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Webber TA, Woods SP, Lorkiewicz SA, Yazbeck HW, Schultz ER, Kiselica AM. Cognitive dispersion and its functional relevance in behavioral variant frontotemporal dementia and prodromal behavioral variant frontotemporal dementia. Neuropsychology 2024; 38:637-652. [PMID: 39207439 PMCID: PMC11449635 DOI: 10.1037/neu0000969] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/04/2024] Open
Abstract
OBJECTIVE Executive dysfunction is characteristic of behavioral variant frontotemporal dementia (bvFTD) but can be challenging to detect. Dispersion-based intraindividual variability (IIV-d) is hypothesized to reflect a sensitive index of executive dysfunction and has demonstrated relevance to functional decline but has not been evaluated in bvFTD. METHOD We report on 477 demographically matched participants (159 cognitively healthy [CH], 159 clinical Alzheimer's disease [AD], 159 clinical bvFTD/prodromal bvFTD) who completed the Uniform Data Set 3.0 Neuropsychological Battery. IIV-d was measured using the coefficient of variance (CoV; raw and demographically adjusted) across 12 Uniform Data Set 3.0 Neuropsychological Battery indicators and the informant-rated Functional Activities Questionnaire assessed daily functioning. RESULTS Analysis of covariance showed that participants in the bvFTD/prodromal bvFTD group exhibited higher raw and demographically adjusted CoV compared to CH participants, at a very large effect size (d = 1.28-1.47). Demographically adjusted (but not raw) CoV was lower in the bvFTD/prodromal bvFTD group than the AD group, though the effect size was small (d = .38). Both CoV metrics accurately differentiated the bvFTD/prodromal bvFTD and CH groups (areas under the curve = .84), but not bvFTD/prodromal bvFTD and AD groups (areas under the curve = .59). Regression analyses in the bvFTD/prodromal bvFTD group indicated that higher IIV-d on both metrics was associated with greater daily functioning impairment, over and above covariates. CONCLUSIONS Compared to healthy adults, individuals with bvFTD/prodromal bvFTD show greater levels of performance variability across a battery of neuropsychological measures, which interferes with everyday functioning. These data demonstrate the clinical utility and ecological validity of IIV-d in bvFTD/prodromal bvFTD, though these findings should be replicated in more diverse samples. (PsycInfo Database Record (c) 2024 APA, all rights reserved).
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Affiliation(s)
- Troy A. Webber
- Mental Health Care Line, Michael E. DeBakey VA Medical Center, Houston, Texas, United States
- Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine
- Department of Psychology, University of Houston
| | | | - Sara A. Lorkiewicz
- Mental Health Care Line, Michael E. DeBakey VA Medical Center, Houston, Texas, United States
| | - Holley W. Yazbeck
- Mental Health Care Line, Michael E. DeBakey VA Medical Center, Houston, Texas, United States
| | - Elaine R. Schultz
- Mental Health Care Line, Michael E. DeBakey VA Medical Center, Houston, Texas, United States
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Wang N, Xu H, West JS, Østbye T, Wu B, Xian Y, Dupre ME. Association between perceived risk of Alzheimer's disease and related dementias and cognitive function among U.S. older adults. Arch Gerontol Geriatr 2023; 115:105126. [PMID: 37494832 PMCID: PMC10615679 DOI: 10.1016/j.archger.2023.105126] [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: 04/26/2023] [Revised: 07/02/2023] [Accepted: 07/11/2023] [Indexed: 07/28/2023]
Abstract
INTRODUCTION The aim of the study was to assess factors associated with the perceived risk of developing Alzheimer's disease and related dementias (ADRD) and how the perceived risk of ADRD was related to cognitive function. METHODS We conducted a retrospective cohort study using 5 waves of data from the Health and Retirement Study (2012-2022) that included adults aged 65 years or older with no previous diagnosis of ADRD at baseline. Cognitive function was measured at baseline and over time using a summary score that included immediate/delayed word recall, serial 7's test, objective naming test, backwards counting, recall of the current date, and naming the president/vice-president (range = 0-35). Perceived risk of developing ADRD was categorized at baseline as "definitely not" (0% probability), "unlikely" (1-49%), "uncertain" (50%), and "more than likely" (>50-100%). Additional baseline measures included participants' sociodemographic background, psychosocial resources, health behaviors, physiological status, and healthcare utilization. RESULTS Of 1457 respondents (median age 74 [IQR = 69-80] and 59.8% women), individuals who perceived that they were "more than likely" to develop ADRD had more depressive symptoms and were more likely to be hospitalized in the past two years than individuals who indicated that it was "unlikely" they would develop ADRD. Alternatively, respondnets who perceived that they would "definitely not" develop ADRD were more likely to be non-Hispanic Black, less educated, and have lower income than individuals who indicated it was "unlikely" they would develop ADRD. Respondents who reported their risks of developing ADRD as "more than likely" (β = -2.10, P < 0.001) and "definitely not" (β = -1.50, P < 0.001) had the lowest levels of cognitive function; and the associations were explained in part by their socioeconomic, psychosocial, and health status. CONCLUSIONS Perceived risk of developing ADRD is associated with cognitive function. The (dis)concordance between individuals' perceived risk of ADRD and their cognitive function has important implications for increasing public awareness and developing interventions to prevent ADRD.
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Affiliation(s)
- Nan Wang
- Department of Public Health Sciences, School of Medicine, UC-Davis, CA, United States of America
| | - Hanzhang Xu
- Department of Family Medicine and Community Health, Duke University, Durham, NC, United States of America; Duke University School of Nursing, Duke University, Durham, NC, United States of America; Center for the Study of Aging and Human Development, Duke University, Durham, NC, United States of America.
| | - Jessica S West
- Center for the Study of Aging and Human Development, Duke University, Durham, NC, United States of America; Department of Population Health Sciences, Duke University, Durham, NC, United States of America
| | - Truls Østbye
- Department of Family Medicine and Community Health, Duke University, Durham, NC, United States of America; Duke University School of Nursing, Duke University, Durham, NC, United States of America; Center for the Study of Aging and Human Development, Duke University, Durham, NC, United States of America
| | - Bei Wu
- NYU Rory Meyers College of Nursing, New York, NY, United States of America
| | - Ying Xian
- Department of Neurology, UT Southwestern Medical Center, Dallas, TX, United States of America
| | - Matthew E Dupre
- Center for the Study of Aging and Human Development, Duke University, Durham, NC, United States of America; Department of Population Health Sciences, Duke University, Durham, NC, United States of America; Department of Sociology, Duke University, Durham, NC, United States of America
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Donato L, Mordà D, Scimone C, Alibrandi S, D'Angelo R, Sidoti A. How Many Alzheimer-Perusini's Atypical Forms Do We Still Have to Discover? Biomedicines 2023; 11:2035. [PMID: 37509674 PMCID: PMC10377159 DOI: 10.3390/biomedicines11072035] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2023] [Revised: 07/17/2023] [Accepted: 07/17/2023] [Indexed: 07/30/2023] Open
Abstract
Alzheimer-Perusini's (AD) disease represents the most spread dementia around the world and constitutes a serious problem for public health. It was first described by the two physicians from whom it took its name. Nowadays, we have extensively expanded our knowledge about this disease. Starting from a merely clinical and histopathologic description, we have now reached better molecular comprehension. For instance, we passed from an old conceptualization of the disease based on plaques and tangles to a more modern vision of mixed proteinopathy in a one-to-one relationship with an alteration of specific glial and neuronal phenotypes. However, no disease-modifying therapies are yet available. It is likely that the only way to find a few "magic bullets" is to deepen this aspect more and more until we are able to draw up specific molecular profiles for single AD cases. This review reports the most recent classifications of AD atypical variants in order to summarize all the clinical evidence using several discrimina (for example, post mortem neurofibrillary tangle density, cerebral atrophy, or FDG-PET studies). The better defined four atypical forms are posterior cortical atrophy (PCA), logopenic variant of primary progressive aphasia (LvPPA), behavioral/dysexecutive variant and AD with corticobasal degeneration (CBS). Moreover, we discuss the usefulness of such classifications before outlining the molecular-genetic aspects focusing on microglial activity or, more generally, immune system control of neuroinflammation and neurodegeneration.
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Affiliation(s)
- Luigi Donato
- Department of Biomedical and Dental Sciences and Morphofunctional Imaging, Division of Medical Biotechnologies and Preventive Medicine, University of Messina, Via Consolare Valeria 1, 98125 Messina, Italy
- Department of Biomolecular Strategies, Genetics, Cutting-Edge Therapies, Euro-Mediterranean Institute of Science and Technology, Via Michele Miraglia, 98139 Palermo, Italy
| | - Domenico Mordà
- Department of Biomedical and Dental Sciences and Morphofunctional Imaging, Division of Medical Biotechnologies and Preventive Medicine, University of Messina, Via Consolare Valeria 1, 98125 Messina, Italy
- Department of Biomolecular Strategies, Genetics, Cutting-Edge Therapies, Euro-Mediterranean Institute of Science and Technology, Via Michele Miraglia, 98139 Palermo, Italy
| | - Concetta Scimone
- Department of Biomedical and Dental Sciences and Morphofunctional Imaging, Division of Medical Biotechnologies and Preventive Medicine, University of Messina, Via Consolare Valeria 1, 98125 Messina, Italy
- Department of Biomolecular Strategies, Genetics, Cutting-Edge Therapies, Euro-Mediterranean Institute of Science and Technology, Via Michele Miraglia, 98139 Palermo, Italy
| | - Simona Alibrandi
- Department of Biomedical and Dental Sciences and Morphofunctional Imaging, Division of Medical Biotechnologies and Preventive Medicine, University of Messina, Via Consolare Valeria 1, 98125 Messina, Italy
- Department of Chemical, Biological, Pharmaceutical and Environmental Sciences, University of Messina, Viale Ferdinando Stagno D'Alcontres 31, 98166 Messina, Italy
| | - Rosalia D'Angelo
- Department of Biomedical and Dental Sciences and Morphofunctional Imaging, Division of Medical Biotechnologies and Preventive Medicine, University of Messina, Via Consolare Valeria 1, 98125 Messina, Italy
| | - Antonina Sidoti
- Department of Biomedical and Dental Sciences and Morphofunctional Imaging, Division of Medical Biotechnologies and Preventive Medicine, University of Messina, Via Consolare Valeria 1, 98125 Messina, Italy
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Ribas MZ, Paticcié GF, Noleto FM, Ramanzini LG, Veras ADO, Dall'Oglio R, Filho LBDA, Martins da Silva JG, Lima MPP, Teixeira BE, Nunes de Sousa G, Alves AFC, Vieira Lima LMF, Sallem CC, Garcia TFM, Ponte de Oliveira IM, Rocha RSDC, Jucá MDS, Barroso ST, Claudino Dos Santos JC. Impact of dysexecutive syndrome in quality of life in Alzheimer disease: What we know now and where we are headed. Ageing Res Rev 2023; 86:101866. [PMID: 36709886 DOI: 10.1016/j.arr.2023.101866] [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: 12/26/2022] [Revised: 01/18/2023] [Accepted: 01/25/2023] [Indexed: 01/27/2023]
Abstract
Alzheimer's disease (AD) is a common form of dementia that leads to multiple repercussions in the patient's life. This condition's clinical characteristics include loss of memory, temporal and spatial disorientation, language or executive dysfunction, and subsequent decline of social function. Dysexecutive syndrome (DS), the second most frequent neuropsychological dysfunction in AD, affects multiple brain areas and causes cognitive, behavioral, and emotional difficulties. We aimed to analyze the association between DS and AD and elucidate possible lack of evidence that may urge further research on this theme. Especially when dealing with such a disabling disease, where new findings can directly imply a better prognosis.
