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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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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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Huang C, Li A, Pang Y, Yang J, Zhang J, Wu X, Mei L. How the intrinsic functional connectivity patterns of the semantic network support semantic processing. Brain Imaging Behav 2024; 18:539-554. [PMID: 38261218 DOI: 10.1007/s11682-024-00849-y] [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] [Accepted: 01/05/2024] [Indexed: 01/24/2024]
Abstract
Semantic processing, a core of language comprehension, involves the activation of brain regions dispersed extensively across the frontal, temporal, and parietal cortices that compose the semantic network. To comprehend the functional structure of this semantic network and how it prepares for semantic processing, we investigated its intrinsic functional connectivity (FC) and the relation between this pattern and semantic processing ability in a large sample from the Human Connectome Project (HCP) dataset. We first defined a well-studied brain network for semantic processing, and then we characterized the within-network connectivity (WNC) and the between-network connectivity (BNC) within this network using a voxel-based global brain connectivity (GBC) method based on resting-state functional magnetic resonance imaging (fMRI). The results showed that 97.73% of the voxels in the semantic network displayed considerably greater WNC than BNC, demonstrating that the semantic network is a fairly encapsulated network. Moreover, multiple connector hubs in the semantic network were identified after applying the criterion of WNC > 1 SD above the mean WNC of the semantic network. More importantly, three of these connector hubs (i.e., the left anterior temporal lobe, angular gyrus, and orbital part of the inferior frontal gyrus) were reliably associated with semantic processing ability. Our findings suggest that the three identified regions use WNC as the central mechanism for supporting semantic processing and that task-independent spontaneous connectivity in the semantic network is essential for semantic processing.
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Affiliation(s)
- Chengmei Huang
- Philosophy and Social Science Laboratory of Reading and Development in Children and Adolescents (South China Normal University), Ministry of Education, Guangzhou, 510631, China
- School of Psychology, South China Normal University, Guangzhou, 510631, China
- Center for Studies of Psychological Application, South China Normal University, Guangzhou, 510631, China
| | - Aqian Li
- Philosophy and Social Science Laboratory of Reading and Development in Children and Adolescents (South China Normal University), Ministry of Education, Guangzhou, 510631, China
- School of Psychology, South China Normal University, Guangzhou, 510631, China
- Center for Studies of Psychological Application, South China Normal University, Guangzhou, 510631, China
| | - Yingdan Pang
- Philosophy and Social Science Laboratory of Reading and Development in Children and Adolescents (South China Normal University), Ministry of Education, Guangzhou, 510631, China
- School of Psychology, South China Normal University, Guangzhou, 510631, China
- Center for Studies of Psychological Application, South China Normal University, Guangzhou, 510631, China
| | - Jiayi Yang
- Philosophy and Social Science Laboratory of Reading and Development in Children and Adolescents (South China Normal University), Ministry of Education, Guangzhou, 510631, China
- School of Psychology, South China Normal University, Guangzhou, 510631, China
- Center for Studies of Psychological Application, South China Normal University, Guangzhou, 510631, China
| | - Jingxian Zhang
- Philosophy and Social Science Laboratory of Reading and Development in Children and Adolescents (South China Normal University), Ministry of Education, Guangzhou, 510631, China
- School of Psychology, South China Normal University, Guangzhou, 510631, China
- Center for Studies of Psychological Application, South China Normal University, Guangzhou, 510631, China
| | - Xiaoyan Wu
- Philosophy and Social Science Laboratory of Reading and Development in Children and Adolescents (South China Normal University), Ministry of Education, Guangzhou, 510631, China
- School of Psychology, South China Normal University, Guangzhou, 510631, China
- Center for Studies of Psychological Application, South China Normal University, Guangzhou, 510631, China
| | - Leilei Mei
- Philosophy and Social Science Laboratory of Reading and Development in Children and Adolescents (South China Normal University), Ministry of Education, Guangzhou, 510631, China.
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Mazzeo S, Morinelli C, Polito C, Giacomucci G, Moschini V, Ingannato A, Balestrini J, Frigerio D, Emiliani F, Galdo G, Crucitti C, Piazzesi D, Bagnoli S, Padiglioni S, Berti V, Sorbi S, Nacmias B, Bessi V. Data-driven subtypes of mixed semantic-logopenic primary progressive aphasia: Linguistic features, biomarker profiles and brain metabolic patterns. J Neurol Sci 2024; 460:122998. [PMID: 38615405 DOI: 10.1016/j.jns.2024.122998] [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: 02/12/2024] [Revised: 04/02/2024] [Accepted: 04/04/2024] [Indexed: 04/16/2024]
Abstract
Mixed primary progressive aphasia (mPPA) accounts for a substantial proportion of primary progressive aphasia (PPA) cases. However, the lack of a standardised definition of this condition has resulted in misclassification of PPA cases. In this study, we enrolled 55 patients diagnosed with PPA, comprising 12 semantic variant (svPPA), 23 logopenic variant (lvPPA), and 20 mPPA cases with linguistic characteristics consistent with both svPPA and lvPPA (s/lvPPA). All patients underwent language assessments, evaluation of Alzheimer's disease biomarkers (via cerebrospinal fluid analysis or Amyloid-PET), and 18F-FDG-PET brain scans. An agglomerative hierarchical clustering (AHC) analysis based on linguistic characteristics revealed two distinct clusters within the s/lvPPA group: cluster k1 (n = 10) displayed an AD-like biomarker profile, with lower levels of Aβ42 and Aβ42/Aβ40 ratio, along with higher levels of t-tau and p-tau compared to cluster k2 (n = 10). Interestingly, k1 exhibited linguistic features that were similar to those of svPPA. Both clusters exhibited extensive temporoparietal hypometabolism. These findings support the hypothesis that a subgroup of s/lvPPA may represent a clinical manifestation of AD-related PPA.
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Affiliation(s)
- Salvatore Mazzeo
- Department of Neuroscience, Psychology, Drug Research and Child Health, University of Florence, Italy; Research and Innovation Centre for Dementia-CRIDEM, Azienda Ospedaliero-Universitaria Careggi, Florence, Italy; Vita-Salute San Raffaele University, Milan, Italy; IRCCS Policlinico San Donato, San Donato Milanese, Italy
| | - Carmen Morinelli
- Research and Innovation Centre for Dementia-CRIDEM, Azienda Ospedaliero-Universitaria Careggi, Florence, Italy
| | | | - Giulia Giacomucci
- Department of Neuroscience, Psychology, Drug Research and Child Health, University of Florence, Italy
| | - Valentina Moschini
- Research and Innovation Centre for Dementia-CRIDEM, Azienda Ospedaliero-Universitaria Careggi, Florence, Italy
| | - Assunta Ingannato
- Department of Neuroscience, Psychology, Drug Research and Child Health, University of Florence, Italy
| | - Juri Balestrini
- Department of Neuroscience, Psychology, Drug Research and Child Health, University of Florence, Italy
| | - Daniele Frigerio
- Department of Neuroscience, Psychology, Drug Research and Child Health, University of Florence, Italy
| | - Filippo Emiliani
- Department of Neuroscience, Psychology, Drug Research and Child Health, University of Florence, Italy
| | - Giulia Galdo
- Department of Neuroscience, Psychology, Drug Research and Child Health, University of Florence, Italy
| | - Chiara Crucitti
- Department of Neuroscience, Psychology, Drug Research and Child Health, University of Florence, Italy
| | - Diletta Piazzesi
- Research and Innovation Centre for Dementia-CRIDEM, Azienda Ospedaliero-Universitaria Careggi, Florence, Italy
| | - Silvia Bagnoli
- Department of Neuroscience, Psychology, Drug Research and Child Health, University of Florence, Italy
| | - Sonia Padiglioni
- Research and Innovation Centre for Dementia-CRIDEM, Azienda Ospedaliero-Universitaria Careggi, Florence, Italy; Regional Referral Centre for Relational Criticalities, 50139 Tuscany Region, Italy
| | - Valentina Berti
- Department of Biomedical, Experimental and Clinical Sciences "Mario Serio", University of Florence, Italy
| | - Sandro Sorbi
- Department of Neuroscience, Psychology, Drug Research and Child Health, University of Florence, Italy; IRCCS Fondazione Don Carlo Gnocchi, Florence, Italy
| | - Benedetta Nacmias
- Department of Neuroscience, Psychology, Drug Research and Child Health, University of Florence, Italy; IRCCS Fondazione Don Carlo Gnocchi, Florence, Italy
| | - Valentina Bessi
- Department of Neuroscience, Psychology, Drug Research and Child Health, University of Florence, Italy; Research and Innovation Centre for Dementia-CRIDEM, Azienda Ospedaliero-Universitaria Careggi, Florence, Italy.
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5
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Marier A, Dadar M, Bouhali F, Montembeault M. Irregular word reading as a marker of semantic decline in Alzheimer's disease: implications for premorbid intellectual ability measurement. Alzheimers Res Ther 2024; 16:96. [PMID: 38698406 PMCID: PMC11064305 DOI: 10.1186/s13195-024-01438-3] [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: 09/24/2023] [Accepted: 03/25/2024] [Indexed: 05/05/2024]
Abstract
BACKGROUND Irregular word reading has been used to estimate premorbid intelligence in Alzheimer's disease (AD) dementia. However, reading models highlight the core influence of semantic abilities on irregular word reading, which shows early decline in AD. The primary objective of this study is to ascertain whether irregular word reading serves as an indicator of cognitive and semantic decline in AD, potentially discouraging its use as a marker for premorbid intellectual abilities. METHOD Six hundred eighty-one healthy controls (HC), 104 subjective cognitive decline, 290 early and 589 late mild cognitive impairment (EMCI, LMCI) and 348 AD participants from the Alzheimer's Disease Neuroimaging Initiative were included. Irregular word reading was assessed with the American National Adult Reading Test (AmNART). Multiple linear regressions were conducted predicting AmNART score using diagnostic category, general cognitive impairment and semantic tests. A generalized logistic mixed-effects model predicted correct reading using extracted psycholinguistic characteristics of each AmNART words. Deformation-based morphometry was used to assess the relationship between AmNART scores and voxel-wise brain volumes, as well as with the volume of a region of interest placed in the left anterior temporal lobe (ATL), a region implicated in semantic memory. RESULTS EMCI, LMCI and AD patients made significantly more errors in reading irregular words compared to HC, and AD patients made more errors than all other groups. Across the AD continuum, as well as within each diagnostic group, irregular word reading was significantly correlated to measures of general cognitive impairment / dementia severity. Neuropsychological tests of lexicosemantics were moderately correlated to irregular word reading whilst executive functioning and episodic memory were respectively weakly and not correlated. Age of acquisition, a primarily semantic variable, had a strong effect on irregular word reading accuracy whilst none of the phonological variables significantly contributed. Neuroimaging analyses pointed to bilateral hippocampal and left ATL volume loss as the main contributors to decreased irregular word reading performances. CONCLUSIONS While the AmNART may be appropriate to measure premorbid intellectual abilities in cognitively unimpaired individuals, our results suggest that it captures current semantic decline in MCI and AD patients and may therefore underestimate premorbid intelligence. On the other hand, irregular word reading tests might be clinically useful to detect semantic impairments in individuals on the AD continuum.
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Affiliation(s)
- Anna Marier
- Douglas Research Centre & Department of Psychiatry, McGill University, 6875 Boulevard LaSalle, Montréal, QC, H4H 1R3, Canada
- Department of Psychology, Université de Montréal, Succursale Centre-Ville, Montréal, QC, C.P. 6128, H3C 3J7, Canada
| | - Mahsa Dadar
- Douglas Research Centre & Department of Psychiatry, McGill University, 6875 Boulevard LaSalle, Montréal, QC, H4H 1R3, Canada
| | | | - Maxime Montembeault
- Douglas Research Centre & Department of Psychiatry, McGill University, 6875 Boulevard LaSalle, Montréal, QC, H4H 1R3, Canada.
