Cited by 49Dementia and Cognitive Impairment ResearchNeurobiology of Language and BilingualismVoice and Speech Disorders

Quantification of motor speech impairment and its anatomic basis in primary progressive aphasia

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Cordella, Claire, Quimby, Megan, Touroutoglou, Alexandra, Brickhouse, Michael, Dickerson, Bradford C., Green, Jordan R.·2019·Neurology

Abstract

OBJECTIVE: To evaluate whether a quantitative speech measure is effective in identifying and monitoring motor speech impairment (MSI) in patients with primary progressive aphasia (PPA) and to investigate the neuroanatomical basis of MSI in PPA. METHODS: Sixty-four patients with PPA were evaluated at baseline, with a subset (n = 39) evaluated longitudinally. Articulation rate (AR), a quantitative measure derived from spontaneous speech, was measured at each time point. MRI was collected at baseline. Differences in baseline AR were assessed across PPA subtypes, separated by severity level. Linear mixed-effects models were conducted to assess groups differences across PPA subtypes in rate of decline in AR over a 1-year period. Cortical thickness measured from baseline MRIs was used to test hypotheses about the relationship between cortical atrophy and MSI. RESULTS: Baseline AR was reduced for patients with nonfluent variant PPA (nfvPPA) compared to other PPA subtypes and controls, even in mild stages of disease. Longitudinal results showed a greater rate of decline in AR for the nfvPPA group over 1 year compared to the logopenic and semantic variant subgroups. Reduced baseline AR was associated with cortical atrophy in left-hemisphere premotor and supplementary motor cortices. CONCLUSIONS: The AR measure is an effective quantitative index of MSI that detects MSI in mild disease stages and tracks decline in MSI longitudinally. The AR measure also demonstrates anatomic localization to motor speech-specific cortical regions. Our findings suggest that this quantitative measure of MSI might have utility in diagnostic evaluation and monitoring of MSI in PPA.

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  • Across primary progressive aphasia variants, ASLA markers capture syndrome-specific patterns that predict underlying neuropathology years before death and correlate with variant-specific atrophy, even longitudinally.

    “Across primary progressive aphasia variants, ASLA markers capture syndromespecific patterns 49-53 that predict underlying neuropathology years before death 7 and correlate with variant-specific atrophy, 53-56 even longitudinally. 57”

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Authors
Cordella, C., Quimby, M., Touroutoglou, A., Brickhouse, M., Dickerson, B. C., & Green, J. R.
Affiliations
Harvard University (US)
Corresponding author
Green, Jordan R.
Venue
Neurology
Published
2019-04-23
Volume
92
Issue
17
Pages
e1992-e2004
ISSN
  • 0028-3878 (ISSN-L)
  • 1526-632X
OpenAlex
W2932996615
Cited by
49
References
52
Citations by year
2026: 2 · 2025: 7 · 2024: 9 · 2023: 6 · 2022: 8 · 2021: 12 · 2020: 5
FWCI
4.97
Type
journal article
Language
en
Open access
Licence
cc-by-nc-nd
Locations
  • Neurology (publishedVersion, cc-by-nc-nd)
  • PubMed Central (publishedVersion, cc-by-nc-nd)
  • PubMed (publishedVersion)
Funders
  • Massachusetts General Hospital
  • National Institutes of Health
  • MGH Institute of Health Professions
  • National Institute on Aging (P30AG062421)
  • National Institute on Deafness and Other Communication Disorders (R01DC013547, R01DC014296, K24DC016312, R01DC002852, F31DC015703, R01DC007683)
Topics
  • Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Neurobiology of Language and Bilingualism
  • Health Sciences › Medicine › Physiology › Voice and Speech Disorders
Keywords
primary progressive aphasia, motor speech disorders, articulation rate, cortical atrophy, premotor cortex, supplementary motor area, cortical thickness, longitudinal decline, disease severity
MeSH terms
Aged, Atrophy, Female, Humans, Magnetic Resonance Imaging, Male, Middle Aged, Motor Cortex, Speech, Aphasia, Primary Progressive, Comprehension

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