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Affiliation(s)
| | | | - Felipe Micelli Noleto
- Faculdade de Medicina, Centro Universitário Christus, UNICHRISTUS, Fortaleza, CE, Brazil
| | | | - Arthur de Oliveira Veras
- Hospital das Clínicas da Faculdade de Medicina de Ribeirão Preto, USP, Ribeirão Preto, SP, Brazil
| | - Renato Dall'Oglio
- Faculdade Evangélica Mackenzie do Paraná (FEMPAR), Curitiba, PR, Brazil
| | | | | | | | | | | | | | | | - Camilla Costa Sallem
- Faculdade de Medicina, Centro Universitário Christus, UNICHRISTUS, Fortaleza, CE, Brazil
| | - Tulia Fernanda Meira Garcia
- Escola Multicampi de Ciências Médicas do RN, Universidade Federal do Rio Grande do Norte (EMCM-UFRN), Caicó, RN, Brazil
| | | | | | - Mikaio de Sousa Jucá
- Faculdade de Medicina, Centro Universitário Christus, UNICHRISTUS, Fortaleza, CE, Brazil
| | - Sarah Távora Barroso
- Faculdade de Medicina, Centro Universitário Christus, UNICHRISTUS, Fortaleza, CE, Brazil
| | - Júlio César Claudino Dos Santos
- Faculdade de Medicina, Centro Universitário Christus, UNICHRISTUS, Fortaleza, CE, Brazil; Universidade Federal de São Paulo, São Paulo, SP, Brazil.
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Qian J, Zhang Y, Betensky RA, Hyman BT, Serrano-Pozo A. Neuropathology-Independent Association Between APOE Genotype and Cognitive Decline Rate in the Normal Aging-Early Alzheimer Continuum. Neurol Genet 2023; 9:e200055. [PMID: 36698453 PMCID: PMC9869750 DOI: 10.1212/nxg.0000000000200055] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2022] [Accepted: 11/16/2022] [Indexed: 01/22/2023]
Abstract
Background and Objectives We previously found that the APOE genotype affects the rate of cognitive decline in mild-to-moderate Alzheimer disease (AD) dementia independently of its effects on AD neuropathologic changes (ADNC) and copathologies. In this study, we tested the hypothesis that the APOE alleles differentially affect the rate of cognitive decline at the normal aging-early AD continuum and that this association is independent of their effects on classical ADNC and copathologies. Methods We analyzed APOE associations with the cognitive trajectories (Clinical Dementia Rating scale Sum of Boxes [CDR-SOB] and Mini-Mental State Examination [MMSE]) of more than 1,000 individuals from a national clinicopathologic sample who had either no, mild (sparse neuritic plaques and the Braak neurofibrillary tangle [NFT] stage I/II), or intermediate (moderate neuritic plaques and the Braak NFT stage III/IV) ADNC levels at autopsy via 2 latent classes reverse-time longitudinal modeling. Results Carrying the APOEε4 allele was associated with a faster rate of cognitive decline by both CDR-SOB and MMSE relative to APOEε3 homozygotes. This association remained statistically significant after adjusting for ADNC severity, comorbid pathologies, and the effects of ADNC on the slope of cognitive decline. Our modeling strategy identified 2 latent classes in which APOEε4 carriers declined faster than APOEε3 homozygotes, with latent class 1 members representing slow decliners (CDR-SOB: 76.7% of individuals, 0.195 vs 0.146 points/y in APOEε4 vs APOEε3/ε3; MMSE: 88.6% of individuals, -0.303 vs -0.153 points/y in APOEε4 vs APOEε3/ε3), whereas latent class 2 members were fast decliners (CDR-SOB: 23.3% of participants, 1.536 vs 1.487 points/y in APOEε4 vs APOEε3/ε3; MMSE: 11.4% of participants, -2.538 vs -2.387 points/y in APOEε4 vs APOEε3/ε3). Compared with slow decliners, fast decliners were more likely to carry the APOEε4 allele, younger at initial visit and death, more impaired at initial and last visits, and more likely to have intermediate (vs none or mild) ADNC levels, as well as concurrent Lewy bodies and hippocampal sclerosis at autopsy. Discussion In a large national sample selected to represent the normal aging-early AD continuum, the APOEε4 allele is associated with a modest but statistically significant acceleration of the cognitive decline rate even after controlling for its effects on ADNC and comorbid pathologies.
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Affiliation(s)
- Jing Qian
- University of Massachusetts School of Public Health & Health Sciences (J.Q., Y.Z.), Amherst; Massachusetts General Hospital Biostatistics Center (J.Q.), Boston; New York University School of Global Public Health (R.A.B.); New York University Alzheimer's Disease Research Center (R.A.B.); Massachusetts General Hospital Neurology Department (B.T.H., A.S.-P.), Boston; Massachusetts Alzheimer's Disease Research Center (B.T.H., A.S.-P.), Charlestown; and Harvard Medical School (B.T.H., A.S.-P.), Boston, MA
| | - Yiding Zhang
- University of Massachusetts School of Public Health & Health Sciences (J.Q., Y.Z.), Amherst; Massachusetts General Hospital Biostatistics Center (J.Q.), Boston; New York University School of Global Public Health (R.A.B.); New York University Alzheimer's Disease Research Center (R.A.B.); Massachusetts General Hospital Neurology Department (B.T.H., A.S.-P.), Boston; Massachusetts Alzheimer's Disease Research Center (B.T.H., A.S.-P.), Charlestown; and Harvard Medical School (B.T.H., A.S.-P.), Boston, MA
| | - Rebecca A Betensky
- University of Massachusetts School of Public Health & Health Sciences (J.Q., Y.Z.), Amherst; Massachusetts General Hospital Biostatistics Center (J.Q.), Boston; New York University School of Global Public Health (R.A.B.); New York University Alzheimer's Disease Research Center (R.A.B.); Massachusetts General Hospital Neurology Department (B.T.H., A.S.-P.), Boston; Massachusetts Alzheimer's Disease Research Center (B.T.H., A.S.-P.), Charlestown; and Harvard Medical School (B.T.H., A.S.-P.), Boston, MA
| | - Bradley T Hyman
- University of Massachusetts School of Public Health & Health Sciences (J.Q., Y.Z.), Amherst; Massachusetts General Hospital Biostatistics Center (J.Q.), Boston; New York University School of Global Public Health (R.A.B.); New York University Alzheimer's Disease Research Center (R.A.B.); Massachusetts General Hospital Neurology Department (B.T.H., A.S.-P.), Boston; Massachusetts Alzheimer's Disease Research Center (B.T.H., A.S.-P.), Charlestown; and Harvard Medical School (B.T.H., A.S.-P.), Boston, MA
| | - Alberto Serrano-Pozo
- University of Massachusetts School of Public Health & Health Sciences (J.Q., Y.Z.), Amherst; Massachusetts General Hospital Biostatistics Center (J.Q.), Boston; New York University School of Global Public Health (R.A.B.); New York University Alzheimer's Disease Research Center (R.A.B.); Massachusetts General Hospital Neurology Department (B.T.H., A.S.-P.), Boston; Massachusetts Alzheimer's Disease Research Center (B.T.H., A.S.-P.), Charlestown; and Harvard Medical School (B.T.H., A.S.-P.), Boston, MA
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Perez SD, Phillips JS, Norise C, Kinney NG, Vaddi P, Halpin A, Rascovsky K, Irwin DJ, McMillan CT, Xie L, Wisse LE, Yushkevich PA, Kallogjeri D, Grossman M, Cousins KA. Neuropsychological and Neuroanatomical Features of Patients with Behavioral/Dysexecutive Variant Alzheimer’s disease (AD): A Comparison to Behavioral Variant Frontotemporal Dementia and Amnestic AD Groups. J Alzheimers Dis 2022; 89:641-658. [PMID: 35938245 PMCID: PMC10117623 DOI: 10.3233/jad-215728] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Background: An understudied variant of Alzheimer’s disease (AD), the behavioral/dysexecutive variant of AD (bvAD), is associated with progressive personality, behavior, and/or executive dysfunction and frontal atrophy. Objective: This study characterizes the neuropsychological and neuroanatomical features associated with bvAD by comparing it to behavioral variant frontotemporal dementia (bvFTD), amnestic AD (aAD), and subjects with normal cognition. Methods: Subjects included 16 bvAD, 67 bvFTD, and 18 aAD patients, and 26 healthy controls. Neuropsychological assessment and MRI data were compared between these groups. Results: Compared to bvFTD, bvAD showed more significant visuospatial impairments (Rey Figure copy and recall), more irritability (Neuropsychological Inventory), and equivalent verbal memory (Philadelphia Verbal Learning Test). Compared to aAD, bvAD indicated more executive dysfunction (F-letter fluency) and better visuospatial performance. Neuroimaging analysis found that bvAD showed cortical thinning relative to bvFTD posteriorly in left temporal-occipital regions; bvFTD had cortical thinning relative to bvAD in left inferior frontal cortex. bvAD had cortical thinning relative to aAD in prefrontal and anterior temporal regions. All patient groups had lower volumes than controls in both anterior and posterior hippocampus. However, bvAD patients had higher average volume than aAD patients in posterior hippocampus and higher volume than bvFTD patients in anterior hippocampus after adjustment for age and intracranial volume. Conclusion: Findings demonstrated that underlying pathology mediates disease presentation in bvAD and bvFTD.
