Preprint
Article

This version is not peer-reviewed.

Personalized Music-Embedded Sound Therapy Based on Gating Modulation and Neural Decoupling Reduces Tinnitus Severity

Submitted:

03 February 2026

Posted:

03 February 2026

You are already at the latest version

Abstract
Background: Tinnitus is a prevalent auditory disorder associated with maladaptive cortical plasticity and aberrant neural synchronization across auditory and non-auditory brain networks. Acoustic desynchronization-based sound therapies, such as coordinated reset neuromodulation, aim to counteract pathological oscillatory patterns but commonly require prolonged daily listening sessions and specialized delivery formats, which may limit their accessibility and practicality in routine clinical settings. To address this limitation, a modified desynchronization protocol embedding therapeutic tones within music was developed to improve tolerability and engagement. This study aimed to evaluate the clinical effects of modified Music-Integrated Desynchronization Sound Therapy (mMIDST) on tinnitus severity in patients with chronic tinnitus. Methods: In this prospective, randomized, controlled, single-blind trial, adults aged 18–75 years with chronic non-pulsatile tinnitus were assigned to receive either mMIDST or an active control intervention consisting of low-frequency stimulation (LFS) embedded within identical music tracks. Participants listened to personalized sound files for one hour daily, five days per week. Tinnitus severity was assessed using the Tinnitus Handicap Inventory (THI), with audiometric evaluations performed at baseline and after one, two, and three months. Between-group differences were analyzed using the Mann–Whitney U test. Results: Twenty-five participants completed the study (15 mMIDST, 10 LFS). Baseline audiometric thresholds and THI scores were comparable between groups. The mMIDST group showed significantly greater reductions in THI scores than the LFS group at two and three months of treatment (p < 0.05). Conclusions: mMIDST was associated with time-dependent improvements in tinnitus-related distress compared with an active control condition. Embedding desynchronization-based tonal stimulation within music may represent a promising and well-tolerated non-invasive approach for chronic tinnitus management.
Keywords: 
;  ;  ;  ;  

