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Toledo JB, Salmon DP, Armstrong MJ, Galasko D. Cognitive decline profiles associated with lewy pathology in the context of Alzheimer's disease neuropathologic change. Alzheimers Res Ther 2024; 16:270. [PMID: 39707423 PMCID: PMC11660495 DOI: 10.1186/s13195-024-01628-z] [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: 05/13/2024] [Accepted: 11/18/2024] [Indexed: 12/23/2024]
Abstract
BACKGROUND Alzheimer's disease neuropathologic change (ADNC) and Lewy pathology (LP) often coexist in cognitively impaired individuals. These pathologies' relative distribution and severity may modify these individuals' clinical presentation, cognitive profile, and prognosis. Therefore, we examined the contributions of LP and concomitant ADNC to disease survival and profiles of cognitive decline in preclinical and clinical stages in a large neuropathologically diagnosed group. METHODS We evaluated 597 participants with LP and 491 participants with intermediate/high ADNC in the absence of LP from the National Alzheimer Coordinating Center (NACC) database. At baseline, 237 participants were cognitively normal (CN), 255 were diagnosed with mild cognitive impairment (MCI), and 596 with dementia. Cognition was assessed using three cognitive domain scores (i.e., Memory, Executive, and Language) from the NACC Uniform Dataset (UDS) neuropsychological test battery, MMSE, and Clinical Dementia Rating (CDR). Multivariate adaptive regression splines were used to evaluate associations between baseline cognitive scores and mean annual rate of change over two years. The likelihood of progression to MCI or dementia was assessed using Cox hazard models. RESULTS Neocortical LP, independent of the clinical diagnosis, was associated with lower Executive and higher Language and Memory scores at baseline, whereas Braak V-VI neurofibrillary tangle pathology was associated with lower Memory and Language scores. Similarly, neocortical LP was associated with faster Executive decline, whereas Braak V-VI neurofibrillary tangle pathology was associated with faster Memory and Language decline. A clinical diagnosis of Lewy Body Dementia (i.e., a strong LP phenotype) was associated with the LP cognitive profile and shorter disease duration. Progression to incident MCI or dementia was primarily associated with the degree of tau pathology; neocortical LP or a diagnosis of Lewy Body Dementia only predicted progression when those with intermediate/high ADNC were excluded. CONCLUSIONS LP and ADNC differentially affected cross-sectional and longitudinal cognitive profiles in a large autopsy sample. Concomitant Braak V-VI neurofibrillary tangle pathology had a strong impact on clinical progression in those with LP, regardless of the initial stage. Thus, LB and ADNC co-pathology interact to affect cognitive domains that may be used to track Lewy Body disease longitudinally and as outcome measures in therapeutic trials.
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Affiliation(s)
- Jon B Toledo
- Stanley H. Appel Department of Neurology, Nantz National Alzheimer Center, Houston Methodist Hospital, Houston, TX, USA.
| | - David P Salmon
- Shiley-Marcos Alzheimer's Disease Research Center, Department of Neurosciences, University of California, San Diego, CA, USA
| | - Melissa J Armstrong
- Department of Neurology, Fixel Institute, University of Florida College of Medicine, Gainesville, FL, USA
| | - Douglas Galasko
- Shiley-Marcos Alzheimer's Disease Research Center, Department of Neurosciences, University of California, San Diego, CA, USA
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Gibson LL, Mueller C, Stewart R, Aarsland D. Characteristics associated with progression to probable dementia with Lewy bodies in a cohort with very late-onset psychosis. Psychol Med 2024; 54:1-10. [PMID: 39324394 PMCID: PMC11496220 DOI: 10.1017/s0033291724001922] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/17/2024] [Revised: 06/27/2024] [Accepted: 07/08/2024] [Indexed: 09/27/2024]
Abstract
BACKGROUND Very late-onset psychosis (VLOP) is associated with higher rates of dementia but the proportion who develop dementia with Lewy bodies (DLB) is unknown. We aimed to identify individuals with VLOP who develop dementia and DLB and characterize the risk factors for progression. METHODS Anonymized data were retrieved from electronic records for individuals with VLOP. Patients developing dementia after psychosis were identified, in addition to those with >2 core features of DLB at the time of dementia or DLB identified by a natural language processing application (NLP-DLB). Demographic factors, Health of the National Outcome Scale (HoNOS) and symptoms at index psychosis were explored as predictors of progression to dementia. RESULTS In 1425 patients with VLOP over 4.29 years (mean) follow up, 197 (13.8%) received a subsequent diagnosis of dementia. Of these, 24.4% (n = 48) had >2 core features of DLB and 6% (n = 12) had NLP-DLB. In cox proportional hazard models, older age and cognitive impairment at the time of psychosis were associated with increased risk of incident dementia. Visual hallucinations and 2+ core features of DLB at index psychosis were associated with increased risk of dementia with 2+ symptoms of DLB but not all-cause dementia. Two or more core features of DLB at index psychosis were associated with 81% specificity and 67% sensitivity for incident NLP-DLB. CONCLUSIONS In patients with VLOP who develop dementia, core features of DLB are common. Visual hallucinations or two core features of DLB in VLOP should prompt clinicians to consider DLB and support further investigation.
