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Autonomic and electrophysiological correlates of emotional intensity in older and younger adults

2008· article· en· W1989657261 on OpenAlexafffund
Jane Dywan, Karen J. Mathewson, Becky L. Choma, Brianna Rosenfeld, Sidney J. Segalowitz

Bibliographic record

VenuePsychophysiology · 2008
Typearticle
Languageen
FieldMedicine
TopicHeart Rate Variability and Autonomic Control
Canadian institutionsBrock University
FundersNatural Sciences and Engineering Research Council of CanadaOntario Innovation Trust
KeywordsSadnessPsychologyVagal toneElectrophysiologyCognitionDevelopmental psychologyAutonomic nervous systemAudiologyAnterior cingulate cortexEvent-related potentialNeuroscienceHeart rateClinical psychologyInternal medicineAngerMedicine

Abstract

fetched live from OpenAlex

Anterior cingulate cortex (ACC) is involved in the modulation of autonomic activity, emotional responsivity, and the monitoring of goal-directed behavior. However, these functions are rarely studied together to determine how they relate or whether their pattern of relation changes with age. We recorded respiratory sinus arrhythmia (RSA), an index of autonomic activity, error-related event related potentials (ERN/Pe), generated in ACC, and the self-reported intensity of 5 basic emotions in older and younger adults. Emotional intensity did not differ with age. The ERN/Pe and RSA were reduced with age and related specifically to sadness intensity for both groups. When examined together, RSA accounted for the relation between ERN/Pe and sadness. This is consistent with a model of medial prefrontal function in which autonomic processes mediate the relation between cognitive control and affective regulation, a pattern that also did not differ with age.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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)0.0010.000

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 head0.011
GPT teacher head0.240
Teacher spread0.229 · 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 designObservational
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

Citations46
Published2008
Admission routes2
Has abstractyes

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