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Baqué L, Machuca MJ. Dysfluency in primary progressive aphasia: Temporal speech parameters. CLINICAL LINGUISTICS & PHONETICS 2024:1-34. [PMID: 39104133 DOI: 10.1080/02699206.2024.2378345] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/05/2023] [Revised: 06/28/2024] [Accepted: 07/05/2024] [Indexed: 08/07/2024]
Abstract
Analysing spontaneous speech in individuals experiencing fluency difficulties holds potential for diagnosing speech and language disorders, including Primary Progressive Aphasia (PPA). Dysfluency in the spontaneous speech of patients with PPA has mostly been described in terms of abnormal pausing behaviour, but the temporal features related to speech have drawn little attention. This study compares speech-related fluency parameters in the three main variants of PPA and in typical speech. Forty-three adults participated in this research, thirteen with the logopenic variant of PPA (lvPPA), ten with the non-fluent variant (nfvPPA), nine with the semantic variant (svPPA), and eleven who were healthy age-matched adults. Participants' fluency was assessed through a picture description task from which 42 parameters were computed including syllable duration, speaking pace, the duration of speech chunks (i.e. interpausal units, IPU), and the number of linguistic units per IPU and per second. The results showed that each PPA variant exhibited abnormal speech characteristics reflecting various underlying factors, from motor speech deficits to higher-level issues. Out of the 42 parameters considered, 37 proved useful for characterising dysfluency in the three main PPA variants and 35 in distinguishing among them. Therefore, taking into account not only pausing behaviour but also temporal speech parameters can provide a fuller understanding of dysfluency in PPA. However, no single parameter by itself sufficed to distinguish one PPA group from the other two, further evidence that dysfluency is not dichotomous but rather multidimensional, and that complementary multiparametric analyses are needed.
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Affiliation(s)
- Lorraine Baqué
- Departament de Filologia Francesa i Romànica, Universitat Autònoma de Barcelona, Bellaterra, Spain
| | - María-Jesús Machuca
- Departament de Filologia Espanyola, Universitat Autònoma de Barcelona, Bellaterra, Spain
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Lukic S, Fan Z, García AM, Welch AE, Ratnasiri BM, Wilson SM, Henry ML, Vonk J, Deleon J, Miller BL, Miller Z, Mandelli ML, Gorno-Tempini ML. Discriminating nonfluent/agrammatic and logopenic PPA variants with automatically extracted morphosyntactic measures from connected speech. Cortex 2024; 173:34-48. [PMID: 38359511 PMCID: PMC11246552 DOI: 10.1016/j.cortex.2023.12.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2023] [Revised: 10/15/2023] [Accepted: 12/12/2023] [Indexed: 02/17/2024]
Abstract
Morphosyntactic assessments are important for characterizing individuals with nonfluent/agrammatic variant primary progressive aphasia (nfvPPA). Yet, standard tests are subject to examiner bias and often fail to differentiate between nfvPPA and logopenic variant PPA (lvPPA). Moreover, relevant neural signatures remain underexplored. Here, we leverage natural language processing tools to automatically capture morphosyntactic disturbances and their neuroanatomical correlates in 35 individuals with nfvPPA relative to 10 healthy controls (HC) and 26 individuals with lvPPA. Participants described a picture, and ensuing transcripts were analyzed via part-of-speech tagging to extract sentence-related features (e.g., subordinating and coordinating conjunctions), verbal-related features (e.g., tense markers), and nominal-related features (e.g., subjective and possessive pronouns). Gradient boosting machines were used to classify between groups using all features. We identified the most discriminant morphosyntactic marker via a feature importance algorithm and examined its neural correlates via voxel-based morphometry. Individuals with nfvPPA produced fewer morphosyntactic elements than the other two groups. Such features robustly discriminated them from both individuals with lvPPA and HCs with an AUC of .95 and .82, respectively. The most discriminatory feature corresponded to subordinating conjunctions was correlated with cortical atrophy within the left posterior inferior frontal gyrus across groups (pFWE < .05). Automated morphosyntactic analysis can efficiently differentiate nfvPPA from lvPPA. Also, the most sensitive morphosyntactic markers correlate with a core atrophy region of nfvPPA. Our approach, thus, can contribute to a key challenge in PPA diagnosis.