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Affiliation(s)
- Lucy L Gibson
- King's College London, Institute of Psychiatry, Psychology and Neuroscience, London, UK
- South London and Maudsley NHS Foundation Trust, London, UK
| | - Christoph Mueller
- King's College London, Institute of Psychiatry, Psychology and Neuroscience, London, UK
- South London and Maudsley NHS Foundation Trust, London, UK
| | - Robert Stewart
- King's College London, Institute of Psychiatry, Psychology and Neuroscience, London, UK
- South London and Maudsley NHS Foundation Trust, London, UK
| | - Dag Aarsland
- King's College London, Institute of Psychiatry, Psychology and Neuroscience, London, UK
- Centre for Age-Related Medicine, Stavanger University Hospital, Stavanger, Norway
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Hasoon J, Hamilton CA, Schumacher J, Colloby S, Donaghy PC, Thomas AJ, Taylor JP. EEG Functional Connectivity Differences Predict Future Conversion to Dementia in Mild Cognitive Impairment With Lewy Body or Alzheimer Disease. Int J Geriatr Psychiatry 2024; 39:e6138. [PMID: 39261275 DOI: 10.1002/gps.6138] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/14/2024] [Revised: 08/04/2024] [Accepted: 08/13/2024] [Indexed: 09/13/2024]
Abstract
BACKGROUND Predicting which individuals may convert to dementia from mild cognitive impairment (MCI) remains difficult in clinical practice. Electroencephalography (EEG) is a widely available investigation but there is limited research exploring EEG connectivity differences in patients with MCI who convert to dementia. METHODS Participants with a diagnosis of MCI due to Alzheimer's disease (MCI-AD) or Lewy body disease (MCI-LB) underwent resting state EEG recording. They were followed up annually with a review of the clinical diagnosis (n = 66). Participants with a diagnosis of dementia at year 1 or year 2 follow up were classed as converters (n = 23) and those with a diagnosis of MCI at year 2 were classed as stable (n = 43). We used phase lag index (PLI) to estimate functional connectivity as well as analysing dominant frequency (DF) and relative band power. The Network-based statistic (NBS) toolbox was used to assess differences in network topology. RESULTS The converting group had reduced DF (U = 285.5, p = 0.005) and increased relative pre-alpha power (U = 702, p = 0.005) consistent with previous findings. PLI showed reduced average beta band synchrony in the converting group (U = 311, p = 0.014) as well as significant differences in alpha and beta network topology. Logistic regression models using regional beta PLI values revealed that right central to right lateral (Sens = 56.5%, Spec = 86.0%, -2LL = 72.48, p = 0.017) and left central to right lateral (Sens = 47.8%, Spec = 81.4%, -2LL = 71.37, p = 0.012) had the best classification accuracy and fit when adjusted for age and MMSE score. CONCLUSION Patients with MCI who convert to dementia have significant differences in EEG frequency, average connectivity and network topology prior to the onset of dementia. The MCI group is clinically heterogeneous and have underlying physiological differences that may be driving the progression of cognitive symptoms. EEG connectivity could be useful to predict which patients with MCI-AD and MCI-LB convert to dementia, regardless of the neurodegenerative aetiology.
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Affiliation(s)
- Jahfer Hasoon
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK
| | - Calum A Hamilton
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK
| | - Julia Schumacher
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK
- Deutsches Zentrum für Neurodegenerative Erkrankungen (DZNE) Rostock-Greifswald, Rostock, Germany
- Department of Neurology, University Medical Center Rostock, Rostock, Germany
| | - Sean Colloby
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK
| | - Paul C Donaghy
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK
| | - Alan J Thomas
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK
| | - John-Paul Taylor
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK
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Hamilton CA, Donaghy PC, Durcan R, Ciafone J, Olsen K, Roberts G, Firbank MJ, Allan LM, Taylor JP, O'Brien JT, Thomas AJ. Outcomes of Patients With Mild Cognitive Impairment With Lewy Bodies or Alzheimer Disease at 3 and 5 Years After Diagnosis. Neurology 2024; 103:e209499. [PMID: 38870460 PMCID: PMC11244743 DOI: 10.1212/wnl.0000000000209499] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2023] [Accepted: 03/26/2024] [Indexed: 06/15/2024] Open
Abstract
BACKGROUND AND OBJECTIVES Retrospective studies indicate that dementia with Lewy bodies (DLB) may be preceded by a mild cognitive impairment (MCI) prodrome. Research criteria for the prospective identification of MCI with Lewy bodies (MCI-LB) have been developed. We aimed to assess the prognosis of a prospectively identified MCI-LB cohort at 2 key milestones, 3- and 5 years after diagnosis, to examine classification stability over time and rates of adverse outcomes (dementia or death). METHODS This was a retrospective examination of data from 2 longitudinal observational cohort studies where participants with MCI were prospectively recruited from North East England and differentially classified as MCI due to Alzheimer disease (MCI-AD), possible MCI-LB, or probable MCI-LB. Adverse outcomes (DLB/other dementia or death) and stability of disease-specific classifications were examined in each group. RESULTS Of 152 participants with baseline MCI (54 MCI-AD, 29 possible MCI-LB, and 69 probable MCI-LB), 126 were followed for up to 3 years (mean age 75.3 years; 40% female). We found that prospective probable MCI-LB classifications were both sensitive (91%) and specific (94%) to classifications either remaining as probable MCI-LB or progressing to DLB (in some cases autopsy confirmed) for 3 or more years after. Classifications were at least as stable as those in MCI-AD. In this cohort with disease-specific MCI classifications, rates of progression to dementia were high: 55% of MCI-LB had developed DLB within 3 years. Dementia occurred in 47% of MCI-AD over the same duration (odds ratio 1.68, 95% CI 0.66-4.26, p = 0.278). Premature death was a common competing risk, occurring in 9% of MCI-AD and 11% of MCI-LB within 3 years. DISCUSSION These findings support that prospectively identified probable MCI-LB is a prodromal presentation of DLB and that disease-specific classifications of MCI may reliably identify different prodromal dementias.
