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Kang M, Li C, Mahajan A, Spat-Lemus J, Durape S, Chen J, Gurnani AS, Devine S, Auerbach SH, Ang TFA, Sherva R, Qiu WQ, Lunetta KL, Au R, Farrer LA, Mez J. Subjective Cognitive Decline Plus and Longitudinal Assessment and Risk for Cognitive Impairment. JAMA Psychiatry 2024; 81:993-1002. [PMID: 38959008 PMCID: PMC11223054 DOI: 10.1001/jamapsychiatry.2024.1678] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/13/2024] [Accepted: 04/17/2024] [Indexed: 07/04/2024]
Abstract
Importance Subjective cognitive decline (SCD) is recognized to be in the Alzheimer disease (AD) cognitive continuum. The SCD Initiative International Working Group recently proposed SCD-plus (SCD+) features that increase risk for future objective cognitive decline but that have not been assessed in a large community-based setting. Objective To assess SCD risk for mild cognitive impairment (MCI), AD, and all-cause dementia, using SCD+ criteria among cognitively normal adults. Design, Setting, and Participants The Framingham Heart Study, a community-based prospective cohort study, assessed SCD between 2005 and 2019, with up to 12 years of follow-up. Participants 60 years and older with normal cognition at analytic baseline were included. Cox proportional hazards (CPH) models were adjusted for baseline age, sex, education, APOE ε4 status, and tertiles of AD polygenic risk score (PRS), excluding the APOE region. Data were analyzed from May 2021 to November 2023. Exposure SCD was assessed longitudinally using a single question and considered present if endorsed at the last cognitively normal visit. It was treated as a time-varying variable, beginning at the first of consecutive, cognitively normal visits, including the last, at which it was endorsed. Main Outcomes and Measures Consensus-diagnosed MCI, AD, and all-cause dementia. Results This study included 3585 participants (mean [SD] baseline age, 68.0 [7.7] years; 1975 female [55.1%]). A total of 1596 participants (44.5%) had SCD, and 770 (21.5%) were carriers of APOE ε4. APOE ε4 and tertiles of AD PRS status did not significantly differ between the SCD and non-SCD groups. MCI, AD, and all-cause dementia were diagnosed in 236 participants (6.6%), 73 participants (2.0%), and 89 participants (2.5%), respectively, during follow-up. On average, SCD preceded MCI by 4.4 years, AD by 6.8 years, and all-cause dementia by 6.9 years. SCD was significantly associated with survival time to MCI (hazard ratio [HR], 1.57; 95% CI, 1.22-2.03; P <.001), AD (HR, 2.98; 95% CI, 1.89-4.70; P <.001), and all-cause dementia (HR, 2.14; 95% CI, 1.44-3.18; P <.001). After adjustment for APOE and AD PRS, the hazards of SCD were largely unchanged. Conclusions and Relevance Results of this cohort study suggest that in a community setting, SCD reflecting SCD+ features was associated with an increased risk of future MCI, AD, and all-cause dementia with similar hazards estimated in clinic-based settings. SCD may be an independent risk factor for AD and other dementias beyond the risk incurred by APOE ε4 and AD PRS.
