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Reilly J, Shain C, Borghesani V, Kuhnke P, Vigliocco G, Peelle JE, Mahon BZ, Buxbaum LJ, Majid A, Brysbaert M, Borghi AM, De Deyne S, Dove G, Papeo L, Pexman PM, Poeppel D, Lupyan G, Boggio P, Hickok G, Gwilliams L, Fernandino L, Mirman D, Chrysikou EG, Sandberg CW, Crutch SJ, Pylkkänen L, Yee E, Jackson RL, Rodd JM, Bedny M, Connell L, Kiefer M, Kemmerer D, de Zubicaray G, Jefferies E, Lynott D, Siew CSQ, Desai RH, McRae K, Diaz MT, Bolognesi M, Fedorenko E, Kiran S, Montefinese M, Binder JR, Yap MJ, Hartwigsen G, Cantlon J, Bi Y, Hoffman P, Garcea FE, Vinson D. What we mean when we say semantic: Toward a multidisciplinary semantic glossary. Psychon Bull Rev 2024:10.3758/s13423-024-02556-7. [PMID: 39231896 DOI: 10.3758/s13423-024-02556-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/19/2024] [Indexed: 09/06/2024]
Abstract
Tulving characterized semantic memory as a vast repository of meaning that underlies language and many other cognitive processes. This perspective on lexical and conceptual knowledge galvanized a new era of research undertaken by numerous fields, each with their own idiosyncratic methods and terminology. For example, "concept" has different meanings in philosophy, linguistics, and psychology. As such, many fundamental constructs used to delineate semantic theories remain underspecified and/or opaque. Weak construct specificity is among the leading causes of the replication crisis now facing psychology and related fields. Term ambiguity hinders cross-disciplinary communication, falsifiability, and incremental theory-building. Numerous cognitive subdisciplines (e.g., vision, affective neuroscience) have recently addressed these limitations via the development of consensus-based guidelines and definitions. The project to follow represents our effort to produce a multidisciplinary semantic glossary consisting of succinct definitions, background, principled dissenting views, ratings of agreement, and subjective confidence for 17 target constructs (e.g., abstractness, abstraction, concreteness, concept, embodied cognition, event semantics, lexical-semantic, modality, representation, semantic control, semantic feature, simulation, semantic distance, semantic dimension). We discuss potential benefits and pitfalls (e.g., implicit bias, prescriptiveness) of these efforts to specify a common nomenclature that other researchers might index in specifying their own theoretical perspectives (e.g., They said X, but I mean Y).
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Affiliation(s)
| | - Cory Shain
- Massachusetts Institute of Technology, Cambridge, MA, USA
| | | | - Philipp Kuhnke
- Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
- Leipzig University, Leipzig, Germany
| | | | | | | | - Laurel J Buxbaum
- Thomas Jefferson University, Moss Rehabilitation Research Institute, Elkins Park, PA, USA
| | | | | | | | | | - Guy Dove
- University of Louisville, Louisville, KY, USA
| | - Liuba Papeo
- Centre National de La Recherche Scientifique (CNRS), University Claude-Bernard Lyon, Lyon, France
| | | | | | | | - Paulo Boggio
- Universidade Presbiteriana Mackenzie, São Paulo, Brazil
| | | | | | | | | | | | | | | | | | - Eiling Yee
- University of Connecticut, Storrs, CT, USA
| | | | | | | | | | | | | | | | | | | | | | | | - Ken McRae
- Western University, London, ON, Canada
| | | | | | | | | | | | | | - Melvin J Yap
- Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
- National University of Singapore, Singapore, Singapore
| | - Gesa Hartwigsen
- Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
- Leipzig University, Leipzig, Germany
| | | | - Yanchao Bi
- University of Edinburgh, Edinburgh, UK
- Beijing Normal University, Beijing, China
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Ding J, Yang Q, Drossinos N, Guo Q. Advances in semantic dementia: Neuropsychology, pathology & neuroimaging. Ageing Res Rev 2024; 99:102375. [PMID: 38866186 DOI: 10.1016/j.arr.2024.102375] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2023] [Revised: 06/03/2024] [Accepted: 06/04/2024] [Indexed: 06/14/2024]
Abstract
Semantic dementia is a kind of neurodegenerative disorder, characterized by prominent semantic impairments and anterior temporal lobe atrophy. Since 2010, more studies have devoted to this rare disorder, revealing that it is more complex than we think. Clinical advances include more specific findings of semantic impairments and other higher order cognitive deficits. Neuroimaging techniques can help revealing the different brain networks affected (both structurally and functionally) in this condition. Pathological and genetic studies have also found more complex situations of semantic dementia, which might explain the huge variance existing in semantic dementia. Moreover, the current diagnosis criteria mainly focus on semantic dementia's classical prototype. We further delineated the features of three subtypes of semantic dementia based on atrophy lateralization with three severity stages. In a broader background, as a part of the continuum of neurodegenerative disorders, semantic dementia is commonly compared with other resembling conditions. Therefore, we summarized the differential diagnosis between semantic dementia and them. Finally, we introduced the challenges and achievements of its diagnosis, treatment, care and cross cultural comparison. By providing a comprehensive picture of semantic dementia on different aspects of advances, we hope to deepen the understanding of semantic dementia and promote more inspirations on both clinical and theoretical studies about it.
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Affiliation(s)
- Junhua Ding
- Department of Gerontology, Shanghai Sixth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - Qing Yang
- Department of Rehabilitation, Hushan Hospital, Fudan University, Shanghai, China
| | - Niki Drossinos
- Division of Psychology, Communication and Human Neuroscience, University of Manchester, Manchester, UK
| | - Qihao Guo
- Department of Gerontology, Shanghai Sixth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
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Wang S, Zhang X. Exploring the Impact of Online Medical Team Engagement on Patient Satisfaction: A Semantic Features Perspective. Healthcare (Basel) 2024; 12:1113. [PMID: 38891188 PMCID: PMC11171994 DOI: 10.3390/healthcare12111113] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2024] [Revised: 05/11/2024] [Accepted: 05/27/2024] [Indexed: 06/21/2024] Open
Abstract
Online medical teams (OMTs), a new mode of online healthcare service, have emerged in online health communities (OHCs) in China. This study attempts to explore the underlying mechanism of how OMTs' engagement influences patient satisfaction through the lens of semantic features. This study also scrutinizes the moderating effect of multiple specializations on the link between OMTs' engagement and semantic features. We utilized a linear model that had fixed effects controlled at the team level for analysis. A bootstrapping approach using 5000 samples was employed to test the mediation effects. The findings reveal that OMTs' engagement significantly improves language concreteness in online team consultations, which subsequently enhances patient satisfaction. OMT engagement has a negative impact on emotional intensity, ultimately decreasing patient satisfaction. Multiple specializations strengthen the impact of OMT engagement on both language concreteness and emotional intensity. This study contributes to the literature on OMTs and patient satisfaction, providing insights into patients' perceptions of OMTs' engagement during online team consultation. This study also generates several implications for the practice of OHCs and OMTs.
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Affiliation(s)
| | - Xiaofei Zhang
- Business School, Nankai University, Tianjin 300071, China;
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Ramage AE, Greenslade KJ, Cote K, Lee JN, Fox CM, Halpern A, Ramig LO. Narrative analysis in individuals with Parkinson's disease following intensive voice treatment: secondary outcome variables from a randomized controlled trial. Front Hum Neurosci 2024; 18:1394948. [PMID: 38841124 PMCID: PMC11150807 DOI: 10.3389/fnhum.2024.1394948] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2024] [Accepted: 04/18/2024] [Indexed: 06/07/2024] Open
Abstract
Communication is often impaired in individuals with Parkinson's disease (PD), typically secondary to sensorimotor deficits impacting voice and speech. Language may also be diminished in PD, particularly for production and comprehension of verbs. Evidence exists that verb processing is influenced by motor system modulation suggesting that verb deficits in PD are underpinned by similarities in the neural representations of actions that span motor and semantic systems. Conversely, subtle differences in cognition in PD may explain difficulty in processing of complex syntactic forms, which increases cognitive demand and is linked to verb use. Here we investigated whether optimizing motor system support for vocal function (improving loudness) affects change in lexical semantic, syntactic, or informativeness aspects of spoken discourse. Picture description narratives were compared for 20 Control participants and 39 with PD, 19 of whom underwent Lee Silverman Voice Treatment (LSVT LOUD®). Treated PD narratives were also contrasted with those of untreated PD and Control participants at Baseline and after treatment. Controls differed significantly from the 39 PD participants for verbs per utterance, but this difference was largely driven by untreated PD participants who produced few utterances but with verbs, inflating their verbs per utterance. Given intervention, there was a significant increase in vocal loudness but no significant changes in language performance. These data do not support the hypothesis that targeting this speech motor system results in improved language production. Instead, the data provide evidence of considerable variability in measures of language production across groups, particularly in verbs per utterance.
