Research's Attempt to Objectively Assess Tinnitus

#121
A PhD dissertation that concludes that GPIAS works in humans.

Change in Acoustic Startle as an Indicator of Continuous Tonal Tinnitus

Abstract: Currently, there is no accepted objective measure of tinnitus in humans. The gap prepulse inhibition of acoustic startle (GPIAS) paradigm is an objective measure that has been used in the animal model to identify tinnitus based on the theory of tinnitus filling in the silent gap that would normally promote startle inhibition. The current study applied the GPIAS paradigm in human subjects with normal hearing thresholds without hyperacusis. Individuals with continuous tonal tinnitus (N=31) characterized their tinnitus by adjusting a signal to match the frequency, bandwidth, and intensity. These individual parameters were used to create maximally matched background sounds in the GPIAS paradigm for each subject. A group without tinnitus (N=8) also participated using the averaged parameter values of the background sound from the group with tinnitus. Startle inhibition percentage was calculated by comparing ocular EMG blinking amplitudes between gap embedded conditions and the condition without a gap. As expected, the group with no tinnitus revealed startle inhibition as evidenced by reduced EMG blink amplitudes when the background sound was interrupted by a silent gap prior to the startle impulse (100 dB SPL white noise). The group with tinnitus did not have a significant startle inhibition in this same condition supporting the theory that the background sound carefully matched to their tinnitus eliminated the perception of a silent gap, thereby removing the cue that would produce startle inhibition. Gradually increasing the contrast between the individual's continuous tonal tinnitus and ongoing background sound leads to a nonlinear change in startle inhibition percentage, providing guidelines for how closely the background sound needs to match the tinnitus of an individual in v order to get the expected result of no startle inhibition when tinnitus is filling in the gap. Collectively, these findings support the use of the GPIAS paradigm for objectively identifying continuous tonal tinnitus in humans. Further, certain deviations in frequency, intensity, or bandwidth in the ongoing background sound from the tinnitus match result in startle inhibition, which may help explain the inconsistent findings across human GPIAS studies and allow more confidence for animal researchers to use GPIAS for animal tinnitus studies.
 

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#122
Frédéric said:
Differences in Clinical Characteristics and Brain Activity between Patients with Low- and High-Frequency Tinnitus

This study was aimed at delineating and comparing differences in clinical characteristics and brain activity between patients with low- and high-frequency tinnitus (LFT and HFT, respectively) using high-density electroencephalography (EEG). This study enrolled 3217 patients with subjective tinnitus who were divided into LFT ( Hz) and HFT (≥4000 Hz) groups. Data regarding medical history, Tinnitus Handicap Inventory, tinnitus matching, and hearing threshold were collected from all patients. Twenty tinnitus patients and 20 volunteers were subjected to 256-channel EEG, and neurophysiological differences were evaluated using standardized low-resolution brain electromagnetic tomography (sLORETA) source-localized EEG recordings. Significant differences in sex (), age (), laterality (), intensity (), tinnitus type (), persistent tinnitus (), average threshold (), and hearing loss () were observed between LFT and HFT groups. The tinnitus pitch only appeared to be correlated with the threshold of the worst hearing loss in the HFT group. Compared with the controls, the LFT group exhibited increased gamma power (), predominantly in the posterior cingulate cortex (PCC, BA31), whereas the HFT group had significantly decreased alpha1 power () in the angular gyrus (BA39) and auditory association cortex (BA22). Higher gamma linear connectivity between right BA39 and right BA41 was observed in the HFT group relative to controls (, ). Significant changes associated with increased gamma in the LFT group and decreased alpha1 in the HFT group indicate that tinnitus pitch is crucial for matching between the tinnitus and control groups. Differences of band frequency energy in brain activity levels may contribute to the clinical characteristics and internal tinnitus "spectrum" differences.

Full article: https://www.hindawi.com/journals/np/2020/5285362/
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So when will this technology become mainstream in audiology offices?
 
#123
Well, I relay research publications even if there is no significant results.

Auditory evoked potential P300 characteristics in adults with and without idiopathic bilateral tinnitus

Background and Aim: Based on neurophysiological measurements, auditory and non-auditory pathways are involved in tinnitus. People who experience tinnitus may suffer from several problems such as attention disorder. The auditory evoked potential P300 is an endogenous response and depends on cognitive processes like attention. The purpose of this study was to compare the auditory P300 characteristics (amplitude and latency) in adults with and without tinnitus.

