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Wolman A, Çatal Y, Klar P, Steffener J, Northoff G. Repertoire of timescales in uni - and transmodal regions mediate working memory capacity. Neuroimage 2024; 291:120602. [PMID: 38579900 DOI: 10.1016/j.neuroimage.2024.120602] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2024] [Revised: 04/01/2024] [Accepted: 04/02/2024] [Indexed: 04/07/2024] Open
Abstract
Working memory (WM) describes the dynamic process of maintenance and manipulation of information over a certain time delay. Neuronally, WM recruits a distributed network of cortical regions like the visual and dorsolateral prefrontal cortex as well as the subcortical hippocampus. How the input dynamics and subsequent neural dynamics impact WM remains unclear though. To answer this question, we combined the analysis of behavioral WM capacity with measuring neural dynamics through task-related power spectrum changes, e.g., median frequency (MF) in functional magnetic resonance imaging (fMRI). We show that the processing of the input dynamics, e.g., the task structure's specific timescale, leads to changes in the unimodal visual cortex's corresponding timescale which also relates to working memory capacity. While the more transmodal hippocampus relates to working memory capacity through its balance across multiple timescales or frequencies. In conclusion, we here show the relevance of both input dynamics and different neural timescales for WM capacity in uni - and transmodal regions like visual cortex and hippocampus for the subject's WM performance.
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Affiliation(s)
- Angelika Wolman
- School of Psychology, University of Ottawa, 136 Jean-Jacques Lussier, Ottawa, ON K1N 6N5, Canada; Mind, Brain Imaging and Neuroethics Unit, Institute of Mental Health Research, Royal Ottawa Mental Health Centre, University of Ottawa, 1145 Carling Avenue, Ottawa, ON K1Z 7K4, Canada.
| | - Yasir Çatal
- Mind, Brain Imaging and Neuroethics Unit, Institute of Mental Health Research, Royal Ottawa Mental Health Centre, University of Ottawa, 1145 Carling Avenue, Ottawa, ON K1Z 7K4, Canada
| | - Philipp Klar
- Faculty of Mathematics and Natural Sciences, Institute of Experimental Psychology, Heinrich Heine University of Düsseldorf, Düsseldorf, Germany; Institute of Neuroscience and Medicine, Brain & Behaviour (INM-7), Research Centre Jülich, Jülich, Germany
| | - Jason Steffener
- Interdisciplinary School of Health Science, University of Ottawa, 200 Lees Ave, Ottawa, ON K1N 6N5, Canada
| | - Georg Northoff
- Mind, Brain Imaging and Neuroethics Unit, Institute of Mental Health Research, Royal Ottawa Mental Health Centre, University of Ottawa, 1145 Carling Avenue, Ottawa, ON K1Z 7K4, Canada
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2
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Lasnick OHM, Hoeft F. Sensory temporal sampling in time: an integrated model of the TSF and neural noise hypothesis as an etiological pathway for dyslexia. Front Hum Neurosci 2024; 17:1294941. [PMID: 38234592 PMCID: PMC10792016 DOI: 10.3389/fnhum.2023.1294941] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2023] [Accepted: 12/04/2023] [Indexed: 01/19/2024] Open
Abstract
Much progress has been made in research on the causal mechanisms of developmental dyslexia. In recent years, the "temporal sampling" account of dyslexia has evolved considerably, with contributions from neurogenetics and novel imaging methods resulting in a much more complex etiological view of the disorder. The original temporal sampling framework implicates disrupted neural entrainment to speech as a causal factor for atypical phonological representations. Yet, empirical findings have not provided clear evidence of a low-level etiology for this endophenotype. In contrast, the neural noise hypothesis presents a theoretical view of the manifestation of dyslexia from the level of genes to behavior. However, its relative novelty (published in 2017) means that empirical research focused on specific predictions is sparse. The current paper reviews dyslexia research using a dual framework from the temporal sampling and neural noise hypotheses and discusses the complementary nature of these two views of dyslexia. We present an argument for an integrated model of sensory temporal sampling as an etiological pathway for dyslexia. Finally, we conclude with a brief discussion of outstanding questions.
