Skip to main content
Communications Biology logoLink to Communications Biology
. 2025 Nov 27;8:1710. doi: 10.1038/s42003-025-09172-8

Subarachnoid hemorrhage mediates human neocortical network, membrane potential, and action potential bursting via glutamate receptors

De-Fong Huang 1,#, Ming-Yi Chou 1,#, Yu-Hsuan Lee 1, Yi-Tzu Chen 2, Chi-Kuang Sun 3, Kuo-Chuan Wang 2,, Hsien-Sung Huang 1,
PMCID: PMC12660928  PMID: 41310384

Abstract

Subarachnoid hemorrhage (SAH) is a life-threatening neurological emergency with high mortality and morbidity rates. Despite its severity, the acute and direct neuronal effects of SAH remain poorly understood, particularly in human brain tissue. To address this gap, we applied cerebrospinal fluid from individuals with SAH (SAH-CSF) to human neocortical slices and examined neuronal activity and intrinsic properties. We found that SAH-CSF significantly increased population-wide neuronal activity, depolarized membrane potential, and either elevated firing rates or induced depolarization block of action potentials in these human neocortical slices. Notably, these neuronal changes were reversible upon washout of the SAH-CSF. Furthermore, kynurenic acid (KYNA), a glutamate receptor antagonist, effectively prevented SAH-CSF-induced neuronal changes. Together, these findings revealed key neuronal consequences of SAH-CSF in human brain tissue and suggest that glutamate receptor antagonists may offer therapeutic potential for SAH.

Subject terms: Cerebrovascular disorders, Diseases of the nervous system


Acute and direct neuronal effects of subarachnoid hemorrhage mediated by glutamate receptors reveal therapeutic potential.

Introduction

Subarachnoid hemorrhage (SAH) is a life-threatening neurological disorder characterized by high mortality and morbidity rates13. Moreover, SAH acutely induces spreading depolarizations and early cortical infarction48, impairs blood-brain barrier integrity9 and increases seizure activity9,10. Despite past advancements in its acute management and treatment, the improvement of SAH-related outcomes has recently plateaued11.

Several mechanisms underlying SAH have been elucidated through studies in both human patients and murine models. For instance, key metabolomic and lipidomic pathways have been identified in individuals with SAH12, alongside spreading depolarization, and disturbances in the vascular and immune system13,14. Murine models of SAH have been instrumental in investigating potential therapeutic interventions and exploring the molecular and cellular mechanisms involved1527. Despite these advancements, the direct and acute neuronal consequences of SAH remain poorly understood, particularly in human brain tissue. Investigating human brain tissues offers the potential to provide critical, direct evidence and insights into these pathogenic mechanisms.

To address this knowledge gap and fulfill an unmet clinical need, we first measured both population-level neuronal activity and cell-type-specific neuronal excitability and synaptic properties in human neocortical slices. We observed that cerebrospinal fluid (CSF) from individuals with SAH (SAH-CSF) significantly increased neuronal activity at the population level. Moreover, SAH-CSF depolarized neuronal membrane potential, and either increased firing rates or induced depolarization block of action potentials. Notably, SAH-CSF-induced neuronal changes were reversed following the washout of SAH-CSF. Furthermore, the use of glutamate receptor antagonists effectively prevented these changes. In summary, our findings provide insights into the acute and direct impacts of SAH and suggest that glutamate receptor antagonists may offer promising therapeutic benefits for individuals affected by this condition.

Results

SAH-CSF increased population-wide neuronal activity in human neocortical slices and anesthetized mice

Surgical resection remains the only feasible method for accessing live human brain tissue for ex vivo analyses2830. To investigate the acute and direct effects of SAH in human brain tissue, we obtained human neocortex samples from patients undergoing tumor excision surgery (Fig. 1a; and Supplementary Table S1). Human peritumoral neocortex was verified (Fig. 1b) and used for subsequent experiments. We then performed two-photon calcium imaging using the calcium indicator Cal-520 on these human neocortical slices (Fig. 1c). Three conditions were applied: artificial cerebrospinal fluid (aCSF), cerebrospinal fluid (CSF) from individuals with hydrocephalus (HC), and CSF from individuals with subarachnoid hemorrhage (SAH). We included CSF from individuals with HC as controls, in addition to aCSF, because human CSF itself can induce changes in neuronal excitability in resected human brain slices31,32. Next, we analyzed 12 representative cells across these conditions (Fig. 1d). Under SAH conditions, most neurons exhibited increased activity (C01–C06, C08, C10–C12), while a few displayed decreased activity (C07, C09) compared with the aCSF and HC conditions (Fig. 1e, Supplementary Movies S1S3). Overall, SAH-CSF significantly increased population-wide neuronal activity, peaking 15 min after treatment (Fig. 1f, g). In summary, two-photon calcium imaging revealed that SAH-CSF increased neuronal activity at the population level in human neocortical slices.

Fig. 1. SAH-CSF increases population-level neuronal activity in human neocortical slices.

Fig. 1

a Schematic representation of human neocortex tissue resected during neurosurgical procedures for brain tumor removal (left), alongside a representative image of the resected neocortical slices (right). b Immunofluorescence staining of brain tumors and adjacent neocortical tissue using antibodies against astrocytes (GFAP antibody, red) and neurons (NeuN antibody, green). Nuclei were counterstained with DAPI. Scale bar = 50 μm. c Schematic illustrating two-photon imaging of human neocortical slices loaded with Cal-520. d Upper panels: Left, representative image of Cal-520-labeled cells in human neocortical slices under artificial cerebrospinal fluid (aCSF) conditions, captured via a two-photon microscope. Scale bar, 100 µm. Right, representative field of view highlighting regions of interest (ROIs) after cell extraction. Lower panel: Representative raw fluorescence traces from individual neurons under aCSF conditions. Scale bar: 60 sec, ΔF = 5. e Heatmap displaying neuronal activity of individual neurons from resected neocortical slices during sequential addition of different solutions. f Population-level neuronal activity plotted over time from human neocortical slices during continuous solution application. g Average neuronal activity within defined recording windows from resected neocortical slices. Data are presented as means ± s.d. or as box-plots showing the median and interquartile range (IQR), with the whiskers denoting the minimum and maximum values. Statistical analysis was performed using Two-way ANOVA followed by Scheffe post hoc comparison. *P  <  0.05, **P  <  0.01. N = 12 cells from one slice of a single subject. HC hydrocephalus, SAH subarachnoid hemorrhage, 3% SAH: 3 ul SAH-CSF + 97 ul aCSF; 5% HC: 5 ul HC-CSF + 95 ul aCSF.