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Affiliation(s)
- Amy E. Ramage
- Department of Communication Sciences and Disorders, Durham, NH, United States
- Interdisciplinary Program in Neuroscience and Behavior, University of New Hampshire, Durham, NH, United States
| | | | - Kaila Cote
- Department of Communication Sciences and Disorders, Durham, NH, United States
| | - Jessica N. Lee
- Department of Communication Sciences and Disorders, Durham, NH, United States
| | | | | | - Lorraine O. Ramig
- LSVT Global, Inc., Tucson, AZ, United States
- Teachers College, Columbia University, Communication Sciences and Disorders, New York, NY, United States
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Nevler N, Cho S, Cousins KAQ, Ash S, Olm CA, Shellikeri S, Agmon G, Gonzalez-Recober C, Xie SX, Barker MS, Manoochehri M, Mcmillan CT, Irwin DJ, Massimo L, Dratch L, Cheran G, Huey ED, Cosentino SA, Van Deerlin VM, Liberman MY, Grossman M. Changes in Digital Speech Measures in Asymptomatic Carriers of Pathogenic Variants Associated With Frontotemporal Degeneration. Neurology 2024; 102:e207926. [PMID: 38165329 PMCID: PMC11407502 DOI: 10.1212/wnl.0000000000207926] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2023] [Accepted: 10/03/2023] [Indexed: 01/03/2024] Open
Abstract
BACKGROUND AND OBJECTIVES Clinical trials developing therapeutics for frontotemporal degeneration (FTD) focus on pathogenic variant carriers at preclinical stages. Objective, quantitative clinical assessment tools are needed to track stability and delayed disease onset. Natural speech can serve as an accessible, cost-effective assessment tool. We aimed to identify early changes in the natural speech of FTD pathogenic variant carriers before they become symptomatic. METHODS In this cohort study, speech samples of picture descriptions were collected longitudinally from healthy participants in observational studies at the University of Pennsylvania and Columbia University between 2007 and 2020. Participants were asymptomatic but at risk for familial FTD. Status as "carrier" or "noncarrier" was based on screening for known pathogenic variants in the participant's family. Thirty previously validated digital speech measures derived from automatic speech processing pipelines were selected a priori based on previous studies in patients with FTD and compared between asymptomatic carriers and noncarriers cross-sectionally and longitudinally. RESULTS A total of 105 participants, all asymptomatic, included 41 carriers: 12 men [30%], mean age 43 ± 13 years; education, 16 ± 2 years; MMSE 29 ± 1; and 64 noncarriers: 27 men [42%]; mean age, 48 ± 14 years; education, 15 ± 3 years; MMSE 29 ± 1. We identified 4 speech measures that differed between carriers and noncarriers at baseline: mean speech segment duration (mean difference -0.28 seconds, 95% CI -0.55 to -0.02, p = 0.04); word frequency (mean difference 0.07, 95% CI 0.008-0.14, p = 0.03); word ambiguity (mean difference 0.02, 95% CI 0.0008-0.05, p = 0.04); and interjection count per 100 words (mean difference 0.33, 95% CI 0.07-0.59, p = 0.01). Three speech measures deteriorated over time in carriers only: particle count per 100 words per month (β = -0.02, 95% CI -0.03 to -0.004, p = 0.009); total narrative production time in seconds per month (β = -0.24, 95% CI -0.37 to -0.12, p < 0.001); and total number of words per month (β = -0.48, 95% CI -0.78 to -0.19, p = 0.002) including in 3 carriers who later converted to symptomatic disease. DISCUSSION Using automatic processing pipelines, we identified early changes in the natural speech of FTD pathogenic variant carriers in the presymptomatic stage. These findings highlight the potential utility of natural speech as a digital clinical outcome assessment tool in FTD, where objective and quantifiable measures for abnormal behavior and language are lacking.
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Affiliation(s)
- Naomi Nevler
- From the Frontotemporal Degeneration Center, Department of Neurology, (N.N., K.A.Q.C., S.A., C.A.O., S.S., G.A., C.G.-R., C.T.M., D.J.I., L.M., L.D., M.G.), Linguistic Data Consortium, Department of Linguistics (S.C., M.Y.L.), Penn Image Computing and Science Laboratory, Department of Radiology (C.A.O.), Department of Biostatistics, Epidemiology and Informatics (S.X.X.), and Department of Pathology and Laboratory Medicine (V.M.V.D.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; Taub Institute for Research on Alzheimer's Disease and the Aging Brain (M.S.B.,M.M., G.C., E.D.H., S.A.C.); and Department of Neurology (G.C., E.D.H., S.A.C.) and Gertrude H. Sergievsky Center (S.A.C.), Columbia University Irving Medical Center, New York
| | - Sunghye Cho
- From the Frontotemporal Degeneration Center, Department of Neurology, (N.N., K.A.Q.C., S.A., C.A.O., S.S., G.A., C.G.-R., C.T.M., D.J.I., L.M., L.D., M.G.), Linguistic Data Consortium, Department of Linguistics (S.C., M.Y.L.), Penn Image Computing and Science Laboratory, Department of Radiology (C.A.O.), Department of Biostatistics, Epidemiology and Informatics (S.X.X.), and Department of Pathology and Laboratory Medicine (V.M.V.D.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; Taub Institute for Research on Alzheimer's Disease and the Aging Brain (M.S.B.,M.M., G.C., E.D.H., S.A.C.); and Department of Neurology (G.C., E.D.H., S.A.C.) and Gertrude H. Sergievsky Center (S.A.C.), Columbia University Irving Medical Center, New York
| | - Katheryn A Q Cousins
- From the Frontotemporal Degeneration Center, Department of Neurology, (N.N., K.A.Q.C., S.A., C.A.O., S.S., G.A., C.G.-R., C.T.M., D.J.I., L.M., L.D., M.G.), Linguistic Data Consortium, Department of Linguistics (S.C., M.Y.L.), Penn Image Computing and Science Laboratory, Department of Radiology (C.A.O.), Department of Biostatistics, Epidemiology and Informatics (S.X.X.), and Department of Pathology and Laboratory Medicine (V.M.V.D.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; Taub Institute for Research on Alzheimer's Disease and the Aging Brain (M.S.B.,M.M., G.C., E.D.H., S.A.C.); and Department of Neurology (G.C., E.D.H., S.A.C.) and Gertrude H. Sergievsky Center (S.A.C.), Columbia University Irving Medical Center, New York
| | - Sharon Ash
- From the Frontotemporal Degeneration Center, Department of Neurology, (N.N., K.A.Q.C., S.A., C.A.O., S.S., G.A., C.G.-R., C.T.M., D.J.I., L.M., L.D., M.G.), Linguistic Data Consortium, Department of Linguistics (S.C., M.Y.L.), Penn Image Computing and Science Laboratory, Department of Radiology (C.A.O.), Department of Biostatistics, Epidemiology and Informatics (S.X.X.), and Department of Pathology and Laboratory Medicine (V.M.V.D.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; Taub Institute for Research on Alzheimer's Disease and the Aging Brain (M.S.B.,M.M., G.C., E.D.H., S.A.C.); and Department of Neurology (G.C., E.D.H., S.A.C.) and Gertrude H. Sergievsky Center (S.A.C.), Columbia University Irving Medical Center, New York
| | - Christopher A Olm
- From the Frontotemporal Degeneration Center, Department of Neurology, (N.N., K.A.Q.C., S.A., C.A.O., S.S., G.A., C.G.-R., C.T.M., D.J.I., L.M., L.D., M.G.), Linguistic Data Consortium, Department of Linguistics (S.C., M.Y.L.), Penn Image Computing and Science Laboratory, Department of Radiology (C.A.O.), Department of Biostatistics, Epidemiology and Informatics (S.X.X.), and Department of Pathology and Laboratory Medicine (V.M.V.D.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; Taub Institute for Research on Alzheimer's Disease and the Aging Brain (M.S.B.,M.M., G.C., E.D.H., S.A.C.); and Department of Neurology (G.C., E.D.H., S.A.C.) and Gertrude H. Sergievsky Center (S.A.C.), Columbia University Irving Medical Center, New York
| | - Sanjana Shellikeri
- From the Frontotemporal Degeneration Center, Department of Neurology, (N.N., K.A.Q.C., S.A., C.A.O., S.S., G.A., C.G.-R., C.T.M., D.J.I., L.M., L.D., M.G.), Linguistic Data Consortium, Department of Linguistics (S.C., M.Y.L.), Penn Image Computing and Science Laboratory, Department of Radiology (C.A.O.), Department of Biostatistics, Epidemiology and Informatics (S.X.X.), and Department of Pathology and Laboratory Medicine (V.M.V.D.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; Taub Institute for Research on Alzheimer's Disease and the Aging Brain (M.S.B.,M.M., G.C., E.D.H., S.A.C.); and Department of Neurology (G.C., E.D.H., S.A.C.) and Gertrude H. Sergievsky Center (S.A.C.), Columbia University Irving Medical Center, New York
| | - Galit Agmon
- From the Frontotemporal Degeneration Center, Department of Neurology, (N.N., K.A.Q.C., S.A., C.A.O., S.S., G.A., C.G.-R., C.T.M., D.J.I., L.M., L.D., M.G.), Linguistic Data Consortium, Department of Linguistics (S.C., M.Y.L.), Penn Image Computing and Science Laboratory, Department of Radiology (C.A.O.), Department of Biostatistics, Epidemiology and Informatics (S.X.X.), and Department of Pathology and Laboratory Medicine (V.M.V.D.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; Taub Institute for Research on Alzheimer's Disease and the Aging Brain (M.S.B.,M.M., G.C., E.D.H., S.A.C.); and Department of Neurology (G.C., E.D.H., S.A.C.) and Gertrude H. Sergievsky Center (S.A.C.), Columbia University Irving Medical Center, New York
| | - Carmen Gonzalez-Recober
