Cholinergic modulation of hippocampal network function
- Centre for Synaptic Plasticity, School of Physiology and Pharmacology, University of Bristol, University Walk, Bristol, UK
Cholinergic septohippocampal projections from the medial septal area to the hippocampus are proposed to have important roles in cognition by modulating properties of the hippocampal network. However, the precise spatial and temporal profile of acetylcholine release in the hippocampus remains unclear making it difficult to define specific roles for cholinergic transmission in hippocampal dependent behaviors. This is partly due to a lack of tools enabling specific intervention in, and recording of, cholinergic transmission. Here, we review the organization of septohippocampal cholinergic projections and hippocampal acetylcholine receptors as well as the role of cholinergic transmission in modulating cellular excitability, synaptic plasticity, and rhythmic network oscillations. We point to a number of open questions that remain unanswered and discuss the potential for recently developed techniques to provide a radical reappraisal of the function of cholinergic inputs to the hippocampus.
Neuromodulation is a feature of complex nervous systems that is proposed to play an essential role in behavior allowing anatomically defined neural circuitry to be re-purposed, thereby enabling rapid adaptation in response to external stimuli (Katz, 2011; Marder, 2012). Neuromodulation is achieved through the orchestrated activity of an ensemble of central modulators; acetylcholine, serotonin, dopamine, norepinephrine, and numerous neuropeptides are released in response to specific stimuli and have long-lasting, and often long-range, diffuse effects on central processing.
The neuromodulator acetylcholine has been extensively studied due to its prominent role in attention, learning, and synaptic plasticity (Everitt and Robbins, 1997; Hasselmo, 2006; Micheau and Marighetto, 2011). Acetylcholine is also implicated in the etiology of neurological disorders such as Alzheimer's disease (Bartus et al., 1982; Raedler et al., 2007; Schliebs and Arendt, 2011), which has led to targeting of the cholinergic system for the development of cognitive enhancers such as acetylcholinesterase inhibitors to combat dementia. Given the central role the hippocampus plays in declarative memory formation and the strong cholinergic input to the hippocampus from the septohippocampal pathway, it is tempting to hypothesize that this input is critical for memory processes (Dutar et al., 1995; Hasselmo, 2006; Drever et al., 2011). However, evidence to support this hypothesis is inconclusive. For example, functional studies have provided conflicting information on the effects of damage to the septohippocampal cholinergic system (Kelsey and Landry, 1988; Lee et al., 1994; Dutar et al., 1995; McMahan et al., 1997; McGaughy et al., 2000; Lecourtier et al., 2011). Not all studies show lesions to the septohippocampal pathway, and the consequent loss of cholinergic neurons, to be associated with deficits in memory functions usually associated with aging-related disabilities or neurodegenerative diseases (Fibiger, 1991; Muir, 1997; Davis et al., 1999; McGaughy et al., 2000; Micheau and Marighetto, 2011; Schliebs and Arendt, 2011) Similarly, pharmacological or genetic inhibition of acetylcholine receptors cause memory deficits but it is often unclear which receptor subtypes are involved and which part of the brain they are located in De Rosa and Hasselmo (2000); Anagnostaras et al. (2003); Warburton et al. (2003); Atri et al. (2004); Wess (2004). The recent generation of conditional knockout mice may resolve some of these issues (Wess, 2012).
Septohippocampal cholinergic fibers ramify extensively throughout the hippocampus with release sites often occurring without identified apposite postsynaptic entities. This supports the concept of a diffuse projection engaged in long-lasting effects (Vizi and Kiss, 1998; Zoli et al., 1999). However, high resolution information on the spatial and temporal profile of acetylcholine release in the hippocampus during awake behavior is not currently available making it hard to define specific functions of acetylcholine release. Recent high resolution measurements of acetylcholine release in the cortex have demonstrated that release may be precisely timed (Parikh et al., 2007; Howe et al., 2013), leading to a reappraisal of the role of acetylcholine in network function.
Synaptic plasticity is often considered the cellular and molecular correlate of learning and memory. In this context, electrophysiological data for the role of acetylcholine in hippocampal synaptic plasticity is also mixed. Under a variety of in vitro and in vivo conditions, acetylcholine either facilitates or directly causes hippocampal long-term potentiation (LTP) or depression (LTD) (Markram and Segal, 1990c; Leung et al., 2003; Ovsepian et al., 2004; Shinoe et al., 2005; Isaac et al., 2009; Buchanan et al., 2010; Jo et al., 2010; Gu and Yakel, 2011; Sugisaki et al., 2011), implicating a role for cholinergic input in synaptic plasticity but leaving open the questions of exactly how and by what mechanisms.
In addition to a role in synaptic plasticity, it has been proposed that cholinergic septohippocampal projections are critical for generating (Buzsaki et al., 1983; Bland and Colom, 1993) and phasing hippocampal theta and gamma oscillatory activity (Stewart and Fox, 1990; Lee et al., 1994; Bland et al., 1999; Buzsaki, 2002), therefore playing a pivotal role in processes associated with learning and memory consolidation (Buzsaki, 2005; Lecourtier et al., 2011). Although there are strong correlations between behavioral state, rhythmic network oscillations and cholinergic input to the hippocampus (Zhang et al., 2010, 2011), the mechanisms underlying these processes remain unclear.
The intimate relationship between neuronal activity, brain oscillations and cholinergic neuromodulation has probably been a hindering factor to the dissection of roles played by the septohippocampal cholinergic system in modulating theta and gamma oscillations, synaptic plasticity, and memory formation in the hippocampus. To make a detailed analysis of these roles we require tools that allow specific interventions and measurement of cholinergic function.
