Modified Semantic Feature Analysis for the Anomia and Dysgraphia: a Case Study in Chinese

EasyChair Preprint 6438

Abstract

Semantic Feature Analysis (SFA) is an intervention that aims to improve the naming performance of neurogenic patients with anomia using a structured framework that guides the patients to analyze the semantic features of the naming targets. A recent single-case study (Tam & Lau, 2019) has reported evidence that SFA, modified with the use of an unstructured odd man out task, was also effective in improving the naming performance of a patient with anomia after surgical intervention of atrioventricular malformation. The improvement was attributed to the procedures of the odd man out task which encouraged detailed comparison of distinctive semantic features that facilitated semantic processing. 

The current study extended the findings of Tam & Lau (2019) that the modified SFA is also effective in promoting the naming performance of neurogenic patients with anomia resulted from TBI. The patient’s reduction in semantic errors in the written naming performance after the treatment also supported the importance of the lexical-semantic route of writing in Chinese (e.g. Lau, 2020). Theoretical and clinical implications as well as specific adaptations we applied to accommodate the cognitive diversities associate with TBI will be discussed.

Keyphrases: Anomia, Dysgraphia, aphasia, semantics, treatment

@booklet{EasyChair:6438,
  author    = {Olivia Ho Yi Yeung and Edwina Hung and Dustin Kai Yan Lau},
  title     = {Modified Semantic Feature Analysis for the Anomia and Dysgraphia: a Case Study in Chinese},
  howpublished = {EasyChair Preprint 6438},
  year      = {EasyChair, 2021}}