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Murai T, Bailey L, Schultz L, Mongeau L, DeSana A, Silva AC, Roberts AC, Sukoff Rizzo SJ. Improving preclinical to clinical translation of cognitive function for aging-related disorders: the utility of comprehensive touchscreen testing batteries in common marmosets. COGNITIVE, AFFECTIVE & BEHAVIORAL NEUROSCIENCE 2024; 24:325-348. [PMID: 38200282 PMCID: PMC11039501 DOI: 10.3758/s13415-023-01144-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 12/04/2023] [Indexed: 01/12/2024]
Abstract
Concerns about poor animal to human translation have come increasingly to the fore, in particular with regards to cognitive improvements in rodent models, which have failed to translate to meaningful clinical benefit in humans. This problem has been widely acknowledged, most recently in the field of Alzheimer's disease, although this issue pervades the spectrum of central nervous system (CNS) disorders, including neurodevelopmental, neuropsychiatric, and neurodegenerative diseases. Consequently, recent efforts have focused on improving preclinical to clinical translation by incorporating more clinically analogous outcome measures of cognition, such as touchscreen-based assays, which can be employed across species, and have great potential to minimize the translational gap. For aging-related research, it also is important to incorporate model systems that facilitate the study of the long prodromal phase in which cognitive decline begins to emerge and which is a major limitation of short-lived species, such as laboratory rodents. We posit that to improve translation of cognitive function and dysfunction, nonhuman primate models, which have conserved anatomical and functional organization of the primate brain, are necessary to move the field of translational research forward and to bridge the translational gaps. The present studies describe the establishment of a comprehensive battery of touchscreen-based tasks that capture a spectrum of domains sensitive to detecting aging-related cognitive decline, which will provide the greatest benefit through longitudinal evaluation throughout the prolonged lifespan of the marmoset.
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Affiliation(s)
- Takeshi Murai
- Aging Institute, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Lauren Bailey
- Aging Institute, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Laura Schultz
- Aging Institute, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Lauren Mongeau
- Aging Institute, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Andrew DeSana
- Aging Institute, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Afonso C Silva
- Department of Neurobiology, University of Pittsburgh School of Medicine, 514A Bridgeside Point 1, 100 Technology Drive, Pittsburgh, PA, 15219, USA
| | - Angela C Roberts
- Department of Physiology, Development and Neuroscience, University of Cambridge, Cambridge, UK
| | - Stacey J Sukoff Rizzo
- Aging Institute, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
- Department of Neurobiology, University of Pittsburgh School of Medicine, 514A Bridgeside Point 1, 100 Technology Drive, Pittsburgh, PA, 15219, USA.
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Duggan MR, Steinberg Z, Peterson T, Francois TJ, Parikh V. Cognitive trajectories in longitudinally trained 3xTg-AD mice. Physiol Behav 2024; 275:114435. [PMID: 38103626 PMCID: PMC10872326 DOI: 10.1016/j.physbeh.2023.114435] [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: 10/23/2023] [Revised: 12/01/2023] [Accepted: 12/13/2023] [Indexed: 12/19/2023]
Abstract
Preclinical studies in Alzheimer's disease (AD) often rely on cognitively naïve animal models in cross-sectional designs that can fail to reflect the cognitive exposures across the lifespan and heterogeneous neurobehavioral features observed in humans. To determine whether longitudinal cognitive training may affect cognitive capacities in a well-characterized AD mouse model, 3xTg and wild-type mice (n = 20) were exposed daily to a training variant of the Go-No-Go (GNG) operant task from 3 to 9 months old. At 3, 6, and 9 months, performance on a testing variant of the GNG task and anxiety-like behaviors were measured, while long-term recognition memory was also assessed at 9 months. In general, GNG training improved performance with increasing age across genotypes. At 3 months old, 3xTg mice showed slight deficits in inhibitory control that were accompanied by minor improvements in signal detection and decreased anxiety-like behavior, but these differences did not persist at 6 and 9 months old. At 9 months old, 3xTg mice displayed minor deficits in signal detection, and long-term recognition memory capacity was comparable with wild-type subjects. Our findings indicate that longitudinal cognitive training can render 3xTg mice with cognitive capacities that are on par with their wild-type counterparts, potentially reflecting functional compensation in subjects harboring AD genetic mutations.
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Affiliation(s)
- Michael R Duggan
- Department of Psychology and Neuroscience Program, Temple University, Philadelphia, PA 19122, United States
| | - Zoe Steinberg
- Department of Psychology and Neuroscience Program, Temple University, Philadelphia, PA 19122, United States
| | - Tara Peterson
- Department of Psychology and Neuroscience Program, Temple University, Philadelphia, PA 19122, United States
| | - Tara-Jade Francois
- Department of Psychology and Neuroscience Program, Temple University, Philadelphia, PA 19122, United States
| | - Vinay Parikh
- Department of Psychology and Neuroscience Program, Temple University, Philadelphia, PA 19122, United States.