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Affiliation(s)
- Calum A Hamilton
- From the Translational and Clinical Research Institute (C.A.H., P.C.D., R.D., J.C., K.O., G.R., M.J.F., J.-P.T., A.J.T.), Newcastle University; Centre for Research in Ageing and Cognitive Health (L.M.A.), University of Exeter; and Department of Psychiatry (J.T.O.B.), School of Clinical Medicine, University of Cambridge, United Kingdom
| | - Paul C Donaghy
- From the Translational and Clinical Research Institute (C.A.H., P.C.D., R.D., J.C., K.O., G.R., M.J.F., J.-P.T., A.J.T.), Newcastle University; Centre for Research in Ageing and Cognitive Health (L.M.A.), University of Exeter; and Department of Psychiatry (J.T.O.B.), School of Clinical Medicine, University of Cambridge, United Kingdom
| | - Rory Durcan
- From the Translational and Clinical Research Institute (C.A.H., P.C.D., R.D., J.C., K.O., G.R., M.J.F., J.-P.T., A.J.T.), Newcastle University; Centre for Research in Ageing and Cognitive Health (L.M.A.), University of Exeter; and Department of Psychiatry (J.T.O.B.), School of Clinical Medicine, University of Cambridge, United Kingdom
| | - Joanna Ciafone
- From the Translational and Clinical Research Institute (C.A.H., P.C.D., R.D., J.C., K.O., G.R., M.J.F., J.-P.T., A.J.T.), Newcastle University; Centre for Research in Ageing and Cognitive Health (L.M.A.), University of Exeter; and Department of Psychiatry (J.T.O.B.), School of Clinical Medicine, University of Cambridge, United Kingdom
| | - Kirsty Olsen
- From the Translational and Clinical Research Institute (C.A.H., P.C.D., R.D., J.C., K.O., G.R., M.J.F., J.-P.T., A.J.T.), Newcastle University; Centre for Research in Ageing and Cognitive Health (L.M.A.), University of Exeter; and Department of Psychiatry (J.T.O.B.), School of Clinical Medicine, University of Cambridge, United Kingdom
| | - Gemma Roberts
- From the Translational and Clinical Research Institute (C.A.H., P.C.D., R.D., J.C., K.O., G.R., M.J.F., J.-P.T., A.J.T.), Newcastle University; Centre for Research in Ageing and Cognitive Health (L.M.A.), University of Exeter; and Department of Psychiatry (J.T.O.B.), School of Clinical Medicine, University of Cambridge, United Kingdom
| | - Michael J Firbank
- From the Translational and Clinical Research Institute (C.A.H., P.C.D., R.D., J.C., K.O., G.R., M.J.F., J.-P.T., A.J.T.), Newcastle University; Centre for Research in Ageing and Cognitive Health (L.M.A.), University of Exeter; and Department of Psychiatry (J.T.O.B.), School of Clinical Medicine, University of Cambridge, United Kingdom
| | - Louise M Allan
- From the Translational and Clinical Research Institute (C.A.H., P.C.D., R.D., J.C., K.O., G.R., M.J.F., J.-P.T., A.J.T.), Newcastle University; Centre for Research in Ageing and Cognitive Health (L.M.A.), University of Exeter; and Department of Psychiatry (J.T.O.B.), School of Clinical Medicine, University of Cambridge, United Kingdom
| | - John-Paul Taylor
- From the Translational and Clinical Research Institute (C.A.H., P.C.D., R.D., J.C., K.O., G.R., M.J.F., J.-P.T., A.J.T.), Newcastle University; Centre for Research in Ageing and Cognitive Health (L.M.A.), University of Exeter; and Department of Psychiatry (J.T.O.B.), School of Clinical Medicine, University of Cambridge, United Kingdom
| | - John T O'Brien
- From the Translational and Clinical Research Institute (C.A.H., P.C.D., R.D., J.C., K.O., G.R., M.J.F., J.-P.T., A.J.T.), Newcastle University; Centre for Research in Ageing and Cognitive Health (L.M.A.), University of Exeter; and Department of Psychiatry (J.T.O.B.), School of Clinical Medicine, University of Cambridge, United Kingdom
| | - Alan J Thomas
- From the Translational and Clinical Research Institute (C.A.H., P.C.D., R.D., J.C., K.O., G.R., M.J.F., J.-P.T., A.J.T.), Newcastle University; Centre for Research in Ageing and Cognitive Health (L.M.A.), University of Exeter; and Department of Psychiatry (J.T.O.B.), School of Clinical Medicine, University of Cambridge, United Kingdom
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Cheng S, Yin R, Wu K, Wang Q, Zhang H, Ling L, Chen W, Shi L. Trajectories and influencing factors of cognitive function and physical disability in Chinese older people. Front Public Health 2024; 12:1380657. [PMID: 39026589 PMCID: PMC11256785 DOI: 10.3389/fpubh.2024.1380657] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2024] [Accepted: 06/24/2024] [Indexed: 07/20/2024] Open
Abstract
