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Kaltsa M, Tsolaki A, Lazarou I, Mittas I, Papageorgiou M, Papadopoulou D, Tsimpli IM, Tsolaki M. Assessing the Linguistic Capacity Across Alzheimer's Disease and Its Preclinical Stages: Evidence from Narrative Macrostructure in Elderly Speakers of Greek. J Alzheimers Dis 2024:JAD240496. [PMID: 39121121 DOI: 10.3233/jad-240496] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/11/2024]
Abstract
Background The assessment of language deficits can be valuable in the early clinical diagnosis of neurodegenerative disorders, including Alzheimer's disease (AD). Objective The present study aims to explore whether language markers at the macrostructural level could assist with the placement of an individual across the dementia continuum employing production data from structured narratives. Methods We administered a Picture Sequence Narrative Discourse Task to 170 speakers of Greek: young healthy controls (yHC), cognitively intact healthy elders (eHC), elder participants with subjective cognitive impairment (SCI), with mild cognitive impairment (MCI), and with AD dementia at the mild/moderate stages. Structural MRIs, medical history, neurological examination, and neuropsychological/cognitive screening determined the status of each speaker to appropriately groupthem. Results The data analysis revealed that the Macrostructure Index, Irrelevant Info, and Narration Density markers can track cognitive decline and AD (p < 0.001; Macrostructural Index: eHC versus AD Sensitivity 93.8%, Specificity 74.4%, MCI versus AD Sensitivity 93.8%, Specificity 66.7%; Narration Density: eHC versus AD Sensitivity 90.6%, Specificity 71.8%, MCI versus AD Sensitivity 93.8%, Specificity 66.7%). Moreover, Narrative Complexity was significantly affected for subjects with AD, Irrelevant Info increased in the narrations of speakers with MCI and AD, while Narration Length did not appear to indubitably differentiate between the cognitively intact groups and the clinical ones. Conclusions Narrative Macrostructure Indices provide valuable information on the language profile of speakers with(out) intact cognition revealing subtle early signs of cognitive decline and AD suggesting that the inclusion of language-based assessment tools would facilitate the clinical process.
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Affiliation(s)
- Maria Kaltsa
- Department of Theoretical & Applied Linguistics, School of English, Faculty of Philosophy, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Anthoula Tsolaki
- School of Medicine, Aristotle University of Thessaloniki, Thessaloniki, Greece
- Greek Alzheimer's Association and Related Disorders (GAARD), Greece
| | - Ioulietta Lazarou
- Greek Alzheimer's Association and Related Disorders (GAARD), Greece
- Centre for Research and Technology-Hellas, Thessaloniki, Greece
| | - Ilias Mittas
- Department of Linguistics, School of Philology, Faculty of Philosophy, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Mairi Papageorgiou
- Department of Linguistics, School of Philology, Faculty of Philosophy, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Despina Papadopoulou
- Department of Linguistics, School of Philology, Faculty of Philosophy, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Ianthi Maria Tsimpli
- Faculty of Modern and Medieval Languages and Linguistics, University of Cambridge, Cambridge, UK
| | - Magda Tsolaki
- Greek Alzheimer's Association and Related Disorders (GAARD), Greece
- 1st Department of Neurology, AHEPA University Hospital, Medical School, Faculty of Health Sciences, Aristotle University of Thessaloniki, Thessaloniki, Greece
- Laboratory of Neurodegenerative Diseases, Center for Interdisciplinary Research and Innovation (CIRI - AUTh), Balkan Center, Aristotle University of Thessaloniki, Hellas, Greece
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Ferrante FJ, Migeot J, Birba A, Amoruso L, Pérez G, Hesse E, Tagliazucchi E, Estienne C, Serrano C, Slachevsky A, Matallana D, Reyes P, Ibáñez A, Fittipaldi S, Campo CG, García AM. Multivariate word properties in fluency tasks reveal markers of Alzheimer's dementia. Alzheimers Dement 2024; 20:925-940. [PMID: 37823470 PMCID: PMC10916979 DOI: 10.1002/alz.13472] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2023] [Revised: 08/15/2023] [Accepted: 08/20/2023] [Indexed: 10/13/2023]
Abstract
INTRODUCTION Verbal fluency tasks are common in Alzheimer's disease (AD) assessments. Yet, standard valid response counts fail to reveal disease-specific semantic memory patterns. Here, we leveraged automated word-property analysis to capture neurocognitive markers of AD vis-à-vis behavioral variant frontotemporal dementia (bvFTD). METHODS Patients and healthy controls completed two fluency tasks. We counted valid responses and computed each word's frequency, granularity, neighborhood, length, familiarity, and imageability. These features were used for group-level discrimination, patient-level identification, and correlations with executive and neural (magnetic resonanance imaging [MRI], functional MRI [fMRI], electroencephalography [EEG]) patterns. RESULTS Valid responses revealed deficits in both disorders. Conversely, frequency, granularity, and neighborhood yielded robust group- and subject-level discrimination only in AD, also predicting executive outcomes. Disease-specific cortical thickness patterns were predicted by frequency in both disorders. Default-mode and salience network hypoconnectivity, and EEG beta hypoconnectivity, were predicted by frequency and granularity only in AD. DISCUSSION Word-property analysis of fluency can boost AD characterization and diagnosis. HIGHLIGHTS We report novel word-property analyses of verbal fluency in AD and bvFTD. Standard valid response counts captured deficits and brain patterns in both groups. Specific word properties (e.g., frequency, granularity) were altered only in AD. Such properties predicted cognitive and neural (MRI, fMRI, EEG) patterns in AD. Word-property analysis of fluency can boost AD characterization and diagnosis.
