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Age-related differences in default-mode network connectivity in response to intermittent theta-burst stimulation and its relationships with maintained cognition and brain integrity in healthy aging

2018· article· en· W2901739937 on OpenAlexfundno aff
Kilian Abellaneda‐Pérez, Lídia Vaqué‐Alcázar, Didac Vidal‐Piñeiro, Ali Jannati, Elisabeth Solana, Núria Bargalló, Emiliano Santarnecchi, Álvaro Pascual‐Leone, David Bartrés‐Faz

Bibliographic record

VenueNeuroImage · 2018
Typearticle
Languageen
FieldNeuroscience
TopicFunctional Brain Connectivity Studies
Canadian institutionsnot available
FundersEunice Kennedy Shriver National Institute of Child Health and Human DevelopmentNational Center for Advancing Translational SciencesNational Center for Research ResourcesNatural Sciences and Engineering Research Council of CanadaCanadian Institutes of Health ResearchHarvard CatalystIntelligence Advanced Research Projects ActivityMinisterio de Educación, Cultura y DeporteDefense Advanced Research Projects AgencyFederación Española de Enfermedades RarasHarvard UniversityNational Institute of Mental HealthBeth Israel Deaconess Medical CenterNational Institutes of HealthMinisterio de Economía y CompetitividadNational Institute of Neurological Disorders and StrokeOffice of the Director of National IntelligenceSidney R. Baer, Jr. Foundation
KeywordsDefault mode networkPsychologyCognitionFunctional magnetic resonance imagingResting state fMRICognitive declineNeuroscienceEffects of sleep deprivation on cognitive performanceNeuroplasticityAudiologyAging brainStimulationFunctional connectivityYoung adultMedicineDevelopmental psychologyInternal medicineDementia

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

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)0.002
metaresearch head score (Gemma)0.017
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.096
Threshold uncertainty score0.991

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.017
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.075
GPT teacher head0.314
Teacher spread0.240 · 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.

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

Citations65
Published2018
Admission routes1
Has abstractno

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