Automated detection of speech timing alterations in autopsy-confirmed nonfluent/agrammatic variant primary progressive aphasia
Open accessPublished version of a preprint
Abstract
Background and Objectives Motor speech function, including speech timing, is a key domain for diagnosing nonfluent/agrammatic variant primary progressive aphasia (nfvPPA). Yet, standard assessments use subjective, specialist-dependent evaluations, undermining reliability and scalability. Moreover, few studies have examined relevant anatomo-clinical alterations in patients with pathologically confirmed diagnoses. This study overcomes such caveats using automated speech timing analyses in a unique cohort of autopsy-proven cases. Methods In a cross-sectional study, we administered an overt reading task and quantified articulation rate, mean syllable and pause duration, and syllable and pause duration variability. Neuroanatomical disruptions were assessed using cortical thickness and white matter (WM) atrophy analysis. Results We evaluated 22 persons with nfvPPA (mean age: 67.3 years; 13 female patients) and confirmed underlying 4-repeat tauopathy, 15 persons with semantic variant primary progressive aphasia (svPPA; mean age: 66.5 years; 8 female patients), and 10 healthy controls (HCs; 70 years; 5 female patients). All 5 speech timing measures revealed alterations in persons with nfvPPA relative to both the HC and svPPA groups, controlling for dementia severity. The articulation rate robustly discriminated individuals with nfvPPA from HCs (area under the ROC curve [AUC] = 0.95), outperforming specialist-dependent perceptual measures of dysarthria and apraxia of speech severity. Patients with nfvPPA exhibited structural abnormalities in left precentral and middle frontal as well as bilateral superior frontal regions, including their underlying WM. The articulation rate correlated with atrophy of the left pars opercularis and supplementary/presupplementary motor areas. Secondary analyses showed that, controlling for dementia severity, all measures yielded greater deficits in patients with nfvPPA and corticobasal degeneration (nfvPPA-CBD, n = 12) than in those with progressive supranuclear palsy pathology (nfvPPA-PSP, n = 10). The articulation rate robustly discriminated between individuals in each subgroup (AUC = 0.82). More widespread cortical thinning was observed for the nfvPPA-CBD than the nfvPPA-PSP group across frontal regions. Discussion Automated speech timing analyses can capture specific markers of nfvPPA while potentially discriminating between patients with different tauopathies. Thanks to its objectivity and scalability; this approach could support standard speech assessments. Classification of Evidence This study provides Class III evidence that automated speech analysis can accurately differentiate patients with nonfluent PPA from normal controls and patients with semantic variant PPA.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The moderate sample size allows for detecting moderate-to-large effects but limits small-effect detection.
“Because sbvFTD and bvFTD are rare diseases, our moderate sample sizes, while comparable with other studies,9,33,49 allow for detecting moderate-to-large effects but limit small-effect detection.”
From Automated Speech Analysis to Differentiate Frontal and Right Anterior Temporal Lobe Atrophy in Frontotemporal Dementia (2025) · cites this paper as [33]
Substantial work has developed AI models to aid neurological diagnoses from multi-sequence brain MRI or PET, and more recent efforts involve multimodal AI models incorporating clinical, laboratory, and imaging data to differentiate dementia etiologies.
“Substantial work has been done to develop AI models that can aid in neurological diagnoses based on multi-sequence brain MRI or PET, and more recent efforts involve the development of multimodal AI models that incorporate clinical, laboratory, and imaging data for differentiating etiologies of dementia.77–79”
From Review of Artificial Intelligence for Clinical Use in Alzheimer's Disease and Related Dementias (2026) · cites this paper as [77]
Split into 2 atoms — 0 confirmed, 0 partially supported, 0 disputed, 0 misattributed, 2 unverifiable. Expand the claim to see per-atom verdicts.
