Generation of acoustic stimuli from a modeled cochlear implant-induced neural activation pattern

2004 ◽  
Vol 1273 ◽  
pp. 52-55
Author(s):  
C.-H. Huang ◽  
J.B. Laflen ◽  
T.M. Talavage
Keyword(s):  
Cochlear Implant ◽  
Neural Activation ◽  
Activation Pattern ◽  
Acoustic Stimuli

scholarly journals The Panoramic ECAP Method: estimating patient-specific patterns of current spread and neural health in cochlear implant users

2020 ◽  
Author(s):  
Charlotte Garcia ◽  
Tobias Goehring ◽  
Stefano Cosentino ◽  
Richard E Turner ◽  
John M. Deeks ◽  
...  
Keyword(s):  
Cochlear Implant ◽  
Electrode Array ◽  
Significant Negative Correlation ◽  
Patient Specific ◽  
Clinical Settings ◽  
Neural Activation ◽  
Activation Patterns ◽  
Current Spread ◽  
Compound Action Potentials ◽  
In Cis

The knowledge of patient-specific neural excitation patterns from cochlear implants can provide important information for optimising efficacy and improving speech perception outcomes. The Panoramic ECAP (or ‘PECAP’) method (Cosentino, et al., 2015) uses forward-masked electrically evoked compound action potentials (ECAPs) to estimate neural activation patterns of cochlear implant (CI) stimulation. The algorithm requires ECAPs be measured for loudness-balanced stimuli from all combinations of probe and masker electrodes, and takes advantage of ECAP amplitudes being a result of the overlapping excitatory areas of both probes and maskers. Here we present an improved version of the PECAP algorithm that imposes biologically realistic constraints on the solution and produces separate estimates of current spread and neural health along the length of the electrode array. The algorithm was evaluated for reliability and accuracy in three ways: (1) computer-simulated current-spread and neural-health scenarios, (2) comparisons to psychophysical correlates of neural health and electrode-modiolus distances in human CI users, and (3) detection of simulated neural ‘dead’ regions (using forward masking) in human CI users. The PECAP algorithm reliably estimated the computer simulated scenarios. A moderate but significant negative correlation between focused thresholds and PECAP’s neural health estimates was found, consistent with previous literature. It also correctly identified simulated dead regions in seven CI users. The revised PECAP algorithm provides an estimate of the electrode-to-neuron interface in CIs that could be used to inform and optimize CI stimulation strategies for individual patients in clinical settings.

scholarly journals Pitch Comparisons between Electrical Stimulation of a Cochlear Implant and Acoustic Stimuli Presented to a Normal-hearing Contralateral Ear

2010 ◽  
Vol 11 (4) ◽  
pp. 625-640 ◽  
Author(s):  
Robert P. Carlyon ◽  
Olivier Macherey ◽  
Johan H. M. Frijns ◽  
Patrick R. Axon ◽  
Randy K. Kalkman ◽  
...  
Keyword(s):  
Electrical Stimulation ◽  
Cochlear Implant ◽  
Normal Hearing ◽  
Acoustic Stimuli ◽  
Contralateral Ear ◽  
Stimulation Of

scholarly journals Brain Activation Patterns in Response to Conspecific and Heterospecific Social Acoustic Signals in Female Plainfin Midshipman Fish, Porichthys notatus

2018 ◽  
Vol 91 (1) ◽  
pp. 31-44 ◽  
Author(s):  
Robert A. Mohr ◽  
Yiran Chang ◽  
Ashwin A. Bhandiwad ◽  
Paul M. Forlano ◽  
Joseph A. Sisneros
Keyword(s):  
Auditory System ◽  
Ambient Noise ◽  
Acoustic Signals ◽  
Early Gene ◽  
Torus Semicircularis ◽  
Neural Activation ◽  
Advertisement Calls ◽  
Acoustic Stimuli ◽  
Porichthys Notatus ◽  
Plainfin Midshipman