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Affiliation(s)
- Oliver H. M. Lasnick
- brainLENS Laboratory, Department of Psychological Sciences, University of Connecticut, Storrs, CT, United States
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3
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Tichko P, Page N, Kim JC, Large EW, Loui P. Neural Entrainment to Musical Pulse in Naturalistic Music Is Preserved in Aging: Implications for Music-Based Interventions. Brain Sci 2022; 12:brainsci12121676. [PMID: 36552136 PMCID: PMC9775503 DOI: 10.3390/brainsci12121676] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2022] [Revised: 11/21/2022] [Accepted: 12/01/2022] [Indexed: 12/12/2022] Open
Abstract
Neural entrainment to musical rhythm is thought to underlie the perception and production of music. In aging populations, the strength of neural entrainment to rhythm has been found to be attenuated, particularly during attentive listening to auditory streams. However, previous studies on neural entrainment to rhythm and aging have often employed artificial auditory rhythms or limited pieces of recorded, naturalistic music, failing to account for the diversity of rhythmic structures found in natural music. As part of larger project assessing a novel music-based intervention for healthy aging, we investigated neural entrainment to musical rhythms in the electroencephalogram (EEG) while participants listened to self-selected musical recordings across a sample of younger and older adults. We specifically measured neural entrainment to the level of musical pulse-quantified here as the phase-locking value (PLV)-after normalizing the PLVs to each musical recording's detected pulse frequency. As predicted, we observed strong neural phase-locking to musical pulse, and to the sub-harmonic and harmonic levels of musical meter. Overall, PLVs were not significantly different between older and younger adults. This preserved neural entrainment to musical pulse and rhythm could support the design of music-based interventions that aim to modulate endogenous brain activity via self-selected music for healthy cognitive aging.
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Affiliation(s)
- Parker Tichko
- Department of Music, Northeastern University, Boston, MA 02115, USA
| | - Nicole Page
- Department of Music, Northeastern University, Boston, MA 02115, USA
| | - Ji Chul Kim
- Department of Psychological Sciences, University of Connecticut, Storrs, CT 06269, USA
| | - Edward W. Large
- Department of Psychological Sciences, University of Connecticut, Storrs, CT 06269, USA
| | - Psyche Loui
- Department of Music, Northeastern University, Boston, MA 02115, USA
- Correspondence:
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Kasdan AV, Burgess AN, Pizzagalli F, Scartozzi A, Chern A, Kotz SA, Wilson SM, Gordon RL. Identifying a brain network for musical rhythm: A functional neuroimaging meta-analysis and systematic review. Neurosci Biobehav Rev 2022; 136:104588. [PMID: 35259422 PMCID: PMC9195154 DOI: 10.1016/j.neubiorev.2022.104588] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2021] [Revised: 01/31/2022] [Accepted: 02/14/2022] [Indexed: 01/05/2023]
Abstract
We conducted a systematic review and meta-analysis of 30 functional magnetic resonance imaging studies investigating processing of musical rhythms in neurotypical adults. First, we identified a general network for musical rhythm, encompassing all relevant sensory and motor processes (Beat-based, rest baseline, 12 contrasts) which revealed a large network involving auditory and motor regions. This network included the bilateral superior temporal cortices, supplementary motor area (SMA), putamen, and cerebellum. Second, we identified more precise loci for beat-based musical rhythms (Beat-based, audio-motor control, 8 contrasts) in the bilateral putamen. Third, we identified regions modulated by beat based rhythmic complexity (Complexity, 16 contrasts) which included the bilateral SMA-proper/pre-SMA, cerebellum, inferior parietal regions, and right temporal areas. This meta-analysis suggests that musical rhythm is largely represented in a bilateral cortico-subcortical network. Our findings align with existing theoretical frameworks about auditory-motor coupling to a musical beat and provide a foundation for studying how the neural bases of musical rhythm may overlap with other cognitive domains.
