Language Clinical Trial
Official title:
Cortical Contributions to Frequency-Following Response Generation and Modulation; Post-Operative Outcomes
Verified date | February 2024 |
Source | University of Pittsburgh |
Contact | n/a |
Is FDA regulated | No |
Health authority | |
Study type | Interventional |
The purpose of this study is to better understand cortical contributions of the human temporal lobe to the frequency-following response. Frequency-following responses (FFR) are electrophysiological recordings that reflect phase-locked activity of neural ensembles in the auditory pathway and are used as an indicator of the integrity of supra-threshold speech processing. FFR was first studied in subcortical areas, but recent consensus in the literature supports the notion that it is an integrated response between subcortical and cortical neural populations. The proposed study aims to deconstruct the role of the cortex in generating and modulating the FFR. The research team will build a novel computational model of FFR mechanisms and use EEG recordings from participants who have undergone resection of lesions in Heschl's gyrus to validate model predictions.
Status | Enrolling by invitation |
Enrollment | 10 |
Est. completion date | January 1, 2026 |
Est. primary completion date | January 1, 2026 |
Accepts healthy volunteers | No |
Gender | All |
Age group | 13 Years to 25 Years |
Eligibility | Inclusion Criteria: - Individuals 13-25 years old - Undergoing medically necessary surgical resection of Heschl's gyrus lesion - Monolingual English speakers - Receptive and expressive language within normal limits - Normal or corrected-to-normal visual acuity - Normal hearing acuity in each ear (as determined during an audiometric assessment) - Nonverbal IQ within normal limits - No history of autism spectrum disorder or attention-deficit hyperactivity disorder Exclusion Criteria: - Significant medical or neuropsychological impairment that would result in the patient being unable to participate in study activities - History of autism or ADHD |
Country | Name | City | State |
---|---|---|---|
United States | UPMC Children's Hospital of Pittsburgh | Pittsburgh | Pennsylvania |
Lead Sponsor | Collaborator |
---|---|
University of Pittsburgh | National Institute on Deafness and Other Communication Disorders (NIDCD) |
United States,
Arehart KH, Kates JM, Anderson MC. Effects of noise, nonlinear processing, and linear filtering on perceived music quality. Int J Audiol. 2011 Mar;50(3):177-90. doi: 10.3109/14992027.2010.539273. — View Citation
Coffey EBJ, Nicol T, White-Schwoch T, Chandrasekaran B, Krizman J, Skoe E, Zatorre RJ, Kraus N. Evolving perspectives on the sources of the frequency-following response. Nat Commun. 2019 Nov 6;10(1):5036. doi: 10.1038/s41467-019-13003-w. — View Citation
White-Schwoch T, Anderson S, Krizman J, Nicol T, Kraus N. Case studies in neuroscience: subcortical origins of the frequency-following response. J Neurophysiol. 2019 Aug 1;122(2):844-848. doi: 10.1152/jn.00112.2019. Epub 2019 Jul 3. — View Citation
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Pitch Decoding Accuracy | Pitch decoding accuracy will be measured as a stimulus-to-response correlation between stimulus pitch (in Hz) and scalp-recorded frequency-following responses (FFR). Hidden Markov models (HMMs) will be used to decode stimulus identity information from recorded FFRs. | During sEEG-EEG recording sessions, up to 3 hours total | |
Primary | Frequency-Following Response Magnitude | The frequency-following response magnitude will be measured by analyzing the time-domain averaged spectral peak of scalp-recorded FFRs. | During sEEG-EEG recording sessions, up to 3 hours total | |
Primary | Cortical Phase-Locking Limits of Frequency-Following Response | Phase-locking limits of FFRs will be measured by comparing phase coherence of stimulus waveforms and scalp-recorded FFRs. The phase-locking limit will be determined as a function of dependence on stimulus frequency. | During sEEG-EEG recording sessions, up to 3 hours total | |
Primary | Predictability Effects of Cortical Resection on Pitch Decoding Accuracy | The predictability effects of cortical resection on pitch decoding accuracy will be measured via comparison of decoding accuracies obtained in Outcome 1 and values predicted by a previously created computational model of frequency-following response constrained by data from neurotypical participants. | During follow-up research sessions, at least 6-months post-sEEG | |
Primary | Predictability Effects of Cortical Resection on Frequency-Following Response Magnitude | The predictability effects of cortical resection on frequency-following response magnitude will be measured via comparison of response magnitude measurements obtained in Outcome 3 and values predicted by a previously created computational model of frequency-following response constrained by data from neurotypical participants. | During follow-up research sessions, at least 6-months post-sEEG | |
Primary | Predictability Effects of Cortical Resection on Phase-Locking Limits of Frequency-Following Response | The predictability effects of cortical resection on phase-locking limits of the frequency-following response will be measured via comparison of phase-locking limits obtained in Outcome 3 and values predicted by a previously created computational model of frequency-following response constrained by data from neurotypical participants. | During follow-up research sessions, at least 6-months post-sEEG |
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