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Record W2009836484 · doi:10.4236/jbbs.2014.46028

Progressive Obesity in Female Rats from Synergistic Interactions between Drugs and Whole Body Application of Weak, Physiologically Patterned Magnetic Fields

2014· article· en· W2009836484 on OpenAlexaff
Linda S. St-Pierre, Michael A. Persinger

Bibliographic record

VenueJournal of Behavioral and Brain Science · 2014
Typearticle
Languageen
FieldNeuroscience
TopicNeural dynamics and brain function
Canadian institutionsLaurentian University
Fundersnot available
KeywordsAcepromazineDoxepinWeight gainEndocrinologyPilocarpineKetamineInternal medicineObesityMedicineChemistryBody weightPharmacologyEpilepsyNeurosciencePsychologyAnesthesia

Abstract

fetched live from OpenAlex

Prepubescent female rats treated with the atypical neuroleptic acepromazine but not ketamine, prazosin, or doxepin, after lithium/pilocarpine-induced seizures gradually became obese over their lifetimes if spontaneous seizures developed. Mild increases in weight gain were induced when prepuberal females were given pilocarpine and acepromazine while being exposed briefly (1.5 hr) to a frequency-modulated magnetic field known to induce seizures. Weekly (1.5 hr) exposures to physiologically-patterned magnetic fields over 36 wks had no effect on weight gain while continuous periseizure exposure to 50 Hz fields above about 1 μT facilitated mild weight gains and protracted aggression. Perinatal exposure to a very weak, a 7 Hz magnetic field or a nitric oxide inhibitor retarded the weight gain induced by the obesity procedure. These results indicate that synergisms during a single episode between neuronal electrical lability and pharmacological states can initiate a process of weight gain that progresses to extreme obesity. We suggest that at least a component of the global “epidemic of obesity” could be related to a synergism between the insidious emergence of amplitude modulations within biologically compatible electromagnetic frequencies from the proliferation of communication systems and the pervasive utilization of pharmacology to treat transient disorders of ontogeny within the human population.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.886
Threshold uncertainty score0.247

Codex and Gemma teacher scores by category

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)0.0000.000

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 head0.025
GPT teacher head0.304
Teacher spread0.280 · 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 teacher head, 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
Published2014
Admission routes1
Has abstractyes

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