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Curr Opin Neurobiol. Author manuscript; available in PMC Mar 24, 2009.
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PMCID: PMC2659740
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The Role of Acetylcholine in Learning and Memory

Summary

Pharmacological data clearly indicate that both muscarinic and nicotinic acetylcholine receptors play a role in encoding of new memories. Localized lesions and antagonist infusions demonstrate the anatomical locus of these cholinergic effects, and computational modeling links the function of cholinergic modulation to specific cellular effects within these regions. Acetylcholine may enhance encoding by increasing the strength of afferent input relative to feedback, by contributing to theta rhythm oscillations, by activating intrinsic mechanisms for persistent spiking, and by increasing the modification of synapses. These effects may enhance different types of encoding in different cortical structures. In particular, the effects in entorhinal and perirhinal cortex and hippocampus may be important for encoding of new episodic memories.

Introduction

Pharmacological studies in human subjects conclusively demonstrate that blockade of muscarinic cholinergic receptors by drugs such as scopolamine impairs the encoding of new memories, but not the retrieval of previously stored memories [1,2], and impairs working memory for some stimuli [3]. Conversely, drugs which activate nicotinic receptors enhance the encoding of new information [4,5]. This article will discuss how the specific cellular effects of acetylcholine within cortical structures could underlie the role of acetylcholine in encoding of new memories.

Anatomical location of the cholinergic effect

Localized infusions of cholinergic antagonists into specific anatomical structures demonstrate the importance of cholinergic receptors for particular aspects of memory tasks. Localized infusions of scopolamine into parahippocampal structures demonstrate a role of cholinergic receptors in these structures for the encoding of information for subsequent recognition in both monkeys [6] and rats [7]. These studies used tasks in which animals are exposed to one or multiple sample stimuli during encoding, and are subsequently tested on their delayed recognition of these sample stimuli and rejection of other stimuli which were not presented during the sample phase. Local infusions into perirhinal cortex in monkeys impair encoding for subsequent recognition, whereas infusions into dentate gyrus or inferotemporal cortex do not [6]. Local infusions into perirhinal cortex in rats impair object recognition, as measured by exploration time, but do not impair spatial alternation, suggesting task specificity [7].

Local application of cholinergic antagonists into other regions also cause selective impairments. Infusions of scopolamine into the hippocampus impair spatial encoding [8] and infusions into the medial septum impair spatial learning and reduce acetylcholine release in the hippocampus [9]. Infusions of carbachol into the medial septum, which increase levels of hippocampal acetylcholine, also impair memory [9,10], possibly by interfering with consolidation [10]. Infusions of scopolamine into region CA3 cause selective impairments of encoding but not retrieval in the Hebb-Williams maze [11].

Anatomical localization of cholinergic function can also be studied with localized injections of saporin conjugated with antibodies to cholinergic neurons. Retrograde transport of the saporin results in a selective lesion of cholinergic neurons innervating the structure that was injected. Selective lesions of the entorhinal cortex in rats cause impairments in delayed non-match to sample for novel but not familiar odor stimuli [12]. Similarly, cholinergic lesions of the perirhinal cortex in monkeys cause impairments in visual delayed match to sample performance [13]. Selective cholinergic lesions of the medial septum do not cause impairments as strong as complete medial septal lesions, suggesting that the role of this cholinergic innervation in spatial memory encoding can be substituted by GABAergic innervation from the medial septum [14].

The anatomical localization studies allow behavioral effects to be linked to specific cellular effects of acetylcholine described using intracellular recording techniques in slice preparations. Computational models demonstrate how the cellular mechanisms of these effects could enhance encoding of memories. These cellular mechanisms include: 1.) enhancement of the influence of afferent input relative to excitatory feedback; 2.) regulation of inhibition and theta rhythm oscillations, 3.) enhancement of persistent spiking for active maintenance, and 4.) enhancement of synaptic modification.

Enhancement of afferent input relative to excitatory feedback

As summarized in Figure 1, acetylcholine may enhance the encoding of memory by enhancing the influence of feedforward afferent input to the cortex, making cortical circuits respond to features of sensory stimuli, while decreasing excitatory feedback activity mediating retrieval. This change in dynamics results from effects including nicotinic enhancement of excitatory afferent input, and muscarinic presynaptic inhibition of excitatory feedback.

Figure 1
Effect of acetylcholine on cortical dynamics. Left: High acetylcholine (ACh) levels enhance the magnitude of afferent input to cortex through action at nicotinic receptors. High ACh also suppresses the magnitude of feedback excitation in cortex via presynaptic ...

