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Guo L, Bao M, Chen Z, Chen L. Contingent magnetic variation and beta-band oscillations in sensorimotor temporal decision-making. Brain Res Bull 2024; 215:111021. [PMID: 38942396 DOI: 10.1016/j.brainresbull.2024.111021] [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: 02/05/2024] [Revised: 06/07/2024] [Accepted: 06/21/2024] [Indexed: 06/30/2024]
Abstract
The ability to accurately encode the temporal information of sensory events and hence to make prompt action is fundamental to humans' prompt behavioral decision-making. Here we examined the ability of ensemble coding (averaging multiple inter-intervals in a sound sequence) and subsequent immediate reproduction of target duration at half, equal, or double that of the perceived mean interval in a sensorimotor loop. With magnetoencephalography (MEG), we found that the contingent magnetic variation (CMV) in the central scalp varied as a function of the averaging tasks, with a faster rate for buildup amplitudes and shorter peak latencies in the "half" condition as compared to the "double" condition. ERD (event-related desynchronization) -to-ERS (event-related synchronization) latency was shorter in the "half" condition. A robust beta band (15-23 Hz) power suppression and recovery between the final tone and the action of key pressing was found for time reproduction. The beta modulation depth (i.e., the ERD-to-ERS power difference) was larger in motor areas than in primary auditory areas. Moreover, results of phase slope index (PSI) indicated that beta oscillations in the left supplementary motor area (SMA) led those in the right superior temporal gyrus (STG), showing SMA to STG directionality for the processing of sequential (temporal) auditory interval information. Our findings provide the first evidence to show that CMV and beta oscillations predict the coupling between perception and action in time averaging.
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Affiliation(s)
- Lu Guo
- The Key Laboratory of Noise and Vibration Research, Institute of Acoustics, Chinese Academy of Sciences, Beijing 100190, China; State Key Laboratory of Acoustics,Institute of Acoustics, Chinese Academy of Sciences, Beijing 100190, China
| | - Ming Bao
- School of Materials Science and Intelligent Engineering, Nanjing University, Suzhou 215163, China.
| | - Zhifei Chen
- School of Materials Science and Intelligent Engineering, Nanjing University, Suzhou 215163, China
| | - Lihan Chen
- School of Psychological and Cognitive Sciences and Beijing Key Laboratory of Behavior and Mental Health, Peking University, Beijing 100871, China; Key Laboratory of Machine Perception (Ministry of Education), Peking University, Beijing 100871, China; National Engineering Laboratory for Big Data Analysis and Applications, Peking University, Beijing 100871, China; State Key Laboratory of General Artificial Intelligence, Peking University, Beijing, 100871, China.
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2
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Senkowski D, Engel AK. Multi-timescale neural dynamics for multisensory integration. Nat Rev Neurosci 2024; 25:625-642. [PMID: 39090214 DOI: 10.1038/s41583-024-00845-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/02/2024] [Indexed: 08/04/2024]
Abstract
Carrying out any everyday task, be it driving in traffic, conversing with friends or playing basketball, requires rapid selection, integration and segregation of stimuli from different sensory modalities. At present, even the most advanced artificial intelligence-based systems are unable to replicate the multisensory processes that the human brain routinely performs, but how neural circuits in the brain carry out these processes is still not well understood. In this Perspective, we discuss recent findings that shed fresh light on the oscillatory neural mechanisms that mediate multisensory integration (MI), including power modulations, phase resetting, phase-amplitude coupling and dynamic functional connectivity. We then consider studies that also suggest multi-timescale dynamics in intrinsic ongoing neural activity and during stimulus-driven bottom-up and cognitive top-down neural network processing in the context of MI. We propose a new concept of MI that emphasizes the critical role of neural dynamics at multiple timescales within and across brain networks, enabling the simultaneous integration, segregation, hierarchical structuring and selection of information in different time windows. To highlight predictions from our multi-timescale concept of MI, real-world scenarios in which multi-timescale processes may coordinate MI in a flexible and adaptive manner are considered.
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Affiliation(s)
- Daniel Senkowski
- Department of Psychiatry and Neurosciences, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Andreas K Engel
- Department of Neurophysiology and Pathophysiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
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3
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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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Wu Q, Sun L, Ding N, Yang Y. Musical tension is affected by metrical structure dynamically and hierarchically. Cogn Neurodyn 2024; 18:1955-1976. [PMID: 39104669 PMCID: PMC11297889 DOI: 10.1007/s11571-023-10058-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2022] [Revised: 11/29/2023] [Accepted: 12/11/2023] [Indexed: 08/07/2024] Open
Abstract
As the basis of musical emotions, dynamic tension experience is felt by listeners as music unfolds over time. The effects of musical harmonic and melodic structures on tension have been widely investigated, however, the potential roles of metrical structures in tension perception remain largely unexplored. This experiment examined how different metrical structures affect tension experience and explored the underlying neural activities. The electroencephalogram (EEG) was recorded and subjective tension was rated simultaneously while participants listened to music meter sequences. On large time scale of whole meter sequences, it was found that different overall tension and low-frequency (1 ~ 4 Hz) steady-state evoked potentials were elicited by metrical structures with different periods of strong beats, and the higher overall tension was associated with metrical structure with the shorter intervals between strong beats. On small time scale of measures, dynamic tension fluctuations within measures was found to be associated with the periodic modulations of high-frequency (10 ~ 25 Hz) neural activities. The comparisons between the same beats within measures and across different meters both on small and large time scales verified the contextual effects of meter on tension induced by beats. Our findings suggest that the overall tension is determined by temporal intervals between strong beats, and the dynamic tension experience may arise from cognitive processing of hierarchical temporal expectation and attention, which are discussed under the theoretical frameworks of metrical hierarchy, musical expectation and dynamic attention.
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Affiliation(s)
- Qiong Wu
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences, No. 16 Lincui Road, Chaoyang District, Beijing, 100101 China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Lijun Sun
- College of Arts, Nanjing University of Aeronautics and Astronautics, Nanjing, China
| | - Nai Ding
- Key Laboratory for Biomedical Engineering of Ministry of Education, College of Biomedical Engineering and Instrument Sciences, Zhejiang University, Hangzhou, China
| | - Yufang Yang
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences, No. 16 Lincui Road, Chaoyang District, Beijing, 100101 China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
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MacLean J, Stirn J, Bidelman GM. Auditory-motor entrainment and listening experience shape the perceptual learning of concurrent speech. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.07.18.604167. [PMID: 39071391 PMCID: PMC11275804 DOI: 10.1101/2024.07.18.604167] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/30/2024]
Abstract
Background Plasticity from auditory experience shapes the brain's encoding and perception of sound. Though prior research demonstrates that neural entrainment (i.e., brain-to-acoustic synchronization) aids speech perception, how long- and short-term plasticity influence entrainment to concurrent speech has not been investigated. Here, we explored neural entrainment mechanisms and the interplay between short- and long-term neuroplasticity for rapid auditory perceptual learning of concurrent speech sounds in young, normal-hearing musicians and nonmusicians. Method Participants learned to identify double-vowel mixtures during ∼45 min training sessions with concurrent high-density EEG recordings. We examined the degree to which brain responses entrained to the speech-stimulus train (∼9 Hz) to investigate whether entrainment to speech prior to behavioral decision predicted task performance. Source and directed functional connectivity analyses of the EEG probed whether behavior was driven by group differences auditory-motor coupling. Results Both musicians and nonmusicians showed rapid perceptual learning in accuracy with training. Interestingly, listeners' neural entrainment strength prior to target speech mixtures predicted behavioral identification performance; stronger neural synchronization was observed preceding incorrect compared to correct trial responses. We also found stark hemispheric biases in auditory-motor coupling during speech entrainment, with greater auditory-motor connectivity in the right compared to left hemisphere for musicians (R>L) but not in nonmusicians (R=L). Conclusions Our findings confirm stronger neuroacoustic synchronization and auditory-motor coupling during speech processing in musicians. Stronger neural entrainment to rapid stimulus trains preceding incorrect behavioral responses supports the notion that alpha-band (∼10 Hz) arousal/suppression in brain activity is an important modulator of trial-by-trial success in perceptual processing.
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Ishizaka Y, Otsuka S, Nakagawa S. Relationships between the expectations based on the regularity of preceding sound sequences and the medial olivocochlear reflex. PLoS One 2024; 19:e0304027. [PMID: 39018315 PMCID: PMC11253965 DOI: 10.1371/journal.pone.0304027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2023] [Accepted: 05/05/2024] [Indexed: 07/19/2024] Open
Abstract
Rhythms are the most natural cue for temporal anticipation because many sounds in our living environment have rhythmic structures. Humans have cortical mechanisms that can predict the arrival of the next sound based on rhythm and periodicity. Herein, we showed that temporal anticipation, based on the regularity of sound sequences, modulates peripheral auditory responses via efferent innervation. The medial olivocochlear reflex (MOCR), a sound-activated efferent feedback mechanism that controls outer hair cell motility, was inferred noninvasively by measuring the suppression of otoacoustic emissions (OAE). First, OAE suppression was compared between conditions in which sound sequences preceding the MOCR elicitor were presented at regular (predictable condition) or irregular (unpredictable condition) intervals. We found that OAE suppression in the predictable condition was stronger than that in the unpredictable condition. This implies that the MOCR is strengthened by the regularity of preceding sound sequences. In addition, to examine how many regularly presented preceding sounds are required to enhance the MOCR, we compared OAE suppression within stimulus sequences with 0-3 preceding tones. The OAE suppression was strengthened only when there were at least three regular preceding tones. This suggests that the MOCR was not automatically enhanced by a single stimulus presented immediately before the MOCR elicitor, but rather that it was enhanced by the regularity of the preceding sound sequences.
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Affiliation(s)
- Yuki Ishizaka
- Department of Medical Engineering, Graduate School of Science and Engineering, Chiba University, Chiba, Japan
| | - Sho Otsuka
- Department of Medical Engineering, Graduate School of Science and Engineering, Chiba University, Chiba, Japan
- Center for Frontier Medical Engineering, Chiba University, Chiba, Japan
| | - Seiji Nakagawa
- Department of Medical Engineering, Graduate School of Science and Engineering, Chiba University, Chiba, Japan
- Center for Frontier Medical Engineering, Chiba University, Chiba, Japan
- Med-Tech Link Center, Chiba University Hospital, Chiba, Japan
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7
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Edalati M, Wallois F, Ghostine G, Kongolo G, Trainor LJ, Moghimi S. Neural oscillations suggest periodicity encoding during auditory beat processing in the premature brain. Dev Sci 2024:e13550. [PMID: 39010656 DOI: 10.1111/desc.13550] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2023] [Revised: 06/25/2024] [Accepted: 06/26/2024] [Indexed: 07/17/2024]
Abstract
When exposed to rhythmic patterns with temporal regularity, adults exhibit an inherent ability to extract and anticipate an underlying sequence of regularly spaced beats, which is internally constructed, as beats are experienced even when no events occur at beat positions (e.g., in the case of rests). Perception of rhythm and synchronization to periodicity is indispensable for development of cognitive functions, social interaction, and adaptive behavior. We evaluated neural oscillatory activity in premature newborns (n = 19, mean age, 32 ± 2.59 weeks gestational age) during exposure to an auditory rhythmic sequence, aiming to identify early traces of periodicity encoding and rhythm processing through entrainment of neural oscillations at this stage of neurodevelopment. The rhythmic sequence elicited a systematic modulation of alpha power, synchronized to expected beat locations coinciding with both tones and rests, and independent of whether the beat was preceded by tone or rest. In addition, the periodic alpha-band fluctuations reached maximal power slightly before the corresponding beat onset times. Together, our results show neural encoding of periodicity in the premature brain involving neural oscillations in the alpha range that are much faster than the beat tempo, through alignment of alpha power to the beat tempo, consistent with observations in adults on predictive processing of temporal regularities in auditory rhythms. RESEARCH HIGHLIGHTS: In response to the presented rhythmic pattern, systematic modulations of alpha power showed that the premature brain extracted the temporal regularity of the underlying beat. In contrast to evoked potentials, which are greatly reduced when there is no sounds event, the modulation of alpha power occurred for beats coinciding with both tones and rests in a predictive way. The findings provide the first evidence for the neural coding of periodicity in auditory rhythm perception before the age of term.
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Affiliation(s)
- Mohammadreza Edalati
- Inserm UMR1105, Groupe de Recherches sur l'Analyse Multimodale de la Fonction Cérébrale, Université de Picardie Jules Verve, Amiens Cedex, France
| | - Fabrice Wallois
- Inserm UMR1105, Groupe de Recherches sur l'Analyse Multimodale de la Fonction Cérébrale, Université de Picardie Jules Verve, Amiens Cedex, France
- Inserm UMR1105, EFSN Pédiatriques, Amiens University Hospital, Amiens Cedex, France
| | - Ghida Ghostine
- Inserm UMR1105, Groupe de Recherches sur l'Analyse Multimodale de la Fonction Cérébrale, Université de Picardie Jules Verve, Amiens Cedex, France
| | - Guy Kongolo
- Inserm UMR1105, Groupe de Recherches sur l'Analyse Multimodale de la Fonction Cérébrale, Université de Picardie Jules Verve, Amiens Cedex, France
| | - Laurel J Trainor
- Department of Psychology, Neuroscience and Behaviour, McMaster University, Hamilton, Ontario, Canada
- McMaster Institute for Music and the Mind, McMaster University, Hamilton, Ontario, Canada
- Rotman Research Institute, Baycrest Hospital, Toronto, Ontario, Canada
| | - Sahar Moghimi
- Inserm UMR1105, Groupe de Recherches sur l'Analyse Multimodale de la Fonction Cérébrale, Université de Picardie Jules Verve, Amiens Cedex, France
- Inserm UMR1105, EFSN Pédiatriques, Amiens University Hospital, Amiens Cedex, France
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Sridhar S, Lowet E, Gritton HJ, Freire J, Zhou C, Liang F, Han X. Beta-frequency sensory stimulation enhances gait rhythmicity through strengthened coupling between striatal networks and stepping movement. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.07.07.602408. [PMID: 39026712 PMCID: PMC11257482 DOI: 10.1101/2024.07.07.602408] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/20/2024]
Abstract
Stepping movement is delta (1-4 Hz) rhythmic and depends on sensory inputs. In addition to delta rhythms, beta (10-30 Hz) frequency dynamics are also prominent in the motor circuits and are coupled to neuronal delta rhythms both at the network and the cellular levels. Since beta rhythms are broadly supported by cortical and subcortical sensorimotor circuits, we explore how beta-frequency sensory stimulation influences delta-rhythmic stepping movement, and dorsal striatal circuit regulation of stepping. We delivered audiovisual stimulation at 10 Hz or 145 Hz to mice voluntarily locomoting, while simultaneously recording stepping movement, striatal cellular calcium dynamics and local field potentials (LFPs). We found that 10 Hz, but not 145 Hz stimulation prominently entrained striatal LFPs. Even though sensory stimulation at both frequencies promoted locomotion and desynchronized striatal network, only 10 Hz stimulation enhanced the delta rhythmicity of stepping movement and strengthened the coupling between stepping and striatal LFP delta and beta oscillations. These results demonstrate that higher frequency sensory stimulation can modulate lower frequency dorsal striatal neural dynamics and improve stepping rhythmicity, highlighting the translational potential of non-invasive beta-frequency sensory stimulation for improving gait.
