J Clin Neurol.  2014 Apr;10(2):75-83. 10.3988/jcn.2014.10.2.75.

Why Is It Difficult to Predict Language Impairment and Outcome in Patients with Aphasia after Stroke?

Affiliations
  • 1Stroke Research Group, Department of Brain Repair and Rehabilitation, UCL Institute of Neurology, National Hospital for Neurology and Neurosurgery, London, UK. charidimou.09@ucl.ac.uk
  • 2Department of Psychology, University of Crete, Rethymno, Greece.
  • 3Department of Neurology, Medical School, National and Kapodistrian University of Athens, Eginition Hospital, Athens, Greece.
  • 4Division of Psychology and Language Sciences, Department of Linguistics, University College London (UCL), London, UK.
  • 5Institute of Neurology, The National Hospital for Neurology and Neurosurgery, University College London (UCL), London, UK.

Abstract

One of the most devastating consequences of stroke is aphasia. Communication problems after stroke can severely impair the patient's quality of life and make even simple everyday tasks challenging. Despite intense research in the field of aphasiology, the type of language impairment has not yet been localized and correlated with brain damage, making it difficult to predict the language outcome for stroke patients with aphasia. Our primary objective is to present the available evidence that highlights the difficulties of predicting language impairment after stroke. The different levels of complexity involved in predicting the lesion site from language impairment and ultimately predicting the long-term outcome in stroke patients with aphasia were explored. Future directions and potential implications for research and clinical practice are highlighted.

Keyword

stroke; aphasia; language impairment

MeSH Terms

Aphasia*
Brain
Humans
Quality of Life
Stroke*

Cited by  3 articles

The Prognosis and Recovery of Aphasia Related to Stroke Lesion
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Ann Rehabil Med. 2016;40(5):786-793.    doi: 10.5535/arm.2016.40.5.786.

Changes in Language Function and Recovery-Related Prognostic Factors in First-Ever Left Hemispheric Ischemic Stroke
Kyung Ah Kim, Jung Soo Lee, Won Hyuk Chang, Deog Young Kim, Yong-Il Shin, Soo-Yeon Kim, Young Taek Kim, Sung Hyun Kang, Ji Yoo Choi, Yun-Hee Kim
Ann Rehabil Med. 2019;43(6):625-634.    doi: 10.5535/arm.2019.43.6.625.

Deep Learning Approach Using Diffusion-Weighted Imaging to Estimate the Severity of Aphasia in Stroke Patients
Soo Jeong, Eun-Jae Lee, Yong-Hwan Kim, Jin Cheol Woo, On-Wha Ryu, Miseon Kwon, Sun U Kwon, Jong S. Kim, Dong-Wha Kang
J Stroke. 2022;24(1):108-117.    doi: 10.5853/jos.2021.02061.


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