- From the Frontotemporal Degeneration Center, Department of Neurology, (N.N., K.A.Q.C., S.A., C.A.O., S.S., G.A., C.G.-R., C.T.M., D.J.I., L.M., L.D., M.G.), Linguistic Data Consortium, Department of Linguistics (S.C., M.Y.L.), Penn Image Computing and Science Laboratory, Department of Radiology (C.A.O.), Department of Biostatistics, Epidemiology and Informatics (S.X.X.), and Department of Pathology and Laboratory Medicine (V.M.V.D.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; Taub Institute for Research on Alzheimer's Disease and the Aging Brain (M.S.B.,M.M., G.C., E.D.H., S.A.C.); and Department of Neurology (G.C., E.D.H., S.A.C.) and Gertrude H. Sergievsky Center (S.A.C.), Columbia University Irving Medical Center, New York
| | - Sharon X Xie
- From the Frontotemporal Degeneration Center, Department of Neurology, (N.N., K.A.Q.C., S.A., C.A.O., S.S., G.A., C.G.-R., C.T.M., D.J.I., L.M., L.D., M.G.), Linguistic Data Consortium, Department of Linguistics (S.C., M.Y.L.), Penn Image Computing and Science Laboratory, Department of Radiology (C.A.O.), Department of Biostatistics, Epidemiology and Informatics (S.X.X.), and Department of Pathology and Laboratory Medicine (V.M.V.D.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; Taub Institute for Research on Alzheimer's Disease and the Aging Brain (M.S.B.,M.M., G.C., E.D.H., S.A.C.); and Department of Neurology (G.C., E.D.H., S.A.C.) and Gertrude H. Sergievsky Center (S.A.C.), Columbia University Irving Medical Center, New York
| | - Megan S Barker
- From the Frontotemporal Degeneration Center, Department of Neurology, (N.N., K.A.Q.C., S.A., C.A.O., S.S., G.A., C.G.-R., C.T.M., D.J.I., L.M., L.D., M.G.), Linguistic Data Consortium, Department of Linguistics (S.C., M.Y.L.), Penn Image Computing and Science Laboratory, Department of Radiology (C.A.O.), Department of Biostatistics, Epidemiology and Informatics (S.X.X.), and Department of Pathology and Laboratory Medicine (V.M.V.D.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; Taub Institute for Research on Alzheimer's Disease and the Aging Brain (M.S.B.,M.M., G.C., E.D.H., S.A.C.); and Department of Neurology (G.C., E.D.H., S.A.C.) and Gertrude H. Sergievsky Center (S.A.C.), Columbia University Irving Medical Center, New York
| | - Masood Manoochehri
- From the Frontotemporal Degeneration Center, Department of Neurology, (N.N., K.A.Q.C., S.A., C.A.O., S.S., G.A., C.G.-R., C.T.M., D.J.I., L.M., L.D., M.G.), Linguistic Data Consortium, Department of Linguistics (S.C., M.Y.L.), Penn Image Computing and Science Laboratory, Department of Radiology (C.A.O.), Department of Biostatistics, Epidemiology and Informatics (S.X.X.), and Department of Pathology and Laboratory Medicine (V.M.V.D.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; Taub Institute for Research on Alzheimer's Disease and the Aging Brain (M.S.B.,M.M., G.C., E.D.H., S.A.C.); and Department of Neurology (G.C., E.D.H., S.A.C.) and Gertrude H. Sergievsky Center (S.A.C.), Columbia University Irving Medical Center, New York
| | - Corey T Mcmillan
- From the Frontotemporal Degeneration Center, Department of Neurology, (N.N., K.A.Q.C., S.A., C.A.O., S.S., G.A., C.G.-R., C.T.M., D.J.I., L.M., L.D., M.G.), Linguistic Data Consortium, Department of Linguistics (S.C., M.Y.L.), Penn Image Computing and Science Laboratory, Department of Radiology (C.A.O.), Department of Biostatistics, Epidemiology and Informatics (S.X.X.), and Department of Pathology and Laboratory Medicine (V.M.V.D.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; Taub Institute for Research on Alzheimer's Disease and the Aging Brain (M.S.B.,M.M., G.C., E.D.H., S.A.C.); and Department of Neurology (G.C., E.D.H., S.A.C.) and Gertrude H. Sergievsky Center (S.A.C.), Columbia University Irving Medical Center, New York
| | - David J Irwin
- From the Frontotemporal Degeneration Center, Department of Neurology, (N.N., K.A.Q.C., S.A., C.A.O., S.S., G.A., C.G.-R., C.T.M., D.J.I., L.M., L.D., M.G.), Linguistic Data Consortium, Department of Linguistics (S.C., M.Y.L.), Penn Image Computing and Science Laboratory, Department of Radiology (C.A.O.), Department of Biostatistics, Epidemiology and Informatics (S.X.X.), and Department of Pathology and Laboratory Medicine (V.M.V.D.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; Taub Institute for Research on Alzheimer's Disease and the Aging Brain (M.S.B.,M.M., G.C., E.D.H., S.A.C.); and Department of Neurology (G.C., E.D.H., S.A.C.) and Gertrude H. Sergievsky Center (S.A.C.), Columbia University Irving Medical Center, New York
| | - Lauren Massimo
- From the Frontotemporal Degeneration Center, Department of Neurology, (N.N., K.A.Q.C., S.A., C.A.O., S.S., G.A., C.G.-R., C.T.M., D.J.I., L.M., L.D., M.G.), Linguistic Data Consortium, Department of Linguistics (S.C., M.Y.L.), Penn Image Computing and Science Laboratory, Department of Radiology (C.A.O.), Department of Biostatistics, Epidemiology and Informatics (S.X.X.), and Department of Pathology and Laboratory Medicine (V.M.V.D.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; Taub Institute for Research on Alzheimer's Disease and the Aging Brain (M.S.B.,M.M., G.C., E.D.H., S.A.C.); and Department of Neurology (G.C., E.D.H., S.A.C.) and Gertrude H. Sergievsky Center (S.A.C.), Columbia University Irving Medical Center, New York
| | - Laynie Dratch
- From the Frontotemporal Degeneration Center, Department of Neurology, (N.N., K.A.Q.C., S.A., C.A.O., S.S., G.A., C.G.-R., C.T.M., D.J.I., L.M., L.D., M.G.), Linguistic Data Consortium, Department of Linguistics (S.C., M.Y.L.), Penn Image Computing and Science Laboratory, Department of Radiology (C.A.O.), Department of Biostatistics, Epidemiology and Informatics (S.X.X.), and Department of Pathology and Laboratory Medicine (V.M.V.D.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; Taub Institute for Research on Alzheimer's Disease and the Aging Brain (M.S.B.,M.M., G.C., E.D.H., S.A.C.); and Department of Neurology (G.C., E.D.H., S.A.C.) and Gertrude H. Sergievsky Center (S.A.C.), Columbia University Irving Medical Center, New York
| | - Gayathri Cheran
- From the Frontotemporal Degeneration Center, Department of Neurology, (N.N., K.A.Q.C., S.A., C.A.O., S.S., G.A., C.G.-R., C.T.M., D.J.I., L.M., L.D., M.G.), Linguistic Data Consortium, Department of Linguistics (S.C., M.Y.L.), Penn Image Computing and Science Laboratory, Department of Radiology (C.A.O.), Department of Biostatistics, Epidemiology and Informatics (S.X.X.), and Department of Pathology and Laboratory Medicine (V.M.V.D.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; Taub Institute for Research on Alzheimer's Disease and the Aging Brain (M.S.B.,M.M., G.C., E.D.H., S.A.C.); and Department of Neurology (G.C., E.D.H., S.A.C.) and Gertrude H. Sergievsky Center (S.A.C.), Columbia University Irving Medical Center, New York
| | - Edward D Huey
- From the Frontotemporal Degeneration Center, Department of Neurology, (N.N., K.A.Q.C., S.A., C.A.O., S.S., G.A., C.G.-R., C.T.M., D.J.I., L.M., L.D., M.G.), Linguistic Data Consortium, Department of Linguistics (S.C., M.Y.L.), Penn Image Computing and Science Laboratory, Department of Radiology (C.A.O.), Department of Biostatistics, Epidemiology and Informatics (S.X.X.), and Department of Pathology and Laboratory Medicine (V.M.V.D.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; Taub Institute for Research on Alzheimer's Disease and the Aging Brain (M.S.B.,M.M., G.C., E.D.H., S.A.C.); and Department of Neurology (G.C., E.D.H., S.A.C.) and Gertrude H. Sergievsky Center (S.A.C.), Columbia University Irving Medical Center, New York
| | - Stephanie A Cosentino
- From the Frontotemporal Degeneration Center, Department of Neurology, (N.N., K.A.Q.C., S.A., C.A.O., S.S., G.A., C.G.-R., C.T.M., D.J.I., L.M., L.D., M.G.), Linguistic Data Consortium, Department of Linguistics (S.C., M.Y.L.), Penn Image Computing and Science Laboratory, Department of Radiology (C.A.O.), Department of Biostatistics, Epidemiology and Informatics (S.X.X.), and Department of Pathology and Laboratory Medicine (V.M.V.D.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; Taub Institute for Research on Alzheimer's Disease and the Aging Brain (M.S.B.,M.M., G.C., E.D.H., S.A.C.); and Department of Neurology (G.C., E.D.H., S.A.C.) and Gertrude H. Sergievsky Center (S.A.C.), Columbia University Irving Medical Center, New York
| | - Vivianna M Van Deerlin
- From the Frontotemporal Degeneration Center, Department of Neurology, (N.N., K.A.Q.C., S.A., C.A.O., S.S., G.A., C.G.-R., C.T.M., D.J.I., L.M., L.D., M.G.), Linguistic Data Consortium, Department of Linguistics (S.C., M.Y.L.), Penn Image Computing and Science Laboratory, Department of Radiology (C.A.O.), Department of Biostatistics, Epidemiology and Informatics (S.X.X.), and Department of Pathology and Laboratory Medicine (V.M.V.D.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; Taub Institute for Research on Alzheimer's Disease and the Aging Brain (M.S.B.,M.M., G.C., E.D.H., S.A.C.); and Department of Neurology (G.C., E.D.H., S.A.C.) and Gertrude H. Sergievsky Center (S.A.C.), Columbia University Irving Medical Center, New York
| | - Mark Y Liberman