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Affiliation(s)
- Franco J. Ferrante
- Centro de Neurociencias CognitivasUniversidad de San AndrésVictoriaProvincia de Buenos AiresArgentina
- Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET)Ciudad Autónoma de Buenos AiresArgentina
- Facultad de IngenieríaUniversidad de Buenos Aires (FIUBA)CABAArgentina
| | - Joaquín Migeot
- Latin American Brain Health (BrainLat) InstituteUniversidad Adolfo IbáñezPeñalolénRegión MetropolitanaChile
- Center for Social and Cognitive Neuroscience (CSCN)School of PsychologyUniversidad Adolfo IbáñezLas CondesChile
| | - Agustina Birba
- Centro de Neurociencias CognitivasUniversidad de San AndrésVictoriaProvincia de Buenos AiresArgentina
- Instituto Universitario de NeurocienciaUniversidad de La LagunaLa LagunaTenerifeEspaña
- Cognitive Department of PsychologyUniversidad de La LagunaLa LagunaTenerifeEspaña
| | - Lucía Amoruso
- Centro de Neurociencias CognitivasUniversidad de San AndrésVictoriaProvincia de Buenos AiresArgentina
- Basque Center on Cognition Brain and Language (BCBL)San SebastiánGipuzkoaEspaña
- IkerbasqueBasque Foundation for ScienceBilbaoSpain
| | - Gonzalo Pérez
- Centro de Neurociencias CognitivasUniversidad de San AndrésVictoriaProvincia de Buenos AiresArgentina
- Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET)Ciudad Autónoma de Buenos AiresArgentina
- Facultad de IngenieríaUniversidad de Buenos Aires (FIUBA)CABAArgentina
| | - Eugenia Hesse
- Centro de Neurociencias CognitivasUniversidad de San AndrésVictoriaProvincia de Buenos AiresArgentina
- Departamento de Matemática y CienciasUniversidad de San AndrésVictoriaProvincia de Buenos AiresArgentina
| | - Enzo Tagliazucchi
- Latin American Brain Health (BrainLat) InstituteUniversidad Adolfo IbáñezPeñalolénRegión MetropolitanaChile
- Departamento de FísicaUniversidad de Buenos Aires and Instituto de Física de Buenos Aires (IFIBA‐CONICET)CABAArgentina
| | - Claudio Estienne
- Instituto de Ingeniería BiomédicaUniversidad de Buenos AiresBuenos AiresArgentina
| | - Cecilia Serrano
- Unidad de Neurología CognitivaHospital César MilsteinCABAArgentina
| | - Andrea Slachevsky
- Neuropsychology and Clinical Neuroscience Laboratory (LANNEC)Physiopathology Department ‐ ICBMNeurocience and East Neuroscience DepartmentsFaculty of MedicineUniversity of ChileProvidenciaSantiagoChile
- Geroscience Center for Brain Health and Metabolism (GERO)Faculty of MedicineUniversity of ChileProvidenciaSantiagoChile
- Memory and Neuropsychiatric Clinic (CMYN) Neurology DepartmentHospital del Salvador and Faculty of MedicineUniversity of ChileProvidenciaSantiagoChile
- Servicio de NeurologíaDepartamento de MedicinaClínica Alemana‐Universidad del DesarrolloLas CondesRegión MetropolitanaChile
| | - Diana Matallana
- Instituto de EnvejecimientoDepartment of PsychiatrySchool of MedicinePontifical Xaverian UniversityBogotáColombia
- Department of Mental HealthHospital Universitario Santa Fe de BogotáBogotáColombia
| | - Pablo Reyes
- Centro de Memoria y CogniciónIntellectus‐Hospital Universitario San IgnacioBogotáColombia
- Pontificia Universidad JaverianaDepartments of PhysiologyPsychiatry and Aging InstituteBogotáColombia
| | - Agustín Ibáñez
- Centro de Neurociencias CognitivasUniversidad de San AndrésVictoriaProvincia de Buenos AiresArgentina
- Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET)Ciudad Autónoma de Buenos AiresArgentina
