ReviewTranslational psychiatry2017
Progress and roadblocks in the search for brain-based biomarkers of autism and attention-deficit/hyperactivity disorder.
Review in Translational psychiatry, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05602311 (Effects of General Anesthesia on Brain Functional Connectivity and Cognition in Children With Potential Neurological Damage), which is not on this map. Cited by 85 papers, 5 of them syntheses 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.
Effects of General Anesthesia on Brain Functional Connectivity and Cognition in Children With Potential Neurological Damage
Who cites it
85 citing papers in PubMed, 5 syntheses or guidelines pooled it, 175 citations in OpenAlex.
- The Impact of Maternal Smoking During Pregnancy on Depressive and Anxiety Behaviors in Offspring: A Meta-analysis.Depression and anxiety · 2025Pooled it
- Diagnostic accuracy of miRNAs in attention-deficit/hyperactivity disorder: a systematic review and meta-analysis.Frontiers in public health · 2025Pooled it
- Do ASD and ADHD Have Distinct Executive Function Deficits? A Systematic Review and Meta-Analysis of Direct Comparison Studies.Journal of attention disorders · 2023Pooled it
- Towards a brain-based predictome of mental illness.Human brain mapping · 2020Pooled it
- Resting-state abnormalities in Autism Spectrum Disorders: A meta-analysis.Scientific reports · 2019Pooled it
- Brain morphology network profiles in male and female youth with autism.Cerebral cortex (New York, N.Y. : 1991) · 2026Article
- Underrecognition of Autism and Implications for Adult Psychiatric Practice: A Narrative Review.Cureus · 2026Review
- Measuring Accuracy (Classification Probabilities, Positive, and Negative Predictive Values) of Executive Function Electroencephalogram Metrics in Attention-Deficit/Hyperactivity Disorder Diagnosis: Protocol for and Perspectives From the SINCRONIA Study.JMIR research protocols · 2026Article
- Integrating Gut-Brain Axis: Exploring the Neurogastrointestinal Interactions and Therapeutic Potentials in Autism Spectrum Disorder.Endocrine, metabolic & immune disorders drug targets · 2026Review
- Intercultural Cognitive Pragmatics as a tool for understanding autism.Frontiers in human neuroscience · 2026Article
- Closed-loop pathways associated with clinical symptoms in children with autism spectrum disorder: a complex network analysis.Quantitative imaging in medicine and surgery · 2025Article
- Autism Spectrum Disorder: What Do We Know and Where Do We Go?Brain sciences · 2025Review
- Leveraging and Harnessing Generative Artificial Intelligence to Mitigate the Burden of Neurodevelopmental Disorders (NDDs) in Children.Healthcare (Basel, Switzerland) · 2025Article
- Autism Digital Phenotyping in Preschool- and School-Age Children.Autism research : official journal of the International Society for Autism Research · 2025Article
- Exploring voice as a digital phenotype in adults with ADHD.Scientific reports · 2025Article
- Review
- Biomarkers for autism spectrum disorder: a short review.Annals of medicine and surgery (2012) · 2024Review
- Article
- Spatial-Temporal Characteristics of Brain Activity in Autism Spectrum Disorder Based on Hidden Markov Model and Dynamic Graph Theory: A Resting-State fMRI Study.Brain sciences · 2024Article
- Response stopping under conflict: The integrative role of representational dynamics associated with the insular cortex.Human brain mapping · 2024Article
25 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 1 country.
Funding
Abstract
Children with neurodevelopmental disorders benefit most from early interventions and treatments. The development and validation of brain-based biomarkers to aid in objective diagnosis can facilitate this important clinical aim. The objective of this review is to provide an overview of current progress in the use of neuroimaging to identify brain-based biomarkers for autism spectrum disorder (ASD) and attention-deficit/hyperactivity disorder (ADHD), two prevalent neurodevelopmental disorders. We summarize empirical work that has laid the foundation for using neuroimaging to objectively quantify brain structure and function in ways that are beginning to be used in biomarker development, noting limitations of the data currently available. The most successful machine learning methods that have been developed and applied to date are discussed. Overall, there is increasing evidence that specific features (for example, functional connectivity, gray matter volume) of brain regions comprising the salience and default mode networks can be used to discriminate ASD from typical development. Brain regions contributing to successful discrimination of ADHD from typical development appear to be more widespread, however there is initial evidence that features derived from frontal and cerebellar regions are most informative for classification. The identification of brain-based biomarkers for ASD and ADHD could potentially assist in objective diagnosis, monitoring of treatment response and prediction of outcomes for children with these neurodevelopmental disorders. At present, however, the field has yet to identify reliable and reproducible biomarkers for these disorders, and must address issues related to clinical heterogeneity, methodological standardization and cross-site validation before further progress can be achieved.
Indexed as
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What OpenQuestion holds
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.