Abstract
Neural oscillations are ubiquitous in olfactory systems of mammals, insects and molluscs. Neurophysiological and computational investigations point to common mechanisms for gamma or odor associated oscillations across phyla (40–100 Hz in mammals, 20–30 Hz in insects, 0.5–1.5 Hz in molluscs), engaging the reciprocal dendrodendritic synapse between excitatory principle neurons and inhibitory interneurons in the olfactory bulb, antennal lobe, or procerebrum. Recent studies suggest important mechanisms that may modulate gamma oscillations, including neuromodulators and centrifugal input to the olfactory bulb and antennal lobe. Beta (20 Hz) and theta (2–12 Hz) oscillations coordinate activity within and across brain regions. Olfactory beta oscillations are associated with odor learning and depend on centrifugal olfactory bulb input, while theta oscillations are strongly associated with respiration.
Introduction
Oscillations abound in cortical circuits. If excitatory and inhibitory neurons get together in large, interconnected groups, oscillations happen. Oscillations that have become the hallmark of olfactory areas in all vertebrate species so far examined have analogous counterparts in arthropods and molluscs. The olfactory circuit has evolved separately across phyla [1], which suggests that oscillations may be a very good solution to a neural processing problem.
This review addresses circuitry and other mechanisms that support neural oscillations within and across three. Most research has been focused on the mammalian system, but there are important lessons to be learned from reaching across the taxonomic aisles. In fact, this reach has so far enabled a deeper mechanistic and functional understanding of odor-evoked gamma oscillations.
Local sensory processing and coordination of neurons
Olfactory bulb (OB) gamma oscillations, which initiate on the transition from inhalation to exhalation, were the first cortical oscillations described in detail (Fig. 1). Lord Adrian detailed these oscillations recorded from hedgehogs, cats and rabbits with frequencies around 40 Hz. He noted both induced (by odors) and evoked (spontaneous) waves recorded from electrodes on the surface of the olfactory bulb [2]. The gamma oscillation circuitry was first described for pyriform cortex (PC) by Freeman [3], and a few years later for the OB by Rall and Shepherd [4]. We now know that fast (gamma) oscillations in the mammalian OB range from 40 to 100 Hz or more and that the frequency varies across species [5]. In cortical systems olfactory oscillations arise in isolated frequency bands out of the 1/f (log(power)/log(frequency)) background cortical activity (Fig. 1a; [6]). OB gamma oscillations are supported by the reciprocal dendrodendritic synapse between glutamatergic mitral or tufted (MT) cells and GABAergic granule cells (GCs). MT cells’ firing probability matches gamma oscillations, so the oscillation represents relative precision among mitral cells (reviewed in [7]).
Odor induced oscillations occur in non-mammalian vertebrate OBs (frogs, zebrafish, turtles, salamanders), in the insect antennal lobe (AL; locusts, bees, moths, drosophila) and mollusc procerebrum (terrestrial slugs and snails). Frequencies vary widely across species (~20 Hz in insects [8], ~30 Hz in zebrafish [9], 15 Hz in salamanders [10], 7–15 Hz in turtles [11,12], ~10 Hz in frogs [13], ~0.7 Hz in Limax [14,15]; Fig. 2). These oscillations are analogous for two reasons: 1) they are elicited by exposure to odorants, and 2) they are supported primarily by interactions between the principal excitatory neurons (MT cells in vertebrates, projection neurons in insects) and inhibitory neurons (granule cells and other OB GABAergic cells, GABAergic local neurons in insects). The spike patterns of the principal neurons conform to a restricted range of phases, around 90° before the peak of the LFP oscillation, and do not change phase in response to odor exposure or any other measured behavioral event. Frequencies associated with a given species are an intrinsic feature, the result of biophysical properties of the neurons and synapses involved. Freeman’s classic book, Mass Action in the Nervous System [6], describes influences by both negative and positive feedback and deep computational insight on oscillations and their frequencies.
Physiological analyses of brain slices are powerful tools for studying gamma oscillation circuits in the mammalian OB. Several studies have focused on the role of NMDA and AMPA receptors in setting GABA release kinetics at the dendrodendritic synapse [16,17] and intrinsic oscillatory properties of MT cells independent of GC spiking [18]. There is disagreement as to whether AMPA or NMDA receptors dominate GABA release at the reciprocal synapse, which has important implications for inhibition timing. When input fibers from the olfactory nerve are stimulated with a single shock, GC NMDA receptors dominate GABA release [19]; with 4 Hz stimulation simulating sniffing, AMPA receptors dominate [16]. AMPA receptors depolarize GC dendrites very quickly allowing short latency and duration GABA release. MT cells can produce gamma oscillations even in the absence of GC bodies meaning that reciprocal inhibition does not require GC spiking [20]. This feature, coupled with the fast action of GC AMPA receptors during sniffing, may support gamma oscillations in waking rats and mice [21].