Anatomical Organization of the Septohippocampal Pathway
The function of neuromodulatory systems is largely defined by the anatomy of their projections. The septohippocampal pathway is the main source of cholinergic innervation to the hippocampus (Lewis and Shute, 1967; Dutar et al., 1995) and has been anatomically mapped with its afferent and efferent projections, and respective cellular targets, characterized in detail. The principal divisions of the septal area include the medial and lateral septal nuclei and the nucleus of the diagonal band of Broca (DBB), which is further subdivided into vertical and horizontal limbs. Via the fimbria and dorsal fornix, the hippocampus is reciprocally connected to the medial septum forming a single continuous anatomical structure with functionally coupled components. Studies combining retrograde tracing, lesions, and immunocytochemistry demonstrated that the septohippocampal projection is topographically organized along the mediolateral and rostrocaudal axes—laterally located nuclei project ventrally whereas rostral neurons extend their axons rostrally into the hippocampus (Meibach and Siegel, 1977; Sakanaka et al., 1980; Amaral and Kurz, 1985) (Figure 1). Within the hippocampal formation, the CA fields and the dentate gyrus are innervated by septal fibers in a laminar pattern. The CA1 pyramidal and dentate granule cell layers in the dorsal hippocampus receive inputs from neurons located along the midline of the vDBB; cells located immediately lateral to the midline of the DBB project through the medial part of the fimbria to all CA fields of the caudal region of the hippocampus; finally, cells in the ventral hippocampal formation are supplied by both the DBB and the intermediolateral septum (McKinney et al., 1983; Nyakas et al., 1987) (Figure 1).
Figure 1. (A) Schematic representation of the reciprocal connections between the septum and the hippocampus. In the coronal (left) and saggital (right) views, triangles represent connections from the septum to the hippocampus and squares represent connections from the hippocampus to the septum. Color-code specifies sub-regions where cell bodies are located and where axonal projections terminate. Abbreviations: LSc, lateral septum caudal; LSr, lateral septum rostral; LSv, lateral septum ventral; MS, medial septum; vDBB, vertical band of the diagonal band of Broca; hDBB, horizontal band of the diagonal band of Broca. (B) Connections between glutamatergic, cholinergic and GABAergic neurons in the septohippocampal pathway. Abbreviations: Glu, glutamate; ACh, acetylcholine; LS, lateral septum; MS-DBB, medial septum-diagonal band of Broca; so, stratum oriens; sp, stratum pyramidale; sl, stratum lucidum; sr, stratum radiatum; slm, stratum lacunosum-moleculare.
The degree of target cell specificity observed in septohippocampal neurons is dependent on their neurotransmitter content. Septohippocampal projections encompass immunohistochemically distinct cholinergic, GABAergic and glutamatergic neurons (Freund and Antal, 1988; Pepeu and Blandina, 1998; Manns et al., 2001; Gritti et al., 2006; Lecourtier et al., 2011). In addition, co-synthesis of glutamate in cholinergic and GABAergic neurons has also been reported (Manns et al., 2001; Gritti et al., 2006). Medial septal cholinergic terminals project to all regions of the hippocampus (Milner et al., 1983; Amaral and Kurz, 1985), targeting the stratum oriens of CA1 and CA3 subfields (Houser et al., 1983; Frotscher and Leranth, 1985; Matthews et al., 1987), where synaptic contacts are established with dendrites of pyramidal cells (Wainer et al., 1984), as well as cell bodies and dendrites of GABA- and somatostatin-containing interneurons (Frotscher and Leranth, 1985; Leranth and Frotscher, 1987; Yamano and Luiten, 1989; Cobb and Davies, 2005) and dentate granule cells (Nyakas et al., 1987). With a higher degree of target cell-type specificity, medial septal GABAergic fibers terminate on vasoactive intestinal polypeptide (VIP)-immunoreactive interneurons in strata pyramidale and lacunosum-moleculare of the CA1 (Papp et al., 1999) and on calretinin- and neuropeptide Y-immunoreactive GABAergic interneurons in the stratum radiatum of the CA1 and stratum lucidum of CA3 (Freund and Antal, 1988; Gulyas et al., 1990; Acsady et al., 1993; Takacs et al., 2008). Inhibitory inputs have also been shown to terminate on cholecystokinin-, somatostatin- and parvalbumin-containing neurons in the stratum oriens (Freund and Antal, 1988; Yamano and Luiten, 1989; Gulyas et al., 1990; Takacs et al., 2008). Medial septal glutamatergic neurons projecting to the hippocampus have recently been shown to provide functional excitatory inputs to CA3 pyramidal cells (Sotty et al., 2003; Manseau et al., 2005; Huh et al., 2010).
On the reciprocal side of the septohippocampal pathway, pyramidal and non-pyramidal cells from the CA1 project to the rostral and ventral parts of the lateral septum, whereas CA3 cells project to both the caudal part of the lateral septum and the MS-DBB in a topographical manner (Alonso and Kohler, 1982; Schwerdtfeger and Buhl, 1986; Leranth and Frotscher, 1989; Toth and Freund, 1992; Toth et al., 1993; Risold and Swanson, 1997; Gulyas et al., 2003; Thompson et al., 2008). The dorsal region of the CA3 innervates the dorsal and medial parts of the medial septum and the rostral and dorsal parts of the vDBB; conversely, axons of the ventral portion reach the lateral and ventral parts of the medial septum and the caudal and ventral parts of the vDBB (Gaykema et al., 1991).