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Affiliation(s)
- Anna V Kasdan
- Vanderbilt Brain Institute, Vanderbilt University, Nashville, TN, USA; Curb Center for Art, Enterprise, and Public Policy, Nashville, TN, USA.
| | - Andrea N Burgess
- Vanderbilt Brain Institute, Vanderbilt University, Nashville, TN, USA
| | | | - Alyssa Scartozzi
- Department of Otolaryngology - Head and Neck Surgery, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Alexander Chern
- Department of Otolaryngology - Head & Neck Surgery, New York-Presbyterian/Columbia University Irving Medical Center and Columbia University Vagelos College of Physicians and Surgeons, New York, NY, USA; Department of Otolaryngology - Head and Neck Surgery, New York-Presbyterian/Weill Cornell Medical Center, New York, NY, USA
| | - Sonja A Kotz
- Department of Neuropsychology and Psychopharmacology, Maastricht University, Maastricht, The Netherlands; Department of Neuropsychology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - Stephen M Wilson
- Vanderbilt Brain Institute, Vanderbilt University, Nashville, TN, USA; Department of Hearing and Speech Sciences, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Reyna L Gordon
- Vanderbilt Brain Institute, Vanderbilt University, Nashville, TN, USA; Curb Center for Art, Enterprise, and Public Policy, Nashville, TN, USA; Department of Otolaryngology - Head and Neck Surgery, Vanderbilt University Medical Center, Nashville, TN, USA
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5
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You got rhythm, or more: The multidimensionality of rhythmic abilities. Atten Percept Psychophys 2022; 84:1370-1392. [PMID: 35437703 PMCID: PMC9614186 DOI: 10.3758/s13414-022-02487-2] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/25/2022] [Indexed: 11/08/2022]
Abstract
Humans have a remarkable capacity for perceiving and producing rhythm. Rhythmic competence is often viewed as a single concept, with participants who perform more or less accurately on a single rhythm task. However, research is revealing numerous sub-processes and competencies involved in rhythm perception and production, which can be selectively impaired or enhanced. To investigate whether different patterns of performance emerge across tasks and individuals, we measured performance across a range of rhythm tasks from different test batteries. Distinct performance patterns could potentially reveal separable rhythmic competencies that may draw on distinct neural mechanisms. Participants completed nine rhythm perception and production tasks selected from the Battery for the Assessment of Auditory Sensorimotor and Timing Abilities (BAASTA), the Beat Alignment Test (BAT), the Beat-Based Advantage task (BBA), and two tasks from the Burgundy best Musical Aptitude Test (BbMAT). Principal component analyses revealed clear separation of task performance along three main dimensions: production, beat-based rhythm perception, and sequence memory-based rhythm perception. Hierarchical cluster analyses supported these results, revealing clusters of participants who performed selectively more or less accurately along different dimensions. The current results support the hypothesis of divergence of rhythmic skills. Based on these results, we provide guidelines towards a comprehensive testing of rhythm abilities, including at least three short tasks measuring: (1) rhythm production (e.g., tapping to metronome/music), (2) beat-based rhythm perception (e.g., BAT), and (3) sequence memory-based rhythm processing (e.g., BBA). Implications for underlying neural mechanisms, future research, and potential directions for rehabilitation and training programs are discussed.