Experimental — accuracy not yet measuredAcross 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”
From Speech and language markers of neurodegeneration: a call for global equity (2023) · cites this paper as [7]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
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 · see citing works
Self-citationThe Human Brainnetome Atlas: A New Brain Atlas Based on Connectional Architecture
Fan, L., Li, H., Zhuo, J., Zhang, Y., Wang, J., Chen, L., Yang, Z., Chu, C., Xie, S., Laird, A. R., et al. (2016) · Cerebral Cortex · doi:10.1093/cercor/bhw157 · Cited by 2,956 · see citing works
Clinical diagnosis of progressive supranuclear palsy: The movement disorder society criteria
Höglinger, G. U., Respondek, G., Stamelou, M., Kurz, C., Josephs, K. A., Lang, A. E., Mollenhauer, B., Müller, U., Nilsson, C., Whitwell, J. L., et al. (2017) · Movement Disorders · doi:10.1002/mds.26987 · Cited by 2,374 · see citing works
Qualitative Assessment of Verbal Fluency Performance in Frontotemporal Dementia
van den Berg, E., Jiskoot, L. C., Grosveld, M. J. H., Swieten, J. C. V., & Papma, J. M. (2017) · Dementia and Geriatric Cognitive Disorders · doi:10.1159/000477538 · Cited by 2,061 · see citing works
Adaptive non‐local means denoising of MR images with spatially varying noise levels
Manjón, J. V., Pierrick Coupé, A., Martí‐Bonmatí, L., Collins, D. L., & Robles, M. (2009) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.22003 · Cited by 1,088 · see citing works
Mackenzie, I. R. A., Neumann, M., Bigio, E. H., Cairns, N. J., Alafuzoff, I., Kril, J., Kovacs, G. G., Ghetti, B., Halliday, G., Holm, I. E., et al. (2010) · Acta Neuropathologica · doi:10.1007/s00401-009-0612-2 · Cited by 1,012 · see citing works
Distinct Tau Prion Strains Propagate in Cells and Mice and Define Different Tauopathies
Sanders, D. W., Kaufman, S. K., DeVos, S. L., Sharma, A. M., Mirbaha, H., Li, A., Barker, S. J., Foley, A. C., Thorpe, J. R., Serpell, L. C., et al. (2014) · Neuron · doi:10.1016/j.neuron.2014.04.047 · Cited by 986 · see citing works
Self-citationCortical thickness and central surface estimation
Dahnke, R., Yotter, R. A., & Gaser, C. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.09.050 · Cited by 719 · see citing works
Clinicopathological and imaging correlates of progressive aphasia and apraxia of speech
Josephs, K. A. (2006) · Brain · doi:10.1093/brain/awl078 · Cited by 679 · see citing works
Statistical approach to segmentation of single-channel cerebral MR images
Rajapakse, J. C., Giedd, J. N., & Rapoport, J. L. (1997) · IEEE Transactions on Medical Imaging · doi:10.1109/42.563663 · Cited by 678 · see citing works
Fast and robust parameter estimation for statistical partial volume models in brain MRI
Tohka, J., Zijdenbos, A. P., & Evans, A. C. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2004.05.007 · Cited by 670 · see citing works
Head size, age and gender adjustment in MRI studies: a necessary nuisance?
Barnes, J., Ridgway, G. R., Bartlett, J. W., Henley, S. M. D., Lehmann, M., Hobbs, N. Z., Clarkson, M. J., MacManus, D. G., Sebastien Ourselin, A., & Fox, N. C. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.06.025 · Cited by 513 · see citing works
Diffeomorphic registration using geodesic shooting and Gauss–Newton optimisation
Ashburner, J., & Friston, K. J. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2010.12.049 · Cited by 494 · see citing works
Clinicopathological correlations in corticobasal degeneration
Lee, S. E., Rabinovici, G. D., Mayo, M. C., Wilson, S. M., Seeley, W. W., DeArmond, S. J., Huang, E. J., Trojanowski, J. Q., Growdon, M. E., Jang, J. Y., et al. (2011) · Annals of Neurology · doi:10.1002/ana.22424 · Cited by 434 · see citing works
Self-citationKent, R. D. (1996) · American Journal of Speech-Language Pathology · doi:10.1044/1058-0360.0503.07 · Cited by 432 · see citing works
Primary progressive aphasia: clinicopathological correlations
Grossman, M. (2010) · Nature Reviews Neurology · doi:10.1038/nrneurol.2009.216 · Cited by 414 · see citing works
Typical and atypical pathology in primary progressive aphasia variants
Spinelli, E. G., Mandelli, M. L., Miller, Z. A., Santos‐Santos, M. A., Wilson, S. M., Agosta, F., Grinberg, L. T., Huang, E. J., Trojanowski, J. Q., Meyer, M., et al. (2017) · Annals of Neurology · doi:10.1002/ana.24885 · Cited by 409 · see citing works
Self-citationPrimary progressive aphasia: a clinical approach
Marshall, C. R., Hardy, C. J. D., Volkmer, A., Russell, L. L., Bond, R. L., Fletcher, P. D., Clark, C. N., Mummery, C. J., Schott, J. M., Rossor, M. N., et al. (2018) · Journal of Neurology · doi:10.1007/s00415-018-8762-6 · Cited by 305 · see citing works
Widespread cytoskeletal pathology characterizes corticobasal degeneration.
