Neuronal dynamics direct cerebrospinal fluid perfusion and brain clearance
Li-Feng Jiang-Xie (),
Antoine Drieu,
Kesshni Bhasiin,
Daniel Quintero,
Igor Smirnov and
Jonathan Kipnis ()
Additional contact information
Li-Feng Jiang-Xie: Washington University in St Louis
Antoine Drieu: Washington University in St Louis
Kesshni Bhasiin: Washington University in St Louis
Daniel Quintero: Washington University in St Louis
Igor Smirnov: Washington University in St Louis
Jonathan Kipnis: Washington University in St Louis
Nature, 2024, vol. 627, issue 8002, 157-164
Abstract:
Abstract The accumulation of metabolic waste is a leading cause of numerous neurological disorders, yet we still have only limited knowledge of how the brain performs self-cleansing. Here we demonstrate that neural networks synchronize individual action potentials to create large-amplitude, rhythmic and self-perpetuating ionic waves in the interstitial fluid of the brain. These waves are a plausible mechanism to explain the correlated potentiation of the glymphatic flow1,2 through the brain parenchyma. Chemogenetic flattening of these high-energy ionic waves largely impeded cerebrospinal fluid infiltration into and clearance of molecules from the brain parenchyma. Notably, synthesized waves generated through transcranial optogenetic stimulation substantially potentiated cerebrospinal fluid-to-interstitial fluid perfusion. Our study demonstrates that neurons serve as master organizers for brain clearance. This fundamental principle introduces a new theoretical framework for the functioning of macroscopic brain waves.
Date: 2024
References: Add references at CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
https://www.nature.com/articles/s41586-024-07108-6 Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:nat:nature:v:627:y:2024:i:8002:d:10.1038_s41586-024-07108-6
Ordering information: This journal article can be ordered from
https://www.nature.com/
DOI: 10.1038/s41586-024-07108-6
Access Statistics for this article
Nature is currently edited by Magdalena Skipper
More articles in Nature from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().