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He C, Kong X, Li J, Wang X, Chen X, Wang Y, Zhao Q, Tao Q. Predictors for quality of life in older adults: network analysis on cognitive and neuropsychiatric symptoms. BMC Geriatr 2023; 23:850. [PMID: 38093173 PMCID: PMC10720074 DOI: 10.1186/s12877-023-04462-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Accepted: 11/06/2023] [Indexed: 12/17/2023] Open
Abstract
BACKGROUND Quality of life (QoL) of older adults has become a pivotal concern of the public and health system. Previous studies found that both cognitive decline and neuropsychiatric symptoms (NPS) can affect QoL in older adults. However, it remains unclear how these symptoms are related to each other and impact on QoL. Our aim is to investigate the complex network relationship between cognitive and NPS symptoms in older adults, and to further explore their association with QoL. METHODS A cross-sectional study was conducted in a sample of 389 older individuals with complaints of memory decline. The instruments included the Neuropsychiatric Inventory, the Mini Mental State Examination, and the 36-item Short Form Health Survey. Data was analyzed using network analysis and mediation analysis. RESULTS We found that attention and agitation were the variables with the highest centrality in cognitive and NPS symptoms, respectively. In an exploratory mediation analysis, agitation was significantly associated with poor attention (β = -0.214, P < 0.001) and reduced QoL (β = -0.137, P = 0.005). The indirect effect of agitation on the QoL through attention was significant (95% confidence interval (CI) [-0.119, -0.035]). Furthermore, attention served as a mediator between agitation and QoL, accounting for 35.09% of the total effect. CONCLUSIONS By elucidating the NPS-cognition-QoL relationship, the current study provides insights for developing rehabilitation programs among older adults to ensure their QoL.
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Affiliation(s)
- Chaoqun He
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, 510632, China
- Division of Medical Psychology and Behaviour Science, School of Medicine, Jinan University, Guangzhou, 510632, China
| | - Xiangyi Kong
- China-Japan Union Hospital of Jilin University, Jilin University, Changchun, 130031, China
| | - Jinhui Li
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, 510632, China
- Division of Medical Psychology and Behaviour Science, School of Medicine, Jinan University, Guangzhou, 510632, China
| | - Xingyi Wang
- China-Japan Union Hospital of Jilin University, Jilin University, Changchun, 130031, China
| | - Xinqiao Chen
- The First Bethune Hospital of Jilin University, Jilin University, Changchun, 130021, China
| | - Yuanyi Wang
- The First Hospital of Jilin University, Jilin University, Changchun, 130021, China
| | - Qing Zhao
- China-Japan Union Hospital of Jilin University, Jilin University, Changchun, 130031, China.
| | - Qian Tao
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, 510632, China.
- Division of Medical Psychology and Behaviour Science, School of Medicine, Jinan University, Guangzhou, 510632, China.
- Neuroscience and Neurorehabilitation Institute, University of Health and Rehabilitation Science, Qingdao, 266071, China.
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Cutuli D, Decandia D, Giacovazzo G, Coccurello R. Physical Exercise as Disease-Modifying Alternative against Alzheimer's Disease: A Gut-Muscle-Brain Partnership. Int J Mol Sci 2023; 24:14686. [PMID: 37834132 PMCID: PMC10572207 DOI: 10.3390/ijms241914686] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2023] [Revised: 09/18/2023] [Accepted: 09/25/2023] [Indexed: 10/15/2023] Open
Abstract
Alzheimer's disease (AD) is a common cause of dementia characterized by neurodegenerative dysregulations, cognitive impairments, and neuropsychiatric symptoms. Physical exercise (PE) has emerged as a powerful tool for reducing chronic inflammation, improving overall health, and preventing cognitive decline. The connection between the immune system, gut microbiota (GM), and neuroinflammation highlights the role of the gut-brain axis in maintaining brain health and preventing neurodegenerative diseases. Neglected so far, PE has beneficial effects on microbial composition and diversity, thus providing the potential to alleviate neurological symptoms. There is bidirectional communication between the gut and muscle, with GM diversity modulation and short-chain fatty acid (SCFA) production affecting muscle metabolism and preservation, and muscle activity/exercise in turn inducing significant changes in GM composition, functionality, diversity, and SCFA production. This gut-muscle and muscle-gut interplay can then modulate cognition. For instance, irisin, an exercise-induced myokine, promotes neuroplasticity and cognitive function through BDNF signaling. Irisin and muscle-generated BDNF may mediate the positive effects of physical activity against some aspects of AD pathophysiology through the interaction of exercise with the gut microbial ecosystem, neural plasticity, anti-inflammatory signaling pathways, and neurogenesis. Understanding gut-muscle-brain interconnections hold promise for developing strategies to promote brain health, fight age-associated cognitive decline, and improve muscle health and longevity.
