Aphasia assessment network (Ashaie & Castro, 2021)
figureposted on 2021-09-17, 19:07 authored by Sameer Ashaie, Nichol Castro
Purpose: Aphasia is a complex, neurogenic language disorder, with different aphasia syndromes hallmarked by impairment in fluency, auditory comprehension, naming, and/or repetition. Broad, standardized assessments of language domains and specific language and cognitive assessments provide a holistic impairment profile of a person with aphasia. While many recognize the correlations between assessments, there remains a need to continue understanding the complexity of relationships between assessments for the purpose of better characterization of language impairment profiles of persons with aphasia. We explored the use of network analysis to identify the complex relationships between a variety of language assessments.
Method: We computed a regularized partial correlation network and a directed acyclic graph network to estimate the relations between different aphasia assessments in 128 persons with aphasia.
Results: Western Aphasia Battery–Revised Comprehension subtest was the most central assessment in the aphasia symptom network, whereas the Philadelphia Naming Test had the most putative causal influence on other assessments. Additionally, the language assessments segregated into three empirically derived communities denoting phonology, semantics, and syntax. Furthermore, several assessments, including the Philadelphia Naming Test, belonged to multiple communities, suggesting that certain assessments may capture multiple language impairments.
Conclusion: We discuss the implications of using a network analysis approach for clinical intervention and driving forward novel questions in the field of clinical aphasiology.
Supplemental Material S1. Edge weights (solid line) and 95% confidence interval (gray bars) around edge weights. Narrower confidence intervals indicate more robust estimation of edge weights.
Supplemental Material S2. Edge weight different tests of the aphasia assessments. Significant differences among edges are shown in black. Gray boxes indicate no differences.
Supplemental Material S3. Centrality difference test of aphasia symptoms. Gray boxes indicate no difference between nodes, whereas black boxes indicate significant differences at the alpha .05 level.
Ashaie, S., & Castro, N. (2021). Exploring the complexity of aphasia with network analysis. Journal of Speech, Language, and Hearing Research. Advance online publication. https://doi.org/10.1044/2021_JSLHR-21-00157
Sameer Ashaie was funded by the Switzer Merit Research Fellowship #90SFGE0014 from the National Institute on Disability, Independent Living, and Rehabilitation Research.
aphasianetwork analysislanguagedisordersyndromecomplexityassessmentrelationshipcharacterizationimpairmentprofilespersons with aphasiaPWAcorrelationacyclic graphnetworkWestern Aphasia Battery-RevisedWAB-RcomprehensionPhiladelphia Naming TestphonologysemanticssyntaximplicationsclinicalinterventionaphasiologyLanguage