Comparable results were obtained in the neocortex of anesthetized mice using in vivo two-photon calcium imaging with Cal-520 (Fig. 2a–c). Administration of 0.5% SAH-CSF produced a marked increase in fluorescence intensity compared with 0.5% HC-CSF treatment (Fig. 2d and Supplementary Movies S4S6). This robust elevation in fluorescence intensity indicates that SAH-CSF rapidly and strongly activates neocortical neurons, elevating excitability and calcium dynamics in vivo. Collectively, these findings identify SAH-CSF as a potent, immediate stimulator of neuronal activity in both human and mouse neocortex.

Fig. 2. SAH-CSF increased population-wide neuronal activity in the neocortex of anesthetized mice.

Fig. 2

a Schematic of experimental setup. Images for b injection setup and c external (left) and internal (right) views of the cranial window. d Average fluorescence ratios in recording window (∆FHC or SAH/∆FaCSF). Data are presented as box-plots showing the median and IQR, with the whiskers denoting the minimum and maximum values. Statistical analysis was performed using Wilcoxon matched-pairs signed rank test, ***P  <  0.001. N = 29 cells from three mouse brains (one male and two females). HC hydrocephalus, SAH subarachnoid hemorrhage. 0.5% SAH: 5 ul SAH-CSF + 995 ul aCSF; 0.5% HC: 5 ul HC-CSF + 995 ul aCSF.

Neuronal excitability and synaptic transmission were robustly measured in human neocortical slices and distinct from mouse counterpart

To further investigate how SAH-CSF increased neuronal activity, we first established a platform for whole-cell patch-clamp recordings on human neocortical slices (Fig. 3a, d, g). Additionally, to differentiate between excitatory and inhibitory neurons, we conducted post hoc staining with the GABAergic inhibitory neuron marker, GAD67 (Fig. 3b, c) and assessed electrophysiological properties. The firing patterns of action potential differed between excitatory and inhibitory neurons, with excitatory neurons exhibiting firing rate adaptation beyond a stimulus of 120 pA (Fig. 3e, f, top). Detailed action potential parameters were provided for both excitatory (Fig. 3e, bottom) and inhibitory neurons (Fig. 3f, bottom). Notably, the firing rates of excitatory neurons in human neocortex were significantly higher compared with mouse counterparts (Supplementary Fig. S1a).

Fig. 3. Neuronal and synaptic properties were reliably measured in excitatory and inhibitory neurons of human neocortical slices.

Fig. 3

a, d, g Schematic illustration of whole-cell patch-clamp recordings performed on human neocortical slices. Representative images of excitatory neurons (b) and inhibitory neurons (c) from human neocortical slices. Excitatory and inhibitory neurons were distinguished via post hoc immunofluorescence staining using an anti-GAD67 antibody. Scale bar = 50 μm. Representative electrophysiological traces and corresponding quantification from excitatory (e) and inhibitory (f) neurons recorded in current-clamp mode. Scale bar = 50 μm. N = 9 excitatory neurons from nine slices of seven subjects; N = 25 inhibitory neurons from 25 slices of 13 subjects. Scale bar: 200 ms, 20 mV. Representative traces and quantitative data from excitatory (h) and inhibitory (i) neurons recorded in voltage-clamp mode. N = 9 excitatory neurons from nine slices of seven subjects; N = 9 inhibitory neurons from nine slices of nine subjects. Scale bar = 200 ms, 20 pA. Data are presented as means ± s.d. or as box-plots showing the median and IQR, with the whiskers indicating the minimum and maximum values. AP action potential, Rin input resistance.

Next, we recorded the frequency and amplitude of spontaneous excitatory postsynaptic currents (sEPSCs) from excitatory neurons (Fig. 3h) and inhibitory neurons (Fig. 3i). Interestingly, while the frequency of sEPSCs did not differ significantly, the amplitude of sEPSCs in human neocortical excitatory neurons was significantly higher compared with mouse counterparts (Supplementary Fig. S1b). In summary, we established a robust and reliable platform for measuring neuronal excitability and synaptic properties in human neocortical slices with cell-type-specific resolution.

SAH-CSF-induced changes in neuronal properties in human neocortical slices

With reliable whole-cell patch-clamp recordings established in human neocortical slices, we next investigated the effects of CSF from individuals with SAH. As controls, aCSF and CSF from individuals with HC were applied in the initial experimental conditions. Specifically, HC-CSF and aCSF were served as control and reference conditions respectively for the comparison. Subsequently, CSF from individuals with SAH was introduced, followed by a washout using aCSF (Fig. 4a, top; 4b). We observed that SAH-CSF significantly depolarized the neuronal membrane potential (Fig. 4c, d) and either elevated the firing rates (Fig. 4a(i)) or induced depolarization block (Fig. 4a(ii)) of action potentials in human neocortical slices. Importantly, the removal of SAH-CSF fully reversed these SAH-CSF-induced changes in neuronal properties (Fig. 4c, d). Moreover, we did not observe significant variation of SAH-CSF-induced changes in neuronal properties attributable to the collection days of post-SAH (Supplementary Fig. S2). In summary, our findings demonstrated that SAH-CSF depolarized neuronal membrane potential and altered action potential bursting in human neocortical slices.

Fig. 4. SAH-CSF depolarized membrane potentials and altered firing rates of action potentials in human neocortical slices.

Fig. 4

a Schematic diagram outlining the experimental design. Two representative trace types (i, ii) were shown for four different conditions: aCSF (artificial cerebrospinal fluid), HC (hydrocephalus), SAH (subarachnoid hemorrhage), and washout with aCSF. Scale bar: 50 ms, 20 mV. b Schematic illustration of whole-cell patch-clamp recordings performed on human neocortical slices. c Membrane potential recordings from neurons under the four conditions. d Absolute values representing the difference in membrane potential between paired conditions. N = 9 cells (n = 5 excitatory neurons from five slices of five subjects and 4 inhibitory neurons from four slices of four subjects). Statistical analysis was performed using one-way repeated measures ANOVA followed by Dunn’s or Holm-Sidak’s post hoc comparison. **P  <  0.01, ***P < 0.001. Data are presented as means. Gray lines connect data from the same cells under different conditions. Vm: membrane potential.