While the peripheral auditory system of fish has been well studied, less is known about how the fish’s brain and central auditory system process complex social acoustic signals. The plainfin midshipman fish, Porichthys notatus, has become a good species for investigating the neural basis of acoustic communication because the production and reception of acoustic signals is paramount for this species’ reproductive success. Nesting males produce long-duration advertisement calls that females detect and localize among the noise in the intertidal zone to successfully find mates and spawn. How female midshipman are able to discriminate male advertisement calls from environmental noise and other acoustic stimuli is unknown. Using the immediate early gene product cFos as a marker for neural activity, we quantified neural activation of the ascending auditory pathway in female midshipman exposed to conspecific advertisement calls, heterospecific white seabass calls, or ambient environment noise. We hypothesized that auditory hindbrain nuclei would be activated by general acoustic stimuli (ambient noise and other biotic acoustic stimuli) whereas auditory neurons in the midbrain and forebrain would be selectively activated by conspecific advertisement calls. We show that neural activation in two regions of the auditory hindbrain, i.e., the rostral intermediate division of the descending octaval nucleus and the ventral division of the secondary octaval nucleus, did not differ via cFos immunoreactive (cFos-ir) activity when exposed to different acoustic stimuli. In contrast, female midshipman exposed to conspecific advertisement calls showed greater cFos-ir in the nucleus centralis of the midbrain torus semicircularis compared to fish exposed only to ambient noise. No difference in cFos-ir was observed in the torus semicircularis of animals exposed to conspecific versus heterospecific calls. However, cFos-ir was greater in two forebrain structures that receive auditory input, i.e., the central posterior nucleus of the thalamus and the anterior tuberal hypothalamus, when exposed to conspecific calls versus either ambient noise or heterospecific calls. Our results suggest that higher-order neurons in the female midshipman midbrain torus semicircularis, thalamic central posterior nucleus, and hypothalamic anterior tuberal nucleus may be necessary for the discrimination of complex social acoustic signals. Furthermore, neurons in the central posterior and anterior tuberal nuclei are differentially activated by exposure to conspecific versus other acoustic stimuli.

scholarly journals SpeedCAP: An Efficient Method for Estimating Neural Activation Patterns Using Electrically-Evoked Compound Action-Potentials in Cochlear Implant Users

2021 ◽  
Author(s):  
Charlotte Garcia ◽  
John M. Deeks ◽  
Tobias Goehring ◽  
Daniele Borsetto ◽  
Manohar Bance ◽  
...  
Keyword(s):  
Data Collection ◽  
Cochlear Implant ◽  
Action Potentials ◽  
Forward Masking ◽  
Patient Specific ◽  
Neural Activation ◽  
Current Spread ◽  
Wide Range ◽  
Compound Action Potentials ◽  
Compound Action

Objectives: Electrically-Evoked Compound Action-Potentials (ECAPs) can be recorded using the electrodes in a cochlear implant (CI) and represent the synchronous responses of the electrically-stimulated auditory-nerve. ECAPs can be obtained using a forward-masking method that measures the neural response to a probe and masker electrode separately and in combination. The Panoramic ECAP (PECAP) method measures ECAPs using multiple combinations of masker and probe electrodes and uses a nonlinear optimization algorithm to estimate current spread from each electrode and neural health along the cochlea. However, the measurement of ECAPs from multiple combinations of electrodes is too time-consuming for use in clinics. This study proposes and evaluates a fast version of the PECAP measurements, SpeedCAP, that minimises recording time by exploiting redundancies between multiple ECAP measures, and that can be applied to methods where multiple ECAPs are required. Design: In the first study, 11 users of Cochlear Limited CIs took part. ECAPs were recorded using the forward-masking artefact-cancellation technique at the most comfortable loudness level (MCL) for every combination of masker and probe electrodes for all active electrodes in the users’ MAPs, as per the standard PECAP recording paradigm. The same current levels and recording parameters were then used to collect ECAPs in the same users with the SpeedCAP method. The ECAP amplitudes were then compared between the two conditions, as were the corresponding estimates of neural health and current spread calculated using the PECAP method described by Garcia et al (2021). The second study measured SpeedCAP intra-operatively in 8 CI patients and with all maskers and probes presented at the same current level to assess feasibility. ECAPs for the subset of conditions where the masker and probe were presented on the same electrode were compared to those obtained using the slower approach leveraged by the standard clinical software. Results: Data collection time was reduced from 45 (PECAP) to 8 (SpeedCAP) minutes. There were no significant differences between normalized root mean squared error (RMSE) repeatability metrics for post-operative PECAP and SpeedCAP data, nor for the RMSEs calculated between PECAP and SpeedCAP data. When between-participant differences were removed, both the neural health (r = 0.73) and current spread (r = 0.65) estimates were significantly correlated (p < 0.0001, df = 218) between SpeedCAP and PECAP conditions across all electrodes. Valid ECAPs were obtained in all patients in the second study, demonstrating intra-operative feasibility of SpeedCAP. No significant differences in RMSEs were detectable between post- and intra-operative ECAP measurements. Conclusions: The improved efficiency of SpeedCAP provides time savings facilitating multi-electrode ECAP recordings in routine clinical practice. The SpeedCAP data collection is sufficiently quick to record intra-operatively, and adds no significant error to the ECAP amplitudes. Such measurements could thereafter be submitted to models such as PECAP to provide patient-specific patterns of neural activation to inform programming of clinical MAPs and/or identify causes of poor performance at the electrode-nerve interface of CI users. The speed and accuracy of these measurements also opens up a wide range of additional research questions to be addressed.