- Latin American Brain Health (BrainLat) InstituteUniversidad Adolfo IbáñezPeñalolénRegión MetropolitanaChile
- Global Brain Health Institute, University of California San Francisco, San Francisco, California, USATrinity College DublinDublinIreland
| | - Sol Fittipaldi
- Centro de Neurociencias CognitivasUniversidad de San AndrésVictoriaProvincia de Buenos AiresArgentina
- Latin American Brain Health (BrainLat) InstituteUniversidad Adolfo IbáñezPeñalolénRegión MetropolitanaChile
- Global Brain Health Institute, University of California San Francisco, San Francisco, California, USATrinity College DublinDublinIreland
| | - Cecilia Gonzalez Campo
- Centro de Neurociencias CognitivasUniversidad de San AndrésVictoriaProvincia de Buenos AiresArgentina
- Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET)Ciudad Autónoma de Buenos AiresArgentina
| | - Adolfo M. García
- Centro de Neurociencias CognitivasUniversidad de San AndrésVictoriaProvincia de Buenos AiresArgentina
- Latin American Brain Health (BrainLat) InstituteUniversidad Adolfo IbáñezPeñalolénRegión MetropolitanaChile
- Global Brain Health Institute, University of California San Francisco, San Francisco, California, USATrinity College DublinDublinIreland
- Departamento de Lingüística y LiteraturaFacultad de HumanidadesUniversidad de Santiago de ChileEstación CentralSantiagoChile
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Cabrera-Martín MN, Nespral P, Valles-Salgado M, Bascuñana P, Delgado-Alonso C, Delgado-Álvarez A, Fernández-Romero L, López-Carbonero JI, Díez-Cirarda M, Gil-Moreno MJ, Matías-Guiu J, Matias-Guiu JA. FDG-PET-based neural correlates of Addenbrooke's cognitive examination III scores in Alzheimer's disease and frontotemporal degeneration. Front Psychol 2023; 14:1273608. [PMID: 38034292 PMCID: PMC10687370 DOI: 10.3389/fpsyg.2023.1273608] [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: 08/06/2023] [Accepted: 11/02/2023] [Indexed: 12/02/2023] Open
Abstract
Introduction The Addenbrooke's Cognitive Examination III (ACE-III) is a brief test useful for neuropsychological assessment. Several studies have validated the test for the diagnosis of Alzheimer's disease (AD) and frontotemporal dementia (FTD). In this study, we aimed to examine the metabolic correlates associated with the performance of ACE-III in AD and behavioral variant FTD. Methods We enrolled 300 participants in a cross-sectional study, including 180 patients with AD, 60 with behavioral FTD (bvFTD), and 60 controls. An 18F-Fluorodeoxyglucose positron emission tomography study was performed in all cases. Correlation between the ACE-III and its domains (attention, memory, fluency, language, and visuospatial) with the brain metabolism was estimated. Results The ACE-III showed distinct neural correlates in bvFTD and AD, effectively capturing the most relevant regions involved in these disorders. Neural correlates differed for each domain, especially in the case of bvFTD. Lower ACE-III scores were associated with more advanced stages in both disorders. The ACE-III exhibited high discrimination between bvFTD vs. HC, and between AD vs. HC. Additionally, it was sensitive to detect hypometabolism in brain regions associated with bvFTD and AD. Conclusion Our study contributes to the knowledge of the brain regions associated with ACE-III, thereby facilitating its interpretation, and highlighting its suitability for screening and monitoring. This study provides further validation of ACE-III in the context of AD and FTD.
