# Astrocytic modulation of neural circuits and cognition

Historically relegated to the status of passive structural support, astrocytes—the highly ramified glial cells that comprise 20% to 40% of the cellular population in the central nervous system—have emerged as active, indispensable modulators of brain function [cite: 1, 2]. Early neuroanatomists, who first documented glia in the late 1800s, conceptualized these star-shaped cells primarily as *nervenkitt* (nerve glue) [cite: 2]. Under this classical neurocentric paradigm, astrocytes were understood to be responsible solely for homeostatic maintenance, metabolic support, neurotransmitter clearance, and the regulation of the blood-brain barrier [cite: 3, 4]. For over a century, the rapid, electrically excitable neuronal code was considered the sole arbiter of perception, thought, emotion, and behavior.

Over the last three decades, and accelerating rapidly with technological breakthroughs in imaging and transcriptomics between 2020 and 2026, this dogma has been fundamentally dismantled [cite: 5, 6]. Extensive in vivo imaging, single-cell RNA sequencing, and sophisticated computational modeling now demonstrate that astrocytes actively integrate synaptic information, dictate neural network topology, and stabilize complex cognitive phenomena such as memory formation and attentional shifts [cite: 7, 8, 9]. The conceptual shift toward recognizing astrocytes as active processors centers on the architecture of the "tripartite synapse." This model details a structural and functional unit where an astrocytic perisynaptic process intimately envelops the pre-synaptic and post-synaptic neuronal terminals [cite: 10, 11, 12].

[image delta #1, 0 bytes]

 

Because an individual astrocyte can contact up to 100,000 synapses in the murine brain—and up to 2 million synapses in the human brain—this physical arrangement allows astrocytic networks to monitor immense volumes of synaptic activity, buffer extracellular ions, and participate directly in synaptic plasticity [cite: 12, 13]. As the depth of astrocytic investigation has expanded, research demonstrates that neurodevelopmental processes, experience-dependent plasticity, and neurodegenerative pathologies cannot be understood through the lens of neuronal connectomics alone [cite: 5, 6]. Astrocytes operate as computational units, bridging the temporal gap between millisecond-scale neuronal firing and the long-term stabilization of behavioral states.

## Intracellular and Extracellular Calcium Dynamics

Unlike neurons, which rely on the rapid propagation of electrical action potentials, astrocytes are electrically non-excitable. Instead, their primary modality of signal integration and transmission is the fluctuation of intracellular and extracellular calcium ($Ca^{2+}$) concentrations [cite: 14, 15, 16].

### Somatic Waves and Localized Microdomains

Astrocytic $Ca^{2+}$ signaling occurs across multiple spatial and temporal scales, ranging from rapid, highly localized transients in fine perisynaptic processes to slow, global oscillations that propagate through the astrocytic soma and across extensive multicellular networks [cite: 14, 15]. Historically, $Ca^{2+}$ transients were observed primarily in the astrocytic soma due to the spatial and temporal limitations of early organic fluorescent dyes such as OGB-1 and Fluo4 [cite: 17, 18]. These global somatic signals are primarily driven by the activation of Gq-protein-coupled receptors (GPCRs), which stimulate phospholipase C (PLC) to produce inositol 1,4,5-trisphosphate (IP3). IP3 subsequently triggers the release of $Ca^{2+}$ from the endoplasmic reticulum (ER) via type 2 IP3 receptors (IP3R2) [cite: 19, 20]. 

However, the advent of membrane-tethered genetically encoded calcium indicators (GECIs), such as Lck-GCaMP and Salsa6f, alongside advanced two-photon microscopy, revealed a vastly more complex signaling landscape [cite: 16, 17, 21]. The vast majority of astrocytic $Ca^{2+}$ activity occurs in highly compartmentalized microdomains within the cell's fine arborizations. Up to 85% of an astrocyte's volume consists of irregular, nanoscopic processes (30 to 50 nm) that sit below the diffraction limit of light [cite: 21]. Fast transients in these microdomains can occur within milliseconds to seconds and often follow bursts of neuronal activity [cite: 14]. These highly localized events frequently operate independently of IP3R2-mediated ER release, relying instead on the rapid influx of extracellular $Ca^{2+}$ through transient receptor potential (TRP) channels (e.g., TRPA1), voltage-gated calcium channels (VGCCs), or the reversal of sodium-calcium exchangers (NCX) during neurotransmitter uptake [cite: 14, 16, 21, 22]. 

In vivo sensory stimulation studies demonstrate that evoked $Ca^{2+}$ rises occur initially in the fine arborizations, significantly preceding somatic transients by several seconds [cite: 23, 24]. Specifically, sensory-evoked $Ca^{2+}$ elevations in arborizations exhibit a delay of approximately 11.1 seconds from stimulus onset, compared to a 13.2-second delay for somatic responses [cite: 24]. The rise time to peak and decay time back to baseline are also distinct between compartments, indicating that synapses are initially accessed at the extreme periphery of the astrocyte [cite: 23, 24]. This spatial compartmentalization allows individual astrocytes to selectively influence discrete synaptic micro-networks without triggering a widespread, cell-wide global response [cite: 14]. 

### Modulation of the Extracellular Ionic Landscape

While intracellular $Ca^{2+}$ elevations dictate astrocytic downstream pathways and signaling, recent evidence underscores the critical role of extracellular calcium ($[Ca^{2+}]_o$) as an active, dynamic signaling mediator in its own right [cite: 14]. Traditionally, the extracellular space was viewed merely as a passive reservoir for ions. However, astrocytes are central architects of the ionic landscape, dynamically regulating $[Ca^{2+}]_o$ during bursts of synaptic activity with submillisecond resolution [cite: 14].

Neurons are exquisitely tuned to extracellular calcium levels. Decreases in $[Ca^{2+}]_o$, driven by astrocytic buffering and network activity, exert a direct physical impact on postsynaptic signaling [cite: 14]. A lowered $[Ca^{2+}]_o$ physically diminishes the electrochemical driving force for $Ca^{2+}$ entry through N-methyl-D-aspartate (NMDA) receptors and VGCCs [cite: 14]. By directly attenuating the intracellular $Ca^{2+}$ transients required in neurons for the induction of long-term potentiation (LTP) and long-term depression (LTD), astrocytic control of the extracellular ionic gradient provides a foundational mechanism for regulating neuronal excitability independently of chemical transmitter release [cite: 14].



## Debates Surrounding Exocytotic Gliotransmission

The proposition that astrocytes actively release neurotransmitters—broadly termed "gliotransmitters" (e.g., glutamate, ATP, and D-serine)—via $Ca^{2+}$-dependent vesicular exocytosis has been one of the most transformative, yet fiercely contested, concepts in contemporary neuroscience [cite: 3, 10, 13, 25]. The debate centers on whether astrocytes routinely utilize vesicle-mediated chemical signaling to influence neuronal synapses in the healthy adult brain, or whether observed phenomena are artifacts of experimental conditions.

### Evidence Supporting Active Gliotransmission

The initial evidence for active astrocytic signaling emerged in the 1990s when foundational observations demonstrated that the application of glutamate could evoke propagating $Ca^{2+}$ waves in cultured astrocytes, which in turn evoked $Ca^{2+}$ responses in adjacent neurons [cite: 3, 21]. Proponents of the gliotransmission hypothesis assert that astrocytes act as integral computational nodes in neural circuits. In this established paradigm, synaptically released neurotransmitters (such as glutamate from Schaffer collaterals in the hippocampus) spill over from the synaptic cleft and activate astrocytic GPCRs, such as metabotropic glutamate receptor 5 (mGluR5) [cite: 10, 26]. This triggers IP3-dependent $Ca^{2+}$ release, which subsequently drives the vesicular exocytosis of gliotransmitters back into the extracellular space [cite: 10, 27]. 

The functional targets of these gliotransmitters are well documented. Astrocytic release of D-serine is broadly considered a necessary co-agonist for post-synaptic NMDA receptors, directly implicating astrocytes in the induction of synaptic plasticity and the potentiation of excitatory transmission [cite: 13, 28]. Additionally, astrocytic ATP is released and rapidly hydrolyzed by extracellular ectonucleotidases into adenosine. This adenosine acts on presynaptic A1 adenosine receptors to suppress synaptic transmission and hyperpolarize neurons, providing a critical homeostatic feedback loop that restrains runaway neuronal excitability [cite: 13, 29]. Glutamate released by astrocytes has also been shown to target presynaptic mGluRs and kainate receptors, modulating the probability of neurotransmitter release [cite: 10, 13].

