Normal ripples, abnormal ripples, and fast ripples in a hippocampal model (Fink et al. 2015)


"...We use a computational model of hippocampus to investigate possible network mechanisms underpinning normal ripples, pathological ripples, and fast ripples. Our results unify several prior findings regarding HFO mechanisms, and also make several new predictions regarding abnormal HFOs. We show that HFOs are generic, emergent phenomena whose characteristics reflect a wide range of connectivity and network input. Although produced by different mechanisms, both normal and abnormal HFOs generate similar ripple frequencies, underscoring that peak frequency is unable to distinguish the two. Abnormal ripples are generic phenomena that arise when input to pyramidal cells overcomes network inhibition, resulting in high-frequency, uncoordinated firing. In addition, fast ripples transiently and sporadically arise from the precise conditions that produce abnormal ripples. Lastly, we show that such abnormal conditions do not require any specific network structure to produce coherent HFOs, as even completely asynchronous activity is capable of producing abnormal ripples and fast ripples in this manner. These results provide a generic, network-based explanation for the link between pathological ripples and fast ripples, and a unifying description for the entire spectrum from normal ripples to pathological fast ripples."

Model Type: Realistic Network

Region(s) or Organism(s): Hippocampus

Cell Type(s): Hippocampus CA1 pyramidal GLU cell; Hippocampus CA1 basket cell

Currents: I Na,t; I A; I K; I h

Receptors: GabaA; NMDA; Glutamate

Model Concept(s): Oscillations; Epilepsy

Simulation Environment: NEURON

Implementer(s): Fink, Christian G. [finkt at gonzaga.edu]; Gliske, Stephen [sgliske at umich.edu]; Stacey, William [wstacey at med.umich.edu]

References:

Fink CG, Gliske S, Catoni N, Stacey WC. (2015). Network Mechanisms Generating Abnormal and Normal Hippocampal High-Frequency Oscillations: A Computational Analysis. eNeuro. 2 [PubMed]


This website requires cookies and limited processing of your personal data in order to function. By continuing to browse or otherwise use this site, you are agreeing to this use. See our Privacy policy and how to cite and terms of use.