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Dobson R, Patterson K, Malik R, Mandal U, Asif H, Humphreys R, Payne M, O-Charoenrat E, Huzzey L, Clare A, Green K, Morton M, Sohrabi C, Singh N, Pasupathy A, Patel M, Whiteman S, Maxmin K, Bass N, Gupta B, Cooper C, Marshall C, Weil RS, Mummery CJ. Eligibility for antiamyloid treatment: preparing for disease-modifying therapies for Alzheimer's disease. J Neurol Neurosurg Psychiatry 2024:jnnp-2024-333468. [PMID: 38862265 DOI: 10.1136/jnnp-2024-333468] [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: 01/23/2024] [Accepted: 03/27/2024] [Indexed: 06/13/2024]
Abstract
BACKGROUND Disease-modifying therapies (DMTs) for Alzheimer's disease (AD) have early evidence of efficacy. Widespread delivery of DMTs will require major service reconfiguration. Treatment pathways will need to include triaging for eligibility, regular infusions and baseline and follow-up MRI scanning. A critical step in planning is provision of real-world estimates of patients likely to be eligible for triaging, but these are challenging to obtain. METHODS We performed a retrospective service evaluation of patients attending five memory services across North and East London and a national specialist cognitive disorders service. We examined the likely proportion of patients who would (1) be referred for triaging for DMTs and (2) potentially be suitable for treatments. RESULTS Data from a total of 1017 patients were included, 517 of whom were seen in community memory services and 500 in a specialist clinic. In the memory services, 367/517 (71%) were diagnosed with possible AD. After exclusions of those in whom cognitive and frailty scores, MRI contraindications or anticoagulant use indicated they would be unlikely to be suitable, an estimated 32% would be eligible for triaging. In the specialist cognitive clinic, where additional investigations are available, 14% of those seen (70/500) would be potentially eligible for treatment. CONCLUSIONS While a sizeable proportion of patients attending memory clinics may be referred for triaging for DMTs for AD, only a minority are likely to be suitable for these, as demonstrated in patients seen in specialist cognitive services. This will need to be considered when designing pathways for DMT delivery.
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Affiliation(s)
- Ruth Dobson
- Centre for Preventive Neurology, Wolfson Institute of Population Health, Queen Mary University of London, London, UK
- Academic Health Science Centre, UCL Partners, London, UK
| | | | - Reshad Malik
- Haringey Memory Service, Barnet Enfield and Haringey Mental Health NHS Trust, London, UK
- Enfield Memory Service, Barnet Enfield and Haringey Mental Health NHS Trust, London, UK
| | - Uttara Mandal
- Haringey Memory Service, Barnet Enfield and Haringey Mental Health NHS Trust, London, UK
| | - Hina Asif
- Haringey Memory Service, Barnet Enfield and Haringey Mental Health NHS Trust, London, UK
| | - Ros Humphreys
- Haringey Memory Service, Barnet Enfield and Haringey Mental Health NHS Trust, London, UK
| | - Michael Payne
- Haringey Memory Service, Barnet Enfield and Haringey Mental Health NHS Trust, London, UK
| | - Eng O-Charoenrat
- Haringey Memory Service, Barnet Enfield and Haringey Mental Health NHS Trust, London, UK
| | - Lauren Huzzey
- Enfield Memory Service, Barnet Enfield and Haringey Mental Health NHS Trust, London, UK
| | - Adam Clare
- Enfield Memory Service, Barnet Enfield and Haringey Mental Health NHS Trust, London, UK
| | - Kate Green
- Enfield Memory Service, Barnet Enfield and Haringey Mental Health NHS Trust, London, UK
| | - Maija Morton
- Barnet Memory Service, Barnet Enfield and Haringey Mental Health NHS Trust, London, UK
| | - Catrin Sohrabi
- Barnet Memory Service, Barnet Enfield and Haringey Mental Health NHS Trust, London, UK
| | - Navreen Singh
- Barnet Memory Service, Barnet Enfield and Haringey Mental Health NHS Trust, London, UK
| | - Amirtha Pasupathy
- Barnet Memory Service, Barnet Enfield and Haringey Mental Health NHS Trust, London, UK
| | - Milan Patel
- Camden Memory Service, Camden and Islington Mental Health and Social Care Trust, London, UK
| | - Sam Whiteman
- Camden Memory Service, Camden and Islington Mental Health and Social Care Trust, London, UK
| | - Kate Maxmin
- Camden Memory Service, Camden and Islington Mental Health and Social Care Trust, London, UK
| | - Nicholas Bass
- Tower Hamlets Memory Service, East London NHS Foundation Trust, London, UK
| | - Bhavya Gupta
- Tower Hamlets Memory Service, East London NHS Foundation Trust, London, UK
| | - Claudia Cooper
- East London NHS Foundation Trust, London, UK
- Centre for Psychiatry, Queen Mary University of London, London, UK
| | - Charles Marshall
- Centre for Preventive Neurology, Wolfson Institute of Population Health, Queen Mary University of London, London, UK
- Tower Hamlets Memory Service, East London NHS Foundation Trust, London, UK
| | - Rimona Sharon Weil
- Academic Health Science Centre, UCL Partners, London, UK
- Dementia Research Centre, University College London, London, UK
| | - Catherine J Mummery
- Dementia Research Centre, University College London, London, UK
- Department of Neurodegenerative Disease, National Hospital for Neurology and Neurosurgery, London, UK
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Naude J, Wang M, Leon R, Smith E, Ismail Z. Tau-PET in early cortical Alzheimer brain regions in relation to mild behavioral impairment in older adults with either normal cognition or mild cognitive impairment. Neurobiol Aging 2024; 138:19-27. [PMID: 38490074 DOI: 10.1016/j.neurobiolaging.2024.02.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2023] [Revised: 02/11/2024] [Accepted: 02/14/2024] [Indexed: 03/17/2024]
Abstract
Mild Behavioral Impairment (MBI) leverages later-life emergent and persistent neuropsychiatric symptoms (NPS) to identify a high-risk group for incident dementia. Phosphorylated tau (p-tau) is a hallmark biological manifestation of Alzheimer disease (AD). We investigated associations between MBI and tau accumulation in early-stage AD cortical regions. In 442 Alzheimer's Disease Neuroimaging Initiative participants with normal cognition or mild cognitive impairment, MBI status was determined alongside corresponding p-tau and Aβ. Two meta-regions of interest were generated to represent Braak I and III neuropathological stages. Multivariable linear regression modelled the association between MBI as independent variable and tau tracer uptake as dependent variable. Among Aβ positive individuals, MBI was associated with tau uptake in Braak I (β=0.45(0.15), p<.01) and Braak III (β=0.24(0.07), p<.01) regions. In Aβ negative individuals, MBI was not associated with tau in the Braak I region (p=0.11) with a negative association in Braak III (p=.01). These findings suggest MBI may be a sequela of neurodegeneration, and can be implemented as a cost-effective framework to help improve screening efficiency for AD.
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Affiliation(s)
- James Naude
- University of British Columbia, Vancouver, British Columbia, Canada
| | - Meng Wang
- Department of Community Health Sciences, University of Calgary, Calgary, Alberta, Canada
| | - Rebeca Leon
- Department of Clinical Neurosciences, University of Calgary, Calgary, Alberta, Canada
| | - Eric Smith
- Department of Community Health Sciences, University of Calgary, Calgary, Alberta, Canada; Department of Clinical Neurosciences, University of Calgary, Calgary, Alberta, Canada; Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
| | - Zahinoor Ismail
- Department of Community Health Sciences, University of Calgary, Calgary, Alberta, Canada; Department of Clinical Neurosciences, University of Calgary, Calgary, Alberta, Canada; Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada; Department of Psychiatry, University of Calgary, Calgary, Alberta, Canada; Clinical and Biomedical Sciences, Faculty of Health and Life Sciences, University of Exeter, Exeter, UK.
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3
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Stella F, Pais MV, Loureiro JC, Cordeiro AMT, Talib LL, Forlenza OV. Neuropsychiatric symptoms and ApoE genotype in older adults without dementia: a cross-sectional study. Psychogeriatrics 2024; 24:382-390. [PMID: 38303161 DOI: 10.1111/psyg.13084] [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: 09/04/2023] [Revised: 11/30/2023] [Accepted: 01/16/2024] [Indexed: 02/03/2024]
Abstract
BACKGROUND The ApoE genotype and neuropsychiatric symptoms (NPS) are known risk factors for cognitive decline in older adults. However, the interaction between these variables is still unclear. The aim of this study was to determine the association between the presence of the ApoE ε4 allele and the occurrence of NPS in older adults without dementia. METHODS In this cross-sectional investigation we determined the apolipoprotein E (ApoE) genotype of 74 older adults who were either cognitively normal (20.3% / Clinician Dementia Rating Scale (CDR): 0) or had mild cognitive impairment (MCI: 79.7% / CDR: 0.5). We used a comprehensive cognitive assessment protocol, and NPS were estimated by the Neuropsychiatric Inventory-Clinician Rating Scale (NPI-C), Mild Behavioural Impairment-Checklist (MBI-C), Hamilton Rating Scale for Depression (HAM-D), and Apathy Inventory. RESULTS ApoE ε4 carriers had higher MBI-C total scores than ApoE ε4 noncarriers. Correlations between NPS and ApoE genotype were observed for two NPI-C domains, although in opposite directions: the ApoE ε4 allele was associated with a 1.8 unit decrease in the estimated aberrant motor disturbance score and with a 1.3 unit increase in the estimated appetite/eating disorders score. All fitted models were significant, except for the one fitted for the domain delusions from the NPI-C. Among individuals with amnestic MCI, ε4 carriers presented higher depression score (HAM-D) than noncarriers; in turn, ε4 noncarriers exhibited higher aggression score (NPI-C) than ε4 carriers. CONCLUSIONS Our analyses showed associations between NPS and the presence of the ApoE ε4 allele in two NPI-C domains, despite the sample size. Furthermore, compared to noncarriers, the presence of the ApoE ε4 correlated positively with appetite/eating disorders and negatively with aberrant motor disturbance domain. Examination of the amnestic MCI group displayed significant, although weak, associations. Therefore, ε4 carriers exhibited higher depression scores according to the HAM-D scale compared to ε4 noncarriers. Conversely, ε4 noncarriers had higher scores in the aggression domain of the NPI-C than ε4 carriers.
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Affiliation(s)
- Florindo Stella
- Laboratório de Neurociências (LIM-27), Departamento e Instituto de Psiquiatria, Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo (HCFMUSP), Sao Paulo, Brazil
- UNESP - Universidade Estadual Paulista, Instituto de Biociências, Câmpus de Rio Claro, Sao Paulo, Brazil
| | - Marcos Vasconcelos Pais
- Laboratório de Neurociências (LIM-27), Departamento e Instituto de Psiquiatria, Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo (HCFMUSP), Sao Paulo, Brazil
| | - Júlia Cunha Loureiro
- Laboratório de Neurociências (LIM-27), Departamento e Instituto de Psiquiatria, Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo (HCFMUSP), Sao Paulo, Brazil
| | - Augusto Magno Tranquezi Cordeiro
- Laboratório de Neurociências (LIM-27), Departamento e Instituto de Psiquiatria, Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo (HCFMUSP), Sao Paulo, Brazil
| | - Leda Leme Talib
- Laboratório de Neurociências (LIM-27), Departamento e Instituto de Psiquiatria, Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo (HCFMUSP), Sao Paulo, Brazil
| | - Orestes Vicente Forlenza
- Laboratório de Neurociências (LIM-27), Departamento e Instituto de Psiquiatria, Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo (HCFMUSP), Sao Paulo, Brazil
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Marrie RA, Maxwell CJ, Rotstein DL, Tsai CC, Tremlett H. Prodromes in demyelinating disorders, amyotrophic lateral sclerosis, Parkinson disease, and Alzheimer's dementia. Rev Neurol (Paris) 2024; 180:125-140. [PMID: 37567819 DOI: 10.1016/j.neurol.2023.07.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2023] [Revised: 06/24/2023] [Accepted: 07/03/2023] [Indexed: 08/13/2023]
Abstract
A prodrome is an early set of symptoms, which indicates the onset of a disease; these symptoms are often non-specific. Prodromal phases are now recognized in multiple central nervous system diseases. The depth of understanding of the prodromal phase varies across diseases, being more nascent for multiple sclerosis for example, than for Parkinson disease or Alzheimer's disease. Key challenges when identifying the prodromal phase of a disease include the lack of specificity of prodromal symptoms, and consequent need for accessible and informative biomarkers. Further, heterogeneity of the prodromal phase may be influenced by age, sex, genetics and other poorly understood factors. Nonetheless, recognition that an individual is in the prodromal phase of disease offers the opportunity for earlier diagnosis and with it the opportunity for earlier intervention.
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Affiliation(s)
- R A Marrie
- Departments of Internal Medicine and Community Health Sciences, Rady Faculty of Health Sciences, Max-Rady College of Medicine, University of Manitoba, Winnipeg, Manitoba, Canada.
| | - C J Maxwell
- Schools of Pharmacy and Public Health Sciences, University of Waterloo, Waterloo, Ontario, Canada; ICES, Toronto, Ontario, Canada
| | - D L Rotstein
- Department of Medicine, University of Toronto, 6, Queen's Park Crescent West, 3rd floor, M5S 3H2 Toronto, Ontario, Canada; Saint-Michael's Hospital, 30, Bond Street, M5B 1W8 Toronto, Ontario, Canada
| | - C-C Tsai
- Faculty of Medicine, University of British Columbia, Vancouver, BC, Canada
| | - H Tremlett
- Faculty of Medicine (Neurology), University of British Columbia, Vancouver, BC, Canada
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Angelopoulou E, Koros C, Hatzimanolis A, Stefanis L, Scarmeas N, Papageorgiou SG. Exploring the Genetic Landscape of Mild Behavioral Impairment as an Early Marker of Cognitive Decline: An Updated Review Focusing on Alzheimer's Disease. Int J Mol Sci 2024; 25:2645. [PMID: 38473892 DOI: 10.3390/ijms25052645] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2024] [Revised: 02/20/2024] [Accepted: 02/22/2024] [Indexed: 03/14/2024] Open
Abstract
The clinical features and pathophysiology of neuropsychiatric symptoms (NPSs) in dementia have been extensively studied. However, the genetic architecture and underlying neurobiological mechanisms of NPSs at preclinical stages of cognitive decline and Alzheimer's disease (AD) remain largely unknown. Mild behavioral impairment (MBI) represents an at-risk state for incident cognitive impairment and is defined by the emergence of persistent NPSs among non-demented individuals in later life. These NPSs include affective dysregulation, decreased motivation, impulse dyscontrol, abnormal perception and thought content, and social inappropriateness. Accumulating evidence has recently begun to shed more light on the genetic background of MBI, focusing on its potential association with genetic factors related to AD. The Apolipoprotein E (APOE) genotype and the MS4A locus have been associated with affective dysregulation, ZCWPW1 with social inappropriateness and psychosis, BIN1 and EPHA1 with psychosis, and NME8 with apathy. The association between MBI and polygenic risk scores (PRSs) in terms of AD dementia has been also explored. Potential implicated mechanisms include neuroinflammation, synaptic dysfunction, epigenetic modifications, oxidative stress responses, proteosomal impairment, and abnormal immune responses. In this review, we summarize and critically discuss the available evidence on the genetic background of MBI with an emphasis on AD, aiming to gain insights into the potential underlying neurobiological mechanisms, which till now remain largely unexplored. In addition, we propose future areas of research in this emerging field, with the aim to better understand the molecular pathophysiology of MBI and its genetic links with cognitive decline.
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Affiliation(s)
- Efthalia Angelopoulou
- 1st Department of Neurology, Aiginition University Hospital, National and Kapodistrian University of Athens, 11528 Athens, Greece
| | - Christos Koros
- 1st Department of Neurology, Aiginition University Hospital, National and Kapodistrian University of Athens, 11528 Athens, Greece
| | - Alexandros Hatzimanolis
- 1st Department of Psychiatry, Aiginition University Hospital, National and Kapodistrian University of Athens, 11528 Athens, Greece
| | - Leonidas Stefanis
- 1st Department of Neurology, Aiginition University Hospital, National and Kapodistrian University of Athens, 11528 Athens, Greece
| | - Nikolaos Scarmeas
- 1st Department of Neurology, Aiginition University Hospital, National and Kapodistrian University of Athens, 11528 Athens, Greece
- Department of Neurology, Columbia University, New York, NY 10032, USA
| | - Sokratis G Papageorgiou
- 1st Department of Neurology, Aiginition University Hospital, National and Kapodistrian University of Athens, 11528 Athens, Greece
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Naude J, Wang M, Leon R, Smith E, Ismail Z. Tau-PET in early cortical Alzheimer brain regions in relation to mild behavioral impairment in older adults with either normal cognition or mild cognitive impairment. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.02.11.24302665. [PMID: 38405711 PMCID: PMC10888987 DOI: 10.1101/2024.02.11.24302665] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/27/2024]
Abstract
Mild Behavioral Impairment (MBI) leverages later-life emergent and persistent neuropsychiatric symptoms (NPS) to identify a high-risk group for incident dementia. Phosphorylated tau (p-tau) is a hallmark biological manifestation of Alzheimer disease (AD). We investigated associations between MBI and tau accumulation in early-stage AD cortical regions. In 442 Alzheimer's Disease Neuroimaging Initiative participants with normal cognition or mild cognitive impairment, MBI status was determined alongside corresponding p-tau and Aβ. Two meta-regions of interest were generated to represent Braak I and III neuropathological stages. Multivariable linear regression modelled the association between MBI as independent variable and tau tracer uptake as dependent variable. Among Aβ positive individuals, MBI was associated with tau uptake in Braak I (β =0.45(0.15), p<.01) and Braak III (β =0.24(0.07), p<.01) regions. In Aβ negative individuals, MBI was not associated with tau in the Braak I region (p=.11) with a negative association in Braak III (p=.01). These findings suggest MBI may be a sequela of neurodegeneration, and can be implemented as a cost-effective framework to help improve screening efficiency for AD.