### Methodological Skepticism and the In Vivo Crisis

Conversely, a robust faction of researchers has systematically questioned the physiological relevance of vesicular gliotransmission in intact brain tissue. Skeptics argue that much of the foundational evidence for gliotransmission was derived from cultured astrocytes in vitro [cite: 3, 26]. Cultured glia are known to undergo profound phenotypic shifts, often expressing proteins and transport mechanisms not found in mature astrocytes in situ [cite: 3, 26]. Furthermore, rigorous transcriptome analyses have frequently failed to detect the canonical synaptic SNARE proteins or vesicular glutamate transporters (vGluts) required for classical vesicular release in mature astrocytes [cite: 26, 30].

The skepticism intensified following sophisticated experiments designed to selectively manipulate astrocytic $Ca^{2+}$ without relying on broad pharmacological agonists. Researchers utilized $Ip3r2^{-/-}$ knockout mice, which lack the primary receptor responsible for astrocytic ER $Ca^{2+}$ release. Under the prevailing gliotransmission hypothesis, the near-total abolition of astrocytic $Ca^{2+}$ waves in these mice should have caused dramatic impairments in synaptic function and animal behavior [cite: 19, 30]. However, $Ip3r2^{-/-}$ mice exhibited normal baseline synaptic transmission, unaffected hippocampal LTP, and no overt behavioral or developmental abnormalities [cite: 19, 30]. 

Further rigorous studies utilized chemogenetics to isolate astrocytic signaling. Researchers developed transgenic lines expressing the exogenous Gq-coupled MrgA1 receptor exclusively in astrocytes. When a specific agonist was applied, it evoked massive, widespread astrocytic $Ca^{2+}$ elevations [cite: 25, 31]. Despite this robust $Ca^{2+}$ mobilization, there was no discernible effect on excitatory synaptic transmission, basal synaptic activity, or short- and long-term plasticity at the Schaffer collateral-CA1 synapse [cite: 25, 32]. Skeptics argue that these "negative" data sets provide strong evidence of absence, suggesting that $Ca^{2+}$-dependent exocytotic release of neurotransmitters is the province of neurons, not astrocytes, under physiological conditions [cite: 30].

### Synthesizing the Divergent Evidence

Recent technological advances are mediating this divide, suggesting that the initial models of gliotransmission were fundamentally oversimplified [cite: 26]. A critical methodological revelation showed that organic $Ca^{2+}$ dyes used in early studies primarily captured large somatic transients while entirely missing the rapid, highly localized microdomain signaling in the astrocytic arborizations [cite: 19, 22]. 

Re-evaluations using the highly sensitive GCaMP6f indicator demonstrated that even in $Ip3r2^{-/-}$ knockout mice, highly localized $Ca^{2+}$ microdomains persist in the fine processes [cite: 19, 22]. Because these extreme peripheral processes are the actual sites of astrocyte-synapse contact, the preservation of microdomain signaling explains why synaptic plasticity remains intact in the knockout models [cite: 19, 22]. The failure of MrgA1 receptor stimulation to induce plasticity is now hypothesized to be a result of the artificial, global nature of the $Ca^{2+}$ mobilization, which does not mimic the precise, compartmentalized frequency encoding required for localized gliotransmission [cite: 26, 31]. 

The current consensus suggests a highly context-dependent model. Astrocytes likely do not operate via broad, volumetric, and continuous neurotransmitter release [cite: 33]. Instead, they exert targeted influence dictated by local metabolic states, alternative calcium influx pathways, and specific behavioral arousal states, performing integration in spatio-temporal domains complementary to those of neurons [cite: 10, 33].

## Astrocytic Heterogeneity and Subpopulation Specialization

Historically, astrocytes were viewed as a homogenous population, recognized merely as a monolith of support cells distinct from neurons and microglia. It was assumed that an astrocyte in the cortex functioned identically to one in the thalamus [cite: 1]. However, the advent of single-cell and single-nucleus RNA sequencing (scRNA-seq/snRNA-seq), alongside advanced morphological profiling, has revealed vast inter- and intra-regional heterogeneity [cite: 4, 34, 35].

These profiles demonstrate that astrocytic subtypes are specialized to support specific neural circuits and localized functional requirements. Differences are evident across multiple functional axes: intrinsic membrane properties, the identity and expression levels of gap junction proteins (Connexin 30 and Connexin 43), inward-rectifying potassium channels (Kir4.1), and primary neurotransmitter transporters (GLT-1 and GLAST) [cite: 34, 35]. For instance, GLAST promoter activity is heavily downregulated from adolescence to adulthood in most of the brain, remaining prominent only in specific subpopulations like Bergmann glia and superficial cortical layers [cite: 34]. 

This diversity heavily influences how different astrocytic networks buffer ions, store metabolic substrates like glycogen, and clear glutamate from the synaptic cleft [cite: 34, 35]. To illustrate the extent of this specialization, distinct astrocytic subpopulations and their primary localizations are detailed below.

| Astrocyte Subpopulation | Primary Brain Region | Distinctive Morphological & Transcriptomic Features | Functional Specialization |
| :--- | :--- | :--- | :--- |
| **Cortical Astrocytes (AST1-5)** | Adult Cortex & Hippocampus | Divided into at least five distinct transcriptomic subtypes. For example, *AST1* (Marginal Astrocytes) selectively populates the pial layer. | Exhibit layer-specific modulation of cortical columns. Functional distinctiveness aligns with varying requirements for calcium activity patterns and metabolic coupling based on cortical depth [cite: 4, 35]. |
| **Bergmann Glia** | Cerebellar Cortex | Unipolar morphology extending highly ramified radial processes through the molecular layer. Retains high GLAST expression into adulthood. | Specialized ensheathment of Purkinje cell synapses. Critical for highly synchronized local potassium buffering and the rapid clearance of intense glutamate signaling [cite: 16, 34, 35]. |
| **Müller Glia** | Retina | Elongated morphology spanning the entire thickness of the neural retina. | Forms physical and functional boundaries within the eye. Facilitates bidirectional signaling with retinal neurons, essential for retinal ionic homeostasis and ATP/adenosine-mediated modulation [cite: 13, 34]. |
| **BMP4-Reactive Astrocytes** | Broad CNS (Injury Context) | Induced by specific neurotoxicity/injury cues. Exhibits a transcriptomic profile sharing similarities with fibroblasts and vascular smooth muscle cells. | Drives specific extracellular matrix (ECM) remodeling and structural responses. Reacts oppositely to standard neurotoxic cytokines compared to CNTF-astrocytes [cite: 36]. |
| **CNTF-Reactive Astrocytes** | Broad CNS (Injury Context) | Induced by specific cytokine profiles. Transcriptomic signature shows alignment with ependymal cells rather than structural fibroblasts. | Orchestrates divergent reactive phenotypes in response to inflammation. Highlights that astrogliosis is not a singular "reactive" state but a highly customized biological response [cite: 36]. |

## Astrocytic Regulation of Memory and Cognitive States

Perhaps the most profound paradigm shift occurring between 2024 and 2026 is the robust experimental verification that astrocytes actively shape high-level cognition. Far from being passive observers, astrocytes are central architects in the stabilization of memory, the filtering of environmental salience, and the regulation of attentional states [cite: 7, 8, 9].

### Multi-Day Memory Stabilization and Engram Integration

The traditional model of memory dictates that life experiences are physically encoded in localized, specific networks of neurons known as engrams. When these neurons fire together during an event, the connections strengthen, allowing the memory to be recalled later [cite: 37, 38]. However, a landmark 2025 study from the RIKEN Center for Brain Science demonstrated that neuronal engrams alone are fundamentally insufficient to account for the stabilization of long-term emotional memories [cite: 9, 37]. Recalled memories become transiently labile and require a secondary stabilization process to persist over time [cite: 9].