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Affiliation(s)
- Debora Cutuli
- Department of Psychology, University of Rome La Sapienza, 00185 Rome, Italy;
- European Center for Brain Research, Santa Lucia Foundation IRCCS, 00143 Rome, Italy;
| | - Davide Decandia
- Department of Psychology, University of Rome La Sapienza, 00185 Rome, Italy;
- European Center for Brain Research, Santa Lucia Foundation IRCCS, 00143 Rome, Italy;
| | - Giacomo Giacovazzo
- European Center for Brain Research, Santa Lucia Foundation IRCCS, 00143 Rome, Italy;
- Facoltà di Medicina Veterinaria, Università degli Studi di Teramo (UniTE), 64100 Teramo, Italy
| | - Roberto Coccurello
- European Center for Brain Research, Santa Lucia Foundation IRCCS, 00143 Rome, Italy;
- Institute for Complex Systems (ISC), National Council of Research (CNR), 00185 Rome, Italy
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Ghahremani M, Wang M, Chen HY, Zetterberg H, Smith E, Ismail Z. Plasma Phosphorylated Tau at Threonine 181 and Neuropsychiatric Symptoms in Preclinical and Prodromal Alzheimer Disease. Neurology 2023; 100:e683-e693. [PMID: 36323521 PMCID: PMC9969916 DOI: 10.1212/wnl.0000000000201517] [Citation(s) in RCA: 21] [Impact Index Per Article: 21.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2022] [Accepted: 09/20/2022] [Indexed: 11/07/2022] Open
Abstract
BACKGROUND AND OBJECTIVES Plasma phosphorylated tau at threonine 181 (p-tau181), a well-validated marker of Alzheimer disease (AD) pathologic change, could be a more efficient way to diagnose AD than invasive or expensive biomarkers requiring CSF or PET. In some individuals, neuropsychiatric symptoms (NPS) are the earliest manifestation of AD, observed in advance of clear cognitive decline. However, the few studies assessing AD biomarkers in association with NPS have often had imprecision in capturing behavioral symptoms that represent sequelae of neurodegenerative disease. Thus, the mild behavioral impairment (MBI) construct was developed, framing NPS in a way to improve the precision of risk estimates for disease. MBI core criteria stipulate that NPS emerge de novo in later life and persist for at least 6 months. Here, cross-sectionally and longitudinally, we investigated associations of MBI with p-tau181, neuropsychological test performance, and incident AD. METHODS Cognitively unimpaired and mild cognitive impairment (MCI) Alzheimer's Disease Neuroimaging Initiative participants were selected. MBI status was derived from the Neuropsychiatric Inventory (NPI) using a published algorithm. NPI total scores at baseline and year 1 visits were used to operationalize MBI (score >0 at both visits), NPS not meeting the MBI criteria (NPS-not-MBI, score >0 at only 1 visit), and no NPS (score = 0 at both visits). Linear regressions were fitted for cross-sectional analyses; multilevel linear mixed-effects and Cox proportional hazards models were implemented to examine the longitudinal associations of MBI with changes in p-tau181 and cognition and incident dementia. RESULTS The sample included 571 participants (age 72.2 years, 46.8% female, 64.8% MCI). Cross-sectionally (β = 8.1%, 95% CI 1.4%-15.2%, p = 0.02), MBI was associated with higher plasma p-tau181 levels compared with no NPS; NPS-not-MBI was not. Longitudinally, MBI was associated with higher p-tau181 (β = 0.014%, 95% CI 0.003-0.026, p = 0.02), in addition to a decline in memory and executive function. Survival analyses demonstrated a 3.92-fold greater dementia incidence in MBI, with no significant differences between NPS-not-MBI and no NPS. DISCUSSION These findings extend the evidence base that MBI is associated with elevated risk of cognitive decline and dementia and a sequela of emerging Alzheimer-related proteinopathies. MBI offers a substantial improvement over current approaches that explore behavior as a proxy marker for Alzheimer-related proteinopathies, with both clinical and AD trial enrichment implications.
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Affiliation(s)
| | | | | | | | | | - Zahinoor Ismail
- From the Department of Psychiatry (M.G., H.-Y.C., Z.I.), Hotchkiss Brain Institute (M.G., M.W., H.-Y.C., E.S., Z.I.), Department of Clinical Neurosciences (M.W., E.S., Z.I.), Cumming School of Medicine, and Department of Community Health Sciences (M.W., E.S., Z.I.), University of Calgary, Alberta, Canada; Department of Psychiatry and Neurochemistry (H.Z.), Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg; Clinical Neurochemistry Laboratory (H.Z.), Sahlgrenska University Hospital, Mölndal, Sweden; Department of Neurodegenerative Disease (H.Z.), UCL Institute of Neurology, Queen Square; UK Dementia Research Institute at UCL (H.Z.); Hong Kong Center for Neurodegenerative Diseases (H.Z.), China; Mathison Centre for Mental Health Research & Education (Z.I.), University of Calgary, Alberta, Canada; and College of Medicine and Health (Z.I.), University of Exeter, United Kingdom.