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Affiliation(s)
- Sophia Dominguez Perez
- Penn Frontotemporal Degeneration Center (FTDC), University of Pennsylvania, Philadelphia, PA, USA
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Department of Psychological Sciences, University of Connecticut, Storrs, CT, USA
| | - Jeffrey S. Phillips
- Penn Frontotemporal Degeneration Center (FTDC), University of Pennsylvania, Philadelphia, PA, USA
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Catherine Norise
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Nikolas G. Kinney
- Penn Frontotemporal Degeneration Center (FTDC), University of Pennsylvania, Philadelphia, PA, USA
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Prerana Vaddi
- Penn Frontotemporal Degeneration Center (FTDC), University of Pennsylvania, Philadelphia, PA, USA
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Amy Halpin
- Penn Frontotemporal Degeneration Center (FTDC), University of Pennsylvania, Philadelphia, PA, USA
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Department of Psychology, University of Maine, Orono, ME, USA
| | - Katya Rascovsky
- Penn Frontotemporal Degeneration Center (FTDC), University of Pennsylvania, Philadelphia, PA, USA
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - David J. Irwin
- Penn Frontotemporal Degeneration Center (FTDC), University of Pennsylvania, Philadelphia, PA, USA
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Department of Pathology and Laboratory Medicine, Center for Neurodegenerative Disease Research, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Corey T. McMillan
- Penn Frontotemporal Degeneration Center (FTDC), University of Pennsylvania, Philadelphia, PA, USA
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Long Xie
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Penn Image Computing and Science Lab & Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Laura E.M. Wisse
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Penn Image Computing and Science Lab & Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Department of Diagnostic Radiology, Lund University, Lund, Sweden
| | - Paul A. Yushkevich
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Penn Image Computing and Science Lab & Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Dorina Kallogjeri
- Department of Otolaryngology, Washington University, St. Louis, MO, USA
| | - Murray Grossman
- Penn Frontotemporal Degeneration Center (FTDC), University of Pennsylvania, Philadelphia, PA, USA
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Katheryn A.Q. Cousins
- Penn Frontotemporal Degeneration Center (FTDC), University of Pennsylvania, Philadelphia, PA, USA
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
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Pini L, Wennberg AM, Salvalaggio A, Vallesi A, Pievani M, Corbetta M. Breakdown of specific functional brain networks in clinical variants of Alzheimer's disease. Ageing Res Rev 2021; 72:101482. [PMID: 34606986 DOI: 10.1016/j.arr.2021.101482] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2021] [Revised: 09/24/2021] [Accepted: 09/29/2021] [Indexed: 02/07/2023]
Abstract
Alzheimer's disease (AD) is characterized by different clinical entities. Although AD phenotypes share a common molecular substrate (i.e., amyloid beta and tau accumulation), several clinicopathological differences exist. Brain functional networks might provide a macro-scale scaffolding to explain this heterogeneity. In this review, we summarize the evidence linking different large-scale functional network abnormalities to distinct AD phenotypes. Specifically, executive deficits in early-onset AD link with the dysfunction of networks that support sustained attention and executive functions. Posterior cortical atrophy relates to the breakdown of visual and dorsal attentional circuits, while the primary progressive aphasia variant of AD may be associated with the dysfunction of the left-lateralized language network. Additionally, network abnormalities might provide in vivo signatures for distinguishing proteinopathies that mimic AD, such as TAR DNA binding protein 43 related pathologies. These network differences vis-a-vis clinical syndromes are more evident in the earliest stage of AD. Finally, we discuss how these findings might pave the way for new tailored interventions targeting the most vulnerable brain circuit at the optimal time window to maximize clinical benefits.
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Blenkinsop A, van der Flier WM, Wolk D, Lehmann M, Howard R, Frost C, Barnes J. Non-memory cognitive symptom development in Alzheimer's disease. Eur J Neurol 2020; 27:995-1002. [PMID: 32078209 PMCID: PMC10124327 DOI: 10.1111/ene.14185] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2019] [Accepted: 02/17/2020] [Indexed: 12/22/2022]
Abstract
BACKGROUND AND PURPOSE Memory is known to be the most common first symptom in Alzheimer's disease (AD). Assessing non-memory cognitive symptom development in AD is important for understanding disease progression and the potential identification of treatment-responsive subtypes. METHODS Data from the National Alzheimer's Coordinating Center were examined. Logistic regression models were fitted evaluating the development of judgement, language, visuospatial and attention symptoms at first and second visits to Alzheimer's Disease Centers. Predictors were age and prior symptoms, adjusting for symptom length and sex. The models were then refitted assessing apolipoprotein E ε4 (APOE-ε4) effects. RESULTS Each decade reduction in presentation age increased the odds of language, visuospatial and attention symptom development at both visits by 8%-18% (P < 0.05, all tests), and judgement symptoms at the second visit by 13% (P < 0.05). Prior symptoms were not equally predictive of symptom development. For example, having first predominant language symptoms carried the lowest risk of developing other first-visit symptoms and having memory symptoms was a stronger predictor of developing judgement than other symptoms. The APOE-ε4 gene showed little impact on symptom development when included as a predictor. CONCLUSIONS Our findings provide support for the concept that younger-onset AD is associated with the progressive development of more non-memory symptoms beyond the first time point. Associations between symptoms were evident, which may reflect that pathology can remain isolated in a network for some time. APOE-ε4 status had little influence on cognitive symptom development which may indicate that the effect it has occurs very early in the disease course.
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Affiliation(s)
- Alexandra Blenkinsop
- Institute of Clinical Trials & Methodology, University College London, 90 High Holborn, London, WC1V 6LJ
| | - Wiesje M. van der Flier
- Alzheimer Center, Department of Neurology, Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, the Netherlands
- Department of Epidemiology & Biostatistics, Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, the Netherlands
| | - David Wolk
- Penn Memory Center, Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA
| | - Manja Lehmann
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Institute of Neurology, Box 16, National Hospital for Neurology and Neurosurgery, Queen Square, London, WC1N 3BG
| | - Robert Howard
- Division of Psychiatry, 149 Tottenham Court Road, University College London, UK W1T 7NF
| | - Chris Frost
- Department of Medical Statistics, London School of Hygiene and Tropical Medicine, Keppel Street, London, WC1E 7HT
| | - Josephine Barnes
- Dementia Research Centre, Department of Neurodegenerative Disease, UCL Institute of Neurology, Box 16, National Hospital for Neurology and Neurosurgery, Queen Square, London, WC1N 3BG
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Misiura MB, Howell JC, Wu J, Qiu D, Parker MW, Turner JA, Hu WT. Race modifies default mode connectivity in Alzheimer's disease. Transl Neurodegener 2020; 9:8. [PMID: 32099645 PMCID: PMC7029517 DOI: 10.1186/s40035-020-0186-4] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2019] [Accepted: 02/04/2020] [Indexed: 12/11/2022] Open
Abstract
Background Older African Americans are more likely to develop Alzheimer's disease (AD) than older Caucasians, and this difference cannot be readily explained by cerebrovascular and socioeconomic factors alone. We previously showed that mild cognitive impairment and AD dementia were associated with attenuated increases in the cerebrospinal fluid (CSF) levels of total and phosphorylated tau in African Americans compared to Caucasians, even though there was no difference in beta-amyloid 1-42 level between the two races. Methods We extended our work by analyzing early functional magnetic resonance imaging (fMRI) biomarkers of the default mode network in older African Americans and Caucasians. We calculated connectivity between nodes of the regions belonging to the various default mode network subsystems and correlated these imaging biomarkers with non-imaging biomarkers implicated in AD (CSF amyloid, total tau, and cognitive performance). Results We found that race modifies the relationship between functional connectivity of default mode network subsystems and cognitive performance, tau, and amyloid levels. Conclusion These findings provide further support that race modifies the AD phenotypes downstream from cerebral amyloid deposition, and identifies key inter-subsystem connections for deep imaging and neuropathologic characterization.
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Affiliation(s)
- Maria B Misiura
- 1Department of Psychology, Georgia State University, Atlanta, GA USA.,2Departments of Neurology, Emory University, 615 Michael Street, Suite 505, Atlanta, GA 30322 USA
| | - J Christina Howell
- 2Departments of Neurology, Emory University, 615 Michael Street, Suite 505, Atlanta, GA 30322 USA
| | - Junjie Wu
- 3Departments of Radiology, Emory University, Atlanta, GA USA
| | - Deqiang Qiu
- 3Departments of Radiology, Emory University, Atlanta, GA USA
| | - Monica W Parker
- 2Departments of Neurology, Emory University, 615 Michael Street, Suite 505, Atlanta, GA 30322 USA
| | - Jessica A Turner
- 1Department of Psychology, Georgia State University, Atlanta, GA USA
| | - William T Hu
- 2Departments of Neurology, Emory University, 615 Michael Street, Suite 505, Atlanta, GA 30322 USA
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10
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Genetic data and cognitively defined late-onset Alzheimer's disease subgroups. Mol Psychiatry 2020; 25:2942-2951. [PMID: 30514930 PMCID: PMC6548676 DOI: 10.1038/s41380-018-0298-8] [Citation(s) in RCA: 55] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/25/2018] [Revised: 08/28/2018] [Accepted: 10/22/2018] [Indexed: 11/08/2022]
Abstract
Categorizing people with late-onset Alzheimer's disease into biologically coherent subgroups is important for personalized medicine. We evaluated data from five studies (total n = 4050, of whom 2431 had genome-wide single-nucleotide polymorphism (SNP) data). We assigned people to cognitively defined subgroups on the basis of relative performance in memory, executive functioning, visuospatial functioning, and language at the time of Alzheimer's disease diagnosis. We compared genotype frequencies for each subgroup to those from cognitively normal elderly controls. We focused on APOE and on SNPs with p < 10-5 and odds ratios more extreme than those previously reported for Alzheimer's disease (<0.77 or >1.30). There was substantial variation across studies in the proportions of people in each subgroup. In each study, higher proportions of people with isolated substantial relative memory impairment had ≥1 APOE ε4 allele than any other subgroup (overall p = 1.5 × 10-27). Across subgroups, there were 33 novel suggestive loci across the genome with p < 10-5 and an extreme OR compared to controls, of which none had statistical evidence of heterogeneity and 30 had ORs in the same direction across all datasets. These data support the biological coherence of cognitively defined subgroups and nominate novel genetic loci.
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11
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Gallinoro E, D'Elia S, Prozzo D, Lioncino M, Natale F, Golino P, Cimmino G. Cognitive Function and Atrial Fibrillation: From the Strength of Relationship to the Dark Side of Prevention. Is There a Contribution from Sinus Rhythm Restoration and Maintenance? ACTA ACUST UNITED AC 2019; 55:medicina55090587. [PMID: 31540311 PMCID: PMC6780629 DOI: 10.3390/medicina55090587] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2019] [Revised: 09/07/2019] [Accepted: 09/10/2019] [Indexed: 12/12/2022]
Abstract
Atrial fibrillation (AF) is the most common chronic cardiac arrhythmia with an increasing prevalence over time mainly because of population aging. It is well established that the presence of AF increases the risk of stroke, heart failure, sudden death, and cardiovascular morbidity. In the last two decades several reports have shown an association between AF and cognitive function, ranging from impairment to dementia. Ischemic stroke linked to AF is a well-known risk factor and predictor of cognitive decline. In this clinical scenario, the risk of stroke might be reduced by oral anticoagulation. However, recent data suggest that AF may be a predictor of cognitive impairment and dementia also in the absence of stroke. Cerebral hypoperfusion, reduced brain volume, microbleeds, white matter hyperintensity, neuroinflammation, and genetic factors have been considered as potential mechanisms involved in the pathogenesis of AF-related cognitive dysfunction. However, a cause-effect relationship remains still controversial. Consequently, no therapeutic strategies are available to prevent AF-related cognitive decline in stroke-free patients. This review will analyze the potential mechanisms leading to cognitive dysfunction in AF patients and examine the available data on the impact of a sinus rhythm restoration and maintenance strategy in reducing the risk of cognitive decline.