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Burke E, Gunstad J, Hamrick P. Comparing global and local semantic coherence of spontaneous speech in persons with Alzheimer's disease and healthy controls. APPLIED CORPUS LINGUISTICS 2023; 3:100064. [PMID: 37476646 PMCID: PMC10354704 DOI: 10.1016/j.acorp.2023.100064] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/22/2023]
Affiliation(s)
- Erin Burke
- Department of Psychological Sciences, Kent State University
| | - John Gunstad
- Department of Psychological Sciences, Kent State University
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Shtyrov Y, Efremov A, Kuptsova A, Wennekers T, Gutkin B, Garagnani M. Breakdown of category-specific word representations in a brain-constrained neurocomputational model of semantic dementia. Sci Rep 2023; 13:19572. [PMID: 37949997 PMCID: PMC10638411 DOI: 10.1038/s41598-023-41922-8] [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: 02/28/2023] [Accepted: 09/04/2023] [Indexed: 11/12/2023] Open
Abstract
The neurobiological nature of semantic knowledge, i.e., the encoding and storage of conceptual information in the human brain, remains a poorly understood and hotly debated subject. Clinical data on semantic deficits and neuroimaging evidence from healthy individuals have suggested multiple cortical regions to be involved in the processing of meaning. These include semantic hubs (most notably, anterior temporal lobe, ATL) that take part in semantic processing in general as well as sensorimotor areas that process specific aspects/categories according to their modality. Biologically inspired neurocomputational models can help elucidate the exact roles of these regions in the functioning of the semantic system and, importantly, in its breakdown in neurological deficits. We used a neuroanatomically constrained computational model of frontotemporal cortices implicated in word acquisition and processing, and adapted it to simulate and explain the effects of semantic dementia (SD) on word processing abilities. SD is a devastating, yet insufficiently understood progressive neurodegenerative disease, characterised by semantic knowledge deterioration that is hypothesised to be specifically related to neural damage in the ATL. The behaviour of our brain-based model is in full accordance with clinical data-namely, word comprehension performance decreases as SD lesions in ATL progress, whereas word repetition abilities remain less affected. Furthermore, our model makes predictions about lesion- and category-specific effects of SD: our simulation results indicate that word processing should be more impaired for object- than for action-related words, and that degradation of white matter should produce more severe consequences than the same proportion of grey matter decay. In sum, the present results provide a neuromechanistic explanatory account of cortical-level language impairments observed during the onset and progress of semantic dementia.
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Affiliation(s)
- Yury Shtyrov
- Center of Functionally Integrative Neuroscience (CFIN), Institute for Clinical Medicine, Aarhus University, Aarhus, Denmark.
| | - Aleksei Efremov
- Centre for Cognition and Decision Making, Institute for Cognitive Neuroscience, HSE University, Moscow, Russia
- Montreal Neurological Institute-Hospital, McGill University, Montreal, Quebec, Canada
| | - Anastasia Kuptsova
- Centre for Cognition and Decision Making, Institute for Cognitive Neuroscience, HSE University, Moscow, Russia
| | - Thomas Wennekers
- School of Engineering, Computing and Mathematics, University of Plymouth, Plymouth, UK
| | - Boris Gutkin
- Centre for Cognition and Decision Making, Institute for Cognitive Neuroscience, HSE University, Moscow, Russia
- Département d'Etudes Cognitives, École Normale Supérieure, Paris, France
| | - Max Garagnani
- Department of Computing, Goldsmiths - University of London, London, UK.
- Brain Language Laboratory, Department of Philosophy and Humanities, Freie Universität Berlin, Berlin, Germany.
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8
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Marier A, Dadar M, Bouhali F, Montembeault M. Irregular word reading as a marker of cognitive and semantic decline in Alzheimer's disease rather than an estimate of premorbid intellectual abilities. RESEARCH SQUARE 2023:rs.3.rs-3381469. [PMID: 37841870 PMCID: PMC10571618 DOI: 10.21203/rs.3.rs-3381469/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/17/2023]
Abstract
Background Irregular word reading has been used to estimate premorbid intelligence in Alzheimer's disease (AD) dementia. However, reading models highlight the core influence of semantic abilities on irregular word reading, which shows early decline in AD. The general aim of this study is to determine whether irregular word reading is a valid estimate of premorbid intelligence, or a marker of cognitive and semantic decline in AD. Method 681 healthy controls (HC), 104 subjective cognitive decline, 290 early and 589 late mild cognitive impairment (EMCI, LMCI) and 348 AD participants from the Alzheimer's Disease Neuroimaging Initiative were included. Irregular word reading was assessed with the American National Adult Reading Test (AmNART). Multiple linear regressions were conducted predicting AmNART score using diagnostic category, general cognitive impairment and semantic tests. A generalized logistic mixed-effects model predicted correct reading using extracted psycholinguistic characteristics of each AmNART words. Deformation-based morphometry was used to assess the relationship between AmNART scores and voxel-wise brain volumes, as well as with the volume of a region of interest placed in the left anterior temporal lobe (ATL). Results EMCI, LMCI and AD patients made significantly more errors in reading irregular words compared to HC, and AD patients made more errors than all other groups. Across the AD continuum, as well as within each diagnostic group, irregular word reading was significantly correlated to measures of general cognitive impairment / dementia severity. Neuropsychological tests of lexicosemantics were moderately correlated to irregular word reading whilst executive functioning and episodic memory were respectively weakly and not correlated. Age of acquisition, a primarily semantic variable, had a strong effect on irregular word reading accuracy whilst none of the phonological variables significantly contributed. Neuroimaging analyses pointed to bilateral hippocampal and left ATL volume loss as the main contributors to decreased irregular word reading performances. Conclusions Irregular word reading performances decline throughout the AD continuum, and therefore, premorbid intelligence estimates based on the AmNART should not be considered accurate in MCI or AD. Results are consistent with the theory of irregular word reading impairments as an indicator of disease severity and semantic decline.
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Affiliation(s)
- Anna Marier
- Department of Psychology, Université de Montréal, C.P. 6128, succursale Centre-Ville, Montréal, QC, Canada, H3C 3J7
| | - Mahsa Dadar
- Douglas Research Centre & Department of Psychiatry, McGill University, 6875 Boulevard LaSalle, Montréal, QC, Canada, H4H 1R3
| | | | - Maxime Montembeault
- Douglas Research Centre & Department of Psychiatry, McGill University, 6875 Boulevard LaSalle, Montréal, QC, Canada, H4H 1R3
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9
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García-Gutiérrez F, Marquié M, Muñoz N, Alegret M, Cano A, de Rojas I, García-González P, Olivé C, Puerta R, Orellana A, Montrreal L, Pytel V, Ricciardi M, Zaldua C, Gabirondo P, Hinzen W, Lleonart N, García-Sánchez A, Tárraga L, Ruiz A, Boada M, Valero S. Harnessing acoustic speech parameters to decipher amyloid status in individuals with mild cognitive impairment. Front Neurosci 2023; 17:1221401. [PMID: 37746151 PMCID: PMC10512723 DOI: 10.3389/fnins.2023.1221401] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2023] [Accepted: 08/08/2023] [Indexed: 09/26/2023] Open
Abstract
Alzheimer's disease (AD) is a neurodegenerative condition characterized by a gradual decline in cognitive functions. Currently, there are no effective treatments for AD, underscoring the importance of identifying individuals in the preclinical stages of mild cognitive impairment (MCI) to enable early interventions. Among the neuropathological events associated with the onset of the disease is the accumulation of amyloid protein in the brain, which correlates with decreased levels of Aβ42 peptide in the cerebrospinal fluid (CSF). Consequently, the development of non-invasive, low-cost, and easy-to-administer proxies for detecting Aβ42 positivity in CSF becomes particularly valuable. A promising approach to achieve this is spontaneous speech analysis, which combined with machine learning (ML) techniques, has proven highly useful in AD. In this study, we examined the relationship between amyloid status in CSF and acoustic features derived from the description of the Cookie Theft picture in MCI patients from a memory clinic. The cohort consisted of fifty-two patients with MCI (mean age 73 years, 65% female, and 57% positive amyloid status). Eighty-eight acoustic parameters were extracted from voice recordings using the extended Geneva Minimalistic Acoustic Parameter Set (eGeMAPS), and several ML models were used to classify the amyloid status. Furthermore, interpretability techniques were employed to examine the influence of input variables on the determination of amyloid-positive status. The best model, based on acoustic variables, achieved an accuracy of 75% with an area under the curve (AUC) of 0.79 in the prediction of amyloid status evaluated by bootstrapping and Leave-One-Out Cross Validation (LOOCV), outperforming conventional neuropsychological tests (AUC = 0.66). Our results showed that the automated analysis of voice recordings derived from spontaneous speech tests offers valuable insights into AD biomarkers during the preclinical stages. These findings introduce novel possibilities for the use of digital biomarkers to identify subjects at high risk of developing AD.
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Affiliation(s)
| | - Marta Marquié
- Ace Alzheimer Center Barcelona, Universitat Internacional de Catalunya, Barcelona, Spain
- Networking Research Center on Neurodegenerative Diseases (CIBERNED), Instituto de Salud Carlos III, Madrid, Spain
| | - Nathalia Muñoz
- Ace Alzheimer Center Barcelona, Universitat Internacional de Catalunya, Barcelona, Spain
| | - Montserrat Alegret
- Ace Alzheimer Center Barcelona, Universitat Internacional de Catalunya, Barcelona, Spain
- Networking Research Center on Neurodegenerative Diseases (CIBERNED), Instituto de Salud Carlos III, Madrid, Spain
| | - Amanda Cano
- Ace Alzheimer Center Barcelona, Universitat Internacional de Catalunya, Barcelona, Spain
- Networking Research Center on Neurodegenerative Diseases (CIBERNED), Instituto de Salud Carlos III, Madrid, Spain
| | - Itziar de Rojas
- Ace Alzheimer Center Barcelona, Universitat Internacional de Catalunya, Barcelona, Spain
- Networking Research Center on Neurodegenerative Diseases (CIBERNED), Instituto de Salud Carlos III, Madrid, Spain
| | - Pablo García-González
- Ace Alzheimer Center Barcelona, Universitat Internacional de Catalunya, Barcelona, Spain
| | - Clàudia Olivé
- Ace Alzheimer Center Barcelona, Universitat Internacional de Catalunya, Barcelona, Spain
| | - Raquel Puerta
- Ace Alzheimer Center Barcelona, Universitat Internacional de Catalunya, Barcelona, Spain
| | - Adelina Orellana
- Ace Alzheimer Center Barcelona, Universitat Internacional de Catalunya, Barcelona, Spain
- Networking Research Center on Neurodegenerative Diseases (CIBERNED), Instituto de Salud Carlos III, Madrid, Spain
| | - Laura Montrreal
- Ace Alzheimer Center Barcelona, Universitat Internacional de Catalunya, Barcelona, Spain
| | - Vanesa Pytel
- Ace Alzheimer Center Barcelona, Universitat Internacional de Catalunya, Barcelona, Spain
| | - Mario Ricciardi
- Ace Alzheimer Center Barcelona, Universitat Internacional de Catalunya, Barcelona, Spain
| | | | | | - Wolfram Hinzen
- Department of Translation and Language Sciences, Universitat Pompeu Fabra, Barcelona, Spain
- Institut Català de Recerca i Estudis Avançats (ICREA), Barcelona, Spain
| | - Núria Lleonart
- Ace Alzheimer Center Barcelona, Universitat Internacional de Catalunya, Barcelona, Spain
| | - Ainhoa García-Sánchez
- Ace Alzheimer Center Barcelona, Universitat Internacional de Catalunya, Barcelona, Spain
| | - Lluís Tárraga
- Ace Alzheimer Center Barcelona, Universitat Internacional de Catalunya, Barcelona, Spain
- Networking Research Center on Neurodegenerative Diseases (CIBERNED), Instituto de Salud Carlos III, Madrid, Spain
| | - Agustín Ruiz
- Ace Alzheimer Center Barcelona, Universitat Internacional de Catalunya, Barcelona, Spain
- Networking Research Center on Neurodegenerative Diseases (CIBERNED), Instituto de Salud Carlos III, Madrid, Spain
| | - Mercè Boada
- Ace Alzheimer Center Barcelona, Universitat Internacional de Catalunya, Barcelona, Spain
- Networking Research Center on Neurodegenerative Diseases (CIBERNED), Instituto de Salud Carlos III, Madrid, Spain
| | - Sergi Valero
- Ace Alzheimer Center Barcelona, Universitat Internacional de Catalunya, Barcelona, Spain
- Networking Research Center on Neurodegenerative Diseases (CIBERNED), Instituto de Salud Carlos III, Madrid, Spain
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10
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de Godoy LL, Studart-Neto A, de Paula DR, Green N, Halder A, Arantes P, Chaim KT, Moraes NC, Yassuda MS, Nitrini R, Dresler M, da Costa Leite C, Panovska-Griffiths J, Soddu A, Bisdas S. Phenotyping Superagers Using Resting-State fMRI. AJNR Am J Neuroradiol 2023; 44:424-433. [PMID: 36927760 PMCID: PMC10084893 DOI: 10.3174/ajnr.a7820] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2022] [Accepted: 02/19/2023] [Indexed: 03/18/2023]
Abstract
BACKGROUND AND PURPOSE Superagers are defined as older adults with episodic memory performance similar or superior to that in middle-aged adults. This study aimed to investigate the key differences in discriminative networks and their main nodes between superagers and cognitively average elderly controls. In addition, we sought to explore differences in sensitivity in detecting these functional activities across the networks at 3T and 7T MR imaging fields. MATERIALS AND METHODS Fifty-five subjects 80 years of age or older were screened using a detailed neuropsychological protocol, and 31 participants, comprising 14 superagers and 17 cognitively average elderly controls, were included for analysis. Participants underwent resting-state-fMRI at 3T and 7T MR imaging. A prediction classification algorithm using a penalized regression model on the measurements of the network was used to calculate the probabilities of a healthy older adult being a superager. Additionally, ORs quantified the influence of each node across preselected networks. RESULTS The key networks that differentiated superagers and elderly controls were the default mode, salience, and language networks. The most discriminative nodes (ORs > 1) in superagers encompassed areas in the precuneus posterior cingulate cortex, prefrontal cortex, temporoparietal junction, temporal pole, extrastriate superior cortex, and insula. The prediction classification model for being a superager showed better performance using the 7T compared with 3T resting-state-fMRI data set. CONCLUSIONS Our findings suggest that the functional connectivity in the default mode, salience, and language networks can provide potential imaging biomarkers for predicting superagers. The 7T field holds promise for the most appropriate study setting to accurately detect the functional connectivity patterns in superagers.