This stabilization relies on a multiday "astrocytic memory switch" [cite: 37]. Using a novel brain-wide *Fos* tagging and imaging system in freely moving mice, researchers isolated the astrocytic response to fear conditioning. During an initial emotionally intense experience, the event induces a slow, day-long transcriptional priming in a specific ensemble of astrocytes located near the neuronal engram [cite: 9, 37]. Single-cell RNA sequencing revealed that this priming involves the marked upregulation of alpha and beta adrenoreceptors on the astrocyte surface [cite: 9, 37].

When the animal subsequently recalls the memory (e.g., being placed back into a context associated with a foot shock), this primed astrocytic ensemble integrates two coincident signals: localized glutamate release from the reactivated neuronal engram, and a surge of noradrenaline from long-range locus coeruleus projections [cite: 9, 39]. This integration acts as a trigger, inducing the expression of the immediate early gene *Fos* exclusively in the astrocytes during the *recall* phase, rather than during the initial learning [cite: 37]. The astrocytic *Fos* expression drives a secondary state change, culminating in the release of downstream neuromodulators such as IGFBP2, which physically stabilize the labile neuronal engram [cite: 9].

The behavioral implications of this astrocytic ensemble are profound. If the noradrenergic receptors on these specific astrocytes are blocked, or if astrocytic *Fos* signaling is genetically disrupted during the recall phase, the memory destabilizes and the mice exhibit significantly reduced fear recall [cite: 37, 39]. Conversely, artificially forcing these astrocytes to activate causes the animal to generalize the memory, reacting to mildly unpleasant experiences as if they were highly traumatic [cite: 37]. This mechanism provides a biological framework for understanding post-traumatic stress disorder (PTSD), where emotionally intense memories persist abnormally due to maladaptive astrocytic stabilization [cite: 37].

It should be noted that the precise interpretation of these findings remains subject to rigorous scientific debate. Critics, such as researchers from the Deneen laboratory, have suggested that the observed astrocytic *Fos* activation might partially reflect the processing of contextual novelty rather than memory recall per se, citing differences in experimental habituation protocols [cite: 39]. Nonetheless, the consensus heavily supports a vital role for astrocytic networks in memory maintenance. Further supporting this, independent studies have tracked "engram-to-be" cells during sleep, finding that astrocytes exhibit heightened coactivity with existing engram networks during restorative sleep cycles, actively preparing the neural architecture to encode future memories [cite: 38].

### Rewiring Attention and Enhancing Computational Capacity

Beyond memory stabilization, astrocytes play a direct, causal role in state-dependent brain rewiring. A 2025 study published in *Science* upended decades of dogma regarding how the brain shifts into states of heightened vigilance and attention [cite: 8]. The researchers investigated norepinephrine, a neuromodulator fundamentally associated with alertness. Textbooks traditionally assert that neuromodulators fine-tune neurons directly. However, the study revealed that norepinephrine does not rewire synapses by acting directly on neurons [cite: 8].

Instead, norepinephrine signals strictly through the astrocytic network. Because of their highly ramified morphology, astrocytes are ideally positioned to detect global neuromodulator release. Upon sensing norepinephrine, astrocytes orchestrate the physical rearrangement of neuronal connectivity on a slower, sustained timescale, effectively rewiring the brain to maintain the attentional state [cite: 8]. When the researchers genetically disabled the astrocytes' ability to sense or respond to norepinephrine, the neuromodulator was entirely unable to reorganize neuronal connectivity, proving that astrocytes are the obligatory mediators of this cognitive shift [cite: 8].

From a purely computational perspective, mathematical modeling conducted at MIT demonstrates that integrating astrocytes into neural networks drastically increases their processing capacity [cite: 7]. Traditional models rely on bipartite synapses (one neuron connecting to one neuron). However, because a single astrocyte bridges thousands of synapses simultaneously, it facilitates complex, higher-order multi-variate interactions [cite: 7]. This tri-part architecture allows the network to store and retrieve a significantly larger volume of information and endows the system with powerful error-correcting capabilities that bipartite models cannot achieve [cite: 7].

## Glia-Glia Crosstalk in Synaptic Remodeling

The physical architecture of neural circuits is dynamically sculpted throughout development and in response to changing sensory environments through a process known as synaptic pruning [cite: 40, 41]. Historically, this elimination of weak or obsolete synapses was attributed solely to the phagocytic activity of microglia, the brain's resident immune cells [cite: 40, 41]. However, the efficiency of this pruning relies on an intricate, highly coordinated crosstalk between microglia and astrocytes [cite: 41, 42].

Recent research investigating experience-dependent synaptic remodeling—specifically using a sensory deprivation paradigm via unilateral whisker removal in postnatal mice—reveals a sophisticated molecular dialogue between glial subtypes [cite: 42, 43]. In response to altered sensory input, neuronal fractalkine signaling (via the CX3CL1 ligand binding to the microglial CX3CR1 receptor) activates local microglia [cite: 42, 43]. 

Crucially, rather than immediately engulfing synapses, the activated microglia first secrete Wnt proteins [cite: 40, 42]. This microglial Wnt signal acts directly on the neighboring astrocytes. Transcriptomic profiling (using TRAP-Seq on Aldh1l1-EGFP-L10a reporter mice) confirmed a significant upregulation of the Wnt/β-Catenin signaling pathway in the astrocytes within the deprived sensory cortex [cite: 41]. The Wnt signaling instructs the astrocytes to physically retract their fine perisynaptic processes from the synaptic cleft [cite: 40, 44]. 

This astrocytic withdrawal acts as a necessary permissive step. By moving their tiny branches away, astrocytes strip the synapse of its protective glial sheath, leaving it exposed and vulnerable. Only then do the microglia swoop in to engulf and eliminate the inactive synapse [cite: 40, 41, 44]. This discovery fundamentally redefines the view of glial cells, demonstrating that microglia are not solitary executors of synaptic pruning; rather, the physical remodeling of the brain is collaboratively negotiated through precise inter-glial Wnt communication [cite: 41, 44].

## Pathological Implications in Neurodegenerative Disease

The nuanced, multi-faceted functions of astrocytes—ranging from metabolic support to the orchestration of synaptic remodeling—implicate them heavily in the etiology and progression of neurodegenerative conditions, particularly Alzheimer's disease (AD) [cite: 45, 46]. Inflammatory responses in AD are no longer viewed simply as reactions to neuronal death, but as primary drivers of pathology mediated by glial dysfunction [cite: 47].

### The Microglial Gate to Astrocyte Reactivity

In AD, the accumulation of amyloid-beta (Aβ) triggers widespread neuroinflammation. A critical question has been how this accumulation leads to the destructive reactive astrogliosis seen in late-stage disease. A 2025 study published in *Nature Neuroscience* utilized PET radiotracers in living human subjects to map this process [cite: 45, 48]. The findings revealed that Aβ pathology does not independently induce harmful astrocyte reactivity [cite: 45, 48].

Instead, amyloid burden is only associated with reactive astrogliosis (measured by plasma GFAP levels) across cortical regions when there is prior microglial activation [cite: 45, 48]. Activated microglia secrete specific inflammatory cytokines—namely interleukin 1α (IL-1α), tumor necrosis factor (TNF), and complement component 1q (C1q)—that physically drive nearby resting astrocytes into a reactive, potentially neurotoxic state [cite: 48]. Once this microglia-astrocyte duo is fully activated by Aβ, they collaboratively accelerate downstream tau phosphorylation (p-tau217), tangle formation, and subsequent cognitive decline [cite: 45, 48]. Statistical modeling indicates that the pathway to cognitive impairment requires this specific sequence, suggesting that therapeutically targeting early microglial activation could effectively sever the crosstalk and prevent downstream astrocytic toxicity [cite: 45, 48].

### Astrocytic Phagocytosis as a Therapeutic Target

While reactive astrocytes can be neurotoxic, healthy astrocytes possess intrinsic neuroprotective capabilities that become suppressed during aging and disease [cite: 41]. Astrocytes express specific pathways (such as MEGF10 and MERTK) capable of directly recognizing and clearing cellular debris and misfolded proteins [cite: 41]. 

