DOCSLIB.ORG

Neurophysiological Activity Related to Speech Production: an ERP Investigation Adithya Chandregowda University of South Florida, [email protected]

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text
Neurophysiological Activity Related to Speech Production: an ERP Investigation Adithya Chandregowda University of South Florida, Adithya@Mail.Usf.Edu University of South Florida Scholar Commons Graduate Theses and Dissertations Graduate School 11-20-2015 Neurophysiological Activity Related to Speech Production: An ERP Investigation Adithya Chandregowda University of South Florida, [email protected] Follow this and additional works at: http://scholarcommons.usf.edu/etd Part of the Neurosciences Commons, and the Other Psychology Commons Scholar Commons Citation Chandregowda, Adithya, "Neurophysiological Activity Related to Speech Production: An ERP Investigation" (2015). Graduate Theses and Dissertations. http://scholarcommons.usf.edu/etd/5919 This Dissertation is brought to you for free and open access by the Graduate School at Scholar Commons. It has been accepted for inclusion in Graduate Theses and Dissertations by an authorized administrator of Scholar Commons. For more information, please contact [email protected]. Neurophysiological Activity Related to Speech Production: An ERP Investigation by Adithya Chandregowda A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy Department of Communication Sciences and Disorders College of Behavioral and Community Sciences University of South Florida Co-Major Professor: Emanuel Donchin, Ph.D. Co-Major Professor: Yael Arbel, Ph.D. Stefan A. Frisch, Ph.D. Nathan D. Maxfield, Ph.D. Date of Approval: November 20, 2015 Keywords: Speech motor control, Readiness potentials, Principal component analysis Copyright © 2015, Adithya Chandregowda TABLE OF CONTENTS LIST OF TABLES ................................................................................................................. ii LIST OF FIGURES .............................................................................................................. iii ABSTRACT .................................................................................................................... v CHAPTER ONE: INTRODUCTION AND LITERATURE REVIEW ................................................. 1 1.1 Event Related Potentials (ERPs) .......................................................................... 1 1.2 Use of ERPs to Study Neuromotor Control ............................................................ 6 1.3 The Present Study ............................................................................................ 17 CHAPTER TWO: METHODS ................................................................................................ 19 2.1 Participants ...................................................................................................... 19 2.2 Procedure ........................................................................................................ 19 2.2.1 Task 1 (Hand motor task) .................................................................... 20 2.2.2 Task 2 (Speech motor task) ................................................................. 21 2.3 ERP Recording and Analysis Procedures .............................................................. 22 CHAPTER THREE: RESULTS ............................................................................................... 25 3.1 Hand Motor Task .............................................................................................. 25 3.1.1 Behavioral results ................................................................................ 25 3.1.2 ERP results ......................................................................................... 26 3.2 Speech Motor Task ........................................................................................... 31 3.2.1 Behavioral results ................................................................................ 31 3.2.2 ERP results ......................................................................................... 33 CHAPTER FOUR: DISCUSSION ........................................................................................... 50 4.1 Discussion of the Results ................................................................................... 50 4.2 Future Implications ........................................................................................... 55 REFERENCES .................................................................................................................. 56 APPENDICES .................................................................................................................. 61 Appendix A: IRB approval letter ............................................................................... 61 i LIST OF TABLES Table 1. Clean trials used for averaging data from the manual task .................................... 23 Table 2. Clean trials used for averaging data from the speech task .................................... 24 ii LIST OF FIGURES Figure 1. Image recreated from Galgano and Fraud (2008) ........................................... 14 Figure 2. Sequence of events for the hand motor task .................................................. 21 Figure 3. Sequence of events for the speech task ......................................................... 22 Figure 4. Grand average RT (average of mean individual RT from each participant) for right and left hand button press ............................................................... 25 Figure 5. Grand average response locked LRPs ............................................................ 26 Figure 6. Grand average stimulus-locked LRPs ............................................................. 