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Affiliation(s)
- María Nieves Cabrera-Martín
- Department of Neurology, San Carlos Institute for Health Research (IdISSC), Universidad Complutense, Madrid, Spain
| | - Pedro Nespral
- Department of Neurology, San Carlos Institute for Health Research (IdISSC), Universidad Complutense, Madrid, Spain
| | - Maria Valles-Salgado
- Department of Nuclear Medicine, San Carlos Institute for Health Research (IdISSC), Universidad Complutense, Madrid, Spain
| | - Pablo Bascuñana
- Department of Neurology, San Carlos Institute for Health Research (IdISSC), Universidad Complutense, Madrid, Spain
| | - Cristina Delgado-Alonso
- Department of Nuclear Medicine, San Carlos Institute for Health Research (IdISSC), Universidad Complutense, Madrid, Spain
| | - Alfonso Delgado-Álvarez
- Department of Nuclear Medicine, San Carlos Institute for Health Research (IdISSC), Universidad Complutense, Madrid, Spain
| | - Lucía Fernández-Romero
- Department of Nuclear Medicine, San Carlos Institute for Health Research (IdISSC), Universidad Complutense, Madrid, Spain
| | - Juan Ignacio López-Carbonero
- Department of Nuclear Medicine, San Carlos Institute for Health Research (IdISSC), Universidad Complutense, Madrid, Spain
| | - María Díez-Cirarda
- Department of Nuclear Medicine, San Carlos Institute for Health Research (IdISSC), Universidad Complutense, Madrid, Spain
| | - María José Gil-Moreno
- Department of Nuclear Medicine, San Carlos Institute for Health Research (IdISSC), Universidad Complutense, Madrid, Spain
| | - Jorge Matías-Guiu
- Department of Nuclear Medicine, San Carlos Institute for Health Research (IdISSC), Universidad Complutense, Madrid, Spain
| | - Jordi A. Matias-Guiu
- Department of Nuclear Medicine, San Carlos Institute for Health Research (IdISSC), Universidad Complutense, Madrid, Spain
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Gordon JK, Chen H. How well does the discrepancy between semantic and letter verbal fluency performance distinguish Alzheimer's dementia from typical aging? NEUROPSYCHOLOGY, DEVELOPMENT, AND COGNITION. SECTION B, AGING, NEUROPSYCHOLOGY AND COGNITION 2023; 30:729-758. [PMID: 35612362 DOI: 10.1080/13825585.2022.2079602] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/19/2021] [Accepted: 05/13/2022] [Indexed: 06/15/2023]
Abstract
In Alzheimer's dementia (AD), greater declines in semantic fluency (SF) relative to letter fluency (LF) have been assumed to reflect semantic disintegration. However, the same pattern is observed in typical aging and neurodegenerative disorders besides AD. We examined this assumption by comparing different aspects of SF and LF performance in older adults with and without dementia, and identifying which verbal fluency measures most clearly distinguish AD from typical aging. Verbal fluency data were compared from 109 individuals with AD and 66 typically aging adults. Correct items, clusters, and errors were analyzed using both raw counts and proportions. Regression analyses examined Task-by-Group interactions and the impact of demographic variables on verbal fluency measures. ROC analyses examined the sensitivity and specificity of the different outcome measures. In regressions, interactions were found for raw but not proportional data, indicating that different group patterns were driven largely by the number of correct items produced. Similarly, in ROC analyses, raw SF totals showed stronger discriminability between groups than either raw discrepancy scores (SF-LF) or discrepancy ratios (SF/LF). Age and cognitive status (MMSE) were the strongest individual predictors of performance. Findings suggest that AD entails quantitative declines in verbal fluency, but qualitatively similar patterns of performance relative to typically aging adults. Thus, SF declines in AD seem to be at least partially attributable to an exaggeration of the underlying mechanisms common to typical aging, and do not necessarily implicate semantic disintegration.