Methods: Participants were 20 adults with idiopathic bilateral tinnitus with mean duration of 8.4 ± 4.73 months, and 20 healthy adults. The P300 was recorded using oddball paradigm consisted of two standard (1000 Hz) and target stimuli (2000 Hz). To reduce eye blink during recording, all participants was instructed to look at and fixate on a dot sign located in front of them. The tinnitus handicap inventory (THI) was completed and pitch matching (PM) and loudness matching (LM) were measured in tinnitus group.

Results: P300 amplitude was lower at both Fz and Cz electrode placements in tinnitus patients compared to the normal group, but it was not statistically significant (p = 0.57). Tinnitus patients had delayed latency at Fz and Cz, but this difference was not significant either psychometric and psychoacoustic assessment had no statistically significant correlation with P300 amplitude and latency.

Conclusion: It seems that P300 characteristics are not different between adults with and without idiopathic bilateral tinnitus, may be due to using low sample size.
 

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#124
Neuroanatomical Alterations in Patients With Tinnitus Before and After Sound Therapy: A Combined VBM and SCN Study

Background: Many neuroanatomical alterations have been detected in patients with tinnitus in previous studies. However, little is known about morphological and structural covariance network (SCN) changes before and after long-term sound therapy. This study aimed to explore alterations in brain anatomical and SCN changes in patients with idiopathic tinnitus using voxel-based morphometry (VBM) analysis 24 weeks before and after sound therapy.

Methods: Thirty-three tinnitus patients underwent magnetic resonance imaging scans at baseline and after 24 weeks of sound therapy. Twenty-six age- and sex-matched healthy control (HC) individuals also underwent two scans over a 24-week interval; 3.0T MRI and high-resolution 3D structural images were acquired with a 3D-BRAVO pulse sequence. Structural image data preprocessing was performed using the VBM8 toolbox. The Tinnitus Handicap Inventory (THI) score was acquired in the tinnitus group to assess the severity of tinnitus and tinnitus-related distress. Two-way mixed model analysis of variance (ANOVA) and post hoc analyses were performed to determine differences between the two groups (patients and HCs) and between the two scans (at baseline and at the 24th week). Two-sample t tests, paired-samples t tests, and Pearson's correlation analysis were used in the post hoc analysis.

Results: Interaction effects between the two groups and the two scans demonstrated signicantly different gray matter (GM) volume in the right parahippocampus gyrus, right caudate, left superior temporal gyrus, left cuneus gyrus and right calcarine gyrus; we found signicantly decreased GM volume in the above ve brain regions among the tinnitus patients before sound therapy (baseline) compared to that in the HC group. The 24-week sound therapy group demonstrated signicantly greater brain volume compared with the baseline group among these brain regions. We did not nd signicant differences in brain regions between the 24-week sound therapy and HC groups. The SCN results showed that the left superior temporal gyrus and left rolandic operculum were signicantly different in nodal eciency, nodal degree centrality and nodal betweenness centrality after FDR correction. Decreased THI scores and GM volume changes between the left thalamus and right thalamus were not correlated.

Conclusions: This study characterized the effect of sound therapy on brain GM volume, especially in the left superior temporal lobe. Notably, sound therapy had a normalizing effect on tinnitus patients.

Full article: see PDF file.
 

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#125
Otoacoustic emissions and contralateral suppression in tinnitus sufferers with normal hearing

Abstract

Background
The general consensus on the role of hearing loss in generating tinnitus is not relevant in tinnitus patients with normal hearing thresholds. One source of tinnitus may be related to damage to outer hair cells (OHC) of the cochlea. If the OHC of the human cochlea are to be involved in the generation of tinnitus, testing of Otoacoustic emissions (OAE) could provide a reliable means of recording OHC dysfunction. We investigated the role of OHC and cochlear efferent system in tinnitus development in normal hearing ears through studying of Distortion Product Otoacoustic Emissions (DPOAE) and Transient Evoked Otoacoustic Emissions (TEOAE) amplitudes, contralateral suppression amplitudes and suppression value in 15 normal hearing tinnitus patients and 15 control subjects.