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Affiliation(s)
- Sladjana Lukic
- University of California, San Francisco Memory and Aging Center, CA, USA; Ruth S. Ammon College of Education and Health Sciences, Department of Communication Sciences and Disorders, Adelphi University, Garden City, NY, USA.
| | - Zekai Fan
- Heinz College of Information Systems and Public Policy, Carnegie Mellon University, Pittsburgh, PA, USA
| | - Adolfo M García
- Global Brain Health Institute (GBHI), University of California, San Francisco, CA, USA; Cognitive Neuroscience Center, Universidad de San Andrés, Buenos Aires, Argentina; Departamento de Lingüística y Literatura, Facultad de Humanidades, Universidad de Santiago de Chile, Santiago, Chile
| | - Ariane E Welch
- Ruth S. Ammon College of Education and Health Sciences, Department of Communication Sciences and Disorders, Adelphi University, Garden City, NY, USA
| | | | - Stephen M Wilson
- School of Health and Rehabilitation Sciences, University of Queensland, Brisbane, QLD, Australia
| | - Maya L Henry
- University of Texas at Austin Moody College of Communication, Austin, TX, USA
| | - Jet Vonk
- University of California, San Francisco Memory and Aging Center, CA, USA
| | - Jessica Deleon
- University of California, San Francisco Memory and Aging Center, CA, USA
| | - Bruce L Miller
- University of California, San Francisco Memory and Aging Center, CA, USA
| | - Zachary Miller
- University of California, San Francisco Memory and Aging Center, CA, USA
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Schnur TT, Wang S. Differences in Connected Speech Outcomes Across Elicitation Methods. APHASIOLOGY 2023; 38:816-837. [PMID: 38798958 PMCID: PMC11114736 DOI: 10.1080/02687038.2023.2239509] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/26/2022] [Accepted: 07/17/2023] [Indexed: 05/29/2024]
Abstract
Background Connected speech is often used to assess many aspects of an individual's language abilities after stroke. However, it is unknown the degree to which elicitation methods differ in generating structural and syntactic aspects of connected speech, two critical components of successful communication. Quantifying the degree to which elicitation methods differ in eliciting structurally, syntactically, and lexically complex connected speech at the earliest stage of stroke before reorganization and rehabilitation of function independent of clinical diagnosis of aphasia has not been examined to date. Addressing this gap has implications for early clinical intervention as well as empirical studies of connected speech production. Aims We compared two common elicitation methods, picture description and storytelling on lexical, structural, and syntactic measures of connected speech in speakers during the acute stage of left hemisphere stroke. Methods & Procedures We measured connected speech using an automated quantitative production analysis approach (Fromm et al., 2021) in 71 native-English speaking participants (27 female; 59 ± 13 years) within an average 3.9 days from left hemisphere stroke onset. We tested the degree of agreement and consistency between elicitation methods for lexical, structural, and syntactic measures of connected speech, as well as the degree of concordance in classifying deficits across individuals. Outcomes & Results Storytelling elicited significantly more words and more structurally complex, lexically diverse, and syntactically accurate speech in comparison to picture description. Elicitation methods differed in measuring outcomes across participants for the lexical and syntactic, but not structural complexity aspects of connected speech where storytelling classified more participants with impairments in comparison to picture description. Conclusions These differences suggest storytelling provides assessment of connected speech abilities more reflective of real-world abilities where its use is particularly critical for examining individual differences and providing diagnoses of acute stroke language deficits. As a result, using storytelling as a connected speech elicitation method more effectively captures a patient's language capabilities after stroke, consequently informing clinical diagnosis and treatment.