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Affiliation(s)
- L L de Godoy
- From the Departments of Radiology and Oncology (L.L.d.G., P.A., K.T.C., C.d.C.L.)
- Lysholm Department of Neuroradiology (L.L.d.G., S.B.), The National Hospital of Neurology and Neurosurgery
| | - A Studart-Neto
- Neurology (A.S.-N., N.C.M., M.S.Y., R.N.), Hospital das Clinicas, Faculdade de Medicina da Universidade de Sao Paulo, Universidade de Sao Paulo, Sao Paulo, Brazil
| | - D R de Paula
- Donders Institute for Brain Cognition and Behavior (D.R.d.P., M.D.), Radboud University Medical Centre, Nijmegen, the Netherlands
| | - N Green
- Department of Statistics (N.G.), University College London, London, UK
| | - A Halder
- Departments of Medical Biophysics (A.H.)
| | - P Arantes
- From the Departments of Radiology and Oncology (L.L.d.G., P.A., K.T.C., C.d.C.L.)
| | - K T Chaim
- From the Departments of Radiology and Oncology (L.L.d.G., P.A., K.T.C., C.d.C.L.)
| | - N C Moraes
- Neurology (A.S.-N., N.C.M., M.S.Y., R.N.), Hospital das Clinicas, Faculdade de Medicina da Universidade de Sao Paulo, Universidade de Sao Paulo, Sao Paulo, Brazil
| | - M S Yassuda
- Neurology (A.S.-N., N.C.M., M.S.Y., R.N.), Hospital das Clinicas, Faculdade de Medicina da Universidade de Sao Paulo, Universidade de Sao Paulo, Sao Paulo, Brazil
| | - R Nitrini
- Neurology (A.S.-N., N.C.M., M.S.Y., R.N.), Hospital das Clinicas, Faculdade de Medicina da Universidade de Sao Paulo, Universidade de Sao Paulo, Sao Paulo, Brazil
| | - M Dresler
- Donders Institute for Brain Cognition and Behavior (D.R.d.P., M.D.), Radboud University Medical Centre, Nijmegen, the Netherlands
| | - C da Costa Leite
- From the Departments of Radiology and Oncology (L.L.d.G., P.A., K.T.C., C.d.C.L.)
| | - J Panovska-Griffiths
- The Big Data Institute and the Pandemic Sciences Institute (J.P.-G.)
- The Queen's College (J.P.-G.), University of Oxford, Oxford, UK
| | - A Soddu
- Physics and Astronomy (A.S.), University of Western Ontario, London, Ontario, Canada
| | - S Bisdas
- Lysholm Department of Neuroradiology (L.L.d.G., S.B.), The National Hospital of Neurology and Neurosurgery
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11
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Mendez MF, Nasir I. Distinguishing Semantic Variant Primary Progressive Aphasia from Alzheimer’s Disease. J Alzheimers Dis Rep 2023; 7:227-234. [PMID: 37090957 PMCID: PMC10116168 DOI: 10.3233/adr-230010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2023] [Accepted: 03/01/2023] [Indexed: 03/30/2023] Open
Abstract
The differentiation of semantic variant primary progressive aphasia from dementia and Alzheimer’s disease can be difficult, particularly when the semantic anomia is pronounced. This report describes a patient who presented with complaints of memory loss and proved to have prominent semantic loss of all types of nouns, common and proper, concrete and abstract, yet continued to live independently and maintain his activities of daily living. The evaluation was consistent for semantic variant primary progressive aphasia with degradation of semantic knowledge and focal anterior temporal atrophy and hypometabolism. This report summarizes the literature and discusses the differential diagnosis of this disorder from Alzheimer’s disease and related dementias.
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Affiliation(s)
- Mario F. Mendez
- Department of Neurology, Department of Psychiatry and Behavioral Sciences, David Geffen School of Medicine, University of California Los Angeles (UCLA), Neurology Service, Neurobehavior Unit, V.A. Greater Los Angeles Healthcare System, Los Angeles, CA, USA
- Correspondence to: Mario F. Mendez, MD, PhD, Neurobehavior Unit, V.A. Greater Los Angeles Healthcare Center, 11301 Wilshire Blvd., Los Angeles, CA 90073, USA. Tel.: +1 310 478 3711/Ext. 42696; Fax: +1 310 268 4181; E-mail:
| | - Imaad Nasir
- Department of Neurology, Department of Psychiatry and Behavioral Sciences, David Geffen School of Medicine, University of California Los Angeles (UCLA), Neurology Service, Neurobehavior Unit, V.A. Greater Los Angeles Healthcare System, Los Angeles, CA, USA
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12
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Hajjar I, Okafor M, Choi JD, Moore E, Abrol A, Calhoun VD, Goldstein FC. Development of digital voice biomarkers and associations with cognition, cerebrospinal biomarkers, and neural representation in early Alzheimer's disease. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2023; 15:e12393. [PMID: 36777093 PMCID: PMC9899764 DOI: 10.1002/dad2.12393] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/27/2022] [Revised: 12/08/2022] [Accepted: 12/12/2022] [Indexed: 02/08/2023]
Abstract
Introduction Advances in natural language processing (NLP), speech recognition, and machine learning (ML) allow the exploration of linguistic and acoustic changes previously difficult to measure. We developed processes for deriving lexical-semantic and acoustic measures as Alzheimer's disease (AD) digital voice biomarkers. Methods We collected connected speech, neuropsychological, neuroimaging, and cerebrospinal fluid (CSF) AD biomarker data from 92 cognitively unimpaired (40 Aβ+) and 114 impaired (63 Aβ+) participants. Acoustic and lexical-semantic features were derived from audio recordings using ML approaches. Results Lexical-semantic (area under the curve [AUC] = 0.80) and acoustic (AUC = 0.77) scores demonstrated higher diagnostic performance for detecting MCI compared to Boston Naming Test (AUC = 0.66). Only lexical-semantic scores detected amyloid-β status (p = 0.0003). Acoustic scores associated with hippocampal volume (p = 0.017) while lexical-semantic scores associated with CSF amyloid-β (p = 0.007). Both measures were significantly associated with 2-year disease progression. Discussion These preliminary findings suggest that derived digital biomarkers may identify cognitive impairment in preclinical and prodromal AD, and may predict disease progression. Highlights This study derived lexical-semantic and acoustics features as Alzheimer's disease (AD) digital biomarkers.These features were derived from audio recordings using machine learning approaches.Voice biomarkers detected cognitive impairment and amyloid-β status in early stages of AD.Voice biomarkers may predict Alzheimer's disease progression.These markers significantly mapped to functional connectivity in AD-susceptible brain regions.
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Affiliation(s)
- Ihab Hajjar
- Department of NeurologyUniversity of Texas SouthwesternDallasTexasUSA,Department of NeurologyEmory University School of MedicineAtlantaGeorgiaUSA
| | - Maureen Okafor
- Department of NeurologyEmory University School of MedicineAtlantaGeorgiaUSA
| | - Jinho D. Choi
- Department of Computer ScienceEmory UniversityAtlantaGeorgiaUSA
| | - Elliot Moore
- School of Electrical & Computer EngineeringGeorgia Institute of TechnologyAtlantaGeorgiaUSA
| | - Anees Abrol
- Tri‐institutional Center for Translational Research in Neuroimaging and Data ScienceGeorgia State UniversityGeorgia Institute of TechnologyEmory UniversityAtlantaGeorgiaUSA
| | - Vince D. Calhoun
- Tri‐institutional Center for Translational Research in Neuroimaging and Data ScienceGeorgia State UniversityGeorgia Institute of TechnologyEmory UniversityAtlantaGeorgiaUSA
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13
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Effective Connectivity Evaluation of Resting-State Brain Networks in Alzheimer's Disease, Amnestic Mild Cognitive Impairment, and Normal Aging: An Exploratory Study. Brain Sci 2023; 13:brainsci13020265. [PMID: 36831808 PMCID: PMC9954618 DOI: 10.3390/brainsci13020265] [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: 12/24/2022] [Revised: 01/27/2023] [Accepted: 02/01/2023] [Indexed: 02/09/2023] Open
Abstract
(1) Background: Alzheimer's disease (AD) is a neurodegenerative disease with a high prevalence. Despite the cognitive tests to diagnose AD, there are pitfalls in early diagnosis. Brain deposition of pathological markers of AD can affect the direction and intensity of the signaling. The study of effective connectivity allows the evaluation of intensity flow and signaling pathways in functional regions, even in the early stage, known as amnestic mild cognitive impairment (aMCI). (2) Methods: 16 aMCI, 13 AD, and 14 normal subjects were scanned using resting-state fMRI and T1-weighted protocols. After data pre-processing, the signal of the predefined nodes was extracted, and spectral dynamic causal modeling analysis (spDCM) was constructed. Afterward, the mean and standard deviation of the Jacobin matrix of each subject describing effective connectivity was calculated and compared. (3) Results: The maps of effective connectivity in the brain networks of the three groups were different, and the direction and strength of the causal effect with the progression of the disease showed substantial changes. (4) Conclusions: Impaired information flow in the resting-state networks of the aMCI and AD groups was found versus normal groups. Effective connectivity can serve as a potential marker of Alzheimer's pathophysiology, even in the early stages of the disease.
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14
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Mohammadian F, Zare Sadeghi A, Noroozian M, Malekian V, Abbasi Sisara M, Hashemi H, Mobarak Salari H, Valizadeh G, Samadi F, Sodaei F, Saligheh Rad H. Quantitative Assessment of Resting-State Functional Connectivity MRI to Differentiate Amnestic Mild Cognitive Impairment, Late-Onset Alzheimer's Disease From Normal Subjects. J Magn Reson Imaging 2022; 57:1702-1712. [PMID: 36226735 DOI: 10.1002/jmri.28469] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2022] [Revised: 09/25/2022] [Accepted: 09/27/2022] [Indexed: 11/11/2022] Open
Abstract
BACKGROUND Alzheimer disease (AD) is a neurological disorder with brain network dysfunction. Investigation of the brain network functional connectivity (FC) alterations using resting-state functional MRI (rs-fMRI) can provide valuable information about the brain network pattern in early AD diagnosis. PURPOSE To quantitatively assess FC patterns of resting-state brain networks and graph theory metrics (GTMs) to identify potential features for differentiation of amnestic mild cognitive impairment (aMCI) and late-onset AD from normal. STUDY TYPE Prospective. SUBJECTS A total of 14 normal, 16 aMCI, and 13 late-onset AD. FIELD STRENGTH/SEQUENCE A 3.0 T; rs-fMRI: single-shot 2D-EPI and T1-weighted structure: MPRAGE. ASSESSMENT By applying bivariate correlation coefficient and Fisher transformation on the time series of predefined ROIs' pairs, correlation coefficient matrixes and ROI-to-ROI connectivity (RRC) were extracted. By thresholding the RRC matrix (with a threshold of 0.15), a graph adjacency matrix was created to compute GTMs. STATISTICAL TESTS Region of interest (ROI)-based analysis: parametric multivariable statistical analysis (PMSA) with a false discovery rate using (FDR)-corrected P < 0.05 cluster-level threshold together with posthoc uncorrected P < 0.05 connection-level threshold. Graph-theory analysis (GTA): P-FDR-corrected < 0.05. One-way ANOVA and Chi-square tests were used to compare clinical characteristics. RESULTS PMSA differentiated AD from normal, with a significant decrease in FC of default mode, salience, dorsal attention, frontoparietal, language, visual, and cerebellar networks. Furthermore, significant increase in overall FC of visual and language networks was observed in aMCI compared to normal. GTA revealed a significant decrease in global-efficiency (28.05 < 45), local-efficiency (22.98 < 24.05), and betweenness-centrality (14.60 < 17.39) for AD against normal. Moreover, a significant increase in local-efficiency (33.46 > 24.05) and clustering-coefficient (25 > 20.18) were found in aMCI compared to normal. DATA CONCLUSION This study demonstrated resting-state FC potential as an indicator to differentiate AD, aMCI, and normal. GTA revealed brain integration and breakdown by providing concise and comprehensible statistics. EVIDENCE LEVEL 1 TECHNICAL EFFICACY: Stage 2.
