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Pozzi FE, Aprea V, Giovannelli G, Lattuada F, Crivellaro C, Bertola F, Castelnovo V, Canu E, Filippi M, Appollonio I, Ferrarese C, Agosta F, Tremolizzo L. Clinical and neuroimaging characterization of the first frontotemporal dementia family carrying the MAPT p.K298E mutation. Neurogenetics 2024; 25:215-223. [PMID: 38592608 PMCID: PMC11249401 DOI: 10.1007/s10048-024-00756-w] [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: 02/15/2024] [Accepted: 04/01/2024] [Indexed: 04/10/2024]
Abstract
We present an in-depth clinical and neuroimaging analysis of a family carrying the MAPT K298E mutation associated with frontotemporal dementia (FTD). Initial identification of this mutation in a single clinical case led to a comprehensive investigation involving four affected siblings allowing to elucidate the mutation's phenotypic expression.A 60-year-old male presented with significant behavioral changes and progressed rapidly, exhibiting speech difficulties and cognitive decline. Neuroimaging via FDG-PET revealed asymmetrical frontotemporal hypometabolism. Three siblings subsequently showed varied but consistent clinical manifestations, including abnormal behavior, speech impairments, memory deficits, and motor symptoms correlating with asymmetric frontotemporal atrophy observed in MRI scans.Based on the genotype-phenotype correlation, we propose that the p.K298E mutation results in early-onset behavioral variant FTD, accompanied by a various constellation of speech and motor impairment.This detailed characterization expands the understanding of the p.K298E mutation's clinical and neuroimaging features, underlining its role in the pathogenesis of FTD. Further research is crucial to comprehensively delineate the clinical and epidemiological implications of the MAPT p.K298E mutation.
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Affiliation(s)
- Federico Emanuele Pozzi
- Neurology Department, Fondazione IRCCS San Gerardo Dei Tintori, Monza, Italy.
- Milan Center for Neuroscience (NeuroMI), University of Milano-Bicocca, Milan, Italy.
- School of Medicine and Surgery, University of Milano-Bicocca, Milan, Italy.
| | - Vittoria Aprea
- School of Medicine and Surgery, University of Milano-Bicocca, Milan, Italy
| | | | - Francesca Lattuada
- School of Medicine and Surgery, University of Milano-Bicocca, Milan, Italy
- Nuclear Medicine Department, Fondazione IRCCS San Gerardo Dei Tintori, Monza, Italy
| | - Cinzia Crivellaro
- School of Medicine and Surgery, University of Milano-Bicocca, Milan, Italy
- Nuclear Medicine Department, Fondazione IRCCS San Gerardo Dei Tintori, Monza, Italy
| | - Francesca Bertola
- Medical Genetics, Fondazione IRCCS San Gerardo Dei Tintori, Monza, Italy
| | - Veronica Castelnovo
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Elisa Canu
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Massimo Filippi
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Vita-Salute San Raffaele University, Milan, Italy
- Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Ildebrando Appollonio
- Neurology Department, Fondazione IRCCS San Gerardo Dei Tintori, Monza, Italy
- Milan Center for Neuroscience (NeuroMI), University of Milano-Bicocca, Milan, Italy
- School of Medicine and Surgery, University of Milano-Bicocca, Milan, Italy
| | - Carlo Ferrarese
- Neurology Department, Fondazione IRCCS San Gerardo Dei Tintori, Monza, Italy
- Milan Center for Neuroscience (NeuroMI), University of Milano-Bicocca, Milan, Italy
- School of Medicine and Surgery, University of Milano-Bicocca, Milan, Italy
| | - Federica Agosta
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Vita-Salute San Raffaele University, Milan, Italy
- Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Lucio Tremolizzo
- Neurology Department, Fondazione IRCCS San Gerardo Dei Tintori, Monza, Italy
- Milan Center for Neuroscience (NeuroMI), University of Milano-Bicocca, Milan, Italy
- School of Medicine and Surgery, University of Milano-Bicocca, Milan, Italy
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Jackson MG, Lightman SL, Robinson ESJ. Characterisation of behaviours relevant to apathy syndrome in the aged male rat. Behav Brain Res 2024; 466:114977. [PMID: 38570074 DOI: 10.1016/j.bbr.2024.114977] [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: 02/07/2024] [Revised: 03/22/2024] [Accepted: 03/29/2024] [Indexed: 04/05/2024]
Abstract
Apathy is a complex psychiatric syndrome characterised by motivational deficit, emotional blunting and cognitive changes. It occurs alongside a broad range of neurological disorders, but also occurs in otherwise healthy ageing. Despite its clinical prevalence, apathy does not yet have a designated treatment strategy. Generation of a translational animal model of apathy syndrome would facilitate the development of novel treatments. Given the multidimensional nature of apathy, a model cannot be achieved with a single behavioural test. Using a battery of behavioural tests we investigated whether aged rats exhibit behavioural deficits across different domains relevant to apathy. Using the effort for reward and progressive ratio tasks we found that aged male rats (21-27 months) show intact reward motivation. Using the novelty supressed feeding test and position-based object exploration we found aged rats showed increased anxiety-like behaviour inconsistent with emotional blunting. The sucrose preference test and reward learning assay showed intact reward sensitivity and reward-related cognition in aged rats. However, using a bowl-digging version of the probabilistic reversal learning task, we found a deficit in cognitive flexibility in aged rats that did not translate across to a touchscreen version of the task. While these data reveal important changes in cognitive flexibility and anxiety associated with ageing, aged rats do not show deficits across other behavioural domains relevant to apathy. This suggests that aged rats are not a suitable model for age-related apathy syndrome. These findings contrast with previous work in mice, revealing important species differences in behaviours relevant to apathy syndrome in ageing.
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Affiliation(s)
- Megan G Jackson
- School of Physiology, Pharmacology and Neuroscience, University of Bristol, Bristol, UK.
| | - Stafford L Lightman
- Bristol Medical School: Translational Health Sciences, University of Bristol, Bristol, UK
| | - Emma S J Robinson
- School of Physiology, Pharmacology and Neuroscience, University of Bristol, Bristol, UK
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Parrotta I, Cacciatore S, D'Andrea F, D'Anna M, Giancaterino G, Lazzaro G, Arcara G, Manzo N. Prevalence, treatment, and neural correlates of apathy in different forms of dementia: a narrative review. Neurol Sci 2024; 45:1343-1376. [PMID: 38015288 PMCID: PMC10942903 DOI: 10.1007/s10072-023-07197-7] [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: 09/08/2023] [Accepted: 11/07/2023] [Indexed: 11/29/2023]
Abstract
OBJECTIVES The aim of this review is to provide an overview on prevalence and clinical tools for the diagnosis of apathy, as well as on neurophysiological and neuroimaging findings obtained from studies in patients with apathy in different forms of dementia, including Alzheimer's disease (AD), vascular (VaD) and mixed dementia, frontotemporal dementia (FTD), and Parkinson's disease dementia (PDD). METHODS Randomized controlled trials, non-randomized controlled trials, controlled before-after studies, and interrupted time series from four databases (WebOfScience, Scopus, Pubmed, and PsycINFO) addressing apathy in adults or older people aged over 65 years of age affected by dementia were included. RESULTS The prevalence of apathy was 26-82% for AD, 28.6-91.7 for VaD, 29-97.5% in PDD, and 54.8-88.0 in FTD. The assessment of apathy was not consistent in the reviewed studies. Methylphenidate was the most successful pharmacological treatment for apathy. Neurobiological studies highlighted the relationship between both structural and functional brain areas and the presence or severity of apathy. CONCLUSION Apathy is a very common disorder in all types of dementia, although it is often underdiagnosed and undertreated. Further studies are needed to investigate its diagnosis and management. A consensus on the different evaluation scales should be achieved.
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Affiliation(s)
- Ilaria Parrotta
- Movement Control and Neuroplasticity Research Group, Tervuursevest 101, 3001, Louvain, Belgium
- IRCCS San Camillo Hospital, Via Alberoni 70, 30126, Venice, Italy
- Young Epidemiologists of the Italian Society of Gerontology and Geriatrics (SIGG) (YES) Working Group, Italian Society of Gerontology and Geriatrics, Via Giulio Cesare Vanini 5, 50129, Florence, Italy
| | - Stefano Cacciatore
- Young Epidemiologists of the Italian Society of Gerontology and Geriatrics (SIGG) (YES) Working Group, Italian Society of Gerontology and Geriatrics, Via Giulio Cesare Vanini 5, 50129, Florence, Italy.
- Department of Geriatrics, Orthopedics and Rheumatology, Università Cattolica del Sacro Cuore, L.go Francesco Vito 1, 00168, Rome, Italy.
| | - Flavio D'Andrea
- Department of Human Neuroscience, Sapienza University, Piazzale Aldo Moro 5, 00185, Rome, Italy
| | - Marianna D'Anna
- Department of Human Neuroscience, Sapienza University, Piazzale Aldo Moro 5, 00185, Rome, Italy
| | - Giulia Giancaterino
- Department of Human Neuroscience, Sapienza University, Piazzale Aldo Moro 5, 00185, Rome, Italy
| | - Giovanni Lazzaro
- IRCCS San Camillo Hospital, Via Alberoni 70, 30126, Venice, Italy
| | - Giorgio Arcara
- IRCCS San Camillo Hospital, Via Alberoni 70, 30126, Venice, Italy
| | - Nicoletta Manzo
- IRCCS San Camillo Hospital, Via Alberoni 70, 30126, Venice, Italy
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Cayir S, Volpi T, Toyonaga T, Gallezot JD, Yanghong Y, Sadabad FE, Mulnix T, Mecca AP, Fesharaki-Zadeh A, Matuskey D. Relationship between Neuroimaging and Cognition in Frontotemporal Dementia: A [18 F]FDG PET and Structural MRI Study. RESEARCH SQUARE 2024:rs.3.rs-3846125. [PMID: 38313264 PMCID: PMC10836106 DOI: 10.21203/rs.3.rs-3846125/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/06/2024]
Abstract
Background Frontotemporal dementia (FTD) is a clinically and pathologically heterogeneous condition with a prevalence comparable to Alzheimer's Disease for patients under sixty-five years of age. Gray matter (GM) atrophy and glucose hypometabolism are important biomarkers for the diagnosis and evaluation of disease progression in FTD. However, limited studies have systematically examined the association between cognition and neuroimaging in FTD using different imaging modalities in the same patient group. Methods We examined the association of cognition using Montreal Cognitive Assessment (MoCA) with both GM volume and glucose metabolism using structural magnetic resonance imaging (MRI) and 18F-fluorodeoxyglucose positron emission tomography scanning ([18F]FDG PET) in 21 patients diagnosed with FTD. Standardized uptake value ratio (SUVR) using the brainstem as a reference region was the primary outcome measure for [18F]FDG PET. Partial volume correction was applied to PET data to account for disease-related atrophy. Results Significant positive associations were found between whole-cortex GM volume and MoCA scores (r = 0.461, p = 0.035). The association between whole-cortex [18F]FDG SUVR and MoCA scores was not Significant (r = 0.374, p = 0.094). GM volumes of the frontal cortex (r = 0.540, p = 0.011), caudate (r = 0.616, p = 0.002), and insula (r = 0.568, p = 0.007) were also Significantly correlated with MoCA, as were SUVR values of the insula (r = 0.508, p = 0.018), thalamus (r = 0.478, p = 0.028), and posterior cingulate cortex (PCC) (r = 0.472, p = 0.030). Discussion Whole-cortex atrophy is associated with cognitive dysfunction, and this effect is larger than for cortical hypometabolism as measured with [18F]FDG PET. At the regional level, focal atrophy and/or hypometabolism in the frontal lobe, insula, PCC, thalamus, and caudate seem to imply the importance of these regions for the decline of cognitive function in FTD. Furthermore, these results highlight how functional and structural changes may not overlap and might contribute to cognitive dysfunction in FTD in different ways. Our findings provide insight into the relationships between structural, metabolic, and cognitive changes due to FTD.
