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Record W4391044944 · doi:10.1101/2024.01.18.576065

Claustrum projections to the anterior cingulate modulate nociceptive and pain-associated behaviour

2024· preprint· en· W4391044944 on OpenAlexafffund
Christian A. Faig, Gloria Kim, Alison Do, Zoë Dworsky-Fried, Jesse Jackson, Anna M.W. Taylor

Bibliographic record

VenuebioRxiv (Cold Spring Harbor Laboratory) · 2024
Typepreprint
Languageen
FieldMedicine
TopicPain Mechanisms and Treatments
Canadian institutionsWomen and Children’s Health Research InstituteUniversity of Alberta
FundersFaculty of Medicine and Dentistry, University of AlbertaCanadian Institutes of Health Research
KeywordsAnterior cingulate cortexNociceptionClaustrumChronic painNeuroscienceContext (archaeology)PathologicalCingulate cortexLesionPsychologyAcute painMedicineAnesthesiaInternal medicineCentral nervous systemCognitionPsychiatryBiologyNucleusReceptor

Abstract

fetched live from OpenAlex

Abstract The anterior cingulate cortex (ACC) processes nociceptive information and pain unpleasantness. The claustrum is a subcortical region that provides robust feed-forward inhibition onto the ACC, suggesting this circuit could play a role in modulating pathological states such as pain. However, the function of this circuit in the context of acute and chronic inflammatory pain is unclear. Here, we show that claustrocingulate neurons exhibit a bimodal pattern of activation following acute pain but are suppressed during states of chronic inflammatory pain. Molecular lesion and chemogenetic suppression of claustrocingulate neurons increased acute nociception but interfered with pain learning. Activation of this pathway rescued mechanical allodynia associated with chronic pain. Together, these results suggest claustrocingulate neurons are a critical component of the pain neuromatrix, and dysregulation of this connection may contribute to chronic pain.

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.014
GPT teacher head0.247
Teacher spread0.233 · 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 designBench or experimental
Domainnot available
GenreEmpirical

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

Citations0
Published2024
Admission routes2
Has abstractyes

Explore more

Same venuebioRxiv (Cold Spring Harbor Laboratory)→Same topicPain Mechanisms and Treatments→French-language works237,207→