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6
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Vuust P, Heggli OA, Friston KJ, Kringelbach ML. Music in the brain. Nat Rev Neurosci 2022; 23:287-305. [PMID: 35352057 DOI: 10.1038/s41583-022-00578-5] [Citation(s) in RCA: 94] [Impact Index Per Article: 47.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/22/2022] [Indexed: 02/06/2023]
Abstract
Music is ubiquitous across human cultures - as a source of affective and pleasurable experience, moving us both physically and emotionally - and learning to play music shapes both brain structure and brain function. Music processing in the brain - namely, the perception of melody, harmony and rhythm - has traditionally been studied as an auditory phenomenon using passive listening paradigms. However, when listening to music, we actively generate predictions about what is likely to happen next. This enactive aspect has led to a more comprehensive understanding of music processing involving brain structures implicated in action, emotion and learning. Here we review the cognitive neuroscience literature of music perception. We show that music perception, action, emotion and learning all rest on the human brain's fundamental capacity for prediction - as formulated by the predictive coding of music model. This Review elucidates how this formulation of music perception and expertise in individuals can be extended to account for the dynamics and underlying brain mechanisms of collective music making. This in turn has important implications for human creativity as evinced by music improvisation. These recent advances shed new light on what makes music meaningful from a neuroscientific perspective.
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Affiliation(s)
- Peter Vuust
- Center for Music in the Brain, Aarhus University and The Royal Academy of Music (Det Jyske Musikkonservatorium), Aarhus, Denmark.
| | - Ole A Heggli
- Center for Music in the Brain, Aarhus University and The Royal Academy of Music (Det Jyske Musikkonservatorium), Aarhus, Denmark
| | - Karl J Friston
- Wellcome Centre for Human Neuroimaging, University College London, London, UK
| | - Morten L Kringelbach
- Center for Music in the Brain, Aarhus University and The Royal Academy of Music (Det Jyske Musikkonservatorium), Aarhus, Denmark.,Department of Psychiatry, University of Oxford, Oxford, UK.,Centre for Eudaimonia and Human Flourishing, Linacre College, University of Oxford, Oxford, UK
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7
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Gnanateja GN, Devaraju DS, Heyne M, Quique YM, Sitek KR, Tardif MC, Tessmer R, Dial HR. On the Role of Neural Oscillations Across Timescales in Speech and Music Processing. Front Comput Neurosci 2022; 16:872093. [PMID: 35814348 PMCID: PMC9260496 DOI: 10.3389/fncom.2022.872093] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2022] [Accepted: 05/24/2022] [Indexed: 11/25/2022] Open
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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Affiliation(s)
- G Nike Gnanateja
- Department of Communication Science and Disorders, University of Pittsburgh, Pittsburgh, PA, United States
| | - Dhatri S Devaraju
- Department of Communication Science and Disorders, University of Pittsburgh, Pittsburgh, PA, United States
| | - Matthias Heyne
- Department of Communication Science and Disorders, University of Pittsburgh, Pittsburgh, PA, United States
| | - Yina M Quique
- Center for Education in Health Sciences, Northwestern University, Chicago, IL, United States
| | - Kevin R Sitek
- Department of Communication Science and Disorders, University of Pittsburgh, Pittsburgh, PA, United States
| | - Monique C Tardif
- Department of Communication Science and Disorders, University of Pittsburgh, Pittsburgh, PA, United States
| | - Rachel Tessmer
- Department of Speech, Language, and Hearing Sciences, The University of Texas at Austin, Austin, TX, United States
| | - Heather R Dial
- Department of Speech, Language, and Hearing Sciences, The University of Texas at Austin, Austin, TX, United States.,Department of Communication Sciences and Disorders, University of Houston, Houston, TX, United States
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8
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Chang A, Bedoin N, Canette LH, Nozaradan S, Thompson D, Corneyllie A, Tillmann B, Trainor LJ. Atypical beta power fluctuation while listening to an isochronous sequence in dyslexia. Clin Neurophysiol 2021; 132:2384-2390. [PMID: 34454265 DOI: 10.1016/j.clinph.2021.05.037] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2020] [Revised: 04/22/2021] [Accepted: 05/31/2021] [Indexed: 11/29/2022]
Abstract
OBJECTIVE Developmental dyslexia is a reading disorder that features difficulties in perceiving and tracking rhythmic regularities in auditory streams, such as speech and music. Studies on typical healthy participants have shown that power fluctuations of neural oscillations in beta band (15-25 Hz) reflect an essential mechanism for tracking rhythm or entrainment and relate to predictive timing and attentional processes. Here we investigated whether adults with dyslexia have atypical beta power fluctuation. METHODS The electroencephalographic activities of individuals with dyslexia (n = 13) and typical control participants (n = 13) were measured while they passively listened to an isochronous tone sequence (2 Hz presentation rate). The time-frequency neural activities generated from auditory cortices were analyzed. RESULTS The phase of beta power fluctuation at the 2 Hz stimulus presentation rate differed and appeared opposite between individuals with dyslexia and controls. CONCLUSIONS Atypical beta power fluctuation might reflect deficits in perceiving and tracking auditory rhythm in dyslexia. SIGNIFICANCE These findings extend our understanding of atypical neural activities for tracking rhythm in dyslexia and could inspire novel methods to objectively measure the benefits of training, and predict potential benefit of auditory rhythmic rehabilitation programs on an individual basis.