Although to date our knowledge of intraseptal connectivity is limited, connections have been reported to include sparse GABAergic inputs from lateral to medial septal cholinergic neurons, reciprocal connections between medial septal cholinergic and GABAergic neurons and also glutamatergic neurons within the medial septum synapsing onto neighboring cholinergic and GABAergic neurons (Leranth et al., 1992; Hajszan et al., 2004; Manseau et al., 2005) (Figure 1).
This anatomical organization gives rise to the septohippocampal system, a long-range feedback loop between the hippocampus and medial septum. This feedback loop allows cholinergic, GABAergic and glutamatergic neuronal populations to interact and modulate rhythmic activity and synaptic plasticity in the hippocampus.
Questions: Although the anatomy of the septohippocampal cholinergic projection is well characterized, we know little about the functional output of these neurons. For example, can the septohippocampal cholinergic system be viewed as a single unit providing diffuse innervation of the hippocampus or are cholinergic neurons independent, targeting acetylcholine release to discrete cell types in specific areas of the hippocampus? What are the firing patterns of medial septal cholinergic neurons during different behavioral states? What are the functions of intraseptal connections? Is there interplay between intraseptal connections and afferent hippocampal inputs to regulate medial septal firing patterns?
To understand the function of acetylcholine in the hippocampus it is necessary to know not only where it is released, but also the location and subtype of receptors it binds to and the effect of receptor activation on cellular and synaptic properties. Acetylcholine release within hippocampal circuits results in the activation of both muscarinic (mAChRs) and nicotinic (nAChRs) acetylcholine receptors, causing the subsequent modulation of cellular excitability and synaptic transmission. These two types of receptors are differentially expressed across the hippocampus (Table 1) and fulfill different functions.
Nicotinic acetylcholine receptors are ionotropic pentameric receptors made up of heteromeric or homomeric assemblies of α2−α10 and β2−β4 subunits. In the hippocampus, the nAChR subtypes predominantly expressed are α7, α4β2, and α3β4 (Dani and Bertrand, 2007; Albuquerque et al., 2009; Drever et al., 2011). α7 receptors are widely expressed in dentate granule cells, pyramidal cells and interneurons both pre- and postsynaptically (Fabian-Fine et al., 2001). However, fast α7-mediated synaptic currents have principally been shown to occur in interneurons and not in excitatory neurons (Frazier et al., 1998; Ji and Dani, 2000; Alkondon and Albuquerque, 2001; Kawai et al., 2002) although one study reports limited evidence in CA1 pyramidal neurons (Gu and Yakel, 2011). α4β2 receptors are expressed on interneuron axons terminating on excitatory and inhibitory neurons (Hill et al., 1993; Alkondon et al., 1999; Alkondon and Albuquerque, 2001; Graham et al., 2003; Bell et al., 2011). α3β4 receptors are expressed at inhibitory synapses contacting pyramidal neurons (Tang et al., 2011).
Activation of nAChRs results in direct Ca2+ influx through the channel pore and rapid membrane depolarization. The precise Ca2+ permeability of receptors depends on the subunit composition with α7 being the most permeable. Ca2+ accumulation in presynaptic terminals facilitates neurotransmitter release (Lena et al., 1993; McGehee et al., 1995; Wonnacott, 1997; Fu et al., 1998; Tang et al., 2011). Postsynaptically, cation flux through nAChRs mediates fast excitatory synaptic responses (Frazier et al., 1998; McQuiston and Madison, 1999; Ji and Dani, 2000; Alkondon and Albuquerque, 2001; Kawai et al., 2002; Wanaverbecq et al., 2007; Bell et al., 2011; Gu and Yakel, 2011; Tang et al., 2011). Fast membrane depolarization triggers activation of voltage-gated Ca2+ channels, second messenger systems involving cAMP (Margiotta et al., 1987; Sargent, 1993) and release from intracellular stores (Vijayaraghavan et al., 1992; Sharma and Vijayaraghavan, 2003). Calcium entry through nAChRs is also sufficient to activate Ca2+-dependent chloride conductances (Mulle et al., 1992; Vernino et al., 1992), which oppose the depolarization caused by nAChR opening. The differential expression of nAChRs coupled with the sequence of excitatory, followed by inhibitory, responses may underlie the ability of nAChRs to differentially modulate neuronal excitability, depending on the target cell, and the strength and timing of the cholinergic input (Frazier et al., 1998; Ji and Dani, 2000; Alkondon and Albuquerque, 2004).
mAChRs are seven transmembrane domain metabotropic receptors and include five pharmacologically defined isoforms—M1–M5 (Caulfield and Birdsall, 1998). Muscarinic receptors are coupled either to Gq/11 proteins (M1, M3, and M5) or Gi/o proteins (M2 and M4). Differences in G-protein coupling preferences lie within an amino acid sequence divergence in the third intracellular loop between the M1/M3/M5 sequences compared with the M2/M4 sequences (Wess et al., 1997). In the hippocampus, M1 receptors are widely expressed in somata and dendrites of pyramidal neurons and granule cells, with a small fraction expressed on axons and terminals (Yamasaki et al., 2010). Some studies have also reported expression in interneurons (Cea-Del Rio et al., 2010, 2011). M2 receptors are expressed in fibers surrounding pyramidal cells, with the highest density of expression found presynaptically in GABAergic terminals projecting onto the perisomatic region of pyramidal cells (Raiteri et al., 1984; Levey et al., 1995; Hajos et al., 1998; Szabo et al., 2010). There is also immunohistochemical evidence that M2 receptors are found postsynaptically in dendrites and cell bodies of interneurons in the stratum oriens and alveus of CA1 (Rouse et al., 1997). M3 receptors are expressed at low levels in pyramidal cells and interneurons (Levey et al., 1995; Lawrence et al., 2006; Cea-Del Rio et al., 2010, 2011), whereas M4 receptors are enriched in non-pyramidal neurons and in glutamatergic terminals (Levey et al., 1995). M5 receptors are only detected at very low levels in the hippocampus (Levey et al., 1995).