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Prediction of Cognitive Decline by Behavioral Symptoms in Neuropsychiatric Disorders. IRANIAN JOURNAL OF PSYCHIATRY AND BEHAVIORAL SCIENCES 2022. [DOI: 10.5812/ijpbs-126596] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
Background: Neuropsychiatric disorders are described by their neurological, behavioral, and cognitive symptoms. However, behavioral symptoms may often be overlooked due to the current approach in neurology. Objectives: This study investigated the relationship between behavioral symptoms and cognitive functioning in neurological disorders. The second aim was to predict neurocognitive patterns by behavioral symptoms as independent variables. Methods: Behavioral symptoms were collected based on semi-structured neuropsychiatric interviews with 211 patients admitted to the neuropsychiatry department of Ayatollah Kashani hospital in Isfahan by both a neuropsychiatry fellow and an attending neuropsychiatrist. A neuropsychiatry fellow assessed all patients using the neuropsychiatry unit cognitive (NUCog) assessment tool. We used a generalized linear model (GLM) to indicate the effect of behavioral symptoms on the risk of decline in cognitive domains. Due to the use of all available samples, this study had no age limit, and the patients were 15 to 92 years old. Results: The regression coefficient of NUCog subscale scores for behavioral symptoms using GLM revealed that education level had a positive relationship with the scores of attention (P < 0.001), visuoconstruction (P < 0.001), memory (P < 0.001), executive function (P < 0.001), language (P < 0.001), and the total score of NUCog (P < 0.001). Patients with apathy had lower scores on the memory subscale (P = 0.002) and total NUCog (P = 0.021). Similarly, patients with delusion had lower scores on memory (P = 0.006) and executive function (P = 0.026). There was a negative relationship between agitation and attention (P = 0.049), visuoconstruction (P = 0.015), memory (P = 0.018), executive function (P = 0.005), and total score of NUCog (P = 0.007). Sleep disturbances were accompanied by lower memory scores (P = 0.056) and lower mean NUCog scores (P = 0.052). Visual hallucination was associated with declined performance in attention (P = 0.057). Conclusions: Behavioral assessment can help predict cognitive patterns in patients with neurobehavioral syndromes.
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Ronat L, Hoang VT, Hanganu A. Establishing an individualized model of conversion from normal cognition to Alzheimer's disease after 4 years, based on cognitive, brain morphology and neuropsychiatric characteristics. Int J Geriatr Psychiatry 2022; 37. [PMID: 35445762 DOI: 10.1002/gps.5718] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/06/2021] [Accepted: 04/04/2022] [Indexed: 11/05/2022]
Abstract
OBJECTIVES The impact of neuropsychiatric symptoms (NPS) on cognitive performance has been reported, and this impact was better defined in the aging population. Yet the potential of using the impact of NPS on brain and cognitive performance in a longitudinal setting, as prediction of conversion - have remained questionable. This study proposes to establish a predictive model of conversion to Alzheimer's disease (AD) and mild cognitive impairment (MCI) based on current cognitive performance, NPS and their associations with brain morphology. METHODS 156 participants with MCI from the Alzheimer's Disease Neuroimaging Initiative database cognitively stable after a 4-year follow-up were compared to 119 MCI participants who converted to AD. Each participant underwent a neuropsychological assessment evaluating verbal memory, language, executive and visuospatial functions, a neuropsychiatric inventory evaluation and a 3 Tesla MRI. The statistical analyses consisted of 1) baseline comparison between the groups; 2) analysis of covariance model (controlling demographic parameters including functional abilities) to specify the variables that distinguish the two subgroups and; 3) used the significant ANCOVA variables to construct a binary logistic regression model that generates a probability equation to convert to a lower cognitive performance state. RESULTS Results showed that MCI who converted to AD in comparison to stable MCI, exhibited a higher NPS prevalence, a lower cognitive performance and a higher number of involved brain structures. Functional abilities, memory performance and the sizes of inferior temporal, hippocampal and amygdala sizes were significant predictors of MCI to AD conversion. We also report two models of conversion that can be implemented on an individual basis for calculating the percentage risk of conversion after 4 years. CONCLUSION These analytical methods might be a good way to anticipate cognitive and brain declines.
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Affiliation(s)
- Lucas Ronat
- Centre de Recherche de l'Institut Universitaire de Gériatrie de Montréal, Montréal, Québec, Canada
- Faculté de Médecine, Département de Médecine, Université de Montréal, Montréal, Québec, Canada
| | - Van-Tien Hoang
- Centre de Recherche de l'Institut Universitaire de Gériatrie de Montréal, Montréal, Québec, Canada
| | - Alexandru Hanganu
- Centre de Recherche de l'Institut Universitaire de Gériatrie de Montréal, Montréal, Québec, Canada
- Faculté des Arts et des Sciences, Département de Psychologie, Université de Montréal, Montréal, Québec, Canada
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Becker S, Sharma MJ, Callahan BL. ADHD and Neurodegenerative Disease Risk: A Critical Examination of the Evidence. Front Aging Neurosci 2022; 13:826213. [PMID: 35145394 PMCID: PMC8822599 DOI: 10.3389/fnagi.2021.826213] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2021] [Accepted: 12/28/2021] [Indexed: 11/29/2022] Open
Abstract
In this review, we undertake a critical appraisal of eight published studies providing first evidence that a history of attention-deficit/hyperactivity disorder (ADHD) may increase risk for the later-life development of a neurodegenerative disease, in particular Lewy body diseases (LBD), by up to five-fold. Most of these studies have used data linked to health records in large population registers and include impressive sample sizes and adequate follow-up periods. We identify a number of methodological limitations as well, including potential diagnostic inaccuracies arising from the use of electronic health records, biases in the measurement of ADHD status and symptoms, and concerns surrounding the representativeness of ADHD and LBD cohorts. Consequently, previously reported risk associations may have been underestimated due to the high likelihood of potentially missed ADHD cases in groups used as “controls”, or alternatively previous estimates may be inflated due to the inclusion of confounding comorbidities or non-ADHD cases within “exposed” groups that may have better accounted for dementia risk. Prospective longitudinal studies involving well-characterized cases and controls are recommended to provide some reassurance about the validity of neurodegenerative risk estimates in ADHD.