Nicotinic enhancement of afferent input

The behavioral evidence for nicotinic enhancement of memory function may partly result from enhancement of afferent input to cortical structures where memories are encoded. For example, nicotinic enhancement of excitatory synaptic transmission has been shown for the afferent input to hippocampal region CA3 from entorhinal cortex [15] and from the dentate gyrus [16], but not for excitatory feedback within CA3. Similarly, in thalamocortical slice preparations of somatosensory cortex [17], activation of nicotinic receptors enhances thalamic input but not excitatory feedback synapses. Nicotinic enhancement of glutamatergic transmission has also been shown at the medial dorsal thalamic input to prefrontal cortex [18]. These effects could enhance the influence of sensory input on cortical spiking activity during encoding, particularly since they would be accompanied by enhancement of the spiking response to afferent input due to muscarinic depolarization of pyramidal cells and reductions in spike frequency accommodation [reviewed in [2,19]].

Muscarinic presynaptic inhibition

Acetylcholine may also enhance encoding via muscarinic presynaptic inhibition of excitatory feedback synapses within cortical circuits [2]. Modeling shows that the reduction of excitatory feedback enhances encoding by reducing interference from previous retrieval [20]. In the piriform cortex, cholinergic modulation causes selective presynaptic inhibition of excitatory feedback potentials, while having a much weaker effect on afferent synaptic potentials [21]. In region CA3 of hippocampus, muscarinic receptors suppress excitatory transmission at recurrent connections in stratum radiatum [22,23], but not at afferent synapses in stratum lucidum [22] or stratum lacunosum moleculare (Kremin and Hasselmo, unpublished data). Acetylcholine suppresses excitatory potentials in stratum radiatum of region CA1 [20,24], but not as much in stratum lacunosum-moleculare (SLM), where entorhinal cortex layer III input terminates [20]. Presynaptic inhibition appears to be stronger for synapses with AMPA receptors versus silent synapses in hippocampus [25] consistent with physiological evidence that presynaptic inhibition is stronger for recently potentiated synapses in piriform cortex [26]. Modeling demonstrates that this selectivity would enhance self-organization of new representations for afferent input [26], which has been shown experimentally [27]. Consistent with the models of cholinergic presynaptic inhibition in hippocampus, local infusion of cholinergic antagonists in hippocampus causes an increase in background spiking activity in unit recordings [28]. Presynaptic inhibition also appears in areas such as the subiculum [29].

These effects could alter cortical functional dynamics as acetylcholine levels change during waking and sleep [30]. High cholinergic levels during waking suppress feedback, providing dominant feedforward effects appropriate for encoding, and reducing the influence of hippocampus on entorhinal cortex [31]. In contrast, lower acetylcholine levels during slow wave sleep remove the presynaptic inhibition, resulting in dominant feedback effects appropriate for consolidation, and resulting in greater spiking activity and evoked potentials in deep layers of entorhinal cortex [31]. This predicts that consolidation of memory should be impaired by increases in acetylcholine levels during consolidation. This hypothesis is supported by impairments of consolidation caused by cholinergic infusions into medial septum after training in rats [10] and effects of the acetylcholinesterase blocker physostigmine on consolidation in humans [32]. Effects in neocortical structures are consistent with this functional framework, as cholinergic modulation causes presynaptic inhibition of feedback synapses from higher order somatosensory cortex, while having less effect on synaptic potentials elicited in layer IV [33]. Similarly, acetylcholine suppresses intracortical synaptic potentials but not thalamocortical input in the auditory cortex [34], and primary visual cortex [35].

Modulation of inhibition and theta rhythm oscillations

Acetylcholine may also enhance encoding through its role in increasing theta rhythm oscillations within the hippocampal formation [36,37]. Encoding is enhanced when stimuli are presented during periods of theta rhythmicity [38]. Modeling demonstrates how performance in memory tasks can be enhanced by changes in encoding and retrieval dynamics within each cycle of the theta rhythm [39], as shown in Figure 2. Theta rhythm is blocked by combined lesions of the cholinergic and GABAergic input from the medial septum [40]. Cholinergic neurons show theta rhythmic firing, which could provide rhythmic modulation of neuronal function in the hippocampus [41].

Figure 2
Schematic of functional dynamics during theta rhythm. Modeling [39] suggests that encoding occurs at the trough and rising slope of theta, when current sinks are strong in stratum lacunosum-moleculare (SLM), where entorhinal input terminates, and currents ...

