Ringing Ears: The Neuroscience of Tinnitus

Abstract

Tinnitus is a phantom sound (ringing of the ears) that affects quality of life for millions around the world and is associated in most cases with hearing impairment. This symposium will consider evidence that deafferentation of tonotopically-organized central auditory structures leads to increased neuron spontaneous firing rates and neural synchrony in the hearing loss region. This region covers the frequency spectrum of tinnitus sounds, which are optimally suppressed following exposure to band-limited noise covering the same frequencies. Cross-modal compensations in subcortical structures may contribute to tinnitus and its modulation by jaw-clenching and eye movements. Yet many older individuals with impaired hearing do not have tinnitus, possibly because age-related changes in inhibitory circuits are better preserved. A brain network involving limbic and other nonauditory regions is active in tinnitus and may be driven when spectrotemporal information conveyed by the damaged ear does not match that predicted by central auditory processing.

Introduction

While most common after the age of 60 where 8–20% of individuals are affected (Coles et al., 1981), chronic tinnitus can occur at any age (Axelsson and Ringdahl, 1989) and is a major service-related disability for soldiers returning from Iraq and Afghanistan (Lew et al., 2007). Even when hearing thresholds are in the clinically normal range (≤20dB HL) tinnitus sufferers provide evidence for cochlear dead regions (Weisz et al, 2006), outer hair cell damage (Job et al., 2007), or threshold elevations compared to controls (Roberts et al., 2008) that suggest that some degree of hearing impairment is present. Tinnitus is a predictable outcome when the auditory nerve is sectioned by surgery for the removal of acoustic neuromas and is typically not eliminated in preexisting cases (House and Brackman, 1981; Berliner et al., 1992) implicating changes in central auditory structures as a causal factor. Although threshold shifts experienced by younger individuals after noise exposure often subside, tinnitus is typically associated with these shifts (Emmerich et al., 2002) and may return later in life as age-related changes in brain function unmask a hidden vulnerability (Kujawa and Lieberman, 2006). In the United States 12.5% of 6–12 year olds show a pattern of elevated hearing thresholds in their audiograms typical of noise exposure, suggesting a growing risk associated with recreational sound (Niskar et al., 2001). This observation is sobering in the light of animal research showing that noise exposure at a young age accelerated hearing decline and increased peripheral deafferentation in aged animals compared to unexposed controls (Kujawa and Liberman, 2006).

The most common pattern of hearing loss in the general population (and the most widely studied pattern in the animal literature on tinnitus) consists of elevated thresholds to high frequency sound. One consequence of high-frequency hearing loss revealed by animal models is that cortical neurons in the hearing loss region begin to respond preferentially to sound frequencies at the edge of normal hearing, such that edge frequencies come to be overrepresented in the cortical tonotopic map (Rajan and Irvine, 1998; Eggermont and Komiya, 2000) (Fig 1a). This “reorganization” of the tonotopic map, which has been detected in human tinnitus sufferers by neuromagnetic brain imaging (Wienbruch et al., 2006), may occur when neurons that receive diminished thalamocortical input begin to respond to input from their unaffected neighbors via lateral connections on their apical dendrites (Fig 1b, from Eggermont and Roberts, 2004). Human tinnitus sufferers typically judge sound frequencies covering the hearing loss region to resemble their tinnitus (Noreña et al., 2002), and band-pass noise maskers that produce a post-masking suppression of tinnitus lasting about 30 sec (a phenomenon called “residual inhibition” or RI) do so optimally when the center frequency of the maskers enters the tinnitus frequency range (Roberts et al. 2008) (both phenomena are shown in Fig 1c). Taken together these findings suggest that what neurons do in the hearing loss region causes tinnitus, and stopping what they do suppresses it. What are the neurons doing, and where are they doing it?

Figure 1.

