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Takasaki A, Hashimoto M, Fukuhara R, Sakuta S, Koyama A, Ishikawa T, Boku S, Ikeda M, Takebayashi M. Gesture imitation performance in community-dwelling older people: assessment of a gesture imitation task in the screening and diagnosis of mild cognitive impairment and dementia. Psychogeriatrics 2024; 24:404-414. [PMID: 38290836 DOI: 10.1111/psyg.13086] [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: 10/11/2023] [Revised: 01/02/2024] [Accepted: 01/16/2024] [Indexed: 02/01/2024]
Abstract
BACKGROUND Gesture imitation, a simple tool for assessing visuospatial/visuoconstructive functions, is reportedly useful for screening and diagnosing dementia. However, gesture imitation performance in healthy older adults is largely unknown, as are the factors associated with lower performance. To address these unknowns, we examined the gesture imitation performance of a large number of community-dwelling older adults aged ≥65 years in Arao City, Kumamoto Prefecture (southern Japan). METHODS The examiner presented the participants with eight gesture patterns and considered it a success if they could imitate them within 10 s. The success rate of each gesture imitation was calculated for three diagnostic groups: cognitively normal (CN) (n = 1184), mild cognitive impairment (MCI) (n = 237), and dementia (n = 47). Next, we reorganised the original gesture imitation battery by combining six selected gestures with the following scoring method: if the participants successfully imitated the gestures, immediately or within 5 s, two points were assigned. If they succeeded within 5-10 s, one point was assigned. The sensitivity and specificity of the battery were investigated to detect the dementia and MCI groups. Factors associated with gesture imitation battery scores were examined. RESULTS Except one complex gesture, the success rate of imitation in the CN group was high, approximately 90%. The sensitivity and specificity of the gesture imitation battery for discriminating between the dementia and CN groups and between the MCI and CN groups were 70%/88%, and 45%/75%, respectively. Ageing, male sex, and a diagnosis of dementia or MCI were associated with lower scores on the gesture imitation battery. CONCLUSION Gesture imitation tasks alone may not be sufficient to detect MCI. However, by combining gestures with set time limits, gesture imitation tasks can be a low-burden and effective method for detecting dementia, even in community medicine, such as during health check-ups.
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Affiliation(s)
- Akihiro Takasaki
- Graduate School of Medical Sciences, Kumamoto University, Kumamoto, Japan
| | - Mamoru Hashimoto
- Department of Neuropsychiatry, Kindai University Faculty of Medicine, Osakasayama, Japan
| | - Ryuji Fukuhara
- Department of Psychiatry, Kagoshima University Graduate School of Medical and Dental Sciences, Kagoshima, Japan
| | - Shizuka Sakuta
- Department of Neuropsychiatry, Kindai University Faculty of Medicine, Osakasayama, Japan
| | - Asuka Koyama
- Faculty of Social Welfare, Kumamoto Gakuen University, Kumamoto, Japan
| | | | - Shuken Boku
- Department of Neuropsychiatry, Faculty of Life Sciences, Kumamoto University, Kumamoto, Japan
| | - Manabu Ikeda
- Department of Psychiatry, Osaka University Graduate School of Medicine, Suita, Japan
| | - Minoru Takebayashi
- Department of Neuropsychiatry, Faculty of Life Sciences, Kumamoto University, Kumamoto, Japan
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Jellinger KA. Mild cognitive impairment in dementia with Lewy bodies: an update and outlook. J Neural Transm (Vienna) 2023; 130:1491-1508. [PMID: 37418039 DOI: 10.1007/s00702-023-02670-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2023] [Accepted: 06/29/2023] [Indexed: 07/08/2023]
Abstract
Dementia with Lewy bodies (DLB), the second most common degenerative neurocognitive disorder after Alzheimer disease (AD), is frequently preceded by a period of mild cognitive impairment (MCI), in which cognitive decline is associated with impairment of executive functions/attention, visuospatial deficits, or other cognitive domains and a variety of noncognitive and neuropsychiatric symptoms, many of which are similar but less severe than in prodromal AD. While 36-38% remain in the MCI state, at least the same will convert to dementia. Biomarkers are slowing of the EEG rhythms, atrophy of hippocampus and nucleus basalis of Meynert, temporoparietal hypoperfusion, signs of degeneration of the nigrostriatal dopaminergic, cholinergic and other neurotransmitter systems, and inflammation. Functional neuroimaging studies revealed disturbed connectivity of frontal and limbic networks associated with attention and cognitive controls, dopaminergic and cholinergic circuits manifested prior to overt brain atrophy. Sparse neuropathological data showed varying Lewy body and AD-related stages associated with atrophy of entorhinal, hippocampal, and mediotemporal cortices. Putative pathomechanisms of MCI are degeneration of limbic, dopaminergic, and cholinergic systems with Lewy pathology affecting specific neuroanatomical pathways associated with progressing AD-related lesions, but many pathobiological mechanisms involved in the development of MCI in LBD remain to be elucidated as a basis for early diagnosis and future adequate treatment modalities to prevent progression of this debilitating disorder.