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Benussi A, Premi E, Grassi M, Alberici A, Cantoni V, Gazzina S, Archetti S, Gasparotti R, Fumagalli GG, Bouzigues A, Russell LL, Samra K, Cash DM, Bocchetta M, Todd EG, Convery RS, Swift I, Sogorb-Esteve A, Heller C, van Swieten JC, Jiskoot LC, Seelaar H, Sanchez-Valle R, Moreno F, Laforce RJ, Graff C, Synofzik M, Galimberti D, Rowe JB, Masellis M, Tartaglia MC, Finger E, Vandenberghe R, Mendonça A, Tiraboschi P, Butler CR, Santana I, Gerhard A, Le Ber I, Pasquier F, Ducharme S, Levin J, Sorbi S, Otto M, Padovani A, Rohrer JD, Borroni B. Diagnostic accuracy of research criteria for prodromal frontotemporal dementia. Alzheimers Res Ther 2024; 16:10. [PMID: 38216961 PMCID: PMC10785469 DOI: 10.1186/s13195-024-01383-1] [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: 04/13/2023] [Accepted: 01/02/2024] [Indexed: 01/14/2024]
Abstract
BACKGROUND The Genetic Frontotemporal Initiative Staging Group has proposed clinical criteria for the diagnosis of prodromal frontotemporal dementia (FTD), termed mild cognitive and/or behavioral and/or motor impairment (MCBMI). The objective of the study was to validate the proposed research criteria for MCBMI-FTD in a cohort of genetically confirmed FTD cases against healthy controls. METHODS A total of 398 participants were enrolled, 117 of whom were carriers of an FTD pathogenic variant with mild clinical symptoms, while 281 were non-carrier family members (healthy controls (HC)). A subgroup of patients underwent blood neurofilament light (NfL) levels and anterior cingulate atrophy assessment. RESULTS The core clinical criteria correctly classified MCBMI vs HC with an AUC of 0.79 (p < 0.001), while the addition of either blood NfL or anterior cingulate atrophy significantly increased the AUC to 0.84 and 0.82, respectively (p < 0.001). The addition of both markers further increased the AUC to 0.90 (p < 0.001). CONCLUSIONS The proposed MCBMI criteria showed very good classification accuracy for identifying the prodromal stage of FTD.
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Affiliation(s)
- Alberto Benussi
- Neurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, P.le Spedali Civili 1, 25123, Brescia, Italy
- Neurology Unit, Department of Neurological and Vision Sciences, ASST Spedali Civili di Brescia, 25123, Brescia, Italy
| | - Enrico Premi
- Vascular Neurology Unit, Department of Neurological and Vision Sciences, ASST Spedali Civili di Brescia, 25123, Brescia, Italy
| | - Mario Grassi
- Department of Brain and Behavioral Science, Medical and Genomic Statistics Unit, University of Pavia, 27100, Pavia, Italy
| | - Antonella Alberici
- Neurology Unit, Department of Neurological and Vision Sciences, ASST Spedali Civili di Brescia, 25123, Brescia, Italy
| | - Valentina Cantoni
- Department of Molecular and Translational Medicine, University of Brescia, 25123, Brescia, Italy
| | - Stefano Gazzina
- Department of Neurological and Vision Sciences, Neurophysiology Unit, ASST Spedali Civili di Brescia, 25123, Brescia, Italy
| | - Silvana Archetti
- Biotechnology Laboratory, Department of Diagnostics, ASST Spedali Civili di Brescia, 25123, Brescia, Italy
| | - Roberto Gasparotti
- Department of Medical and Surgical Specialties, Neuroradiology Unit, University of Brescia, 25123, Brescia, Italy
| | - Giorgio G Fumagalli
- Center for Mind/Brain Sciences-CIMeC, University of Trento, 38068, Rovereto, Italy
| | - Arabella Bouzigues
- Department of Neurodegenerative Disease, Dementia Research Centre, UCL Institute of Neurology, Queen Square, London, WC1N 3BG, UK
| | - Lucy L Russell
- Department of Neurodegenerative Disease, Dementia Research Centre, UCL Institute of Neurology, Queen Square, London, WC1N 3BG, UK
| | - Kiran Samra
- Department of Neurodegenerative Disease, Dementia Research Centre, UCL Institute of Neurology, Queen Square, London, WC1N 3BG, UK
| | - David M Cash
- Department of Neurodegenerative Disease, Dementia Research Centre, UCL Institute of Neurology, Queen Square, London, WC1N 3BG, UK
| | - Martina Bocchetta
- Department of Neurodegenerative Disease, Dementia Research Centre, UCL Institute of Neurology, Queen Square, London, WC1N 3BG, UK
| | - Emily G Todd
- Department of Neurodegenerative Disease, Dementia Research Centre, UCL Institute of Neurology, Queen Square, London, WC1N 3BG, UK
| | - Rhian S Convery
- Department of Neurodegenerative Disease, Dementia Research Centre, UCL Institute of Neurology, Queen Square, London, WC1N 3BG, UK
| | - Imogen Swift
- Department of Neurodegenerative Disease, Dementia Research Centre, UCL Institute of Neurology, Queen Square, London, WC1N 3BG, UK
- UK Dementia Research Institute at UCL, London, WC1E 6BT, UK
| | - Aitana Sogorb-Esteve
- Department of Neurodegenerative Disease, Dementia Research Centre, UCL Institute of Neurology, Queen Square, London, WC1N 3BG, UK
- UK Dementia Research Institute at UCL, London, WC1E 6BT, UK
| | - Carolin Heller
- Department of Neurodegenerative Disease, Dementia Research Centre, UCL Institute of Neurology, Queen Square, London, WC1N 3BG, UK
- UK Dementia Research Institute at UCL, London, WC1E 6BT, UK
| | - John C van Swieten
- Department of Neurology, Erasmus Medical Centre, Rotterdam, 3015 GD, The Netherlands
| | - Lize C Jiskoot
- Department of Neurology, Erasmus Medical Centre, Rotterdam, 3015 GD, The Netherlands
| | - Harro Seelaar
- Department of Neurology, Erasmus Medical Centre, Rotterdam, 3015 GD, The Netherlands
| | - Raquel Sanchez-Valle
- Alzheimer's Disease and Other Cognitive Disorders Unit, Neurology Service, Hospital Clinic, Institut d'Investigacións Biomèdiques August Pi I Sunyer, University of Barcelona, 08036, Barcelona, Spain
| | - Fermin Moreno
- Cognitive Disorders Unit, Department of Neurology, Donostia University Hospital, 20014, San Sebastian, Gipuzkoa, Spain
- Neuroscience Area, Biodonostia Health Research Institute, 20014, San Sebastian, Gipuzkoa, Spain
| | - Robert Jr Laforce
- Clinique Interdisciplinaire de Mémoire, Département des Sciences Neurologiques, CHU de Québec, and Facultéde Médecine, Université Laval, Quebec City, Québec, G1V 0A6, Canada
| | - Caroline Graff
- Center for Alzheimer Research, Division of Neurogeriatrics, Department of Neurobiology, Care Sciences and Society, Bioclinicum, Karolinska Institutet, 141 52, Solna, Sweden
- Unit for Hereditary Dementias, Theme Aging, Karolinska University Hospital, 141 52, Solna, Sweden
| | - Matthis Synofzik
- Department of Neurodegenerative Diseases, Hertie-Institute for Clinical Brain Research and Center of Neurology, University of Tubingen, 72076, Tubingen, Germany
- Center for Neurodegenerative Diseases (DZNE), 72076, Tübingen, Germany
| | - Daniela Galimberti
- Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico, 20122, Milan, Italy
- Department of Biomedical, Surgical and Dental Sciences, University of Milan, 20122, Milan, Italy
| | - James B Rowe
- Department of Clinical Neurosciences and Cambridge University Hospitals NHS Trust and Medical Research Council Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, CB2 7EF, UK
| | - Mario Masellis
- Sunnybrook Health Sciences Centre, Sunnybrook Research Institute, University of Toronto, Toronto, ON, M4N 3M5, Canada
| | - Maria Carmela Tartaglia
- Tanz Centre for Research in Neurodegenerative Diseases, University of Toronto, Toronto, ON, M5S, Canada
| | - Elizabeth Finger
- Department of Clinical Neurological Sciences, University of Western Ontario, London, ON, N6A 3K7, Canada
| | - Rik Vandenberghe
- Laboratory for Cognitive Neurology, Department of Neurosciences, KU Leuven, 3001, Leuven, Belgium
- Neurology Service, University Hospitals Leuven, 3000, Leuven, Belgium
- Leuven Brain Institute, KU Leuven, 3001, Leuven, Belgium
| | | | - Pietro Tiraboschi
- Fondazione IRCCS Istituto Neurologico Carlo Besta, 20133, Milan, Italy
| | - Chris R Butler
- Nuffield Department of Clinical Neurosciences, Medical Sciences Division, University of Oxford, Oxford, OX3 9DU, UK
- Department of Brain Sciences, Imperial College London, London, SW7 2BX, UK
| | - Isabel Santana
- Neurology Service, Faculty of Medicine, University Hospital of Coimbra (HUC), University of Coimbra, 3004-561, Coimbra, Portugal
- Center for Neuroscience and Cell Biology, Faculty of Medicine, University of Coimbra, 3004-561, Coimbra, Portugal
| | - Alexander Gerhard
- Division of Neuroscience and Experimental Psychology, Wolfson Molecular Imaging Centre, University of Manchester, Manchester, M20 3LJ, UK
- Departments of Geriatric Medicine and Nuclear Medicine, University of Duisburg-Essen, 47057, Essen, Germany
- Cerebral Function Unit, Manchester Centre for Clinical Neurosciences, Salford Royal NHS Foundation Trust, Salford, M6 8HD, UK
| | - Isabelle Le Ber
- Sorbonne Université, Paris Brain Institute - Institut du Cerveau - ICM, Inserm U1127, CNRS UMR 7225, AP-HP - Hôpital Pitié-Salpêtrière, 75013, Paris, France
- Centre de référence des démences rares ou précoces, IM2A, Département de Neurologie, AP-HP - Hôpital Pitié-Salpêtrière, 75013, Paris, France
- Département de Neurologie, AP-HP - Hôpital Pitié-Salpêtrière, 75013, Paris, France
| | - Florence Pasquier
- Univ Lille, 59000, Lille, France
- , Inserm 1172, 59000, Lille, France
- CHU, CNR-MAJ, Labex Distalz, LiCEND Lille, 59000, Lille, France
| | - Simon Ducharme
- Douglas Mental Health University Institute, Department of Psychiatry, McGill University, Montreal, H3A 1A1, Canada
- McConnell Brain Imaging Centre, Montreal Neurological Institute, Department of Neurology & Neurosurgery, McGill University, Montreal, H3A 2B4, Canada
| | - Johannes Levin
- Neurologische Klinik und Poliklinik, Ludwig-Maximilians-Universität, 80539, Munich, Germany
- Center for Neurodegenerative Diseases (DZNE), 81377, Munich, Germany
- Munich Cluster of Systems Neurology, 81377, Munich, Germany
| | - Sandro Sorbi
- Department of Neurofarba, University of Florence, 50139, Florence, Italy
- IRCCS Fondazione Don Carlo Gnocchi, 50143, Florence, Italy
| | - Markus Otto
- Department of Neurology, University of Ulm, 89081, Ulm, Germany
| | - Alessandro Padovani
- Neurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, P.le Spedali Civili 1, 25123, Brescia, Italy
- Neurology Unit, Department of Neurological and Vision Sciences, ASST Spedali Civili di Brescia, 25123, Brescia, Italy
| | - Jonathan D Rohrer
- Department of Neurodegenerative Disease, Dementia Research Centre, UCL Institute of Neurology, Queen Square, London, WC1N 3BG, UK
- UK Dementia Research Institute at UCL, London, WC1E 6BT, UK
| | - Barbara Borroni
- Neurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, P.le Spedali Civili 1, 25123, Brescia, Italy.
- Neurology Unit, Department of Neurological and Vision Sciences, ASST Spedali Civili di Brescia, 25123, Brescia, Italy.
