Data-driven neuroanatomical subtypes of primary progressive aphasia - Takeaways - MDSpire

Data-driven neuroanatomical subtypes of primary progressive aphasia

  • By

  • Beatrice Taylor

  • Martina Bocchetta

  • Cameron Shand

  • Emily G Todd

  • Anthipa Chokesuwattanaskul

  • Sebastian J Crutch

  • Jason D Warren

  • Jonathan D Rohrer

  • Chris J D Hardy

  • Neil P Oxtoby

  • October 7, 2024

  • 0 min

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  • 1

    The study identified four neuroanatomical subtypes of primary progressive aphasia using machine learning on MRI data from 270 participants.

  • 2

    Subtype S1 correlated strongly with the semantic variant, while S2, S3, and S4 showed mixed associations with non-fluent/agrammatic and logopenic variants.

  • 3

    At follow-up, subtype assignment was stable for 84% of patients, and stage assignment was stable for 91.9% of patients.

  • 4

    The findings suggest that distinct neuroanatomical phenotypes exist within primary progressive aphasia, but they are particularly noisy for non-fluent/agrammatic and logopenic variants.

  • 5

    Understanding these neuroanatomical profiles has potential implications for clinical decision support in managing primary progressive aphasia.

Original Source(s)

Data-driven neuroanatomical subtypes of primary progressive aphasia

  • by Beatrice Taylor, Martina Bocchetta, Cameron Shand, Emily G Todd, Anthipa Chokesuwattanaskul, Sebastian J Crutch, Jason D Warren, Jonathan D Rohrer, Chris J D Hardy, Neil P Oxtoby

  • October 7, 2024

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