Glutamate receptor antagonists fully prevented SAH-CSF-induced changes in neuronal properties in human neocortical slices

Membrane potentials are predominantly determined by ion concentration gradients across the membrane, and disruptions in ion homeostasis can impair normal physiology and contribute to diseases3335. Since SAH-CSF induced membrane depolarization in human neocortical slices, we first examined whether changes in ion concentrations in the CSF of individuals with SAH might underlie this effect. We measured potassium, sodium, chloride, and calcium levels, but found no significant differences compared with the CSF from individuals with HC (Fig. 5a). To further examine whether SAH-CSF caused depolarization via disturbing ion homoeostasis, we calculated the Goldman-Hodgkin-Katz (GHK) equation. The GHK equation is a well-established approach for estimating the resting membrane potential, as it incorporates the relative permeabilities of multiple ionic species across the neuronal membrane36,37. Comparative analysis showed no statistically significant differences in equilibrium potentials between HC-CSF and SAH-CSF (Fig. 4b).

Fig. 5. Glutamate receptor antagonists fully prevent SAH-CSF-induced phenotypes in human neocortical slices.

Fig. 5

a Concentrations of potassium, sodium, chloride, and calcium in HC and SAH conditions. N = 4 for individuals with HC. N = 4 for individuals with SAH. Statistical analysis was performed using Mann–Whitney test, two-tailed. b Membrane potentials calculated using the Goldman–Hodgkin–Katz (GHK) equation for aCSF, HC, and SAH conditions. c Schematic illustration of experimental design. Representative traces (i, ii) were shown for four conditions: aCSF, HC, SAH, and washout with aCSF, with all conditions supplemented with glutamate receptor antagonists (kynurenic acid (KYNA), 5 mM). Scale bar: 50 ms, 20 mV. d Schematic of experimental setup of cell patching on human neocortical slices. e Membrane potential recordings from neurons under the four conditions. f Absolute values representing the difference in membrane potential between two assigned conditions. N = 6 cells (n = 1 excitatory neuron from one slice of a single subject and 5 inhibitory neurons from five slices of two subjects). Data are presented as means ± s.d. Data are presented as means or as box-plots showing the median and IQR, with the whiskers denoting the minimum and maximum values. Gray lines connect data from the same cells under different conditions. Vm membrane potential.

Previous studies have reported elevated glutamate levels as a key metabolite in the CSF of individuals with SAH38,39. To investigate the role of glutamate in SAH-CSF-induced changes in neuronal properties, we applied kynurenic acid (KYNA), a broad-spectrum glutamate receptor antagonist, to SAH-CSF-treated human neocortical slices (Fig. 5c, top; 5d). As controls, aCSF and CSF from individuals with HC, both supplemented with KYNA, were used in the initial experimental conditions. We found that the addition of 5 mM KYNA fully prevented the SAH-CSF-induced neuronal alterations (Fig. 5c(i), (ii), e, f). These findings suggest that SAH modifies neuronal properties primarily through the activation of glutamate receptors in human neocortical slices.

Discussion

The direct and acute effects of SAH are essential for understanding the mechanisms underlying early brain injuries and developing novel therapeutic interventions. Utilizing live human brain tissues provides direct evidence and valuable insights into these effects. Through assessing both population-level neuronal activity and cell-type-specific excitability and synaptic properties in human neocortical slices, we found that SAH-CSF increased population-wide neuronal activity, depolarized membrane potentials, and either increased firing rates or induced depolarization block of action potentials. Notably, the removal of SAH-CSF reversed these SAH-CSF-induced neuronal changes. Additionally, the application of glutamate receptor antagonists completely prevented these changes.

Calcium channel blockers are the primary medications for individuals with SAH given its neuroprotective properties40. Although they do not directly influence early brain injury following SAH, they are administered because of their mild yet significant protective effect against delayed ischemia, likely through partial antagonism of spreading depolarization-induced spreading ischemia4143. Interestingly, our findings showed that applying glutamate receptor antagonists fully prevented the SAH-CSF-induced neuronal phenotypes. It would be valuable to further investigate whether NMDA receptor antagonists or AMPA receptor antagonists play a more significant role in mitigating brain injuries in rodent models of SAH. Notably, a previous study found that memantine, an NMDA receptor antagonist, alleviated neuronal injuries and improved neurological outcomes in a rodent model of SAH16. Similarly, NP10679, a GluN2B-selective NMDA receptor inhibitor, rescued neurological deficits in a rodent model of SAH15. Moreover, s-ketamine reduced the incidence of spreading depolarization in individuals with SAH44. Together, these findings align with our results and underscore the therapeutic potential of targeting glutamate receptors in the treatment of SAH. Finally, ongoing clinical trials investigating NP10679 and ketamine warrant future attention and follow-up, despite previous clinical trials on NMDA receptor antagonists yielding discouraging results45.

Two-photon calcium imaging revealed a peak in population-level neuronal activity 15 min after SAH-CSF application in human neocortical slices, followed by a mild decrease at 30 min (Fig. 1f, g). This mild reduction in activity may be attributed to glutamate reuptake by neighboring glia cells. Future studies could test this hypothesis by applying glutamate reuptake inhibitors to evaluate their effect on neuronal activity under SAH conditions.

CSD was first observed in rodent models of SAH46 and was later detected in individuals with SAH5,47. Moreover, CSD is strongly associated with increased early and delayed tissue injury and poorer clinical outcomes in individuals with SAH47,48. Our findings demonstrate that SAH-CSF induces membrane potential depolarization, providing direct evidence to support this association. Furthermore, glutamate receptor antagonists completely prevented SAH-CSF-induced neuronal changes, suggesting their potential as an intervention for CSD.

