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Record W2298525988 · doi:10.1002/ana.24642

Human cerebral circuitry related to cardiac control: A neuroimaging meta‐analysis

2016· review· en· W2298525988 on OpenAlexafffund
Estefanía Ruíz Vargas, Peter Sörös, J. Kevin Shoemaker, Vladimir Hachinski

Bibliographic record

VenueAnnals of Neurology · 2016
Typereview
Languageen
FieldMedicine
TopicHeart Rate Variability and Autonomic Control
Canadian institutionsLondon Health Sciences CentreWestern University
FundersCanadian Space Agency
KeywordsInsulaNeuroimagingInsular cortexHeart rateMeta-analysisHeart rate variabilityNeuroscienceAnterior cingulate cortexPsychologyArousalFunctional neuroimagingAmygdalaStroke (engine)Prefrontal cortexMedicineCardiologyInternal medicineCognitionBlood pressure

Abstract

fetched live from OpenAlex

Serious arrhythmias often follow stroke, highlighting the important role that the cerebral cortex has in neural regulation of the heart. Neuroimaging studies reveal patterns of activation associated with autonomic cardiovascular responses. Using the activation likelihood estimation, a meta-analysis was performed to identify cortical activation patterns related to heart rate and heart rate variability across studies that used differing stimuli of cardiovascular arousal. Consistent associations with heart rate and heart rate variability were observed in the anterior cingulate, amygdala, insula, and prefrontal cortex, among others. Also, evidence is provided of insular lateralization associated with autonomic cardiac responses. Ann Neurol 2016;79:709-716.

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)0.004
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: Meta-analysis
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.004
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.008
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0040.010
Bibliometrics0.0020.003
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.150
GPT teacher head0.408
Teacher spread0.258 · 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 designMeta-analysis
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

Citations94
Published2016
Admission routes2
Has abstractyes

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