1. Introduction

Tinnitus is characterized by the perception of sound without an external or internal auditory source. It can be classified as objective tinnitus when the perceived sound originates from a somatic source, such as blood flow or middle-ear muscle contractions, or as subjective tinnitus when the perceived noise has no somatic cause and therefore can be heard only by the patient. The latter form, understood as a phantom auditory percept, is more prevalent and constitutes the focus of this study. Current estimations suggest that tinnitus affects 5–20% of the population at some point in life [1,2], with its prevalence rising among older adults, affecting roughly 30-35% of people over 70 years old and reducing their quality of life by nearly 40% [3]. For most individuals, tinnitus remains a perceptual symptom, just the awareness of sound which has no identifiable source, with little or no impact on quality of life. However, in 1–3% of cases, it evolves into a distressing and burdening syndrome, which involves a plethora of uncomfortable reactions, including cognitive and emotional alterations such as anxiety, insomnia, and depressive symptoms, among others [3]. This distinction has become crucial for tinnitus research, underscoring the need to differentiate sensory tinnitus from tinnitus disorder with broader affective and cognitive comorbidities.
Pathophysiological mechanisms. Increased central gain and beyond. The underlying mechanisms of tinnitus, and particularly, the processes differentiating sensory tinnitus from tinnitus disorder, remain poorly understood [4]. Between 50% and 80% of tinnitus patients exhibit peripheral hearing loss due to inner-ear damage such as loss of cochlear hair cells secondary to acoustic trauma, ototoxicity, or presbycusis [3,5,6]. It has been proposed that the onset of tinnitus almost invariably involves at least minimal cochlear deafferentation, even in the form of “hidden hearing loss,” to which the central auditory system maladaptively responds [7]. The central gain hypothesis posits that decreased afferent input to the cochlea and auditory nerve triggers compensatory hyperactivity in central auditory structures, generating tinnitus perception [8,9], yet recent work suggests that increased central gain more accurately account for hyperacusis, an intolerance to loud sounds, rather than tinnitus itself [10]
Network-level and gating models. The heterogeneity of tinnitus phenotypes and the frequent presence of non-auditory symptoms (emotional, cognitive, attention-related, etc.), makes a single mechanistic explanation for all patients probably insufficient. Furthermore, tinnitus is increasingly viewed as a network-level disorder involving aberrant interactions among auditory, limbic, and frontostriatal regions. Supporting this view, older adults with sensory tinnitus show increased gray-matter volume in basal-ganglia nuclei, including the putamen, caudate, pallidum, and nucleus accumbens, without electrophysiological evidence of enhanced central gain [4]. These findings align with the frontostriatal gating hypothesis [11,12], suggesting that basal-ganglia circuits modulate the salience and persistence of phantom auditory percepts. This mechanism may contribute importantly to the difference between sensory tinnitus and tinnitus disorder [4]. Interestingly, this framework resonates with the therapeutic rationale behind Jastreboff’s tinnitus retraining therapy (TRT). Based on clinical observation, TRT employs a mixing point, which is the sound intensity where an external auditory or musical stimulus matches the perceived loudness of the tinnitus to facilitate habituation. By progressively decreasing the external stimulus while tinnitus perception diminishes, TRT aims to engage subcortical gating and filtering mechanisms that reduce the conscious salience of tinnitus. The use of music, rather than emotionally neutral sound, has been proposed to increase this gating effect, likely by recruiting affective and attention-driven mechanisms [13]. These conceptual parallel highlights that both network and gating models converge on the modulation of central auditory processing as a therapeutic pathway.
Hypersynchrony activity in tinnitus. Convergent evidence demonstrates that tinnitus is associated with widespread cortical network dysfunction characterized by abnormal oscillatory activity across multiple frequency bands. EEG and MEG studies consistently report an increase in slow-wave delta activity (1–4 Hz) in auditory and temporoparietal cortices, particularly in regions affected by sensory deafferentation, a pattern interpreted as a marker of cortical deprivation and thalamocortical dysrhythmia. This pathological delta activity is frequently accompanied by a concomitant reduction in alpha-band power, reflecting diminished inhibitory control within auditory networks, and by abnormal increases in gamma-band power and coherence in primary and secondary auditory cortices [14,15,16]. Within this framework, delta-band oscillations are thought to represent the core pathological substrate of tinnitus, providing a permissive environment for aberrant high-frequency synchronization. Gamma-band activity, in turn, has been shown to correlate with tinnitus loudness rather than conscious awareness, suggesting that early sensory cortices encode the intensity of the percept once the pathological network state is established [17,18]. Experimental manipulations that transiently reduce tinnitus intensity, such as residual inhibition, have been shown to induce selective decreases in delta-band power in temporal regions, further supporting a causal link between delta activity and the tinnitus percept [19,20]. Collectively, these findings portray tinnitus as a disorder of maladaptive oscillatory coordination, in which deafferentation-related delta activity disrupts normal thalamocortical dynamics, weakens alpha-mediated inhibition, and facilitates the emergence of focal gamma hypersynchrony. This gamma activity has been interpreted as a form of local cortical “kindling” centered on a deafferented frequency region within the auditory tonotopic map, where spike-timing–dependent plasticity mechanisms promote self-sustained hypersynchrony and contribute to tinnitus persistence [20]
From pathological hypersynchrony to acoustic coordinated reset neuromodulation. Coordinated reset (CR) neuromodulation—originally introduced by Tass [21] delivers brief, high-frequency pulse trains that induce postsynaptic plasticity and weaken synchronous synaptic events When applied through auditory stimuli (acoustic CR), temporally patterned tones surrounding the tinnitus pitch aim to disrupt pathological synchrony and reestablish physiological oscillatory balance [14]. In early proof-of-concept studies, participants undergoing acoustic CR displayed significant reductions in tinnitus loudness and annoyance alongside electrophysiological normalization, namely increased alpha and decreased delta rhythms after stimulation [22]. These results suggested that CR neuromodulation could induce lasting plastic changes beyond the stimulation period. However, subsequent research has yielded inconsistent outcomes. Meta-analyses and systematic reviews emphasize that, while CR therapy is safe and conceptually appealing, robust clinical efficacy remains unconfirmed due to limited randomized controlled evidence, small sample sizes, and high interindividual variability [23]. Additionally, practical limitations have hindered broader implementation: protocols typically require several hours of daily exposure, and the isolated tonal stimuli are often perceived as unpleasant, negatively impacting adherence [24]. Consequently, strategies to improve tolerability and engagement are essential for advancing CR-based interventions.
A modified approach: Integrating CR neuromodulation with musical stimulation. To address these limitations, our group developed a modified acoustic CR paradigm that integrates the therapeutic logic of Coordinated Reset with the gating and mixing principles of Jastreboff’s TRT model. Specifically, we designed proprietary software that embeds the characteristic CR tonal patterns within music selected by each patient using the musical track as a “Trojan horse” to deliver neuromodulatory tones seamlessly. Careful calibration ensured that the CR tone intensity matched the average loudness of the accompanying music, producing a blended auditory tailored experience that theoretically preserves the therapeutic desynchronization mechanism while enhancing comfort and ecological validity. During therapy, patients are instructed to listen at the individual mixing point, where the combined sound equals their perceived tinnitus intensity, thereby theoretically promoting both cortical desynchronization and subcortical gating/filtering engagement. In the present study, we report the outcomes of this personalized music-integrated CR therapy in patients with tinnitus disorder after a three-month treatment period, evaluated under a randomized clinical trial design.

