1. Richard GM Morris  Is a corresponding author
  1. University of Edinburgh, United Kingdom

It’s great when our memory of some past event, if challenged by someone else with a different memory of it, is vindicated. Often we will simply be pleased to be right, but in some cases (such as a court of law), being right will be a matter of some importance. It must also be pleasing if you are a scientist with a theory about memory that is vindicated after being challenged by other scientists. For over 20 years, Todd Sacktor of the State University of New York (SUNY) Downstate Medical Center has been building a theory about an enzyme that he believes to be at the heart of the molecular mechanism of long-term memory. Two papers published in 2013 led many researchers to doubt this proposal but now, in eLife, Sacktor reports the results of experiments that provide new evidence that supports his theory (Tsokas et al., 2016).

The issue in question centres on how permanent memories are formed in the brain. Francis Crick wrote about memory and molecular turnover, and John Lisman developed the idea of an auto-catalytic molecule that, after an initial trigger, self-replicated its active state in the absence of further input. It is generally agreed that memory involves strengthening the synapses that connect neurons in specific parts of the brain. Sacktor has argued that this strengthening may be mediated by a lasting increase in the level of an isoform of an enzyme called PKMζ (pronounced PKM zeta) that can be rendered inherently active.

Evidence in support of this notion comes from the fact that PKMζ is known to increase the strength of synapses and, moreover, to be produced by neurons during learning. Furthermore, using a drug called ZIP (short for zeta inhibitory peptide) that inhibits the action of PKMζ prevented the formation of long-term memories (Pastalkova et al., 2006), as did the use of genetic techniques to suppress the production of PKMζ (Shema et al, 2011).

Unfortunately, in 2013, independent groups at Johns Hopkins University (Volk et al., 2013) and UCSF (Lee et al., 2013) reported that mice in which the gene for PKMζ had been knocked out were still able to form long-term memories. Moreover, they showed that while ZIP did indeed abolish memory in wild-type mice, it also abolished memories in the knock-out mice. These papers were widely discussed in the neuroscience community, with the bar-room gossip being that they had demolished Sacktor’s theory, although some researchers sought to defend his position by wondering about “redundancy and degeneracy” in the nervous system (Frankland and Josselyn, 2013). Of course, gossip should be treated with caution, as new results from Sacktor, Andre Fenton of New York University and co-workers – including Panayiotis Tsokas of SUNY as first author – suggest that a different enzyme, PKCι/λ (pronounced PKM iota lambda), is up-regulated in the absence of PKMζ and may take over some of its functions (Tsokas et al., 2016).

The researchers studied a phenomenon called long-term potentiation (LTP): this is a persistent increase in the strength of synapses and it results in the increased transmission of signals between neurons. LTP is considered to be one of the mechanisms that is responsible for learning and memory. Tsokas et al. observed that ZIP reduced late-LTP in PKMζ null mice: however, this happened because ZIP also inhibits the self-sustaining function of PKCι/λ. To explore this further Tsokas et al. created a new antisense molecule that targets the translation start site of PKMζ, predicting it would reduce late-LTP in wild-type mice but not in null mice. This prediction was upheld and validated biochemically. Additionally, while the level of PKCι/λ only increases transiently after the induction of LTP in wild-type mice (because PKMζ is doing the memory work), its level remained high throughout the experiments with the null mice. Symmetrically, a different molecule called ICAP that acts on PKCι/λ but not on PKMζ reversed late-LTP in the null mice but not in wild-type mice.

Behavioural studies using a place avoidance task by Tsokas et al. revealed that the antisense molecule disrupted long-term memory in wild-type mice but not in null mice, and that ICAP disrupted long-term memory in the null mice. A slight shadow is cast on the elegance of the story in that PKCι/λ does not perfectly compensate for lost PKMζ in vivo. Unexpected subtle differences were also observed in the behavioural strategies assumed by the wild-type and PKMζ null mice.

One nagging concern is whether a molecule implicated in memory retention really does need to be sustained throughout the lifetime of a memory. An alternative possibility is that it may trigger structural changes that are, in turn, mediated by other molecules (such as actin): thus, with this job done, our memory molecule can gracefully depart the scene to play upon another stage. Such structural changes could then be faithfully recycled during routine protein turnover, with these proteins being unaware, so to speak, that they are sustaining a memory.

