How we recall (or don’t): the hippocampal memory machine and anesthetic amnesia
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The hippocampal formation occupies a central position for the processing of sensory input into learned, remembered, and consciously retrievable information. The mechanisms by which anesthetic drugs interfere with these processes are now emerging. We review the current understanding of the role of the hippocampal formation in the generation of memory traces and how anesthetics might interfere with its function.
Intraoperative amnesia is a desired endpoint of general anesthesia from the perspective of both the patient and the practitioner. “Intraoperative awareness with recall” can result when learning and memory do occur. In addition, anesthetics are capable of inducing a state of “conscious amnesia” that can provide insight into the workings of the brain and might be useful clinically.
Anesthesiologists routinely induce the most fascinating pharmacologic effects in existence, the reversible interference of anesthetics with higher cognitive functions. Understanding how the drugs in our custody exert their effects should be our contribution to mankind’s universal knowledge base.
Comment nous nous souvenons (ou ne nous souvenons pas): la machine à mémoire hippocampique et l’amnésie anesthésique
La formation hippocampique joue un rôle central dans le traitement et la transformation des informations sensorielles en informations apprises, remémorées et consciemment récupérables. Aujourd’hui, les mécanismes par lesquels les anesthésiques interfèrent avec ces processus deviennent plus connus. Dans cet article, nous passons en revue notre compréhension actuelle du rôle de la formation hippocampique dans la génération d’engrammes et de la façon dont les agents anesthésiques pourraient interférer avec son fonctionnement.
L’amnésie peropératoire est un résultat souhaité de l’anesthésie générale du point de vue du patient aussi bien que de celui du médecin. La « conscience peropératoire avec souvenir » peut survenir lorsqu’il y a apprentissage et mémoire. En outre, les anesthésiques peuvent induire un état « d’amnésie consciente » qui pourrait procurer un aperçu du fonctionnement du cerveau et avoir une utilité clinique.
Les anesthésiologistes induisent de façon routinière les effets pharmacologiques les plus fascinants qui soient, soit l’interférence réversible des anesthésiques avec les fonctions cognitives supérieures. Comprendre la façon dont les médicaments sous notre responsabilité exercent leurs effets devrait constituer notre contribution à la base de connaissances universelle de l’humanité.
In the course of the 20th century, as mankind was developing advanced tools to scientifically investigate higher cognitive function, the hippocampal formation (HF) advanced from a lowly olfactory structure to the seat of a cognitive map forming the cornerstone of orientation in space and time. The HF, which encompasses the hippocampus proper (CA1, CA2, and CA3 regions), as well as the dentate gyrus (DG), the subiculum, and the entorhinal cortex, is now at the centre of the quest to understand the brain’s ability to learn, remember, and predict. The aim of this paper is to explore how anesthetic drug action in the HF contributes to a cardinal endpoint of anesthesia: intraoperative amnesia.