One critical consequence of SAH is the disruption of blood-brain barriers (BBB)4952. BBB breakdown following SAH permits the extravasation of blood-derived components and changes in the composition of CSF including glutamate, potassium, hemoglobin, degradation products, and proinflammatory cytokines. These bioactive substances can modulate neuronal membrane properties, disturb astrocytic buffering, and impair inhibitory transmission, collectively leading to membrane depolarization and a lowering of seizure threshold. Our work extended previous findings and demonstrated that SAH-CSF directly and acutely depolarized membrane potential and either increased firing rates or induced depolarization block of action potentials in human neocortical slices in the absence of structural injuries. Additionally, observed SAH-CSF-induced neuronal phenotypes can be prevented from glutamate receptor antagonists. It would be of future interest to explore the impacts of other changed components of SAH-CSF on SAH-CSF-induced neuronal phenotypes.

Elevated extracellular potassium levels have been associated with poor outcomes in individuals with SAH53,54, yet some studies have reported lower potassium concentrations in SAH-CSF compared with controls5557. In our study, we did not detect the differences in potassium levels between SAH-CSF and HC-CSF, possibly due to the limited sample size. That was one reason we focused on glutamate, a consistently elevated component of SAH-CSF, as a likely driver of the observed neuronal effects. It is also important to note that the extracellular potassium concentration within the clot on the brain surface is likely more relevant to the underlying cortical tissue than the potassium concentration in the CSF, which does not directly contact the cortex because it is covered by the clot58. Indeed, the numerous cortical lesions following SAH typically occur at sites where clots lie directly on the cortical surface59. Although investigating the direct effects of the clots on cortical tissue would be of greater physiological relevance than studying CSF alone, suitable experimental tools are still needed to address this question.

A comprehensive analysis of amino acid levels in SAH-CSF found that glutamate and other amino acids remained elevated at days 0–3, 5, and 10 post-SAH compared with controls38. In our study, SAH-CSF was collected between days 1 and 6 post-SAH, a window that overlaps with this sustained glutamate elevation. We did not detect a clear influence of collection day on neuronal depolarization, but future studies could examine whether CSF collected at later time points produces reduced effects.

Several previous studies have demonstrated the feasibility of long-term cultures of human brain tissues60,61. This opens up the possibility of manipulating neuronal circuits using optogenetic or chemogenetic approaches via adeno-associated viruses, as well as labelling specific cell types in the brain. Future studies could explore how SAH-CSF impacts neuronal circuits with a more detailed cell-type and pathway resolution in human neocortical slices.

In conclusion, our study highlights the direct and acute effects of SAH on human neocortical slices. Furthermore, our findings suggest that glutamate receptor antagonists may represent a promising acute therapeutic strategy for individuals affected by SAH.

Methods

Human brain tissue

Neocortex specimens were collected from patients undergoing brain tumor excision and have been described previously62. The neocortex was easily distinguished based on its morphology (Fig. 1a, right), and neocortical tissue adjacent to the tumors was used for subsequent experiments. Histochemistry analysis showed that brain tumor samples, such as glioblastoma, were enriched with astrocytes (GFAP-positive cells) but lacked neurons (NeuN-positive cells) (Fig. 1b, left). In contrast, adjacent neocortical samples were rich in neurons with minimal presence of astrocytes (Fig. 1b, right)63,64. Detailed subject information is provided in Supplementary Table S1. The neocortical slices used in this study were obtained from a human population with a mean age of 60.24 years (SD = 13.43) and a sex distribution of 12 females and 9 males. All experimental protocols were approved by the Institutional Review Board (IRB) of National Taiwan University Hospital (IRB numbers: 202302097RIN) and conducted in accordance with the approved guidelines. Written informed consent was obtained from all participants.

Collection of human cerebrospinal fluid (CSF)

The collection method for human CSF has been previously described26,27,65. Intrathecal CSF from individuals with SAH was obtained via lumbar puncture from the first to sixth day post-SAH. Detailed information was provided in Supplementary Table S2. The SAH-CSF used in this study was collected from a human population with a mean age of 61.57 years (SD = 11.09) and a sex distribution of 3 females and 4 males. For individuals with HC, CSF was collected during surgery through a ventricular catheter. The HC-CSF used in this study was obtained from a human population with a mean age of 74.44 years (SD = 6.54) and a sex distribution of 2 females and 7 males. All CSF samples were immediately centrifuged at 900 × g at 4 °C for 20 min to remove impurities including red blood cells. The supernatants were then divided into appropriate aliquots and rapidly frozen at –80 °C within 30 min of collection. Written informed consent was obtained from all participants or their legal representatives. All experimental protocols were reviewed and approved by the IRB of National Taiwan University Hospital (IRB numbers: 201301042RINB and 202112146RINA) and conducted in accordance with the approved guidelines.

Mice

C57BL/6J mice (Jackson Laboratories; stock no. 000664) were group-housed in ventilated cages with ad libitum access to food (PicoLab® Rodent Diet 20, 5053) and water. Mice were maintained on a 12-h light/dark cycle (lights off at 8:00 pm). Mice used for electrophysiological recordings ranged from postnatal day 21–65, whereas those used for two-photon calcium imaging ranged from postnatal day 120–180. Electrophysiological recordings were conducted in the medial prefrontal cortex. Both male and female mice were utilized in the experiments. All procedures were approved by the Institutional Animal Care and Use Committee (IACUC) of National Taiwan University College of Medicine and the College of Public Health (IACUC No. 20220343, 20230047, and 20250068). The animal facility is accredited by AAALAC, and all experiments were conducted in accordance with approved guidelines.

Neocortical slice preparation

The methods for brain slice preparation have been previously described63,6669. Human neocortex was obtained via neurosurgical resection and immediately chilled in ice-cold dissection buffer containing (in mM): 87 NaCl, 2.5 KCl, 0.5 CaCl2, 7 MgCl2, 1.25 NaH2PO4, 25 NaHCO3, 75 sucrose, 10 glucose and 1.3 ascorbic acid, oxygenated with 95% O2 and 5% CO2 (pH, 7.4; 300 mOsmol). Cortical slices (300 μm thick) were prepared in dissection buffer using a vibroslicer (VT 1200 S, Leica). Prior to recording, slices were incubated for 30 min at 30 °C in artificial cerebrospinal fluid (aCSF) consisting (in mM): 124 NaCl, 3 KCl, 2 CaCl2, 1 MgCl2, 1.25 NaH2PO4, 26 NaHCO3 and 20 glucose, oxygenated with 95% O2 and 5% CO2 (pH, 7.4; 295 mOsmol). Mouse coronal neocortical slices were prepared following the same protocol as for human tissues.