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Affiliation(s)
- Kurt A Jellinger
- Institute of Clinical Neurobiology, Alberichgasse 5/13, 1150, Vienna, Austria.
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Fiamingo G, Capittini C, De Silvestri A, Rebuffi C, Cerami C, Arnaldi D, Terzaghi M. Neuropsychological evaluation of phenoconversion risk in REM sleep behaviour disorder: A scoping review. J Sleep Res 2023; 32:e13873. [PMID: 36958793 DOI: 10.1111/jsr.13873] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2022] [Revised: 02/25/2023] [Accepted: 02/27/2023] [Indexed: 03/25/2023]
Abstract
The objective of this study was to assess the role of cognitive evaluation in the prediction of phenoconversion in polysomnography-confirmed idiopathic or isolated rapid eye movement sleep behaviour disorder, through a scoping review focussing on a longitudinal comprehensive neuropsychological assessment of patients with idiopathic REM sleep behaviour disorder. A literature search (2006-2022) yielded 1034 records, and 20 were selected for analysis. The sample included 899 patients from eight different cohorts and five countries. We extracted data on clinical evolution, mild cognitive impairment diagnosis, neuropsychological tests used, and classification of cognitive domains. Tests, cognitive domains, and mild cognitive impairment definitions were heterogeneous across the studies, precluding a meta-analysis. Ten studies (50%) evaluated the presence of mild cognitive impairment; 14 studies (70%) grouped neuropsychological tests into between three (6 studies, 21.4%) and seven (1 study, 7.1%) cognitive domains. The most frequently used tests were semantic fluency, Stroop colour word test, trail making test A and B, digit span, Rey auditory verbal learning test, and Rey-Osterrieth figure. All except digit span showed a role in predicting phenoconversion. The authors did not consistently assign tests to specific cognitive domains. In conclusion, we discuss methodological differences between the studies and highlight the need for a standardised framework for neuropsychological data acquisition and presentation, based on a multilevel approach covering test selection, domain assignment, and mild cognitive impairment diagnostic criteria.