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Robinson L, Dreesen E, Mondesir M, Harrington C, Wischik C, Riedel G. Apathy-like behaviour in tau mouse models of Alzheimer's disease and frontotemporal dementia. Behav Brain Res 2024; 456:114707. [PMID: 37820751 DOI: 10.1016/j.bbr.2023.114707] [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: 07/19/2023] [Revised: 10/03/2023] [Accepted: 10/07/2023] [Indexed: 10/13/2023]
Abstract
Apathy is the most common behavioural and psychological symptom in Alzheimer's disease (AD) and other neurodegenerative diseases including frontotemporal dementia (FTD) and Parkinson's disease (PD). In patients, apathy can include symptoms of loss of motivation, initiative, and interest, listlessness, and indifference, flattening of emotions, absence of drive and passion. Researchers have later refined this to a reduction in goal direct behaviours. In animals, specific symptoms of apathy-like behaviour have been modelled including goal directed or nest-building behaviour which are seen as indicative of proxies for motivation and daily activities. In the present study a nest-building protocol was established using four different inbred mouse strains (CD1, BALB/c, C57Bl/6J, C3H) before assessing AD and FTD tau transgenic mice of Line 1 (L1) and Line 66 (L66) in this paradigm. Female mice aged 5 - 6 months were assessed in the home cage over a period of 7 days with nest-building behaviour scored by three independent experimenters at intervals of 1-, 2- and 7-days post nestlet introduction. Inbred mouse strains displayed different levels of nesting behaviour. BALB/c mice were more proficient than CD1 and C3H mice, while all strains displayed similar nest-building behaviour by day 7. In the tau mouse models, L66 presented with impaired nesting compared to wild-type on days 1 and 2 (not day 7), whereas L1 performed like wild-type on all days. Anhedonia measured in a sucrose preference test was only observed in L66. Anhedonia and low nesting scores in L66 mice are indicative of apathy-like phenotypes. Differences evident between the L1 and L66 tau transgenic mouse models are likely due to the different human tau species expressed in these mice.
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Affiliation(s)
- Lianne Robinson
- School of Medicine, Medical Sciences & Nutrition, University of Aberdeen, Foresterhill AB25 2ZD, United Kingdom.
| | - Eline Dreesen
- School of Medicine, Medical Sciences & Nutrition, University of Aberdeen, Foresterhill AB25 2ZD, United Kingdom
| | - Miguel Mondesir
- School of Medicine, Medical Sciences & Nutrition, University of Aberdeen, Foresterhill AB25 2ZD, United Kingdom
| | - Charles Harrington
- School of Medicine, Medical Sciences & Nutrition, University of Aberdeen, Foresterhill AB25 2ZD, United Kingdom; TauRx Therapeutics Ltd, 395 King Street, Aberdeen AB24 5RP, United Kingdom
| | - Claude Wischik
- School of Medicine, Medical Sciences & Nutrition, University of Aberdeen, Foresterhill AB25 2ZD, United Kingdom; TauRx Therapeutics Ltd, 395 King Street, Aberdeen AB24 5RP, United Kingdom
| | - Gernot Riedel
- School of Medicine, Medical Sciences & Nutrition, University of Aberdeen, Foresterhill AB25 2ZD, United Kingdom
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7
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Dalléry R, Saleh Y, Manohar S, Husain M. Persistence of effort in apathy. Rev Neurol (Paris) 2023; 179:1047-1060. [PMID: 37451928 DOI: 10.1016/j.neurol.2023.03.017] [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: 12/19/2021] [Revised: 02/19/2023] [Accepted: 03/29/2023] [Indexed: 07/18/2023]
Abstract
The syndrome of apathy has generated increasing interest in recent years as systematic evaluations have revealed its high prevalence and strong negative impact on quality of life across a wide range of neurological and psychiatric conditions. However, although several theoretical models have been proposed to account for various aspects of the condition, understanding of this syndrome is still incomplete. One influential model has proposed that apathy might be described as a quantitative reduction of goal-directed behaviour in comparison to an individual's prior level of functioning. Persistence of activity defined as the capacity to continue with a task - sometimes in the face of setbacks, high levels of difficulty or fatigue - is a crucial but understudied aspect of goal-directed behaviour. Surprisingly, it has not been investigated yet in the context of apathy. Here, we provide an overview of theoretical and experimental aspects of persistence in effort that might assist to develop methods for the investigation of persistence in human behaviour, particularly within the pathologic context of apathy.
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Affiliation(s)
- R Dalléry
- Department of Experimental Psychology, University of Oxford, Oxford, UK; Université Paris Sorbonne, Paris, France; Service de neurologie, centre de référence maladie de Huntington, hôpital Henri-Mondor-Albert-Chenevier, AP-HP, 94010 Créteil, France.
| | - Y Saleh
- Department of Experimental Psychology, University of Oxford, Oxford, UK; Nuffield Department Clinical Neurosciences, University of Oxford, Oxford, UK
| | - S Manohar
- Department of Experimental Psychology, University of Oxford, Oxford, UK; Institute of Cognitive Neuroscience, University College London, London, UK
| | - M Husain
- Department of Experimental Psychology, University of Oxford, Oxford, UK; Nuffield Department Clinical Neurosciences, University of Oxford, Oxford, UK
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8
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Orlando IF, Shine JM, Robbins TW, Rowe JB, O'Callaghan C. Noradrenergic and cholinergic systems take centre stage in neuropsychiatric diseases of ageing. Neurosci Biobehav Rev 2023; 149:105167. [PMID: 37054802 DOI: 10.1016/j.neubiorev.2023.105167] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2022] [Revised: 02/28/2023] [Accepted: 03/28/2023] [Indexed: 04/15/2023]
Abstract
Noradrenergic and cholinergic systems are among the most vulnerable brain systems in neuropsychiatric diseases of ageing, including Alzheimer's disease, Parkinson's disease, Lewy body dementia, and progressive supranuclear palsy. As these systems fail, they contribute directly to many of the characteristic cognitive and psychiatric symptoms. However, their contribution to symptoms is not sufficiently understood, and pharmacological interventions targeting noradrenergic and cholinergic systems have met with mixed success. Part of the challenge is the complex neurobiology of these systems, operating across multiple timescales, and with non-linear changes across the adult lifespan and disease course. We address these challenges in a detailed review of the noradrenergic and cholinergic systems, outlining their roles in cognition and behaviour, and how they influence neuropsychiatric symptoms in disease. By bridging across levels of analysis, we highlight opportunities for improving drug therapies and for pursuing personalised medicine strategies.
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Affiliation(s)
- Isabella F Orlando
- Brain and Mind Centre and School of Medical Sciences, Faculty of Medicine and Health, University of Sydney, Australia
| | - James M Shine
- Brain and Mind Centre and School of Medical Sciences, Faculty of Medicine and Health, University of Sydney, Australia
| | - Trevor W Robbins
- Behavioural and Clinical Neuroscience Institute and Department of Psychology, University of Cambridge, CB2 3EB, United Kingdom
| | - James B Rowe
- Department of Clinical Neurosciences and Cambridge University Hospitals NHS Trust, University of Cambridge, CB2 0SZ, United Kingdom
| | - Claire O'Callaghan
- Brain and Mind Centre and School of Medical Sciences, Faculty of Medicine and Health, University of Sydney, Australia.
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9
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Chu M, Jiang D, Liu L, Nie B, Cui B, Wang Y, Rosa-Neto P, Wu L. Altered Anterior Insular Metabolic Connectivity in Asymptomatic MAPT P301L Carriers. J Alzheimers Dis 2023:JAD221035. [PMID: 37182866 DOI: 10.3233/jad-221035] [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: 05/16/2023]
Abstract
BACKGROUND The insula is the predominant brain region impaired in behavior variant frontotemporal dementia (bvFTD). However, structural and functional changes in the sub-insula in the asymptomatic stage of bvFTD are unknown. OBJECTIVE To describe structural and functional changes in insula subregions in asymptomatic carriers of the P301L mutation of the microtubule-associated protein tau (MAPT) gene and patients with bvFTD. METHODS Six asymptomatic MAPT P301L mutation carriers and 12 MAPT negative control subjects of the same pedigree were enrolled, along with 30 patients with a clinical diagnosis of bvFTD and 30 matched controls. All subjects underwent hybrid positron emission tomography/magnetic resonance imaging. Atlas-based parcellation using a fine-grained Brainnetome Atlas was conducted to assess gray matter (GM) volume, metabolism, and metabolic connectivity in the sub-insula (region of interest). RESULTS There was no significant GM atrophy or hypometabolism in insula subregions in asymptomatic MAPT P301L carriers, although decreased metabolic connectivity between vIa-middle temporal gyrus, vIa-temporal poles, dIa-middle temporal gyrus and dIa-temporal poles; and increased connectivity between vIa-orbitofrontal, vIa-dorsal lateral superior frontal gyrus, and dIa-orbitofrontal and dIa-dorsal lateral superior frontal gyrus were observed. Patients with bvFTD had significant atrophy and hypometabolism in all insula subregions and decreased metabolic connectivity in the whole brain, including vIa/dIa-middle temporal and vIa/dIa-temporal poles. The standardized uptake value ratios of vIa and dIa were negatively associated with behavioral disinhibition scale scores. CONCLUSION Metabolic connectivity is altered in vIa and dIa subregions of the sub-insula in MAPT P301L mutation carriers before the occurrence of atrophy, hypometabolism, and clinical symptoms.
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Affiliation(s)
- Min Chu
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Deming Jiang
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Li Liu
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Binbin Nie
- Beijing Engineering Research Center of Radiographic Techniques and Equipment, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing, China
- School of Nuclear Science and Technology, University of Chinese Academy of Sciences, Beijing
| | - Bo Cui
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | | | - Pedro Rosa-Neto
- McGill Centre for Studies in Aging, Alzheimer's Disease Research Unit, Montreal, Canada
| | - Liyong Wu
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
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10
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Mehak SF, Shivakumar AB, Saraf V, Johansson M, Gangadharan G. Apathy in Alzheimer's disease: A neurocircuitry based perspective. Ageing Res Rev 2023; 87:101891. [PMID: 36871779 DOI: 10.1016/j.arr.2023.101891] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2022] [Revised: 01/25/2023] [Accepted: 02/21/2023] [Indexed: 03/07/2023]
Abstract
In addition to memory deficits and other cognitive disturbances, patients with Alzheimer's disease (AD) experience neuropsychiatric symptoms, notably apathy, which is a state of impaired motivation observed by deficits in goal directed behavior. Apathy is a multifaceted neuropsychiatric condition and appears to be a prognostic indicator, correlating with the progression of AD. Strikingly, recent studies point out that the neurodegenerative pathology of AD may drive apathy independent of cognitive decline. These studies also highlight that neuropsychiatric symptoms, in particular apathy, might manifest early in AD. Here, we review the current understanding of the neurobiological underpinnings of apathy as a neuropsychiatric symptom of AD. Specifically, we highlight the neural circuits and brain regions recognized to be correlated with the apathetic symptomatology. We also discuss the current evidence that supports the notion that apathy and cognitive deficits may develop as independent but concurrent phenomena driven by AD pathology, suggesting its efficacy as an additional outcome measure in Alzheimer's disease clinical trials. The current and prospective therapeutic interventions for apathy in AD from a neurocircuitry based perspective are also reviewed.
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Affiliation(s)
- Sonam Fathima Mehak
- Department of Cell and Molecular Biology, Manipal School of Life Sciences, Manipal Academy of Higher Education, Manipal, Karnataka 576104, India.
| | - Apoorva Bettagere Shivakumar
- Department of Cell and Molecular Biology, Manipal School of Life Sciences, Manipal Academy of Higher Education, Manipal, Karnataka 576104, India.
| | - Vikyath Saraf
- Department of Cell and Molecular Biology, Manipal School of Life Sciences, Manipal Academy of Higher Education, Manipal, Karnataka 576104, India.
| | - Maurits Johansson
- Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, SUS, Sweden; Division of Clinical Sciences, Helsingborg, Department of Clinical Sciences Lund, Lund University, Sweden; Department of Psychiatry, Helsingborg Hospital, Sweden.
| | - Gireesh Gangadharan
- Department of Cell and Molecular Biology, Manipal School of Life Sciences, Manipal Academy of Higher Education, Manipal, Karnataka 576104, India.
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11
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Addition of the FTD Module to the Neuropsychiatric Inventory improves classification of frontotemporal dementia spectrum disorders. J Neurol 2023; 270:2674-2687. [PMID: 36811680 PMCID: PMC10129920 DOI: 10.1007/s00415-023-11596-3] [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: 12/19/2022] [Revised: 01/26/2023] [Accepted: 01/28/2023] [Indexed: 02/24/2023]
Abstract
Most neuropsychiatric symptoms (NPS) common in frontotemporal dementia (FTD) are currently not part of the Neuropsychiatric Inventory (NPI). We piloted an FTD Module that included eight extra items to be used in conjunction with the NPI. Caregivers of patients with behavioural variant FTD (n = 49), primary progressive aphasia (PPA; n = 52), Alzheimer's dementia (AD; n = 41), psychiatric disorders (n = 18), presymptomatic mutation carriers (n = 58) and controls (n = 58) completed the NPI and FTD Module. We investigated (concurrent and construct) validity, factor structure and internal consistency of the NPI and FTD Module. We performed group comparisons on item prevalence, mean item and total NPI and NPI with FTD Module scores, and multinomial logistic regression to determine its classification abilities. We extracted four components, together explaining 64.1% of the total variance, of which the largest indicated the underlying dimension 'frontal-behavioural symptoms'. Whilst apathy (original NPI) occurred most frequently in AD, logopenic and non-fluent variant PPA, the most common NPS in behavioural variant FTD and semantic variant PPA were loss of sympathy/empathy and poor response to social/emotional cues (part of FTD Module). Patients with primary psychiatric disorders and behavioural variant FTD showed the most severe behavioural problems on both the NPI as well as the NPI with FTD Module. The NPI with FTD Module correctly classified more FTD patients than the NPI alone. By quantifying common NPS in FTD the NPI with FTD Module has large diagnostic potential. Future studies should investigate whether it can also prove a useful addition to the NPI in therapeutic trials.
