Literature DB >> 30639272

Nonlinguistic Cognitive Factors Predict Treatment-Induced Recovery in Chronic Poststroke Aphasia.

Natalie Gilmore1, Erin L Meier2, Jeffrey P Johnson2, Swathi Kiran2.   

Abstract

OBJECTIVE: To determine if pretreatment nonlinguistic cognition predicted language treatment outcomes and if so, which specific nonlinguistic cognitive subskills predicted naming therapy outcomes.
DESIGN: Retrospective.
SETTING: Research clinic. PARTICIPANTS: Study 1 included data from 67 persons with aphasia who underwent language treatment and a pretreatment cognitive-linguistic assessment battery (N=67). Study 2 included data from 27 study 1 participants who completed additional pretreatment nonlinguistic cognitive assessments.
INTERVENTIONS: 120-minute sessions of sentence comprehension (n=26) or naming treatment (n=41) 2 times per week for up to 10-12 weeks. MAIN OUTCOME MEASURES: Proportion of potential maximal gain (PMG) (assessed immediately after treatment [10-12wk]; formula=mean posttreatment score-mean pretreatment score/total number of trained items-mean pretreatment score) and proportion of potential maximal gain maintained (PMGM) (assessed 12wk after posttreatment [22-24wk]; formula=mean maintenance score-mean pretreatment score/total number of trained items-mean pretreatment score) as outcome variables; and pretreatment assessment scores as predictor variables.
RESULTS: In study 1, 37% of participants demonstrated nonlinguistic cognitive deficits. Principal component analyses reduced assessment data to 2 components: linguistic and nonlinguistic cognition. Backward elimination regression revealed that higher linguistic and nonlinguistic cognitive function significantly predicted higher PMG after language therapy. In study 2, principal component analysis of only the nonlinguistic cognitive measures identified 3 components: executive function, verbal short-term memory, and visual short-term memory. Controlling for pretreatment apraxia of speech and auditory comprehension deficits, regression analyses revealed that higher executive function and visual short-term memory significantly predicted higher PMG and PMGM after naming therapy.
CONCLUSIONS: Pretreatment nonlinguistic cognitive function significantly influenced language treatment outcomes and maintenance of therapy gains.
Copyright © 2019 American Congress of Rehabilitation Medicine. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Aphasia; Cognition; Rehabilitation; Speech therapy

Mesh:

Year:  2019        PMID: 30639272      PMCID: PMC6599561          DOI: 10.1016/j.apmr.2018.12.024

Source DB:  PubMed          Journal:  Arch Phys Med Rehabil        ISSN: 0003-9993            Impact factor:   3.966


  18 in total

Review 1.  The use of standardised short-term and working memory tests in aphasia research: a systematic review.

Authors:  Laura Murray; Christos Salis; Nadine Martin; Jenny Dralle
Journal:  Neuropsychol Rehabil       Date:  2016-05-04       Impact factor: 2.868

2.  Cognitive deficits in post-stroke aphasia.

Authors:  Milena V Bonini; Márcia Radanovic
Journal:  Arq Neuropsiquiatr       Date:  2015-10       Impact factor: 1.420

3.  The Corsi Block-Tapping Task: standardization and normative data.

Authors:  R P Kessels; M J van Zandvoort; A Postma; L J Kappelle; E H de Haan
Journal:  Appl Neuropsychol       Date:  2000

4.  Between-session intra-individual variability in sustained, selective, and integrational non-linguistic attention in aphasia.

Authors:  Sarah Villard; Swathi Kiran
Journal:  Neuropsychologia       Date:  2014-11-23       Impact factor: 3.139

5.  Outcome of a one-month therapy intensive for chronic aphasia: variable individual responses.

Authors:  Chris Code; Alison Torney; Eleanor Gildea-Howardine; Klaus Willmes
Journal:  Semin Speech Lang       Date:  2010-03-10       Impact factor: 1.761

6.  Executive functions and aphasia treatment outcomes: data from an ortho-phonological cueing therapy for anomia in Chinese.