27 Figure 7. Grand average response-locked virtual ERPs from (A) spatial factor 1 (SF1) and (B) from spatial factor 2 (SF2 ................................................................. 28 Figure 8. Grand average response-locked virtual ERPs from spatial factor 4 (SF4) ........... 29 Figure 9. Grand average response-locked virtual ERPs from spatial factor 7 (SF7) ........... 30 Figure 10. (A) Grand average response-locked virtual ERPs from spatial factor 8 (SF8) ..... 31 Figure 11. Gender differences in the number of trials picked up by mic ............................ 32 Figure 12. Grand average RT (average of mean individual RT from each participant) for the speaking condition ............................................................................ 33 Figure 13. Grand average response locked ERPs from central sites (C3, Cz, C4) ............... 34 Figure 14. Grand average stimulus-locked ERPs across conditions from (A) central electrode sites, (B) frontal electrode sites, (C) temporal electrode sites and (D) parietal electrode sites ........................................................................... 36 Figure 15. Grand average response-locked virtual ERP from spatial factor 2 (SF2) ............ 37 Figure 16. Temporal factors from spatial factor 2 (SF2) .................................................. 37 Figure 17. Correlation between mean RT and factor scores ............................................. 38 Figure 18. Grand average response-locked virtual ERP from spatial factor 3 (SF3) ............ 39 iii Figure 19. A) Temporal factor 2 (TF2) from spatial factor 3 (SF3) .................................... 39 Figure 20. Grand average response-locked virtual ERP from spatial factor 7 (SF7) ............ 40 Figure 21. (A) Temporal factor 4 (TF4) from spatial factor 7(SF7) ................................... 40 Figure 22. Grand average stimulus-locked virtual ERP from spatial factor 2 (SF2) ............. 42 Figure 23. Temporal factors from SF2 ........................................................................... 42 Figure 24. Grand average stimulus-locked virtual ERP from spatial factor 3 (SF3) ............. 43 Figure 25. (A) Temporal factor 1 (TF1) corresponding to the slow negative wave noted in the SF3 virtual ERP .................................................................................. 44 Figure 26. Grand average stimulus-locked virtual ERP from spatial factor 5 (SF5) ............. 45 Figure 27. (A) Temporal factor 2 (TF2) corresponding to the slow negative wave noted in the SF5 virtual ERP .................................................................................. 45 Figure 28. Split-half trial analysis of stimulus-locked ERPs ............................................... 46 Figure 29. Electrodes circled in red were placed on or very close to the masseter muscles to monitor EMG ............................................................................... 47 Figure 30. Split-half analysis of stimulus-locked activity from left and right masseter sites ........................................................................................................... 47 Figure 30. Comparing activity between left masseter and right masseter sites for data filtered through 0.1Hz to 10 Hz ..................................................................... 49 Figure 31. Comparing activity between left masseter and right masseter sites for data filtered through 20 Hz to 125 Hz ................................................................... 49 iv ABSTRACT The event related potential (ERP) technique is enjoying widespread application in neurophysiological research due to its fine temporal resolution. Of relevance to this study are ERPs related to voluntary movements. The precision with which movement related processes could be recorded using the ERP technique was demonstrated by Gilden, Vaughan and Costa (1966) and Kutas and Donchin (1974, 1977, and 1980) who found that the readiness potential (RP) immediately preceding hand movement was larger over the
Load more

Recommended publications
  • Defining the Relation Between Linguistics and Neuroscience
    Defining the relation between linguistics and 6 neuroscience David Poeppel and David Embick University of Maryland College Park and University of Pennsylvania The popularity of the study of language and the brain is evident from the large number of studies published in the last 15 or so years that have used PET, fMRI, EEG, MEG, TMS, or NIRS to investigate aspects of brain and language, in linguistic domains ranging from phonetics to discourse processing. The amount of resources devoted to such studies suggests that they are motivated by a viable and successful research program, and implies that substantive progress is being made. At the very least, the amount and vigor of such research implies that something significant is being learned. In this article, we present a critique of the dominant research program, and provide a cautionary perspective that challenges the belief that explanatorily significant progress is already being made. Our critique focuses on the question of whether current brain/language research provides an example of interdisciplinary cross-fertilization, or an example of cross-sterilization. In developing our critique, which is in part motivated by the necessity to examine the presuppositions of our own work (e.g. Embick, Marantz, Miyashita, O'Neil, Sakai, 2000; Embick, Hackl, Schaeffer, Kelepir, Marantz, 2001; Poeppel, 1996; Poeppel et al. 2004), we identify fundamental problems that must be addressed if progress is to be made in this area of inquiry. We conclude with the outline of a research program that constitutes an attempt to overcome these problems, at the core of which lies the notion of computation.