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Affiliation(s)
- Andrew Chang
- Department of Psychology, Neuroscience and Behaviour, McMaster University, Hamilton, ON L8S 4K1, Canada
| | - Nathalie Bedoin
- CNRS, UMR5292, INSERM, U1028, Lyon Neuroscience Research Center, IMPACT Team, Bron, France; University Lyon 1, Villeurbanne, France; University Lyon 2, Bron, France
| | - Laure-Helene Canette
- University Lyon 1, Villeurbanne, France; CNRS, UMR5292, INSERM, U1028, Lyon Neuroscience Research Center, Auditory Cognition and Psychoacoustics Team, Bron, France
| | - Sylvie Nozaradan
- The MARCS Institute for Brain, Behaviour and Development, Western Sydney University, Locked Bag 1797, Penrith, NSW 2751, Australia; Institute of Neuroscience (IONS), Université catholique de Louvain (UCL), Avenue Mounier 53, Woluwe-Saint-Lambert, 1200, Belgium
| | - Dave Thompson
- Department of Psychology, Neuroscience and Behaviour, McMaster University, Hamilton, ON L8S 4K1, Canada; McMaster Institute for Music and the Mind, McMaster University, Hamilton, ON L8S 4K1, Canada; Rotman Research Institute, Baycrest Hospital, Toronto, ON M6A 2E1, Canada
| | - Alexandra Corneyllie
- University Lyon 1, Villeurbanne, France; CNRS, UMR5292, INSERM, U1028, Lyon Neuroscience Research Center, Auditory Cognition and Psychoacoustics Team, Bron, France
| | - Barbara Tillmann
- University Lyon 1, Villeurbanne, France; CNRS, UMR5292, INSERM, U1028, Lyon Neuroscience Research Center, Auditory Cognition and Psychoacoustics Team, Bron, France.
| | - Laurel J Trainor
- Department of Psychology, Neuroscience and Behaviour, McMaster University, Hamilton, ON L8S 4K1, Canada; McMaster Institute for Music and the Mind, McMaster University, Hamilton, ON L8S 4K1, Canada; Rotman Research Institute, Baycrest Hospital, Toronto, ON M6A 2E1, Canada.
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9
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Linguistic syncopation: Meter-syntax alignment affects sentence comprehension and sensorimotor synchronization. Cognition 2021; 217:104880. [PMID: 34419725 DOI: 10.1016/j.cognition.2021.104880] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2020] [Revised: 07/01/2021] [Accepted: 08/11/2021] [Indexed: 02/08/2023]
Abstract
The hierarchical organization of speech rhythm into meter putatively confers cognitive affordances for perception, memory, and motor coordination. Meter also aligns with phrasal structure in systematic ways. In this paper, we show that this alignment affects the robustness of syntactic comprehension and discuss possible underlying mechanisms. In two experiments, we manipulated meter-syntax alignment while sentences with relative clause structures were either read as text (experiment 1, n = 40) or listened to as speech (experiment 2, n = 40). In experiment 2, we also measured the stability with which participants could tap in time with the metrical accents in the sentences they were comprehending. In addition to making more mistakes, sensorimotor synchronization was disrupted when syntactic cues clashed with the metrical context. We suggest that this reflects a tight coordination of top-down linguistic knowledge with the sensorimotor system to optimize comprehension.