- From the Frontotemporal Degeneration Center, Department of Neurology, (N.N., K.A.Q.C., S.A., C.A.O., S.S., G.A., C.G.-R., C.T.M., D.J.I., L.M., L.D., M.G.), Linguistic Data Consortium, Department of Linguistics (S.C., M.Y.L.), Penn Image Computing and Science Laboratory, Department of Radiology (C.A.O.), Department of Biostatistics, Epidemiology and Informatics (S.X.X.), and Department of Pathology and Laboratory Medicine (V.M.V.D.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; Taub Institute for Research on Alzheimer's Disease and the Aging Brain (M.S.B.,M.M., G.C., E.D.H., S.A.C.); and Department of Neurology (G.C., E.D.H., S.A.C.) and Gertrude H. Sergievsky Center (S.A.C.), Columbia University Irving Medical Center, New York
| | - Murray Grossman
- From the Frontotemporal Degeneration Center, Department of Neurology, (N.N., K.A.Q.C., S.A., C.A.O., S.S., G.A., C.G.-R., C.T.M., D.J.I., L.M., L.D., M.G.), Linguistic Data Consortium, Department of Linguistics (S.C., M.Y.L.), Penn Image Computing and Science Laboratory, Department of Radiology (C.A.O.), Department of Biostatistics, Epidemiology and Informatics (S.X.X.), and Department of Pathology and Laboratory Medicine (V.M.V.D.), Perelman School of Medicine, University of Pennsylvania, Philadelphia; Taub Institute for Research on Alzheimer's Disease and the Aging Brain (M.S.B.,M.M., G.C., E.D.H., S.A.C.); and Department of Neurology (G.C., E.D.H., S.A.C.) and Gertrude H. Sergievsky Center (S.A.C.), Columbia University Irving Medical Center, New York
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6
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Grossman M, Seeley WW, Boxer AL, Hillis AE, Knopman DS, Ljubenov PA, Miller B, Piguet O, Rademakers R, Whitwell JL, Zetterberg H, van Swieten JC. Frontotemporal lobar degeneration. Nat Rev Dis Primers 2023; 9:40. [PMID: 37563165 DOI: 10.1038/s41572-023-00447-0] [Citation(s) in RCA: 26] [Impact Index Per Article: 26.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 06/12/2023] [Indexed: 08/12/2023]
Abstract
Frontotemporal lobar degeneration (FTLD) is one of the most common causes of early-onset dementia and presents with early social-emotional-behavioural and/or language changes that can be accompanied by a pyramidal or extrapyramidal motor disorder. About 20-25% of individuals with FTLD are estimated to carry a mutation associated with a specific FTLD pathology. The discovery of these mutations has led to important advances in potentially disease-modifying treatments that aim to slow progression or delay disease onset and has improved understanding of brain functioning. In both mutation carriers and those with sporadic disease, the most common underlying diagnoses are linked to neuronal and glial inclusions containing tau (FTLD-tau) or TDP-43 (FTLD-TDP), although 5-10% of patients may have inclusions containing proteins from the FUS-Ewing sarcoma-TAF15 family (FTLD-FET). Biomarkers definitively identifying specific pathological entities in sporadic disease have been elusive, which has impeded development of disease-modifying treatments. Nevertheless, disease-monitoring biofluid and imaging biomarkers are becoming increasingly sophisticated and are likely to serve as useful measures of treatment response during trials of disease-modifying treatments. Symptomatic trials using novel approaches such as transcranial direct current stimulation are also beginning to show promise.
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Affiliation(s)
- Murray Grossman
- Department of Neurology and Penn Frontotemporal Degeneration Center, University of Pennsylvania, Philadelphia, PA, USA
| | - William W Seeley
- Departments of Neurology and Memory and Aging Center, University of California, San Francisco, San Francisco, CA, USA.
- Department of Pathology, University of California, San Francisco, San Francisco, CA, USA.
| | - Adam L Boxer
- Departments of Neurology and Memory and Aging Center, University of California, San Francisco, San Francisco, CA, USA
| | - Argye E Hillis
- Department of Neurology, Johns Hopkins University, Baltimore, MD, USA
| | | | - Peter A Ljubenov
- Departments of Neurology and Memory and Aging Center, University of California, San Francisco, San Francisco, CA, USA
| | - Bruce Miller
- Departments of Neurology and Memory and Aging Center, University of California, San Francisco, San Francisco, CA, USA
| | - Olivier Piguet
- School of Psychology and Brain and Mind Center, University of Sydney, Sydney, New South Wales, Australia
| | - Rosa Rademakers
- VIB Center for Molecular Neurology, University of Antwerp, Antwerp, Belgium
| | | | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The University of Gothenburg, Mölndal, Sweden
- Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
- Department of Neurodegenerative Disease, UCL Institute of Neurology, London, UK
- UK Dementia Research Institute at UCL, London, UK
- Hong Kong Center for Neurodegenerative Diseases, Clear Water Bay, Hong Kong, China
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA
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7
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Huang L, Cui L, Chen K, Han Z, Guo Q. Functional and structural network changes related with cognition in semantic dementia longitudinally. Hum Brain Mapp 2023; 44:4287-4298. [PMID: 37209400 PMCID: PMC10318263 DOI: 10.1002/hbm.26345] [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: 01/02/2023] [Revised: 04/06/2023] [Accepted: 05/01/2023] [Indexed: 05/22/2023] Open
Abstract
Longitudinal changes in the white matter/functional brain networks of semantic dementia (SD), as well as their relations with cognition remain unclear. Using a graph-theoretic method, we examined the neuroimaging (T1, diffusion tensor imaging, functional MRI) network properties and cognitive performance in processing semantic knowledge of general and six modalities (i.e., object form, color, motion, sound, manipulation and function) from 31 patients (at two time points with an interval of 2 years) and 20 controls (only at baseline). Partial correlation analyses were carried out to explore the relationships between the network changes and the declines of semantic performance. SD exhibited aberrant general and modality-specific semantic impairment, and gradually worsened over time. Overall, the brain networks showed a decreased global and local efficiency in the functional network organization but a preserved structural network organization with a 2-year follow-up. With disease progression, both structural and functional alterations were found to be extended to the temporal and frontal lobes. The regional topological alteration in the left inferior temporal gyrus (ITG.L) was significantly correlated with general semantic processing. Meanwhile, the right superior temporal gyrus and right supplementary motor area were identified to be associated with color and motor-related semantic attributes. SD manifested disrupted structural and functional network pattern longitudinally. We proposed a hub region (i.e., ITG.L) of semantic network and distributed modality-specific semantic-related regions. These findings support the hub-and-spoke semantic theory and provide targets for future therapy.
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Affiliation(s)
- Lin Huang
- Department of GerontologyShanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of MedicineShanghaiChina
| | - Liang Cui
- Department of GerontologyShanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of MedicineShanghaiChina
| | - Keliang Chen
- Department of Neurology, Huashan HospitalFudan UniversityShanghaiChina
| | - Zaizhu Han
- State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain ResearchBeijing Normal UniversityBeijingChina
| | - Qihao Guo
- Department of GerontologyShanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of MedicineShanghaiChina
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8
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Mancano M, Papagno C. Concrete and Abstract Concepts in Primary Progressive Aphasia and Alzheimer's Disease: A Scoping Review. Brain Sci 2023; 13:765. [PMID: 37239237 PMCID: PMC10216362 DOI: 10.3390/brainsci13050765] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2023] [Revised: 04/28/2023] [Accepted: 05/04/2023] [Indexed: 05/28/2023] Open
Abstract
The concreteness effect (CE), namely a better performance with concrete compared to abstract concepts, is a constant feature in healthy people, and it usually increases in persons with aphasia (PWA). However, a reversal of the CE has been reported in patients affected by the semantic variant of Primary Progressive Aphasia (svPPA), a neurodegenerative disease characterized by anterior temporal lobe (ATL) atrophy. The present scoping review aims at identifying the extent of evidence regarding the abstract/concrete contrast in Alzheimer's disease (AD) and svPPA and associated brain atrophy. Five online databases were searched up to January 2023 to identify papers where both concrete and abstract concepts were investigated. Thirty-one papers were selected and showed that while in patients with AD, concrete words were better processes than abstract ones, in most svPPA patients, there was a reversal of the CE, with five studies correlating the size of this effect with ATL atrophy. Furthermore, the reversal of CE was associated with category-specific impairments (living things) and with a selective deficit of social words. Future work is needed to disentangle the role of specific portions of the ATL in concept representation.