Introduction Dementia and physical disability are serious problems faced by the aging population, and their occurrence and development interact. Methods Based on data from a national cohort of Chinese people aged 60 years and above from the China Health and Retirement Longitudinal Survey from 2011 to 2018, we applied the group-based trajectory model to identify the heterogeneous trajectories of cognitive function and physical disability in participants with different physical disability levels. Next, multinomial logistic regression models were used to explore the factors affecting these trajectories. Results The cognitive function trajectories of the Chinese older people could be divided into three characteristic groups: those who maintained the highest baseline level of cognitive function, those with a moderate baseline cognitive function and dramatic progression, and those with the worst baseline cognitive function and rapid-slow-rapid progression. The disability trajectories also fell into three characteristic groups: a consistently low baseline disability level, a low initial disability level with rapid development, and a high baseline disability level with rapid development. Compared with those free of physical disability at baseline, a greater proportion of participants who had physical disability at baseline experienced rapid cognitive deterioration. Education, income, type of medical insurance, gender, and marital status were instrumental in the progression of disability and cognitive decline in the participants. Discussion We suggest that the Chinese government, focusing on the central and western regions and rural areas, should develop education for the older people and increase their level of economic security to slow the rate of cognitive decline and disability among this age group. These could become important measures to cope with population aging.
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Affiliation(s)
- Shuyuan Cheng
- International Cooperation and Exchange Department, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
- Health Policy and Management Department, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, United States
| | - Rong Yin
- Department of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Kunpeng Wu
- Department of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Qiong Wang
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Hui Zhang
- Department of Health Policy and Management, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Li Ling
- Department of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Wen Chen
- Department of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Leiyu Shi
- Department of Health Policy and Management, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, United States
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Wyman-Chick KA, Chaudhury P, Bayram E, Abdelnour C, Matar E, Chiu SY, Ferreira D, Hamilton CA, Donaghy PC, Rodriguez-Porcel F, Toledo JB, Habich A, Barrett MJ, Patel B, Jaramillo-Jimenez A, Scott GD, Kane JPM. Differentiating Prodromal Dementia with Lewy Bodies from Prodromal Alzheimer's Disease: A Pragmatic Review for Clinicians. Neurol Ther 2024; 13:885-906. [PMID: 38720013 PMCID: PMC11136939 DOI: 10.1007/s40120-024-00620-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/26/2024] [Accepted: 04/05/2024] [Indexed: 05/12/2024] Open
Abstract
This pragmatic review synthesises the current understanding of prodromal dementia with Lewy bodies (pDLB) and prodromal Alzheimer's disease (pAD), including clinical presentations, neuropsychological profiles, neuropsychiatric symptoms, biomarkers, and indications for disease management. The core clinical features of dementia with Lewy bodies (DLB)-parkinsonism, complex visual hallucinations, cognitive fluctuations, and REM sleep behaviour disorder are common prodromal symptoms. Supportive clinical features of pDLB include severe neuroleptic sensitivity, as well as autonomic and neuropsychiatric symptoms. The neuropsychological profile in mild cognitive impairment attributable to Lewy body pathology (MCI-LB) tends to include impairment in visuospatial skills and executive functioning, distinguishing it from MCI due to AD, which typically presents with impairment in memory. pDLB may present with cognitive impairment, psychiatric symptoms, and/or recurrent episodes of delirium, indicating that it is not necessarily synonymous with MCI-LB. Imaging, fluid and other biomarkers may play a crucial role in differentiating pDLB from pAD. The current MCI-LB criteria recognise low dopamine transporter uptake using positron emission tomography or single photon emission computed tomography (SPECT), loss of REM atonia on polysomnography, and sympathetic cardiac denervation using meta-iodobenzylguanidine SPECT as indicative biomarkers with slowing of dominant frequency on EEG among others as supportive biomarkers. This review also highlights the emergence of fluid and skin-based biomarkers. There is little research evidence for the treatment of pDLB, but pharmacological and non-pharmacological treatments for DLB may be discussed with patients. Non-pharmacological interventions such as diet, exercise, and cognitive stimulation may provide benefit, while evaluation and management of contributing factors like medications and sleep disturbances are vital. There is a need to expand research across diverse patient populations to address existing disparities in clinical trial participation. In conclusion, an early and accurate diagnosis of pDLB or pAD presents an opportunity for tailored interventions, improved healthcare outcomes, and enhanced quality of life for patients and care partners.