Drugs used perioperatively can cause amnesia via actions on different molecular targets, only a few of which can be matched to individual drugs with a high degree of certainty. Subpopulations of gamma-aminobutyric acid (GABA)A receptors containing specific subunits mediate the amnestic effect of benzodiazepines, etomidate, and propofol. Muscarinic receptors are the target of scopolamine. The receptors mediating the amnestic effects of inhalational agents and ketamine are known with less certainty, but they probably include GABAA receptors, tandem pore domain potassium channels, and N-methyl-D-aspartate (NMDA) type glutamate receptors and synapses. It is unknown, however, how important each of these receptor/transmitter systems is for the endpoint of amnesia. Remarkably, all anesthetics that have been studied induce amnesia at a concentration well below that which induces loss of consciousness, especially for types of memory that require processing by the HF (see below). In practice, this means that a state of “conscious amnesia” can be achieved purposefully. Moreover, amnesia has been shown to be a separate effect from sedation for some intravenous anesthetics (midazolam and propofol)1 but not for others (dexmedetomidine).2
The hippocampal memory machine
From obscurity to limelight
Few transformations in science are so tightly intertwined with the fate of one individual as that of our understanding of the role of the HF in memory. Having lost large parts of his HF to an attempt to surgically cure his intractable epilepsy at the age of 27, the late Henry Gustav Molaison (1926-2008) became known to the world of neuroscience as H.M. – the “unforgettable amnesiac”.1 His case revolutionized the study of memory. Prior to this time, an influential article by A. Brodal3 had exposed the flaws of considering the HF as part of the rhinenecephalon (the smell brain). An alternative hypothesis, current at that time, placed the HF into a phylogenetically ancient limbic system subserving primarily emotional functions.4 The fundamental shift in understanding of the role of the HF was triggered by Scoville & Milner’s description of H.M.’s (and eight other surgical patients’) clinical syndrome of “loss of recent memory after bilateral hippocampal lesions”. Dr. William B. Scoville was the operating neurosurgeon, Dr. Brenda Milner a clinical neuropsychologist with a PhD degree completed under the tutelage of Donald Hebb. This publication has received approximately 3,000 citations and is easily accessible, as it was reprinted in 2000.5
Hippocampus and episodic memory
The results from many years of work in a number of leading laboratories have led to the formulation of two theories of fundamental functions of the HF. On the one hand, the HF enables navigation through space by forming cognitive maps of the environment that are stored as place cells and place fields that can be quickly updated if the environment changes. On the other hand, the HF is a key structure for the flexible expression of declarative episodic memories – the term episodic-like is used frequently when applied to animals.9 Spatial and episodic memories share the need to organize individual representations in temporal sequences. Without that property, individual locations could not be organized into a map, and memories would lack the what – where – when content characteristic of episodic memories (e.g., I was in the operating room unable to move and undergoing surgery when Doctor X said …). As a result of these memory functions, the HF is also essential for projecting our experience forward in time/space and thereby predicting the future. Although this discussion focuses on the HF and its role in learning and memory, it is important to acknowledge that the HF never functions in isolation from the rest of the brain.
Animal models of episodic-like memory
While not undisputed, it is our opinion that animals provide valid experimental systems of episodic memory. These models are not necessarily identical to human conscious memory, but they allow the degree of invasiveness necessary for a thorough understanding of anesthetic-mediated suppression of episodic memory trace formation, which is the core of intraoperative awareness or recall. Fear conditioning (FC) in various permutations is a model used widely to investigate learning and memory.10-13
Fear conditioning-to-tone and FC-to-context engage largely overlapping sets of brain structures, with the critical difference that the hippocampus is engaged only during FC-to-context. Building on this distinction, Dr. Eger’s group at the University of California San Francisco in collaboration with Dr. Fanselow at the University of California Los Angeles determined the dose-response relationship of anesthetics for inhibition of FC in rats, i.e., the median effective concentration required to induce a 50% effect (EC50,amnesia), being the memory analogue to minimum alveolar concentration for surgical immobility (MAC). They discovered that the EC50,amnesia for contextual FC was approximately one-half the EC50 for FC to tone and that both were inhibited at concentrations below the EC50 for loss of righting reflex (the rodent analogue of loss of consciousness).14-16 These findings are consistent with results from a variety of other tasks (eyeblink conditioning, inhibitory avoidance, Morris water maze) that indicate that learning tasks are sensitive to disruption by anesthetics at low subhypnotic concentrations, particularly if they require hippocampal processing,17,18 and they suggest that some aspect of hippocampal function renders episodic-like memories particularly vulnerable to anesthetic disruption.
Does it follow from these arguments that anesthetics must then act in the hippocampus itself in order to impair episodic memory formation? Not necessarily. Targeted hippocampus-selective manipulations do impair learning and memory. However, actions outside the hippocampus can also affect its proper function, for example, by disturbing the septal θ-rhythm generation and thereby impairing hippocampus-dependent learning and memory.