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Affiliation(s)
- Jean K Gordon
- Department of Communication Sciences & Disorders, University of Iowa, Iowa City, IA, USA
| | - Haoxuan Chen
- Department of Communication Sciences & Disorders, University of Iowa, Iowa City, IA, USA
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Delgado-Álvarez A, Nielsen TR, Delgado-Alonso C, Valles-Salgado M, López-Carbonero JI, García-Ramos R, Gil-Moreno MJ, Díez-Cirarda M, Matías-Guiu J, Matias-Guiu JA. Validation of the European Cross-Cultural Neuropsychological Test Battery (CNTB) for the assessment of mild cognitive impairment due to Alzheimer's disease and Parkinson's disease. Front Aging Neurosci 2023; 15:1134111. [PMID: 37213535 PMCID: PMC10196233 DOI: 10.3389/fnagi.2023.1134111] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2022] [Accepted: 04/10/2023] [Indexed: 05/23/2023] Open
Abstract
Background The Cross-Cultural Neuropsychological Test Battery (CNTB) is a novel test battery specifically designed to reduce the impact of multiculturality in cognitive assessment. Objective We aimed to validate the CNTB in Spaniards in patients with Alzheimer's disease (AD), including patients at mild cognitive impairment (MCI) and mild dementia stages, and Parkinson's disease with MCI (PD-MCI). Methods Thirty patients with AD-MCI, 30 with AD-dementia (AD-D), and 30 with PD-MCI were recruited. Each clinical group was compared against a healthy control group (HC) with no differences in sex, age, or years of education. Intergroup comparisons, ROC analysis, and cut-off scores were calculated. Results AD-MCI scored lower than HC in those subtests associated with episodic memory and verbal fluency. AD-D also showed lower scores in executive functions and visuospatial tests. Effect sizes for all the subtests were large. PD-MCI showed lower performance than HC in memory and executive functions, particularly on error scores, with large effect sizes. Comparing AD-MCI and PD-MCI, AD-MCI had lower memory scores, while PD-MCI showed the worst performance in executive functions. CNTB showed appropriate convergent validity with standardized neuropsychological tests measuring the same cognitive domains. We obtained similar cut-off scores to previous studies performed in other populations. Conclusions The CNTB showed appropriate diagnostic properties in AD and PD, including those stages with mild cognitive impairment. This supports the utility of the CNTB for the early detection of cognitive impairment in AD and PD.
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Affiliation(s)
- Alfonso Delgado-Álvarez
- Department of Neurology, Hospital Clinico San Carlos, San Carlos Institute for Health Research (IdISSC), Universidad Complutense, Madrid, Spain
- Faculty of Psychology, Universidad Autónoma de Madrid, Madrid, Spain
| | - Thomas Rune Nielsen
- Department of Neurology, Danish Dementia Research Centre, University of Copenhagen-Rigshospitalet, Copenhagen, Denmark
| | - Cristina Delgado-Alonso
- Department of Neurology, Hospital Clinico San Carlos, San Carlos Institute for Health Research (IdISSC), Universidad Complutense, Madrid, Spain
| | - María Valles-Salgado
- Department of Neurology, Hospital Clinico San Carlos, San Carlos Institute for Health Research (IdISSC), Universidad Complutense, Madrid, Spain
| | - Juan I. López-Carbonero
- Department of Neurology, Hospital Clinico San Carlos, San Carlos Institute for Health Research (IdISSC), Universidad Complutense, Madrid, Spain
| | - Rocío García-Ramos
- Department of Neurology, Hospital Clinico San Carlos, San Carlos Institute for Health Research (IdISSC), Universidad Complutense, Madrid, Spain
| | - María José Gil-Moreno
- Department of Neurology, Hospital Clinico San Carlos, San Carlos Institute for Health Research (IdISSC), Universidad Complutense, Madrid, Spain
| | - María Díez-Cirarda
- Department of Neurology, Hospital Clinico San Carlos, San Carlos Institute for Health Research (IdISSC), Universidad Complutense, Madrid, Spain
| | - Jorge Matías-Guiu
- Department of Neurology, Hospital Clinico San Carlos, San Carlos Institute for Health Research (IdISSC), Universidad Complutense, Madrid, Spain
| | - Jordi A. Matias-Guiu
- Department of Neurology, Hospital Clinico San Carlos, San Carlos Institute for Health Research (IdISSC), Universidad Complutense, Madrid, Spain
- *Correspondence: Jordi A. Matias-Guiu ;
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Olmos-Villaseñor R, Sepulveda-Silva C, Julio-Ramos T, Fuentes-Lopez E, Toloza-Ramirez D, Santibañez RA, Copland DA, Mendez-Orellana C. Phonological and Semantic Fluency in Alzheimer's Disease: A Systematic Review and Meta-Analysis. J Alzheimers Dis 2023; 95:1-12. [PMID: 37482994 PMCID: PMC10578227 DOI: 10.3233/jad-221272] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/21/2023] [Indexed: 07/25/2023]
Abstract
BACKGROUND Semantic and Phonological fluency (SF and PF) are routinely evaluated in patients with Alzheimer's disease (AD). There are disagreements in the literature regarding which fluency task is more affected while developing AD. Most studies focus on SF assessment, given its connection with the temporoparietal amnesic system. PF is less reported, it is related to working memory, which is also impaired in probable and diagnosed AD. Differentiating between performance on these tasks might be informative in early AD diagnosis, providing an accurate linguistic profile. OBJECTIVE Compare SF and PF performance in healthy volunteers, volunteers with probable AD, and patients with AD diagnosis, considering the heterogeneity of age, gender, and educational level variables. METHODS A total of 8 studies were included for meta-analysis, reaching a sample size of 1,270 individuals (568 patients diagnosed with AD, 340 with probable AD diagnosis, and 362 healthy volunteers). RESULTS The three groups consistently performed better on SF than PF. When progressing to a diagnosis of AD, we observed a significant difference in SF and PF performance across our 3 groups of interest (p = 0.04). The age variable explained a proportion of this difference in task performance across the groups, and as age increases, both tasks equally worsen. CONCLUSION The performance of SF and PF might play a differential role in early AD diagnosis. These tasks rely on partially different neural bases of language processing. They are thus worth exploring independently in diagnosing normal aging and its transition to pathological stages, including probable and diagnosed AD.