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Affiliation(s)
- Kathryn A Wyman-Chick
- Struthers Parkinson's Center and Center for Memory and Aging, Department of Neurology, HealthPartners/Park Nicollet, Bloomington, USA.
| | - Parichita Chaudhury
- Cleo Roberts Memory and Movement Center, Banner Sun Health Research Institute, Sun City, USA
| | - Ece Bayram
- Parkinson and Other Movement Disorders Center, University of California San Diego, San Diego, USA
| | - Carla Abdelnour
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Palo Alto, USA
| | - Elie Matar
- Central Clinical School, Faculty of Medicine and Health, University of Sydney, Sydney, Australia
| | - Shannon Y Chiu
- Department of Neurology, Mayo Clinic Arizona, Phoenix, USA
| | - Daniel Ferreira
- Division of Clinical Geriatrics, Center for Alzheimer Research, Karolinska Institute, Solna, Sweden
- Department of Radiology, Mayo Clinic Rochester, Rochester, USA
- Facultad de Ciencias de la Salud, Universidad Fernando Pessoa Canarias, Las Palmas, Spain
| | - Calum A Hamilton
- Translational and Clinical Research Institute, Newcastle University, Newcastle Upon Tyne, UK
| | - Paul C Donaghy
- Translational and Clinical Research Institute, Newcastle University, Newcastle Upon Tyne, UK
| | | | - Jon B Toledo
- Nantz National Alzheimer Center, Stanley Appel Department of Neurology, Houston Methodist Hospital, Houston, USA
| | - Annegret Habich
- Division of Clinical Geriatrics, Center for Alzheimer Research, Karolinska Institute, Solna, Sweden
- University Hospital of Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland
| | - Matthew J Barrett
- Department of Neurology, Parkinson's and Movement Disorders Center, Virginia Commonwealth University, Richmond, USA
| | - Bhavana Patel
- Department of Neurology, College of Medicine, University of Florida, Gainesville, USA
- Norman Fixel Institute for Neurologic Diseases, University of Florida, Gainesville, USA
| | - Alberto Jaramillo-Jimenez
- Centre for Age-Related Medicine, Stavanger University Hospital, Stavanger, Norway
- School of Medicine, Grupo de Neurociencias de Antioquia, Universidad de Antioquia, Medellín, Colombia
| | - Gregory D Scott
- Department of Pathology and Laboratory Services, VA Portland Medical Center, Portland, USA
| | - Joseph P M Kane
- Centre for Public Health, Queen's University Belfast, Belfast, UK
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Hamilton CA, Gallagher P, Ciafone J, Barnett N, Barker SAH, Donaghy PC, O'Brien JT, Taylor JP, Thomas AJ. Sustained attention in mild cognitive impairment with Lewy bodies and Alzheimer's disease. J Int Neuropsychol Soc 2024; 30:421-427. [PMID: 38017617 DOI: 10.1017/s1355617723000772] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/30/2023]
Abstract
OBJECTIVE Attentional impairments are common in dementia with Lewy bodies and its prodromal stage of mild cognitive impairment (MCI) with Lewy bodies (MCI-LB). People with MCI may be capable of compensating for subtle attentional deficits in most circumstances, and so these may present as occasional lapses of attention. We aimed to assess the utility of a continuous performance task (CPT), which requires sustained attention for several minutes, for measuring attentional performance in MCI-LB in comparison to Alzheimer's disease (MCI-AD), and any performance deficits which emerged with sustained effort. METHOD We included longitudinal data on a CPT sustained attention task for 89 participants with MCI-LB or MCI-AD and 31 healthy controls, estimating ex-Gaussian response time parameters, omission and commission errors. Performance trajectories were estimated both cross-sectionally (intra-task progress from start to end) and longitudinally (change in performance over years). RESULTS While response times in successful trials were broadly similar, with slight slowing associated with clinical parkinsonism, those with MCI-LB made considerably more errors. Omission errors were more common throughout the task in MCI-LB than MCI-AD (OR 2.3, 95% CI: 1.1-4.7), while commission errors became more common after several minutes of sustained attention. Within MCI-LB, omission errors were more common in those with clinical parkinsonism (OR 1.9, 95% CI: 1.3-2.9) or cognitive fluctuations (OR 4.3, 95% CI: 2.2-8.8). CONCLUSIONS Sustained attention deficits in MCI-LB may emerge in the form of attentional lapses leading to omissions, and a breakdown in inhibitory control leading to commission errors.