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Affiliation(s)
- Sara Becker
- Department of Psychology, University of Calgary, Calgary, AB, Canada
- Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
| | - Manu J. Sharma
- Department of Psychology, University of Calgary, Calgary, AB, Canada
- Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
| | - Brandy L. Callahan
- Department of Psychology, University of Calgary, Calgary, AB, Canada
- Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
- *Correspondence: Brandy L. Callahan
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Pan Y, Shea YF, Ismail Z, Mak HKF, Chiu PKC, Chu LW, Song YQ. Prevalence of mild behavioural impairment domains: a meta-analysis. Psychogeriatrics 2022; 22:84-98. [PMID: 34729865 DOI: 10.1111/psyg.12782] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/10/2021] [Revised: 10/10/2021] [Accepted: 10/18/2021] [Indexed: 12/18/2022]
Abstract
BACKGROUND Mild behavioural impairment (MBI) is a neurobehavioural syndrome characterised by later life emergence of persistent neuropsychiatric symptoms. Our previous meta-analysis showed that MBI is prevalent among cognitively normal (CN), subjective cognitive impairment (SCI) and mild cognitive impairment (MCI) subjects. This study is to calculate the pooled prevalence of MBI domains among CN, SCI, and MCI subjects. METHODS A search of relevant literature published between 1 January 2003 and 6 August 2021 was conducted. Meta-analysis using a random effects model and meta-regression was performed. RESULTS Ten studies conducted among 12 067 subjects (9758 CN, 1057 SCI and 1252 MCI) with retrievable MBI domains data underwent meta-analysis, revealing pooled prevalence of affective dysregulation (AFD), impulse dyscontrol (IDS), decreased motivation (DMT), social inappropriateness (SIP) and abnormal perception/thought (APT) of 32.84% (95% CI 24.44-42.5%), 26.67% (95% CI 18.24-37.23%), 12.58% (95% CI 6.93-21.75%), 6.05% (95% CI 3.44-10.42%), and 2.81% (95% CI 1.67-4.69%) respectively. AFD and APT domains demonstrated ordinal increase in pooled prevalence from CN, SCI and MCI subgroups, but meta-regression demonstrated no significant difference in MBI domains prevalence among cognitive subgroups (in contrast to the significant increase in MBI prevalence from CN to SCI to MCI). The pooled prevalence of AFD and IDS are greater than that of DMT, SIP and APT among all cognitive subgroups. Several variables were found to explain the high heterogeneity. CONCLUSIONS AFD and IDS are the two most prevalent MBI domains and remain the same with cognitive deterioration. This finding is potentially relevant to clinical practice.
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Affiliation(s)
- Yining Pan
- School of Biomedical Sciences, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Yat-Fung Shea
- Department of Medicine, LKS Faculty of Medicine, The University of Hong Kong, Queen Mary Hospital, Hong Kong SAR, China
| | - Zahinoor Ismail
- Departments of Psychiatry and Clinical Neurosciences, Hotchkiss Brain Institute and O'Brien Institute for Public Health, University of Calgary, Calgary, Alberta, Canada
| | - Henry Ka-Fung Mak
- Department of Diagnostic Radiology, The University of Hong Kong, Hong Kong SAR, China
| | - Patrick Ka-Chun Chiu
- Department of Medicine, LKS Faculty of Medicine, The University of Hong Kong, Queen Mary Hospital, Hong Kong SAR, China
| | - Leung-Wing Chu
- Department of Medicine, LKS Faculty of Medicine, The University of Hong Kong, Queen Mary Hospital, Hong Kong SAR, China
| | - You-Qiang Song
- School of Biomedical Sciences, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
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10
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Goveas JS. Commentary on "Cannabinoids for Agitation in Alzheimer's Disease". Am J Geriatr Psychiatry 2021; 29:1264-1266. [PMID: 33839012 PMCID: PMC8449786 DOI: 10.1016/j.jagp.2021.03.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/12/2021] [Accepted: 03/15/2021] [Indexed: 10/21/2022]
Affiliation(s)
- Joseph S. Goveas
- Department of Psychiatry and Behavioral Medicine, Medical
College of Wisconsin
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11
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Geser F, Mitrovics TCG, Haybaeck J, Yilmazer-Hanke D. Premorbid de novo artistic creativity in frontotemporal dementia (FTD) syndromes. J Neural Transm (Vienna) 2021; 128:1813-1833. [PMID: 34618237 DOI: 10.1007/s00702-021-02426-9] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2021] [Accepted: 09/26/2021] [Indexed: 12/18/2022]
Abstract