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Affiliation(s)
- James Naude
- University of British Columbia, Vancouver, British Columbia, Canada
| | - Meng Wang
- Department of Community Health Sciences, University of Calgary, Calgary, Alberta, Canada
| | - Rebeca Leon
- Department of Clinical Neurosciences, University of Calgary, Calgary, Alberta, Canada
| | - Eric Smith
- Department of Community Health Sciences, University of Calgary, Calgary, Alberta, Canada
- Department of Clinical Neurosciences, University of Calgary, Calgary, Alberta, Canada
- Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
| | - Zahinoor Ismail
- Department of Community Health Sciences, University of Calgary, Calgary, Alberta, Canada
- Department of Clinical Neurosciences, University of Calgary, Calgary, Alberta, Canada
- Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
- Department of Psychiatry, University of Calgary, Calgary, Alberta, Canada
- Clinical and Biomedical Sciences, Faculty of Health and Life Sciences, University of Exeter, Exeter, UK
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Matuskova V, Veverova K, Jester DJ, Matoska V, Ismail Z, Sheardova K, Horakova H, Cerman J, Laczó J, Andel R, Hort J, Vyhnalek M. Mild behavioral impairment in early Alzheimer's disease and its association with APOE and BDNF risk genetic polymorphisms. Alzheimers Res Ther 2024; 16:21. [PMID: 38279143 PMCID: PMC10811933 DOI: 10.1186/s13195-024-01386-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2023] [Accepted: 01/04/2024] [Indexed: 01/28/2024]
Abstract
BACKGROUND Mild behavioral impairment (MBI) has been commonly reported in early Alzheimer's disease (AD) but rarely using biomarker-defined samples. It is also unclear whether genetic polymorphisms influence MBI in such individuals. We thus aimed to examine the association between the cognitive status of participants (amnestic mild cognitive impairment (aMCI-AD) vs cognitively normal (CN) older adults) and MBI severity. Within aMCI-AD, we further examined the association between APOE and BDNF risk genetic polymorphisms and MBI severity. METHODS We included 62 aMCI-AD participants and 50 CN older adults from the Czech Brain Aging Study. The participants underwent neurological, comprehensive neuropsychological examination, APOE and BDNF genotyping, and magnetic resonance imaging. MBI was diagnosed with the Mild Behavioral Impairment Checklist (MBI-C), and the diagnosis was based on the MBI-C total score ≥ 7. Additionally, self-report instruments for anxiety (the Beck Anxiety Inventory) and depressive symptoms (the Geriatric Depression Scale-15) were administered. The participants were stratified based on the presence of at least one risk allele in genes for APOE (i.e., e4 carriers and non-carriers) and BDNF (i.e., Met carriers and non-carriers). We used linear regressions to examine the associations. RESULTS MBI was present in 48.4% of the aMCI-AD individuals. Compared to the CN, aMCI-AD was associated with more affective, apathy, and impulse dyscontrol but not social inappropriateness or psychotic symptoms. Furthermore, aMCI-AD was related to more depressive but not anxiety symptoms on self-report measures. Within the aMCI-AD, there were no associations between APOE e4 and BDNF Met and MBI-C severity. However, a positive association between Met carriership and self-reported anxiety appeared. CONCLUSIONS MBI is frequent in aMCI-AD and related to more severe affective, apathy, and impulse dyscontrol symptoms. APOE and BDNF polymorphisms were not associated with MBI severity separately; however, their combined effect warrants further investigation.
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Affiliation(s)
- Veronika Matuskova
- Department of Neurology, Memory Clinic, Charles University, Second Faculty of Medicine and Motol University Hospital, V Uvalu 84, 150 06, Prague, Czech Republic
- International Clinical Research Center, St. Anne's University Hospital, Brno, Czech Republic
| | - Katerina Veverova
- Department of Neurology, Memory Clinic, Charles University, Second Faculty of Medicine and Motol University Hospital, V Uvalu 84, 150 06, Prague, Czech Republic
| | - Dylan J Jester
- Women's Operational Military Exposure Network (WOMEN), VA Palo Alto Health Care System, Palo Alto, CA, USA
| | - Vaclav Matoska
- Department of Clinical Biochemistry, Hematology and Immunology, Homolka Hospital, Prague, Czech Republic
| | - Zahinoor Ismail
- Departments of Psychiatry and Clinical Neurosciences, Cumming School of Medicine, Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
- Clinical and Biomedical Sciences, Faculty of Health and Life Sciences, University of Exeter, Exeter, United Kingdom
| | - Katerina Sheardova
- International Clinical Research Center, St. Anne's University Hospital, Brno, Czech Republic
| | - Hana Horakova
- Department of Neurology, Memory Clinic, Charles University, Second Faculty of Medicine and Motol University Hospital, V Uvalu 84, 150 06, Prague, Czech Republic
- International Clinical Research Center, St. Anne's University Hospital, Brno, Czech Republic
- Department of Clinical Psychology, Motol University Hospital, Prague, Czech Republic
| | - Jiri Cerman
- Department of Neurology, Memory Clinic, Charles University, Second Faculty of Medicine and Motol University Hospital, V Uvalu 84, 150 06, Prague, Czech Republic
- International Clinical Research Center, St. Anne's University Hospital, Brno, Czech Republic
| | - Jan Laczó
- Department of Neurology, Memory Clinic, Charles University, Second Faculty of Medicine and Motol University Hospital, V Uvalu 84, 150 06, Prague, Czech Republic
| | - Ross Andel
- Department of Neurology, Memory Clinic, Charles University, Second Faculty of Medicine and Motol University Hospital, V Uvalu 84, 150 06, Prague, Czech Republic
- International Clinical Research Center, St. Anne's University Hospital, Brno, Czech Republic
- Center for Innovation in Healthy and Resilient Aging, Edson College of Nursing and Health Innovation, Arizona State University, Phoenix, AZ, USA
| | - Jakub Hort
- Department of Neurology, Memory Clinic, Charles University, Second Faculty of Medicine and Motol University Hospital, V Uvalu 84, 150 06, Prague, Czech Republic
- International Clinical Research Center, St. Anne's University Hospital, Brno, Czech Republic
| | - Martin Vyhnalek
- Department of Neurology, Memory Clinic, Charles University, Second Faculty of Medicine and Motol University Hospital, V Uvalu 84, 150 06, Prague, Czech Republic.
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Singh AK, Malviya R, Prakash A, Verma S. Neuropsychiatric Manifestations in Alzheimer's Disease Patients: Genetics and Treatment Options. CNS & NEUROLOGICAL DISORDERS DRUG TARGETS 2024; 23:39-54. [PMID: 36856177 DOI: 10.2174/1871527322666230301111216] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/17/2022] [Revised: 12/03/2022] [Accepted: 12/27/2022] [Indexed: 03/02/2023]
Abstract
BACKGROUND Alzheimer's disease (AD) is characterized by neuropsychiatric symptoms (NPS), which cause great misery to those with dementia and those who care for them and may lead to early institutionalization. OBJECTIVE The present systematic review aims to discuss the various aspects of Alzheimer's, including treatment options. METHODS The databases Embase, PubMed, and Web of Science were searched to collect data. RESULTS Incipient cognitive deterioration is commonly accompanied by these early warning signals of neurocognitive diseases. The neurobiology of NPSs in Alzheimer's disease, as well as particular symptoms, including psychosis, agitation, apathy, sadness, and sleep disorders, will be examined in this review. For NPSs in Alzheimer's disease, clinical trial designs, as well as regulatory issues, were also addressed. A fresh wave of research, however, is helping to push the discipline ahead. For medication development and repurposing, we highlight the most recent results in genetics, neuroimaging, and neurobiology. Even though identifying and treating psychosis in adults with dementia is still a challenging endeavor, new options are coming up that give the field fresh focus and hope. Conclsuion: It can be concluded from the complete literature survey that Alzheimer's-related psychosis as well as other symptoms that are not psychotic, have made significant progress in the last decade. These milestones in the development of safer, more effective treatments have been achieved as a consequence of great focus on non-pharmacological interventions like DICE or WHELD; the investigation into ways to improve existing drugs like aripiprazole, risperidone, amisulpride, and Escitalopram for safer precision-based treatment; and the development of a clinical trial program for pimavanserin.
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Affiliation(s)
- Arun Kumar Singh
- Department of Pharmacy, School of Medical and Allied Sciences, Galgotias University Greater Noida, Uttar Pradesh, India
| | - Rishabha Malviya
- Department of Pharmacy, School of Medical and Allied Sciences, Galgotias University Greater Noida, Uttar Pradesh, India
| | - Anuj Prakash
- Reference Standard Division, Indian Pharmacopoeia Commission, Sec-23, Raj Nagar, Ghaziabad, Uttar Pradesh, India
| | - Swati Verma
- Department of Pharmacy, School of Medical and Allied Sciences, Galgotias University Greater Noida, Uttar Pradesh, India
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Elefante C, Brancati GE, Pistolesi G, Amadori S, Torrigiani S, Baldacci F, Ceravolo R, Ismail Z, Lattanzi L, Perugi G. The impact of mild behavioral impairment on the prognosis of geriatric depression: preliminary results. Int Clin Psychopharmacol 2023:00004850-990000000-00105. [PMID: 37966156 DOI: 10.1097/yic.0000000000000521] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2023]
Abstract
Our study aimed to examine how the presence of Mild Behavioral Impairment (MBI) symptoms influenced the outcome of late-life depression (LLD). Twenty-nine elderly (≥ 60 years) depressive patients, including eleven (37.9%) with MBI, were recruited and followed-up on average for 33.41 ± 8.24 weeks. Psychiatric symptoms severity and global functioning were assessed, respectively, using the Brief Psychiatric Rating Scale (BPRS) and the Global Assessment of Functioning (GAF) scale. BPRS total score significantly decreased from baseline to follow-up (P < 0.001, d = 1.33). The presence of MBI had no significant effect on mood and cognitive symptoms improvement. On the contrary, while a significant increase in GAF score was observed in patients without MBI (P = 0.001, d = 1.01), no significant improvement of global functioning was detected in those with MBI (P = 0.154, d = 0.34) after 6-month follow-up. The presence of MBI in patients with LLD may negatively affect long-term outcome, slowing or preventing functional improvement.
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Affiliation(s)
- Camilla Elefante
- Psychiatry Unit, Department of Clinical and Experimental Medicine, University of Pisa
| | | | - Gabriele Pistolesi
- Psychiatry Unit, Department of Clinical and Experimental Medicine, University of Pisa
| | - Salvatore Amadori
- Psychiatry Unit, Department of Clinical and Experimental Medicine, University of Pisa
| | - Samuele Torrigiani
- Psychiatry Unit, Department of Clinical and Experimental Medicine, University of Pisa
| | - Filippo Baldacci
- Neurology Unit, Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | - Roberto Ceravolo
- Neurology Unit, Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | - Zahinoor Ismail
- Departments of Psychiatry, Clinical Neurosciences, Community Health Sciences, and Pathology and Laboratory Medicine, Hotchkiss Brain Institute & O'Brien Institute for Public Health, University of Calgary, Calgary, Alberta, Canada
- College of Health and Medicine, University of Exeter, Exeter, UK
| | | | - Giulio Perugi
- Psychiatry Unit, Department of Clinical and Experimental Medicine, University of Pisa
- G. De Lisio Institute of Behavioral Sciences, Pisa, Italy
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10
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Kassam F, Chen H, Nosheny R, McGirr A, Williams T, Ng N, Camacho M, Mackin R, Weiner M, Ismail Z. Cognitive profile of people with mild behavioral impairment in Brain Health Registry participants. Int Psychogeriatr 2023; 35:643-652. [PMID: 35130991 PMCID: PMC10063171 DOI: 10.1017/s1041610221002878] [Citation(s) in RCA: 13] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
OBJECTIVES Dementia assessment includes cognitive and behavioral testing with informant verification. Conventional testing is resource-intensive, with uneven access. Online unsupervised assessments could reduce barriers to risk assessment. The aim of this study was to assess the relationship between informant-rated behavioral changes and participant-completed neuropsychological test performance in older adults, both measured remotely via an online unsupervised platform, the Brain Health Registry (BHR). DESIGN Observational cohort study. SETTING Community-dwelling older adults participating in the online BHR. Informant reports were obtained using the BHR Study Partner Portal. PARTICIPANTS The final sample included 499 participant-informant dyads. MEASUREMENTS Participants completed online unsupervised neuropsychological assessment including Forward Memory Span, Reverse Memory Span, Trail Making B, and Go/No-Go tests. Informants completed the Mild Behavioral Impairment Checklist (MBI-C) via the BHR Study Partner portal. Cognitive performance was evaluated in MBI+/- individuals, as was the association between cognitive scores and MBI symptom severity. RESULTS Mean age of the 499 participants was 67, of which 308/499 were females (61%). MBI + status was associated with significantly lower memory and executive function test scores, measured using Forward and Reverse Memory Span, Trail Making Errors and Trail Making Speed. Further, significant associations were found between poorer objectively measured cognitive performance, in the domains of memory and executive function, and MBI symptom severity. CONCLUSION These findings support the feasibility of remote, informant-reported behavioral assessment utilizing the MBI-C, supporting its validity by demonstrating a relationship to online unsupervised neuropsychological test performance, using a previously validated platform capable of assessing early dementia risk markers.
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Affiliation(s)
- F. Kassam
- University of Calgary, Hotchkiss Brain Institute
| | - H. Chen
- University of Calgary, Hotchkiss Brain Institute
| | - R.L. Nosheny
- University of California, San Francisco, Department of Psychiatry
| | - A. McGirr
- University of Calgary, Department of Psychiatry
| | - T. Williams
- University of California, San Francisco, Departments of Radiology and Biomedical Imaging, Medicine, Psychiatry, and Neurology
| | | | - Monica Camacho
- University of California, San Francisco, Departments of Radiology and Biomedical Imaging, Medicine, Psychiatry, and Neurology
| | - R.S. Mackin
- University of California, San Francisco, Department of Psychiatry
| | - M.W. Weiner
- University of California, San Francisco, Departments of Radiology and Biomedical Imaging, Medicine, Psychiatry, and Neurology
| | - Z. Ismail
- University of Calgary, Hotchkiss Brain Institute
- University of Calgary, Department of Psychiatry
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11
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Matsuoka T, Narumoto J, Morii-Kitani F, Niwa F, Mizuno T, Abe M, Takano H, Wakasugi N, Shima A, Sawamoto N, Ito H, Toda W, Hanakawa T. Contribution of amyloid and putative Lewy body pathologies in neuropsychiatric symptoms. Int J Geriatr Psychiatry 2023; 38:e5993. [PMID: 37655505 DOI: 10.1002/gps.5993] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/18/2023] [Accepted: 08/19/2023] [Indexed: 09/02/2023]
Abstract
OBJECTIVES Neuropsychiatric symptom could be useful for detecting patients with prodromal dementia. Similarities and differences in the NPSs between preclinical/prodromal Alzheimer's disease (AD) and prodromal Parkinson's disease dementia (PDD)/Dementia with Lewy bodies (DLB) may exist. This study aimed to compare the NPSs between preclinical/prodromal AD and prodromal PDD/DLB. METHODS One hundred and three participants without dementia aged ≥50 years were included in this study. The mild behavioral impairment (MBI) total score and the MBI scores for each domain were calculated using the neuropsychiatric inventory questionnaire score. Participants were divided into five groups based on the clinical diagnosis by neurologists or psychiatrists in each institution based on the results of the amyloid positron emission tomography and dopamine transporter single photon emission computed tomography (DAT-SPECT): Group 1: amyloid-positive and abnormal DAT-SPECT, Group 2: amyloid-negative and abnormal DAT-SPECT, Group 3: amyloid-positive and normal DAT-SPECT, Group 4: mild cognitive impairment unlikely due to AD with normal DAT-SPECT, and Group 5: cognitively normal with amyloid-negative and normal DAT-SPECT. RESULTS The MBI abnormal perception or thought content scores were significantly higher in Group 1 than Group 5 (Bonferroni-corrected p = 0.012). The MBI total score (Bonferroni-corrected p = 0.011) and MBI impulse dyscontrol score (Bonferroni-corrected p = 0.033) in Group 4 were significantly higher than those in Group 5. CONCLUSION The presence of both amyloid and putative Lewy body pathologies may be associated with psychotic symptoms.
