ArticleStem cell reports2019
Dynamical Electrical Complexity Is Reduced during Neuronal Differentiation in Autism Spectrum Disorder.
Article in Stem cell reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
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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.
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Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.
- Mental health dished up-the use of iPSC models in neuropsychiatric research.Journal of neural transmission (Vienna, Austria : 1996) · 2020Pooled it
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- A semi-automated MEA spike sorting method for high-throughput assessment of cultured neurons.Stem cell reports · 2026Article
- Analysis of neuronal activity impairment in iPSC-derived neurons from idiopathic autism patients.iScience · 2025Article
- A dynamical systems framework for precision psychiatry.NPJ digital medicine · 2025Review
- Multi-omic analysis of the ciliogenic transcription factorbioRxiv : the preprint server for biology · 2025Article
- iPSC-derived models of PACS1 syndrome reveal transcriptional and functional deficits in neuron activity.Nature communications · 2024Article
- Utilizing machine learning algorithms to predict subject genetic mutation class from in silico models of neuronal networks.BMC medical informatics and decision making · 2022Article
- Review
Corrections and comments
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Authors and funding
11 authors at 4 institutions in 3 countries.
Funding
Abstract
Neuronal activity can be modeled as a nonlinear dynamical system to yield measures of neuronal state and dysfunction. The electrical recordings of stem cell-derived neurons from individuals with autism spectrum disorder (ASD) and controls were analyzed using minimum embedding dimension (MED) analysis to characterize their dynamical complexity. MED analysis revealed a significant reduction in dynamical complexity in ASD neurons during differentiation, which was correlated to bursting and spike interval measures. MED was associated with clinical endpoints, such as nonverbal intelligence, and was correlated with 53 differentially expressed genes, which were overrepresented with ASD risk genes related to neurodevelopment, cell morphology, and cell migration. Spatiotemporal analysis also showed a prenatal temporal enrichment in cortical and deep brain structures. Together, we present dynamical analysis as a paradigm that can be used to distinguish disease-associated cellular electrophysiological and transcriptional signatures, while taking into account patient variability in neuropsychiatric disorders.
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Registered trials
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