Somatostatin+/nNOS+ neurons are involved in delta electroencephalogram activity and cortical-dependent recognition memory

Zielinski, Mark R.; Atochin, Dmitriy N.; McNally, James M.; Mckenna, James T; Huang, Paul L.; Strecker, Robert E.; Gerashchenko, Dmitry

doi:10.1093/sleep/zsz143

Cited by 21 publications

(14 citation statements)

References 73 publications

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“…Interestingly, these amygdalar nNOS GABAergic neurons were activated during sleep, an effect that may be linked to their serotonergic receptor expression, as 5-HT application changed their tonic firing to bursting mode measured in acute slices (Bocchio et al, 2016 ). In line with the potential role for nNOS/SST GABAergic neurons in controlling sleep, a recent study has shown that deleting nNOS from cortical SST inhibitory cells led to changes in slow wave sleep as well as in recognition memory (Zielinski et al, 2019 ). No doubt, specific modulation of the function of nNOS/NPY/SST GABAergic neurons using an intersectional viral strategy is needed in the future to uncover their contribution to sleep and other cortical operations.…”

Section: Gabaergic Projection Neuronsmentioning

confidence: 91%

Interneuron Types and Their Circuits in the Basolateral Amygdala

Hájos

2021

Front. Neural Circuits

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The basolateral amygdala (BLA) is a cortical structure based on its cell types, connectivity features, and developmental characteristics. This part of the amygdala is considered to be the main entry site of processed and multisensory information delivered via cortical and thalamic afferents. Although GABAergic inhibitory cells in the BLA comprise only 20% of the entire neuronal population, they provide essential control over proper network operation. Previous studies have uncovered that GABAergic cells in the basolateral amygdala are as diverse as those present in other cortical regions, including the hippocampus and neocortex. To understand the role of inhibitory cells in various amygdala functions, we need to reveal the connectivity and input-output features of the different types of GABAergic cells. Here, I review the recent achievements in uncovering the diversity of GABAergic cells in the basolateral amygdala with a specific focus on the microcircuit organization of these inhibitory cells.

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Section: Gabaergic Projection Neuronsmentioning

confidence: 91%

Interneuron Types and Their Circuits in the Basolateral Amygdala

Hájos

2021

Front. Neural Circuits

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“…We also showed that optogenetically evoked responses in nNOS-positive cells of the cerebral cortex are consistent with their role in slow-wave sleep physiology ( Gerashchenko et al, 2018 ). Furthermore, mice lacking nNOS expression in SST positive neurons exhibited significant impairments in both homeostatic low delta frequency range SWA production and a recognition memory task that relies on cortical input ( Zielinski et al, 2019 ). Further studies will determine whether activation of nNOS/somatostatin neurons in the cerebral cortex is efficient in reducing AD pathology, and whether this effect is mediated by SWA enhancement.…”

Section: Restoring Slow Wave Sleep Is a Promising Therapy For Admentioning

confidence: 99%

Slow Wave Sleep Is a Promising Intervention Target for Alzheimer’s Disease

et al. 2020

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Alzheimer's disease (AD) is the major cause of dementia, characterized by the presence of amyloid-beta plaques and neurofibrillary tau tangles. Plaques and tangles are associated with sleep-wake cycle disruptions, including the disruptions in non-rapid eye movement (NREM) slow wave sleep (SWS). Alzheimer's patients spend less time in NREM sleep and exhibit decreased slow wave activity (SWA). Consistent with the critical role of SWS in memory consolidation, reduced SWA is associated with impaired memory consolidation in AD patients. The aberrant SWA can be modeled in transgenic mouse models of amyloidosis and tauopathy. Animal models exhibited slow wave impairments early in the disease progression, prior to the deposition of amyloid-beta plaques, however, in the presence of abundant oligomeric amyloid-beta. Optogenetic rescue of SWA successfully halted the amyloid accumulation and restored intraneuronal calcium levels in mice. On the other hand, optogenetic acceleration of slow wave frequency exacerbated amyloid deposition and disrupted neuronal calcium homeostasis. In this review, we summarize the evidence and the mechanisms underlying the existence of a positive feedback loop between amyloid/tau pathology and SWA disruptions that lead to further accumulations of amyloid and tau in AD. Moreover, since SWA disruptions occur prior to the plaque deposition, SWA disruptions may provide an early biomarker for AD. Finally, we propose that therapeutic targeting of SWA in AD might lead to an effective treatment for Alzheimer's patients.

