Everyday auditory stimuli contain structure at multiple time and frequency scales. Using EEG, we demonstrate sensitivity of human auditory cortex to the content of past stimulation in unattended sequences of equiprobable tones. In 3 experiments including 79 participants overall, we found that at different latencies after stimulus onset, neural responses were sensitive to frequency intervals computed over distinct time scales. To account for these results, we tested a model consisting of neural populations with frequency-specific but broad tuning that undergo adaptation with exponential recovery. We found that the coexistence of neural populations with distinct recovery rates can explain our results. Furthermore, the adaptation bandwidth depends on spectral context -it is wider when the stimulation sequence has a wider frequency range. Our results provide electrophysiological evidence as well as a possible mechanistic explanation for dynamic and multi-scale context-dependent auditory processing in the human cortex.
Background Patient-reported outcome measures (PROMs) and patient-reported experience measures (PREMs) are increasingly recognized as important ways for patients to be more actively involved in their treatment and enhance shared decision-making. Objective The current study investigated the associations between PROMs, PREMs and various symptoms measures reported by clinicians and psychiatric patients. Method One hundred and twenty people admitted to a psychiatric hospital completed two PREMs, one PROM (the shortened version of the Manchester Short Assessment of Quality of Life scale) and Effects of Symptoms on Daily Functioning (the Sheehan Disability Scale), the Patient Clinical Global Impression and the Modified Colorado Symptom Index. Their psychiatrists rated them using the Global Assessment of Functioning scale, the Health of the Nation Outcome Scales and the Therapist Clinical Global Impression. Results There was a strong correlation between patient’s evaluation of their quality of life (PROM), experience of their care (PREM) and the overall severity of their condition and their progress. The pattern of correlation between patients’ and clinicians’ measures revealed a three-layer structure representing a continuum from inner experience to external presentation of experiences. Conclusion Together these findings help identify and emphasize various domains of subjective experiences and their relation to external ratings.
Everyday auditory streams are complex, including spectro-temporal content that varies at multiple timescales. Using EEG, we investigated the sensitivity of human auditory cortex to the content of past stimulation in unattended sequences of equiprobable tones. In 3 experiments including 82 participants overall, we found that neural responses measured at different latencies after stimulus onset were sensitive to frequency intervals computed over distinct timescales. Importantly, early responses were sensitive to a longer history of stimulation than later responses. To account for these results, we tested a model consisting of neural populations with frequency-specific but broad tuning that undergo adaptation with exponential recovery. We found that the coexistence of neural populations with distinct recovery rates can explain our results. Furthermore, the adaptation bandwidth of these populations depended on spectral context—it was wider when the stimulation sequence had a wider frequency range. Our results provide electrophysiological evidence as well as a possible mechanistic explanation for dynamic and multiscale context-dependent auditory processing in the human cortex.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.