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Affiliation(s)
- Emanuele Gallinoro
- Department of Translational Medical Sciences, University of Campania "Luigi Vanvitelli", 80131 Naples, Italy.
| | - Saverio D'Elia
- Department of Translational Medical Sciences, University of Campania "Luigi Vanvitelli", 80131 Naples, Italy.
| | - Dario Prozzo
- Department of Translational Medical Sciences, University of Campania "Luigi Vanvitelli", 80131 Naples, Italy.
| | - Michele Lioncino
- Department of Translational Medical Sciences, University of Campania "Luigi Vanvitelli", 80131 Naples, Italy.
| | - Francesco Natale
- Department of Translational Medical Sciences, University of Campania "Luigi Vanvitelli", 80131 Naples, Italy.
| | - Paolo Golino
- Department of Translational Medical Sciences, University of Campania "Luigi Vanvitelli", 80131 Naples, Italy.
| | - Giovanni Cimmino
- Department of Translational Medical Sciences, University of Campania "Luigi Vanvitelli", 80131 Naples, Italy.
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12
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Qiu Y, Jacobs DM, Messer K, Salmon DP, Feldman HH. Cognitive heterogeneity in probable Alzheimer disease: Clinical and neuropathologic features. Neurology 2019; 93:e778-e790. [PMID: 31320469 PMCID: PMC6711663 DOI: 10.1212/wnl.0000000000007967] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2018] [Accepted: 03/28/2019] [Indexed: 11/15/2022] Open
Abstract
OBJECTIVE To identify heterogeneity in cognitive profiles of patients with probable Alzheimer disease (AD) who have mild to moderate dementia and satisfy inclusion and exclusion criteria for a typical AD clinical trial, and to determine whether cognitive profiles are systematically related to the clinical course and neuropathologic features of the disease. METHODS Neuropsychological test data from patients with mild to moderate probable AD (n = 4,711) were obtained from the National Alzheimer's Coordinating Center. Inclusion and exclusion criteria usually used in AD clinical trials were applied. Principal component analysis and model-based clustering were used to identify cognitive profiles in a subset of patients with autopsy-verified AD (n = 800) and validated in the overall (nonautopsy) sample and an independent cohort with similar test data. Relationships between cognitive profile, clinical characteristics, and rate of decline were examined with mixed-effects models. RESULTS In the autopsy-confirmed sample, 79.6% of patients had a typical AD cognitive profile (greater impairment of episodic memory than other cognitive functions), and 20.4% had an atypical profile (comparable impairment across cognitive domains). Similar results were obtained in the overall (typical 79.8%, atypical 20.2%) and validation (typical 71.8%, atypical 28.2%) samples. Atypicality was associated with younger age, male sex, lower probability of APOE ε4, less severe global dementia, higher depression scores, lower Braak stage at autopsy, and slower cognitive decline. CONCLUSION We can reliably identify distinct cognitive profiles among patients with clinically diagnosed probable AD that are associated with tangle pathology and with different rates of decline. This may have implications for clinical trials in AD, especially therapies targeting tau.
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Affiliation(s)
- Yuqi Qiu
- From the Department of Family Medicine and Public Health (Y.Q., K.M.), Department of Neurosciences (D.M.J., D.P.S., H.H.F.), and Shiley-Marcos Alzheimer's Disease Research Center (D.M.J., D.P.S., H.H.F.), University of California, San Diego, La Jolla
| | - Diane M Jacobs
- From the Department of Family Medicine and Public Health (Y.Q., K.M.), Department of Neurosciences (D.M.J., D.P.S., H.H.F.), and Shiley-Marcos Alzheimer's Disease Research Center (D.M.J., D.P.S., H.H.F.), University of California, San Diego, La Jolla
| | - Karen Messer
- From the Department of Family Medicine and Public Health (Y.Q., K.M.), Department of Neurosciences (D.M.J., D.P.S., H.H.F.), and Shiley-Marcos Alzheimer's Disease Research Center (D.M.J., D.P.S., H.H.F.), University of California, San Diego, La Jolla
| | - David P Salmon
- From the Department of Family Medicine and Public Health (Y.Q., K.M.), Department of Neurosciences (D.M.J., D.P.S., H.H.F.), and Shiley-Marcos Alzheimer's Disease Research Center (D.M.J., D.P.S., H.H.F.), University of California, San Diego, La Jolla
| | - Howard H Feldman
- From the Department of Family Medicine and Public Health (Y.Q., K.M.), Department of Neurosciences (D.M.J., D.P.S., H.H.F.), and Shiley-Marcos Alzheimer's Disease Research Center (D.M.J., D.P.S., H.H.F.), University of California, San Diego, La Jolla.
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13
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Puzo C, Labriola C, Sugarman MA, Tripodis Y, Martin B, Palmisano JN, Steinberg EG, Stein TD, Kowall NW, McKee AC, Mez J, Killiany RJ, Stern RA, Alosco ML. Independent effects of white matter hyperintensities on cognitive, neuropsychiatric, and functional decline: a longitudinal investigation using the National Alzheimer's Coordinating Center Uniform Data Set. Alzheimers Res Ther 2019; 11:64. [PMID: 31351489 PMCID: PMC6661103 DOI: 10.1186/s13195-019-0521-0] [Citation(s) in RCA: 60] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2019] [Accepted: 07/14/2019] [Indexed: 01/18/2023]
Abstract
BACKGROUND Longitudinal investigations are needed to improve understanding of the contributions of cerebral small vessel disease to the clinical manifestation of Alzheimer's disease, particularly in the early disease stages. This study leveraged the National Alzheimer's Coordinating Center Uniform Data Set to longitudinally examine the association between white matter hyperintensities and neuropsychological, neuropsychiatric, and functional decline among participants with normal cognition. METHODS The sample included 465 participants from the National Alzheimer's Coordinating Center Uniform Data Set who had quantitated volume of white matter hyperintensities from fluid-attenuated inversion recovery MRI, had normal cognition at the time of their MRI, and were administered the National Alzheimer's Coordinating Center Uniform Data Set neuropsychological test battery within 1 year of study evaluation and had at least two post-MRI time points of clinical data. Neuropsychiatric status was assessed by the Geriatric Depression Scale-15 and Neuropsychiatric Inventory-Questionnaire. Clinical Dementia Rating Sum of Boxes defined functional status. For participants subsequently diagnosed with mild cognitive impairment (MCI) or dementia, their impairment must have been attributed to Alzheimer's disease (AD) to evaluate the relationships between WMH and the clinical presentation of AD. RESULTS Of the 465 participants, 56 converted to MCI or AD dementia (average follow-up = 5 years). Among the 465 participants, generalized estimating equations controlling for age, sex, race, education, APOE ε4, and total brain and hippocampal volume showed that higher baseline log-white matter hyperintensities predicted accelerated decline on the following neuropsychological tests in rank order of effect size: Trails B (p < 0.01), Digit Symbol Coding (p < 0.01), Logical Memory Immediate Recall (p = 0.02), Trail Making A (p < 0.01), and Semantic Fluency (p < 0.01). White matter hyperintensities predicted increases in Clinical Dementia Rating Sum of Boxes (p < 0.01) and Geriatric Depression Scale-15 scores (p = 0.01). Effect sizes were comparable to total brain and hippocampal volume. White matter hyperintensities did not predict diagnostic conversion. All effects also remained after including individuals with non-AD suspected etiologies for those who converted to MCI or dementia. CONCLUSIONS In this baseline cognitively normal sample, greater white matter hyperintensities were associated with accelerated cognitive, neuropsychiatric, and functional decline independent of traditional risk factors and MRI biomarkers for Alzheimer's disease.
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Affiliation(s)
- Christian Puzo
- Boston University Alzheimer's Disease Center and CTE Center, Boston University School of Medicine, 72 E. Concord Street, Suite B7800, Boston, MA, 02118, USA
| | - Caroline Labriola
- Boston University Alzheimer's Disease Center and CTE Center, Boston University School of Medicine, 72 E. Concord Street, Suite B7800, Boston, MA, 02118, USA
| | - Michael A Sugarman
- Boston University Alzheimer's Disease Center and CTE Center, Boston University School of Medicine, 72 E. Concord Street, Suite B7800, Boston, MA, 02118, USA
| | - Yorghos Tripodis
- Boston University Alzheimer's Disease Center and CTE Center, Boston University School of Medicine, 72 E. Concord Street, Suite B7800, Boston, MA, 02118, USA
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Brett Martin
- Boston University Alzheimer's Disease Center and CTE Center, Boston University School of Medicine, 72 E. Concord Street, Suite B7800, Boston, MA, 02118, USA
- Biostatistics and Epidemiology Data Analytics Center, Boston University School of Public Health, Boston, MA, USA
| | - Joseph N Palmisano
- Boston University Alzheimer's Disease Center and CTE Center, Boston University School of Medicine, 72 E. Concord Street, Suite B7800, Boston, MA, 02118, USA
- Biostatistics and Epidemiology Data Analytics Center, Boston University School of Public Health, Boston, MA, USA
| | - Eric G Steinberg
- Boston University Alzheimer's Disease Center and CTE Center, Boston University School of Medicine, 72 E. Concord Street, Suite B7800, Boston, MA, 02118, USA
| | - Thor D Stein
- Boston University Alzheimer's Disease Center and CTE Center, Boston University School of Medicine, 72 E. Concord Street, Suite B7800, Boston, MA, 02118, USA
- Department of Pathology and Laboratory Medicine, Boston University School of Medicine, Boston, USA
- VA Boston Healthcare System, U.S. Department of Veteran Affairs, Jamaica Plain, USA
| | - Neil W Kowall
- Boston University Alzheimer's Disease Center and CTE Center, Boston University School of Medicine, 72 E. Concord Street, Suite B7800, Boston, MA, 02118, USA
- Department of Neurology, Boston University School of Medicine, Boston, MA, USA
- Department of Pathology and Laboratory Medicine, Boston University School of Medicine, Boston, USA
- VA Boston Healthcare System, U.S. Department of Veteran Affairs, Jamaica Plain, USA
| | - Ann C McKee
- Boston University Alzheimer's Disease Center and CTE Center, Boston University School of Medicine, 72 E. Concord Street, Suite B7800, Boston, MA, 02118, USA
- Department of Neurology, Boston University School of Medicine, Boston, MA, USA
- Department of Pathology and Laboratory Medicine, Boston University School of Medicine, Boston, USA
- VA Boston Healthcare System, U.S. Department of Veteran Affairs, Jamaica Plain, USA
| | - Jesse Mez
- Boston University Alzheimer's Disease Center and CTE Center, Boston University School of Medicine, 72 E. Concord Street, Suite B7800, Boston, MA, 02118, USA
- Department of Neurology, Boston University School of Medicine, Boston, MA, USA
| | - Ronald J Killiany
- Boston University Alzheimer's Disease Center and CTE Center, Boston University School of Medicine, 72 E. Concord Street, Suite B7800, Boston, MA, 02118, USA
- Department of Anatomy and Neurobiology, Boston University School of Medicine, Boston, USA
- Center for Biomedical Imaging, Boston University School of Medicine, Boston, USA
| | - Robert A Stern
- Boston University Alzheimer's Disease Center and CTE Center, Boston University School of Medicine, 72 E. Concord Street, Suite B7800, Boston, MA, 02118, USA
- Department of Neurology, Boston University School of Medicine, Boston, MA, USA
- Departments of Neurosurgery and Anatomy & Neurobiology, Boston University School of Medicine, Boston, MA, USA
| | - Michael L Alosco
- Boston University Alzheimer's Disease Center and CTE Center, Boston University School of Medicine, 72 E. Concord Street, Suite B7800, Boston, MA, 02118, USA.