A highly promising 2025 study demonstrated that the targeted overexpression of the transcription factor Sox9 in astrocytes can reverse aging-related functional decline [cite: 46]. Sox9 is a master regulator of astrocyte function. Upregulating its production prompts astrocytes to act akin to "vacuum cleaners," aggressively ingesting and clearing established, toxic amyloid plaques from the brain [cite: 46]. In AD mouse models, this targeted enhancement of astrocytic clearance successfully halted neurodegeneration and preserved cognitive function [cite: 46]. This suggests that restoring and harnessing the intrinsic housekeeping and phagocytic functions of astrocytes may be as critical a therapeutic avenue as attempting to prevent initial Aβ formation [cite: 46].

## Brain-Wide Networks and Large-Scale Computational Modeling

As the computational weight of astrocytes becomes undeniable, global neuroinformatics initiatives are racing to integrate them into large-scale digital simulations. Astrocytes do not operate merely as isolated hubs surrounding individual synapses; they form vast, brain-wide networks physically connected by gap junctions [cite: 6]. These syncytia act as a secondary, parallel connectome layered over the neuronal connectome, capable of transferring metabolic substrates (e.g., glucose, lactate) and propagating $Ca^{2+}$ signals across cortical hemispheres entirely independently of neuronal tracts [cite: 6]. Notably, these networks exhibit macroscopic plasticity, physically shrinking or expanding over weeks based on prolonged sensory input or deprivation [cite: 6].

To accurately capture this complexity, the European Human Brain Project (HBP) and its subsequent digital research infrastructure, EBRAINS, recently developed a scalable connectivity framework that officially incorporates "tripartite synapses" into supercomputer simulations of spiking neural networks [cite: 49, 50]. Extending the open-source NEST simulator, researchers across Germany, Finland, and Norway formalized a new connection rule that models the interaction between two neurons and a linking astrocyte. This technological leap allows for the simulation of up to one million interconnected cells, generating unprecedented insights into how local astrocyte-neuron dynamics orchestrate global brain rhythms [cite: 49, 50].

Concurrently, the China Brain Project—launched as a massive 15-year initiative extending to 2030 with a multi-billion yuan budget—places significant emphasis on uncovering the neural mechanisms of cognition through the lens of glio-neuronal interactions [cite: 51, 52]. Operating under a "one body, two wings" framework, the project seeks to map the mesoscopic neural circuits (the body) and translate those findings into both medical interventions and next-generation, brain-inspired artificial intelligence (the two wings) [cite: 52, 53, 54]. Recognizing that astrocytic integration allows for exponential increases in network capacity, error correction, and context-dependent filtering, Chinese researchers aim to translate biological astrocytic mechanisms into neuromorphic hardware, cognitive robotics, and energy-efficient AI systems capable of human-like decision-making [cite: 37, 53, 55]. 

## Conclusion

The characterization of the astrocyte has undergone a profound evolution, shifting from the perception of an inert, structural scaffold to the recognition of its role as the master architect of the neural microenvironment. Operating via highly compartmentalized intracellular calcium microdomains and the precise modulation of the extracellular ionic gradient, astrocytes bridge the critical temporal gap between millisecond-scale neuronal firing and long-term behavioral state changes. Recent landmark discoveries linking specific astrocytic ensembles to memory stabilization, attention-driven synaptic rewiring, and collaborative synaptic pruning firmly establish these cells as indispensable computational units. As major scientific initiatives worldwide incorporate glio-neuronal dynamics into large-scale computational models and advanced AI architectures, it is increasingly clear that decoding the brain's highest cognitive functions fundamentally requires fluency in the complex, dynamic language of the astrocyte.