Cortical map reorganization (a, b) and psychoacoustic properties of tinnitus (c). (a) In the normal hearing cat ( ) the characteristic frequency tuning of neurons at low sound intensity shows an orderly gradient from low to high frequencies across the surface of A1 (tonotopy). In cats exposed to noise trauma (+) neurons in the hearing loss region (above ~8 kHz in this example) responded preferentially to sound frequencies at the edge of normal hearing (from Eggermont and Komiya, 2000). (b) Model for map reorganization in primary auditory cortex. The dashed lines represent diminished thalamocortical input to cortical cells in the hearing loss region. A few inhibitory feed-forward connections are indicated (one is labeled i) that suppress the same cells receiving thalamic inputs after one synaptic delay. Feed-back inhibition is indicated by one example (ii). Hearing loss reduces excitation and feed-forward inhibition arising from thalamocortical pathways, such that the affected neurons begin to respond preferentially to inputs from their unaffected neighbors via horizontal connections in the tonotopic map. The output of the affected neurons remains intact and is heard in terms of their original cochleotopic tuning as the tinnitus percept. (From Eggermont and Roberts, 2004). (c) The group-averaged audiogram, tinnitus spectrum, and residual inhibition (RI) function in 47 participants with chronic bilateral tinnitus. To obtain the tinnitus spectrum participants rated each of 11 sounds differing in center frequency for similarity to their tinnitus (a likeness rating >40 indicated a sound beginning to resemble tinnitus). The RI function shows the suppression of tinnitus reported after cessation of band-limited noise sounds differing in center frequency (-5 equaled “tinnitus gone”, 0 no change, +5 tinnitus worse). The RI function is plotted negative up to show its similarity to the tinnitus spectrum. WH = white noise. (From Roberts et al., 2008)

Distributed Activity in Auditory Pathways

Damage to the cochlea induced by traumatizing sound, ototoxic agents, or other means increases the spontaneous firing rate (SFR) of neurons in several auditory structures including the dorsal (DCN) and ventral (VCN) cochlear nucleus (Kaltenbach, 2006; Bledsoe et al., 2009), the central nucleus of the inferior colliculus (IC) (Ma et al., 2006), and the secondary (A2) (Eggermont and Kenmochi 1998) and primary (A1) (Noreña and Eggermont, 2003) auditory cortices, but not necessarily in auditory nerve fibers (Eggermont and Roberts, 2004). In the DCN SFR increases across the cochleotopic representation, peaking about ~1 octave above the frequency of the traumatizing sound (Kaltenbach, 2006). This frequency profile is similar to tinnitus measured in noise-exposed animals (Kaltenbach et al., 2004) where suppression of behavioral responses conditioned to silence among a background of several frequencies reveals the presence of tinnitus in this frequency range. Enhanced SFR in the DCN is observed principally in fusiform cells (Brozoski et al, 2002; Finlayson and Kaltenbach, 2009) and persists following lesioning of the cochlea (Zacharek et al., 2002) demonstrating its independence of peripheral mechanisms. However, because behavioral evidence of tinnitus is not eliminated by ablation of the DCN (Brososki and Bauer, 2005), chronic tinnitus appears to be dependent on changes taking place at more than one level of the auditory system. Increased SFRs in fusiform cells in the DCN and pyramidal cells in the auditory cortex may reflect a shift in the balance of excitation and inhibition in cortical networks as powerful inhibitory regulation is diminished by deafferentation of central auditory structures. In DCN increased SFRs have been observed to develop over several days (Kaltenbach, 2006) suggesting that compensatory homeostatic plasticity (Turrigiano and Nelson, 2004; Schaette and Kempter, 2006) may also be occurring in this structure or at higher auditory levels that feed back to subcortical nuclei over corticofugal pathways. Compared to these findings implicating increased SFRs in tinnitus, changes in burst firing have been less extensively studied. In DCN burst firing increased following noise exposure accounting for about 50% of SRF increases seen in this structure (Finlayson and Kaltenbach, 2009). However, in AC burst firing increased after noise exposure but returned to baseline levels within a few hours (Noreña and Eggermont, 2003), while SFRs did not return to baseline over the time intervals that were studied in the AC (Noreña and Eggermont, 2003) or in the DCN (Kaltenbach et al., 2005). These results suggest that although a role for burst firing cannot be discounted, increased SFRs appear more likely to underlie persisting noise-induced tinnitus than is burst firing in cortical and subcortical neurons.