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12
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Malpetti M, Jones PS, Cope TE, Holland N, Naessens M, Rouse MA, Rittman T, Savulich G, Whiteside DJ, Street D, Fryer TD, Hong YT, Milicevic Sephton S, Aigbirhio FI, O′Brien JT, Rowe JB. Synaptic Loss in Frontotemporal Dementia Revealed by [ 11 C]UCB-J Positron Emission Tomography. Ann Neurol 2023; 93:142-154. [PMID: 36321699 PMCID: PMC10099663 DOI: 10.1002/ana.26543] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2022] [Revised: 09/28/2022] [Accepted: 10/30/2022] [Indexed: 11/06/2022]
Abstract
OBJECTIVE Synaptic loss is an early feature of neurodegenerative disease models, and is severe in post mortem clinical studies, including frontotemporal dementia. Positron emission tomography (PET) with radiotracers that bind to synaptic vesicle glycoprotein 2A enables quantification of synaptic density in vivo. This study used [11 C]UCB-J PET in participants with behavioral variant frontotemporal dementia (bvFTD), testing the hypothesis that synaptic loss is severe and related to clinical severity. METHODS Eleven participants with clinically probable bvFTD and 25 age- and sex-matched healthy controls were included. Participants underwent dynamic [11 C]UCB-J PET, structural magnetic resonance imaging, and a neuropsychological battery, including the revised Addenbrooke Cognitive Examination, and INECO frontal screening. General linear models compared [11 C]UCB-J binding potential maps and gray matter volume between groups, and assessed associations between synaptic density and clinical severity in patients. Analyses were also performed using partial volume corrected [11 C]UCB-J binding potential from regions of interest (ROIs). RESULTS Patients with bvFTD showed severe synaptic loss compared to controls. [11 C]UCB-J binding was reduced bilaterally in medial and dorsolateral frontal regions, inferior frontal gyri, anterior and posterior cingulate gyrus, insular cortex, and medial temporal lobe. Synaptic loss in the frontal and cingulate regions correlated significantly with cognitive impairments. Synaptic loss was more severe than atrophy. Results from ROI-based analyses mirrored the voxelwise results. INTERPRETATION In accordance with preclinical models, and human postmortem evidence, there is widespread frontotemporal loss of synapses in symptomatic bvFTD, in proportion to severity. [11 C]UCB-J PET could support translational studies and experimental medicine strategies for new disease-modifying treatments for neurodegeneration. ANN NEUROL 2023;93:142-154.
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Affiliation(s)
- Maura Malpetti
- Department of Clinical NeurosciencesUniversity of CambridgeCambridgeUK
- Cambridge University Hospitals National Health Service Foundation TrustCambridgeUK
| | - P. Simon Jones
- Department of Clinical NeurosciencesUniversity of CambridgeCambridgeUK
| | - Thomas E. Cope
- Department of Clinical NeurosciencesUniversity of CambridgeCambridgeUK
- Cambridge University Hospitals National Health Service Foundation TrustCambridgeUK
- Medical Research Council Cognition and Brain Sciences UnitUniversity of CambridgeUK
| | - Negin Holland
- Department of Clinical NeurosciencesUniversity of CambridgeCambridgeUK
- Cambridge University Hospitals National Health Service Foundation TrustCambridgeUK
| | - Michelle Naessens
- Department of Clinical NeurosciencesUniversity of CambridgeCambridgeUK
| | - Matthew A. Rouse
- Medical Research Council Cognition and Brain Sciences UnitUniversity of CambridgeUK
| | - Timothy Rittman
- Department of Clinical NeurosciencesUniversity of CambridgeCambridgeUK
- Cambridge University Hospitals National Health Service Foundation TrustCambridgeUK
| | | | - David J. Whiteside
- Department of Clinical NeurosciencesUniversity of CambridgeCambridgeUK
- Cambridge University Hospitals National Health Service Foundation TrustCambridgeUK
| | - Duncan Street
- Department of Clinical NeurosciencesUniversity of CambridgeCambridgeUK
- Cambridge University Hospitals National Health Service Foundation TrustCambridgeUK
| | - Tim D. Fryer
- Department of Clinical NeurosciencesUniversity of CambridgeCambridgeUK
- Wolfson Brain Imaging CentreUniversity of CambridgeCambridgeUK
| | - Young T. Hong
- Department of Clinical NeurosciencesUniversity of CambridgeCambridgeUK
- Wolfson Brain Imaging CentreUniversity of CambridgeCambridgeUK
| | - Selena Milicevic Sephton
- Department of Clinical NeurosciencesUniversity of CambridgeCambridgeUK
- Wolfson Brain Imaging CentreUniversity of CambridgeCambridgeUK
| | - Franklin I. Aigbirhio
- Department of Clinical NeurosciencesUniversity of CambridgeCambridgeUK
- Wolfson Brain Imaging CentreUniversity of CambridgeCambridgeUK
| | - John T. O′Brien
- Cambridge University Hospitals National Health Service Foundation TrustCambridgeUK
- Department of PsychiatryUniversity of CambridgeCambridgeUK
| | - James B. Rowe
- Department of Clinical NeurosciencesUniversity of CambridgeCambridgeUK
- Cambridge University Hospitals National Health Service Foundation TrustCambridgeUK
- Medical Research Council Cognition and Brain Sciences UnitUniversity of CambridgeUK
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13
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Finger E, Malik R, Bocchetta M, Coleman K, Graff C, Borroni B, Masellis M, Laforce R, Greaves CV, Russell LL, Convery RS, Bouzigues A, Cash DM, Otto M, Synofzik M, Rowe JB, Galimberti D, Tiraboschi P, Bartha R, Shoesmith C, Tartaglia MC, van Swieten JC, Seelaar H, Jiskoo LC, Sorbi S, Butler CR, Gerhard A, Sanchez-Valle R, de Mendonça A, Moreno F, Vandenberghe R, Le Ber I, Levin J, Pasquier F, Santana I, Rohrer JD, Ducharme S. Neurodevelopmental effects of genetic frontotemporal dementia in young adult mutation carriers. Brain 2022; 146:2120-2131. [PMID: 36458975 DOI: 10.1093/brain/awac446] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2022] [Revised: 10/05/2022] [Accepted: 10/16/2022] [Indexed: 12/03/2022] Open
Abstract
While frontotemporal dementia (frontotemporal dementia) has been considered a neurodegenerative disease that starts in mid-life or later, it is now clearly established that cortical and subcortical volume loss is observed more than a decade prior to symptom onset and progresses with aging. To test the hypothesis that genetic mutations causing frontotemporal dementia have neurodevelopmental consequences, we have examined the youngest adults in the GENFI cohort of pre-symptomatic frontotemporal dementia mutation carriers who are between the ages of 19 and 30y. Structural brain differences and improved performance on some cognitive tests was found for MAPT and GRN mutation carriers relative to familial non-carriers, while smaller volumes were observed in C9orf72 repeat expansion carriers at a mean age of 26y. The detection of such early differences supports potential advantageous neurodevelopmental consequences of some frontotemporal dementia causing genetic mutations. These results have implications for design of therapeutic interventions for frontotemporal dementia. Future studies at younger ages are needed to identify specific early pathophysiologic or compensatory processes in the neurodevelopmental period.
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Affiliation(s)
- Elizabeth Finger
- Department of Clinical Neurological Sciences, University of Western Ontario, London, ON, Canada
| | - Rubina Malik
- Schulich School of Medicine & Dentistry, Graduate Program in Neuroscience, University of Western Ontario, London, Ontario, Canada
| | - Martina Bocchetta
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Kristy Coleman
- Department of Clinical Neurological Sciences, University of Western Ontario, London, ON, Canada
| | - Caroline Graff
- Karolinska Institutet, Department NVS, Division of Neurogeriatrics, Stockholm, Sweden
- Unit for Hereditary Dementia, Theme Aging, Karolinska University Hospital-Solna Stockholm Sweden
| | - Barbara Borroni
- Centre for Neurodegenerative Disorders, Neurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
| | - Mario Masellis
- Campbell Cognitive Neurology Research Unit, Sunnybrook Research Institute, Toronto, ON, Canada
| | - Robert Laforce
- Clinique Interdisciplinaire de Mémoire, Département des Sciences Neurologiques, CHU de Québec, Faculté de Médecine, Université Laval, Québec, Canada
| | - Caroline V Greaves
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Lucy L Russell
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Rhian S Convery
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Arabella Bouzigues
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - David M Cash
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Markus Otto
- Department of Neurology, University Hospital Ulm, Ulm, Germany
| | - Matthis Synofzik
- Division Translational Genomics of Neurodegenerative Diseases, Hertie Institute for Clinical Brain Research (HIH), University of Tübingen, Tübingen, Germany
- German Center for Neurodegenerative Diseases (DZNE), Tübingen, Germany
| | - James B Rowe
- Department of Clinical Neurosciences and Cambridge University Hospitals NHS Trust and Medical Research Council Cognition and brain Sciences Unit, University of Cambridge, Cambridge, UK
| | - Daniela Galimberti
- Department of Biomedical, Surgical and Dental Sciences, University of Milan, Milan, Italy
- Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico, Milan, Italy
| | | | - Robert Bartha
- Department of Medical Biophysics, The University of Western Ontario, London, Ontario, Canada
- Centre for Functional and Metabolic Mapping, Robarts Research Institute, The University of Western Ontario, London, Ontario, Canada
| | - Christen Shoesmith
- Department of Clinical Neurological Sciences, University of Western Ontario, London, ON, Canada
| | - Maria Carmela Tartaglia
- Toronto Western Hospital, Tanz Centre for Research in Neurodegenerative Disease, Toronto, ON, Canada
| | - John C van Swieten
- Department of Neurology and Alzheimer center, Erasmus Medical Center Rotterdam, the Netherlands
| | - Harro Seelaar
- Department of Neuroscience, Psychology, Drug Research and Child Health, University of Florence, Florence, Italy
| | - Lize C Jiskoo
- Department of Neurology and Alzheimer center, Erasmus Medical Center Rotterdam, the Netherlands
| | - Sandro Sorbi
- Department of Neuroscience, Psychology, Drug Research and Child Health, University of Florence, Florence, Italy
| | - Chris R Butler
- Department of Clinical Neurology, University of Oxford, Oxford, UK
| | - Alexander Gerhard
- Division of Neuroscience and Experimental Psychology, Wolfson Molecular Imaging Centre, University of Manchester, Manchester, UK
- Departments of Geriatric Medicine and Nuclear Medicine, University of Duisburg-Essen, Germany
| | - Raquel Sanchez-Valle
- Neurology Department, Hospital Clinic, Institut d'Investigacions Biomèdiques, Barcelona, Spain
| | | | - Fermin Moreno
- Hospital Universitario Donostia, San Sebastian, Spain
| | - Rik Vandenberghe
- Laboratory for Cognitive Neurology, Department of Neurosciences, KU Leuven, Leuven, Belgium
| | - Isabelle Le Ber
- Sorbonne Université, Paris Brain Institute - Institut du Cerveau - ICM, Inserm U1127, CNRS UMR 7225, AP-HP - Hôpital Pitié-Salpêtrière, Paris, France
- Centre de référence des démences rares ou précoces, IM2A, Département de Neurologie, AP-HP - Hôpital Pitié-Salpêtrière, Paris, France
- Département de Neurologie, AP-HP - Hôpital Pitié-Salpêtrière, Paris, France
| | - Johannes Levin
- Neurologische Klinik und Poliklinik, Ludwig-Maximilians-Universität, Munich; German Center for Neurodegenerative Diseases (DZNE), Munich; Munich Cluster of Systems Neurology, Munich, Germany
| | - Florence Pasquier
- Univ Lille, Lille, France
- Inserm 1172, Lille, France
- CHU, CNR-MAJ, Labex Distalz, LiCEND, Lille, France
| | - Isabel Santana
- Neurology Department, Centro Hospitalar e Universitário de Coimbra, Portugal
| | - Jonathan D Rohrer
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Simon Ducharme
- Department of Neurology and Neurosurgery, McGill University, Montreal, Quebec, Canada
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14
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Kawakami I, Iga J, Takahashi S, Lin Y, Fujishiro H. Towards an understanding of the pathological basis of senile depression and incident dementia: Implications for treatment. Psychiatry Clin Neurosci 2022; 76:620-632. [PMID: 36183356 PMCID: PMC10092575 DOI: 10.1111/pcn.13485] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/31/2022] [Revised: 09/15/2022] [Accepted: 09/24/2022] [Indexed: 11/30/2022]
Abstract
Senile depression (SD) is a heterogeneous syndrome. Several clinical profiles are more likely to appear in SD than in early-life depression, but it remains unclear whether the pathophysiology is different. The prevalence of dementia increases with aging, and the underlying pathophysiological processes in the preclinical phase begin even before cognitive deficits or neurological signs appear. SD may be either a risk factor for developing dementia or a prodromal stage of dementia. The inconsistent findings regarding the association between SD and incident dementia may be attributable to the neuropathological heterogeneity underlying SD. Most studies have focused on patients with the clinical diagnosis of Alzheimer disease (AD) as an outcome, but several clinicopathological studies suggest that primary age-related tauopathy and argyrophilic grain disease may account for a proportion of cases clinically misdiagnosed as AD in the elderly population. Furthermore, most AD cases have additional neuropathologic changes such as cerebrovascular disease and Lewy body disease. Here, we review the neuropathological findings linking SD to incident dementia, focusing on common age-related neuropathologies. In particular, the roles of disturbance of neural circuity, imbalance of monoaminergic systems, dysregulation of the hypothalamic-pituitary-adrenal axis, and elevated neuroinflammatory status are discussed. Finally, we review the current treatment of SD in the context of age-related neuropathological changes.