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Affiliation(s)
- Moonil Kang
- Framingham Heart Study, Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts
- Department of Medicine (Biomedical Genetics), Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts
| | - Clara Li
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Arnav Mahajan
- George Washington University School of Medicine and Health Sciences, Washington, DC
| | - Jessica Spat-Lemus
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York
- Department of Psychology, Montclair State University, Montclair, New Jersey
| | - Shruti Durape
- Framingham Heart Study, Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts
- Alzheimer’s Disease Research Center, Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts
- Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts
| | - Jiachen Chen
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts
| | - Ashita S. Gurnani
- Framingham Heart Study, Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts
- Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts
| | - Sherral Devine
- Framingham Heart Study, Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts
- Department of Anatomy & Neurobiology, Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts
| | - Sanford H. Auerbach
- Framingham Heart Study, Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts
- Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts
| | - Ting Fang Alvin Ang
- Framingham Heart Study, Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts
- Department of Anatomy & Neurobiology, Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts
- Slone Epidemiology Center, Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts
| | - Richard Sherva
- Framingham Heart Study, Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts
- Department of Medicine (Biomedical Genetics), Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts
| | - Wei Qiao Qiu
- Framingham Heart Study, Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts
- Alzheimer’s Disease Research Center, Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts
- Department of Pharmacology & Experimental Therapeutics, Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts
- Department of Psychiatry, Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts
| | - Kathryn L. Lunetta
- Framingham Heart Study, Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts
| | - Rhoda Au
- Framingham Heart Study, Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts
- Alzheimer’s Disease Research Center, Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts
- Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts
- Department of Anatomy & Neurobiology, Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts
- Slone Epidemiology Center, Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts
- Department of Epidemiology, Boston University School of Public Health, Boston, Massachusetts
| | - Lindsay A. Farrer
- Framingham Heart Study, Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts
- Department of Medicine (Biomedical Genetics), Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts
- Alzheimer’s Disease Research Center, Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts
- Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts
- Department of Epidemiology, Boston University School of Public Health, Boston, Massachusetts
- Department of Ophthalmology, Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts
| | - Jesse Mez
- Framingham Heart Study, Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts
- Alzheimer’s Disease Research Center, Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts
- Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts
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Bueichekú E, Diez I, Gagliardi G, Kim CM, Mimmack K, Sepulcre J, Vannini P. Multi-modal Neuroimaging Phenotyping of Mnemonic Anosognosia in the Aging Brain. COMMUNICATIONS MEDICINE 2024; 4:65. [PMID: 38580832 PMCID: PMC10997795 DOI: 10.1038/s43856-024-00497-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2023] [Accepted: 03/28/2024] [Indexed: 04/07/2024] Open
Abstract
BACKGROUND Unawareness is a behavioral condition characterized by a lack of self-awareness of objective memory decline. In the context of Alzheimer's Disease (AD), unawareness may develop in predementia stages and contributes to disease severity and progression. Here, we use in-vivo multi-modal neuroimaging to profile the brain phenotype of individuals presenting altered self-awareness of memory during aging. METHODS Amyloid- and tau-PET (N = 335) and resting-state functional MRI (N = 713) imaging data of individuals from the Anti-Amyloid Treatment in Asymptomatic Alzheimer's Disease (A4)/Longitudinal Evaluation of Amyloid Risk and Neurodegeneration (LEARN) Study were used in this research. We applied whole-brain voxel-wise and region-of-interest analyses to characterize the cortical intersections of tau, amyloid, and functional connectivity networks underlying unawareness in the aging brain compared to aware, complainer and control groups. RESULTS Individuals with unawareness present elevated amyloid and tau burden in midline core regions of the default mode network compared to aware, complainer or control individuals. Unawareness is characterized by an altered network connectivity pattern featuring hyperconnectivity in the medial anterior prefrontal cortex and posterior occipito-parietal regions co-locating with amyloid and tau deposition. CONCLUSIONS Unawareness is an early behavioral biomarker of AD pathology. Failure of the self-referential system in unawareness of memory decline can be linked to amyloid and tau burden, along with functional network connectivity disruptions, in several medial frontal and parieto-occipital areas of the human brain.
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Affiliation(s)
- Elisenda Bueichekú
- Gordon Center for Medical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Ibai Diez
- Gordon Center for Medical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA
| | - Geoffroy Gagliardi
- Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Chan-Mi Kim
- Gordon Center for Medical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Kayden Mimmack
- Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Jorge Sepulcre
- Gordon Center for Medical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA.
