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Hiersche KJ, Schettini E, Li J, Saygin ZM. Functional dissociation of the language network and other cognition in early childhood. Hum Brain Mapp 2024; 45:e26757. [PMID: 38888027 PMCID: PMC11184366 DOI: 10.1002/hbm.26757] [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: 12/12/2023] [Revised: 05/28/2024] [Accepted: 05/29/2024] [Indexed: 06/20/2024] Open
Abstract
Is language distinct from other cognition during development? Does neural machinery for language emerge from general-purpose neural mechanisms, becoming tuned for language after years of experience and maturation? Answering these questions will shed light on the origins of domain-specificity in the brain. We address these questions using precision fMRI, scanning young children (35 months to 9 years of age) on an auditory language localizer, spatial working memory localizer (engaging the domain-general multiple demand [MD] network), and a resting-state scan. We create subject-specific functional regions of interest for each network and examine their selectivity, specificity, and functional connectivity. We find young children show domain-specific, left-lateralized language activation, and that the language network is not responsive to domain-general cognitive load. Additionally, the cortically adjacent MD network is selective to cognitive load, but not to language. These networks show higher within versus between-network functional connectivity. This connectivity is stable across ages (examined cross-sectionally and longitudinally), whereas language responses increase with age and across time within subject, reflecting a domain-specific developmental change. Overall, we provide evidence for a double dissociation of the language and MD network throughout development, in both their function and connectivity. These findings suggest that domain-specificity, even for uniquely human cognition like language, develops early and distinctly from mechanisms that presumably support other human cognition.
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Affiliation(s)
- K. J. Hiersche
- Department of PsychologyThe Ohio State UniversityColumbusOhioUSA
- Center for Cognitive and Behavioral Brain Imaging, The Ohio State UniversityColumbusOhioUSA
| | - E. Schettini
- Department of PsychologyThe Ohio State UniversityColumbusOhioUSA
- Center for Cognitive and Behavioral Brain Imaging, The Ohio State UniversityColumbusOhioUSA
| | - J. Li
- Department of PsychologyThe Ohio State UniversityColumbusOhioUSA
- Center for Cognitive and Behavioral Brain Imaging, The Ohio State UniversityColumbusOhioUSA
| | - Z. M. Saygin
- Department of PsychologyThe Ohio State UniversityColumbusOhioUSA
- Center for Cognitive and Behavioral Brain Imaging, The Ohio State UniversityColumbusOhioUSA
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Shen B, Xiao S, Yu C, Zhang C, Zhan J, Liu Y, Fu W. Cerebral hemodynamics underlying ankle force sense modulated by high-definition transcranial direct current stimulation. Cereb Cortex 2024; 34:bhae226. [PMID: 38850217 DOI: 10.1093/cercor/bhae226] [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: 04/08/2024] [Revised: 05/07/2024] [Accepted: 05/14/2024] [Indexed: 06/10/2024] Open
Abstract
This study aimed to investigate the effects of high-definition transcranial direct current stimulation on ankle force sense and underlying cerebral hemodynamics. Sixteen healthy adults (8 males and 8 females) were recruited in the study. Each participant received either real or sham high-definition transcranial direct current stimulation interventions in a randomly assigned order on 2 visits. An isokinetic dynamometer was used to assess the force sense of the dominant ankle; while the functional near-infrared spectroscopy was employed to monitor the hemodynamics of the sensorimotor cortex. Two-way analyses of variance with repeated measures and Pearson correlation analyses were performed. The results showed that the absolute error and root mean square error of ankle force sense dropped more after real stimulation than after sham stimulation (dropped by 23.4% vs. 14.9% for absolute error, and 20.0% vs. 10.2% for root mean square error). The supplementary motor area activation significantly increased after real high-definition transcranial direct current stimulation. The decrease in interhemispheric functional connectivity within the Brodmann's areas 6 was significantly correlated with ankle force sense improvement after real high-definition transcranial direct current stimulation. In conclusion, high-definition transcranial direct current stimulation can be used as a potential intervention for improving ankle force sense. Changes in cerebral hemodynamics could be one of the explanations for the energetic effect of high-definition transcranial direct current stimulation.