scholarly journals Active and passive processing of novel acoustic stimuli in cochlear-implant patients: An EEG study

2018 ◽  
Author(s):  
I Schierholz ◽  
C Schönermark ◽  
B Kopp ◽  
T Lenarz ◽  
A Kral ◽  
...  
Keyword(s):  
Cochlear Implant ◽  
Acoustic Stimuli

Neural activation pattern in self-deceivers

2010 ◽  
Vol 55 (1) ◽  
pp. 71-76 ◽  
Author(s):  
Meena Sharma ◽  
Shilpi Modi ◽  
Subash Khushu ◽  
Manas K. Mandal
Keyword(s):  
Neural Activation ◽  
Activation Pattern

Tinnitus Suppression in Cochlear Implant Patients Using a Sound Therapy App

2018 ◽  
Vol 27 (3) ◽  
pp. 316-323 ◽  
Author(s):  
Richard S. Tyler ◽  
Rachael L. Owen ◽  
Julie Bridges ◽  
Phillip E. Gander ◽  
Ann Perreau ◽  
...  
Keyword(s):  
Individual Differences ◽  
Cochlear Implant ◽  
Tinnitus Questionnaire ◽  
Therapy Options ◽  
Overall Acceptability ◽  
Acoustic Stimuli ◽  
Sound Therapy ◽  
Acoustic Hearing ◽  
Tinnitus Therapy

Purpose The use of acoustic stimuli to reduce the prominence of tinnitus has been used for decades. Counseling and tinnitus sound therapy options are not currently widespread for cochlear implant (CI) users. The goal of this study was to determine whether tinnitus therapy sounds created for individuals with acoustic hearing may also benefit CI users. Method Sixteen sounds from the ReSound Relief app (Version 3.0) were selected for the study. Sixteen participants were asked to rate the overall acceptability of each sound and to write the description of the sound they perceived. Sounds were streamed from an Apple™ iPod (6th generation) to the CI using a Cochlear™ Wireless Mini Microphone 2+. Thirteen participants then completed a 5-min trial where they rated their pretrial and posttrial tinnitus and the acceptability of a subset of preferred sounds. Ten out of these 13 participants completed a 2-week home trial with a preferred sound after which they answered an online tinnitus questionnaire and rated the effectiveness of the sound therapy. Results Individual differences were large. Results from the 5-min trial showed that sounds perceived as rain, music, and waves were rated the most acceptable. For all of the participants, the posttrial tinnitus loudness rating was lower than the pretrial rating, with some participants experiencing greater difference in their tinnitus loudness than others. At the end of the 2-week home trial, 3 of 10 participants rated the effectiveness of sound therapy 70% or higher. Conclusion The results suggest that the use of tinnitus therapy sounds delivered through a CI can be acceptable and provides relief for some tinnitus sufferers.

Cerebral Processing of Emotionally Loaded Acoustic Signals by Tinnitus Patients

2016 ◽  
Vol 21 (2) ◽  
pp. 80-87 ◽  
Author(s):  
Petra Georgiewa ◽  
Agnieszka J. Szczepek ◽  
Matthias Rose ◽  
Burghard F. Klapp ◽  
Birgit Mazurek
Keyword(s):  
Emotional Processing ◽  
Stress Reactivity ◽  
Statistical Parametric Mapping ◽  
Neutral Stimulus ◽  
Brain Network ◽  
Temporal Association ◽  
Activation Pattern ◽  
Acoustic Stimuli ◽  
Control Subjects ◽  
Scanning Procedure

This exploratory study determined the activation pattern in nonauditory brain areas in response to acoustic, emotionally positive, negative or neutral stimuli presented to tinnitus patients and control subjects. Ten patients with chronic tinnitus and without measurable hearing loss and 13 matched control subjects were included in the study and subjected to fMRI with a 1.5-tesla scanner. During the scanning procedure, acoustic stimuli of different emotional value were presented to the subjects. Statistical analyses were performed using statistical parametric mapping (SPM 99). The activation pattern induced by emotionally loaded acoustic stimuli differed significantly within and between both groups tested, depending on the kind of stimuli used. Within-group differences included the limbic system, prefrontal regions, temporal association cortices and striatal regions. Tinnitus patients had a pronounced involvement of limbic regions involved in the processing of chimes (positive stimulus) and neutral words (neutral stimulus), strongly suggesting improperly functioning inhibitory mechanisms that were functioning well in the control subjects. This study supports the hypothesis about the existence of a tinnitus-specific brain network. Such a network could respond to any acoustic stimuli by activating limbic areas involved in stress reactivity and emotional processing and by reducing activation of areas responsible for attention and acoustic filtering (thalamus, frontal regions), possibly reinforcing negative effects of tinnitus.

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