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Record W2079514143 · doi:10.1080/10874200903543922

Pilot Project to Ascertain the Utility of Tower of London Test to Assess Outcomes of Neurofeedback in Clients with Asperger's Syndrome

2010· article· en· W2079514143 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Neurotherapy · 2010
Typearticle
Languageen
FieldNeuroscience
TopicAutism Spectrum Disorder Research
Canadian institutionsADD Centre
FundersUniversity of Oxford
KeywordsNeurofeedbackPsychologyTest (biology)Asperger syndromeClinical psychologyTowerPsychiatryAutism

Abstract

fetched live from OpenAlex

Introduction. Behavioral and cognitive improvements in clients with Asperger's Syndrome (AS), employing continuous performance tests (CPTs), intelligence and academic measures, and electroencephalographic data, have been reported following 40 sessions of neurofeedback (NFB) training combined with coaching in metacognitive strategies. However, measures of executive functions (EFs) in this population have not been commonly employed and NFB is still not commonly used as a treatment for AS. Therefore, this pilot project used Tower of London -Drexel University (ToL DX ), an individually administered test of EFs, in addition to the previously mentioned measures. The goal of the current study was to investigate the utility of ToL DX as an assessment tool for clients with AS as well as further study the effects of NFB and training in metacognitive strategies on executive functioning in clients with AS.

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.

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)0.001
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 score0.468
Threshold uncertainty score0.547

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.073
GPT teacher head0.362
Teacher spread0.289 · 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