Results
Mean f2 DPOAE amplitudes and contralateral suppression were significantly lower in tinnitus group compared to controls for all frequencies from 1001 to 6348 Hz. Suppression values of DPOAEs revealed lower but not significant difference between tinnitus and control groups for all frequencies except 1587 and 6348 Hz. TEOAE amplitudes and contralateral suppression were significantly lower in tinnitus groups for all frequencies from 1000 to 4000 Hz compared to the control group. Suppression value of TEOAEs revealed no significant difference between the two groups for all frequencies except 3000 and 4000 Hz were significantly lower in the tinnitus group compared to the control group.

Conclusions
Normal hearing manifested by pure tone audiometry in non-vascular tinnitus sufferers does not exclude OHC and/or cochlear efferent pathology.

Full article: https://ejo.springeropen.com/articles/10.1186/s43163-020-00030-4
 
#126
Effect of age on the gap-prepulse inhibition of the cortical N1-P2 complex in humans as a step towards an objective measure of tinnitus

The gap-prepulse inhibition of the acoustic startle reflex has been widely used as a behavioral method for tinnitus screening in animal studies. The cortical-evoked potential gap-induced inhibition has also been investigated in animals as well as in human subjects. The present study aimed to investigate the effect of age on the cortical N1-P2 complex in the gap-prepulse inhibition paradigm. Fifty-seven subjects, aged 20 to 68 years, without continuous tinnitus, were tested with two effective gap conditions (embedded gap of 50- or 20-ms duration). Retest sessions were performed within one month. A significant gap-induced inhibition of the N1-P2 complex was found in both gap durations. Age differently affected the inhibition, depending on gap duration. With a 50-ms gap, the inhibition decreased significantly with the increase in age. This age-inhibition relationship was not found when using a 20-ms gap. The results were reproducible in the retest session. Our findings suggest that the interaction between age and gap duration should be considered when applying the gap-induced inhibition of the cortical-evoked potential as an objective measure of tinnitus in human subjects. Further studies with tinnitus patients are warranted to identify gap duration that would minimize the effects of age and maximize the difference in the inhibition between those with and without tinnitus.

Full article: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0241136
 
#127
Within-Subject Comparisons of the Auditory Brainstem Response and Uncomfortable Loudness Levels in Ears With and Without Tinnitus in Unilateral Tinnitus Subjects With Normal Audiograms.

Objective: To evaluate whether cochlear synaptopathy is a common pathophysiologic cause of tinnitus in individuals with normal audiograms.

Study design: Prospective study.

Setting: Tertiary referral center.

Methods: We enrolled 27 subjects with unilateral tinnitus and normal symmetric hearing thresholds, and 27 age- and sex-matched control subjects with normal symmetric hearing thresholds. We measured 1) the amplitudes of waves I and V with 90 dB nHL click stimuli in quiet conditions; 2) the latency shift of wave V with 80 dB nHL click stimuli in background noise, varying from 40 dB HL to 70 dB HL; and 3) uncomfortable loudness levels (UCLs) at 500 Hz and 3000 Hz pure tones.

Results: There were no significant differences in the wave V/I amplitude ratio or the latency shift in wave V with increasing noise levels among the tinnitus ears (TEs), nontinnitus ears (NTEs), and control ears. There were no significant differences in UCLs at 500 Hz or 3000 Hz between TEs and NTEs, but the UCLs were lower in TEs (mean 111.3 dB or 104.1 dB) and NTEs (mean 109.4 dB or 100.6 dB) than in control ears (mean 117.9 dB or 114.1 dB, p < 0.017). No subject met our criteria for cochlear synaptopathy or increased central gain in terms of all three parameters.

Conclusion: Based on these results for UCL, increased central gain is a major mechanism of tinnitus in humans with normal audiograms. However, this compensatory mechanism for reduced auditory input may originate from other pathophysiologic factors rather than from cochlear synaptopathy.