Invertebrate studies provide rich insight into oscillations and odor responses. Odor induced oscillations produced in the insect AL are measured from the mushroom body where AL axon terminals produce coherent excitatory drive (Fig. 2b,d). Much of the early work was done in locusts, but this has been expanded to other species, including drosophila [22,23]. Within the oscillation, individual neurons fire on identified cycles and are constrained to a defined phase within the cycle, similar to MTs in anesthetized rabbits [24,25]. Thus, odors are not represented by firing relative to the phase of the fast oscillation but rather by what neurons fire on which cycles. When oscillations are disrupted by applying picrotoxin to the AL disabling fast GABAergic transmission, the neurons that read these uncoordinated spikes in the beta lobe respond more promiscuously to odors [26].
The molluscan system has a much lower oscillatory frequency (<1Hz), but the circuit that produces the oscillation is analogous to the mammalian and insect systems with reversed action of glutamate and GABA [27]. Olfactory nerve input targets projection neurons in the procerebral glomeruli, and these neurons interact with local inhibitory circuits to produce the oscillations (Figs. 2c,e). Oscillation frequency can vary dependent on odors, learning and neurotransmitter levels [15,27,28].
Multiple gammas
As described above, gamma oscillations can vary widely in frequency across species. However, within a species or group of species variations in fast oscillations can be informative. For example, in rats and mice there are two main bands of gamma oscillations. Gamma1 oscillations are those above 60 Hz and are what we commonly think of as evoked or induced gamma initiating at the transition from inhalation to exhalation. High amplitude, narrow band gamma2 oscillations (50–55 Hz) occur in behavioral states such as alert immobility are strongly coherent with pyriform cortex [29]. They do not occur in β3 knockout mice that lack GABAA receptors on OB GCs.
A further subdivision of gamma1 oscillations can be made. Gamma1 oscillations slow down after the first part of exhalation. Within the OB, mitral and tufted cells fire at different phases of the respiratory cycle. Tufted cells get direct olfactory nerve input [30] and fire at the peak of inhalation with little variation [31]; mitral cells receive indirect nerve input and fire in the early expiratory phase with significant variability driven by local inhibition. These different activation times may correspond to the two types of gamma1 oscillations, with faster oscillations driven by tufted cells and slower oscillations by mitral cells [32]. These two sets of neurons project to different pathways, so the two types of gamma1 oscillations may represent targeting of different neural pathways.
Functional role and modulation of gamma oscillations
Several studies have addressed and solidified the functional role of gamma oscillations, and here again is where we cross phylogenetic lines [33–35]. When oscillations are blocked in the honeybee AL, projection neurons maintain their slow temporal activation patterns in response to odors, but fine temporal coordination is lost [33]. Behaviorally, these honeybees are deficient in discriminating closely related but not more different odors. In the β3 knockout mouse the β3 subunit of the GABAA receptor is knocked out, which in the OB selectively deletes the functional GABAA receptors on GCs. These mice have abnormally large gamma oscillations without increased firing rates among MT cells, which means that they are much more precise in their timing relative to each other and the LFP oscillation [34]. These mice are deficient in generalizing among similar odors. Finally, when rats are challenged with difficult discriminations, gamma oscillations in the OB increase dramatically associated with performance increases [35].
We can view gamma oscillations as a simple negative feedback relationship between excitatory and inhibitory units, but stopping at this point would miss the exquisite circuitry that modifies these oscillations in behavioral contexts and provides converging evidence to support gamma oscillations’ functional properties (Fig. 3). First, centrifugal inputs to OB GABAergic deep short axon cells [36,37] and GCs desynchronize gamma oscillations. Ablating feedback to the OB greatly increases the amplitude of gamma oscillations and tightens MT cell firing precision [38,39]. Another source of gamma desynchronization is inhibition of GCs via GABAA receptors which can come from many sources, both intrinsic to the OB and from the basal forebrain [36,40,41].