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Keshavarzi M, Mandke K, Macfarlane A, Parvez L, Gabrielczyk F, Wilson A, Goswami U. Atypical beta-band effects in children with dyslexia in response to rhythmic audio-visual speech. Clin Neurophysiol 2024; 160:47-55. [PMID: 38387402 DOI: 10.1016/j.clinph.2024.02.008] [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: 09/01/2023] [Revised: 01/31/2024] [Accepted: 02/06/2024] [Indexed: 02/24/2024]
Abstract
OBJECTIVE Previous studies have reported atypical delta phase in children with dyslexia, and that delta phase modulates the amplitude of the beta-band response via delta-beta phase-amplitude coupling (PAC). Accordingly, the atypical delta-band effects in children with dyslexia may imply related atypical beta-band effects, particularly regarding delta-beta PAC. Our primary objective was to explore beta-band oscillations in children with and without dyslexia, to explore potentially atypical effects in the beta band in dyslexic children. METHODS We collected EEG data during a rhythmic speech paradigm from 51 children (21 control; 30 dyslexia). We then assessed beta-band phase entrainment, beta-band angular velocity, beta-band power responses and delta-beta PAC. RESULTS We found significant beta-band phase entrainment for control children but not for dyslexic children. Furthermore, children with dyslexia exhibited significantly faster beta-band angular velocity and significantly greater beta-band power. Delta-beta PAC was comparable in both groups. CONCLUSION Atypical beta-band effects were observed in children with dyslexia. However, delta-beta PAC was comparable in both dyslexic and control children. SIGNIFICANCE These findings offer further insights into the neurophysiological basis of atypical rhythmic speech processing by children with dyslexia, suggesting the involvement of a wide range of frequency bands.
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Affiliation(s)
- Mahmoud Keshavarzi
- Centre for Neuroscience in Education, Department of Psychology, University of Cambridge, Cambridge CB2 3EB, United Kingdom.
| | - Kanad Mandke
- Centre for Neuroscience in Education, Department of Psychology, University of Cambridge, Cambridge CB2 3EB, United Kingdom
| | - Annabel Macfarlane
- Centre for Neuroscience in Education, Department of Psychology, University of Cambridge, Cambridge CB2 3EB, United Kingdom
| | - Lyla Parvez
- Centre for Neuroscience in Education, Department of Psychology, University of Cambridge, Cambridge CB2 3EB, United Kingdom
| | - Fiona Gabrielczyk
- Centre for Neuroscience in Education, Department of Psychology, University of Cambridge, Cambridge CB2 3EB, United Kingdom
| | - Angela Wilson
- Centre for Neuroscience in Education, Department of Psychology, University of Cambridge, Cambridge CB2 3EB, United Kingdom
| | - Usha Goswami
- Centre for Neuroscience in Education, Department of Psychology, University of Cambridge, Cambridge CB2 3EB, United Kingdom
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Zalta A, Large EW, Schön D, Morillon B. Neural dynamics of predictive timing and motor engagement in music listening. SCIENCE ADVANCES 2024; 10:eadi2525. [PMID: 38446888 PMCID: PMC10917349 DOI: 10.1126/sciadv.adi2525] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/13/2023] [Accepted: 01/30/2024] [Indexed: 03/08/2024]
Abstract
Why do humans spontaneously dance to music? To test the hypothesis that motor dynamics reflect predictive timing during music listening, we created melodies with varying degrees of rhythmic predictability (syncopation) and asked participants to rate their wanting-to-move (groove) experience. Degree of syncopation and groove ratings are quadratically correlated. Magnetoencephalography data showed that, while auditory regions track the rhythm of melodies, beat-related 2-hertz activity and neural dynamics at delta (1.4 hertz) and beta (20 to 30 hertz) rates in the dorsal auditory pathway code for the experience of groove. Critically, the left sensorimotor cortex coordinates these groove-related delta and beta activities. These findings align with the predictions of a neurodynamic model, suggesting that oscillatory motor engagement during music listening reflects predictive timing and is effected by interaction of neural dynamics along the dorsal auditory pathway.
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Affiliation(s)
- Arnaud Zalta
- Aix Marseille Université, Inserm, INS, Institut de Neurosciences des Systèmes, Marseille, France
- APHM, INSERM, Inst Neurosci Syst, Service de Pharmacologie Clinique et Pharmacovigilance, Aix Marseille Université, Marseille, France
| | - Edward W. Large
- Department of Psychological Sciences, Ecological Psychology Division, University of Connecticut, Storrs, CT, USA
- Department of Physics, University of Connecticut, Storrs, CT, USA
| | - Daniele Schön
- Aix Marseille Université, Inserm, INS, Institut de Neurosciences des Systèmes, Marseille, France
| | - Benjamin Morillon
- Aix Marseille Université, Inserm, INS, Institut de Neurosciences des Systèmes, Marseille, France
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Coull JT, Korolczuk I, Morillon B. The Motor of Time: Coupling Action to Temporally Predictable Events Heightens Perception. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2024; 1455:199-213. [PMID: 38918353 DOI: 10.1007/978-3-031-60183-5_11] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/27/2024]
Abstract
Timing and motor function share neural circuits and dynamics, which underpin their close and synergistic relationship. For instance, the temporal predictability of a sensory event optimizes motor responses to that event. Knowing when an event is likely to occur lowers response thresholds, leading to faster and more efficient motor behavior though in situations of response conflict can induce impulsive and inappropriate responding. In turn, through a process of active sensing, coupling action to temporally predictable sensory input enhances perceptual processing. Action not only hones perception of the event's onset or duration, but also boosts sensory processing of its non-temporal features such as pitch or shape. The effects of temporal predictability on motor behavior and sensory processing involve motor and left parietal cortices and are mediated by changes in delta and beta oscillations in motor areas of the brain.
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Affiliation(s)
- Jennifer T Coull
- Centre for Research in Psychology and Neuroscience (UMR 7077), Aix-Marseille Université & CNRS, Marseille, France.
| | - Inga Korolczuk
- Department of Pathophysiology, Medical University of Lublin, Lublin, Poland
| | - Benjamin Morillon
- Aix Marseille Université, INSERM, INS, Institut de Neurosciences des Systèmes, Marseille, France
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12
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Mai G, Wang WSY. Distinct roles of delta- and theta-band neural tracking for sharpening and predictive coding of multi-level speech features during spoken language processing. Hum Brain Mapp 2023; 44:6149-6172. [PMID: 37818940 PMCID: PMC10619373 DOI: 10.1002/hbm.26503] [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: 04/28/2023] [Revised: 08/17/2023] [Accepted: 09/13/2023] [Indexed: 10/13/2023] Open
Abstract
The brain tracks and encodes multi-level speech features during spoken language processing. It is evident that this speech tracking is dominant at low frequencies (<8 Hz) including delta and theta bands. Recent research has demonstrated distinctions between delta- and theta-band tracking but has not elucidated how they differentially encode speech across linguistic levels. Here, we hypothesised that delta-band tracking encodes prediction errors (enhanced processing of unexpected features) while theta-band tracking encodes neural sharpening (enhanced processing of expected features) when people perceive speech with different linguistic contents. EEG responses were recorded when normal-hearing participants attended to continuous auditory stimuli that contained different phonological/morphological and semantic contents: (1) real-words, (2) pseudo-words and (3) time-reversed speech. We employed multivariate temporal response functions to measure EEG reconstruction accuracies in response to acoustic (spectrogram), phonetic and phonemic features with the partialling procedure that singles out unique contributions of individual features. We found higher delta-band accuracies for pseudo-words than real-words and time-reversed speech, especially during encoding of phonetic features. Notably, individual time-lag analyses showed that significantly higher accuracies for pseudo-words than real-words started at early processing stages for phonetic encoding (<100 ms post-feature) and later stages for acoustic and phonemic encoding (>200 and 400 ms post-feature, respectively). Theta-band accuracies, on the other hand, were higher when stimuli had richer linguistic content (real-words > pseudo-words > time-reversed speech). Such effects also started at early stages (<100 ms post-feature) during encoding of all individual features or when all features were combined. We argue these results indicate that delta-band tracking may play a role in predictive coding leading to greater tracking of pseudo-words due to the presence of unexpected/unpredicted semantic information, while theta-band tracking encodes sharpened signals caused by more expected phonological/morphological and semantic contents. Early presence of these effects reflects rapid computations of sharpening and prediction errors. Moreover, by measuring changes in EEG alpha power, we did not find evidence that the observed effects can be solitarily explained by attentional demands or listening efforts. Finally, we used directed information analyses to illustrate feedforward and feedback information transfers between prediction errors and sharpening across linguistic levels, showcasing how our results fit with the hierarchical Predictive Coding framework. Together, we suggest the distinct roles of delta and theta neural tracking for sharpening and predictive coding of multi-level speech features during spoken language processing.
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Affiliation(s)
- Guangting Mai
- Hearing Theme, National Institute for Health Research Nottingham Biomedical Research Centre, Nottingham, UK
- Academic Unit of Mental Health and Clinical Neurosciences, School of Medicine, The University of Nottingham, Nottingham, UK
- Division of Psychology and Language Sciences, Faculty of Brain Sciences, University College London, London, UK
| | - William S-Y Wang
- Department of Chinese and Bilingual Studies, Hong Kong Polytechnic University, Hung Hom, Hong Kong
- Language Engineering Laboratory, The Chinese University of Hong Kong, Hong Kong, China
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13
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Meng J, Zhao Y, Wang K, Sun J, Yi W, Xu F, Xu M, Ming D. Rhythmic temporal prediction enhances neural representations of movement intention for brain-computer interface. J Neural Eng 2023; 20:066004. [PMID: 37875107 DOI: 10.1088/1741-2552/ad0650] [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: 05/23/2023] [Accepted: 10/24/2023] [Indexed: 10/26/2023]
Abstract
Objective.Detecting movement intention is a typical use of brain-computer interfaces (BCI). However, as an endogenous electroencephalography (EEG) feature, the neural representation of movement is insufficient for improving motor-based BCI. This study aimed to develop a new movement augmentation BCI encoding paradigm by incorporating the cognitive function of rhythmic temporal prediction, and test the feasibility of this new paradigm in optimizing detections of movement intention.Methods.A visual-motion synchronization task was designed with two movement intentions (left vs. right) and three rhythmic temporal prediction conditions (1000 ms vs. 1500 ms vs. no temporal prediction). Behavioural and EEG data of 24 healthy participants were recorded. Event-related potentials (ERPs), event-related spectral perturbation induced by left- and right-finger movements, the common spatial pattern (CSP) and support vector machine, Riemann tangent space algorithm and logistic regression were used and compared across the three temporal prediction conditions, aiming to test the impact of temporal prediction on movement detection.Results.Behavioural results showed significantly smaller deviation time for 1000 ms and 1500 ms conditions. ERP analyses revealed 1000 ms and 1500 ms conditions led to rhythmic oscillations with a time lag in contralateral and ipsilateral areas of movement. Compared with no temporal prediction, 1000 ms condition exhibited greater beta event-related desynchronization (ERD) lateralization in motor area (P< 0.001) and larger beta ERD in frontal area (P< 0.001). 1000 ms condition achieved an averaged left-right decoding accuracy of 89.71% using CSP and 97.30% using Riemann tangent space, both significantly higher than no temporal prediction. Moreover, movement and temporal information can be decoded simultaneously, achieving 88.51% four-classification accuracy.Significance.The results not only confirm the effectiveness of rhythmic temporal prediction in enhancing detection ability of motor-based BCI, but also highlight the dual encodings of movement and temporal information within a single BCI paradigm, which is promising to expand the range of intentions that can be decoded by the BCI.
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Affiliation(s)
- Jiayuan Meng
- The Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin 300072, People's Republic of China
- Haihe Laboratory of Brain-computer Interaction and Human-machine Integration, Tianjin 300392, People's Republic of China
| | - Yingru Zhao
- The Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin 300072, People's Republic of China
| | - Kun Wang
- The Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin 300072, People's Republic of China
- Haihe Laboratory of Brain-computer Interaction and Human-machine Integration, Tianjin 300392, People's Republic of China
| | - Jinsong Sun
- The Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin 300072, People's Republic of China
| | - Weibo Yi
- Beijing Machine and Equipment Institute, Beijing, People's Republic of China
| | - Fangzhou Xu
- International School for Optoelectronic Engineering, Qilu University of Technology (Shandong Academy of Sciences), Jinan, People's Republic of China
| | - Minpeng Xu
- The Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin 300072, People's Republic of China
- Haihe Laboratory of Brain-computer Interaction and Human-machine Integration, Tianjin 300392, People's Republic of China
- International School for Optoelectronic Engineering, Qilu University of Technology (Shandong Academy of Sciences), Jinan, People's Republic of China
| | - Dong Ming
- The Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin 300072, People's Republic of China
- Haihe Laboratory of Brain-computer Interaction and Human-machine Integration, Tianjin 300392, People's Republic of China
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14
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Hovsepyan S, Olasagasti I, Giraud AL. Rhythmic modulation of prediction errors: A top-down gating role for the beta-range in speech processing. PLoS Comput Biol 2023; 19:e1011595. [PMID: 37934766 PMCID: PMC10655987 DOI: 10.1371/journal.pcbi.1011595] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2022] [Revised: 11/17/2023] [Accepted: 10/11/2023] [Indexed: 11/09/2023] Open
Abstract
Natural speech perception requires processing the ongoing acoustic input while keeping in mind the preceding one and predicting the next. This complex computational problem could be handled by a dynamic multi-timescale hierarchical inferential process that coordinates the information flow up and down the language network hierarchy. Using a predictive coding computational model (Precoss-β) that identifies online individual syllables from continuous speech, we address the advantage of a rhythmic modulation of up and down information flows, and whether beta oscillations could be optimal for this. In the model, and consistent with experimental data, theta and low-gamma neural frequency scales ensure syllable-tracking and phoneme-level speech encoding, respectively, while the beta rhythm is associated with inferential processes. We show that a rhythmic alternation of bottom-up and top-down processing regimes improves syllable recognition, and that optimal efficacy is reached when the alternation of bottom-up and top-down regimes, via oscillating prediction error precisions, is in the beta range (around 20-30 Hz). These results not only demonstrate the advantage of a rhythmic alternation of up- and down-going information, but also that the low-beta range is optimal given sensory analysis at theta and low-gamma scales. While specific to speech processing, the notion of alternating bottom-up and top-down processes with frequency multiplexing might generalize to other cognitive architectures.