Important molecular switches
Like in other parts of the mammalian central nervous system (CNS), the neurotransmitters, L-glutamate and GABA, together with a variety of their ionotropic and metabotropic receptors form the backbone of synaptic excitation and inhibition in the hippocampus. These synapses are recognized targets of most general anesthetic drugs and are thought to be mediators of the various components of anesthetic action. The involved receptors for the neurotransmitters display a perplexing heterogeneity, because each receptor is composed of multiple subunits, and multiple isoforms for each subunit exist. However, some receptor/subunit combinations have attracted the attention of scientists studying anesthetic mechanisms because some (in the case of etomidate, all) of the following conditions are present: 1) their function is affected by anesthetics in the relevant concentration range; 2) their specific distribution in the CNS makes it likely that they are important for learning and memory; 3) genetically engineered mice that allow the study of their role have been successfully created.
Among the GABAA receptors, those containing the α1 and α5 subunits have been linked most closely with pharmacologically-induced amnesia. The evidence includes both genetic and subunit-specific pharmacological tools. The memory-impairing effect of diazepam in the step-through passive avoidance paradigm was reduced in mice carrying a benzodiazepine-sensitive mutation in the α1 subunit.19 Similarly, the ability of etomidate to disrupt hippocampal-dependent learning (contextual conditioning and Morris water maze performance) was eliminated in mice lacking the GABAAR α5 subunit.20 Whereas, the α1 subunit is the most abundant type of GABAAR α subunit and is distributed throughout the brain, the α5 subunit is expressed most heavily in the hippocampus. This finding provides perhaps the strongest evidence to date that anesthetic action, or at least etomidate action, within the hippocampus itself is critical to anesthetic-induced amnesia.
Synaptic excitation, especially the form mediated by NMDA receptors, is another target of anesthetic action that may contribute to amnesia, at least for some drugs, such as ketamine21 and certain inhaled anesthetics. Since NMDA receptor activation depends on both the presence of the endogenous agonist glutamate as well as membrane depolarization provided by preceding or concurrent synaptic excitation, it acts as a “coincidence detector” for concurrent pre- and post-synaptic activation.22 Theoretical studies indicate that this is an important characteristic of many types of “memory machines”. These receptors and synapses thus form a crucial link in the chain of plasticity that leads to learning and memory.23 Anesthetics can interfere with NMDA receptor activation in a number of ways, including inhibition of postsynaptic receptors or interference with presynaptic transmitter release, or indirectly by preventing the level of depolarization required for receptor activation, for example, by enhancing dendritic GABAA receptor activation.24
It should be mentioned that other receptors, subunit combinations, and/or channels are higher on the agenda for other endpoints of anesthesia – including, for example, the receptor for glycine (immobility)25 and the family of tandem pore domain potassium channels (hypnosis, immobility).26,27
Synaptic plasticity: learning and memory in a dish
An important property of glutamatergic synapses is their ability to undergo use-dependent changes in synaptic strength, which is commonly referred to as plasticity. The persistent strengthening of excitatory synapses following a brief train of stimuli, a phenomenon termed “long-term potentiation” (LTP), was discovered in the hippocampus, and here it has been most thoroughly studied. However, it has been observed at virtually every examined excitatory synapse in the CNS that uses glutamate as a transmitter. A related phenomenon termed “long-term depression” (LTD) is also observed at many synapses, typically elicited by slower longer-lasting trains of electrical stimuli. Synaptic plasticity is widely considered to be the molecular correlate of learning, memory, and related homeostatic processes in the brain.
A wide variety of stimulus protocols can be used to induce LTP. Some, such as the “tetanic stimulation” protocol, which typically involves a one-second train at 100 Hz, are clearly non-physiological. Nevertheless, even these non-physiological models have produced many important insights into the molecular events underlying alterations in synaptic structure and function. Physiologically inspired models, such as the “theta burst” or “theta-associated” stimulation protocols, have been designed to match more closely in vivo firing patterns. Perhaps tellingly, these protocols can produce synaptic potentiation with fewer individual stimuli. It is subject to debate as to which methods most closely approximate processes occurring naturally, i.e., the method that best represents learning and memory is subject to debate.