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Affiliation(s)
- Martina Mancano
- Center for Mind/Brain Sciences, University of Trento, 38068 Rovereto, Italy;
| | - Costanza Papagno
- Center for Mind/Brain Sciences, University of Trento, 38068 Rovereto, Italy;
- CISMed Interdepartmental Center for Medical Sciences, University of Trento, 38122 Trento, Italy
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9
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Stockbridge MD, Venezia JH, Vitti E, Tippett DC, Hillis AE. Verb Frequency and Density Drive Naming Performance in Primary Progressive Aphasia. APHASIOLOGY 2022; 37:1964-1980. [PMID: 38155815 PMCID: PMC10752624 DOI: 10.1080/02687038.2022.2142036] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/30/2023]
Abstract
Background Recent work has highlighted the utility of the Boston Naming Test and Hopkins Action Naming Assessment (HANA) for distinguishing between semantic (svPPA), logopenic (lvPPA) and non-fluent agrammatic (nfavPPA) variants of primary progressive aphasia (PPA). Aims To determine whether item level differences between variants on when naming verbs on the HANA were able to be accounted for using common variables of lexical interest: word frequency, semantic density, concreteness, or valency. We also examined three specific hypotheses: (1) svPPA and lvPPA may result in increased difficulty with decreased semantic density compared to nfavPPA; (2) svPPA may result in increased difficulty with decreased concreteness; and (3) nfavPPA may result in increased difficulty with high syntactic valency. Methods & Procedures 268 patients with PPA were evaluated using the HANA. A hierarchical Bayesian regression approach was adopted to account for effects of repeated measurement within participants and items. Outcomes & Results The main effects of variant and verb trait were significant in all models, as was the interaction for frequency, semantic density, and valency. Increasing frequency, semantic density, and concreteness led to better performance, while increasing valency led to poorer performance. Low semantic density contributed to greater difficulty in svPPA and lvPPA, but low concreteness did not uniquely impact verb naming in svPPA. Those with nfavPPA had no particular difficulty as a result of valency. Conclusions Prior studies have identified the independent effects of frequency and semantic density on verb naming in PPA, which were confirmed by our analyses, and the best predictions of the data were achieved by combining these dimensions. This investigation complements our previous work highlighting the value of the HANA for efficiently demonstrating verb performance in PPA.
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Affiliation(s)
- Melissa D. Stockbridge
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21287
| | - Jonathan H. Venezia
- VA Loma Linda Healthcare System, Loma Linda, CA 92357
- Department of Otolaryngology & Head and Neck Surgery, Loma Linda University School of Medicine, Loma Linda, CA 92350
| | - Emilia Vitti
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21287
| | - Donna C. Tippett
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21287
- Department of Otolaryngology – Head and Neck Surgery, Johns Hopkins University School of Medicine, Baltimore, MD 21287
- Department of Physical Medicine and Rehabilitation, Johns Hopkins University School of Medicine, Baltimore, MD 21287
| | - Argye E. Hillis
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21287
- Department of Physical Medicine and Rehabilitation, Johns Hopkins University School of Medicine, Baltimore, MD 21287
- Department of Cognitive Science, Krieger School of Arts and Sciences, Johns Hopkins University, Baltimore, MD 21218
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Saini V, Liang LL, Yang YC, Le HM, Wu CY. The Association Between Dissemination and Characteristics of Pro-/Anti-COVID-19 Vaccine Messages on Twitter: Application of the Elaboration Likelihood Model. JMIR INFODEMIOLOGY 2022; 2:e37077. [PMID: 35783451 PMCID: PMC9239316 DOI: 10.2196/37077] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/11/2022] [Revised: 05/28/2022] [Accepted: 06/16/2022] [Indexed: 01/16/2023]
Abstract
Background Messages on one's stance toward vaccination on microblogging sites may affect the reader's decision on whether to receive a vaccine. Understanding the dissemination of provaccine and antivaccine messages relating to COVID-19 on social media is crucial; however, studies on this topic have remained limited. Objective This study applies the elaboration likelihood model (ELM) to explore the characteristics of vaccine stance messages that may appeal to Twitter users. First, we examined the associations between the characteristics of vaccine stance tweets and the likelihood and number of retweets. Second, we identified the relative importance of the central and peripheral routes in decision-making on sharing a message. Methods English-language tweets from the United States that contained provaccine and antivaccine hashtags (N=150,338) were analyzed between April 26 and August 26, 2021. Logistic and generalized negative binomial regressions were conducted to predict retweet outcomes. The content-related central-route predictors were measured using the numbers of hashtags and mentions, emotional valence, emotional intensity, and concreteness. The content-unrelated peripheral-route predictors were measured using the numbers of likes and followers and whether the source was a verified user. Results Content-related characteristics played a prominent role in shaping decisions regarding whether to retweet antivaccine messages. Particularly, positive valence (incidence rate ratio [IRR]=1.32, P=.03) and concreteness (odds ratio [OR]=1.17, P=.01) were associated with higher numbers and likelihood of retweets of antivaccine messages, respectively; emotional intensity (subjectivity) was associated with fewer retweets of antivaccine messages (OR=0.78, P=.03; IRR=0.80, P=.04). However, these factors had either no or only small effects on the sharing of provaccine tweets. Retweets of provaccine messages were primarily determined by content-unrelated characteristics, such as the numbers of likes (OR=2.55, IRR=2.24, P<.001) and followers (OR=1.31, IRR=1.28, P<.001). Conclusions The dissemination of antivaccine messages is associated with both content-related and content-unrelated characteristics. By contrast, the dissemination of provaccine messages is primarily driven by content-unrelated characteristics. These findings signify the importance of leveraging the peripheral route to promote the dissemination of provaccine messages. Because antivaccine tweets with positive emotions, objective content, and concrete words are more likely to be disseminated, policymakers should pay attention to antivaccine messages with such characteristics.
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Affiliation(s)
- Vipin Saini
- Department of Information Management College of Management National Sun Yet-sen University Kaohsiung Taiwan
| | - Li-Lin Liang
- Institute of Public Health College of Medicine National Yang Ming Chiao Tung University Taipei Taiwan.,Department of Business Management College of Management National Sun Yat-sen University Kaohsiung Taiwan.,Research Center for Epidemic Prevention National Yang Ming Chiao Tung University Taipei Taiwan.,Health Innovation Center National Yang Ming Chiao Tung University Taipei Taiwan
| | - Yu-Chen Yang
- Department of Information Management College of Management National Sun Yet-sen University Kaohsiung Taiwan
| | - Huong Mai Le
- Department of Business Management College of Management National Sun Yat-sen University Kaohsiung Taiwan
| | - Chun-Ying Wu
- Research Center for Epidemic Prevention National Yang Ming Chiao Tung University Taipei Taiwan.,Health Innovation Center National Yang Ming Chiao Tung University Taipei Taiwan.,Institute of Biomedical Informatics College of Medicine National Yang Ming Chiao Tung University Taipei Taiwan
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11
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Geraudie A, Battista P, García AM, Allen IE, Miller ZA, Gorno-Tempini ML, Montembeault M. Speech and language impairments in behavioral variant frontotemporal dementia: A systematic review. Neurosci Biobehav Rev 2021; 131:1076-1095. [PMID: 34673112 DOI: 10.1016/j.neubiorev.2021.10.015] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2021] [Revised: 10/12/2021] [Accepted: 10/14/2021] [Indexed: 01/11/2023]
Abstract
Although behavioral variant frontotemporal dementia (bvFTD) is classically defined by behavioral and socio-emotional changes, impairments often extend to other cognitive functions. These include early speech and language deficits related to the disease's core neural disruptions. Yet, their scope and clinical relevance remains poorly understood. This systematic review characterizes such disturbances in bvFTD, considering clinically, neuroanatomically, genetically, and neuropathologically defined subgroups. We included 181 experimental studies, with at least 5 bvFTD patients diagnosed using accepted criteria, comparing speech and language outcomes between bvFTD patients and healthy controls or between bvFTD subgroups. Results reveal extensive and heterogeneous deficits across cohorts, with (a) consistent lexico-semantic, reading & writing, and prosodic impairments; (b) inconsistent deficits in motor speech and grammar; and (c) relative preservation of phonological skills. Also, preliminary findings suggest that the severity of speech and language deficits might be associated with global cognitive impairment, predominantly temporal or fronto-temporal atrophy and MAPT mutations (vs C9orf72). Although under-recognized, these impairments contribute to patient characterization and phenotyping, while potentially informing diagnosis and management.
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Affiliation(s)
- Amandine Geraudie
- Memory and Aging Center, Department of Neurology, University of California San Francisco, CA, USA; Neurology Department, Toulouse University Hospital, Toulouse, France
| | - Petronilla Battista
- Memory and Aging Center, Department of Neurology, University of California San Francisco, CA, USA; Global Brain Health Institute, University of California, San Francisco, USA; Istituti Clinici Scientifici Maugeri IRCCS, Institute of Bari, Via Generale Nicola Bellomo, Bari, Italy
| | - Adolfo M García
- Global Brain Health Institute, University of California, San Francisco, USA; Universidad De San Andrés, Buenos Aires, Argentina; National Scientific and Technical Research Council (CONICET), Buenos Aires, Argentina; Departamento de Lingüística y Literatura, Facultad de Humanidades, Universidad de Santiago de Chile, Santiago, Chile
| | - Isabel E Allen
- Global Brain Health Institute, University of California, San Francisco, USA; Department of Epidemiology & Biostatistics, University of California San Francisco, CA, USA
| | - Zachary A Miller
- Memory and Aging Center, Department of Neurology, University of California San Francisco, CA, USA
| | - Maria Luisa Gorno-Tempini
- Memory and Aging Center, Department of Neurology, University of California San Francisco, CA, USA; Global Brain Health Institute, University of California, San Francisco, USA
| | - Maxime Montembeault
- Memory and Aging Center, Department of Neurology, University of California San Francisco, CA, USA.