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10
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The Neurological Basis of Developmental Dyslexia and Related Disorders: A Reappraisal of the Temporal Hypothesis, Twenty Years on. Brain Sci 2021; 11:brainsci11060708. [PMID: 34071786 PMCID: PMC8229928 DOI: 10.3390/brainsci11060708] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2021] [Revised: 05/13/2021] [Accepted: 05/20/2021] [Indexed: 01/10/2023] Open
Abstract
In a now-classic article published a couple of decades ago (Brain, 2000; 123: 2373-2399), I proposed an "extended temporal processing deficit hypothesis of dyslexia", suggesting that a deficit in temporal processing could explain not only language-related peculiarities usually noticed in dyslexic children, but also a wider range of symptoms related to impaired processing of time in general. In the present review paper, I will revisit this "historical" hypothesis both in the light of a new clinical perspective, including the central yet poorly explained notion of comorbidity, and also taking a new look at the most recent experimental work, mainly focusing on brain imaging data. First, consistent with daily clinical practice, I propose to distinguish three groups of children who fail to learn to read, of fairly equal occurrence, who share the same initial presentation (difficulty in mastering the rules of grapheme-phoneme correspondence) but with differing associated signs and/or comorbid conditions (language disorders in the first group, attentional deficits in the second one, and motor coordination problems in the last one), thus suggesting, at least in part, potentially different triggering mechanisms. It is then suggested, in the light of brain imaging information available to date, that the three main clinical presentations/associations of cognitive impairments that compromise reading skills acquisition correspond to three distinct patterns of miswiring or "disconnectivity" in specific brain networks which have in common their involvement in the process of learning and their heavy reliance on temporal features of information processing. With reference to the classic temporal processing deficit of dyslexia and to recent evidence of an inability of the dyslexic brain to achieve adequate coupling of oscillatory brain activity to the temporal features of external events, a general model is proposed according to which a common mechanism of temporal uncoupling between various disconnected-and/or mis-wired-processors may account for distinct forms of specific learning disorders, with reading impairment being a more or less constant feature. Finally, the potential therapeutic implications of such a view are considered, with special emphasis on methods seeking to enhance cross-modal connectivity between separate brain systems, including those using rhythmic and musical training in dyslexic patients.
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11
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Rapid Assessment of Non-Verbal Auditory Perception in Normal-Hearing Participants and Cochlear Implant Users. J Clin Med 2021; 10:jcm10102093. [PMID: 34068067 PMCID: PMC8152499 DOI: 10.3390/jcm10102093] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2021] [Revised: 04/26/2021] [Accepted: 05/06/2021] [Indexed: 01/17/2023] Open
Abstract
In the case of hearing loss, cochlear implants (CI) allow for the restoration of hearing. Despite the advantages of CIs for speech perception, CI users still complain about their poor perception of their auditory environment. Aiming to assess non-verbal auditory perception in CI users, we developed five listening tests. These tests measure pitch change detection, pitch direction identification, pitch short-term memory, auditory stream segregation, and emotional prosody recognition, along with perceived intensity ratings. In order to test the potential benefit of visual cues for pitch processing, the three pitch tests included half of the trials with visual indications to perform the task. We tested 10 normal-hearing (NH) participants with material being presented as original and vocoded sounds, and 10 post-lingually deaf CI users. With the vocoded sounds, the NH participants had reduced scores for the detection of small pitch differences, and reduced emotion recognition and streaming abilities compared to the original sounds. Similarly, the CI users had deficits for small differences in the pitch change detection task and emotion recognition, as well as a decreased streaming capacity. Overall, this assessment allows for the rapid detection of specific patterns of non-verbal auditory perception deficits. The current findings also open new perspectives about how to enhance pitch perception capacities using visual cues.
