Purpose: The goal of this study was to develop a novel tool for connected speech analysis in aphasia, so that spoken output can be characterized in a data-driven and explanatory manner. Method: We designed a multidimensional rating scheme called the Auditory-Perceptual Rating of Connected Speech in Aphasia (APROCSA), in which 27 common features were each rated on a 5-point scale. Three researchers and twelve student clinicians rated 24 connected speech samples from the AphasiaBank database. Results: Ratings conducted by both researchers and student clinicians demonstrated good-to-excellent reliability and strong concurrent validity with AphasiaBank measures derived from transcriptions, clinical measures, and subscores from the Western Aphasia Battery (WAB). Factor analysis revealed that four underlying factors—Paraphasia, Logopenia, Agrammatism, and Motor speech—accounted for 79% of the variance in the connected speech profiles. Examination of individual patient scores showed considerable diversity of factor scores among patients of any given aphasia subtype. Conclusions: The APROCSA proved to be a reliable, valid, and efficient tool for research or clinical purposes. The preliminary findings of the factor analysis suggest a parcellation of non-fluency into three distinct profiles—Logopenia, Agrammatism, and Motor speech—which may occur in conjunction with other non-fluent profiles or with the fluent profile

This study investigates pause duration between and within utterances in the speech of 20 people with different degrees and types of aphasia: 15 with fluent aphasia and five with nonfluent aphasia. It also examines within utterance pause durations as a function of utterance position. Using aphasia speech samples collected in a previous study by Harmon (2018), Praat acoustic analysis software was used to segment words and periods of pause and measure pause duration within and between utterances. The data were analyzed using descriptive statistics, including pause duration mean, standard deviations, and interquartile range. Speech pauses were also categorized by the percentage of pause durations greater than 250 ms, 500 ms, 750 ms, and one second. Nonfluent aphasia presents higher mean durations of both between and within utterance pauses than fluent aphasia. Speakers with fluent and nonfluent aphasia subtypes exhibit a larger proportion of pauses longer than one second between utterances than within them. Between utterances, there is a positive association between increase in aphasia severity and an increase in pause duration. Within utterances, speech from individuals with moderately severe aphasia have longer mean pause durations than mild or very mild cases. Individuals with both fluent and nonfluent aphasia demonstrate increased pause durations in the initial sentence position. Further research will provide insight into how this compares with typical speech and how these pause patterns affect the communicative effectiveness of the speaker.

For two decades, researchers and clinicians have been using the diagnostic criteria for FTD to generally diagnose a patient as suffering from PPA and the criteria of Neary et al. (1998) to further specify the diagnosis as progressive nonfluent aphasia or semantic dementia. However, there were a number of PPA cases that could not be classified according to the criteria of Neary and colleagues, which led to a revision of the diagnostic clinical and research criteria for PPA by Gorno-Tempini et al. (2011). The revised criteria encompass three PPA variants (svPPA, nfvPPA, and lvPPA) with three stages characterized by increasing evidence: clinical diagnosis, imaging-supported diagnosis, and diagnosis with definite pathology. As compared to the previous diagnostic criteria, more emphasis is placed on imaging markers as supportive features. These imaging criteria were however proposed based on a purely qualitative evaluation of the literature and have not been validated so far. The aim of this thesis was to quantitatively evaluate the validity of the new diagnostic imaging criteria for PPA variants using anatomical likelihood meta-analyses (study 1) and to investigate the usefulness of these imaging criteria for the individual diagnosis of PPA patients in clinical routine using support vector machine classification (study 2).

Introdução: A demência frontotemporal (DFT) inclui a variante comportamental da demência frontotemporal (vcDFT), a variante semântica da afasia progressiva primária (vsAPP), e a variante não fluente da APP (vnfAPP). Os genes em que são encontradas mutações causadoras de DFT mais frequentemente são: GRN (que codifica a progranulina), MAPT (que codifica a proteína tau) e C9orf72. Métodos: Foram incluídos probandos diagnosticados com vcDFT, vsAPP ou vnfAPP, com base com os critérios diagnósticos mais recentes, e um grupo de indivíduos cognitivamente normais. Os éxons 2-12 de GRN e os éxons 1, 9-13 de MAPT foram sequenciados pelo método de Sanger, e foi realizada dosagem de progranulina no plasma. Resultados: foram incluídos 62 probandos, sendo 44 com vcDFT, 9 com vsAPP, e 9 com vnfAPP. Antecedente familiar de demência foi positivo em 45,1% dos probandos, e de DFT, em 24,1%. Os 60 indivíduos do grupo controle tinham idade média de 60,8±8,5 anos. Foram identificadas seis mutações nulas em GRN (p.Q130X, p.V200Gfs*18, p.Q257Pfs*26, p.Q300X, p.S301Cfs*60 e p.D317Afs*11) e uma mutação patogênica em MAPT (p.N279K). A dosagem média de progranulina plasmática nos pacientes com mutações de GRN foi de 29,8±11,9ng/ml Conclusões: A frequência de mutações patogênicas em GRN nesta casuística foi de 9,6%, e a de mutações em MAPT foi de 1,6%. Entre casos familiais de DFT, a frequência de mutações em GRN foi de 33,3%, e em MAPT foi de 6,7%. Duas das mutações encontradas em GRN (p.Q130X e p.D317Afs*11) ainda não foram descritas em casos de DFT. O valor de corte de 70ng/ml identificou as mutações nulas de GRN com sensibilidade e especificidade de 100% / Introduction: Frontotemporal dementia (FTD) encompasses behavioral variant of frontotemporal dementia (bvFTD), semantic variant of primary progressive aphasia (svPPA), and nonfluent variant PPA (nfvPPA). The genes in which FTD-causing mutations are most frequently found are: GRN (which encodes progranulin), MAPT (which encodes tau protein) and C9orf72. Methods: We included probands diagnosed with bvFTD, svPPA or nfvPPA, based on the most recent diagnostic criteria, and a group of cognitively normal individuals. GRN exons 2-12 and MAPT exons 1, 9-13 were sequenced by the Sanger method, and plasma progranulin levels were measured. Results: we included 62 probands (44 with bvFTD, 9 with svPPA, and 9 with nfvPPA). Family history of dementia was positive in 45.1% of probands, and of DFT, in 24.1%. The control group of 60 individuals had a mean age of 60.8±8.5 years. Six null GRN mutations were identified in (p.Q130X, p.V200Gfs*18, p.Q257Pfs*26, p.Q300X, p.S301Cfs*60 e p.D317Afs*11) and one MAPT pathogenic mutation (p.N279K). The mean plasma progranulin level in patients with GRN mutations was 29.8±11,9ng/ml. Conclusions: The frequency of pathogenic mutations in GRN was 9.6%, and of MAPT mutations was 1.6%. Among cases of familial FTD, the frequency of GRN mutations was 33.3%, and of MAPT mutations was 6.7%. Two of the mutations found in GRN (p.Q130X and p.D317Afs*11) are novel. The cutoff value of 70ng/ml identified null GRN mutations with sensitivity and specificity of 100%