Interneurons play an important role in theta rhythm [42]. Cholinergic modulation directly depolarizes many hippocampal interneurons [4345], which could enhance their activity during theta rhythm. Muscarinic receptors also reduce release of GABA [46]. This effect appears paradoxical, but computational modeling demonstrates that these combined effects reduce background activity, while heightening the response to suprathreshold sensory stimuli [19]. Cholinergic modulation also increases the rhythmicity of some interneurons [43]. This cholinergic regulation of interneuron rhythmicity could contribute to regulating the encoding and retrieval dynamics of the hippocampus, as shown in Figure 2. In the hippocampus, muscarinic receptors selectively depolarize oriens lacunosum-moleculare (O-LM) interneurons, but not non-OLM cells [47]. This could provide separate rhythmic timing of dendritic and somatic inhibition which could enhance separation of encoding and retrieval dynamics during theta rhythm oscillations [39,48].

Enhancement of persistent spiking

Acetylcholine has been demonstrated to enhance the persistent spiking of individual cortical neurons, which could provide a mechanism for active maintenance of novel information. This effect has been shown in entorhinal cortex [49], as well as other regions. As illustrated in Figure 3, in standard control conditions, entorhinal neurons will respond to an intracellular depolarizing current injection by generating spiking activity during the current injection, but will terminate spiking after the end of current injection. In contrast, during perfusion with the cholinergic agonist carbachol, neurons respond to the same magnitude and duration of depolarizing current injection with an increased number of spikes, and when the current injection ends, they persist in spiking activity for an extended period of many seconds or even minutes [49,50]. This effect has also been described in other areas including perirhinal cortex [Giocomo, Tahvildari and Hasselmo, unpublished data] and prefrontal cortex [51].

Figure 3
Model of how acetylcholine induces persistent activity during the delay period of a delayed match to sample task. Top: In control conditions, a neuron responds to depolarizing input representing sample and test by spiking only during the depolarization. ...

This persistent spiking provides an excellent mechanism for active maintenance of novel information both for short-term working memory and for encoding of information into long-term memory. Detailed computational simulations of the entorhinal cortex [52] demonstrate how the cholinergic activation of intrinsic mechanisms for persistent spiking could underlie spiking activity during the delay period of delayed matching tasks in both rats [53] and monkeys [54], as well as phenomena such as match and non-match enhancement and suppression which occur during these tasks. Modeling demonstrates how cholinergic modulation activates a non-specific cation current which causes a regenerative cycle in which spiking causes voltage-sensitive calcium influx which further activates the non-specific cation current, causing persistent spiking. Modeling also demonstrates cellular mechanisms for the neurons in deep layers of entorhinal cortex which maintain graded firing frequencies for an extended period [50].

Modeling demonstrates how these intrinsic mechanisms for persistent firing could allow working memory for novel stimuli, for which synaptic connectivity has not previously been modified [12]. Consistent with this, scopolamine reduces parahippocampal fMRI activity observed during the delay period of a delayed match to sample task [55]. Loss of this persistent activity could underlie the impairment of delayed matching function in humans caused by scopolamine [3], as well as the impairments of encoding observed with localized infusions of scopolamine [6]. This hypothesis is also consistent with evidence that medial temporal lesions selectively impair working memory for new conjunctions of stimuli and complex non-verbalizable visual stimuli [56].

Cholinergic enhancement of long-term potentiation

Obviously, acetylcholine could also enhance encoding by enhancing long-term potentiation. Acetylcholine enhances LTP in many areas, including the hippocampus [57,58], entorhinal cortex [59] and piriform cortex [60]. In region CA1, induction of LTP depends on phase relative to spontaneous oscillatory activity [57]. Stimulation of the medial septum enhances LTP induction in vivo [61] and scopolamine blocks the LTP enhancement associated with medial septal activity [62]. Recent studies also demonstrate nicotinic enhancement of long-term potentiation [4].

Conclusions

In summary, there is increasing convergence of research on the role of acetylcholine in learning and memory. Top-down behavioral approaches have become more focused in using anatomically localized manipulations of cholinergic modulation. Bottom up cellular data from brain slice physiology can be linked to behavior by use of detailed computational models. Future work should combine local pharmacological manipulations with physiological recording in structures such as entorhinal cortex, to test whether cholinergic antagonists block persistent spiking activity and enhance feedback effects. In addition, studies should explore the role of cholinergic modulation in regulating the timing of action potentials relative to theta rhythm oscillations.

Acknowledgements

This work supported by the National Institutes of Health, grant numbers MH60013, MH61492 and DA16454 (as part of the program for Collaborative Research in Computational Neuroscience) and by National Science Foundation Science of Learning Center SBE 0354378. Thanks to Lisa Giocomo and Eric Zilli for comments. The author has no conflict of interest.

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