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      From letters to composed concepts: A magnetoencephalography study of reading

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          Abstract

          Language comprehension requires the recognition of individual words and the combination of their meanings to yield complex concepts or interpretations. This combinatory process often requires the insertion of unstated semantic material between words, based on thematic or feature knowledge. For example, the phrase horse barn is not interpreted as a blend of a horse and a barn, but specifically a barn where horses are kept. Previous neuroscientific evidence suggests that left posterior and anterior temporal cortex underpin thematic and feature‐based concept knowledge, respectively, but much remains unclear about how these areas contribute to combinatory language processing. Using magnetoencephalography, we contrasted source‐localized responses to modifier‐noun phrases involving thematic relations versus feature modifications, while also examining how lower‐level orthographic processing fed composition. Participants completed three procedures examining responses to letter‐strings, adjective‐noun phrases, and noun–noun combinations that varied the semantic relations between words. We found that sections of the left anterior temporal lobe, posterior temporal lobe, and cortex surrounding the angular gyrus were all engaged in the minimal composition of adjective‐noun phrases, a more distributed network than in most prior studies of minimal composition. Of these regions, only the left posterior temporal lobe was additionally sensitive to implicit thematic relations between composing words, suggesting that it houses a specialized relational processing component in a wider composition network. We additionally identified a left occipitotemporal progression from orthographic to lexical processing, feeding ventral anterior areas engaged in the combination of word meanings. Finally, by examining source signal leakage, we characterized the degree to which these responses could be distinguished from one another using source estimation.

          Abstract

          Language comprehension requires the recognition of individual words and the combination of their meanings to yield complex concepts or interpretations. Here, using magnetoencephalography, we provide evidence that a distributed network of left hemisphere areas, including superior sections of the anterior and superior temporal lobe, cortex around the angular gyrus, and anterior sections of the fusiform gyrus, all contribute to the combination of word meanings in reading, in minimal phrases (e.g., red + boat). Within this network, the left posterior temporal lobe appears to be specialized for processing relational knowledge that is relevant to the ongoing combination of words.

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

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            An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest.

            In this study, we have assessed the validity and reliability of an automated labeling system that we have developed for subdividing the human cerebral cortex on magnetic resonance images into gyral based regions of interest (ROIs). Using a dataset of 40 MRI scans we manually identified 34 cortical ROIs in each of the individual hemispheres. This information was then encoded in the form of an atlas that was utilized to automatically label ROIs. To examine the validity, as well as the intra- and inter-rater reliability of the automated system, we used both intraclass correlation coefficients (ICC), and a new method known as mean distance maps, to assess the degree of mismatch between the manual and the automated sets of ROIs. When compared with the manual ROIs, the automated ROIs were highly accurate, with an average ICC of 0.835 across all of the ROIs, and a mean distance error of less than 1 mm. Intra- and inter-rater comparisons yielded little to no difference between the sets of ROIs. These findings suggest that the automated method we have developed for subdividing the human cerebral cortex into standard gyral-based neuroanatomical regions is both anatomically valid and reliable. This method may be useful for both morphometric and functional studies of the cerebral cortex as well as for clinical investigations aimed at tracking the evolution of disease-induced changes over time, including clinical trials in which MRI-based measures are used to examine response to treatment.
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              Cortical surface-based analysis. I. Segmentation and surface reconstruction.

              Several properties of the cerebral cortex, including its columnar and laminar organization, as well as the topographic organization of cortical areas, can only be properly understood in the context of the intrinsic two-dimensional structure of the cortical surface. In order to study such cortical properties in humans, it is necessary to obtain an accurate and explicit representation of the cortical surface in individual subjects. Here we describe a set of automated procedures for obtaining accurate reconstructions of the cortical surface, which have been applied to data from more than 100 subjects, requiring little or no manual intervention. Automated routines for unfolding and flattening the cortical surface are described in a companion paper. These procedures allow for the routine use of cortical surface-based analysis and visualization methods in functional brain imaging. Copyright 1999 Academic Press.
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                Author and article information

                Contributors
                graham.flick@nyu.edu
                Journal
                Hum Brain Mapp
                Hum Brain Mapp
                10.1002/(ISSN)1097-0193
                HBM
                Human Brain Mapping
                John Wiley & Sons, Inc. (Hoboken, USA )
                1065-9471
                1097-0193
                17 August 2021
                15 October 2021
                : 42
                : 15 ( doiID: 10.1002/hbm.v42.15 )
                : 5130-5153
                Affiliations
                [ 1 ] Department of Psychology New York University New York New York USA
                [ 2 ] NYUAD Research Institute, New York University Abu Dhabi Abu Dhabi United Arab Emirates
                [ 3 ] Department of Linguistics New York University New York New York USA
                Author notes
                [*] [* ] Correspondence

                Graham Flick, Department of Psychology, New York University, New York, NY, USA.

                Email: graham.flick@ 123456nyu.edu

                Author information
                https://orcid.org/0000-0001-9183-4040
                Article
                HBM25608
                10.1002/hbm.25608
                8449097
                34402114
                0da458df-ede8-4792-8e71-92321e3c85bd
                © 2021 The Authors. Human Brain Mapping published by Wiley Periodicals LLC.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.

                History
                : 23 June 2021
                : 08 December 2020
                : 20 July 2021
                Page count
                Figures: 8, Tables: 0, Pages: 24, Words: 21329
                Funding
                Funded by: NYUAD Institute
                Award ID: G1001
                Categories
                Research Article
                Research Articles
                Custom metadata
                2.0
                October 15, 2021
                Converter:WILEY_ML3GV2_TO_JATSPMC version:6.0.7 mode:remove_FC converted:18.09.2021

                Neurology
                angular gyrus,anterior temporal lobe,composition,magnetoencephalography,posterior temporal lobe,semantics

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