Feany, M. Β., & Dickson, D. W. (1995) · PubMed · Cited by 276 · see citing works
Local cortical surface complexity maps from spherical harmonic reconstructions
Yotter, R. A., Nenadić, I., Ziegler, G., Thompson, P. M., & Christian Gaser, B. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.02.007 · Cited by 240 · see citing works
Parra, M. A., Báez, S., Allegri, R., Nitríni, R., Lopera, F. J., Slachevsky, A., Custodio, N., Lira, D., Piguet, O., Kumfor, F., et al. (2018) · Neurology · doi:10.1212/wnl.0000000000004897 · Cited by 217 · see citing works
Josephs, K. A., & Duffy, J. R. (2008) · Current Opinion in Neurology · doi:10.1097/wco.0b013e3283168ddd · Cited by 193 · see citing works
Yamada, T., McGeer, P. L., & McGeer, E. G. (1992) · Neuroscience Letters · doi:10.1016/0304-3940(92)90145-w · Cited by 192 · see citing works
Neural Correlates of Syntactic Processing in the Nonfluent Variant of Primary Progressive Aphasia
Wilson, S. M., Dronkers, N. F., Ogar, J. M., Jang, J. Y., Growdon, M. E., Agosta, F., Henry, M. L., Miller, B. L., & Gorno‐Tempini, M. L. (2010) · Journal of Neuroscience · doi:10.1523/jneurosci.2547-10.2010 · Cited by 191 · see citing works
Self-citationFrontal White Matter Tracts Sustaining Speech Production in Primary Progressive Aphasia
Mandelli, M. L., Caverzasi, E., Binney, R. J., Henry, M. L., Lobach, I. V., Block, N., Amirbekian, B., Dronkers, N. F., Miller, B. L., Henry, R. G., et al. (2014) · Journal of Neuroscience · doi:10.1523/jneurosci.3464-13.2014 · Cited by 185 · see citing works
Self-citationProgressive Nonfluent Aphasia and Its Characteristic Motor Speech Deficits
Ogar, J., Dronkers, N., Brambati, S., Miller, B., & Gorno-Tempini, M. (2007) · Alzheimer Disease and Associated Disorders · doi:10.1097/wad.0b013e31815d19fe · Cited by 173 · see citing works
Self-citationSantos‐Santos, M., Mandelli, M. L., Binney, R. J., Ogar, J. M., Wilson, S. M., Henry, M. L., Hubbard, H. I., Meese, M., Attygalle, S., Rosenberg, L. M., et al. (2016) · JAMA Neurology · doi:10.1001/jamaneurol.2016.0412 · Cited by 162 · see citing works
Self-citationProsodic and phonetic subtypes of primary progressive apraxia of speech
Utianski, R. L., Duffy, J. R., Clark, H. M., Strand, E. A., Botha, H., Schwarz, C. G., Machulda, M. M., Senjem, M. L., Spychalla, A. J., Jack, C. R., et al. (2018) · Brain and Language · doi:10.1016/j.bandl.2018.06.004 · Cited by 160 · see citing works
Sensitivity and Specificity of Diagnostic Criteria for Progressive Supranuclear Palsy
Ali, F., Martin, P. R., Botha, H., Ahlskog, J. E., Bower, J. H., Masumoto, J. Y., Maraganore, D. M., Hassan, A., Eggers, S. D. Z., Boeve, B. F., et al. (2019) · Movement Disorders · doi:10.1002/mds.27619 · Cited by 157 · see citing works
de Alvear, R. B. (2010) · Revista de Logopedia Foniatría y Audiología · doi:10.1016/s0214-4603(10)70007-3 · Cited by 156 · see citing works
Volumetric vs. surface-based alignment for localization of auditory cortex activation
Desai, R. H., Liebenthal, E., Possing, E. T., Waldron, E. J., & Binder, J. R. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2005.03.024 · Cited by 117 · see citing works
Marczinski, C. A., & KERTESZ, A. E. (2005) · Brain and Language · doi:10.1016/j.bandl.2005.11.001 · Cited by 112 · see citing works
Behavior and cognition in corticobasal degeneration and progressive supranuclear palsy
KERTESZ, A. E., & McMonagle, P. (2009) · Journal of the Neurological Sciences · doi:10.1016/j.jns.2009.08.036 · Cited by 110 · see citing works
Ballard, K. J., Savage, S., Leyton, C. E., Vogel, A. P., Hornberger, M., & Hodges, J. R. (2014) · PLoS ONE · doi:10.1371/journal.pone.0089864 · Cited by 105 · see citing works
Self-citationLanguage impairment in progressive supranuclear palsy and corticobasal syndrome
Peterson, K. A., Patterson, K. E., & Rowe, J. B. (2019) · Journal of Neurology · doi:10.1007/s00415-019-09463-1 · Cited by 79 · see citing works