The emergence of new artistic activities or shifts in artistic style in patients with frontotemporal dementia (FTD) syndromes is well documented at or after disease onset. However, a closer look in the literature reveals emerging artistic creativity also before FTD onset, although the significance and underlying pathology of such creative endeavors remain elusive. Here, we systematically review relevant studies and report an additional FTD case to elaborate on artistic activities that developed years before disease manifestation by paying particular attention to the sequence of events in individual patients' biography and clinical history. We further discuss the FTD patient's creative activities in the context of their life events, other initial or "premorbid" dementia symptoms or risk factors described in the literature such as mental illness and mild behavioral impairment (MBI), as well as changes in neuronal systems (i.e., neuroimaging and neuropathology). In addition to our FTD patient, we identified five published cases with an FTD syndrome, including three with FTD, one with primary progressive aphasia (PPA), and one with the behavioral variant of PPA (bvPPA). Premorbid novel creativity emerged across different domains (visual, musical, writing), with the FTD diagnosis ensuing artistic productivity by a median of 8 years. Data on late-life and pre-dementia life events were available in four cases. The late creative phase in our case was accompanied by personality changes, accentuation of personality traits, and cessation of painting activities occurred with the onset of memory complaints. Thus, premorbid personality changes in FTD patients can be associated with de novo creative activity. Stressful life events may also contribute to the burgeoning of creativity. Moreover, primary neocortical areas that are largely spared by pathology at early FTD stages may facilitate the engagement in artistic activities, offering a window of opportunity for art therapy and other therapeutic interventions during the MBI stage or even earlier.
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Affiliation(s)
- Felix Geser
- Department of Geriatric Psychiatry, Klinikum Christophsbad, Faurndauer Str. 6-28, 73035, Göppingen, Germany.
| | - Tibor C G Mitrovics
- Department of Radiology and Neuroradiology, Klinikum Christophsbad, Göppingen, Germany
| | - Johannes Haybaeck
- Institute of Pathology, Neuropathology and Molecular Pathology, Medical University of Innsbruck, Innsbruck, Austria.,Diagnostic & Research Center for Molecular Biomedicine, Institute of Pathology, Medical University of Graz, Graz, Austria
| | - Deniz Yilmazer-Hanke
- Clinical Neuroanatomy, Department of Neurology, University Hospital, Ulm University, Ulm, Germany
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Diaz-Marsa M, MacDowell K, de laTorre-Luque A, Caso JR, Faya M, Gutierrez S, Soto M, Pemau A, Diaz-Carracedo P, Carrasco-Diaz A, Leza JC, Graell M, Carrasco JL. Inflammatory dysregulation in women with an eating disorder: Relationships with altered emotional reactivity. Int J Eat Disord 2021; 54:1843-1854. [PMID: 34418141 DOI: 10.1002/eat.23598] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/24/2021] [Revised: 08/11/2021] [Accepted: 08/11/2021] [Indexed: 12/26/2022]
Abstract
BACKGROUND Some studies suggest that inflammatory signaling dysregulation may contribute to eating disorder (ED) pathophysiology. However, little is known about the influence of inflammatory response on altered processes seen among patients with ED, such as emotional processing and reactivity. OBJECTIVES The objectives were: (a) to investigate the systemic inflammatory response in ED women; and (b) to analyze the role of inflammatory markers in emotional reactivity. METHOD Concentrations of several intercellular and intracellular inflammatory mediators (cytokines, prostaglandin by-products and enzymes, TBARS, and MAPK proteins) were quantified in plasma and PBMCs from 68 women with an ED (m = 22.01 years, SD = 9.15) and 35 healthy controls (m = 18.54 years, SD = 4.21). Moreover, emotional reactivity to affective pictures (those without either food or thinness content) was studied using the adult (>18 years old) sample (n = 41). RESULTS Between-group differences were revealed for most markers (TNF-α, PGE2 , COX2, and ratio of activated MAPK proteins), pointing to increased inflammatory response in patients (p < .01). Women with ED showed heightened emotional reactivity, regardless of picture valence. Principal components derived from inflammatory markers showed an explanatory loading on patient's emotional reaction, in terms of valence and arousal. CONCLUSION This study corroborates the altered systemic inflammatory response in patients with ED. The inflammatory dysregulation may contribute to ED phenotype, as seen by its relationship with heightened emotional reactivity, even though the inflammatory markers were not evaluated throughout the emotional reactivity protocol.
