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Tian S, Cheng YA, Luo H. Rhythm Facilitates Auditory Working Memory via Beta-Band Encoding and Theta-Band Maintenance. Neurosci Bull 2024:10.1007/s12264-024-01289-w. [PMID: 39215886 DOI: 10.1007/s12264-024-01289-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2024] [Accepted: 05/04/2024] [Indexed: 09/04/2024] Open
Abstract
Rhythm, as a prominent characteristic of auditory experiences such as speech and music, is known to facilitate attention, yet its contribution to working memory (WM) remains unclear. Here, human participants temporarily retained a 12-tone sequence presented rhythmically or arrhythmically in WM and performed a pitch change-detection task. Behaviorally, while having comparable accuracy, rhythmic tone sequences showed a faster response time and lower response boundaries in decision-making. Electroencephalographic recordings revealed that rhythmic sequences elicited enhanced non-phase-locked beta-band (16 Hz-33 Hz) and theta-band (3 Hz-5 Hz) neural oscillations during sensory encoding and WM retention periods, respectively. Importantly, the two-stage neural signatures were correlated with each other and contributed to behavior. As beta-band and theta-band oscillations denote the engagement of motor systems and WM maintenance, respectively, our findings imply that rhythm facilitates auditory WM through intricate oscillation-based interactions between the motor and auditory systems that facilitate predictive attention to auditory sequences.
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Affiliation(s)
- Suizi Tian
- School of Psychological and Cognitive Sciences and Beijing Key Laboratory of Behavior and Mental Health, Peking University, Beijing, 100871, China
- PKU-IDG/McGovern Institute for Brain Research, Peking University, Beijing, 100871, China
| | - Yu-Ang Cheng
- Department of Cognitive, Linguistic and Psychological Sciences, Brown University, Providence, RI, 02912, USA
| | - Huan Luo
- School of Psychological and Cognitive Sciences and Beijing Key Laboratory of Behavior and Mental Health, Peking University, Beijing, 100871, China.
- PKU-IDG/McGovern Institute for Brain Research, Peking University, Beijing, 100871, China.
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Abbasi O, Steingräber N, Chalas N, Kluger DS, Gross J. Spatiotemporal dynamics characterise spectral connectivity profiles of continuous speaking and listening. PLoS Biol 2023; 21:e3002178. [PMID: 37478152 DOI: 10.1371/journal.pbio.3002178] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2023] [Accepted: 05/31/2023] [Indexed: 07/23/2023] Open
Abstract
Speech production and perception are fundamental processes of human cognition that both rely on intricate processing mechanisms that are still poorly understood. Here, we study these processes by using magnetoencephalography (MEG) to comprehensively map connectivity of regional brain activity within the brain and to the speech envelope during continuous speaking and listening. Our results reveal not only a partly shared neural substrate for both processes but also a dissociation in space, delay, and frequency. Neural activity in motor and frontal areas is coupled to succeeding speech in delta band (1 to 3 Hz), whereas coupling in the theta range follows speech in temporal areas during speaking. Neural connectivity results showed a separation of bottom-up and top-down signalling in distinct frequency bands during speaking. Here, we show that frequency-specific connectivity channels for bottom-up and top-down signalling support continuous speaking and listening. These findings further shed light on the complex interplay between different brain regions involved in speech production and perception.