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Affiliation(s)
- Rocio Olmos-Villaseñor
- Speech and Language Therapy School, Health Sciences Department, Faculty of Medicine, Pontificia Universidad Catolica de Chile, Santiago, Chile
- Laboratory of Language Rehabilitation and Stimulation (LARES), Speech and Language Therapy School, Health Sciences Department, Faculty of Medicine, Pontificia Universidad Catolica de Chile, Santiago, Chile
| | - Consuelo Sepulveda-Silva
- Speech and Language Therapy School, Health Sciences Department, Faculty of Medicine, Pontificia Universidad Catolica de Chile, Santiago, Chile
- Laboratory of Language Rehabilitation and Stimulation (LARES), Speech and Language Therapy School, Health Sciences Department, Faculty of Medicine, Pontificia Universidad Catolica de Chile, Santiago, Chile
| | - Teresa Julio-Ramos
- Laboratory of Language Rehabilitation and Stimulation (LARES), Speech and Language Therapy School, Health Sciences Department, Faculty of Medicine, Pontificia Universidad Catolica de Chile, Santiago, Chile
| | - Eduardo Fuentes-Lopez
- Speech and Language Therapy School, Health Sciences Department, Faculty of Medicine, Pontificia Universidad Catolica de Chile, Santiago, Chile
| | - David Toloza-Ramirez
- Exercise and Rehabilitation Sciences Institute, School of Speech Therapy, Faculty of Rehabilitation Sciences, Universidad Andres Bello, Santiago, Chile
| | - Rodrigo A. Santibañez
- Neurology Department, Faculty of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile
- Neurology Service, Complejo Asistencial Doctor Sótero del Río, Santiago, Chile
| | - David A. Copland
- Queensland Aphasia Research Centre, School of Health and Rehabilitation Sciences, University of Queensland, Brisbane, Australia
| | - Carolina Mendez-Orellana
- Speech and Language Therapy School, Health Sciences Department, Faculty of Medicine, Pontificia Universidad Catolica de Chile, Santiago, Chile
- Laboratory of Language Rehabilitation and Stimulation (LARES), Speech and Language Therapy School, Health Sciences Department, Faculty of Medicine, Pontificia Universidad Catolica de Chile, Santiago, Chile
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EL HAJ M, MOUSTAFA AA, ALLAIN P, CHAPELET G. The talking eyes: pupillometry to index verbal fluency in normal aging. Clin Neurol Neurosurg 2022; 223:107525. [DOI: 10.1016/j.clineuro.2022.107525] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2022] [Revised: 11/10/2022] [Accepted: 11/11/2022] [Indexed: 11/17/2022]
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8
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Tian Y, Li D, Wang D, Zhu T, Xia M, Jiang W. Decreased Hemodynamic Responses in Left Parietal Lobule and Left Inferior Parietal Lobule in Older Adults with Mild Cognitive Impairment: A Near-Infrared Spectroscopy Study. J Alzheimers Dis 2022; 90:1163-1175. [DOI: 10.3233/jad-220691] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Background: The brain activation patterns of mild cognitive impairment (MCI) are still unclear and they involve multiple brain regions. Most previous studies have focused on abnormal activation in the frontal and temporal lobes, with few investigating the entire brain. Objective: To identify and compare the changes in cerebral hemodynamics and abnormal activation patterns in the entire brain of MCI patients and healthy older adults. Methods: Patients with MCI (n = 22) and healthy controls (HC, n = 34) matched by age, education levels, sex, and mental state were enrolled. They performed the same letter and category verbal fluency test (VFT) tasks while their behavioral performance and global cerebral hemodynamics were analyzed. Results: The performance during the category VFT task was significantly better than that during the letter VFT task across all participants (HC: correct: p < 0.001; intrusions: p < 0.001; MCI: correct: p < 0.001; intrusions: p < 0.001). The number of correct words during the letter and category VFT tasks was significantly higher in the HC group than in the MCI group (p < 0.001). The deoxygenated-hemoglobin (HbR) concentrations in the left parietal lobule (p = 0.0352) and left inferior parietal lobule (p = 0.0314) were significantly different during the category VFT task. Conclusion: The differences between HC and MCI groups were greater in the category task. The HbR concentration was more sensitive for the category VFT task and concentration changes in the left parietal lobule and left inferior parietal lobule may be useful for clinical screening and application; thus, they deserve more attention.