    [Show full text]
  • Neural Representational Similarity Between Symbolic and Non-Symbolic Quantities Predicts Arithmetic Skills in Childhood but Not Adolescence
    Received: 29 July 2020 Revised: 1 April 2021 Accepted: 3 May 2021 DOI: 10.1111/desc.13123 SHORT REPORT Neural representational similarity between symbolic and non-symbolic quantities predicts arithmetic skills in childhood but not adolescence Flora Schwartz1 Yuan Zhang1 Hyesang Chang1 Shelby Karraker1 Julia Boram Kang1 Vinod Menon1,2,3,4 1 Department of Psychiatry and Behavioral Sciences, Stanford University School of Abstract Medicine, Stanford, California, USA Mathematical knowledge is constructed hierarchically from basic understanding of 2 Department of Neurology and Neurological quantities and the symbols that denote them. Discrimination of numerical quantity in Sciences, Stanford University School of Medicine, Stanford, California, USA both symbolic and non-symbolic formats has been linked to mathematical problem- 3 Stanford Neuroscience InstituteStanford solving abilities. However, little is known of the extent to which overlap in quantity University School of Medicine, Stanford, California, USA representations between symbolic and non-symbolic formats is related to individual 4 Symbolic Systems Program, Stanford differences in numerical problem solving and whether this relation changes with dif- University School of Medicine, Stanford, ferent stages of development and skill acquisition. Here we investigate the association California, USA between neural representational similarity (NRS) across symbolic and non-symbolic Correspondence quantity discrimination and arithmetic problem-solving skills in early and late devel- Vinod Menon, Stanford University School of opmental stages: elementary school children (ages 7–10 years) and adolescents and Medicine, 401 Quarry Rd, Stanford, CA 94305, USA. young adults (AYA, ages 14–21 years). In children, cross-format NRS in distributed Email: [email protected] brain regions, including parietal and frontal cortices and the hippocampus, was posi- Flora Schwartz, Yuan Zhang, and Hyesang tively correlated with arithmetic skills.
    [Show full text]
  • Jyoti Mishra, Ph.D
    Contact CURRICULUM VITAE UCSF - Mission Bay Sandler Neurosciences Center Rm 502 Jyoti Mishra, Ph.D 675 Nelson Rising Lane San Francisco, CA 94158-0444 Web: http://profiles.ucsf.edu/jyoti.mishra http://gazzaleylab.ucsf.edu/people-profiles/jyoti-mishra/ Email: [email protected] [email protected] Phone: 415-502-7322 Personal Statement I am a translational neuroscientist with expertise in attention, learning and brain plasticity. My research mission is “advancing neurotechnology from the lab to the community”. I develop and evaluate novel neurotechnologies that can serve as neurocognitive diagnostics and therapeutics; in this context, I recently developed novel attention training tools for aging adults and children with attention deficits. My current lab projects focus on advancing real-time neurofeedback technologies and developing neuroscience-based training that optimizes decision-making in children. My community projects evaluate our innovative neurocognitive therapeutics in children with ADHD and neglected children in institutional foster-care, here in the United States as well as in India via global mental health research collaborations. Positions and Employment 2013 - present Assistant Professor Step 2 Departments of Neurology, Psychiatry and Global Health Sciences University of California, San Francisco 2009 - 2014 Senior Scientist, Brain Plasticity Institute PositScience Corporation, San Francisco 2009 - 2012 Postdoctoral Research Fellow, Neurology University of California, San Francisco 2008 - 2009 Postdoctoral Research
