Literature DB >> 25888529

Factors predicting post-stroke aphasia recovery.

Musa Mamman Watila1, Salisu Abdullahi Balarabe2.   

Abstract

BACKGROUND: Aphasia is an important stroke sequel that impacts negatively on the HQoL of stroke patients. Although a number of stroke patients with aphasia will have good functional recovery, many are left with language deficits.
METHOD: Papers were identified through PubMed and MEDLINE search, with keywords such as: 'stroke', 'aphasia', 'post-stroke aphasia', 'factors that predict aphasia recovery', 'aphasia outcomes' and 'aphasia prognosis'.
RESULTS: The most important factors that determine recovery are the lesion location and size, aphasia type and severity and to some extent the nature of early haemodynamic response, and treatment received. Anagraphic factors like gender, age, handedness and education have not been found to be robust predictors of recovery.
CONCLUSIONS: Predicting post-stroke aphasia recovery is difficult, because of the interplay between lesion, anagraphic, and treatment-related factors, in addition to the role of neuroplasticity.
Copyright © 2015 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Aphasia; Language; Neuroplasticity; Predictors; Recovery; Stroke

Mesh:

Year:  2015        PMID: 25888529     DOI: 10.1016/j.jns.2015.03.020

Source DB:  PubMed          Journal:  J Neurol Sci        ISSN: 0022-510X            Impact factor:   3.181


  43 in total

1.  Quality of life in aphasic patients 1 year after a first stroke.

Authors:  Michèle Koleck; Kamel Gana; Claire Lucot; Bénédicte Darrigrand; Jean-Michel Mazaux; Bertrand Glize
Journal:  Qual Life Res       Date:  2016-07-12       Impact factor: 4.147

Review 2.  Infarct topography and functional outcomes.

Authors:  Mark R Etherton; Natalia S Rost; Ona Wu
Journal:  J Cereb Blood Flow Metab       Date:  2017-03-27       Impact factor: 6.200

Review 3.  [New aspects of neurorehabilitation: motor and language].

Authors:  J Liepert; C Breitenstein
Journal:  Nervenarzt       Date:  2016-12       Impact factor: 1.214

4.  Pre-treatment graph measures of a functional semantic network are associated with naming therapy outcomes in chronic aphasia.

Authors:  Jeffrey P Johnson; Erin L Meier; Yue Pan; Swathi Kiran
Journal:  Brain Lang       Date:  2020-06-05       Impact factor: 2.381

5.  Semantic memory for objects, actions, and events: A novel test of event-related conceptual semantic knowledge.

Authors:  Haley C Dresang; Michael Walsh Dickey; Tessa C Warren
Journal:  Cogn Neuropsychol       Date:  2019-08-26       Impact factor: 2.468

6.  Post-stroke Complications and Mortality in Burkinabè Hospitals: Relationships with Deglutition Disorders and Nutritional Status.

Authors:  Jeoffray Diendéré; Athanase Millogo; Fayemendy Philippe; Jean Kaboré; Christian Napon; Anselme Dabilgou; Marie-Paule Boncoeur-Martel; Pierre-Marie Preux; Jean-Yves Salle; Jean-Claude Desport; Pierre Jésus
Journal:  Dysphagia       Date:  2020-04-17       Impact factor: 3.438

7.  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

Review 8.  Language recovery following stroke.

Authors:  Adam Gerstenecker; Ronald M Lazar
Journal:  Clin Neuropsychol       Date:  2019-01-30       Impact factor: 3.535

9.  Aphasia outcome: the interactions between initial severity, lesion size and location.

Authors:  Sarah Benghanem; Charlotte Rosso; Céline Arbizu; Eric Moulton; Didier Dormont; Anne Leger; Christine Pires; Yves Samson
Journal:  J Neurol       Date:  2019-02-28       Impact factor: 4.849

Review 10.  Ten problems and solutions when predicting individual outcome from lesion site after stroke.

Authors:  Cathy J Price; Thomas M Hope; Mohamed L Seghier
Journal:  Neuroimage       Date:  2016-08-05       Impact factor: 6.556

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