In the hippocampus, all three excitatory synapses linking the cellular elements of the unidirectional trisynaptic circuit between principal cells of the hippocampus (Fig. 1) can undergo LTP, but the precise molecular expression of plastic changes differs. Glutamatergic synapses on GABAergic (i.e., inhibitory) interneurons can also undergo plastic changes. While synaptic plasticity is expressed at excitatory synapses, it is controlled by inhibitory (e.g., GABAergic) systems.
Long-term potentiation is a popular (and attractive) model for understanding basic elements of anesthetic-induced amnesia. Generally speaking, conditions that reduce inhibition or increase excitation will facilitate LTP. Among many other effects, the potent inhaled anesthetics enhance the GABAA-ergic inhibitory systems and suppress excitatory synaptic transmission. It is unknown as to whether, how, and to what degree these effects contribute to anesthetic amnesia. The effects of inhaled anesthetics on LTP have been studied in vivo and in vitro with conflicting results; in vitro28 but not in vivo29 LTP can be suppressed with inhaled agents. Reconciling these findings and developing valid models to study the molecular-cellular-circuit mechanisms of drug interference with plasticity and learning and memory are goals of current research in anesthetic mechanisms.
Projection neurons from the entorhinal cortex contact the dendrites of hippocampal CA1 PCs via both direct monosynaptic (entorhinal cortex [EC] to CA1 PC dendrite, the perforant path) and indirect (EC→ DG→ CA3→ CA1 via the mossy fibres and the Schaffer collaterals). This means that an action potential fired by a neuron in the EC will reach the CA1 neuron twice, but one of the signals will have been delayed and processed in the DG and the CA3 region. This has important functional consequences (see below). Some anatomists argue that the perforant path is such a distinguishing anatomic characteristic that without a topologically identical fibre system there can be no hippocampus-like structure.30,31
The CA3 PCs excite CA1 PCs and also excite each other via recurrent excitatory connections. This autoassociative network is thought to enable associative representations and pattern completion, elemental processes underlying declarative memory. For a typical CA3 PC, the number of recurrent synapses far exceeds that of all other excitatory inputs.
The target of this duplicate excitatory input (the CA1 PCs) sends excitatory projections to the EC both directly and via the subiculum, closing the re-entrant (computational!) loop with the cortex.
Multiple other connections to the hippocampus exist. Those from the diencephalon (septum, mammillary bodies, and diagonal band of Broca) are critical for synchronizing the hippocampal network.
Sequential, recurrent, and re-entrant excitatory connections have the propensity to create runaway excitation. However, through tight control by intricate multifaceted inhibitory networks, excitation can be harnessed into useful computation. Since these powerful excitatory loops are notorious for becoming unbalanced, the medial temporal lobe has become the preferred substrate for in vitro studies of epilepsy and the target of surgical attempts to cure this disease. In the healthy brain, a complex array of inhibitory loops consisting of diverse specialized interneurons precisely controls the balance and timing of excitation and inhibition.
Software I: cell assemblies
Software II: oscillations
The neuronal circuits of the HF interacting with the medial septum and multiple other structures give rise to prominent synchronized neuronal activity patterns that generate extracellular field potentials that coalesce into the electroencephalographic signature of the hippocampus. The best-characterized rhythms are the θ-rhythm (4-10 Hz), which is strongly associated with exploratory activity (typically locomotion) and rapid eye movement (REM) sleep, and the γ-rhythms (low γ = 30-70 Hz; high γ = 80-140 Hz), which are thought to “bind” together the elements of a mental representation into a unitary percept. Other prominent but less periodic patterns are associated with immobility, consummatory behaviour, and slow-wave sleep, including large-amplitude irregular activity (LIA) and small-amplitude irregular activity (SIA). The LIA and SIA, which might be considered “idling” rhythms, are interrupted regularly by a brief (40-120 msec) highly synchronous discharge of CA3 PCs, the sharp wave (SW). Coincident with the SW, 180-220 Hz “ripples” occur in the CA1 region, reflecting rapid firing of CA1 interneurons and synchronous discharge of pyramidal neurons.32 Together they are collectively referred to as sharp wave-ripple complexes (SW-R). Similar highly synchronous and brief discharges can be recorded from the DG and are referred to as dentate spikes.