Two-photon calcium imaging on human neocortical slices

Two-photon calcium imaging was performed using a two-photon microscope (MESOR01, mesoView) equipped with a water-immersion objective lens (Xlumplfln20xw, Olympus). Images were acquired at 1024 × 1024 pixels with a frame rate of 7.61 Hz, and a standard field of view of 0.5 mm × 0.5 mm. Data acquisition was controlled using mesoSoft + software (mesoView). Calcium imaging was facilitated by a Coherent Axon 920-1 TPC laser set to 920 nm with excitation power maintained at 60 mW under the objective to ensure consistent results without photobleaching. For the dye preparation, Cal-520®, AM (ab171868, Abcam) was dissolved in dimethyl sulfoxide (DMSO) to create a 20 mM stock solution, then diluted in aCSF to a final concentration of 6 mM. The dye solution was incubated at 37 °C for one hour, followed by a solution refresh with new aCSF. Before imaging, samples underwent a 15-min dark adaptation period at room temperature. Calcium imaging experiments commenced immediately afterward.

Calcium image processing on human neocortical slices

Calcium imaging data were first concatenated using ImageJ software (https://imagej.nih.gov/ij/download.html). The concatenated videos were then processed using Inscopix Data Processing Software (IDPS, Inscopix). Pre-processing steps included motion correction and temporal down-sampling by a factor of second. Following pre-processing, candidate cells were identified and subjected to spatial filtering and temporal activity trace extraction. Individual neurons were manually identified and extracted based on their average Ca2+ transient waveforms and activity traces. The extracted data were normalized by calculating z-scores, where the mean activity of the entire recording was subtracted from each activity trace, and the result was divided by the standard deviation of each cell’s activity during the recording period. Neurons displaying activity peaks ≥ 3 standard deviations above baseline were classified as active.

Two-photon calcium imaging and image analysis in anesthetized mice

In vivo calcium imaging was performed in adult C57BL/6J mice with both genders (4–6 months old). Under aseptic conditions, mice were anesthetized with isoflurane (4–5% for induction, 1–3% for maintenance). A 2 × 2 mm cranial window was created over the neocortical area using a high-speed drill, and the dura mater was carefully removed to expose the neocortex. Cal-520® AM (ab171868, Abcam) was prepared at a final concentration of 500 μM by dissolving the dye in DMSO and diluting with aCSF. The dye solution was slowly injected into the subcortical region at a depth of 0.5 mm using the multicell bolus loading technique with a 27-gauge needle. Imaging began 1.5 h after dye loading to allow sufficient diffusion and cellular uptake.

For calcium imaging, anesthesia was maintained with 0.5% isoflurane combined with carbogen gas, and a 3-min baseline fluorescence recording was obtained using aCSF perfusion. This was followed by administration of 0.5% HC-CSF for 5 min and a subsequent 3-min fluorescence recording. The cranial window adaptor was then rinsed with 2 ml aCSF before administration of 0.5% SAH-CSF for 5 min, followed again by a 3-min fluorescence recording. Fluorescence intensities were baseline-corrected and normalized to compare changes between treatments. Animals were euthanized after completion of the experimental protocol.

Whole-cell recordings

The methods for patch-clamp recordings have been previously described63,6670. For current-clamp recordings, aCSF was not supplemented with any synaptic blocker. The internal solution contained (in mM): 100 K-gluconate, 20 KCl, 0.2 EGTA, 10 HEPES, 4 ATP-Mg, 0.3 GTP-Na, and 0.025 Alexa FluorTM 594 Hydrazide (A10438, Thermo Fisher Scientific) (pH 7.2, 295 mOsmol). For voltage-clamp recordings, the internal solution consisted of (in mM): 100 CsCH3SO3, 15 CsCl, 2.5 MgCl2, 10 HEPES, 5 QX-314∙Cl (L1663, Sigma), 5 BAPTA-TetraCs, 4 ATP-Mg, 0.3 GTP-Na, and 0.025 Alexa FluorTM 594 Hydrazide (A10438, Thermo Fisher Scientific)(pH 7.2, 295 mOsmol). To isolate spontaneous EPSCs (sEPSCs), 5 μM SR95531, and 1 μM strychnine were added to the aCSF and applied via a perfusion valve system (VC-8 valve controller, Warner Instruments, Hamden, CT, USA). To distinguish excitatory and inhibitory neurons, post hoc immunofluorescence staining with an anti-GAD67 antibody (1:500, MAB5406, Millipore) and analysis of action potential firing patterns were performed. The detailed staining protocols for anti-NeuN (1:500, MAB377, Millipore), -GFAP (1:500, G3893, Sigma), and -GAD67 antibodies have been described previously63,64.

Cerebrospinal fluid (CSF) ion concentration analysis and the Goldman–Hodgkin–Katz (GHK) equation calculation

A 10 μl CSF sample was used to measure ion concentrations. The analysis was performed using the FUJI DRI-CHEM SLIDE chip Na-K-Cl/Ca in an automatic dry-chemistry analyzer (DRI-CHEM NX500i, Fujifilm), following the manufacturer’s instructions.

The GHK equation can be given by Eq. (1). For its calculation, we set the permeabilities of potassium (K⁺), sodium (Na⁺), and chloride (Cl⁻) ions in resting neurons were to 1.00, 0.05, and 0.45, respectively71.

Vm=RTFlnpKK+o+pNaNa+o+pClClipKK+i+pNaNa+i+pClClo 1

Statistical analysis

Data are presented as means ± s.d. or as box-plots showing the median and interquartile range (IQR), with the whiskers denoting the minimum and maximum values. Sample sizes (n) are shown in the figures or specified in the text. Statistical analyses were conducted using SigmaPlot 13 (Systat Software). Normality was assessed using Shapiro-Wilk test, and equal variance tests were performed. Parametric tests were used when both normality and equal variance assumptions were met (P > 0.05). If either assumption was violated (P < 0.05), non-parametric tests were applied.

Reporting summary

Further information on research design is available in the Nature Portfolio Reporting Summary linked to this article.