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Affiliation(s)
- Ito Kawakami
- Department of PsychiatryJuntendo University School of MedicineTokyoJapan
- Dementia Research ProjectTokyo Metropolitan Institute of Medical ScienceTokyoJapan
| | - Jun‐ichi Iga
- Department of NeuropsychiatryEhime University Graduate School of MedicineMatsuyamaJapan
| | - Sho Takahashi
- Department of Disaster and Community Psychiatry, Division of Clinical Medicine, Faculty of MedicineUniversity of TsukubaTsukubaJapan
- Department of Community and Disaster Assistance, Ibaraki Prefectural Medical Research Center of PsychiatryUniversity of TsukubaTsukubaJapan
| | - Yi‐Ting Lin
- Department of PsychiatryNational Taiwan University HospitalTaipeiTaiwan
| | - Hiroshige Fujishiro
- Department of PsychiatryNagoya University Graduate School of MedicineAichiJapan
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15
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Swaddiwudhipong N, Whiteside DJ, Hezemans FH, Street D, Rowe JB, Rittman T. Pre-diagnostic cognitive and functional impairment in multiple sporadic neurodegenerative diseases. Alzheimers Dement 2022; 19:1752-1763. [PMID: 36223793 DOI: 10.1002/alz.12802] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
INTRODUCTION The pathophysiological processes of neurodegenerative diseases begin years before diagnosis. However, pre-diagnostic changes in cognition and physical function are poorly understood, especially in sporadic neurodegenerative disease. METHODS UK Biobank data were extracted. Cognitive and functional measures in individuals who subsequently developed Alzheimer's disease (AD), Parkinson disease, frontotemporal dementia, progressive supranuclear palsy, dementia with Lewy bodies, or multiple system atrophy were compared against individuals without neurodegenerative diagnoses. The same measures were regressed against time to diagnosis, after adjusting for the effects of age. RESULTS There was evidence for pre-diagnostic cognitive impairment and decline with time, particularly in AD. Pre-diagnostic functional impairment and decline were observed in multiple diseases. DISCUSSION The scale and longitudinal follow-up of UK Biobank participants provides evidence for cognitive and functional decline years before symptoms become obvious in multiple neurodegenerative diseases. Identifying pre-diagnostic functional and cognitive changes could improve selection for preventive and early disease-modifying treatment trials.
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Affiliation(s)
- Nol Swaddiwudhipong
- Department of Clinical Neurosciences, Cambridge, UK.,Cambridge University Hospitals NHS Trust, University of Cambridge, Cambridge, UK
| | - David J Whiteside
- Department of Clinical Neurosciences, Cambridge, UK.,Cambridge University Hospitals NHS Trust, University of Cambridge, Cambridge, UK
| | - Frank H Hezemans
- Department of Clinical Neurosciences, Cambridge, UK.,MRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, UK
| | | | - James B Rowe
- Department of Clinical Neurosciences, Cambridge, UK.,Cambridge University Hospitals NHS Trust, University of Cambridge, Cambridge, UK.,MRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, UK
| | - Timothy Rittman
- Department of Clinical Neurosciences, Cambridge, UK.,Cambridge University Hospitals NHS Trust, University of Cambridge, Cambridge, UK
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16
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McKenna MC, Lope J, Tan EL, Bede P. Pre-symptomatic radiological changes in frontotemporal dementia: propagation characteristics, predictive value and implications for clinical trials. Brain Imaging Behav 2022; 16:2755-2767. [PMID: 35920960 DOI: 10.1007/s11682-022-00711-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/19/2022] [Indexed: 11/25/2022]
Abstract
Computational imaging and quantitative biomarkers offer invaluable insights in the pre-symptomatic phase of neurodegenerative conditions several years before clinical manifestation. In recent years, there has been a focused effort to characterize pre-symptomatic cerebral changes in familial frontotemporal dementias using computational imaging. Accordingly, a systematic literature review was conducted of original articles investigating pre-symptomatic imaging changes in frontotemporal dementia focusing on study design, imaging modalities, data interpretation, control cohorts and key findings. The review is limited to the most common genotypes: chromosome 9 open reading frame 72 (C9orf72), progranulin (GRN), or microtubule-associated protein tau (MAPT) genotypes. Sixty-eight studies were identified with a median sample size of 15 (3-141) per genotype. Only a minority of studies were longitudinal (28%; 19/68) with a median follow-up of 2 (1-8) years. MRI (97%; 66/68) was the most common imaging modality, and primarily grey matter analyses were conducted (75%; 19/68). Some studies used multimodal analyses 44% (30/68). Genotype-associated imaging signatures are presented, innovative study designs are highlighted, common methodological shortcomings are discussed and lessons for future studies are outlined. Emerging academic observations have potential clinical implications for expediting the diagnosis, tracking disease progression and optimising the timing of pharmaceutical trials.
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Affiliation(s)
- Mary Clare McKenna
- Computational Neuroimaging Group, Biomedical Sciences Institute, Trinity College Dublin, Room 5.43, Pearse Street, Dublin 2, Ireland.,Department of Neurology, St James's Hospital, Dublin, Ireland
| | - Jasmin Lope
- Computational Neuroimaging Group, Biomedical Sciences Institute, Trinity College Dublin, Room 5.43, Pearse Street, Dublin 2, Ireland
| | - Ee Ling Tan
- Computational Neuroimaging Group, Biomedical Sciences Institute, Trinity College Dublin, Room 5.43, Pearse Street, Dublin 2, Ireland
| | - Peter Bede
- Computational Neuroimaging Group, Biomedical Sciences Institute, Trinity College Dublin, Room 5.43, Pearse Street, Dublin 2, Ireland. .,Department of Neurology, St James's Hospital, Dublin, Ireland.
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17
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David MCB, Del Giovane M, Liu KY, Gostick B, Rowe JB, Oboh I, Howard R, Malhotra PA. Cognitive and neuropsychiatric effects of noradrenergic treatment in Alzheimer's disease: systematic review and meta-analysis. J Neurol Neurosurg Psychiatry 2022; 93:jnnp-2022-329136. [PMID: 35790417 PMCID: PMC9484390 DOI: 10.1136/jnnp-2022-329136] [Citation(s) in RCA: 22] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/24/2022] [Accepted: 05/19/2022] [Indexed: 02/02/2023]
Abstract
BACKGROUND Dysfunction of the locus coeruleus-noradrenergic system occurs early in Alzheimer's disease, contributing to cognitive and neuropsychiatric symptoms in some patients. This system offers a potential therapeutic target, although noradrenergic treatments are not currently used in clinical practice. OBJECTIVE To assess the efficacy of drugs with principally noradrenergic action in improving cognitive and neuropsychiatric symptoms in Alzheimer's disease. METHODS The MEDLINE, Embase and ClinicalTrials.gov databases were searched from 1980 to December 2021. We generated pooled estimates using random effects meta-analyses. RESULTS We included 19 randomised controlled trials (1811 patients), of which six were judged as 'good' quality, seven as 'fair' and six 'poor'. Meta-analysis of 10 of these studies (1300 patients) showed a significant small positive effect of noradrenergic drugs on global cognition, measured using the Mini-Mental State Examination or Alzheimer's Disease Assessment Scale-Cognitive Subscale (standardised mean difference (SMD): 0.14, 95% CI: 0.03 to 0.25, p=0.01; I2=0%). No significant effect was seen on measures of attention (SMD: 0.01, 95% CI: -0.17 to 0.19, p=0.91; I2=0). The apathy meta-analysis included eight trials (425 patients) and detected a large positive effect of noradrenergic drugs (SMD: 0.45, 95% CI: 0.16 to 0.73, p=0.002; I2=58%). This positive effect was still present following removal of outliers to account for heterogeneity across studies. DISCUSSION Repurposing of established noradrenergic drugs is most likely to offer effective treatment in Alzheimer's disease for general cognition and apathy. However, several factors should be considered before designing future clinical trials. These include targeting of appropriate patient subgroups and understanding the dose effects of individual drugs and their interactions with other treatments to minimise risks and maximise therapeutic effects. PROSPERO REGISTERATION NUMBER CRD42021277500.
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Affiliation(s)
- Michael C B David
- Imperial College London and the University of Surrey, UK Dementia Research Institute Care Research and Technology Centre, London, UK
- Brain Sciences, Imperial College London, London, UK
- Imperial College Healthcare NHS Trust, Clinical Neurosciences, Charing Cross Hospital, London, UK
| | - Martina Del Giovane
- Imperial College London and the University of Surrey, UK Dementia Research Institute Care Research and Technology Centre, London, UK
- Brain Sciences, Imperial College London, London, UK
| | - Kathy Y Liu
- Division of Psychiatry, University College London, London, UK
| | | | - James Benedict Rowe
- Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
| | - Imafidon Oboh
- South West London and St George's Mental Health NHS Trust, London, UK
| | - Robert Howard
- Division of Psychiatry, University College London, London, UK
| | - Paresh A Malhotra
- Imperial College London and the University of Surrey, UK Dementia Research Institute Care Research and Technology Centre, London, UK
- Brain Sciences, Imperial College London, London, UK
- Imperial College Healthcare NHS Trust, Clinical Neurosciences, Charing Cross Hospital, London, UK
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18
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Functional connectivity correlates of reduced goal-directed behaviors in behavioural variant frontotemporal dementia. Brain Struct Funct 2022; 227:2971-2989. [PMID: 35751676 DOI: 10.1007/s00429-022-02519-5] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2022] [Accepted: 05/30/2022] [Indexed: 12/12/2022]
Abstract
We explored the resting state functional connectivity correlates of apathy assessed as a multidimensional construct, using behavioral metrics, in behavioral variant frontotemporal dementia (bvFTD). We recorded the behavior of 20 bvFTD patients and 16 healthy controls in a close-to-real-life situation including a free phase (FP-in which actions were self-initiated) and a guided phase (GP-in which initiation of actions was facilitated by external guidance). We investigated the activity time and walking episode features as quantifiers of apathy. We used the means ((FP + GP)/2) and the differences (FP-GP) calculated for these metrics as well as measures by questionnaires to extract apathy dimensions by factor analysis. We assessed two types of fMRI-based resting state connectivity measures (local activity and seed-based connectivity) and explored their relationship with extracted apathy dimensions. Apathy in bvFTD was associated with lower time spent in activity combined with walking episodes of higher frequency, lower acceleration and higher duration. Using these behavioral metrics and apathy measures by questionnaires, we disentangled two dimensions: the global reduction of goal-directed behaviors and the specific deficit of self-initiation. Global apathy was associated with lower resting state activity within prefrontal cortex and lower connectivity of salience network hubs while the decrease in self-initiation was related to increased connectivity of parietal default-mode network hubs. Through a novel dimensional approach, we dissociated the functional connectivity correlates of global apathy and self-initiation deficit. We discussed in particular the role of the modified connectivity of lateral parietal cortex in the volitional process.