2. Materials and Methods

The study was conducted at the Otolaryngology Department of the Hospital Clínico Universidad de Chile. We carried out a prospective, single-blind, placebo-controlled group trial designed to evaluate the efficacy of a novel sound therapy for chronic tinnitus.
Both groups participated in a structured sound therapy program aimed at reducing tinnitus-related symptoms. The experimental group received the modified Music-Integrated Desynchronization Sound Therapy (mMIDST), a personalized intervention developed to deliver temporally patterned tonal sequences tailored to each participant’s individual tinnitus frequency (Ft). Music tracks were freely selected by each participant from a curated set of classical music pieces according to personal preference prior to therapy initiation and served as the auditory carrier for the intervention. For each patient, the software generated four pure tones logarithmically distributed between 0.5 and 2.0 × Ft, embedded within the selected music tracks. This individualized configuration preserved the desynchronizing logic of Coordinated Reset neuromodulation while incorporating the mixing and gating principles of Tinnitus Retraining Therapy (TRT) (Figure 1).
In contrast, the control group received a Low-Frequency Stimulation (LFS) protocol, in which tones were randomly selected within a low-frequency range (500 to 2000 Hz), far from the spectral region typically associated with tinnitus perception in our patient population. These tones, also embedded within music, were matched in duration, intensity, and presentation structure but lacked the frequency-specific characteristics hypothesized to induce cortical desynchronization.In this way, both groups (mMIDST and LFS) were exposed to sound therapies that were perceptually equivalent, including a similar music background, differing only in the temporal and tonal characteristics of the embedded tones that were tailored to induce desynchronization in the mMIDST group. This design ensured that the placebo condition remained acoustically and procedurally comparable to the active treatment, while omitting the theoretically critical temporal and frequency-specific component of the desynchronization protocol.
Participants were recruited by convenience sampling from the otolaryngology outpatient clinic. Inclusion criteria comprised adults aged 18 to 75 years presenting with unilateral or bilateral tonal chronic non-pulsatile tinnitus (> six months). Exclusion criteria included pulsatile or non-tonal tinnitus, a history of auditory hallucinations, Ménière’s disease, or any middle- ear pathology. Patients with severe hearing loss were excluded. Participants with normal hearing or mild-to-moderate hearing loss were matched across groups to ensure comparable auditory thresholds and minimize selection bias.
Participation was entirely voluntary. All participants received detailed information about the study procedures and provided written informed consent prior to enrollment.The study protocol was reviewed and approved by the Ethics Committee of the Hospital Clínico Universidad de Chile (OAIC N° 1489/25), in accordance with the principles of the Declaration of Helsinki.

2.1. Initial Assessment and Tinnitus Evaluation

At the first visit, all participants underwent a comprehensive otologic and clinical assessment to confirm study eligibility. This included a structured anamnesis exploring tinnitus duration, onset, and associated auditory or systemic symptoms, as well as relevant medical and pharmacological history. Each participant underwent otoscopic inspection followed by pure-tone audiometry covering frequencies from 0.125 to 16 kHz, using an Interacoustics® AC40 audiometer with their own insert earphones under standard clinical conditions. Hyperacusis was indexed as the number of audiometric frequencies with a detectable loudness discomfort level (LDL). Given the non-normal distribution of this variable, between-group comparisons were performed using the Mann–Whitney U test, while descriptive statistics are reported as mean ± standard deviation for consistency with other baseline variables.

2.2. Assessment of Tinnitus Severity and Psychological Comorbidity

Tinnitus severity and its impact on daily functioning were quantified using the Tinnitus Handicap Inventory (THI), the most widely validated questionnaire for assessing tinnitus-related distress. The THI comprises 25 items rated on a three-point Likert scale (“Yes”, “Sometimes”, “No”), grouped into functional, emotional, and catastrophic subscales. The total score provides a global index of perceived tinnitus handicap. Also, overall tinnitus severity and intensity was recorded by a Visual Analogue Scale (VAS) for this percept. Psychological comorbidity was screened using the Goldberg Anxiety and Depression Scale (GADS), a brief and well-validated measure composed of two subscales (anxiety and depression), each containing nine dichotomous (Yes/No) items. Although not diagnostic, the GADS is sensitive to emotional distress and has been recommended for use in non-psychiatric populations, including tinnitus patients. In this study, it was used to characterize the affective and emotional dimensions potentially associated with tinnitus perception [25,26]

2.3. Tinnitus Pitch Determination

The individual tinnitus pitch was determined using a tinnitus-matching perceptual procedure. Initially, pairs of pure tones were sequentially presented between 250 and 10,000 Hz, at intensities ranging from 0 to 75 dB, and participants identified the tone that most closely matched their perceived tinnitus pitch. Subsequently, additional trials were conducted using pairs of tones with progressively smaller frequency differences centered around the initially selected pitch, allowing a fine-tuning of the match. This iterative process was repeated until the selected tinnitus pitch varied by less than 100 Hz across consecutive trials, at which point the measurement was considered reliable. Once the pitch was established, tinnitus loudness was matched using the same reference tone.

2.4. Study Design and Stimulation Protocols

Participants who met the inclusion criteria were randomly assigned, using simple 1:1 randomization, to one of two groups: (1) the modified Music-Integrated Desynchronization Sound Therapy (mMIDST) group, or (2) the Low-Frequency Stimulation (LFS) control group. This approach ensured equal allocation probability and minimal variance between groups, maximizing statistical balance within the available sample. All participants received standardized instructions regarding listening environment, volume setting, and adherence. Participants were instructed to listen to the assigned tracks for 60 minutes/day, 5 days/week, for 12 weeks using their own headphones, in a quiet setting. Listening adherence was monitored using “last connection” in the digital folder interface, and participants were contacted every week to reinforce compliance and address technical issues.

2.5. Experimental Condition: mMIDST (Music-Integrated Desynchronization Sound Therapy)

The mMIDST protocol was designed to deliver a personalized form of acoustic desynchronization therapy, in which the tonal components were derived directly from each participant’s tinnitus frequency (Ft). For each subject, four pure tones were generated at logarithmically equidistant frequencies between 0.5 and 2.0 × Ft, approximating two octaves centered on the tinnitus pitch and covering the tonotopic region most likely involved in tinnitus-related cortical activity. The corresponding stimulation frequencies were:
f 1 = 0.5 F t , f 2 = 0.79 F t , f 3 = 1.26 F t , f 4 = 2.0 F t
Music tracks were selected from a library of classical pieces. The library was curated to minimize abrupt dynamic changes and extreme spectral content that could interfere with tone perception and to ensure comparable musical structure across participants. Each participant selected the tracks from the same curated library, based on personal preference, which were then used as the acoustic carrier throughout the intervention. The embedded tones were presented at an intensity set relative to each participant’s tinnitus loudness match (see subsection 2.3). The final audio files were exported in WAV/MP3, sampled at 48 kHz, and delivered via digital folder to the patient.