- Department of Neurology, Boston University School of Medicine, Boston, MA, USA.
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14
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Gallucci M, Dell'Acqua C, Bergamelli C, Fenoglio C, Serpente M, Galimberti D, Fiore V, Medea S, Gregianin M, Di Battista ME. A Case with Early Onset Alzheimer's Disease, Frontotemporal Hypometabolism, ApoE Genotype ɛ4/ɛ4 and C9ORF72 Intermediate Expansion: A Treviso Dementia (TREDEM) Registry Case Report. J Alzheimers Dis 2019; 67:985-993. [PMID: 30714955 DOI: 10.3233/jad-180715] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
We report the case of a woman firstly referred to our Memory Clinic at the age of 61, following the development of cognitive complaints and difficulties in sustained attention. The investigation that was performed showed: predominant executive dysfunctions at the neuropsychological evaluation, with mild, partial and stable involvement of the memory domain; cortical and subcortical atrophy with well-preserved hippocampal structures at MRI; marked fronto-temporal and moderate parietal hypometabolism from 18F-FDG PET study with a sparing of the posterior cingulate and precuneus; positivity of amyloid-β at 18F-Flutemetamol PET; an hexanucleotide intermediate repeats expansion of C9ORF72 gene (12//38 repeats) and ApoE genotype ɛ4/ɛ4. The patient was diagnosed with probable early onset frontal variant of Alzheimer's disease (AD), presenting with a major executive function impairment. The lack of specific areas of brain atrophy, as well as the failure to meet the clinical criteria for any frontotemporal dementia, drove us to perform the aforementioned investigations, which yielded our final diagnosis. The present case highlights the need to take into consideration a diagnosis of frontal variant of AD when the metabolic and the clinical picture are somehow dissonant.
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Affiliation(s)
- Maurizio Gallucci
- Cognitive Impairment Center, Local Health Autority n.2 Marca Trevigiana, Treviso, Italy
| | - Carola Dell'Acqua
- Cognitive Impairment Center, Local Health Autority n.2 Marca Trevigiana, Treviso, Italy
| | - Cristina Bergamelli
- Cognitive Impairment Center, Local Health Autority n.2 Marca Trevigiana, Treviso, Italy
| | | | | | - Daniela Galimberti
- University of Milan, Dino Ferrari Center, Milan, Italy.,Fondazione IRCCS Ca' Granda, Ospedale Policlinico, Neurodegenerative Disease Unit, Milan, Italy
| | - Vittorio Fiore
- Nuclear Medicine Unit, Local Health Autority n.2 Marca Trevigiana, Treviso, Italy
| | - Stefano Medea
- Nuclear Medicine Unit, Local Health Autority n.2 Marca Trevigiana, Treviso, Italy
| | - Michele Gregianin
- Nuclear Medicine Unit, Local Health Autority n.2 Marca Trevigiana, Treviso, Italy
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15
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Babulal GM, Quiroz YT, Albensi BC, Arenaza-Urquijo E, Astell AJ, Babiloni C, Bahar-Fuchs A, Bell J, Bowman GL, Brickman AM, Chételat G, Ciro C, Cohen AD, Dilworth-Anderson P, Dodge HH, Dreux S, Edland S, Esbensen A, Evered L, Ewers M, Fargo KN, Fortea J, Gonzalez H, Gustafson DR, Head E, Hendrix JA, Hofer SM, Johnson LA, Jutten R, Kilborn K, Lanctôt KL, Manly JJ, Martins RN, Mielke MM, Morris MC, Murray ME, Oh ES, Parra MA, Rissman RA, Roe CM, Santos OA, Scarmeas N, Schneider LS, Schupf N, Sikkes S, Snyder HM, Sohrabi HR, Stern Y, Strydom A, Tang Y, Terrera GM, Teunissen C, Melo van Lent D, Weinborn M, Wesselman L, Wilcock DM, Zetterberg H, O'Bryant SE. Perspectives on ethnic and racial disparities in Alzheimer's disease and related dementias: Update and areas of immediate need. Alzheimers Dement 2019; 15:292-312. [PMID: 30555031 PMCID: PMC6368893 DOI: 10.1016/j.jalz.2018.09.009] [Citation(s) in RCA: 380] [Impact Index Per Article: 63.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2018] [Revised: 07/12/2018] [Accepted: 09/13/2018] [Indexed: 02/07/2023]
Abstract
Alzheimer's disease and related dementias (ADRDs) are a global crisis facing the aging population and society as a whole. With the numbers of people with ADRDs predicted to rise dramatically across the world, the scientific community can no longer neglect the need for research focusing on ADRDs among underrepresented ethnoracial diverse groups. The Alzheimer's Association International Society to Advance Alzheimer's Research and Treatment (ISTAART; alz.org/ISTAART) comprises a number of professional interest areas (PIAs), each focusing on a major scientific area associated with ADRDs. We leverage the expertise of the existing international cadre of ISTAART scientists and experts to synthesize a cross-PIA white paper that provides both a concise "state-of-the-science" report of ethnoracial factors across PIA foci and updated recommendations to address immediate needs to advance ADRD science across ethnoracial populations.
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Affiliation(s)
- Ganesh M Babulal
- Department of Neurology and Knight Alzheimer's Disease Research Center, Washington University School of Medicine, St. Louis, MO, USA
| | - Yakeel T Quiroz
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA; Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Benedict C Albensi
- Division of Neurodegenerative Disorders, St. Boniface Hospital Albrechtsen Research Centre, Winnipeg, Manitoba, Canada; Department of Pharmacology & Therapeutics, University of Manitoba, Winnipeg, Manitoba, Canada
| | | | - Arlene J Astell
- Department of Occupational Sciences & Occupational Therapy, University of Toronto, CA; School of Psychology and Clinical Language Sciences, University of Reading, UK
| | - Claudio Babiloni
- Department of Physiology and Pharmacology "V. Erspamer", Sapienza University of Rome, Rome, Italy; Department of Neuroscience, IRCCS-Hospital San Raffaele Pisana of Rome and Cassino, Rome and Cassino, Italy
| | - Alex Bahar-Fuchs
- Academic Unit for Psychiatry of Old Age, Department of Psychiatry, the University of Melbourne, Australia
| | | | - Gene L Bowman
- Nutrition and Brain Health Laboratory, Nestlé Institute of Health Sciences, Lausanne, Switzerland; Department of Neurology, Layton Aging & Alzheimer's Disease Center, Oregon Health & Science University, Portland, OR, USA
| | - Adam M Brickman
- Taub Institute for Research in Alzheimer's Disease and the Aging Brain, The Gertrude H. Sergievsky Center, Department of Neurology, Columbia University, New York, NY, USA
| | - Gaël Chételat
- Inserm, Inserm UMR-S U1237, Université de Caen-Normandie, GIP Cyceron, Caen, France
| | - Carrie Ciro
- Department of Occupational Therapy Education, University of Kansas Medical Center, Kansas City, KS, USA
| | - Ann D Cohen
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | | | - Hiroko H Dodge
- Department of Neurology, Layton Aging and Alzheimer's Disease Center, Oregon Health & Science University, Portland, OR, USA
| | - Simone Dreux
- Undergraduate Program of History and Science, Harvard College, Cambridge, MA, USA
| | - Steven Edland
- Department of Family Medicine and Public Health, University of California, San Diego, CA, USA
| | - Anna Esbensen
- Department of Pediatrics, University of Cincinnati College of Medicine & Division of Developmental and Behavioral Pediatrics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
| | - Lisbeth Evered
- Melbourne Medical School, University of Melbourne, Australia
| | - Michael Ewers
- Institute for Stroke and Dementia Research, Klinikum der Universität München, Munich, Germany
| | - Keith N Fargo
- Medical & Scientific Relations, Alzheimer's Association, Chicago, IL, USA
| | - Juan Fortea
- Memory Unit, Department of Neurology, Hospital de la Santa Creu i Sant Pau, Biomedical Research Institute Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain; Barcelona Down Medical Center, Fundació Catalana de Síndrome de Down, Barcelona, Spain
| | - Hector Gonzalez
- Department of Neurosciences and Shiley-Marcos Alzheimer's Disease Research Center, University of San Diego, CA, USA
| | - Deborah R Gustafson
- Department of Neurology, Section for NeuroEpidemiology, State University of New York - Downstate Medical Center, Brooklyn, NY, USA
| | - Elizabeth Head
- Sanders Brown Center on Aging, University of Kentucky, Lexington, KY, USA
| | - James A Hendrix
- Medical & Scientific Relations, Alzheimer's Association, Chicago, IL, USA
| | - Scott M Hofer
- Adult Development and Aging, University of Victoria, British Columbia, CA, USA
| | - Leigh A Johnson
- Department of Pharmacology & Neuroscience, University of North Texas Health Science Center, Fort Worth, TX, USA
| | - Roos Jutten
- VU University Medical Center, Department of Neurology, Amsterdam Neuroscience, Amsterdam, the Netherlands
| | - Kerry Kilborn
- Department of Psychology, University of Glasgow, Glasgow, Scotland, UK
| | - Krista L Lanctôt
- Sunnybrook Research Institute of Psychiatry and Pharmacology, University of Toronto, Toronto, ON, Canada
| | - Jennifer J Manly
- Taub Institute for Research in Alzheimer's Disease and the Aging Brain, The Gertrude H. Sergievsky Center, Department of Neurology, Columbia University, New York, NY, USA
| | - Ralph N Martins
- Aging and Alzheimer's Disease, School of Medical and Health Sciences, Edith Cowan University, Joondalup, Australia
| | - Michelle M Mielke
- Department of Epidemiology, Mayo Clinic, Rochester, MN, USA; Department of Neurology, Mayo Clinic, Rochester, MN, USA
| | | | | | - Esther S Oh
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Mario A Parra
- School of Social Sciences, Department of Psychology, Heriot-Watt University, UK; Universidad Autónoma del Caribe, Barranquilla, Colombia; Neuroprogressive and Dementia Network, UK
