Journal
NEUROBIOLOGY OF AGING
Volume 120, Issue -, Pages 137-148Publisher
ELSEVIER SCIENCE INC
DOI: 10.1016/j.neurobiolaging.2022.09.001
Keywords
Canonical correlational analysis; Language; Qualitative scoring; Primary progressive aphasia; Working memory; FDG-PET
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This study investigates the relationship between qualitative errors in language tasks and brain metabolism in PPA patients. The results show that semantic, syntactic, and working memory errors are associated with specific regional metabolic changes. The findings suggest that different neural systems are involved in different subcomponents of working memory. The study also highlights the overlapping profiles of mixed PPA with different phenotypes in a qualitative multidimensional space.
Primary progressive aphasia (PPA) classification relies on profile characterization of quantitatively im-paired/spared performance in language tasks. In this study, we coextracted 8 qualitative types of errors in 67 PPA patients submitted to a comprehensive language assessment. Canonical correlation analysis was applied to simultaneously correlate qualitative errors and brain metabolism, collected with FDG-PET. Re-sults showed the contribution of semantic, syntactic and working memory errors associated with specific correlates of regional metabolic changes. Reduced metabolism in the left fusiform gyrus, anterior-middle and inferior-temporal gyri and middle-temporal pole correlated with an increase of semantic errors. Hy-pometabolism in the left inferior, middle, and superior frontal gyri, insula and right middle-occipital gyrus was related to syntactic errors. Higher metabolism in the bilateral pallidum, putamen, and left thalamus, as well as hypometabolism in the left angular and supramarginal gyri, inferior-parietal lobule, posterior-middle and inferior-temporal gyri and posterior cingulum predicted the increase of working memory errors. A relevant role of working memory subcomponents was associated with distinct neural systems. Patients' profiles are easily represented in a qualitative multidimensional space, in which mixed PPA overlapped with different phenotypes. (c) 2022 Published by Elsevier Inc.
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