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Otero M, Lea-Carnall C, Prado P, Escobar MJ, El-Deredy W. Modelling neural entrainment and its persistence: influence of frequency of stimulation and phase at the stimulus offset. Biomed Phys Eng Express 2022; 8. [PMID: 35320793 DOI: 10.1088/2057-1976/ac605a] [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: 11/02/2021] [Accepted: 03/23/2022] [Indexed: 11/12/2022]
Abstract
Neural entrainment, the synchronization of brain oscillations to the frequency of an external stimuli, is a key mechanism that shapes perceptual and cognitive processes.Objective.Using simulations, we investigated the dynamics of neural entrainment, particularly the period following the end of the stimulation, since the persistence (reverberation) of neural entrainment may condition future sensory representations based on predictions about stimulus rhythmicity.Methods.Neural entrainment was assessed using a modified Jansen-Rit neural mass model (NMM) of coupled cortical columns, in which the spectral features of the output resembled that of the electroencephalogram (EEG). We evaluated spectro-temporal features of entrainment as a function of the stimulation frequency, the resonant frequency of the neural populations comprising the NMM, and the coupling strength between cortical columns. Furthermore, we tested if the entrainment persistence depended on the phase of the EEG-like oscillation at the time the stimulus ended.Main Results.The entrainment of the column that received the stimulation was maximum when the frequency of the entrainer was within a narrow range around the resonant frequency of the column. When this occurred, entrainment persisted for several cycles after the stimulus terminated, and the propagation of the entrainment to other columns was facilitated. Propagation also depended on the resonant frequency of the second column, and the coupling strength between columns. The duration of the persistence of the entrainment depended on the phase of the neural oscillation at the time the entrainer terminated, such that falling phases (fromπ/2 to 3π/2 in a sine function) led to longer persistence than rising phases (from 0 toπ/2 and 3π/2 to 2π).Significance.The study bridges between models of neural oscillations and empirical electrophysiology, providing insights to the mechanisms underlying neural entrainment and the use of rhythmic sensory stimulation for neuroenhancement.
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Affiliation(s)
- Mónica Otero
- Escuela de Ingeniería Biomédica, Universidad de Valparaíso, Chile.,Advanced Center for Electric and Electronic Engineering, Valparaíso, Chile
| | - Caroline Lea-Carnall
- Division of Neuroscience and Experimental Psychology, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester, United Kingdom
| | - Pavel Prado
- Latin-American Brain Health Institute (BrainLat), Universidad Adolfo Ibañez, Chile
| | | | - Wael El-Deredy
- Escuela de Ingeniería Biomédica, Universidad de Valparaíso, Chile.,Advanced Center for Electric and Electronic Engineering, Valparaíso, Chile.,Division of Neuroscience and Experimental Psychology, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester, United Kingdom
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Geng S, Molinaro N, Timofeeva P, Quiñones I, Carreiras M, Amoruso L. Oscillatory dynamics underlying noun and verb production in highly proficient bilinguals. Sci Rep 2022; 12:764. [PMID: 35031665 PMCID: PMC8760282 DOI: 10.1038/s41598-021-04737-z] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2021] [Accepted: 12/30/2021] [Indexed: 11/09/2022] Open
Abstract
Words representing objects (nouns) and words representing actions (verbs) are essential components of speech across languages. While there is evidence regarding the organizational principles governing neural representation of nouns and verbs in monolingual speakers, little is known about how this knowledge is represented in the bilingual brain. To address this gap, we recorded neuromagnetic signals while highly proficient Spanish-Basque bilinguals performed a picture-naming task and tracked the brain oscillatory dynamics underlying this process. We found theta (4-8 Hz) power increases and alpha-beta (8-25 Hz) power decreases irrespectively of the category and language at use in a time window classically associated to the controlled retrieval of lexico-semantic information. When comparing nouns and verbs within each language, we found theta power increases for verbs as compared to nouns in bilateral visual cortices and cognitive control areas including the left SMA and right middle temporal gyrus. In addition, stronger alpha-beta power decreases were observed for nouns as compared to verbs in visual cortices and semantic-related regions such as the left anterior temporal lobe and right premotor cortex. No differences were observed between categories across languages. Overall, our results suggest that noun and verb processing recruit partially different networks during speech production but that these category-based representations are similarly processed in the bilingual brain.
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Affiliation(s)
- Shuang Geng
- grid.423986.20000 0004 0536 1366Basque Center on Cognition, Brain and Language (BCBL), 20009 San Sebastian, Spain ,grid.11480.3c0000000121671098University of the Basque Country, UPV/EHU, 48940 Bilbao, Spain
| | - Nicola Molinaro
- grid.423986.20000 0004 0536 1366Basque Center on Cognition, Brain and Language (BCBL), 20009 San Sebastian, Spain ,grid.424810.b0000 0004 0467 2314IKERBASQUE, Basque Foundation for Science, 48009 Bilbao, Spain
| | - Polina Timofeeva
- grid.423986.20000 0004 0536 1366Basque Center on Cognition, Brain and Language (BCBL), 20009 San Sebastian, Spain ,grid.11480.3c0000000121671098University of the Basque Country, UPV/EHU, 48940 Bilbao, Spain
| | - Ileana Quiñones
- grid.423986.20000 0004 0536 1366Basque Center on Cognition, Brain and Language (BCBL), 20009 San Sebastian, Spain
| | - Manuel Carreiras
- grid.423986.20000 0004 0536 1366Basque Center on Cognition, Brain and Language (BCBL), 20009 San Sebastian, Spain ,grid.424810.b0000 0004 0467 2314IKERBASQUE, Basque Foundation for Science, 48009 Bilbao, Spain ,grid.11480.3c0000000121671098University of the Basque Country, UPV/EHU, 48940 Bilbao, Spain
| | - Lucia Amoruso
- Basque Center on Cognition, Brain and Language (BCBL), 20009, San Sebastian, Spain. .,IKERBASQUE, Basque Foundation for Science, 48009, Bilbao, Spain.