2.6. Temporal Structure of the Stimulation

In the mMIDST and LFS conditions, stimulation was delivered in repeating cycles consisting of an “ON” stimulation phase followed by an “OFF” pause phase. Each ON phase comprised 3 sequences of four tones (f1–f4), presented in random order, followed by an “OFF” pause phase. Specifically, each tone burst had a duration of 165 ms, including a rise/fall time of 10 ms ramps. A complete stimulation cycle consisted of 3 stimulation cycles of 0.66 seg each, followed by two pause cycles with the same duration, resulting in a total cycle length of 3 ON: 2 OFF cycles repeated continuously throughout the daily 60-min session. To ensure consistent stimulation timing across participants, tone scheduling was generated algorithmically and exported as fixed audio files. The stimulation pattern (cycle structure, tone duration, ON:OFF pattern) was identical across participants; only the stimulation frequencies were individualized based on Ft.

2.7. Follow-Up Procedures

Adherence to the sound therapy protocol was monitored pragmatically throughout the intervention period. Participants were contacted weekly by telephone to reinforce usage instructions, address technical issues, and verify continued participation. In addition, upon completion of the three-month protocol, all participants were asked to complete a brief self-reported adherence questionnaire administered via an online digital platform, in which they confirmed regular use of the assigned sound therapy according to the prescribed schedule.

3. Results

A total of 25 patients were included in the analysis, with 15 assigned to the mMIDST group and 10 to the LFS group. Baseline demographic and clinical characteristics were comparable between groups (Table 1). The mean age was 59 years in the mMIDST group and 58 years in the LFS group. Tinnitus duration showed broad variability in both groups, ranging from 20 to 240 months in the mMIDST group and 10 to 240 months in the LFS group. The distribution of tinnitus laterality was similar, with the majority of patients in both groups reporting unilateral tinnitus.
mMIDST Group (n = 15) LFS Group (n = 10) Statistical comparison
Age, mean (range) 58 (48–65) 59 (54–62) U = 75.5 (p = 1.00)
Tinnitus duration in months, median (IQR) 60 (39 - 90) 84 (39 - 138) U = 65 (p = 0.59)
Laterality Right: 5
Left: 8
Bilateral: 2
Right: 2
Left: 6
Bilateral: 2
-*
Comorbidities (n) Hypertension: 4
Diabetes mellitus: 1
Hypothyroidism: 1
Hypertension: 2
Diabetes mellitus: 2
Hypothyroidism: 0
-*
Right ear PTA; mean (SD) 32.1 (± 12.7) dB HL 31.2 (± 12.8) dB HL U = 92 (p = 0.35)
Left ear PTA; mean (SD) 33.5 (± 14.2) dB HL 34.4 (± 16.0) dB HL U = 76,5 (p = 0.95)
THI score, mean (SD) 69 (± 14,7) 67 (± 17,5) U = 85 (p = 0.59)
Tinnitus frequency, mean (SD) 4600 Hz (± 1600 Hz) 4600 Hz (± 1500 Hz) U = 72,5 (p = 0.91)
LDL, count (SD) 2.53 (± 2.2) 1.70 (± 1.8) U = 96 (p = 0.24)
Pure-tone audiometry results showed that both groups exhibited comparable degrees of hearing loss, with no significant differences in threshold levels across ears (Table 1). Mean PTA values were 33.5 ± 14.2 dB HL (left ear) and 32.1 ± 12.7 dB HL (right ear) in the mMIDST group, and 34.4 ± 16.0 dB HL (left ear) and 31.2 ± 12.8 dB HL (right ear) in the LFS group, with a similar distribution of hearing-loss severity categories. These values correspond predominantly to normal-to-mild hearing loss, with a minority of cases falling within the moderate range, and none within the severe range, consistent with the study’s exclusion criteria. Importantly, the distribution of hearing-loss severity categories (normal, mild, moderate) was similar between groups, indicating successful matching and reinforcing that the two cohorts were comparable in baseline auditory status. Mean LDL count did not differ between groups at baseline (mMIDST: 2.53 ± 2.2; LFS: 1.70 ± 1.8; p > 0.05), indicating a comparable degree of sound intolerance across treatment arms (Figure 2)
Tinnitus pitch frequencies were homogeneously distributed across the study population and predominantly located within the high-frequency range. Across all participants, tinnitus pitch ranged from 2000 to 8000 Hz, with a median frequency of 4600 Hz and an interquartile range between 3500 and 6500 Hz for the mMIDST group; and 4000 to 5700 Hz for LFS group. The distribution of tinnitus frequencies was comparable between the mMIDST and LFS groups, with no significant between-group differences, indicating adequate matching of tinnitus spectral characteristics at baseline. There were no significant differences between groups in the mean perceived tinnitus pitch (4600 kHz in both the mMIDST and LFS group).
The mean THI score was comparable between groups at baseline, with the mMIDST group starting at 69 points and the LFS group at 67 points, indicating similar initial tinnitus severity. At one month, both groups showed minimal change (mMIDST 70, LFS 72). By two months the mMIDST group demonstrated a reduction to 55 points, whereas the LFS group reached 68 points, resulting in a significant between-group difference (p = 0.032). This pattern continued over time. At three months, THI scores in the mMIDST group further decreased to 50 points, while the LFS group stabilized at 70 points, yielding a significant difference at three months of therapy (p < 0.001).
In terms of THI severity categories, both groups began with a predominance of moderate and severe tinnitus, with a smaller number of subjects in the catastrophic range. Over time, the distribution shifted in the mMIDST group: by month 2, several patients transitioned from severe to moderate or mild handicap, and by month 3 a subset reached the very mild category (THI ≤17). Conversely, the LFS group showed no comparable categorical shift; most subjects remained within their original severity levels, with some even transitioning from moderate to severe or catastrophic by month 3. This evolution mirrors the quantitative findings and aligns with the boxplot comparison (Figure 3), where the mMIDST group shows a downward displacement of the entire distribution and a statistically significant improvement, while the LFS group displays overlapping distributions with no significant change (Figure 4).
After the previous results, we stratified mMIDST group by Goldberg test result (normal n = 9; abnormal n = 6). Participants with a normal Goldberg score maintained a stable THI at one month (69 → 70 points) and then showed decreases to 52 points at two months and 46 points at three months. Those with an abnormal Goldberg score exhibited a slight THI increase at one month (69 → 73 points) followed by reductions to 60 points at two months and 56 points at three months. The change between subgroups was significant at both two months (−8 points; p = 0.031) and three months (−10 points; p = 0.004), indicating a greater improvement in the subgroup with a normal Goldberg score (Figure 5).

