A computational study of suppression of sharp wave ripple complexes by controlling calcium and gap junctions in pyramidal cells

Muhammad Mushtaq, Rizwan ul Haq, Waqas Anwar, Lisa Marshall, Maxim Bazhenov, Kashif Zia, Hina Alam, Lars Hertel, Abdul Aleem Awan, Thomas Martinetz*

*Corresponding author for this work

Abstract

The hippocampus plays a key role in memory formation and learning. According to the concept of active systems memory consolidation, transiently stored memory traces are transferred from the hippocampus into the neocortex for permanent storage. This phenomenon relies on hippocampal network oscillations, particularly sharp wave ripples [SPW-Rs). In this process prior saved data in the hippocampus may be reactivated. Recent investigations reveal that several neurotransmitters and neuromodulators including norepinephrine, acetylcholine, serotonin, etc., suppress SPW-Rs activity in rodents’ hippocampal slices. This suppression of SPW-Rs may depend on various presynaptic and postsynaptic parameters including decrease in calcium influx, hyperpolarization/depolarization and alteration in gap junctions’ function in pyramidal cells. In this study, we demonstrate the impact of calcium influx and gap junctions on pyramidal cells for the modulation of SPW-Rs in a computational model of CA1. We used,SPW-Rs model with some modifications. SPW-Rs are simulated with gradual reduction of calcium and with decreasing conductance through gap junctions in PCs. Both, with calcium reduction as well as with conductance reduction through gap junctions, SPW-Rs are suppressed. Both effects add up synergistically in combination.

Original languageEnglish
JournalBioengineered
Volume12
Issue number1
Pages (from-to)2603-2615
Number of pages13
ISSN2165-5979
DOIs
Publication statusPublished - 12.2021

Research Areas and Centers

  • Academic Focus: Center for Brain, Behavior and Metabolism (CBBM)
  • Research Area: Intelligent Systems
  • Centers: Center for Artificial Intelligence Luebeck (ZKIL)

DFG Research Classification Scheme

  • 201-07 Bioinformatics and Theoretical Biology
  • Computational Neuroscience

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