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Affiliation(s)
- Tatiana T. Schnur
- Department of Neurosurgery, Baylor College of Medicine, Houston, Texas
- Department of Neuroscience, Baylor College of Medicine, Houston, Texas
| | - Sharon Wang
- Department of Neurosurgery, Baylor College of Medicine, Houston, Texas
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de Almeida IJ, Silagi ML, Carthery-Goulart MT, Parmera JB, Cecchini MA, Coutinho AM, Dozzi Brucki SM, Nitrini R, Schochat E. The Discourse Profile in Corticobasal Syndrome: A Comprehensive Clinical and Biomarker Approach. Brain Sci 2022; 12:brainsci12121705. [PMID: 36552165 PMCID: PMC9775929 DOI: 10.3390/brainsci12121705] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2022] [Revised: 12/07/2022] [Accepted: 12/09/2022] [Indexed: 12/15/2022] Open
Abstract
The aim of this study was to characterize the oral discourse of CBS patients and to verify whether measures obtained during a semi-spontaneous speech production could differentiate CBS patients from controls. A second goal was to compare the performance of patients with CBS probably due to Alzheimer's disease (CBS-AD) pathology and CBS not related to AD (CBS-non-AD) in the same measures, based on the brain metabolic status (FDG-PET) and in the presence of amyloid deposition (amyloid-PET). Results showed that CBS patients were significantly different from controls in speech rate, lexical level, informativeness, and syntactic complexity. Discursive measures did not differentiate CBS-AD from CBS-non-AD. However, CBS-AD displayed more lexical-semantic impairments than controls, a profile that is frequently reported in patients with clinical AD and the logopenic variant of primary progressive aphasia (lvPPA). CBS-non-AD presented mainly with impairments related to motor speech disorders and syntactic complexity, as seen in the non-fluent variant of PPA.
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Affiliation(s)
- Isabel Junqueira de Almeida
- Department of Physical Therapy, Speech, and Occupational Therapy, Hospital das Clínicas, Faculdade de Medicina da Universidade de São Paulo (HC-FMUSP), São Paulo 05360-160, Brazil
- Cognitive and Behavioral Neurology Research Group, Department of Neurology, University of São Paulo, São Paulo 01246-903, Brazil
- Correspondence: (I.J.d.A.); (M.T.C.-G.)
| | - Marcela Lima Silagi
- Cognitive and Behavioral Neurology Research Group, Department of Neurology, University of São Paulo, São Paulo 01246-903, Brazil
- Department of Speech, Language and Hearing Sciences, Universidade Federal de São Paulo, São Paulo 04023-062, Brazil
| | - Maria Teresa Carthery-Goulart
- Cognitive and Behavioral Neurology Research Group, Department of Neurology, University of São Paulo, São Paulo 01246-903, Brazil
- Mathematics, Computing and Cognition Center (CMCC), Federal University of ABC (UFABC), Santo André 09210-580, Brazil
- INCT-ECCE (Instituto Nacional de Ciência e Tecnologia sobre Comportamento, Cognição e Ensino), São Carlos 13565-905, Brazil
- Correspondence: (I.J.d.A.); (M.T.C.-G.)
| | - Jacy Bezerra Parmera
- Cognitive and Behavioral Neurology Research Group, Department of Neurology, University of São Paulo, São Paulo 01246-903, Brazil
- Department of Neurology, Hospital das Clínicas, Faculdade de Medicina da Universidade de São Paulo (HC-FMUSP), São Paulo 01246-903, Brazil
| | - Mario Amore Cecchini
- Human Cognitive Neuroscience, Psychology Department, University of Edinburgh, 7 George Square, Edinburgh EH8 9JZ, UK
| | - Artur Martins Coutinho
- Cognitive and Behavioral Neurology Research Group, Department of Neurology, University of São Paulo, São Paulo 01246-903, Brazil
- Laboratory of Nuclear Medicine (LIM-43), Nuclear Medicine Center and Division, Hospital das Clínicas, Faculdade de Medicina da Universidade de São Paulo (HC-FMUSP), São Paulo 01246-903, Brazil
| | - Sonia Maria Dozzi Brucki
- Cognitive and Behavioral Neurology Research Group, Department of Neurology, University of São Paulo, São Paulo 01246-903, Brazil
- Department of Neurology, Hospital das Clínicas, Faculdade de Medicina da Universidade de São Paulo (HC-FMUSP), São Paulo 01246-903, Brazil
| | - Ricardo Nitrini
- Cognitive and Behavioral Neurology Research Group, Department of Neurology, University of São Paulo, São Paulo 01246-903, Brazil