Cognitive determinants of dysarthria in Parkinson's disease: An automated machine learning approach
García, A. M., Arias‐Vergara, T., C. Vasquez‐Correa, J., Nöth, E., Schuster, M., Welch, A. E., Bocanegra, Y., Baena, A., & Orozco‐Arroyave, J. R. (2021) · Movement Disorders · doi:10.1002/mds.28751 · Cited by 77 · see citing works
Self-citationValidated automatic speech biomarkers in primary progressive aphasia
Nevler, N., Ash, S., Irwin, D. J., Liberman, M., & Grossman, M. (2019) · Annals of Clinical and Translational Neurology · doi:10.1002/acn3.653 · Cited by 74 · see citing works
In vivo signatures of nonfluent/agrammatic primary progressive aphasia caused by FTLD pathology
Caso, F., Mandelli, M. L., Henry, M. L., Gesierich, B. G., Bettcher, B. M., Ogar, J. M., Filippi, M., Comı, G., Magnani, G., Sidhu, M., et al. (2013) · Neurology · doi:10.1212/wnl.0000000000000031 · Cited by 72 · see citing works
Self-citationLudlow, C. L. (1994) · Neurology · doi:10.1212/wnl.44.11.2220-b · Cited by 72 · see citing works
Josephs, K. A., Duffy, J. R., Clark, H. M., Utianski, R. L., Strand, E. A., Machulda, M. M., Botha, H., Martin, P. R., Pham, N. T. T., Stierwalt, J. A. G., et al. (2021) · Nature Communications · doi:10.1038/s41467-021-23687-8 · Cited by 69 · see citing works
Altered topology of the functional speech production network in non-fluent/agrammatic variant of PPA
Mandelli, M. L., Welch, A. E., Vilaplana, E., Watson, C., Battistella, G., Brown, J. A., Possin, K. L., Hubbard, H. I., Miller, Z. A., Henry, M. L., et al. (2018) · Cortex · doi:10.1016/j.cortex.2018.08.002 · Cited by 67 · see citing works
Self-citationCerňak, M., Orozco‐Arroyave, J. R., Rudzicz, F., Christensen, H., Vásquez-Correa, J. C., & Nöth, E. (2017) · Computer Speech & Language · doi:10.1016/j.csl.2017.06.004 · Cited by 64 · see citing works
Speech rates converge in scripted turn-taking conversations
Schultz, B. G., O'Brien, I., Phillips, N. A., McFarland, D. H., Titone, D. A., & Palmėr, C. (2015) · Applied Psycholinguistics · doi:10.1017/s0142716415000545 · Cited by 60 · see citing works
Quantification of motor speech impairment and its anatomic basis in primary progressive aphasia
Cordella, C., Quimby, M., Touroutoglou, A., Brickhouse, M., Dickerson, B. C., & Green, J. R. (2019) · Neurology · doi:10.1212/wnl.0000000000007367 · Cited by 49 · see citing works
Eliasova, I., Mekyska, J., Košťálová, M., Mareček, R., Smékal, Z., & Rektorová, I. (2012) · Journal of Neural Transmission · doi:10.1007/s00702-012-0953-1 · Cited by 49 · see citing works
Monitoring change requires a rethink of assessment practices in voice and speech
Vogel, A. P., & Maruff, P. (2014) · Logopedics Phoniatrics Vocology · doi:10.3109/14015439.2013.775332 · Cited by 45 · see citing works
Self-citationHuh, Y. E., Park, J., Suh, M. K., Lee, S. E., Kim, J., Jeong, Y., Kim, H.-T., & Cho, J. W. (2015) · Brain and Language · doi:10.1016/j.bandl.2015.04.007 · Cited by 41 · see citing works
Karnik, N. S., D’Apuzzo, M., & Greicius, M. D. (2006) · Neurocase · doi:10.1080/13554790601125957 · Cited by 31 · see citing works
Haley, K. L., Jacks, A., Jarrett, J., Ray, T., Cunningham, K. T., Gorno‐Tempini, M. L., & Henry, M. L. (2021) · Journal of Speech Language and Hearing Research · doi:10.1044/2020_jslhr-20-00445 · Cited by 24 · see citing works
Self-citationReading prosody in the non-fluent and logopenic variants of primary progressive aphasia
Matias-Guiu, J. A., Suárez-Coalla, P., Pytel, V., Cabrera-Martín, M. N., Moreno-Ramos, T., Delgado-Alonso, C., Delgado-Álvarez, A., Matías-Guiu, J., & Cuetos, F. (2020) · Cortex · doi:10.1016/j.cortex.2020.08.013 · Cited by 20 · see citing works
Flagged first, then by citations
Research works printed but not linked: 1
