@article {ChenENEURO.0059-18.2018, author = {Lingxuan Chen and Takashi Saito and Takaomi C. Saido and Istvan Mody}, title = {Novel Quantitative Analyses of Spontaneous Synaptic Events in Cortical Pyramidal Cells Reveal Subtle Parvalbumin-Expressing Interneuron Dysfunction in a Knock-In Mouse Model of Alzheimer{\textquoteright}s Disease}, volume = {5}, number = {4}, elocation-id = {ENEURO.0059-18.2018}, year = {2018}, doi = {10.1523/ENEURO.0059-18.2018}, publisher = {Society for Neuroscience}, abstract = {Alzheimer{\textquoteright}s disease (AD) is a neurodegenerative disorder that has become a compelling global public health concern. Besides pathological hallmarks such as extracellular amyloid plaques, intracellular neurofibrillary tangles (NFTs), and loss of neurons and synapses, clinical reports have shown that epileptiform activity, even seizures, can occur early in the disease. Aberrant synaptic and network activities as well as epileptiform discharges have also been observed in various mouse models of AD. The new AppNL-F mouse model is generated by a gene knock-in approach and there are limited studies on basic synaptic properties in AppNL-F mice. Therefore, we applied quantitative methods to analyze spontaneous excitatory and inhibitory synaptic events in parietal cortex layer 2/3 pyramidal cells. First, by an objective amplitude distribution analysis, we found decreased amplitudes of spontaneous IPSCs (sIPSCs) in aged AppNL-F mice caused by a reduction in the amplitudes of the large sIPSCs with fast rates of rise, consistent with deficits in the function of parvalbumin-expressing interneurons (PV INs). Second, we calculated the burstiness and memory in a series of successive synaptic events. Lastly, by using a novel approach to determine the excitation-to-inhibition (E/I) ratio, we found no changes in the AppNL-F mice, indicating that homeostatic mechanisms may have maintained the overall balance of excitation and inhibition in spite of a mildly impaired PV IN function.}, URL = {https://www.eneuro.org/content/5/4/ENEURO.0059-18.2018}, eprint = {https://www.eneuro.org/content/5/4/ENEURO.0059-18.2018.full.pdf}, journal = {eNeuro} }