Literature DB >> 25096274

Aphasia severity in chronic stroke patients: a combined disconnection in the dorsal and ventral language pathways.

Charlotte Rosso1, Patricia Vargas2, Romain Valabregue3, Céline Arbizu4, François Henry-Amar4, Anne Leger5, Stéphane Lehéricy6, Yves Samson7.   

Abstract

BACKGROUND: The contribution of lesion size and location in poststroke aphasia is debated, especially the extent to which aphasia severity is affected by damage to specific white matter areas.
OBJECTIVE: To identify specific white matter areas critical for poststroke aphasia global severity and to determine whether injury to these areas had more impact on aphasia severity than the infarct volume.
METHODS: Twenty-three chronic poststroke aphasic patients were assessed with the Aphasia Rapid Test (ART) and the Boston Diagnosis Aphasia Examination (BDAE) global severity scales and underwent diffusion tensor and structural imaging. Voxel-based diffusion tensor imaging regression analysis was used to determine in which areas fractional anisotropy (FA) abnormalities were correlated with ART and BDAE severity scales. The relationships between aphasia severity, FA values, and infarct volumes were investigated using global and partial correlations.
RESULTS: We found a critical area associated with aphasia severity overlapping with the arcuate and the inferior fronto-occipital fasciculi, resulting in a combined disconnection of the dorsal and ventral pathways. ART scores were inversely correlated with FA values in this region, with greater severity present with lower FA values (correlation coefficient = -0.833, P < .0001). The proportion of variance explained by the FA value was higher than the proportion of variance explained by the infarct volume (R (2) = 68% vs 27%, P = .01). The impact of infarct volume on aphasia severity disappeared when damage to this critical white matter area was taken into account (P = .38).
CONCLUSION: The assessment of the integrity of this region may potentially have a clinical impact in neurorehabilitation and acute decision making.
© The Author(s) 2014.

Entities:  

Keywords:  aphasia; diffusion tensor imaging; stroke

Mesh:

Year:  2014        PMID: 25096274     DOI: 10.1177/1545968314543926

Source DB:  PubMed          Journal:  Neurorehabil Neural Repair        ISSN: 1545-9683            Impact factor:   3.919


  11 in total

1.  Leukoaraiosis is independently associated with naming outcome in poststroke aphasia.

Authors:  Amy Wright; Donna Tippett; Sadhvi Saxena; Rajani Sebastian; Bonnie Breining; Andreia Faria; Argye E Hillis
Journal:  Neurology       Date:  2018-07-06       Impact factor: 9.910

Review 2.  Contributions of Neuroimaging to Understanding Language Deficits in Acute Stroke.

Authors:  Rajani Sebastian; Bonnie L Breining
Journal:  Semin Speech Lang       Date:  2018-01-22       Impact factor: 1.761

Review 3.  Correlations between Dual-Pathway White Matter Alterations and Language Impairment in Patients with Aphasia: A Systematic Review and Meta-analysis.

Authors:  Jie Zhang; Shuchang Zhong; Liang Zhou; Yamei Yu; Xufei Tan; Min Wu; Peng Sun; Wei Zhang; Juebao Li; Ruidong Cheng; Yanfei Wu; Yanmei Yu; Xiangming Ye; Benyan Luo
Journal:  Neuropsychol Rev       Date:  2021-03-03       Impact factor: 7.444

4.  The utility of lesion classification in predicting language and treatment outcomes in chronic stroke-induced aphasia.

Authors:  Erin L Meier; Jeffrey P Johnson; Yue Pan; Swathi Kiran
Journal:  Brain Imaging Behav       Date:  2019-12       Impact factor: 3.978

5.  The role of microstructural integrity of major language pathways in narrative speech in the first year after stroke.

Authors:  Zafer Keser; Erin L Meier; Melissa D Stockbridge; Argye E Hillis
Journal:  J Stroke Cerebrovasc Dis       Date:  2020-06-29       Impact factor: 2.136

6.  Multifunctional Roles of the Ventral Stream in Language Models: Advanced Segmental Quantification in Post-Stroke Aphasic Patients.

Authors:  Jie Zhang; Xuehu Wei; Sangma Xie; Zhen Zhou; Desheng Shang; Renjie Ji; Yamei Yu; Fangping He; Yue Du; Xiangming Ye; Benyan Luo
Journal:  Front Neurol       Date:  2018-02-27       Impact factor: 4.003

7.  Multivariate prediction of functional outcome using lesion topography characterized by acute diffusion tensor imaging.

Authors:  Eric Moulton; Romain Valabregue; Stéphane Lehéricy; Yves Samson; Charlotte Rosso
Journal:  Neuroimage Clin       Date:  2019-04-10       Impact factor: 4.881

8.  The Functional Reorganization of Language Network Modules in Glioma Patients: New Insights From Resting State fMRI Study.

Authors:  Lu Jin; Chuzhong Li; Yazhuo Zhang; Taoyang Yuan; Jianyou Ying; Zhentao Zuo; Songbai Gui
Journal:  Front Oncol       Date:  2021-02-26       Impact factor: 6.244

9.  Prediction of Aphasia Severity in Patients with Stroke Using Diffusion Tensor Imaging.

Authors:  Jin-Kook Lee; Myoung-Hwan Ko; Sung-Hee Park; Gi-Wook Kim
Journal:  Brain Sci       Date:  2021-02-27

10.  Vocal music listening enhances post-stroke language network reorganization.

Authors:  Aleksi J Sihvonen; Pablo Ripollés; Vera Leo; Jani Saunavaara; Riitta Parkkola; Antoni Rodríguez-Fornells; Seppo Soinila; Teppo Särkämö
Journal:  eNeuro       Date:  2021-06-17
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