Neuronal memory allocation

<h2 id="neuronal-allocation">Neuronal allocation</h2>
Neuronal allocation is a phenomenon that accounts for how specific neurons in a network, and not others that receive similar input, are committed to storing a specific memory.<a class="footnote-ref" id="fnref:10" href="#fn:10">10</a>

<h3>The role of CREB in neuronal allocation</h3>

The transcription factor <a href="/facts/CREB/ug1kE9j0">cAMP response element-binding protein (CREB)</a> is a well-studied mechanism of neuronal memory allocation. Most studies to date use the <a href="/facts/Amygdala/AAy2mHb5">amygdala</a> as a model circuit, and <a href="/facts/Amygdala/AAy2mHb5">fear-related memory traces</a> in the amygdala are mediated by <a href="/facts/CREB/ug1kE9j0">CREB</a> expression in the individual neurons allocated to those memories.<a class="footnote-ref" id="fnref:11" href="#fn:11">11</a><a class="footnote-ref" id="fnref:12" href="#fn:12">12</a><a class="footnote-ref" id="fnref:13" href="#fn:13">13</a> <a href="/facts/CREB/ug1kE9j0">CREB</a> modulates cellular processes that lead to neuronal allocation, particularly with regards to <a href="/facts/Dendritic_spine/wg54o3YT">dendritic spine</a> density and morphology.<a class="footnote-ref" id="fnref:14" href="#fn:14">14</a> Many of the memory mechanisms studied to date are conserved across different brain regions, and it is likely that the mechanisms of fear-based memory allocation found in the amygdala will also be similarly present for other types of memories throughout different brain regions.<a class="footnote-ref" id="fnref:15" href="#fn:15">15</a> Indeed, Sano and colleagues in the Silva lab showed that CREB also regulates neuronal memory allocation in the amygdala.<a class="footnote-ref" id="fnref:16" href="#fn:16">16</a>
<a href="/facts/CREB/ug1kE9j0">CREB</a> may be activated by multiple pathways. For example, the <a href="/facts/Cyclic_adenosine_monophosphate/flK2vwUe">cyclic adenosine monophosphate (cAMP)</a> and <a href="/facts/Protein_Kinase_A/kaKoYfbp">protein kinase A (PKA)</a> pathways appear to participate in neuronal allocation.<a class="footnote-ref" id="fnref:17" href="#fn:17">17</a> When activated by the second messengers such as <a href="/facts/Cyclic_adenosine_monophosphate/flK2vwUe">cAMP</a> and calcium ions, enzymes such as <a href="/facts/Protein_Kinase_A/kaKoYfbp">PKA</a> and <a href="/facts/MAP_kinase/YdDS5KkU">MAP kinase</a> can translocate to the nucleus and <a href="/facts/Phosphorylate/LXUEEeIL">phosphorylate</a> <a href="/facts/CREB/ug1kE9j0">CREB</a> to initiate <a href="/facts/Transcription_(genetics)/bDgp9HDN">transcription</a> of target genes.<a class="footnote-ref" id="fnref:18" href="#fn:18">18</a><a class="footnote-ref" id="fnref:19" href="#fn:19">19</a> PKA inhibitors can block the development of long-lasting <a href="/facts/Long-term_potentiation/AbuJmBeo">LTP</a>, and this is accompanied by a reduction in the transcription of genes modulated by the CREB protein.<a class="footnote-ref" id="fnref:20" href="#fn:20">20</a>

<h3>Metaplasticity in neuronal allocation</h3>
Main article: <a href="/facts/Metaplasticity/vmsC5oJF">Metaplasticity</a>
<a href="/facts/Metaplasticity/vmsC5oJF">Metaplasticity</a> is a term describing the likelihood that a given stimulus will induce neuronal plasticity, based on the previous activity experienced by that neuron. Several studies provide evidence that neurons receiving “priming activity” (such as neurotransmitters, paracrine signals, or hormones) minutes to days prior will show a lower threshold for induction of <a href="/facts/Long_term_potentiation/AbuJmBeo"> long term potentiation (LTP)</a>.<a class="footnote-ref" id="fnref:21" href="#fn:21">21</a><a class="footnote-ref" id="fnref:22" href="#fn:22">22</a><a class="footnote-ref" id="fnref:23" href="#fn:23">23</a> Other studies find that activation of NMDARs can also raise the stimulation threshold for induction of <a href="/facts/Long_term_potentiation/AbuJmBeo">LTP</a>.<a class="footnote-ref" id="fnref:24" href="#fn:24">24</a> Thus, similar inputs on groups of neurons may induce LTP in some but not others based on prior activity of those neurons.<a class="footnote-ref" id="fnref:25" href="#fn:25">25</a>
Signaling mechanisms implicated in these metaplastic effects include <a href="/facts/Autophosphorylation/2fxju7UD">autophosphorylation</a> of <a href="/facts/CaMKII/hklT8LuH">αCaMKII</a>,<a class="footnote-ref" id="fnref:26" href="#fn:26">26</a> changes in <a href="/facts/NMDA_receptor/BqMhXEbU">NMDA receptor</a> subunit composition,<a class="footnote-ref" id="fnref:27" href="#fn:27">27</a> and activation of <a href="/facts/Voltage-dependent_calcium_channel/H9nAybJJ">voltage-dependent calcium channels</a>.<a class="footnote-ref" id="fnref:28" href="#fn:28">28</a><a class="footnote-ref" id="fnref:29" href="#fn:29">29</a> These metaplastic effects regulate memory destabilization and <a href="/facts/Memory_consolidation/n9JtsvIB">reconsolidation</a>.<a class="footnote-ref" id="fnref:30" href="#fn:30">30</a>