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Affiliation(s)
- Fatemeh Mohammadian
- Department of Medical Physics and Biomedical Engineering, Tehran University of Medical Sciences, Tehran, Iran.,Quantitative Medical Imaging/Spectroscopy Group, Tehran University of Medical Science, Tehran, Iran
| | - Arash Zare Sadeghi
- Medical Physics Department, Iran University of Medical Sciences, Tehran, Iran
| | - Maryam Noroozian
- Department of Psychiatry, Roozbeh Hospital, Tehran University of Medical Sciences, Tehran, Iran
| | - Vahid Malekian
- Wellcome Centre for Human Neuroimaging, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Majid Abbasi Sisara
- Electrical Engineering Department, Sharif University of Technology, Tehran, Iran
| | - Hasan Hashemi
- Department of Radiology, Advanced Diagnostic and Interventional Radiology Research Center, Imam Khomeini Hospital, Tehran University of Medical Sciences, Tehran, Iran
| | - Hanieh Mobarak Salari
- Quantitative Medical Imaging/Spectroscopy Group, Tehran University of Medical Science, Tehran, Iran
| | - Gelareh Valizadeh
- Quantitative Medical Imaging/Spectroscopy Group, Tehran University of Medical Science, Tehran, Iran
| | - Fardin Samadi
- Department of Medical Physics and Biomedical Engineering, Tehran University of Medical Sciences, Tehran, Iran
| | - Forough Sodaei
- Department of Medical Physics and Biomedical Engineering, Tehran University of Medical Sciences, Tehran, Iran.,Quantitative Medical Imaging/Spectroscopy Group, Tehran University of Medical Science, Tehran, Iran
| | - Hamidreza Saligheh Rad
- Department of Medical Physics and Biomedical Engineering, Tehran University of Medical Sciences, Tehran, Iran.,Quantitative Medical Imaging/Spectroscopy Group, Tehran University of Medical Science, Tehran, Iran
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15
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Rafiq M, Jucla M, Guerrier L, Péran P, Pariente J, Pistono A. The functional connectivity of language network across the life span: Disentangling the effects of typical aging from Alzheimer's disease. Front Aging Neurosci 2022; 14:959405. [PMID: 36212038 PMCID: PMC9537133 DOI: 10.3389/fnagi.2022.959405] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2022] [Accepted: 08/29/2022] [Indexed: 11/20/2022] Open
Abstract
Language is usually characterized as the most preserved cognitive function during typical aging. Several neuroimaging studies have shown that healthy aging is characterized by inter-network compensation which correlates with better language performance. On the contrary, language deficits occur early in the course of Alzheimer's disease (AD). Therefore, this study compares young participants, healthy older participants, and prodromal AD participants, to characterize functional connectivity changes in language due to healthy aging or prodromal AD. We first compared measures of integrated local correlations (ILCs) and fractional amplitude of low-frequency oscillations (fALFFs) in language areas. We showed that both groups of older adults had lower connectivity values within frontal language-related areas. In the healthy older group, higher integrated local correlation (ILC) and fALFF values in frontal areas were positively correlated with fluency and naming tasks. We then performed seed-based analyses for more precise discrimination between healthy aging and prodromal AD. Healthy older adults showed no functional alterations at a seed-based level when the seed area was not or only slightly impaired compared to the young adults [i.e., inferior frontal gyrus (IFG)], while prodromal AD participants also showed decreased connectivity at a seed-based level. On the contrary, when the seed area was similarly impaired in healthy older adults and prodromal AD participants on ILC and fALFF measures, their connectivity maps were also similar during seed-to-voxel analyses [i.e., superior frontal gyrus (SFG)]. Current results show that functional connectivity measures at a voxel level (ILC and fALFF) are already impacted in healthy aging. These findings imply that the functional compensations observed in healthy aging depend on the functional integrity of brain areas at a voxel level.
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Affiliation(s)
- Marie Rafiq
- Department of Neurology, Neuroscience Centre, Toulouse University Hospital, Toulouse, France
- Toulouse NeuroImaging Center, Toulouse University, Inserm, University Paul Sabatier (UPS), Toulouse, France
| | - Mélanie Jucla
- Octogone-Lordat Interdisciplinary Research Unit (EA 4156), University of Toulouse II-Jean Jaurès, Toulouse, France
| | - Laura Guerrier
- Toulouse NeuroImaging Center, Toulouse University, Inserm, University Paul Sabatier (UPS), Toulouse, France
| | - Patrice Péran
- Toulouse NeuroImaging Center, Toulouse University, Inserm, University Paul Sabatier (UPS), Toulouse, France
| | - Jérémie Pariente
- Department of Neurology, Neuroscience Centre, Toulouse University Hospital, Toulouse, France
- Toulouse NeuroImaging Center, Toulouse University, Inserm, University Paul Sabatier (UPS), Toulouse, France
| | - Aurélie Pistono
- Department of Experimental Psychology, Ghent University, Ghent, Belgium
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16
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Shen Y, Lu Q, Zhang T, Yan H, Mansouri N, Osipowicz K, Tanglay O, Young I, Doyen S, Lu X, Zhang X, Sughrue ME, Wang T. Use of machine learning to identify functional connectivity changes in a clinical cohort of patients at risk for dementia. Front Aging Neurosci 2022; 14:962319. [PMID: 36118683 PMCID: PMC9475065 DOI: 10.3389/fnagi.2022.962319] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2022] [Accepted: 08/08/2022] [Indexed: 11/13/2022] Open
Abstract
ObjectiveProgressive conditions characterized by cognitive decline, including mild cognitive impairment (MCI) and subjective cognitive decline (SCD) are clinical conditions representing a major risk factor to develop dementia, however, the diagnosis of these pre-dementia conditions remains a challenge given the heterogeneity in clinical trajectories. Earlier diagnosis requires data-driven approaches for improved and targeted treatment modalities.MethodsNeuropsychological tests, baseline anatomical T1 magnetic resonance imaging (MRI), resting-state functional MRI (rsfMRI), and diffusion weighted scans were obtained from 35 patients with SCD, 19 with MCI, and 36 age-matched healthy controls (HC). A recently developed machine learning technique, Hollow Tree Super (HoTS) was utilized to classify subjects into diagnostic categories based on their FC, and derive network and parcel-based FC features contributing to each model. The same approach was used to identify features associated with performance in a range of neuropsychological tests. We concluded our analysis by looking at changes in PageRank centrality (a measure of node hubness) between the diagnostic groups.ResultsSubjects were classified into diagnostic categories with a high area under the receiver operating characteristic curve (AUC-ROC), ranging from 0.73 to 0.84. The language networks were most notably associated with classification. Several central networks and sensory brain regions were predictors of poor performance in neuropsychological tests, suggesting maladaptive compensation. PageRank analysis highlighted that basal and limbic deep brain region, along with the frontal operculum demonstrated a reduction in centrality in both SCD and MCI patients compared to controls.ConclusionOur methods highlight the potential to explore the underlying neural networks contributing to the cognitive changes and neuroplastic responses in prodromal dementia.
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Affiliation(s)
- Ying Shen
- Rehabilitation Medicine Center, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
- Department of Rehabilitation Medicine, The Affiliated Jiangsu Shengze Hospital of Nanjing Medical University, Suzhou, China
| | - Qian Lu
- Rehabilitation Medicine Center, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
- Department of Rehabilitation Medicine, The Affiliated Jiangsu Shengze Hospital of Nanjing Medical University, Suzhou, China
| | - Tianjiao Zhang
- Rehabilitation Medicine Center, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Hailang Yan
- Department of Radiology, The Affiliated Jiangsu Shengze Hospital of Nanjing Medical University, Suzhou, China
| | | | | | - Onur Tanglay
- Omniscient Neurotechnology, Sydney, NSW, Australia
| | | | | | - Xi Lu
- Department of Rehabilitation Medicine, China-Japan Friendship Hospital, Beijing, China
| | - Xia Zhang
- International Joint Research Center on Precision Brain Medicine, XD Group Hospital, Xi’an, China
- Shenzhen Xijia Medical Technology Company, Shenzhen, China
| | - Michael E. Sughrue
- Omniscient Neurotechnology, Sydney, NSW, Australia
- International Joint Research Center on Precision Brain Medicine, XD Group Hospital, Xi’an, China
- Michael E. Sughrue,
| | - Tong Wang
- Rehabilitation Medicine Center, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
- *Correspondence: Tong Wang,
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17
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Fiorentino J, Payne M, Cancian E, Plonka A, Dumas LÉ, Chirio D, Demonchy É, Risso K, Askenazy-Gittard F, Guevara N, Castillo L, Robert P, Manera V, Vandersteen C, Gros A. Correlations between Persistent Olfactory and Semantic Memory Disorders after SARS-CoV-2 Infection. Brain Sci 2022; 12:brainsci12060714. [PMID: 35741601 PMCID: PMC9221020 DOI: 10.3390/brainsci12060714] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Revised: 05/20/2022] [Accepted: 05/27/2022] [Indexed: 12/11/2022] Open
Abstract
Background: One of the main symptoms of COVID-19 is hyposmia or even anosmia. Olfactory identification is most often affected. In addition, some cognitive disorders tend to appear following the infection, particularly regarding executive functions, attention, and memory. Olfaction, and especially olfactory identification, is related to semantic memory which manages general knowledge about the world. The main objective of this study was to determine whether semantic memory is impaired in case of persistent post COVID-19 olfactory disorders. Methods: 84 patients (average age of 42.8 ± 13.6 years) with post COVID-19 olfactory loss were included after consulting to the ENT department. The clinical evaluation was carried out with the Pyramid and Palm Tree Test, the word-retrieval task from the Grémots, the Sniffin’ Sticks Test and the Computerised Olfactory Test for the Diagnosis of Alzheimer’s Disease. Results: Semantic memory was impaired in 20% (n = 17) of patients, especially in the 19–39 age-group. The olfactory threshold was only significantly correlated with the semantic memory scores. Conclusions: Similar to all cognitive disorders, semantic disorders can have a negative impact on quality of life if left untreated. It is essential to carry out specific assessments of post COVID-19 patients to accurately determine their disorders and to put in place the best possible rehabilitation, such as speech and language therapy, to avoid quality-of-life impairment.
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Affiliation(s)
- Julie Fiorentino
- Département d’Orthophonie de Nice, Faculté de Médecine de Nice, 06107 Nice, France; (M.P.); (A.P.); (P.R.); (V.M.); (A.G.)
- Laboratoire CoBTeK, Institut Claude Pompidou, Université Côte d’Azur, 06100 Nice, France; (L.-É.D.); (F.A.-G.); (C.V.)
- Correspondence: ; Tel.: +33-674217791
| | - Magali Payne
- Département d’Orthophonie de Nice, Faculté de Médecine de Nice, 06107 Nice, France; (M.P.); (A.P.); (P.R.); (V.M.); (A.G.)
- Laboratoire CoBTeK, Institut Claude Pompidou, Université Côte d’Azur, 06100 Nice, France; (L.-É.D.); (F.A.-G.); (C.V.)
| | - Elisa Cancian
- Institut Universitaire de la Face et du Cou, Centre Hospitalier Universitaire, Université Côte d’Azur, 06100 Nice, France;
| | - Alexandra Plonka
- Département d’Orthophonie de Nice, Faculté de Médecine de Nice, 06107 Nice, France; (M.P.); (A.P.); (P.R.); (V.M.); (A.G.)
- Laboratoire CoBTeK, Institut Claude Pompidou, Université Côte d’Azur, 06100 Nice, France; (L.-É.D.); (F.A.-G.); (C.V.)
- Institut NeuroMod, Université Côté d’Azur, 06902 Sophia-Antipolis, France; (N.G.); (L.C.)
| | - Louise-Émilie Dumas
- Laboratoire CoBTeK, Institut Claude Pompidou, Université Côte d’Azur, 06100 Nice, France; (L.-É.D.); (F.A.-G.); (C.V.)