A speculative analogy might be helpful here. Consider a spacecraft that is orbiting the earth before it is sent to the moon. For a brief period, the engines are activated, the rocket speeds up, and the spacecraft escapes earth’s gravity. It is on its way to the moon. The engines are then stopped and the rocket keeps going. Should we look for ‘molecules’ that sustain its motion towards the moon, akin to maintaining a memory as in Sacktor’s argument? Newton’s first law of motion tells us that the rocket will keep moving through space at the same velocity without help from anything else. By analogy, the molecules that make it possible for memories to be retained over long periods of time could, like the engines on a rocket, be activated only transiently. For now, the star billing for PKMζ seems to be vindicated, but time will tell whether this is sustained or transient.

References

Article and author information

Author details

  1. Richard GM Morris

    Centre for Cognitive and Neural Systems, University of Edinburgh, Edinburgh, United Kingdom
    For correspondence
    R.G.M.Morris@ed.ac.uk
    Competing interests
    The author declares that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0001-8661-1520

Publication history

  1. Version of Record published:

Copyright

© 2016, Morris

This article is distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use and redistribution provided that the original author and source are credited.

Metrics

  • 2,384
    views
  • 276
    downloads
  • 6
    citations

Views, downloads and citations are aggregated across all versions of this paper published by eLife.

Download links

A two-part list of links to download the article, or parts of the article, in various formats.

Downloads (link to download the article as PDF)

Open citations (links to open the citations from this article in various online reference manager services)

Cite this article (links to download the citations from this article in formats compatible with various reference manager tools)

  1. Richard GM Morris
(2016)
Memory: Forget me not
eLife 5:e16597.
https://doi.org/10.7554/eLife.16597
  1. Further reading

Further reading

    1. Neuroscience
    Claire Meissner-Bernard, Friedemann Zenke, Rainer W Friedrich
    Research Article

    Biological memory networks are thought to store information by experience-dependent changes in the synaptic connectivity between assemblies of neurons. Recent models suggest that these assemblies contain both excitatory and inhibitory neurons (E/I assemblies), resulting in co-tuning and precise balance of excitation and inhibition. To understand computational consequences of E/I assemblies under biologically realistic constraints we built a spiking network model based on experimental data from telencephalic area Dp of adult zebrafish, a precisely balanced recurrent network homologous to piriform cortex. We found that E/I assemblies stabilized firing rate distributions compared to networks with excitatory assemblies and global inhibition. Unlike classical memory models, networks with E/I assemblies did not show discrete attractor dynamics. Rather, responses to learned inputs were locally constrained onto manifolds that ‘focused’ activity into neuronal subspaces. The covariance structure of these manifolds supported pattern classification when information was retrieved from selected neuronal subsets. Networks with E/I assemblies therefore transformed the geometry of neuronal coding space, resulting in continuous representations that reflected both relatedness of inputs and an individual’s experience. Such continuous representations enable fast pattern classification, can support continual learning, and may provide a basis for higher-order learning and cognitive computations.

    1. Neuroscience
    Cristina Gil Avila, Elisabeth S May ... Markus Ploner
    Research Article

    Chronic pain is a prevalent and debilitating condition whose neural mechanisms are incompletely understood. An imbalance of cerebral excitation and inhibition (E/I), particularly in the medial prefrontal cortex (mPFC), is believed to represent a crucial mechanism in the development and maintenance of chronic pain. Thus, identifying a non-invasive, scalable marker of E/I could provide valuable insights into the neural mechanisms of chronic pain and aid in developing clinically useful biomarkers. Recently, the aperiodic component of the electroencephalography (EEG) power spectrum has been proposed to represent a non-invasive proxy for E/I. We, therefore, assessed the aperiodic component in the mPFC of resting-state EEG recordings in 149 people with chronic pain and 115 healthy participants. We found robust evidence against differences in the aperiodic component in the mPFC between people with chronic pain and healthy participants, and no correlation between the aperiodic component and pain intensity. These findings were consistent across different subtypes of chronic pain and were similarly found in a whole-brain analysis. Their robustness was supported by preregistration and multiverse analyses across many different methodological choices. Together, our results suggest that the EEG aperiodic component does not differentiate between people with chronic pain and healthy individuals. These findings and the rigorous methodological approach can guide future studies investigating non-invasive, scalable markers of cerebral dysfunction in people with chronic pain and beyond.