    [Show full text]
  • Neurolinguistic and Machine-Learning Perspectives on Direct Speech Bcis for Restoration of Naturalistic Communication
    Brain-Computer Interfaces ISSN: 2326-263X (Print) 2326-2621 (Online) Journal homepage: http://www.tandfonline.com/loi/tbci20 Neurolinguistic and machine-learning perspectives on direct speech BCIs for restoration of naturalistic communication Olga Iljina, Johanna Derix, Robin Tibor Schirrmeister, Andreas Schulze- Bonhage, Peter Auer, Ad Aertsen & Tonio Ball To cite this article: Olga Iljina, Johanna Derix, Robin Tibor Schirrmeister, Andreas Schulze- Bonhage, Peter Auer, Ad Aertsen & Tonio Ball (2017): Neurolinguistic and machine-learning perspectives on direct speech BCIs for restoration of naturalistic communication, Brain-Computer Interfaces, DOI: 10.1080/2326263X.2017.1330611 To link to this article: http://dx.doi.org/10.1080/2326263X.2017.1330611 © 2017 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group Published online: 21 Jun 2017. Submit your article to this journal View related articles View Crossmark data Full Terms & Conditions of access and use can be found at http://www.tandfonline.com/action/journalInformation?journalCode=tbci20 Download by: [93.230.60.226] Date: 22 June 2017, At: 15:41 BRAINCOMPUTER INTERFACES, 2017 https://doi.org/10.1080/2326263X.2017.1330611 OPEN ACCESS Neurolinguistic and machine-learning perspectives on direct speech BCIs for restoration of naturalistic communication Olga Iljinaa,b,c,e,g,h, Johanna Derixe,h, Robin Tibor Schirrmeistere,h, Andreas Schulze-Bonhaged,e, Peter Auera,b,c,f, Ad Aertseng,i and Tonio Balle,h aGRK 1624 ‘Frequency effects in language’, University of
    [Show full text]
  • Language, Culture and the Neurobiology of Pain: a Theoretical Exploration
    Behavioural Neurology, 1989, 2, 235-259 Language, Culture and the Neurobiology of Pain: a Theoretical Exploration HORACIO FABREGA, JR. Universiry oj Pittsburgh, School oj Medicine, Department oj Psychiatry, Pittsburgh, Pennsylvania 15213, USA Language and culture, as conceptualized in traditional anthropology, may have an important influence on pain and brain-behavior relations. The paradigm case for the influence of language and culture on perception and cognition is stipulated in the Sapir-Whorfhypothesis which has been applied to phenomena "external" to the individual. In this paper, the paradigm is applied to information the person retrieves from "inside" his body; namely, "noxious" stimuli which get registered in consciousness as pain. Introduction Every person seems to "know" what pain is and by means of language is able to describe it. Given the ubiquity and importance of pain in the adaptation of higher animal forms, one may infer that it has played an important role in evolution. It is thus very likely that pre-hominids and earlier members of the human species also "knew" a great deal about pain. A neurophysiologist would claim that pain is based on brain structures which all members of the human species share. At present these structures and their mode offunctioning are incompletely understood. An anthropolo­ gist who endorses a position of cultural relativism is aware of the variety of beliefs and understandings about pain and behaviors associated with it and would claim that there appear to exist not one but many varieties of pain (Fabrega, 1974; Zborowski, 1958; Fabrega and Tyma, 1976a,b). Language and culture play some role in the phenomenon of pain.