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12
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Ulugut H, Stek S, Wagemans LEE, Jutten RJ, Keulen MA, Bouwman FH, Prins ND, Lemstra AW, Krudop W, Teunissen CE, van Berckel BNM, Ossenkoppele R, Barkhof F, van der Flier WM, Scheltens P, Pijnenburg YAL. The natural history of primary progressive aphasia: beyond aphasia. J Neurol 2021; 269:1375-1385. [PMID: 34216263 PMCID: PMC8857134 DOI: 10.1007/s00415-021-10689-1] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2021] [Revised: 06/15/2021] [Accepted: 06/24/2021] [Indexed: 11/26/2022]
Abstract
INTRODUCTION Primary progressive aphasia (PPA) is divided into three prototypical subtypes that are all characterized by their single core symptom of aphasia. Although later in their course, other cognitive, behavioral, and motor domains may become involved, little is known about the progression profile of each subtype relative to the other subtypes. METHODS In this longitudinal retrospective cohort study, based on the recent biomarker-supported diagnostic criteria, 24 subjects diagnosed with semantic variant (svPPA), 22 with non-fluent variant (nfvPPA), and 18 with logopenic variant (lvPPA) were collected and followed up for 1-6 years. Symptom distribution, cognitive test and neuropsychiatric inventory scores, and progression into another syndrome were assessed. RESULTS Over time, lvPPA progressed with broader language problems (PPA-extended) and nfvPPA progressed to mutism, whereas semantic impairment remained the major problem in svPPA. Apart from linguistic problems, svPPA developed pronounced behavioral disturbances, whereas lvPPA exhibited a greater cognitive decline. By contrast, in nfvPPA motor deficits were more common. Furthermore, within 5 years (IQR = 2.5) after clinical onset, 65.6% of the patients additionally fulfilled the clinical criteria for another neurodegenerative syndrome (PPA-plus). Fourteen out of 24 (58%) svPPA patients additionally met the diagnostic criteria of behavioral variant frontotemporal dementia (5.1 years, IQR = 1.1), whereas the clinical features of 15/18 (83%) lvPPA patients were consistent with Alzheimer disease dementia (4.5 years IQR = 3.4). Furthermore, 12/22 (54%) of the subjects with the nfvPPA progressed to meet the diagnostic criteria of corticobasal syndrome, progressive supranuclear palsy, or motor neuron disease (5.1 years IQR = 3.4). DISCUSSION Despite aphasia being the initial and unique hallmark of the syndrome, our longitudinal results showed that PPA is not a language limited disorder and progression differs widely for each subtype, both with respect to the nature of symptoms and disease duration.
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Affiliation(s)
- Hulya Ulugut
- Department of Neurology, Alzheimer Center Amsterdam, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, De Boelelaan 1118, 1081 HZ, Amsterdam, The Netherlands.
| | - Simone Stek
- Department of Neurology, Alzheimer Center Amsterdam, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, De Boelelaan 1118, 1081 HZ, Amsterdam, The Netherlands
| | - Lianne E E Wagemans
- Department of Neurology, Alzheimer Center Amsterdam, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, De Boelelaan 1118, 1081 HZ, Amsterdam, The Netherlands
| | - Roos J Jutten
- Department of Neurology, Alzheimer Center Amsterdam, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, De Boelelaan 1118, 1081 HZ, Amsterdam, The Netherlands
| | - Maria Antoinette Keulen
- Department of Neurology, Alzheimer Center Amsterdam, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, De Boelelaan 1118, 1081 HZ, Amsterdam, The Netherlands
| | - Femke H Bouwman
- Department of Neurology, Alzheimer Center Amsterdam, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, De Boelelaan 1118, 1081 HZ, Amsterdam, The Netherlands
| | - Niels D Prins
- Department of Neurology, Alzheimer Center Amsterdam, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, De Boelelaan 1118, 1081 HZ, Amsterdam, The Netherlands
| | - Afina W Lemstra
- Department of Neurology, Alzheimer Center Amsterdam, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, De Boelelaan 1118, 1081 HZ, Amsterdam, The Netherlands
| | - Welmoed Krudop
- Department of Psychiatry, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Charlotte E Teunissen
- Neurological Laboratory Clinical Chemistry, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Bart N M van Berckel
- Department of Radiology and Nuclear Medicine, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Rik Ossenkoppele
- Department of Radiology and Nuclear Medicine, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
- Clinical Memory Research Unit, Lund University, Lund, Sweden
| | - Frederik Barkhof
- Department of Radiology and Nuclear Medicine, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
- UCL Institutes of Neurology and Healthcare Engineering, University College London, London, UK
| | - Wiesje M van der Flier
- Department of Neurology, Alzheimer Center Amsterdam, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, De Boelelaan 1118, 1081 HZ, Amsterdam, The Netherlands
- Department of Epidemiology and Biostatistics, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Philip Scheltens
- Department of Neurology, Alzheimer Center Amsterdam, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, De Boelelaan 1118, 1081 HZ, Amsterdam, The Netherlands
| | - Yolande A L Pijnenburg
- Department of Neurology, Alzheimer Center Amsterdam, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, De Boelelaan 1118, 1081 HZ, Amsterdam, The Netherlands
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Cho S, Nevler N, Ash S, Shellikeri S, Irwin DJ, Massimo L, Rascovsky K, Olm C, Grossman M, Liberman M. Automated analysis of lexical features in frontotemporal degeneration. Cortex 2021; 137:215-231. [PMID: 33640853 PMCID: PMC8044033 DOI: 10.1016/j.cortex.2021.01.012] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2020] [Revised: 07/26/2020] [Accepted: 01/22/2021] [Indexed: 12/14/2022]
Abstract
We implemented an automated analysis of lexical aspects of semi-structured speech produced by healthy elderly controls (n = 37) and three patient groups with frontotemporal degeneration (FTD): behavioral variant FTD (n = 74), semantic variant primary progressive aphasia (svPPA, n = 42), and nonfluent/agrammatic PPA (naPPA, n = 22). Based on previous findings, we hypothesized that the three patient groups and controls would differ in the counts of part-of-speech (POS) categories and several lexical measures. With a natural language processing program, we automatically tagged POS categories of all words produced during a picture description task. We further counted the number of wh-words, and we rated nouns for abstractness, ambiguity, frequency, familiarity, and age of acquisition. We also computed the cross-entropy estimation, where low cross-entropy indicates high predictability, and lexical diversity for each description. We validated a subset of the POS data that were automatically tagged with the Google Universal POS scheme using gold-standard POS data tagged by a linguist, and we found that the POS categories from our automated methods were more than 90% accurate. For svPPA patients, we found fewer unique nouns than in naPPA and more pronouns and wh-words than in the other groups. We also found high abstractness, ambiguity, frequency, and familiarity for nouns and the lowest cross-entropy estimation among all groups. These measures were associated with cortical thinning in the left temporal lobe. In naPPA patients, we found increased speech errors and partial words compared to controls, and these impairments were associated with cortical thinning in the left middle frontal gyrus. bvFTD patients' adjective production was decreased compared to controls and was correlated with their apathy scores. Their adjective production was associated with cortical thinning in the dorsolateral frontal and orbitofrontal gyri. Our results demonstrate distinct language profiles in subgroups of FTD patients and validate our automated method of analyzing FTD patients' speech.
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Affiliation(s)
- Sunghye Cho
- Linguistic Data Consortium, University of Pennsylvania, Philadelphia, PA, USA.
| | - Naomi Nevler
- Department of Neurology and Penn Frontotemporal Degeneration Center, University of Pennsylvania, Philadelphia, PA, USA
| | - Sharon Ash
- Department of Neurology and Penn Frontotemporal Degeneration Center, University of Pennsylvania, Philadelphia, PA, USA
| | - Sanjana Shellikeri
- Department of Neurology and Penn Frontotemporal Degeneration Center, University of Pennsylvania, Philadelphia, PA, USA
| | - David J Irwin
- Department of Neurology and Penn Frontotemporal Degeneration Center, University of Pennsylvania, Philadelphia, PA, USA
| | - Lauren Massimo
- Department of Neurology and Penn Frontotemporal Degeneration Center, University of Pennsylvania, Philadelphia, PA, USA
| | - Katya Rascovsky
- Department of Neurology and Penn Frontotemporal Degeneration Center, University of Pennsylvania, Philadelphia, PA, USA
| | - Christopher Olm
- Department of Neurology and Penn Frontotemporal Degeneration Center, University of Pennsylvania, Philadelphia, PA, USA; Department of Radiology and Penn Image Computing and Science Laboratory, University of Pennsylvania, Philadelphia, PA, USA
| | - Murray Grossman
- Department of Neurology and Penn Frontotemporal Degeneration Center, University of Pennsylvania, Philadelphia, PA, USA
| | - Mark Liberman
- Linguistic Data Consortium, University of Pennsylvania, Philadelphia, PA, USA
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Curet Burleson AX, Pham NTT, Buciuc M, Botha H, Duffy JR, Clark HM, Utianski RL, Machulda MM, Baker MC, Rademakers R, Lowe VJ, Whitwell JL, Josephs KA. Neurobehavioral Characteristics of FDG-PET Defined Right-Dominant Semantic Dementia: A Longitudinal Study. Dement Geriatr Cogn Disord 2021; 50:17-28. [PMID: 33756466 PMCID: PMC8243786 DOI: 10.1159/000513979] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/05/2020] [Accepted: 12/21/2020] [Indexed: 11/19/2022] Open
Abstract
INTRODUCTION Semantic dementia (SD) is characterized by fluent speech, anomia, and loss of word and object knowledge with varying degrees of right and left anterior-medial temporal lobe hypometabolism on [18F] fluorodeoxyglucose (FDG)-PET. We assessed neurobehavioral features in SD patients across 3 FDG-PET-defined metabolic patterns and investigated progression over time. METHODS Thirty-four patients with SD who completed FDG-PET were classified into a left- and right-dominant group based on the degree of hypometabolism in each temporal lobe. The left-dominant group was further subdivided depending on whether hypometabolism in the right temporal lobe was more or less than 2 standard deviations from controls (left+ group). Neurobehavioral characteristics determined using the Neuropsychiatric Inventory Questionnaire (NPI-Q) were compared across groups. Progression of NPI-Q scores and FDG-PET hypometabolism was assessed in 14 patients with longitudinal follow-up. RESULTS The right-dominant group performed worse on the NPI-Q and had a greater frequency of abnormal behaviors and more severe disinhibition compared to the left-dominant group. Performance on the NPI-Q and severity of disinhibition correlated with right medial and lateral, but not left, temporal lobe hypometabolism. Severity of abnormal behaviors worsened over time in most left-dominant and left+ patients but appeared to improve in the 2 right-dominant patients with longitudinal follow-up. All groups showed progressive worsening of metabolism in both temporal lobes over time, with hypometabolism spreading from anteromedial to posterior temporal regions. However, the degree of temporal lobe asymmetry remained relatively constant over time. CONCLUSION In SD, neurobehavioral features, especially disinhibition, are associated with right medial and lateral temporal lobe hypometabolism and commonly develop over time even in patients that present with left-dominant patterns of hypometabolism.
