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Record W2568149422 · doi:10.1213/ane.0000000000001790

Pain and the Conscious Brain

2017· article· en· W2568149422 on OpenAlexaboutno aff
James P. Rathmell

Bibliographic record

VenueAnesthesia & Analgesia · 2017
Typearticle
Languageen
FieldNeuroscience
TopicPain Management and Placebo Effect
Canadian institutionsnot available
Fundersnot available
KeywordsConsciousnessPerceptionSet (abstract data type)MedicineCognitive scienceCognitive psychologyPsychologyNeuroscience

Abstract

fetched live from OpenAlex

Pain and the Conscious Brain is a new paperback, part of a series from the International Association for the Study of Pain, that brings together some of the world’s leading neuroscientists to offer their thoughts on the relationships between the brain, pain, and human consciousness. When asked to review this book, I happily agreed; I am always ready to learn. A few days later, the small paperback arrived: It was 240 pages in length, spanned 16 chapters, and covered topics such as “Pain and Spatial Boundaries of the Bodily Self” and “The Neuroevolutionary Sources of Consciousness and Affect.” What was I thinking? Perhaps I should return the text and beg forgiveness for even thinking I could offer potential readers any insights about such abstract material. I then began to read. What had the authors set out to accomplish? Garcia-Larrea in Lyon, France, and Jackson in Quebec City, Canada, have dedicated their careers to gaining a better understanding of pain and its relationship to the structure and function of the human brain. They tell us, “Consciousness is a unique achievement of the human brain. Sensory receptors in the body convert physical stimuli in to patterns of nerve impulses that are projected to specific areas of the brain. In those areas an extraordinary event occurs: The continuous flow of nerve impulses is transformed into our perception of our body and the environment we live in.” Nicely stated, but I am still not sure why they wrote this text or how I might relate this to the clinical treatment of patients with pain. “One of the perceptions is pain,” they continue. “Some pains are generated by observable physical events…other pains such as phantom limb pain…are generated in the brain…this unique book [is] devoted to understanding the brain mechanisms that generate the conscious experience of pain.” Maybe, just maybe, there is something here for the clinician to learn. Section 1 is dedicated to providing readers with a better understanding of consciousness, from being awake to being aware. Topics include the neurobiology of coma, vegetative and minimally conscious states, and a chapter that fully explores the neuroanatomy and the neurobiology of consciousness. The section ends with an outstanding chapter on the current state of using neuroimaging to understand pain in humans, summarizing the wealth of evidence showing that pain experiences require coordinated activity across many regions in the brain and emphasizing that there is no single “pain center” within the brain. Section 2 focuses on how the experience of pain can be altered by modulating consciousness. There are detailed and easily understandable discussions of pain perception during sleep and the intersection of consciousness, the placebo effect, and the perception of pain. The scientific underpinnings of how mindfulness and meditative practices can alter the conscious perception of pain are explained. Of notable interest to anesthesiologists is a lucid summary of studies using functional neuroimaging to tease out the changes in cortical activity that accompany loss of consciousness during induction of general anesthesia. Similar techniques may prove useful in identifying analgesic drugs and their cortical targets in drug discovery. Section 3 is a fascinating tour through various neurologic disorders and their relative effects on the perception of pain. These essays are a stern reminder that pain processing often is largely intact, even in extremely premature infants and those in minimally conscious states or with dementia. For the clinician, this section is particularly informative, reviewing how development of functional pain perception occurs in the fetus and how to assess pain in those who cannot communicate verbally. “Behind and Beyond Consciousness of Pain,” Section 4, begins with a discussion of the link between attention, emotions, and pain. It turns out that unpleasant odors increase the perceived intensity and unpleasantness of reported pain. Even odder, observing another individual who experiences a painful experience leads to changes in the brain and increased intensity of subsequent pain. “Pain in the Robot,” the final chapter, is a strange thought experiment of which only a neuroscientist could dream. This exploration of pain and how it helps us (and potentially could help machines) to learn to form sensory experiences is fascinating. Sensory stimuli help us to map out a schema that defines the contour of our own bodily self, and pain and its links to emotion provide for motivation and learning that mold our behavior. A robot that could experience pain could gain self-knowledge and learn to become more autonomous through experience. Pain and the Conscious Brain is firmly in the realm of the neuroscientist and will best serve other scientists who are probing the relationship between pain and human consciousness. For we clinicians, the text is an inexpensive and thought-provoking assembly of essays that informs us thoroughly about the scientific underpinnings of pain perception and its relationship to consciousness. The writings can help us to better understand those suffering with pain across a wide range of states of consciousness. These elite scientists and their work also serve to inspire us and give us hope that new discoveries will soon improve upon the less than effective pain treatments that exist today. James P. Rathmell, MDDepartment of Anesthesiology, Perioperative andPain MedicineBrigham and Women's HospitalBoston, Massachusetts

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.008
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0020.014
Scholarly communication0.0080.007
Open science0.0010.002
Research integrity0.0030.007
Insufficient payload (model declined to judge)0.0080.002

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.018
GPT teacher head0.257
Teacher spread0.238 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations18
Published2017
Admission routes1
Has abstractyes

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