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Affiliation(s)
- Bin Shen
- School of Exercise and Health, Shanghai University of Sport, 200 Hengren Road, Yangpu District, Shanghai 200438, China
| | - Songlin Xiao
- School of Exercise and Health, Shanghai University of Sport, 200 Hengren Road, Yangpu District, Shanghai 200438, China
| | - Changxiao Yu
- School of Exercise and Health, Shanghai University of Sport, 200 Hengren Road, Yangpu District, Shanghai 200438, China
| | - Chuyi Zhang
- School of Exercise and Health, Shanghai University of Sport, 200 Hengren Road, Yangpu District, Shanghai 200438, China
| | - Jianglong Zhan
- School of Exercise and Health, Shanghai University of Sport, 200 Hengren Road, Yangpu District, Shanghai 200438, China
| | - Ying Liu
- School of Psychology, Shanghai University of Sport, 399 Changhai Road, Yangpu District, Shanghai 200438, China
| | - Weijie Fu
- School of Exercise and Health, Shanghai University of Sport, 200 Hengren Road, Yangpu District, Shanghai 200438, China
- Key Laboratory of Exercise and Health Sciences of Ministry of Education, Shanghai University of Sport, 200 Hengren Road, Yangpu District, Shanghai 200438, China
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Xu S, Li C, Wei C, Kang X, Shu S, Liu G, Xu Z, Han M, Luo J, Tang W. Closed-Loop Wearable Device Network of Intrinsically-Controlled, Bilateral Coordinated Functional Electrical Stimulation for Stroke. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2024; 11:e2304763. [PMID: 38429890 PMCID: PMC11077660 DOI: 10.1002/advs.202304763] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/14/2023] [Revised: 01/28/2024] [Indexed: 03/03/2024]
Abstract
Innovative functional electrical stimulation has demonstrated effectiveness in enhancing daily walking and rehabilitating stroke patients with foot drop. However, its lack of precision in stimulating timing, individual adaptivity, and bilateral symmetry, resulted in diminished clinical efficacy. Therefore, a closed-loop wearable device network of intrinsically controlled functional electrical stimulation (CI-FES) system is proposed, which utilizes the personal surface myoelectricity, derived from the intrinsic neuro signal, as the switch to activate/deactivate the stimulation on the affected side. Simultaneously, it decodes the myoelectricity signal of the patient's healthy side to adjust the stimulation intensity, forming an intrinsically controlled loop with the inertial measurement units. With CI-FES assistance, patients' walking ability significantly improved, evidenced by the shift in ankle joint angle mean and variance from 105.53° and 28.84 to 102.81° and 17.71, and the oxyhemoglobin concentration tested by the functional near-infrared spectroscopy. In long-term CI-FES-assisted clinical testing, the discriminability in machine learning classification between patients and healthy individuals gradually decreased from 100% to 92.5%, suggesting a remarkable recovery tendency, further substantiated by performance on the functional movement scales. The developed CI-FES system is crucial for contralateral-hemiplegic stroke recovery, paving the way for future closed-loop stimulation systems in stroke rehabilitation is anticipated.
