The DOI matches its Crossref record; 41 of the 41 references it cites were found in a registry or an index.
Motor speech signature of behavioral variant frontotemporal dementia: Refining the phenotype
Open accessAbstract
OBJECTIVE: To provide a comprehensive description of motor speech function in behavioral variant frontotemporal dementia (bvFTD). METHODS: Forty-eight individuals (24 bvFTD and 24 age- and sex-matched healthy controls) provided speech samples. These varied in complexity and thus cognitive demand. Their language was assessed using the Progressive Aphasia Language Scale and verbal fluency tasks. Speech was analyzed perceptually to describe the nature of deficits and acoustically to quantify differences between patients with bvFTD and healthy controls. Cortical thickness and subcortical volume derived from MRI scans were correlated with speech outcomes in patients with bvFTD. RESULTS: Speech of affected individuals was significantly different from that of healthy controls. The speech signature of patients with bvFTD is characterized by a reduced rate (75%) and accuracy (65%) on alternating syllable production tasks, and prosodic deficits including reduced speech rate (45%), prolonged intervals (54%), and use of short phrases (41%). Groups differed on acoustic measures derived from the reading, unprepared monologue, and diadochokinetic tasks but not the days of the week or sustained vowel tasks. Variability of silence length was associated with cortical thickness of the inferior frontal gyrus and insula and speech rate with the precentral gyrus. CONCLUSIONS: One in 8 patients presented with moderate speech timing deficits with a further two-thirds rated as mild or subclinical. Subtle but measurable deficits in prosody are common in bvFTD and should be considered during disease management. Language function correlated with speech timing measures derived from the unprepared monologue only.
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Cites
Statistical Power Analysis for the Behavioral Sciences
Muller, K. E., & Cohen, J. (1989) · Technometrics · doi:10.2307/1270020 · Cited by 99,603
Statistical power analysis for the behavioral sciences
Cohen, J. (1990) · Computers Environment and Urban Systems · doi:10.1016/0198-9715(90)90050-4 · Cited by 65,417
Fischl, B. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.01.021 · Cited by 9,526
Fischl, B., Salat, D. H., Busa, E., Albert, M., Dieterich, M., Haselgrove, C., van der Kouwe, A., Killiany, R., Kennedy, D., Klaveness, S., et al. (2002) · Neuron · doi:10.1016/s0896-6273(02)00569-x · Cited by 8,610
Saliency, switching, attention and control: a network model of insula function
Menon, V., & Uddin, L. Q. (2010) · Brain Structure and Function · doi:10.1007/s00429-010-0262-0 · Cited by 5,592
Sensitivity of revised diagnostic criteria for the behavioural variant of frontotemporal dementia
Rascovsky, K., Hodges, J. R., Knopman, D., Mendez, M. F., Kramer, J. H., Neuhaus, J., van Swieten, J. C., Seelaar, H., Dopper, E. G. P., Onyike, C. U., et al. (2011) · Brain · doi:10.1093/brain/awr179 · Cited by 5,221
Classification of primary progressive aphasia and its variants
Gorno-Tempini, M. L., Hillis, A. E., Weintraub, S., Kertesz, A., Mendez, M., Cappa, S. F., Ogar, J. M., Rohrer, J. D., Black, S., Boeve, B. F., et al. (2011) · Neurology · doi:10.1212/wnl.0b013e31821103e6 · Cited by 5,141
Where do you know what you know? The representation of semantic knowledge in the human brain
Patterson, K., Nestor, P. J., & Rogers, T. T. (2007) · Nature Reviews Neuroscience · doi:10.1038/nrn2277 · Cited by 2,706
The anatomy of language: a review of 100 fMRI studies published in 2009
Price, C. J. (2010) · Annals of the New York Academy of Sciences · doi:10.1111/j.1749-6632.2010.05444.x · Cited by 1,387
The prevalence of frontotemporal dementia
Ratnavalli, E., Brayne, C., Dawson, K. E., & Hodges, J. R. (2002) · Neurology · doi:10.1212/wnl.58.11.1615 · Cited by 1,182
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Magee, M., Lewis, C. C., Noffs, G., Reece, H., Chan, J. C. S., Zaga, C. J., Paynter, C., Birchall, O., Rojas, S., Ediriweera, A., et al. (2020) · The Journal of the Acoustical Society of America · doi:10.1121/10.0002873 · Cited by 205
Self-citationWhat speech can tell us: A systematic review of dysarthria characteristics in Multiple Sclerosis
Noffs, G., Perera, T., Kolbe, S., Shanahan, C. J., Boonstra, F. M. C., Evans, A. H., Butzkueven, H., van der Walt, A., & Vogel, A. P. (2018) · Autoimmunity Reviews · doi:10.1016/j.autrev.2018.06.010 · Cited by 127
Self-citationSpeech and language impairments in behavioral variant frontotemporal dementia: A systematic review
Geraudie, A., Battista, P., García, A. M., Allen, I. E., Miller, Z. A., Gorno-Tempini, M. L., & Montembeault, M. (2021) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2021.10.015 · Cited by 80
Kent, R. D., Kim, Y., & Chen, L.-M. (2021) · Journal of Speech Language and Hearing Research · doi:10.1044/2021_jslhr-21-00396 · Cited by 77
Chan, J. C. S., Stout, J. C., & Vogel, A. P. (2019) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2019.08.009 · Cited by 54
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Metadata
- Authors
- Vogel, A. P., Poole, M. L., Pemberton, H., Caverlé, M. W. J., Boonstra, F. M. C., Low, E., Darby, D., & Brodtmann, A.
- Affiliations
- Box Hill Hospital (AU)
- ORCID
- Venue
- Neurology
- Published
- 2017-08-22
- Volume
- 89
- Issue
- 8
- Pages
- 837-844
- ISSN
- 0028-3878 (ISSN-L)
- 1526-632X
- OpenAlex
- W2738539667
- Cited by
- 49
- References
- 41
- Citations by year
- 2026: 2 · 2025: 8 · 2024: 4 · 2023: 8 · 2022: 8 · 2021: 5 · 2020: 6 · 2019: 4 · 2018: 4
- FWCI
- 3.14
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Neurology (publishedVersion)
- PubMed (publishedVersion)
- Minerva Access (University of Melbourne) (submittedVersion)
- UCL Discovery (University College London) (submittedVersion)
- 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 › Health Professions › Speech and Hearing › Voice and Speech Disorders
- Keywords
- behavioral variant frontotemporal dementia, motor speech, prosody, speech rate, speech acoustics, cortical thickness, inferior frontal gyrus, insula, precentral gyrus, speech fluency, language functions
- MeSH terms
- Cerebral Cortex, Female, Humans, Lactose Tolerance Test, Magnetic Resonance Imaging, Male, Middle Aged, Motor Skills, Organ Size, Phenotype, Speech, Speech Production Measurement, Frontotemporal Dementia
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