In contrast to the fast response produced by activation of nAChRs, mAChR-mediated transmission is slow, owing to their dependence on G-protein-coupled signaling mechanisms (Madison et al., 1987). As a consequence of their pre- and postsynaptic location, muscarinic receptors can have diverse impacts on neuronal activity, influencing the net effect of acetylcholine action. Presynaptic Gi/o coupled mAChRs (M2, M4) cause inhibition of voltage-gated Ca2+ channels, a decrease in cAMP-mediated signaling and inhibition of neurotransmitter release at cholinergic, GABAergic and glutamatergic terminals (Zhang et al., 2002; Szabo et al., 2010; Dasari and Gulledge, 2011). Conversely, Gq/11 coupled postsynaptic mAChRs (M1, M3, M5) potentiate NMDA currents (Markram and Segal, 1990c; Marino et al., 1998; Fernandez De Sevilla et al., 2008), modulate voltage-dependent Ca2+ currents (Toselli et al., 1989) and upregulate phopholipase C, inositol trisphosphate and intracellular Ca2+ (Power and Sah, 2002; Gulledge and Kawaguchi, 2007). Gq/11 coupled mAChRs also inhibit potassium conductances including M-current and currents underlying both medium and slow afterhyperpolarization (AHP), causing membrane depolarization and increasing input resistance (Brown and Adams, 1980; Halliwell and Adams, 1982; Cole and Nicoll, 1984; Madison et al., 1987; Buchanan et al., 2010; Giessel and Sabatini, 2010). These receptors are also reported to potentiate the hyperpolarization-activated cation current (Ih) (Colino and Halliwell, 1993; Fisahn et al., 2002), transient receptor potential (TRP) current (Doerner et al., 2011) and Ca2+-dependent non-specific cation current (Icat) (Colino and Halliwell, 1993; Fisahn et al., 2002). Interestingly, both mAChRs and nAChRs may also be present on astrocytes leading to intracellular Ca2+ rises and neurotransmitter release that can modulate synaptic transmission and plasticity in the hippocampus (Sharma and Vijayaraghavan, 2001; Takata et al., 2011; Shen and Yakel, 2012).
The wide range of receptor subtypes and their localization at both pre- and postsynaptic sites on both excitatory and inhibitory neurons enables the cholinergic system to modulate cellular, synaptic and network activity in the hippocampus. Integrating the functional contribution of fast nicotinic- and slower muscarinic-mediated responses may allow acetylcholine to influence the dynamic properties of hippocampal networks over multiple timescales, creating optimal time windows for the induction of synaptic plasticity and resulting in the emergence of stable oscillatory ensembles, both of which play important roles in hippocampal information processing and memory formation.
Questions: Why are individual acetylcholine receptor subtypes targeted to specific cellular and subcellular locations? Can different patterns of cholinergic afferent input differentially recruit separate receptor populations and cell types? What role does each receptor subtype perform in hippocampal function? What is the overall effect of acetylcholine acting on nicotinic and muscarinic receptors on hippocampal network function?
Volume vs. Wired Transmission
In addition to the anatomical organization of septohippocampal cholinergic projections, it is important to understand the spatiotemporal release and kinetic profiles of acetylcholine within the hippocampus. This has been broadly characterized into wired and volume transmission.
Wired neurotransmission is defined as intercellular communication occurring through a well-defined structure where chemical synapses are adapted to transmit signals through a cascade of events, which result in the activation of ion channels located on the postsynaptic membrane. In this model, the presence and high catalytic activity of acetylcholinesterase (AChE) restricts neurotransmission to classic synapses or junctional complexes. Following axon terminal depolarization, neurotransmitter release and binding to nicotinic and muscarinic acetylcholine receptors, acetylcholine is rapidly hydrolyzed by AChE to yield choline and acetate. Choline is then transported back into the terminal by high-affinity choline transporters to be resynthesized into acetylcholine by the enzyme choline acetyltransferase (ChAT).
Conversely, volume transmission is characterized by multiple extracellular pathways through which signals can diffuse in a three-dimensional fashion and activate extrasynaptic receptors. In this case, presynaptic cholinergic terminals do not make synaptic contacts and therefore do not face a defined postsynaptic density (Vizi and Kiss, 1998; Zoli et al., 1999). As a result, neurotransmission is mediated by acetylcholine that escapes initial hydrolysis by AChE, reaches the extracellular space and stimulates non-junctional nAChRs and mAChRs (Sarter et al., 2009). Importantly, volume and wired transmission are not mutually exclusive.
