ReviewPsychiatry and clinical neurosciences2020
Identifying electrophysiological markers of autism spectrum disorder and schizophrenia against a backdrop of normal brain development.
Review in Psychiatry and clinical neurosciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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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.
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Who cites it
22 citing papers in PubMed, 34 citations in OpenAlex.
- Extracellular vesicle profiling reveals novel autism signatures in patient-derived forebrain organoids.Translational psychiatry · 2025Article
- White matter microstructure as a potential contributor to differences in resting state alpha activity between neurotypical and autistic children: a longitudinal multimodal imaging study.Molecular autism · 2025Article
- Resting-State Activity in Children: Replicating and Extending Findings of Early Maturation of Alpha Rhythms in Autism Spectrum Disorder.Journal of autism and developmental disorders · 2024Article
- Towards Biomarkers for Autism Spectrum Disorder: Contributions of Magnetoencephalography (MEG).Advances in neurobiology · 2024Review
- Both stronger and weaker cerebro-cerebellar functional connectivity patterns during processing of spoken sentences in autism spectrum disorder.Human brain mapping · 2023Article
- Differential Maturation of Auditory Cortex Activity in Young Children with Autism and Typical Development.Journal of autism and developmental disorders · 2023Article
- Recent Advances and Future Directions in Brain MR Imaging Studies in Schizophrenia: Toward Elucidating Brain Pathology and Developing Clinical Tools.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2022Article
- Dopaminergic dysfunction and excitatory/inhibitory imbalance in treatment-resistant schizophrenia and novel neuromodulatory treatment.Molecular psychiatry · 2022Review
- Application of a Machine Learning Algorithm for Structural Brain Images in Chronic Schizophrenia to Earlier Clinical Stages of Psychosis and Autism Spectrum Disorder: A Multiprotocol Imaging Dataset Study.Schizophrenia bulletin · 2022Article
- Association between the examination rate of treatment-resistant schizophrenia and the clozapine prescription rate in a nationwide dissemination and implementation study.Neuropsychopharmacology reports · 2022Article
- Trends in big data analyses by multicenter collaborative translational research in psychiatry.Psychiatry and clinical neurosciences · 2022Review
- Biomarkers for autism spectrum disorder: opportunities for magnetoencephalography (MEG).Journal of neurodevelopmental disorders · 2021Review
- Pediatric brain imaging research: Brain maturation constrains study design and clinical interpretation.Psychiatry and clinical neurosciences · 2021Article
- Altered maturation and atypical cortical processing of spoken sentences in autism spectrum disorder.Progress in neurobiology · 2021Article
- Recent updates of eye movement abnormalities in patients with schizophrenia: A scoping review.Psychiatry and clinical neurosciences · 2021Article
- MEG-PLAN: a clinical and technical protocol for obtaining magnetoencephalography data in minimally verbal or nonverbal children who have autism spectrum disorder.Journal of neurodevelopmental disorders · 2021Article
- Editorial: Current MEG Research in Psychiatry.Frontiers in psychiatry · 2021Article
- Maturation of Auditory Cortex Neural Activity in Children and Implications for Auditory Clinical Markers in Diagnosis.Frontiers in psychiatry · 2020Article
- Long-Term Test-Retest Reliability of Auditory Gamma Oscillations Between Different Clinical EEG Systems.Frontiers in psychiatry · 2020Article
- Neurophysiological Face Processing Deficits in Patients With Chronic Schizophrenia: An MEG Study.Frontiers in psychiatry · 2020Article
Corrections and comments
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Authors and funding
1 author at 1 institution in 1 country.
Funding
Abstract
An examination of electroencephalographic and magnetoencephalographic studies demonstrates how age-related changes in brain neural function temporally constrain their use as diagnostic markers. A first example shows that, given maturational changes in the resting-state peak alpha frequency in typically developing children but not in children who have autism spectrum disorder (ASD), group differences in alpha-band activity characterize only a subset of children who have ASD. A second example, auditory encoding processes in schizophrenia, shows that the complication of normal age-related brain changes on detecting and interpreting group differences in neural activity is not specific to children. MRI studies reporting group differences in the rate of brain maturation demonstrate that a group difference in brain maturation may be a concern for all diagnostic brain markers. Attention to brain maturation is needed whether one takes a DSM-5 or a Research Domain Criteria approach to research. For example, although there is interest in cross-diagnostic studies comparing brain measures in ASD and schizophrenia, such studies are difficult given that measures are obtained in one group well after and in the other much closer to the onset of symptoms. In addition, given differences in brain activity among infants, toddlers, children, adolescents, and younger and older adults, creating tasks and research designs that produce interpretable findings across the life span and yet allow for development is difficult at best. To conclude, brain imaging findings show an effect of brain maturation on diagnostic markers separate from (and potentially difficult to distinguish from) effects of disease processes. Available research with large samples already provides direction about the age range(s) when diagnostic markers are most robust and informative.
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Registered trials
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