- Hôpitaux Pédiatriques de Nice CHU-LENVAL, 57 Avenue de la Californie, Centre Hospitalier Universitaire, Université Côte d’Azur, 06200 Nice, France
| | - David Chirio
- Département de Médecine Infectiologique, Hôpital de l’Archet, 151 Route de Saint-Antoine, Centre Hospitalier Universitaire, Université Côte d’Azur, 06200 Nice, France; (D.C.); (É.D.); (K.R.)
| | - Élisa Demonchy
- Département de Médecine Infectiologique, Hôpital de l’Archet, 151 Route de Saint-Antoine, Centre Hospitalier Universitaire, Université Côte d’Azur, 06200 Nice, France; (D.C.); (É.D.); (K.R.)
| | - Karine Risso
- Département de Médecine Infectiologique, Hôpital de l’Archet, 151 Route de Saint-Antoine, Centre Hospitalier Universitaire, Université Côte d’Azur, 06200 Nice, France; (D.C.); (É.D.); (K.R.)
| | - Florence Askenazy-Gittard
- Laboratoire CoBTeK, Institut Claude Pompidou, Université Côte d’Azur, 06100 Nice, France; (L.-É.D.); (F.A.-G.); (C.V.)
- Hôpitaux Pédiatriques de Nice CHU-LENVAL, 57 Avenue de la Californie, Centre Hospitalier Universitaire, Université Côte d’Azur, 06200 Nice, France
| | - Nicolas Guevara
- Institut NeuroMod, Université Côté d’Azur, 06902 Sophia-Antipolis, France; (N.G.); (L.C.)
| | - Laurent Castillo
- Institut NeuroMod, Université Côté d’Azur, 06902 Sophia-Antipolis, France; (N.G.); (L.C.)
| | - Philippe Robert
- Département d’Orthophonie de Nice, Faculté de Médecine de Nice, 06107 Nice, France; (M.P.); (A.P.); (P.R.); (V.M.); (A.G.)
- Laboratoire CoBTeK, Institut Claude Pompidou, Université Côte d’Azur, 06100 Nice, France; (L.-É.D.); (F.A.-G.); (C.V.)
| | - Valeria Manera
- Département d’Orthophonie de Nice, Faculté de Médecine de Nice, 06107 Nice, France; (M.P.); (A.P.); (P.R.); (V.M.); (A.G.)
- Laboratoire CoBTeK, Institut Claude Pompidou, Université Côte d’Azur, 06100 Nice, France; (L.-É.D.); (F.A.-G.); (C.V.)
| | - Clair Vandersteen
- Laboratoire CoBTeK, Institut Claude Pompidou, Université Côte d’Azur, 06100 Nice, France; (L.-É.D.); (F.A.-G.); (C.V.)
- Institut Universitaire de la Face et du Cou, Centre Hospitalier Universitaire, Université Côte d’Azur, 06100 Nice, France;
| | - Auriane Gros
- Département d’Orthophonie de Nice, Faculté de Médecine de Nice, 06107 Nice, France; (M.P.); (A.P.); (P.R.); (V.M.); (A.G.)
- Laboratoire CoBTeK, Institut Claude Pompidou, Université Côte d’Azur, 06100 Nice, France; (L.-É.D.); (F.A.-G.); (C.V.)
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18
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Boccalini C, Carli G, Tondo G, Polito C, Catricalà E, Berti V, Bessi V, Sorbi S, Iannaccone S, Esposito V, Cappa SF, Perani D. Brain metabolic connectivity reconfiguration in the semantic variant of primary progressive aphasia. Cortex 2022; 154:1-14. [PMID: 35717768 DOI: 10.1016/j.cortex.2022.05.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2021] [Revised: 03/16/2022] [Accepted: 05/09/2022] [Indexed: 11/30/2022]
Abstract
Functional network-level alterations in the semantic variant of Primary Progressive Aphasia (sv-PPA) are relevant to understanding the clinical features and the neural spreading of the pathology. We assessed the effect of neurodegeneration on brain systems reorganization in early sv-PPA, using advanced brain metabolic connectivity approaches. Forty-four subjects with sv-PPA and forty-four age-matched healthy controls (HC) were included. We applied two multivariate approaches to [18F]FDG-PET data - i.e., sparse inverse covariance estimation and seed-based interregional correlation analysis - to assess the integrity of (i) the whole-brain metabolic connectivity and (ii) the connectivity of brain regions relevant for cognitive and behavioral functions. Whole-brain analysis revealed a global-scale connectivity reconfiguration in sv-PPA, with widespread changes in metabolic connections of frontal, temporal, and parietal regions. In comparison to HC, the seed-based analysis revealed a) functional isolation of the left anterior temporal lobe (ATL), b) decreases in temporo-occipital connections and contralateral homologous regions, c) connectivity increases to the dorsal parietal cortex from the spared posterior temporal cortex, d) a disruption of the large-scale limbic brain networks. In sv-PPA, the severe functional derangement of the left ATL may lead to an extensive connectivity reconfiguration, encompassing several brain regions, including those not yet affected by neurodegeneration. These findings support the hypothesis that in sv-PPA the focal vulnerability of the core region (i.e., ATL) can potentially drive the widespread cerebral connectivity changes, already present in the early phase.
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Affiliation(s)
- Cecilia Boccalini
- Vita-Salute San Raffaele University, Milan, Italy; In Vivo Human Molecular and Structural Neuroimaging Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Giulia Carli
- Vita-Salute San Raffaele University, Milan, Italy; In Vivo Human Molecular and Structural Neuroimaging Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Giacomo Tondo
- Vita-Salute San Raffaele University, Milan, Italy; In Vivo Human Molecular and Structural Neuroimaging Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Cristina Polito
- Department of Neuroscience, Psychology, Drug Research and Child Health, University of Florence, Florence, Italy; IRCCS Fondazione Don Carlo Gnocchi, Florence, Italy
| | | | - Valentina Berti
- Nuclear Medicine Unit, Department of Experimental and Clinical Biomedical Sciences, University of Florence, Florence, Italy
| | - Valentina Bessi
- Department of Neuroscience, Psychology, Drug Research and Child Health, University of Florence, Florence, Italy
| | - Sandro Sorbi
- Department of Neuroscience, Psychology, Drug Research and Child Health, University of Florence, Florence, Italy; IRCCS Fondazione Don Carlo Gnocchi, Florence, Italy
| | - Sandro Iannaccone
- Department of Rehabilitation and Functional Recovery, San Raffaele Hospital, Milan, Italy
| | | | - Stefano F Cappa
- University School for Advanced Studies (IUSS), Pavia, Italy; IRCCS Mondino Foundation, Pavia, Italy
| | - Daniela Perani
- Vita-Salute San Raffaele University, Milan, Italy; In Vivo Human Molecular and Structural Neuroimaging Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy; Nuclear Medicine Unit, San Raffaele Hospital, Milan, Italy.
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19
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Chen Y, Zeng Q, Wang Y, Luo X, Sun Y, Zhang L, Liu X, Li K, Zhang M, Peng G. Characterizing Differences in Functional Connectivity Between Posterior Cortical Atrophy and Semantic Dementia by Seed-Based Approach. Front Aging Neurosci 2022; 14:850977. [PMID: 35572133 PMCID: PMC9099291 DOI: 10.3389/fnagi.2022.850977] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2022] [Accepted: 03/31/2022] [Indexed: 11/21/2022] Open
Abstract
Background Posterior cortical atrophy (PCA) and semantic dementia (SD) are focal syndromes involving different cerebral regions. This study aimed to demonstrate the existence of abnormal functional connectivity (FC) with an affected network in PCA and SD. Methods A total of 10 patients with PCA, 12 patients with SD, and 11 controls were recruited to undergo a detailed clinical history interview and physical examination, neuropsychological assessments, and PET/MRI scan. Seed-based FC analyses were conducted to construct FC in language network, visual network, and salience network. The two-sample t-test was performed to reveal distinct FC patterns in PCA and SD, and we further related the FC difference to cognition. Meanwhile, the uptake value of fluorodeoxyglucose in regions with FC alteration was also extracted for comparison. Results We found a global cognitive impairment in patients with PCA and SD. The results of FC analyses showed that patients with PCA present decreased FC in left precentral gyrus to left V1 and increased FC in right inferior frontal gyrus to right V1 in the visual network, right medial frontal gyrus and left fusiform to left anterior temporal lobe and post-superior temporal gyrus in the language network, and left superior temporal gyrus to left anterior insula in the salience network, which were related to cognitive function. Patients with SD had decreased FC from right superior frontal gyrus, right middle frontal gyrus and right superior frontal gyrus to left anterior temporal lobe, or post-superior temporal gyrus in the language network, as well as left superior frontal gyrus to right anterior insula in the salience network, positively relating to cognitive function, but increased FC in the right superior temporal gyrus to left anterior temporal lobe in the language network, and right insula and left anterior cingulum to right anterior insula in the salience network, negatively relating to cognitive function. Most of the regions with FC change in patients with PCA and SD had abnormal metabolism simultaneously. Conclusion Abnormal connectivity spread over the cortex involving language and salience networks was common in patients with PCA and SD, whereas FC change involving the visual network was unique to patients with PCA. The FC changes were matched for cognitive deficits.
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Affiliation(s)
- Yi Chen
- Department of Neurology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
- Department of Neurology, The Affiliated Hospital of Hangzhou Normal University, Hangzhou, China
| | - Qingze Zeng
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Yunyun Wang
- Department of Neurology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
- Department of Neurology, Shengzhou People’s Hospital, Shengzhou, China
| | - Xiao Luo
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Yan Sun
- Department of Neurology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Lumi Zhang
- Department of Neurology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Xiaoyan Liu
- Department of Neurology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Kaicheng Li
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Minming Zhang
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Guoping Peng
- Department of Neurology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
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20
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Ma K, Huang S, Zhang D. Diagnosis of Mild Cognitive Impairment with Ordinal Pattern Kernel. IEEE Trans Neural Syst Rehabil Eng 2022; 30:1030-1040. [PMID: 35404822 DOI: 10.1109/tnsre.2022.3166560] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Abstract
Mild cognitive impairment (MCI) belongs to the prodromal stage of Alzheimer's disease (AD). Accurate diagnosis of MCI is very important for possibly deferring AD progression. Graph kernels, which measure the similarity between paired brain connectivity networks, have been widely used to diagnose brain diseases (e.g., MCI) and yielded promising classification performance. However, most of the existing graph kernels are based on unweighted graphs, and neglect the valuable weighted information of the edges in brain connectivity networks where edge weights convey the strengths of fiber connection or temporal correlation between paired brain regions. Accordingly, in this paper, we propose a new graph kernel called ordinal pattern kernel for measuring brain connectivity network similarity and apply it to brain disease classification tasks. Different from the existing graph kernels which measure the topological similarity of the unweighted graphs, our proposed ordinal pattern kernel can not only calculate the similarity of paired brain connectivity networks, but also capture the ordinal pattern relationship of edge weights in brain connectivity networks. To appraise the effectiveness of our proposed method, we perform extensive experiments in functional magnetic resonance imaging data of brain disease from Alzheimer's Disease Neuroimaging Initiative database. The experimental results show that our proposed ordinal pattern kernel outperforms the state-of-the-art graph kernels in the classification tasks of MCI.
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21
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Meier EL. The role of disrupted functional connectivity in aphasia. HANDBOOK OF CLINICAL NEUROLOGY 2022; 185:99-119. [PMID: 35078613 DOI: 10.1016/b978-0-12-823384-9.00005-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Language is one of the most complex and specialized higher cognitive processes. Brain damage to the distributed, primarily left-lateralized language network can result in aphasia, a neurologic disorder characterized by receptive and/or expressive deficits in spoken and/or written language. Most often, aphasia is the consequence of stroke-termed poststroke aphasia (PSA)-yet, aphasia can also manifest due to neurodegenerative disease, specifically, a disorder called primary progressive aphasia (PPA). In recent years, functional connectivity neuroimaging studies have provided emerging evidence supporting theories regarding the relationships between language impairments, structural brain damage, and functional network properties in these two disorders. This chapter reviews the current evidence for the "network phenotype of stroke injury" hypothesis (Siegel et al., 2016) as it pertains to PSA and the "network degeneration hypothesis" (Seeley et al., 2009) as it pertains to PPA. Methodologic considerations for functional connectivity studies, limitations of the current functional connectivity literature in aphasia, and future directions are also discussed.
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Affiliation(s)
- Erin L Meier
- Department of Communication Sciences and Disorders, Northeastern University, Boston, MA, United States.