The program: remembering the past, imagining the future
Different theories exist as to the evolutionary origin of declarative memory. G. Buzsaki proposes that the two components of declarative memory, episodic and semantic, evolved from computational solutions for the demands of navigation on a linear track and in a two-dimensional space, respectively. H. Eichenbaum argues that a multimodal relational memory system, which also proves useful for navigation, was at the origin. Be that as it may, the result in the modern mammalian brain is a flexible memory system capable of rapid storage and retrieval of information that exhibits associativity and can be used inferentially in novel situations, and whose episodic (i.e., sequential) representations of time and space can be woven into multimodal semantic memories that, with the passage of time, become independent of the hippocampus.
The hippocampus implements the declarative memory program in three subroutines that can be allocated to its three macroscopic anatomical components. The internal clocks binding the system together and serving as a reference mechanism for internal (and external) synchronization are the θ-rhythm, which is highly coherent throughout the medial temporal lobe, and the γ-rhythms, which synchronize firing in the entorhinal cortex and CA1 (high γ) or CA3 and CA1 (low γ), as the task demands dictate.33,34
Subroutine 1 – granule cells of the dentate gyrus (DG-GCs)
In accordance with theoretical predictions, selective lesions of the DG-GCs or genetic-based impairment of LTP in DG-GCs in experimental animals does not affect overall spatial learning but rather impairs the ability to differentiate between similar-appearing contexts.35,36 This process, commonly referred to as disambiguation or pattern separation, is thought to be accomplished through a transformation of perforant path input from the EC into a sparse orthogonal representation in which minor differences are amplified and information can be efficiently stored and recalled by the autoassociative circuitry in the CA3 region. The theoretical predictions are in agreement with experimental results showing NMDA receptor-dependent pattern separation in DG and CA3.35,37
Subroutine 2 – CA3: pattern completion, autoassociation
The prominent recursive wiring of the CA3 region enables not only storage of episodic patterns but also retrieval of a whole representation based on only a fragment of the original. The current thinking is that, due to the extensive recurrent innervations, the bilateral CA3 areas function as a single computational space that can allow associations between inputs (i.e., information) originating from parts of the neocortex that are widely separated both physically and functionally.
Subroutine 3 – CA1: mismatch detection
The duplicate excitatory input to CA1 PCs via perforant path and Schaffer collaterals supports a task that is essential for survival, i.e., detection and reaction to novelty in the environment. By comparing stored representations (retrieved in CA3 based on partial cues) with current sensory input from the EC, the CA1 region functions as an associative match-mismatch processor.38,39 This processing is implemented by providing differential responses of a given CA1 PC to excitation from the EC alone vs excitation from EC and CA3. The sequential CA3-EC input effectively leads to action potential firing if it occurs within 40-60 msec, i.e., within less than half a θ-cycle.40
The HF online: keeping time with the θ-clock
The presence of θ-rhythm signals that the hippocampus is on-line. This is typically the case whenever the experimental animal is actively exploring its environment, constructing a cognitive map by registering multimodal cues, and forming associations between them. The rhythmic, almost sinusoidal, fluctuation in the extracellular field potential reflects the rhythmic nature of the afferent inputs from the entorhinal cortex and septum, which entrain a circuit that has a propensity to oscillate at this frequency.