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Affiliation(s)
- Omid Abbasi
- Institute for Biomagnetism and Biosignal Analysis, University of Münster, Münster, Germany
| | - Nadine Steingräber
- Institute for Biomagnetism and Biosignal Analysis, University of Münster, Münster, Germany
| | - Nikos Chalas
- Institute for Biomagnetism and Biosignal Analysis, University of Münster, Münster, Germany
- Otto-Creutzfeldt-Center for Cognitive and Behavioral Neuroscience, University of Münster, Münster, Germany
| | - Daniel S Kluger
- Institute for Biomagnetism and Biosignal Analysis, University of Münster, Münster, Germany
- Otto-Creutzfeldt-Center for Cognitive and Behavioral Neuroscience, University of Münster, Münster, Germany
| | - Joachim Gross
- Institute for Biomagnetism and Biosignal Analysis, University of Münster, Münster, Germany
- Otto-Creutzfeldt-Center for Cognitive and Behavioral Neuroscience, University of Münster, Münster, Germany
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Behroozmand R, Sarmukadam K, Fridriksson J. Aberrant modulation of broadband neural oscillations reflects vocal sensorimotor deficits in post-stroke aphasia. Clin Neurophysiol 2023; 149:100-112. [PMID: 36934601 PMCID: PMC10101924 DOI: 10.1016/j.clinph.2023.02.176] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2022] [Revised: 02/17/2023] [Accepted: 02/25/2023] [Indexed: 03/11/2023]
Abstract
OBJECTIVE The present study investigated the neural oscillatory correlates of impaired vocal sensorimotor control in left-hemisphere stroke. METHODS Electroencephalography (EEG) signals were recorded from 34 stroke and 46 control subjects during speech vowel vocalization and listening tasks under normal and pitch-shifted auditory feedback. RESULTS Time-frequency analyses revealed aberrantly decreased theta (4-8 Hz) and increased gamma band (30-80 Hz) power in frontal and posterior parieto-occipital regions as well as reduced alpha (8-13 Hz) and beta (13-30 Hz) desynchronization over sensorimotor areas before speech vowel vocalization in left-hemisphere stroke compared with controls. Subjects with the stroke also presented with aberrant modulation of broadband (4-80 Hz) neural oscillations over sensorimotor regions after speech vowel onset during vocalization and listening under normal and altered auditory feedback. We found that the atypical pattern of broadband neural oscillatory modulation was correlated with diminished vocal feedback error compensation behavior and the severity of co-existing language-related aphasia symptoms associated with left-hemisphere stroke. CONCLUSIONS These findings indicate complex interplays between the underlying mechanisms of speech and language and their deficits in post-stroke aphasia. SIGNIFICANCE Our data motivate the notion of studying neural oscillatory dynamics as a critical component for the examination of speech and language disorders in post-stroke aphasia.
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Affiliation(s)
- Roozbeh Behroozmand
- Speech Neuroscience Lab, Department of Communication Sciences and Disorders, Arnold School of Public Health, University of South Carolina, 915 Greene Street, Columbia, SC 29208, USA.
| | - Kimaya Sarmukadam
- Speech Neuroscience Lab, Department of Communication Sciences and Disorders, Arnold School of Public Health, University of South Carolina, 915 Greene Street, Columbia, SC 29208, USA
| | - Julius Fridriksson
- The Aphasia Lab, Department of Communication Sciences and Disorders, Arnold School of Public Health, University of South Carolina, 915 Greene St, Columbia, SC 29208, USA; Center for the Study of Aphasia Recovery (C-STAR), Arnold School of Public Health, University of South Carolina, 915 Greene St, Columbia, SC 29208, USA
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Cortical network formation based on subthalamic beta bursts in Parkinson's disease. Neuroimage 2022; 263:119619. [PMID: 36087901 DOI: 10.1016/j.neuroimage.2022.119619] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2022] [Revised: 08/02/2022] [Accepted: 09/06/2022] [Indexed: 11/21/2022] Open
Abstract
Recent evidence suggests that beta bursts in subthalamic nucleus (STN) play an important role in Parkinsonian pathophysiology. We studied the spatio-temporal relationship between STN beta bursts and cortical activity in 26 Parkinson's disease (PD) patients undergoing deep brain stimulation (DBS) surgery. Postoperatively, we simultaneously recorded STN local field potentials (LFP) from externalized DBS leads and cortical activity using whole-brain magnetoencephalography. Event-related magnetic fields (ERF) were averaged time-locked to STN beta bursts and subjected to source localization. Our results demonstrate that ERF exhibiting activity significantly different from baseline activity were localized within areas functionally related to associative, limbic, and motor systems as well as regions pertinent for visual and language processing. Our data suggest that STN beta bursts are involved in network formation between STN and cortex. This interaction is in line with the idea of parallel processing within the basal ganglia-cortex loop, specifically within the functional subsystems of the STN (i.e., associative, limbic, motor, and the related cortical areas). ERFs within visual and language-related cortical areas indicate involvement of beta bursts in STN-cortex networks beyond the associative, limbic, and motor loops. In sum, our results highlight the involvement of STN beta bursts in the formation of multiple STN - cortex loops in patients with PD.