One can question however whether unstructured spontaneous activity is sufficient to produce a coherent percept (Singer, 1999), including the percept of phantom sound. Whereas at the level of spontaneous firings in the auditory nerve there is no evidence of burst firing (serial synchrony) or correlated firing between nerve fibers (spatial synchrony), such evidence is clearly present in the central auditory system (DCN and subdivisions of the auditory cortex) (Eggermont, 2000; Finlayson and Kaltenbach, 2009; O'Donahue et al., 2010). In normal hearing cats correlated firing between neuron pairs covering two cortical areas (anterior and posterior auditory fields) had on average a cross-correlation coefficient R≈ 0.01 during baseline, whereas during stimulation it was ≈ 0.03. Within a cortical area R was ten times larger (≈ 0.1), decreased slowly with distance on the cortical surface, and was only modestly increased by presenting sound. Decisions of the presence or absence of a stimulus based either on multi-unit firing rate or R indicated that while optimal criteria resulted in the same number of false positives, a decision based on R had a much smaller number of false negatives (Eggermont, 2000). Hence using synchronized firings resulted in better prediction. Synchronization between areas or within distant points in the same cortical area may thus be more important than local correlation for the percept of sound. Two hours after noise trauma, SFR was increased 2-fold and R was further increased (Noreña and Eggermont, 2003). Three hours after the trauma SFR was significantly larger than in controls at all recording sites tested and not in the region of the hearing loss alone, although that region showed more pronounced changes. Peak cross-correlation coefficients were also significantly increased by ~50%, but most notably, specifically in the hearing loss region relative to other regions (Seki and Eggermont, 2003). The latter result suggests that increased neural synchrony in the deafferented hearing loss area, forged by spike-timing dependent plasticity (Eggermont, 2007) in this region, underlies the spectrum of tinnitus which covers the same frequency region in human tinnitus sufferers. Like tinnitus spectra, RI functions relating tinnitus suppression in humans to the center frequency (CF) of band pass noise maskers also show optimal tinnitus suppression when the CF of the maskers enters the hearing loss region (Fig 1c). RI may be generated when suprathreshold band-pass noises presented to this region inject feedforward inhibition disrupting synchronous activity occurring there, or when the maskers rescale neuron input-output functions in subcortical structures (Dean et al., 2005) reducing SFRs in these regions and their driving force in auditory pathways.

Will the neurons generating tinnitus cease their activity if disrupted by maskers for longer periods of time? Although the results for tinnitus sufferers are variable, on average RI duration increases as a function of the logarithm of masker duration, lengthening to about 100s for maskers of 100s duration but only to about 200s for maskers ten times longer, with little gain thereafter for most (but not all) individuals with tinnitus (Terry et al. 1983; Vernon and Meikle, 2003). Repeated daily inductions of RI over three months had no effect on psychoacoustic measurements of tinnitus loudness or spectra (Roberts et al. 2008). In cats with noise-induced hearing loss, three weeks of recovery in quiet resulted in changes of the cortical tonotopic map in AI that were accompanied by increased SFR and increased neural synchrony in the reorganized areas (Noreña and Eggermont, 2005, 2006). However, if instead recovery was in an enhanced acoustic environment (EAE), with frequency content and level such that it balanced the activity of auditory nerve fibers across the cat’s full frequency range, the reorganized tonotopic map typical of noise exposed cats (Fig 1a) could be prevented, and both SFR and R were within normal limits (Noreña and Eggermont, 2005, 2006). This was interpreted as evidence that the biological substrates of tinnitus were now absent and tinnitus was likely prevented as well. Sound therapies based on this study have yielded inconclusive results in humans (Moffat et al., 2009). On the other hand, hyperacusis (abnormal intolerance of moderate to high-intensity sounds, often accompanied by hearing loss and tinnitus) can be corrected by exposure 3 hrs daily for 15 weeks to background sounds disproportionately weighting the frequency range of threshold elevation (Noreña and Chery-Croze, 2007). Rescaling of neuron input-output functions by background sound may be responsible for this effect, but its effects on tinnitus (which could depend on consequent mechanisms) have not been systematically studied.