Two types of θ-rhythm with different behavioural correlates have been identified based on pharmacologic, physiologic, and genetic means. They are thought to reflect the presence of at least two θ-generators.41 “Type 1”, urethane-sensitive θ-rhythm, occurs during exploratory behaviour and is associated with strong input from the entorhinal cortex via the perforant path connection to the distal dendrites. “Type 2”, atropine-sensitive θ-rhythm occurs during alert immobility and is associated with strong input from the CA3 region and septum. θ-frequency and θ-power as well as its synchronization with other neuronal activity both within and outside of the hippocampus (notably the prefrontal cortex) change dynamically with the behavioural state and the cognitive demands faced by the subject.
The function of the θ-rhythm has been the subject of much debate. It is now generally accepted that it plays a role in the mnemonic function of the hippocampus (but see42 for a different view). In most general terms, θ is thought to serve as an endogenous clock that provides computational windows of synchrony at a frequency of approximately 7-8 Hz in a rat (baseline θ-frequency varies slightly between species). Within these windows, synchronous multimodal elements of a memory trace, represented by the firing of multiple neuronal assemblies, can be related to each other by their relationship to the phase of the θ-oscillation (Fig. 3). Each θ-cycle (approximately 150 msec in duration) can be envisaged as a temporal envelope holding together multiple bits of correlated information (like a chunk of DNA between start and stop codons). The different bits of information, each a neuronal assembly that forms a coherent representation, are carried by smaller envelopes, the nested γ-oscillations. These γ-oscillations, seven of which fit into a θ-cycle,43 provide briefer (~20 msec) windows of synchrony. This θ-γ-nesting (fluctuations of γ-power as a function of θ-phase) illustrates the intricate interrelationship of neuronal activity on various temporal scales.
A recent computational model, created based on detailed anatomical and physiological studies but also with direct experimental support,33,34,44 proposes that the θ-rhythm allows for the rapid switching between conditions that are optimal for memory encoding vs memory retrieval. Strong input from the EC arrives at distal dendrites of CA1 neurons during the trough, whereas strong input from the CA3 region arrives at the peak of the theta wave (peak and trough are referenced to a recording from the hippocampal fissure). Coupled with the θ-phase-dependent propensity for initiating LTP or LTD, effective encoding of new associations occurs optimally when input from EC is strong and LTP of CA3-to-CA1 synapses is most likely, thereby permitting new associations to be encoded effectively without interference from prior learned associations. By contrast, retrieval is optimal when afferent excitation from EC is weakest, and depotentiation of CA3-to-CA1 synapses during this window allows extinction of prior learned associations that do not match current input.
The HF offline: consolidating and archiving
When an animal is not actively exploring or planning to explore, the θ-rhythm is replaced by irregular activity of variable amplitude (LIA and SIA) of unclear functional significance. This asynchronous activity is interrupted by SW-Rs, the most synchronous collective events of the hippocampus that are now recognized to play an important role in learning and memory. Firing patterns triggered by recent exploratory experiences (e.g., place cell assemblies firing while the animal runs through a maze) are repeated during SW-R on a compressed time scale, thus reinforcing the connection between them (plasticity) and, as the SW-R leaves the HF, exporting this information from the hippocampus into the cortex.45,46
θ-oscillations and sharp waves can be thought of as “companion processes”: the former synchronizes the input pathways to the hippocampus, whereas the latter reflects the organized output from the hippocampus back to cortical structures, replaying and transferring information kept in the hippocampus for more permanent storage in the cortex.47,48
Anesthetic disruption of hippocampal function: static, dynamic, or both?
For some drugs, including diazepam and etomidate, there is now good evidence that their ability to induce amnesia arises by way of GABAA receptor modulation. In the case of etomidate, which critically depends on α5 subunit modulation, this may well occur primarily within the hippocampus itself.20,49,50 Other drugs, such as inhaled anesthetics, may work, at least in part, by this mechanism as well. If so, precisely how does receptor modulation translate to memory impairment?