- Department of Neurology, Hospital das Clínicas, Faculdade de Medicina da Universidade de São Paulo (HC-FMUSP), São Paulo 01246-903, Brazil
| | - Eliane Schochat
- Department of Physical Therapy, Speech, and Occupational Therapy, Hospital das Clínicas, Faculdade de Medicina da Universidade de São Paulo (HC-FMUSP), São Paulo 05360-160, Brazil
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Characterization of the logopenic variant of Primary Progressive Aphasia: A systematic review and meta-analysis. Ageing Res Rev 2022; 82:101760. [PMID: 36244629 DOI: 10.1016/j.arr.2022.101760] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2022] [Accepted: 10/11/2022] [Indexed: 01/31/2023]
Abstract
The linguistic and anatomical variability of the logopenic variant of Primary Progressive Aphasia (lv-PPA) as defined by current diagnostic criteria has been the topic of an intense debate. The present review and meta-analysis aims at characterizing the profile of lv-PPA, by a comprehensive analysis of the available literature on the neuropsychological, neuroimaging, electrophysiological, pathological, and genetic features of lv-PPA. We conducted a systematic bibliographic search, leading to the inclusion of 207 papers. Of them, 12 were used for the Anatomical Likelihood Estimation meta-analysis on grey matter revealed by magnetic resonance imaging data. The results suggest that the current guidelines outline a relatively consistent syndrome, characterized by a core set of linguistic and, to a lesser extent, non-linguistic deficits, mirroring the involvement of left temporal and parietal regions typically affected by Alzheimer Disease pathology. Variations of the lv-PPA profile are discussed in terms of heterogeneity of the neuropsychological instruments and the diagnostic criteria adopted.
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Potagas C, Nikitopoulou Z, Angelopoulou G, Kasselimis D, Laskaris N, Kourtidou E, Constantinides VC, Bougea A, Paraskevas GP, Papageorgiou G, Tsolakopoulos D, Papageorgiou SG, Kapaki E. Silent Pauses and Speech Indices as Biomarkers for Primary Progressive Aphasia. Medicina (B Aires) 2022; 58:medicina58101352. [PMID: 36295513 PMCID: PMC9611099 DOI: 10.3390/medicina58101352] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2022] [Revised: 09/18/2022] [Accepted: 09/19/2022] [Indexed: 12/30/2022] Open
Abstract
Background and Objectives: Recent studies highlight the importance of investigating biomarkers for diagnosing and classifying patients with primary progressive aphasia (PPA). Even though there is ongoing research on pathophysiological indices in this field, the use of behavioral variables, and especially speech-derived factors, has drawn little attention in the relevant literature. The present study aims to investigate the possible utility of speech-derived indices, particularly silent pauses, as biomarkers for primary progressive aphasia (PPA). Materials and Methods: We recruited 22 PPA patients and 17 healthy controls, from whom we obtained speech samples based on two elicitation tasks, i.e., cookie theft picture description (CTP) and the patients’ personal narration of the disease onset and course. Results: Four main indices were derived from these speech samples: speech rate, articulation rate, pause frequency, and pause duration. In order to investigate whether these indices could be used to discriminate between the four groups of participants (healthy individuals and the three patient subgroups corresponding to the three variants of PPA), we conducted three sets of analyses: a series of ANOVAs, two principal component analyses (PCAs), and two hierarchical cluster analyses (HCAs). The ANOVAs revealed significant differences between the four subgroups for all four variables, with the CTP results being more robust. The subsequent PCAs and HCAs were in accordance with the initial statistical comparisons, revealing that the speech-derived indices for CTP provided a clearer classification and were especially useful for distinguishing the non-fluent variant from healthy participants as well as from the two other PPA taxonomic categories. Conclusions: In sum, we argue that speech-derived indices, and especially silent pauses, could be used as complementary biomarkers to efficiently discriminate between PPA and healthy speakers, as well as between the three variants of the disease.