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Affiliation(s)
- Yizhu Tian
- Key Laboratory of Biomechanics and Mechanobiology, Ministry of Education, Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing, China
| | - Deyu Li
- Key Laboratory of Biomechanics and Mechanobiology, Ministry of Education, Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing, China
- State Key Laboratory of Virtual Reality Technology and System, Beihang University, Beijing, China
| | - Daifa Wang
- Key Laboratory of Biomechanics and Mechanobiology, Ministry of Education, Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing, China
| | - Ting Zhu
- Key Laboratory of Biomechanics and Mechanobiology, Ministry of Education, Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing, China
| | - Meiyun Xia
- State Key Laboratory of Virtual Reality Technology and System, Beihang University, Beijing, China
- School of Mechanical Engineering and Automation, Beihang University, Beijing, China
| | - Wenyu Jiang
- Department of Neurological Rehabilitation, Guangxi Jiangbin Hospital, Nanning, China
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García-Gutierrez F, Díaz-Álvarez J, Matias-Guiu JA, Pytel V, Matías-Guiu J, Cabrera-Martín MN, Ayala JL. GA-MADRID: design and validation of a machine learning tool for the diagnosis of Alzheimer’s disease and frontotemporal dementia using genetic algorithms. Med Biol Eng Comput 2022; 60:2737-2756. [PMID: 35852735 PMCID: PMC9365756 DOI: 10.1007/s11517-022-02630-z] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2022] [Accepted: 06/29/2022] [Indexed: 01/03/2023]
Abstract
AbstractArtificial Intelligence aids early diagnosis and development of new treatments, which is key to slow down the progress of the diseases, which to date have no cure. The patients’ evaluation is carried out through diagnostic techniques such as clinical assessments neuroimaging techniques, which provide high-dimensionality data. In this work, a computational tool is presented that deals with the data provided by the clinical diagnostic techniques. This is a Python-based framework implemented with a modular design and fully extendable. It integrates (i) data processing and management of missing values and outliers; (ii) implementation of an evolutionary feature engineering approach, developed as a Python package, called PyWinEA using Mono-objective and Multi-objetive Genetic Algorithms (NSGAII); (iii) a module for designing predictive models based on a wide range of machine learning algorithms; (iv) a multiclass decision stage based on evolutionary grammars and Bayesian networks. Developed under the eXplainable Artificial Intelligence and open science perspective, this framework provides promising advances and opens the door to the understanding of neurodegenerative diseases from a data-centric point of view. In this work, we have successfully evaluated the potential of the framework for early and automated diagnosis with neuroimages and neurocognitive assessments from patients with Alzheimer’s disease (AD) and frontotemporal dementia (FTD).
