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Somatostatin-expressing interneurons (SST INT) are one of the types of GABAergic neurons in the brain. Inhibition through SST INT is a powerful potential mechanism for gain control in cortical networks, and it has been extensively investigated in studies on learning and memory mechanisms. Learning‑related intrinsic excitability changes of SST interneurons have been recognized in the hippocampus. The aim of the study was to analyze how associative learning influences on SST INT‑mediated inhibition in the somatosensory cortex of mice. Using a transgenic mouse line with channelrhodopsin expressed in SST cells, we studied SST INT-mediated inhibition onto excitatory neurons, whereas using a transgenic line with fluorescently labeled SST INT, we analyzed intrinsic excitability of SST neurons. The associative learning protocol consisted of whisker stimulation paired with a tail shock (classical conditioning). As control groups, we used naïve mice and mice subjected to stimulation of vibrissae and a tail shock given at random relative to whisker stroking (pseudoconditioning). After learning protocols, we prepared acute brain slices and performed whole-cell patch-clamp recordings in excitatory neurons or SST INT of layer IV in the cortical representation of the whiskers stimulated during learning. Our experiments show that the charge transfer of inhibitory postsynaptic currents evoked in excitatory cells in response to the optical stimulation of SST INT is larger in the conditioned group of mice in comparison to controls. Also, intrinsic excitability of layer IV SST interneurons increases after the conditioning paradigm. Presented data indicate that associative learning increases SST INT-mediated inhibition of excitatory neurons in the somatosensory cortex. The enhancement of this inhibition might rely on the increment of intrinsic excitability of SST cells. FINANCIAL SUPPORT: National Science Centre UMO‑2015/18/E/NZ4/00721 to J.U.C.`
INTRODUCTION: GABAergic (inhibitory) interneurons are critical for information processing in the brain during learning and memory and also undergo learning‑dependent plastic changes. However, the exact mechanisms of learning-evoked changes in the GABAergic system are not fully explored. Inhibitory interneurons constitute about twenty percent of all cortical neurons and are highly heterogeneous, creating functional classes based on their molecular, electrophysiological, and morphological features, as well as connectivity and patterns of activity. According to molecular markers, three main groups of interneurons were discovered in the neocortex: SST (somatostatin-), PV (parvalbumin-), and VIP (vasoactive intestinal polypeptide‑) expressing cells. AIM(S): The aim of the project was to study effects of associative learning on SST interneuron activity in the somatosensory cortex of mice. METHOD(S): Transgenic mice with fluorescently labeled SST interneurons were subjected to a conditioning procedure in which whisker stimulation was paired with a tail shock. As a control group, we used naïve mice and mice subjected to stimulation of vibrissae and a tail shock given at random relative to whisker stocking (pseudoconditioning). After learning, we prepared acute brain slices and performed whole-cell patch-clamp recordings in SST interneurons of layer IV in the cortical representation of the whiskers stimulated during the learning protocol. RESULTS: We found an increase in intrinsic excitability of SST interneurons after conditioning. Spontaneous activity of SST neurons as well as sEPSCs recorded in SST neurons were similar between groups. CONCLUSIONS: Our results suggest that the increase in SST intrinsic excitability is a common mechanism of plastic changes after learning. Literature data shows that learning increases intrinsic excitability of hippocampal SST interneurons. FINANCIAL SUPPORT: National Science Centre UMO‑2015/18/E/NZ4/00721 to J.U.C.
Changes in excitability of excitatory neurons, as well as strengthening of excitatory synapses, have been postulated to underlie learning and memory mecha‑ nisms. The GABAergic system is also plastic, however, the mechanisms of plasticity in inhibitory systems are poorly understood, especially considering the diverse nature of inhibitory interneurons. There are three main groups of inhibitory interneurons in the neocortex: so‑ matostatin (SOM)-, parvalbumin (PV)-, and vasoactive intestinal polypeptide (VIP)-expressing interneurons. The aim of our study is to analyse the effect of learning on the activity of SOM-expressing interneurons, which have been implicated in state-dependent modulation and experience-dependent plasticity, and with activity regulated by neuromodulators. In our experiments, we used a simple model of sensory learning, where mice were subjected to a conditioning paradigm ingthat con‑ sisted of pairing tactile stimulation of whiskers with an electrical tail shock. Previous studies have shown that this paradigm results in an expansion of the cortical rep‑ resentation of stimulated vibrissae and in an increase in GABAergic transmission. Here, using transgenic mice with SOM interneurons genetically tagged with red fluorescent marker, we performed in vitro whole-cell patch-clamp recordings in slices of naïve and trained mice. We analysed basic electrophysiological properties and excitability of SOM cells located in layer IV of the representation of the “trained” whiskers in the barrel cortex. In addition, spontaneous excitatory (sEPSCs) and inhibitory (sIPSCs) postsynaptic currents in SOM cells were recorded. In agreement with the literature, we found two main groups of SOM interneurons in lay‑ er 4: low-threshold spiking and irregular spiking. After the learning paradigm, the excitability of low-threshold spiking SOM interneurons increased. There were no dif‑ ferences in either the amplitude or the frequency of sEP‑ SCs (and IPSCs) in SOM cells between groups. These data indicate that sensory training results in a selective and long-lasting enhancement of SOM interneuron activity due to changes in their intrinsic excitability. Hence, this study builds upon a growing body of literature suggest‑ ing that increases in inhibition are a common and im‑ portant mechanism of learning and memory.
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