Source: https://europepmc.org/article/med/33177407
 
#128
Correlation Analysis of EEG Brain Network with Modulated Acoustic Stimulation for Chronic Tinnitus Patients

The acoustic stimulation influences of the brain is still unveiled, especially from the brain network point, which can reveal how interaction is propagated and integrated between different brain zones for chronic tinnitus patients. We specifically designed a paradigm to record the electroencephalograms (EEGs) for tinnitus patients when they were treated with consecutive acoustic stimulation neuromodulation therapy for up to 75 days, using the tinnitus handicap inventory (THI) to evaluate the tinnitus severity or the acoustic stimulation treatment efficacy, and the EEG to record the brain activities every 2 weeks. Then, we used an EEG-based coherence analysis to investigate if the changes in brain network consistent with the clinical outcomes can be observed during 75-days acoustic treatment. Finally, correlation analysis was conducted to study potential relationships between network properties and tinnitus handicap inventory score change. The EEG network became significantly weaker after long-term periodic acoustic stimulation treatment, and tinnitus handicap inventory score changes or the acoustic stimulation treatment efficacy are strongly correlated with the varying brain network properties. Long-term acoustic stimulation neuromodulation intervention can improve the rehabilitation of chronic tinnitus patients, and the EEG network provides a relatively reliable and quantitative analysis approach for objective evaluation of tinnitus clinical diagnosis and treatment.

Source: https://pubmed.ncbi.nlm.nih.gov/33216716/
 
#129
Altered effective brain network topology in tinnitus: An EEG source connectivity analysis

Tinnitus is defined as the auditory phantom perception in the absence of any objective external sound source. In this paper, we used the resting-state electroencephalography (EEG) data to reconstruct the neural sources based on the unit-noise-gain linearly constrained minimum-variance (LCMV) beamformer and applied the effective connectivity analysis on the reconstructed sources to examine the directional neuronal interactions between brain regions in tinnitus patients compared to the healthy controls. We found significantly disrupted patterns of effective connectivity in several brain areas including the frontal, temporal, and occipital cortices as well as the caudate nucleus. Particularly, significant aberrant causal couplings were observed in the orbitofrontal cortex, inferior frontal gyrus_triangular, and parahippocampal region that could potentially illustrate the auditory information retrieval, perception, and evaluation of the phantom sound in the brain of tinnitus patients. Furthermore, topological alterations of the brain network were investigated using graph theoretical analysis. Our findings demonstrated significantly decreased both global integration and segregation of the brain network in tinnitus patients accompanied by the topological shift of tinnitus network to a more random structure in the high-frequency bands. These findings were consistent with the hypothesis of the brain network deviation from small-worldness topology accompanied by reduced global integration in brain-related disorders.

https://www.sciencedirect.com/science/article/abs/pii/S1746809420304468
 
#130
Pity we don't know how these tinnitus sufferers can switch on/off their tinnitus.

Switching Tinnitus-On: Maps and Source Localization of Spontaneous EEG

Objective
To identify the spectrotemporal changes and sources in patients that could "turn on" tinnitus with multichannel electroencephalography (EEG) system.

Methods
Multichannel EEG was recorded from six patients during the Tinnitus-On and Tinnitus-Off states. The EEG power spectrum and eLORETA-based sources were measured.

Results
There was a global increase in delta and theta during Tinnitus-On plus large changes in alpha 1 and alpha 2. During the Tinnitus-On state, many new sources in delta, theta, alpha 1 and gamma bands emerged in the opposite hemisphere in the inferior temporal gyrus (Brodmann area, BA 20), middle temporal gyrus (BA 21), lateral perirhinal cortex (BA 36), ventral entorhinal cortex (BA 28) and anterior pole of the temporal gyrus (BA 38).

Conclusions
The emergence of new delta, theta and gamma band sources in the inferior temporal gyrus (BA 20), middle temporal gyrus (BA 21) and lateral perirhinal cortex (BA 36) plus the appearance of new delta and theta sources in the ventral entorhinal cortex (BA28) and anterior pole of the temporal lobe (BA 38) may comprise a network capable of evoking the phantom sound of tinnitus by simultaneously engaging brain regions involved in memory, sound recognition, and distress which together contribute to tinnitus severity.

Significance
The sudden appearance of new sources of activity in the opposite hemisphere within the inferior temporal gyrus, middle temporal gyrus and perirhinal cortex may initiate the perception of tinnitus perception.