Septohippocampal cholinergic fibers have been classified into thick, myelinated axons with large terminal boutons present in the hippocampal stratum oriens, stratum radiatum, stratum launosum-moleculare, dentate hilus, and infragranular zone of the dentate gyrus; and thin, unmyelinated varicose fibers found in the hippocampal pyramidal cell layer, dentate granular and molecular layers (Nyakas et al., 1987; Gaykema et al., 1991). The observation that the majority (80–90%) of axon terminals are diffusely organized (Descarries et al., 1997) and do not associate with distinct postsynaptic sites (Houser et al., 1983; Wainer et al., 1984; Frotscher and Leranth, 1985; Vizi and Kiss, 1998) led to the hypothesis that cholinergic transmission in the hippocampus is primarily mediated by volume transmission. Thus, activity of cholinergic projections to the hippocampus was proposed to set a cholinergic “tone,” resulting in an extracellular ambient level of acetylcholine (Descarries, 1998) estimated to be in the low nanomolar range (Vinson and Justice, 1997) although transient concentrations can reach the high nanomolar to low micromolar range (Parikh et al., 2007; Zhang et al., 2010).
Until recently acetylcholine concentrations were measured using microdialysis techniques which have temporal resolutions limited to the minute timescale. As a consequence, the characterization of changes in acetylcholine release associated with brain states were temporally limited, giving rise to the reductionist classification of either “high” or “low” levels of acetylcholine (Marrosu et al., 1995; Yamamuro et al., 1995; Pepeu and Giovannini, 2004; Gold et al., 2011). Improved amperometric techniques now allow for the measurement of acetylcholine concentrations on faster sub-second timescales and have revealed that acetylcholine concentrations in the cortex can fluctuate rapidly with changes in behavioral state (Parikh et al., 2004, 2007; Burmeister et al., 2008; Mattinson et al., 2011; Howe et al., 2013; Paolone et al., 2013). Although acetylcholine concentrations appear to increase during theta oscillations in the hippocampus of anaesthetized rats, it is not clear whether the increase in hippocampal acetylcholine concentration is accompanied by an increase in firing of medial septal cholinergic neurons (Simon et al., 2006; Zhang et al., 2010, 2011) and whether this is tightly correlated with changes in oscillatory activity during the performance of hippocampal-dependent memory tasks.
Questions: What concentrations of acetylcholine are found in the hippocampus? How do they fluctuate during behavior and on what timescale? Are different roles played by volume and wired cholinergic transmission? At which acetylcholine concentrations will distinct types of acetylcholine receptors be activated?
Role of the Septohippocampal Pathway in Rhythmic Network Oscillations
Oscillatory activity is a network phenomenon generated by feedback connections that occur throughout the brain. The connectivity pattern of the hippocampus and medial septum local networks, together with reciprocal connections between the structures, gives rise to the septohippocampal feedback loop. The structural features of this network and the regulation of intrinsic electrophysiological properties of the neuronal populations by acetylcholine are intimately related with the control of hippocampal rhythmic oscillations.
Theta frequency oscillations (4–12 Hz) are particularly prominent in the hippocampus. Two types of hippocampal theta oscillations have been defined—type 1 (7–12 Hz) is associated with voluntary movement and exploratory behavior, whereas type 2 (4–6 Hz) is present during immobility, in particular REM sleep, and occurs spontaneously during urethane anesthesia (Kramis et al., 1975). These two types of hippocampal EEG theta rhythm were distinguished by their relative sensitivities to treatment with atropine, a non-selective competitive antagonist for muscarinic acetylcholine receptors: type 1 was found to be atropine-resistant, whereas type 2 was abolished by atropine (Vanderwolf, 1975; Goutagny et al., 2008). This was consistent with data showing that lesions to septohippocampal neurons caused the loss of bursting activity in the medial septum (Apartis et al., 1998) and theta oscillations in the hippocampus (Rawlins et al., 1979; Colom, 2006). In vivo data has also described two types of medial septal rhythmically bursting neurons where, based on their sensitivities to mAChR competitive antagonists atropine or scopolamine, the rhythmicity of one cell type was abolished while the other was unaffected (Brazhnik and Vinogradova, 1986; Stewart and Fox, 1989b,c). The hypothesis that septohippocampal rhythmically bursting neurons were cholinergic and responsible for generating hippocampal theta oscillations was challenged by data showing that both types of theta have atropine-sensitive and resistant components (Brazhnik and Vinogradova, 1986; Stewart and Fox, 1989a). Although selective lesions specifically targeting septohippocampal cholinergic neurons did not completely abolish the two types of theta, the amplitude was significantly reduced, suggesting that cholinergic neurons play a role in regulating, rather than generating, hippocampal theta oscillations (Lee et al., 1994; Bassant et al., 1995; Apartis et al., 1998).
Electrophysiologically, the neuronal cell types populating the medial septum have been classified as slow-firing (~5 Hz) cholinergic, fast- and burst-firing (~10–18 Hz) GABAergic and fast- and cluster-firing (~8–14 Hz) glutamatergic neurons (Griffith and Matthews, 1986; Markram and Segal, 1990b; Jones et al., 1999; Morris et al., 1999; Sotty et al., 2003; Simon et al., 2006; Huh et al., 2010). This classification is consistent with immunohistochemical data and reverse transcription-PCR analysis correlating electrophysiological properties with ChAT, glutamic acid decarboxylase 67 (GAD67) and vesicular glutamate transporters (VGLUT1, VGLUT2) mRNA expression (Sotty et al., 2003). GABAergic neurons display bursting activity at theta frequency which is tightly coupled to hippocampal theta waves (Borhegyi et al., 2004; Bassant et al., 2005; Simon et al., 2006; Hangya et al., 2009). The burst firing of these neurons appears to be dependent on the activation of Ih, since blocking Ih abolishes medial septum interneuron burst firing and hippocampal theta oscillations (Xu et al., 2004). In contrast, the long-duration AHP and slow firing rates characteristic of medial septal cholinergic neurons limit their capacity for theta-related rhythmically bursting activity. Moreover, recordings from cholinergic neurons in vivo have so far provided conflicting data with no agreement as to whether cholinergic neurons increase their firing during periods of hippocampal theta activity (Simon et al., 2006; Zhang et al., 2010, 2011). These apparently contradictory features brought forward the question of what is the exact role played by the cholinergic component of the septohippocampal system in the generation of hippocampal theta rhythm. It is now widely accepted that both cholinergic and GABAergic inputs play a role in hippocampal theta oscillations. Medial septal burst-firing GABAergic neurons are key players in generating and maintaining hippocampal theta activity by pacing the activity of GABAergic hippocampal interneurons and, indirectly, of pyramidal cells (Freund and Antal, 1988; Toth et al., 1997; Yoder and Pang, 2005; Goutagny et al., 2008; Hangya et al., 2009). Slow-firing cholinergic cells, in turn, have been proposed to modulate the amplitude of theta (Lee et al., 1994; Apartis et al., 1998).