| | - Robert A Rissman
- Department of Neurosciences, University of California San Diego School of Medicine, CA, USA
| | - Catherine M Roe
- Department of Neurology and Knight Alzheimer's Disease Research Center, Washington University School of Medicine, St. Louis, MO, USA
| | - Octavio A Santos
- Department of Psychiatry and Psychology, Mayo Clinic, Jacksonville, FL, USA
| | - Nikolaos Scarmeas
- Taub Institute for Research in Alzheimer's Disease and the Aging Brain, The Gertrude H. Sergievsky Center, Department of Neurology, Columbia University, New York, NY, USA; Aiginition Hospital, 1st Neurology Clinic, Department of Social Medicine, Psychiatry and Neurology, National and Kapodistrian University of Athens, Athens, Greece
| | - Lon S Schneider
- Department of Psychiatry and The Behavioral Sciences, University of Southern California, CA, USA
| | - Nicole Schupf
- Department of Epidemiology, Mailman School of Public Health Columbia University, New York, NY, USA
| | - Sietske Sikkes
- Massachusetts General Hospital, Department of Neurology, Boston, MA, USA
| | - Heather M Snyder
- Medical & Scientific Relations, Alzheimer's Association, Chicago, IL, USA
| | - Hamid R Sohrabi
- Aging and Alzheimer's Disease, School of Medical and Health Sciences, Edith Cowan University, Joondalup, Australia
| | - Yaakov Stern
- Department of Neurology, Columbia University, New York, NY, USA; Department of Psychiatry, Columbia University, New York, NY, USA
| | - Andre Strydom
- Department of Forensic and Neurodevelopmental Science, Institute of Psychiatry Psychology and Neuroscience, King's College London, London, UK
| | - Yi Tang
- Department of Neurology, Xuan Wu Hospital, Capital Medical University, Beijing, China
| | - Graciela Muniz Terrera
- Centers for Clinical Brain Sciences and Dementia Prevention, University in Edinburgh, Scotland, UK
| | - Charlotte Teunissen
- Neurochemistry Laboratory and Biobank, Department of Clinical Chemistry, Amsterdam Neuroscience, Vrije Universiteit University Medical Center, Amsterdam, the Netherlands
| | - Debora Melo van Lent
- Department of Clinical Research, German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Michael Weinborn
- Aging and Alzheimer's Disease, School of Medical and Health Sciences, Edith Cowan University, Joondalup, Australia
| | | | - Donna M Wilcock
- Neurochemistry Laboratory and Biobank, Department of Clinical Chemistry, Amsterdam Neuroscience, Vrije Universiteit University Medical Center, Amsterdam, the Netherlands
| | - Henrik Zetterberg
- UK Dementia Research Institute at UCL, London, UK; Department of Molecular Neuroscience, UCL Institute of Neurology, Queen Square, London, UK; Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden; Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
| | - Sid E O'Bryant
- Department of Pharmacology & Neuroscience, University of North Texas Health Science Center, Fort Worth, TX, USA.
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Effects of APOE ε4 on neuroimaging, cerebrospinal fluid biomarkers, and cognition in prodromal Alzheimer's disease. Neurobiol Aging 2018; 71:81-90. [PMID: 30107289 DOI: 10.1016/j.neurobiolaging.2018.07.003] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2018] [Revised: 06/06/2018] [Accepted: 07/04/2018] [Indexed: 01/06/2023]
Abstract
Apolipoprotein (APOE) ε4 is a major genetic risk factor for Alzheimer's disease (AD), but its importance for the clinical and biological heterogeneity in AD is unclear, particularly at the prodromal stage. We analyzed 151 prodromal AD patients (44 APOE ε4-negative and 107 APOE ε4-positive) from the BioFINDER study. We tested cognition, 18F-flutemetamol β-amyloid (Aβ) positron emission tomography, cerebrospinal fluid biomarkers of Aβ, tau and neurodegeneration, and magnetic resonance imaging of white matter pathology and brain structure. Despite having similar cortical Aβ-load and baseline global cognition (mini mental state examination), APOE ε4-negative prodromal AD had more nonamnestic cognitive impairment, higher cerebrospinal fluid levels of Aβ-peptides and neuronal injury biomarkers, more white matter pathology, more cortical atrophy, and faster decline of mini mental state examination, compared to APOE ε4-positive prodromal AD. The absence of APOE ε4 is associated with an atypical phenotype of prodromal AD. This suggests that APOE ε4 may impact both the diagnostics of AD in early stages and potentially also effects of disease-modifying treatments.
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Bergeron D, Poulin S, Laforce R. Cognition and anatomy of adult Niemann-Pick disease type C: Insights for the Alzheimer field. Cogn Neuropsychol 2017; 35:209-222. [PMID: 28662611 DOI: 10.1080/02643294.2017.1340264] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/23/2023]
Abstract
Niemann-Pick disease type C (NPC) is a rare lysosomal storage disorder causing an intracellular lipid trafficking defect and varying damage to the spleen, liver, and central nervous system. The adult form, representing approximately 20% of the cases, is associated with progressive cognitive decline. Intriguingly, brains of adult NPC patients exhibit neurofibrillary tangles, a characteristic hallmark of Alzheimer's disease (AD). However, the cognitive, psychiatric, and neuropathological features of adult NPC and their relation to AD have yet to be explored. We systematically reviewed the literature on adult NPC with a particular focus on cognitive and neuroanatomical abnormalities. The careful study of cognition in adult NPC allows drawing critical insights in our understanding of the pathophysiology of AD as well as normal cognition.
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Affiliation(s)
- David Bergeron
- a Clinique Interdisciplinaire de Mémoire, Département des Sciences Neurologiques , CHU de Québec , Quebec City , Quebec , Canada.,b Faculté de Médecine , Université Laval , Quebec City , Quebec , Canada
| | - Stéphane Poulin
- a Clinique Interdisciplinaire de Mémoire, Département des Sciences Neurologiques , CHU de Québec , Quebec City , Quebec , Canada.,b Faculté de Médecine , Université Laval , Quebec City , Quebec , Canada
| | - Robert Laforce
- a Clinique Interdisciplinaire de Mémoire, Département des Sciences Neurologiques , CHU de Québec , Quebec City , Quebec , Canada.,b Faculté de Médecine , Université Laval , Quebec City , Quebec , Canada
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18
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Mez J, Mukherjee S, Thornton T, Fardo DW, Trittschuh E, Sutti S, Sherva R, Kauwe JS, Naj AC, Beecham GW, Gross A, Saykin AJ, Green RC, Crane PK. The executive prominent/memory prominent spectrum in Alzheimer's disease is highly heritable. Neurobiol Aging 2016; 41:115-121. [PMID: 27103524 PMCID: PMC4843522 DOI: 10.1016/j.neurobiolaging.2016.02.015] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2015] [Revised: 02/11/2016] [Accepted: 02/13/2016] [Indexed: 02/03/2023]
Abstract
Late-onset Alzheimer's disease (LOAD) can present heterogeneously, with several subtypes recognized, including dysexecutive AD. One way to identify people with dysexecutive AD is to consider the difference between memory and executive functioning, which we refer to as the executive prominent/memory prominent spectrum. We aimed to determine if this spectrum was heritable. We used neuropsychological and genetic data from people with mild LOAD (Clinical Dementia Rating 0.5 or 1.0) from the National Alzheimer's Coordinating Center and the Alzheimer's Disease Neuroimaging Initiative. We cocalibrated the neuropsychological data to obtain executive functioning and memory scores and used their difference as a continuous phenotype to calculate its heritability overall and by chromosome. Narrow-sense heritability of the difference between memory and executive functioning scores was 0.68 (standard error 0.12). Single nucleotide polymorphisms on chromosomes 1, 2, 4, 11, 12, and 18 explained the largest fraction of phenotypic variance, with signals from each chromosome accounting for 5%-7%. The chromosomal pattern of heritability differed substantially from that of LOAD itself.
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Affiliation(s)
- Jesse Mez
- Alzheimer's Disease Center, Department of Neurology, Boston University School of Medicine, Boston, MA, USA
| | - Shubhabrata Mukherjee
- Division of General Internal Medicine, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Timothy Thornton
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - David W Fardo
- Department of Biostatistics, University of Kentucky College of Public Health, Lexington, KY, USA
| | - Emily Trittschuh
- Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA, USA
| | - Sheila Sutti
- G2P Program, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Richard Sherva
- Biomedical Genetics, Department of Medicine, Boston University School of Medicine, Boston, MA, USA
| | - John S Kauwe
- Department of Biology, Brigham Young University, Provo, UT, USA
| | - Adam C Naj
- Department of Biostatistics and Epidemiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Gary W Beecham
- Miller School of Medicine, Hussman Institute for Human Genomics and Dr. John T. Macdonald Foundation, Department of Human Genetics, University of Miami, Miami, FL, USA
| | - Alden Gross
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA
| | - Andrew J Saykin
- IU Health Neuroscience Center, Department of Radiology, Indiana University, Indianapolis, IN, USA
| | - Robert C Green
- G2P Program, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Paul K Crane
- Division of General Internal Medicine, Department of Medicine, University of Washington, Seattle, WA, USA.