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12
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Soundirarajan M, Aghasian E, Krejcar O, Namazi H. Complexity-based analysis of the coupling between facial muscle and brain activities. Biomed Signal Process Control 2021. [DOI: 10.1016/j.bspc.2021.102511] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
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13
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What you hear first, is what you get: Initial metrical cue presentation modulates syllable detection in sentence processing. Atten Percept Psychophys 2021; 83:1861-1877. [PMID: 33709327 DOI: 10.3758/s13414-021-02251-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/14/2021] [Indexed: 11/08/2022]
Abstract
Auditory rhythms create powerful expectations for the listener. Rhythmic cues with the same temporal structure as subsequent sentences enhance processing compared with irregular or mismatched cues. In the present study, we focus on syllable detection following matched rhythmic cues. Cues were aligned with subsequent sentences at the syllable (low-level cue) or the accented syllable (high-level cue) level. A different group of participants performed the task without cues to provide a baseline. We hypothesized that unaccented syllable detection would be faster after low-level cues, and accented syllable detection would be faster after high-level cues. There was no difference in syllable detection depending on whether the sentence was preceded by a high-level or low-level cue. However, the results revealed a priming effect of the cue that participants heard first. Participants who heard a high-level cue first were faster to detect accented than unaccented syllables, and faster to detect accented syllables than participants who heard a low-level cue first. The low-level-first participants showed no difference between detection of accented and unaccented syllables. The baseline experiment confirmed that hearing a low-level cue first removed the benefit of the high-level grouping structure for accented syllables. These results suggest that the initially perceived rhythmic structure influenced subsequent cue perception and its influence on syllable detection. Results are discussed in terms of dynamic attending, temporal context effects, and implications for context effects in neural entrainment.
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14
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Lenc T, Keller PE, Varlet M, Nozaradan S. Neural and Behavioral Evidence for Frequency-Selective Context Effects in Rhythm Processing in Humans. Cereb Cortex Commun 2020; 1:tgaa037. [PMID: 34296106 PMCID: PMC8152888 DOI: 10.1093/texcom/tgaa037] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2020] [Revised: 06/30/2020] [Accepted: 07/16/2020] [Indexed: 01/17/2023] Open
Abstract
When listening to music, people often perceive and move along with a periodic meter. However, the dynamics of mapping between meter perception and the acoustic cues to meter periodicities in the sensory input remain largely unknown. To capture these dynamics, we recorded the electroencephalography while nonmusician and musician participants listened to nonrepeating rhythmic sequences, where acoustic cues to meter frequencies either gradually decreased (from regular to degraded) or increased (from degraded to regular). The results revealed greater neural activity selectively elicited at meter frequencies when the sequence gradually changed from regular to degraded compared with the opposite. Importantly, this effect was unlikely to arise from overall gain, or low-level auditory processing, as revealed by physiological modeling. Moreover, the context effect was more pronounced in nonmusicians, who also demonstrated facilitated sensory-motor synchronization with the meter for sequences that started as regular. In contrast, musicians showed weaker effects of recent context in their neural responses and robust ability to move along with the meter irrespective of stimulus degradation. Together, our results demonstrate that brain activity elicited by rhythm does not only reflect passive tracking of stimulus features, but represents continuous integration of sensory input with recent context.
