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The Cardiac Rhythm of the Unconscious in a Case of Panic Disorder

2016· article· en· W2525415729 on OpenAlexaff
Gilles Fleury, Benjamin Fortin-Langelier, Imen Ben-Cheikh

Bibliographic record

VenueAmerican Journal of Psychotherapy · 2016
Typearticle
Languageen
FieldMedicine
TopicHeart Rate Variability and Autonomic Control
Canadian institutionsMontfort Hospital
Fundersnot available
KeywordsUnconscious mindPanic disorderPanicRhythmPsychologyPsychoanalysisMedicinePsychiatryInternal medicineAnxiety

Abstract

fetched live from OpenAlex

The field of psychodynamic psychotherapy would benefit from a comprehensive model that integrates its constructs with neurobiology. Research on the autonomic nervous system activity during the psychotherapeutic process is necessary because it is key in affective experiences and defensive behavior. The current case study reports physiological findings on heart rate dynamics in a patient suffering from panic disorder during two therapeutic sessions in which we used Davanloo's Intensive Short-term Dynamic Psychotherapy. We looked at various metrics of heart rate variability during the therapeutic process leading to breakthrough of unconscious feelings. The measurements included sympathetic and parasympathetic indices, vagal tone, and their responses. Our results suggest that the sympathetic system activates during defensive responses associated with anxiety and during the passage of unconscious-aggressive impulses. Following the experience of unconscious guilt, there is an increased vagal tone corresponding to the phase of reunification with the attachment figure. Findings are discussed integrating developmental neurobiology and clinical psychodynamics.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0000.001
Research integrity0.0020.002
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 head0.006
GPT teacher head0.270
Teacher spread0.265 · 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 designCase report
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

Citations5
Published2016
Admission routes1
Has abstractyes

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