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Affiliation(s)
- Constantin Potagas
- Neuropsychology and Language Disorders Unit, 1st Department of Neurology, Eginitio Hospital, National and Kapodistrian University of Athens, 115 28 Athens, Greece
- Correspondence:
| | - Zoi Nikitopoulou
- Neuropsychology and Language Disorders Unit, 1st Department of Neurology, Eginitio Hospital, National and Kapodistrian University of Athens, 115 28 Athens, Greece
| | - Georgia Angelopoulou
- Neuropsychology and Language Disorders Unit, 1st Department of Neurology, Eginitio Hospital, National and Kapodistrian University of Athens, 115 28 Athens, Greece
- Department of Speech and Language Therapy, School of Health Sciences, University of Peloponnese, 241 00 Kalamata, Greece
| | - Dimitrios Kasselimis
- Neuropsychology and Language Disorders Unit, 1st Department of Neurology, Eginitio Hospital, National and Kapodistrian University of Athens, 115 28 Athens, Greece
- Department of Psychology, Panteion University of Social and Political Sciences, 176 71 Athens, Greece
| | - Nikolaos Laskaris
- Neuropsychology and Language Disorders Unit, 1st Department of Neurology, Eginitio Hospital, National and Kapodistrian University of Athens, 115 28 Athens, Greece
- Department of Industrial Design and Production Engineering, School of Engineering, University of West Attica, 122 43 Athens, Greece
| | - Evie Kourtidou
- Neuropsychology and Language Disorders Unit, 1st Department of Neurology, Eginitio Hospital, National and Kapodistrian University of Athens, 115 28 Athens, Greece
| | - Vasilios C. Constantinides
- 1st Department of Neurology, Eginitio Hospital, National and Kapodistrian University of Athens, 115 28 Athens, Greece
| | - Anastasia Bougea
- 1st Department of Neurology, Eginitio Hospital, National and Kapodistrian University of Athens, 115 28 Athens, Greece
| | - George P. Paraskevas
- 1st Department of Neurology, Eginitio Hospital, National and Kapodistrian University of Athens, 115 28 Athens, Greece
- 2nd Department of Neurology, School of Medicine, National and Kapodistrian University of Athens, Attikon University Hospital, 115 28 Athens, Greece
| | - Georgios Papageorgiou
- Neuropsychology and Language Disorders Unit, 1st Department of Neurology, Eginitio Hospital, National and Kapodistrian University of Athens, 115 28 Athens, Greece
| | - Dimitrios Tsolakopoulos
- Neuropsychology and Language Disorders Unit, 1st Department of Neurology, Eginitio Hospital, National and Kapodistrian University of Athens, 115 28 Athens, Greece
| | - Sokratis G. Papageorgiou
- 1st Department of Neurology, Eginitio Hospital, National and Kapodistrian University of Athens, 115 28 Athens, Greece
| | - Elisabeth Kapaki
- 1st Department of Neurology, Eginitio Hospital, National and Kapodistrian University of Athens, 115 28 Athens, Greece
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Bose A, Dutta M, Dash NS, Nandi R, Dutt A, Ahmed S. Importance of Task Selection for Connected Speech Analysis in Patients with Alzheimer’s Disease from an Ethnically Diverse Sample. J Alzheimers Dis 2022; 87:1475-1481. [PMID: 35491794 PMCID: PMC9277689 DOI: 10.3233/jad-220166] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Features of linguistic impairment in Alzheimer’s disease (AD) are primarily derived from English-speaking patients. Little is known regarding such deficits in linguistically diverse speakers with AD. We aimed to detail linguistic profiles (speech rate, dysfluencies, syntactic, lexical, morphological, semantics) from two connected speech tasks–Frog Story and picture description–in Bengali-speaking AD patients. The Frog Story detected group differences on all six linguistic levels, compared to only three with picture description. Critically, Frog Story captured the language-specific differences between the groups. Careful consideration should be given to the choice of connected speech tasks for dementia diagnosis in linguistically diverse populations.
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Affiliation(s)
- Arpita Bose
- School of Psychology and Clinical Language Sciences, University of Reading, Reading, UK
| | - Manaswita Dutta
- Department of Communication Disorders and Sciences, Rush University Medical Center, Chicago, IL, USA
| | - Niladri S. Dash
- Linguistic Research Unit, Indian Statistical Institute, Kolkata, India
| | - Ranita Nandi
- Neuropsychology and Clinical Psychology Unit, Duttanagar Mental Health Centre, Kolkata, India
| | - Aparna Dutt
- Neuropsychology and Clinical Psychology Unit, Duttanagar Mental Health Centre, Kolkata, India
| | - Samrah Ahmed
- School of Psychology and Clinical Language Sciences, University of Reading, Reading, UK
- Nuffield Department of Clinical Neurosciences, University of Oxford, UK
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CORRIGENDUM. INTERNATIONAL JOURNAL OF LANGUAGE & COMMUNICATION DISORDERS 2022; 57:468. [PMID: 35107189 DOI: 10.1111/1460-6984.12704] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
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