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Affiliation(s)
- Shuxing Xu
- Beijing Institute of Nanoenergy and NanosystemsChinese Academy of SciencesBeijing101400China
- Center on Nanoenergy ResearchSchool of Physical Science & TechnologyGuangxi UniversityNanning530004China
- School of Nanoscience and TechnologyUniversity of Chinese Academy of SciencesBeijing100049China
| | - Chengyu Li
- Beijing Institute of Nanoenergy and NanosystemsChinese Academy of SciencesBeijing101400China
- School of Nanoscience and TechnologyUniversity of Chinese Academy of SciencesBeijing100049China
| | - Conghui Wei
- Rehabilitation Medicine DepartmentThe Second Affiliated Hospital of Nanchang UniversityNanchang City330006P. R. China
| | - Xinfang Kang
- Rehabilitation Medicine DepartmentThe Second Affiliated Hospital of Nanchang UniversityNanchang City330006P. R. China
| | - Sheng Shu
- Beijing Institute of Nanoenergy and NanosystemsChinese Academy of SciencesBeijing101400China
- School of Nanoscience and TechnologyUniversity of Chinese Academy of SciencesBeijing100049China
| | - Guanlin Liu
- Center on Nanoenergy ResearchSchool of Physical Science & TechnologyGuangxi UniversityNanning530004China
| | - Zijie Xu
- Beijing Institute of Nanoenergy and NanosystemsChinese Academy of SciencesBeijing101400China
- School of Nanoscience and TechnologyUniversity of Chinese Academy of SciencesBeijing100049China
| | - Mengdi Han
- Department of Biomedical EngineeringCollege of Future TechnologyPeking UniversityBeijing100871China
| | - Jun Luo
- Rehabilitation Medicine DepartmentThe Second Affiliated Hospital of Nanchang UniversityNanchang City330006P. R. China
| | - Wei Tang
- Beijing Institute of Nanoenergy and NanosystemsChinese Academy of SciencesBeijing101400China
- School of Nanoscience and TechnologyUniversity of Chinese Academy of SciencesBeijing100049China
- Institute of Applied NanotechnologyJiaxingZhejiang314031China
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Heim F, Scharff C, Fisher SE, Riebel K, Ten Cate C. Auditory discrimination learning and acoustic cue weighing in female zebra finches with localized FoxP1 knockdowns. J Neurophysiol 2024; 131:950-963. [PMID: 38629163 DOI: 10.1152/jn.00228.2023] [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: 06/05/2023] [Revised: 04/07/2024] [Accepted: 04/11/2024] [Indexed: 05/21/2024] Open
Abstract
Rare disruptions of the transcription factor FOXP1 are implicated in a human neurodevelopmental disorder characterized by autism and/or intellectual disability with prominent problems in speech and language abilities. Avian orthologues of this transcription factor are evolutionarily conserved and highly expressed in specific regions of songbird brains, including areas associated with vocal production learning and auditory perception. Here, we investigated possible contributions of FoxP1 to song discrimination and auditory perception in juvenile and adult female zebra finches. They received lentiviral knockdowns of FoxP1 in one of two brain areas involved in auditory stimulus processing, HVC (proper name) or CMM (caudomedial mesopallium). Ninety-six females, distributed over different experimental and control groups were trained to discriminate between two stimulus songs in an operant Go/Nogo paradigm and subsequently tested with an array of stimuli. This made it possible to assess how well they recognized and categorized altered versions of training stimuli and whether localized FoxP1 knockdowns affected the role of different features during discrimination and categorization of song. Although FoxP1 expression was significantly reduced by the knockdowns, neither discrimination of the stimulus songs nor categorization of songs modified in pitch, sequential order of syllables or by reversed playback were affected. Subsequently, we analyzed the full dataset to assess the impact of the different stimulus manipulations for cue weighing in song discrimination. Our findings show that zebra finches rely on multiple parameters for song discrimination, but with relatively more prominent roles for spectral parameters and syllable sequencing as cues for song discrimination.NEW & NOTEWORTHY In humans, mutations of the transcription factor FoxP1 are implicated in speech and language problems. In songbirds, FoxP1 has been linked to male song learning and female preference strength. We found that FoxP1 knockdowns in female HVC and caudomedial mesopallium (CMM) did not alter song discrimination or categorization based on spectral and temporal information. However, this large dataset allowed to validate different cue weights for spectral over temporal information for song recognition.