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Affiliation(s)
- Teruyuki Matsuoka
- Department of Psychiatry, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan
- Department of Psychiatry, National Hospital Organization Maizuru Medical Center, Kyoto, Japan
| | - Jin Narumoto
- Department of Psychiatry, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Fukiko Morii-Kitani
- Department of Neurology, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Fumitoshi Niwa
- Department of Neurology, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Toshiki Mizuno
- Department of Neurology, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Mitsunari Abe
- Integrative Brain Imaging Center, National Center of Neurology and Psychiatry, Tokyo, Japan
| | - Harumasa Takano
- Integrative Brain Imaging Center, National Center of Neurology and Psychiatry, Tokyo, Japan
| | - Noritaka Wakasugi
- Integrative Brain Imaging Center, National Center of Neurology and Psychiatry, Tokyo, Japan
| | - Atsushi Shima
- Human Brain Research Center, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Nobukatsu Sawamoto
- Department of Human Health Sciences, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Hiroshi Ito
- Department of Radiology and Nuclear Medicine, Fukushima Medical University, Fukushima, Japan
| | - Wataru Toda
- Department of Neuropsychiatry, Fukushima Medical University, Fukushima, Japan
| | - Takashi Hanakawa
- Integrative Brain Imaging Center, National Center of Neurology and Psychiatry, Tokyo, Japan
- Department of Integrated Neuroanatomy and Neuroimaging, Kyoto University Graduate School of Medicine, Kyoto, Japan
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Cozza M, Boccardi V. A narrative review on mild behavioural impairment: an exploration into its scientific perspectives. Aging Clin Exp Res 2023; 35:1807-1821. [PMID: 37392350 DOI: 10.1007/s40520-023-02472-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2023] [Accepted: 06/06/2023] [Indexed: 07/03/2023]
Abstract
In clinical practice, the admission of patients with late-onset psychological and behavioural symptoms is frequent, regardless of the presence or absence of cognitive decline. These symptoms commonly occur in the prodromal stage of dementia and can precede the onset of dementia. While the concept of Mild Cognitive Impairment (MCI) -which is defined as a level of cognitive impairment insufficient to impact daily functioning- is well established, the notion of Mild Behavioural Impairment (MBI) is not yet widely recognized. However, studies have demonstrated that the presence of MBI in both cognitively normal patients and individuals with MCI is associated with an increased risk of dementia progression. Thus, MBI may serve as a neurobehavioral indicator of pre-dementia risk states. This narrative review aims to discuss the evolution of the term, the relevant clinical aspects, and potential biomarkers that may contribute to the clinical definition of MBI. The objective is to assist clinicians in recognizing the diagnosis and differentiating it from psychiatric syndromes, as well as identifying possible etiologies of neurodegeneration.
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Affiliation(s)
- Mariagiovanna Cozza
- Department of Integration, Intermediate Care Programme, AUSL Bologna, Bologna, Italy
| | - Virginia Boccardi
- Institute of Gerontology and Geriatrics, Department of Medicine and Surgery, University of Perugia, Santa Maria della Misericordia Hospital, Piazzale Gambuli 1, 06132, Perugia, Italy.
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13
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Ismail Z, Leon R, Creese B, Ballard C, Robert P, Smith EE. Optimizing detection of Alzheimer's disease in mild cognitive impairment: a 4-year biomarker study of mild behavioral impairment in ADNI and MEMENTO. Mol Neurodegener 2023; 18:50. [PMID: 37516848 PMCID: PMC10386685 DOI: 10.1186/s13024-023-00631-6] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2022] [Accepted: 06/05/2023] [Indexed: 07/31/2023] Open
Abstract
BACKGROUND Disease-modifying drug use necessitates better Alzheimer disease (AD) detection. Mild cognitive impairment (MCI) leverages cognitive decline to identify the risk group; similarly, mild behavioral impairment (MBI) leverages behavioral change. Adding MBI to MCI improves dementia prognostication over conventional approaches of incorporating neuropsychiatric symptoms (NPS). Here, to determine if adding MBI would better identify AD, we interrogated associations between MBI in MCI, and cerebrospinal fluid biomarkers [β-amyloid (Aβ), phosphorylated-tau (p-tau), and total-tau (tau)-ATN], cross-sectionally and longitudinally. METHODS Data were from two independent referral-based cohorts, ADNI (mean[SD] follow-up 3.14[1.07] years) and MEMENTO (4.25[1.40] years), collected 2003-2021. Exposure was based on three-group stratification: 1) NPS meeting MBI criteria; 2) conventionally measured NPS (NPSnotMBI); and 3) noNPS. Cohorts were analyzed separately for: 1) cross-sectional associations between NPS status and ATN biomarkers (linear regressions); 2) 4-year longitudinal repeated-measures associations of MBI and NPSnotMBI with ATN biomarkers (hierarchical linear mixed-effects models-LMEs); and 3) rates of incident dementia (Cox proportional hazards regressions). RESULTS Of 510 MCI participants, 352 were from ADNI (43.5% females; mean [SD] age, 71.68 [7.40] years), and 158 from MEMENTO (46.2% females; 68.98 [8.18] years). In ADNI, MBI was associated with lower Aβ42 (standardized β [95%CI], -5.52% [-10.48-(-0.29)%]; p = 0.039), and Aβ42/40 (p = 0.01); higher p-tau (9.67% [3.96-15.70%]; p = 0.001), t-tau (7.71% [2.70-12.97%]; p = 0.002), p-tau/Aβ42 (p < 0.001), and t-tau/Aβ42 (p = 0.001). NPSnotMBI was associated only with lower Aβ42/40 (p = 0.045). LMEs revealed a similar 4-year AD-specific biomarker profile for MBI, with NPSnotMBI associated only with higher t-tau. MBI had a greater rate of incident dementia (HR [95%CI], 3.50 [1.99-6.17; p < 0.001). NPSnotMBI did not differ from noNPS (HR 0.96 [0.49-1.89]; p = 0.916). In MEMENTO, MBI demonstrated a similar magnitude and direction of effect for all biomarkers, but with a greater reduction in Aβ40. HR for incident dementia was 3.93 (p = 0.004) in MBI, and 1.83 (p = 0.266) in NPSnotMBI. Of MBI progressors to dementia, 81% developed AD dementia. CONCLUSIONS These findings support a biological basis for NPS that meet MBI criteria, the continued inclusion of MBI in NIA-AA ATN clinical staging, and the utility of MBI criteria to improve identification of patients for enrollment in disease-modifying drug trials or for clinical care.
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Affiliation(s)
- Zahinoor Ismail
- Department of Psychiatry, Cumming School of Medicine, University of Calgary, 3330 Hospital Dr NW, Calgary, AB, T2N 4N1, Canada.
- Cumming School of Medicine, Hotchkiss Brain Institute, University of Calgary, 3330 Hospital Dr NW, Calgary, AB, T2N 4N1, Canada.
- Department of Clinical Neurosciences, Cumming School of Medicine, University of Calgary, 3330 Hospital Dr NW, Calgary, AB, T2N 4N1, Canada.
- Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, 3330 Hospital Dr NW, Calgary, AB, T2N 4N1, Canada.
- O'Brien Institute for Public Health, Cumming School of Medicine, University of Calgary, 3280 Hospital Dr NW, Calgary, AB, T2N 4Z6, Canada.
- Department of Clinical and Biomedical Sciences, Faculty of Health and Life Sciences, University of Exeter, B3183, Exeter, EX1 2HZ, UK.
| | - Rebeca Leon
- Cumming School of Medicine, Hotchkiss Brain Institute, University of Calgary, 3330 Hospital Dr NW, Calgary, AB, T2N 4N1, Canada
| | - Byron Creese
- Department of Clinical and Biomedical Sciences, Faculty of Health and Life Sciences, University of Exeter, B3183, Exeter, EX1 2HZ, UK
| | - Clive Ballard
- Department of Clinical and Biomedical Sciences, Faculty of Health and Life Sciences, University of Exeter, B3183, Exeter, EX1 2HZ, UK
| | | | - Eric E Smith
- Cumming School of Medicine, Hotchkiss Brain Institute, University of Calgary, 3330 Hospital Dr NW, Calgary, AB, T2N 4N1, Canada
- Department of Clinical Neurosciences, Cumming School of Medicine, University of Calgary, 3330 Hospital Dr NW, Calgary, AB, T2N 4N1, Canada
- Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, 3330 Hospital Dr NW, Calgary, AB, T2N 4N1, Canada
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14
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Ebrahim IM, Ghahremani M, Camicioli R, Smith EE, Ismail Z. Effects of race, baseline cognition, and APOE on the association of affective dysregulation with incident dementia: A longitudinal study of dementia-free older adults. J Affect Disord 2023; 332:9-18. [PMID: 36997127 DOI: 10.1016/j.jad.2023.03.074] [Citation(s) in RCA: 3] [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: 11/16/2022] [Revised: 03/10/2023] [Accepted: 03/24/2023] [Indexed: 04/01/2023]
Abstract
BACKGROUND Affective symptoms are dementia risk factors. Mild behavioral impairment (MBI) is a neurobehavioral syndrome that refines incorporation of psychiatric symptomatology into dementia prognostication by stipulating symptoms must emerge de novo in later life and persist for ≥6 months. Here, we investigated the longitudinal association of MBI-affective dysregulation with incident dementia. METHODS National Alzheimer Coordinating Centre participants with normal cognition (NC) or mild cognitive impairment (MCI) were included. MBI-affective dysregulation was operationalized as Neuropsychiatric Inventory Questionnaire-measured depression, anxiety, and elation at two consecutive visits. Comparators had no neuropsychiatric symptoms (no NPS) in advance of dementia. Cox proportional hazard models were implemented to assess the risk of dementia, adjusted for age, sex, years of education, race, cognitive diagnosis, and APOE-ε4 status, with interaction terms as appropriate. RESULTS The final sample included 3698 no-NPS (age:72.8; 62.7 % female), and 1286 MBI-affective dysregulation participants (age:75; 54.5 % female). MBI-affective dysregulation had lower dementia-free survival (p < 0.0001) and greater incidence of dementia (HR = 1.76, CI:1.48-2.08, p < 0.001) versus no NPS. Interaction analyses revealed that MBI-affective dysregulation was associated with higher dementia incidence in Black participants than White (HR = 1.70, CI:1.00-2.87, p = 0.046), NC than MCI (HR = 1.73, CI:1.21-2.48, p = 0.0028), and APOE-ε4 noncarriers than carriers (HR = 1.47, CI:1.06-2.02, p = 0.0195). Of MBI-affective dysregulation converters to dementia, 85.5 % developed Alzheimer's disease, which increased to 91.4 % in those with amnestic MCI. LIMITATIONS MBI-affective dysregulation was not stratified by symptom to further examine dementia risk. CONCLUSIONS Emergent and persistent affective dysregulation in dementia-free older adults is associated with substantial risk for dementia and should be considered in clinical assessments.
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Affiliation(s)
- Inaara M Ebrahim
- Department of Psychiatry, Cumming School of Medicine, University of Calgary, Calgary, Canada
| | - Maryam Ghahremani
- Department of Psychiatry, Cumming School of Medicine, University of Calgary, Calgary, Canada; Hotchkiss Brain Institute, Cumming School of Medicine, University of Calgary, Calgary, Canada; Mathison Centre for Mental Health Research & Education, University of Calgary, Calgary, Canada
| | - Richard Camicioli
- Department of Medicine, Division of Neurology, University of Alberta, Edmonton, Canada
| | - Eric E Smith
- Hotchkiss Brain Institute, Cumming School of Medicine, University of Calgary, Calgary, Canada; Department of Medicine, Division of Neurology, University of Alberta, Edmonton, Canada; Department of Clinical Neurosciences, Cumming School of Medicine, University of Calgary, Calgary, Canada; Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Canada
| | - Zahinoor Ismail
- Department of Psychiatry, Cumming School of Medicine, University of Calgary, Calgary, Canada; Hotchkiss Brain Institute, Cumming School of Medicine, University of Calgary, Calgary, Canada; Mathison Centre for Mental Health Research & Education, University of Calgary, Calgary, Canada; Department of Medicine, Division of Neurology, University of Alberta, Edmonton, Canada; Department of Clinical Neurosciences, Cumming School of Medicine, University of Calgary, Calgary, Canada; Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Canada; School of Medicine and Health, University of Exeter, Exeter, UK.
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15
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Jin P, Xu J, Liao Z, Zhang Y, Wang Y, Sun W, Yu E. A review of current evidence for mild behavioral impairment as an early potential novel marker of Alzheimer's disease. Front Psychiatry 2023; 14:1099333. [PMID: 37293396 PMCID: PMC10246741 DOI: 10.3389/fpsyt.2023.1099333] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/15/2022] [Accepted: 03/31/2023] [Indexed: 06/10/2023] Open
Abstract
Mild behavioral impairment (MBI) is a neurobehavioral syndrome that occurs in the absence of cognitive impairment later in life (≥50 years of age). MBI is widespread in the pre-dementia stage and is closely associated with the progression of cognitive impairment, reflecting the neurobehavioral axis of pre-dementia risk states and complementing the traditional neurocognitive axis. Despite being the most common type of dementia, Alzheimer's disease (AD) does not yet have an effective treatment; therefore, early recognition and intervention are crucial. The Mild Behavioral Impairment Checklist is an effective tool for identifying MBI cases and helps identify people at risk of developing dementia. However, because the concept of MBI is still quite new, the overall understanding of it is relatively insufficient, especially in AD. Therefore, this review examines the current evidence from cognitive function, neuroimaging, and neuropathology that suggests the potential use of MBI as a risk indicator in preclinical AD.
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Affiliation(s)
- Piaopiao Jin
- The Second School of Clinical Medicine, Zhejiang Chinese Medical University, Hangzhou, China
| | - Jiaxi Xu
- The Second School of Clinical Medicine, Zhejiang Chinese Medical University, Hangzhou, China
| | - Zhengluan Liao
- Department of Geriatric VIP No. 3 (Department of Clinical Psychology), Rehabilitation Medicine Center, Zhejiang Provincial People’s Hospital, Affiliated People’s Hospital, Hangzhou Medical College, Hangzhou, China
| | - Yuhan Zhang
- The Second School of Clinical Medicine, Zhejiang Chinese Medical University, Hangzhou, China
| | - Ye Wang
- The Second School of Clinical Medicine, Zhejiang Chinese Medical University, Hangzhou, China
| | - Wangdi Sun
- Department of Psychiatry, Zhejiang Hospital, Hangzhou, China
| | - Enyan Yu
- Department of Psychiatry, The Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Institute of Basic Medicine and Cancer (IBMC), Chinese Academy of Sciences, Hangzhou, China
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16
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Imai A, Matsuoka T, Narumoto J. Emotional Dysregulation in Mild Behavioral Impairment Is Associated with Reduced Cortical Thickness in the Right Supramarginal Gyrus. J Alzheimers Dis 2023; 93:521-532. [PMID: 37038811 DOI: 10.3233/jad-220948] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/12/2023]
Abstract
BACKGROUND Mild behavioral impairment (MBI) has attracted attention as a possible precursor symptom of dementia, but its neural basis has not been fully investigated. OBJECTIVE We aimed to investigate the relationship between MBI and surface area, cortical thickness, and volume in the temporal and parietal lobes, which are strongly associated with dementia and emotional disorders. METHODS This retrospective study evaluated 123 participants: 90 with mild cognitive impairment (MCI), 13 with subjective cognitive decline (SCD), and 20 cognitively healthy (CH). Using analysis of covariance (ANCOVA) with sex, age, and MMSE score as covariates, cortical thickness, surface area, and volume in 10 regions were compared between groups with and without MBI. Groups with MBI emotional dysregulation were also compared with groups without MBI. RESULTS ANCOVA revealed significantly smaller cortical thickness in the MBI group's right parahippocampal (p = 0.01) and supramarginal gyri (p = 0.002). After multiple comparison correction, only the right supramarginal gyrus was significantly smaller (p = 0.02). When considering only MBI emotional dysregulation, the right parahippocampal and supramarginal gyrus' cortical thicknesses were significantly smaller in this MBI group (p = 0.03, 0.01). However, multiple comparison correction identified no significant differences (p = 0.14, 0.11). CONCLUSION Overall MBI and the emotional dysregulation domains were associated with reduced cortical thickness in the right parahippocampal and supramarginal gyri. Since neurodegeneration in the medial temporal and parietal lobe precedes early Alzheimer's disease (AD), MBI, particularly emotion dysregulation, may predict early AD below the diagnostic threshold.
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Affiliation(s)
- Ayu Imai
- Department of Psychiatry, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Teruyuki Matsuoka
- Department of Psychiatry, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Jin Narumoto
- Department of Psychiatry, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan
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Hu S, Patten S, Charlton A, Fischer K, Fick G, Smith EE, Ismail Z. Validating the Mild Behavioral Impairment Checklist in a Cognitive Clinic: Comparisons With the Neuropsychiatric Inventory Questionnaire. J Geriatr Psychiatry Neurol 2023; 36:107-120. [PMID: 35430902 PMCID: PMC9941652 DOI: 10.1177/08919887221093353] [Citation(s) in RCA: 18] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
OBJECTIVE To compare the utility of the Mild Behavioral Impairment-Checklist (MBI-C) and Neuropsychiatric Inventory Questionnaire (NPI-Q) to capture NPS in subjective cognitive decline (SCD), mild cognitive impairment (MCI), and dementia. METHODS In this cross-sectional memory clinic study, linear regression models compared MBI-C (n = 474) and NPI-Q (n = 1040) scores in relation to Montreal Cognitive Assessment (MoCA) score. RESULTS MBI prevalence was 37% in subjective cognitive decline, 54% in mild cognitive impairment, and 62% in dementia. Worse diagnostic status was associated with higher MBI-C and NPI-Q score (P < .001), lower MoCA (P < .001), and greater age (P < .001). Higher MBI-C (β -.09; 95% CI -.13, -.05) and NPI-Q (β -.17; 95% CI -.23, -.10) scores were associated with lower MoCA scores, with psychosis most strongly associated (β -1.11; 95% CI -1.56, -.65 vs β -1.14; 95% CI -1.55, -.73). CONCLUSIONS The MBI-C captures global and domain-specific NPS across cognitive stages. Both the MBI-C and NPI-Q have utility in characterizing NPS.
