Phase-shift treatment for tinnitus of cochlear origin

Meeus, Olivier; Heyndrickx, K.; Lambrechts, Peggy; Ridder, Dirk De; Heyning, Paul Van de

doi:10.1007/s00405-009-1145-y

Cited by 26 publications

(19 citation statements)

References 14 publications

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“…The intensity of this tone was then adjusted in a similar way until it corresponded to the perceived loudness of the patient’s tinnitus. The tinnitus loudness (dB SL) was computed by subtracting the absolute tinnitus loudness (dB HL) from the audiometric threshold at that frequency 30 31 . See Table 1 for an overview of the tinnitus characteristics.…”

Section: Methodsmentioning

confidence: 99%

Graph theoretical analysis of brain connectivity in phantom sound perception

Mohan

Ridder

Vanneste

2016

Sci Rep

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Tinnitus is a phantom sound commonly thought of to be produced by the brain related to auditory deafferentation. The current study applies concepts from graph theory to investigate the differences in lagged phase functional connectivity using the average resting state EEG of 311 tinnitus patients and 256 healthy controls. The primary finding of the study was a significant increase in connectivity in beta and gamma oscillations and a significant reduction in connectivity in the lower frequencies for the tinnitus group. There also seems to be parallel processing of long-distance information between delta, theta, alpha1 and gamma frequency bands that is significantly stronger in the tinnitus group. While the network reorganizes into a more regular topology in the low frequency carrier oscillations, development of a more random topology is witnessed in the high frequency oscillations. In summary, tinnitus can be regarded as a maladaptive ‘disconnection’ syndrome, which tries to both stabilize into a regular topology and broadcast the presence of a deafferentation-based bottom-up prediction error as a result of a top-down prediction.

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Section: Methodsmentioning

confidence: 99%

Graph theoretical analysis of brain connectivity in phantom sound perception

Mohan

Ridder

Vanneste

2016

Sci Rep

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“…The perceived loudness was matched to the intensity of the tone in a similar way. The tinnitus loudness in dB SL was computed as a difference between the absolute tinnitus loudness in dB HL and the audiometric threshold at the tinnitus frequency (Meeus, De Ridder, & Van de Heyning, 2011;Meeus, Heyndrickx, Lambrechts, De Ridder, & Van de Heyning, 2009).…”

Section: Patients With An Auditory Phantom Perceptmentioning

confidence: 99%

Distress‐dependent temporal variability of regions encoding domain‐specific and domain‐general behavioral manifestations of phantom percepts

Mohan

Ridder

Idiculla

et al. 2018

Eur J of Neuroscience

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Tinnitus is the perception of a phantom sound characterized behaviorally by a loudness and a distress component. Although a wealth of information is available about the relationship between these behavioral correlates and changes in static functional connectivity, its relationship with dynamic changes in network connectivity is yet unexplored. The aim of this study was thus to investigate changes in the flexibility and stability of temporal variability in tinnitus and its relation to loudness and distress using continuous resting-state EEG. We observe an increase in temporal variability at the whole-brain level in tinnitus, which is spatiotemporally distributed at the nodal level. Behaviorally, we observe changes in the relationship between temporal variability and loudness and distress depending on the amount of distress experienced. In patients with low distress, there is no relationship between temporal variability and loudness or distress, demonstrating a resilience in dynamic connectivity of the brain. However, patients with high distress exhibit a direct relationship with increasing loudness in the primary auditory cortex and parahippocampus, and an inverse relationship with increasing distress in the parahippocampus. In tinnitus, the specific sensory (loudness) component related to increased temporal variability possibly reflects a Bayesian search for updating deafferentation-based missing information. On the other hand, the decreased temporal variability related to the nonspecific distress component possibly reflects a more hard-wired or less adaptive contextual processing. Therefore, our findings may reveal a way to understand the changes in network dynamics not just in tinnitus, but also in other brain disorders.

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“…The intensity of the pure tone was changed to determine the loudness of the percept. Tinnitus loudness level (dB SL) (M = 7.85 dB SL, SD = 8.78) was then calculated by subtracting the absolute loudness level from the audiometric threshold at the tinnitus frequency (M = 5143 Hz, SD = 3183) (Meeus et al, 2010(Meeus et al, , 2011. A visual analogue scale for loudness (VAS) (''How loud is your tinnitus?…”

Section: Subject Groupsmentioning

confidence: 99%

Evidence for Behaviorally Segregated, Spatiotemporally Overlapping Subnetworks in Phantom Sound Perception

et al. 2017

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One of the most intriguing questions in neuroscience is to understand the mechanism of information transfer between different brain areas. Recently, network theory has gained traction and is at the forefront of providing a possible explanation to not only the mechanism of information transfer but also in the identification of different neuropathologies. The perception of a phantom ringing in the ear called tinnitus, similar to other neuropathologies, has been shown to be accompanied by aberrant functional connectivity between different brain areas. Although, there have been independent studies showing that specific groups of areas encode individual symptoms of tinnitus, there has not been one study to show that tinnitus is the unified percept of distinguishable subnetworks encoding different behavioral aspects. This study combines resting-state functional connectivity obtained from the source-localized electroencephalography of 311 tinnitus patients and 264 controls, and a k-fold cross-validation machine learning algorithm to develop a predictive model that verifies the presence of behaviorally specific, spatiotemporally overlapping subnetworks in tinnitus. This reorganization is found to be exclusive to tinnitus, even when compared to physiologically similar disorders such as chronic pain, with each behavioral symptom having a unique oscillatory signature. This frequency-specific transmission of information, called multiplexing, enables different types of information to be carried between two brain regions through the same anatomical connection. In addition to understanding the efficient compensation mechanism of the brain in the presence of multisymptom disorders, the exclusivity of the prediction model presents an encouraging possibility for an objective neural marker for tinnitus.

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Phase-shift treatment for tinnitus of cochlear origin

Cited by 26 publications

References 14 publications

Graph theoretical analysis of brain connectivity in phantom sound perception

Graph theoretical analysis of brain connectivity in phantom sound perception

Distress‐dependent temporal variability of regions encoding domain‐specific and domain‐general behavioral manifestations of phantom percepts

Evidence for Behaviorally Segregated, Spatiotemporally Overlapping Subnetworks in Phantom Sound Perception

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