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Affiliation(s)
- Alexis X Curet Burleson
- Medical School of Puerto Rico, Rio Piedras Campus, Rio Piedras, Puerto Rico
- Department of Neurology, Mayo Clinic, Rochester, Minnesota, USA
| | | | - Marina Buciuc
- Department of Neurology, Mayo Clinic, Rochester, Minnesota, USA
| | - Hugo Botha
- Department of Neurology, Mayo Clinic, Rochester, Minnesota, USA
| | - Joseph R Duffy
- Department of Neurology, Mayo Clinic, Rochester, Minnesota, USA
| | - Heather M Clark
- Department of Neurology, Mayo Clinic, Rochester, Minnesota, USA
| | - Rene L Utianski
- Department of Neurology, Mayo Clinic, Rochester, Minnesota, USA
| | - Mary M Machulda
- Department of Psychiatry and Psychology, Mayo Clinic, Rochester, Minnesota, USA
| | - Matthew C Baker
- Department of Neuroscience, Mayo Clinic, Jacksonville, Florida, USA
| | - Rosa Rademakers
- Department of Neuroscience, Mayo Clinic, Jacksonville, Florida, USA
| | - Val J Lowe
- Department of Radiology, Mayo Clinic, Rochester, Minnesota, USA
| | | | - Keith A Josephs
- Department of Neurology, Mayo Clinic, Rochester, Minnesota, USA,
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15
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Cho S, Nevler N, Shellikeri S, Parjane N, Irwin DJ, Ryant N, Ash S, Cieri C, Liberman M, Grossman M. Lexical and Acoustic Characteristics of Young and Older Healthy Adults. JOURNAL OF SPEECH, LANGUAGE, AND HEARING RESEARCH : JSLHR 2021; 64:302-314. [PMID: 33439761 PMCID: PMC8632482 DOI: 10.1044/2020_jslhr-19-00384] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/06/2019] [Revised: 05/08/2020] [Accepted: 06/03/2020] [Indexed: 06/12/2023]
Abstract
Purpose This study examines the effect of age on language use with an automated analysis of digitized speech obtained from semistructured, narrative speech samples. Method We examined the Cookie Theft picture descriptions produced by 37 older and 76 young healthy participants. Using modern natural language processing and automatic speech recognition tools, we automatically annotated part-of-speech categories of all tokens, calculated the number of tense-inflected verbs, mean length of clause, and vocabulary diversity, and we rated nouns and verbs for five lexical features: word frequency, familiarity, concreteness, age of acquisition, and semantic ambiguity. We also segmented the speech signals into speech and silence and calculated acoustic features, such as total speech time, mean speech and pause segment durations, and pitch values. Results Older speakers produced significantly more fillers, pronouns, and verbs and fewer conjunctions, determiners, nouns, and prepositions than young participants. Older speakers' nouns and verbs were more familiar, more frequent (verbs only), and less ambiguous compared to those of young speakers. Older speakers produced shorter clauses with a lower vocabulary diversity than young participants. They also produced shorter speech segments and longer pauses with increased total speech time and total number of words. Lastly, we observed an interaction of age and sex in pitch ranges. Conclusions Our results suggest that older speakers' lexical content is less diverse, and these speakers produce shorter clauses than young participants in monologic, narrative speech. Our findings show that lexical and acoustic characteristics of semistructured speech samples can be examined with automated methods.
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Affiliation(s)
- Sunghye Cho
- Linguistic Data Consortium, University of Pennsylvania, Philadelphia
| | - Naomi Nevler
- Penn Frontotemporal Degeneration Center, University of Pennsylvania, Philadelphia
| | - Sanjana Shellikeri
- Penn Frontotemporal Degeneration Center, University of Pennsylvania, Philadelphia
| | - Natalia Parjane
- Penn Frontotemporal Degeneration Center, University of Pennsylvania, Philadelphia
| | - David J. Irwin
- Penn Frontotemporal Degeneration Center, University of Pennsylvania, Philadelphia
| | - Neville Ryant
- Linguistic Data Consortium, University of Pennsylvania, Philadelphia
| | - Sharon Ash
- Penn Frontotemporal Degeneration Center, University of Pennsylvania, Philadelphia
| | - Christopher Cieri
- Linguistic Data Consortium, University of Pennsylvania, Philadelphia
| | - Mark Liberman
- Linguistic Data Consortium, University of Pennsylvania, Philadelphia
| | - Murray Grossman
- Penn Frontotemporal Degeneration Center, University of Pennsylvania, Philadelphia
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16
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Wisse LEM, Ungrady MB, Ittyerah R, Lim SA, Yushkevich PA, Wolk DA, Irwin DJ, Das SR, Grossman M. Cross-sectional and longitudinal medial temporal lobe subregional atrophy patterns in semantic variant primary progressive aphasia. Neurobiol Aging 2021; 98:231-241. [PMID: 33341654 PMCID: PMC8018475 DOI: 10.1016/j.neurobiolaging.2020.11.012] [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: 01/27/2020] [Revised: 11/13/2020] [Accepted: 11/16/2020] [Indexed: 10/22/2022]
Abstract
T1-magnetic resonance imaging (MRI) studies report early atrophy in the left anterior temporal lobe, especially the perirhinal cortex, in semantic variant primary progressive aphasia (svPPA). Improved segmentation protocols using high-resolution T2-MRI have enabled fine-grained medial temporal lobe (MTL) subregional measurements, which may provide novel information on the atrophy pattern and disease progression in svPPA. We aimed to investigate the MTL subregional atrophy pattern cross-sectionally and longitudinally in patients with svPPA as compared with controls and patients with Alzheimer's disease (AD). MTL subregional volumes were obtained using the Automated Segmentation for Hippocampal Subfields software from high-resolution T2-MRIs in 15 svPPA, 37 AD, and 23 healthy controls. All MTL volumes were corrected for intracranial volume and parahippocampal cortices for slice number. Longitudinal atrophy rates of all subregions were obtained using an unbiased deformation-based morphometry pipeline in 6 svPPA patients, 9 controls, and 12 AD patients. Cross-sectionally, significant volume loss was observed in svPPA compared with controls in the left MTL, right cornu ammonis 1 (CA1), Brodmann area (BA)35, and BA36 (subdivisions of the perirhinal cortex). Compared with AD patients, svPPA patients had significantly smaller left CA1, BA35, and left and right BA36 volumes. Longitudinally, svPPA patients had significantly greater atrophy rates of left and right BA36 than controls but not relative to AD patients. Fine-grained analysis of MTL atrophy patterns provides information about the evolution of atrophy in svPPA. These results indicate that MTL subregional measures might be useful markers to track disease progression or for clinical trials in svPPA.
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Affiliation(s)
- Laura E M Wisse
- Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA; Department of Neurology, Penn Memory Center, University of Pennsylvania, Philadelphia, PA, USA; Department of Diagnostic Radiology, Lund University, Lund, Sweden.
| | - Molly B Ungrady
- Department of Neurology, Penn Frontotemporal Degeneration Center, University of Pennsylvania, Philadelphia, PA, USA
| | - Ranjit Ittyerah
- Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA
| | - Sydney A Lim
- Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA
| | - Paul A Yushkevich
- Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA
| | - David A Wolk
- Department of Neurology, Penn Memory Center, University of Pennsylvania, Philadelphia, PA, USA
| | - David J Irwin
- Department of Neurology, Penn Frontotemporal Degeneration Center, University of Pennsylvania, Philadelphia, PA, USA; Department of Pathology and Laboratory Medicine, University of Pennsylvania School of Medicine Center for Neurodegenerative Disease Research (CNDR), University of Pennsylvania, Philadelphia, PA, USA
| | - Sandhitsu R Das
- Department of Neurology, Penn Memory Center, University of Pennsylvania, Philadelphia, PA, USA
| | - Murray Grossman
- Department of Neurology, Penn Frontotemporal Degeneration Center, University of Pennsylvania, Philadelphia, PA, USA
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Cho S, Nevler N, Ash S, Shellikeri S, Irwin DJ, Massimo L, Rascovsky K, Olm C, Grossman M, Liberman M. Automated analysis of lexical features in Frontotemporal Degeneration. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2020:2020.09.10.20192054. [PMID: 33173922 PMCID: PMC7654918 DOI: 10.1101/2020.09.10.20192054] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
We implemented an automated analysis of lexical aspects of semi-structured speech produced by healthy elderly controls (n=37) and three patient groups with frontotemporal degeneration (FTD): behavioral variant FTD (n=74), semantic variant primary progressive aphasia (svPPA, n=42), and nonfluent/agrammatic PPA (naPPA, n=22). Based on previous findings, we hypothesized that the three patient groups and controls would differ in the counts of part-of-speech (POS) categories and several lexical measures. With a natural language processing program, we automatically tagged POS categories of all words produced during a picture description task. We further counted the number of wh -words, and we rated nouns for abstractness, ambiguity, frequency, familiarity, and age of acquisition. We also computed the cross-entropy estimation, which is a measure of word predictability, and lexical diversity for each description. We validated a subset of the POS data that were automatically tagged with the Google Universal POS scheme using gold-standard POS data tagged by a linguist, and we found that the POS categories from our automated methods were more than 90% accurate. For svPPA patients, we found fewer unique nouns than in naPPA and more pronouns and wh -words than in the other groups. We also found high abstractness, ambiguity, frequency, and familiarity for nouns and the lowest cross-entropy estimation among all groups. These measures were associated with cortical thinning in the left temporal lobe. In naPPA patients, we found increased speech errors and partial words compared to controls, and these impairments were associated with cortical thinning in the left middle frontal gyrus. bvFTD patients' adjective production was decreased compared to controls and was correlated with their apathy scores. Their adjective production was associated with cortical thinning in the dorsolateral frontal and orbitofrontal gyri. Our results demonstrate distinct language profiles in subgroups of FTD patients and validate our automated method of analyzing FTD patients' speech.
