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Developmental effects of perinatal exposure to extremely weak 7 Hz magnetic fields and nitric oxide modulation in the Wistar albino rat

2007· article· en· W2065739585 on OpenAlexafffund
Paul D. Whissell, Michael A. Persinger

Bibliographic record

VenueInternational Journal of Developmental Neuroscience · 2007
Typearticle
Languageen
FieldMedicine
TopicBirth, Development, and Health
Canadian institutionsLaurentian University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsNitric oxideNitric oxide synthaseOffspringArginineEndocrinologyChemistryInternal medicineWeaningMedicineBiologyPregnancyBiochemistry

Abstract

fetched live from OpenAlex

Prenatal exposure of pregnant dams to oscillating magnetic fields can cause behavioural deficits in their offspring which persist into adulthood. These changes are waveform-specific and may involve nitric oxide. To investigate the interaction between nitric oxide modulation and perinatal magnetic fields, dams were exposed from 2 days before to 14 days after birth to one of six magnetic field conditions (1, 5, 10, 50 or 500 nT or sham) and given either water, 1g/L nitric oxide precursor l-arginine or 0.5 g/L nitric oxide synthase inhibitor n-methylarginine. At weaning (22d), their offspring were placed in the open field for observation. Rats given 50 nT field or 500 nT field+water were hyperactive and showed increased rearing and bodyweight. These strong effects were attenuated or absent in groups given 50 or 500 nT field+n-methylarginine. Groups given sham field+l-arginine were behaviourally similar to animals given 50 or 500 nT field+water. Higher intensity fields showed robust behavioural and physiological effects. In general, these effects were counteracted by co-administration of nitric oxide synthase inhibitor n-methylarginine, which had little effect on its own. Shams given NO precursor l-arginine were highly similar to those given any higher intensity magnetic field. Results support a critical developmental role of NO and the involvement of NO in magnetic field effects.

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)0.001
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.589
Threshold uncertainty score0.469

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
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 head0.018
GPT teacher head0.281
Teacher spread0.263 · 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 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

Citations21
Published2007
Admission routes2
Has abstractyes

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