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Ossenkoppele R, Pijnenburg YAL, Perry DC, Cohn-Sheehy BI, Scheltens NME, Vogel JW, Kramer JH, van der Vlies AE, La Joie R, Rosen HJ, van der Flier WM, Grinberg LT, Rozemuller AJ, Huang EJ, van Berckel BNM, Miller BL, Barkhof F, Jagust WJ, Scheltens P, Seeley WW, Rabinovici GD. The behavioural/dysexecutive variant of Alzheimer's disease: clinical, neuroimaging and pathological features. Brain 2015; 138:2732-49. [PMID: 26141491 DOI: 10.1093/brain/awv191] [Citation(s) in RCA: 359] [Impact Index Per Article: 35.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2015] [Accepted: 05/05/2015] [Indexed: 12/12/2022] Open
Abstract
A 'frontal variant of Alzheimer's disease' has been described in patients with predominant behavioural or dysexecutive deficits caused by Alzheimer's disease pathology. The description of this rare Alzheimer's disease phenotype has been limited to case reports and small series, and many clinical, neuroimaging and neuropathological characteristics are not well understood. In this retrospective study, we included 55 patients with Alzheimer's disease with a behavioural-predominant presentation (behavioural Alzheimer's disease) and a neuropathological diagnosis of high-likelihood Alzheimer's disease (n = 17) and/or biomarker evidence of Alzheimer's disease pathology (n = 44). In addition, we included 29 patients with autopsy/biomarker-defined Alzheimer's disease with a dysexecutive-predominant syndrome (dysexecutive Alzheimer's disease). We performed structured chart reviews to ascertain clinical features. First symptoms were more often cognitive (behavioural Alzheimer's disease: 53%; dysexecutive Alzheimer's disease: 83%) than behavioural (behavioural Alzheimer's disease: 25%; dysexecutive Alzheimer's disease: 3%). Apathy was the most common behavioural feature, while hyperorality and perseverative/compulsive behaviours were less prevalent. Fifty-two per cent of patients with behavioural Alzheimer's disease met diagnostic criteria for possible behavioural-variant frontotemporal dementia. Overlap between behavioural and dysexecutive Alzheimer's disease was modest (9/75 patients). Sixty per cent of patients with behavioural Alzheimer's disease and 40% of those with the dysexecutive syndrome carried at least one APOE ε4 allele. We also compared neuropsychological test performance and brain atrophy (applying voxel-based morphometry) with matched autopsy/biomarker-defined typical (amnestic-predominant) Alzheimer's disease (typical Alzheimer's disease, n = 58), autopsy-confirmed/Alzheimer's disease biomarker-negative behavioural variant frontotemporal dementia (n = 59), and controls (n = 61). Patients with behavioural Alzheimer's disease showed worse memory scores than behavioural variant frontotemporal dementia and did not differ from typical Alzheimer's disease, while executive function composite scores were lower compared to behavioural variant frontotemporal dementia and typical Alzheimer's disease. Voxel-wise contrasts between behavioural and dysexecutive Alzheimer's disease patients and controls revealed marked atrophy in bilateral temporoparietal regions and only limited atrophy in the frontal cortex. In direct comparison with behavioural and those with dysexecutive Alzheimer's disease, patients with behavioural variant frontotemporal dementia showed more frontal atrophy and less posterior involvement, whereas patients with typical Alzheimer's disease were slightly more affected posteriorly and showed less frontal atrophy (P < 0.001 uncorrected). Among 24 autopsied behavioural Alzheimer's disease/dysexecutive Alzheimer's disease patients, only two had primary co-morbid FTD-spectrum pathology (progressive supranuclear palsy). In conclusion, behavioural Alzheimer's disease presentations are characterized by a milder and more restricted behavioural profile than in behavioural variant frontotemporal dementia, co-occurrence of memory dysfunction and high APOE ε4 prevalence. Dysexecutive Alzheimer's disease presented as a primarily cognitive phenotype with minimal behavioural abnormalities and intermediate APOE ε4 prevalence. Both behavioural Alzheimer's disease and dysexecutive Alzheimer's disease presentations are distinguished by temporoparietal-predominant atrophy. Based on the relative sparing of frontal grey matter, we propose to redefine these clinical syndromes as 'the behavioural/dysexecutive variant of Alzheimer's disease' rather than frontal variant Alzheimer's disease. Further work is needed to determine whether behavioural and dysexecutive-predominant presentations of Alzheimer's disease represent distinct phenotypes or a single continuum.
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Affiliation(s)
- Rik Ossenkoppele
- 1 Memory and Aging Center, University of California San Francisco, San Francisco, USA 2 Helen Wills Neuroscience Institute, University of California Berkeley, Berkeley, USA 3 Department of Neurology and Alzheimer Center, VU University Medical Center, Amsterdam, The Netherlands 4 Department of Radiology and Nuclear Medicine, VU University Medical Center, Amsterdam, The Netherlands
| | - Yolande A L Pijnenburg
- 3 Department of Neurology and Alzheimer Center, VU University Medical Center, Amsterdam, The Netherlands
| | - David C Perry
- 1 Memory and Aging Center, University of California San Francisco, San Francisco, USA
| | - Brendan I Cohn-Sheehy
- 1 Memory and Aging Center, University of California San Francisco, San Francisco, USA
| | - Nienke M E Scheltens
- 3 Department of Neurology and Alzheimer Center, VU University Medical Center, Amsterdam, The Netherlands
| | - Jacob W Vogel
- 2 Helen Wills Neuroscience Institute, University of California Berkeley, Berkeley, USA
| | - Joel H Kramer
- 1 Memory and Aging Center, University of California San Francisco, San Francisco, USA
| | - Annelies E van der Vlies
- 3 Department of Neurology and Alzheimer Center, VU University Medical Center, Amsterdam, The Netherlands
| | - Renaud La Joie
- 2 Helen Wills Neuroscience Institute, University of California Berkeley, Berkeley, USA
| | - Howard J Rosen
- 1 Memory and Aging Center, University of California San Francisco, San Francisco, USA
| | - Wiesje M van der Flier
- 3 Department of Neurology and Alzheimer Center, VU University Medical Center, Amsterdam, The Netherlands 5 Department of Epidemiology and Biostatistics VU University Medical Center, Amsterdam, The Netherlands
| | - Lea T Grinberg
- 1 Memory and Aging Center, University of California San Francisco, San Francisco, USA 6 Department of Pathology, University of California San Francisco, San Francisco, USA
| | - Annemieke J Rozemuller
- 3 Department of Neurology and Alzheimer Center, VU University Medical Center, Amsterdam, The Netherlands
| | - Eric J Huang
- 6 Department of Pathology, University of California San Francisco, San Francisco, USA
| | - Bart N M van Berckel
- 4 Department of Radiology and Nuclear Medicine, VU University Medical Center, Amsterdam, The Netherlands
| | - Bruce L Miller
- 1 Memory and Aging Center, University of California San Francisco, San Francisco, USA
| | - Frederik Barkhof
- 4 Department of Radiology and Nuclear Medicine, VU University Medical Center, Amsterdam, The Netherlands
| | - William J Jagust
- 2 Helen Wills Neuroscience Institute, University of California Berkeley, Berkeley, USA
| | - Philip Scheltens
- 3 Department of Neurology and Alzheimer Center, VU University Medical Center, Amsterdam, The Netherlands
| | - William W Seeley
- 1 Memory and Aging Center, University of California San Francisco, San Francisco, USA 6 Department of Pathology, University of California San Francisco, San Francisco, USA
| | - Gil D Rabinovici
- 1 Memory and Aging Center, University of California San Francisco, San Francisco, USA 2 Helen Wills Neuroscience Institute, University of California Berkeley, Berkeley, USA
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Seifan A, Assuras S, Huey ED, Mez J, Tsapanou A, Caccappolo E. Childhood Learning Disabilities and Atypical Dementia: A Retrospective Chart Review. PLoS One 2015; 10:e0129919. [PMID: 26106899 PMCID: PMC4481274 DOI: 10.1371/journal.pone.0129919] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2014] [Accepted: 05/14/2015] [Indexed: 11/19/2022] Open
Abstract
Objective To further our understanding of the association between self-reported childhood learning disabilities (LDs) and atypical dementia phenotypes (Atypical Dementia), including logopenic primary progressive aphasia (L-PPA), Posterior Cortical Atrophy (PCA), and Dysexecutive-type Alzheimer’s Disease (AD). Methods This retrospective case series analysis of 678 comprehensive neuropsychological assessments compared rates of self-reported LD between dementia patients diagnosed with Typical AD and those diagnosed with Atypical Dementia. 105 cases with neuroimaging or CSF data available and at least one neurology follow-up were identified as having been diagnosed by the neuropsychologist with any form of neurodegenerative dementia. These cases were subject to a consensus diagnostic process among three dementia experts using validated clinical criteria for AD and PPA. LD was considered Probable if two or more statements consistent with prior LD were documented within the Social & Developmental History of the initial neuropsychological evaluation. Results 85 subjects (Typical AD n=68, Atypical AD n=17) were included in the final analysis. In logistic regression models adjusted for age, gender, handedness, education and symptom duration, patients with Probable LD, compared to patients without Probable LD, were significantly more likely to be diagnosed with Atypical Dementia vs. Typical AD (OR 13.1, 95% CI 1.3-128.4). All three of the L-PPA cases reporting a childhood LD endorsed childhood difficulty with language. By contrast, both PCA cases reporting Probable childhood LD endorsed difficulty with attention and/or math. Conclusions In people who develop dementia, childhood LD may predispose to atypical phenotypes. Future studies are required to confirm whether atypical neurodevelopment predisposes to regional-specific neuropathology in AD and other dementias.
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Affiliation(s)
- Alon Seifan
- Department of Neurology Weill Cornell Medical College, New York, New York, United States of America
- * E-mail:
| | - Stephanie Assuras
- Department of Neuropsychology, Columbia University, New York, New York, United States of America
| | - Edward D. Huey
- Department of Neurology Columbia University, New York, New York, United States of America
- Gertrude H. Sergievsky Center, Columbia University, New York, New York, United States of America
- Cognitive neuroscience division, Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University, New York, New York, United States of America
| | - Jesse Mez
- Department of Neurology, Boston University School of Medicine, Boston, Massachusetts, United States of America
| | - Angeliki Tsapanou
- Cognitive neuroscience division, Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University, New York, New York, United States of America
| | - Elise Caccappolo
- Department of Neuropsychology, Columbia University, New York, New York, United States of America
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21
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Barnes J, Dickerson BC, Frost C, Jiskoot LC, Wolk D, van der Flier WM. Alzheimer's disease first symptoms are age dependent: Evidence from the NACC dataset. Alzheimers Dement 2015; 11:1349-57. [PMID: 25916562 DOI: 10.1016/j.jalz.2014.12.007] [Citation(s) in RCA: 99] [Impact Index Per Article: 9.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2014] [Revised: 11/11/2014] [Accepted: 12/08/2014] [Indexed: 12/21/2022]
Abstract
INTRODUCTION Determining the relationship between age and Alzheimer's disease (AD) presentation is important to improve understanding and provide better patient services. METHODS We used AD patient data (N = 7815) from the National Alzheimer Coordinating Center database and multinomial logistic regression to investigate presentation age and first cognitive/behavioral symptoms. RESULTS The odds of having a nonmemory first cognitive symptom (including impairment in judgment and problem solving, language, and visuospatial function) increased with younger age (P < .001, all tests). Compared with apathy/withdrawal, the odds of having depression and "other" behavioral symptoms increased with younger age (P < .02, both tests), whereas the odds of having psychosis and no behavioral symptom increased with older age (P < .001, both tests). DISCUSSION There is considerable heterogeneity in the first cognitive/behavioral symptoms experienced by AD patients. Proportions of these symptoms change with age with patients experiencing increasing nonmemory cognitive symptoms and more behavioral symptoms at younger ages.