Of the three types of neural activity discussed here as correlates of tinnitus (increases in SFRs, neural synchrony, and bursting activity), changes in neural synchrony measured in animal models of hearing loss (Seki and Eggermont, 2003) appear to correspond mostly closely to the frequency profile of tinnitus and hearing loss measured in human tinnitus patients (Noreña et al. 2002; Roberts et al., 2008). Elevated SFRs may play a crucial role by providing a substrate for increased synchronous activity, but synchrony may be the more prominent neural correlate of tinnitus because it is more likely than spontaneous activity to impact postsynaptic targets and recruit cortical and downstream neurons into a tinnitus percept. A role for synchronous activity is further implicated by a report that oscillatory brain activity generated in the left and right auditory cortices and measured by magnetoencephalography is larger in tinnitus patients than in controls and tracks the laterality of the tinnitus percept (Weisz et al. 2007). While these observations suggest insights into the neural basis of tinnitus, several key questions nevertheless remain unanswered. Several studies have revealed elevated SFRs in subcortical structures following hearing loss caused by noise trauma, but synchronous neural activity in these structures and its relation to behavioral evidence of tinnitus have not been extensively investigated. Little is known about the extent to which output from the AC contributes to neural changes in subcortical nuclei, or about whether changes induced by homeostatic plasticity in one auditory structure affect or compensate for changes in other levels of the projection pathway as might be expected. Increases in SFRs develop at different rates in different auditory structures (for example, more rapidly in the AC and VCN than in the DCN; Bledsoe et al., 2009; Kaltenbach, 2006) and may reflect mechanisms that change with time, since elevations in the DCN survive cochlear ablation (Zacharek et al., 2002) but those in the IC apparently do not (Mulders and Robertson, 2009). Also debated is whether contrast enhancement caused by discontinuities in the balance of excitation and inhibition across the edge of normal hearing contributes to tinnitus, in addition to contributions arising from abnormal neural activity in tonotopic regions affected by hearing loss (Kiang et al., 1969; König et al., 2006; Llinás et al., 2005). Important questions remain about how specific patterns of peripheral damage to inner and outer hair cells and to stereocilia affect neural changes in central auditory structures and how these patterns relate to the development of tinnitus. Physiological (Kaltenbach et al., 2002), otoacoustic (Job et al., 2007), and computational (Schaette and Kempter, 2006) evidence suggests that damage to outer hair cells may be predisposing but the findings are not consistent (Bauer et al., 2007). It is also well known that hearing loss and tinnitus are more common in older individuals, but that tinnitus is not an inevitable correlate of hearing loss and aging. While different patterns of cochlear pathology might account for tinnitus with and without hearing loss in older individuals, the relationships among aging, hearing loss, and tinnitus need to be better understood.

Tinnitus, Age, and Inhibition

Although it can occur at any age, chronic tinnitus is more common in the senior years when hearing is often impaired for sound frequencies above 2-4 kHz which is the region where tinnitus commences (Fig 1c). However, many older individuals show elevated hearing thresholds in this frequency range but do not report tinnitus (Roberts et al., 2008). If tinnitus reflects a shift in the balance of excitation and inhibition in central auditory structures, one answer to this puzzle may lie in understanding how cortical and subcortical inhibitory circuits change with aging and the mechanisms involved.

Partial deafferentation of the central auditory system due to aging, noise trauma or other peripheral insults may produce plastic maladaptive compensatory changes resulting in net down-regulation of functional inhibition (Syka, 2002; Eggermont, 2010; Dong et al., 2010). Age-related down-regulation of inhibition has been reported throughout the auditory neuraxis (Caspary et al., 2008; Frisina, 2010). Noise exposure studies suggest that insults to the auditory system in childhood or as a young adult may result in substantial/partial, afferent nerve degeneration not detectable by simple threshold measures. These changes may occur in the absence of temporary or only modest permanent elevation of auditory thresholds with little obvious hair cell damage (Bauer et al., 2008; Kujawa and Liberman, 2009). Progressive age-related loss of central inhibition could unmask areas of increased spontaneous activity, neural synchrony and/or hyperactivity made vulnerable by earlier peripheral insults, leading to the generation of a tinnitus percept later in life.