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Hasegawa C, Takahashi T, Ikeda T, Yoshimura Y, Hiraishi H, Nobukawa S, Saito DN, Kumazaki H, Yaoi K, Hirata M, Asada M, Kikuchi M. Effects of familiarity on child brain networks when listening to a storybook reading: A magneto-encephalographic study. Neuroimage 2021; 241:118389. [PMID: 34265420 DOI: 10.1016/j.neuroimage.2021.118389] [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: 02/26/2020] [Revised: 03/23/2021] [Accepted: 07/10/2021] [Indexed: 10/20/2022] Open
Abstract
Parent-child book reading is important for fostering the development of various lifelong cognitive and social abilities in young children. Despite numerous reports describing the effects of familiarity on shared reading for children, the exact neural basis of the functional network architecture remains unclear. We conducted Magnet-Encephalographic (MEG) experiments using graph theory to elucidate the role of familiarity in shared reading in a child's brain network and to measure the connectivity dynamics of a child while Listening to Storybook Reading (LSBR), which represents the daily activity of shared book reading between the child and caregiver. The LSBR task was performed with normally developing preschool- and school-age children (N = 15) under two conditions: reading by their own mother (familiar condition) vs. an experimenter (unfamiliar condition). We used the phase lag index (PLI), which captures synchronization of MEG signals, to estimate functional connectivity. For the whole brain network topology, an undirected weighted graph was produced using 68 brain regions as nodes and interregional PLI values as edges for five frequency bands. Behavioral data (i.e., the degree of attention and facial expressions) were evaluated from video images of the child's face during the two conditions. Our results showed enhanced widespread functional connectivity in the alpha band during the mother condition. In the mother condition, the whole brain network in the alpha band exhibited topographically high local segregation with high global integration, indicating an increased small-world property. Results of the behavioral analysis revealed that children were more attentive and showed more positive facial expressions in the mother condition than in the experimenter condition. Behavioral data were significantly correlated with graph metrics in the mother condition but not in the experimenter condition. In this study, we identified the neural correlates of a familiarity effect in children's brain connectivity dynamics during LSBR. Furthermore, these familiarity-related brain dynamics were closely linked to the child's behavior. Graph theory applied to MEG data may provide useful insight into the familiarity-related child brain response in a naturalistic setting and its relevance to child attitudes.
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Affiliation(s)
- Chiaki Hasegawa
- Research Center for Child Mental Development, Kanazawa University, Kanazawa 920-8640, Japan; JSPS Oversea Research Fellow RRA, Visiting Fellow, Department of Cognitive Science, Macquarie University, Tokyo 102-0083, Japan.
| | - Tetsuya Takahashi
- Research Center for Child Mental Development, Kanazawa University, Kanazawa 920-8640, Japan; Uozu Shinkei Sanatorium, Uozu 937-0017, Japan; Department of Neuropsychiatry, University of Fukui, Fukui 910-1193, Japan.
| | - Takashi Ikeda
- Research Center for Child Mental Development, Kanazawa University, Kanazawa 920-8640, Japan; United Graduate School of Child Development, Osaka University, Kanazawa University, Hamamatsu University School of Medicine, Chiba University, and University of Fukui, Osaka/Kanazawa/Hamamatsu/Chiba/Fukui, Japan.
