The process of memory entails the activation of numerous neural networks and biochemical pathways throughout the brain. The phenomenon of memory decline in relation to aging has been the subject of extensive research for several decades. The correlation between the process of aging and memory is intricate and has various aspects to consider. Throughout the aging process, there are various alterations that take place within the brain and, as expected, affect other functions that have already been linked to memory and its function such as involving microcirculation and sleep. Recent studies provide an understanding of how these mechanisms may be interconnected through the relatively new concept of the glymphatic system. The glymphatic system is strongly correlated to sleep processes. Sleep helps the glymphatic system remove brain waste solutes. Astrocytes expand and contract to form channels for cerebrospinal fluid (CSF) to wash through the brain and eliminate waste. However, the details have not been totally elusive, but the discovery of what we call the glymphatic system enables us to connect many pieces of physiology to understand how such factors are interconnected and the interplay between them. Thus, the purpose of this review is to discuss how the glymphatic system, sleep, memory, and aging are interconnected through a network of complex mechanisms and dynamic interactions.
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http://dx.doi.org/10.3390/biomedicines11082092 | DOI Listing |
Curr Opin Neurol
February 2025
Department of Neurology, Leiden University Medical Center, Leiden, The Netherlands.
Purpose Of Review: Cerebral amyloid angiopathy (CAA) is a common brain disorder among the elderly and individuals with Alzheimer's disease, where accumulation of amyloid-ß can lead to intracerebral hemorrhage and dementia. This review discusses recent developments in understanding the pathophysiology and phenotypes of CAA.
Recent Findings: CAA has a long preclinical phase starting decades before symptoms emerge.
Magn Reson Imaging
January 2025
Department of Radiology, Semmelweis u. 6, Szeged, Hungary. Electronic address:
Background: In the inflammatory process of multiple sclerosis (MS) several toxic waste products are generated. The clearance of these products might depend on the glymphatic system; however, it's preserved function in MS is uncertain. Recently, it was suggested that this 'waste clearance' system can be examined by measuring the diffusion along the perivascular space (ALPS) index.
View Article and Find Full Text PDFSleep Med
January 2025
Department of Radiology, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University Nanchang, 330006, China; Intelligent Medical Imaging of Jiangxi Key Laboratory, 330006, Nanchang, China; School of Biomedical Engineering, National Graduate College for Engineers, Tsinghua University, 100084, Beijing, China. Electronic address:
Background: Sleep is associated with glymphatic circulation activity; however, there is no direct imaging modality to validate glymphatic circulation disorders in patients with insomnia. Therefore, this study aimed to explore the relationship between insomnia disorder (ID) and the glymphatic system. Dynamic synthetic magnetic resonance imaging (syMRI) was performed.
View Article and Find Full Text PDFSeizure
December 2024
Department of Neurology, Epilepsy Center, University of Pittsburgh Medical Center, Pittsburgh, PA, United States.
Purpose: Glymphatic function has not been explored in patients with focal cortical dysplasia (FCD)-related epilepsy. This study aimed to investigate the glymphatic system's involvement in these patients and to evaluate its correlation with response patterns to different antiseizure medications (ASMs) using diffusion tensor imaging along the perivascular space (DTI-ALPS).
Methods: Fifty-two patients with FCD-related epilepsy (10 with drug-responsive epilepsy and 42 with drug-resistant epilepsy) and 24 healthy controls (HC) were included.
Neuroimage
January 2025
Department of Radiology, Mayo Clinic, Rochester, MN, USA. Electronic address:
Cardiorespiratory signals have long been treated as "noise" in functional magnetic resonance imaging (fMRI) research, with the goal of minimizing their impact to isolate neural activity. However, there is a growing recognition that these signals, once seen as confounding variables, provide valuable insights into brain function and overall health. This shift reflects the dynamic interaction between the cardiovascular, respiratory, and neural systems, which together support brain activity.
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