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Finding the right words in connected speech: An examination of word-finding difficulties in persons with multiple
Siri De Geer1, Lena Hartelius1, Joana Kristensson2
1Speech and Language Pathology Unit, Department of Health and Rehabilitation, Institute of Neuroscience and Physiology, Sahlgrenska Academy at the University of Gothenburg, Sweden; Medical Unit for Speech and Language Pathology, Skaraborgs sjukhus, Skövde, Sweden.
Abstract:
Self-reported word-finding difficulties are common in people with multiple sclerosis (PwMS). A lack of suitable methods for assessing these sometimes-subtle word-finding difficulties in PwMS has been highlighted. The aim of this study was to investigate how word-finding difficulties can be detected and how they manifest themselves in connected speech in PwMS compared to non-brain-damaged (NBD) controls. Twenty-seven PwMS with self-reported anomia and 23 NBD controls performed a video-retelling task which was evaluated by (i) counting the number and types of indicators of word-finding difficulties, (ii) main-concept analysis (MCA), and (iii) correct-information-unit (CIU) analysis. Additionally, correlations between word-finding ability in connected speech, picture-naming ability, verbal fluency and demographic and disease-related factors were explored. Content analysis of connected speech proved to be successful in confirming self-perceived difficulties. In line with their own perceptions, word-finding difficulties were significantly more frequent in the MS group than in the NBD group (U = 144, p < .001). The overall distribution of WFD types differed significantly between groups, χ²(13) = 76.21, p < .001. In particular, the MS group had significantly more pauses and lower speech rate (U = 89, p < .001). In the MS group, a high frequency of indicators of word-finding difficulties was related to low MCA and CIU scores and to a low score on a phonemic verbal-fluency test, but no correlations were found between word-finding difficulties on the one hand and age, years of education, or disease-related factors such as MS type, disease duration, or Expanded Disability Status Scale (EDSS) score on the other.
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