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Affiliation(s)
- Fabian Heim
- Institute of Biology, Leiden University, Leiden, The Netherlands
- Language and Genetics Department, Max Planck Institute for Psycholinguistics,Nijmegen, The Netherlands
- Institute of Biology, Freie Universität Berlin, Berlin, Germany
| | | | - Simon E Fisher
- Language and Genetics Department, Max Planck Institute for Psycholinguistics,Nijmegen, The Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
| | - Katharina Riebel
- Institute of Biology, Leiden University, Leiden, The Netherlands
| | - Carel Ten Cate
- Institute of Biology, Leiden University, Leiden, The Netherlands
- Leiden Institute for Brain and Cognition, Leiden, The Netherlands
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Lu J, Zhang X, Shu Z, Han J, Yu N. A dynamic brain network decomposition method discovers effective brain hemodynamic sub-networks for Parkinson's disease. J Neural Eng 2024; 21:026047. [PMID: 38621377 DOI: 10.1088/1741-2552/ad3eb6] [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: 01/17/2024] [Accepted: 04/15/2024] [Indexed: 04/17/2024]
Abstract
Objective.Dopaminergic treatment is effective for Parkinson's disease (PD). Nevertheless, the conventional treatment assessment mainly focuses on human-administered behavior examination while the underlying functional improvements have not been well explored. This paper aims to investigate brain functional variations of PD patients after dopaminergic therapy.Approach.This paper proposed a dynamic brain network decomposition method and discovered brain hemodynamic sub-networks that well characterized the efficacy of dopaminergic treatment in PD. Firstly, a clinical walking procedure with functional near-infrared spectroscopy was developed, and brain activations during the procedure from fifty PD patients under the OFF and ON states (without and with dopaminergic medication) were captured. Then, dynamic brain networks were constructed with sliding-window analysis of phase lag index and integrated time-varying functional networks across all patients. Afterwards, an aggregated network decomposition algorithm was formulated based on aggregated effectiveness optimization of functional networks in spanning network topology and cross-validation network variations, and utilized to unveil effective brain hemodynamic sub-networks for PD patients. Further, dynamic sub-network features were constructed to characterize the brain flexibility and dynamics according to the temporal switching and activation variations of discovered sub-networks, and their correlations with differential treatment-induced gait alterations were analyzed.Results.The results demonstrated that PD patients exhibited significantly enhanced flexibility after dopaminergic therapy within a sub-network related to the improvement of motor functions. Other sub-networks were significantly correlated with trunk-related axial symptoms and exhibited no significant treatment-induced dynamic interactions.Significance.The proposed method promises a quantified and objective approach for dopaminergic treatment evaluation. Moreover, the findings suggest that the gait of PD patients comprises distinct motor domains, and the corresponding neural controls are selectively responsive to dopaminergic treatment.
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Affiliation(s)
- Jiewei Lu
- College of Artificial Intelligence, Nankai University, Tianjin, People's Republic of China
| | - Xinyuan Zhang
- College of Artificial Intelligence, Nankai University, Tianjin, People's Republic of China
| | - Zhilin Shu
- College of Artificial Intelligence, Nankai University, Tianjin, People's Republic of China
| | - Jianda Han
- College of Artificial Intelligence, Nankai University, Tianjin, People's Republic of China
- Engineering Research Center of Trusted Behavior Intelligence, Ministry of Education, Nankai University, Tianjin, People's Republic of China
- Institute of Intelligence Technology and Robotic Systems, Shenzhen Research Institute of Nankai University, Shenzhen, People's Republic of China
| | - Ningbo Yu
- College of Artificial Intelligence, Nankai University, Tianjin, People's Republic of China
- Engineering Research Center of Trusted Behavior Intelligence, Ministry of Education, Nankai University, Tianjin, People's Republic of China
- Institute of Intelligence Technology and Robotic Systems, Shenzhen Research Institute of Nankai University, Shenzhen, People's Republic of China
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杨 骞, 刘 云. [Research progress on brain functional near-infrared spectroscopy technology in the field of neonates]. ZHONGGUO DANG DAI ER KE ZA ZHI = CHINESE JOURNAL OF CONTEMPORARY PEDIATRICS 2024; 26:86-91. [PMID: 38269465 PMCID: PMC10817743 DOI: 10.7499/j.issn.1008-8830.2309002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Received: 09/01/2023] [Accepted: 12/24/2023] [Indexed: 01/26/2024]
Abstract
Functional near infrared spectroscopy (fNIRS) is an emerging neuroimaging tool that reflects the activity and function of brain neurons by monitoring changes in brain oxygen metabolism based on the neurovascular coupling mechanism. It is non-invasive and convenient, especially suitable for monitoring neonatal brain function. This article provides a comprehensive review of research related to the developmental patterns of brain networks concerning language, music, and emotions in neonates using fNIRS. It also covers brain network imaging in neonatal care, resting-state brain network connectivity patterns, and characteristics of brain functional imaging in disease states of neonates using fNIRS.