Authors:  Olivia Yeung; Sam-Po Law
Journal:  Int J Speech Lang Pathol       Date:  2010-12       Impact factor: 2.484

7.  Verbal and nonverbal memory impairment in aphasia.

Authors:  Christoph J G Lang; Andrea Quitz
Journal:  J Neurol       Date:  2012-01-19       Impact factor: 4.849

8.  The relationship between non-linguistic cognitive deficits and language recovery in patients with aphasia.

Authors:  Joanna Seniów; Marika Litwin; Marcin Leśniak
Journal:  J Neurol Sci       Date:  2009-03-06       Impact factor: 3.181

9.  Assessment of linguistic and verbal short-term memory components of language abilities in aphasia.

Authors:  Nadine Martin; Irene Minkina; Francine P Kohen; Michelene Kalinyak-Fliszar
Journal:  J Neurolinguistics       Date:  2018-11       Impact factor: 1.710

10.  Determining the Association between Language and Cognitive Tests in Poststroke Aphasia.

Authors:  Kylie J Wall; Toby B Cumming; David A Copland
Journal:  Front Neurol       Date:  2017-05-05       Impact factor: 4.003

View more
  14 in total

1.  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

2.  Exploring the Complexity of Aphasia With Network Analysis.

Authors:  Sameer Ashaie; Nichol Castro
Journal:  J Speech Lang Hear Res       Date:  2021-09-17       Impact factor: 2.674

Review 3.  Understanding, facilitating and predicting aphasia recovery after rehabilitation.

Authors:  Maria Varkanitsa; Swathi Kiran
Journal:  Int J Speech Lang Pathol       Date:  2022-05-23       Impact factor: 1.820

4.  Young Adults With Acquired Brain Injury Show Longitudinal Improvements in Cognition After Intensive Cognitive Rehabilitation.

Authors:  Natalie Gilmore; Daniel Mirman; Swathi Kiran
Journal:  J Speech Lang Hear Res       Date:  2022-03-15       Impact factor: 2.674

5.  White Matter Hyperintensities Predict Response to Language Treatment in Poststroke Aphasia.

Authors:  Maria Varkanitsa; Claudia Peñaloza; Andreas Charidimou; David Caplan; Swathi Kiran
Journal:  Neurorehabil Neural Repair       Date:  2020-09-13       Impact factor: 3.919

Review 6.  Current Approaches to the Treatment of Post-Stroke Aphasia.

Authors:  Julius Fridriksson; Argye Elizabeth Hillis
Journal:  J Stroke       Date:  2021-05-31       Impact factor: 6.967

Review 7.  The neural and neurocomputational bases of recovery from post-stroke aphasia.

Authors:  James D Stefaniak; Ajay D Halai; Matthew A Lambon Ralph
Journal:  Nat Rev Neurol       Date:  2019-11-26       Impact factor: 44.711

8.  Language Recovery after Brain Injury: A Structural Network Control Theory Study.

Authors:  Janina Wilmskoetter; Xiaosong He; Lorenzo Caciagli; Jens H Jensen; Barbara Marebwa; Kathryn A Davis; Julius Fridriksson; Alexandra Basilakos; Lorelei P Johnson; Chris Rorden; Danielle Bassett; Leonardo Bonilha
Journal:  J Neurosci       Date:  2021-12-06       Impact factor: 6.709

9.  Individualized response to semantic versus phonological aphasia therapies in stroke.

Authors:  Sigfus Kristinsson; Alexandra Basilakos; Jordan Elm; Leigh Ann Spell; Leonardo Bonilha; Chris Rorden; Dirk B den Ouden; Christy Cassarly; Souvik Sen; Argye Hillis; Gregory Hickok; Julius Fridriksson
Journal:  Brain Commun       Date:  2021-08-05

10.  Investigating Language and Domain-General Processing in Neurotypicals and Individuals With Aphasia - A Functional Near-Infrared Spectroscopy Pilot Study.

Authors:  Natalie Gilmore; Meryem Ayse Yücel; Xinge Li; David A Boas; Swathi Kiran
Journal:  Front Hum Neurosci       Date:  2021-09-17       Impact factor: 3.169

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.