Introduction: Primary Progressive Aphasia (PPA) is a neurodegenerative disease characterized by linguistic impairment. The two main clinical subtypes are semantic (svPPA) and non-fluent/agrammatic (nfvPPA) variants. Diagnosing and classifying PPA patients represents a complex challenge that requires the integration of multimodal information, including clinical, biological, and radiological features. Structural neuroimaging can play a crucial role in aiding the differential diagnosis of PPA and constructing diagnostic support systems.
Methods: In this study, we conducted a white matter texture analysis on T1-weighted images, including 56 patients with PPA (31 svPPA and 25 nfvPPA), and 53 age- and sex-matched controls. We trained a tree-based algorithm over combined clinical/radiomics measures and used Shapley Additive Explanations (SHAP) model to extract the greater impactful measures in distinguishing svPPA and nfvPPA patients from controls and each other.
Results: Radiomics-integrated classification models demonstrated an accuracy of 95% in distinguishing svPPA patients from controls and of 93.7% in distinguishing svPPA from nfvPPA. An accuracy of 93.7% was observed in differentiating nfvPPA patients from controls. Moreover, Shapley values showed the strong involvement of the white matter near left entorhinal cortex in patients classification models.
Discussion: Our study provides new evidence for the usefulness of radiomics features in classifying patients with svPPA and nfvPPA, demonstrating the effectiveness of an explainable machine learning approach in extracting the most impactful features for assessing PPA.
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http://dx.doi.org/10.3389/fnsys.2024.1324437 | DOI Listing |
Alzheimers Dement
December 2024
Dementia Research Centre, Queen Square Institute of Neurology, University College London, London, United Kingdom.
Background: Primary Progressive Aphasia (PPA) is a neurodegenerative disorder primarily affecting language abilities, with clinical variants (nonfluent/agrammatic variant [nfvPPA], semantic variant [svPPA], logopenic variant [lvPPA], and mixed-PPA [mPPA]) categorized based on linguistic features. This study aims to compare PPA cohorts of native speakers of two different languages: English (an analytic language with deep orthography) and Italian (a synthetic language with shallow orthography).
Methods: We considered 166 English participants (70 nfvPPA, 45 svPPA, 42 lvPPA, 9 mPPA) and 106 Italian participants (14 nfvPPA, 20 svPPA, 42 lvPPA, 31 mPPA).
Alzheimers Dement
December 2024
Clinique Interdisciplinaire de Mémoire, CHU de Québec-Université Laval, Quebec, QC, Canada.
Background: Patients with Primary Progressive Aphasias (PPAs) almost systematically inquire about the longitudinal evolution of their disease in clinics but very little research exists on the issue.
Method: We studied 82 PPA patients from the Research Chair on PPA - Fondation de la Famille Lemaire Cohort over a 10-year span (42 logopenic, 21 non-fluent/agrammatic and 19 semantic PPAs) and collected data from 5 domains (language, cognition, motor, psychiatric, functional) at 5 time points from onset to death. Logistical regression analyses and repeated measures ANOVAs were conducted to delineate the longitudinal profile of each variant PPA.
Alzheimers Dement
December 2024
Memory and Aging Center, UCSF Weill Institute for Neurosciences, San Francisco, CA, USA.
Background: The ALLFTD (ARTFL-LEFFTDS Longitudinal Frontotemporal Lobar Degeneration) study is an NIH-funded effort to prepare for clinical trials in sporadic (s-FTLD) and familial (f-FTLD) FTLD syndromes by characterizing cohorts, developing new clinical trial outcome measures, and evaluating disease progression. To understand disease trajectories in the context of potential preventative or disease-modifying therapeutic agents, comprehensive evaluation across multiple time-points is crucial.
Method: ALLFTD evaluates participants with FTLD spectrum disorders (bvFTD, svPPA, nfvPPA, FTD-ALS, CBS, PSP), with strong family histories of FTLD, or known FTLD-associated genetic variants within the family.
Sci Rep
December 2024
Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, University College London, 1st Floor, 8-11 Queen Square, London, WC1N 3AR, UK.
Previous research suggests that emotional prosody perception is impaired in neurodegenerative diseases like Alzheimer's disease (AD) and primary progressive aphasia (PPA). However, no previous research has investigated emotional prosody perception in these diseases under non-ideal listening conditions. We recruited 18 patients with AD, and 31 with PPA (nine logopenic (lvPPA); 11 nonfluent/agrammatic (nfvPPA) and 11 semantic (svPPA)), together with 24 healthy age-matched individuals.
View Article and Find Full Text PDFAphasiology
March 2024
Moss Rehabilitation Research Institute, 50 Township Line Rd, Elkins Park, PA 19027.
Background: Primary progressive aphasia (PPA) is a neurodegenerative syndrome characterized by progressive language deficits. The main variants of PPA -semantic (svPPA), logopenic (lvPPA), and nonfluent (nfvPPA)- can be challenging to distinguish. Limb apraxia often co-occurs with PPA, but it is unclear whether PPA variants are associated with different gesture deficits.
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