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22
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Borghesani V, DeLeon J, Gorno-Tempini ML. Frontotemporal dementia: A unique window on the functional role of the temporal lobes. HANDBOOK OF CLINICAL NEUROLOGY 2022; 187:429-448. [PMID: 35964986 PMCID: PMC9793689 DOI: 10.1016/b978-0-12-823493-8.00011-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
Frontotemporal dementia (FTD) is an umbrella term covering a plethora of progressive changes in executive functions, motor abilities, behavior, and/or language. Different clinical syndromes have been described in relation to localized atrophy, informing on the functional networks that underlie these specific cognitive, emotional, and behavioral processes. These functional declines are linked with the underlying neurodegeneration of frontal and/or temporal lobes due to diverse molecular pathologies. Initially, the accumulation of misfolded proteins targets specifically susceptible cell assemblies, leading to relatively focal neurodegeneration that later spreads throughout large-scale cortical networks. Here, we discuss the most recent clinical, neuropathological, imaging, and genetics findings in FTD-spectrum syndromes affecting the temporal lobe. We focus on the semantic variant of primary progressive aphasia and its mirror image, the right temporal variant of FTD. Incipient focal atrophy of the left anterior temporal lobe (ATL) manifests with predominant naming, word comprehension, reading, and object semantic deficits, while cases of predominantly right ATL atrophy present with impairments of socioemotional, nonverbal semantic, and person-specific knowledge. Overall, the observations in FTD allow for crucial clinical-anatomic inferences, shedding light on the role of the temporal lobes in both cognition and complex behaviors. The concerted activity of both ATLs is critical to ensure that percepts are translated into concepts, yet important hemispheric differences should be acknowledged. On one hand, the left ATL attributes meaning to linguistic, external stimuli, thus supporting goal-oriented, action-related behaviors (e.g., integrating sounds and letters into words). On the other hand, the right ATL assigns meaning to emotional, visceral stimuli, thus guiding socially relevant behaviors (e.g., integrating body sensations into feelings of familiarity).
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Affiliation(s)
- Valentina Borghesani
- Centre de recherche de l'Institut universitaire de gériatrie de Montréal, Montréal, QC, Canada; Department of Psychology, Université de Montréal, Montréal, QC, Canada.
| | - Jessica DeLeon
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, CA, United States; Department of Neurology, Dyslexia Center, University of California, San Francisco, CA, United States
| | - Maria Luisa Gorno-Tempini
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, CA, United States; Department of Neurology, Dyslexia Center, University of California, San Francisco, CA, United States
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23
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Reinartz M, Gabel S, Schaeverbeke J, Meersmans K, Adamczuk K, Luckett ES, De Meyer S, Van Laere K, Sunaert S, Dupont P, Vandenberghe R. Changes in the language system as amyloid-β accumulates. Brain 2021; 144:3756-3768. [PMID: 34534284 PMCID: PMC8719839 DOI: 10.1093/brain/awab335] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2021] [Revised: 07/08/2021] [Accepted: 08/12/2021] [Indexed: 11/17/2022] Open
Abstract
Language dysfunction is common in Alzheimer's disease. There is increasing interest in the preclinical or asymptomatic phase of Alzheimer's disease. Here we examined in 35 cognitively intact older adults (age range 52-78 years at baseline, 17 male) in a longitudinal study design the association between accumulation of amyloid over a 5-6-year period, measured using PET, and functional changes in the language network measured over the same time period using task-related functional MRI. In the same participants, we also determined the association between the longitudinal functional MRI changes and a cross-sectional measure of tau load as measured with 18F-AV1451 PET. As predicted, the principal change occurred in posterior temporal cortex. In the cortex surrounding the right superior temporal sulcus, the response amplitude during the associative-semantic versus visuo-perceptual task increased over time as amyloid load accumulated (Pcorrected = 0.008). In a whole-brain voxel-wise analysis, amyloid accumulation was also associated with a decrease in response amplitude in the left inferior frontal sulcus (Pcorrected = 0.009) and the right dorsomedial prefrontal cortex (Pcorrected = 0.005). In cognitively intact older adults, cross-sectional tau load was not associated with longitudinal changes in functional MRI response amplitude. Our findings confirm the central role of the neocortex surrounding the posterior superior temporal sulcus as the area of predilection within the language network in the earliest stages of Alzheimer's disease. Amyloid accumulation has an impact on cognitive brain circuitry in the asymptomatic phase of Alzheimer's disease.
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Affiliation(s)
- Mariska Reinartz
- Laboratory for Cognitive Neurology, Department of Neurosciences, Leuven Brain Institute, KU Leuven, 3000 Leuven, Belgium
| | - Silvy Gabel
- Laboratory for Cognitive Neurology, Department of Neurosciences, Leuven Brain Institute, KU Leuven, 3000 Leuven, Belgium
| | - Jolien Schaeverbeke
- Laboratory for Cognitive Neurology, Department of Neurosciences, Leuven Brain Institute, KU Leuven, 3000 Leuven, Belgium
| | - Karen Meersmans
- Laboratory for Cognitive Neurology, Department of Neurosciences, Leuven Brain Institute, KU Leuven, 3000 Leuven, Belgium
| | | | - Emma Susanne Luckett
- Laboratory for Cognitive Neurology, Department of Neurosciences, Leuven Brain Institute, KU Leuven, 3000 Leuven, Belgium
| | - Steffi De Meyer
- Laboratory for Cognitive Neurology, Department of Neurosciences, Leuven Brain Institute, KU Leuven, 3000 Leuven, Belgium
| | - Koen Van Laere
- Division of Nuclear Medicine, UZ Leuven, 3000 Leuven, Belgium
- Nuclear Medicine and Molecular Imaging, Department of Imaging and Pathology, KU Leuven, 3000 Leuven, Belgium
| | | | - Patrick Dupont
- Laboratory for Cognitive Neurology, Department of Neurosciences, Leuven Brain Institute, KU Leuven, 3000 Leuven, Belgium
| | - Rik Vandenberghe
- Laboratory for Cognitive Neurology, Department of Neurosciences, Leuven Brain Institute, KU Leuven, 3000 Leuven, Belgium
- Alzheimer Research Centre KU Leuven, Leuven Brain Institute, 3000 Leuven, Belgium
- Neurology Department, University Hospitals Leuven, 3000 Leuven, Belgium
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24
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Pini L, Wennberg AM, Salvalaggio A, Vallesi A, Pievani M, Corbetta M. Breakdown of specific functional brain networks in clinical variants of Alzheimer's disease. Ageing Res Rev 2021; 72:101482. [PMID: 34606986 DOI: 10.1016/j.arr.2021.101482] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2021] [Revised: 09/24/2021] [Accepted: 09/29/2021] [Indexed: 02/07/2023]
Abstract
Alzheimer's disease (AD) is characterized by different clinical entities. Although AD phenotypes share a common molecular substrate (i.e., amyloid beta and tau accumulation), several clinicopathological differences exist. Brain functional networks might provide a macro-scale scaffolding to explain this heterogeneity. In this review, we summarize the evidence linking different large-scale functional network abnormalities to distinct AD phenotypes. Specifically, executive deficits in early-onset AD link with the dysfunction of networks that support sustained attention and executive functions. Posterior cortical atrophy relates to the breakdown of visual and dorsal attentional circuits, while the primary progressive aphasia variant of AD may be associated with the dysfunction of the left-lateralized language network. Additionally, network abnormalities might provide in vivo signatures for distinguishing proteinopathies that mimic AD, such as TAR DNA binding protein 43 related pathologies. These network differences vis-a-vis clinical syndromes are more evident in the earliest stage of AD. Finally, we discuss how these findings might pave the way for new tailored interventions targeting the most vulnerable brain circuit at the optimal time window to maximize clinical benefits.
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25
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Pytel V, Cabrera-Martín MN, Delgado-Álvarez A, Ayala JL, Balugo P, Delgado-Alonso C, Yus M, Carreras MT, Carreras JL, Matías-Guiu J, Matías-Guiu JA. Personalized Repetitive Transcranial Magnetic Stimulation for Primary Progressive Aphasia. J Alzheimers Dis 2021; 84:151-167. [PMID: 34487043 DOI: 10.3233/jad-210566] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND Primary progressive aphasia (PPA) is a neurodegenerative syndrome for which no effective treatment is available. OBJECTIVE We aimed to assess the effect of repetitive transcranial magnetic stimulation (rTMS), using personalized targeting. METHODS We conducted a randomized, double-blind, pilot study of patients with PPA receiving rTMS, with a subgroup of patients receiving active- versus control-site rTMS in a cross-over design. Target for active TMS varied among the cases and was determined during a pre-treatment phase from a list of potential regions. The primary outcome was changes in spontaneous speech (word count). Secondary outcomes included changes in other language tasks, global cognition, global impression of change, neuropsychiatric symptoms, and brain metabolism using FDG-PET. RESULTS Twenty patients with PPA were enrolled (14 with nonfluent and 6 with semantic variant PPA). For statistical analyses, data for the two variants were combined. Compared to the control group (n = 7), the group receiving active-site rTMS (n = 20) showed improvements in spontaneous speech, other language tasks, patient and caregiver global impression of change, apathy, and depression. This group also showed improvement or stabilization of results obtained in the baseline examination. Increased metabolism was observed in several brain regions after the therapy, particularly in the left frontal and parieto-temporal lobes and in the precuneus and posterior cingulate bilaterally. CONCLUSION We found an improvement in language, patient and caregiver perception of change, apathy, and depression using high frequency rTMS. The increase of regional brain metabolism suggests enhancement of synaptic activity with the treatment. TRIAL REGISTRATION NCT03580954 (https://clinicaltrials.gov/ct2/show/NCT03580954).
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Affiliation(s)
- Vanesa Pytel
- Department of Neurology, Hospital Clínico SanCarlos, San Carlos Health Research Institute (IdISSC), UniversidadComplutense de Madrid, Madrid, Spain
| | - María Nieves Cabrera-Martín
- Departmentof Nuclear Medicine, Hospital Clínico San Carlos, San CarlosHealth Research Institute (IdISSC), Universidad Complutense deMadrid, Madrid, Spain
| | - Alfonso Delgado-Álvarez
- Department of Neurology, Hospital Clínico SanCarlos, San Carlos Health Research Institute (IdISSC), UniversidadComplutense de Madrid, Madrid, Spain
| | - José Luis Ayala
- Department of ComputerArchitecture and Automation, Universidad Complutense de Madrid, Madrid, Spain
| | - Paloma Balugo
- Department of ClinicalNeurophysiology, Hospital Clínico San Carlos, San Carlos HealthResearch Institute (IdISSC), Universidad Complutense de Madrid, Madrid, Spain
| | - Cristina Delgado-Alonso
- Department of Neurology, Hospital Clínico SanCarlos, San Carlos Health Research Institute (IdISSC), UniversidadComplutense de Madrid, Madrid, Spain
| | - Miguel Yus
- Department of Radiology, HospitalClínico San Carlos, San Carlos Health Research Institute(IdISSC), Universidad Complutense de Madrid, Madrid, Spain
| | - María Teresa Carreras
- Department of Neurology, Hospital Universitario LaPrincesa, La Princesa Health Research Institute, Madrid, Spain
| | - José Luis Carreras
- Departmentof Nuclear Medicine, Hospital Clínico San Carlos, San CarlosHealth Research Institute (IdISSC), Universidad Complutense deMadrid, Madrid, Spain
| | - Jorge Matías-Guiu
- Department of Neurology, Hospital Clínico SanCarlos, San Carlos Health Research Institute (IdISSC), UniversidadComplutense de Madrid, Madrid, Spain
| | - Jordi A Matías-Guiu
- Department of Neurology, Hospital Clínico SanCarlos, San Carlos Health Research Institute (IdISSC), UniversidadComplutense de Madrid, Madrid, Spain
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26
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Banjac S, Roger E, Cousin E, Perrone-Bertolotti M, Haldin C, Pichat C, Lamalle L, Minotti L, Kahane P, Baciu M. Interactive mapping of language and memory with the GE2REC protocol. Brain Imaging Behav 2021; 15:1562-1579. [PMID: 32761343 PMCID: PMC8286228 DOI: 10.1007/s11682-020-00355-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
Previous studies have highlighted the importance of considering cognitive functions from a dynamic and interactive perspective and multiple evidence was brought for a language and memory interaction. In this study performed with healthy participants, we present a new protocol entitled GE2REC that interactively accesses the neural representation of language-and-memory network. This protocol consists of three runs related to each other, providing a link between tasks, in order to assure an interactive measure of linguistic and episodic memory processes. GE2REC consists of a sentence generation (GE) in the auditory modality and two recollecting (2REC) memory tasks, one recognition performed in the visual modality, and another one recall performed in the auditory modality. Its efficiency was evaluated in 20 healthy volunteers using a 3T MR imager. Our results corroborate the ability of GE2REC to robustly activate fronto-temporo-parietal language network as well as temporal mesial, prefrontal and parietal cortices in encoding during sentence generation and recognition. GE2REC is useful because it: (a) requires simultaneous and interactive language-and-memory processes and jointly maps their neural basis; (b) explores encoding and retrieval, managing to elicit activation of mesial temporal structures; (c) is easy to perform, hence being suitable for more restrictive settings, and (d) has an ecological dimension of tasks and stimuli. GE2REC may be useful for studying neuroplasticity of cognitive functions, especially in patients with temporal lobe epilepsy who show reorganization of both language and memory networks. Overall, GE2REC can provide valuable information in terms of the practical foundation of exploration language and memory interconnection.
