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Record W2114101821 · doi:10.2174/157339607779941660

Fragile X Syndrome and Autism: Common Developmental Pathways?

2007· article· en· W2114101821 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

VenueCurrent Pediatric Reviews · 2007
Typearticle
Languageen
FieldNeuroscience
TopicAutism Spectrum Disorder Research
Canadian institutionsMcGill University
Fundersnot available
KeywordsFragile X syndromeAutismDevelopmental disorderPsychological interventionCognitionEtiologyWilliams syndromeEarly childhoodDevelopmental cognitive neurosciencePervasive developmental disorderMedicineDevelopmental psychologyPsychologyIdentification (biology)NeurosciencePsychiatryCognitive neuroscienceBiology

Abstract

fetched live from OpenAlex

Identifying atypical trajectories that distinguish children with differing developmental disorders from each other and from typically developing children is a potentially powerful tool for early ascertainment and treatment of syndrome specific proficiencies and deficiencies. The past decade has seen unparalleled advances in the fields of molecular genetics, pediatrics, developmental cognitive neuroscience and brain imaging. Collaboratively, these advances have facilitated our understanding of how genes can impact upon early development, through the identification of specific patterns of cognitive and behavior processing and the deficits in these domains that are typical to a specific developmental disorder. These advances have also made early diagnoses possible for many developmental disorders, including those for which genetic etiology has yet to be determined, such as is the case for most individuals with autism, or disorders such as fragile X syndrome that result from the silencing of a single gene. This early identification necessitates thorough investigation of the impact of a condition across the lifespan beginning in early childhood when interventions are most likely to have significant benefit. This is especially relevant for disorders that at first glance appear to share overlapping behavioral and clinical symptomology. In the case of autism and fragile X syndrome, commonalties in social and communication profiles are now well documented in early childhood. However, to what degree symptom overlap implies common developmental pathways or etiologies remains unclear. The focus of this review will be to critically evaluate whether so called commonalities in phenotypic outcomes actually reflect very different developmental pathways that diverge over developmental time and across syndromes. More detailed knowledge of these profiles will facilitate early timing of tailored interventions that will promote optimal development resulting in significant educational, clinical, and adaptive benefits across a childs lifespan. Keywords: Fragile X syndrome, autism, behavioral phenotypes, atypical developmental pathways, language, social interaction

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.807
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0000.001

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 head0.093
GPT teacher head0.344
Teacher spread0.251 · 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