- Department of Radiology, Yale PET Center, Yale Medical School, Yale University, New Haven, CT, USA.
| | - Patrizia Vannini
- Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
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Jin S, Yoon JH, Na DL. Effects of workbook training using editorials and newspaper articles in adults with preclinical stage of dementia. Sci Rep 2024; 14:2302. [PMID: 38280933 PMCID: PMC10821911 DOI: 10.1038/s41598-024-52873-z] [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: 06/05/2023] [Accepted: 01/24/2024] [Indexed: 01/29/2024] Open
Abstract
Early detection and intervention in individuals in the pre-clinical stage of dementia are crucial. This study aimed to examine whether there are significant differences in (1) word retrieval, (2) subjective communication ability, (3) intervention satisfaction through the 'Fill-in-the-blanks in editorial and newspaper articles' training in patients with subjective cognitive decline and mild cognitive impairment corresponding to the pre-clinical stage of dementia. Ninety-nine patients (50 in the intervention group and 49 in the control group) aged 50-84 years were administered pre- and post-test after 6 weeks of intervention (30 sessions). Regarding word retrieval, there were significant intervention effects on confrontation naming, semantic fluency, and phonemic fluency. The majority of participants in the intervention group were highly satisfied with the training. In terms of intervention satisfaction, the majority of the participants in the intervention group showed high satisfaction with all the questions. This result confirmed the improvement of word retrieval ability through mass communication content-based 'Fill-in-the-blanks' training, and ultimately helps to provide a clinical basis for applying this intervention to prevent dementia.
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Affiliation(s)
- Sora Jin
- Department of Speech Pathology and Audiology, Graduate School at Hallym University, Chuncheon, South Korea
| | - Ji Hye Yoon
- Division of Speech Pathology and Audiology, Research Institute of Audiology and Speech Pathology, Hallym University, Chuncheon, South Korea.
| | - Duk L Na
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
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Kim H, Kwak S, Yoo SY, Lee EC, Park S, Ko H, Bae M, Seo M, Nam G, Lee JY. Facial Expressions Track Depressive Symptoms in Old Age. SENSORS (BASEL, SWITZERLAND) 2023; 23:7080. [PMID: 37631616 PMCID: PMC10459725 DOI: 10.3390/s23167080] [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] [Received: 03/14/2023] [Revised: 07/17/2023] [Accepted: 07/20/2023] [Indexed: 08/27/2023]
Abstract
Facial expressions play a crucial role in the diagnosis of mental illnesses characterized by mood changes. The Facial Action Coding System (FACS) is a comprehensive framework that systematically categorizes and captures even subtle changes in facial appearance, enabling the examination of emotional expressions. In this study, we investigated the association between facial expressions and depressive symptoms in a sample of 59 older adults without cognitive impairment. Utilizing the FACS and the Korean version of the Beck Depression Inventory-II, we analyzed both "posed" and "spontaneous" facial expressions across six basic emotions: happiness, sadness, fear, anger, surprise, and disgust. Through principal component analysis, we summarized 17 action units across these emotion conditions. Subsequently, multiple regression analyses were performed to identify specific facial expression features that explain depressive symptoms. Our findings revealed several distinct features of posed and spontaneous facial expressions. Specifically, among older adults with higher depressive symptoms, a posed face exhibited a downward and inward pull at the corner of the mouth, indicative of sadness. In contrast, a spontaneous face displayed raised and narrowed inner brows, which was associated with more severe depressive symptoms in older adults. These findings suggest that facial expressions can provide valuable insights into assessing depressive symptoms in older adults.