Source: https://www.sciencedirect.com/science/article/abs/pii/S1388245720305575
 
#131
An article on trends in otologic research:

Clinical trials in otology: Examining trends and framework for prioritization

Results
There were 992 otology clinical trials from 2008 to 2018.457 (46.1%) were completed and 94 (9.5%) were discontinued. Industry remained the highest (76.5%) contributor to otology clinical trials. The otologic conditions studied, from most common to least common, include hearing loss (40.6%), vestibulopathy (18.8%), tinnitus (18.8%), and otitis media (15.1%). The number of otology clinical trials increased by an average of 12.0 trials per year from 2008 to 2018 (p < 0.001). The number of otology clinical trials focusing on hearing loss and vestibulopathy significantly increased over the studied period (p < 0.001), while those focusing on tinnitus and otitis media did not (p = 0.09 and p = 0.20, respectively). The majority of clinical trials on each of these four conditions focused on treatment options.

Conclusion
Our study describes trends in otology clinical trials registered on clinicaltrials.gov from 2008 through 2018. The total number of clinical trials over this time period increased significantly, driven by trials investigating hearing loss and vestibulopathy. Furthermore, most clinical trials were industry-sponsored and focused on treatment modalities. Our study provides an outline of otology clinical trials registered in a US web-based database, which may be of use for the development of future clinical trials.
 
#132
Frédéric said:
I just wanted to start a thread gathering experiences trying to objectively assess tinnitus (I did not find a thread for this subject in this forum).

Tinnitus alters resting state functional connectivity (RSFC) in human auditory and non-auditory brain regions as measured by functional near-infrared spectroscopy (fNIRS)

Abstract
Tinnitus, or phantom sound perception, leads to increased spontaneous neural firing rates and enhanced synchrony in central auditory circuits in animal models. These putative physiologic correlates of tinnitus to date have not been well translated in the brain of the human tinnitus sufferer. Using functional near-infrared spectroscopy (fNIRS) we recently showed that tinnitus in humans leads to maintained hemodynamic activity in auditory and adjacent, non-auditory cortices. Here we used fNIRS technology to investigate changes in resting state functional connectivity between human auditory and non-auditory brain regions in normal-hearing, bilateral subjective tinnitus and controls before and after auditory stimulation. Hemodynamic activity was monitored over the region of interest (primary auditory cortex) and non-region of interest (adjacent non-auditory cortices) and functional brain connectivity was measured during a 60-second baseline/period of silence before and after a passive auditory challenge consisting of alternating pure tones (750 and 8000Hz), broadband noise and silence. Functional connectivity was measured between all channel-pairs. Prior to stimulation, connectivity of the region of interest to the temporal and fronto-temporal region was decreased in tinnitus participants compared to controls. Overall, connectivity in tinnitus was differentially altered as compared to controls following sound stimulation. Enhanced connectivity was seen in both auditory and non-auditory regions in the tinnitus brain, while controls showed a decrease in connectivity following sound stimulation. In tinnitus, the strength of connectivity was increased between auditory cortex and fronto-temporal, fronto-parietal, temporal, occipito-temporal and occipital cortices. Together these data suggest that central auditory and non-auditory brain regions are modified in tinnitus and that resting functional connectivity measured by fNIRS technology may contribute to conscious phantom sound perception and potentially serve as an objective measure of central neural pathology.
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From the same team, investigation is enhanced via probes placed in the auditory canal.

Tinnitus and auditory cortex; Using adapted functional near‐infrared‐spectroscopy to expand brain imaging in humans

Objectives
Phantom sound perception (tinnitus) may arise from altered brain activity within auditory cortex. Auditory cortex neurons in tinnitus animal models show increased spontaneous firing rates. This may be a core characteristic of tinnitus. Functional near‐infrared spectroscopy (fNIRS) has shown similar findings in human auditory cortex. Current fNIRS approaches with cap recordings are limited to ∼3 cm depth of signal penetration due to the skull thickness. To address this limitation, we present an innovative fNIRS approach via probes adapted to the external auditory canal. The adapted probes were placed deeper and closer to temporal lobe of the brain to bypass confining skull bone and improve neural recordings.