    [Show full text]
  • Neuroscience Impact Brain and Business
    Innovation Trend Report Neuroscience Impact Brain and Business NEUROSCIENCE IMPACT – BRAIN AND BUSINESS INTRODUCTION This work is licensed under a Creative Commons Attribution-NonCommercial- Acknowledgements NoDerivatives 4.0 International. We would like to extend a special thanks to all of the companies and To view a copy of this license, visit: individuals who participated in our Report with any kind of contribution. https://creativecommons.org/licenses/ The following companies agreed to be publicly named and gave us by-nc-nd/4.0/ or send a letter to: Creative precious content to be published: Commons, 171 Second Street, Suite 300, San Francisco, California, 94105, USA. Dreem Neural Sense Emotiv Neuralya Halo Neuroscience Paradromics Mindmaze Pymetrics Neuron Guard Synetiq We would also like to thank the following individuals for helping us with precious suggestions and information: Russel Poldrack, Professor of Psychology at Stanford University, CA, USA; John Dylan-Haynes, Professor at the Bernstein Center for Computational Neuroscience Berlin, Germany; Carlo Miniussi, Director of Center for Mind/Brain Sciences – CIMeC, University of Trento, Rovereto TN Italy; Zaira Cattaneo, Associate Professor in Psychobiology and Physiological Psychology, Department of Psychology, University of Milano-Bicocca, Milano, Italy; Nadia Bolognini, University of Milano Bicocca, Department of Psychology, & IRCCS Istituto Auxologico Italiano, Laboratory of Neuropsychology; Dario Nardi, Author, speaker and expert in the fields of neuroscience and personality; Intesa Sanpaolo Innovation Center Nick Chater, Professor of Behavioral Science at Warwick Business School; assumes no responsibility on the Enrico Maria Cervellati, Associate Professor of Corporate Finance external linked content, both in terms of at the Department of Management Ca’ Foscari University of Venice; availability that of immutability in time.
    [Show full text]
  • Introduction to Neurolinguistics
    Introduction to Neurolinguistics Aniela Improta França UFRJ (Federal University of Rio de Janeiro, Brazil) This is an account of Introduction to Neurolinguistics, a week-long course that took place during the First South American Summer School in Formal Linguistics (EVELIN ’04), UNICAMP, São Paulo, Brazil. Classes ranged from an overview of brain anatomy and an introduction to neurolinguistics protocols to the comparative analysis of neurolinguistics and medical research about the Language Faculty. 1. About the course Neurolinguistics is a branch of Cognitive Neuroscience, that, on its turn, together with many other fields such as Systemic, Movement, Sensory, Cellular and others, is a branch of a larger domain named the Neurosciences. Neurolinguistics can still be divided into two areas: language acquisition and processing and language impairment. THE NEUROSCIENCES Cognitive Systemic Movement Sensory Cellular Neurolinguistics Vision Hearing Attention Memory Language Acquisition Language Impairment Language Processing The focus on language impairment is a historic one, dating from 400 b.C., with Hippocrates’ accounts on infirmities that produced lack of language. Contrastingly, the questions about the healthy Faculty of Language – how we come to acquire and use our mother tongue – have been systematically taken for granted through a long stretch of history, despite the fact that language is the one cognition that definitely sets us apart from other animals on this planet. In reality, language investigation has only taken a definite bio-linguistic course in the 1950’s with the advent of Noam Chomsky’s Generative Grammar (Chomsky, 1957, 1965). And the neurophysiological characterization of the healthy Faculty of Language, that is, the understanding of language-brain relations at work, only started being investigated specially in the late 1980’s, with the introduction of non-invasive cognitive assessment techniques that brought new and exciting perspectives into the field.