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Affiliation(s)
- Sevada Hovsepyan
- Department of Basic Neurosciences, University of Geneva, Biotech Campus, Genève, Switzerland
| | - Itsaso Olasagasti
- Department of Basic Neurosciences, University of Geneva, Biotech Campus, Genève, Switzerland
| | - Anne-Lise Giraud
- Department of Basic Neurosciences, University of Geneva, Biotech Campus, Genève, Switzerland
- Institut Pasteur, Université Paris Cité, Inserm, Institut de l’Audition, France
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15
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Doelling KB, Arnal LH, Assaneo MF. Adaptive oscillators support Bayesian prediction in temporal processing. PLoS Comput Biol 2023; 19:e1011669. [PMID: 38011225 PMCID: PMC10703266 DOI: 10.1371/journal.pcbi.1011669] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2023] [Revised: 12/07/2023] [Accepted: 11/07/2023] [Indexed: 11/29/2023] Open
Abstract
Humans excel at predictively synchronizing their behavior with external rhythms, as in dance or music performance. The neural processes underlying rhythmic inferences are debated: whether predictive perception relies on high-level generative models or whether it can readily be implemented locally by hard-coded intrinsic oscillators synchronizing to rhythmic input remains unclear and different underlying computational mechanisms have been proposed. Here we explore human perception for tone sequences with some temporal regularity at varying rates, but with considerable variability. Next, using a dynamical systems perspective, we successfully model the participants behavior using an adaptive frequency oscillator which adjusts its spontaneous frequency based on the rate of stimuli. This model better reflects human behavior than a canonical nonlinear oscillator and a predictive ramping model-both widely used for temporal estimation and prediction-and demonstrate that the classical distinction between absolute and relative computational mechanisms can be unified under this framework. In addition, we show that neural oscillators may constitute hard-coded physiological priors-in a Bayesian sense-that reduce temporal uncertainty and facilitate the predictive processing of noisy rhythms. Together, the results show that adaptive oscillators provide an elegant and biologically plausible means to subserve rhythmic inference, reconciling previously incompatible frameworks for temporal inferential processes.
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Affiliation(s)
- Keith B. Doelling
- Institut Pasteur, Université Paris Cité, Inserm UA06, Institut de l’Audition, Paris, France
- Center for Language Music and Emotion, New York University, New York, New York, United States of America
| | - Luc H. Arnal
- Institut Pasteur, Université Paris Cité, Inserm UA06, Institut de l’Audition, Paris, France
| | - M. Florencia Assaneo
- Instituto de Neurobiología, Universidad Nacional Autónoma de México, Santiago de Querétaro, México
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16
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Criscuolo A, Schwartze M, Prado L, Ayala Y, Merchant H, Kotz SA. Macaque monkeys and humans sample temporal regularities in the acoustic environment. Prog Neurobiol 2023; 229:102502. [PMID: 37442410 DOI: 10.1016/j.pneurobio.2023.102502] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2023] [Revised: 07/06/2023] [Accepted: 07/10/2023] [Indexed: 07/15/2023]
Abstract
Many animal species show comparable abilities to detect basic rhythms and produce rhythmic behavior. Yet, the capacities to process complex rhythms and synchronize rhythmic behavior appear to be species-specific: vocal learning animals can, but some primates might not. This discrepancy is of high interest as there is a putative link between rhythm processing and the development of sophisticated sensorimotor behavior in humans. Do our closest ancestors show comparable endogenous dispositions to sample the acoustic environment in the absence of task instructions and training? We recorded EEG from macaque monkeys and humans while they passively listened to isochronous equitone sequences. Individual- and trial-level analyses showed that macaque monkeys' and humans' delta-band neural oscillations encoded and tracked the timing of auditory events. Further, mu- (8-15 Hz) and beta-band (12-20 Hz) oscillations revealed the superimposition of varied accentuation patterns on a subset of trials. These observations suggest convergence in the encoding and dynamic attending of temporal regularities in the acoustic environment, bridging a gap in the phylogenesis of rhythm cognition.
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Affiliation(s)
- Antonio Criscuolo
- Department of Neuropsychology & Psychopharmacology, Faculty of Psychology and Neuroscience, Maastricht University, the Netherlands
| | - Michael Schwartze
- Department of Neuropsychology & Psychopharmacology, Faculty of Psychology and Neuroscience, Maastricht University, the Netherlands
| | - Luis Prado
- Instituto de Neurobiología, UNAM, Campus Juriquilla, Boulevard Juriquilla No. 3001, 76230 Queretaro, QRO, Mexico
| | - Yaneri Ayala
- Instituto de Neurobiología, UNAM, Campus Juriquilla, Boulevard Juriquilla No. 3001, 76230 Queretaro, QRO, Mexico
| | - Hugo Merchant
- Instituto de Neurobiología, UNAM, Campus Juriquilla, Boulevard Juriquilla No. 3001, 76230 Queretaro, QRO, Mexico
| | - Sonja A Kotz
- Department of Neuropsychology & Psychopharmacology, Faculty of Psychology and Neuroscience, Maastricht University, the Netherlands; Department of Neuropsychology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.
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17
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Berto M, Ricciardi E, Pietrini P, Weisz N, Bottari D. Distinguishing Fine Structure and Summary Representation of Sound Textures from Neural Activity. eNeuro 2023; 10:ENEURO.0026-23.2023. [PMID: 37775312 PMCID: PMC10576259 DOI: 10.1523/eneuro.0026-23.2023] [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: 01/23/2023] [Revised: 08/25/2023] [Accepted: 08/31/2023] [Indexed: 10/01/2023] Open
Abstract
The auditory system relies on both local and summary representations; acoustic local features exceeding system constraints are compacted into a set of summary statistics. Such compression is pivotal for sound-object recognition. Here, we assessed whether computations subtending local and statistical representations of sounds could be distinguished at the neural level. A computational auditory model was employed to extract auditory statistics from natural sound textures (i.e., fire, rain) and to generate synthetic exemplars where local and statistical properties were controlled. Twenty-four human participants were passively exposed to auditory streams while the electroencephalography (EEG) was recorded. Each stream could consist of short, medium, or long sounds to vary the amount of acoustic information. Short and long sounds were expected to engage local or summary statistics representations, respectively. Data revealed a clear dissociation. Compared with summary-based ones, auditory-evoked responses based on local information were selectively greater in magnitude in short sounds. Opposite patterns emerged for longer sounds. Neural oscillations revealed that local features and summary statistics rely on neural activity occurring at different temporal scales, faster (beta) or slower (theta-alpha). These dissociations emerged automatically without explicit engagement in a discrimination task. Overall, this study demonstrates that the auditory system developed distinct coding mechanisms to discriminate changes in the acoustic environment based on fine structure and summary representations.
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Affiliation(s)
- Martina Berto
- Molecular Mind Lab, IMT School for Advanced Studies Lucca, Lucca, 55100, Italy
| | - Emiliano Ricciardi
- Molecular Mind Lab, IMT School for Advanced Studies Lucca, Lucca, 55100, Italy
| | - Pietro Pietrini
- Molecular Mind Lab, IMT School for Advanced Studies Lucca, Lucca, 55100, Italy
| | - Nathan Weisz
- Department of Psychology and Centre for Cognitive Neuroscience, Paris-Lodron University of Salzburg, 5020, Austria
- Neuroscience Institute, Christian Doppler University Hospital, Paracelsus Medical University, Salzburg, 5020, Austria
| | - Davide Bottari
- Molecular Mind Lab, IMT School for Advanced Studies Lucca, Lucca, 55100, Italy
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18
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Montijn ND, Gerritsen L, van Son D, Engelhard IM. Positive future thinking without task-relevance increases anxiety and frontal stress regulation. Biol Psychol 2023; 182:108620. [PMID: 37399916 DOI: 10.1016/j.biopsycho.2023.108620] [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: 09/28/2022] [Revised: 06/14/2023] [Accepted: 06/15/2023] [Indexed: 07/05/2023]
Abstract
Negative anticipatory biases can affect the way we interpret and subjectively experience events. Through its role in emotion regulation, positive future thinking may provide an accessible way to attenuate these biases. However, it is unclear whether positive future thinking works ubiquitously, independent of contextual relevance. Here, we used a positive future thinking intervention (task-relevant; task-irrelevant and control condition) prior to a social stress task to adapt the way this task was experienced. We assessed subjective and objective stress measures and also recorded resting state electroencephalography (EEG) to assess intervention related differences in the level of frontal delta-beta coupling, which is considered a neurobiological substrate of stress regulation. Results show that the intervention reduced subjective stress and anxiety, and increased social fixation behavior and task performance, but only if future thinking was task-relevant. Paradoxically, task-irrelevant positive future thoughts enhanced negative perceptual biases and stress reactivity. This increase in stress reactivity was corroborated by elevated levels of frontal delta-beta coupling during event anticipation, which suggests an increased demand for stress regulation. Together, these findings show that positive future thinking can mitigate the negative emotional, behavioral and neurobiological consequences of a stressful event, but that it should not be applied indiscriminately.
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Affiliation(s)
- Nicole D Montijn
- Department of Clinical Psychology, Utrecht University, Utrecht, the Netherlands
| | - Lotte Gerritsen
- Department of Clinical Psychology, Utrecht University, Utrecht, the Netherlands
| | - Dana van Son
- Department of Clinical Psychology, Utrecht University, Utrecht, the Netherlands; Institute of Psychology, Leiden University, Leiden, the Netherlands
| | - Iris M Engelhard
- Department of Clinical Psychology, Utrecht University, Utrecht, the Netherlands.
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19
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Franke LM, Perera RA, Sponheim SR. Long-term resting EEG correlates of repetitive mild traumatic brain injury and loss of consciousness: alterations in alpha-beta power. Front Neurol 2023; 14:1241481. [PMID: 37706009 PMCID: PMC10495577 DOI: 10.3389/fneur.2023.1241481] [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: 06/16/2023] [Accepted: 07/31/2023] [Indexed: 09/15/2023] Open
Abstract
Objective Long-term changes to EEG spectra after mild traumatic brain injury (mTBI, i.e., concussion) have been reported; however, the role of injury characteristics in long-term EEG changes is unclear. It is also unclear how any chronic EEG changes may underlie either subjective or objective cognitive difficulties, which might help explain the variability in recovery after mTBI. Methods This study included resting-state high-density electroencephalography (EEG) and mTBI injury data from 340 service members and veterans collected on average 11 years after injury as well as measures of objective and subjective cognitive functioning. The average absolute power within standard bands was computed across 11 spatial regions of the scalp. To determine how variation in brain function was accounted for by injury characteristics and aspects of cognition, we used regression analyses to investigate how EEG power was predicted by mTBI history characteristics [number, number with post-traumatic amnesia and witnessed loss of consciousness (PTA + LOC), context of injury (combat or non-combat), potentially concussive blast exposures], subjective complaints (TBIQOL General Cognitive and Executive Function Concerns), and cognitive performance (NIH Toolbox Fluid Intelligence and premorbid IQ). Results Post-traumatic amnesia (PTA) and loss of consciousness (LOC), poorer cognitive performance, and combat experience were associated with reduced power in beta frequencies. Executive function complaints, lower premorbid IQ, poorer cognitive performance, and higher psychological distress symptoms were associated with greater power of delta frequencies. Multiple regression confirmed the relationship between PTA + LOC, poor cognitive performance, cognitive complaints, and reduced power in beta frequencies and revealed that repetitive mTBI was associated with a higher power in alpha and beta frequencies. By contrast, neither dichotomous classification of the presence and absence of mTBI history nor blast exposures showed a relationship with EEG power variables. Conclusion Long-term alterations in resting EEG spectra measures of brain function do not appear to reflect any lasting effect of a history of mTBI or blast exposures. However, power in higher frequencies reflects both injury characteristics and subjective and objective cognitive difficulties, while power in lower frequencies is related to cognitive functions and psychological distress associated with poor long-term outcomes after mTBI.
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Affiliation(s)
- Laura M. Franke
- Department of Physical Medicine and Rehabilitation, Virginia Commonwealth University, Richmond, VA, United States
| | - Robert A. Perera
- Department of Biostatistics, Virginia Commonwealth University, Richmond, VA, United States
| | - Scott R. Sponheim
- Minneapolis VA Health Care System, Minneapolis, MN, United States
- Department of Psychiatry and Behavioral Sciences, University of Minnesota, Minneapolis, MN, United States
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20
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Mangalam M, Kelty-Stephen DG, Sommerfeld JH, Stergiou N, Likens AD. Temporal organization of stride-to-stride variations contradicts predictive models for sensorimotor control of footfalls during walking. PLoS One 2023; 18:e0290324. [PMID: 37616227 PMCID: PMC10449478 DOI: 10.1371/journal.pone.0290324] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2023] [Accepted: 08/04/2023] [Indexed: 08/26/2023] Open
Abstract
Walking exhibits stride-to-stride variations. Given ongoing perturbations, these variations critically support continuous adaptations between the goal-directed organism and its surroundings. Here, we report that stride-to-stride variations during self-paced overground walking show cascade-like intermittency-stride intervals become uneven because stride intervals of different sizes interact and do not simply balance each other. Moreover, even when synchronizing footfalls with visual cues with variable timing of presentation, asynchrony in the timings of the cue and footfall shows cascade-like intermittency. This evidence conflicts with theories about the sensorimotor control of walking, according to which internal predictive models correct asynchrony in the timings of the cue and footfall from one stride to the next on crossing thresholds leading to the risk of falling. Hence, models of the sensorimotor control of walking must account for stride-to-stride variations beyond the constraints of threshold-dependent predictive internal models.
