Antoine Slegers, Geneviève Chafouleas, Maxime Montembeault, Christophe Bedetti, Ariane E Welch, Gil D Rabinovici, Philippe Langlais, Maria L Gorno-Tempini, Simona M Brambati
Cortex; a journal devoted to the study of the nervous system and behavior 2021 DecPositron emission tomography (PET) amyloid imaging has become an important part of the diagnostic workup for patients with primary progressive aphasia (PPA) and uncertain underlying pathology. Here, we employ a semi-automated analysis of connected speech (CS) with a twofold objective. First, to determine if quantitative CS features can help select primary progressive aphasia (PPA) patients with a higher probability of a positive PET amyloid imaging result. Second, to examine the relevant group differences from a clinical perspective. 117 CS samples from a well-characterised cohort of PPA patients who underwent PET amyloid imaging were collected. Expert consensus established PET amyloid status for each patient, and 40% of the sample was amyloid positive. Leave-one-out cross-validation yields 77% classification accuracy (sensitivity: 74%, specificity: 79%). Our results confirm the potential of CS analysis as a screening tool. Discriminant CS features from lexical, syntactic, pragmatic, and semantic domains are discussed. Copyright © 2021 Elsevier Ltd. All rights reserved.
Antoine Slegers, Geneviève Chafouleas, Maxime Montembeault, Christophe Bedetti, Ariane E Welch, Gil D Rabinovici, Philippe Langlais, Maria L Gorno-Tempini, Simona M Brambati. Connected speech markers of amyloid burden in primary progressive aphasia. Cortex; a journal devoted to the study of the nervous system and behavior. 2021 Dec;145:160-168
PMID: 34731686
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