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      On the Role of Neural Oscillations Across Timescales in Speech and Music Processing

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          Abstract

          This mini review is aimed at a clinician-scientist seeking to understand the role of oscillations in neural processing and their functional relevance in speech and music perception. We present an overview of neural oscillations, methods used to study them, and their functional relevance with respect to music processing, aging, hearing loss, and disorders affecting speech and language. We first review the oscillatory frequency bands and their associations with speech and music processing. Next we describe commonly used metrics for quantifying neural oscillations, briefly touching upon the still-debated mechanisms underpinning oscillatory alignment. Following this, we highlight key findings from research on neural oscillations in speech and music perception, as well as contributions of this work to our understanding of disordered perception in clinical populations. Finally, we conclude with a look toward the future of oscillatory research in speech and music perception, including promising methods and potential avenues for future work. We note that the intention of this mini review is not to systematically review all literature on cortical tracking of speech and music. Rather, we seek to provide the clinician-scientist with foundational information that can be used to evaluate and design research studies targeting the functional role of oscillations in speech and music processing in typical and clinical populations.

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          Most cited references100

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          Cortical oscillations and speech processing: emerging computational principles and operations.

          Neuronal oscillations are ubiquitous in the brain and may contribute to cognition in several ways: for example, by segregating information and organizing spike timing. Recent data show that delta, theta and gamma oscillations are specifically engaged by the multi-timescale, quasi-rhythmic properties of speech and can track its dynamics. We argue that they are foundational in speech and language processing, 'packaging' incoming information into units of the appropriate temporal granularity. Such stimulus-brain alignment arguably results from auditory and motor tuning throughout the evolution of speech and language and constitutes a natural model system allowing auditory research to make a unique contribution to the issue of how neural oscillatory activity affects human cognition.
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            A temporal sampling framework for developmental dyslexia.

            Neural coding by brain oscillations is a major focus in neuroscience, with important implications for dyslexia research. Here, I argue that an oscillatory 'temporal sampling' framework enables diverse data from developmental dyslexia to be drawn into an integrated theoretical framework. The core deficit in dyslexia is phonological. Temporal sampling of speech by neuroelectric oscillations that encode incoming information at different frequencies could explain the perceptual and phonological difficulties with syllables, rhymes and phonemes found in individuals with dyslexia. A conceptual framework based on oscillations that entrain to sensory input also has implications for other sensory theories of dyslexia, offering opportunities for integrating a diverse and confusing experimental literature. Copyright © 2010 Elsevier Ltd. All rights reserved.
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              Cortical Tracking of Hierarchical Linguistic Structures in Connected Speech

              The most critical attribute of human language is its unbounded combinatorial nature: smaller elements can be combined into larger structures based on a grammatical system, resulting in a hierarchy of linguistic units, e.g., words, phrases, and sentences. Mentally parsing and representing such structures, however, poses challenges for speech comprehension. In speech, hierarchical linguistic structures do not have boundaries clearly defined by acoustic cues and must therefore be internally and incrementally constructed during comprehension. Here we demonstrate that during listening to connected speech, cortical activity of different time scales concurrently tracks the time course of abstract linguistic structures at different hierarchical levels, e.g. words, phrases, and sentences. Critically, the neural tracking of hierarchical linguistic structures is dissociated from the encoding of acoustic cues as well as from the predictability of incoming words. The results demonstrate that a hierarchy of neural processing timescales underlies grammar-based internal construction of hierarchical linguistic structure.
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                Author and article information

                Contributors
                Journal
                Front Comput Neurosci
                Front Comput Neurosci
                Front. Comput. Neurosci.
                Frontiers in Computational Neuroscience
                Frontiers Media S.A.
                1662-5188
                23 June 2022
                2022
                : 16
                : 872093
                Affiliations
                [1] 1Department of Communication Science and Disorders, University of Pittsburgh , Pittsburgh, PA, United States
                [2] 2Center for Education in Health Sciences, Northwestern University , Chicago, IL, United States
                [3] 3Department of Speech, Language, and Hearing Sciences, The University of Texas at Austin , Austin, TX, United States
                [4] 4Department of Communication Sciences and Disorders, University of Houston , Houston, TX, United States
                Author notes

                Edited by: Johanna Maria Rimmele, Max Planck Institute for Empirical Aesthetics, Germany

                Reviewed by: Katharina S. Rufener, University Hospital Magdeburg, Germany; Anna Kasdan, Vanderbilt University, United States

                *Correspondence: Heather R. Dial, hrdial@ 123456central.uh.edu

                These authors have contributed equally to this work

                Article
                10.3389/fncom.2022.872093
                9260496
                35814348
                0b88bb3e-b129-4f9f-b74a-e680d675fed2
                Copyright © 2022 Gnanateja, Devaraju, Heyne, Quique, Sitek, Tardif, Tessmer and Dial.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 09 February 2022
                : 24 May 2022
                Page count
                Figures: 1, Tables: 1, Equations: 0, References: 100, Pages: 9, Words: 7500
                Categories
                Neuroscience
                Mini Review

                Neurosciences
                neural oscillations,cortical tracking,speech tracking,cortical entrainment,neurogenic communication disorders,electrophysiology,speech processing,music processing

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