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Affiliation(s)
- Sonja Banjac
- Univ. Grenoble Alpes, CNRS LPNC UMR 5105, F-38000, Grenoble, France
| | - Elise Roger
- Univ. Grenoble Alpes, CNRS LPNC UMR 5105, F-38000, Grenoble, France
| | - Emilie Cousin
- Univ. Grenoble Alpes, CNRS LPNC UMR 5105, F-38000, Grenoble, France.,Univ. Grenoble Alpes, UMS IRMaGe CHU Grenoble, F-38000, Grenoble, France
| | | | - Célise Haldin
- Univ. Grenoble Alpes, CNRS LPNC UMR 5105, F-38000, Grenoble, France
| | - Cédric Pichat
- Univ. Grenoble Alpes, CNRS LPNC UMR 5105, F-38000, Grenoble, France
| | - Laurent Lamalle
- Univ. Grenoble Alpes, UMS IRMaGe CHU Grenoble, F-38000, Grenoble, France
| | - Lorella Minotti
- Univ. Grenoble Alpes, GIN, Synchronisation et modulation des Réseaux Neuronaux dans l'Epilepsie' and Neurology Department, F-38000, Grenoble, France
| | - Philippe Kahane
- Univ. Grenoble Alpes, GIN, Synchronisation et modulation des Réseaux Neuronaux dans l'Epilepsie' and Neurology Department, F-38000, Grenoble, France
| | - Monica Baciu
- Univ. Grenoble Alpes, CNRS LPNC UMR 5105, F-38000, Grenoble, France.
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27
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Borghesani V, Dale CL, Lukic S, Hinkley LBN, Lauricella M, Shwe W, Mizuiri D, Honma S, Miller Z, Miller B, Houde JF, Gorno-Tempini ML, Nagarajan SS. Neural dynamics of semantic categorization in semantic variant of primary progressive aphasia. eLife 2021; 10:e63905. [PMID: 34155973 PMCID: PMC8241439 DOI: 10.7554/elife.63905] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2020] [Accepted: 06/21/2021] [Indexed: 12/28/2022] Open
Abstract
Semantic representations are processed along a posterior-to-anterior gradient reflecting a shift from perceptual (e.g., it has eight legs) to conceptual (e.g., venomous spiders are rare) information. One critical region is the anterior temporal lobe (ATL): patients with semantic variant primary progressive aphasia (svPPA), a clinical syndrome associated with ATL neurodegeneration, manifest a deep loss of semantic knowledge. We test the hypothesis that svPPA patients perform semantic tasks by over-recruiting areas implicated in perceptual processing. We compared MEG recordings of svPPA patients and healthy controls during a categorization task. While behavioral performance did not differ, svPPA patients showed indications of greater activation over bilateral occipital cortices and superior temporal gyrus, and inconsistent engagement of frontal regions. These findings suggest a pervasive reorganization of brain networks in response to ATL neurodegeneration: the loss of this critical hub leads to a dysregulated (semantic) control system, and defective semantic representations are seemingly compensated via enhanced perceptual processing.
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Affiliation(s)
- V Borghesani
- Memory and Aging Center, Department of Neurology, University of California, San FranciscoSan FranciscoUnited States
| | - CL Dale
- Department of Radiology and Biomedical Imaging, University of California, San FranciscoSan FranciscoUnited States
| | - S Lukic
- Memory and Aging Center, Department of Neurology, University of California, San FranciscoSan FranciscoUnited States
| | - LBN Hinkley
- Department of Radiology and Biomedical Imaging, University of California, San FranciscoSan FranciscoUnited States
| | - M Lauricella
- Memory and Aging Center, Department of Neurology, University of California, San FranciscoSan FranciscoUnited States
| | - W Shwe
- Memory and Aging Center, Department of Neurology, University of California, San FranciscoSan FranciscoUnited States
| | - D Mizuiri
- Department of Radiology and Biomedical Imaging, University of California, San FranciscoSan FranciscoUnited States
| | - S Honma
- Department of Radiology and Biomedical Imaging, University of California, San FranciscoSan FranciscoUnited States
| | - Z Miller
- Memory and Aging Center, Department of Neurology, University of California, San FranciscoSan FranciscoUnited States
| | - B Miller
- Memory and Aging Center, Department of Neurology, University of California, San FranciscoSan FranciscoUnited States
| | - JF Houde
- Department of Otolaryngology, University of California, San FranciscoSan FranciscoUnited States
| | - ML Gorno-Tempini
- Memory and Aging Center, Department of Neurology, University of California, San FranciscoSan FranciscoUnited States
- Department of Neurology, Dyslexia Center University of California, San FranciscoSan FranciscoUnited States
| | - SS Nagarajan
- Department of Radiology and Biomedical Imaging, University of California, San FranciscoSan FranciscoUnited States
- Department of Otolaryngology, University of California, San FranciscoSan FranciscoUnited States
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Pistono A, Senoussi M, Guerrier L, Rafiq M, Giméno M, Péran P, Jucla M, Pariente J. Language Network Connectivity Increases in Early Alzheimer's Disease. J Alzheimers Dis 2021; 82:447-460. [PMID: 34024825 PMCID: PMC8293644 DOI: 10.3233/jad-201584] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/05/2022]
Abstract
Background: Language production deficits occur early in the course of Alzheimer’s disease (AD); however, only a few studies have focused on language network’s functional connectivity in mild cognitive impairment (MCI) due to AD. Objective: The current study aims to uncover the extent of language alteration at the MCI stage, at a behavioral and neural level, using univariate and multivariate analyses of structural MRI and resting-state fMRI. Methods: Twenty-four MCI due to AD participants and 24 matched healthy controls underwent a comprehensive language evaluation, a structural T1-3D MRI, and resting-state fMRI. We performed seed-based analyses, using the left inferior frontal gyrus and left posterior temporal gyrus as seeds. Then, we analyzed connectivity between executive control networks and language network in each group. Finally, we used multivariate pattern analyses to test whether the two groups could be distinguished based on the pattern of atrophy within the language network; within the executive control networks, as well as the pattern of functional connectivity within the language network and within the executive control networks. Results: MCI due to AD participants had language impairment during standardized language tasks and connected-speech production. Regarding functional connectivity, univariate analyses were not able to discriminate participants, while multivariate pattern analyses could significantly predict participants’ group. Language network’s functional connectivity could discriminate MCI due to AD participants better than executive control networks. Most notably, they revealed an increased connectivity at the MCI stage, positively correlated with language performance. Conclusion: Multivariate analyses represent a useful tool for investigating the functional and structural (re-)organization of the neural bases of language.
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Affiliation(s)
- Aurélie Pistono
- Octogone-Lordat Interdisciplinary Research Unit (EA 4156), University of Toulouse II-Jean Jaurès, Toulouse, France.,Department of Experimental Psychology, Ghent University, Ghent, Belgium
| | - Mehdi Senoussi
- Department of Experimental Psychology, Ghent University, Ghent, Belgium
| | - Laura Guerrier
- Toulouse NeuroImaging Center, Toulouse University, Inserm, UPS, France
| | - Marie Rafiq
- Department of Neurology, Neuroscience Centre, Toulouse University Hospital, Toulouse, France
| | - Mélanie Giméno
- Octogone-Lordat Interdisciplinary Research Unit (EA 4156), University of Toulouse II-Jean Jaurès, Toulouse, France
| | - Patrice Péran
- Toulouse NeuroImaging Center, Toulouse University, Inserm, UPS, France
| | - Mélanie Jucla
- Octogone-Lordat Interdisciplinary Research Unit (EA 4156), University of Toulouse II-Jean Jaurès, Toulouse, France
| | - Jérémie Pariente
- Toulouse NeuroImaging Center, Toulouse University, Inserm, UPS, France.,Department of Neurology, Neuroscience Centre, Toulouse University Hospital, Toulouse, France
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29
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Dev SI, Dickerson BC, Touroutoglou A. Neuroimaging in Frontotemporal Lobar Degeneration: Research and Clinical Utility. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2021; 1281:93-112. [PMID: 33433871 PMCID: PMC8787866 DOI: 10.1007/978-3-030-51140-1_7] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/04/2023]
Abstract
Frontotemporal lobar dementia (FTLD) is a clinically and pathologically complex disease. Advances in neuroimaging techniques have provided a specialized set of tools to investigate underlying pathophysiology and identify clinical biomarkers that aid in diagnosis, prognostication, monitoring, and identification of appropriate endpoints in clinical trials. In this chapter, we review data discussing the utility of neuroimaging biomarkers in sporadic FTLD, with an emphasis on current and future clinical applications. Among those modalities readily utilized in clinical settings, T1-weighted structural magnetic resonance imaging (MRI) and 18F-fluorodeoxyglucose positron emission tomography (FDG-PET) are best supported in differential diagnosis and as targets for clinical trial endpoints. However, a number of nonclinical neuroimaging modalities, including diffusion tensor imaging and resting-state functional connectivity MRI, show promise as biomarkers to predict progression and as clinical trial endpoints. Other neuroimaging modalities, including amyloid PET, Tau PET, and arterial spin labeling MRI, are also discussed, though more work is required to establish their utility in FTLD in clinical settings.
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Affiliation(s)
- Sheena I Dev
- Department of Psychiatry, Massachusetts General Hospital/Harvard Medical School, Charlestown, MA, USA
| | - Bradford C Dickerson
- Department of Neurology, Massachusetts General Hospital/Harvard Medical School, Charlestown, MA, USA.
| | - Alexandra Touroutoglou
- Department of Neurology, Massachusetts General Hospital/Harvard Medical School, Charlestown, MA, USA
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Abstract
BACKGROUND Semantic dementia (SD) is characterized by progressive semantic anomia extending to a multimodal loss of semantic knowledge. Although often considered an early-onset dementia, SD also occurs in later life, when it may be misdiagnosed as Alzheimer disease (AD). OBJECTIVE To evaluate late-onset SD in comparison to early-onset SD and to AD. METHODS We identified 74 individuals with SD and then compared those with late-onset SD (≥65 years of age) to those with early-onset SD (<65) on demographic and clinical features. We also compared a subgroup of 23 of the late-onset SD individuals with an equal number of individuals with clinically probable AD. RESULTS Twenty-six (35.1%) of the SD individuals were late onset, and 48 (64.9%) were early onset. There were no differences between the two groups on clinical measures, although greater asymmetry of temporal involvement trended to significance in the late-onset SD group. Compared to the 23 AD individuals, the subgroup of 23 late-onset SD individuals had worse performance on confrontational naming, irregular word reading, and face recognition; however, this subgroup displayed better verbal delayed recall and constructions. The late-onset SD individuals also experienced early personality changes at a time when most individuals with AD had not yet developed behavioral changes. CONCLUSIONS Approximately one-third of SD individuals may be late onset, and the differentiation of late-onset SD from AD can lead to better disease management, education, and prognosis. SD may be distinguished by screening for disproportionate changes in reading, face recognition, and personality.