| | - Yuko Yoshimura
- Research Center for Child Mental Development, Kanazawa University, Kanazawa 920-8640, Japan; United Graduate School of Child Development, Osaka University, Kanazawa University, Hamamatsu University School of Medicine, Chiba University, and University of Fukui, Osaka/Kanazawa/Hamamatsu/Chiba/Fukui, Japan; Institute of Human and Social Sciences, Kanazawa University, Kanazawa 921-1192, Japan.
| | - Hirotoshi Hiraishi
- Department of Biofunctional Imaging, Preeminent Medical Photonics Education & Research Center, Hamamatsu University School of Medicine, Hamamatsu 431-3192, Japan.
| | - Sou Nobukawa
- Department of Computer Science, Chiba Institute of Technology, Narashino 275-0016, Japan.
| | - Daisuke N Saito
- Research Center for Child Mental Development, Kanazawa University, Kanazawa 920-8640, Japan; United Graduate School of Child Development, Osaka University, Kanazawa University, Hamamatsu University School of Medicine, Chiba University, and University of Fukui, Osaka/Kanazawa/Hamamatsu/Chiba/Fukui, Japan; Department of Psychology, Faculty of Psychology, Yasuda Woman's University, Hiroshima 731-0153, Japan.
| | - Hirokazu Kumazaki
- National Institute of Mental Health, National Center of Neurology and Psychiatry, 4-1-1 Ogawahigashi, Kodaira, Tokyo 187-8553, Japan.
| | - Ken Yaoi
- Research Center for Child Mental Development, Kanazawa University, Kanazawa 920-8640, Japan; United Graduate School of Child Development, Osaka University, Kanazawa University, Hamamatsu University School of Medicine, Chiba University, and University of Fukui, Osaka/Kanazawa/Hamamatsu/Chiba/Fukui, Japan.
| | - Masayuki Hirata
- Department of Neurological Diagnosis and Restoration, Osaka University Graduate School of Medicine, Suita 565-0871, Japan; Endowed Research Department of Clinical Neuroengineering Global Center for Medical Engineering and Informatics, Osaka University, Suita 565-0871, Japan.
| | - Minoru Asada
- International Professional University of Technology in Osaka, Kita-ku 530-0001, Japan; Symbiotic Intelligent System Research Center, Institute for Open and Transdisciplinary Research Initiatives, Osaka University, Suita 565-0871, Japan.
| | - Mitsuru Kikuchi
- Research Center for Child Mental Development, Kanazawa University, Kanazawa 920-8640, Japan; United Graduate School of Child Development, Osaka University, Kanazawa University, Hamamatsu University School of Medicine, Chiba University, and University of Fukui, Osaka/Kanazawa/Hamamatsu/Chiba/Fukui, Japan; Department of Psychiatry and Neurobiology, Graduate School of Medical Science, Kanazawa University, Kanazawa 920-8641, Japan.
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Auditory detection is modulated by theta phase of silent lip movements. CURRENT RESEARCH IN NEUROBIOLOGY 2021; 2:100014. [PMID: 36246505 PMCID: PMC9559921 DOI: 10.1016/j.crneur.2021.100014] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2020] [Revised: 05/12/2021] [Accepted: 05/19/2021] [Indexed: 11/23/2022] Open
Abstract
Audiovisual speech perception relies, among other things, on our expertise to map a speaker's lip movements with speech sounds. This multimodal matching is facilitated by salient syllable features that align lip movements and acoustic envelope signals in the 4–8 Hz theta band. Although non-exclusive, the predominance of theta rhythms in speech processing has been firmly established by studies showing that neural oscillations track the acoustic envelope in the primary auditory cortex. Equivalently, theta oscillations in the visual cortex entrain to lip movements, and the auditory cortex is recruited during silent speech perception. These findings suggest that neuronal theta oscillations may play a functional role in organising information flow across visual and auditory sensory areas. We presented silent speech movies while participants performed a pure tone detection task to test whether entrainment to lip movements directs the auditory system and drives behavioural outcomes. We showed that auditory detection varied depending on the ongoing theta phase conveyed by lip movements in the movies. In a complementary experiment presenting the same movies while recording participants' electro-encephalogram (EEG), we found that silent lip movements entrained neural oscillations in the visual and auditory cortices with the visual phase leading the auditory phase. These results support the idea that the visual cortex entrained by lip movements filtered the sensitivity of the auditory cortex via theta phase synchronization. Subjects entrain to visual activity conveyed by speakers' lip movements. Visual entrainment modulates auditory perception and performances. Silent lips perception recruits both visual and auditory cortices. Visual and auditory cortices synchronize via theta phase coupling.