Supplementary information

Supplementary information (423.6KB, pdf)
42003_2025_9172_MOESM2_ESM.pdf (74.4KB, pdf)

Description of Additional Supplementary Files

Supplementary Data S1 (61KB, xlsx)
Supplementary Movie S2 (3.1MB, mp4)
Supplementary Movie S3 (6.6MB, mp4)
Supplementary Movie S4 (4.5MB, mp4)
Supplementary Movie S5 (4.4MB, mp4)
Supplementary Movie S6 (6.1MB, mp4)
Reporting summary (1.3MB, pdf)

Acknowledgements

This work was funded by the National Science and Technology Council, Taiwan (MOST 111-2314-B-002-256-MY2 and MOST 112-2314-B-002-108-MY3 to H.-S.H.; NSTC 112-2321-B-002-019, NSTC-113-2321-B-002-028 and NSTC-114-2321-B-002-026 to C.-K.S.) and the National Health Research Institutes, Miaoli, Taiwan (Innovative Research Grant, NHRI-EX114-11406NI to H.-S.H.). We thank the technical team from TRIAD LIGHT INNOVATION for their assistance with two-photon imaging using their HMM card.

Author contributions

H.-S.H. designed the experiments, wrote the manuscript, and supervised the studies. All authors reviewed, edited, and approved the manuscript. D.-F.H. carried out whole-cell patching in human samples. M.-Y.C. performed two-photon calcium imaging. Y.-H.L. conducted whole-cell patching in mouse samples. Y.-T.C. carried out ion concentration measurement. C.-K.S. provided partial grant support and technical help. K.-C.W. provided human neocortical slices, and cerebrospinal fluids from subjects with subarachnoid hemorrhage or hydrocephalus.

Peer review

Peer review information

Communications Biology thanks the anonymous reviewers for their contribution to the peer review of this work. Primary Handling Editors: Mary Teena Joy and Benjamin Bessieres.

Data availability

All raw data and statistical analysis results were provided in Supplementary Data S1.

Competing interests

The authors declare no competing interests.

Footnotes

Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

These authors contributed equally: De-Fong Huang, Ming-Yi Chou.

Contributor Information

Kuo-Chuan Wang, Email: wang081466@yahoo.com.tw.

Hsien-Sung Huang, Email: huang.hsiensung@gmail.com.

Supplementary information

The online version contains supplementary material available at 10.1038/s42003-025-09172-8.