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Borghesani V, Hinkley LBN, Ranasinghe KG, Thompson MMC, Shwe W, Mizuiri D, Lauricella M, Europa E, Honma S, Miller Z, Miller B, Vossel K, Henry MML, Houde JF, Gorno-Tempini ML, Nagarajan SS. Taking the sublexical route: brain dynamics of reading in the semantic variant of primary progressive aphasia. Brain 2020; 143:2545-2560. [PMID: 32789455 PMCID: PMC7447517 DOI: 10.1093/brain/awaa212] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2019] [Revised: 05/05/2020] [Accepted: 05/21/2020] [Indexed: 01/29/2023] Open
Abstract
Reading aloud requires mapping an orthographic form to a phonological one. The mapping process relies on sublexical statistical regularities (e.g. 'oo' to |uː|) or on learned lexical associations between a specific visual form and a series of sounds (e.g. yacht to/jɑt/). Computational, neuroimaging, and neuropsychological evidence suggest that sublexical, phonological and lexico-semantic processes rely on partially distinct neural substrates: a dorsal (occipito-parietal) and a ventral (occipito-temporal) route, respectively. Here, we investigated the spatiotemporal features of orthography-to-phonology mapping, capitalizing on the time resolution of magnetoencephalography and the unique clinical model offered by patients with semantic variant of primary progressive aphasia (svPPA). Behaviourally, patients with svPPA manifest marked lexico-semantic impairments including difficulties in reading words with exceptional orthographic to phonological correspondence (irregular words). Moreover, they present with focal neurodegeneration in the anterior temporal lobe, affecting primarily the ventral, occipito-temporal, lexical route. Therefore, this clinical population allows for testing of specific hypotheses on the neural implementation of the dual-route model for reading, such as whether damage to one route can be compensated by over-reliance on the other. To this end, we reconstructed and analysed time-resolved whole-brain activity in 12 svPPA patients and 12 healthy age-matched control subjects while reading irregular words (e.g. yacht) and pseudowords (e.g. pook). Consistent with previous findings that the dorsal route is involved in sublexical, phonological processes, in control participants we observed enhanced neural activity over dorsal occipito-parietal cortices for pseudowords, when compared to irregular words. This activation was manifested in the beta-band (12-30 Hz), ramping up slowly over 500 ms after stimulus onset and peaking at ∼800 ms, around response selection and production. Consistent with our prediction, svPPA patients did not exhibit this temporal pattern of neural activity observed in controls this contrast. Furthermore, a direct comparison of neural activity between patients and controls revealed a dorsal spatiotemporal cluster during irregular word reading. These findings suggest that the sublexical/phonological route is involved in processing both irregular and pseudowords in svPPA. Together these results provide further evidence supporting a dual-route model for reading aloud mediated by the interplay between lexico-semantic and sublexical/phonological neurocognitive systems. When the ventral route is damaged, as in the case of neurodegeneration affecting the anterior temporal lobe, partial compensation appears to be possible by over-recruitment of the slower, serial attention-dependent, dorsal one.
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Affiliation(s)
- Valentina Borghesani
- Memory and Aging Center, Department of Neurology, University of California San Francisco, USA
| | - Leighton B N Hinkley
- Department of Radiology and Biomedical Imaging, University of California San Francisco, USA
| | - Kamalini G Ranasinghe
- Memory and Aging Center, Department of Neurology, University of California San Francisco, USA
| | - Megan M C Thompson
- Department of Radiology and Biomedical Imaging, University of California San Francisco, USA
- UC Berkeley-UC San Francisco Graduate Program in Bioengineering, University of California, San Francisco, USA
| | - Wendy Shwe
- Memory and Aging Center, Department of Neurology, University of California San Francisco, USA
| | - Danielle Mizuiri
- Department of Radiology and Biomedical Imaging, University of California San Francisco, USA
| | - Michael Lauricella
- Memory and Aging Center, Department of Neurology, University of California San Francisco, USA
| | - Eduardo Europa
- Memory and Aging Center, Department of Neurology, University of California San Francisco, USA
| | - Susanna Honma
- Department of Radiology and Biomedical Imaging, University of California San Francisco, USA
| | - Zachary Miller
- Memory and Aging Center, Department of Neurology, University of California San Francisco, USA
| | - Bruce Miller
- Memory and Aging Center, Department of Neurology, University of California San Francisco, USA
| | - Keith Vossel
- Department of Neurology, University of Minnesota, Minneapolis, USA
| | - Maya M L Henry
- Department of Communication Sciences and Disorders, University of Texas at Austin, USA
| | - John F Houde
- Department of Otolaryngology, University of California San Francisco, USA
| | - Maria L Gorno-Tempini
- Memory and Aging Center, Department of Neurology, University of California San Francisco, USA
- Department of Neurology, Dyslexia Center, University of California, San Francisco, CA, USA
| | - Srikantan S Nagarajan
- Department of Radiology and Biomedical Imaging, University of California San Francisco, USA
- Department of Otolaryngology, University of California San Francisco, USA
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Battistella G, Borghesani V, Henry M, Shwe W, Lauricella M, Miller Z, Deleon J, Miller BL, Dronkers N, Brambati SM, Seeley WW, Mandelli ML, Gorno-Tempini ML. Task-Free Functional Language Networks: Reproducibility and Clinical Application. J Neurosci 2020; 40:1311-1320. [PMID: 31852732 PMCID: PMC7002153 DOI: 10.1523/jneurosci.1485-19.2019] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2019] [Revised: 11/06/2019] [Accepted: 12/01/2019] [Indexed: 01/17/2023] Open
Abstract
Intrinsic connectivity networks (ICNs) identified through task-free fMRI (tf-fMRI) offer the opportunity to investigate human brain circuits involved in language processes without requiring participants to perform challenging cognitive tasks. In this study, we assessed the ability of tf-fMRI to isolate reproducible networks critical for specific language functions and often damaged in primary progressive aphasia (PPA). First, we performed whole-brain seed-based correlation analyses on tf-fMRI data to identify ICNs anchored in regions known for articulatory, phonological, and semantic processes in healthy male and female controls (HCs). We then evaluated the reproducibility of these ICNs in an independent cohort of HCs, and recapitulated their functional relevance with a post hoc meta-analysis on task-based fMRI. Last, we investigated whether atrophy in these ICNs could inform the differential diagnosis of nonfluent/agrammatic, semantic, and logopenic PPA variants. The identified ICNs included a dorsal articulatory-phonological network involving inferior frontal and supramarginal regions; a ventral semantic network involving anterior middle temporal and angular gyri; a speech perception network involving superior temporal and sensorimotor regions; and a network between posterior inferior temporal and intraparietal regions likely linking visual, phonological, and attentional processes for written language. These ICNs were highly reproducible across independent groups and revealed areas consistent with those emerging from task-based meta-analysis. By comparing ICNs' spatial distribution in HCs with patients' atrophy patterns, we identified ICNs associated with each PPA variant. Our findings demonstrate the potential use of tf-fMRI to investigate the functional status of language networks in patients for whom activation studies can be methodologically challenging.SIGNIFICANCE STATEMENT We showed that a single, short, task-free fMRI acquisition is able to identify four reproducible and relatively segregated intrinsic left-dominant networks associated with articulatory, phonological, semantic, and multimodal orthography-to-phonology processes, in HCs. We also showed that these intrinsic networks relate to syndrome-specific atrophy patterns in primary progressive aphasia. Collectively, our results support the application of task-free fMRI in future research to study functionality of language circuits in patients for whom tasked-based activation studies might be methodologically challenging.
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Affiliation(s)
- Giovanni Battistella
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, California 94158,
| | - Valentina Borghesani
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, California 94158
| | - Maya Henry
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, California 94158
- Department of Communication Sciences and Disorders, University of Texas, Austin, Texas 78712
| | - Wendy Shwe
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, California 94158
| | - Michael Lauricella
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, California 94158
| | - Zachary Miller
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, California 94158
| | - Jessica Deleon
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, California 94158
| | - Bruce L Miller
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, California 94158
| | - Nina Dronkers
- Department of Psychology, University of California, Berkeley, California 94720, and
| | - Simona M Brambati
- Département de Psychologie, Université de Montréal, Quebec H3T 1J4, Canada
| | - William W Seeley
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, California 94158
| | - Maria Luisa Mandelli
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, California 94158
| | - Maria Luisa Gorno-Tempini
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, California 94158
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Bonakdarpour B, Hurley RS, Wang AR, Fereira HR, Basu A, Chatrathi A, Guillaume K, Rogalski EJ, Mesulam MM. Perturbations of language network connectivity in primary progressive aphasia. Cortex 2019; 121:468-480. [PMID: 31530376 DOI: 10.1016/j.cortex.2019.08.010] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2019] [Revised: 05/21/2019] [Accepted: 08/08/2019] [Indexed: 12/17/2022]
Abstract
Aphasias are caused by disruption in structural integrity and interconnectivity within a large-scale distributed language network. We investigated the distribution and behavioral consequences of altered functional connectivity in three variants of primary progressive aphasia (PPA). The goal was to clarify relationships among atrophy, resting connectivity, and the resulting behavioral changes in 73 PPA and 33 control participants. Three core regions of the left perisylvian language network: the inferior frontal gyrus (IFG), middle temporal gyrus (MTG), and anterior temporal lobe (ATL) were evaluated in agrammatic (PPA-G), logopenic (PPA-L), and semantic (PPA-S) PPA variants. All PPA groups showed decreased connectivity between IFG and MTG. The PPA-S group also showed additional loss of connectivity strength between ATL and the other language regions. Decreased connectivity between the IFG and MTG nodes in PPA-G remained significant even when controlled for the effect of atrophy. In the PPA group as a whole, IFG-MTG connectivity strength correlated with repetition and grammar scores, whereas MTG-ATL connectivity correlated with picture naming and single-word comprehension. There was no significant change in the connectivity of homologous regions in the right hemisphere. These results show that language impairments in PPA are associated with perturbations of functional connectivity within behaviorally concordant components of the language network. Altered connectivity in PPA may reflect not only the irreversible loss of cortical components indexed by atrophy, but also the dysfunction of remaining neurons.
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Affiliation(s)
- Borna Bonakdarpour
- Mesulam Center for Cognitive Neurology & Alzheimer Disease, USA; Department of Neurology, USA; Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
| | - Robert S Hurley
- Mesulam Center for Cognitive Neurology & Alzheimer Disease, USA; Department of Neurology, USA; Northwestern University Feinberg School of Medicine, Chicago, IL, USA; Department of Psychology, Cleveland State University, Cleveland, OH, USA
| | - Allan R Wang
- Mesulam Center for Cognitive Neurology & Alzheimer Disease, USA; Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Hernando R Fereira
- Mesulam Center for Cognitive Neurology & Alzheimer Disease, USA; Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Anisha Basu
- Mesulam Center for Cognitive Neurology & Alzheimer Disease, USA; Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Arjuna Chatrathi
- Mesulam Center for Cognitive Neurology & Alzheimer Disease, USA; Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Kyla Guillaume
- Mesulam Center for Cognitive Neurology & Alzheimer Disease, USA; Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Emily J Rogalski
- Mesulam Center for Cognitive Neurology & Alzheimer Disease, USA; Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - M Marsel Mesulam
- Mesulam Center for Cognitive Neurology & Alzheimer Disease, USA; Department of Neurology, USA; Northwestern University Feinberg School of Medicine, Chicago, IL, USA
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Usenkо Y, Severynovska О, Kоfan І, Dregval І, Znanetska O. Power spectrum and coherence of electroencephalograms of young people with the use of mnemotechnics. REGULATORY MECHANISMS IN BIOSYSTEMS 2019. [DOI: 10.15421/021943] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022] Open
Abstract
The increase of external information and the need for processing of large information arrays has been leading to the search for mechanisms of thinking in mental activity, as well as new methods of data protection and reproduction. Power spectrum and coherence of electroencephalograms (EEG) during memorizing of foreign words has been analyzed in many ways: in the usual one with the help of mnemotechnics. The research was conducted during the ovarian phase of the cycle of 11 female students aged 18–20. Registration of EEG activity was carried out according to the international system of H. Jasper,"10–20". The process of recollection of associative information led to the decrease in the power spectrum of the EEG in the alpha range in the frontal and temporal loci of the left hemisphere and the prefrontal sections of both hemispheres, in the beta range it was probable only in T6 zone of beta2 range, in the delta range it was in the prefrontal, posterior lower-frontal and posttemporal loci of both hemispheres, in the central, parietal and occipital regions of the left hemisphere, as well as in the anteriofrontal zone of the right hemisphere, in the theta-range – in the prefrontal and posterior lower-frontal regions of both hemispheres and in the posttemporal and occipital loci of the left hemisphere. Synchronization in the delta range is the reflection of the processes of figural information processing and manipulation. With the increase of attention concentration, the synchronization was observed in the theta range in the anteriofrontal and F4–P4 zones. Interhemispheric functional and symmetrical bonds in the alpha and beta ranges indicate the involvement of the corpus callosum in the process of memorizing foreign words, which facilitates their faster, more correct and easier reproduction, especially with the use of associative images. The decrease of power spectrum in the delta and theta ranges showed that less effort was required to reproduce associative information than to mention unsupported images of foreign words. The effective use of the association method is realized by reduction of the power spectrum of the waves in the alpha range in the frontal and temporal loci of the left hemisphere and the prefrontal sections of both hemispheres, which indicates the activation of mental activity in these zones in the processes of maintaining and reproducing associative information.
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