Methods
Twenty adults with tinnitus and 20 nontinnitus controls listened to periods of silence and broadband noise (BBN) during standard cap and adapted ear canal fNIRS neuroimaging. The evaluators were not blinded, but the protocol and postprocessing for the two groups were identical.

Results
Standard fNIRS measurements in participants with tinnitus revealed increased auditory cortex activity during silence that was suppressed during auditory stimulation with BBN. Conversely, controls displayed increased activation with noise but not during silence. Importantly, adapted ear canal fNIRs probes showed similar hemodynamic responses seen with cap probes in both tinnitus and controls.

Conclusions
In this proof of concept study, we have successfully fabricated, adapted, and utilized a novel fNIRS technology that replicates established findings from traditional cap fNIRS probes. This exciting new innovation, validated by replicating previous and current cap findings in auditory cortex, may have applications to future studies to investigate brain changes not only in tinnitus but in other pathologic states that may involve the temporal lobe and surrounding brain regions.
 
#133
Finally, some researchers revisited this fundamental question and conducted this experiment. Unfortunately, the results indicate that tinnitus may be even more complex than we previously thought:

Resting-state Functional MRI Study of Mice with Tinnitus Induced by Traumatic Noise Exposure and Sodium Salicylate Overdose

Tinnitus, a phantom auditory sensation, significantly impacts quality of life and social interactions. While central gain changes, including hyperactivity and increased neural synchrony, have been implicated in tinnitus, the underlying neural mechanisms remain unclear. This study utilized resting...
www.researchsquare.com www.researchsquare.com
 
#134
Why they use mice, which are poor models for this condition, I will never know. Guinea pigs and gerbils are more standardized for auditory research.
 
#136
I think we all knew their conclusion intuitively (that tinnitus arising from different causes can have different characteristics), but it's nice to see someone study it systematically. Thanks for posting.
 
#137
Varda said:
I don't need a scientist to "objectively assess" whether or not I have tinnitus. I just need a cure.
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To effectively study treatment outcomes, an objective standard of measurement is essential. Take CBT as an example. A new patient's Tinnitus Handicap Index might be assessed at both the beginning and end of treatment. The Tinnitus Handicap Index, however, is subjective, and it could naturally decrease over time due to habituation, even if the tinnitus itself remains objectively unchanged. If we had a reliable way to objectively measure tinnitus, research could focus on finding meaningful cures instead of relying solely on subjective reports. This distinction is crucial not only for demonstrating that treatments truly impact tinnitus but also for persuading insurance companies to cover these treatments. When treatments rely only on subjective reporting, they can be more easily dismissed as experimental, lacking solid clinical data.
 
#138
Varda said:
I don't need a scientist to "objectively assess" whether or not I have tinnitus. I just need a cure.
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We all agree that finding a cure is essential. The title of this thread could be improved. I might have titled it something like: "Comprehensive Publications to Explore Brain Systems (including the oto-neurologic system) for Understanding the Pathophysiology of Tinnitus." This title would reflect the goal of examining the different pathophysiologies of tinnitus based on its various causes.

The best way to cure tinnitus (or tinnituses, if there's a plural form) is to understand these underlying pathophysiologies, except for the rare chance of a serendipitous discovery. And @IYIiKe is absolutely correct regarding the role of insurance companies (or state insurance, depending on the country) in this matter.

Again, I apologize for any mistakes in my English, as it is not my native language.
 
#139
#140
#141
So, there is a biological difference between mild tinnitus and severe tinnitus:

Neural Mechanisms of Tinnitus:An Exploration from the Perspective of Varying Severity Levels

And there is a biological difference between acute tinnitus and chronic tinnitus:

Decoding Tinnitus Progression: Neurochemical Shifts in the Anterior Cingulate Cortex Revealed by Magnetic Resonance Spectroscopy

So what if you have:
  • An acute mild tinnitus,
  • An acute severe tinnitus,
  • A chronic mild tinnitus,
  • A chronic severe tinnitus.
 
#142
@Frédéric, I have to say that I am bowled over by your depth of scholarship. To be able to plow through all these scientific papers and understand them, especially when English is not your native language, is amazing. Hazel, Marcu! Put that man on the payroll or give him a promotion.

