ReviewBrain sciences2022
Neuroimaging Techniques as Descriptive and Diagnostic Tools for Infants at Risk for Autism Spectrum Disorder: A Systematic Review.
Review in Brain sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
15 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Neural correlates and predictors of speech and language development in infants at elevated likelihood for autism: a systematic review.Frontiers in human neuroscience · 2023Pooled it
- Cognitive and Motor Development in Autistic Children: A Multi-Modal Feasibility Study Combining Neuroimaging and Virtual Reality Paradigms.Brain sciences · 2026Article
- Forensic neuroimaging in childhood abduction, rape and murder case and trial outcome.Psychiatry, psychology, and law : an interdisciplinary journal of the Australian and New Zealand Association of Psychiatry, Psychology and Law · 2026Article
- Deep Learning Approaches for Classifying Children With and Without Autism Spectrum Disorder Using Inertial Measurement Unit Hand Tracking Data: Comparative Study.JMIR medical informatics · 2025Article
- Use οf the Forging Alliances in Interdisciplinary Rehabilitation Research (FAIRR) Model to Develop an Intervention Using a Mixed Methods Approach.Journal of musculoskeletal & neuronal interactions · 2025Article
- Leveraging AI-Driven Neuroimaging Biomarkers for Early Detection and Social Function Prediction in Autism Spectrum Disorders: A Systematic Review.Healthcare (Basel, Switzerland) · 2025Review
- The Intersection of Variability in Gross Motor Performance and Adaptive Behavior in Young Autistic Children: Combining Video Data Analysis and Standardized Assessments.Autism research : official journal of the International Society for Autism Research · 2025Article
- Sensory-movement underpinnings of lifelong neurodivergence: getting a grip on autism.Frontiers in integrative neuroscience · 2025Article
- AI-assisted early screening, diagnosis, and intervention for autism in young children.Frontiers in psychiatry · 2025Review
- Article
- Dopamine Dysregulation in Reward and Autism Spectrum Disorder.Brain sciences · 2024Review
- Assistive tools for classifying neurological disorders using fMRI and deep learning: A guide and example.Brain and behavior · 2024Article
- A Potential Biomarker of Brain Activity in Autism Spectrum Disorders: A Pilot fNIRS Study in Female Preschoolers.Brain sciences · 2023Article
- Global and Regional Structural Differences and Prediction of Autistic Traits during Adolescence.Brain sciences · 2022Article
- Insights on dental care management and prevention in children with autism spectrum disorder (ASD). What is new?Frontiers in oral health · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Autism Spectrum Disorder (ASD) has traditionally been evaluated and diagnosed via behavioral assessments. However, increasing research suggests that neuroimaging as early as infancy can reliably identify structural and functional differences between autistic and non-autistic brains. The current review provides a systematic overview of imaging approaches used to identify differences between infants at familial risk and without risk and predictive biomarkers. Two primary themes emerged after reviewing the literature: (1) neuroimaging methods can be used to describe structural and functional differences between infants at risk and infants not at risk for ASD (
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.