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Affiliation(s)
- Josephine Barnes
- Department of Neurodegenerative Disease, Dementia Research Centre, UCL Institute of Neurology, National Hospital for Neurology and Neurosurgery, London, UK.
| | - Bradford C Dickerson
- Department of Neurology, Frontotemporal Dementia Unit and Alzheimer's Disease Research Center, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Chris Frost
- Department of Medical Statistics, London School of Hygiene and Tropical Medicine, London, UK
| | - Lize C Jiskoot
- Department of Neurology, Alzheimer Center, Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, the Netherlands; Department of Neurology, Erasmus Medical Center, Rotterdam, the Netherlands
| | - David Wolk
- Department of Neurology, Penn Memory Center, University of Pennsylvania, Philadelphia, PA, USA
| | - Wiesje M van der Flier
- Department of Neurology, Alzheimer Center, Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, the Netherlands; Department of Epidemiology & Biostatistics, Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, the Netherlands
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Sunderaraman P, Sokolov E, Cines S, Sullo E, Orly A, Lerer B, Karlawish J, Huey E, Cosentino S. Untimed Design Fluency in Aging and Alzheimer's Disease: Psychometrics and Normative Data. APPLIED NEUROPSYCHOLOGY-ADULT 2015; 22:363-72. [PMID: 25679880 DOI: 10.1080/23279095.2014.940419] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/14/2023]
Abstract
Design fluency tests, commonly used in both clinical and research contexts to evaluate nonverbal concept generation, have the potential to offer useful information in the differentiation of healthy versus pathological aging. Although normative data for older adults (OAs) are available for multiple timed versions of this test, similar data have been unavailable for a previously published untimed test, the Graphic Pattern Generation Test (GPG). Time constraints common to almost all of the available design fluency tests may cloud interpretation of higher-level executive abilities-for example, in individuals with slow processing speed. The current study examined the psychometric properties of the GPG and presents normative data in a sample of 167 healthy OAs and 110 individuals diagnosed with Alzheimer's disease (AD). Results suggest that a brief version of the GPG can be administered reliably and that this short form has high test-retest and interrater reliability. Number of perseverations was higher in individuals with AD as compared with OAs. A cutoff score of 4 or more perseverations showed a moderate degree of sensitivity (76%) and specificity (37%) in distinguishing individuals with AD and OAs. Finally, perseverations were associated with nonmemory indexes, thereby underscoring the nonverbal nature of this error in OAs and individuals with AD.
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Affiliation(s)
- Preeti Sunderaraman
- a Department of Psychology , Drexel University , Philadelphia , Pennsylvania
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Mez J, Cosentino S, Brickman AM, Huey ED, Mayeux R. Different demographic, genetic, and longitudinal traits in language versus memory Alzheimer's subgroups. J Alzheimers Dis 2014; 37:137-46. [PMID: 23788008 DOI: 10.3233/jad-130320] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
The study's objective was to compare demographics, APOE genotypes, and rate of rise over time in functional impairment in neuropsychologically defined language, typical, and memory subgroups of clinical Alzheimer's disease (AD). 1,368 participants from the National Alzheimer's Coordinating Center database with a diagnosis of probable AD (CDR 0.5-1.0) were included. A language subgroup (n = 229) was defined as having language performance >1 SD worse than memory performance. A memory subgroup (n = 213) was defined as having memory performance >1 SD worse than language performance. A typical subgroup (n = 926) was defined as having a difference in language and memory performance of <1 SD. Compared with the memory subgroup, the language subgroup was 3.7 years older and more frequently self-identified as African American (OR = 3.69). Under a dominant genetic model, the language subgroup had smaller odds of carrying at least one APOEε4 allele relative to the memory subgroup. While this difference was present for all ages, it was more striking at a younger age (OR = 0.19 for youngest tertile; OR = 0.52 for oldest tertile). Compared with the memory subgroup, the language subgroup rose 35% faster on the Functional Assessment Questionnaire and 44% faster on CDR sum of boxes over time. Among a subset of participants who underwent autopsy (n = 98), the language, memory, and typical subgroups were equally likely to have an AD pathologic diagnosis, suggesting that variation in non-AD pathologies across subtypes did not lead to the observed differences. The study demonstrates that a language subgroup of AD has different demographics, genetic profile, and disease course in addition to cognitive phenotype.
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Affiliation(s)
- Jesse Mez
- Gertrude H. Sergievsky Center, College of Physicians and Surgeons, Columbia University, New York, NY 10032, USA.
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24
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Mez J, Cosentino S, Brickman AM, Huey ED, Manly JJ, Mayeux R. Faster cognitive and functional decline in Dysexecutive versus amnestic Alzheimer's subgroups: a longitudinal analysis of the National Alzheimer's Coordinating Center (NACC) database. PLoS One 2013; 8:e65246. [PMID: 23755200 PMCID: PMC3670903 DOI: 10.1371/journal.pone.0065246] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2013] [Accepted: 04/24/2013] [Indexed: 11/18/2022] Open
Abstract
OBJECTIVE To compare the rate of cognitive and functional decline in dysexecutive, typical and amnestic subgroups of Alzheimer's disease. METHODS 943 participants from the National Alzheimer's Coordinating Center (NACC) database who had a diagnosis of probable AD were followed for a mean of 2.3 years. A dysexecutive subgroup (n = 165) was defined as having executive performance >1.5 SD worse than memory performance, an amnestic subgroup (n = 157) was defined as having memory performance >1.5 SD worse than executive performance and a typical subgroup (n = 621) was defined as having a difference in executive and memory performance of <1.5 SD. Generalized estimating equations (GEE) were used to model decline on the Folstein Mini Mental Status Exam (MMSE), rise on the Clinical Dementia Rating (CDR) sum of boxes and rise on the total Functional Assessment Questionnaire (FAQ). RESULTS Compared with the amnestic subgroup, the dysexecutive subgroup declined 2.2X faster on the Folstein MMSE (p<.001), rose 42% faster on the CDR sum of boxes (p = .03) and rose 33% faster on the total FAQ (p = .01). Rate of change for the typical subgroup fell between that of the amnestic and dysexecutive subgroups for the MMSE, CDR sum of boxes and total FAQ. Among a subset of participants (n = 129) who underwent autopsy, the dysexecutive, amnestic and typical subgroups did not differ in odds of having an AD pathologic diagnosis, suggesting that variation in non-AD pathologies across subtypes did not lead to the observed differences. CONCLUSIONS A dysexecutive subgroup of AD has a unique disease course in addition to cognitive phenotype.
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Affiliation(s)
- Jesse Mez
- Gertrude H. Sergievsky Center, College of Physicians and Surgeons, Columbia University, New York, New York, United States of America
- Taub Institute for Research on Alzheimer’s Disease and the Aging Brain, College of Physicians and Surgeons, Columbia University, New York, New York, United States of America
- Department of Neurology, College of Physicians and Surgeons, Columbia University, New York, New York, United States of America
- Department of Biostatistics, Mailman School of Public Health, Columbia University, New York, New York, United States of America
| | - Stephanie Cosentino
- Gertrude H. Sergievsky Center, College of Physicians and Surgeons, Columbia University, New York, New York, United States of America
- Taub Institute for Research on Alzheimer’s Disease and the Aging Brain, College of Physicians and Surgeons, Columbia University, New York, New York, United States of America
- Department of Neurology, College of Physicians and Surgeons, Columbia University, New York, New York, United States of America
| | - Adam M. Brickman
- Gertrude H. Sergievsky Center, College of Physicians and Surgeons, Columbia University, New York, New York, United States of America
- Taub Institute for Research on Alzheimer’s Disease and the Aging Brain, College of Physicians and Surgeons, Columbia University, New York, New York, United States of America
- Department of Neurology, College of Physicians and Surgeons, Columbia University, New York, New York, United States of America
| | - Edward D. Huey
- Gertrude H. Sergievsky Center, College of Physicians and Surgeons, Columbia University, New York, New York, United States of America
- Taub Institute for Research on Alzheimer’s Disease and the Aging Brain, College of Physicians and Surgeons, Columbia University, New York, New York, United States of America
- Department of Neurology, College of Physicians and Surgeons, Columbia University, New York, New York, United States of America
- Department of Psychiatry, College of Physicians and Surgeons, Columbia University, New York, New York, United States of America
| | - Jennifer J. Manly
- Gertrude H. Sergievsky Center, College of Physicians and Surgeons, Columbia University, New York, New York, United States of America
- Taub Institute for Research on Alzheimer’s Disease and the Aging Brain, College of Physicians and Surgeons, Columbia University, New York, New York, United States of America
- Department of Neurology, College of Physicians and Surgeons, Columbia University, New York, New York, United States of America
| | - Richard Mayeux
- Gertrude H. Sergievsky Center, College of Physicians and Surgeons, Columbia University, New York, New York, United States of America
- Taub Institute for Research on Alzheimer’s Disease and the Aging Brain, College of Physicians and Surgeons, Columbia University, New York, New York, United States of America
- Department of Neurology, College of Physicians and Surgeons, Columbia University, New York, New York, United States of America
- Department of Psychiatry, College of Physicians and Surgeons, Columbia University, New York, New York, United States of America
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York, United States of America
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Harciarek M, Cosentino S. Language, executive function and social cognition in the diagnosis of frontotemporal dementia syndromes. Int Rev Psychiatry 2013; 25:178-96. [PMID: 23611348 PMCID: PMC4481322 DOI: 10.3109/09540261.2013.763340] [Citation(s) in RCA: 46] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Frontotemporal dementia (FTD) represents a spectrum of non-Alzheimer's degenerative conditions associated with focal atrophy of the frontal and/or temporal lobes. Frontal and temporal regions of the brain have been shown to be strongly involved in executive function, social cognition and language processing and, thus, deficits in these domains are frequently seen in patients with FTD or may even be hallmarks of a specific FTD subtype (i.e. relatively selective and progressive language impairment in primary progressive aphasia). In this review we have attempted to delineate how language, executive function, and social cognition may contribute to the diagnosis of FTD syndromes, namely the behavioural variant FTD as well as the language variants of FTD including the three subtypes of primary progressive aphasia (PPA): non-fluent/agrammatic, semantic and logopenic. This review also addresses the extent to which deficits in these cognitive areas contribute to the differential diagnosis of FTD versus Alzheimer's disease (AD). Finally, early clinical determinants of pathology are briefly discussed and contemporary challenges to the diagnosis of FTD are presented.
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Affiliation(s)
- Michał Harciarek
- Division of Clinical Psychology and Neuropsychology, Institute of Psychology, University of Gdańsk, Poland.
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