A critical evaluation of validity and utility of translational imaging in pain and analgesia: Utilizing functional imaging to enhance the process

Upadhyay, Jaymin; Geber, Christian; Hargreaves, Richard; Birklein, Frank; Borsook, David

doi:10.1016/j.neubiorev.2017.08.004

Cited by 24 publications

(11 citation statements)

References 229 publications

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“…Second, the present approach might represent a step further towards a much sought-after brain-based marker of pain. 15,71 fMRI recordings have already shown that, in principle, it is possible to establish such a marker. 44,80 The present approach complements these fMRI approaches by using EEG recordings.…”

Section: Discussionmentioning

confidence: 99%

“…In particular, a brain-based marker of chronic pain could be immensely helpful for the diagnosis, prognosis, classification, prevention, and treatment of pain. 15,71 Accordingly, the feasibility, limitations, and perspectives of brain-based markers of pain are currently intensively discussed in the pain research community 15,50,64 and beyond. 43,56,84 Recent functional magnetic resonance imaging (fMRI) studies have made important first steps towards such a brain-based marker of experimental 80 and chronic pain.…”

Section: Introductionmentioning

confidence: 99%

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Brain dysfunction in chronic pain patients assessed by resting-state electroencephalography

Dinh

Nickel

Tiemann

et al. 2019

Pain

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Chronic pain is a common and severely disabling disease whose treatment is often unsatisfactory. Insights into the brain mechanisms of chronic pain promise to advance the understanding of the underlying pathophysiology and might help to develop disease markers and novel treatments. Here, we systematically exploited the potential of electroencephalography to determine abnormalities of brain function during the resting state in chronic pain. To this end, we performed state-of-the-art analyses of oscillatory brain activity, brain connectivity, and brain networks in 101 patients of either sex suffering from chronic pain. The results show that global and local measures of brain activity did not differ between chronic pain patients and a healthy control group. However, we observed significantly increased connectivity at theta (4-8 Hz) and gamma (.60 Hz) frequencies in frontal brain areas as well as global network reorganization at gamma frequencies in chronic pain patients. Furthermore, a machine learning algorithm could differentiate between patients and healthy controls with an above-chance accuracy of 57%, mostly based on frontal connectivity. These results suggest that increased theta and gamma synchrony in frontal brain areas are involved in the pathophysiology of chronic pain. Although substantial challenges concerning the reproducibility of the findings and the accuracy, specificity, and validity of potential electroencephalography-based disease markers remain to be overcome, our study indicates that abnormal frontal synchrony at theta and gamma frequencies might be promising targets for noninvasive brain stimulation and/or neurofeedback approaches.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Brain dysfunction in chronic pain patients assessed by resting-state electroencephalography

Dinh

Nickel

Tiemann

et al. 2019

Pain

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“…Whether this phenomenon is specific for CRPS or applies to all kinds of hand immobilization is currently unknown. For more information about functional imaging in CRPS, we refer the reader to reviews that concentrate on this field of research 25,26 .…”

Section: Diagnostic Features and Biomarkersmentioning

confidence: 99%

Complex regional pain syndrome — phenotypic characteristics and potential biomarkers

et al. 2018

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Complex regional pain syndrome (CRPS) is a pain condition that usually affects a single limb, often following an injury. The underlying pathophysiology seems to be complex and probably varies between patients. Clinical diagnosis is based on internationally agreed-upon criteria, which consider the reported symptoms, presence of signs and exclusion of alternative causes. Research into CRPS biomarkers to support patient stratification and improve diagnostic certainty is an important scientific focus, and recent progress in this area provides an opportunity for an up-to-date topical review of measurable disease-predictive, diagnostic and prognostic parameters. Clinical and biochemical attributes of CRPS that may aid diagnosis and determination of appropriate treatment are delineated. Findings that predict the development of CRPS and support the diagnosis include trauma-related factors, neurocognitive peculiarities, psychological markers, and local and systemic changes that indicate activation of the immune system. Analysis of signatures of non-coding microRNAs that could predict the treatment response represents a new line of research. Results from the past 5 years of CRPS research indicate that a single marker for CRPS will probably never be found; however, a range of biomarkers might assist in clinical diagnosis and guide prognosis and treatment.

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“…The gap between animal and human studies is large (and growing), and models should increasingly use results and concepts from animal neuroscience to constrain and corroborate human predictive models. 140…”

Section: Discussionmentioning

confidence: 99%

Neuroimaging-based biomarkers for pain: state of the field and current directions

Miesen

Lindquist

Wager

2019

PR9

103

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Chronic pain is an endemic problem involving both peripheral and brain pathophysiology. Although biomarkers have revolutionized many areas of medicine, biomarkers for pain have remained controversial and relatively underdeveloped. With the realization that biomarkers can reveal pain-causing mechanisms of disease in brain circuits and in the periphery, this situation is poised to change. In particular, brain pathophysiology may be diagnosable with human brain imaging, particularly when imaging is combined with machine learning techniques designed to identify predictive measures embedded in complex data sets. In this review, we explicate the need for brain-based biomarkers for pain, some of their potential uses, and some of the most popular machine learning approaches that have been brought to bear. Then, we evaluate the current state of pain biomarkers developed with several commonly used methods, including structural magnetic resonance imaging, functional magnetic resonance imaging and electroencephalography. The field is in the early stages of biomarker development, but these complementary methodologies have already produced some encouraging predictive models that must be tested more extensively across laboratories and clinical populations.

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A critical evaluation of validity and utility of translational imaging in pain and analgesia: Utilizing functional imaging to enhance the process

Cited by 24 publications

References 229 publications

Brain dysfunction in chronic pain patients assessed by resting-state electroencephalography

Brain dysfunction in chronic pain patients assessed by resting-state electroencephalography

Complex regional pain syndrome — phenotypic characteristics and potential biomarkers

Neuroimaging-based biomarkers for pain: state of the field and current directions

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