<h2 id="synaptic-allocation">Synaptic allocation</h2>
Synaptic allocation pertains to mechanisms that influence how <a href="/facts/Synapse/vdMRJCUn">synapses</a> come to store a given memory.<a class="footnote-ref" id="fnref:31" href="#fn:31">31</a> Intrinsic to the idea of synaptic allocation is the concept that multiple synapses can be activated by a given set of inputs, but specific mechanisms determine which synapses actually go on the encode the memory. Allocation of memories to specific synapses are key to determining where <a href="/facts/Memories/zucwQIEX">memories</a> are stored.

<h3>Synaptic tagging and capture</h3>

Main article: <a href="/facts/Synaptic_tagging/VJlDnhRG">Synaptic tagging</a>
Synaptic activity can generate a synaptic tag, which is a marker that allows the stimulated spine to subsequently capture newly transcribed plasticity molecules such as <a href="/facts/Arc_(protein)/dG6x1TyC">Arc</a>. Synaptic activity can also engage the <a href="/facts/Translation_(biology)/JcPC1rth">translation</a> and <a href="/facts/Transcription_(genetics)/bDgp9HDN">transcription</a> machinery. Weak stimulation can create synaptic tags but will not engage the translation and transcription machinery, whereas strong stimulation will create synaptic tags and also engage the translation and transcription machinery. Newly generated plasticity-related proteins (PRPs) can be captured by any tagged synapses, but untagged synapses are not eligible to receive new PPs. After a certain time period, synapses will lose their tag and return to their initial state. Furthermore, the supply of new PRPs will deplete. The tags and new PRPs must overlap in time to capture the PRPs.<a class="footnote-ref" id="fnref:32" href="#fn:32">32</a><a class="footnote-ref" id="fnref:33" href="#fn:33">33</a><a class="footnote-ref" id="fnref:34" href="#fn:34">34</a>
The <a href="/facts/Synaptic_tagging/VJlDnhRG">synaptic tag</a> is inversely related to time between inducing stimuli, and is said to be temporarily asymmetrical. Furthermore, the tagging is also inversely related to the distance between spines, an important spatial properties of tagging. Conversely confirming the temporal and spatial properties of the synaptic tagging, subsequent imaging studies revealed that there are not only temporal constraints but also structural constraints that limit synaptic tagging and capture mechanisms. Overall, these studies demonstrate the complexity of synaptic tagging and capture, and give further insight into how exactly this mechanism occurs.<a class="footnote-ref" id="fnref:35" href="#fn:35">35</a>

<h3>Spine clustering</h3>
Synaptic clustering refers to the addition of new spines to a dendritic area where other spines have been added by previous learning.<a class="footnote-ref" id="fnref:36" href="#fn:36">36</a> Spine clustering may result in the amplification of synaptic inputs via diffusible molecular crosstalk that occurs near activated spines.1 For example, studies have shown that signaling molecules synthesized at one spine, (e.g. activated RAS and/or RHOA), may diffuse out and influence spine growth at nearby sites.<a class="footnote-ref" id="fnref:37" href="#fn:37">37</a> The <a href="/facts/Rho_family_of_GTPases/RvAaNbp3">Rho GTPase</a> <a href="/facts/CDC42/pdRWxSyP">CDC42</a> may also contribute to spine clustering by driving long-term spine volume increases. Recent studies also suggest that this process may be regulated by <a href="/facts/NMDA_receptor/BqMhXEbU">NMDA receptor</a> activation and nitric oxide stimulation.<a class="footnote-ref" id="fnref:38" href="#fn:38">38</a><a class="footnote-ref" id="fnref:39" href="#fn:39">39</a>
Spine clustering in the <a href="/facts/Motor_cortex/oQ2w0g3S">motor cortex</a> reflects a morphological mechanism for synaptic storage of specific motor memories. These clustered spines are more stable than non-clustered new spines. This type of addition of spines occurs in a specific pattern, meaning that spines added after one task will not cluster with spines after an alternative task.<a class="footnote-ref" id="fnref:40" href="#fn:40">40</a> Loss of spine clustering is also a possibility as shown in some <a href="/facts/Fear_conditioning/6w2xFzAA">fear conditioning</a> experiments, leading to the net loss of spines in the frontal association cortex, a region strongly associated in fear conditioning, which strongly correlates with memory on <a href="/facts/Recall_(memory)/flxSh2qP">recall</a>. Once spines were added after fear extinction had a similar orientation to the spines lost during the original fear conditioning.<a class="footnote-ref" id="fnref:41" href="#fn:41">41</a>