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19
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How can we define the presymptomatic C9orf72 disease in 2022? An overview on the current definitions of preclinical and prodromal phases. Rev Neurol (Paris) 2022; 178:426-436. [PMID: 35525633 DOI: 10.1016/j.neurol.2022.03.007] [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: 01/20/2022] [Accepted: 03/08/2022] [Indexed: 11/24/2022]
Abstract
Repeat expansions in C9orf72 gene are the main genetic cause of frontotemporal dementia, amyotrophic lateral sclerosis and related phenotypes. With the advent of disease-modifying treatments, the presymptomatic disease phase is getting increasing interest as an ideal time window in which innovant therapeutic approaches could be administered. Recommendations issued from international study groups distinguish between a preclinical disease stage, during which lesions accumulate in absence of any symptoms or signs, and a prodromal stage, marked by the appearance the first subtle cognitive, behavioral, psychiatric and motor signs, before the full-blown disease. This paper summarizes the current definitions and criteria for these stages, in particular focusing on how fluid-based, neuroimaging and cognitive biomarkers can be useful to monitor disease trajectory across the presymptomatic phase, as well as to detect the earliest signs of clinical conversion. Continuous advances in the knowledge of C9orf72 pathophysiology, and the integration of biomarkers in the clinical evaluation of mutation carriers will allow a better diagnostic definition of C9orf72 disease spectrum from the earliest stages, with relevant impact on the possibility of disease prevention.
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20
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Raimo S, Trojano L, Gaita M, d'Onofrio F, Spitaleri D, Santangelo G. Relationship between apathy and cognitive dysfunctions in Multiple Sclerosis: a 4-year prospective longitudinal study. Mult Scler Relat Disord 2022; 63:103929. [DOI: 10.1016/j.msard.2022.103929] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2022] [Revised: 05/10/2022] [Accepted: 05/27/2022] [Indexed: 12/01/2022]
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21
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Barker MS, Gottesman RT, Manoochehri M, Chapman S, Appleby BS, Brushaber D, Devick KL, Dickerson BC, Domoto-Reilly K, Fields JA, Forsberg LK, Galasko DR, Ghoshal N, Goldman J, Graff-Radford NR, Grossman M, Heuer HW, Hsiung GY, Knopman DS, Kornak J, Litvan I, Mackenzie IR, Masdeu JC, Mendez MF, Pascual B, Staffaroni AM, Tartaglia MC, Boeve BF, Boxer AL, Rosen HJ, Rankin KP, Cosentino S, Rascovsky K, Huey ED. Proposed research criteria for prodromal behavioural variant frontotemporal dementia. Brain 2022; 145:1079-1097. [PMID: 35349636 PMCID: PMC9050566 DOI: 10.1093/brain/awab365] [Citation(s) in RCA: 26] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2021] [Revised: 07/30/2021] [Accepted: 08/24/2021] [Indexed: 01/17/2023] Open
Abstract
At present, no research criteria exist for the diagnosis of prodromal behavioural variant frontotemporal dementia (bvFTD), though early detection is of high research importance. Thus, we sought to develop and validate a proposed set of research criteria for prodromal bvFTD, termed 'mild behavioural and/or cognitive impairment in bvFTD' (MBCI-FTD). Participants included 72 participants deemed to have prodromal bvFTD; this comprised 55 carriers of a pathogenic mutation known to cause frontotemporal lobar degeneration, and 17 individuals with autopsy-confirmed frontotemporal lobar degeneration. All had mild behavioural and/or cognitive changes, as judged by an evaluating clinician. Based on extensive clinical workup, the prodromal bvFTD group was divided into a Development Group (n = 22) and a Validation Group (n = 50). The Development Group was selected to be the subset of the prodromal bvFTD group for whom we had the strongest longitudinal evidence of conversion to bvFTD, and was used to develop the MBCI-FTD criteria. The Validation Group was the remainder of the prodromal bvFTD group and was used as a separate sample on which to validate the criteria. Familial non-carriers were included as healthy controls (n = 165). The frequencies of behavioural and neuropsychiatric features, neuropsychological deficits, and social cognitive dysfunction in the prodromal bvFTD Development Group and healthy controls were assessed. Based on sensitivity and specificity analyses, seven core features were identified: apathy without moderate-severe dysphoria, behavioural disinhibition, irritability/agitation, reduced empathy/sympathy, repetitive behaviours (simple and/or complex), joviality/gregariousness, and appetite changes/hyperorality. Supportive features include a neuropsychological profile of impaired executive function or naming with intact orientation and visuospatial skills, reduced insight for cognitive or behavioural changes, and poor social cognition. Three core features or two core features plus one supportive feature are required for the diagnosis of possible MBCI-FTD; probable MBCI-FTD requires imaging or biomarker evidence, or a pathogenic genetic mutation. The proposed MBCI-FTD criteria correctly classified 95% of the prodromal bvFTD Development Group, and 74% of the prodromal bvFTD Validation Group, with a false positive rate of <10% in healthy controls. Finally, the MBCI-FTD criteria were tested on a cohort of individuals with prodromal Alzheimer's disease, and the false positive rate of diagnosis was 11-16%. Future research will need to refine the sensitivity and specificity of these criteria, and incorporate emerging biomarker evidence.
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Affiliation(s)
- Megan S Barker
- Taub Institute for Research on Alzheimer’s Disease and the Aging Brain, Columbia University Medical Center, New York, NY, USA
| | - Reena T Gottesman
- Department of Neurology, Columbia University Medical Center, New York, NY, USA
| | - Masood Manoochehri
- Taub Institute for Research on Alzheimer’s Disease and the Aging Brain, Columbia University Medical Center, New York, NY, USA
| | - Silvia Chapman
- Taub Institute for Research on Alzheimer’s Disease and the Aging Brain, Columbia University Medical Center, New York, NY, USA
| | - Brian S Appleby
- Department of Neurology, Case Western Reserve University, Cleveland, OH, USA
| | - Danielle Brushaber
- Division of Biomedical Statistics and Informatics, Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - Katrina L Devick
- Division of Biomedical Statistics and Informatics, Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - Bradford C Dickerson
- Department of Neurology, Frontotemporal Disorders Unit, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | | | - Julie A Fields
- Division of Neurocognitive Disorders, Department of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, USA
| | | | - Douglas R Galasko
- Department of Neuroscience, University of California, San Diego, San Diego, CA, USA
| | - Nupur Ghoshal
- Department of Neurology, Washington University, St. Louis, MO, USA
| | - Jill Goldman
- Taub Institute for Research on Alzheimer’s Disease and the Aging Brain, Columbia University Medical Center, New York, NY, USA
- Department of Neurology, Columbia University Medical Center, New York, NY, USA
| | | | - Murray Grossman
- Penn Frontotemporal Degeneration Center, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Hilary W Heuer
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, San Francisco, CA, USA
| | - Ging-Yuek Hsiung
- Division of Neurology, Department of Medicine, University of British Columbia, Vancouver, British Columbia, Canada
| | | | - John Kornak
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA
| | - Irene Litvan
- Department of Neuroscience, University of California, San Diego, San Diego, CA, USA
| | - Ian R Mackenzie
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, British Columbia, Canada
| | - Joseph C Masdeu
- Nantz National Alzheimer Center, Houston Methodist Neurological Institute, Houston, TX, USA and Weill Cornell Medicine, NY, USA
| | - Mario F Mendez
- Department of Neurology, University of California, Los Angeles, CA, USA
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA, USA
| | - Belen Pascual
- Nantz National Alzheimer Center, Houston Methodist Neurological Institute, Houston, TX, USA and Weill Cornell Medicine, NY, USA
| | - Adam M Staffaroni
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, San Francisco, CA, USA
| | - Maria Carmela Tartaglia
- Division of Neurology, Department of Medicine, University of Toronto, Toronto, Ontario, Canada
| | | | - Adam L Boxer
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, San Francisco, CA, USA
| | - Howard J Rosen
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, San Francisco, CA, USA
| | - Katherine P Rankin
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, San Francisco, CA, USA
| | - Stephanie Cosentino
- Taub Institute for Research on Alzheimer’s Disease and the Aging Brain, Columbia University Medical Center, New York, NY, USA
- Department of Neurology, Columbia University Medical Center, New York, NY, USA
- Gertrude H. Sergievsky Center, Columbia University Medical Center, New York, NY, USA
| | - Katya Rascovsky
- Penn Frontotemporal Degeneration Center, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Edward D Huey
- Taub Institute for Research on Alzheimer’s Disease and the Aging Brain, Columbia University Medical Center, New York, NY, USA
- Department of Neurology, Columbia University Medical Center, New York, NY, USA
- Department of Psychiatry and New York Psychiatric Institute, Columbia University Medical Center, New York, USA
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22
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Frisoni GB, Altomare D, Thal DR, Ribaldi F, van der Kant R, Ossenkoppele R, Blennow K, Cummings J, van Duijn C, Nilsson PM, Dietrich PY, Scheltens P, Dubois B. The probabilistic model of Alzheimer disease: the amyloid hypothesis revised. Nat Rev Neurosci 2022; 23:53-66. [PMID: 34815562 PMCID: PMC8840505 DOI: 10.1038/s41583-021-00533-w] [Citation(s) in RCA: 185] [Impact Index Per Article: 92.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/04/2021] [Indexed: 01/03/2023]
Abstract
The current conceptualization of Alzheimer disease (AD) is driven by the amyloid hypothesis, in which a deterministic chain of events leads from amyloid deposition and then tau deposition to neurodegeneration and progressive cognitive impairment. This model fits autosomal dominant AD but is less applicable to sporadic AD. Owing to emerging information regarding the complex biology of AD and the challenges of developing amyloid-targeting drugs, the amyloid hypothesis needs to be reconsidered. Here we propose a probabilistic model of AD in which three variants of AD (autosomal dominant AD, APOE ε4-related sporadic AD and APOE ε4-unrelated sporadic AD) feature decreasing penetrance and decreasing weight of the amyloid pathophysiological cascade, and increasing weight of stochastic factors (environmental exposures and lower-risk genes). Together, these variants account for a large share of the neuropathological and clinical variability observed in people with AD. The implementation of this model in research might lead to a better understanding of disease pathophysiology, a revision of the current clinical taxonomy and accelerated development of strategies to prevent and treat AD.
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Affiliation(s)
- Giovanni B. Frisoni
- Laboratory of Neuroimaging of Aging (LANVIE), University of Geneva, Geneva, Switzerland.,Memory Clinic, Geneva University Hospitals, Geneva, Switzerland.,
| | - Daniele Altomare
- Laboratory of Neuroimaging of Aging (LANVIE), University of Geneva, Geneva, Switzerland.,Memory Clinic, Geneva University Hospitals, Geneva, Switzerland
| | - Dietmar Rudolf Thal
- Laboratory for Neuropathology, Department of Imaging and Pathology, and Leuven Brain Institute, University of Leuven, Leuven, Belgium.,Department of Pathology, University Hospital Leuven, Leuven, Belgium
| | - Federica Ribaldi
- Laboratory of Neuroimaging of Aging (LANVIE), University of Geneva, Geneva, Switzerland.,Memory Clinic, Geneva University Hospitals, Geneva, Switzerland.,Laboratory of Alzheimer’s Neuroimaging and Epidemiology (LANE), IRCCS Centro S. Giovanni di Dio Fatebenefratelli, Brescia, Italy.,Department of Molecular and Translational Medicine, University of Brescia, Brescia, Italy
| | - Rik van der Kant
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Amsterdam UMC, Amsterdam, Netherlands.,Center for Neurogenomics and Cognitive Research, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, Netherlands
| | - Rik Ossenkoppele
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Amsterdam UMC, Amsterdam, Netherlands.,Clinical Memory Research Unit, Lund University, Lund, Sweden
| | - Kaj Blennow
- Cinical Neurochemistry Laboratory, Institute of Neuroscience and Physiology, University of Gothenburg, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Jeffrey Cummings
- Chambers-Grundy Center for Transformative Neuroscience, Department of Brain Health, School of Integrated Health Sciences; University of Nevada, Las Vegas, Las Vegas, NV, USA
| | - Cornelia van Duijn
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, Netherlands.,Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Peter M. Nilsson
- Department of Clinical Sciences, Lund University, Skåne University Hospital, Malmö, Sweden
| | | | - Philip Scheltens
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Amsterdam UMC, Amsterdam, Netherlands.,Life Science Partners, Amsterdam, Netherlands
| | - Bruno Dubois
- Institut de la Mémoire et de la Maladie d’Alzheimer, IM2A, Groupe Hospitalier Pitié-Salpêtrière, Sorbonne Université, Paris, France.,Institut du Cerveau et de la Moelle Épinière, UMR-S975, INSERM, Paris, France
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23
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Benussi A, Alberici A, Samra K, Russell LL, Greaves CV, Bocchetta M, Ducharme S, Finger E, Fumagalli G, Galimberti D, Jiskoot LC, Le Ber I, Masellis M, Nacmias B, Rowe JB, Sanchez-Valle R, Seelaar H, Synofzik M, Rohrer JD, Borroni B. Conceptual framework for the definition of preclinical and prodromal frontotemporal dementia. Alzheimers Dement 2021; 18:1408-1423. [PMID: 34874596 DOI: 10.1002/alz.12485] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2021] [Revised: 08/25/2021] [Accepted: 08/30/2021] [Indexed: 12/13/2022]
Abstract
The presymptomatic stages of frontotemporal dementia (FTD) are still poorly defined and encompass a long accrual of progressive biological (preclinical) and then clinical (prodromal) changes, antedating the onset of dementia. The heterogeneity of clinical presentations and the different neuropathological phenotypes have prevented a prior clear description of either preclinical or prodromal FTD. Recent advances in therapeutic approaches, at least in monogenic disease, demand a proper definition of these predementia stages. It has become clear that a consensus lexicon is needed to comprehensively describe the stages that anticipate dementia. The goal of the present work is to review existing literature on the preclinical and prodromal phases of FTD, providing recommendations to address the unmet questions, therefore laying out a strategy for operationalizing and better characterizing these presymptomatic disease stages.