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Di Liberto GM, Attaheri A, Cantisani G, Reilly RB, Ní Choisdealbha Á, Rocha S, Brusini P, Goswami U. Emergence of the cortical encoding of phonetic features in the first year of life. Nat Commun 2023; 14:7789. [PMID: 38040720 PMCID: PMC10692113 DOI: 10.1038/s41467-023-43490-x] [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: 10/19/2022] [Accepted: 11/10/2023] [Indexed: 12/03/2023] Open
Abstract
Even prior to producing their first words, infants are developing a sophisticated speech processing system, with robust word recognition present by 4-6 months of age. These emergent linguistic skills, observed with behavioural investigations, are likely to rely on increasingly sophisticated neural underpinnings. The infant brain is known to robustly track the speech envelope, however previous cortical tracking studies were unable to demonstrate the presence of phonetic feature encoding. Here we utilise temporal response functions computed from electrophysiological responses to nursery rhymes to investigate the cortical encoding of phonetic features in a longitudinal cohort of infants when aged 4, 7 and 11 months, as well as adults. The analyses reveal an increasingly detailed and acoustically invariant phonetic encoding emerging over the first year of life, providing neurophysiological evidence that the pre-verbal human cortex learns phonetic categories. By contrast, we found no credible evidence for age-related increases in cortical tracking of the acoustic spectrogram.
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Affiliation(s)
- Giovanni M Di Liberto
- ADAPT Centre, School of Computer Science and Statistics, Trinity College, The University of Dublin, Dublin, Ireland.
- Trinity College Institute of Neuroscience, Trinity College, The University of Dublin, Dublin, Ireland.
- Centre for Neuroscience in Education, Department of Psychology, University of Cambridge, Cambridge, United Kingdom.
| | - Adam Attaheri
- Centre for Neuroscience in Education, Department of Psychology, University of Cambridge, Cambridge, United Kingdom
| | - Giorgia Cantisani
- ADAPT Centre, School of Computer Science and Statistics, Trinity College, The University of Dublin, Dublin, Ireland
- Laboratoire des Systémes Perceptifs, Département d'études Cognitives, École normale supérieure, PSL University, CNRS, 75005, Paris, France
| | - Richard B Reilly
- Trinity College Institute of Neuroscience, Trinity College, The University of Dublin, Dublin, Ireland
- School of Engineering, Trinity Centre for Biomedical Engineering, Trinity College, The University of Dublin., Dublin, Ireland
- School of Medicine, Trinity College, The University of Dublin, Dublin, Ireland
| | - Áine Ní Choisdealbha
- Centre for Neuroscience in Education, Department of Psychology, University of Cambridge, Cambridge, United Kingdom
| | - Sinead Rocha
- Centre for Neuroscience in Education, Department of Psychology, University of Cambridge, Cambridge, United Kingdom
| | - Perrine Brusini
- Centre for Neuroscience in Education, Department of Psychology, University of Cambridge, Cambridge, United Kingdom
| | - Usha Goswami
- Centre for Neuroscience in Education, Department of Psychology, University of Cambridge, Cambridge, United Kingdom
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Menn KH, Männel C, Meyer L. Does Electrophysiological Maturation Shape Language Acquisition? PERSPECTIVES ON PSYCHOLOGICAL SCIENCE 2023; 18:1271-1281. [PMID: 36753616 PMCID: PMC10623610 DOI: 10.1177/17456916231151584] [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] [Indexed: 02/10/2023]
Abstract