In trying to get a layman's handle on things, I would suggest a top-down broad classification of the papers:

a) Studies on the cochlea in a petri dish — I'm sure the med students can do that part in their sleep by now.
b) Studies on the cochlea in vivo.
c) Research on the hearing nerve.
d) Papers dealing with the brain — and that has its own subclassifications too.
e) Research focused on integrating all these elements.

I wonder if some genius has tried to develop a computer model of the auditory system, including the brain's role in processing sound.

Years ago, I heard an ENT specialist mention that there is simply too much to learn in his profession. First, you have to go through medical school, then specialize as an ENT, complete the practicum to become an ENT, and then further specialize — in something like tinnitus, for example. Next thing you know, you're ready to retire! ☕

There's certainly a case to be made for medical schools to find ways to fast-track this entire process.
 
#143
Joeseph Stope said:
@Frédéric, I have to say that I am bowled over by your depth of scholarship. To be able to plow through all these scientific papers and understand them, especially when English is not your native language, is amazing. Hazel, Marcu! Put that man on the payroll or give him a promotion.

In trying to get a layman's handle on things, I would suggest a top-down broad classification of the papers:

a) Studies on the cochlea in a petri dish — I'm sure the med students can do that part in their sleep by now.
b) Studies on the cochlea in vivo.
c) Research on the hearing nerve.
d) Papers dealing with the brain — and that has its own subclassifications too.
e) Research focused on integrating all these elements.

I wonder if some genius has tried to develop a computer model of the auditory system, including the brain's role in processing sound.

Years ago, I heard an ENT specialist mention that there is simply too much to learn in his profession. First, you have to go through medical school, then specialize as an ENT, complete the practicum to become an ENT, and then further specialize — in something like tinnitus, for example. Next thing you know, you're ready to retire! ☕

There's certainly a case to be made for medical schools to find ways to fast-track this entire process.
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@Joeseph Stope, thank you very much for your compliments; I am very flattered. As I have already mentioned on this forum, it is thanks to a Google Scholar alert with the keyword "tinnitus" that I set myself the goal of reviewing the publications (around 10 are released almost daily) and selecting only the relevant ones to share with you. Many others could do this—and much better than me, in fact.

Over time, I have not acquired in-depth knowledge, strictly speaking, but rather a broad overall understanding (in French, we say "a varnish," meaning a surface-level covering) of the state of tinnitus research.
 
#144
#145
Very strange study:
  1. "Using combined viral tracing methodologies, we identified and mapped the pathways and connections from the IC to the MGB." This is the first time I have heard of this method or this possibility.

  2. The study was conducted on mice, but it says: "We used Gq-coupled human M3 designer receptors exclusively activated by designer drugs (DREADDs) and Gi-coupled human M4 DREADDs, allowing targeted control of GABAergic neurons through excitation or suppression in the IC and MGB regions." I find this very confusing.

  3. "This finding suggests that activation of the IC–MGB GABAergic neural circuit (by administration of Clozapine N-oxide) may contribute to tinnitus generation, but through a mechanism that is distinct from salicylate-induced tinnitus." So does this mean Clozapine N-oxide cannot trigger tinnitus on its own, but it can aggravate an existing case?
pubmed.ncbi.nlm.nih.gov

Activation of the GABAergic neural circuit in salicylate-induced tinnitus: from the inferior colliculus to the medial geniculate body - PubMed

This finding suggests that activation of the IC-MGB GABAergic neural circuit may contribute to tinnitus generation, but through a mechanism that is distinct from salicylate-induced tinnitus. This study provided novel insights into the mechanisms underlying tinnitus.
pubmed.ncbi.nlm.nih.gov pubmed.ncbi.nlm.nih.gov
 
#146
Frédéric said:
Very strange study:
  1. "Using combined viral tracing methodologies, we identified and mapped the pathways and connections from the IC to the MGB." This is the first time I have heard of this method or this possibility.

  2. The study was conducted on mice, but it says: "We used Gq-coupled human M3 designer receptors exclusively activated by designer drugs (DREADDs) and Gi-coupled human M4 DREADDs, allowing targeted control of GABAergic neurons through excitation or suppression in the IC and MGB regions." I find this very confusing.