- A.P. Vogel is Chief Science Officer of Redenlab Inc. The remaining authors report no disclosures relevant to the manuscript. Go to Neurology.org/N for full disclosures. Publication History Previously published on medRxiv, https://doi.org/10.1101/ 2022.02.21.22271228. Received by Neurology October 24, 2021. Ac- cepted in final form April 4, 2022. Submitted and externally peer reviewed. The handling editor was Linda Hershey, MD, PhD, FAAN. Cognitive Neurology and Aphasia Unit, Centro de Investigaciones Médico- Sanitarias, University of Malaga, Malaga, Spain; Instituto de Investigación Biomédica de Málaga - IBIMA, Malaga, Spain; Area of Psychobiology, Faculty of Psychology and Speech Therapy, University of Malaga, Malaga, Spain Drafting/revision of the manuscript for content, including medical writing for content; Analysis or interpretation of data · DOI
Cited by
Sorted by citations
Frontotemporal lobar degeneration
Grossman, M., Seeley, W. W., Boxer, A. L., Hillis, A. E., Knopman, D. S., Ljubenov, P. A., Miller, B., Piguet, O., Rademakers, R., Whitwell, J. L., et al. (2023) · Nature Reviews Disease Primers · doi:10.1038/s41572-023-00447-0 · Cited by 178 · see citing works
Self-citationSpeech and language markers of neurodegeneration: a call for global equity
García, A. M., de Leon, J., Tee, B. L., Blasi, D. E., & Gorno-Tempini, M. L. (2023) · Brain · doi:10.1093/brain/awad253 · Cited by 102 · see citing works
Self-citationNetwork anatomy in logopenic variant of primary progressive aphasia
Mandelli, M. L., Lorca‐Puls, D. L., Lukic, S., Montembeault, M., Gajardo‐Vidal, A., Licata, A. E., Scheffler, A., Battistella, G., Grasso, S. M., Bogley, R., et al. (2023) · Human Brain Mapping · doi:10.1002/hbm.26388 · Cited by 30 · see citing works
Self-citationGarcía, A. M., Johann, F., Echegoyen, R. E., Calcaterra, C., Riera, P., Belloli, L. M. L., & Carrillo, F. (2023) · Behavior Research Methods · doi:10.3758/s13428-023-02240-z · Cited by 29 · see citing works
Self-citationLorca‐Puls, D. L., Gajardo‐Vidal, A., Mandelli, M. L., Illán‐Gala, I., Ezzes, Z., Wauters, L., Battistella, G., Bogley, R., Ratnasiri, B. M., Licata, A. E., et al. (2023) · Brain · doi:10.1093/brain/awad327 · Cited by 26 · see citing works
Self-citationLukic, S., Fan, Z., García, A. M., Welch, A. E., Ratnasiri, B. M., Wilson, S. M., Henry, M. L., Vonk, J., Deleon, J., Miller, B. L., et al. (2024) · Cortex · doi:10.1016/j.cortex.2023.12.013 · Cited by 19 · see citing works
Self-citationSilent Pauses and Speech Indices as Biomarkers for Primary Progressive Aphasia
Potagas, C. M., Nikitopoulou, Z., Angelopoulou, G., Kasselimis, D. S., Laskaris, N., Kourtidou, E., Constantinides, V. C., Bougea, A. M., Paraskevas, G. P., Papageorgiou, G., et al. (2022) · Medicina · doi:10.3390/medicina58101352 · Cited by 17 · see citing works
Toolkit to Examine Lifelike Language v.2.0: Optimizing Speech Biomarkers of Neurodegeneration
García, A. M., Ferrante, F. J., Pérez, G. N., Ponferrada, J., Welford, A. S., Pelella, N., Caccia, M., Belloli, L. M. L., Calcaterra, C., Santibáñez, C. G., et al. (2024) · Dementia and Geriatric Cognitive Disorders · doi:10.1159/000541581 · Cited by 16 · see citing works
Self-citationCordella, C., Filippo, L. D., Kolachalama, V. B., & Kiran, S. (2024) · American Journal of Speech-Language Pathology · doi:10.1044/2024_ajslp-23-00208 · Cited by 16 · see citing works
Vonk, J. M. J., Morin, B. T., Pillai, J., Rosado Rolon, D., Bogley, R., Baquirin, D. P., Ezzes, Z., Tee, B. L., de Leon, J., Wauters, L., et al. (2025) · Neurology · doi:10.1212/wnl.0000000000213556 · Cited by 10 · see citing works
Self-citationTurning the Spotlight to Cholinergic Pharmacotherapy of the Human Language System
Dávila, G., Torres‐Prioris, M. J., López-Barroso, D., & Berthier, M. L. (2023) · CNS Drugs · doi:10.1007/s40263-023-01017-4 · Cited by 10 · see citing works