The mechanisms by which the cholinergic system modulates theta oscillations are not fully understood. M1/M3 mAChR activation has been shown to increase interneuron firing reliability and sharpen firing precision to theta frequency input, thereby tuning interneurons to amplify theta oscillations (Lawrence et al., 2006). On the other hand, nAChRs have been proposed to modulate pre-existing oscillatory states (Williams and Kauer, 1997; Cobb et al., 1999) by enhancing a slow calcium-dependent potassium conductance that reduces the firing of stratum oriens interneurons (Griguoli et al., 2009). As with any oscillatory network, innervation of GABAergic neurons of the lateral septum by CA1/CA3 principal cells and interneurons (Figure 1) is an essential component of the circuit to transmit rhythmic activity back to the septum (Wang, 2002; Manseau et al., 2008) and to provide a structural basis for feedback regulation of the inhibitory loop. Computational models suggest that this septohippocampal feedback loop relies on the interplay between nAChR- and mAChR- mediated activation and silencing of interneurons to time the occurrence of pyramidal cell activity and to phase theta oscillations during the process of information encoding (Markram et al., 1998; Buzsaki, 2002; Rokers et al., 2002; Wang, 2002; Hasselmo, 2006).
It is important to stress that although isolated hippocampal circuits can generate theta oscillations (Goutagny et al., 2009), hippocampal theta rhythm arises from the coupling of multiple autonomous theta oscillators. Inputs from the entorhinal cortex, activity of the recurrent network of CA3 pyramidal cells and intrinsic resonant properties of hippocampal neurons, all contribute significantly to hippocampal theta oscillations (Buzsaki, 2002; Goutagny et al., 2009). Furthermore, the spontaneous activity of medial septal neurons can be influenced by different inputs from the locus coeruleus, raphe nuclei, and hypothalamus (Segal, 1976; Wilson et al., 1976) suggesting that, in addition to acting as one of several extrinsic rhythm generators that work in concert to amplify and regulate intrinsic theta generators within the hippocampus, the medial septum may serve as a relay and pacemaker station of theta coming from different neighboring areas converging into the medial septum (Dutar et al., 1995). During exploratory behavior, and increased levels of acetylcholine (Marrosu et al., 1995), the synchronization of theta and gamma (30–100 Hz) oscillations has been observed in the hippocampus (Bragin et al., 1995; Csicsvari et al., 2003; Tort et al., 2009). The interaction between these two rhythms has been proposed to create the optimal conditions by which synchrony among neural networks supports synaptic changes necessary for memory formation, storage and retrieval in hippocampal circuits.
In hippocampal slice preparations, gamma oscillations can be induced by application of agonists of muscarinic acetylcholine receptors (Fisahn et al., 1998; Hajos et al., 2004; Mann et al., 2005), kainate receptors (Hajos et al., 2000; Brown et al., 2006), or metabotropic glutamate receptors (Palhalmi et al., 2004). Studies from knock-out mice suggest that the M1 receptors mediate cholinergically induced hippocampal gamma (Fisahn et al., 2002). However, it is not clear where these receptors are located (see section on acetylcholine receptors) or whether other mAChR or nAChR subtypes can modulate gamma oscillations.
Although medial septal neuronal populations contribute uniquely to hippocampal rhythmicity, they do so by working in concert with each other. One can therefore propose that the anatomical organization of the septohippocampal system and the interplay between cholinergic, GABAergic and glutamatergic neuronal activities underlie complex, time-dependent excitatory and inhibitory processes where the cholinergic system acts as a modulator of hippocampal theta and gamma oscillatory activity.
Questions: How do physiological fluctuations in acetylcholine concentration change the electrophysiological properties of hippocampal neurons? How do cholinergic inputs to the hippocampus modulate theta and gamma oscillations? Which acetylcholine receptors present on which cell types are critical for such modulation?