4. Discussion

In this randomized controlled trial, we demonstrated that a personalized music embedded desynchronization sound therapy reduced the THI score in patients with tinnitus disorder. The protocol, based on Tass’s desynchronization model and Jastreboff’s tinnitus retraining therapy principles, led to significant improvements in tinnitus loudness and annoyance compared with a sham condition using identical music containing non-therapeutic tones (LFS). Notably, these benefits were achieved after two months of therapy consisting of one hour of daily stimulation, which is considerably shorter than conventional CR regimens (4–6 hours). Overall, this blended musical mMIDST tailored approach emerges as an efficient, well-tolerated, and patient-friendly intervention that maintains the theoretical integrity of mMIDST neuromodulation while enhancing practicality and adherence.

4.1. Mechanistic Considerations.

Two main mechanisms may explain the efficacy of this modified approach.
First, embedding therapeutic tones within music enhances comfort and emotional engagement, addressing a key limitation of earlier studies, the repetitive and unpleasant nature of isolated tone sequences. Positive auditory contexts can activate reward and attention networks, promoting neuroplasticity and adherence. Second, the “mixing point” calibration, where external and internal sound intensities converge, enables subcortical gating of the tinnitus percept. As patients gradually reduce external sound levels, this process encourages adaptive filtering and habituation, akin to the logic of tinnitus retraining therapy. Thus, the therapy integrates two complementary mechanisms: mMIDST-induced network desynchronization and perceptual gating via auditory competition.These mechanisms also clarify discrepancies in the literature. Early studies linked coordinated acoustic reset to symptomatic improvement and EEG desynchronization (increased alpha, reduced delta/gamma activity) [22], whereas more recent trials found no significant effects. Systematic reviews continue to note methodological variability, small samples, and long daily usage times. Our results suggest that musical embedding and shorter exposure maintain CR mechanistic integrity while enhancing practicality and adherence.

4.2. Psychological Effects.

An intriguing finding of this study was the differential response to mMIDST therapy depending on patients’ psychological profiles, as reflected by the Goldberg scale. Individuals with abnormal scores exhibited a less favorable improvement trajectory compared with those classified as normal, despite similar baseline tinnitus severity and auditory characteristics. This pattern suggests that emotional distress, anxiety, or depressive symptoms may interfere with the neural mechanisms underlying mMIDST-induced desynchronization and habituation. From an alternative and complementary perspective, it is also plausible that, in patients with abnormal Goldberg scores, the Tinnitus Handicap Inventory (THI) may capture a proportionally greater contribution of neuropsychiatric burden, such as anxiety, depressive symptoms, and emotional distress, rather than tinnitus perceptual severity per se. Under this framework, improvements driven primarily by auditory neuromodulation may be partially masked by persistent affective symptoms, resulting in a smaller apparent THI change despite potential modulation of the tinnitus signal itself. From a neurophysiological standpoint, heightened limbic or autonomic reactivity could sustain pathological coupling between auditory and non-auditory networks, thereby limiting the extent of neural plasticity achievable through acoustic stimulation alone. Clinically, these findings highlight the importance of integrating psychological assessment and support into tinnitus management, ensuring that interventions such as mMIDST are complemented by strategies addressing comorbid affective burden. Such a multimodal framework may optimize therapeutic outcomes, facilitate sustained engagement with treatment, and provide a more individualized approach to tinnitus rehabilitation.

