Literature DB >> 34522884

Two types of phonological reading impairment in stroke aphasia.

Jonathan Vivian Dickens1,2,3, Andrew T DeMarco1,2,3,4, Candace M van der Stelt1,2, Sarah F Snider1,3, Elizabeth H Lacey1,2, John D Medaglia5,6, Rhonda B Friedman1,3, Peter E Turkeltaub1,2,3,4,7.   

Abstract

Alexia is common in the context of aphasia. It is widely agreed that damage to phonological and semantic systems not specific to reading causes co-morbid alexia and aphasia. Studies of alexia to date have only examined phonology and semantics as singular processes or axes of impairment, typically in the context of stereotyped alexia syndromes. However, phonology, in particular, is known to rely on subprocesses, including sensory-phonological processing, motor-phonological processing, and sensory-motor integration. Moreover, many people with stroke aphasia demonstrate mild or mixed patterns of reading impairment that do not fit neatly with one syndrome. This cross-sectional study tested whether the hallmark symptom of phonological reading impairment, the lexicality effect, emerges from damage to a specific subprocess of phonology in stroke patients not selected for alexia syndromes. Participants were 30 subjects with left-hemispheric stroke and 37 age- and education-matched controls. A logistic mixed-effects model tested whether post-stroke impairments in sensory phonology, motor phonology, or sensory-motor integration modulated the effect of item lexicality on patient accuracy in reading aloud. Support vector regression voxel-based lesion-symptom mapping localized brain regions necessary for reading and non-orthographic phonological processing. Additionally, a novel support vector regression structural connectome-symptom mapping method identified the contribution of both lesioned and spared but disconnected, brain regions to reading accuracy and non-orthographic phonological processing. Specifically, we derived whole-brain structural connectomes using constrained spherical deconvolution-based probabilistic tractography and identified lesioned connections based on comparisons between patients and controls. Logistic mixed-effects regression revealed that only greater motor-phonological impairment related to lower accuracy reading aloud pseudowords versus words. Impaired sensory-motor integration was related to lower overall accuracy in reading aloud. No relationship was identified between sensory-phonological impairment and reading accuracy. Voxel-based and structural connectome lesion-symptom mapping revealed that lesioned and disconnected left ventral precentral gyrus related to both greater motor-phonological impairment and lower sublexical reading accuracy. In contrast, lesioned and disconnected left temporoparietal cortex is related to both impaired sensory-motor integration and reduced overall reading accuracy. These results clarify that at least two dissociable phonological processes contribute to the pattern of reading impairment in aphasia. First, impaired sensory-motor integration, caused by lesions disrupting the left temporoparietal cortex and its structural connections, non-selectively reduces accuracy in reading aloud. Second, impaired motor-phonological processing, caused at least partially by lesions disrupting left ventral premotor cortex and structural connections, selectively reduces sublexical reading accuracy. These results motivate a revised cognitive model of reading aloud that incorporates a sensory-motor phonological circuit.
© The Author(s) (2021). Published by Oxford University Press on behalf of the Guarantors of Brain.

Entities:  

Keywords:  alexia; aphasia; lesion-symptom mapping; stroke; structural connectivity

Year:  2021        PMID: 34522884      PMCID: PMC8432944          DOI: 10.1093/braincomms/fcab194

Source DB:  PubMed          Journal:  Brain Commun        ISSN: 2632-1297


  93 in total

Review 1.  Computational neuroanatomy of speech production.

Authors:  Gregory Hickok
Journal:  Nat Rev Neurosci       Date:  2012-01-05       Impact factor: 34.870

Review 2.  The cortical organization of speech processing.

Authors:  Gregory Hickok; David Poeppel
Journal:  Nat Rev Neurosci       Date:  2007-04-13       Impact factor: 34.870

3.  Power in Voxel-based lesion-symptom mapping.

Authors:  Daniel Y Kimberg; H Branch Coslett; Myrna F Schwartz
Journal:  J Cogn Neurosci       Date:  2007-07       Impact factor: 3.225

Review 4.  A review and synthesis of the first 20 years of PET and fMRI studies of heard speech, spoken language and reading.

Authors:  Cathy J Price
Journal:  Neuroimage       Date:  2012-05-12       Impact factor: 6.556

5.  Self-reported inner speech relates to phonological retrieval ability in people with aphasia.

Authors:  Mackenzie E Fama; Mary P Henderson; Sarah F Snider; William Hayward; Rhonda B Friedman; Peter E Turkeltaub
Journal:  Conscious Cogn       Date:  2019-03-25

6.  Can cognitive models explain brain activation during word and pseudoword reading? A meta-analysis of 36 neuroimaging studies.

Authors:  J S H Taylor; Kathleen Rastle; Matthew H Davis
Journal:  Psychol Bull       Date:  2012-10-08       Impact factor: 17.737

7.  Linear mixed-effects models and the analysis of nonindependent data: A unified framework to analyze categorical and continuous independent variables that vary within-subjects and/or within-items.

Authors:  Markus Brauer; John J Curtin
Journal:  Psychol Methods       Date:  2017-11-27

Review 8.  Conduction aphasia, sensory-motor integration, and phonological short-term memory - an aggregate analysis of lesion and fMRI data.

Authors:  Bradley R Buchsbaum; Juliana Baldo; Kayoko Okada; Karen F Berman; Nina Dronkers; Mark D'Esposito; Gregory Hickok
Journal:  Brain Lang       Date:  2011-01-21       Impact factor: 2.381

Review 9.  A review of conduction aphasia.

Authors:  Alfredo Ardila
Journal:  Curr Neurol Neurosci Rep       Date:  2010-11       Impact factor: 5.081

10.  Phonological and surface dyslexia in individuals with brain tumors: Performance pre-, intra-, immediately post-surgery and at follow-up.

Authors:  Barbara Tomasino; Tamara Ius; Miran Skrap; Claudio Luzzatti
Journal:  Hum Brain Mapp       Date:  2020-08-28       Impact factor: 5.038

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  1 in total

1.  The organization of individually mapped structural and functional semantic networks in aging adults.

Authors:  W Tyler Ketchabaw; Andrew T DeMarco; Sachi Paul; Elizabeth Dvorak; Candace van der Stelt; Peter E Turkeltaub
Journal:  Brain Struct Funct       Date:  2022-08-04       Impact factor: 3.748

  1 in total

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