Self-citationLexical markers of disordered speech in primary progressive aphasia and ‘Parkinson-plus’ disorders
Henderson, S. K., Ramanan, S., Patterson, K. E., Garrard, P., Patel, N., Peterson, K. A., Halai, A. D., Cappa, S. F., Rowe, J. B., & Ralph, M. A. L. (2024) · Brain Communications · doi:10.1093/braincomms/fcae433 · Cited by 10 · see citing works
Clinicopathological associations of hemispheric dominance in primary progressive apraxia of speech
Robinson, C. G., Duffy, J. R., Clark, H. A., Utianski, R. L., Machulda, M. M., Botha, H., Singh, N. A., Pham, N. T. T., Ertekin‐Taner, N., Dickson, D. W., et al. (2023) · European Journal of Neurology · doi:10.1111/ene.15764 · Cited by 10 · see citing works
Developing digital health technologies for frontotemporal degeneration
Nevler, N., Niehoff, D., Gleixner, A. M., Dodge, S., Vogel, A. P., Hill, D. L., Ducharme, S., Staffaroni, A. M., Yunusova, Y., Au, R., et al. (2025) · Alzheimer's & Dementia · doi:10.1002/alz.70082 · Cited by 7 · see citing works
Self-citationNevler, N., Cho, S., Cousins, K. A. Q., Ash, S., Olm, C. A., Shellikeri, S., Agmon, G., Gonzalez-Recober, C., Xie, S. X., Barker, M. S., et al. (2024) · Neurology · doi:10.1212/wnl.0000000000207926 · Cited by 7 · see citing works
Cordella, C., Gutz, S. E., Eshghi, M., Stipancic, K. L., Schliep, M. E., Dickerson, B. C., & Green, J. R. (2022) · Journal of Speech Language and Hearing Research · doi:10.1044/2022_jslhr-22-00177 · Cited by 7 · see citing works
Progress in Primary Progressive Aphasia: A Review
KERTESZ, A. E., Finger, E. C., & Munoz, D. G. (2023) · Cognitive and Behavioral Neurology · doi:10.1097/wnn.0000000000000365 · Cited by 6 · see citing works
Speech Motor Profiles in Primary Progressive Aphasia
Staiger, A., Schroeter, M. L., Ziegler, W., Pino, D., Regenbrecht, F., Schölderle, T., Rieger, T., Riedl, L., Müller‐Sarnowski, F., & Diehl‐Schmid, J. (2023) · American Journal of Speech-Language Pathology · doi:10.1044/2023_ajslp-22-00319 · Cited by 6 · see citing works
Review of Artificial Intelligence for Clinical Use in Alzheimer's Disease and Related Dementias
Breithaupt, A. G., Tang, A., Paolillo, E. W., Bibars, M., Johnson, E. C. B., Saloner, R., Possin, K. L., Windon, C. C., Hill-Jarrett, T. G., Giorgio, J., et al. (2026) · Seminars in Neurology · doi:10.1055/a-2744-9871 · Cited by 6 · see citing works
Speech and language outcome measures in clinical trials of Alzheimer’s and Parkinson’s diseases
Berthier, M. L., Welford, A. S., Orozco‐Arroyave, J. R., López-Barroso, D., Torres‐Prioris, M. J., Dávila, G., & García, A. M. (2025) · Expert Review of Neurotherapeutics · doi:10.1080/14737175.2025.2600616 · Cited by 3 · see citing works
Self-citationThe landscape of dementia research, diagnosis, treatment, and care in Latin America
Suemoto, C. K., Custodio, N., Aguilar, D., Ávila‐Funes, J. A., Báez, S., Bagnati, P., Barnes, L. L., Brucki, S. M. D., Calandri, I. L., Caramelli, P., et al. (2026) · Alzheimer s & Dementia · doi:10.1002/alz.71309 · Cited by 4 · see citing works
Self-citationVonk, J. M. J., Ferrante, F. J., Morin, B. T., Rodriguez, D. A., Lin, M. C., Bogley, R., de Leon, J., Tee, B. L., Santos‐Santos, M., Miller, Z., et al. (2026) · Alzheimer s & Dementia · doi:10.1002/alz.71124 · Cited by 3 · see citing works
Self-citationLeveraging language and cognitive data for PPA subtyping: A systematic review of AI-based approaches
Macoir, J., Karalı, F. S., & Tosun, S. (2025) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2025.111514 · Cited by 3 · see citing works
Grasso, S. M., Berstis, K., Schaffer, K. M., Keegan-Rodewald, W. R., Wauters, L., Europa, E., Hubbard, H. I., Dial, H. R., Hixon, J. G., Gorno‐Tempini, M. L., et al. (2024) · Cortex · doi:10.1016/j.cortex.2024.09.019 · Cited by 2 · see citing works
Self-citationAre pharmacotherapeutics effective for treating aphasia?