4.3. Towards a Multidimensional Model of Tinnitus.

Tinnitus is increasingly understood as a multifactorial brain disorder involving interconnected auditory, limbic, and attentional networks. Based on previous neurophysiological and neuroimaging studies, tinnitus has been associated with auditory cortical hypersynchrony, among several mechanisms proposed to sustain the symptom, in which impaired limbic and frontostriatal gating may fail to suppress aberrant auditory activity and disrupted thalamocortical rhythms and deficient top-down modulation may reinforce tinnitus perception and its emotional salience [7,11,12,27]. Within this framework, psychological and neural processes interact bidirectionally: anxiety, hypervigilance, and depressive symptoms can heighten tinnitus awareness, while chronic tinnitus in turn exacerbates emotional distress [28]. Interventions capable of simultaneously engaging auditory and affective networks are therefore of particular interest. Music-based approaches are uniquely positioned in this regard, as they combine structured auditory input with emotional and attentional engagement, activating reward-related and gating networks while providing an ecologically valid carrier for desynchronizing stimulation. In this context, personalized and emotionally meaningful music may facilitate the effects of mMIDST therapy by enhancing tolerability, sustained engagement, and the interaction between sensory and non-sensory components of tinnitus processing.
Overall, tinnitus should be conceptualized as a dynamic, multi-level disorder encompassing peripheral, central, and affective domains. The present results support the hypothesis that addressing auditory-cortical hypersynchrony through pleasant and individualized desynchronizing sound therapy, such as the present music-integrated mMIDST protocol, can yield substantial relief when combined with complementary approaches targeting the remaining components of this complex condition. Importantly, while engagement of affective and attentional processes through music may facilitate tolerability and sustained use, the absence of significant improvement in the LFS control group underscores that modulation of auditory hypersynchrony remains a critical therapeutic component, accounting for the differential efficacy observed with mMIDST.

4.4. Limitations and Future Directions

Pathophysiologically, tinnitus is thought to involve pathological neural hypersynchrony manifested as high-amplitude aberrant oscillatory patterns. According to Tass and Adamchic (2017), mMIDST should restore normal neural oscillations, but this electrophysiological effect was not assessed in the current work. Based on our clinical results, a new hypothesis emerges: patients demonstrating THI improvement could also exhibit changes in alpha, gamma, and delta power spectra at three months. Future work can perform electroencephalography (EEG) to correlate neural changes with THI improvements with mMIDST.

5. Conclusions

This study demonstrates that a personalized music-integrated modification of acoustic coordinated reset neuromodulation, combining desynchronization principles with tinnitus gating and mixing-point frameworks, is associated with a significant reduction in tinnitus-related impairment as measured by the THI. Importantly, these clinical benefits were achieved within a short and practical daily listening schedule for two and three months of therapy, supporting the feasibility of this approach in real-world settings. Embedding therapeutic tonal sequences within balanced musical tracks preserved the core principles of desynchronizing coordinated acoustic reset while enhancing comfort, adherence, and emotional engagement. Within the limits of a clinically focused design, the present results support mMIDST as a personalized intervention capable of improving tinnitus-related quality of life. Future investigations combining behavioral outcomes with electrophysiological measures will be required to determine whether these clinical improvements are accompanied by corresponding changes in brain oscillatory activity and to evaluate the long-term durability of treatment effects across different tinnitus phenotypes.

Author Contributions

All authors have read and agreed to the published version of the manuscript.

Funding

This work has been funded by ANID (Fol. Number: 21221087), Fondecyt 1220607 and Centro Basal CIA250006 and Fundación Guillermo Puelma to PHD.

Institutional Review Board Statement

The study was conducted in accordance with the Declaration of Helsinki, and approved by the Institutional Ethics Committee of Universidad de Chile (protocol code OAIC N° 1489/25) for studies involving humans.

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study.:

Data Availability Statement

Not applicable.

Conflicts of Interest

The authors declare no conflicts of interest.

Abbreviations

The following abbreviations are used in this manuscript:
mMIDST modified Music-Integrated Desynchronization Sound Therapy
LFS Low frequency stimulation
CR
Coordinated reset

