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Record W2114101821 · doi:10.2174/157339607779941660

Fragile X Syndrome and Autism: Common Developmental Pathways?

2007· article· en· W2114101821 on OpenAlexaff
Kim Cornish, Jeremy Turk, Andrew Levitas

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0000.002
Scholarly communication0.0010.003
Open science0.0010.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.093
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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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

Citations38
Published2007
Admission routes1
Has abstractyes

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