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Affiliation(s)
- Calum A Hamilton
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK
| | - Peter Gallagher
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK
| | - Joanna Ciafone
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK
| | - Nicola Barnett
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK
| | - Sally A H Barker
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK
| | - Paul C Donaghy
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK
| | - John T O'Brien
- Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - John-Paul Taylor
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK
| | - Alan J Thomas
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK
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8
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Hamilton CA, O'Brien J, Heslegrave A, Laban R, Donaghy P, Durcan R, Lawley S, Barnett N, Roberts G, Firbank M, Taylor JP, Zetterberg H, Thomas A. Plasma biomarkers of neurodegeneration in mild cognitive impairment with Lewy bodies. Psychol Med 2023; 53:7865-7873. [PMID: 37489795 PMCID: PMC10755229 DOI: 10.1017/s0033291723001952] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/17/2023] [Revised: 05/17/2023] [Accepted: 06/23/2023] [Indexed: 07/26/2023]
Abstract
BACKGROUND Blood biomarkers of Alzheimer's disease (AD) may allow for the early detection of AD pathology in mild cognitive impairment (MCI) due to AD (MCI-AD) and as a co-pathology in MCI with Lewy bodies (MCI-LB). However not all cases of MCI-LB will feature AD pathology. Disease-general biomarkers of neurodegeneration, such as glial fibrillary acidic protein (GFAP) or neurofilament light (NfL), may therefore provide a useful supplement to AD biomarkers. We aimed to compare the relative utility of plasma Aβ42/40, p-tau181, GFAP and NfL in differentiating MCI-AD and MCI-LB from cognitively healthy older adults, and from one another. METHODS Plasma samples were analysed for 172 participants (31 healthy controls, 48 MCI-AD, 28 possible MCI-LB and 65 probable MCI-LB) at baseline, and a subset (n = 55) who provided repeated samples after ≥1 year. Samples were analysed with a Simoa 4-plex assay for Aβ42, Aβ40, GFAP and NfL, and incorporated previously-collected p-tau181 from this same cohort. RESULTS Probable MCI-LB had elevated GFAP (p < 0.001) and NfL (p = 0.012) relative to controls, but not significantly lower Aβ42/40 (p = 0.06). GFAP and p-tau181 were higher in MCI-AD than MCI-LB. GFAP discriminated all MCI subgroups, from controls (AUC of 0.75), but no plasma-based marker effectively differentiated MCI-AD from MCI-LB. NfL correlated with disease severity and increased with MCI progression over time (p = 0.011). CONCLUSION Markers of AD and astrocytosis/neurodegeneration are elevated in MCI-LB. GFAP offered similar utility to p-tau181 in distinguishing MCI overall, and its subgroups, from healthy controls.
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Affiliation(s)
| | - John O'Brien
- Department of Psychiatry, University of Cambridge School of Clinical Medicine, Cambridge, UK
| | - Amanda Heslegrave
- UK Dementia Research Institute, London, UK
- Department of Neurodegenerative Disease, University College London, London, UK
| | | | - Paul Donaghy
- Translational and Clinical Research Institute, Newcastle University, Newcastle, UK
| | - Rory Durcan
- Translational and Clinical Research Institute, Newcastle University, Newcastle, UK
| | - Sarah Lawley
- Translational and Clinical Research Institute, Newcastle University, Newcastle, UK
| | - Nicola Barnett
- Translational and Clinical Research Institute, Newcastle University, Newcastle, UK
| | - Gemma Roberts
- Translational and Clinical Research Institute, Newcastle University, Newcastle, UK
- Nuclear Medicine Department, Newcastle upon Tyne Hospitals NHS Foundation Trust, Newcastle, UK
| | - Michael Firbank
- Translational and Clinical Research Institute, Newcastle University, Newcastle, UK
| | - John-Paul Taylor
- Translational and Clinical Research Institute, Newcastle University, Newcastle, UK
| | - Henrik Zetterberg
- UK Dementia Research Institute, London, UK
- Department of Neurodegenerative Disease, University College London, London, UK
- Department of Psychiatry and Neurochemistry, University of Gothenburg, Gothenburg, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Gothenburg, Sweden
- Hong Kong Center for Neurodegenerative Diseases, Hong Kong, China
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA
| | - Alan Thomas
- Translational and Clinical Research Institute, Newcastle University, Newcastle, UK
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9
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Wang X, Ye T, Zhou W, Zhang J. Uncovering heterogeneous cognitive trajectories in mild cognitive impairment: a data-driven approach. Alzheimers Res Ther 2023; 15:57. [PMID: 36941651 PMCID: PMC10026406 DOI: 10.1186/s13195-023-01205-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2022] [Accepted: 03/12/2023] [Indexed: 03/23/2023]
Abstract
BACKGROUND Given the complex and progressive nature of mild cognitive impairment (MCI), the ability to delineate and understand the heterogeneous cognitive trajectories is crucial for developing personalized medicine and informing trial design. The primary goals of this study were to examine whether different cognitive trajectories can be identified within subjects with MCI and, if present, to characterize each trajectory in relation to changes in all major Alzheimer's disease (AD) biomarkers over time. METHODS Individuals with a diagnosis of MCI at the first visit and ≥ 1 follow-up cognitive assessment were selected from the Alzheimer's Disease Neuroimaging Initiative database (n = 936; age 73 ± 8; 40% female; 16 ± 3 years of education; 50% APOE4 carriers). Based on the Alzheimer's Disease Assessment Scale-Cognitive Subscale-13 (ADAS-Cog-13) total scores from baseline up to 5 years follow-up, a non-parametric k-means longitudinal clustering method was performed to obtain clusters of individuals with similar patterns of cognitive decline. We further conducted a series of linear mixed-effects models to study the associations of cluster membership with longitudinal changes in other cognitive measures, neurodegeneration, and in vivo AD pathologies. RESULTS Four distinct cognitive trajectories emerged. Cluster 1 consisted of 255 individuals (27%) with a nearly non-existent rate of change in the ADAS-Cog-13 over 5 years of follow-up and a healthy-looking biomarker profile. Individuals in the cluster 2 (n = 336, 35%) and 3 (n = 240, 26%) groups showed relatively mild and moderate cognitive decline trajectories, respectively. Cluster 4, comprising about 11% of our study sample (n = 105), exhibited an aggressive cognitive decline trajectory and was characterized by a pronouncedly abnormal biomarker profile. CONCLUSIONS Individuals with MCI show substantial heterogeneity in cognitive decline. Our findings may potentially contribute to improved trial design and patient stratification.
