Literature DB >> 17356341

Neural networks essential for naming and word comprehension.

Melissa Newhart1, Lynda Ken, Jonathan T Kleinman, Jennifer Heidler-Gary, Argye E Hillis.   

Abstract

Lesion/deficit association studies of aphasia commonly focus on one brain region as primarily responsible for a particular language deficit. However, functional imaging and some lesion studies indicate that multiple brain regions are likely necessary for any language task. We tested 156 acute stroke patients on basic language tasks (naming and spoken and written word comprehension) and magnetic resonance diffusion and perfusion imaging to determine the relative contributions of various brain regions to each task. Multivariate linear regression analysis indicated that the error rate on each task was best predicted by dysfunction in several perisylvian regions, with both common and distinct regions for the 3 tasks.

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Year:  2007        PMID: 17356341     DOI: 10.1097/WNN.0b013e31802dc4a7

Source DB:  PubMed          Journal:  Cogn Behav Neurol        ISSN: 1543-3633            Impact factor:   1.600


  25 in total

1.  Success of Anomia Treatment in Aphasia Is Associated With Preserved Architecture of Global and Left Temporal Lobe Structural Networks.

Authors:  Leonardo Bonilha; Ezequiel Gleichgerrcht; Travis Nesland; Chris Rorden; Julius Fridriksson
Journal:  Neurorehabil Neural Repair       Date:  2015-07-06       Impact factor: 3.919

2.  Can neuroimaging help aphasia researchers? Addressing generalizability, variability, and interpretability.

Authors:  Idan A Blank; Swathi Kiran; Evelina Fedorenko
Journal:  Cogn Neuropsychol       Date:  2017-11-30       Impact factor: 2.468

Review 3.  Brain regions essential for word comprehension: Drawing inferences from patients.

Authors:  Argye E Hillis; Christopher Rorden; Julius Fridriksson
Journal:  Ann Neurol       Date:  2017-06-02       Impact factor: 10.422

4.  Predicting language improvement in acute stroke patients presenting with aphasia: a multivariate logistic model using location-weighted atlas-based analysis of admission CT perfusion scans.

Authors:  S Payabvash; S Kamalian; S Fung; Y Wang; J Passanese; S Kamalian; L C S Souza; A Kemmling; G J Harris; E F Halpern; R G González; K L Furie; M H Lev
Journal:  AJNR Am J Neuroradiol       Date:  2010-05-20       Impact factor: 3.825

Review 5.  Predicting language outcome and recovery after stroke: the PLORAS system.

Authors:  Cathy J Price; Mohamed L Seghier; Alex P Leff
Journal:  Nat Rev Neurol       Date:  2010-03-09       Impact factor: 42.937

6.  Assessing the clinical effect of residual cortical disconnection after ischemic strokes.

Authors:  Leonardo Bonilha; Chris Rorden; Julius Fridriksson
Journal:  Stroke       Date:  2014-03-11       Impact factor: 7.914

Review 7.  Update in Aphasia Research.

Authors:  Donna C Tippett
Journal:  Curr Neurol Neurosci Rep       Date:  2015-08       Impact factor: 5.081

Review 8.  Neuroimaging in aphasia treatment research: quantifying brain lesions after stroke.

Authors:  Jenny Crinion; Audrey L Holland; David A Copland; Cynthia K Thompson; Argye E Hillis
Journal:  Neuroimage       Date:  2012-07-27       Impact factor: 6.556

9.  Auditory word comprehension impairment in acute stroke: relative contribution of phonemic versus semantic factors.

Authors:  Corianne Rogalsky; Eleanor Pitz; Argye E Hillis; Gregory Hickok
Journal:  Brain Lang       Date:  2008-09-26       Impact factor: 2.381

10.  Predicting recovery in acute poststroke aphasia.

Authors:  Argye E Hillis; Yuan Ye Beh; Rajani Sebastian; Bonnie Breining; Donna C Tippett; Amy Wright; Sadhvi Saxena; Chris Rorden; Leonardo Bonilha; Alexandra Basilakos; Grigori Yourganov; Julius Fridriksson
Journal:  Ann Neurol       Date:  2018-03-10       Impact factor: 10.422

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