## Sources

1. [Astrocyte Calcium Transient Speed](https://www.frontiersin.org/journals/bioengineering-and-biotechnology/articles/10.3389/fbioe.2020.00912/full)
2. [Extracellular Calcium as a Signaling Mediator](https://www.mdpi.com/2073-4409/14/21/1709)
3. [Astrocytic Calcium Signaling Model In Vivo](https://www.biorxiv.org/content/10.64898/2026.01.12.699127v1.full-text)
4. [Subcellular Astrocyte Calcium Originates in Arborization](https://elifesciences.org/reviewed-preprints/90046)
5. [Cortical Astrocytes Respond to Synaptic Activity](https://elifesciences.org/articles/90046)
6. [Microglia and Astrocytes Fuel Alzheimer's Cascade](https://www.alzforum.org/news/research-news/do-microglia-and-astrocytes-fuel-alzheimers-cascade)
7. [Microglia-Astrocyte Crosstalk Spatial Transcriptomics](https://pubmed.ncbi.nlm.nih.gov/38819990/)
8. [Study Identifies Microglia-Astrocyte Interaction](https://www.geneonline.com/study-identifies-microglia-astrocyte-interaction-in-response-to-amyloid-beta-accumulation-in-alzheimers-disease/)
9. [Crosstalk Between Microglia and Astrocytes in AD](https://www.aginganddisease.org/EN/10.14336/AD.2023.0907)
10. [Microglia Modulate Astrocyte Reactivity](https://www.researchgate.net/publication/397347003_Microglia_modulate_Ab-dependent_astrocyte_reactivity_in_Alzheimer's_disease)
11. [Time in Japan](https://www.google.com/search?q=time+in+Japan)
12. [EBRAINS Astrocyte Supercomputer Simulation](https://ebrains.eu/news-and-events/2025/new-model-brings-astrocytes-into-large-scale-brain-simulations)
13. [Forschungszentrum Jülich EBRAINS Study](https://www.fz-juelich.de/en/ias/ias-6/news/news/new-model-brings-astrocytes-into-large-scale-brain-simulations)
14. [Human Brain Project Summary](https://www.humanbrainproject.eu/)
15. [HBP Digital Research Infrastructure](https://ebrains.eu/impact/projects/human-brain-project)
16. [HBP 10 Years Assessment Report](https://www.humanbrainproject.eu/en/follow-hbp/news/2024/10/02/independent-expert-report-human-brain-project-significantly-advanced-neuroscience/)
17. [Astrocyte-Neuron Modulation Model](https://www.frontiersin.org/journals/computational-neuroscience/articles/10.3389/fncom.2019.00092/full)
18. [Astrocyte Calcium Dynamics and Imaging Tools](https://pmc.ncbi.nlm.nih.gov/articles/PMC8857908/)
19. [Calcium Transients in Astrocyte Fine Processes](http://www.rungtalab.com/uploads/1/3/2/4/132479563/calcium_transients_in_astrocyte_fine_processes_occur_via_calcium_influx_in_the_adult_mouse_hippocampus.pdf)
20. [Astrocyte Short-Latency Calcium Signals](https://pmc.ncbi.nlm.nih.gov/articles/PMC6672142/)
21. [Astrocytes Stabilize Long-Term Memories (RIKEN)](https://www.riken.jp/en/news_pubs/research_news/pr/2025/20251016_1/index.html)
22. [Astrocytes Revealed as Key Players in Memories](https://www.news-medical.net/news/20251015/Astrocytes-revealed-as-key-players-in-stabilizing-long-term-emotional-memories.aspx)
23. [Sleep and Memory Processing in Astrocytes](https://www.sciencealert.com/sleep-helps-your-brain-prepare-for-the-future-and-now-we-know-how)
24. [Brain/MINDS Project Overview](https://brainminds.jp/en)
25. [MIT Study: Astrocytes and Brain Memory Capacity](https://www.thebrighterside.news/post/mit-study-suggests-astrocytes-play-key-role-in-brain-memory-storage/)
26. [China Brain Project Summary](https://en.wikipedia.org/wiki/China_Brain_Project)
27. [Overview of the China Brain Project](https://pmc.ncbi.nlm.nih.gov/articles/PMC10388803/)
28. [China Brain Project Cognitive Models](https://iplab.hkust.edu.hk/pdf/Journals%20pdf/2016_11%20Neuron.pdf)
29. [Progress of the China Brain Project](https://www.researchgate.net/publication/361669834_Progress_of_the_China_brain_project)
30. [CSET Report on China Brain Project](https://cset.georgetown.edu/wp-content/uploads/CSET-China-AI-Brain-Research.pdf)
31. [Skepticism of Gliotransmission Evidence](https://www.frontiersin.org/journals/pharmacology/articles/10.3389/fphar.2012.00139/full)
32. [Gliotransmission: Beyond Black-and-White](https://pmc.ncbi.nlm.nih.gov/articles/PMC6705815/)
33. [Vesicular Release by Astrocytes Debate](https://pmc.ncbi.nlm.nih.gov/articles/PMC4433290/)
34. [Evidence Against Physiological Gliotransmission](https://pmc.ncbi.nlm.nih.gov/articles/PMC5761435/)
35. [Arguments Against Gliotransmission Process](https://escholarship.org/content/qt4t69t6w2/qt4t69t6w2.pdf)
36. [Gliotransmitter Definition and Function](https://en.wikipedia.org/wiki/Gliotransmitter)
37. [Emerging Principles Governing Gliotransmission](https://pmc.ncbi.nlm.nih.gov/articles/PMC4107238/)
38. [Contribution of Gliotransmitter Release](https://www.frontiersin.org/journals/neuroscience/articles/10.3389/fnins.2015.00499/full)
39. [Chemical Signaling in Gliotransmitters](https://neupsykey.com/gliotransmitters/)
40. [Gliotransmitters and Synaptic Transmission Table](https://www.researchgate.net/figure/Gliotransmitters-and-synaptic-transmission_tbl2_26679611)
41. [Astrocyte Subtypes and Brain Regions](https://www.frontiersin.org/journals/cellular-neuroscience/articles/10.3389/fncel.2018.00141/full)
42. [Single-Cell Sequencing of Astrocyte Subtypes](https://pmc.ncbi.nlm.nih.gov/articles/PMC7058027/)
43. [Heterogeneity of Astrocytes in the Brain](https://pmc.ncbi.nlm.nih.gov/articles/PMC8715392/)
44. [Astrocyte Isoform Variability Patterns](https://pmc.ncbi.nlm.nih.gov/articles/PMC12420811/)
45. [Astrocyte Morphology and Reactivity Phenotypes](https://www.biorxiv.org/content/10.1101/2024.11.11.622998v1.full-text)
46. [Review of Astrocyte Intracellular Calcium Signaling](https://files01.core.ac.uk/download/pdf/345206256.pdf)
47. [Ip3r2-/- Mice and Astrocyte Calcium Insights](https://pmc.ncbi.nlm.nih.gov/articles/PMC4946798/)
48. [Ca2+ Events in Astrocytes](https://pmc.ncbi.nlm.nih.gov/articles/PMC11670731/)
49. [Progress in Astrocyte Calcium Signaling](https://www.researchgate.net/publication/380744465_Astrocyte_Calcium_Signaling)
50. [Astrocytic Ca2+ Signaling in Neurological Disorders](https://www.frontiersin.org/journals/cellular-neuroscience/articles/10.3389/fncel.2025.1719532/full)
51. [EBRAINS Tripartite Synapse Details](https://ebrains.eu/news-and-events/2025/new-model-brings-astrocytes-into-large-scale-brain-simulations)
52. [Nagai et al. Nature 2025 Memory Stabilization](https://www.riken.jp/en/news_pubs/research_news/pr/2025/20251016_1/index.html)
53. [Mechanisms of Astrocyte-Microglia Crosstalk in AD](https://www.researchgate.net/publication/397347003_Microglia_modulate_Ab-dependent_astrocyte_reactivity_in_Alzheimer's_disease)
54. [China Brain Project and Cognitive Function](https://en.wikipedia.org/wiki/China_Brain_Project)
55. [Progress of the China Brain Project Overview](https://www.researchgate.net/publication/361669834_Progress_of_the_China_brain_project)
56. [Prospects of the China Brain Project](https://pmc.ncbi.nlm.nih.gov/articles/PMC10388803/)
57. [Astrocytes and Cognitive Deficits](https://www.neurosci.cn/content/archives/20241/Volume40Issue42024/researchhighlights/202404/t20240415_624070.html)
58. [China Brain Project Biotechnology Video](https://www.youtube.com/watch?v=L6ch9zs-ic0)
59. [Astrocytes Found to Control Brain States](https://www.quantamagazine.org/once-thought-to-support-neurons-astrocytes-turn-out-to-be-in-charge-20260130/)
60. [Astrocyte Networks Span Large Swaths of Brain](https://www.thetransmitter.org/astrocytes/astrocyte-networks-span-large-swaths-of-brain/)
61. [State-Dependent Cortical Astrocyte Ca2+ Signals](https://www.frontiersin.org/journals/cellular-neuroscience/articles/10.3389/fncel.2025.1606265/full)
62. [Astrocytes Influence on Neurons and Neural Circuits](https://pmc.ncbi.nlm.nih.gov/articles/PMC12571388/)
63. [Astrocytes Drive Brain Rewiring During Attention](https://www.news-medical.net/news/20250515/Astrocytes-found-to-drive-brain-rewiring-during-attention-states.aspx)
64. [Microglia and Astrocytes Fuel Alzheimer's Cascade (Detailed)](https://www.alzforum.org/news/research-news/do-microglia-and-astrocytes-fuel-alzheimers-cascade)
65. [Microglia-Astrocyte Interaction in Aβ Accumulation](https://www.geneonline.com/study-identifies-microglia-astrocyte-interaction-in-response-to-amyloid-beta-accumulation-in-alzheimers-disease/)
66. [Microglial Crosstalk Early Alzheimer's Targeting](https://www.bioworld.com/articles/722179-glia-2025-microglial-crosstalk-could-be-early-alzheimers-targeting-opportunity)
67. [Alzheimer's Disease Microglia-Astrocyte Interplay](https://www.frontiersin.org/journals/neuroscience/articles/10.3389/fnins.2025.1575453/full)
68. [Microglia-Astrocyte Crosstalk and Synapse Remodeling](https://www.scienceopen.com/hosted-document?doi=10.15212/npt-2025-0017)
69. [Engrams in Amygdala Lean on Astrocytes](https://www.thetransmitter.org/memory/engrams-in-amygdala-lean-on-astrocytes-to-solidify-memories/)
70. [Astrocytes as Key Players in Stabilizing Memories](https://www.news-medical.net/news/20251015/Astrocytes-revealed-as-key-players-in-stabilizing-long-term-emotional-memories.aspx)
71. [Nature 2025: Astrocytic Ensemble Trace](https://pubmed.ncbi.nlm.nih.gov/41094146/)
72. [RIKEN: Memory Filtering and AI Inspiration](https://www.riken.jp/en/news_pubs/research_news/pr/2025/20251016_1/index.html)
73. [Astrocytic Function in Memory Review](https://pmc.ncbi.nlm.nih.gov/articles/PMC12519761/)
74. [China Brain Project Cognitive Function Breakthroughs](https://en.wikipedia.org/wiki/China_Brain_Project)
75. [China Brain Project Future Research Directives](https://pmc.ncbi.nlm.nih.gov/articles/PMC10388803/)
76. [Astrocyte-Driven Approach Reverses Cognitive Decline](https://www.news-medical.net/news/20251121/Astrocyte-driven-approach-shows-potential-to-reverse-cognitive-decline-in-Alzheimere28099s.aspx)
77. [Biotechnology and Synthetic Biology in CBP](https://www.youtube.com/watch?v=L6ch9zs-ic0)
78. [Progress of CBP: Double Target Approach](https://www.researchgate.net/publication/361669834_Progress_of_the_China_brain_project)
79. [Time in CN](https://www.google.com/search?q=time+in+CN)
80. [Time in China](https://www.google.com/search?q=time+in+China)
81. [Wnt Signaling Synapse Remodeling Paper](https://www.scienceopen.com/hosted-document?doi=10.15212/npt-2025-0017)
82. [Astrocytes and Microglia Regulate Synapse Remodeling](https://pmc.ncbi.nlm.nih.gov/articles/PMC12489809/)
83. [How Astrocytes and Microglia Remodel Synapses](https://www.technologynetworks.com/neuroscience/news/how-astrocytes-and-microglia-help-to-remodel-synapses-405531)
84. [Cell 2025: Microglia-Astrocyte Crosstalk via Wnt](https://pubmed.ncbi.nlm.nih.gov/40934914/)
85. [Inter-Glial Coordination in Synaptic Pruning](https://www.maxapress.com/data/article/targetome/preview/pdf/targetome-0025-0004.pdf)