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Affiliation(s)
- Marina Diaz-Marsa
- Department of Legal Medicine, Psychiatry, and Pathology, Universidad Complutense de Madrid (UCM), Madrid, Spain.,Centre for Biomedical Research in Mental Health (CIBERSAM), Madrid, Spain.,IIS Hospital Clinico San Carlos, Madrid, Spain
| | - Karina MacDowell
- Centre for Biomedical Research in Mental Health (CIBERSAM), Madrid, Spain.,Department of Pharmacology and Toxicology, School of Medicine, UCM, Madrid, Spain.,IIS Hospital 12 de Octubre, IUIN-UCM, Madrid, Spain
| | - Alejandro de laTorre-Luque
- Department of Legal Medicine, Psychiatry, and Pathology, Universidad Complutense de Madrid (UCM), Madrid, Spain.,Centre for Biomedical Research in Mental Health (CIBERSAM), Madrid, Spain
| | - Javier R Caso
- Centre for Biomedical Research in Mental Health (CIBERSAM), Madrid, Spain.,Department of Pharmacology and Toxicology, School of Medicine, UCM, Madrid, Spain.,IIS Hospital 12 de Octubre, IUIN-UCM, Madrid, Spain
| | - Mar Faya
- Child and Adolescent Psychiatry and Psychology Service, Child Hospital Niño Jesus, Madrid, Spain
| | - Silvia Gutierrez
- Child and Adolescent Psychiatry and Psychology Service, Child Hospital Niño Jesus, Madrid, Spain
| | - Marta Soto
- IIS Hospital Clinico San Carlos, Madrid, Spain
| | - Andres Pemau
- Faculty of Psychology, Universidad Complutense de Madrid, Madrid, Spain
| | | | - Alvaro Carrasco-Diaz
- Education and Psychology Faculty, Francisco de Vitoria University, Madrid, Spain
| | - Juan C Leza
- Centre for Biomedical Research in Mental Health (CIBERSAM), Madrid, Spain.,Department of Pharmacology and Toxicology, School of Medicine, UCM, Madrid, Spain.,IIS Hospital 12 de Octubre, IUIN-UCM, Madrid, Spain
| | - Montserrat Graell
- Centre for Biomedical Research in Mental Health (CIBERSAM), Madrid, Spain.,Child and Adolescent Psychiatry and Psychology Service, Child Hospital Niño Jesus, Madrid, Spain
| | - Jose L Carrasco
- Department of Legal Medicine, Psychiatry, and Pathology, Universidad Complutense de Madrid (UCM), Madrid, Spain.,Centre for Biomedical Research in Mental Health (CIBERSAM), Madrid, Spain.,IIS Hospital Clinico San Carlos, Madrid, Spain
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13
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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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14
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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: 55] [Impact Index Per Article: 18.3] [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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15
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Johansson M, Stomrud E, Insel PS, Leuzy A, Johansson PM, Smith R, Ismail Z, Janelidze S, Palmqvist S, van Westen D, Mattsson-Carlgren N, Hansson O. Mild behavioral impairment and its relation to tau pathology in preclinical Alzheimer's disease. Transl Psychiatry 2021; 11:76. [PMID: 33500386 PMCID: PMC7838407 DOI: 10.1038/s41398-021-01206-z] [Citation(s) in RCA: 62] [Impact Index Per Article: 20.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/14/2020] [Revised: 12/14/2020] [Accepted: 01/07/2021] [Indexed: 12/17/2022] Open
Abstract
Mild behavioral impairment (MBI) is suggested as risk marker for neurodegenerative diseases, such as Alzheimer's disease (AD). Recently, pathologic tau deposition in the brain has been shown closely related to clinical manifestations, such as cognitive deficits. Yet, associations between tau pathology and MBI have rarely been investigated. It is further debated if MBI precedes cognitive deficits in AD. Here, we explored potential mechanisms by which MBI is related to AD, this by studying associations between MBI and tau in preclinical AD. In all, 50 amyloid-β-positive cognitively unimpaired subjects (part of the BioFINDER-2 study) underwent MBI-checklist (MBI-C) to assess MBI, and the Alzheimer's Disease Assessment Scale - Cognitive subscale (ADAS-Cog) delayed word recall (ADAS-DR) to assess episodic memory. Early tau pathology was determined using tau-PET ([18F]RO948 retention in entorhinal cortex/hippocampus) and cerebrospinal fluid (CSF) P-tau181. Regression models were used to test for associations. We found that higher tau-PET signal in the entorhinal cortex/hippocampus and CSF P-tau181 levels were associated with higher MBI-C scores (β = 0.010, SE = 0.003, p = 0.003 and β = 1.263, SE = 0.446, p = 0.007, respectively). When MBI-C and ADAS-DR were entered together in the regression models, tau-PET (β = 0.009, p = 0.009) and CSF P-tau181 (β = 0.408, p = 0.006) were predicted by MBI-C, but not ADAS-DR. We conclude that in preclinical AD, MBI is associated with tau independently from memory deficits. This denotes MBI as an important early clinical manifestation related to tau pathology in AD.