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Affiliation(s)
- Giuseppe Fiamingo
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
| | - Cristina Capittini
- Clinical Epidemiology and Biometric Unit, Scientific Direction, IRCCS Policlinico S. Matteo Foundation, Pavia, Italy
| | - Annalisa De Silvestri
- Clinical Epidemiology and Biometric Unit, Scientific Direction, IRCCS Policlinico S. Matteo Foundation, Pavia, Italy
| | | | - Chiara Cerami
- Scuola Universitaria di Studi Superiori IUSS, Pavia, Italy
- Cognitive Computational Neuroscience Research Unit, IRCCS Mondino Foundation, Pavia, Italy
| | - Dario Arnaldi
- Clinical Neurology, DINOGMI, University of Genoa, Genoa, Italy
- IRCSS Ospedale Policlinico San Martino, Genoa, Italy
| | - Michele Terzaghi
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
- Unit of Sleep Medicine and Epilepsy, IRCSS Mondino Foundation, Pavia, Italy
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Donaghy PC, Carrarini C, Ferreira D, Habich A, Aarsland D, Babiloni C, Bayram E, Kane JP, Lewis SJ, Pilotto A, Thomas AJ, Bonanni L. Research diagnostic criteria for mild cognitive impairment with Lewy bodies: A systematic review and meta-analysis. Alzheimers Dement 2023; 19:3186-3202. [PMID: 37096339 PMCID: PMC10695683 DOI: 10.1002/alz.13105] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2023] [Revised: 03/22/2023] [Accepted: 03/23/2023] [Indexed: 04/26/2023]
Abstract
INTRODUCTION Operationalized research criteria for mild cognitive impairment with Lewy bodies (MCI-LB) were published in 2020. The aim of this systematic review and meta-analysis was to review the evidence for the diagnostic clinical features and biomarkers in MCI-LB set out in the criteria. METHODS MEDLINE, PubMed, and Embase were searched on 9/28/22 for relevant articles. Articles were included if they presented original data reporting the rates of diagnostic features in MCI-LB. RESULTS Fifty-seven articles were included. The meta-analysis supported the inclusion of the current clinical features in the diagnostic criteria. Evidence for striatal dopaminergic imaging and meta-iodobenzylguanidine cardiac scintigraphy, though limited, supports their inclusion. Quantitative electroencephalogram (EEG) and fluorodeoxyglucose positron emission tomography (PET) show promise as diagnostic biomarkers. DISCUSSION The available evidence largely supports the current diagnostic criteria for MCI-LB. Further evidence will help refine the diagnostic criteria and understand how best to apply them in clinical practice and research. HIGHLIGHTS A meta-analysis of the diagnostic features of MCI-LB was carried out. The four core clinical features were more common in MCI-LB than MCI-AD/stable MCI. Neuropsychiatric and autonomic features were also more common in MCI-LB. More evidence is needed for the proposed biomarkers. FDG-PET and quantitative EEG show promise as diagnostic biomarkers in MCI-LB.
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Affiliation(s)
- Paul C Donaghy
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK
| | - Claudia Carrarini
- Department of Neuroscience, Catholic University of Sacred Heart, Rome, Italy
- IRCCS San Raffaele Pisana, Rome, Italy
| | - Daniel Ferreira
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
- Department of Radiology, Mayo Clinic, Rochester, Minnesota, USA
| | - Annegret Habich
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
- University Hospital of Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland
| | - Dag Aarsland
- Department of Old Age Psychiatry, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
- Centre for Age-Related Diseases, Stavanger University Hospital, Stavanger, Norway
| | - Claudio Babiloni
- Department of Physiology and Pharmacology "Vittorio Erspamer", Sapienza University of Rome, Rome, Italy
- Hospital San Raffaele of Cassino, Cassino, Italy
| | - Ece Bayram
- Parkinson and Other Movement Disorders Center, Department of Neurosciences, University of California San Diego, California, USA
| | - Joseph Pm Kane
- Centre for Public Health, Queen's University Belfast, Belfast, UK
| | - Simon Jg Lewis
- Brain and Mind Centre, School of Medical Sciences, University of Sydney, Sydney, Australia
| | - Andrea Pilotto
- Department of Clinical and Experimental Sciences, Neurology Unit, University of Brescia, Brescia, Italy
| | - Alan J Thomas
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK
| | - Laura Bonanni