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Affiliation(s)
- Sunghye Cho
- Linguistic Data Consortium, University of Pennsylvania, Philadelphia, PA, USA
| | - Naomi Nevler
- Department of Neurology and Penn Frontotemporal Degeneration Center, University of Pennsylvania, Philadelphia, PA, USA
| | - Sharon Ash
- Department of Neurology and Penn Frontotemporal Degeneration Center, University of Pennsylvania, Philadelphia, PA, USA
| | - Sanjana Shellikeri
- Department of Neurology and Penn Frontotemporal Degeneration Center, University of Pennsylvania, Philadelphia, PA, USA
| | - David J. Irwin
- Department of Neurology and Penn Frontotemporal Degeneration Center, University of Pennsylvania, Philadelphia, PA, USA
| | - Lauren Massimo
- Department of Neurology and Penn Frontotemporal Degeneration Center, University of Pennsylvania, Philadelphia, PA, USA
| | - Katya Rascovsky
- Department of Neurology and Penn Frontotemporal Degeneration Center, University of Pennsylvania, Philadelphia, PA, USA
| | - Christopher Olm
- Department of Neurology and Penn Frontotemporal Degeneration Center, University of Pennsylvania, Philadelphia, PA, USA
- Department of Radiology and Penn Image Computing and Science Laboratory, University of Pennsylvania, Philadelphia, PA, USA
| | - Murray Grossman
- Department of Neurology and Penn Frontotemporal Degeneration Center, University of Pennsylvania, Philadelphia, PA, USA
| | - Mark Liberman
- Linguistic Data Consortium, University of Pennsylvania, Philadelphia, PA, USA
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18
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Reilly J, Flurie M, Ungrady MB. Eyetracking during picture naming predicts future vocabulary dropout in progressive anomia. Neuropsychol Rehabil 2020; 32:560-578. [PMID: 33115336 PMCID: PMC8079545 DOI: 10.1080/09602011.2020.1835676] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
Abstract
The dynamic and unpredictable nature of expressive vocabulary dropout in progressive anomia presents a challenge for language intervention. We evaluated whether eye gaze patterns during naming could predict anomia for the same items in the near future. We tracked naming accuracy and gaze patterns as patients with semantic (n = 7) or logopenic (n = 2) variants of Primary Progressive Aphasia or amnestic Alzheimer's Disease (n = 1), named photographs of people and objects. Patients were tested three or more times spaced roughly evenly over an average duration of 19.1 months. Target words named accurately at baseline were retrospectively coded as either known (i.e., consistently named) or vulnerable (i.e., inaccurately or inconsistently named) based on naming accuracy over the study interval. We extracted gaze data corresponding to successful naming attempts and implemented logistic mixed effects models to determine whether common gaze measures could predict each word's naming status as known or vulnerable. More visual fixations and greater visual fixation dispersion predicted later anomia. These findings suggest that eye tracking may yield a biomarker of the robustness of particular target words to future expressive vocabulary dropout. We discuss the potential utility of this finding for optimizing treatment for progressive anomia.
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Affiliation(s)
- Jamie Reilly
- Eleanor M. Saffran Center for Cognitive Neuroscience, Temple University, Philadelphia, PA, USA.,Department of Communication Sciences and Disorders, Temple University, Philadelphia, PA, USA.,Department of Psychology, Temple University, Philadelphia, PA, USA
| | - Maurice Flurie
- Eleanor M. Saffran Center for Cognitive Neuroscience, Temple University, Philadelphia, PA, USA.,Department of Communication Sciences and Disorders, Temple University, Philadelphia, PA, USA
| | - Molly B Ungrady
- Department of Psychology, Temple University, Philadelphia, PA, USA
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19
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Peng CH, Yin D, Zhang H. More than Words in Medical Question-and-Answer Sites: A Content-Context Congruence Perspective. INFORMATION SYSTEMS RESEARCH 2020. [DOI: 10.1287/isre.2020.0923] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
Application Abstract
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Affiliation(s)
- Chih-Hung Peng
- College of Commerce, National Chengchi University, Taipei 11605, Taiwan
| | - Dezhi Yin
- Muma College of Business, University of South Florida, Tampa, Florida 33620
| | - Han Zhang
- Scheller College of Business, Georgia Institute of Technology, Atlanta, Georgia 30308
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20
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Efecto de concretud inverso en Afasia Progresiva Primaria-variante semántica: Estudio longitudinal de un paciente. REVISTA IBEROAMERICANA DE PSICOLOGÍA 2019. [DOI: 10.33881/2027-1786.rip.12205] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022] Open
Abstract
La Afasia Progresiva Primaria (APP) es una patología neurodegenerativa que se presenta con afectación insidiosa y progresiva del lenguaje. Los criterios diagnósticos actuales diferencian tres subtipos de APP, cada una con perfiles neurolingüísticos específicos. Diversas investigaciones han propuesto que un síntoma característico de la APP variante semántica (APP-vs) es un mayor compromiso en el procesamiento de conceptos concretos que de abstractos (Efecto de Concretud Inverso - ECI). Para explicar este ECI se han propuesto diferentes explicaciones: (a). el patrón de compromiso neural, (b). el nivel educativo de los pacientes, (c). el estadio de la enfermedad. El objetivo del presente trabajo es estudiar en forma longitudinal la progresión en el procesamiento de conceptos concretos y abstractos en un paciente diagnosticado con APP-vs. Para ello se utilizó una tarea de juicios de sinonimia donde se debe identificar si dos palabras son sinónimos o no. La tarea cuenta con pares de conceptos concretos y abstractos. Se evaluó al paciente en tres momentos (2014, 2015 y 2016). Se observó un mejor desempeño de conceptos abstractos en la primera evaluación. El ECI desaparece en la segunda evaluación. El patrón se revierte en la tercera. Estos resultados apoyan la propuesta de que el ECI observado en pacientes con APP-vs es un síntoma de los estadios iniciales de la enfermedad. Este ECI se relacionaría con la afectación temprana de las porciones del Lóbulo Temporal Anterior que procesan rasgos visuales, que serían más relevantes para los conceptos concretos.
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Ash S, Nevler N, Phillips J, Irwin DJ, McMillan CT, Rascovsky K, Grossman M. A longitudinal study of speech production in primary progressive aphasia and behavioral variant frontotemporal dementia. BRAIN AND LANGUAGE 2019; 194:46-57. [PMID: 31075725 PMCID: PMC6656376 DOI: 10.1016/j.bandl.2019.04.006] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/04/2018] [Revised: 02/10/2019] [Accepted: 04/22/2019] [Indexed: 05/03/2023]
Abstract
We examined longitudinal change in language expression during a semi-structured speech sample in 48 patients with primary progressive aphasia (PPA) or behavioral variant frontotemporal dementia (bvFTD) and related this to longitudinal neuroimaging of cortical thickness available in 25 of these patients. All patient groups declined significantly on measures of both speech fluency and grammar, although patients with nonfluent/agrammatic PPA (naPPA) declined to a greater extent than patients with the semantic variant, the logopenic variant, and bvFTD. These patient groups also declined on several neuropsychological measures, but there was no correlation between decline in speech expression and decline in neuropsychological performance. Longitudinal decline in grammaticality, assessed by the number of well-formed sentences produced, was associated with longitudinal progression of gray matter atrophy in left frontal operculum/insula and bilateral temporal cortex.
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Affiliation(s)
- Sharon Ash
- Penn Frontotemporal Degeneration Center and Department of Neurology, Perelman School of Medicine of the University of Pennsylvania, United States.
| | - Naomi Nevler
- Penn Frontotemporal Degeneration Center and Department of Neurology, Perelman School of Medicine of the University of Pennsylvania, United States
| | - Jeffrey Phillips
- Penn Frontotemporal Degeneration Center and Department of Neurology, Perelman School of Medicine of the University of Pennsylvania, United States
| | - David J Irwin
- Penn Frontotemporal Degeneration Center and Department of Neurology, Perelman School of Medicine of the University of Pennsylvania, United States
| | - Corey T McMillan
- Penn Frontotemporal Degeneration Center and Department of Neurology, Perelman School of Medicine of the University of Pennsylvania, United States
| | - Katya Rascovsky
- Penn Frontotemporal Degeneration Center and Department of Neurology, Perelman School of Medicine of the University of Pennsylvania, United States
| | - Murray Grossman
- Penn Frontotemporal Degeneration Center and Department of Neurology, Perelman School of Medicine of the University of Pennsylvania, United States
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