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“…NREM, and particularly slow oscillations, have been implicated in the development of 43 cortical circuits, homeostatic regulation of network dynamics and memory consolidation [5][6][7][8][9][10] . 44 45 Neuronal nitric oxide (nNOS)-expressing neurons show elevated activity during sleep, as measured by the increased expression of the early gene cFos [11][12][13] , and may play a special role in controlling slow oscillations. Deep layer neurons of the cortex 3,4,14 , a variety of somato-dendritic 48 regenerative currents in cortical pyramidal cells and the excitatory recurrents among neurons have been postulated to be the source of stochastic metastability and persistent UP state activity 15 .…”

Section: Introductionmentioning

confidence: 99%

Sleep down state-active ID2/Nkx2.1 interneurons in the neocortex

et al. 2021

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Extended Data Fig. 2 Network property statistics of DSA interneurons (A) Statistical contrast matrices (two-sided Tukey's test) for firing rates of pyramidal cells (PYR), interneurons (INT) and DSA interneurons during waking quiescence (QWake), NREM sleep, REM sleep and active behavior (Walk). (B) Same layout and statistical comparisons as in A but for the average unit CCGs as a function of brain state. (C) Pearson correlations (tested using a Student's t distribution) between average CCG responses of NREM sleep, QWake, REM sleep and walking behavior for all groups. Note that spike vs population relationships are preserved across brain states. (D) Top: Average joint Z-score rate density between 10% of the interneurons (100 shufflings), 90% remaining interneurons and pyramidal cells neurons (left) and between 10% of the pyramidal cells (100 shufflings), interneurons and remaining pyramidal neurons. Bottom: Spearman correlation and statistical contrast matrices (two-sided Tukey's test) for interneuron and pyramidal neurons rate and Z-scored population for all shown joint histograms. (E) Average (mean ± IC95) partial correlation values of the Z-scored rate for all groups (blue for ρDSA,INT controlling for PYR; red for ρDSA,PYR controlling for INT; magenta for ρPYR,INT controlling for DSA), after truncating high firing rate units to match median the spikes number of pyramidal cells (average from n = 32 sessions, P < 10 -25 , F(2, 2787) = 57.42, repeated measures ANOVA). (F) Left: distribution of excitatory divergence in all groups. Only putative pyramidal units excited their postsynaptic target cells (incidence probability for all groups in top-inset; P < 10 -110 , χ 2 (2) = 504.24, χ 2 test). Right: distribution of excitatory convergence for all cell groups (P < 10 -67 , χ 2 (2) = 306.15, χ 2 test). DSA neurons have fewer excitatory connections than the interneurons group (P < 10 -4 , χ 2 (1) = 11.36, χ 2 test). ***P<0.001. Extended Data Fig. 3 Mechanisms of DSA neuron firing during DOWN states -model results (A) Spiking neural model containing 100 leaky DSA neurons receiving an asymmetric inhibitory/excitatory drive (top-left scheme). Bottom, UP/DOWN transitions with DOWN-selective firing DSA neurons (gray dots in the rastergram at the top). Top right, log firing rate distributions in the model corresponded to the those of the recorded neurons. (B) Peri-DOWN-state Z scored firing raster plot for all simulated principal cells (PYR, left) and

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Somatostatin+/nNOS+ neurons are involved in delta electroencephalogram activity and cortical-dependent recognition memory

Cited by 21 publications

References 73 publications

Interneuron Types and Their Circuits in the Basolateral Amygdala

Interneuron Types and Their Circuits in the Basolateral Amygdala

Slow Wave Sleep Is a Promising Intervention Target for Alzheimer’s Disease

Sleep down state-active ID2/Nkx2.1 interneurons in the neocortex

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