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Affiliation(s)
- Alberto Benussi
- Neurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy.,Neurology Unit, Department of Neurological and Vision Sciences, ASST Spedali Civili, Brescia, Italy
| | - Antonella Alberici
- Neurology Unit, Department of Neurological and Vision Sciences, ASST Spedali Civili, Brescia, Italy
| | - Kiran Samra
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Institute of Neurology, London, UK
| | - Lucy L Russell
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Institute of Neurology, London, UK
| | - Caroline V Greaves
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Institute of Neurology, London, UK
| | - Martina Bocchetta
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Institute of Neurology, London, UK
| | - Simon Ducharme
- Department of Psychiatry, Douglas Mental Health University Institute and Douglas Research Centre, McGill University, Montreal, Québec, Canada.,McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, Québec, Canada
| | - Elizabeth Finger
- Department of Clinical Neurological Sciences, University of Western Ontario, London, Ontario, Canada
| | - Giorgio Fumagalli
- Fondazione Ca' Granda, IRCCS Ospedale Policlinico, Milan, Italy.,University of Milan, Milan, Italy
| | - Daniela Galimberti
- Fondazione Ca' Granda, IRCCS Ospedale Policlinico, Milan, Italy.,University of Milan, Milan, Italy
| | - Lize C Jiskoot
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Institute of Neurology, London, UK.,Department of Neurology, Erasmus Medical Centre, Rotterdam, the Netherlands
| | - Isabelle Le Ber
- Paris Brain Institute - Institut du Cerveau - ICM, Sorbonne Université, Inserm U1127, CNRS UMR, Paris, France.,Centre de référence des démences rares ou précoces, IM2A, Département de Neurologie, AP-HP - Hôpital Pitié-Salpêtrière, Paris, France.,Département de Neurologie, AP-HP - Hôpital Pitié-Salpêtrière, Paris, France.,Reference Network for Rare Neurological Diseases (ERN-RND), Paris, France
| | - Mario Masellis
- Sunnybrook Health Sciences Centre, Sunnybrook Research Institute, University of Toronto, Toronto, Ontario, Canada
| | - Benedetta Nacmias
- Department of Neuroscience, Psychology, Drug Research and Child Health, University of Florence, and IRCCS Fondazione Don Carlo Gnocchi, Florence, Italy
| | - James B Rowe
- Department of Clinical Neurosciences, MRC Cognition and Brain Sciences Unit and Cambridge University Hospitals NHS Trust, University of Cambridge, Cambridge, UK
| | - Raquel Sanchez-Valle
- Alzheimer's Disease and Other Cognitive Disorders Unit, Neurology Service, Hospital Clínic, Institut d'Investigacións Biomèdiques August Pi I Sunyer, University of Barcelona, Barcelona, Spain
| | - Harro Seelaar
- Department of Neurology, Erasmus Medical Centre, Rotterdam, the Netherlands
| | - Matthis Synofzik
- Department of Neurodegenerative Diseases, Hertie-Institute for Clinical Brain Research and Center of Neurology, University of Tübingen, Tübingen, Germany.,Center for Neurodegenerative Diseases (DZNE), Tübingen, Germany
| | | | - Jonathan D Rohrer
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Institute of Neurology, London, UK
| | - Barbara Borroni
- Neurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy.,Neurology Unit, Department of Neurological and Vision Sciences, ASST Spedali Civili, Brescia, Italy
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24
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Querin G, Grazia Biferi M, Pradat PF. Biomarkers for C9orf7-ALS in Symptomatic and Pre-symptomatic Patients: State-of-the-art in the New Era of Clinical Trials. J Neuromuscul Dis 2021; 9:25-37. [PMID: 34864683 PMCID: PMC8842771 DOI: 10.3233/jnd-210754] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
The development of new possible treatments for C9orf72-related ALS and the possibility of early identification of subjects genetically at risk of developing the disease is creating a critical need for biomarkers to track neurodegeneration that could be used as outcome measures in clinical trials. Current candidate biomarkers in C9orf72-ALS include neuropsychology tests, imaging, electrophysiology as well as different circulating biomarkers. Neuropsychology tests show early executive and verbal function involvement both in symptomatic and asymptomatic mutation carriers. At brain MRI, C9orf72-ALS patients present diffuse white and grey matter degeneration, which are already identified up to 20 years before symptom onset and that seem to be slowly progressive over time, while regions of altered connectivity at fMRI and of hypometabolism at [18F]FDG PET have been described as well. At the same time, spinal cord MRI has also shown progressive decrease of FA in the cortico-spinal tract over time. On the side of wet biomarkers, neurofilament proteins are increased both in the CSF and serum just before symptom onset and tend to slowly increase over time, while poly(GP) protein can be detected in the CSF and probably used as target engagement marker in clinical trials.
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Affiliation(s)
- Giorgia Querin
- Institut de Myologie, I-Motion Adult ClinicalTrials Platform, Hôpital Pitié-Salpêtrière, Paris, France.,APHP, Centre de référence desmaladies neuromusculaires Nord/Est/Ile de France, HôpitalPitié-Salpêtrière, Paris, France
| | - Maria Grazia Biferi
- Sorbonne Université, Inserm UMRS974, Centre of Research in Myology (CRM), Institut de Myologie, GH PitiéSalpêtrière, Paris, France
| | - Pierre-Francois Pradat
- APHP, Département de Neurologie, Centre Référent SLA, Hôpital Pitié-Salpêtrière, Paris, France.,Laboratoire d'Imagerie Biomédicale, CNRS, INSERM, Sorbonne Université, Paris, France.,Northern Ireland Centre for Stratified Medicine, Biomedical Sciences Research Institute Ulster University, C-TRIC, Altnagelvin Hospital, Londonderry, United Kingdom
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25
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Bocchetta M, Malpetti M, Todd EG, Rowe JB, Rohrer JD. Looking beneath the surface: the importance of subcortical structures in frontotemporal dementia. Brain Commun 2021; 3:fcab158. [PMID: 34458729 PMCID: PMC8390477 DOI: 10.1093/braincomms/fcab158] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/21/2021] [Indexed: 12/15/2022] Open
Abstract
Whilst initial anatomical studies of frontotemporal dementia focussed on cortical involvement, the relevance of subcortical structures to the pathophysiology of frontotemporal dementia has been increasingly recognized over recent years. Key structures affected include the caudate, putamen, nucleus accumbens, and globus pallidus within the basal ganglia, the hippocampus and amygdala within the medial temporal lobe, the basal forebrain, and the diencephalon structures of the thalamus, hypothalamus and habenula. At the most posterior aspect of the brain, focal involvement of brainstem and cerebellum has recently also been shown in certain subtypes of frontotemporal dementia. Many of the neuroimaging studies on subcortical structures in frontotemporal dementia have been performed in clinically defined sporadic cases. However, investigations of genetically- and pathologically-confirmed forms of frontotemporal dementia are increasingly common and provide molecular specificity to the changes observed. Furthermore, detailed analyses of sub-nuclei and subregions within each subcortical structure are being added to the literature, allowing refinement of the patterns of subcortical involvement. This review focuses on the existing literature on structural imaging and neuropathological studies of subcortical anatomy across the spectrum of frontotemporal dementia, along with investigations of brain–behaviour correlates that examine the cognitive sequelae of specific subcortical involvement: it aims to ‘look beneath the surface’ and summarize the patterns of subcortical involvement have been described in frontotemporal dementia.
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Affiliation(s)
- Martina Bocchetta
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Maura Malpetti
- Department of Clinical Neurosciences and Cambridge University Hospitals NHS Trust, University of Cambridge, Cambridge, UK
| | - Emily G Todd
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - James B Rowe
- Department of Clinical Neurosciences and Cambridge University Hospitals NHS Trust, University of Cambridge, Cambridge, UK.,Medical Research Council Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, UK
| | - Jonathan D Rohrer
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, University College London, London, UK
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Insights into the Pathophysiology of Psychiatric Symptoms in Central Nervous System Disorders: Implications for Early and Differential Diagnosis. Int J Mol Sci 2021; 22:ijms22094440. [PMID: 33922780 PMCID: PMC8123079 DOI: 10.3390/ijms22094440] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2021] [Revised: 04/16/2021] [Accepted: 04/21/2021] [Indexed: 12/12/2022] Open
Abstract
Different psychopathological manifestations, such as affective, psychotic, obsessive-compulsive symptoms, and impulse control disturbances, may occur in most central nervous system (CNS) disorders including neurodegenerative and neuroinflammatory diseases. Psychiatric symptoms often represent the clinical onset of such disorders, thus potentially leading to misdiagnosis, delay in treatment, and a worse outcome. In this review, psychiatric symptoms observed along the course of several neurological diseases, namely Alzheimer’s disease, fronto-temporal dementia, Parkinson’s disease, Huntington’s disease, and multiple sclerosis, are discussed, as well as the involved brain circuits and molecular/synaptic alterations. Special attention has been paid to the emerging role of fluid biomarkers in early detection of these neurodegenerative diseases. The frequent occurrence of psychiatric symptoms in neurological diseases, even as the first clinical manifestations, should prompt neurologists and psychiatrists to share a common clinico-biological background and a coordinated diagnostic approach.
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Caga J, Tu S, Dharmadasa T, Tse NY, Zoing MC, Huynh W, Mahoney C, Ahmed RM, Kiernan MC. Apathy is associated with parietal cortical-subcortical dysfunction in ALS. Cortex 2021; 145:341-349. [PMID: 33867121 DOI: 10.1016/j.cortex.2021.02.029] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2020] [Revised: 01/27/2021] [Accepted: 02/28/2021] [Indexed: 12/15/2022]
Abstract
Apathy is the core behavioural feature of frontotemporal dysfunction in amyotrophic lateral sclerosis (ALS). Initiation and emotional manifestations of apathy significantly affect patients and carers, particularly in terms of quality of life. As such, the primary aim of the present study was to investigate the prevalence and neural correlates of initiation, and emotional subtypes of apathy in ALS. A total of 109 participants were recruited from a specialised, tertiary referral ALS/FTD clinic. Overall rates of apathy, including cognitive, initiation and emotion subtypes as assessed by the Dimensional Apathy Scale (DAS), were examined and correlated with brain volumes, including voxel-based morphometry on high resolution MRI. Clinically significant apathy ranged between 49% (patient-rated DAS) and 64% (carer-rated DAS), with the most common apathy subtypes being initiation (84-96%) and emotional (74-75%) apathy. The results of the two-way repeated measures ANOVA revealed significant differences across the DAS executive, emotional and initiation subscales (p = .0001). Multivariate analysis using a logistic regression model showed that only initiation; (odds ratio = 3.08, p = .004) and emotional (odds ratio = 2.40, p = .008) apathy were predictive of clinically significant apathy, controlling for education and depression. Increased initiation apathy correlated with reduced grey matter within bilateral superior frontal gyrus and increased emotional apathy correlated with reduced grey matter in prefrontal cortices and right anterior cingulate, previously implicated in apathy. Additional correlations were identified including the angular gyrus (or the temporo-parietal junction), important in reward valuation and subsequent goal-directed behaviour. Taken together, results from the present series highlight the frequency and multi-dimensionality of apathy in ALS. The pathophysiological mechanisms of apathy in ALS may be critically underpinned by neurodegeneration across a distributed brain network, with key roles in task initiation, emotion, reward processing and subsequent goal-directed behaviour.