**Sources:**
1. [nih.gov](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQGdkmElm1OP9xuiEjWvwRO83va3ePpg1w8nN-0IaD3SZNrSyQjEHEVEB8RNZWdFVnsIOj4ppOodHJcT-sMvt0vlVp00iLQ6teErsvFbXtF66cuB5Pd_P53PgHCQKtVhABJURwVMaFyB)
2. [nih.gov](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQFCmNx70IuIpeGgSsoTz8ewyZXM_oa9bdBFIM5QsbTIif18rZtfquYxMO6GZjUauQynDFxStoOjKtrsV3blI2VE1CxvOdNsUcHMVX99UoreKVakqyXykDogKol3dLKFTY1OyYmJzuSZIQ==)
3. [nih.gov](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQGvEwfLmW7EOJxS1y6d18ce_uBjqslA4ULckmlj5eYIAsSPCPB-RATj2V8aGcHFi6IANqrbJoWjClaeyHABF6-OiGn1A7mcYGbSSI54Daic1D6EeEAT2-WTymF6cdm7YkeR80g9DinO)
4. [nih.gov](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQHPBcq8-jdcrAmvqX5MSS7g4e-gziclIItzkzp7wOEkhuKCas5CPnVpVvXu4C_U4YnXqsWl0ANv6B4D1r4WK6Jvt2BRAECaIvNnwnS5lwSJ0sKuCXRRmh-zcmZR4kv-CZ8Mg0brBXrA)
5. [quantamagazine.org](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQFhyyTkooU4JJ4ngUdBr2PNWZ04SJ842dqVJKgW-OSa9At2NRp_f6ZsZKHb-IyrazD5BNcvPpFCSTCnOFBi3ECObGBTyloc0vtZZmE7jBA9XS23u893FmOyy8YUTCRGnjBc0bQvFYcAuCSe8uC4gh28WIMx4BRcuhMlw98YKNTTzAAgZx2ue1_s1-tEWUPu1QQE_xGZ0HFeGtV-dG5tJFof5nQ=)
6. [thetransmitter.org](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQFL2wjGhDDO_qa_PgMpdfOp5HHL_1yK1YIRvgl3aB_TTCE_puEYFsHta8PVONVreLYimK6laJsEN5KzwM68sXSFzgK_fE2eCIDuhz5CoMW0BQTah9rfCmnWmFO67313dzQf_ya3KdoGXC_H7BMYJ7R1Nc24v8J0J7V8SY6N0thszi6bagZkgSj266XwEcXO)
7. [thebrighterside.news](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQFl8gb8eiH7aZi-fsag6eRBnKrHZdn5LpefYleAezDX-tRi3W2jFU7HaQYjjLzB9g5mXUSYxAszzG4Unlz5vf3kTnn6wJp58WCuLlOCfCTncKm2rEg9Lwz3X0fk-2uUMWU9x2ZaHN5nK7lHRjXOPWxHC8DN-X4wUgjy984_bvmp8M_HLJMAIPjVYVjcSTGXPbaYSCEKvuE0EhrAcJHO-DYU)
8. [news-medical.net](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQEWAYH2Te2YBn5tNGp86gncqKWNwCUCZbh9pDFlZa2M0UxzlxEA_1rM6YABiZ3yYjhpKHW6Pz7R3SOfOmfOKjjxKqHKbvSXQHR3xhBiVURYVrmL0yiQhM8DxY-qS1B2qvofYktzUpJaj0rh0z8vAJjT4tw8Ou49X9iyV9qUZtYK4STSpdjrjGo3dIB6_F6Ae_JMiv_vUy5N-e7j3gF7spi9rEkhsj-D)
9. [nih.gov](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQHaHnH7DsUOS4mTDOAiIq3lQzFIEk5E5PwZAqi08BEj5HuZAfeYpGYw1BrndQ_i-JALxu5f08mH3fgAIcSWSPtfUePZEwtC8IWinlXHCfyG7mXeU1R9OOuq8Cla2Q6EIA==)
10. [nih.gov](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQGVkW7mpU8tAvjX2XtdZ6Kg7p-mmcsaCqWajAy1gpedWnSiFhtdCwgjo1jg2pWcQuk14Jl2RZ0IR2_hBoiAut1m68qa7-9eMhOa0hmjcg09ltqKIRFd5u0CGqdfwdGgOcW-gdVcEzC2)
11. [researchgate.net](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQHV6_i2SgvwDMQeAlFTNMelXXKrZVkxiwK7Oj1Q-kyviQVmU81jEqD2isdwApVxjW0QmxyUD3J_4ToIgA96920n-0tvAbc-XfYQherCUxTIXtfuLd1pn27p09jDAPCst4-Y1C7HTbPDpS2Olf1ugo763m9FrFXGn5Vc7LwrOLRDvbd7U5uz_UWdYS_APq5gIyG3WA==)
12. [bioworld.com](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQFPsGliezmXbzUy_0PfIWfLdTOAWSApTYP_2ol4uF1j-hptzACZvdJI9MEOm3-nk01UOqzgpRESvs9icJ2ap6J_ocuqsPsTaM5n-K5i2JTRvvrhfJDWETUrFrxNSNQtYWWtPuPr4k7BZTCr-qYgI3fs9DmkaDu9iG9uCEoDp7oVX7MbK3HQiRpf9jE1idhYo-8Dql2Vk1L_Uf2M8tcYoJiFtBXBtMPHy5XvWHQltg==)
13. [wikipedia.org](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQFMSgFOLvYP9eJVQVUgikTqu0Kr9q6oBT9PQnTQTfDD05tZVe9tLlrnAN_-vByI_NFlRlbJ7tTbqlRimxXSzshzka2oa7zSwZnLHtXlJ7jfAkeXu6B36T2ykFmEaxYlme1BuxY=)
14. [mdpi.com](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQEcpd86LsHpBPKHDXCtYaPXgkCpAQ6DByoScVTbB7VWpKSz4JhSiCVgFiyd7ubcDpeyo9WQStADAjPu_nQWUlHh9bp7oc--JwLr20ajSjNNR40vOAvQR2PU0XIxfVxc1g==)
15. [nih.gov](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQE82CNV_kYkARWlkXUT5OaOGYuv2llQY04JwrXaJZ9TGIR9cvRfgADMd7-zmIz7G_bOMqClQ88cPoAReSYaui97cTrs97gUV-sdnGErFJDCpTnc6y1dD5XAaeuXFK6Ik-eF2O4y01ojGQ==)
16. [frontiersin.org](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQEd6SlDCUx3a-oVLkOPxds3xKXqCOf3mibEV3Mr60l6hW_BtKengA4uJequFLn0z3oEspnulk1drUZeCgt3T7jUNSX0eC4ze-Sz3K6D-VAkdYtutnpClL5IFmd8AnurVaVkH-s-iJSyTcyKmMucj81lnzaNsbTYLNOSXflfcDNI7lGS2uIdDaiURBke8WLuJvt-_dnPdp4AS6c=)
17. [frontiersin.org](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQFP2JGHW1hXsTnvf6-9t3ijfEhmdX93TF-F5MYQNpdX8xZ9JiYQfZmZYL_wWHfOKf_atviHAufikxnx2IM4XGDi1egMrRGAqviKe69usnsrLs1BbNfIK2P2ou7l4C57noT1IKS-3prNrNAf08ka4sfOnJmeKiOWSJXsEF0mlFbmikLCFFtZJdHccYtxkfNugm17DjJjLuZs94quctEN12GCnm4=)
18. [nih.gov](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQHOpg_EzHsP_yNw-yEw_hIBqrOs13iUWAXRyW6VLVoMBLhx1yDGVvScgCYQtcAmXUmEujvfv8Jb7nnnXqoBBONDrF1JkF1U9CtYgtMfyRQbxE7xIXmnK3ycd7i2i2ZYx4-rSr2ohgJN)
19. [nih.gov](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQFsOepOii4XzhaVGA1neG_n4-pPwno7dk48yfovBtA_DNhB4MUKxOqwasCeWLQYMZPjew1PF2u9x5YryTi3mLJKwipmSHPIcjaLOcs3uj84X25o8Dbd-oO0cNh_DKbAYMYQbTJENC6g)