Dávila, G., & Berthier, M. L. (2024) · Expert Review of Neurotherapeutics · doi:10.1080/14737175.2024.2313557 · Cited by 2 · see citing works
The use of low-density EEG for the classification of PPA and MCI
Chriskos, P., Neophytou, K., Frantzidιs, C. A., Gallegos, J., Afthinos, A., Onyike, C. U., Hillis, A. E., Bamidis, P. D., & Tsapkini, K. (2025) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2025.1526554 · Cited by 2 · see citing works
Vonk, J. M. J., Morin, B. T., Pillai, J., Rolon, D. R., Bogley, R., Baquirin, D. P., Ezzes, Z., Tee, B. L., Deleon, J., Wauters, L., et al. (2024) · medRxiv · doi:10.1101/2024.08.29.24312807 · Cited by 2 · see citing works
Self-citationSterpin, L., Avello, C. A., Inchauspe, J., Pérez, G. N., Ferrante, F. J., Birba, A., Gattei, C., Abusamra, L., Sampedro, B., Abusamra, V., et al. (2025) · The Clinical Neuropsychologist · doi:10.1080/13854046.2025.2545943 · Cited by 1 · see citing works
Self-citationYekedüz, M. K., van Gool, R., van der Heijden, H. C., Cobb, B. S., Shah, N., Johnson, G., Timpani, C. A., Shulman, J., Rameh, V., Hsu, E. E., et al. (2026) · Journal of Inherited Metabolic Disease · doi:10.1002/jimd.70193 · Cited by 1 · see citing works
Self-citationThe include network: Advancing cross‐linguistic equity in brain health research
García, A. M., de Leon, J., Alladi, S., Battista, P., Birba, A., Cappa, S. F., Beber, B. C., Jiang, J., Kemmerer, D. L., Montembeault, M., et al. (2026) · Alzheimer s & Dementia · doi:10.1002/alz.71551 · Cited by 1 · see citing works
Self-citationVonk, J. M. J., Antonicelli, G., Ramkrishnan, S., Spina, S., Rosen, H. J., Seeley, W. W., Miller, B. L., Henry, M. L., Millanski, C., Mandelli, M. L., et al. (2026) · JAMA Neurology · doi:10.1001/jamaneurol.2026.2520 · Cited by 1 · see citing works
Self-citationClinical dimensions along the progressive nonfluent variant primary progressive aphasia spectrumPreprint
Illán‐Gala, I., Lorca‐Puls, D. L., Ezzes, Z., Deleon, J., Miller, Z., Rubio‐Guerra, S., Santos‐Santos, M., Gómez‐Andrés, D., Grinberg, L. T., Spina, S., et al. (2023) · medRxiv · doi:10.1101/2023.04.18.23288702 · Cited by 1 · see citing works
Self-citationAI-based Speech Error Detection to Differentiate Primary Progressive Aphasia VariantsPreprint
Vonk, J. M. J., Lian, J., Cho, C. J., Antonicelli, G., Ezzes, Z., Wauters, L., Keegan-Rodewald, W. R., Kurteff, G., Rodriguez, D. A., Dronkers, N., et al. (2026) · medRxiv · doi:10.64898/2026.02.23.26346899 · Cited by 1 · see citing works
Self-citationAdvances and Remaining Challenges in Distinguishing Variants of Primary Progressive Aphasia
Hillis, A. E., & Ruch, K. (2022) · Neurology · doi:10.1212/wnl.0000000000200864
García, A. M. (2023) · European Journal of Neurology · doi:10.1111/ene.15766
Self-citationDysfluency in primary progressive aphasia: Temporal speech parameters
Baqué, L., & Ayuso, M. J. M. (2024) · Clinical Linguistics & Phonetics · doi:10.1080/02699206.2024.2378345 · Cited by 1 · see citing works
Oral applause sign in progressive supranuclear palsy
Katsuse, K., Kakinuma, K., Kawakami, N., Ota, S., Kawamura, A., Ogawa, N., Iseki, C., Hamada, M., Toda, T., Kanno, S., et al. (2024) · Cortex · doi:10.1016/j.cortex.2024.11.021
Ivanic, S., Vogel, A. P., Chatterjee, P., Baird, J., Darby, D., Werden, E., Gao, L., Darzins, P. J., Patel, S. K., Burke, I., et al. (2025) · Journal of Alzheimer s Disease Reports · doi:10.1177/25424823251395325
Self-citationImpact of Amazonian Dance on Speech Performance in People with Parkinson’s DiseasePreprint
Prates, R. A. C. S., Guzzo, C. C. E., Duarte, M. V. A., Sánchez, A. M., Pauli, P., Martinez, F. G., Monteiro, E. P., García, A. M., Haas, A. N., & Theofanopoulou, C. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.01.12.699086
Self-citationYekedüz, M. K., van Gool, R., van der Heijden, H. C., Cobb, B. S., Shah, N., Johnson, G., Timpani, C. A., Shulman, J., Rameh, V., Hsu, E. E., et al. (2026) · medRxiv · doi:10.64898/2026.01.25.26344324
Self-citationWang, F., Duffy, J. R., Bachman, A. D., Barnard, L. R., Botha, H., & Utianski, R. L. (2026) · Clinical Linguistics & Phonetics · doi:10.1080/02699206.2026.2639397
AI‐powered analysis of affective dimensions in speech and its relevance for FTD diagnosis