    [Show full text]
  • SEPTEMBER 2018 Vol
    The Journal of the IYNA SEPTEMBER 2018 Vol. 2 Issue 5 Featured Articles ‘Brain Versus Com- ‘The Brain of a puter: A Comparison Honeybee’ of Structure, Meth- - Vilena Lee ods, and Capabilities’ - Khayla Black International Youth Neuroscience Association –––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––– Contents INTRODUCTION Letter from the Editors IYNA Editorial Team page 2 GENERAL NEUROSCIENCE The Brain of a Honeybee Vilena Lee pages 3-7 The Neuroscience Behind Imagination, Kimaya Gadre pages 8-10 or What We Imagine it to be Neurolinguistics: The Intersection of Language Geetanjali Rastogi pages 11-14 and the Brain DISEASE Protein Dysregulation in Amyotrophic Lateral Sarah Shirley p ages 15-17 Sclerosis RESEARCH Oxytocin and Social Cognitive Decits Tobey Le pages 18-20 NEUROTECHNOLOGY Brain versus Computer: A Comparison of Khayla Black pages 21-26 Structure, Methods, and Capabilities INTERVIEW An Interview With Elisabeth Glowatzki: Dharshan Varia pages 27-30 Departments of Otolaryngology and Head and Neck Surgery and Neuroscience at Johns Hopkins University Zebrash and Hearing: An Interview with Dr. Chinmayi Balusu pages 31-35 Allison Con CONTRIBUTORS PAGE page 36 –––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––– 1 –––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––– ・I NTRODUCTION ・ –––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––– Letter From the Editors Sojas Wagle, Robert Morgan, Anita Singh, and Miruna-Elena Vlad Dear Readers, Welcome to the fth issue of the second season of the IYNA Journal! We greatly appreciate your readership, continued or new. This is the second issue with our redesigned journal process where we now have a rolling basis for article publications. This means that every article that is submitted before the deadline will not necessarily be published for that specic issue, but publication in a future issue is virtually guaranteed if the author makes changes to their article as directed by the editors’ suggestions.
    [Show full text]
  • Neuromodulation of Cursing in American English a Combined
    Brain and Language 206 (2020) 104791 Contents lists available at ScienceDirect Brain and Language journal homepage: www.elsevier.com/locate/b&l Neuromodulation of cursing in American English: A combined tDCS and T pupillometry study ⁎ Jamie Reillya,b, , Bonnie Zuckermana,b, Alexandra Kellyc, Maurice Fluriea,b, Sagar Raod a Eleanor M. Saffran Center for Cognitive Neuroscience, USA b Department of Communication Sciences and Disorders, Temple University, Philadelphia, PA, USA c Department of Psychology, Drexel University, Philadelphia, PA, USA d Swarthmore College, Swarthmore, PA, USA ARTICLE INFO ABSTRACT Keywords: Many neurological disorders are associated with excessive and/or uncontrolled cursing. The right prefrontal Cursing cortex has long been implicated in a diverse range of cognitive processes that underlie the propensity for cursing, Tabooness including non-propositional language representation, emotion regulation, theory of mind, and affective arousal. Psycholinguistics Neurogenic cursing often poses significant negative social consequences, and there is no known behavioral tDCS intervention for this communicative disorder. We examined whether right vs. left lateralized prefrontal neu- Brain Stimulation rostimultion via tDCS could modulate taboo word production in neurotypical adults. We employed a pre/post design with a bilateral frontal electrode montage. Half the participants received left anodal and right cathodal stimulation; the remainder received the opposite polarity stimulation at the same anatomical loci. We employed physiological (pupillometry) and behavioral (reaction time) dependent measures as participants read aloud taboo and non-taboo words. Pupillary responses demonstrated a crossover reaction, suggestive of modulation of phasic arousal during cursing. Participants in the right anodal condition showed elevated pupil responses for taboo words post stimulation.
    [Show full text]
  • Clinical Neurolinguistics of Bilingualism 739
    36 Clinical Neurolinguistics of B ilingualism A n d r e a M a r i n i, C o s i m o U r g e s i, a n d F r a n c o F a b b r o Introduction The notion of bilingualism refers to all those people who use or simply know two or more languages, including dialects (Grosjean, 1994 ). Just to provide some fi gures, let us consider that something like 7,000 languages are spoken in barely 160 coun- tries. Furthermore, in many of these countries the number of spoken languages is constantly growing due to massive immigration. This means that over 50% of the world population knows at least two languages with different degrees and can be consequently considered not only bilingual but even multilingual (Tucker, 1998 ). The issue of language representation and use in multilingual speakers can be approached at different levels of description. Indeed, it constitutes a matter of inter- est not only for sociolinguistic models of language use and stratifi cation, but also for psycholinguistic theories of language development and functioning, as well as for neurolinguistic models of language representation in the brain, its loss and potential recovery. As such, the issue of bi - /multilingual competence constitutes an important line of research for both clinical and theoretical neurolinguistics (Fabbro, 2001a ). Accordingly, after introducing the issue of the defi nition of multilingual compe- tence, this chapter will explore the loss and recovery patterns in both adult and child bi - /multilingual speakers with different etiologies (aphasias, specifi c language impairment, neuropsychiatric and progressive neurodegenerative disorders).