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Affiliation(s)
- Tomas Lenc
- MARCS Institute for Brain, Behaviour, and Development, Western Sydney University, Penrith, Sydney, NSW 2751, Australia
| | - Peter E Keller
- MARCS Institute for Brain, Behaviour, and Development, Western Sydney University, Penrith, Sydney, NSW 2751, Australia
| | - Manuel Varlet
- MARCS Institute for Brain, Behaviour, and Development, Western Sydney University, Penrith, Sydney, NSW 2751, Australia
- School of Psychology, Western Sydney University, Penrith, Sydney, NSW 2751, Australia
| | - Sylvie Nozaradan
- MARCS Institute for Brain, Behaviour, and Development, Western Sydney University, Penrith, Sydney, NSW 2751, Australia
- Institute of Neuroscience (IONS), Université Catholique de Louvain (UCL), Brussels 1200, Belgium
- International Laboratory for Brain, Music and Sound Research (BRAMS), Montreal QC H3C 3J7, Canada
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Ladányi E, Persici V, Fiveash A, Tillmann B, Gordon RL. Is atypical rhythm a risk factor for developmental speech and language disorders? WILEY INTERDISCIPLINARY REVIEWS. COGNITIVE SCIENCE 2020; 11:e1528. [PMID: 32244259 PMCID: PMC7415602 DOI: 10.1002/wcs.1528] [Citation(s) in RCA: 59] [Impact Index Per Article: 14.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/06/2019] [Revised: 03/07/2020] [Accepted: 03/09/2020] [Indexed: 01/07/2023]
Abstract
Although a growing literature points to substantial variation in speech/language abilities related to individual differences in musical abilities, mainstream models of communication sciences and disorders have not yet incorporated these individual differences into childhood speech/language development. This article reviews three sources of evidence in a comprehensive body of research aligning with three main themes: (a) associations between musical rhythm and speech/language processing, (b) musical rhythm in children with developmental speech/language disorders and common comorbid attentional and motor disorders, and (c) individual differences in mechanisms underlying rhythm processing in infants and their relationship with later speech/language development. In light of converging evidence on associations between musical rhythm and speech/language processing, we propose the Atypical Rhythm Risk Hypothesis, which posits that individuals with atypical rhythm are at higher risk for developmental speech/language disorders. The hypothesis is framed within the larger epidemiological literature in which recent methodological advances allow for large-scale testing of shared underlying biology across clinically distinct disorders. A series of predictions for future work testing the Atypical Rhythm Risk Hypothesis are outlined. We suggest that if a significant body of evidence is found to support this hypothesis, we can envision new risk factor models that incorporate atypical rhythm to predict the risk of developing speech/language disorders. Given the high prevalence of speech/language disorders in the population and the negative long-term social and economic consequences of gaps in identifying children at-risk, these new lines of research could potentially positively impact access to early identification and treatment. This article is categorized under: Linguistics > Language in Mind and Brain Neuroscience > Development Linguistics > Language Acquisition.
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Affiliation(s)
- Enikő Ladányi
- Department of Otolaryngology, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Valentina Persici
- Department of Otolaryngology, Vanderbilt University Medical Center, Nashville, Tennessee, USA.,Department of Psychology, Università degli Studi di Milano - Bicocca, Milan, Italy.,Vanderbilt Brain Institute, Vanderbilt University, Nashville, Tennessee, USA
| | - Anna Fiveash
- Lyon Neuroscience Research Center, Auditory Cognition and Psychoacoustics Team, CRNL, INSERM, University of Lyon 1, U1028, CNRS, UMR5292, Lyon, France
| | - Barbara Tillmann
- Lyon Neuroscience Research Center, Auditory Cognition and Psychoacoustics Team, CRNL, INSERM, University of Lyon 1, U1028, CNRS, UMR5292, Lyon, France
| | - Reyna L Gordon
- Department of Otolaryngology, Vanderbilt University Medical Center, Nashville, Tennessee, USA.,Vanderbilt Brain Institute, Vanderbilt University, Nashville, Tennessee, USA.,Vanderbilt Genetics Institute, Vanderbilt University, Nashville, Tennessee, USA.,Vanderbilt Kennedy Center, Vanderbilt University Medical Center, Nashville, Tennessee, USA
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