Robustness and dynamicity of functional networks in phantom sound

Mohan, Anusha; Ridder, Dirk De; Vanneste, Sven

doi:10.1016/j.neuroimage.2016.04.033

Cited by 17 publications

(9 citation statements)

References 71 publications

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“…In the case of a neuropathology, we observe that the functional network undergoes a disorder-specific spatiotemporal overlap of groups of connections that are responsible for segregated encoding of the behavioral symptoms exclusive to the disorder. Such reorganization promotes an undesirable efficiency in the wiring of the disease network (Mohan et al, 2016c) and broadcasting of pathological symptoms throughout the brain.…”

Section: Discussionmentioning

confidence: 99%

“…The tinnitus network is characterized by an undesirable functional reorganization between auditory and nonauditory brain regions (Mohan et al, 2016a,b). In addition, the tinnitus network consists of a resilient core and a pliable periphery intertwined by overlapping subnetworks working in different oscillatory bands (Mohan et al, 2016c). In our previous work, we showed that although network reorganization in tinnitus is frequency band specific (Mohan et al, 2016a), these networks have overlapping brain areas across the different frequency bands (Mohan et al, 2016c).…”

Section: Introductionmentioning

confidence: 96%

“…In addition, the tinnitus network consists of a resilient core and a pliable periphery intertwined by overlapping subnetworks working in different oscillatory bands (Mohan et al, 2016c). In our previous work, we showed that although network reorganization in tinnitus is frequency band specific (Mohan et al, 2016a), these networks have overlapping brain areas across the different frequency bands (Mohan et al, 2016c). Furthermore, there also exists an evidence of networks of regions distinctly encoding the different behavioral aspects such as loudness (De Ridder et al, 2015;Vanneste and De Ridder, 2011), distress (Ueyama et al, 2013;Vanneste and De Ridder, 2011;Vanneste et al, 2010), and memory of the sensory deafferentation (De Ridder et al, 2013;Sedley et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

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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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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 96%

Section: Introductionmentioning

confidence: 99%

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

et al. 2017

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“…Apart from investigations comparing brain networks of tinnitus patients and healthy controls based on analyses with graph theory or machine learning algorithms ( Mohan et al, 2016a , b , 2017a , b ), a multitude of recent electrophysiological studies attempt to find specific correlates in neural networks for the different aspects of tinnitus ( Adjamian, 2014 ; De Ridder et al, 2015 ; Eggermont, 2015 ; Elgoyhen et al, 2015 ). These studies mainly investigated tinnitus-related distress or loudness, but also covered tinnitus type, pitch, location/laterality, duration, age of onset, day-time awareness, or related problems such as hearing loss, hyperacusis, depression, or general quality of life (a detailed summary is provided in the Supplementary Materials).…”

Section: Tinnitus Models and Electrophysiological Studiesmentioning

confidence: 99%

Neurofeedback for Tinnitus Treatment – Review and Current Concepts

Güntensperger

Thüring

Meyer

et al. 2017

Front. Aging Neurosci.

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An effective treatment to completely alleviate chronic tinnitus symptoms has not yet been discovered. However, recent developments suggest that neurofeedback (NFB), a method already popular in the treatment of other psychological and neurological disorders, may provide a suitable alternative. NFB is a non-invasive method generally based on electrophysiological recordings and visualizing of certain aspects of brain activity as positive or negative feedback that enables patients to voluntarily control their brain activity and thus triggers them to unlearn typical neural activity patterns related to tinnitus. The purpose of this review is to summarize and discuss previous findings of neurofeedback treatment studies in the field of chronic tinnitus. In doing so, also an overview about the underlying theories of tinnitus emergence is presented and results of resting-state EEG and MEG studies summarized and critically discussed. To date, neurofeedback as well as electrophysiological tinnitus studies lack general guidelines that are crucial to produce more comparable and consistent results. Even though neurofeedback has already shown promising results for chronic tinnitus treatment, further research is needed in order to develop more sophisticated protocols that are able to tackle the individual needs of tinnitus patients more specifically.

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“…Tinnitus can be a debilitating disorder commonly accompanied by noise‐related or age‐related hearing loss (König, Schaette, Kempter, & Gross, ; Negri & Schorn, ; Peelle & Wingfield, ) affecting several million people all over the world. Chronic tinnitus is widely studied in humans using neuroimaging, electrophysiological, and both invasive and noninvasive neuromodulation techniques (Claes, Stamberger, Van de Heyning, De Ridder, & Vanneste, ; De Ridder, Congedo, & Vanneste, ; De Ridder & Vanneste, ; Hullfish, Abenes, Yoo, De Ridder, & Vanneste, ; Hullfish et al, , ; Husain et al, ; Mohan, Alexandra, Johnson, De Ridder, & Vanneste, ; Mohan, De Ridder, Idiculla, DSouza, & Vanneste, ; Mohan, De Ridder, & Vanneste, , ). However, the acute phase of tinnitus has received relatively little attention.…”

Section: Introductionmentioning

confidence: 99%

Investigating functional changes in the brain to intermittently induced auditory illusions and its relevance to chronic tinnitus

Mohan

Bhamoo

Riquelme

et al. 2020

Human Brain Mapping

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Several studies have demonstrated the neural correlates of chronic tinnitus. However, we still do not understand what happens in the acute phase. Past studies have established Zwicker tone (ZT) illusions as a good human model for acute tinnitus. ZT illusions are perceived following the presentation of a notched noise stimulus, that is, broadband noise with a narrow band‐stop filter (notch). In the current study, we compared the neural correlates of the reliable perception of a ZT illusion to that which is not. We observed changes in evoked and total theta power in wide‐spread regions of the brain particularly in the temporal‐parietal junction, pregenual anterior cingulate cortex/ventromedial prefrontal cortex (pgACC/vmPFC), parahippocampus during perception of the ZT illusion. Furthermore, we observe that increased theta power significantly predicts a gradual positive change in the intensity of the ZT illusion. Such changes may suggest a malfunction of the sensory gating system that enables habituation to redundant stimuli and suppresses hyperactivity. It could also suggest a successful retrieval of the memory of the missing frequencies, resulting in their conscious perception indicating the role of higher‐order processing in the mechanism of action of ZT illusions. To establish a more concrete relationship between ZT illusion and chronic tinnitus, future longitudinal studies following up a much larger sample of participants who reliably perceive a ZT illusion to see if they develop tinnitus at a later stage is essential. This could inform us if the ZT illusion may be a precursor to chronic tinnitus.

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Robustness and dynamicity of functional networks in phantom sound

Cited by 17 publications

References 71 publications

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

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

Neurofeedback for Tinnitus Treatment – Review and Current Concepts

Investigating functional changes in the brain to intermittently induced auditory illusions and its relevance to chronic tinnitus

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