<h2 id="mechanisms-that-link-memories-across-time">Mechanisms that link memories across time</h2>
<a href="/facts/Denise_Cai/yNyeo4E0">Denise Cai</a> in <a href="/facts/Alcino_J._Silva/GhFqzP3J">Alcino J. Silva</a>'s laboratory found that memory allocation mechanisms are used to connect or link memories across time.<a class="footnote-ref" id="fnref:42" href="#fn:42">42</a> In their studies they demonstrated that one contextual memory triggers the activation of CREB and subsequent enhancements in excitability in a subset of hippocampal CA1 neurons, such that a subsequent contextual memory, occurring within 5 hours, can be allocated to some of the same CA1 neurons that stored the first contextual memory. As a consequence of this overlap between the CA1 memory engrams for the two contextual memories, recall of one contextual memory activates the retrieval of the second memory. These studies also showed that contextual memory linking mechanisms are disrupted in the aging brain, and that increasing excitability in a subset of CA1 neurons reverses these memory linking deficits. It is very likely that impairments in CREB and neuronal excitability in aging brains could account for abnormalities in memory linking and possibly related source memory problems (<a href="/facts/Source_amnesia/uv8cYybv">source amnesia</a>) associated with aging. In July 2018, in a special issue about "13 Discoveries that Could Change Everything", Scientific American highlighted the Silva laboratory's discovery of Memory Allocation and Linking <a class="footnote-ref" id="fnref:43" href="#fn:43">43</a>

<h2 id="current-and-future-research">Current and future research</h2>
<h3>Integrating synaptic and neuronal allocation</h3>
Experiments have yet to investigate the interaction of allocative mechanisms between the neuronal and synaptic levels. The two classes of processes are very likely to be interconnected considering the relationship between neurons and synapses in a neuronal network. For example, the synaptic tagging and capture involved in synaptic allocation requires the allocation of the neurons to which the synapses belong to. Moreover, increases in neuronal excitability in a given neuronal ensemble may affect some dendrites more than others, thus biasing memory storage to synapses in dendrites with higher excitability.<a class="footnote-ref" id="fnref:44" href="#fn:44">44</a><a class="footnote-ref" id="fnref:45" href="#fn:45">45</a> Similarly, on the recruited neurons displaying increased excitability, specific synapses need to be selected for in order to store the information in the form of synaptic plasticity.
One aspect of integration involves <a href="/facts/Metaplasticity/vmsC5oJF">metaplasticity</a> and how acquisition and storage of one memory changes the <a href="/facts/Biological_neural_network/pgngqMLf">neural circuit</a> to affect the storage and properties of a subsequent memory. Cellular excitability has been proposed as one of the mechanisms responsible for heterosynaptic metaplasticity, the modulation of subsequent plasticity at different synapses.<a class="footnote-ref" id="fnref:46" href="#fn:46">46</a> CREB functions through elevating cell excitability as described above, thus it is also possibly involved in hetrerosynaptic metaplasticity. <a href="/facts/Synaptic_tagging/VJlDnhRG">Synaptic tagging</a> and capture, as introduced in sections above, can result in a weak memory (capable of triggering only E-LTP), which would otherwise be forgotten, but it can be strengthened and stabilized by a strong memory (capable of triggering L-LTP), which is a form of heterosynaptic plasticity.

<h3>Future research</h3>
Despite extensive research into the individual mechanisms of memory allocation, there are few studies investigating the integration of these mechanisms. It has been proposed that understanding the implications of the molecular, cellular and systemic mechanisms of these processes may elucidate how they are coordinated and integrated during memory formation.<a class="footnote-ref" id="fnref:47" href="#fn:47">47</a> For example, identifying the plasticity-related proteins (PRPs) involved in synaptic tagging and capture as well as the upstream and downstream molecules of CREB can help reveal potential interactions. Investigating the functional significance of these mechanisms will require tools that can directly manipulate and image the processes involved in the proposed mechanisms in vivo.<a class="footnote-ref" id="fnref:48" href="#fn:48">48</a> For instance, it is possible that the behavioral interactions ascribed to synaptic tagging and capture are caused by protein synthesis-dependent increases in <a href="/facts/Neuromodulation/mwjkrkHt">neuromodulators</a> such as <a href="/facts/Dopamine/5gNy8Xkd">dopamine</a> rather than by synaptic tagging mechanisms. Examining the behavioral effects under direct manipulation can help rule out these other possible causes.

<h2 id="see-also">See also</h2>
<ul><li><a href="/facts/Memory_consolidation/n9JtsvIB">Memory consolidation</a></li>
<li><a href="/facts/Engram_(neuropsychology)/m5JRMQKh">Engram</a></li>
<li><a href="/facts/Multiple_trace_theory/T2fSfkYq">Multiple trace theory</a></li>
<li><a href="/facts/Long-term_potentiation/AbuJmBeo">Long-term potentiation</a></li>
<li><a href="/facts/Synaptic_tagging/VJlDnhRG">Synaptic tagging</a></li></ul>

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</ol>

Neuronal memory allocation open-in-new

Neuronal memory allocation