Maria Varkanitsa1, Swathi Kiran1. 1. Aphasia Research Laboratory, Department of Speech, Language & Hearing Sciences, Sargent College of Health and Rehabilitation Sciences, Boston University, Boston, MA, USA.
Abstract
Purpose: This paper reviews several studies whose aim was to understand the nature of language recovery in chronic aphasia and identify predictors of how people may recover their language functions after a brain injury.Method: Several studies that mostly draw from data collected within the Centre for Neurobiology of Language Recovery were reviewed and categorised in four aspects of language impairment and recovery in aphasia: (a) neural markers for language impairment and recovery, (b) language and cognitive markers for language impairment and recovery, (c) effective treatments and (d) predictive modelling of treatment-induced rehabilitation.Result: Language impairment and recovery in stroke-induced aphasia is multi-factorial, including patient-specific and treatment-specific factors. A combination of these factors may help us predict treatment responsiveness even before treatment begins. Conclusion: Continued work on this topic will lead to a better understanding of the mechanisms that underly language impairment and treatment-induced recovery in aphasia, and, consequently, use this information to predict each person's recovery profile trajectory and provide optimal prescriptions regarding the type and dosage of treatment.
Purpose: This paper reviews several studies whose aim was to understand the nature of language recovery in chronic aphasia and identify predictors of how people may recover their language functions after a brain injury.Method: Several studies that mostly draw from data collected within the Centre for Neurobiology of Language Recovery were reviewed and categorised in four aspects of language impairment and recovery in aphasia: (a) neural markers for language impairment and recovery, (b) language and cognitive markers for language impairment and recovery, (c) effective treatments and (d) predictive modelling of treatment-induced rehabilitation.Result: Language impairment and recovery in stroke-induced aphasia is multi-factorial, including patient-specific and treatment-specific factors. A combination of these factors may help us predict treatment responsiveness even before treatment begins. Conclusion: Continued work on this topic will lead to a better understanding of the mechanisms that underly language impairment and treatment-induced recovery in aphasia, and, consequently, use this information to predict each person's recovery profile trajectory and provide optimal prescriptions regarding the type and dosage of treatment.
Entities:
Keywords:
aphasia; neuroimaging (anatomic and functional); recovery; rehabilitation; stroke
Authors: Anne Billot; Sha Lai; Maria Varkanitsa; Emily J Braun; Brenda Rapp; Todd B Parrish; James Higgins; Ajay S Kurani; David Caplan; Cynthia K Thompson; Prakash Ishwar; Margrit Betke; Swathi Kiran Journal: Stroke Date: 2022-01-26 Impact factor: 10.170
Authors: Adrian Wong; Alexander Y L Lau; Eugene Lo; Michael Tang; Zhaolu Wang; Wenyan Liu; Nicole Tanner; Natalie Chau; Lorraine Law; Lin Shi; Winnie C W Chu; Jie Yang; Yun-Yun Xiong; Bonnie Y K Lam; Lisa Au; Anne Y Y Chan; Yannie Soo; Thomas W H Leung; Lawrence K S Wong; Linda C W Lam; Vincent C T Mok Journal: PLoS One Date: 2016-07-25 Impact factor: 3.240