  3. "This finding suggests that activation of the IC–MGB GABAergic neural circuit (by administration of Clozapine N-oxide) may contribute to tinnitus generation, but through a mechanism that is distinct from salicylate-induced tinnitus." So does this mean Clozapine N-oxide cannot trigger tinnitus on its own, but it can aggravate an existing case?
pubmed.ncbi.nlm.nih.gov

Activation of the GABAergic neural circuit in salicylate-induced tinnitus: from the inferior colliculus to the medial geniculate body - PubMed

This finding suggests that activation of the IC-MGB GABAergic neural circuit may contribute to tinnitus generation, but through a mechanism that is distinct from salicylate-induced tinnitus. This study provided novel insights into the mechanisms underlying tinnitus.
pubmed.ncbi.nlm.nih.gov pubmed.ncbi.nlm.nih.gov
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It is fascinating if scientists are truly homing in on how tinnitus is generated on the brain side of things. If we combine this with the new methods of scanning the cochlea, perhaps we will finally begin to understand the nature of the beast from both the brain side and the ear side.

I have always found the connection—or perhaps the lack of connection—between what is happening in the brain (such as the dorsal cochlear nucleus) and what is happening in the cochlea to be both curious and interesting. In my case, with reactive chronic tinnitus and hyperacusis, the input of loud noise causes my tinnitus to spike.

Does that noise input also alter something in the cochlea, as well as in the brain?

Regarding the bolded part you mentioned, I would guess they are making a distinction between salicylate-induced tinnitus and, for example, noise-induced tinnitus.
 
#147
Frédéric said:
Speech comprehension and its relation to other auditory parameters in elderly patients with tinnitus
Zbyněk Bureš1, 2*, View attachment 31429Oliver Profant1, 3, View attachment 31430Veronika Svobodová1, 3, Diana Tóthová1, 3, View attachment 31431Václav Vencovský1, 4 and View attachment 31432Josef Syka1

Source: https://www.frontiersin.org/articles/10.3389/fnagi.2019.00219/abstract
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I've just been browsing a few of these articles.

I found one that discusses an "extended audiogram," which consists of 14 data points across a range up to 16,000 Hz. That means out of a possible 16,000 data points, only 14 are actually measured.

The core issue here is that far too few data points are used. On top of that, the selected frequencies are not evenly spaced. For example, in this particular study, the authors used the following frequency intervals:
  • 0.125 to 0.25 kHz = 125 Hz distance
  • 0.25 to 0.5 kHz = 250 Hz distance
  • 0.5 to 0.71 kHz = 210 Hz distance
  • 0.71 to 1 kHz = 290 Hz distance
  • 1 to 1.6 kHz = 600 Hz distance
  • 1.6 to 2 kHz = 400 Hz distance
  • 2 to 3.15 kHz = 1,150 Hz distance
  • 3.15 to 4 kHz = 630 Hz distance
  • 4 to 6.3 kHz = 2,300 Hz distance
  • 6.3 to 8 kHz = 1,700 Hz distance
  • 8 to 10 kHz = 2,000 Hz distance
  • 10 to 12.5 kHz = 2,500 Hz distance
  • 12.5 to 16 kHz = 3,500 Hz distance
The problem from the outset is that these measurement points appear to be chosen based on their position along a predefined stepped logarithmic scale. While the resulting audiogram might form a smooth curve when plotted on a log scale, too much data is missing in between.

This means the researcher is missing a significant amount of information right from the beginning. Such sparse and uneven data point selection can obscure the true state of the patient's hearing capacity.

This practice may also contribute to the use of the term hidden hearing loss when, in fact, a more detailed and evenly sampled measurement would reveal the hearing loss clearly. The problem stems not from an invisible condition, but from insufficient measurement resolution. This does not benefit the researcher or the patient.

In addition, this study applied the dB-HL algorithm to the data before presenting it, rather than using the raw values. The dB-HL algorithm down-weights both high and low frequency measurements.

The reason often given is to avoid alarming patients with raw audiogram data that shows reduced hearing capacity at the low and high ends of the frequency range, something considered "normal" in human hearing.

But researchers are not patients. They are not emotionally affected by the data and do not need to mask results to soften their impact.

Researchers should work with raw hearing data instead of applying the dB-HL algorithm.

And they should use far more data points, sampled at smaller intervals, to get a more accurate representation of the patient's hearing profile.
 

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