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Journal ArticleDOI

The Neural Code for Pain: From Single-Cell Electrophysiology to the Dynamic Pain Connectome:

TLDR
This review revisits the single-cell electrophysiological evidence for a nociceptive neural code and considers how those findings relate to recent advances in understanding systems-level dynamic processes that suggest the existence of a “dynamic pain connectome” as a spatiotemporal physiological signature of pain.
Abstract
Pain occurs in time. In naturalistic settings, pain perception is sometimes stable but often varies in intensity and quality over the course of seconds, minutes, and days. A principal aim in classic electrophysiology studies of pain was to uncover a neural code based on the temporal patterns of single neuron firing. In contrast, modern neuroimaging studies have placed emphasis on uncovering the spatial pattern of brain activity (or “map”) that may reflect the pain experience. However, in the emerging field of connectomics, communication within and among brain networks is characterized as intrinsically dynamic on multiple time scales. In this review, we revisit the single-cell electrophysiological evidence for a nociceptive neural code and consider how those findings relate to recent advances in understanding systems-level dynamic processes that suggest the existence of a “dynamic pain connectome” as a spatiotemporal physiological signature of pain. We explore how spontaneous activity fluctuations in this ...

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Citations
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Journal ArticleDOI

Brain imaging tests for chronic pain: medical, legal and ethical issues and recommendations

TL;DR: The task force concludes that the use of brain imaging findings to support or dispute a claim of chronic pain — effectively as a pain lie detector — is not warranted, but that imaging should be used to further the authors' understanding of the mechanisms underlying pain.
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Opioids for the Treatment of Chronic Pain: Mistakes Made, Lessons Learned, and Future Directions.

TL;DR: What has been learned since opioid treatment of chronic pain was first popularized at the end of the 20th century and how this new information can guide chronic pain management in the future are focused on.
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The search for pain biomarkers in the human brain.

TL;DR: The evidence is critically reviewed, and the utility of brain biomarkers for achieving mechanism-based patient stratification, predicting treatment responses and offering personalized treatments is examined.
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Brodmann area 10: Collating, integrating and high level processing of nociception and pain

TL;DR: The evidence suggests that BA 10 may play a critical role in the collation, integration and high‐level processing of nociception and pain, but also reveals possible functional distinctions between the subregions of BA 10 in this process.
References
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Journal ArticleDOI

Functional connectivity in the motor cortex of resting human brain using echo-planar MRI.

TL;DR: It is concluded that correlation of low frequency fluctuations, which may arise from fluctuations in blood oxygenation or flow, is a manifestation of functional connectivity of the brain.
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The Pain Catastrophizing Scale: Development and validation.

TL;DR: In this paper, the Pain Catastrophizing Scale (PCS) was administered to 425 undergraduates and a three component solution comprising (a) rumination, (b) magnification, and (c) helplessness.
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Spontaneous fluctuations in brain activity observed with functional magnetic resonance imaging.

TL;DR: Recent studies examining spontaneous fluctuations in the blood oxygen level dependent (BOLD) signal of functional magnetic resonance imaging as a potentially important and revealing manifestation of spontaneous neuronal activity are reviewed.
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Functional connectivity in the resting brain: A network analysis of the default mode hypothesis

TL;DR: This study constitutes, to the knowledge, the first resting-state connectivity analysis of the default mode and provides the most compelling evidence to date for the existence of a cohesive default mode network.
Journal ArticleDOI

The McGill Pain Questionnaire: major properties and scoring methods.

TL;DR: The McGill Pain Questionnaire as discussed by the authors consists of three major classes of word descriptors (sensory, affective and evaluative) that are used by patients to specify subjective pain experience.
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