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Affiliation(s)
- Sophie Hu
- Department of Community Health Sciences, University of Calgary, Calgary, AB, Canada
- Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
| | - Scott Patten
- Department of Community Health Sciences, University of Calgary, Calgary, AB, Canada
- Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
- Department of Psychiatry, University of Calgary, Calgary, AB, Canada
- O’Brien Institute for Public Health, University of Calgary, Calgary, AB, Canada
| | - Anna Charlton
- Department of Clinical Neurosciences, University of Calgary, Calgary, AB, Canada
| | - Karyn Fischer
- Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
| | - Gordon Fick
- Department of Community Health Sciences, University of Calgary, Calgary, AB, Canada
- O’Brien Institute for Public Health, University of Calgary, Calgary, AB, Canada
| | - Eric E. Smith
- Department of Community Health Sciences, University of Calgary, Calgary, AB, Canada
- Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
- Department of Clinical Neurosciences, University of Calgary, Calgary, AB, Canada
| | - Zahinoor Ismail
- Department of Community Health Sciences, University of Calgary, Calgary, AB, Canada
- Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
- Department of Clinical Neurosciences, University of Calgary, Calgary, AB, Canada
- Department of Psychiatry, University of Calgary, Calgary, AB, Canada
- O’Brien Institute for Public Health, University of Calgary, Calgary, AB, Canada
- Zahinoor Ismail, MD, Hotchkiss Brain Institute, University of Calgary, 3280 Hospital Drive NW, TRW Building 1st Floor Calgary, AB T2N 4Z6, Canada.
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Matsuoka T, Imai A, Narumoto J. Neuroimaging of mild behavioral impairment: A systematic review. PCN REPORTS : PSYCHIATRY AND CLINICAL NEUROSCIENCES 2023; 2:e81. [PMID: 38868411 PMCID: PMC11114318 DOI: 10.1002/pcn5.81] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/28/2022] [Accepted: 01/30/2023] [Indexed: 06/14/2024]
Abstract
There are many neuroimaging studies of mild behavioral impairment (MBI), but the results have been somewhat inconsistent. Moreover, it remains unclear whether MBI is a risk factor or prodromal symptom of dementia. Therefore, a systematic review was conducted to summarize the results of neuroimaging studies of MBI and consider whether MBI is a prodromal symptom of dementia in terms of its neural correlates. A systematic review supported by a JSPS Grant-in-Aid for Scientific Research (C) was conducted using MBI neuroimaging studies identified using PubMed, PsycINFO, CINAHL, and Google Scholar on November 1, 2022. The inclusion criteria were (i) neuroimaging study; (ii) research on human subjects; (iii) papers written in English; and (iv) not a case study, review, book, comments, or abstract only. Joanna Briggs Institute critical appraisal checklists were used to assess the quality of selected studies, and 23 structural and functional imaging studies were ultimately included in the systematic review. The structural studies suggested an association of MBI with atrophy in the hippocampus, parahippocampal gyrus, entorhinal cortex, and temporal lobe, whereas the functional studies indicated involvement of an altered default mode network, frontoparietal control network, and salience network in MBI. A limitation in many studies was the use of region-of-interest analysis. The brain areas detected as neural correlates of MBI are considered to be alterations in the early stage of each dementia. Therefore, MBI may emerge against a background of pathological changes in dementia.
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Affiliation(s)
- Teruyuki Matsuoka
- Department of Psychiatry, Graduate School of Medical ScienceKyoto Prefectural University of MedicineKyotoJapan
| | - Ayu Imai
- Department of Psychiatry, Graduate School of Medical ScienceKyoto Prefectural University of MedicineKyotoJapan
| | - Jin Narumoto
- Department of Psychiatry, Graduate School of Medical ScienceKyoto Prefectural University of MedicineKyotoJapan
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Pépin É, Tanguay N, Roy MP, Macoir J, Bruneau MA, Ismail Z, Hudon C. Preliminary Validation Study of the French-Quebec Version of the Mild Behavioral Impairment Checklist. Cogn Behav Neurol 2023; 36:9-18. [PMID: 36201620 DOI: 10.1097/wnn.0000000000000321] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2021] [Accepted: 06/13/2022] [Indexed: 11/26/2022]
Abstract
BACKGROUND Alzheimer disease dementia may be preceded by cognitive stages during which behavioral and psychological changes can occur. More precisely, behavioral symptoms may be observed during the subjective cognitive decline (SCD) or the mild cognitive impairment (MCI) stages; these symptoms can be measured using the Mild Behavioral Impairment Checklist (MBI-C). OBJECTIVE To validate the French-Quebec version of the MBI-C in individuals ages 60-85 years. METHOD The sample included 60 participants (20 MCI, 20 SCD, 20 cognitively healthy) and their informants. To assess the discriminant validity of the MBI-C, a Kruskal-Wallis analysis with a multiple comparisons test was performed on the MBI-C Total score. To determine convergent validity, Spearman correlations were calculated between the MBI-C subscales and a set of validation tools. Finally, test-retest reliability was assessed with Spearman correlations of MBI-C scores between two test sessions. RESULTS All of the analyses indicated satisfactory psychometric properties for the French-Quebec version of the MBI-C. CONCLUSION This validation study reveals that the MBI-C can be used successfully in dementia risk assessments. From now on, the use of a validated MBI-C will be possible in the French-Quebec population.
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Affiliation(s)
- Émilie Pépin
- Universite du Quebec à Trois-Rivières, Trois-Rivières, Québec, Canada
- CERVO Brain Research Center, Québec, Québec, Canada
| | - Noémie Tanguay
- CERVO Brain Research Center, Québec, Québec, Canada
- Universite Laval, Québec, Québec, Canada
| | - Marie-Pier Roy
- CERVO Brain Research Center, Québec, Québec, Canada
- Universite Laval, Québec, Québec, Canada
| | - Joël Macoir
- CERVO Brain Research Center, Québec, Québec, Canada
- Universite Laval, Québec, Québec, Canada
| | - Marie-Andrée Bruneau
- Research Center of the University Institute of Geriatrics of Montreal, Montréal, Québec, Canada
- Department of Psychiatry and Addictology, University of Montreal, Montréal, Québec, Canada
| | - Zahinoor Ismail
- Department of Psychiatry, Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
- College of Health and Medicine, University of Exeter, Exeter, UK
| | - Carol Hudon
- CERVO Brain Research Center, Québec, Québec, Canada
- Universite Laval, Québec, Québec, Canada
- VITAM Research Center, Québec, Québec, Canada
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Vellone D, Ghahremani M, Goodarzi Z, Forkert ND, Smith EE, Ismail Z. Apathy and APOE in mild behavioral impairment, and risk for incident dementia. ALZHEIMER'S & DEMENTIA (NEW YORK, N. Y.) 2022; 8:e12370. [PMID: 36544988 PMCID: PMC9763783 DOI: 10.1002/trc2.12370] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/31/2022] [Revised: 11/17/2022] [Accepted: 11/23/2022] [Indexed: 12/24/2022]
Abstract
Introduction Mild behavioral impairment (MBI) is a high-risk state for incident dementia and comprises five core domains including affective dysregulation, impulse dyscontrol, social inappropriateness, psychotic symptoms, and apathy. Apathy is among the most common neuropsychiatric symptoms (NPS) in dementia but can also develop in persons with normal cognition (NC) or mild cognitive impairment (MCI). The later-life emergence and persistence of apathy as part of the MBI syndrome may be a driving factor for dementia risk. Therefore, we investigated MBI-apathy-associated progression to dementia, and effect modification by sex, race, cognitive diagnosis, and apolipoprotein E (APOE) genotype. Methods Dementia-free National Alzheimer's Coordinating Center participants were stratified by persistent apathy status, based on Neuropsychiatric Inventory (NPI)-Questionnaire scores at two consecutive visits. Hazard ratios (HRs) for incident dementia for MBI-apathy and NPI-apathy relative to no NPS, and MBI-apathy relative to no apathy, were determined using Cox proportional hazards regressions, adjusted for baseline age, sex, years of education, race, cognitive diagnosis, and APOE genotype. Interactions with relevant model covariates were explored. Results Of the 3932 participants (3247 with NC), 354 had MBI-apathy. Of all analytic groups, MBI-apathy had the greatest dementia incidence (HR = 2.69, 95% confidence interval [CI]: 2.15-3.36, P < 0.001). Interaction effects were observed between cognitive diagnosis and APOE genotype with the NPS group. The contribution of apathy to dementia risk was greater in NC (HR = 5.91, 95% CI: 3.91-8.93) than in MCI (HR = 2.16, 95% CI: 1.69-2.77, interaction P < 0.001) and in all APOE genotypes, was greatest in APOE ɛ3 (HR = 4.25, 95% CI: 3.1-5.82, interaction P < 0.001). Discussion Individuals with MBI-apathy have a markedly elevated risk for future dementia, especially when symptoms emerge in those with NC. Both cognitive status and APOE genotype are important moderators in the relationship between MBI-apathy and incident dementia. MBI-apathy may represent a group in whom apathy is a preclinical or prodromal manifestation of dementia and identify a precision medicine target for preventative interventions.
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Affiliation(s)
- Daniella Vellone
- Hotchkiss Brain InstituteCumming School of MedicineUniversity of CalgaryCalgaryAlbertaCanada
| | - Maryam Ghahremani
- Hotchkiss Brain InstituteCumming School of MedicineUniversity of CalgaryCalgaryAlbertaCanada,Department of PsychiatryCumming School of MedicineUniversity of CalgaryCalgaryAlbertaCanada
| | - Zahra Goodarzi
- Hotchkiss Brain InstituteCumming School of MedicineUniversity of CalgaryCalgaryAlbertaCanada,Mathison Centre for Mental Health Research and EducationCumming School of MedicineUniversity of CalgaryCalgaryAlbertaCanada,Department of Community Health SciencesCumming School of MedicineUniversity of CalgaryCalgaryAlbertaCanada,Department of MedicineCumming School of MedicineUniversity of CalgaryCalgaryAlbertaCanada,O'Brien Institute for Public HealthCumming School of MedicineUniversity of CalgaryCalgaryAlbertaCanada
| | - Nils D. Forkert
- Hotchkiss Brain InstituteCumming School of MedicineUniversity of CalgaryCalgaryAlbertaCanada,Department of RadiologyCumming School of MedicineUniversity of CalgaryCalgaryAlbertaCanada,Department of Clinical NeurosciencesCumming School of MedicineUniversity of CalgaryCalgaryAlbertaCanada,Alberta Children's Hospital Research InstituteUniversity of CalgaryCalgaryAlbertaCanada
| | - Eric E. Smith
- Hotchkiss Brain InstituteCumming School of MedicineUniversity of CalgaryCalgaryAlbertaCanada,Department of Clinical NeurosciencesCumming School of MedicineUniversity of CalgaryCalgaryAlbertaCanada
| | - Zahinoor Ismail
- Hotchkiss Brain InstituteCumming School of MedicineUniversity of CalgaryCalgaryAlbertaCanada,Department of PsychiatryCumming School of MedicineUniversity of CalgaryCalgaryAlbertaCanada,Mathison Centre for Mental Health Research and EducationCumming School of MedicineUniversity of CalgaryCalgaryAlbertaCanada,Department of Community Health SciencesCumming School of MedicineUniversity of CalgaryCalgaryAlbertaCanada,Department of MedicineCumming School of MedicineUniversity of CalgaryCalgaryAlbertaCanada,O'Brien Institute for Public HealthCumming School of MedicineUniversity of CalgaryCalgaryAlbertaCanada,Department of Clinical NeurosciencesCumming School of MedicineUniversity of CalgaryCalgaryAlbertaCanada,College of Medicine and HealthUniversity of ExeterExeterUK
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21
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Ruthirakuhan M, Ismail Z, Herrmann N, Gallagher D, Lanctot KL. Mild behavioral impairment is associated with progression to Alzheimer's disease: A clinicopathological study. Alzheimers Dement 2022; 18:2199-2208. [PMID: 35103400 PMCID: PMC9339594 DOI: 10.1002/alz.12519] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2021] [Revised: 09/24/2021] [Accepted: 09/28/2021] [Indexed: 01/31/2023]
Abstract
INTRODUCTION Mild behavioral impairment (MBI) is characterized by later-life emergence of neuropsychiatric symptoms. Investigating its relationship with progression to Alzheimer's disease (AD) would provide insight on its importance as a predictor of AD. METHODS Cognitively normal participants (N = 11,372) from the National Alzheimer's Coordinating Center were stratified by MBI status, using the Neuropsychiatric Inventory-Questionnaire. We investigated whether MBI and its domains were predictors of progression to clinically-diagnosed AD. MBI as a predictor of progression to neuropathology-confirmed AD was also investigated in those with neuropathological data. RESULTS Six percent (N = 671) of participants progressed to AD. MBI (N = 2765) was a significant predictor of progression to clinically-diagnosed (hazard ratio [HR] = 1.75) and neuropathology-confirmed AD (HR = 1.59). MBI domains were also associated with clinically-diagnosed AD, with psychosis having the greatest effect (HR = 6.49). DISCUSSION These findings support the biological underpinnings of MBI, emphasizing the importance of later life behavioral changes in dementia detection and prognostication.
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Affiliation(s)
- Myuri Ruthirakuhan
- Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, Toronto, Canada
| | - Zahinoor Ismail
- Department of Psychiatry, Hotchkiss Brain Institute and O’Brien Institute for Public Health University of Calgary, Calgary, Canada
| | - Nathan Herrmann
- Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, Toronto, Canada
- Department of Psychiatry, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Canada
| | - Damien Gallagher
- Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, Toronto, Canada
- Department of Psychiatry, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Canada
| | - Krista L. Lanctot
- Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, Toronto, Canada
- Department of Psychiatry, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Canada
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22
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McGirr A, Nathan S, Ghahremani M, Gill S, Smith EE, Ismail Z. Progression to Dementia or Reversion to Normal Cognition in Mild Cognitive Impairment as a Function of Late-Onset Neuropsychiatric Symptoms. Neurology 2022; 98:e2132-e2139. [PMID: 35351783 PMCID: PMC9169943 DOI: 10.1212/wnl.0000000000200256] [Citation(s) in RCA: 36] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2021] [Accepted: 02/04/2022] [Indexed: 01/26/2023] Open
Abstract
BACKGROUND AND OBJECTIVES Mild cognitive impairment (MCI) is an at-risk state for dementia; however, not all individuals with MCI transition to dementia, and some revert to normal cognition (NC). Here, we investigate whether mild behavioral impairment (MBI), the late-life onset of persistent neuropsychiatric symptoms (NPS), improves the prognostic specificity of MCI. METHODS Participants with MCI from the National Alzheimer's Coordinating Center Uniform Data Set were included. NPS were operationalized with the Neuropsychiatric Inventory Questionnaire to identify participants without NPS and those with MBI (persistent, late-onset NPS). Individuals with late-onset NPS not meeting the MBI persistence criterion (NPS_NOT_MBI) were retained for secondary analyses. Progression to dementia, stable MCI, and reversion to NC after 3 years of follow-up were defined per National Institute on Aging-Alzheimer's Association and Petersen criteria. RESULTS The primary sample consisted of 739 participants (NPS- n = 409 and MBI+ n = 330; 75.16 ± 8.6 years old, 40.5% female). After 3 years, 238 participants (33.6%) progressed to dementia, and 90 (12.2%) reverted to NC. Compared to participants without NPS, participants with MBI were significantly more likely to progress to dementia (adjusted odds ratio [AOR] 2.13, 95% CI 1.52-2.99), with an annual progression rate of 14.7% (vs 8.3% for participants with MCI without NPS). Compared to participants without NPS, participants with MBI were less likely to revert to NC (AOR 0.48, 95% CI 0.28-0.83, 2.5% vs 5.3% annual reversion rate). The NPS_NOT_MBI group (n = 331, 76.5 ± 8.6 years old, 45.9% female) were more likely to progress to dementia (AOR 2.18, 95% CI 1.56-3.03, 14.3% annual progression rate) but not less likely to revert to NC than those without NPS. Accordingly, both NPS_NOT_MBI and MBI+ participants had lower Mini-Mental State Examination scores than NPS- participants after 3 years. DISCUSSION Late-onset NPS improve the specificity of MCI as an at-risk state for progression to dementia. However, only persistent late-onset NPS are associated with a lower likelihood of reversion to NC, with transient NPS (i.e., NPS_NOT_MBI) not differing from the NPS- group. Clinical prognostication can be improved by incorporating late-onset NPS, especially those that persist (i.e., MBI), into risk assessments. Clinical trials may benefit from enrichment with these higher-risk participants with MCI.
