Stroke disconnectome decodes reading networks
Cognitive functional neuroimaging has been around for over 30 years and has shed light on the brain areas relevant for reading. However, new methodological developments enable mapping the interaction between functional imaging and the underlying white matter networks. In this study, we used such a n...
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Published in | Brain Structure and Function Vol. 227; no. 9; pp. 2897 - 2908 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
Published |
Berlin/Heidelberg
Springer Berlin Heidelberg
01.12.2022
Springer Nature B.V |
Subjects | |
Online Access | Get full text |
ISSN | 1863-2653 1863-2661 1863-2661 0340-2061 |
DOI | 10.1007/s00429-022-02575-x |
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Abstract | Cognitive functional neuroimaging has been around for over 30 years and has shed light on the brain areas relevant for reading. However, new methodological developments enable mapping the interaction between functional imaging and the underlying white matter networks. In this study, we used such a novel method, called the disconnectome, to decode the reading circuitry in the brain. We used the resulting disconnection patterns to predict a typical lesion that would lead to reading deficits after brain damage. Our results suggest that white matter connections critical for reading include fronto-parietal U-shaped fibres and the vertical occipital fasciculus (VOF). The lesion most predictive of a reading deficit would impinge on the left temporal, occipital, and inferior parietal gyri. This novel framework can systematically be applied to bridge the gap between the neuropathology of language and cognitive neuroscience. |
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AbstractList | Cognitive functional neuroimaging has been around for over 30 years and has shed light on the brain areas relevant for reading. However, new methodological developments enable mapping the interaction between functional imaging and the underlying white matter networks. In this study, we used such a novel method, called the disconnectome, to decode the reading circuitry in the brain. We used the resulting disconnection patterns to predict a typical lesion that would lead to reading deficits after brain damage. Our results suggest that white matter connections critical for reading include fronto-parietal U-shaped fibres and the vertical occipital fasciculus (VOF). The lesion most predictive of a reading deficit would impinge on the left temporal, occipital, and inferior parietal gyri. This novel framework can systematically be applied to bridge the gap between the neuropathology of language and cognitive neuroscience. Cognitive functional neuroimaging has been around for over 30 years and has shed light on the brain areas relevant for reading. However, new methodological developments enable mapping the interaction between functional imaging and the underlying white matter networks. In this study, we used such a novel method, called the disconnectome, to decode the reading circuitry in the brain. We used the resulting disconnection patterns to predict a typical lesion that would lead to reading deficits after brain damage. Our results suggest that white matter connections critical for reading include fronto-parietal U-shaped fibres and the vertical occipital fasciculus (VOF). The lesion most predictive of a reading deficit would impinge on the left temporal, occipital, and inferior parietal gyri. This novel framework can systematically be applied to bridge the gap between the neuropathology of language and cognitive neuroscience. Cognitive functional neuroimaging has been around for over 30 years and has shed light on the brain areas relevant for reading. However, new methodological developments enable mapping the interaction between functional imaging and the underlying white matter networks. In this study, we used such a novel method, called the disconnectome, to decode the reading circuitry in the brain. We used the resulting disconnection patterns to predict a typical lesion that would lead to reading deficits after brain damage. Our results suggest that white matter connections critical for reading include fronto-parietal U-shaped fibres and the vertical occipital fasciculus (VOF). The lesion most predictive of a reading deficit would impinge on the left temporal, occipital, and inferior parietal gyri. This novel framework can systematically be applied to bridge the gap between the neuropathology of language and cognitive neuroscience.Cognitive functional neuroimaging has been around for over 30 years and has shed light on the brain areas relevant for reading. However, new methodological developments enable mapping the interaction between functional imaging and the underlying white matter networks. In this study, we used such a novel method, called the disconnectome, to decode the reading circuitry in the brain. We used the resulting disconnection patterns to predict a typical lesion that would lead to reading deficits after brain damage. Our results suggest that white matter connections critical for reading include fronto-parietal U-shaped fibres and the vertical occipital fasciculus (VOF). The lesion most predictive of a reading deficit would impinge on the left temporal, occipital, and inferior parietal gyri. This novel framework can systematically be applied to bridge the gap between the neuropathology of language and cognitive neuroscience. |
Author | Thiebaut de Schotten, Michel Nachev, Parashkev Forkel, Stephanie J. Hesling, Isabelle Labache, Loïc |
Author_xml | – sequence: 1 givenname: Stephanie J. orcidid: 0000-0003-0493-0283 surname: Forkel fullname: Forkel, Stephanie J. email: stephanie.forkel@gmail.com organization: Brain Connectivity and Behaviour Laboratory, Sorbonne Universities, Donders Centre for Cognition, Radboud University, Department of Neuroimaging, Centre for Neuroimaging Sciences, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, Department of Neurosurgery, Technical University of Munich School of Medicine – sequence: 2 givenname: Loïc surname: Labache fullname: Labache, Loïc organization: Department of Psychology, Yale University – sequence: 3 givenname: Parashkev surname: Nachev fullname: Nachev, Parashkev organization: UCL Queen Square Institute of Neurology, University College London – sequence: 4 givenname: Michel surname: Thiebaut de Schotten fullname: Thiebaut de Schotten, Michel organization: Brain Connectivity and Behaviour Laboratory, Sorbonne Universities, Groupe d’Imagerie Neurofonctionnelle, Institut des Maladies Neurodégénératives-UMR 5293, CNRS, CEA University of Bordeaux – sequence: 5 givenname: Isabelle surname: Hesling fullname: Hesling, Isabelle organization: Groupe d’Imagerie Neurofonctionnelle, Institut des Maladies Neurodégénératives-UMR 5293, CNRS, CEA University of Bordeaux |
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Keywords | fMRI Reading Stroke Language Disconnection Exner VOF |
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SubjectTerms | Biomedical and Life Sciences Biomedicine Brain damage Brain injury Brain mapping Cell Biology Cognitive ability Dyslexia Language Language thought relationship Linguistics Literacy Longitudinal studies Medical imaging Nervous system Neuroimaging Neurology Neurosciences Original Original Article Phonology Reading comprehension Stroke Substantia alba Written language |
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Title | Stroke disconnectome decodes reading networks |
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