ArticleJournal of biomedical science2023
Structural changes in perineuronal nets and their perforating GABAergic synapses precede motor coordination recovery post stroke.
Article in Journal of biomedical science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 21 citations in OpenAlex.
- Microglia-mediated synaptic pruning in neural circuit remodeling: multidimensional control in homeostasis and neuropathology.BMC medicine · 2026Review
- Evolution of neutrophil extracellular traps in the pathology of stroke.Neural regeneration research · 2026Article
- The extracellular matrix as a dynamic regulator of brain function and plasticity.Neurobiology of disease · 2026Review
- Chondroitin Sulfate Proteoglycans in CNS Development and Pathophysiology.Journal of neuroscience research · 2026Review
- Criticality and increased intrinsic neural timescales in stroke.NPJ systems biology and applications · 2025Article
- Making tracks: microglia and the extracellular matrix.Molecular neurodegeneration · 2025Review
- Hyaluronidases as Targets for the Treatment of Neurological Diseases.Proteoglycan research · 2025Article
- Perineuronal nets in motor circuitry regulate the performance of learned vocalizations in songbirds.Communications biology · 2025Article
- Modified human mesenchymal stromal/stem cells restore cortical excitability after focal ischemic stroke in rats.Molecular therapy : the journal of the American Society of Gene Therapy · 2025Article
- Perineuronal Net Microscopy: From Brain Pathology to Artificial Intelligence.International journal of molecular sciences · 2024Review
- Editorial: 15 years of Frontiers in Cellular Neuroscience: super-resolution microscopy in the healthy and the injured brain.Frontiers in cellular neuroscience · 2024Article
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Authors and funding
8 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundStroke remains one of the leading causes of long-term disability worldwide, and the development of effective restorative therapies is hindered by an incomplete understanding of intrinsic brain recovery mechanisms. Growing evidence indicates that the brain extracellular matrix (ECM) has major implications for neuroplasticity. Here we explored how perineuronal nets (PNNs), the facet-like ECM layers surrounding fast-spiking interneurons, contribute to neurological recovery after focal cerebral ischemia in mice with and without induced stroke tolerance.
methodsWe investigated the structural remodeling of PNNs after stroke using 3D superresolution stimulated emission depletion (STED) and structured illumination (SR-SIM) microscopy. Superresolution imaging allowed for the precise reconstruction of PNN morphology using graphs, which are mathematical constructs designed for topological analysis. Focal cerebral ischemia was induced by transient occlusion of the middle cerebral artery (tMCAO). PNN-associated synapses and contacts with microglia/macrophages were quantified using high-resolution confocal microscopy.
resultsPNNs undergo transient structural changes after stroke allowing for the dynamic reorganization of GABAergic input to motor cortical L5 interneurons. The coherent remodeling of PNNs and their perforating inhibitory synapses precedes the recovery of motor coordination after stroke and depends on the severity of the ischemic injury. Morphological alterations in PNNs correlate with the increased surface of contact between activated microglia/macrophages and PNN-coated neurons.
conclusionsOur data indicate a novel mechanism of post stroke neuroplasticity involving the tripartite interaction between PNNs, synapses, and microglia/macrophages. We propose that prolonging PNN loosening during the post-acute period can extend the opening neuroplasticity window into the chronic stroke phase.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.