Current research is focused on understanding the inhibitory changes that occur with aging and how they relate to those associated with tinnitus induced by noise exposure in animal models. DCN fusiform cells, which appear to form an important link in the tinnitus pathway, show age-related changes in glycine inhibitory neurotransmission (Brozoski et al., 2002; Caspary et al., 2005) that are expressed in the altered subunit makeup of pentomeric heteromeric strychnine-sensitive glycine receptors (GlyRs) and in the anchoring/trafficking protein, gephyrin (Wang et al., 2009a). GlyR changes are also induced in these markers by noise exposure (Wang et al., 2009b). (1) In young rats with evidence of tinnitus induced by noise exposure GlyR α₁ protein decreased in middle- and high-frequency regions of the DCN while gephyrin levels increased, suggesting changes in intracellular receptor trafficking months following traumatic sound. Consistent with decreased α₁ subunit protein levels, strychnine binding studies showed significant tinnitus-related decreases in the number of GlyR binding sites, supporting a tinnitus-related change in the number and/or composition of GlyRs (Wang et al., 2009b). (2) Aging also decreases GlyR α₁ protein in middle- and high-frequency regions of the DCN, and there are age-related losses of GlyR binding as well. In aged rat DCN, noise trauma increased α ₁ protein in the middle and high frequency region with a commensurate increase in GlyR receptor binding, while aging and noise trauma increased gephyrin protein levels suggesting altered trafficking and anchoring functions in response to decreased acoustic nerve activity. Deafferentation and age-related changes in markers of GABA inhibition in the IC have been reviewed by Syka (2002) and Caspary et al. (2008).

Biochemical and physiologic markers of inhibitory neurotransmission in A1 are also altered by noise trauma and physical damage to the periphery (Popelar et al., 1987; Syka et al., 1994). Vertical and horizontal inhibitory GABAergic microcircuits are found throughout AI layers (Prieto et al., 1994a,b), and because (depending on the species) 20% to 40% of neurons in these circuits release GABA, any changes in GABAergic neurotransmission would likely have a profound effect on the response properties of auditory neurons (see Foeller et al., 2001 and Wang et al., 2002 for examples). Aging is accompanied by reduced A1 message and protein levels of the GABA synthetic enzyme GAD across layers of A1, with GAD protein losses between 40%–60% (Ling et al., 2005). Functionally, aging alters frequency receptive fields in rodent A1 (Willott et al., 1993; Turner et al., 2005) with age-related changes detected in the shape and reproducibility of receptive fields, an increased ability to be driven by extracellular current (Turner et al., 2005), and increased spontaneous and driven activity across all A1 layers with the greatest increases in layers II-IV (Hughes et al., 2010). These effects of aging on inhibitory processes could unmask or sum with sub-clinical tinnitus-related changes causing an activity-dependent down-regulation of inhibitory function and increasing the possibility that pathological activity in central auditory pathways is perceived as phantom sound.

Role of the somatosensory system in the generation and modulation of tinnitus

The observation that approximately two thirds of people with tinnitus are able to alter the loudness and pitch of their tinnitus via somatic maneuvers such as jaw clenching or tensing their neck muscles ( Pinchoff et al., 1998; Levine, 1999), has led to the search for neural connections between the auditory and somatosensory systems that could explain these phenomena (Shore, 2005; Shore et al., 2007; Dehmel et al., 2008). Indications that tinnitus can arise from somatosensory insults make determination of these connections all the more important (Rubinstein et al, 1990; Levine, 1999). Anatomical tract-tracing (Shore et al., 2007) and physiological studies (Kanold and Young, 2001; Shore, 2005) demonstrate auditory connections with the dorsal column and trigeminal systems at the very lowest levels of each sensory system where cells in the dorsal root and trigeminal ganglia send axons to terminate in the cochlear nucleus (CN). These projections as well as those from the brainstem somatosensory nuclei (cuneate, gracillis and spinal trigeminal) terminate as mossy fibers and en-passant endings primarily in the granule cell domain of the CN that surrounds the VCN and extends into the second layer of the DCN (Shore et al., 2007). En-passant endings are also found in magnocellular regions of the VCN and deep DCN. Both types of endings co-label with vesicular glutamate transporter 2 (VGLUT2), thus classifying them as glutamatergic. Interestingly, VIIIth nerve fibers conveying auditory information that terminate in the CN label exclusively with VGLUT1 and not VGLUT2, enabling study of the fates of the auditory and non-auditory endings after cochlear damage (see below).