- Department of Medicine and Aging Sciences, University G. d'Annunzio of Chieti-Pescara, Chieti, Italy
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Nelson RS, Abner EL, Jicha GA, Schmitt FA, Di J, Wilcock DM, Barber JM, Van Eldik LJ, Katsumata Y, Fardo DW, Nelson PT. Neurodegenerative pathologies associated with behavioral and psychological symptoms of dementia in a community-based autopsy cohort. Acta Neuropathol Commun 2023; 11:89. [PMID: 37269007 PMCID: PMC10236713 DOI: 10.1186/s40478-023-01576-z] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2023] [Accepted: 04/30/2023] [Indexed: 06/04/2023] Open
Abstract
In addition to the memory disorders and global cognitive impairment that accompany neurodegenerative diseases, behavioral and psychological symptoms of dementia (BPSD) commonly impair quality of life and complicate clinical management. To investigate clinical-pathological correlations of BPSD, we analyzed data from autopsied participants from the community-based University of Kentucky Alzheimer's Disease Research Center longitudinal cohort (n = 368 research volunteers met inclusion criteria, average age at death 85.4 years). Data assessing BPSD were obtained approximately annually, including parameters for agitation, anxiety, apathy, appetite problems, delusions, depression, disinhibition, hallucinations, motor disturbance, and irritability. Each BPSD was scored on a severity scale (0-3) via the Neuropsychiatric Inventory Questionnaire (NPI-Q). Further, Clinical Dementia Rating (CDR)-Global and -Language evaluations (also scored on 0-3 scales) were used to indicate the degree of global cognitive and language impairment. The NPI-Q and CDR ratings were correlated with neuropathology findings at autopsy: Alzheimer's disease neuropathological changes (ADNC), neocortical and amygdala-only Lewy bodies (LBs), limbic predominant age-related TDP-43 encephalopathy neuropathologic changes (LATE-NC), primary age-related tauopathy (PART), hippocampal sclerosis, and cerebrovascular pathologies. Combinations of pathologies included the quadruple misfolding proteinopathy (QMP) phenotype with co-occurring ADNC, neocortical LBs, and LATE-NC. Statistical models were used to estimate the associations between BPSD subtypes and pathologic patterns. Individuals with severe ADNC (particularly those with Braak NFT stage VI) had more BPSD, and the QMP phenotype was associated with the highest mean number of BPSD symptoms: > 8 different BPSD subtypes per individual. Disinhibition and language problems were common in persons with severe ADNC but were not specific to any pathology. "Pure" LATE-NC was associated with global cognitive impairment, apathy, and motor disturbance, but again, these were not specific associations. In summary, Braak NFT stage VI ADNC was strongly associated with BPSD, but no tested BPSD subtype was a robust indicator of any particular "pure" or mixed pathological combination.
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Affiliation(s)
| | - Erin L Abner
- Sanders-Brown Center on Aging, University of Kentucky, Lexington, KY, USA
- Department of Epidemiology and Environmental Health, University of Kentucky, Lexington, KY, USA
| | - Gregory A Jicha
- Sanders-Brown Center on Aging, University of Kentucky, Lexington, KY, USA
- Department of Neurology, University of Kentucky, Lexington, KY, USA
| | - Frederick A Schmitt
- Sanders-Brown Center on Aging, University of Kentucky, Lexington, KY, USA
- Department of Neurology, University of Kentucky, Lexington, KY, USA
| | - Jing Di
- Department of Pathology and Laboratory Medicine, University of Kentucky, Lexington, KY, USA
| | - Donna M Wilcock
- Sanders-Brown Center on Aging, University of Kentucky, Lexington, KY, USA
- Department of Physiology, University of Kentucky, Lexington, KY, USA
| | - Justin M Barber
- Sanders-Brown Center on Aging, University of Kentucky, Lexington, KY, USA
| | - Linda J Van Eldik
- Sanders-Brown Center on Aging, University of Kentucky, Lexington, KY, USA
- Department of Neuroscience, University of Kentucky, Lexington, KY, USA
| | - Yuriko Katsumata
- Sanders-Brown Center on Aging, University of Kentucky, Lexington, KY, USA
- Department of Biostatistics, University of Kentucky, Lexington, KY, USA
| | - David W Fardo
- Sanders-Brown Center on Aging, University of Kentucky, Lexington, KY, USA
- Department of Biostatistics, University of Kentucky, Lexington, KY, USA
| | - Peter T Nelson
- Sanders-Brown Center on Aging, University of Kentucky, Lexington, KY, USA.