20. [researchgate.net](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQHkH5S7jLcSve4hwOmaZ_YlJguWkCzoa7C-yYjb82CMjD5GKoDdf0dXxlo6J7gCHTwvr80o9VTy6_0TjRJOww814Vt2Dvx4c6ti3xPNA366bZMimSTUsfN4vbDe0sIrgiMsyWxM9G-rwQ6WIuaPZODXXd5QwSIwe4AsSvIWolAkmjuolxI=)
21. [nih.gov](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQENwCxLOKkqbi4TYhoM2ae1PeR9tu5I-sM9vpNZ5YPWZmSUTgntMHR2oi7eM5VNzRfRrmllODal5GnyjVH06eNdHvGfjkfh1bdaePBaQSx4gGaTBfNAMA5Rh8pRbOS2tKH4doW4t5pG)
22. [rungtalab.com](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQHg73T9tUpHpuXKkoK_c3DzxYALriKSC3h1IHJ1bIw9iHlwDRnKKAzenr44Lom_xsLXebpLBh2KBOpl8-mSUOQy3FBNTTL-_1gGJ5ASpfFeH5aS9RbA6vJRogUkuPlkEZxcXaywDlavNSYolgRM2EySI7FaOQ6a5ZGNJ8w1S3icu8drOrvdPhNSREgXUb24m_bSFVndrgzUTWlprH5RyCJa9569vk1KYknAekeKZqjclQQs3E2pGJj27nxYEDDfqJxEDKtF_p0TJP27QAX1oUnir43A6A==)
23. [elifesciences.org](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQFRpQmAm_CIL7NmzpI73DqqUtMQY_YKRWEPBvOmr6m-8RtNenRZJu0Jk1CdDG6yJpEU7drUpYs51FNW0ZJljRm97HHFaLZ_Ocsy0fgK36N0vNf_egyiVVNsAvSOm6htxaDvvmv8yx41zA==)
24. [elifesciences.org](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQFGEZYY5Wrewy5zCiQ0woWrsAtJV1WCHVUtDyznqbLlOgel_kjwRFs5nybBr3lC62HLDJUmuMHqtOiRx_Bnes4Cdg5GDHEeFmcDs3eu_v-w1mbAFN31IPQMrtX7Cehd)
25. [frontiersin.org](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQHq0j1bkkdC5rwwhANMAmh3zWJhCsxFeGszO26vWMB2OOwmI7XWk7DjZYHjzXJrY38eSR9m_Fm7dPk-O-Epie74-624hzD5Eh2VAfhMB_MPOxUg7ZF4QpN-R1GVPwg41xJC6x44DH4lvFc-E7lt0kSuBIdbhS6FtQcWNHK9nU9E38GcrgbxuSVz0AmIwWuR)
26. [nih.gov](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQGfJjVezIYKD5eSSmRqaSZqMsGCsBl8EIXpHfCrssfwFscooDpP_rb3tquGoPxvQn7rrj8PSBL5zYvWBhQXTj7WLmXTX6QC0YBWloZOR2F0yk4OQlezwLizM2saUlBTxw4c_kl0Oibz)
27. [neupsykey.com](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQF6-yg4WlLfupB2l196XqXZ9N4M73ykD0mdfPb_oRgI5eDAby4QKM_wB2fGgCvU5bLZOZL4mvC1z9W8jHiiFL-PqRh6g-ifR5iagk3EOBgdzn18BH_Ef2jYypo-9y4=)
28. [frontiersin.org](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQEljIerKnL54kexiaC2jW534Av2WaTDnqwDj5pEoSy8J_T4ttT2zD4rsv8D1Z791S_M-qyulpu4lZy2GbsOsx7jIFh7IdtBq-c-o6bwnvOoE_bVv__NgmG2g49rWwpbUs6YvQcq9hZuT26UOhGxr1oYuX28lDFrH0SrxI6B1yE2SyQbvWh-VMLFqN424AN-)
29. [nih.gov](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQETFI7axgI-xTYCMaImGDLJpk-nk1Gfu79XgLb3RtlMsDwBmi9LA59tpQXC4NsRb1bnTArx4KWkTJrqITnK_nD7PrRqh_18YGPgw-22CMbDLklFGWEDYE5DB7BwSmUtnGTe_edVvY7Edw==)
30. [nih.gov](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQGACrS6Mb6IdQWyfNijXGeQmuF2Tmx8J75NMnY5ZZuxpyICbvZlfBJ0_MZFAMDBGmfTH_4Jxzw_Fal1dTj4rf0CA2cmtXJCzr2VFBelvWWL2KR4G-N2GESi7N97Jyra9oe0dmVgiVpX)
31. [escholarship.org](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQEE7OzY3YdBI29EfQBnZckJojLdg2Gem5MBHEKL8acudkgELx0wmOBT-MQEXp3UgcjFwrDh6CkvcCP7MDafhK4BMaNEoS9dYzpd8oTIqy6cpPxE3MbNqWjWHjM9lW8fpE1daf6p8WM2xkgPoH4vRzA6)
32. [core.ac.uk](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQGlD0XzmqrDuxATdk1LuEegyKMOKkNWkA3QSKGA8GJpc0-YIg-G-QgxD9_CuechTRPB3flg2z5ReVcJmN7nSsmv6FZmI7Uo71UuXbKnW5cLEydLt-rUjDFTSGq_mM-V6JR4OIv9i-Q1zCbo3Q==)
33. [frontiersin.org](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQFl0G5kOFRpbio_-GTYJ38v5kTZVL09xZxCGIl_La04dfKXs-h7ccta7lxhyuoe2cepZqTKMUkr2fuvIO8xXQDYj45Y9gO2zh1Ux8AmZkluts8gec2oB87nPllZWwqcK0OccSu6ZlgV8bgvJnfvunZBGv2OxxfBgsz72HICWSYsYT7pRRDairEmSV733HfkzkXIso0Ahu_OeOI=)
34. [frontiersin.org](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQGxhVrWqEK45Ivj29FbaSBVkg_lLngkp4WPKQwyDB4ThvMg_QbuQBgT06oMHEOWlMV59BgIi2Aim4nZY8NUh05FmLlz9bDQGpj1Akys9lk2VgmPPcr7qC4appbq3ZUbrbjHplTToHoW2P8_RkNtGU1VjkjZOtDlDdArSOp6GRBMZzD0aeHSGg34Q9Yh9JxE_oBUeh5384tE)
35. [nih.gov](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQHCcjMzmoFT13tukyefxs7HlRnHr2fm7-164-jaxi82n1rvzfr74mAxn1bSzA947l0ZK9pgSPjPf8d7BsKXbv7qjmJIywgotJG5f75lBJtj2m2d48LTZIVMgquR-sGf4LuxS4B0zbSnww==)
36. [biorxiv.org](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQF6DveRe4FTcaI3nIrwyx4kLLLgtxmfFAJwez8j7b0_GMXJSPMFqQ6iEo2kKcJUnaIovmPA0Cj-vt8jpqC6nJkGYyPzZHuCgv8l-D9c5zzTqwudZLSg0A2TjowA9jmHCDSOOJyUT-1S-HdSMI4I5rQMkFhxKjtKp8nI7LU=)
37. [riken.jp](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQEKTT1v1mTVloqR2g8MghyGwTuM6iLEt96mKcAjD-CXxQR9J8CiChN5khWKtidt07upZMVoGncL67nsZaoIZ5ezxeaBiJHUTYKhBZlwyZ2Mu_sy4DHHGvW8u6UlzcpVJrFIP2qj5LsgEyyt_MP643DbwzKn9XaYmE4obDytLX9th1WpWQ==)
38. [sciencealert.com](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQFlQq-O4ZQSKBhqUysAL7nzyUOODjTJNWU01DYWEkh707UOD0qtkJT2zFAA6Zev9hdaaATGYiypHTZE13NHB63HkTao1FASCYvOuKnet5K5OCjUautSpyxRwB1Nyw5xznlKrg-t5W6dlOPPEBoiIMQ0h8IPUj7XwBqMzYkDNJCtmxktosclWcqD3rEKkab79w_3cUQv)