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Affiliation(s)
- Madhur Mangalam
- Division of Biomechanics and Research Development, Department of Biomechanics, and Center for Research in Human Movement Variability, University of Nebraska at Omaha, Omaha, NE, United States of America
| | - Damian G. Kelty-Stephen
- Department of Psychology, State University of New York at New Paltz, New Paltz, NY, United States of America
| | - Joel H. Sommerfeld
- Division of Biomechanics and Research Development, Department of Biomechanics, and Center for Research in Human Movement Variability, University of Nebraska at Omaha, Omaha, NE, United States of America
| | - Nick Stergiou
- Division of Biomechanics and Research Development, Department of Biomechanics, and Center for Research in Human Movement Variability, University of Nebraska at Omaha, Omaha, NE, United States of America
- Department of Department of Physical Education, & Sport Science, Aristotle University, Thessaloniki, Greece
| | - Aaron D. Likens
- Division of Biomechanics and Research Development, Department of Biomechanics, and Center for Research in Human Movement Variability, University of Nebraska at Omaha, Omaha, NE, United States of America
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21
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Moinnereau MA, Oliveira AA, Falk TH. Quantifying time perception during virtual reality gameplay using a multimodal biosensor-instrumented headset: a feasibility study. FRONTIERS IN NEUROERGONOMICS 2023; 4:1189179. [PMID: 38234469 PMCID: PMC10790866 DOI: 10.3389/fnrgo.2023.1189179] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/18/2023] [Accepted: 06/29/2023] [Indexed: 01/19/2024]
Abstract
We have all experienced the sense of time slowing down when we are bored or speeding up when we are focused, engaged, or excited about a task. In virtual reality (VR), perception of time can be a key aspect related to flow, immersion, engagement, and ultimately, to overall quality of experience. While several studies have explored changes in time perception using questionnaires, limited studies have attempted to characterize them objectively. In this paper, we propose the use of a multimodal biosensor-embedded VR headset capable of measuring electroencephalography (EEG), electrooculography (EOG), electrocardiography (ECG), and head movement data while the user is immersed in a virtual environment. Eight gamers were recruited to play a commercial action game comprised of puzzle-solving tasks and first-person shooting and combat. After gameplay, ratings were given across multiple dimensions, including (1) the perception of time flowing differently than usual and (2) the gamers losing sense of time. Several features were extracted from the biosignals, ranked based on a two-step feature selection procedure, and then mapped to a predicted time perception rating using a Gaussian process regressor. Top features were found to come from the four signal modalities and the two regressors, one for each time perception scale, were shown to achieve results significantly better than chance. An in-depth analysis of the top features is presented with the hope that the insights can be used to inform the design of more engaging and immersive VR experiences.
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Affiliation(s)
- Marc-Antoine Moinnereau
- Institut National de la Recherche Scientifique (INRS-EMT), University of Québec, Montréal, QC, Canada
| | - Alcyr A. Oliveira
- Graduate Program in Psychology and Health, Federal University of Health Sciences of Porto Alegre, Porto Alegre, Brazil
| | - Tiago H. Falk
- Institut National de la Recherche Scientifique (INRS-EMT), University of Québec, Montréal, QC, Canada
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22
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Gunasekaran H, Azizi L, van Wassenhove V, Herbst SK. Characterizing endogenous delta oscillations in human MEG. Sci Rep 2023; 13:11031. [PMID: 37419933 PMCID: PMC10328979 DOI: 10.1038/s41598-023-37514-1] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2023] [Accepted: 06/22/2023] [Indexed: 07/09/2023] Open
Abstract
Rhythmic activity in the delta frequency range (0.5-3 Hz) is a prominent feature of brain dynamics. Here, we examined whether spontaneous delta oscillations, as found in invasive recordings in awake animals, can be observed in non-invasive recordings performed in humans with magnetoencephalography (MEG). In humans, delta activity is commonly reported when processing rhythmic sensory inputs, with direct relationships to behaviour. However, rhythmic brain dynamics observed during rhythmic sensory stimulation cannot be interpreted as an endogenous oscillation. To test for endogenous delta oscillations we analysed human MEG data during rest. For comparison, we additionally analysed two conditions in which participants engaged in spontaneous finger tapping and silent counting, arguing that internally rhythmic behaviours could incite an otherwise silent neural oscillator. A novel set of analysis steps allowed us to show narrow spectral peaks in the delta frequency range in rest, and during overt and covert rhythmic activity. Additional analyses in the time domain revealed that only the resting state condition warranted an interpretation of these peaks as endogenously periodic neural dynamics. In sum, this work shows that using advanced signal processing techniques, it is possible to observe endogenous delta oscillations in non-invasive recordings of human brain dynamics.
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Affiliation(s)
- Harish Gunasekaran
- Cognitive Neuroimaging Unit, NeuroSpin, CEA, INSERM, CNRS, Université Paris-Saclay, 91191, Gif/Yvette, France
| | - Leila Azizi
- Cognitive Neuroimaging Unit, NeuroSpin, CEA, INSERM, CNRS, Université Paris-Saclay, 91191, Gif/Yvette, France
| | - Virginie van Wassenhove
- Cognitive Neuroimaging Unit, NeuroSpin, CEA, INSERM, CNRS, Université Paris-Saclay, 91191, Gif/Yvette, France
| | - Sophie K Herbst
- Cognitive Neuroimaging Unit, NeuroSpin, CEA, INSERM, CNRS, Université Paris-Saclay, 91191, Gif/Yvette, France.
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23
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Shroff SN, Lowet E, Sridhar S, Gritton HJ, Abumuaileq M, Tseng HA, Cheung C, Zhou SL, Kondabolu K, Han X. Striatal cholinergic interneuron membrane voltage tracks locomotor rhythms in mice. Nat Commun 2023; 14:3802. [PMID: 37365189 PMCID: PMC10293266 DOI: 10.1038/s41467-023-39497-z] [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: 08/30/2022] [Accepted: 06/07/2023] [Indexed: 06/28/2023] Open
Abstract
Rhythmic neural network activity has been broadly linked to behavior. However, it is unclear how membrane potentials of individual neurons track behavioral rhythms, even though many neurons exhibit pace-making properties in isolated brain circuits. To examine whether single-cell voltage rhythmicity is coupled to behavioral rhythms, we focused on delta-frequencies (1-4 Hz) that are known to occur at both the neural network and behavioral levels. We performed membrane voltage imaging of individual striatal neurons simultaneously with network-level local field potential recordings in mice during voluntary movement. We report sustained delta oscillations in the membrane potentials of many striatal neurons, particularly cholinergic interneurons, which organize spikes and network oscillations at beta-frequencies (20-40 Hz) associated with locomotion. Furthermore, the delta-frequency patterned cellular dynamics are coupled to animals' stepping cycles. Thus, delta-rhythmic cellular dynamics in cholinergic interneurons, known for their autonomous pace-making capabilities, play an important role in regulating network rhythmicity and movement patterning.
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Affiliation(s)
- Sanaya N Shroff
- Department of Biomedical Engineering, Boston University, Boston, MA, USA
| | - Eric Lowet
- Department of Biomedical Engineering, Boston University, Boston, MA, USA.
| | - Sudiksha Sridhar
- Department of Biomedical Engineering, Boston University, Boston, MA, USA
| | - Howard J Gritton
- Department of Biomedical Engineering, Boston University, Boston, MA, USA
- Department of Comparative Biosciences, University of Illinois at Urbana-Champaign, Urbana, IL, USA
| | | | - Hua-An Tseng
- Department of Biomedical Engineering, Boston University, Boston, MA, USA
| | - Cyrus Cheung
- Department of Biomedical Engineering, Boston University, Boston, MA, USA
| | - Samuel L Zhou
- Department of Biomedical Engineering, Boston University, Boston, MA, USA
| | | | - Xue Han
- Department of Biomedical Engineering, Boston University, Boston, MA, USA.
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24
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Henderson J, Mari T, Hopkinson A, Hewitt D, Newton-Fenner A, Giesbrecht T, Marshall A, Stancak A, Fallon N. Neural correlates of perceptual texture change during active touch. Front Neurosci 2023; 17:1197113. [PMID: 37332863 PMCID: PMC10272454 DOI: 10.3389/fnins.2023.1197113] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2023] [Accepted: 05/11/2023] [Indexed: 06/20/2023] Open
Abstract
Introduction Texture changes occur frequently during real-world haptic explorations, but the neural processes that encode perceptual texture change remain relatively unknown. The present study examines cortical oscillatory changes during transitions between different surface textures during active touch. Methods Participants explored two differing textures whilst oscillatory brain activity and finger position data were recorded using 129-channel electroencephalography and a purpose-built touch sensor. These data streams were fused to calculate epochs relative to the time when the moving finger crossed the textural boundary on a 3D-printed sample. Changes in oscillatory band power in alpha (8-12 Hz), beta (16-24 Hz) and theta (4-7 Hz) frequency bands were investigated. Results Alpha-band power reduced over bilateral sensorimotor areas during the transition period relative to ongoing texture processing, indicating that alpha-band activity is modulated by perceptual texture change during complex ongoing tactile exploration. Further, reduced beta-band power was observed in central sensorimotor areas when participants transitioned from rough to smooth relative to transitioning from smooth to rough textures, supporting previous research that beta-band activity is mediated by high-frequency vibrotactile cues. Discussion The present findings suggest that perceptual texture change is encoded in the brain in alpha-band oscillatory activity whilst completing continuous naturalistic movements across textures.
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Affiliation(s)
- Jessica Henderson
- School of Psychology, University of Liverpool, Liverpool, United Kingdom
| | - Tyler Mari
- School of Psychology, University of Liverpool, Liverpool, United Kingdom
| | - Andrew Hopkinson
- School of Psychology, University of Liverpool, Liverpool, United Kingdom
- Hopkinson Research, Wirral, United Kingdom
| | - Danielle Hewitt
- School of Psychology, University of Liverpool, Liverpool, United Kingdom
| | - Alice Newton-Fenner
- School of Psychology, University of Liverpool, Liverpool, United Kingdom
- Institute of Risk and Uncertainty, University of Liverpool, Liverpool, United Kingdom
| | - Timo Giesbrecht
- Unilever, Research and Development, Port Sunlight, United Kingdom
| | - Alan Marshall
- Department of Electrical Engineering and Electronics, University of Liverpool, Liverpool, United Kingdom
| | - Andrej Stancak
- School of Psychology, University of Liverpool, Liverpool, United Kingdom
- Institute of Risk and Uncertainty, University of Liverpool, Liverpool, United Kingdom
| | - Nicholas Fallon
- School of Psychology, University of Liverpool, Liverpool, United Kingdom
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25
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Nandi B, Ostrand A, Johnson V, Ford TJ, Gazzaley A, Zanto TP. Musical Training Facilitates Exogenous Temporal Attention via Delta Phase Entrainment within a Sensorimotor Network. J Neurosci 2023; 43:3365-3378. [PMID: 36977585 PMCID: PMC10162458 DOI: 10.1523/jneurosci.0220-22.2023] [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: 01/27/2022] [Revised: 01/24/2023] [Accepted: 01/28/2023] [Indexed: 03/30/2023] Open
Abstract
Temporal orienting of attention plays an important role in our day-to-day lives and can use timing information from exogenous or endogenous sources. Yet, it is unclear what neural mechanisms give rise to temporal attention, and it is debated whether both exogenous and endogenous forms of temporal attention share a common neural source. Here, older adult nonmusicians (N = 47, 24 female) were randomized to undergo 8 weeks of either rhythm training, which places demands on exogenous temporal attention, or word search training as a control. The goal was to assess (1) the neural basis of exogenous temporal attention and (2) whether training-induced improvements in exogenous temporal attention can transfer to enhanced endogenous temporal attention abilities, thereby providing support for a common neural mechanism of temporal attention. Before and after training, exogenous temporal attention was assessed using a rhythmic synchronization paradigm, whereas endogenous temporal attention was evaluated via a temporally cued visual discrimination task. Results showed that rhythm training improved performance on the exogenous temporal attention task, which was associated with increased intertrial coherence within the δ (1-4 Hz) band as assessed by EEG recordings. Source localization revealed increased δ-band intertrial coherence arose from a sensorimotor network, including premotor cortex, anterior cingulate cortex, postcentral gyrus, and the inferior parietal lobule. Despite these improvements in exogenous temporal attention, such benefits were not transferred to endogenous attentional ability. These results support the notion that exogenous and endogenous temporal attention uses independent neural sources, with exogenous temporal attention relying on the precise timing of δ band oscillations within a sensorimotor network.SIGNIFICANCE STATEMENT Allocating attention to specific points in time is known as temporal attention, and may arise from external (exogenous) or internal (endogenous) sources. Despite its importance to our daily lives, it is unclear how the brain gives rise to temporal attention and whether exogenous- or endogenous-based sources for temporal attention rely on shared brain regions. Here, we demonstrate that musical rhythm training improves exogenous temporal attention, which was associated with more consistent timing of neural activity in sensory and motor processing brain regions. However, these benefits did not extend to endogenous temporal attention, indicating that temporal attention relies on different brain regions depending on the source of timing information.
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Affiliation(s)
- Bijurika Nandi
- Department of Neurology, University of California-San Francisco, San Francisco, California 94158
- Neuroscape, University of California-San Francisco, San Francisco, California 94158
| | - Avery Ostrand
- Department of Neurology, University of California-San Francisco, San Francisco, California 94158
- Neuroscape, University of California-San Francisco, San Francisco, California 94158
| | - Vinith Johnson
- Department of Neurology, University of California-San Francisco, San Francisco, California 94158
- Neuroscape, University of California-San Francisco, San Francisco, California 94158
| | - Tiffany J Ford
- Department of Neurology, University of California-San Francisco, San Francisco, California 94158
- Neuroscape, University of California-San Francisco, San Francisco, California 94158
| | - Adam Gazzaley
- Department of Neurology, University of California-San Francisco, San Francisco, California 94158
- Neuroscape, University of California-San Francisco, San Francisco, California 94158
- Departments of Physiology and Psychiatry, University of California-San Francisco, San Francisco, California 94158
| | - Theodore P Zanto
- Department of Neurology, University of California-San Francisco, San Francisco, California 94158
- Neuroscape, University of California-San Francisco, San Francisco, California 94158
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26
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De Ridder D, Friston K, Sedley W, Vanneste S. A parahippocampal-sensory Bayesian vicious circle generates pain or tinnitus: a source-localized EEG study. Brain Commun 2023; 5:fcad132. [PMID: 37223127 PMCID: PMC10202557 DOI: 10.1093/braincomms/fcad132] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2022] [Revised: 02/14/2023] [Accepted: 04/19/2023] [Indexed: 05/25/2023] Open
Abstract
Pain and tinnitus share common pathophysiological mechanisms, clinical features, and treatment approaches. A source-localized resting-state EEG study was conducted in 150 participants: 50 healthy controls, 50 pain, and 50 tinnitus patients. Resting-state activity as well as functional and effective connectivity was computed in source space. Pain and tinnitus were characterized by increased theta activity in the pregenual anterior cingulate cortex, extending to the lateral prefrontal cortex and medial anterior temporal lobe. Gamma-band activity was increased in both auditory and somatosensory cortex, irrespective of the pathology, and extended to the dorsal anterior cingulate cortex and parahippocampus. Functional and effective connectivity were largely similar in pain and tinnitus, except for a parahippocampal-sensory loop that distinguished pain from tinnitus. In tinnitus, the effective connectivity between parahippocampus and auditory cortex is bidirectional, whereas the effective connectivity between parahippocampus and somatosensory cortex is unidirectional. In pain, the parahippocampal-somatosensory cortex is bidirectional, but parahippocampal auditory cortex unidirectional. These modality-specific loops exhibited theta-gamma nesting. Applying a Bayesian brain model of brain functioning, these findings suggest that the phenomenological difference between auditory and somatosensory phantom percepts result from a vicious circle of belief updating in the context of missing sensory information. This finding may further our understanding of multisensory integration and speaks to a universal treatment for pain and tinnitus-by selectively disrupting parahippocampal-somatosensory and parahippocampal-auditory theta-gamma activity and connectivity.