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Affiliation(s)
- Xiwu Wang
- Department of Psychiatry, Wenzhou Seventh People's Hospital, Wenzhou, China
| | - Teng Ye
- Department of Ultrasound, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Wenjun Zhou
- Research and Development, Hangzhou Shansier Medical Technologies Co., Ltd., Hangzhou, China.
| | - Jie Zhang
- Department of Data Science, Hangzhou Shansier Medical Technologies Co., Ltd., Hangzhou, China.
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10
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Neuropsychological Impairments and Their Cognitive Architecture in Mild Cognitive Impairment (MCI) with Lewy Bodies and MCI-Alzheimer's Disease. J Int Neuropsychol Soc 2022; 28:963-973. [PMID: 34666864 DOI: 10.1017/s1355617721001181] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
OBJECTIVE The present study aimed to clarify the neuropsychological profile of the emergent diagnostic category of Mild Cognitive Impairment with Lewy bodies (MCI-LB) and determine whether domain-specific impairments such as in memory were related to deficits in domain-general cognitive processes (executive function or processing speed). METHOD Patients (n = 83) and healthy age- and sex-matched controls (n = 34) underwent clinical and imaging assessments. Probable MCI-LB (n = 44) and MCI-Alzheimer's disease (AD) (n = 39) were diagnosed following National Institute on Aging-Alzheimer's Association (NIA-AA) and dementia with Lewy bodies (DLB) consortium criteria. Neuropsychological measures included cognitive and psychomotor speed, executive function, working memory, and verbal and visuospatial recall. RESULTS MCI-LB scored significantly lower than MCI-AD on processing speed [Trail Making Test B: p = .03, g = .45; Digit Symbol Substitution Test (DSST): p = .04, g = .47; DSST Error Check: p < .001, g = .68] and executive function [Trail Making Test Ratio (A/B): p = .04, g = .52] tasks. MCI-AD performed worse than MCI-LB on memory tasks, specifically visuospatial (Modified Taylor Complex Figure: p = .01, g = .46) and verbal (Rey Auditory Verbal Learning Test: p = .04, g = .42) delayed recall measures. Stepwise discriminant analysis correctly classified the subtype in 65.1% of MCI patients (72.7% specificity, 56.4% sensitivity). Processing speed accounted for more group-associated variance in visuospatial and verbal memory in both MCI subtypes than executive function, while no significant relationships between measures were observed in controls (all ps > .05). CONCLUSIONS MCI-LB was characterized by executive dysfunction and slowed processing speed but did not show the visuospatial dysfunction expected, while MCI-AD displayed an amnestic profile. However, there was considerable neuropsychological profile overlap and processing speed mediated performance in both MCI subtypes.
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11
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Thomas AJ, Hamilton CA, Heslegrave A, Barker S, Durcan R, Lawley S, Barnett N, Lett D, Firbank M, Roberts G, Taylor JP, Donaghy PC, Zetterberg H, O'Brien J. A Longitudinal Study of Plasma pTau181 in Mild Cognitive Impairment with Lewy Bodies and Alzheimer's Disease. Mov Disord 2022; 37:1495-1504. [PMID: 35318733 PMCID: PMC9540809 DOI: 10.1002/mds.28994] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2021] [Revised: 02/23/2022] [Accepted: 02/28/2022] [Indexed: 12/26/2022] Open
Abstract
BACKGROUND Alzheimer's disease (AD) co-pathology is common in dementia with Lewy bodies and is associated with increased decline. Plasma pTau181 is a blood-based biomarker that can detect AD co-pathology. OBJECTIVES We investigated whether pTau181 was associated with cognitive decline in mild cognitive impairment with Lewy bodies (MCI-LB) and MCI with AD (MCI-AD). METHODS We assessed plasma pTau181 using a single-molecule array (Simoa) immunoassay at baseline and follow-up in a longitudinal cohort of MCI-LB, MCI-AD, and controls. RESULTS One hundred forty-six subjects (56 probable MCI-LB, 22 possible MCI-LB, 44 MCI-AD, and 24 controls) were reviewed for up to 5.7 years. Probable MCI-LB had significantly higher pTau181 (22.2% mean increase) compared with controls and significantly lower (24.4% mean decrease) levels compared with MCI-AD. Receiver operating characteristic analyses of pTau181 in discriminating probable MCI-LB from controls showed an area under the curve (AUC) of 0.68 (83% specificity, 57% sensitivity); for discriminating MCI-AD from healthy controls, AUC was 0.8 (83.3% specificity, 72.7% sensitivity). pTau181 concentration was less useful in discriminating between probable MCI-LB and MCI-AD: AUC of 0.64 (71.4% specificity, 52.3% sensitivity). There was an association between pTau181 and cognitive decline in MCI-AD but not in MCI-LB. In a subset with repeat samples there was a nonsignificant 3% increase per follow-up year in plasma pTau181. The rate of change in pTau181 was not significantly different in different diagnostic subgroups. CONCLUSIONS pTau181 was not associated with an increased decline assessed using either baseline or repeat pTau181. pTau181 partially discriminated probable MCI-LB from controls and MCI-AD from controls but was not useful in distinguishing probable MCI-LB from MCI-AD.