Stimulating the trigeminal ganglion in the absence of sound produces primarily excitation of VCN neurons (Shore et al., 2003) and both excitation and inhibition in DCN neurons, with inhibition presumably arising from cartwheel cells (Davis et al., 1996; Shore, 2005). The locations and response patterns of units responding to trigeminal stimulation are consistent with those of fusiform or giant cells (Hackney et al., 1990) in the DCN, and bushy or stellate cells in the VCN (Shore et al., 2003). Importantly, these studies show that preceding an acoustic stimulus by trigeminal stimulation can modulate both the firing rates and temporal response patterns to the sound (Koehler et al., 2009; Shore, 2005). This bimodal integration is replicated in neurons of the IC (Jain and Shore, 2006), which receive converging inputs from both the DCN and somatosensory nuclei (Zhou and Shore, 2006). Somatosensory stimulation can affect both sound-driven and spontaneous rates for long periods of time (up to an hour) following cessation of the stimulation, a phenomenon that may be due to long term potentiation or depression (Tzounopoulos et al., 2007). Preceding an acoustic stimulus by electrical stimulation of somatosensory pathways can alter spike timing of the sound-evoked response (Koehler et al., 2009) and synchrony of firing between neurons in the DCN (unpublished observations), an additional proposed correlate of tinnitus (Eggermont, 2005)

Increased SFRs in DCN principal cells have been observed following noise-induced cochlear damage and have been proposed as correlates of tinnitus in animal behavioral models (Bauer et al., 2000; Brozoski et al., 2002; Kaltenbach et al., 2004; Rachel et al., 2002). One mechanism for the increased SFR could be a reduction in inhibitory inputs to the fusiform cells (Salvi et al., 2000), or changes in glycine receptors (see above) unmasking the excitability of the fusiform cells (Caspary et al., 1987; Wang et al., 2009b). Another mechanism, however, could be an increase in excitatory inputs to the CN from the somatosensory system after noise damage (Zeng et al., 2009). One and two weeks after unilateral cochlear ablation the number VGLUT2+ terminals increase in those regions that receive somatosensory inputs, while VGLUT1+ terminal decrease, signifying an enhanced somatosensory influence on the CN after decreased auditory nerve innervation of the CN (Zeng et al., 2009). This altered balance of inputs from auditory and somatosensory structures affects bimodal integration, imparting greater strength to the somatosensory inputs. One physiological consequence of the increased number of VGLUT2+ inputs is that DCN neurons become more responsive to somatosensory stimulation following cochlear damage (Shore et al., 2008), with decreases in latencies and thresholds to somatosensory stimulation and enhanced bimodal integration.

The up-regulation of glutamatergic somatosensory innervation of both granule and magnocellular cells in the CN shown by Zeng et al (2009) could account for the increase in SFR in DCN fusiform cells after cochlear damage. Indeed, when analyzed in terms of their responsiveness to somatosensory stimulation, the SFR increases observed following cochlear damage was confined to those DCN fusiform cells that showed excitatory responses to trigeminal stimulation: neurons that showed inhibitory or no responses to trigeminal stimulation did not have raised SRFs following noise trauma (Shore et al., 2008). One consequence of increased SFR in specified groups of neurons is increased synchrony of firing between neurons (Seki and Eggermont, 2003), which has also been reported in the rat DCN after noise damage (O'Donahue et al., 2010). Synchrony in one region can be transmitted with high fidelity to other brain centers (Masuda and Kori, 2007; Takahashi et al., 2009), and may be one mechanism by which the cortical synchrony reported above occurs.

Imaging of Brain Network Activity in Tinnitus

While the majority of individuals with tinnitus report a tonal sensation or ringing or noise-like sounds with a wider bandwidth, the percept can include more complex sounds (e,g, crickets, buzzing, pulsing noise), fluctuate over time, and be perceived in one or both ears or be heard diffusely in the head. This variability may reflect distinct patterns of injury and forms of tinnitus (e.g., Levine et al., 2006) that are shaped by neural plasticity operating in auditory pathways. Associated symptoms of anxiety, diminished concentration, disrupted sleep, and depression are present in many clinical patients and may also express in functional brain imaging data. However, because in all cases a sound is perceived, there should be enough commonality of mechanism across tinnitus patients to show consistent physiological results.