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Affiliation(s)
- Dirk De Ridder
- Unit of Neurosurgery, Department of Surgical Sciences, Dunedin School of Medicine, University of Otago, Dunedin 9016, New Zealand
| | - Karl Friston
- Wellcome Trust Centre for Neuroimaging, University College London, London WC1N 3AR, UK
| | - William Sedley
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne NE1 7RU, UK
| | - Sven Vanneste
- Correspondence to: Sven Vanneste Lab for Clinical & Integrative Neuroscience Global Brain Health Institute and Institute of Neuroscience Trinity College Dublin, College Green 2, Dublin D02 PN40, Ireland E-mail:
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27
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Meng J, Li X, Zhao Y, Li R, Xu M, Ming D. Modality-Attention Promotes the Neural Effects of Precise Timing Prediction in Early Sensory Processing. Brain Sci 2023; 13:brainsci13040610. [PMID: 37190575 DOI: 10.3390/brainsci13040610] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2022] [Revised: 03/05/2023] [Accepted: 03/25/2023] [Indexed: 04/07/2023] Open
Abstract
Precise timing prediction (TP) enables the brain to accurately predict the occurrence of upcoming events in millisecond timescale, which is fundamental for adaptive behaviors. The neural effect of the TP within a single sensory modality has been widely studied. However, less is known about how precise TP works when the brain is concurrently faced with multimodality sensory inputs. Modality attention (MA) is a crucial cognitive function for dealing with the overwhelming information induced by multimodality sensory inputs. Therefore, it is necessary to investigate whether and how the MA influences the neural effects of the precise TP. This study designed a visual–auditory temporal discrimination task, in which the MA was allocated to visual or auditory modality, and the TP was manipulated into no timing prediction (NTP), matched timing prediction (MTP), and violated timing prediction (VTP) conditions. Behavioral and electroencephalogram (EEG) data were recorded from 27 subjects, event-related potentials (ERP), time–frequency distributions of inter-trial coherence (ITC), and event-related spectral perturbation (ERSP) were analyzed. In the visual modality, precise TP led to N1 amplitude variations and 200–400 ms theta ITC. Such variations only emerged when the MA was attended. In auditory modality, the MTP had the largest P2 amplitude and delta ITC than other TP conditions when the MA was attended, whereas the distinctions disappeared when the MA was unattended. The results suggest that the MA promoted the neural effects of the precise TP in early sensory processing, which provides more neural evidence for better understanding the interactions between the TP and MA.
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Affiliation(s)
- Jiayuan Meng
- Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin 300072, China
- College of Precision Instruments and Optoelectronics Engineering, Tianjin University, Tianjin 300072, China
| | - Xiaoyu Li
- Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin 300072, China
| | - Yingru Zhao
- College of Precision Instruments and Optoelectronics Engineering, Tianjin University, Tianjin 300072, China
| | - Rong Li
- College of Precision Instruments and Optoelectronics Engineering, Tianjin University, Tianjin 300072, China
| | - Minpeng Xu
- Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin 300072, China
- College of Precision Instruments and Optoelectronics Engineering, Tianjin University, Tianjin 300072, China
| | - Dong Ming
- Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin 300072, China
- College of Precision Instruments and Optoelectronics Engineering, Tianjin University, Tianjin 300072, China
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28
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Schmidt-Kassow M, White TN, Abel C, Kaiser J. Pre-stimulus beta power varies as a function of auditory-motor synchronization and temporal predictability. Front Neurosci 2023; 17:1128197. [PMID: 36992854 PMCID: PMC10042076 DOI: 10.3389/fnins.2023.1128197] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2022] [Accepted: 02/22/2023] [Indexed: 03/11/2023] Open
Abstract
IntroductionAuditory-motor interactions can support the preparation for expected sensory input. We investigated the periodic modulation of beta activity in the electroencephalogram to assess the role of active auditory-motor synchronization. Pre-stimulus beta activity (13–30 Hz) has been interpreted as a neural signature of the preparation for expected sensory input.MethodsIn the current study, participants silently counted frequency deviants in sequences of pure tones either during a physically inactive control condition or while pedaling on a cycling ergometer. Tones were presented either rhythmically (at 1 Hz) or arrhythmically with variable intervals. In addition to the pedaling conditions with rhythmic (auditory-motor synchronization, AMS) or arrhythmic stimulation, a self-generated stimulus condition was used in which tones were presented in sync with the participants’ spontaneous pedaling. This condition served to explore whether sensory predictions are driven primarily by the auditory or by the motor system.ResultsPre-stimulus beta power increased for rhythmic compared to arrhythmic stimulus presentation in both sitting and pedaling conditions but was strongest in the AMS condition. Furthermore, beta power in the AMS condition correlated with motor performance, i.e., the better participants synchronized with the rhythmic stimulus sequence, the higher was pre-stimulus beta power. Additionally, beta power was increased for the self-generated stimulus condition compared with arrhythmic pedaling, but there was no difference between the self-generated and the AMS condition.DiscussionThe current data pattern indicates that pre-stimulus beta power is not limited to neuronal entrainment (i.e., periodic stimulus presentation) but represents a more general correlate of temporal anticipation. Its association with the precision of AMS supports the role of active behavior for auditory predictions.
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Affiliation(s)
- Maren Schmidt-Kassow
- Institute of Medical Psychology, Goethe University Frankfurt, Frankfurt, Germany
- Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, University Hospital, Goethe University Frankfurt, Frankfurt, Germany
- *Correspondence: Maren Schmidt-Kassow,
| | | | - Cornelius Abel
- Max Planck Institute for Empirical Aesthetics, Frankfurt, Germany
| | - Jochen Kaiser
- Institute of Medical Psychology, Goethe University Frankfurt, Frankfurt, Germany
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29
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Fujio K, Obata H, Takeda K, Kawashima N. Cortical oscillations and interareal synchronization as a preparatory activity for postural response. Eur J Neurosci 2023; 57:1516-1528. [PMID: 36878880 DOI: 10.1111/ejn.15956] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2022] [Revised: 02/14/2023] [Accepted: 02/27/2023] [Indexed: 03/08/2023]
Abstract
Neural mechanisms of human standing are expected to be elucidated for preventing fallings. Postural response evoked by sudden external perturbation originates from various areas in the central nervous system. Recent studies have revealed that the corticospinal pathway is one of the key nodes for an appropriate postural response. The corticospinal pathway that mediates the early part of the electromyographic response is modulated with prediction before a perturbation occurs. Temporal prediction explicitly exhibiting an onset timing contributes to enhancing corticospinal excitability. However, how the cortical activities in the sensorimotor area with temporal prediction are processed before the corticospinal pathway enhancement remains unclear. In this study, using electroencephalography, we investigated how temporal prediction affects both neural oscillations and synchronization between sensorimotor and distal areas. Our results revealed that desynchronization of cortical oscillation at α- and β-bands was observed in the sensorimotor and parietooccipital areas (Cz, CPz, Pz and POz), and those are nested in the phase at θ-band frequency. Furthermore, a reduction in the interareal phase synchrony in the α-band was induced after the timing cue for the perturbation onset. The phase synchrony at the low frequency can relay the temporal prediction among the distant areas and initiate the modulation of the local cortical activities. Such modulations contribute to the preparation for sensory processing and motor execution that are necessary for optimal responses.
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Affiliation(s)
- Kimiya Fujio
- Department of Rehabilitation for Movement Functions, Research Institute of National Rehabilitation Center for Persons with Disabilities, Saitama, Japan
| | - Hiroki Obata
- Department of Humanities and Social Science Laboratory, Institute of Liberal Arts, Kyushu Institute of Technology, Fukuoka, Japan
| | - Kenta Takeda
- Department of Rehabilitation for Movement Functions, Research Institute of National Rehabilitation Center for Persons with Disabilities, Saitama, Japan
| | - Noritaka Kawashima
- Department of Rehabilitation for Movement Functions, Research Institute of National Rehabilitation Center for Persons with Disabilities, Saitama, Japan
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30
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Foldal MD, Leske S, Blenkmann AO, Endestad T, Solbakk AK. Attentional modulation of beta-power aligns with the timing of behaviorally relevant rhythmic sounds. Cereb Cortex 2023; 33:1876-1894. [PMID: 35639957 PMCID: PMC9977362 DOI: 10.1093/cercor/bhac179] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2020] [Revised: 04/05/2022] [Accepted: 04/06/2022] [Indexed: 11/12/2022] Open
Abstract
It is largely unknown how attention adapts to the timing of acoustic stimuli. To address this, we investigated how hemispheric lateralization of alpha (7-13 Hz) and beta (14-24 Hz) oscillations, reflecting voluntary allocation of auditory spatial attention, is influenced by tempo and predictability of sounds. We recorded electroencephalography while healthy adults listened to rhythmic sound streams with different tempos that were presented dichotically to separate ears, thus permitting manipulation of spatial-temporal attention. Participants responded to stimulus-onset-asynchrony (SOA) deviants (-90 ms) for given tones in the attended rhythm. Rhythm predictability was controlled via the probability of SOA deviants per block. First, the results revealed hemispheric lateralization of beta-power according to attention direction, reflected as ipsilateral enhancement and contralateral suppression, which was amplified in high- relative to low-predictability conditions. Second, fluctuations in the time-resolved beta-lateralization aligned more strongly with the attended than the unattended tempo. Finally, a trend-level association was found between the degree of beta-lateralization and improved ability to distinguish between SOA-deviants in the attended versus unattended ear. Differently from previous studies, we presented continuous rhythms in which task-relevant and irrelevant stimuli had different tempo, thereby demonstrating that temporal alignment of beta-lateralization with attended sounds reflects top-down attention to sound timing.
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Affiliation(s)
- Maja D Foldal
- Department of Psychology, University of Oslo, Forskningsveien 3A, 0373 Oslo, Norway.,RITMO Centre for Interdisciplinary Studies in Rhythm, Time and Motion, University of Oslo, Forskningsveien 3A, 0373 Oslo, Norway
| | - Sabine Leske
- RITMO Centre for Interdisciplinary Studies in Rhythm, Time and Motion, University of Oslo, Forskningsveien 3A, 0373 Oslo, Norway.,Department of Musicology, University of Oslo, Sem Sælands vei 2, 0371 Oslo, Norway
| | - Alejandro O Blenkmann
- Department of Psychology, University of Oslo, Forskningsveien 3A, 0373 Oslo, Norway.,RITMO Centre for Interdisciplinary Studies in Rhythm, Time and Motion, University of Oslo, Forskningsveien 3A, 0373 Oslo, Norway
| | - Tor Endestad
- Department of Psychology, University of Oslo, Forskningsveien 3A, 0373 Oslo, Norway.,RITMO Centre for Interdisciplinary Studies in Rhythm, Time and Motion, University of Oslo, Forskningsveien 3A, 0373 Oslo, Norway.,Department of Neuropsychology, Helgeland Hospital, Skjervengan 17, 8657 Mosjøen, Norway
| | - Anne-Kristin Solbakk
- Department of Psychology, University of Oslo, Forskningsveien 3A, 0373 Oslo, Norway.,RITMO Centre for Interdisciplinary Studies in Rhythm, Time and Motion, University of Oslo, Forskningsveien 3A, 0373 Oslo, Norway.,Department of Neuropsychology, Helgeland Hospital, Skjervengan 17, 8657 Mosjøen, Norway.,Department of Neurosurgery, Oslo University Hospital, Sognsvannsveien 20, 0372 Oslo, Norway
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31
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Chalas N, Daube C, Kluger DS, Abbasi O, Nitsch R, Gross J. Speech onsets and sustained speech contribute differentially to delta and theta speech tracking in auditory cortex. Cereb Cortex 2023; 33:6273-6281. [PMID: 36627246 DOI: 10.1093/cercor/bhac502] [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: 09/15/2022] [Revised: 11/21/2022] [Accepted: 11/22/2022] [Indexed: 01/12/2023] Open
Abstract
When we attentively listen to an individual's speech, our brain activity dynamically aligns to the incoming acoustic input at multiple timescales. Although this systematic alignment between ongoing brain activity and speech in auditory brain areas is well established, the acoustic events that drive this phase-locking are not fully understood. Here, we use magnetoencephalographic recordings of 24 human participants (12 females) while they were listening to a 1 h story. We show that whereas speech-brain coupling is associated with sustained acoustic fluctuations in the speech envelope in the theta-frequency range (4-7 Hz), speech tracking in the low-frequency delta (below 1 Hz) was strongest around onsets of speech, like the beginning of a sentence. Crucially, delta tracking in bilateral auditory areas was not sustained after onsets, proposing a delta tracking during continuous speech perception that is driven by speech onsets. We conclude that both onsets and sustained components of speech contribute differentially to speech tracking in delta- and theta-frequency bands, orchestrating sampling of continuous speech. Thus, our results suggest a temporal dissociation of acoustically driven oscillatory activity in auditory areas during speech tracking, providing valuable implications for orchestration of speech tracking at multiple time scales.
