Using Generative Artificial Intelligence to Classify Primary Progressive Aphasia from Connected Speech.

ABSTRACT: Neurodegenerative dementia syndromes, such as Primary Progressive Aphasias (PPA), have traditionally been diagnosed based in part on verbal and nonverbal cognitive profiles. Debate continues about whether PPA is best subdivided into three variants and also regarding the most distinctive linguistic features for classifying PPA variants. In this study, we harnessed the capabilities of artificial intelligence (AI) and natural language processing (NLP) to first perform unsupervised classification of concise, connected speech samples from 78 PPA patients. Large Language Models discerned three distinct PPA clusters, with 88.5% agreement with independent clinical diagnoses. Patterns of cortical atrophy of three data-driven clusters corresponded to the localization in the clinical diagnostic crite

SUBMITTER: Rezaii N 

PROVIDER: S-EPMC10793520 | biostudies-literature | 2023 Dec

REPOSITORIES: biostudies-literature