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American Focus > Blog > Tech and Science > Cyborg tadpoles are helping us learn how brain development starts
Tech and Science

Cyborg tadpoles are helping us learn how brain development starts

Last updated: June 11, 2025 9:40 pm
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Cyborg tadpoles are helping us learn how brain development starts
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A tadpole, stained with immunofluorescence to visualise its internal anatomy, that had the brain-tracking device implanted as an embryo

A tadpole, stained with immunofluorescence to visualise its internal anatomy, that had a brain-tracking device implanted in it as an embryo

Hao Sheng et al. 2025, Jia Liu Lab/Harvard SEAS

Understanding how the human brain, with its remarkable capabilities, develops from a mere cluster of cells has long been a mystery. A groundbreaking experiment involving tadpoles, where a brain-tracking device was implanted at the embryonic stage, has brought us closer to unraveling this enigma.

Prior efforts to study neurodevelopmental processes utilized tools like functional magnetic resonance imaging or hard electrode wires, but they were limited by low imaging resolution and tissue damage. However, a team led by Jia Liu from Harvard University introduced a soft, stretchable mesh made from a perfluropolymer that seamlessly integrated into the neural plate of African clawed frog (Xenopus laevis) embryos, allowing for non-invasive monitoring of brain activity.

As the tadpole’s brain developed, the mesh adapted to the tissue’s growth, maintaining functionality without causing harm. This innovation enabled real-time measurement of neural signals, offering insights into how neural activity evolves during development.

Remarkably, the implanted device did not trigger an immune response and did not impede the tadpoles’ growth into healthy frogs. According to Liu, the successful integration of materials marks a significant advancement in neuroscience research.

Christopher Bettinger from Carnegie Mellon University praised the study, emphasizing its potential to enhance our understanding of neural development processes. The team observed changes in neural activity patterns as the tissue differentiated into specialized structures, shedding light on how the brain self-programs into a sophisticated computational system.

Furthermore, the experiment explored brain activity changes in regenerating animals post-amputation, confirming previous theories about electrical activity reverting to an earlier developmental state. Future research aims to apply this technology in rodent studies, offering insights into developmental conditions like autism and schizophrenia.

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Looking ahead, the team envisions applications of similar devices in monitoring neuromuscular regeneration post-injury, showcasing the broad potential of ultra-compliant electronics in neuroscience. Liu’s pioneering work opens new avenues for studying brain development and holds promise for uncovering the mysteries of the human mind.

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