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Affiliation(s)
- Nikos Chalas
- Institute for Biomagnetism and Biosignal Analysis, University of Münster, Malmedyweg 15, 48149, Münster, Germany.,Otto-Creutzfeldt-Center for Cognitive and Behavioral Neuroscience, University of Münster, Fliednerstr. 21, 48149 Münster, Germany.,Institute for Translational Neuroscience, University of Münster, Albert-Schweitzer-Campus 1, Geb. A9a, Münster, Germany
| | - Christoph Daube
- Centre for Cognitive Neuroimaging, University of Glasgow, 56-64 Hillhead Street, G12 8QB, Glasgow, United Kingdom
| | - Daniel S Kluger
- Institute for Biomagnetism and Biosignal Analysis, University of Münster, Malmedyweg 15, 48149, Münster, Germany.,Otto-Creutzfeldt-Center for Cognitive and Behavioral Neuroscience, University of Münster, Fliednerstr. 21, 48149 Münster, Germany
| | - Omid Abbasi
- Institute for Biomagnetism and Biosignal Analysis, University of Münster, Malmedyweg 15, 48149, Münster, Germany
| | - Robert Nitsch
- Institute for Translational Neuroscience, University of Münster, Albert-Schweitzer-Campus 1, Geb. A9a, Münster, Germany
| | - Joachim Gross
- Institute for Biomagnetism and Biosignal Analysis, University of Münster, Malmedyweg 15, 48149, Münster, Germany.,Otto-Creutzfeldt-Center for Cognitive and Behavioral Neuroscience, University of Münster, Fliednerstr. 21, 48149 Münster, Germany
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32
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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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33
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Smeele SJ, Adhia DB, De Ridder D. Feasibility and Safety of High-Definition Infraslow Pink Noise Stimulation for Treating Chronic Tinnitus—A Randomized Placebo-Controlled Trial. Neuromodulation 2022:S1094-7159(22)01339-3. [DOI: 10.1016/j.neurom.2022.10.049] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2022] [Revised: 10/18/2022] [Accepted: 10/19/2022] [Indexed: 12/03/2022]
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34
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The rediscovered motor-related area 55b emerges as a core hub of music perception. Commun Biol 2022; 5:1104. [PMID: 36257973 PMCID: PMC9579133 DOI: 10.1038/s42003-022-04009-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2021] [Accepted: 09/19/2022] [Indexed: 12/03/2022] Open
Abstract
Passive listening to music, without sound production or evident movement, is long known to activate motor control regions. Nevertheless, the exact neuroanatomical correlates of the auditory-motor association and its underlying neural mechanisms have not been fully determined. Here, based on a NeuroSynth meta-analysis and three original fMRI paradigms of music perception, we show that the long-ignored pre-motor region, area 55b, an anatomically unique and functionally intriguing region, is a core hub of music perception. Moreover, results of a brain-behavior correlation analysis implicate neural entrainment as the underlying mechanism of area 55b’s contribution to music perception. In view of the current results and prior literature, area 55b is proposed as a keystone of sensorimotor integration, a fundamental brain machinery underlying simple to hierarchically complex behaviors. Refining the neuroanatomical and physiological understanding of sensorimotor integration is expected to have a major impact on various fields, from brain disorders to artificial general intelligence. Functional magnetic resonance imaging data acquired during passive listening to music suggest that pre-motor area 55b acts as a core hub of music processing in humans.
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35
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Bayraktaroğlu Z, Aktürk T, Yener G, de Graaf TA, Hanoğlu L, Yıldırım E, Hünerli Gündüz D, Kıyı İ, Sack AT, Babiloni C, Güntekin B. Abnormal Cross Frequency Coupling of Brain Electroencephalographic Oscillations Related to Visual Oddball Task in Parkinson's Disease with Mild Cognitive Impairment. Clin EEG Neurosci 2022:15500594221128713. [PMID: 36177504 DOI: 10.1177/15500594221128713] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Parkinson's disease (PD) is a movement disorder caused by degeneration in dopaminergic neurons. During the disease course, most of PD patients develop mild cognitive impairment (PDMCI) and dementia, especially affecting frontal executive functions. In this study, we tested the hypothesis that PDMCI patients may be characterized by abnormal neurophysiological oscillatory mechanisms coupling frontal and posterior cortical areas during cognitive information processing. To test this hypothesis, event-related EEG oscillations (EROs) during counting visual target (rare) stimuli in an oddball task were recorded in healthy controls (HC; N = 51), cognitively unimpaired PD patients (N = 48), and PDMCI patients (N = 53). Hilbert transform served to estimate instantaneous phase and amplitude of EROs from delta to gamma frequency bands, while modulation index computed ERO phase-amplitude coupling (PAC) at electrode pairs. As compared to the HC and PD groups, the PDMCI group was characterized by (1) more posterior topography of the delta-theta PAC and (2) reversed delta-low frequency alpha PAC direction, ie, posterior-to-anterior rather than anterior-to-posterior. These results suggest that during cognitive demands, PDMCI patients are characterized by abnormal neurophysiological oscillatory mechanisms mainly led by delta frequencies underpinning functional connectivity from frontal to parietal cortical areas.
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Affiliation(s)
- Zübeyir Bayraktaroğlu
- International School of Medicine, Department of Physiology, 218502Istanbul Medipol University, Istanbul, Turkey.,Research Institute for Health Sciences and Technologies (SABITA), functional Imaging and Cognitive Affective Neuroscience Research Laboratory (fINCAN), 218502Istanbul Medipol University, Istanbul, Turkey
| | - Tuba Aktürk
- Vocational School, Program of Electroneurophysiology, 218502Istanbul Medipol University, Istanbul, Turkey.,Research Institute for Health Sciences and Technologies (SABITA), Clinical Electrophysiology, Neuroimaging and Neuromodulation Laboratory, 218502Istanbul Medipol University, Istanbul, Turkey.,Faculty of Psychology and Neuroscience, Department of Cognitive Neuroscience, Section Brain Stimulation and Cognition, 5211Maastricht University, Maastricht, Netherlands
| | - Görsev Yener
- Dokuz Eylul University Health Campus, 605730Izmir Biomedicine and Genome Center, Izmir, Turkey.,Faculty of Medicine, 52973Izmir University of Economics, Izmir, Turkey
| | - Tom A de Graaf
- Faculty of Psychology and Neuroscience, Department of Cognitive Neuroscience, Section Brain Stimulation and Cognition, 5211Maastricht University, Maastricht, Netherlands
| | - Lütfü Hanoğlu
- Research Institute for Health Sciences and Technologies (SABITA), functional Imaging and Cognitive Affective Neuroscience Research Laboratory (fINCAN), 218502Istanbul Medipol University, Istanbul, Turkey.,Research Institute for Health Sciences and Technologies (SABITA), Clinical Electrophysiology, Neuroimaging and Neuromodulation Laboratory, 218502Istanbul Medipol University, Istanbul, Turkey.,School of Medicine, Department of Neurology, 218502Istanbul Medipol University, Istanbul, Turkey
| | - Ebru Yıldırım
- Vocational School, Program of Electroneurophysiology, 218502Istanbul Medipol University, Istanbul, Turkey.,Research Institute for Health Sciences and Technologies (SABITA), Clinical Electrophysiology, Neuroimaging and Neuromodulation Laboratory, 218502Istanbul Medipol University, Istanbul, Turkey
| | - Duygu Hünerli Gündüz
- Institute of Health Sciences, Department of Neurosciences, 37508Dokuz Eylül University, Izmir, Turkey
| | - İlayda Kıyı
- Institute of Health Sciences, Department of Neurosciences, 37508Dokuz Eylül University, Izmir, Turkey
| | - Alexander T Sack
- Faculty of Psychology and Neuroscience, Department of Cognitive Neuroscience, Section Brain Stimulation and Cognition, 5211Maastricht University, Maastricht, Netherlands
| | - Claudio Babiloni
- Department of Physiology and Pharmacology "V. Erspamer", Sapienza University of Rome, Rome, Italy.,Hospital San Raffaele of Cassino, Cassino, Italy
| | - Bahar Güntekin
- Research Institute for Health Sciences and Technologies (SABITA), Clinical Electrophysiology, Neuroimaging and Neuromodulation Laboratory, 218502Istanbul Medipol University, Istanbul, Turkey.,School of Medicine, Department of Biophysics, 218502Istanbul Medipol University, Istanbul, Turkey
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36
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Neural responses to sensory novelty with and without conscious access. Neuroimage 2022; 262:119516. [PMID: 35931308 DOI: 10.1016/j.neuroimage.2022.119516] [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: 05/19/2022] [Revised: 07/11/2022] [Accepted: 07/24/2022] [Indexed: 11/23/2022] Open
Abstract
Detection of novel stimuli that violate statistical regularities in the sensory scene is of paramount importance for the survival of biological organisms. Event-related potentials, phasic increases in pupil size, and evoked changes in oscillatory power have been proposed as markers of sensory novelty detection. However, how conscious access to novelty modulates these different brain responses is not well understood. Here, we studied the neural responses to sensory novelty in the auditory modality with and without conscious access. We identified individual thresholds for conscious auditory discrimination and presented to our participants sequences of tones, where the last stimulus could be another standard, a subthreshold target or a suprathreshold target. Participants were instructed to report whether the last tone of each sequence was the same or different from those preceding it. Results indicate that attentional orientation to behaviorally relevant stimuli and overt decision-making mechanisms, indexed by the P3 event-related response and reaction times, best predict whether a novel stimulus will be consciously accessed. Theta power and pupil size do not predict conscious access to novelty, but instead reflect information maintenance and unexpected sensory uncertainty. These results highlight the interplay between bottom-up and top-down mechanisms and how the brain weights neural responses to novelty and uncertainty during perception and goal-directed behavior.
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37
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Neymotin SA, Tal I, Barczak A, O'Connell MN, McGinnis T, Markowitz N, Espinal E, Griffith E, Anwar H, Dura-Bernal S, Schroeder CE, Lytton WW, Jones SR, Bickel S, Lakatos P. Detecting Spontaneous Neural Oscillation Events in Primate Auditory Cortex. eNeuro 2022; 9:ENEURO.0281-21.2022. [PMID: 35906065 PMCID: PMC9395248 DOI: 10.1523/eneuro.0281-21.2022] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2021] [Revised: 05/20/2022] [Accepted: 06/20/2022] [Indexed: 11/21/2022] Open
Abstract
Electrophysiological oscillations in the brain have been shown to occur as multicycle events, with onset and offset dependent on behavioral and cognitive state. To provide a baseline for state-related and task-related events, we quantified oscillation features in resting-state recordings. We developed an open-source wavelet-based tool to detect and characterize such oscillation events (OEvents) and exemplify the use of this tool in both simulations and two invasively-recorded electrophysiology datasets: one from human, and one from nonhuman primate (NHP) auditory system. After removing incidentally occurring event-related potentials (ERPs), we used OEvents to quantify oscillation features. We identified ∼2 million oscillation events, classified within traditional frequency bands: δ, θ, α, β, low γ, γ, and high γ. Oscillation events of 1-44 cycles could be identified in at least one frequency band 90% of the time in human and NHP recordings. Individual oscillation events were characterized by nonconstant frequency and amplitude. This result necessarily contrasts with prior studies which assumed frequency constancy, but is consistent with evidence from event-associated oscillations. We measured oscillation event duration, frequency span, and waveform shape. Oscillations tended to exhibit multiple cycles per event, verifiable by comparing filtered to unfiltered waveforms. In addition to the clear intraevent rhythmicity, there was also evidence of interevent rhythmicity within bands, demonstrated by finding that coefficient of variation of interval distributions and Fano factor (FF) measures differed significantly from a Poisson distribution assumption. Overall, our study provides an easy-to-use tool to study oscillation events at the single-trial level or in ongoing recordings, and demonstrates that rhythmic, multicycle oscillation events dominate auditory cortical dynamics.
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Affiliation(s)
- Samuel A Neymotin
- Center for Biomedical Imaging and Neuromodulation, Nathan Kline Institute for Psychiatric Research, Orangeburg, NY 10962
- Department Psychiatry, New York University Grossman School of Medicine, New York, NY 10016
| | - Idan Tal
- Center for Biomedical Imaging and Neuromodulation, Nathan Kline Institute for Psychiatric Research, Orangeburg, NY 10962
- Departments of Neurosurgery and Psychiatry, Columbia University College of Physicians and Surgeons, New York, NY 10032
| | - Annamaria Barczak
- Center for Biomedical Imaging and Neuromodulation, Nathan Kline Institute for Psychiatric Research, Orangeburg, NY 10962
| | - Monica N O'Connell
- Center for Biomedical Imaging and Neuromodulation, Nathan Kline Institute for Psychiatric Research, Orangeburg, NY 10962
| | - Tammy McGinnis
- Center for Biomedical Imaging and Neuromodulation, Nathan Kline Institute for Psychiatric Research, Orangeburg, NY 10962
| | - Noah Markowitz
- Department Neurology and Neurosurgery, The Feinstein Institutes for Medical Research at Northwell Health, Manhasset, NY 11030
| | - Elizabeth Espinal
- Department Neurology and Neurosurgery, The Feinstein Institutes for Medical Research at Northwell Health, Manhasset, NY 11030
| | - Erica Griffith
- Center for Biomedical Imaging and Neuromodulation, Nathan Kline Institute for Psychiatric Research, Orangeburg, NY 10962
- Department Physiology and Pharmacology, State University of New York Downstate Medical Center, Brooklyn, NY 11203
| | - Haroon Anwar
- Center for Biomedical Imaging and Neuromodulation, Nathan Kline Institute for Psychiatric Research, Orangeburg, NY 10962
| | - Salvador Dura-Bernal
- Center for Biomedical Imaging and Neuromodulation, Nathan Kline Institute for Psychiatric Research, Orangeburg, NY 10962
- Department Physiology and Pharmacology, State University of New York Downstate Medical Center, Brooklyn, NY 11203
| | - Charles E Schroeder
- Center for Biomedical Imaging and Neuromodulation, Nathan Kline Institute for Psychiatric Research, Orangeburg, NY 10962
- Departments of Neurosurgery and Psychiatry, Columbia University College of Physicians and Surgeons, New York, NY 10032
| | - William W Lytton
- Department Physiology and Pharmacology, State University of New York Downstate Medical Center, Brooklyn, NY 11203
- Department Neurology, Kings County Hospital Center, Brooklyn, NY 11203
| | - Stephanie R Jones
- Department Neuroscience and Carney Institute for Brain Science, Brown University, Providence, RI 02906
| | - Stephan Bickel
- Center for Biomedical Imaging and Neuromodulation, Nathan Kline Institute for Psychiatric Research, Orangeburg, NY 10962
- Department Neurology and Neurosurgery, The Feinstein Institutes for Medical Research at Northwell Health, Manhasset, NY 11030
| | - Peter Lakatos
- Center for Biomedical Imaging and Neuromodulation, Nathan Kline Institute for Psychiatric Research, Orangeburg, NY 10962
- Department Psychiatry, New York University Grossman School of Medicine, New York, NY 10016
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38
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Kraut ATA, Albrecht T. Neural correlates of temporal integration and segregation in metacontrast masking: A phenomenological study. Psychophysiology 2022; 59:e14085. [PMID: 35484789 DOI: 10.1111/psyp.14085] [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: 07/19/2021] [Revised: 03/04/2022] [Accepted: 03/26/2022] [Indexed: 10/18/2022]
Abstract
Temporal integration and segregation have been investigated both in the research on the temporal mechanisms in visual perception and in the research on visual masking. Although both research lines share theoretical, methodological, and empirical similarities, there is little overlap between them and their models of temporal processing are incompatible. As a first step toward the unification of both lines of research, we investigated the electrophysiological correlates of temporal integration and segregation in a metacontrast masking paradigm. Participants reported in each trial whether they perceived the target-mask sequence as a simultaneous or temporally segregated percept while their EEG was recorded. A comparison of both temporal report categories resulted in an ERP difference after stimulus presentation (200-450 ms) that closely resembles the contour integration negativity. Moreover, we found that phase states were shifted between perceptual report categories in the alpha (450-250 ms) and beta (225-125 ms) frequency band before stimulus presentation and induced a sinusoidal periodicity in later temporal report proportions. Thus, we show that neural correlates of temporal integration and segregation can be generalized to metacontrast masking. These findings emphasize the potential role of temporal mechanisms in the emergence of the masking phenomenon. Additionally, our findings validate our phenomenological approach by demonstrating similar neural correlates of temporal integration and segregation as in performance-based tasks. Future research may profit from our phenomenological approach to disentangle the (neural) interplay between temporal and masking mechanisms.
