be measured objectively?

5. Test-retest reliability of the Short-Form McGill Pain Questionnaire: assessment of intraclass correlation coefficients and limits of agreement in patients with osteoarthritis.

6. Neural underpinnings of nocebo hyperalgesia in visceral pain: A fMRI study in healthy volunteers.

Review 7. Pain and the brain: specificity and plasticity of the brain in clinical chronic pain.

8. Multivariate classification of structural MRI data detects chronic low back pain.

9. Default mode network connectivity encodes clinical pain: an arterial spin labeling study.

10. Influence of prior information on pain involves biased perceptual decision-making.