ArticleJournal of neuroscience methods2023
Electrophysiological and morphological characterization of single neurons in intact human brain organoids.
Article in Journal of neuroscience methods, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.
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Who cites it
13 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.
- Mapping the Cerebral Organoid Landscape: A Systematic Review of Preclinical 3D Models in Neuroscience.Advanced healthcare materials · 2026Pooled it
- Multilayered microelectrode array for monitoring electrophysiological signals of 3d neural networks in cerebral organoid.Microsystems & nanoengineering · 2026Article
- Generating and characterizing human telencephalic brain organoids from stem cell-derived single neural rosettes.Nature protocols · 2026Review
- Air-liquid interface-centered oxygen engineering in human brain organoids: intact, sliced, and microfluidic extensions.Frontiers in cell and developmental biology · 2026Review
- The emergence of electrical activity in human brain organoids.Stem cell reports · 2025Review
- Beyond Structure: Next-Generation Electrophysiological Platforms for Functional Brain Organoids.International journal of stem cells · 2025Review
- Modelling human brain development and disease with organoids.Nature reviews. Molecular cell biology · 2025Review
- Established and emerging new approach methodologies in neuroscience.Frontiers in neuroscience · 2025Review
- Development of spontaneous and sensory evoked network activity in rodent cerebral cortexFrontiers in cellular neuroscience · 2025Review
- Progress and potential of brain organoids in epilepsy research.Stem cell research & therapy · 2024Review
- Molecular pathology, developmental changes and synaptic dysfunction in (pre-) symptomatic human C9ORF72-ALS/FTD cerebral organoids.Acta neuropathologica communications · 2024Article
- Review
- Harnessing the potential of human induced pluripotent stem cells, functional assays and machine learning for neurodevelopmental disorders.Frontiers in neuroscience · 2024Review
Corrections and comments
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Authors and funding
8 authors at 2 institutions in 1 country.
Funding
Abstract
Brain organoids represent a new model system for studying developmental human neurophysiology. Methods for studying the electrophysiology and morphology of single neurons in organoids require acute slices or dissociated cultures. While these methods have advantages (e.g., visual access, ease of experimentation), they risk damaging cells and circuits present in the intact organoid. To access single cells within intact organoid circuits, we have demonstrated a method for fixturing and performing whole cell patch clamp recording from intact brain organoids using both manual and automated tools. We demonstrate applied electrophysiology methods development followed by an integration of electrophysiology with reconstructing the morphology of the neurons within the brain organoid using dye filling and tissue clearing. We found that whole cell patch clamp recordings could be achieved both on the surface and within the interior of intact human brain organoids using both manual and automated methods. Manual experiments were higher yield (53 % whole cell success rate manual, 9 % whole cell success rate automated), but automated experiments were more efficient (30 patch attempts per day automated, 10 patch attempts per day manual). Using these methods, we performed an unbiased survey of cells within human brain organoids between 90 and 120 days in vitro (DIV) and present preliminary data on morphological and electrical diversity in human brain organoids. The further development of intact brain organoid patch clamp methods could be broadly applicable to studies of cellular, synaptic, and circuit-level function in the developing human brain.
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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.