Deneve, A., Dauchez, R., Lebouvier, T., D’Hondt, F., & Bertoux, M. (2026) · Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring · doi:10.1002/dad2.70300
Jiskoot, L. C., Aro, O. A., de Boer, L., Poos, J. M., Houwer, J. F. H. D., Swartenbroekx, T., Dopper, E. G. P., van den Berg, E., & Seelaar, H. (2026) · Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring · doi:10.1002/dad2.70346
Pérez, G., Caro, I., Ponferrada, J., Ferrante, F. J., Valdés, J., Migeot, J., Welford, A. S., Olavarría, L., Lillo, P., Thumala, D., et al. (2026) · NeuroImage · doi:10.1016/j.neuroimage.2026.122070
Self-citationImpact of Amazonian dance on speech performance in people with Parkinson’s disease
Prates, R. A. C. S., Guzzo, C. C. E., Duarte, M. V. A., Sánchez, A. M., Pauli, P., Martinez, F. G., Monteiro, E. P., García, A. M., Haas, A. N., & Theofanopoulou, C. (2026) · iScience · doi:10.1016/j.isci.2026.117185 · Cited by 1 · see citing works
Self-citationAntonicelli, G., Morin, B. T., Bogley, R., Newbury, R., Ezzes, Z., Ramkrishnan, S., Miller, Z., Mandelli, M. L., Tee, B. L., García, A. M., et al. (2026) · Cortex · doi:10.1016/j.cortex.2026.10.006
Self-citationThe Dutch Mini-Linguistic State Examination (MLSE-NL): findings in Primary Progressive Aphasia (PPA)
Coppieters, R., Janssen, N., Garrard, P., Hiemstra, F., Duits, A., Coninck, M. D., Keulenaer, S. D., Storey, I. C., Piai, V., Renssen, J., et al. (2026) · Journal of Neurology · doi:10.1007/s00415-026-14203-3
- Authors
- García, A. M., Welch, A. E., Mandelli, M. L., Henry, M. L., Lukic, S., Torres Prioris, M. J., Deleon, J., Ratnasiri, B. M., Lorca-Puls, D. L., Miller, B. L., Seeley, W., Vogel, A. P., & Gorno-Tempini, M. L.
- Affiliations
- Universidad de Santiago de Chile (CL)
- From the Global Brain Health Institute (A.M.G.), University of California, San Francisco; Cognitive Neuroscience Center (A.M.G.), Universidad de San Andrés, Buenos Aires; National Scientific and Technical Research Council (CONICET) (A.M.G.), Buenos Aires, Argentina; Departamento de Lingüística y Literatura, Facultad de Humanidades (A.M.G.), Universidad de Santiago de Chile; Memory and Aging Center (A.E.W., M.L.M., S.L., J.D., B.M.R., D.L.L.P., B.L.M., W.S., M.L.G.-T.), Department of Neurology,...
- ORCID
- Venue
- Neurology
- Published
- 2022-08-02
- Volume
- 99
- Issue
- 5
- Pages
- e500-e511
- ISSN
- 0028-3878 (ISSN-L)
- 1526-632X
- PMC
- PMC9421598
- OpenAlex
- W4281834255
- Cited by
- 47
- References
- 50
- Citations by year
- 2026: 15 · 2025: 8 · 2024: 9 · 2023: 12 · 2022: 3
- FWCI
- 5.21
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Neurology (publishedVersion)
- medRxiv (acceptedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- RISalud Institutional Health Repository of Andalucía (submittedVersion, other-oa)
- Repositorio Institucional de la Universidad de Málaga (University of Málaga) (submittedVersion, cc-by-nc-nd)
- Funders
- Alzheimer's Association (UK-22-865742, GBHI ALZ UK-22-865742, ALZ UK-22-865742)
- Larry L. Hillblom Foundation (R01 NS050915)
- Universidad de Santiago de Chile
- Global Brain Health Institute (UK-22-865742)
- Alzheimer's Society
- Agenția Națională pentru Cercetare și Dezvoltare
- Consejo Nacional de Investigaciones Científicas y Técnicas (1210176)
- Agencia Nacional de Investigación y Desarrollo (ANID BECAS‐CHILE 74200073, 74200073, 1210176)
- National Institutes of Health (NIDCD R01DC016291, NS050915, NINDS R01 NS050915)
- Atlantic Fellows Program
- National Institute on Aging (1210176, AG052943, NIA U01 AG052943, U01AG052943, P01AG019724)
- National Institute on Deafness and Other Communication Disorders (K23DC018021, NIDCD R01DC016291, NIA U01 AG052943, R01DC016291, K24DC015544)
- National Institute of Neurological Disorders and Stroke (RF1NS050915, NIA U01 AG052943, R01NS050915)
- CHIST-ERA
- 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
- speech timing, articulation rate, pause duration, semantic dementia, corticobasal degeneration, progressive supranuclear palsy, white matter atrophy, cortical thinning, supplementary motor area, pars opercularis, frontal lobe atrophy
- MeSH terms
- Aged, Atrophy, Autopsy, Cross-Sectional Studies, Female, Humans, Speech, Reproducibility of Results, Aphasia, Primary Progressive, Primary Progressive Nonfluent Aphasia
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