Cholinergic Regulation of Synaptic Transmission and Plasticity
To appreciate the role of acetylcholine in hippocampal network function we need to understand how acetylcholine regulates synaptic transmission. In the hippocampus, presynaptic acetylcholine receptors modulate neurotransmission in a cell type- and pathway-specific way. In vitro studies have demonstrated that acetylcholine can either suppress or enhance excitatory transmission in the hippocampus. Suppression of synaptic transmission at perforant path inputs (Kahle and Cotman, 1989; Foster and Deadwyler, 1992), recurrent CA3 connections (Hasselmo et al., 1995), Schaffer collateral pathway (Qian and Saggau, 1997; Dasari and Gulledge, 2011) and at the connections from CA1 to the subiculum (Kunitake et al., 2004), is achieved by activation of presynaptic mAChRs, most likely M1 and M4 (Kunitake et al., 2004; Dasari and Gulledge, 2011), that depress presynaptic voltage dependent Ca2+ channel activity (Qian and Saggau, 1997) but see (Scanziani et al., 1995). Some evidence is also provided for presynaptic M2 receptor-mediated enhancement of voltage-dependent potassium channel activity (Seeger and Alzheimer, 2001). Enhanced transmission results from presynaptic α7 nA ChR activation leading directly to Ca2+ influx (Radcliffe et al., 1999). Similarly, presynaptic acetylcholine receptors can also depress or enhance inhibitory transmission. Muscarinic M2 receptors inhibit evoked transmission at synapses between parvalbumin positive basket cells and pyramidal cells (Hajos et al., 1998; Szabo et al., 2010). Conversely, nicotinic α3β4 receptors enhance spontaneous transmission at the same synapses (Tang et al., 2011). Presynaptic α4β2 and α7 receptors also enhance transmission at inhibitory synapses (Alkondon et al., 1999; Alkondon and Albuquerque, 2001). Muscarinic M1 and/or M3 receptors also indirectly inhibit presynaptic release by enhancing synthesis of endocannabinoids and nitric oxide in pyramidal cells that activate CB1 receptors and guanylate cyclase on the terminals of cholecystokinin positive interneurons (Katona et al., 1999; Kim et al., 2002; Ohno-Shosaku et al., 2003; Makara et al., 2007). This is similar, and complementary, to the phenomenon of depolarization-induced suppression of inhibition (Pitler and Alger, 1994; Martin and Alger, 1999; Wilson and Nicoll, 2001; Wilson et al., 2001). As discussed in previous sections, cholinergic activity can also have a dramatic effect on the firing properties of CA1 and CA3 pyramidal cells. This may alter correlated spike activity during rhythmic network oscillations and consequently the induction of synaptic plasticity.
In addition to short-term changes in presynaptic neurotransmitter release, activation of acetylcholine receptors can induce LTP or LTD of synaptic transmission in the hippocampus in a dose dependent manner. Weak mAChR activation leads to LTP and strong mAChR activation to LTD by activation of intracellular signaling pathways (Markram and Segal, 1990c; Auerbach and Segal, 1994, 1996; Scheiderer et al., 2006; Fernandez De Sevilla et al., 2008; Jo et al., 2010).
As well as directly causing short- and long-term synaptic plasticity, cholinergic receptor activation modulates the induction of synaptic plasticity (Shimoshige et al., 1997; Leung et al., 2003; Ovsepian et al., 2004; Ge and Dani, 2005; Shinoe et al., 2005). The precise mechanism and direction of modulation may depend on acetylcholine concentration, the timing of its release, exposure time and the temporal sequence of nAChRs and mAChRs activation in relation to ongoing neuronal activity (Fujii and Sumikawa, 2001; Ge and Dani, 2005; Gu and Yakel, 2011; Gu et al., 2012). A number of mechanisms have been proposed for the modulation of synaptic plasticity. Enhancement of NMDA receptor function via M1 receptor-mediated inhibition of small conductance calcium-activated potassium (SK) channels facilitates the induction of LTP (Markram and Segal, 1990a; Buchanan et al., 2010; Giessel and Sabatini, 2010). Modulation of GABAergic inhibition of pyramidal neurons by presynaptic α4β2, α7, or M2 receptors (Shimoshige et al., 1997; Ji et al., 2001; Yamazaki et al., 2005) or indirectly via release of endocannabinoids (Carlson et al., 2002; Chevaleyre and Castillo, 2004) modulates the induction of synaptic plasticity at excitatory synapses. Enhancement of postsynaptic excitability by α7 receptors facilitates LTP or LTD depending on the timing of acetylcholine application (Ge and Dani, 2005). Enhancement of action potential generation and backpropagation into dendrites by M1 receptor-dependent inhibition of voltage-activated Kv7 potassium channels (Tsubokawa and Ross, 1997; Cho et al., 2008; Petrovic et al., 2012) facilitates LTP. mAChR also enhance dendritic excitability by increasing calcium concentrations in apical dendrites (Power and Sah, 2002; Cho et al., 2008). Finally, M1 receptors and NMDA receptors regulate dendritic voltage-gated Kv4.2 potassium channels (Losonczy et al., 2008) that facilitate LTP induction. The existence of multiple mechanisms, each dependent on specific concentrations and timing of acetylcholine release, potentially explains the variety of effects on synaptic plasticity. Many of these mechanisms may also be complementary. For example, the reduction in inhibitory transmission by presynaptic M2 receptors coupled with an increase in pyramidal cell excitability by α7 receptors both facilitate the induction of LTP (Ji et al., 2001; Ge and Dani, 2005; Yamazaki et al., 2005). In a further example, it has been shown that LTP can be facilitated and LTD abolished by mAChR activation and that in the presence of higher concentrations of acetylcholine LTD is switched to LTP (Sugisaki et al., 2011).