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Affiliation(s)
- Maurits Johansson
- Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, SUS, Malmö, Sweden. .,Division of Clinical Sciences Helsingborg, Department of Clinical Sciences Lund, Lund University, Helsingborg, Sweden. .,Department of Psychiatry, Helsingborg Hospital, Helsingborg, Sweden.
| | - Erik Stomrud
- grid.4514.40000 0001 0930 2361Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, SUS, Malmö, Sweden ,grid.411843.b0000 0004 0623 9987Memory Clinic, Skåne University Hospital, Malmö, Sweden
| | - Philip S. Insel
- grid.4514.40000 0001 0930 2361Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, SUS, Malmö, Sweden ,grid.266102.10000 0001 2297 6811Department of Psychiatry, University of California, San Francisco, CA USA
| | - Antoine Leuzy
- grid.4514.40000 0001 0930 2361Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, SUS, Malmö, Sweden
| | - Per Mårten Johansson
- grid.4514.40000 0001 0930 2361Division of Clinical Sciences Helsingborg, Department of Clinical Sciences Lund, Lund University, Helsingborg, Sweden ,grid.8761.80000 0000 9919 9582Department of Internal Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Ruben Smith
- grid.4514.40000 0001 0930 2361Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, SUS, Malmö, Sweden ,grid.411843.b0000 0004 0623 9987Department of Neurology, Skåne University Hospital, Lund, Sweden
| | - Zahinoor Ismail
- grid.22072.350000 0004 1936 7697Departments of Psychiatry, Clinical Neurosciences, and Community Health Sciences, University of Calgary, 3280 Hospital Drive NW, Calgary, AB Canada ,grid.22072.350000 0004 1936 7697Hotchkiss Brain Institute and O’Brien Institute for Public Health, University of Calgary, 3280 Hospital Drive NW, Calgary, AB Canada
| | - Shorena Janelidze
- grid.4514.40000 0001 0930 2361Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, SUS, Malmö, Sweden
| | - Sebastian Palmqvist
- grid.4514.40000 0001 0930 2361Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, SUS, Malmö, Sweden ,grid.411843.b0000 0004 0623 9987Memory Clinic, Skåne University Hospital, Malmö, Sweden
| | - Danielle van Westen
- grid.4514.40000 0001 0930 2361Diagnostic Radiology, Department of Clinical Sciences Lund, Lund University, Lund, Sweden ,grid.411843.b0000 0004 0623 9987Image and Function, Skåne University Hospital, Malmö, Sweden
| | - Niklas Mattsson-Carlgren
- grid.4514.40000 0001 0930 2361Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, SUS, Malmö, Sweden ,grid.411843.b0000 0004 0623 9987Department of Neurology, Skåne University Hospital, Lund, Sweden ,grid.4514.40000 0001 0930 2361Wallenberg Center for Molecular Medicine, Lund University, Lund, Sweden
| | - Oskar Hansson
- Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, SUS, Malmö, Sweden. .,Memory Clinic, Skåne University Hospital, Malmö, Sweden.
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16
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Gill S, Mouches P, Hu S, Rajashekar D, MacMaster FP, Smith EE, Forkert ND, Ismail Z. Using Machine Learning to Predict Dementia from Neuropsychiatric Symptom and Neuroimaging Data. J Alzheimers Dis 2020; 75:277-288. [PMID: 32250302 PMCID: PMC7306896 DOI: 10.3233/jad-191169] [Citation(s) in RCA: 48] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/25/2020] [Indexed: 01/17/2023]
Abstract
BACKGROUND Machine learning (ML) is a promising technique for patient-specific prediction of mild cognitive impairment (MCI) and dementia development. Neuropsychiatric symptoms (NPS) might improve the accuracy of ML models but have barely been used for this purpose. OBJECTIVES To investigate if baseline mild behavioral impairment (MBI) status used for NPS quantification along with brain morphology features are predictive of follow-up diagnosis, median 40 months later in patients with normal cognition (NC) or MCI. METHOD Baseline neuroimaging, neuropsychiatric, and clinical data from 102 individuals with NC and 239 with MCI were extracted from the Alzheimer's Disease Neuroimaging Initiative database. Neuropsychiatric inventory questionnaire items were transformed to MBI domains using a published algorithm. Diagnosis at latest follow-up was used as the outcome variable and ground truth classification. A logistic model tree classifier combined with information gain feature selection was trained to predict follow-up diagnosis. RESULTS In the binary classification (NC versus MCI/AD), the optimal ML model required only two features from over 200, MBI total score and left hippocampal volume. These features correctly classified participants as remaining normal or developing cognitive impairment with 84.4% accuracy (area under the receiver operating characteristics curve [ROC-AUC] = 0.86). Seven features were selected for the three-class model (NC versus MCI versus dementia) achieving an accuracy of 58.8% (ROC-AUC=0.73). CONCLUSION Baseline NPS, categorized for MBI domain and duration, have prognostic utility in addition to brain morphology measures for predicting diagnosis change using ML. MBI total score, followed by impulse dyscontrol and affective dysregulation were most predictive of future diagnosis.
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Affiliation(s)
- Sascha Gill
- Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
- Department of Clinical Neurosciences, University of Calgary, Calgary, Alberta, Canada
| | - Pauline Mouches
- Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
- Department of Radiology, 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
| | - Deepthi Rajashekar
- Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
- Department of Radiology, University of Calgary, Calgary, Alberta, Canada
| | - Frank P. MacMaster
- Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
- Department of Psychiatry, University of Calgary, Calgary, Alberta, Canada
- Addictions and Mental Health Strategic Clinical Network, Alberta, Canada
| | - Eric E. Smith
- Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
- Department of Clinical Neurosciences, 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
| | - 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
- O’Brien Institute for Public Health, University of Calgary, Calgary, Alberta, Canada
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17
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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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