Introdução: A demência frontotemporal (DFT) inclui a variante comportamental da demência frontotemporal (vcDFT), a variante semântica da afasia progressiva primária (vsAPP), e a variante não fluente da APP (vnfAPP). Os genes em que são encontradas mutações causadoras de DFT mais frequentemente são: GRN (que codifica a progranulina), MAPT (que codifica a proteína tau) e C9orf72. Métodos: Foram incluídos probandos diagnosticados com vcDFT, vsAPP ou vnfAPP, com base com os critérios diagnósticos mais recentes, e um grupo de indivíduos cognitivamente normais. Os éxons 2-12 de GRN e os éxons 1, 9-13 de MAPT foram sequenciados pelo método de Sanger, e foi realizada dosagem de progranulina no plasma. Resultados: foram incluídos 62 probandos, sendo 44 com vcDFT, 9 com vsAPP, e 9 com vnfAPP. Antecedente familiar de demência foi positivo em 45,1% dos probandos, e de DFT, em 24,1%. Os 60 indivíduos do grupo controle tinham idade média de 60,8±8,5 anos. Foram identificadas seis mutações nulas em GRN (p.Q130X, p.V200Gfs*18, p.Q257Pfs*26, p.Q300X, p.S301Cfs*60 e p.D317Afs*11) e uma mutação patogênica em MAPT (p.N279K). A dosagem média de progranulina plasmática nos pacientes com mutações de GRN foi de 29,8±11,9ng/ml Conclusões: A frequência de mutações patogênicas em GRN nesta casuística foi de 9,6%, e a de mutações em MAPT foi de 1,6%. Entre casos familiais de DFT, a frequência de mutações em GRN foi de 33,3%, e em MAPT foi de 6,7%. Duas das mutações encontradas em GRN (p.Q130X e p.D317Afs*11) ainda não foram descritas em casos de DFT. O valor de corte de 70ng/ml identificou as mutações nulas de GRN com sensibilidade e especificidade de 100% / Introduction: Frontotemporal dementia (FTD) encompasses behavioral variant of frontotemporal dementia (bvFTD), semantic variant of primary progressive aphasia (svPPA), and nonfluent variant PPA (nfvPPA). The genes in which FTD-causing mutations are most frequently found are: GRN (which encodes progranulin), MAPT (which encodes tau protein) and C9orf72. Methods: We included probands diagnosed with bvFTD, svPPA or nfvPPA, based on the most recent diagnostic criteria, and a group of cognitively normal individuals. GRN exons 2-12 and MAPT exons 1, 9-13 were sequenced by the Sanger method, and plasma progranulin levels were measured. Results: we included 62 probands (44 with bvFTD, 9 with svPPA, and 9 with nfvPPA). Family history of dementia was positive in 45.1% of probands, and of DFT, in 24.1%. The control group of 60 individuals had a mean age of 60.8±8.5 years. Six null GRN mutations were identified in (p.Q130X, p.V200Gfs*18, p.Q257Pfs*26, p.Q300X, p.S301Cfs*60 e p.D317Afs*11) and one MAPT pathogenic mutation (p.N279K). The mean plasma progranulin level in patients with GRN mutations was 29.8±11,9ng/ml. Conclusions: The frequency of pathogenic mutations in GRN was 9.6%, and of MAPT mutations was 1.6%. Among cases of familial FTD, the frequency of GRN mutations was 33.3%, and of MAPT mutations was 6.7%. Two of the mutations found in GRN (p.Q130X and p.D317Afs*11) are novel. The cutoff value of 70ng/ml identified null GRN mutations with sensitivity and specificity of 100%