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Affiliation(s)
- Alan J Thomas
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, United Kingdom
| | - Calum A Hamilton
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, United Kingdom
| | - Amanda Heslegrave
- UK Dementia Research Institute at UCL, London, United Kingdom.,Department of Neurodegenerative Disease, UCL Institute of Neurology, London, United Kingdom
| | - Sally Barker
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, United Kingdom
| | - Rory Durcan
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, United Kingdom
| | - Sarah Lawley
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, United Kingdom
| | - Nicola Barnett
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, United Kingdom
| | - Debbie Lett
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, United Kingdom
| | - Michael Firbank
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, United Kingdom
| | - Gemma Roberts
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, United Kingdom.,Nuclear Medicine Department, Newcastle upon Tyne Hospitals NHS Foundation Trust, Newcastle upon Tyne, United Kingdom
| | - John-Paul Taylor
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, United Kingdom
| | - Paul C Donaghy
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, United Kingdom
| | - Henrik Zetterberg
- UK Dementia Research Institute at UCL, London, United Kingdom.,Department of Neurodegenerative Disease, UCL Institute of Neurology, London, United Kingdom.,Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden.,Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden.,Hong Kong Center for Neurodegenerative Diseases, Hong Kong, China
| | - John O'Brien
- Department of Psychiatry, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom
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12
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Hamilton CA, Matthews FE, Allan LM, Barker S, Ciafone J, Donaghy PC, Durcan R, Firbank MJ, Lawley S, O'Brien JT, Roberts G, Taylor JP, Thomas AJ. Utility of the pareidolia test in mild cognitive impairment with Lewy bodies and Alzheimer's disease. Int J Geriatr Psychiatry 2021; 36:1407-1414. [PMID: 33772864 DOI: 10.1002/gps.5546] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/29/2020] [Revised: 03/09/2021] [Accepted: 03/21/2021] [Indexed: 11/11/2022]
Abstract
OBJECTIVES Previous research has identified that dementia with Lewy bodies (DLB) has abnormal pareidolic responses which are associated with severity of visual hallucinations (VH), and the pareidolia test accurately classifies DLB with VH. We aimed to assess whether these findings would also be evident at the earlier stage of mild cognitive impairment (MCI) with Lewy bodies (MCI-LB) in comparison to MCI due to AD (MCI-AD) and cognitively healthy comparators. METHODS One-hundred and thirty-seven subjects were assessed prospectively in a longitudinal study with a mean follow-up of 1.2 years (max = 3.7): 63 MCI-LB (22% with VH) and 40 MCI-AD according to current research diagnostic criteria, and 34 healthy comparators. The pareidolia test was administered annually as a repeated measure. RESULTS Probable MCI-LB had an estimated pareidolia rate 1.2-6.7 times higher than MCI-AD. Pareidolia rates were not associated with concurrent VH, but had a weak association with total score on the North East Visual Hallucinations Inventory. The pareidolia test was not an accurate classifier of either MCI-LB (Area under curve (AUC) = 0.61), or VH (AUC = 0.56). There was poor sensitivity when differentiating MCI-LB from controls (41%) or MCI-AD (27%), though specificity was better (91% and 89%, respectively). CONCLUSIONS Whilst pareidolic responses are specifically more frequent in MCI-LB than MCI-AD, sensitivity of the pareidolia test is poorer than in DLB, with fewer patients manifesting VH at the earlier MCI stage. However, the high specificity and ease of use may make it useful in specialist clinics where imaging biomarkers are not available.
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Affiliation(s)
- Calum A Hamilton
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK
| | - Fiona E Matthews
- Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne, UK
| | - Louise M Allan
- College of Medicine and Health, Exeter University, Exeter, UK
| | - Sally Barker
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK
| | - Joanna Ciafone
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK
| | - Paul C Donaghy
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK
| | - Rory Durcan
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK
| | - Michael J Firbank
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK
| | - Sarah Lawley
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK
| | - John T O'Brien
- Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - Gemma Roberts
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK.,Nuclear Medicine Department, Newcastle upon Tyne Hospitals NHS Foundation Trust, Newcastle upon Tyne, UK
| | - John-Paul Taylor
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK
| | - Alan J Thomas
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK
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