A5053619457- Neural dynamics and brain function
- Neuroscience and Neural Engineering
- Amyotrophic Lateral Sclerosis Research
- Pluripotent Stem Cells Research
- Cell Image Analysis Techniques
- stochastic dynamics and bifurcation
- Neuroinflammation and Neurodegeneration Mechanisms
- Neural Networks and Applications
- Electrochemical Analysis and Applications
- Functional Brain Connectivity Studies
University of Cambridge
2021-2024
Abstract Amyotrophic lateral sclerosis overlapping with frontotemporal dementia (ALS/FTD) is a fatal and currently untreatable disease characterized by rapid cognitive decline paralysis. Elucidating initial cellular pathologies central to therapeutic target development, but obtaining samples from presymptomatic patients not feasible. Here, we report the development of cerebral organoid slice model derived human induced pluripotent stem cells (iPSCs) that recapitulates mature cortical...
ABSTRACT Economic efficiency has been a popular explanation for how networks self-organize within the developing nervous system. However, precise nature of economic negotiations governing this putative organizational principle remains unclear. Here, we address question further by combining large-scale electrophysiological recordings, to characterize functional connectivity neuronal in vitro , with generative modeling approach capable simulating network formation. We find that best fitting...
MotivationMicroelectrode array (MEA) recordings of neuronal activity are an essential functional assay for evaluating in vitro models neurodevelopment and neurological diseases. However, most studies limited to comparing firing burst rates. We have previously shown that 3D human cerebral organoids develop microscale networks. The network-level features, which predict cellular-scale information processing efficiency, can provide a bioinformatic phenotype network function MEA from tissues....
Summary Microelectrode array (MEA) recordings are commonly used to compare firing and burst rates in neuronal cultures. MEA can also reveal microscale functional connectivity, topology, network dynamics—patterns seen brain networks across spatial scales. Network topology is frequently characterized neuroimaging with graph theoretical metrics. However, few computational tools exist for analyzing from recordings. Here, we present a MATLAB analysis pipeline (MEA-NAP) raw voltage time-series...