39. [thetransmitter.org](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQHezqCCgHeFVc0wX8FiHyrY9rECQwCPToaDQt7WN1xZxQTlLOYrY08V7b64CcjQ7hnhHEmIM7N8c90ScSgiYPkoanzrFjkNp3oTvs4LMYesCSgsjNHvPdHPn3vVEU8x01dSkmr61pYgP0ZLNNVoKQKEwyKiHigxljimhybxem0RMTpiNixN4AXm7vzGac21xTbW0T-4ZISo_Q==)
40. [technologynetworks.com](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQEuhftmP97f6h5oMyjyEXZMxuF39m38WBQ1WGOG7heMCuNoo427lwHuRnfA8QQYwzs_qe1iP4pJbxwkEa0_kcONqaRBpPGJoco0yc2tEV60uqUM_pTBa7wkR_qH9GVfyEkzevB8NlcofOD0m4OT_YJBfaZH-bWdjT1B_mcMJtdMqfivGgnNWGuTDhyxwaKQa-GQCdiWoGYZFIGVv7SKu4tmvNZFcFp6NQ==)
41. [maxapress.com](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQHFDqZEOoZ2UYn8iy0Wp4A62rxSnOD_SF-qDtIr1LVIvpfdc8Ke6NjPCI9yJQWoUwsztRFZ9EpODd_c0_9HqphDEl_EnitHBmtT8bKudAfpOhUR6ax5oGl0S3lEHk10gYolTomoXu0JHduZl0IM0_rFH45XJU0Nh67Q0Y8fSCat2TJIUC5uQGE07TI=)
42. [nih.gov](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQE2lxtE3AzbwawmSOSaq7_Nmif1xZd3p4V0Tzv-OPnPUEVqLP7icFnzGVX-35EsfrfWISZvw_g5IW0SH41Osw2NQpdOTlH5Zd7C1Ovndo5H2lwb49MTBPTAu_GEqZ8x8qTkkTgRW90egg==)
43. [nih.gov](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQE-izkdpagQjDGI_4du4nZsngf2jLHiUBgWz88coI6SCF4Nr2yShh1gCB0EAm01ERBQEs-H8LiTqYVAtVk1xLjwmp2P6q3cqV8gsp5sdXegayEusugoOrPEbvTdW4YnmA==)
44. [scienceopen.com](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQGs7DugjdXOJ7Nl4jll7uCiJK_QbJAQRDPZpK7-chLDgPkrdblSGOzVBmB2NbZ_tMgZ-txLr_77Y7Lmi61l1BbCbU-jxrGU6hNmMC63ShFC6JjLGBNDqVrsUQfRC2-CnY2m2AS5HyypI88KjO7c_xUgonCRk7Q4scuPrEeE)
45. [alzforum.org](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQGOObhqFKDHGIkX06mK82PVrdwLBcQmx4ahupTnbRGymzBhJfj3CDu66r1M5UKk55xbe1oZlV69Frc_Uv7nmJJ-ZAdFsF93WzYOckrTz1uKaE2sq1gfUDnUt09ld54JW_6zSM0RYbPuv6ApSLC66eD79qP1Imuw7hPqJCSiANb4rI-e5R5EZbvrw9YSnXvT1Ay4H81uqA==)
46. [news-medical.net](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQFXJnDKa2zNOJ0epuTct6DomFSu8vuyTrrg-zw-nAULKFfJu2tHNjt9zHSfrf-7fN_nhK20ASVwfBmwaMZNiozooX7YbJNFOEqhr3NqeW8ULNDr_5znoxdX337EB-vS5Fs-IpOxmnBY_HsIUlaiRY_olbVaZ-KzPhAv303NO143aEuHAHVrBm0Q730Dtozch0fmnUrNcWxZTFR7phcAAUU4ovgUOlxR_79eZiSZT11JlYiptvI0V3AjnkxDv1VnagIg)
47. [frontiersin.org](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQGYEP8y4OBFTT7rL74GRx3DcexLiSJh8V5xjIlBRr-gJmTyEei0OBy4t8hJL8wwE-5l3gKSNJNsHf2iiS-7mKrq7Xzu6YQkY9FBar1HX_OrwHYqYWRBnOa9TmPVBBeAU_DyuFNzsY2D74npqg6oAhOoZ6kzvwSpss2Ms6GO9PYqtEhLkUUYbxx7H-2RQZGYTx4=)
48. [researchgate.net](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQECvDxOxs1upeKHZKWgXe0VWzKdAwp6dDyetuix5nPSqwu0izOyn8015YeDTKYcd3yF9kLTIovz5ycdwKvatMM2o0zQAkTr5xGNHalMf7MjlIfEKJN-jte_UJjgn-7Jbzo4vOUg2Rr3p8F5w4VDRi-NMtqJiGeeikgEPN4-t22K0Hv9NEX-n9xTUkHK_y-4D9LJ4TdDPC8UnUwCkH_iOxhL0mXmskdiNoJxBArmhMIYCR09qK4=)
49. [ebrains.eu](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQHIh7i_zpzE--xYGDVpkrANAR8g6UzBVvN0z3VrhXbMOAab-OOIwgnFcJ-a6N-B7TZjiNJRaib5T3P-wfgXqW8mZVLRwox-yGddqvA8soF-lHLUNd3hiptwTFsrtn3ymjLZUPg1d-LLPyLpKRoWvOYc6iA9CBL8OGjDMDGN4QObQCd4QxS_IieU9y_trh9cIjLpo5UTexfc3lgJT9Y=)
50. [fz-juelich.de](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQEFqVnGmgYPl2xlLUXmmW-8vfEXTgriBmrGJt9cQLgaFLaIYB02DHzee8qNso_6aBPKPPXC9ZFyhD7yCkhf1QZwsr8FWL3nrD7TLmwChDXqXbkH2e9Xl07bFlf9YfKnDy_sOsoXKyTlB2QarqF8dR5Cqe5aHrV6b7xBRVRDMIZCFE8GWlYOA8EVaHjLGOIxY1FTPmYfFKEbbXR_Ipq_WWi1Axz9rq4=)
51. [wikipedia.org](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQFe_AE_tOiUTN7sRvCDvLoPVv_fzRbRmNmthYhMijWFqSae21bbvDWxJkVztIK3yVv46-A-cdeBCg_BtdUnZzVCbF1KSscD0GGFahyZEv8eoqFuNL1jd0KoR6Xi3vrDyvhXzeVy35y3)
52. [nih.gov](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQGtIXX0U_ye-sVAkCXb8TW81X-2FqaCq0KdbZnChcLIGWlSqrcXjSFBO8wT75Jb7XWIcq0gOVUTRcYVBEDUM8l2Q1cC6K6-xT8-kM6LUqR7E2dseJ7Lvctv5rhSdUwKkznMHGnxlEc7RA==)
53. [researchgate.net](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQH9So8Xz4ftwmDYMOLgEPRxLpjw1MOkhqTe64hJ0VCUPEP3WUCQ0BRP8rBDxihdRbGQqCoifF7LcE0mAV_gutCpUZy0Z6WnmcRkCnc4smcFlibQv78dYfxvrO6I_NiN33YbNmT5MiTJBNryRyTaiGQ9w6AvfgeqtT7mlZuhk3BRUnYzri3PmCfSrSZ64A==)
54. [georgetown.edu](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQFn49SYaF_CT3to-AwDhM0qccv_JnwM5cwTQery5QZeWLLIzEzzP6IyXG5rdp1fdtW1FfoCl1msVB4bYdPGaowKftwh6DNCjunsFV1qbTRwCoedhq0OexoTiDP3JzuBzIgxC5FNCTwh8vdWwcD7c_ShW0JBIDdshpigtH35tIat6HbqgvPj)
55. [hkust.edu.hk](https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQFekOhc2jHfluE-ZtUhhIBChgmCRsJpWey0ECZULNOKZJlo_vQ-FtwgLWfO0AWQthffhrbTa1JSDAWsq7svndnUlvR-6snHrtq-fWzNUYEIXlZt003TOQaYiFt0CNp_ENJT1gVgVF3DdBPAQI8YULTW9V9ekfkKu30=)
