Functional neuronal circuitry and oscillatory dynamics in human brain organoids
Tal Sharf1,2,3, Tjitse van der Molen4,5, Stella M K Glasauer4,5
1Neuroscience Research Institute, University of California Santa Barbara, Santa Barbara, CA, 93106, USA. tsharf@ucsc.edu.
Nature Communications
|July 29, 2022
Summary
Human brain organoids show complex neuronal network activity, revealing many weak and few strong connections. This research opens new avenues for studying brain diseases and drug effects.
Area of Science:
- Neuroscience
- Stem Cell Biology
- Computational Biology
Background:
- Human brain organoids mimic human brain development and cellular diversity.
- The physiological function of neuronal circuits in brain organoids is not well understood.
Purpose of the Study:
- To investigate the functional connectivity and electrophysiological properties of neuronal circuits in human brain organoids.
- To explore the potential of brain organoids as models for studying neurological disorders and drug responses.
Main Methods:
- High-density CMOS microelectrode arrays and shank electrodes were used to record spontaneous extracellular activity from brain organoids.
- Spike timing analysis was employed to infer functional connectivity.
- Local field potential (LFP) analysis was performed to assess neuronal assembly activity.
Main Results:
- Functional connectivity analysis revealed a network structure with numerous weak connections and a sparser skeleton of strong connections.
- Benzodiazepine administration altered firing patterns, increasing uniformity and reducing weak connections.
- Brain organoids exhibit neuronal assemblies capable of generating collective field potentials phase-locked to spiking activity.
Conclusions:
- Human brain organoids possess functional neuronal networks with complex connectivity patterns.
- These organoids can serve as valuable models for investigating the effects of drugs and stimuli on neuronal activity.
- Brain organoids offer a promising platform for advancing research in neuropsychiatric diseases.