There are two possible scenarios, which we will term “static” and “dynamic”. For the “static” scenario, the ability of repetitive stimuli (such as a 100 Hz stimulus train) to elicit synaptic plasticity may be suppressed by tilting the balance of synaptic input away from depolarization (excitation) and toward hyperpolarization (inhibition), thus preventing activation of NMDA receptors, calcium entry, and the ensuing cascades that result in LTP. In this regard, the characteristics of GABAA,slow inhibitory postsynaptic currents (IPSCs) are well-suited for this role. Like excitatory synapses, they are localized to the dendrites, and like NMDA receptors, they exhibit a long-lasting conductance. Alternatively, tonic inhibitory influences, which resist depolarization and are sensitive to low drug concentrations, and fast somatic inhibitory synapses, which prevent action potential generation and backpropagation, may also contribute. Perhaps the different mechanisms come into play under different protocols or learning paradigms.
The “dynamic” scenario invokes a more indirect anesthetic action. Since the orchestration of activity by endogenous rhythms in the hippocampus is thought to be essential to its ability to learn and recall activity patterns, might anesthetic-induced amnesia arise from a disruption of some critical aspect of timing required for proper mnemonic function? The type of plasticity an incoming signal elicits in the hippocampus depends on the phase of the θ-oscillation that the signal encounters.51,52 Hence, a change in θ-frequency without adjustment of the incoming signalling might interfere with plastic changes underlying memory formation – either preventing its initiation or rendering it too short-lived to support long-term memory storage. Hippocampal interactions with the prefrontal cortex, another important memory-related structure, are also coordinated by the θ-rhythm,53,54 with actual information transfer possibly carried by SW-R that require synchronization with cortical rhythms to lay down or reinforce memory traces.46 Disruption of this fine-tuned cross-frequency dialogue between the hippocampus and other parts of the brain involved in memory formation, consolidation, and storage degrades mnemonic function.55,56 The little evidence that exists to date indicates that anesthetics do not completely eliminate oscillations. However, subtle forms of interference, for example, through changes in θ-frequency,57 θ-power, θ-γ-nesting, SW-R etc., may all contribute to amnesia via anesthetic actions on a variety of molecular targets.
Anesthetics’ profound interference with behaviour, as witnessed every day in thousands of operating rooms worldwide, is by and large taken as a given instead of the awe-inspiring phenomenon that it truly represents. We and others in the research community perceive that the recognition that anesthesia is not a unitary behavioural state, paired with the capacity of anesthetics to dissociate memory from consciousness, offer an opportunity to gain insight into the workings of the human brain. We hope that this brief primer on the “memory machine” will stimulate the interest of some readers in the mechanisms of anesthetic action.
CA1 to CA3: subdivisions of the hippocampus.
Dentate gyrus: part of the hippocampal formation. Granule cells in the dentate gyrus are the first elements of the excitatory trisynaptic circuit.
Entorhinal cortex: high-order associational cortex that provides the primary entry port of highly processed information from the cortex to the hippocampus.
GABA: γ-aminobutyric acid, principal inhibitory neurotransmitter in the mammalian central nervous system. It activates both ionotropic (GABAA) and metabotropic (GABAB) receptors.
Glutamate: principal excitatory neurotransmitter in the mammalian central nervous system. It activates both ionotropic (AMPA and NMDA) and metabotropic (mGluR) receptors.
Interneurons: also termed local circuit neurons. The prototype interneuron is inhibitory (e.g., GABA-ergic) and does not project outside its brain area (but important exceptions exist).
Ionotropic: receptor/channel that becomes permeable to ions when activated.
Metabotropic: receptor that activates a cascade of 2nd messengers when activated.
NMDA receptors: subtype of glutamate-activated receptors for which n-Methyl-d-Aspartate is a selective (synthetic) agonist.
Pyramidal cell: The principal cells of the hippocampus and neocortex. Pyramidal cells project to other brain regions using the neurotransmitter glutamate.
Supported by NIH grants GM55719 (MP, RAP) and NS056411 (RAP) and by the Department of Anesthesiology, University of Wisconsin-Madison and the Ralph M. Waters MD endowed professorship (RAP).