References

  • 1.Wyckoff, S. & Hsiang-Yi Chou, S. High-Grade Subarachnoid Hemorrhage - Beyond Guidelines. Neurol. Clin.43, 107–126 (2025). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Sagues, E., Gudino, A., Dier, C., Aamot, C. & Samaniego, E. A. Outcomes Measures in Subarachnoid Hemorrhage Research. Transl. Stroke Res.16, 25–36 (2025). [DOI] [PubMed]
  • 3.Lanzino, G. & Rabinstein, A. A. Advances and Future Trends in the Diagnosis and Management of Subarachnoid Hemorrhage. Neurol. Clin.42, 705–716 (2024). [DOI] [PubMed] [Google Scholar]
  • 4.Hartings, J. A. et al. Subarachnoid blood acutely induces spreading depolarizations and early cortical infarction. Brain140, 2673–2690 (2017). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Dreier, J. P. et al. Delayed ischaemic neurological deficits after subarachnoid haemorrhage are associated with clusters of spreading depolarizations. Brain129, 3224–3237 (2006). [DOI] [PubMed] [Google Scholar]
  • 6.Luckl, J. et al. The negative ultraslow potential, electrophysiological correlate of infarction in the human cortex. Brain141, 1734–1752 (2018). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Dohmen, C. et al. Spreading depolarizations occur in human ischemic stroke with high incidence. Ann. Neurol.63, 720–728 (2008). [DOI] [PubMed] [Google Scholar]
  • 8.Woitzik, J. et al. Propagation of cortical spreading depolarization in the human cortex after malignant stroke. Neurology80, 1095–1102 (2013). [DOI] [PubMed] [Google Scholar]
  • 9.Winkler, M. K. et al. Impaired neurovascular coupling to ictal epileptic activity and spreading depolarization in a patient with subarachnoid hemorrhage: possible link to blood-brain barrier dysfunction. Epilepsia53, 22–30 (2012). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Fabricius, M. et al. Association of seizures with cortical spreading depression and peri-infarct depolarisations in the acutely injured human brain. Clin. Neurophysiol.119, 1973–1984 (2008). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Overstijns, M. et al. Clinical severity of aneurysmal subarachnoid hemorrhage over time: systematic review. Neurosurg. Rev.47, 257 (2024). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Yang, B. S. K., Blackburn, S. L., Lorenzi, P. L., Choi, H. A. & Gusdon, A. M. Metabolomic and lipidomic pathways in aneurysmal subarachnoid hemorrhage. Neurotherapeutics22, e00504 (2025). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Dreier, J. P. et al. All Three Supersystems-Nervous, Vascular, and Immune-Contribute to the Cortical Infarcts After Subarachnoid Hemorrhage. Transl. Stroke Res.16, 96–118 (2025). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Lauzier, D. C. & Athiraman, U. Role of microglia after subarachnoid hemorrhage. J. Cereb. Blood Flow. Metab.44, 841–856 (2024). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Wang, H. et al. Clinical development of the GluN2B-selective NMDA receptor inhibitor NP10679 for the treatment of neurologic deficit after subarachnoid hemorrhage. J. Pharm. Exp. Ther.392, 100046 (2025). [DOI] [PubMed] [Google Scholar]
  • 16.Huang, C. Y. et al. Memantine alleviates brain injury and neurobehavioral deficits after experimental subarachnoid hemorrhage. Mol. Neurobiol.51, 1038–1052 (2015). [DOI] [PubMed] [Google Scholar]
  • 17.He, P. et al. Dental Pulp Stem Cells Attenuate Early Brain Injury After Subarachnoid Hemorrhage via miR-26a-5p/PTEN/AKT Pathway. Neurochem. Res.50, 91 (2025). [DOI] [PubMed] [Google Scholar]
  • 18.Hou, Y., Zhang, L., Ma, W. & Jiang, Y. NGR1 reduces neuronal apoptosis through regulation of ITGA11 following subarachnoid hemorrhage. Mol. Med. Rep.31, 67 (2025). [DOI] [PMC free article] [PubMed]
  • 19.Yao, Y. et al. Bindarit attenuates neuroinflammation after subarachnoid hemorrhage by regulating the CCL2/CCR2/NF-kappaB pathway. Brain Res. Bull.220, 111183 (2025). [DOI] [PubMed] [Google Scholar]
  • 20.Mao, J. et al. Microglia-derived ADAM9 promote GHRH neurons pyroptosis by Mad2L2-JNK-caspase-1 pathway in subarachnoid hemorrhage. J. Neuroinflammation21, 302 (2024). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Diwan, D. et al. Development and Validation of a Prechiasmatic Mouse Model of Subarachnoid Hemorrhage to Measure Long-Term Cognitive Deficits. Adv. Sci.11, e2403977 (2024). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Uchikawa, H. & Rahmani, R. Animal Models of Intracranial Aneurysms: History, Advances, and Future Perspectives. Transl. Stroke Res.16, 37–48 (2025). [DOI] [PubMed] [Google Scholar]
  • 23.Tian, Q. et al. ATF2/BAP1 Axis Mediates Neuronal Apoptosis After Subarachnoid Hemorrhage via P53 Pathway. Stroke55, 2113–2125 (2024). [DOI] [PubMed] [Google Scholar]
  • 24.Wang, X. et al. Single-Cell Transcriptomics Revealed White Matter Repair Following Subarachnoid Hemorrhage. Transl. Stroke Res.16, 800–816 (2025). [DOI] [PubMed]
  • 25.Guo, P. et al. TIMP-3 Alleviates White Matter Injury After Subarachnoid Hemorrhage in Mice by Promoting Oligodendrocyte Precursor Cell Maturation. Cell Mol. Neurobiol.44, 33 (2024). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Wang, K. C. et al. Impaired microcirculation after subarachnoid hemorrhage in an in vivo animal model. Sci. Rep.8, 13315 (2018). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Yang, L. Y. et al. Recombinant soluble form of receptor for advanced glycation end products ameliorates microcirculation impairment and neuroinflammation after subarachnoid hemorrhage. Neurotherapeutics21, e00312 (2024). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Andrews, J. P. et al. Multimodal evaluation of network activity and optogenetic interventions in human hippocampal slices. Nat. Neurosci.27, 2487–2499 (2024). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Howard, D. et al. An in vitro whole-cell electrophysiology dataset of human cortical neurons. Gigascience11, giac108 (2022). [DOI] [PMC free article] [PubMed]
  • 30.Barzo, P. et al. Electrophysiology and Morphology of Human Cortical Supragranular Pyramidal Cells in a Wide Age Range. bioRxiv 2024.06.13.598792 (2025). [DOI] [PMC free article] [PubMed]
  • 31.Wickham, J. et al. Human Cerebrospinal Fluid Induces Neuronal Excitability Changes in Resected Human Neocortical and Hippocampal Brain Slices. Front Neurosci.14, 283 (2020). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Bjorefeldt, A. et al. Human cerebrospinal fluid increases the excitability of pyramidal neurons in the in vitro brain slice. J. Physiol.593, 231–243 (2015). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Hodgkin, A. L. & Huxley, A. F. A quantitative description of membrane current and its application to conduction and excitation in nerve. J. Physiol.117, 500–544 (1952). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Raimondo, J. V., Burman, R. J., Katz, A. A. & Akerman, C. J. Ion dynamics during seizures. Front. Cell Neurosci.9, 419 (2015). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Watanabe, M. & Fukuda, A. Development and regulation of chloride homeostasis in the central nervous system. Front. Cell Neurosci.9, 371 (2015). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Alvarez, O. & Latorre, R. The enduring legacy of the “constant-field equation” in membrane ion transport. J. Gen. Physiol.149, 911–920 (2017). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Goldman, D. E. Potential, Impedance, and Rectification in Membranes. J. Gen. Physiol.27, 37–60 (1943). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Sokol, B. et al. Amino Acids in Cerebrospinal Fluid of Patients with Aneurysmal Subarachnoid Haemorrhage: An Observational Study. Front. Neurol.8, 438 (2017). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Ho, W. M., Schmidt, F. A., Thome, C. & Petr, O. CSF metabolomics alterations after aneurysmal subarachnoid hemorrhage: what do we know? Acta Neurol. Belg.123, 2111–2114 (2023). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Daou, B. J., Koduri, S., Thompson, B. G., Chaudhary, N. & Pandey, A. S. Clinical and experimental aspects of aneurysmal subarachnoid hemorrhage. CNS Neurosci. Ther.25, 1096–1112 (2019). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Dreier, J. P. The role of spreading depression, spreading depolarization and spreading ischemia in neurological disease. Nat. Med.17, 439–447 (2011). [DOI] [PubMed] [Google Scholar]