In vitro and in vivo studies have supported the idea that theta and gamma oscillations provide a mechanism for bringing together in time glutamatergic inputs to pyramidal cell dendrites and dendritic invasion of fast spikes, the key elements for the induction of synaptic plasticity. Furthermore, inhibition from different classes of interneurons, creating gamma oscillations within each theta cycle and the modulated efficacy of excitatory inputs at different theta phases can selectively influence the timing of pyramidal cell firing (Lengyel et al., 2005). Therefore, promotion of coordinated firing and rhythmic activity by acetylcholine release may provide an increase in the baseline excitability of neurons enhancing responses to glutamate and promoting interactions among neurons that bring about the synaptic changes necessary for memory formation. Within this system, synaptic input that arrives during the positive phase of theta induces LTP whilst input that occurs during the negative phase induces LTD or depotentiation (Greenstein et al., 1988; Huerta and Lisman, 1993, 1995; Holscher et al., 1997; Hyman et al., 2003). In addition, cholinergic receptor activation enhances LTP induction during exploration (Leung et al., 2003) and theta entrained hippocampal place cell activity (Isaac et al., 2009). Therefore, working synergistically with theta, within the optimal time window for STDP, high cholinergic tone during phases of exploration ensures that plasticity is reliably induced.
Questions: Most studies examining the role of acetylcholine in synaptic transmission and plasticity use exogenous agonist application. Which forms of synaptic transmission and plasticity modulation are engaged by physiological acetylcholine release? What mechanisms are important? Is the physiological timing of cholinergic input important for modulating synaptic plasticity in the hippocampus?
New Approaches to Old Problems
Currently, there is considerable focus on dissecting the neuronal substrates of behavior by linking specific cell types and populations to their activity patterns and extending this knowledge to probe the neuronal substrates of behavior. This approach is proving critical for understanding how neuronal circuits contribute to nervous system function.
Although much is known about the effects of acetylcholine in the hippocampus, it is difficult to predict, from the detail of individual receptors and synaptic pathways, what the overall effect will be. To understand this we need better tools to measure cholinergic neuron firing rates and the consequent release of acetylcholine, in addition to specific interventions to disrupt or activate cholinergic input to the hippocampus. The diffuse nature of this cholinergic pathway makes the isolation and experimental stimulation/silencing of well-defined groups of cholinergic fibers difficult to achieve. Recently developed tools could circumvent many of these technical problems and lead to new insights into the role of acetylcholine in modulating network activity, synaptic plasticity and behavioral output.
In this context, bioengineering and genetic tools, combined with transgenic animals, have become a powerful resource for the anatomical and functional deconstruction of neuronal networks. Cell type-specific expression of protein markers and light-gated ion channels allow the structural dynamics and electrical activity of genetically defined neurons to be manipulated and analysed on the millisecond timescale (Luo et al., 2008; Witten et al., 2010; Higley et al., 2011; Yizhar et al., 2011; Kalmbach et al., 2012). Optogenetic approaches are also minimally invasive, add versatility to conventional electrophysiological approaches and circumvent limitations such as difficulties with simultaneous targeting of multiple distinct cell types.
Although optogenetic tools will allow more precise simulation of acetylcholine release, the patterns of release will not be optimal unless there is a better understanding of the physiological patterns of cholinergic cell firing and fluctuations in acetylcholine concentrations in the extracellular space. The ability to mimic in vivo patterns of acetylcholine release will be critical for identifying and dissecting the physiological effects of cholinergic neuromodulation in the hippocampus. Two complementary approaches could reveal the temporal specificity of cholinergic neuron firing and subsequent acetylcholine release. The first is accurate measurement of the release kinetics and extracellular concentrations of acetylcholine/choline both in vivo and in vitro at high temporal resolution. This has been performed in discrete areas of the cortex during different behavioral states but information is not yet available for the hippocampus (Parikh et al., 2004, 2007; Howe et al., 2013; Paolone et al., 2013). Complementary approaches to determine the firing patterns of anatomically and histochemically defined septohippocampal cholinergic neurons will provide additional information on the release of acetylcholine in the hippocampus as a function of behavioral state (Simon et al., 2006). Some data from the hippocampus is already available but the picture is far from complete (Simon et al., 2006; Zhang et al., 2010, 2011).
The combination of these new approaches may provoke a fundamental rethink of the functions of cholinergic inputs to the hippocampus and reveal how specific receptors mediate those functions, therefore presenting an opportunity to establish causal connections between the activity of the septohippocampal cholinergic system, hippocampal network function, learning and memory.
Conflict of Interest Statement
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
We thank the reviewers for their constructive and helpful comments. Leonor M. Teles-Grilo Ruivo supported by BBSRC and Eli Lilly & Co., Jack R. Mellor supported by BBSRC and Wellcome Trust.
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Keywords: synaptic plasticity, acetylcholine, medial septum, hippocampus, septohippocampal pathway, memory
Citation: Teles-Grilo Ruivo LM and Mellor JR (2013) Cholinergic modulation of hippocampal network function. Front. Synaptic Neurosci. 5:2. doi: 10.3389/fnsyn.2013.00002
Received: 25 April 2013; Paper pending published: 15 May 2013;
Accepted: 10 July 2013; Published online: 30 July 2013.
Edited by:Huib Mansvelder, VU University, Netherlands
Reviewed by:Allan T. Gulledge, Geisel School of Medicine at Dartmouth, USA
June Liu, Louisiana State University Health Sciences Center, USA
Norbert Hajos, Hungarian Academy of Sciences, Hungary
Copyright © 2013 Teles-Grilo Ruivo and Mellor. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Leonor M. Teles-Grilo Ruivo and Jack R. Mellor, Centre for Synaptic Plasticity, School of Physiology and Pharmacology, University of Bristol, University Walk, Bristol, BS8 1TD, UK e-mail: email@example.com; firstname.lastname@example.org