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Klimovich-Gray A, Barrena A, Agirre E, Molinaro N. One Way or Another: Cortical Language Areas Flexibly Adapt Processing Strategies to Perceptual And Contextual Properties of Speech. Cereb Cortex 2021; 31:4092-4103. [PMID: 33825884 DOI: 10.1093/cercor/bhab071] [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: 07/31/2020] [Revised: 02/24/2021] [Accepted: 02/25/2021] [Indexed: 11/13/2022] Open
Abstract
Cortical circuits rely on the temporal regularities of speech to optimize signal parsing for sound-to-meaning mapping. Bottom-up speech analysis is accelerated by top-down predictions about upcoming words. In everyday communications, however, listeners are regularly presented with challenging input-fluctuations of speech rate or semantic content. In this study, we asked how reducing speech temporal regularity affects its processing-parsing, phonological analysis, and ability to generate context-based predictions. To ensure that spoken sentences were natural and approximated semantic constraints of spontaneous speech we built a neural network to select stimuli from large corpora. We analyzed brain activity recorded with magnetoencephalography during sentence listening using evoked responses, speech-to-brain synchronization and representational similarity analysis. For normal speech theta band (6.5-8 Hz) speech-to-brain synchronization was increased and the left fronto-temporal areas generated stronger contextual predictions. The reverse was true for temporally irregular speech-weaker theta synchronization and reduced top-down effects. Interestingly, delta-band (0.5 Hz) speech tracking was greater when contextual/semantic predictions were lower or if speech was temporally jittered. We conclude that speech temporal regularity is relevant for (theta) syllabic tracking and robust semantic predictions while the joint support of temporal and contextual predictability reduces word and phrase-level cortical tracking (delta).
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Affiliation(s)
| | - Ander Barrena
- Computer Science Faculty, University of the Basque Country, Donostia, 20018, San Sebastian, Spain
| | - Eneko Agirre
- Computer Science Faculty, University of the Basque Country, Donostia, 20018, San Sebastian, Spain
| | - Nicola Molinaro
- BCBL, Basque Center on Cognition, Brain and Language, Donostia, 20009, San Sebastian, Spain.,Ikerbasque, Basque Foundation for Science, 48009, Bilbao, Spain
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Kocagoncu E, Klimovich-Gray A, Hughes LE, Rowe JB. Evidence and implications of abnormal predictive coding in dementia. Brain 2021; 144:3311-3321. [PMID: 34240109 PMCID: PMC8677549 DOI: 10.1093/brain/awab254] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2020] [Revised: 03/15/2021] [Accepted: 06/17/2021] [Indexed: 11/14/2022] Open
Abstract
The diversity of cognitive deficits and neuropathological processes associated with dementias has encouraged divergence in pathophysiological explanations of disease. Here, we review an alternative framework that emphasizes convergent critical features of cognitive pathophysiology. Rather than the loss of ‘memory centres’ or ‘language centres’, or singular neurotransmitter systems, cognitive deficits are interpreted in terms of aberrant predictive coding in hierarchical neural networks. This builds on advances in normative accounts of brain function, specifically the Bayesian integration of beliefs and sensory evidence in which hierarchical predictions and prediction errors underlie memory, perception, speech and behaviour. We describe how analogous impairments in predictive coding in parallel neurocognitive systems can generate diverse clinical phenomena, including the characteristics of dementias. The review presents evidence from behavioural and neurophysiological studies of perception, language, memory and decision-making. The reformulation of cognitive deficits in terms of predictive coding has several advantages. It brings diverse clinical phenomena into a common framework; it aligns cognitive and movement disorders; and it makes specific predictions on cognitive physiology that support translational and experimental medicine studies. The insights into complex human cognitive disorders from the predictive coding framework may therefore also inform future therapeutic strategies.
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Affiliation(s)
- Ece Kocagoncu
- Cambridge Centre for Frontotemporal Dementia, Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
| | | | - Laura E Hughes
- Cambridge Centre for Frontotemporal Dementia, Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK.,Medical Research Council Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, UK
| | - James B Rowe
- Cambridge Centre for Frontotemporal Dementia, Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK.,Medical Research Council Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, UK
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After-effects of 10 Hz tACS over the prefrontal cortex on phonological word decisions. Brain Stimul 2019; 12:1464-1474. [DOI: 10.1016/j.brs.2019.06.021] [Citation(s) in RCA: 28] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2018] [Revised: 05/13/2019] [Accepted: 06/18/2019] [Indexed: 11/23/2022] Open
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