    [Show full text]
  • Neurolinguistics
    Neurolinguistics 1 What is neurolinguistics? Neurolinguistics studies the relation of language and communication to different aspects of brain function, i.e. it tries to explore how the brain understands and produces language and communication. This involves attempting to combine theory from neurology/neurophysiology (how the brain is structured and how it functions) with linguistic theory (how language is structured and how it functions). • "human language or communication (speech, hearing, reading, writing, or non-verbal modalities) related to any aspect of the brain or brain function" (Brain and Language: "Description") • The common problem area of relating aspects of language or communication to brain function in this dynamic formulation, is stated as a common question by Luria in "Basic problems in neurolinguistics": • "what are the real processes of formation of verbal communication and its comprehension, and what are the components of these processes and the conditions under which they take place" • (Luria, 1976, p.3) Interdisciplinary enterprise • linguistics,neuroanatomy, neurology, neurophysiology, philosophy, psychology, psychiatry, speech pathology and computer science, neurobiology, anthropology, chemistry, cognitive science and artificial intelligence. • Thus, the humanities, as well as medical, natural and social sciences, as well as technology are represented. Different views on the relation between brain and language • Localism tries to find locations or centers in the brain for different language functions. Associationism places language functions in the connections between different areas of the brain, making it possible to associate, for example, perceptions of different senses with words and/or “concepts”. • Dynamic localization of function assumes that functional systems of localized sub-functions perform language functions. Such systems are dynamic, so that they can be reorganized during language development or after a brain damage.
    [Show full text]
  • On the Limits of Affective Neurolinguistics: a “Universe” That Quickly Expands
    Language, Cognition and Neuroscience ISSN: 2327-3798 (Print) 2327-3801 (Online) Journal homepage: https://www.tandfonline.com/loi/plcp21 On the limits of affective neurolinguistics: a “universe” that quickly expands J. A. Hinojosa, E. M. Moreno & P. Ferré To cite this article: J. A. Hinojosa, E. M. Moreno & P. Ferré (2020): On the limits of affective neurolinguistics: a “universe” that quickly expands, Language, Cognition and Neuroscience, DOI: 10.1080/23273798.2020.1761988 To link to this article: https://doi.org/10.1080/23273798.2020.1761988 Published online: 12 May 2020. Submit your article to this journal View related articles View Crossmark data Full Terms & Conditions of access and use can be found at https://www.tandfonline.com/action/journalInformation?journalCode=plcp21 LANGUAGE, COGNITION AND NEUROSCIENCE https://doi.org/10.1080/23273798.2020.1761988 RESPONSE ARTICLE On the limits of affective neurolinguistics: a “universe” that quickly expands J. A. Hinojosa a,b,c, E. M. Moreno a and P. Ferré d aInstituto Pluridisciplinar, Universidad Complutense de Madrid, Madrid, Spain; bFacultad de Psicología, Universidad Complutense de Madrid, Madrid, Spain; cFacultad de Lenguas y Educación, Universidad de Nebrija, Madrid, Spain; dDepartment of Psychology and CRAMC, Universitat Rovira i Virgili, Tarragona, Spain ABSTRACT ARTICLE HISTORY In our target article (Hinojosa et al., 2019.Affective neurolinguistics: Towards a framework for Received 4 February 2020 reconciling language and emotion. Language, Cognition and Neuroscience,1–27. https://doi.org/ Accepted 21 April 2020 10.1080/23273798.2019.1620957), we reviewed neuroimaging studies that examined the effects KEYWORDS of emotional content on several language-related processes and provided a framework that Language; emotion; aimed to account for the representation of emotional lexical features in the brain.
    [Show full text]