Infants master temporal patterns of their native language at a developmental trajectory from slow to fast: Shortly after birth, they recognize the slow acoustic modulations specific to their native language before tuning into faster language-specific patterns between 6 and 12 months of age. We propose here that this trajectory is constrained by neuronal maturation-in particular, the gradual emergence of high-frequency neural oscillations in the infant electroencephalogram. Infants' initial focus on slow prosodic modulations is consistent with the prenatal availability of slow electrophysiological activity (i.e., theta- and delta-band oscillations). Our proposal is consistent with the temporal patterns of infant-directed speech, which initially amplifies slow modulations, approaching the faster modulation range of adult-directed speech only as infants' language has advanced sufficiently. Moreover, our proposal agrees with evidence from premature infants showing maturational age is a stronger predictor of language development than ex utero exposure to speech, indicating that premature infants cannot exploit their earlier availability of speech because of electrophysiological constraints. In sum, we provide a new perspective on language acquisition emphasizing neuronal development as a critical driving force of infants' language development.
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Affiliation(s)
- Katharina H. Menn
- Research Group Language Cycles, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
- Department of Neuropsychology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
- International Max Planck Research School on Neuroscience of Communication: Function, Structure, and Plasticity, Leipzig, Germany
| | - Claudia Männel
- Department of Neuropsychology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
- Department of Audiology and Phoniatrics, Charité – Universitätsmedizin Berlin, Berlin, Germany
| | - Lars Meyer
- Research Group Language Cycles, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
- Clinic for Phoniatrics and Pedaudiology, University Hospital Münster, Münster, Germany
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Kujala T, Partanen E, Virtala P, Winkler I. Prerequisites of language acquisition in the newborn brain. Trends Neurosci 2023; 46:726-737. [PMID: 37344237 DOI: 10.1016/j.tins.2023.05.011] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2023] [Revised: 04/13/2023] [Accepted: 05/24/2023] [Indexed: 06/23/2023]
Abstract
Learning to decode and produce speech is one of the most demanding tasks faced by infants. Nevertheless, infants typically utter their first words within a year, and phrases soon follow. Here we review cognitive abilities of newborn infants that promote language acquisition, focusing primarily on studies tapping neural activity. The results of these studies indicate that infants possess core adult auditory abilities already at birth, including statistical learning and rule extraction from variable speech input. Thus, the neonatal brain is ready to categorize sounds, detect word boundaries, learn words, and separate speech streams: in short, to acquire language quickly and efficiently from everyday linguistic input.
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Affiliation(s)
- Teija Kujala
- Cognitive Brain Research Unit, Centre of Excellence in Music, Mind, Body and Brain, Department of Psychology and Logopedics, Faculty of Medicine, University of Helsinki, Finland.
| | - Eino Partanen
- Cognitive Brain Research Unit, Centre of Excellence in Music, Mind, Body and Brain, Department of Psychology and Logopedics, Faculty of Medicine, University of Helsinki, Finland
| | - Paula Virtala
- Cognitive Brain Research Unit, Centre of Excellence in Music, Mind, Body and Brain, Department of Psychology and Logopedics, Faculty of Medicine, University of Helsinki, Finland
| | - István Winkler
- Institute of Cognitive Neuroscience and Psychology, Research Centre for Natural Sciences, Budapest, Hungary
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Scripts’ influence on reading processes and cognition: a preamble. JOURNAL OF CULTURAL COGNITIVE SCIENCE 2022. [DOI: 10.1007/s41809-022-00109-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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