Neuromodulators can also play a large role in adjusting the power of gamma oscillations; many of them act either at the OB reciprocal synapse or at the synapses from centrifugal input. Acetylcholine in the frog OB increases gamma power; in models of the pyriform cortex it is predicted to decrease gamma power [13,42]. In rats, drugs that increase cholinergic action at either muscarinic or nicotinic receptors decrease odor generalization, and those that decrease cholinergic action decrease odor discrimination [43]. In other cortical systems, acetylcholine is assigned to attention modulation signified by increased gamma power [44]. While this may be an oversimplification, it addresses neural mechanisms of attention.
Gamma oscillations are large and interesting, and we want them to be important, but there can be too much of a good thing. β3 mice discriminate too much; this can be bad for survival if they can’t generalize to similar odors when foraging or detecting a predator. A recent study combining slice physiology and modeling addresses the impact of heterogeneity in MT cells and shows that differences in phase resetting among neurons accounts for the asynchrony of neurons and oscillations [45]. Heterogeneity then provides what the authors refer to as a plastic substrate, allowing cells to flexibly enter and exit correlated assemblies of neurons, as Freeman hypothesized some time ago [46].
Processes that organize activity and link olfactory areas
Gamma oscillations are relatively local phenomena that represent neural firing precision in the OB. Slower cortical rhythms, theta (2–12 Hz) and beta (15–30 Hz) oscillations, may organize local activity and link brain areas.
In terrestrial mammals, breathing and olfaction are linked by sniffing, which an individual uses to gather odor stimuli from the environment and present them to the olfactory epithelium and receptor neurons. Most research on sniffing has been carried out in rats and mice. Humans do not perform rhythmic repetition of sniffs, so I will concentrate on rhythmic properties associated with respiratory rhythm in rodents.
The rat OB theta rhythm tracks the respiratory cycle at every frequency, which incorporates the motor signal within OB sensory processing [47]. MT cells were shown some time ago to fire at preferred phases all along the respiratory cycle which can change with learning [48,49]. The phase preference was recently reconfirmed with more technical power [50]. However, when rats sniff at high rates, as they do during odor discrimination, MT cells uncouple from respiration [48,49,51], which makes respiratory phase coding somewhat unreliable except in conditions of slow breathing associated with odor habituation. However, the respiratory cycle does, under many circumstances, group spikes into sniffs, and these cycles are intermittently coherent with the same rhythm in pyriform cortex and hippocampus [52–55]. Insects may have their own sniff cycle associated with sensorimotor processes. The moth AL and olfactory nerve responds optimally to odor pulses that cover their wing beat range of 18–20 Hz [56].
Of all the olfactory oscillation bands, beta oscillations are most coherent across areas [55,57–59] and occupy a very narrow frequency band centered about 20 Hz in mammals [60]. We know very little about the mechanisms of olfactory system beta oscillations, except that they require centrifugal input to the OB [39]. Beta oscillations are associated with operant odor learning and vary in power dependent on odor volatility [55,57,60]. In anesthetized rats, beta oscillations have a defined relationship with the respiratory rhythm, occurring during late exhalation [61]. It is not known whether this respiratory phase relationship persists during waking states.
Because beta oscillations depend on centrifugal feedback to the OB, it might be assumed that they do not have an analog in invertebrate olfactory systems. However, there is abundant centrifugal input to the insect AL, and odor responses in the mushroom body can precede the final sorting out of responses in the AL [62]. A recent study in terrestrial snails shows that the normal oscillation associated with odors slows down by as much as 40% in response to aversive odors following tentacle withdrawal [63]. Might these be molluscan beta oscillations?
Conclusion
Seven decades of research using many approaches at many levels in three different phyla have contributed to a deep and nuanced understanding of olfactory system gamma oscillations, even though there is still more to learn. Oscillations that organize and link activity within and across brain areas, theta and beta oscillations, are less well understood and will require broad and convergent studies across phyla to understand their mechanisms and functional roles.
What we have learned from gamma oscillations is to focus on the circuit, the behavior and the functional relationships to define them, not the frequency. As the scope of our knowledge about these enigmatic processes expands, we may want to consider revising definitions of these oscillations to focus not on frequency but rather on the function and the circuit.
Highlights.
Odor evoked oscillations rely on similar mechanisms across several phyla.
Slower oscillations help group activity within the olfactory bulb and link brain areas.
Olfactory bulb or antennal lobe centrifugal input may adjust inhibition modes and frequencies.
Acknowledgments
The author thanks Donald Frederick for help with MATLAB programming for Figure 1. Funding: NIDCD R01 DC014367 to LMK.
Footnotes
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Conflict of Interest Statement
Nothing to declare
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