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Baroni F, Morillon B, Trébuchon A, Liégeois-Chauvel C, Olasagasti I, Giraud AL. Converging intracortical signatures of two separated processing timescales in human early auditory cortex. Neuroimage 2020; 218:116882. [PMID: 32439539 DOI: 10.1016/j.neuroimage.2020.116882] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2019] [Revised: 03/30/2020] [Accepted: 04/23/2020] [Indexed: 11/15/2022] Open
Abstract
Neural oscillations in auditory cortex are argued to support parsing and representing speech constituents at their corresponding temporal scales. Yet, how incoming sensory information interacts with ongoing spontaneous brain activity, what features of the neuronal microcircuitry underlie spontaneous and stimulus-evoked spectral fingerprints, and what these fingerprints entail for stimulus encoding, remain largely open questions. We used a combination of human invasive electrophysiology, computational modeling and decoding techniques to assess the information encoding properties of brain activity and to relate them to a plausible underlying neuronal microarchitecture. We analyzed intracortical auditory EEG activity from 10 patients while they were listening to short sentences. Pre-stimulus neural activity in early auditory cortical regions often exhibited power spectra with a shoulder in the delta range and a small bump in the beta range. Speech decreased power in the beta range, and increased power in the delta-theta and gamma ranges. Using multivariate machine learning techniques, we assessed the spectral profile of information content for two aspects of speech processing: detection and discrimination. We obtained better phase than power information decoding, and a bimodal spectral profile of information content with better decoding at low (delta-theta) and high (gamma) frequencies than at intermediate (beta) frequencies. These experimental data were reproduced by a simple rate model made of two subnetworks with different timescales, each composed of coupled excitatory and inhibitory units, and connected via a negative feedback loop. Modeling and experimental results were similar in terms of pre-stimulus spectral profile (except for the iEEG beta bump), spectral modulations with speech, and spectral profile of information content. Altogether, we provide converging evidence from both univariate spectral analysis and decoding approaches for a dual timescale processing infrastructure in human auditory cortex, and show that it is consistent with the dynamics of a simple rate model.
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Affiliation(s)
- Fabiano Baroni
- Department of Fundamental Neuroscience, University of Geneva, Geneva, Switzerland; School of Engineering, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.
| | - Benjamin Morillon
- Aix Marseille Université, Institut National de la Santé et de la Recherche Médicale (INSERM), Institut de Neurosciences des Systémes (INS), Marseille, France
| | - Agnès Trébuchon
- Aix Marseille Université, Institut National de la Santé et de la Recherche Médicale (INSERM), Institut de Neurosciences des Systémes (INS), Marseille, France; Clinical Neurophysiology and Epileptology Department, Timone Hospital, Assistance Publique Hôpitaux de Marseille, Marseille, France
| | - Catherine Liégeois-Chauvel
- Aix Marseille Université, Institut National de la Santé et de la Recherche Médicale (INSERM), Institut de Neurosciences des Systémes (INS), Marseille, France; Department of Neurological Surgery, University of Pittsburgh, PA, 15213, USA
| | - Itsaso Olasagasti
- Department of Fundamental Neuroscience, University of Geneva, Geneva, Switzerland
| | - Anne-Lise Giraud
- Department of Fundamental Neuroscience, University of Geneva, Geneva, Switzerland
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