References

  1. Coles, R. R. A. Epidemiology of tinnitus. J Laryngol Otol 1984, vol 98, 7–15. [Google Scholar] [CrossRef] [PubMed]
  2. Davis, A. C. The prevalence of hearing impairment and reported hearing disability among adults in Great Britain. Int. J. Epidemiol. 1989, vol 18, 911–917. [Google Scholar] [CrossRef]
  3. Kim, H. J.; et al. Analysis of the Prevalence and Associated Risk Factors of Tinnitus in Adults. PLoS One 2015, Vol 10. [Google Scholar] [CrossRef]
  4. Martin, S. S.; Medel, V.; Breinbauer, H.; Delgado, C.; Delano, P. Increased basal ganglia volume in older adults with tinnitus. Sci Rep. 2025, 15, 1, 15. [Google Scholar]
  5. Bertolini, P.; et al. Platinum Compound-Related Ototoxicity in Children: Long-Term Follow-Up Reveals Continuous Worsening of Hearing Loss. J. Pediatr. Hematol. Oncol. 2004, 26, 649–655. [Google Scholar] [CrossRef] [PubMed]
  6. Nondahl, D. M.; et al. Tinnitus and its risk factors in the Beaver Dam Offspring Study. Int. J. Audiol. 2011, 50, 313–320. [Google Scholar] [CrossRef] [PubMed]
  7. Knipper, M.; et al. The neural bases of tinnitus: lessons from deafness and cochlear implants. J. Neurosci. 2020, 40, 7190–7202. [Google Scholar] [CrossRef]
  8. Jastreboff, P. J. Phantom auditory perception (tinnitus): mechanisms of generation and perception. Neurosci. Res. 1990, 8, 221–254. [Google Scholar] [CrossRef]
  9. Baizer, J. S.; Manohar, S.; Paolone, N. A.; Weinstock, N.; Salvi, R. J. Understanding tinnitus: The dorsal cochlear nucleus, organization and plasticity. Brain Res. 2012, 1485, 40–53. [Google Scholar] [CrossRef]
  10. Hofmeier, B.; et al. Functional biomarkers that distinguish between tinnitus with and without hyperacusis. Clin. Transl. Med. 2021, 11, e378. [Google Scholar] [CrossRef]
  11. Rauschecker, J. P. Neural encoding and retrieval of sound sequences. Ann. N. Y. Acad. Sci. 2005, 1060, 125–135. [Google Scholar] [CrossRef]
  12. Rauschecker, J. P.; Leaver, A. M.; Mühlau, M. Tuning Out the Noise: Limbic-Auditory Interactions in Tinnitus. Neuron 2010, 66, 819–826. [Google Scholar] [CrossRef]
  13. Krick, C. M.; Argstatter, H.; Grapp, M.; Plinkert, P. K.; Reith, W. Heidelberg neuro-music therapy restores attention-related activity in the angular gyrus in chronic tinnitus patients. Front. Neurosci. 2017, Vol 11. [Google Scholar] [CrossRef]
  14. Adamchic, I.; Hauptmann, C.; Tass, P. Changes of oscillatory activity in pitch processing network and related tinnitus relief induced by acoustic CR neuromodulation. Front. Syst. Neurosci. 2012, Vol 6. [Google Scholar] [CrossRef]
  15. Dohrmann, K.; Weisz, N.; Schlee, W.; Hartmann, T.; Elbert, T. Neurofeedback for treating tinnitus. Prog. Brain Res. 2007, 166. [Google Scholar]
  16. Sturm, J. J.; Weisz, C. J. C. Hyperactivity in the medial olivocochlear efferent system is a common feature of tinnitus and hyperacusis in humans. J. Neurophysiol. 2015, 114, 2551–2554. [Google Scholar] [CrossRef] [PubMed]
  17. Dehaene, S.; Changeux, J. P. Experimental and Theoretical Approaches to Conscious Processing. Neuron 2011, 70, 200–227. [Google Scholar] [CrossRef]
  18. Eggermont, J. J. Hearing loss, hyperacusis, or tinnitus: What is modeled in animal research? Hear. Res. 2013, 295, 140–149. [Google Scholar] [CrossRef] [PubMed]
  19. Kahlbrock, N.; Weisz, N. Transient reduction of tinnitus intensity is marked by concomitant reductions of delta band power. BMC Biol. 2008, Vol 6. [Google Scholar]
  20. Tass, P. A. Desynchronization of brain rhythms with soft phase-resetting techniques. Biol. Cybern. 2002, 87, 102–115. [Google Scholar] [CrossRef]
  21. Eggermont, J. J.; Tass, P. A. Maladaptive neural synchrony in tinnitus: origin and restoration. Front. Neurol. 2015, Vol 6. [Google Scholar] [CrossRef]
  22. Adamchic, I.; et al. Acute effects and after-effects of acoustic coordinated reset neuromodulation in patients with chronic subjective tinnitus. Neuroimage Clin. 2017, 15, 541–558. [Google Scholar] [CrossRef] [PubMed]
  23. Hoare, D. J.; et al. Neuromodulation Treatments Targeting Pathological Synchrony for Tinnitus in Adults: A Systematic Review. Brain Sci. 2024, 14. [Google Scholar] [CrossRef] [PubMed]
  24. Hall, D. A.; et al. Systematic Evaluation of the T30 Neurostimulator Treatment for Tinnitus: A Double-Blind Randomised Placebo-Controlled Trial with Open-Label Extension. Brain Sci. 2022, 12. [Google Scholar] [CrossRef]
  25. Mackinnon, A.; et al. A latent trait analysis of an inventory designed to detect symptoms of anxiety and depression using an elderly community sample. Psychol. Med. 1994, 24, 977–986. [Google Scholar] [CrossRef]
  26. Goldberg, D.; Bridges, K.; Duncan-Jones, P.; Grayson, D. Detecting anxiety and depression in general medical settings. BMJ 1988, 297, 897–899. [Google Scholar] [CrossRef] [PubMed]
  27. Simonetti, P.; et al. Evaluating the efficacy of hearing aids for tinnitus therapy – A Positron emission tomography study. Brain Res. 2022, 1775, 147728. [Google Scholar] [CrossRef]
  28. Fuller, T.; et al. Cognitive behavioural therapy for tinnitus. Cochrane Database Syst. Rev. 2020. [Google Scholar] [CrossRef]
Figure 1. Stimulation cycles (Cycle 1, Cycle 2, and Cycle 3) are delivered, each followed by two pause cycles. Every stimulation cycle consists of four tones (f1, f2, f3, f4) presented in random order. The tones must be logarithmically equidistant from the patient’s tinnitus frequency (Ft). The full sequence of stimulation and pauses is administered continuously through auditory presentation for 1 hour per day.
Figure 1. Stimulation cycles (Cycle 1, Cycle 2, and Cycle 3) are delivered, each followed by two pause cycles. Every stimulation cycle consists of four tones (f1, f2, f3, f4) presented in random order. The tones must be logarithmically equidistant from the patient’s tinnitus frequency (Ft). The full sequence of stimulation and pauses is administered continuously through auditory presentation for 1 hour per day.