Consistent with this hypothesis, positron emission tomography (PET) studies have reported elevated blood flow in several auditory structures in individuals experiencing tinnitus compared to control conditions (see Lanting et al. 2009 for a review). Enhanced activity has been observed in the medial geniculate nucleus, the primary and secondary auditory cortex, the auditory brainstem, and in temporal-parietal association areas (Lockwood et al., 1998; Giraud et al., 1999; Plewnia et al., 2007). Magnetic resonance imaging has revealed differences in sound-evoked BOLD responses between tinnitus and non-tinnitus groups in cortical (Gu et al. 2008) and subcortical auditory nuclei (Melcher et al., 2009) and found evidence for structural differences in the thalamus (Muhlau et al., 2006), the auditory brainstem (Landgrebe et al., 2009), and the auditory cortex (Schneider et al., 2009). Enhanced BOLD responses evoked by sound stimuli may also reflect abnormal loudness growth (hyperacusis) in individuals with tinnitus (Melcher et al., 2009). When this factor is taken into account, elevated sound-evoked responses in subcortical auditory nuclei appear to reflect hyperacusis whereas in the auditory cortex augmented BOLD responses may be associated with both hyperacusis and tinnitus (Gu et al., 2010). Elevated cortical activation may reflect attention drawn to the auditory domain by the presence of tinnitus while subcortical nuclei are less affected by attentional state.

Brain changes in tinnitus are not, however, restricted to auditory regions. Increased functional responses have been reported in several nonauditory structures including the hippocampus (Lockwood et al., 1998), amygdala (Mirz et al., 2000), and the cingulate gyrus (Mirz et al., 2000; Plewnia et al., 2007) while grey matter decreases have been reported in the hippocampus (Landgrebe et al., 2009) and the subcallosal area including the nucleus accumbens (Mühlau et al. 2006). Phase coupling of MEG activity between the anterior cingulum and right frontal lobe activity was stronger in tinnitus than in control subjects and correlated with individual tinnitus distress ratings (Schlee et al., 2008). These results suggest network behavior in tinnitus that engages the thalamus and may be a prerequisite for the conscious perception of sound (Schlee et al., 2008). Limbic and prefrontal areas are associated with emotion and attention and may contribute to distress behavior which is present in many individuals with tinnitus (Jastreboff et al., 1996). Alternatively, nonauditory regions may play a more direct role in the generation of the tinnitus percept. One recent account attributes chronic tinnitus to the failure of a noise cancellation system mediated by subcallosal structures that in the undamaged brain is responsible for preventing the perception of unwanted sounds (Rauschecker et al., 2010). While current studies do not converge on a consensus regarding the role of non-auditory centers in tinnitus, the results are consistent with the growing view that multiple brain areas controlling executive functions are linked to one another through temporally coordinated activity (Buckner et al. 2009) and in the case of tinnitus may be important for the perception of phantom sound.

Tinnitus May Reveal a Mechanism of Normal Auditory Perception

Tinnitus can be described as the conscious perception of a sound that is not generated by any source outside the body. Phantom sound could be generated by abnormal spontaneous activity in the auditory system or by malfunction of a mechanism that normally prevents such activity to be audible or both factors. Suggestions for interacting mechanisms sensitive to always present background sound comes from studies that kept normal hearing people in a sound-proof room for 5–10 minutes (Del Bo et al., 2008). Nearly all of them described hearing sound and using qualitative descriptions that resemble those of people describing their tinnitus. Paraphrasing Aristotle, the brain may “abhor silence” and resort either to a short-term synaptic gain increase along the auditory pathway or to a release from inhibition in the absence of auditory input.

The function of the auditory system is to represent and communicate to other brain regions information about sounds that are present in the environment. A feature of the model described in Figure 1b for the auditory cortex in tinnitus is that while thalamocortical input is diminished in the region of impaired hearing, the output of the affected neurons remains intact. A reasonable extrapolation suggests that information is communicated from the reorganized region implying the presence of (tinnitus-like) sounds in the environment that is not congruent with bottom-up, spectrotemporally specific input from auditory pathways. The mismatch of top-down (predictive) and bottom-up (obtained) information in auditory cortical or subcortical structures may call auditory attention and induce brain network activity as the brain attempts to build a more accurate representation of the auditory scene.