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The Fundamental Basis of Palpitations: A Neurocardiology Approach

2021· review· en· W3196966781 on OpenAlexaff
Joshua W. Kandiah, Daniel M. Blumberger, Simon W. Rabkin

Bibliographic record

VenueCurrent Cardiology Reviews · 2021
Typereview
Languageen
FieldMedicine
TopicPsychosomatic Disorders and Their Treatments
Canadian institutionsUniversity of TorontoCentre for Addiction and Mental HealthUniversity of British Columbia
Fundersnot available
KeywordsPalpitationsMedicineNeuroscienceInsulaCardiologyPsychology

Abstract

fetched live from OpenAlex

BACKGROUND AND OBJECTIVE: Palpitations are a common symptom that may indicate cardiac arrhythmias, be a somatic complaint in anxiety disorders, and can be present in patients without either condition. The objective of this review was to explore the pathways and fundamental mechanisms through which individuals appreciate palpitations. OBSERVATIONS: Cardiac afferents provide beat-to-beat sensory information on the heart to the spinal cord, brain stem, and higher brain centers. Cardioception, a subset of interoception ('the physiological sense of the condition of the body'), refers to sensing of the heartbeat. High cardioception is present in persons with lower body mass index, lower percentages of body fat, and anxiety disorders. Low cardioception (lower interoceptive awareness) is associated with psychiatric disorders, such as depression, personality disorders, and schizophrenia. CNS sites associated with heartbeat detection have been identified by functional magnetic resonance imaging studies and heartbeat-evoked electroencephalogram potentials. The right insula, cingulate gyrus, somatomotor and somatosensory cortices nucleus accumbens, left subthalamic nucleus, and left ventral capsule/striatum are implicated in both palpitations and heartbeat detection. Involvement of the brain as a primary modulator of palpitations rests on the data that various areas of the brain are activated in association with cardioception, the ability of focal brain stimulation to induce palpitations, the ability of central alpha receptor agonists and antagonists to modulate palpitations, and suppression of palpitations by transcranial repetitive magnetic stimulation (rTMS). CONCLUSIONS: Palpitations should be viewed as a pathway extending from the heart to the brain. Palpitations are, in part, a reflection of an individual's cardioception awareness, which is modulated by body size, percentage of body fat, and psychological or psychiatric conditions. Palpitations can originate in the brain and involve central neurotransmitters. Treatment of palpitations unrelated to cardiac arrhythmias or anxiety disorders should consider the use of central alpha-2 agonists and possibly rTMS.

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)0.001
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: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.002
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.001

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 head0.159
GPT teacher head0.420
Teacher spread0.262 · 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

Citations10
Published2021
Admission routes1
Has abstractyes

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