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Updated: Nov 4, 2025

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Brain Slice Stimulation Using a Microfluidic Network and Standard Perfusion Chamber
Published on: October 1, 2007
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Microphysiological models of the central nervous system with fluid flow
Aleeza Zilberman1, R Chase Cornelison1
1Department of Biomedical Engineering, University of Massachusetts Amherst, Amherst, MA, 01003, United States.
Brain Research Bulletin
|May 24, 2021
Summary
Developing advanced microphysiological systems that incorporate biological fluid flow is crucial for studying neurological disorders and reducing their significant societal and economic burden.
Area of Science:
- Neuroscience
- Biomedical Engineering
- Pathology
Background:
- Over 1,000 neurological and neurodegenerative disorders affect 100 million Americans, costing $800 billion annually.
- Current model systems are insufficient for studying the complex mechanisms and treatments of these conditions.
- Neuropathology impacts central nervous system (CNS) fluid flow, affecting conditions from injury to aging.
Purpose of the Study:
- To review advances in 3D microphysiological systems for CNS disorder research.
- To highlight the importance of incorporating biological fluid flow into neural models.
- To explore the potential of these systems for studying neuropathology and developing therapies.
Main Methods:
- Review of recent literature on 3D microphysiological systems.
- Focus on systems capable of simulating biological fluid flow.
- Analysis of how fluid dynamics relate to CNS physiology and pathology.
Main Results:
- Microphysiological systems offer a promising platform for modeling neural tissues.
- Incorporating biophysical forces, like fluid flow, enhances model realism.
- Altered fluid flow is a common factor in various CNS pathologies.
Conclusions:
- 3D microphysiological systems are valuable tools for understanding CNS disorders.
- Integrating biological fluid flow is essential for accurate modeling of neural diseases.
- These advanced models can accelerate the development of novel therapeutic strategies.
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