  • 42.Feigin, V. L., Rinkel, G. J., Algra, A., Vermeulen, M. & van Gijn, J. Calcium antagonists in patients with aneurysmal subarachnoid hemorrhage: a systematic review. Neurology50, 876–883 (1998). [DOI] [PubMed] [Google Scholar]
  • 43.Dreier, J. P. et al. Nitric oxide scavenging by hemoglobin or nitric oxide synthase inhibition by N-nitro-L-arginine induces cortical spreading ischemia when K+ is increased in the subarachnoid space. J. Cereb. Blood Flow. Metab.18, 978–990 (1998). [DOI] [PubMed] [Google Scholar]
  • 44.Santos, E. et al. Lasting s-ketamine block of spreading depolarizations in subarachnoid hemorrhage: a retrospective cohort study. Crit. Care23, 427 (2019). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45.Ikonomidou, C. & Turski, L. Why did NMDA receptor antagonists fail clinical trials for stroke and traumatic brain injury? Lancet Neurol.1, 383–386 (2002). [DOI] [PubMed] [Google Scholar]
  • 46.Hubschmann, O. R. & Kornhauser, D. Cortical cellular response in acute subarachnoid hemorrhage. J. Neurosurg.52, 456–462 (1980). [DOI] [PubMed] [Google Scholar]
  • 47.Sugimoto, K. & Chung, D. Y. Spreading Depolarizations and Subarachnoid Hemorrhage. Neurotherapeutics17, 497–510 (2020). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48.Dreier, J. P. et al. Spreading depolarizations in ischaemia after subarachnoid haemorrhage, a diagnostic phase III study. Brain145, 1264–1284 (2022). [DOI] [PubMed] [Google Scholar]
  • 49.Lublinsky, S. et al. Early blood-brain barrier dysfunction predicts neurological outcome following aneurysmal subarachnoid hemorrhage. EBioMedicine43, 460–472 (2019). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50.Scholler, K. et al. Characterization of microvascular basal lamina damage and blood-brain barrier dysfunction following subarachnoid hemorrhage in rats. Brain Res.1142, 237–246 (2007). [DOI] [PubMed] [Google Scholar]
  • 51.Germano, A., d’Avella, D., Imperatore, C., Caruso, G. & Tomasello, F. Time-course of blood-brain barrier permeability changes after experimental subarachnoid haemorrhage. Acta Neurochir.142, 575–580 (2000). [DOI] [PubMed]
  • 52.Doczi, T. The pathogenetic and prognostic significance of blood-brain barrier damage at the acute stage of aneurysmal subarachnoid haemorrhage. Clinical and experimental studies. Acta Neurochir.77, 110–132 (1985). [DOI] [PubMed] [Google Scholar]
  • 53.Antunes, A. P. et al. Higher brain extracellular potassium is associated with brain metabolic distress and poor outcome after aneurysmal subarachnoid hemorrhage. Crit. Care18, R119 (2014). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54.Rogers, M. L. et al. Simultaneous monitoring of potassium, glucose and lactate during spreading depolarization in the injured human brain - Proof of principle of a novel real-time neurochemical analysis system, continuous online microdialysis. J. Cereb. Blood Flow. Metab.37, 1883–1895 (2017). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 55.Pesaresi, A. et al. Cerebrospinal fluid analysis and changes over time in patients with subarachnoid hemorrhage: a prospective observational study. J. Anesth. Analg. Crit. Care5, 31 (2025). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 56.von Holst, H. & Mathiesen, T. Electrolyte concentrations in serum and CSF following subarachnoid haemorrhage. Br. J. Neurosurg.4, 123–126 (1990). [DOI] [PubMed] [Google Scholar]
  • 57.Sambrook, M. A., Hutchinson, E. C. & Aber, G. M. Metabolic studies in subarachnoid haemorrhage and strokes. II. Serial changes in cerebrospinal fluid and plasma urea electrolytes and osmolality. Brain96, 191–202 (1973). [DOI] [PubMed] [Google Scholar]
  • 58.Ohta, O. et al. in Vascular Neuroeffector Mechanisms (ed Bevan, J. A.) 353–358 (Raven Press, 1983).
  • 59.Stoltenburg-Didinger, G. & Schwarz, K. in Stroke and Microcirculation (eds Cervós-Navarro, J. & Ferszt, R.) 471–480 (Raven Press, 1987).
  • 60.Schwarz, N. et al. Long-term adult human brain slice cultures as a model system to study human CNS circuitry and disease. Elife8, e48417 (2019). [DOI] [PMC free article] [PubMed]
  • 61.Bak, A. et al. Human organotypic brain slice cultures: a detailed and improved protocol for preparation and long-term maintenance. J. Neurosci. Methods404, 110055 (2024). [DOI] [PubMed] [Google Scholar]
  • 62.Borah, B. J. et al. Rapid digital pathology of H&E-stained fresh human brain specimens as an alternative to frozen biopsy. Commun. Med.3, 77 (2023). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 63.Wang, H. Y. et al. RBFOX3/NeuN is Required for Hippocampal Circuit Balance and Function. Sci. Rep.5, 17383 (2015). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 64.Lin, C. Y. et al. Analysis of Genome-Wide Monoallelic Expression Patterns in Three Major Cell Types of Mouse Visual Cortex Using Laser Capture Microdissection. PLoS One11, e0163663 (2016). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 65.Yang, L. Y. et al. Dental Pulp Stem Cell-Derived Conditioned Medium Alleviates Subarachnoid Hemorrhage-Induced Microcirculation Impairment by Promoting M2 Microglia Polarization and Reducing Astrocyte Swelling. Transl. Stroke Res.14, 688–703 (2023). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 66.Chou, M. Y. et al. Mouse hybrid genome mediates diverse brain phenotypes with the specificity of reciprocal crosses. FASEB J.36, e22232 (2022). [DOI] [PubMed] [Google Scholar]
  • 67.Huang, D. F. et al. Neuronal splicing regulator RBFOX3 mediates seizures via regulating Vamp1 expression preferentially in NPY-expressing GABAergic neurons. Proc. Natl Acad. Sci. USA119, e2203632119 (2022). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 68.Chou, M. Y. et al. RTL1/PEG11 imprinted in human and mouse brain mediates anxiety-like and social behaviors and regulates neuronal excitability in the locus coeruleus. Hum. Mol. Genet.31, 3161–3180 (2022). [DOI] [PMC free article] [PubMed]
  • 69.Chou, M. Y. et al. Mir125b-2 imprinted in human but not mouse brain regulates hippocampal function and circuit in mice. Commun. Biol.6, 267 (2023). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 70.Lin, Y. S. et al. Neuronal Splicing Regulator RBFOX3 (NeuN) Regulates Adult Hippocampal Neurogenesis and Synaptogenesis. PLoS One11, e0164164 (2016). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 71.Du, Y. et al. Dissipation of transmembrane potassium gradient is the main cause of cerebral ischemia-induced depolarization in astrocytes and neurons. Exp. Neurol.303, 1–11 (2018). [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Supplementary information (423.6KB, pdf)
42003_2025_9172_MOESM2_ESM.pdf (74.4KB, pdf)

Description of Additional Supplementary Files

Supplementary Data S1 (61KB, xlsx)
Supplementary Movie S2 (3.1MB, mp4)
Supplementary Movie S3 (6.6MB, mp4)
Supplementary Movie S4 (4.5MB, mp4)
Supplementary Movie S5 (4.4MB, mp4)
Supplementary Movie S6 (6.1MB, mp4)
Reporting summary (1.3MB, pdf)

Data Availability Statement

All raw data and statistical analysis results were provided in Supplementary Data S1.


Articles from Communications Biology are provided here courtesy of Nature Publishing Group

RESOURCES