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Affiliation(s)
- Alexander McGirr
- From the Department of Psychiatry (A.M., Z.I.), Hotchkiss Brain Institute (A.M., S.N., M.G., S.G., E.S., Z.I.), Mathison Centre for Mental Health Research and Education (A.M., Z.I.), Department of Clinical Neurosciences (E.S., Z.I.), Department of Community Health Sciences (Z.I.), and O'Brien Institute for Public Health (Z.I.), Cumming School of Medicine, University of Calgary, Alberta, Canada
| | - Santhosh Nathan
- From the Department of Psychiatry (A.M., Z.I.), Hotchkiss Brain Institute (A.M., S.N., M.G., S.G., E.S., Z.I.), Mathison Centre for Mental Health Research and Education (A.M., Z.I.), Department of Clinical Neurosciences (E.S., Z.I.), Department of Community Health Sciences (Z.I.), and O'Brien Institute for Public Health (Z.I.), Cumming School of Medicine, University of Calgary, Alberta, Canada
| | - Maryam Ghahremani
- From the Department of Psychiatry (A.M., Z.I.), Hotchkiss Brain Institute (A.M., S.N., M.G., S.G., E.S., Z.I.), Mathison Centre for Mental Health Research and Education (A.M., Z.I.), Department of Clinical Neurosciences (E.S., Z.I.), Department of Community Health Sciences (Z.I.), and O'Brien Institute for Public Health (Z.I.), Cumming School of Medicine, University of Calgary, Alberta, Canada
| | - Sascha Gill
- From the Department of Psychiatry (A.M., Z.I.), Hotchkiss Brain Institute (A.M., S.N., M.G., S.G., E.S., Z.I.), Mathison Centre for Mental Health Research and Education (A.M., Z.I.), Department of Clinical Neurosciences (E.S., Z.I.), Department of Community Health Sciences (Z.I.), and O'Brien Institute for Public Health (Z.I.), Cumming School of Medicine, University of Calgary, Alberta, Canada
| | - Eric E Smith
- From the Department of Psychiatry (A.M., Z.I.), Hotchkiss Brain Institute (A.M., S.N., M.G., S.G., E.S., Z.I.), Mathison Centre for Mental Health Research and Education (A.M., Z.I.), Department of Clinical Neurosciences (E.S., Z.I.), Department of Community Health Sciences (Z.I.), and O'Brien Institute for Public Health (Z.I.), Cumming School of Medicine, University of Calgary, Alberta, Canada
| | - Zahinoor Ismail
- From the Department of Psychiatry (A.M., Z.I.), Hotchkiss Brain Institute (A.M., S.N., M.G., S.G., E.S., Z.I.), Mathison Centre for Mental Health Research and Education (A.M., Z.I.), Department of Clinical Neurosciences (E.S., Z.I.), Department of Community Health Sciences (Z.I.), and O'Brien Institute for Public Health (Z.I.), Cumming School of Medicine, University of Calgary, Alberta, Canada
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23
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Miao R, Chen HY, Gill S, Naude J, Smith EE, Ismail Z. Plasma β-Amyloid in Mild Behavioural Impairment - Neuropsychiatric Symptoms on the Alzheimer's Continuum. J Geriatr Psychiatry Neurol 2022; 35:434-441. [PMID: 34036829 DOI: 10.1177/08919887211016068] [Citation(s) in RCA: 35] [Impact Index Per Article: 17.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
INTRODUCTION Simple markers are required to recognize older adults at higher risk for neurodegenerative disease. Mild behavioural impairment (MBI) and plasma β-amyloid (Aβ) have been independently implicated in the development of incident cognitive decline and dementia. Here we studied the associations between MBI and plasma Aβ42/Aβ40. METHODS Participants with normal cognition (n = 86) or mild cognitive impairment (n = 53) were selected from the Alzheimer's Disease Neuroimaging Initiative. MBI scores were derived from Neuropsychiatric Inventory items. Plasma Aβ42/Aβ40 ratios were assayed using mass spectrometry. Linear regressions were fitted to assess the association between MBI total score as well as MBI domain scores with plasma Aβ42/Aβ40. RESULTS Lower plasma Aβ42/Aβ40 was associated with higher MBI total score (p = 0.04) and greater affective dysregulation (p = 0.04), but not with impaired drive/motivation (p = 0.095) or impulse dyscontrol (p = 0.29) MBI domains. CONCLUSION In persons with normal cognition or mild cognitive impairment, MBI was associated with low plasma Aβ42/Aβ40. Incorporating MBI into case detection may help capture preclinical and prodromal Alzheimer's disease.
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Affiliation(s)
- Ruxin Miao
- Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada.,Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Hung-Yu Chen
- Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada.,Department of Clinical Neurosciences, University of Calgary, Calgary, Alberta, Canada
| | - Sascha Gill
- Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada.,Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.,Department of Clinical Neurosciences, University of Calgary, Calgary, Alberta, Canada
| | - James Naude
- Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
| | - Eric E Smith
- Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada.,Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.,Department of Clinical Neurosciences, University of Calgary, Calgary, Alberta, Canada
| | - Zahinoor Ismail
- Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada.,Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.,Department of Clinical Neurosciences, University of Calgary, Calgary, Alberta, Canada.,Department of Psychiatry, University of Calgary, Calgary, Alberta, Canada
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24
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Psychosis in Alzheimer disease - mechanisms, genetics and therapeutic opportunities. Nat Rev Neurol 2022; 18:131-144. [PMID: 34983978 PMCID: PMC9074132 DOI: 10.1038/s41582-021-00597-3] [Citation(s) in RCA: 53] [Impact Index Per Article: 26.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/29/2021] [Indexed: 12/14/2022]
Abstract
Psychosis is a common and distressing symptom in people with Alzheimer disease, and few safe and effective treatments are available. However, new approaches to symptom assessment and treatment are beginning to drive the field forward. New nosological perspectives have been provided by incorporating the emergence of psychotic symptoms in older adults - even in advance of dementia - into epidemiological and neurobiological frameworks as well as into diagnostic and research criteria such as the International Psychogeriatric Association criteria for psychosis in neurocognitive disorders, the Alzheimer's Association International Society to Advance Alzheimer's Research and Treatment (ISTAART) research criteria for psychosis in neurodegenerative disease, and the ISTAART criteria for mild behavioural impairment. Here, we highlight the latest findings in genomics, neuroimaging and neurobiology that are informing approaches to drug discovery and repurposing. Current pharmacological and non-pharmacological treatment options are discussed, with a focus on safety and precision medicine. We also explore trial data for pimavanserin, a novel agent that shows promise for the treatment of psychosis in people with dementia, and discuss existing agents that might be useful but need further exploration such as escitalopram, lithium, cholinesterase inhibitors and vitamin D. Although the assessment and management of psychosis in people with dementia remain challenging, new opportunities are providing direction and hope to the field.
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25
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Carbone E, Piras F, Pastore M, Borella E. The Role of Individual Characteristics in Predicting Short- and Long-Term Cognitive and Psychological Benefits of Cognitive Stimulation Therapy for Mild-to-Moderate Dementia. Front Aging Neurosci 2022; 13:811127. [PMID: 35087398 PMCID: PMC8787290 DOI: 10.3389/fnagi.2021.811127] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2021] [Accepted: 12/20/2021] [Indexed: 11/24/2022] Open
Abstract
Introduction: This study examined the role of individual characteristics in predicting short- and long-term benefits of the Italian version of Cognitive Stimulation Therapy (CST-IT), an evidence-based intervention for people with mild-to-moderate dementia. Materials and Methods: Data were drawn from a sample (N = 123) of people with dementia (PwD) who took part in a multicenter controlled clinical trial of CST-IT. Assessments at pre-test, immediately after completing the treatment, and 3 months later investigated the following outcomes: general cognitive functioning and language, mood and behavior, everyday functioning, and quality of life. Age, education and baseline (pre-test) cognitive functioning, mood (depression) and behavioral and neuropsychiatric symptoms were considered as predictors of any short- and long-term benefits. Results: Linear mixed-effects models showed that different individual characteristics -particularly education and age- influenced the benefits of CST-IT, depending on the outcome measures considered. Higher education predicted larger gains in general cognitive functioning and, along with less severe depressive symptoms, in language (magnification effects). Older age was associated with positive changes in mood (compensation effects). Albeit very modestly, older age was also associated with larger gains in everyday functioning (compensation effects). Gains in quality of life were predicted by older age and lower education (compensation effects). Baseline cognitive functioning, mood and/or behavioral symptoms broadly influenced performance too, but their role again depended on the outcomes considered. Discussion: These findings underscore the importance of considering and further exploring how psychosocial interventions like CST are affected by individual characteristics in order to maximize their efficacy for PwD.
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Affiliation(s)
- Elena Carbone
- Department of General Psychology, University of Padova, Padua, Italy
- *Correspondence: Elena Carbone,
| | - Federica Piras
- Neuropsychiatry Laboratory, Clinical and Behavioral Neurology Department, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Santa Lucia Foundation, Rome, Italy
| | - Massimiliano Pastore
- Department of Developmental Psychology and Socialization, University of Padova, Padua, Italy
| | - Erika Borella
- Department of General Psychology, University of Padova, Padua, Italy
- Erika Borella,
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Stella F, Pais MV, Loureiro JC, Radanovic M, Forlenza OV. Neuropsychiatric symptoms and cerebrovascular risk in non-demented elders: cross-sectional study using the mild behavioural impairment checklist (MBI-C). Psychogeriatrics 2022; 22:55-66. [PMID: 34704636 DOI: 10.1111/psyg.12776] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/25/2021] [Revised: 09/20/2021] [Accepted: 10/12/2021] [Indexed: 12/11/2022]
Abstract
BACKGROUND Neuropsychiatric symptoms (NPS) may represent early clinical manifestations of evolving brain diseases. Studies underpin the occurrence of NPS in the context of mild cognitive impairment (MCI) and prodromal Alzheimer's disease, where symptoms referred to as 'mild behavioural impairment' (MBI) have been shown to predict conversion to dementia and to hasten cognitive/functional decline. However, the association between NPS and cerebrovascular risk factors has been poorly investigated, despite the high prevalence of the latter among individuals with MCI. The aim of the present study was to investigate the association between MBI and cerebrovascular risk in a clinical sample of non-demented elders. METHODS Sixty-five MCI and 15 cognitively unimpaired older adults were cross-sectionally assessed with the Mild Behavioural Impairment Checklist (MBI-C), using the cut-off score > 6.5 to define positive screening. Participants were submitted to the Hachinski Ischaemic Score (HIS) to account for cerebrovascular symptoms, vascular risk, and related comorbidities. Neuroimaging scans (magnetic resonance imaging and/or 18F-fluorodeoxyglucose-positron emission tomography) and apolipoprotein E genotype were obtained. RESULTS Positive associations were found between total MBI-C scores and increasing number of comorbidities present (0-2 comorbidities), but not with three comorbidities. Two domains of the MBI-C-impulse dyscontrol and social inappropriateness-followed the same trend of the MBI-C total score, with higher scores with the increasing numbers of comorbidities. No significant associations were found between MBI symptoms and HIS or cerebrovascular burden in neuroimaging assessment. CONCLUSION We found weak associations between MBI-C total score and the presence of comorbidities with cerebrovascular risk, but not with structural or functional neuroimaging abnormalities or HIS. This finding may represent that the presence of comorbidities adds limited risk to the occurrence of MBI in this sample of non-demented elders.
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Affiliation(s)
- Florindo Stella
- Laboratory of Neuroscience (LIM-27), Departamento e Instituto de Psiquiatria, Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo (HCFMUSP), Sao Paulo, Brazil.,Instituto Nacional de Biomarcadores em Neuropsiquiatria (InBion), Conselho Nacional de Desenvolvimento Científico e Tecnológico, Sao Paulo, Brazil.,UNESP-Universidade Estadual Paulista, Instituto de Biociências, Sao Paulo, Brazil
| | - Marcos V Pais
- Laboratory of Neuroscience (LIM-27), Departamento e Instituto de Psiquiatria, Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo (HCFMUSP), Sao Paulo, Brazil.,Instituto Nacional de Biomarcadores em Neuropsiquiatria (InBion), Conselho Nacional de Desenvolvimento Científico e Tecnológico, Sao Paulo, Brazil
| | - Júlia C Loureiro
- Laboratory of Neuroscience (LIM-27), Departamento e Instituto de Psiquiatria, Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo (HCFMUSP), Sao Paulo, Brazil.,Instituto Nacional de Biomarcadores em Neuropsiquiatria (InBion), Conselho Nacional de Desenvolvimento Científico e Tecnológico, Sao Paulo, Brazil
| | - Marcia Radanovic
- Laboratory of Neuroscience (LIM-27), Departamento e Instituto de Psiquiatria, Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo (HCFMUSP), Sao Paulo, Brazil.,Instituto Nacional de Biomarcadores em Neuropsiquiatria (InBion), Conselho Nacional de Desenvolvimento Científico e Tecnológico, Sao Paulo, Brazil
| | - Orestes V Forlenza
- Laboratory of Neuroscience (LIM-27), Departamento e Instituto de Psiquiatria, Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo (HCFMUSP), Sao Paulo, Brazil.,Instituto Nacional de Biomarcadores em Neuropsiquiatria (InBion), Conselho Nacional de Desenvolvimento Científico e Tecnológico, Sao Paulo, Brazil
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27
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Neuropsychiatric symptoms and mortality among patients with mild cognitive impairment and dementia due to Alzheimer's disease. J Formos Med Assoc 2021; 121:1705-1713. [PMID: 34933801 DOI: 10.1016/j.jfma.2021.12.004] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2021] [Revised: 10/28/2021] [Accepted: 12/07/2021] [Indexed: 11/22/2022] Open
Abstract
BACKGROUND Neuropsychiatric symptoms (NPS) could increase mortality risk in people with dementia due to Alzheimer's disease (AD). However, whether NPS affects mortality risk in people with mild cognitive impairment (MCI) and whether any specific syndrome of NPS influences this risk are still unclear. METHODS In total, 984 participants with dementia due to AD, 338 with MCI, and 365 controls were enrolled. Over a mean of 5-year follow-up, cause of death data were obtained from the Ministry of Health and Welfare in Taiwan. NPS were assessed using Neuropsychiatric Inventory Questionnaire (NPI-Q), and psychosis, mood, and frontal domain scores were determined. Survival analyses were conducted to determine the hazard ratio (HR) of death. RESULTS In controlled analyses, HR of death for AD was 2.19 (95% confidence interval [CI] = 1.29-3.71) compared with the control group, whereas no statistical significance was noted for the MCI group. A high NPI-Q score (above the median score) increased mortality risk for both the MCI and AD groups, with HRs of 2.32 (95% CI = 1.07-5.03) and 2.60 (95% CI = 1.51-4.47), respectively. Among NPI-Q domain scores, only high mood domain, but not psychosis or frontal domain, scores increased death risk for both the MCI (HR = 2.89, 95% CI = 1.00-8.51) and AD (HR = 2.59, 95% CI = 1.47-4.55) groups. CONCLUSION Mortality risk is high for patients with AD. Not only for AD, patients with MCI presenting with NPS, particularly mood symptoms, have high death risk.
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Gill S, Wang M, Mouches P, Rajashekar D, Sajobi T, MacMaster FP, Smith EE, Forkert ND, Ismail Z. Neural correlates of the impulse dyscontrol domain of mild behavioral impairment. Int J Geriatr Psychiatry 2021; 36:1398-1406. [PMID: 33778998 PMCID: PMC9292816 DOI: 10.1002/gps.5540] [Citation(s) in RCA: 39] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/25/2021] [Accepted: 03/21/2021] [Indexed: 12/17/2022]
Abstract
OBJECTIVES Agitation and aggression are common in dementia and pre-dementia. The dementia risk syndrome mild behavioral impairment (MBI) includes these symptoms in the impulse dyscontrol domain. However, the neural circuitry associated with impulse dyscontrol in neurodegenerative disease is not well understood. The objective of this work was to investigate if regional micro- and macro-structural brain properties were associated with impulse dyscontrol symptoms in older adults with normal cognition, mild cognitive impairment, and Alzheimer's disease (AD). METHODS Clinical, neuropsychiatric, and T1-weighted and diffusion-tensor magnetic resonance imaging (DTI) data from 80 individuals with and 123 individuals without impulse dyscontrol were obtained from the AD Neuroimaging Initiative. Linear mixed effect models were used to assess if impulse dyscontrol was related to regional DTI and volumetric parameters. RESULTS Impulse dyscontrol was present in 17% of participants with NC, 43% with MCI, and 66% with AD. Impulse dyscontrol was associated with: (1) lower fractional anisotropy (FA), and greater mean, axial, and radial diffusivity in the fornix; (2) lesser FA and greater radial diffusivity in the superior fronto-occipital fasciculus; (3) greater axial diffusivity in the cingulum; (4) greater axial and radial diffusivity in the uncinate fasciculus; (5) gray matter atrophy, specifically, lower cortical thickness in the parahippocampal gyrus. CONCLUSION Our findings provide evidence that well-established atrophy patterns of AD are prominent in the presence of impulse dyscontrol, even when disease status is controlled for, and possibly in advance of dementia. Our findings support the growing evidence for impulse dyscontrol symptoms as an early manifestation of AD.