Preprints 197282 g001
Figure 2. Mean loudness discomfort level (LDL) count is shown for the mMIDST and LFS groups at baseline. Bars represent mean values and error bars indicate the standard error of the mean (SEM). LDL count corresponds to the number of audiometric frequencies with a detectable loudness discomfort level per subject. No significant differences were observed between groups (Mann–Whitney U test, ns), indicating comparable degrees of sound intolerance prior to treatment.
Figure 2. Mean loudness discomfort level (LDL) count is shown for the mMIDST and LFS groups at baseline. Bars represent mean values and error bars indicate the standard error of the mean (SEM). LDL count corresponds to the number of audiometric frequencies with a detectable loudness discomfort level per subject. No significant differences were observed between groups (Mann–Whitney U test, ns), indicating comparable degrees of sound intolerance prior to treatment.
Preprints 197282 g002
Figure 3. Grouped boxplots illustrating Tinnitus Handicap Inventory (THI) scores for the LFS and mMIDST groups at baseline and at the 3-month follow-up. Each treatment arm is represented by a pair of adjacent boxplots: solid fill indicates baseline values, whereas hatched boxes correspond to month 3. At baseline, both groups exhibited comparable THI distributions, with similar medians and interquartile ranges, indicating equivalent initial tinnitus severity. By month 3, the mMIDST group showed a downward shift in THI scores, reflected by a reduced median and decreased dispersion, whereas the LFS group demonstrated no appreciable change over time. Within-group comparisons over time were performed using the Wilcoxon signed-rank test, revealing a statistically significant reduction in THI scores in the mMIDST group (p < 0.05), as indicated by the significance bar and asterisk. No significant within-group change was observed in the LFS group.
Figure 3. Grouped boxplots illustrating Tinnitus Handicap Inventory (THI) scores for the LFS and mMIDST groups at baseline and at the 3-month follow-up. Each treatment arm is represented by a pair of adjacent boxplots: solid fill indicates baseline values, whereas hatched boxes correspond to month 3. At baseline, both groups exhibited comparable THI distributions, with similar medians and interquartile ranges, indicating equivalent initial tinnitus severity. By month 3, the mMIDST group showed a downward shift in THI scores, reflected by a reduced median and decreased dispersion, whereas the LFS group demonstrated no appreciable change over time. Within-group comparisons over time were performed using the Wilcoxon signed-rank test, revealing a statistically significant reduction in THI scores in the mMIDST group (p < 0.05), as indicated by the significance bar and asterisk. No significant within-group change was observed in the LFS group.
Preprints 197282 g003
Figure 4. Individual changes in Tinnitus Handicap Inventory (THI) scores from baseline to 3 months are shown for both treatment groups. Each line represents a single subject, connecting baseline and 3-month assessments. Panel A corresponds to the mMIDST group and Panel B to the LFS group. THI scores are displayed on the y-axis in 20-point increments from 0 to 100. Horizontal dashed lines indicate standard THI severity categories (very mild, mild, moderate, severe, and catastrophic).
Figure 4. Individual changes in Tinnitus Handicap Inventory (THI) scores from baseline to 3 months are shown for both treatment groups. Each line represents a single subject, connecting baseline and 3-month assessments. Panel A corresponds to the mMIDST group and Panel B to the LFS group. THI scores are displayed on the y-axis in 20-point increments from 0 to 100. Horizontal dashed lines indicate standard THI severity categories (very mild, mild, moderate, severe, and catastrophic).
Preprints 197282 g004
Figure 5. Evolution of Tinnitus Handicap Inventory (THI) scores across four monthly evaluations in patients from the mMIDST group, stratified by Goldberg test results (normal vs. abnormal). At baseline, both subgroups showed similar THI scores (mean = 69). At month 1, THI values remained comparable between subgroups. At months 2 and 3, lower mean THI scores were observed in patients with normal Goldberg results compared with those with abnormal results (month 2: 51 vs. 60; month 3: 46 vs. 56). Between-group comparisons at each time point were performed using the Mann–Whitney U test, showing statistically significant differences at month 2 and month 3 (p < 0.05), as indicated by the significance brackets. Error bars represent the standard deviation.
Figure 5. Evolution of Tinnitus Handicap Inventory (THI) scores across four monthly evaluations in patients from the mMIDST group, stratified by Goldberg test results (normal vs. abnormal). At baseline, both subgroups showed similar THI scores (mean = 69). At month 1, THI values remained comparable between subgroups. At months 2 and 3, lower mean THI scores were observed in patients with normal Goldberg results compared with those with abnormal results (month 2: 51 vs. 60; month 3: 46 vs. 56). Between-group comparisons at each time point were performed using the Mann–Whitney U test, showing statistically significant differences at month 2 and month 3 (p < 0.05), as indicated by the significance brackets. Error bars represent the standard deviation.
Preprints 197282 g005
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.
Copyright: This open access article is published under a Creative Commons CC BY 4.0 license, which permit the free download, distribution, and reuse, provided that the author and preprint are cited in any reuse.
Prerpints.org logo

Preprints.org is a free preprint server supported by MDPI in Basel, Switzerland.

Subscribe

Disclaimer

Terms of Use

Privacy Policy

Privacy Settings

© 2026 MDPI (Basel, Switzerland) unless otherwise stated