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Affiliation(s)
- Alexander T A Kraut
- Department of Experimental Psychology, Georg-Elias-Müller Institute of Psychology, Georg-August University Göttingen, Göttingen, Germany
| | - Thorsten Albrecht
- Department of Experimental Psychology, Georg-Elias-Müller Institute of Psychology, Georg-August University Göttingen, Göttingen, Germany
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39
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Flaten E, Marshall SA, Dittrich A, Trainor L. Evidence for Top-down Meter Perception in Infancy as Shown by Primed Neural Responses to an Ambiguous Rhythm. Eur J Neurosci 2022; 55:2003-2023. [PMID: 35445451 DOI: 10.1111/ejn.15671] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2021] [Revised: 03/23/2022] [Accepted: 03/24/2022] [Indexed: 11/30/2022]
Abstract
From auditory rhythm patterns, listeners extract the underlying steady beat, and perceptually group beats to form meters. While previous studies show infants discriminate different auditory meters, it remains unknown whether they can maintain (imagine) a metrical interpretation of an ambiguous rhythm through top-down processes. We investigated this via electroencephalographic mismatch responses. We primed 6-month-old infants (N = 24) to hear a 6-beat ambiguous rhythm either in duple meter (n = 13), or in triple meter (n = 11) through loudness accents either on every second or every third beat. Periods of priming were inserted before sequences of the ambiguous unaccented rhythm. To elicit mismatch responses, occasional pitch deviants occurred on either beat 4 (strong beat in triple meter; weak in duple) or beat 5 (strong in duple; weak in triple) of the unaccented trials. At frontal left sites, we found a significant interaction between beat and priming group in the predicted direction. Post-hoc analyses showed mismatch response amplitudes were significantly larger for beat 5 in the duple- than triple-primed group (p = .047) and were non-significantly larger for beat 4 in the triple- than duple-primed group. Further, amplitudes were generally larger in infants with musically experienced parents. At frontal right sites, mismatch responses were generally larger for those in the duple compared to triple group, which may reflect a processing advantage for duple meter. These results indicate infants can impose a top-down, internally generated meter on ambiguous auditory rhythms, an ability that would aid early language and music learning.
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Affiliation(s)
- Erica Flaten
- Department of Psychology, Neuroscience and Behaviour, McMaster University
| | - Sara A Marshall
- Department of Psychology, Neuroscience and Behaviour, McMaster University
| | - Angela Dittrich
- Department of Psychology, Neuroscience and Behaviour, McMaster University
| | - Laurel Trainor
- Department of Psychology, Neuroscience and Behaviour, McMaster University.,McMaster Institute for Music and the Mind, McMaster University.,Rotman Research Institute, Baycrest Hospital, Toronto, ON, Canada
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40
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Kliger Amrani A, Zion Golumbic E. Memory-Paced Tapping to Auditory Rhythms: Effects of Rate, Speech, and Motor Engagement. JOURNAL OF SPEECH, LANGUAGE, AND HEARING RESEARCH : JSLHR 2022; 65:923-939. [PMID: 35133867 DOI: 10.1044/2021_jslhr-21-00406] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
PURPOSE Humans have a near-automatic tendency to entrain their motor actions to rhythms in the environment. Entrainment has been hypothesized to play an important role in processing naturalistic stimuli, such as speech and music, which have intrinsically rhythmic properties. Here, we studied two facets of entraining one's rhythmic motor actions to an external stimulus: (a) synchronized finger tapping to auditory rhythmic stimuli and (b) memory-paced reproduction of a previously heard rhythm. METHOD Using modifications of the Synchronization-Continuation tapping paradigm, we studied how these two rhythmic behaviors were affected by different stimulus and task features. We tested synchronization and memory-paced tapping for a broad range of rates, from stimulus onset asynchrony of subsecond to suprasecond, both for strictly isochronous tone sequences and for rhythmic speech stimuli (counting from 1 to 10), which are more ecological yet less isochronous. We also asked what role motor engagement plays in forming a stable internal representation for rhythms and guiding memory-paced tapping. RESULTS AND CONCLUSIONS Our results show that individuals can flexibly synchronize their motor actions to a very broad range of rhythms. However, this flexibility does not extend to memory-paced tapping, which is accurate only in a narrower range of rates, around ~1.5 Hz. This pattern suggests that intrinsic rhythmic defaults in the auditory and/or motor system influence the internal representation of rhythms, in the absence of an external pacemaker. Interestingly, memory-paced tapping for speech rhythms and simple tone sequences shared similar "optimal rates," although with reduced accuracy, suggesting that internal constraints on rhythmic entrainment generalize to more ecological stimuli. Last, we found that actively synchronizing to tones versus passively listening to them led to more accurate memory-paced tapping performance, which emphasizes the importance of action-perception interactions in forming stable entrainment to external rhythms.
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Affiliation(s)
- Anat Kliger Amrani
- The Leslie and Susan Gonda Multidisciplinary Brain Research Center, Bar-Ilan University, Ramat Gan, Israel
| | - Elana Zion Golumbic
- The Leslie and Susan Gonda Multidisciplinary Brain Research Center, Bar-Ilan University, Ramat Gan, Israel
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41
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Corcoran AW, Perera R, Koroma M, Kouider S, Hohwy J, Andrillon T. Expectations boost the reconstruction of auditory features from electrophysiological responses to noisy speech. Cereb Cortex 2022; 33:691-708. [PMID: 35253871 PMCID: PMC9890472 DOI: 10.1093/cercor/bhac094] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2021] [Revised: 02/11/2022] [Accepted: 02/12/2022] [Indexed: 02/04/2023] Open
Abstract
Online speech processing imposes significant computational demands on the listening brain, the underlying mechanisms of which remain poorly understood. Here, we exploit the perceptual "pop-out" phenomenon (i.e. the dramatic improvement of speech intelligibility after receiving information about speech content) to investigate the neurophysiological effects of prior expectations on degraded speech comprehension. We recorded electroencephalography (EEG) and pupillometry from 21 adults while they rated the clarity of noise-vocoded and sine-wave synthesized sentences. Pop-out was reliably elicited following visual presentation of the corresponding written sentence, but not following incongruent or neutral text. Pop-out was associated with improved reconstruction of the acoustic stimulus envelope from low-frequency EEG activity, implying that improvements in perceptual clarity were mediated via top-down signals that enhanced the quality of cortical speech representations. Spectral analysis further revealed that pop-out was accompanied by a reduction in theta-band power, consistent with predictive coding accounts of acoustic filling-in and incremental sentence processing. Moreover, delta-band power, alpha-band power, and pupil diameter were all increased following the provision of any written sentence information, irrespective of content. Together, these findings reveal distinctive profiles of neurophysiological activity that differentiate the content-specific processes associated with degraded speech comprehension from the context-specific processes invoked under adverse listening conditions.
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Affiliation(s)
- Andrew W Corcoran
- Corresponding author: Room E672, 20 Chancellors Walk, Clayton, VIC 3800, Australia.
| | - Ricardo Perera
- Cognition & Philosophy Laboratory, School of Philosophical, Historical, and International Studies, Monash University, Melbourne, VIC 3800 Australia
| | - Matthieu Koroma
- Brain and Consciousness Group (ENS, EHESS, CNRS), Département d’Études Cognitives, École Normale Supérieure-PSL Research University, Paris 75005, France
| | - Sid Kouider
- Brain and Consciousness Group (ENS, EHESS, CNRS), Département d’Études Cognitives, École Normale Supérieure-PSL Research University, Paris 75005, France
| | - Jakob Hohwy
- Cognition & Philosophy Laboratory, School of Philosophical, Historical, and International Studies, Monash University, Melbourne, VIC 3800 Australia,Monash Centre for Consciousness & Contemplative Studies, Monash University, Melbourne, VIC 3800 Australia
| | - Thomas Andrillon
- Monash Centre for Consciousness & Contemplative Studies, Monash University, Melbourne, VIC 3800 Australia,Paris Brain Institute, Sorbonne Université, Inserm-CNRS, Paris 75013, France
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42
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Ibarra-Lecue I, Haegens S, Harris AZ. Breaking Down a Rhythm: Dissecting the Mechanisms Underlying Task-Related Neural Oscillations. Front Neural Circuits 2022; 16:846905. [PMID: 35310550 PMCID: PMC8931663 DOI: 10.3389/fncir.2022.846905] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2021] [Accepted: 02/10/2022] [Indexed: 11/13/2022] Open
Abstract
A century worth of research has linked multiple cognitive, perceptual and behavioral states to various brain oscillations. However, the mechanistic roles and circuit underpinnings of these oscillations remain an area of active study. In this review, we argue that the advent of optogenetic and related systems neuroscience techniques has shifted the field from correlational to causal observations regarding the role of oscillations in brain function. As a result, studying brain rhythms associated with behavior can provide insight at different levels, such as decoding task-relevant information, mapping relevant circuits or determining key proteins involved in rhythmicity. We summarize recent advances in this field, highlighting the methods that are being used for this purpose, and discussing their relative strengths and limitations. We conclude with promising future approaches that will help unravel the functional role of brain rhythms in orchestrating the repertoire of complex behavior.
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Affiliation(s)
- Inés Ibarra-Lecue
- Department of Psychiatry, College of Physicians and Surgeons, Columbia University, New York, NY, United States
- New York State Psychiatric Institute, New York, NY, United States
| | - Saskia Haegens
- Department of Psychiatry, College of Physicians and Surgeons, Columbia University, New York, NY, United States
- New York State Psychiatric Institute, New York, NY, United States
- Donders Centre for Cognitive Neuroimaging, Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, Netherlands
| | - Alexander Z. Harris
- Department of Psychiatry, College of Physicians and Surgeons, Columbia University, New York, NY, United States
- New York State Psychiatric Institute, New York, NY, United States
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43
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Herbst SK, Stefanics G, Obleser J. Endogenous modulation of delta phase by expectation–A replication of Stefanics et al., 2010. Cortex 2022; 149:226-245. [DOI: 10.1016/j.cortex.2022.02.001] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2021] [Revised: 01/31/2022] [Accepted: 02/01/2022] [Indexed: 11/03/2022]
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44
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Henrich K, Scharinger M. Predictive Processing in Poetic Language: Event-Related Potentials Data on Rhythmic Omissions in Metered Speech. Front Psychol 2022; 12:782765. [PMID: 35069363 PMCID: PMC8769205 DOI: 10.3389/fpsyg.2021.782765] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2021] [Accepted: 11/29/2021] [Indexed: 11/13/2022] Open
Abstract
Predictions during language comprehension are currently discussed from many points of view. One area where predictive processing may play a particular role concerns poetic language that is regularized by meter and rhyme, thus allowing strong predictions regarding the timing and stress of individual syllables. While there is growing evidence that these prosodic regularities influence language processing, less is known about the potential influence of prosodic preferences (binary, strong-weak patterns) on neurophysiological processes. To this end, the present electroencephalogram (EEG) study examined whether the predictability of strong and weak syllables within metered speech would differ as a function of meter (trochee vs. iamb). Strong, i.e., accented positions within a foot should be more predictable than weak, i.e., unaccented positions. Our focus was on disyllabic pseudowords that solely differed between trochaic and iambic structure, with trochees providing the preferred foot in German. Methodologically, we focused on the omission Mismatch Negativity (oMMN) that is elicited when an anticipated auditory stimulus is omitted. The resulting electrophysiological brain response is particularly interesting because its elicitation does not depend on a physical stimulus. Omissions in deviant position of a passive oddball paradigm occurred at either first- or second-syllable position of the aforementioned pseudowords, resulting in a 2-by-2 design with the factors foot type and omission position. Analyses focused on the mean oMMN amplitude and latency differences across the four conditions. The result pattern was characterized by an interaction of the effects of foot type and omission position for both amplitudes and latencies. In first position, omissions resulted in larger and earlier oMMNs for trochees than for iambs. In second position, omissions resulted in larger oMMNs for iambs than for trochees, but the oMMN latency did not differ. The results suggest that omissions, particularly in initial position, are modulated by a trochaic preference in German. The preferred strong-weak pattern may have strengthened the prosodic prediction, especially for matching, trochaic stimuli, such that the violation of this prediction led to an earlier and stronger prediction error. Altogether, predictive processing seems to play a particular role in metered speech, especially if the meter is based on the preferred foot type.
