Neuroplasticity in autism spectrum disorder: a systematic review
Bibliographic record
Abstract
The brain's ability to adapt in response to stimuli is called neuroplasticity. Objective: This study investigates neuroplasticity in autistic individuals, focusing on neurobiological aspects, clinical correlations, and therapeutic interventions. Methods: This systematic review, registered in the International Prospective Register of Systematic Reviews-PROSPERO (ID: CRD42024522425) and guided by Preferred Reporting Items for Systematic Reviews and Meta-Analyses-PRISMA (2020) criteria, searched databases like Web of Science, Scopus, United States National Library of Medicine/ Medical Literature Analysis and Retrieval System Online (PubMed/Medline), Latin American and Caribbean Health Sciences Literature (LILACS), and Scientific Electronic Library Online (SciELO) for original articles published in 2018-2023. Results: Of the 2,316 studies found, 11 were selected, involving 1,943 autistic individuals, both children and adults. Most studies were classified as high/moderate quality using the Newcastle-Ottawa and Jadad scales. Observations included variations in SHANK2 gene expression, lower concentrations of α-synuclein, higher β-synuclein in children with autism spectrum disorder (ASD), correlations between NCAM1 expression and motor skills, and higher brain-derived neurotrophic factor (BDNF) concentration compared to non-autistic children. Conclusions: Alterations in SHANK2, α-synuclein, β-synuclein, NCAM1, and BDNF in ASD suggest biomarkers and therapeutic targets for more effective interventions, improving care for autistic individuals.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.001 |
| Bibliometrics | 0.001 | 0.005 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 0.002 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
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".