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Affiliation(s)
- Jashelle Caga
- Brain & Mind Centre, University of Sydney, NSW, Australia; Faculty of Medicine and Health, University of Sydney, NSW, Australia.
| | - Sicong Tu
- Brain & Mind Centre, University of Sydney, NSW, Australia; Faculty of Medicine and Health, University of Sydney, NSW, Australia.
| | - Thanuja Dharmadasa
- Brain & Mind Centre, University of Sydney, NSW, Australia; Faculty of Medicine and Health, University of Sydney, NSW, Australia.
| | - Nga Y Tse
- Brain & Mind Centre, University of Sydney, NSW, Australia; Faculty of Medicine and Health, University of Sydney, NSW, Australia.
| | - Margaret C Zoing
- Brain & Mind Centre, University of Sydney, NSW, Australia; Faculty of Medicine and Health, University of Sydney, NSW, Australia.
| | - William Huynh
- Brain & Mind Centre, University of Sydney, NSW, Australia; Prince of Wales Clinical School, University of New South Wales, Sydney, Australia.
| | - Colin Mahoney
- Brain & Mind Centre, University of Sydney, NSW, Australia; Faculty of Medicine and Health, University of Sydney, NSW, Australia.
| | - Rebekah M Ahmed
- Brain & Mind Centre, University of Sydney, NSW, Australia; Faculty of Medicine and Health, University of Sydney, NSW, Australia; Department of Neurology, Royal Prince Alfred Hospital, Sydney, NSW, Australia.
| | - Matthew C Kiernan
- Brain & Mind Centre, University of Sydney, NSW, Australia; Faculty of Medicine and Health, University of Sydney, NSW, Australia; Department of Neurology, Royal Prince Alfred Hospital, Sydney, NSW, Australia.
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Kwon CY, Lee B. Prevalence of Behavioral and Psychological Symptoms of Dementia in Community-Dwelling Dementia Patients: A Systematic Review. Front Psychiatry 2021; 12:741059. [PMID: 34744832 PMCID: PMC8566725 DOI: 10.3389/fpsyt.2021.741059] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/14/2021] [Accepted: 09/22/2021] [Indexed: 11/25/2022] Open
Abstract
Background: Identifying the characteristics of behavioral and psychological symptoms of dementia (BPSD) associated with different dementia types may be a promising strategy to effectively deal with BPSD. We aimed to synthesize the prevalence rates of BPSD characteristics in community-dwelling dementia patients. Methods: We searched Medline, EMBASE, and PsycARTICLES databases for original clinical studies published until December 2020 that enrolled at least 300 community-dwelling dementia patients. The methodological qualities of prevalence studies were assessed using the Joanna Briggs Institute's critical appraisal checklist. Results: Thirty studies were included. The prevalence of the BPSD characteristic ranged from 4 (elation and mania) to 32% (apathy) in the pooled samples. The prevalence of delusions, anxiety, apathy, irritability, elation and mania, and aberrant motor behavior in Alzheimer's disease patients was 1.72-2.88 times greater than that in vascular dementia (VD) patients, while the prevalence of disinhibition in VD patients was 1.38 times greater. The prevalence of anxiety, irritability, and agitation and aggression, delusion, hallucinations, apathy, disinhibition, and aberrant motor behavior tended to increase as the severity of dementia increased, while that of depression, eating disorder, sleep disorders, and elation and mania tended to stable. In community-dwelling patients with dementia, the pooled prevalence of apathy, depression, anxiety, irritability, agitation and aggression, sleep disorders, and eating disorder was higher than 20%, while that of disinhibition and elation and mania was lower than 10%. Conclusion: Overall, the pooled prevalence of apathy, depression, anxiety, irritability, agitation and aggression, sleep disorders, and eating disorder was generally high in patients with dementia. Also, the prevalence of some BPSD characteristics differed according to the type and the severity of dementia. The methodological quality of the included studies is not the best, and high heterogeneity may affect the certainty of the findings. However, the results of this review can deepen our understanding of the prevalence of BPSD. Systematic Review Registration: https://osf.io/dmj7k, identifier: 10.17605/OSF.IO/DMJ7K.
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Affiliation(s)
- Chan-Young Kwon
- Department of Oriental Neuropsychiatry, Dong-eui University College of Korean Medicine, Busan, South Korea
| | - Boram Lee
- Clinical Research Coordinating Team, Korea Institute of Oriental Medicine, Daejeon, South Korea
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Malpetti M, Jones PS, Tsvetanov KA, Rittman T, van Swieten JC, Borroni B, Sanchez-Valle R, Moreno F, Laforce R, Graff C, Synofzik M, Galimberti D, Masellis M, Tartaglia MC, Finger E, Vandenberghe R, de Mendonça A, Tagliavini F, Santana I, Ducharme S, Butler CR, Gerhard A, Levin J, Danek A, Otto M, Frisoni GB, Ghidoni R, Sorbi S, Heller C, Todd EG, Bocchetta M, Cash DM, Convery RS, Peakman G, Moore KM, Rohrer JD, Kievit RA, Rowe JB, Genfi GFI. Apathy in presymptomatic genetic frontotemporal dementia predicts cognitive decline and is driven by structural brain changes. Alzheimers Dement 2020; 17:969-983. [PMID: 33316852 PMCID: PMC8247340 DOI: 10.1002/alz.12252] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2020] [Revised: 10/15/2020] [Accepted: 11/03/2020] [Indexed: 12/31/2022]
Abstract
Introduction Apathy adversely affects prognosis and survival of patients with frontotemporal dementia (FTD). We test whether apathy develops in presymptomatic genetic FTD, and is associated with cognitive decline and brain atrophy. Methods Presymptomatic carriers of MAPT, GRN or C9orf72 mutations (N = 304), and relatives without mutations (N = 296) underwent clinical assessments and MRI at baseline, and annually for 2 years. Longitudinal changes in apathy, cognition, gray matter volumes, and their relationships were analyzed with latent growth curve modeling. Results Apathy severity increased over time in presymptomatic carriers, but not in non‐carriers. In presymptomatic carriers, baseline apathy predicted cognitive decline over two years, but not vice versa. Apathy progression was associated with baseline low gray matter volume in frontal and cingulate regions. Discussion Apathy is an early marker of FTD‐related changes and predicts a subsequent subclinical deterioration of cognition before dementia onset. Apathy may be a modifiable factor in those at risk of FTD.
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Affiliation(s)
- Maura Malpetti
- Department of Clinical Neurosciences, Cambridge University Hospitals NHS Trust, University of Cambridge, Cambridge, UK
| | - P Simon Jones
- Department of Clinical Neurosciences, Cambridge University Hospitals NHS Trust, University of Cambridge, Cambridge, UK
| | - Kamen A Tsvetanov
- Department of Clinical Neurosciences, Cambridge University Hospitals NHS Trust, University of Cambridge, Cambridge, UK
| | - Timothy Rittman
- Department of Clinical Neurosciences, Cambridge University Hospitals NHS Trust, University of Cambridge, Cambridge, UK
| | | | - Barbara Borroni
- Department of Clinical and Experimental Sciences, Centre for Neurodegenerative Disorders, University of Brescia, Brescia, Italy
| | - Raquel Sanchez-Valle
- Alzheimer's disease and Other Cognitive Disorders Unit, Neurology Service, Hospital Clínic, Institut d'Investigacións Biomèdiques August Pi I Sunyer, University of Barcelona, Barcelona, Spain
| | - Fermin Moreno
- Department of Neurology, Cognitive Disorders Unit, Donostia Universitary Hospital, San Sebastian, Spain.,Neuroscience Area, Biodonostia Health Research Institute, San Sebastian, Gipuzkoa, Spain
| | - Robert Laforce
- Clinique Interdisciplinaire de Mémoire, Département des Sciences Neurologiques, CHU de Québec, Faculté de Médecine, Université Laval, Québec, Canada
| | - Caroline Graff
- Department of Neurobiology Care Sciences and Society, Center for Alzheimer Research, Division of Neurogeriatrics, Bioclinicum, Karolinska Institutet, Solna, Sweden.,Unit for Hereditary Dementias, Theme Aging, Karolinska University Hospital, Solna, Sweden
| | - Matthis Synofzik
- Department of Neurodegenerative Diseases, Hertie-Institute for Clinical Brain Research and Center of Neurology, University of Tübingen, Tübingen, Germany.,Center for Neurodegenerative Diseases (DZNE), Tübingen, Germany
| | - Daniela Galimberti
- Fondazione Ca' Granda, IRCCS Ospedale Policlinico, Milan, Italy.,Centro Dino Ferrari, University of Milan, Milan, Italy
| | - Mario Masellis
- Sunnybrook Health Sciences Centre, Sunnybrook Research Institute, University of Toronto, Toronto, Canada
| | - Maria Carmela Tartaglia
- Tanz Centre for Research in Neurodegenerative Diseases, University of Toronto, Toronto, Ontario, Canada
| | - Elizabeth Finger
- Department of Clinical Neurological Sciences, University of Western Ontario, London, Ontario, Canada
| | - Rik Vandenberghe
- Department of Neurosciences, Laboratory for Cognitive Neurology, KU Leuven, Leuven, Belgium.,Neurology Service, University Hospitals Leuven, Leuven, Belgium.,KU Leuven, Leuven Brain Institute, Leuven, Belgium
| | | | | | - Isabel Santana
- University Hospital of Coimbra (HUC), Neurology Service, Faculty of Medicine, University of Coimbra, Coimbra, Portugal.,Center for Neuroscience and Cell Biology, Faculty of Medicine, University of Coimbra, Coimbra, Portugal
| | - Simon Ducharme
- Department of Psychiatry, McGill University Health Centre, McGill University, Montreal, Québec, Canada.,McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, Québec, Canada
| | - Chris R Butler
- Nuffield Department of Clinical Neurosciences, Medical Sciences Division, University of Oxford, Oxford, UK
| | - Alexander Gerhard
- Division of Neuroscience and Experimental Psychology, Wolfson Molecular Imaging Centre, University of Manchester, Manchester, UK.,Departments of Geriatric Medicine and Nuclear Medicine, University of Duisburg- Essen, Duisburg, Germany
| | - Johannes Levin
- Department of Neurology, Ludwig-Maximilians Universität München, Munich, Germany.,German Center for Neurodegenerative Diseases (DZNE), Munich, Germany.,Munich Cluster of Systems Neurology (SyNergy), Munich, Germany
| | - Adrian Danek
- Department of Neurology, Ludwig-Maximilians Universität München, Munich, Germany
| | - Markus Otto
- Department of Neurology, University of Ulm, Ulm, Germany
| | | | - Roberta Ghidoni
- Molecular Markers Laboratory, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy
| | - Sandro Sorbi
- Department of Neuroscience Psychology Drug Research and Child Health, University of Florence, Florence, Italy.,IRCCS Fondazione Don Carlo Gnocchi, Florence, Italy
| | - Carolin Heller
- Department of Neurodegenerative Disease, Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Emily G Todd
- Department of Neurodegenerative Disease, Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Martina Bocchetta
- Department of Neurodegenerative Disease, Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - David M Cash
- Department of Neurodegenerative Disease, Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Rhian S Convery
- Department of Neurodegenerative Disease, Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Georgia Peakman
- Department of Neurodegenerative Disease, Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Katrina M Moore
- Department of Neurodegenerative Disease, Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Jonathan D Rohrer
- Department of Neurodegenerative Disease, Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Rogier A Kievit
- MRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, UK.,Cognitive Neuroscience Department, Donders Institute for Brain Cognition and Behavior, Radboud University Medical Center, Nijmegen, Netherlands
| | - James B Rowe
- Department of Clinical Neurosciences, Cambridge University Hospitals NHS Trust, University of Cambridge, Cambridge, UK.,MRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, UK
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