Inviting an author to review:
Find an author and click ‘Invite to review selected article’ near their name.
Search for authorsSearch for similar articles
15
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Instantaneous neural processing of communicative functions conveyed by speech prosody

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          During conversations, speech prosody provides important clues about the speaker’s communicative intentions. In many languages, a rising vocal pitch at the end of a sentence typically expresses a question function, whereas a falling pitch suggests a statement. Here, the neurophysiological basis of intonation and speech act understanding were investigated with high-density electroencephalography (EEG) to determine whether prosodic features are reflected at the neurophysiological level. Already approximately 100 ms after the sentence-final word differing in prosody, questions, and statements expressed with the same sentences led to different neurophysiological activity recorded in the event-related potential. Interestingly, low-pass filtered sentences and acoustically matched nonvocal musical signals failed to show any neurophysiological dissociations, thus suggesting that the physical intonation alone cannot explain this modulation. Our results show rapid neurophysiological indexes of prosodic communicative information processing that emerge only when pragmatic and lexico-semantic information are fully expressed. The early enhancement of question-related activity compared with statements was due to sources in the articulatory-motor region, which may reflect the richer action knowledge immanent to questions, namely the expectation of the partner action of answering the question. The present findings demonstrate a neurophysiological correlate of prosodic communicative information processing, which enables humans to rapidly detect and understand speaker intentions in linguistic interactions.

          Related collections

          Most cited references117

          • Record: found
          • Abstract: found
          • Article: not found

          G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences

          G*Power (Erdfelder, Faul, & Buchner, 1996) was designed as a general stand-alone power analysis program for statistical tests commonly used in social and behavioral research. G*Power 3 is a major extension of, and improvement over, the previous versions. It runs on widely used computer platforms (i.e., Windows XP, Windows Vista, and Mac OS X 10.4) and covers many different statistical tests of the t, F, and chi2 test families. In addition, it includes power analyses for z tests and some exact tests. G*Power 3 provides improved effect size calculators and graphic options, supports both distribution-based and design-based input modes, and offers all types of power analyses in which users might be interested. Like its predecessors, G*Power 3 is free.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis

            We have developed a toolbox and graphic user interface, EEGLAB, running under the crossplatform MATLAB environment (The Mathworks, Inc.) for processing collections of single-trial and/or averaged EEG data of any number of channels. Available functions include EEG data, channel and event information importing, data visualization (scrolling, scalp map and dipole model plotting, plus multi-trial ERP-image plots), preprocessing (including artifact rejection, filtering, epoch selection, and averaging), independent component analysis (ICA) and time/frequency decompositions including channel and component cross-coherence supported by bootstrap statistical methods based on data resampling. EEGLAB functions are organized into three layers. Top-layer functions allow users to interact with the data through the graphic interface without needing to use MATLAB syntax. Menu options allow users to tune the behavior of EEGLAB to available memory. Middle-layer functions allow users to customize data processing using command history and interactive 'pop' functions. Experienced MATLAB users can use EEGLAB data structures and stand-alone signal processing functions to write custom and/or batch analysis scripts. Extensive function help and tutorial information are included. A 'plug-in' facility allows easy incorporation of new EEG modules into the main menu. EEGLAB is freely available (http://www.sccn.ucsd.edu/eeglab/) under the GNU public license for noncommercial use and open source development, together with sample data, user tutorial and extensive documentation.
              Bookmark
              • Record: found
              • Abstract: not found
              • Article: not found

              The assessment and analysis of handedness: The Edinburgh inventory

                Bookmark

                Author and article information

                Contributors
                Journal
                Cereb Cortex
                Cereb Cortex
                cercor
                Cerebral Cortex (New York, NY)
                Oxford University Press
                1047-3211
                1460-2199
                01 November 2022
                08 February 2022
                08 February 2022
                : 32
                : 21
                : 4885-4901
                Affiliations
                Brain Language Laboratory , Department of Philosophy and Humanities, Freie Universität Berlin , 14195 Berlin, Germany
                Cluster of Excellence ‘Matters of Activity. Image Space Material’ , Humboldt Universität zu Berlin, 10099 Berlin, Germany
                Brain Language Laboratory , Department of Philosophy and Humanities, Freie Universität Berlin , 14195 Berlin, Germany
                Cluster of Excellence ‘Matters of Activity. Image Space Material’ , Humboldt Universität zu Berlin, 10099 Berlin, Germany
                Brain Language Laboratory , Department of Philosophy and Humanities, Freie Universität Berlin , 14195 Berlin, Germany
                Berlin School of Mind and Brain , Humboldt Universität zu Berlin, 10117 Berlin, Germany
                Einstein Center for Neurosciences , 10117 Berlin, Germany
                Research Group ‘Neurocognition of Music and Language’ , Max Planck Institute for Empirical Aesthetics , 60322 Frankfurt am Main, Germany
                Department of Neuropsychology , Max Planck Institute for Human Cognitive and Brain Sciences, 04103 Leipzig, Germany
                Brain Language Laboratory , Department of Philosophy and Humanities, Freie Universität Berlin , 14195 Berlin, Germany
                Cluster of Excellence ‘Matters of Activity. Image Space Material’ , Humboldt Universität zu Berlin, 10099 Berlin, Germany
                Berlin School of Mind and Brain , Humboldt Universität zu Berlin, 10117 Berlin, Germany
                Einstein Center for Neurosciences , 10117 Berlin, Germany
                Author notes
                Address correspondence to Rosario Tomasello, Brain Language Laboratory, Department of Philosophy and Humanities, WE4, Freie Universität Berlin, Habelschwerdter Allee 45, 14195 Berlin, Germany. Email: Tomasello.R@ 123456fu-berlin.de
                Author information
                https://orcid.org/0000-0001-8414-2644
                https://orcid.org/0000-0003-4381-2669
                https://orcid.org/0000-0001-7458-0229
                https://orcid.org/0000-0003-3210-7112
                Article
                bhab522
                10.1093/cercor/bhab522
                9626830
                35136980
                888182d2-96a1-4cbb-a999-a426ac9b170e
                © The Author(s) 2022. Published by Oxford University Press.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 1 July 2021
                : 16 November 2021
                : 17 December 2021
                Page count
                Pages: 17
                Funding
                Funded by: Deutsche Forschungsgemeinschaft, DOI 10.13039/501100001659;
                Award ID: Pu 97/25-1
                Categories
                Original Article
                AcademicSubjects/MED00310
                AcademicSubjects/MED00385
                AcademicSubjects/SCI01870

                Neurology
                communicative functions,electroencephalography (eeg),pragmatics,prosody,sensorimotor system

                Comments

                Comment on this article