- Department of Pathology and Laboratory Medicine, University of Kentucky, Lexington, KY, USA.
- University of Kentucky, Rm 575 Todd Building, Lexington, KY, 40536, USA.
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Hansen N, Bouter C, Müller SJ, van Riesen C, Khadhraoui E, Ernst M, Riedel CH, Wiltfang J, Lange C. New Insights into Potential Biomarkers in Patients with Mild Cognitive Impairment Occurring in the Prodromal Stage of Dementia with Lewy Bodies. Brain Sci 2023; 13:brainsci13020242. [PMID: 36831785 PMCID: PMC9953759 DOI: 10.3390/brainsci13020242] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2023] [Revised: 01/14/2023] [Accepted: 01/22/2023] [Indexed: 02/04/2023] Open
Abstract
BACKGROUND Prodromal dementia with Lewy bodies (DLB) can emerge with the onset of mild cognitive impairment (MCI). Standard biomarkers can help identify such patients to improve therapy and treatment strategies. Our review aims to describe the latest evidence on promising biomarkers in prodromal DLB with MCI onset (MCI-LB). METHODS We selected articles on different biomarkers in MCI-LB from PubMed and conducted a narrative review. RESULTS We identified potentially promising clinical biomarkers, e.g., (1) assessing autonomic symptoms specifically, (2) describing the cognitive profile in several subdomains including executive and visual functions, and (3) measuring the speed of speech. In addition, we describe the measurement of seeding amplification assays of alpha-synuclein in cerebrospinal fluid as a relevant biomarker for MCI-LB. Electroencephalographic markers, as in calculating the theta/beta ratio or intermittent delta activity, or analyzing peak frequency in electroencephalography-methods also potentially useful once they have been validated in large patient cohorts. The 18F fluorodesoxyglucose positron emission tomography (FDG-PET) technique is also discussed to investigate metabolic signatures, as well as a specific magnetic resonance imaging (MRI) technique such as for the volumetric region of interest analysis. CONCLUSIONS These biomarker results suggest that MCI-LB is a promising field for the use of biomarkers other than established ones to diagnose early prodromal DLB. Further large-scale studies are needed to better evaluate and subsequently use these promising biomarkers in prodromal DLB.
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Affiliation(s)
- Niels Hansen
- Department of Psychiatry and Psychotherapy, University Medical Center Göttingen, 37075 Göttingen, Germany
- Correspondence:
| | - Caroline Bouter
- Department of Nuclear Medicine, University Medical Center Göttingen, 37075 Göttingen, Germany
| | - Sebastian Johannes Müller
- Institute of Diagnostic and Interventional Neuroradiology, University Medical Center Göttingen, 37075 Göttingen, Germany
| | - Christoph van Riesen
- Department of Neurology, University Medical Center Göttingen, 37075 Göttingen, Germany
| | - Eya Khadhraoui
- Institute of Diagnostic and Interventional Neuroradiology, University Medical Center Göttingen, 37075 Göttingen, Germany
| | - Marielle Ernst
- Institute of Diagnostic and Interventional Neuroradiology, University Medical Center Göttingen, 37075 Göttingen, Germany
| | - Christian Heiner Riedel
- Institute of Diagnostic and Interventional Neuroradiology, University Medical Center Göttingen, 37075 Göttingen, Germany
| | - Jens Wiltfang
- Department of Psychiatry and Psychotherapy, University Medical Center Göttingen, 37075 Göttingen, Germany
- German Center for Neurodegenerative Diseases (DZNE), 37075 Göttingen, Germany
- Neurosciences and Signaling Group, Institute of Biomedicine (iBiMED), Department of Medical Sciences, University of Aveiro, 3810-193 Aveiro, Portugal
| | - Claudia Lange
- Department of Psychiatry and Psychotherapy, University Medical Center Göttingen, 37075 Göttingen, Germany
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