Literature DB >> 29572061

Voxel-based lesion analysis of brain regions underlying reading and writing.

Juliana V Baldo1, Natalie Kacinik2, Carl Ludy3, Selvi Paulraj4, Amber Moncrief3, Vitória Piai5, Brian Curran3, And Turken3, Tim Herron3, Nina F Dronkers6.   

Abstract

The neural basis of reading and writing has been a source of inquiry as well as controversy in the neuroscience literature. Reading has been associated with both left posterior ventral temporal zones (termed the "visual word form area") as well as more dorsal zones, primarily in left parietal cortex. Writing has also been associated with left parietal cortex, as well as left sensorimotor cortex and prefrontal regions. Typically, the neural basis of reading and writing are examined in separate studies and/or rely on single case studies exhibiting specific deficits. Functional neuroimaging studies of reading and writing typically identify a large number of activated regions but do not necessarily identify the core, critical hubs. Last, due to constraints on the functional imaging environment, many previous studies have been limited to measuring the brain activity associated with single-word reading and writing, rather than sentence-level processing. In the current study, the brain correlates of reading and writing at both the single- and sentence-level were studied in a large sample of 111 individuals with a history of chronic stroke using voxel-based lesion symptom mapping (VLSM). VLSM provides a whole-brain, voxel-by-voxel statistical analysis of the role of distinct regions in a particular behavior by comparing performance of individuals with and without a lesion at every voxel. Rather than comparing individual cases or small groups with particular behavioral dissociations in reading and writing, VLSM allowed us to analyze data from a large, well-characterized sample of stroke patients exhibiting a wide range of reading and writing impairments. The VLSM analyses revealed that reading was associated with a critical left inferior temporo-occipital focus, while writing was primarily associated with the left supramarginal gyrus. Separate VLSM analyses of single-word versus sentence-level reading showed that sentence-level reading was uniquely associated with anterior to mid-portions of the middle and superior temporal gyri. Both single-word and sentence-level writing overlapped to a great extent in the left supramarginal gyrus, but sentence-level writing was associated with additional underlying white matter pathways such as the internal capsule. These findings suggest that critical aspects of reading and writing processes diverge, with reading relying critically on the ventral visual recognition stream and writing relying on a dorsal visuo-spatial-motor stream. Published by Elsevier Ltd.

Entities:  

Keywords:  Agraphia; Alexia; Aphasia; Inferior parietal cortex; Parietal lobe; Reading; Supramarginal gyrus; Temporal lobe; Writing

Mesh:

Year:  2018        PMID: 29572061      PMCID: PMC6648682          DOI: 10.1016/j.neuropsychologia.2018.03.021

Source DB:  PubMed          Journal:  Neuropsychologia        ISSN: 0028-3932            Impact factor:   3.139


  5 in total

1.  Stroke disconnectome decodes reading networks.

Authors:  Michel Thiebaut de Schotten; Isabelle Hesling; Stephanie J Forkel; Loïc Labache; Parashkev Nachev
Journal:  Brain Struct Funct       Date:  2022-10-03       Impact factor: 3.748

2.  Hemispheric Lateralization of Visuospatial Attention Is Independent of Language Production on Right-Handers: Evidence From Functional Near-Infrared Spectroscopy.

Authors:  Gaoding Jia; Guangfang Liu; Haijing Niu
Journal:  Front Neurol       Date:  2022-01-14       Impact factor: 4.003

3.  Handwriting Declines With Human Aging: A Machine Learning Study.

Authors:  Francesco Asci; Simone Scardapane; Alessandro Zampogna; Valentina D'Onofrio; Lucia Testa; Martina Patera; Marco Falletti; Luca Marsili; Antonio Suppa
Journal:  Front Aging Neurosci       Date:  2022-05-06       Impact factor: 5.750

4.  Post-stroke cognitive deficits rarely come alone: Handling co-morbidity in lesion-behaviour mapping.

Authors:  Christoph Sperber; Chloé Nolingberg; Hans-Otto Karnath
Journal:  Hum Brain Mapp       Date:  2019-11-29       Impact factor: 5.038

5.  An empirical comparison of univariate versus multivariate methods for the analysis of brain-behavior mapping.

Authors:  Maria V Ivanova; Timothy J Herron; Nina F Dronkers; Juliana V Baldo
Journal:  Hum Brain Mapp       Date:  2020-11-20       Impact factor: 5.399

  5 in total

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