Effects of traumatic brain injury on reactive astrogliosis and seizures in mouse models of Alexander disease

Cotrina, Maria Luisa; Chen, Michael; Han, Xiaoning; Iliff, Jeffrey J.; Ren, Zeguang; Sun, Wei; Hagemann, Tracy L.; Goldman, James E.; Messing, Albee

doi:10.1016/j.brainres.2014.07.029

Cited by 14 publications

(8 citation statements)

References 35 publications

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“…The interest in brain pulsations as a source of valuable new information have surged after the discovery of the glymphatic brain clearance system in 2013 by Nedergaard [100]. The glymphatic mechanisms have been shown to be a key element in several major forms of neuropathology including Alzheimer's disease, stroke, trauma, and epilepsy [101][102][103][104][105][106][107][108][109]. The glymphatic brain clearance is driven by vascular pulsations that convect both brain metabolites and waste along CSF water in paravascular spaces in humans and mice [110,111].…”

Section: Mreg-based Imaging Of Physiological Brain Pulsationsmentioning

confidence: 99%

15 Years MR-encephalography

Hennig

Kiviniemi

Riemenschneider

et al. 2020

Magn Reson Mater Phy

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Objective This review article gives an account of the development of the MR-encephalography (MREG) method, which started as a mere ‘Gedankenexperiment’ in 2005 and gradually developed into a method for ultrafast measurement of physiological activities in the brain. After going through different approaches covering k-space with radial, rosette, and concentric shell trajectories we have settled on a stack-of-spiral trajectory, which allows full brain coverage with (nominal) 3 mm isotropic resolution in 100 ms. The very high acceleration factor is facilitated by the near-isotropic k-space coverage, which allows high acceleration in all three spatial dimensions. Methods The methodological section covers the basic sequence design as well as recent advances in image reconstruction including the targeted reconstruction, which allows real-time feedback applications, and—most recently—the time-domain principal component reconstruction (tPCR), which applies a principal component analysis of the acquired time domain data as a sparsifying transformation to improve reconstruction speed as well as quality. Applications Although the BOLD-response is rather slow, the high speed acquisition of MREG allows separation of BOLD-effects from cardiac and breathing related pulsatility. The increased sensitivity enables direct detection of the dynamic variability of resting state networks as well as localization of single interictal events in epilepsy patients. A separate and highly intriguing application is aimed at the investigation of the glymphatic system by assessment of the spatiotemporal patterns of cardiac and breathing related pulsatility. Discussion MREG has been developed to push the speed limits of fMRI. Compared to multiband-EPI this allows considerably faster acquisition at the cost of reduced image quality and spatial resolution.

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Section: Mreg-based Imaging Of Physiological Brain Pulsationsmentioning

confidence: 99%

15 Years MR-encephalography

Hennig

Kiviniemi

Riemenschneider

et al. 2020

Magn Reson Mater Phy

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“…Some of the disease states whose solutions are already being advanced by NGV modeling include those related to deficiencies in energy metabolism, specifically lactate or glycogen utilization. These can present clinically in a variety of forms including as mood disorders, sleep disturbances, addiction traits or psychiatric afflictions in various spectrums ( Auer, 2004 ; Berthet et al, 2012 ; Bouzat et al, 2013 , 2014 ; Cotrina et al, 2014 ; Petit and Magistretti, 2015 ; Boury-Jamot et al, 2016a , b ).…”

Section: Process Descriptionmentioning

confidence: 99%

A Process for Digitizing and Simulating Biologically Realistic Oligocellular Networks Demonstrated for the Neuro-Glio-Vascular Ensemble

et al. 2018

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One will not understand the brain without an integrated exploration of structure and function, these attributes being two sides of the same coin: together they form the currency of biological computation. Accordingly, biologically realistic models require the re-creation of the architecture of the cellular components in which biochemical reactions are contained. We describe here a process of reconstructing a functional oligocellular assembly that is responsible for energy supply management in the brain and creating a computational model of the associated biochemical and biophysical processes. The reactions that underwrite thought are both constrained by and take advantage of brain morphologies pertaining to neurons, astrocytes and the blood vessels that deliver oxygen, glucose and other nutrients. Each component of this neuro-glio-vasculature ensemble (NGV) carries-out delegated tasks, as the dynamics of this system provide for each cell-type its own energy requirements while including mechanisms that allow cooperative energy transfers. Our process for recreating the ultrastructure of cellular components and modeling the reactions that describe energy flow uses an amalgam of state-of the-art techniques, including digital reconstructions of electron micrographs, advanced data analysis tools, computational simulations and in silico visualization software. While we demonstrate this process with the NGV, it is equally well adapted to any cellular system for integrating multimodal cellular data in a coherent framework.

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“…Beyond these homeostatic functions, astrocytes can respond to several stimuli and subsequently display profound genetic, morphological, and functional changes in a process termed reactive astrogliosis (Sofroniew, 2009;Escartin et al, 2021; Figure 1). Reactive astrogliosis can be triggered by injury (Cotrina et al, 2015;Okada et al, 2018), inflammation (Hansson et al, 2016), or stress (Chen et al, 2020;Kogel et al, 2021), and can result in a feed-forward process, where an initial stimulus induces a reactive astrocyte response, which triggers the release of intracellular and soluble factors that further drive this response. Reactive astrogliosis, reactive astrocyte response, and (astro)gliosis are terms often used interchangeably in the field of astrocyte biology.…”

Section: Introductionmentioning

confidence: 99%

She Doesn’t Even Go Here: The Role of Inflammatory Astrocytes in CNS Disorders

Reid

Kuipers

2021

Front. Cell. Neurosci.

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Astrocyte heterogeneity is a rapidly evolving field driven by innovative techniques. Inflammatory astrocytes, one of the first described subtypes of reactive astrocytes, are present in a variety of neurodegenerative diseases and may play a role in their pathogenesis. Moreover, genetic and therapeutic targeting of these astrocytes ameliorates disease in several models, providing support for advancing the development of astrocyte-specific disease modifying therapies. This review aims to explore the methods and challenges of identifying inflammatory astrocytes, the role these astrocytes play in neurological disorders, and future directions in the field of astrocyte heterogeneity.

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Effects of traumatic brain injury on reactive astrogliosis and seizures in mouse models of Alexander disease

Cited by 14 publications

References 35 publications

15 Years MR-encephalography

15 Years MR-encephalography

A Process for Digitizing and Simulating Biologically Realistic Oligocellular Networks Demonstrated for the Neuro-Glio-Vascular Ensemble

She Doesn’t Even Go Here: The Role of Inflammatory Astrocytes in CNS Disorders

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