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Affiliation(s)
- Karen Henrich
- Department of Language and Literature, Max Planck Institute for Empirical Aesthetics, Frankfurt, Germany
| | - Mathias Scharinger
- Department of Language and Literature, Max Planck Institute for Empirical Aesthetics, Frankfurt, Germany
- Research Group Phonetics, Philipps-University of Marburg, Marburg, Germany
- Center for Mind, Brain, and Behavior, Universities of Marburg and Giessen, Marburg, Germany
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45
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Bouhassoun S, Gerlach C, Borst G, Poirel N. Framing the area: An efficient approach for avoiding visual interference and optimising visual search in adolescents. Q J Exp Psychol (Hove) 2021; 75:2012-2022. [PMID: 34812112 DOI: 10.1177/17470218211065011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Attentional resources are limited, and resistance to interference plays a critical role during cognitive tasks and learning. Previous studies have shown that participants find it difficult to avoid being distracted by global visual information when processing local details. In this study, we investigated an innovative approach for enhancing the processing of local visual details by middle-school adolescents. Two groups completed a classic global/local visual search task in which a predefined target could appear at the global or local level, either with or without a frame. The results from the no-frame display group provided a direct replication in adolescents of previous findings in adults, with increasing number of interferent stimuli presented in the display adversely affecting detection of local targets. In addition, by varying the numbers of distractors inside and outside the frame, we showed that distractors only interfered with the processing of local information inside the frame, while the deleterious impact of increases in distracting information was prevented when the distractors were outside the frame. These findings suggest that when a frame delimits an attentional area, the influence of an increasing number of distractors present outside the frame is eliminated. We assume that application of a frame allows for efficient delimitation of attention deployment to a restricted topographical visual area in adolescents. These results evidence that processing of local details can be improved without modifying the structure of the stimuli, and provide promising clues for optimising attentional resources during time-absorbing visual searches. Applicable implications in the educational field are discussed.
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Affiliation(s)
- Sabrina Bouhassoun
- Université de Paris, LaPsyDÉ, CNRS, Paris, France.,GIP Cyceron, Caen, France
| | - Christian Gerlach
- Department of Psychology, University of Southern Denmark, Odense, Denmark
| | - Grégoire Borst
- Université de Paris, LaPsyDÉ, CNRS, Paris, France.,GIP Cyceron, Caen, France.,Institut Universitaire de France (IUF), Paris, France
| | - Nicolas Poirel
- Université de Paris, LaPsyDÉ, CNRS, Paris, France.,GIP Cyceron, Caen, France.,Institut Universitaire de France (IUF), Paris, France
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46
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Kern P, Assaneo MF, Endres D, Poeppel D, Rimmele JM. Preferred auditory temporal processing regimes and auditory-motor synchronization. Psychon Bull Rev 2021; 28:1860-1873. [PMID: 34100222 PMCID: PMC8642338 DOI: 10.3758/s13423-021-01933-w] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/07/2021] [Indexed: 11/08/2022]
Abstract
Decoding the rich temporal dynamics of complex sounds such as speech is constrained by the underlying neuronal-processing mechanisms. Oscillatory theories suggest the existence of one optimal perceptual performance regime at auditory stimulation rates in the delta to theta range (< 10 Hz), but reduced performance in the alpha range (10-14 Hz) is controversial. Additionally, the widely discussed motor system contribution to timing remains unclear. We measured rate discrimination thresholds between 4 and 15 Hz, and auditory-motor coupling strength was estimated through a behavioral auditory-motor synchronization task. In a Bayesian model comparison, high auditory-motor synchronizers showed a larger range of constant optimal temporal judgments than low synchronizers, with performance decreasing in the alpha range. This evidence for optimal processing in the theta range is consistent with preferred oscillatory regimes in auditory cortex that compartmentalize stimulus encoding and processing. The findings suggest, remarkably, that increased auditory-motor synchronization might extend such an optimal range towards faster rates.
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Affiliation(s)
- Pius Kern
- Department of Neuroscience, Max-Planck-Institute for Empirical Aesthetics, Grüneburgweg 14, 60322, Frankfurt/M, Germany
| | - M Florencia Assaneo
- Instituto de Neurobiologia, Universidad Nacional Autónoma de México Juriquilla, Campus UNAM 3001, 76230, Juriquilla, Qro., Mexico
| | - Dominik Endres
- Department of Psychology, Philipps University Marburg, Gutenbergstraße 18, 35032, Marburg, Germany
| | - David Poeppel
- Department of Neuroscience, Max-Planck-Institute for Empirical Aesthetics, Grüneburgweg 14, 60322, Frankfurt/M, Germany
- Department of Psychology, New York University, 6 Washington Place, New York, NY, 10003, USA
- Max Planck NYU Center for Language, Music, and Emotion, Frankfurt/M, Germany, NY, USA
| | - Johanna M Rimmele
- Department of Neuroscience, Max-Planck-Institute for Empirical Aesthetics, Grüneburgweg 14, 60322, Frankfurt/M, Germany.
- Max Planck NYU Center for Language, Music, and Emotion, Frankfurt/M, Germany, NY, USA.
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47
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Attaheri A, Choisdealbha ÁN, Di Liberto GM, Rocha S, Brusini P, Mead N, Olawole-Scott H, Boutris P, Gibbon S, Williams I, Grey C, Flanagan S, Goswami U. Delta- and theta-band cortical tracking and phase-amplitude coupling to sung speech by infants. Neuroimage 2021; 247:118698. [PMID: 34798233 DOI: 10.1016/j.neuroimage.2021.118698] [Citation(s) in RCA: 43] [Impact Index Per Article: 14.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2021] [Revised: 10/15/2021] [Accepted: 10/30/2021] [Indexed: 01/13/2023] Open
Abstract
The amplitude envelope of speech carries crucial low-frequency acoustic information that assists linguistic decoding at multiple time scales. Neurophysiological signals are known to track the amplitude envelope of adult-directed speech (ADS), particularly in the theta-band. Acoustic analysis of infant-directed speech (IDS) has revealed significantly greater modulation energy than ADS in an amplitude-modulation (AM) band centred on ∼2 Hz. Accordingly, cortical tracking of IDS by delta-band neural signals may be key to language acquisition. Speech also contains acoustic information within its higher-frequency bands (beta, gamma). Adult EEG and MEG studies reveal an oscillatory hierarchy, whereby low-frequency (delta, theta) neural phase dynamics temporally organize the amplitude of high-frequency signals (phase amplitude coupling, PAC). Whilst consensus is growing around the role of PAC in the matured adult brain, its role in the development of speech processing is unexplored. Here, we examined the presence and maturation of low-frequency (<12 Hz) cortical speech tracking in infants by recording EEG longitudinally from 60 participants when aged 4-, 7- and 11- months as they listened to nursery rhymes. After establishing stimulus-related neural signals in delta and theta, cortical tracking at each age was assessed in the delta, theta and alpha [control] bands using a multivariate temporal response function (mTRF) method. Delta-beta, delta-gamma, theta-beta and theta-gamma phase-amplitude coupling (PAC) was also assessed. Significant delta and theta but not alpha tracking was found. Significant PAC was present at all ages, with both delta and theta -driven coupling observed.
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Affiliation(s)
- Adam Attaheri
- Department of Psychology, Centre for Neuroscience in Education, University of Cambridge, Downing Street, Cambridge CB2 3 EB, United Kingdom.
| | - Áine Ní Choisdealbha
- Department of Psychology, Centre for Neuroscience in Education, University of Cambridge, Downing Street, Cambridge CB2 3 EB, United Kingdom.
| | - Giovanni M Di Liberto
- Laboratoire des Systèmes Perceptifs, UMR 8248, CNRS, France; Ecole Normale Supérieure, PSL University, France; Department of Mechanical, Trinity Centre for Biomedical Engineering and Trinity Institute of Neuroscience, Manufacturing and Biomedical Engineering, Trinity College, The University of Dublin, Ireland; School of Electrical and Electronic Engineering and UCD Centre for Biomedical Engineering, University College Dublin, Ireland.
| | - Sinead Rocha
- Department of Psychology, Centre for Neuroscience in Education, University of Cambridge, Downing Street, Cambridge CB2 3 EB, United Kingdom.
| | - Perrine Brusini
- Department of Psychology, Centre for Neuroscience in Education, University of Cambridge, Downing Street, Cambridge CB2 3 EB, United Kingdom; Institute of Population Health, Waterhouse Building, Block B, Brownlow Street, Liverpool L69 3GF, United Kingdom.
| | - Natasha Mead
- Department of Psychology, Centre for Neuroscience in Education, University of Cambridge, Downing Street, Cambridge CB2 3 EB, United Kingdom.
| | - Helen Olawole-Scott
- Department of Psychology, Centre for Neuroscience in Education, University of Cambridge, Downing Street, Cambridge CB2 3 EB, United Kingdom.
| | - Panagiotis Boutris
- Department of Psychology, Centre for Neuroscience in Education, University of Cambridge, Downing Street, Cambridge CB2 3 EB, United Kingdom.
| | - Samuel Gibbon
- Department of Psychology, Centre for Neuroscience in Education, University of Cambridge, Downing Street, Cambridge CB2 3 EB, United Kingdom.
| | - Isabel Williams
- Department of Psychology, Centre for Neuroscience in Education, University of Cambridge, Downing Street, Cambridge CB2 3 EB, United Kingdom.
| | - Christina Grey
- Department of Psychology, Centre for Neuroscience in Education, University of Cambridge, Downing Street, Cambridge CB2 3 EB, United Kingdom.
| | - Sheila Flanagan
- Department of Psychology, Centre for Neuroscience in Education, University of Cambridge, Downing Street, Cambridge CB2 3 EB, United Kingdom.
| | - Usha Goswami
- Department of Psychology, Centre for Neuroscience in Education, University of Cambridge, Downing Street, Cambridge CB2 3 EB, United Kingdom.
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48
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Broadband Dynamics Rather than Frequency-Specific Rhythms Underlie Prediction Error in the Primate Auditory Cortex. J Neurosci 2021; 41:9374-9391. [PMID: 34645605 DOI: 10.1523/jneurosci.0367-21.2021] [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: 02/17/2021] [Revised: 09/15/2021] [Accepted: 09/20/2021] [Indexed: 11/21/2022] Open
Abstract
Detection of statistical irregularities, measured as a prediction error response, is fundamental to the perceptual monitoring of the environment. We studied whether prediction error response is associated with neural oscillations or asynchronous broadband activity. Electrocorticography was conducted in three male monkeys, who passively listened to the auditory roving oddball stimuli. Local field potentials (LFPs) recorded over the auditory cortex underwent spectral principal component analysis, which decoupled broadband and rhythmic components of the LFP signal. We found that the broadband component captured the prediction error response, whereas none of the rhythmic components were associated with statistical irregularities of sounds. The broadband component displayed more stochastic, asymmetrical multifractal properties than the rhythmic components, which revealed more self-similar dynamics. We thus conclude that the prediction error response is captured by neuronal populations generating asynchronous broadband activity, defined by irregular dynamic states, which, unlike oscillatory rhythms, appear to enable the neural representation of auditory prediction error response.SIGNIFICANCE STATEMENT This study aimed to examine the contribution of oscillatory and asynchronous components of auditory local field potentials in the generation of prediction error responses to sensory irregularities, as this has not been directly addressed in the previous studies. Here, we show that mismatch negativity-an auditory prediction error response-is driven by the asynchronous broadband component of potentials recorded in the auditory cortex. This finding highlights the importance of nonoscillatory neural processes in the predictive monitoring of the environment. At a more general level, the study demonstrates that stochastic neural processes, which are often disregarded as neural noise, do have a functional role in the processing of sensory information.
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49
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Abstract
The present study investigates effects of conventionally metered and rhymed poetry on eyemovements
in silent reading. Readers saw MRRL poems (i.e., metrically regular, rhymed
language) in two layouts. In poem layout, verse endings coincided with line breaks. In prose
layout verse endings could be mid-line. We also added metrical and rhyme anomalies. We
hypothesized that silently reading MRRL results in building up auditive expectations that
are based on a rhythmic “audible gestalt” and propose that rhythmicity is generated through
subvocalization. Our results revealed that readers were sensitive to rhythmic-gestalt-anomalies
but showed differential effects in poem and prose layouts. Metrical anomalies in particular
resulted in robust reading disruptions across a variety of eye-movement measures in
the poem layout and caused re-reading of the local context. Rhyme anomalies elicited
stronger effects in prose layout and resulted in systematic re-reading of pre-rhymes. The
presence or absence of rhythmic-gestalt-anomalies, as well as the layout manipulation, also
affected reading in general. Effects of syllable number indicated a high degree of subvocalization.
The overall pattern of results suggests that eye-movements reflect, and are closely
aligned with, the rhythmic subvocalization of MRRL. This study introduces a two-stage approach to the analysis of long MRRL stimuli and contributes
to the discussion of how the processing of rhythm in music and speech may overlap.
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Affiliation(s)
- Judith Beck
- Cognitive Science, University of Freiburg,, Germany
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50
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Magnusson JL, Leventhal DK. Revisiting the "Paradox of Stereotaxic Surgery": Insights Into Basal Ganglia-Thalamic Interactions. Front Syst Neurosci 2021; 15:725876. [PMID: 34512279 PMCID: PMC8429495 DOI: 10.3389/fnsys.2021.725876] [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: 06/15/2021] [Accepted: 08/06/2021] [Indexed: 11/13/2022] Open
Abstract
Basal ganglia dysfunction is implicated in movement disorders including Parkinson Disease, dystonia, and choreiform disorders. Contradicting standard "rate models" of basal ganglia-thalamic interactions, internal pallidotomy improves both hypo- and hyper-kinetic movement disorders. This "paradox of stereotaxic surgery" was recognized shortly after rate models were developed, and is underscored by the outcomes of deep brain stimulation (DBS) for movement disorders. Despite strong evidence that DBS activates local axons, the clinical effects of lesions and DBS are nearly identical. These observations argue against standard models in which GABAergic basal ganglia output gates thalamic activity, and raise the question of how lesions and stimulation can have similar effects. These paradoxes may be resolved by considering thalamocortical loops as primary drivers of motor output. Rather than suppressing or releasing cortex via motor thalamus, the basal ganglia may modulate the timing of thalamic perturbations to cortical activity. Motor cortex exhibits rotational dynamics during movement, allowing the same thalamocortical perturbation to affect motor output differently depending on its timing with respect to the rotational cycle. We review classic and recent studies of basal ganglia, thalamic, and cortical physiology to propose a revised model of basal ganglia-thalamocortical function with implications for basic physiology and neuromodulation.
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Affiliation(s)
| | - Daniel K Leventhal
- Department of Neurology, University of Michigan, Ann Arbor, MI, United States.,Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI, United States.,Parkinson Disease Foundation Research Center of Excellence, University of Michigan, Ann Arbor, MI, United States.,Department of Neurology, VA Ann Arbor Health System, Ann Arbor, MI, United States
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