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Affiliation(s)
- Sascha Gill
- Hotchkiss Brain InstituteCumming School of Medicine, University of CalgaryCalgaryAlbertaCanada,Department of Clinical NeurosciencesUniversity of CalgaryCalgaryAlbertaCanada
| | - Meng Wang
- Hotchkiss Brain InstituteCumming School of Medicine, University of CalgaryCalgaryAlbertaCanada,Department of Community Health ScienceUniversity of CalgaryCalgaryAlbertaCanada
| | - Pauline Mouches
- Hotchkiss Brain InstituteCumming School of Medicine, University of CalgaryCalgaryAlbertaCanada,Department of RadiologyUniversity of CalgaryCalgaryAlbertaCanada
| | - Deepthi Rajashekar
- Hotchkiss Brain InstituteCumming School of Medicine, University of CalgaryCalgaryAlbertaCanada,Department of RadiologyUniversity of CalgaryCalgaryAlbertaCanada
| | - Tolulope Sajobi
- Hotchkiss Brain InstituteCumming School of Medicine, University of CalgaryCalgaryAlbertaCanada,Department of Community Health ScienceUniversity of CalgaryCalgaryAlbertaCanada
| | - Frank P MacMaster
- Hotchkiss Brain InstituteCumming School of Medicine, University of CalgaryCalgaryAlbertaCanada,Department of PsychiatryUniversity of CalgaryCalgaryAlbertaCanada,Addiction and Mental Health Strategic Clinical NetworkAlberta Health ServicesAlbertaCanada
| | - Eric E Smith
- Hotchkiss Brain InstituteCumming School of Medicine, University of CalgaryCalgaryAlbertaCanada,Department of Clinical NeurosciencesUniversity of CalgaryCalgaryAlbertaCanada
| | - Nils D Forkert
- Hotchkiss Brain InstituteCumming School of Medicine, University of CalgaryCalgaryAlbertaCanada,Department of Clinical NeurosciencesUniversity of CalgaryCalgaryAlbertaCanada,Department of RadiologyUniversity of CalgaryCalgaryAlbertaCanada
| | - Zahinoor Ismail
- Hotchkiss Brain InstituteCumming School of Medicine, University of CalgaryCalgaryAlbertaCanada,Department of Clinical NeurosciencesUniversity of CalgaryCalgaryAlbertaCanada,Department of Community Health ScienceUniversity of CalgaryCalgaryAlbertaCanada,Department of PsychiatryUniversity of CalgaryCalgaryAlbertaCanada,O'Brien Institute for Public HealthCumming School of Medicine, University of CalgaryCalgaryAlbertaCanada
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Matsuoka T, Ueno D, Ismail Z, Rubinstein E, Uchida H, Mimura M, Narumoto J. Neural Correlates of Mild Behavioral Impairment: A Functional Brain Connectivity Study Using Resting-State Functional Magnetic Resonance Imaging. J Alzheimers Dis 2021; 83:1221-1231. [PMID: 34420972 PMCID: PMC8543254 DOI: 10.3233/jad-210628] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Abstract
Background: Mild behavioral impairment (MBI) is associated with accelerated cognitive decline and greater risk of dementia. However, the neural correlates of MBI have not been completely elucidated. Objective: The study aimed to investigate the correlation between cognitively normal participants and participants with amnestic mild cognitive impairment (aMCI) using resting-state functional magnetic resonance imaging. Methods: The study included 30 cognitively normal participants and 13 participants with aMCI (20 men and 23 women; mean age, 76.9 years). The MBI was assessed using the MBI checklist (MBI-C). Region of interest (ROI)-to-ROI analysis was performed to examine the correlation between MBI-C scores and functional connectivity (FC) of the default mode network, salience network, and frontoparietal control network (FPCN). Age, Mini-Mental State Examination score, sex, and education were used as covariates. A p-value of 0.05, with false discovery rate correction, was considered significant. Results: A negative correlation was observed between the MBI-C total score and FC of the left posterior parietal cortex with the right middle frontal gyrus. A similar result was obtained for the MBI-C affective dysregulation domain score. Conclusion: FPCN dysfunction was detected as a neural correlate of MBI, especially in the affective dysregulation domain. This dysfunction may be associated with cognitive impairment in MBI and conversion of MBI to dementia; however, further longitudinal data are needed to examine this relationship.
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Affiliation(s)
- Teruyuki Matsuoka
- Department of Psychiatry, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kamigyo-ku, Kyoto, Japan
| | - Daisuke Ueno
- Department of Psychiatry, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kamigyo-ku, Kyoto, Japan
| | - Zahinoor Ismail
- Departments of Psychiatry, Clinical Neurosciences, and Community Health Sciences, Hotchkiss Brain Institute and O'Brien Institute for Public Health, University of Calgary, Calgary, Canada
| | - Ellen Rubinstein
- Department of Sociology and Anthropology, North Dakota State University, Fargo, ND, USA
| | - Hiroyuki Uchida
- Department of Neuropsychiatry, Keio University School of Medicine, Shinjuku-ku, Tokyo, Japan
| | - Masaru Mimura
- Department of Neuropsychiatry, Keio University School of Medicine, Shinjuku-ku, Tokyo, Japan
| | - Jin Narumoto
- Department of Psychiatry, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kamigyo-ku, Kyoto, Japan
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Matuskova V, Ismail Z, Nikolai T, Markova H, Cechova K, Nedelska Z, Laczo J, Wang M, Hort J, Vyhnalek M. Mild Behavioral Impairment Is Associated With Atrophy of Entorhinal Cortex and Hippocampus in a Memory Clinic Cohort. Front Aging Neurosci 2021; 13:643271. [PMID: 34108874 PMCID: PMC8180573 DOI: 10.3389/fnagi.2021.643271] [Citation(s) in RCA: 53] [Impact Index Per Article: 17.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2020] [Accepted: 04/16/2021] [Indexed: 12/22/2022] Open
Abstract
Objectives Mild behavioral impairment (MBI) is a syndrome describing late-onset persistent neuropsychiatric symptoms (NPS) in non-demented older adults. Few studies to date have investigated the associations of MBI with structural brain changes. Our aim was to explore structural correlates of NPS in a non-demented memory clinic sample using the Mild Behavioral Impairment Checklist (MBI-C) that has been developed to measure MBI. Methods One hundred sixteen non-demented older adults from the Czech Brain Aging Study with subjective cognitive concerns were classified as subjective cognitive decline (n = 37) or mild cognitive impairment (n = 79). Participants underwent neurological and neuropsychological examinations and brain magnetic resonance imaging (MRI) (1.5 T). The Czech version of the MBI-C was administered to participants’ informants. Five a priori selected brain regions were measured, namely, thicknesses of the orbitofrontal cortex (OFC), anterior cingulate cortex (ACC), posterior cingulate cortex (PCC), and entorhinal cortex (ERC) and volume of the hippocampus (HV), and correlated with MBI-C total and domain scores. Results Entorhinal cortex was associated with MBI-C total score (rS = −0.368, p < 0.001) and with impulse dyscontrol score (rS = −0.284, p = 0.002). HV was associated with decreased motivation (rS = −0.248, p = 0.008) and impulse dyscontrol score (rS = −0.240, p = 0.011). Conclusion Neuropsychiatric symptoms, particularly in the MBI impulse dyscontrol and motivation domains, are associated with medial temporal lobe atrophy in a clinical cohort of non-demented older adults. This study supports earlier involvement of temporal rather than frontal regions in NPS manifestation. Since these regions are typically affected early in the course of Alzheimer’s disease (AD), the MBI-C may potentially help further identify individuals at-risk of developing AD dementia.
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Affiliation(s)
- Veronika Matuskova
- Memory Clinic, Department of Neurology, Second Faculty of Medicine, Charles University and Motol University Hospital, Prague, Czechia.,International Clinical Research Center, St. Anne's University Hospital Brno, Brno, Czechia
| | - Zahinoor Ismail
- Department of Psychiatry, Cumming School of Medicine, Calgary, AB, Canada.,Department of Clinical Neurosciences, Cumming School of Medicine, Calgary, AB, Canada.,Department of Community Health Sciences, Cumming School of Medicine, Calgary, AB, Canada.,Hotchkiss Brain Institute and O'Brien Institute for Public Health, University of Calgary, Calgary, AB, Canada
| | - Tomas Nikolai
- Memory Clinic, Department of Neurology, Second Faculty of Medicine, Charles University and Motol University Hospital, Prague, Czechia.,International Clinical Research Center, St. Anne's University Hospital Brno, Brno, Czechia
| | - Hana Markova
- Memory Clinic, Department of Neurology, Second Faculty of Medicine, Charles University and Motol University Hospital, Prague, Czechia.,International Clinical Research Center, St. Anne's University Hospital Brno, Brno, Czechia
| | - Katerina Cechova
- Memory Clinic, Department of Neurology, Second Faculty of Medicine, Charles University and Motol University Hospital, Prague, Czechia.,International Clinical Research Center, St. Anne's University Hospital Brno, Brno, Czechia
| | - Zuzana Nedelska
- Memory Clinic, Department of Neurology, Second Faculty of Medicine, Charles University and Motol University Hospital, Prague, Czechia.,International Clinical Research Center, St. Anne's University Hospital Brno, Brno, Czechia
| | - Jan Laczo
- Memory Clinic, Department of Neurology, Second Faculty of Medicine, Charles University and Motol University Hospital, Prague, Czechia.,International Clinical Research Center, St. Anne's University Hospital Brno, Brno, Czechia
| | - Meng Wang
- Department of Clinical Neurosciences, Cumming School of Medicine, Calgary, AB, Canada.,Department of Community Health Sciences, Cumming School of Medicine, Calgary, AB, Canada
| | - Jakub Hort
- Memory Clinic, Department of Neurology, Second Faculty of Medicine, Charles University and Motol University Hospital, Prague, Czechia.,International Clinical Research Center, St. Anne's University Hospital Brno, Brno, Czechia
| | - Martin Vyhnalek
- Memory Clinic, Department of Neurology, Second Faculty of Medicine, Charles University and Motol University Hospital, Prague, Czechia.,International Clinical Research Center, St. Anne's University Hospital Brno, Brno, Czechia
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Creese B, Arathimos R, Brooker H, Aarsland D, Corbett A, Lewis C, Ballard C, Ismail Z. Genetic risk for Alzheimer's disease, cognition, and mild behavioral impairment in healthy older adults. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2021; 13:e12164. [PMID: 33748395 PMCID: PMC7968121 DOI: 10.1002/dad2.12164] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/31/2020] [Revised: 01/22/2021] [Accepted: 01/26/2021] [Indexed: 11/07/2022]
Abstract
BACKGROUND The neuropsychiatric syndrome mild behavioral impairment (MBI) describes an at-risk state for dementia and may be a useful screening tool for sample enrichment. We hypothesized that stratifying a cognitively normal sample on MBI status would enhance the association between genetic risk for Alzheimer's disease (AD) and cognition. METHODS Data from 4458 participants over age 50 without dementia was analyzed. A cognitive composite score was constructed and the MBI Checklist was used to stratify those with MBI and those without. Polygenic scores for AD were generated using summary statistics from the IGAP study. RESULTS AD genetic risk was associated with worse cognition in the MBI group but not in the no MBI group (MBI: β = -0.09, 95% confidence interval: -0.13 to -0.03, P = 0.002, R2 = 0.003). The strongest association was in those with more severe MBI aged ≥65. CONCLUSIONS MBI is an important feature of aging; screening on MBI may be a useful sample enrichment strategy for clinical research.
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Affiliation(s)
- Byron Creese
- Medical SchoolCollege of Medicine and HealthUniversity of ExeterExeterUK
| | - Ryan Arathimos
- King's College LondonSocial Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and NeuroscienceLondonUK
| | - Helen Brooker
- Medical SchoolCollege of Medicine and HealthUniversity of ExeterExeterUK
| | - Dag Aarsland
- Department of Old Age Psychiatry, Institute of Psychiatry, Psychology and NeuroscienceKing's College LondonLondonUK
- Centre for Age‐Related MedicineStavanger University HospitalStavangerNorway
| | - Anne Corbett
- Medical SchoolCollege of Medicine and HealthUniversity of ExeterExeterUK
| | - Cathryn Lewis
- King's College LondonSocial Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and NeuroscienceLondonUK
| | - Clive Ballard
- Medical SchoolCollege of Medicine and HealthUniversity of ExeterExeterUK
| | - Zahinoor Ismail
- Medical SchoolCollege of Medicine and HealthUniversity of ExeterExeterUK
- Departments of Psychiatry, Clinical Neurosciences, and Community Health SciencesHotchkiss Brain Institute and O'Brien Institute for PublicHealthUniversity of CalgaryCalgaryAlbertaCanada
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Mild behavioral impairment: challenges facing a quickly developing evidence base. Int Psychogeriatr 2021; 33:209-212. [PMID: 33781359 DOI: 10.1017/s1041610220004020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
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Ramezani M, Ruskey JA, Martens K, Kibreab M, Javer Z, Kathol I, Hammer T, Cheetham J, Leveille E, Martino D, Sarna JR, Gan-Or Z, Pfeffer G, Ismail Z, Monchi O. Association Between BDNF Val66Met Polymorphism and Mild Behavioral Impairment in Patients With Parkinson's Disease. Front Neurol 2021; 11:587992. [PMID: 33584494 PMCID: PMC7874164 DOI: 10.3389/fneur.2020.587992] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2020] [Accepted: 12/02/2020] [Indexed: 12/13/2022] Open
Abstract
Neuropsychiatric symptoms (NPS) are common in Parkinson's disease (PD) and have demonstrated an association with the p. Val66Met, a polymorphism in the BDNF gene. Mild behavioral impairment (MBI) is a validated syndrome describing emergent and persistent NPS in older adults as a marker of potential cognitive decline and dementia. This study investigated if PD patients with the Met allele were more likely to have MBI and whether they had impairments in specific domains of MBI using the Mild Behavioral Impairment Checklist (MBI-C) as the MBI ascertainment tool. One hundred forty-six PD patients were screened for neuropsychiatric and cognitive impairments with the MBI-C and the Montreal Cognitive Assessment (MoCA). All participants were genotyped for the BDNF p.Val66Met single-nucleotide polymorphism (SNP) using TaqMan Genotyping Assay. Statistical analysis was performed using multiple linear and logistic regression models. Met carriers had a 2 times higher likelihood of being MBI positive (MBI-C total score ≥8) than Val carriers. Met carriers had significantly higher MBI-C total scores and significantly greater impairments in the mood/anxiety and the psychotic domains of MBI-C compared to Val carriers. These findings indicate that the BDNF Met allele is associated with a higher neuropsychiatric burden in PD.
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Affiliation(s)
- Mehrafarin Ramezani
- Department of Clinical Neuroscience, Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
| | - Jennifer A. Ruskey
- Montreal Neurological Institute, McGill University, Montreal, QC, Canada
- Department of Neurology and Neurosurgery, McGill University, Montreal, QC, Canada
| | - Kristina Martens
- Department of Clinical Neuroscience, Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
| | - Mekale Kibreab
- Department of Clinical Neuroscience, Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
| | - Zainul Javer
- Department of Clinical Neuroscience, Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
| | - Iris Kathol
- Department of Clinical Neuroscience, Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
| | - Tracy Hammer
- Department of Clinical Neuroscience, Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
| | - Jenelle Cheetham
- Department of Clinical Neuroscience, Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
| | - Etienne Leveille
- Montreal Neurological Institute, McGill University, Montreal, QC, Canada
| | - Davide Martino
- Department of Clinical Neuroscience, Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
| | - Justyna R. Sarna
- Department of Clinical Neuroscience, Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
| | - Ziv Gan-Or
- Montreal Neurological Institute, McGill University, Montreal, QC, Canada
- Department of Neurology and Neurosurgery, McGill University, Montreal, QC, Canada
- Department of Human Genetics, McGill University, Montreal, QC, Canada
| | - Gerald Pfeffer
- Department of Clinical Neuroscience, Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
| | - Zahinoor Ismail
- Department of Clinical Neuroscience, Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
| | - Oury Monchi
- Department of Clinical Neuroscience, Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
- Department of Neurology and Neurosurgery, McGill University, Montreal, QC, Canada
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Ismail Z, McGirr A, Gill S, Hu S, Forkert ND, Smith EE. Mild Behavioral Impairment and Subjective Cognitive Decline Predict Cognitive and Functional Decline. J Alzheimers Dis 2021; 80:459-469. [PMID: 33554909 PMCID: PMC8075401 DOI: 10.3233/jad-201184] [Citation(s) in RCA: 62] [Impact Index Per Article: 20.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/28/2020] [Indexed: 02/07/2023]
Abstract
BACKGROUND Mild behavioral impairment (MBI) and subjective cognitive decline (SCD) are dementia risk states, and potentially represent neurobehavioral and neurocognitive manifestations, respectively, of early stage neurodegeneration. Both MBI and SCD predict incident cognitive decline and dementia, are associated with known dementia biomarkers, and are both represented in the NIA-AA research framework for AD in Stage 2 (preclinical disease). OBJECTIVE To assess the associations of MBI and SCD, alone and in combination, with incident cognitive and functional decline in a population of older adults. We tested the hypothesis that MBI and SCD confer additive risk for decline. METHODS Cognitively normal participants were followed up annually at Alzheimer's Disease Centers. Logistic regression assessed the relationship between baseline classification (MBI-SCD-, MBI-SCD+, MBI+SCD-, or MBI+SCD+) and 3-year outcome. RESULTS Of 2,769 participants (mean age=76), 1,536 were MBI-SCD-, 254 MBI-SCD+, 743 MBI+SCD-, and 236 MBI+SCD+. At 3 years, 349 (12.6%) declined to CDR >0, including 23.1% of the MBI+group, 23.5% of the SCD+group, and 30.9% of the intersection group of both MBI+and SCD+participants. Compared to SCD-MBI-, we observed an ordinal progression in risk (ORs [95% CI]): 3.61 [2.42-5.38] for MBI-SCD+ (16.5% progression), 4.76 [3.57-6.34] for MBI+SCD- (20.7%), and 8.15 [5.71-11.64] for MBI+SCD+(30.9%). CONCLUSION MBI and SCD together were associated with the greatest risk of decline. These complementary dementia risk syndromes can be used as simple and scalable methods to identify high-risk patients for workup or for clinical trial enrichment.