Graphical abstract
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Affiliation(s)
- Fernando García-Gutierrez
- Departments of Neurology, Hospital Clinico San Carlos, San Carlos Research Health Institute (IdISSC), Universidad Complutense, Madrid, Spain
| | - Josefa Díaz-Álvarez
- Department of Computer Architecture and Communications, Centro Universitario de Mérida, Universidad de Extremadura, Mérida, Spain
| | - Jordi A. Matias-Guiu
- Departments of Neurology, Hospital Clinico San Carlos, San Carlos Research Health Institute (IdISSC), Universidad Complutense, Madrid, Spain
| | - Vanesa Pytel
- Departments of Neurology, Hospital Clinico San Carlos, San Carlos Research Health Institute (IdISSC), Universidad Complutense, Madrid, Spain
| | - Jorge Matías-Guiu
- Departments of Neurology, Hospital Clinico San Carlos, San Carlos Research Health Institute (IdISSC), Universidad Complutense, Madrid, Spain
| | - María Nieves Cabrera-Martín
- Departments of Neurology, Hospital Clinico San Carlos, San Carlos Research Health Institute (IdISSC), Universidad Complutense, Madrid, Spain
| | - José L. Ayala
- Department of Computer Architecture and Automation, Universidad Complutense, Madrid, Spain
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Valles-Salgado M, Cabrera-Martín MN, Curiel-Cid RE, Delgado-Álvarez A, Delgado-Alonso C, Gil-Moreno MJ, Matías-Guiu J, Loewenstein DA, Matias-Guiu JA. Neuropsychological, Metabolic, and Connectivity Underpinnings of Semantic Interference Deficits Using the LASSI-L. J Alzheimers Dis 2022; 90:823-840. [PMID: 36189601 DOI: 10.3233/jad-220754] [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] [Indexed: 11/15/2022]
Abstract
BACKGROUND LASSI-L is a novel neuropsychological test specifically designed for the early diagnosis of Alzheimer's disease (AD) based on semantic interference. OBJECTIVE To examine the cognitive and neural underpinnings of the failure to recover from proactive semantic and retroactive semantic interference. METHODS One hundred and fifty-five patients consulting for memory loss were included. Patients underwent neuropsychological assessment, including the LASSI-L, and FDG-PET imaging. They were categorized as subjective memory complaints (SMC) (n=32), pre-mild cognitive impairment (MCI) due to AD (Pre-MCI) (n=39), MCI due to AD (MCI-AD) (n=71), and MCI without evidence of neurodegeneration (MCI-NN) (n=13). Voxel-based brain mapping and metabolic network connectivity analyses were conducted. RESULTS A significant group effect was found for all the LASSI-L scores. LASSI-L scores measuring failure to recover from proactive semantic interference and retroactive semantic interference were predicted by other neuropsychological tests with a precision of 64.1 and 44.8%. The LASSI-L scores were associated with brain metabolism in the bilateral precuneus, superior, middle and inferior temporal gyri, fusiform, angular, superior and inferior parietal lobule, superior, middle and inferior occipital gyri, lingual gyrus, and posterior cingulate. Connectivity analysis revealed a decrease of node degree and centrality in posterior cingulate in patients showing frPSI. CONCLUSION Episodic memory dysfunction and the involvement of the medial temporal lobe, precuneus and posterior cingulate constitute the basis of the failure to recover from proactive semantic interference and retroactive semantic interference. These findings support the role of the LASSI-L in the detection, monitoring and outcome prediction during the early stages of AD.
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Affiliation(s)
- María Valles-Salgado
- Department of Neurology, Hospital Clínico San Carlos, San Carlos Health Research Institute (IdISSC), Universidad Complutense de Madrid, Madrid, Spain
| | - María Nieves Cabrera-Martín
- Department of Nuclear Medicine, Hospital Clínico San Carlos, San Carlos Health Research Institute (IdISSC), Universidad Complutense de Madrid, Madrid, Spain
| | - Rosie E Curiel-Cid
- Center for Cognitive Neuroscience and Aging, Department of Psychiatry and Behavioral Sciences, Miller School of Medicine, University of Miami and Center of Aging, Miami, FL, USA
| | - Alfonso Delgado-Álvarez
- Department of Neurology, Hospital Clínico San Carlos, San Carlos Health Research Institute (IdISSC), Universidad Complutense de Madrid, Madrid, Spain
| | - Cristina Delgado-Alonso
- Department of Neurology, Hospital Clínico San Carlos, San Carlos Health Research Institute (IdISSC), Universidad Complutense de Madrid, Madrid, Spain
| | - María José Gil-Moreno
- Department of Neurology, Hospital Clínico San Carlos, San Carlos Health Research Institute (IdISSC), Universidad Complutense de Madrid, Madrid, Spain
| | - Jorge Matías-Guiu
- Department of Neurology, Hospital Clínico San Carlos, San Carlos Health Research Institute (IdISSC), Universidad Complutense de Madrid, Madrid, Spain
| | - David A Loewenstein
- Center for Cognitive Neuroscience and Aging, Department of Psychiatry and Behavioral Sciences, Miller School of Medicine, University of Miami and Center of Aging, Miami, FL, USA
| | - Jordi A Matias-Guiu
- Department of Neurology, Hospital Clínico San Carlos, San Carlos Health Research Institute (IdISSC), Universidad Complutense de Madrid, Madrid, Spain
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