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Pain neuroimaging in humans: a primer for beginners and non-imagers

Moayedi, M., Salomons, T. V. and Atlas, L. Y. (2018) Pain neuroimaging in humans: a primer for beginners and non-imagers. The Journal of Pain, 19 (9). 961.e1-961.e21. ISSN 1526-5900

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To link to this item DOI: 10.1016/j.jpain.2018.03.011


The field of human pain neuroimaging has exploded in the last two decades. During this time, the broader neuroimaging community has continued to investigate and refine methods. Another key to progress is exchange with clinicians and pain scientists working with other model systems and approaches. These collaborative efforts require that non-imagers be able to evaluate and assess the evidence provided in these papers. Likewise, new trainees must design rigorous and reliable pain imaging experiments. Here, we provide a guideline for designing, reading, evaluating, analyzing, and reporting results of a pain neuroimaging experiment, with a focus on functional and structural MRI. We focus in particular on considerations that are unique to neuroimaging studies of pain in humans, including study design and analysis, inferences that can be drawn from these studies, and the strengths and limitations of the approach. This article provides an overview of the concepts and considerations of structural and functional MRI neuroimaging studies. The primer is written for those who are not familiar with brain imaging. We review key concepts related to recruitment and study sample, experimental design, data analysis and data interpretation. [Abstract copyright: Copyright © 2018. Published by Elsevier Inc.]

Item Type:Article
Divisions:Interdisciplinary Research Centres (IDRCs) > Centre for Integrative Neuroscience and Neurodynamics (CINN)
Life Sciences > School of Psychology and Clinical Language Sciences > Psychopathology and Affective Neuroscience
Life Sciences > School of Psychology and Clinical Language Sciences > Perception and Action
ID Code:76621
Uncontrolled Keywords:MRI, MVPA, Pain, fMRI, functional connectivity, guidelines, sMRI


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