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Citation: Yu X (2022) Hippocampal astrocytes represent navigation space. PLoS Biol 20(3): e3001568. https://doi.org/10.1371/journal.pbio.3001568
Published: March 8, 2022
Copyright: © 2022 Xinzhu Yu. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Funding: The author received no specific funding for this work.
Competing interests: The author has declared that no competing interests exist.
The ability to perceive location and navigate through the space is a cognitive function crucial for both humans and animals. It has been hypothesized that a “cognitive map” is constructed in the mammalian brain based on spatial cues to represent the external environment. This mental map could contribute to the formation of episodic memory that is linked to a specific location and context. In search of the neurobiological basis of the cognitive map, O’Keefe and Nadel first discovered place cells in the rodent hippocampus that become active when the animal travels to a specific location within its environment [1]. Subsequent studies have further revealed additional key elements of the spatial navigation system, including grid cells, head direction cells, and border cells. Collectively, the neuronal circuits of the hippocampal formation are believed to be responsible for constructing a detailed mental model of the external space. Is this the entire story? A research article presented by Curreli and colleagues in the current issue of PLOS Biology provides the first in vivo evidence that nonneuronal glial cells also display location-dependent activity [2], raising important questions about whether and how glial cells are involved in spatial navigation and cognitive map representation (Fig 1).
A cognitive map encodes spatial information and allows navigational planning. The hippocampus is a key structure containing cells responsible for constructing the cognitive map in the mammalian brain. Hippocampal neurons known as place cells become electrically active when the animal travels to specific locations within its environment. Using 2-photon in vivo Ca2+ imaging, Curreli and colleagues provide evidence that hippocampal astrocytes respond to spatial locations in a virtual reality environment with elevations in their intracellular Ca2+ signals. Moreover, the information contained by hippocampal astrocytes is not a passive copy of nearby neuronal information. The tantalizing unanswered question is whether astrocytes are active partners with neurons in generating a spatial cognitive map.
As the most numerous type of glial cells, astrocytes are morphologically complex and present throughout the entire central nervous system (CNS). Their existence and close proximity to neurons were depicted by pioneering neuroscientist Santiago Ramón y Cajal more than a century ago. However, our understanding of astrocytes and their contributions to cognition is still in its infancy. This is largely because astrocytes are electrically silent cells that lack mechanisms to generate and propagate action potentials. Therefore, traditional electrophysiological approaches provide little information about astrocyte activity and their function. Instead, astrocytes display dynamic and extensive intracellular Ca2+ signals that are believed to be the primary mechanism mediating their communication with other cells [3]. These astrocytic Ca2+ signals occur throughout the entire cell (e.g., somata and processes), both spontaneously and in response to neuronal activity. Mounting evidence has implicated astrocytic Ca2+ signaling as essential to modulating neuronal function and animal behaviors [4].
Curreli and colleagues recorded intracellular Ca2+ signals from hippocampal astrocytes expressing a genetically encoded Ca2+ indicator in head-fixed awake mice navigating in a virtual reality environment [2]. Interestingly, the authors found that a population of astrocytes displayed Ca2+ responses that were modulated by the position of the mouse, indicative of location-dependent activity that is similar to neuronal place cells. However, in contrast to neuronal place cells, Ca2+ signals from the somata and processes belonging to the same astrocytes may respond to different spatial locations, i.e., different regions of a single astrocyte may have distinct place fields.
These are novel and intriguing findings; however, previous studies have demonstrated that astrocyte Ca2+ signaling largely reflects the activity of neighboring neurons [5,6]; thus, it is possible that the astrocytes are merely mirroring some spatial information conveyed by nearby neuronal place cells. To account for this possibility, the authors simultaneously recorded Ca2+ signals from both astrocytes and neurons in the hippocampus of awake mice navigating in the virtual reality setup. Using an information theory–based analysis and a machine learning approach, the authors showed that the spatial information encoded in astrocyte Ca2+ signals is not a simple copy of that stored in surrounding neurons. Specifically, animal’s spatial location was more accurately decoded with Ca2+ signal data from neurons and astrocytes combined than from neurons or astrocytes alone, suggesting additional information encoded by hippocampal astrocytes.
These results further raise a conspicuous unanswered question: What spatial information do hippocampal astrocyte Ca2+ signals encode? Does astrocyte spatial encoding involve nontrivial computations rather than simple signal summation? Owing to its elaborate morphology, a single hippocampal astrocyte territory is estimated to enclose around 90,000 synapses [7]. Thus, it is possible that hippocampal astrocyte Ca2+ signals serve as a tuning factor by integrating diverse neuronal information and subsequently conveying synaptic regulation via ion homeostasis, metabolic support, synaptic formation/removal, and neurotransmitter uptake. Future computational modeling of these potential integrator functions may be fruitful, and experimental manipulations of astrocyte ensembles and their corresponding subcellular Ca2+ signals may provide direct evidence.
To understand how the CNS encodes, modifies, stores, and retrieves information, it is necessary to explore the diverse cell populations that comprise the CNS. There is an emerging consensus that the CNS cannot be satisfactorily understood solely as a collection of interacting neurons. One significant missing aspect in our strategy to comprehensively understand the CNS, particularly in the context of disease, is the largely unmet need to understand additional cell types such as astrocytes. This work by Curreli and colleagues has provided a new perspective of astrocytic involvement in the domain previously considered to be uniquely neuronal. In light of their stimulating results, there are many intriguing questions and further directions that remain to be explored. First of all, given astrocytic place fields in a one-dimensional virtual reality environment, how do hippocampal astrocytes behave in realistic environments? In addition to encoding spatial locations, neuronal place cells are fundamental for goal-directed navigation planning, episodic memory storage, and retrieval [8], presumably in conjunction with neurons from other brain regions connected to the hippocampus. Although astrocytes do not project beyond their local territories, can these local actions by astrocytes have a broader effect on large-scale neural circuits by communicating with and modulating other cells in the networks? Furthermore, sequential firing patterns of neuronal place cells activated while navigating are replayed during sleep [9]. This mechanism is proposed to consolidate newly encoded spatial memories. Can hippocampal astrocytes register previous spatial learning by spatially tuned Ca2+ signals and consolidate recent memory traces by offline replay of those Ca2+ signals? Last, are there equivalent astrocytic subpopulations responding to speed, head direction, and boundaries to construct the complete spatial maps? With many new methods and technological advances on the horizon [10], these questions will be ultimately tackled in the foreseeable future.
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