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Affiliation(s)
- Zahinoor Ismail
- Department of Psychiatry, University of Calgary, Calgary, Canada
- Department of Clinical Neurosciences, University of Calgary, Calgary, Canada
- Department of Community Health Sciences, University of Calgary, Calgary, Canada
- Hotchkiss Brain Institute, Cumming School of Medicine, Calgary, Canada
- O’Brien Institute for Public Health, Cumming School of Medicine, Calgary, Canada
| | - Alexander McGirr
- Department of Psychiatry, University of Calgary, Calgary, Canada
- Hotchkiss Brain Institute, Cumming School of Medicine, Calgary, Canada
| | - Sascha Gill
- Hotchkiss Brain Institute, Cumming School of Medicine, Calgary, Canada
| | - Sophie Hu
- Hotchkiss Brain Institute, Cumming School of Medicine, Calgary, Canada
| | - Nils D. Forkert
- Department of Clinical Neurosciences, University of Calgary, Calgary, Canada
- Hotchkiss Brain Institute, Cumming School of Medicine, Calgary, Canada
- Department of Radiology, University of Calgary, Calgary, Canada
| | - Eric E. Smith
- Department of Clinical Neurosciences, University of Calgary, Calgary, Canada
- Department of Community Health Sciences, University of Calgary, Calgary, Canada
- Hotchkiss Brain Institute, Cumming School of Medicine, Calgary, Canada
- Department of Radiology, University of Calgary, Calgary, Canada
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Miao R, Chen HY, Robert P, Smith EE, Ismail Z. White matter hyperintensities and mild behavioral impairment: Findings from the MEMENTO cohort study. CEREBRAL CIRCULATION - COGNITION AND BEHAVIOR 2021; 2:100028. [PMID: 36324720 PMCID: PMC9616384 DOI: 10.1016/j.cccb.2021.100028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/20/2021] [Revised: 08/24/2021] [Accepted: 09/11/2021] [Indexed: 11/16/2022]
Abstract
In this MCI sample, mild behavioral impairment is associated with greater WMH volume. MBI may be more sensitive to WMH than MMSE-measured global cognition. Global assessment of MBI outperforms individual MBI domains at detecting WMH.
Background White matter hyperintensities (WMH) contribute to cognitive decline and increase risk for dementia. Mild behavioral impairment (MBI) is a neurobehavioral syndrome characterized by the emergence and persistence of neuropsychiatric symptoms (NPS) in later life as an at-risk state for incident cognitive decline and dementia. Both WMH and MBI are common in patients with mild cognitive impairment (MCI), but few studies have established the link between these two risk markers in this population. Methods Participants were memory clinic patients with MCI from the French MEMENTO study. WMH volume was quantified using brain magnetic resonance imaging. Participants were categorized into MBI+ and MBI- status based on NPS persistence, and the association between MBI status and domains with WMH volume was assessed with linear regression. Results A total of 768 participants [mean age 72.8 (SD=8.00); 57% female] were included. MBI (i.e., persistent NPS) was present in 229 participants (29.8%). MBI+ status was significantly associated with lower MMSE score and male sex. Compared to MBI-, MBI+ status was associated with 9.4% higher WMH volume [p = 0.01 (95% CI 2.0% to 16.7%)]. In this model, MMSE score was not associated with WMH volume. None of the MBI domains individually predicted greater WMH volume, although emotional dysregulation, impulse dyscontrol, and apathy trended towards significance. Conclusions In a memory clinic sample of older adults with MCI, MBI was associated with higher WMH volume. Global MBI status outperformed MMSE and individual MBI domains, supporting the utility of MBI, a multi-NPS-domain composite assessment, for predicting WMH volume.
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Affiliation(s)
- Ruxin Miao
- Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
| | - Hung-Yu Chen
- Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
- Department of Clinical Neurosciences, University of Calgary, Calgary, Alberta, Canada
| | - Philippe Robert
- Clinique Gériatrique du Cerveau et du Mouvement, CMRR, CHU, COBTEK lab Université Côte d’Azur, Nice France
| | - Eric E. Smith
- Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
- Department of Clinical Neurosciences, University of Calgary, Calgary, Alberta, Canada
| | - Zahinoor Ismail
- Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
- Department of Clinical Neurosciences, University of Calgary, Calgary, Alberta, Canada
- Department of Psychiatry, University of Calgary, Calgary, Alberta, Canada
- Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
- Corresponding author at: 3280 Hospital Drive NW, TRW Building 1st Floor Calgary, AB, T2N 4Z6, Canada.
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Pan Y, Shea YF, Li S, Chen R, Mak HKF, Chiu PKC, Chu LW, Song YQ. Prevalence of mild behavioural impairment: a systematic review and meta-analysis. Psychogeriatrics 2021; 21:100-111. [PMID: 33260271 DOI: 10.1111/psyg.12636] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/02/2020] [Revised: 10/23/2020] [Accepted: 11/04/2020] [Indexed: 01/29/2023]
Abstract
AIM Mild behavioural impairment (MBI) is a neurobehavioural syndrome characterized by emergent neuropsychiatric symptoms in later life. There has been no systematic review or meta-analysis on the prevalence of MBI. The main aim of the study is to calculate the pooled prevalence of MBI. METHODS A search of the literature on MBI in mild cognitive impairment (MCI), cognitively normal (CN), and subjective cognitive impairment (SCI) and CN but at risk (CN-AR) subjects published between 1 January 2003 and 28 September 2020 was conducted. Meta-analysis using a random effects model was performed to determine the pooled estimate of the prevalence of MBI. Meta-regression was performed to identify factors contributing to the variance of prevalence rate. A systematic review was also performed to study the impact of MBI in cognitive outcomes and its correlation to the pathology and genetics of Alzheimer's disease. RESULTS Eleven studies conducted among 15 689 subjects underwent meta-analysis, revealing the pooled prevalence of MBI to be 33.5% (95% confidence interval (CI): 22.6%-46.6%). Seven studies conducted among 1358 MCI subjects underwent meta-analysis, revealing the pooled prevalence to be 45.5% (95%CI: 36.1%-55.3%). Four studies conducted among 13 153 CN subjects underwent meta-analysis, revealing the pooled prevalence to be 17.0% (95%CI: 7.2%-34.9%). Five studies conducted among 1158 SCI or CN-AR subjects underwent meta-analysis, revealing the pooled prevalence to be 35.8% (95%CI: 21.4%-53.2%). A systematic review of 13 studies showed that MBI has a significant impact on cognitive deterioration and is associated with the pathology and genetics of Alzheimer's disease. CONCLUSIONS In MCI, CN, and SCI and CN-AR subjects, MBI is common. Our finding is potentially useful in planning future clinical trials.
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Affiliation(s)
- Yining Pan
- School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong
| | - Yat-Fung Shea
- Department of Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Queen Mary Hospital, Hong Kong
| | - Siwen Li
- School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong
| | - Ruijun Chen
- School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong
| | - Henry Ka-Fung Mak
- Department of Diagnostic Radiology, The University of Hong Kong, Hong Kong
| | - Patrick Ka-Chun Chiu
- Department of Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Queen Mary Hospital, Hong Kong
| | - Leung-Wing Chu
- Department of Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Queen Mary Hospital, Hong Kong
| | - You-Qiang Song
- School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong
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Fan S, Liang X, Yun T, Pei Z, Hu B, Ismail Z, Yang Z, Xu F. Mild behavioral impairment is related to frailty in non-dementia older adults: a cross-sectional study. BMC Geriatr 2020; 20:510. [PMID: 33246409 PMCID: PMC7694410 DOI: 10.1186/s12877-020-01903-2] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2020] [Accepted: 11/12/2020] [Indexed: 01/03/2023] Open
Abstract
BACKGROUND Frailty and cognitive decline are highly prevalent among older adults. However, the relationship between frailty and mild behavioral impairment (MBI), a dementia risk syndrome characterized by later-life emergence of persistent neuropsychiatric symptoms, has yet to be elucidated. We aimed to evaluate the associations between MBI and frailty in older adults without dementia. METHODS In this cross-sectional study, a consecutive series of 137 older adults without dementia in the Anti-Aging Study, recruited from primary care clinics, were enrolled. Frailty was estimated using the Fried phenotype. MBI was evaluated by the Mild Behavioral Impairment Checklist (MBI-C) at a cut-off point of > 8. Cognition was assessed with the Chinese versions of the Montreal Cognitive Assessment (MoCA-BC) and Mini-mental State Examination (MMSE). Multivariable logistic regression was performed to estimate the relationship between MBI and objective cognition with frailty status. RESULTS At baseline, 30.7% of the older adults had frailty and 18.2% had MBI (MBI+ status). Multivariable logistic regression analysis demonstrated that compared to those without MBI (MBI- status), MBI+ was more likely to have frailty (odds ratio [OR] = 7.44, 95% CI = 1.49-37.21, p = 0.02). Frailty and MBI were both significantly associated with both MMSE and MoCA-BC score (p < 0.05). CONCLUSIONS Both frailty and MBI status were associated with higher odds of cognitive impairment. MBI was significantly associated with an increased risk of having frailty in the absence of dementia. This association merits further study to identify potential strategies for the early detection, prevention and therapeutic intervention of frailty.
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Affiliation(s)
- Shaoyi Fan
- The Second Clinical College of Guangzhou University of Chinese Medicine, 232 East Ring Road, Guangzhou, P. R. China
| | - Ximin Liang
- The Second Clinical College of Guangzhou University of Chinese Medicine, 232 East Ring Road, Guangzhou, P. R. China
| | - Tianchan Yun
- The Second Clinical College of Guangzhou University of Chinese Medicine, 232 East Ring Road, Guangzhou, P. R. China
| | - Zhong Pei
- Department of Neurology, First Affiliated Hospital of Sun Yat-sen University, 58 Zhongshan Second Road, Guangzhou, P. R. China
| | - Bin Hu
- Division of Translational Neuroscience, Department of Clinical Neurosciences, Hotchkiss Brain Institute, Alberta Children's Hospital Research Institute, Cumming School of Medicine, University of Calgary, 3330 Hospital Drive NW, Calgary, AB, T2N 4N1, Canada
| | - Zahinoor Ismail
- Departments of Psychiatry, Clinical Neurosciences, and Community Health Sciences, Hotchkiss Brain Institute and O'Brien Institute for Public Health, University of Calgary, Calgary, Canada
| | - Zhimin Yang
- The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangdong Provincial Hospital of Chinese Medicine, 111 Dade Road, Guangzhou, People's Republic of China.
| | - Fuping Xu
- The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangdong Provincial Hospital of Chinese Medicine, 111 Dade Road, Guangzhou, People's Republic of China.
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Lussier FZ, Pascoal TA, Chamoun M, Therriault J, Tissot C, Savard M, Kang MS, Mathotaarachchi S, Benedet AL, Parsons M, Qureshi MNI, Thomas ÉM, Shin M, Dion LA, Massarweh G, Soucy JP, Tsai IH, Vitali P, Ismail Z, Rosa-Neto P, Gauthier S. Mild behavioral impairment is associated with β-amyloid but not tau or neurodegeneration in cognitively intact elderly individuals. Alzheimers Dement 2020; 16:192-199. [PMID: 31914223 PMCID: PMC7041633 DOI: 10.1002/alz.12007] [Citation(s) in RCA: 90] [Impact Index Per Article: 22.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2019] [Accepted: 11/18/2019] [Indexed: 01/01/2023]
Abstract
INTRODUCTION Mild behavioral impairment (MBI) is characterized by the emergence of neuropsychiatric symptoms in elderly persons. Here, we examine the associations between MBI and Alzheimer's disease (AD) biomarkers in asymptomatic elderly individuals. METHODS Ninety-six cognitively normal elderly individuals underwent MRI, [18 F]AZD4694 β-amyloid-PET, and [18 F]MK6240 tau-PET. MBI was assessed using the MBI Checklist (MBI-C). Pearson's correlations and voxel-based regressions were used to evaluate the relationship between MBI-C score and [18 F]AZD4694 retention, [18 F]MK6240 retention, and gray matter (GM) volume. RESULTS Pearson correlations revealed a positive relationship between MBI-C score and global and striatal [18 F]AZD4694 standardized uptake value ratios (SUVRs). Voxel-based regression analyses revealed a positive correlation between MBI-C score and [18 F]AZD4694 retention. No significant correlations were found between MBI-C score and [18 F]MK6240 retention or GM volume. CONCLUSION We demonstrate for the first time a link between MBI and early AD pathology in a cognitively intact elderly population, supporting the use of the MBI-C as a metric to enhance clinical trial enrolment.
