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Type 2 diabetes (T2D) hampers recovery after stroke, but the underling mechanisms are mostly unknown. In a recently published study (Pintana et al. in Clin Sci (Lond) 133(13):1367-1386, 2019), we showed that impaired recovery in T2D was associated with persistent atrophy of parvalbumin+ interneurons in the damaged striatum. In the current work, which is an extension of the abovementioned study, we investigated whether somatostatin (SOM)+ interneurons are also affected by T2D during the stroke recovery phase. C57Bl/6j mice were fed with high-fat diet or standard diet (SD) for 12 months and subjected to 30-min transient middle cerebral artery occlusion (tMCAO). SOM+ cell number/density in the striatum was assessed by immunohistochemistry 2 and 6 weeks after tMCAO in peri-infarct and infarct areas. This was possible by establishing a computer-based quantification method that compensates the post-stroke tissue deformation and the irregular cell distribution. SOM+ interneurons largely survived the stroke as seen at 2 weeks. Remarkably, 6 weeks after stroke, the number of SOM+ interneurons increased (vs. contralateral striatum) in SD-fed mice in both peri-infarct and infarct areas. However, this increase did not result from neurogenesis. T2D completely abolished this effect specifically in the in the infarct area. The results suggest that the up-regulation of SOM expression in the post-stroke phase could be related to neurological recovery and T2D could inhibit this process. We also present a new and precise method for cell counting in the stroke-damaged striatum that allows to reveal accurate, area-related effects of stroke on cell number.
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http://dx.doi.org/10.1007/s10571-020-00874-7 | DOI Listing |
Cell Rep
August 2025
Université Claude Bernard Lyon 1, Institut National de la Santé et de la Recherche Médicale, Stem Cell and Brain Research Institute, U1208 Bron, France. Electronic address:
The causal roles of parvalbumin (PV)- and somatostatin (SOM)-positive interneurons in regulating cortical oscillations and stability remain unclear. We developed a biologically grounded microcircuit model composed of excitatory (E), PV, and SOM neurons that explains key experimental findings, including the precise phase locking of PV cells, delayed firing of SOM cells, and the distinct effects of optogenetic perturbations. By perturbing the spike timing of cells while preserving their firing rates, we show that network oscillations depend on the precise timing of both PV and SOM cells: PV cells regulate oscillation frequency and network stability, while SOM cells control oscillation amplitude.
View Article and Find Full Text PDFPLoS Comput Biol
August 2025
Department of Complex and Intelligent Systems, Future University Hakodate, Hakodate, Hokkaido, Japan.
Autism spectrum disorder (ASD) and schizophrenia are complex and heterogeneous mental disorders involving the dysfunction of multiple neural systems. The atypical and heterogenous temporal coordinations of neuronal activity, which are widely observed in these two disorders, are hypothesized to stem from an excitatory/inhibitory (E/I) imbalance in the brain. To investigate the association between the E/I imbalance and atypical neural activities, and to assess the influence of specific subtypes of inhibitory interneurons on network activity regulation, we developed a computational microcircuit model with biologically plausible layer 2/3 of visual cortex that combined excitatory pyramidal neurons with three subtypes of inhibitory interneurons (parvalbumin [PV], somatostatin [SOM], and vasoactive intestinal polypeptide [VIP]).
View Article and Find Full Text PDFCogn Neurodyn
December 2025
School of Mathematical Sciences, Ministry of Education-Key Laboratory of Scientific and Engineering Computing and Institute of Natural Sciences, Shanghai Jiao Tong University, Shanghai, 200240 Shanghai China.
Enhanced beta oscillations (12-25 Hz) within the cortico-basal ganglia-thalamic network are significantly associated with motor deficits and are a prominent characteristic of the neural dynamic pathology in Parkinson's disease. Although the striatum has been proposed as a promising origin for enhanced beta oscillations, the precise mechanism through which distinct striatal neurons collaborate to orchestrate beta oscillations remains elusive. This study constructs a biophysical neural network model of the striatum based on experimental constraints.
View Article and Find Full Text PDFbioRxiv
July 2025
Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD), Section on Cellular and Synaptic Physiology, National Institutes of Health (NIH), Bethesda, MD 20892 USA.
The mammalian dentate gyrus contributes to mnemonic function by parsing similar events and places. The disparate activity patterns of mossy cells and granule cells is believed to enable this function yet the mechanisms that drive this circuit dynamic remain elusive. We identified a novel inhibitory interneuron subtype, characterized by VGluT3 expression, with overwhelming target selectivity for mossy cells while also revealing that CCK, PV, SOM and VIP interneurons preferentially innervate granule cells.
View Article and Find Full Text PDFJ Physiol
August 2025
Department of Psychology and Neuroscience, Dalhousie University, Halifax, Nova Scotia, Canada.
Optogenetic tools have been used to investigate neural circuits in mouse primary visual cortex (V1), where channelrhodopsin-mediated activation (photostimulation) of inhibitory interneuron subtypes expressing parvalbumin (Pvalb+), somatostatin (SOM+) or vasoactive intestinal peptide (VIP+) can alter the responses of excitatory pyramidal neurons. Some studies have mentioned rebound spiking after this photostimulation, but no systematic analysis of these post-inhibitory rebound effects has yet been performed. Here, we characterized optogenetically mediated rebound effects in pyramidal cells and interneurons following Pvalb+, SOM+ or VIP+ photostimulation in isoflurane anaesthetized mice and investigated whether V1 network features such as activity and connectivity can affect rebound magnitude.
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