Sleep affects higher-level categorization of speech sounds, but not frequency encoding. (September 2022)

• Record Type: Journal Article
• Authors: Chapelle, Aurélien de la; Savard, Marie-Anick; Restani, Reyan; Ghaemmaghami, Pouya; Thillou, Noam; Zardoui, Khashayar; Chandrasekaran, Bharath; Coffey, Emily B.J.
• Is Part Of: Cortex. Volume 154(2022)
• Page Start: 27
• Page End: 45
• Publication Date: 2022-09
• Subjects: Categorical learning -- Frequency-following response -- Sleep -- Consolidation -- Speech; Neuropsychology -- Periodicals; Nervous system -- Periodicals; Neurology -- Periodicals; Psychophysiology -- Periodicals; Behavior -- Periodicals; Neurology -- Periodicals; 612.825
• DOI: 10.1016/j.cortex.2022.04.018
• Languages: English
• ISSNs: 0010-9452

Abstract

Abstract: Sleep can increase consolidation of new knowledge and skills. It is less clear whether sleep plays a role in other aspects of experience-dependent neuroplasticity, which underlie important human capabilities such as spoken language processing. Theories of sensory learning differ in their predictions; some imply rapid learning at early sensory levels, while other propose a slow, progressive timecourse such that higher-level categorical representations guide immediate, novice learning, while lower-level sensory changes do not emerge until later stages. In this study, we investigated the role of sleep across both behavioural and physiological indices of auditory neuroplasticity. Forty healthy young human adults (23 female) who did not speak a tonal language participated in the study. They learned to categorize non-native Mandarin lexical tones using a sound-to-category training paradigm, and were then randomly assigned to a Nap or Wake condition. Polysomnographic data were recorded to quantify sleep during a 3 h afternoon nap opportunity, or equivalent period of quiet wakeful activity. Measures of behavioural performance accuracy revealed a significant improvement in learning the sound-to-category training paradigm between Nap and Wake groups. Conversely, a neural index of fine sound encoding fidelity of speech sounds known as the frequency-following response (FFR) suggested no change due to sleep, and a null model was supported, using Bayesian statistics. Together, these results support theories that propose a slow, progressive and hierarchical timecourse for sensory learning. Sleep's effect may play the biggest role in the higher-level learning, although contributions to more protracted processes of plasticity that exceed the study duration cannot be ruled out.