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Affiliation(s)
- Firoza Z Lussier
- Translational Neuroimaging Laboratory, The McGill University Research Centre for Studies in Aging, Douglas Hospital, McGill University, Montreal, Quebec, Canada.,Department of Neurology and Neurosurgery, McGill University, Montreal, Quebec, Canada
| | - Tharick A Pascoal
- Translational Neuroimaging Laboratory, The McGill University Research Centre for Studies in Aging, Douglas Hospital, McGill University, Montreal, Quebec, Canada.,Department of Neurology and Neurosurgery, McGill University, Montreal, Quebec, Canada
| | - Mira Chamoun
- Translational Neuroimaging Laboratory, The McGill University Research Centre for Studies in Aging, Douglas Hospital, McGill University, Montreal, Quebec, Canada.,Department of Neurology and Neurosurgery, McGill University, Montreal, Quebec, Canada
| | - Joseph Therriault
- Translational Neuroimaging Laboratory, The McGill University Research Centre for Studies in Aging, Douglas Hospital, McGill University, Montreal, Quebec, Canada.,Department of Neurology and Neurosurgery, McGill University, Montreal, Quebec, Canada
| | - Cécile Tissot
- Translational Neuroimaging Laboratory, The McGill University Research Centre for Studies in Aging, Douglas Hospital, McGill University, Montreal, Quebec, Canada.,Department of Neurology and Neurosurgery, McGill University, Montreal, Quebec, Canada
| | - Mélissa Savard
- Translational Neuroimaging Laboratory, The McGill University Research Centre for Studies in Aging, Douglas Hospital, McGill University, Montreal, Quebec, Canada
| | - Min Su Kang
- Translational Neuroimaging Laboratory, The McGill University Research Centre for Studies in Aging, Douglas Hospital, McGill University, Montreal, Quebec, Canada.,Department of Neurology and Neurosurgery, McGill University, Montreal, Quebec, Canada.,Montreal Neurological Institute, Montreal, Quebec, Canada
| | - Sulantha Mathotaarachchi
- Translational Neuroimaging Laboratory, The McGill University Research Centre for Studies in Aging, Douglas Hospital, McGill University, Montreal, Quebec, Canada
| | - Andrea L Benedet
- Translational Neuroimaging Laboratory, The McGill University Research Centre for Studies in Aging, Douglas Hospital, McGill University, Montreal, Quebec, Canada.,Department of Neurology and Neurosurgery, McGill University, Montreal, Quebec, Canada
| | - Marlee Parsons
- Translational Neuroimaging Laboratory, The McGill University Research Centre for Studies in Aging, Douglas Hospital, McGill University, Montreal, Quebec, Canada.,Department of Neurology and Neurosurgery, McGill University, Montreal, Quebec, Canada
| | - Muhammad Naveed Iqbal Qureshi
- Translational Neuroimaging Laboratory, The McGill University Research Centre for Studies in Aging, Douglas Hospital, McGill University, Montreal, Quebec, Canada.,Department of Neurology and Neurosurgery, McGill University, Montreal, Quebec, Canada
| | - Émilie M Thomas
- Translational Neuroimaging Laboratory, The McGill University Research Centre for Studies in Aging, Douglas Hospital, McGill University, Montreal, Quebec, Canada.,Department of Neurology and Neurosurgery, McGill University, Montreal, Quebec, Canada
| | - Monica Shin
- Translational Neuroimaging Laboratory, The McGill University Research Centre for Studies in Aging, Douglas Hospital, McGill University, Montreal, Quebec, Canada.,Department of Neurology and Neurosurgery, McGill University, Montreal, Quebec, Canada
| | - Laurie-Anne Dion
- Translational Neuroimaging Laboratory, The McGill University Research Centre for Studies in Aging, Douglas Hospital, McGill University, Montreal, Quebec, Canada
| | - Gassan Massarweh
- Montreal Neurological Institute, Montreal, Quebec, Canada.,Department of Radiochemistry, McGill University, Montreal, Quebec, Canada
| | - Jean-Paul Soucy
- Montreal Neurological Institute, Montreal, Quebec, Canada.,Department of Radiochemistry, McGill University, Montreal, Quebec, Canada
| | - I-Huang Tsai
- Montreal Neurological Institute, Montreal, Quebec, Canada
| | - Paolo Vitali
- Alzheimer's Disease Research Unit, The McGill University Research Centre for Studies in Aging, Verdun, Quebec, Canada
| | - Zahinoor Ismail
- Departments of Psychiatry, Clinical Neurosciences, and Community Health Sciences, University of Calgary, Calgary, Alberta, Canada.,Hotchkiss Brain Institute and O'Brien Institute for Public Health, University of Calgary, Calgary, Alberta, Canada
| | - Pedro Rosa-Neto
- Translational Neuroimaging Laboratory, The McGill University Research Centre for Studies in Aging, Douglas Hospital, McGill University, Montreal, Quebec, Canada.,Department of Neurology and Neurosurgery, McGill University, Montreal, Quebec, Canada.,Montreal Neurological Institute, Montreal, Quebec, Canada
| | - Serge Gauthier
- Alzheimer's Disease Research Unit, The McGill University Research Centre for Studies in Aging, Verdun, Quebec, Canada
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Montero‐Odasso M, Pieruccini‐Faria F, Ismail Z, Li K, Lim A, Phillips N, Kamkar N, Sarquis‐Adamson Y, Speechley M, Theou O, Verghese J, Wallace L, Camicioli R. CCCDTD5 recommendations on early non cognitive markers of dementia: A Canadian consensus. ALZHEIMERS & DEMENTIA-TRANSLATIONAL RESEARCH & CLINICAL INTERVENTIONS 2020; 6:e12068. [PMID: 33094146 PMCID: PMC7568425 DOI: 10.1002/trc2.12068] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 06/18/2020] [Accepted: 07/09/2020] [Indexed: 12/21/2022]
Abstract
Introduction Cognitive impairment is the hallmark of Alzheimer's disease (AD) and related dementias. However, motor decline has been recently described as a prodromal state that can help to detect at‐risk individuals. Similarly, sensory changes, sleep and behavior disturbances, and frailty have been associated with higher risk of developing dementia. These clinical findings, together with the recognition that AD pathology precedes the diagnosis by many years, raises the possibility that non‐cognitive changes may be early and non‐invasive markers for AD or, even more provocatively, that treating non‐cognitive aspects may help to prevent or treat AD and related dementias. Methods A subcommittee of the Canadian Consensus Conference on Diagnosis and Treatment of Dementia reviewed areas of emerging evidence for non‐cognitive markers of dementia. We examined the literature for five non‐cognitive domains associated with future dementia: motor, sensory (hearing, vision, olfaction), neuro‐behavioral, frailty, and sleep. The Grading of Recommendations Assessment, Development, and Evaluation system was used to assign the strength of the evidence and quality of the recommendations. We provide recommendations to primary care clinics and to specialized memory clinics, answering the following main questions: (1) What are the non‐cognitive and functional changes associated with risk of developing dementia? and (2) What is the evidence that sensory, motor, behavioral, sleep, and frailty markers can serve as potential predictors of dementia? Results Evidence supported that gait speed, dual‐task gait speed, grip strength, frailty, neuropsychiatric symptoms, sleep measures, and hearing loss are predictors of dementia. There was insufficient evidence for recommending assessing olfactory and vision impairments as a predictor of dementia. Conclusions Non‐cognitive markers can assist in identifying people at risk for cognitive decline or dementia. These non‐cognitive markers may represent prodromal symptoms and several of them are potentially amenable to treatment that might delay the onset of cognitive decline.
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Affiliation(s)
- Manuel Montero‐Odasso
- Gait and Brain LaboratoryParkwood InstituteLawson Health Research InstituteLondonOntarioCanada
- Division of Geriatric MedicineDepartment of MedicineSchulich School of Medicine and DentistryLondonOntarioCanada
- Department of Epidemiology and BiostatisticsUniversity of Western OntarioLondonOntarioCanada
| | - Frederico Pieruccini‐Faria
- Gait and Brain LaboratoryParkwood InstituteLawson Health Research InstituteLondonOntarioCanada
- Division of Geriatric MedicineDepartment of MedicineSchulich School of Medicine and DentistryLondonOntarioCanada
| | - Zahinoor Ismail
- Departments of PsychiatryClinical Neurosciencesand Community Health SciencesHotchkiss Brain Institute and O'Brien Institute for Public HealthUniversity of CalgaryCalgaryAlbertaCanada
| | - Karen Li
- Centre for Research in Human DevelopmentConcordia UniversityMontrealQuebecCanada
- Department of PsychologyConcordia UniversityQuebecCanada
| | - Andrew Lim
- Division of NeurologyDepartment of MedicineSunnybrook Health Sciences CentreTorontoOntarioCanada
| | - Natalie Phillips
- Centre for Research in Human DevelopmentConcordia UniversityMontrealQuebecCanada
- Department of PsychologyConcordia UniversityQuebecCanada
| | - Nellie Kamkar
- Gait and Brain LaboratoryParkwood InstituteLawson Health Research InstituteLondonOntarioCanada
| | - Yanina Sarquis‐Adamson
- Gait and Brain LaboratoryParkwood InstituteLawson Health Research InstituteLondonOntarioCanada
| | - Mark Speechley
- Department of Epidemiology and BiostatisticsUniversity of Western OntarioLondonOntarioCanada
| | - Olga Theou
- School of PhysiotherapyDalhousie UniversityHalifaxNova ScotiaCanada
- Department of MedicineDalhousie UniversityHalifaxNova ScotiaCanada
| | - Joe Verghese
- Department of NeurologyAlbert Einstein College of MedicineBronxNew YorkUSA
| | - Lindsay Wallace
- Department of MedicineDalhousie UniversityHalifaxNova ScotiaCanada
| | - Richard Camicioli
- Division of NeurologyDepartment of MedicineUniversity of AlbertaEdmontonAlbertaCanada
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Matsuoka T, Ismail Z, Narumoto J. Prevalence of Mild Behavioral Impairment and Risk of Dementia in a Psychiatric Outpatient Clinic. J Alzheimers Dis 2020; 70:505-513. [PMID: 31177229 PMCID: PMC6700628 DOI: 10.3233/jad-190278] [Citation(s) in RCA: 63] [Impact Index Per Article: 15.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
Background: Mild behavioral impairment (MBI) has been proposed as risk factor for dementia, and for some, an early manifestation of dementia. Objective: We examined the prevalence of MBI in the psychiatric outpatient clinic, and compared the incidence of dementia in MBI with that in other psychiatric diseases. Methods: Retrospective chart review was conducted in 2,853 consecutive outpatients over the age of 50. MBI was diagnosed according to the International Society to Advance Alzheimer’s Research and Treatment research diagnostic criteria. The incidence rate of dementia was examined in the patients who were followed up for at least 1 month. Kaplan-Meier survival analyses and Cox proportional hazards regression models were performed to compare the time to onset of dementia between MBI and other psychiatric diseases. Results: The prevalence of MBI was 3.5% and the incidence of dementia was 30.7 cases per 1000 person-years. The hazard ratio (HR) for dementia was higher for MBI than other psychiatric diseases (HR: 8.07, 95% confidence interval: 4.34–15.03, p < 0.001). In MCI patients, the cumulative survival in MCI with affective dysregulation tended to be lower than that in MCI without (p = 0.090). Conclusions: Psychiatric outpatients often meet MBI criteria. MBI, especially the affective dysregulation domain, increases the risk of dementia in this psychiatric outpatient population. Since late-onset psychiatric and behavioral symptoms may be prodromal symptoms of dementia in some, careful observation is needed, and psychiatric clinicians should keep prodromal dementia on their differential diagnosis when assessing those with new onset psychiatric symptomatology in older adults.
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Affiliation(s)
- Teruyuki Matsuoka
- Department of Psychiatry, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Zahinoor Ismail
- Departments of Psychiatry, Clinical Neurosciences, and Community Health Sciences, Hotchkiss Brain Institute and O'Brien Institute for Public Health, University of Calgary, Calgary, Canada
| | - Jin Narumoto
- Department of Psychiatry, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan
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Abstract
In this issue, an article by Tiepolt et al. shows that PET scanning using [11C]PiB can demonstrate both cerebral blood flow (CBF) changes and amyloid-β (Aβ) deposition in patients with mild cognitive dysfunction or mild dementia of Alzheimer’s disease (AD). The CBF changes can be determined because the early scan counts (1–9 minutes) reflect the flow of the radiotracer in the blood passing through the brain, while the Aβ levels are measured by later scan counts (40–70 minutes) after the radiotracer has been cleared from regions to which the radiotracer did not bind. Thus, two different diagnostic measures are obtained with a single injection. Unexpectedly, the mild patients with Aβ positivity had scan data with only a weak relationship to memory, while the relationships to executive function and language function were relatively strong. This divergence of findings from studies of severely impaired patients highlights the importance of determining how AD pathology affects the brain. A possibility suggested in this commentary is that Aβ deposits occur early in AD and specifically in critical areas of the neocortex affected only later by the neurofibrillary pathology indicating a different role of the amyloid-β protein precursor (AβPP) in the development of those neocortical regions, and a separate component of AD pathology may selectively impact functions of these neocortical regions. The effects of adverse AβPP metabolism in the medial temporal and brainstem regions occur later possibly because of different developmental issues, and the later, different pathology is clearly more cognitively and socially devastating.
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Affiliation(s)
- J Wesson Ashford
- War Related Illness and Injury Study Center, VA Palo Alto Health Care System and Department of Psychiatry & Behavioral Sciences, Stanford University, Palo Alto, USA
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42
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The Mild Behavioral Impairment Checklist: a promising tool for assessing mild behavioral impairment in community samples. Int Psychogeriatr 2020; 32:673-675. [PMID: 32616117 DOI: 10.1017/s1041610219001479] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
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Sano M, Zhu CW. Response to Schneider and Goldberg "Composite cognitive and functional measures for early stage Alzheimer's disease trials". ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2020; 12:e12015. [PMID: 32432154 PMCID: PMC7233418 DOI: 10.1002/dad2.12015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/20/2019] [Accepted: 02/03/2020] [Indexed: 11/22/2022]
Affiliation(s)
- Mary Sano
- Alzheimer Disease Research Center, Department of PsychiatryIcahn School of Medicine at Mount SinaiNew YorkNew YorkUSA
- James J Peters VAMCBronxNew YorkUSA
| | - Carolyn W. Zhu
- Alzheimer Disease Research Center, Department of PsychiatryIcahn School of Medicine at Mount SinaiNew YorkNew YorkUSA
- James J Peters VAMCBronxNew YorkUSA
- Department of Geriatrics and Palliative MedicineIcahn School of Medicine at Mount SinaiNew YorkNew YorkUSA
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Naude JP, Gill S, Hu S, McGirr A, Forkert ND, Monchi O, Stys PK, Smith EE, Ismail Z. Plasma Neurofilament Light: A Marker of Neurodegeneration in Mild Behavioral Impairment. J Alzheimers Dis 2020; 76:1017-1027. [PMID: 32597801 PMCID: PMC7504997 DOI: 10.3233/jad-200011] [Citation(s) in RCA: 58] [Impact Index Per Article: 14.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/09/2020] [Indexed: 02/07/2023]
Abstract
BACKGROUND Assessing neuropsychiatric symptoms (NPS) in older adults is important for determining dementia risk. Mild behavioral impairment (MBI) is an at-risk state for cognitive decline and dementia, characterized by emergent NPS in later life. MBI has significantly higher dementia incidence than late life psychiatric conditions. However, its utility as a proxy for neurodegeneration has not been demonstrated. Plasma neurofilament light (NfL) is a validated biomarker of axonal damage, and has been shown to associate with hallmarks of neurodegeneration. OBJECTIVE The purpose of this investigation was to identify associations between NfL rate of change and the presence of MBI symptomatology. METHODS We evaluated the association of MBI with changes in NfL in a cohort (n = 584; MBI + n = 190, MBI- n = 394) of non-demented participants from the Alzheimer's Disease Neuroimaging Initiative. MBI was determined by transforming Neuropsychiatric Inventory Questionnaire items using a published algorithm. Change in NfL was calculated over 2 years. RESULTS Time*MBI status was the only significant interaction to predict change in NfL concentrations (F(1,574) = 4.59, p = 0.032), even after controlling for age, mild cognitive impairment, and demographics. Analyses reclassifying 64 participants with new onset MBI over 2 years similarly demonstrated greater increases in NfL (F(1,574) = 5.82, p = 0.016). CONCLUSION These findings suggest MBI is a clinical proxy of early phase neurodegeneration with putative utility in identifying those at dementia risk. MBI can be used as a case ascertainment approach to capture those at high risk for cognitive decline and dementia, and is an important construct for clinicians dealing with cognitive and neuropsychiatric symptomatology in older adults.
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Affiliation(s)
- James P. Naude
- Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
| | - Sascha Gill
- Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
- Department of Clinical Neurosciences, University of Calgary, Calgary, Alberta, Canada
| | - Sophie Hu
- Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
- Department of Community Health Science, University of Calgary, Calgary, Alberta, Canada
| | - Alexander McGirr
- Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
- Department of Psychiatry, University of Calgary, Calgary, Alberta, Canada
- Mathison Centre for Mental Health Research and Education, University of Calgary, Calgary, Alberta, Canada
| | - Nils D. Forkert
- Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
- Department of Clinical Neurosciences, University of Calgary, Calgary, Alberta, Canada
- Department of Radiology, University of Calgary, Calgary, Alberta, Canada
- Alberta Children’s Hospital Research Institute, University of Calgary, Calgary, Alberta, Canada
| | - Oury Monchi
- Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
- Department of Clinical Neurosciences, University of Calgary, Calgary, Alberta, Canada
- Department of Radiology, University of Calgary, Calgary, Alberta, Canada
| | - Peter K. Stys
- Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
- Department of Clinical Neurosciences, University of Calgary, Calgary, Alberta, Canada
| | - Eric E. Smith
- Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
- Department of Clinical Neurosciences, University of Calgary, Calgary, Alberta, Canada
| | - Zahinoor Ismail
- Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
- Department of Clinical Neurosciences, University of Calgary, Calgary, Alberta, Canada
- Department of Community Health Science, University of Calgary, Calgary, Alberta, Canada
- Department of Psychiatry, University of Calgary, Calgary, Alberta, Canada
- Mathison Centre for Mental Health Research and Education, University of Calgary, Calgary, Alberta, Canada
- O’Brien Institute for Public Health, University of Calgary
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Ng KP, Chiew HJ, Rosa-Neto P, Kandiah N, Ismail Z, Gauthier S. Brain Metabolic Dysfunction in Early Neuropsychiatric Symptoms of Dementia. Front Pharmacol 2019; 10:1398. [PMID: 31824321 PMCID: PMC6882863 DOI: 10.3389/fphar.2019.01398] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2019] [Accepted: 11/01/2019] [Indexed: 12/11/2022] Open
Abstract
Neuropsychiatric symptoms (NPS) including behavioral and psychiatric symptoms are common in the dementia stages of Alzheimer's disease (AD) and are associated with poorer outcomes in cognition, functional states, quality of life, and accelerated progression to severe dementia or death. NPS are also increasingly observed in the mild cognitive impairment stage of AD and may predict incipient dementia. As such, there is an emerging conceptual framework, which support NPS as early non-cognitive symptoms of dementia. [18F]fluorodeoxyglucosepositron emission tomography is a technique that is sensitive in detecting resting metabolism associated with NPS in neuropsychiatric conditions, and there is a growing body of literature evaluating the role of NPS as early indicators of brain metabolic dysfunctions in AD. In this mini-review, we examine the frequency and associations of NPS with metabolic dysfunction in the AD continuum, including preclinical, prodromal, and dementia stages of AD. We will also present the validated neurobehavioral syndrome, mild behavioral impairment describes the later life emergence of sustained NPS as an at-risk state for incident cognitive decline and dementia, and an early presentation of neurodegenerative diseases in some. Lastly, we will discuss future directions in the field so as to better understand the neurobiological basis of NPS in the early stages of the AD continuum, and their role in predicting AD pathophysiological progression and incident dementia.
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Affiliation(s)
- Kok Pin Ng
- Department of Neurology, National Neuroscience Institute, Singapore, Singapore
| | - Hui Jin Chiew
- Department of Neurology, National Neuroscience Institute, Singapore, Singapore
| | - Pedro Rosa-Neto
- The McGill University Research Centre for Studies in Aging, Montreal, QC, Canada
| | - Nagaendran Kandiah
- Department of Neurology, National Neuroscience Institute, Singapore, Singapore
- Duke-NUS Medical School, Singapore, Singapore
| | - Zahinoor Ismail
- Departments of Psychiatry, Clinical Neurosciences, and Community Health Sciences, Hotchkiss Brain Institute and O'Brien Institute for Public Health, University of Calgary, Calgary, AB, Canada
| | - Serge Gauthier
- The McGill University Research Centre for Studies in Aging, Montreal, QC, Canada
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