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      Inflection across Categories: Tracking Abstract Morphological Processing in Language Production with MEG

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          Abstract

          Coherent language production requires that speakers adapt words to their grammatical contexts. A fundamental challenge in establishing a functional delineation of this process in the brain is that each linguistic process tends to correlate with numerous others. Our work investigated the neural basis of morphological inflection by measuring magnetoencephalography during the planning of inflected and uninflected utterances that varied across several linguistic dimensions. Results reveal increased activity in the left lateral frontotemporal cortex when inflection is planned, irrespective of phonological specification, syntactic context, or semantic type. Additional findings from univariate and connectivity analyses suggest that the brain distinguishes between different types of inflection. Specifically, planning noun and verb utterances requiring the addition of the suffix -s elicited increased activity in the ventral prefrontal cortex. A broadly distributed effect of syntactic context (verb vs. noun) was also identified. Results from representational similarity analysis indicate that this effect cannot be explained in terms of word meaning. Together, these results 1) offer evidence for a neural representation of abstract inflection that separates from other stimulus properties and 2) challenge theories that emphasize semantic content as a source of verb/noun processing differences.

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          Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing

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            Investigating Causal Relations by Econometric Models and Cross-spectral Methods

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              Nonparametric statistical testing of EEG- and MEG-data.

              In this paper, we show how ElectroEncephaloGraphic (EEG) and MagnetoEncephaloGraphic (MEG) data can be analyzed statistically using nonparametric techniques. Nonparametric statistical tests offer complete freedom to the user with respect to the test statistic by means of which the experimental conditions are compared. This freedom provides a straightforward way to solve the multiple comparisons problem (MCP) and it allows to incorporate biophysically motivated constraints in the test statistic, which may drastically increase the sensitivity of the statistical test. The paper is written for two audiences: (1) empirical neuroscientists looking for the most appropriate data analysis method, and (2) methodologists interested in the theoretical concepts behind nonparametric statistical tests. For the empirical neuroscientist, a large part of the paper is written in a tutorial-like fashion, enabling neuroscientists to construct their own statistical test, maximizing the sensitivity to the expected effect. And for the methodologist, it is explained why the nonparametric test is formally correct. This means that we formulate a null hypothesis (identical probability distribution in the different experimental conditions) and show that the nonparametric test controls the false alarm rate under this null hypothesis.
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                Author and article information

                Contributors
                Journal
                Cereb Cortex
                Cereb Cortex
                cercor
                Cerebral Cortex (New York, NY)
                Oxford University Press
                1047-3211
                1460-2199
                15 April 2022
                13 September 2021
                13 September 2021
                : 32
                : 8
                : 1721-1736
                Affiliations
                Department of Psychology , New York University, New York, NY 10003, USA
                NYUAD Institute , New York University Abu Dhabi, Abu Dhabi, P.O. Box 129188, UAE
                Department of Psychology , New York University, New York, NY 10003, USA
                Department of Psychology , Harvard University, Cambridge, MA 02138, USA
                Department of Psychology , New York University, New York, NY 10003, USA
                NYUAD Institute , New York University Abu Dhabi, Abu Dhabi, P.O. Box 129188, UAE
                Department of Linguistics , New York University, New York, NY 10003, USA
                Author notes
                Address correspondence to Miriam Hauptman, Department of Psychological & Brain Sciences, Johns Hopkins University, Department of Psychological and Brain Sciences 3400 N Charles Street, Baltimore MD, 21218 USA. Email: mhauptm1@ 123456jhu.edu

                Miriam Hauptman and Esti Blanco-Elorrieta are co-first authors (equal contributions).

                Author information
                https://orcid.org/0000-0002-5903-1552
                https://orcid.org/0000-0003-2983-5880
                Article
                bhab309
                10.1093/cercor/bhab309
                9016284
                34515304
                d0b983cc-21aa-489b-a4fa-965ff57e3550
                © The Author(s) 2021. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com

                This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License ( https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com

                History
                : 12 April 2021
                : 26 July 2021
                : 27 July 2021
                Page count
                Pages: 16
                Funding
                Funded by: Abu Dhabi Education Council, DOI 10.13039/100012810;
                Award ID: G1001
                Categories
                Original Article
                AcademicSubjects/MED00310
                AcademicSubjects/MED00385
                AcademicSubjects/SCI01870

                Neurology
                magnetoencephalography,morphological inflection,nouns,production,verbs
                Neurology
                magnetoencephalography, morphological inflection, nouns, production, verbs

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