Dániel Schlingloff,Tamás F Freund,Balázs Hangya,Attila Gulyás
{"title":"Collapsing perisomatic inhibition leads to epileptic fast ripple oscillations caused by pseudosynchronous firing of CA3 pyramidal neurons.","authors":"Dániel Schlingloff,Tamás F Freund,Balázs Hangya,Attila Gulyás","doi":"10.1523/jneurosci.0500-25.2025","DOIUrl":null,"url":null,"abstract":"Diverse network oscillations, thought to represent different information processing modes of cortical networks, are accompanied by synchronous neuronal activity at various temporal scales. Sharp wave associated ripple oscillations, supporting memory consolidation in the hippocampus, are among the fastest physiological oscillations characterized by strong inter-neuronal synchrony. In contrast, when hippocampal activity turns epileptic, pathological fast-ripple oscillations appear. The distinction of the two oscillations is diagnostically relevant; however, how differential mechanisms of the same network generate the two activities is not well understood. Here we addressed this question using an in vitro hippocampal model that allowed targeted recording of cell types and local pharmacological manipulations in mice of either sex. We showed that inhibition did not contribute to current and rhythm generation of fast-ripples, unlike physiological ripple oscillations. Instead, pathological fast-ripples emerged when perisomatic inhibition from parvalbumin-expressing basket cells collapsed and depended on the quasi-simultaneous onset of stereotypical pyramidal cell (PC) bursts leading to pseudosynchrony. This was accompanied by a loss of spatial coherence. In epileptogenic conditions, deep CA3 PCs selectively ramped up their burst activity before fast-ripple onset, while normally non-bursting superficial PCs acquired burst capability. These results point to PC pseudosynchrony as the underlying mechanism of fast-ripples, with differential contribution of known PC types.Significance statement Sharp wave-ripple oscillations in the hippocampus support memory consolidation via coordinated inhibition-driven synchrony, whereas pathological fast-ripples mark epileptogenic activity. Using an in vitro hippocampal model in mice, we show that fast-ripples emerge from pseudo-synchronous bursting of pyramidal cells after perisomatic inhibition collapses. Deep pyramidal cells of the CA3 area of hippocampus ramp up bursting activity before fast-ripple onset, while normally non-bursting superficial cells fire bursts under epileptic conditions. In contrast to ripple oscillations, fast-ripples lack rhythmic inhibition and exhibit degraded spatial coherence. These findings reveal cell type-specific excitability changes and implicate local failure of inhibition and loss of coherence as mechanisms driving fast-ripple emergence.","PeriodicalId":50114,"journal":{"name":"Journal of Neuroscience","volume":"27 1","pages":""},"PeriodicalIF":4.0000,"publicationDate":"2025-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Neuroscience","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1523/jneurosci.0500-25.2025","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"NEUROSCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
Diverse network oscillations, thought to represent different information processing modes of cortical networks, are accompanied by synchronous neuronal activity at various temporal scales. Sharp wave associated ripple oscillations, supporting memory consolidation in the hippocampus, are among the fastest physiological oscillations characterized by strong inter-neuronal synchrony. In contrast, when hippocampal activity turns epileptic, pathological fast-ripple oscillations appear. The distinction of the two oscillations is diagnostically relevant; however, how differential mechanisms of the same network generate the two activities is not well understood. Here we addressed this question using an in vitro hippocampal model that allowed targeted recording of cell types and local pharmacological manipulations in mice of either sex. We showed that inhibition did not contribute to current and rhythm generation of fast-ripples, unlike physiological ripple oscillations. Instead, pathological fast-ripples emerged when perisomatic inhibition from parvalbumin-expressing basket cells collapsed and depended on the quasi-simultaneous onset of stereotypical pyramidal cell (PC) bursts leading to pseudosynchrony. This was accompanied by a loss of spatial coherence. In epileptogenic conditions, deep CA3 PCs selectively ramped up their burst activity before fast-ripple onset, while normally non-bursting superficial PCs acquired burst capability. These results point to PC pseudosynchrony as the underlying mechanism of fast-ripples, with differential contribution of known PC types.Significance statement Sharp wave-ripple oscillations in the hippocampus support memory consolidation via coordinated inhibition-driven synchrony, whereas pathological fast-ripples mark epileptogenic activity. Using an in vitro hippocampal model in mice, we show that fast-ripples emerge from pseudo-synchronous bursting of pyramidal cells after perisomatic inhibition collapses. Deep pyramidal cells of the CA3 area of hippocampus ramp up bursting activity before fast-ripple onset, while normally non-bursting superficial cells fire bursts under epileptic conditions. In contrast to ripple oscillations, fast-ripples lack rhythmic inhibition and exhibit degraded spatial coherence. These findings reveal cell type-specific excitability changes and implicate local failure of inhibition and loss of coherence as mechanisms driving fast-ripple emergence.
期刊介绍:
JNeurosci (ISSN 0270-6474) is an official journal of the Society for Neuroscience. It is published weekly by the Society, fifty weeks a year, one volume a year. JNeurosci publishes papers on a broad range of topics of general interest to those working on the nervous system. Authors now have an Open Choice option for their published articles