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Affiliation(s)
- Hairin Kim
- Department of Psychiatry, Seoul National University College of Medicine & SMG-SNU Boramae Medical Center, Seoul 07061, Republic of Korea
| | - Seyul Kwak
- Department of Psychology, Pusan National University, Busan 46241, Republic of Korea
| | - So Young Yoo
- Department of Psychiatry, Seoul National University College of Medicine & SMG-SNU Boramae Medical Center, Seoul 07061, Republic of Korea
| | - Eui Chul Lee
- Department of Human-Centered Artificial Intelligence, Sangmyung University, Hongjimun 2-Gil 20, Jongno-Gu, Seoul 03016, Republic of Korea
| | - Soowon Park
- Division of Teacher Education, College of General Education for Truth, Sincerity and Love, Kyonggi University, Suwon 16227, Republic of Korea
| | - Hyunwoong Ko
- Samsung Advanced Institute for Health Sciences and Technology (SAIHST), Sungkyunkwan University, Samsung Medical Center, Seoul 06355, Republic of Korea
- Interdisciplinary Program in Cognitive Science, Seoul National University, Seoul 08826, Republic of Korea
| | - Minju Bae
- Interdisciplinary Program in Cognitive Science, Seoul National University, Seoul 08826, Republic of Korea
| | - Myogyeong Seo
- Department of Psychiatry, Seoul National University College of Medicine & SMG-SNU Boramae Medical Center, Seoul 07061, Republic of Korea
| | - Gieun Nam
- Department of Psychiatry, Seoul National University College of Medicine & SMG-SNU Boramae Medical Center, Seoul 07061, Republic of Korea
| | - Jun-Young Lee
- Department of Psychiatry, Seoul National University College of Medicine & SMG-SNU Boramae Medical Center, Seoul 07061, Republic of Korea
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Johar H, Schaefer A, Su TT. Depressive symptoms mediate the longitudinal association between diabetes and subjective cognitive decline. Findings from a semirural multi-ethnic older population in Malaysia. Prev Med 2023; 167:107390. [PMID: 36528114 DOI: 10.1016/j.ypmed.2022.107390] [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: 08/11/2022] [Revised: 11/15/2022] [Accepted: 12/11/2022] [Indexed: 12/15/2022]
Abstract
The potential role of psychological distress as the pathway linking diabetes and subjective cognitive decline (SCD) is still unclear. This study aims to investigate whether depressive symptoms mediate the relationship between diabetes and SCD in older adults. Baseline data from 3428 adults (55-94 years) of the South East Asia Community Observatory (SEACO), Malaysia were utilized. Subjective cognitive complaints (SCC) were recorded at baseline and five years later. Mediation analyses with non-parametric bootstrapping methods were employed. A proportion of 20% of participants without SCC at baseline reported a decline in SCC after 5 years of follow-up. Known diabetes (β = -0.13, SE = 0.05, p = 0.02) and depressive symptoms (ß = -0.18, SE = 0.05, p = 0.001) were independently associated with SCD. Previously diagnosed diabetes was associated with depressive symptoms at baseline (ß = 0.04, SE = 0.02, p = 0.01), and greater SCD at follow-up (β = -0.19, SE = 0.06, p = 0.001). Mediation analyses revealed that 9% of the association between diabetes and SCD was attributable to an indirect effect through depressive symptoms (ß = -0.01, 95% CI 0.02-0.001, p < 0.0001). This study provides further evidence of the detrimental effects of diabetes and depression on subjective cognitive decline. Our findings also suggest that depression is an important pathway linking previously diagnosed diabetes with subjective cognitive decline in older adulthood.
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Affiliation(s)
- Hamimatunnisa Johar
- Global Public Health, Jeffrey Cheah School of Medicine and Health Sciences, Monash University Malaysia, Jalan Lagoon Selatan, Bandar Sunway, 47500, Selangor, Malaysia; Department of Psychosomatic Medicine and Psychotherapy, University of Giessen and Marburg, Giessen, Germany; Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, München, Germany.
| | - Alexandre Schaefer
- School of Medical and Life Sciences, Department of Psychology, Sunway University, Malaysia; Ageing, Health and Well-being Research Centre, Sunway University, Malaysia
| | - Tin Tin Su
- Global Public Health, Jeffrey Cheah School of Medicine and Health Sciences, Monash University Malaysia, Jalan Lagoon Selatan, Bandar Sunway, 47500, Selangor, Malaysia; South East Asia Community Observatory (SEACO), Jeffrey Cheah School of Medicine and Health Sciences, Monash University Malaysia, Jalan Lagoon Selatan, Bandar Sunway, 47500, Selangor, Malaysia
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Hong JY, Lee PH. Subjective Cognitive Complaints in Cognitively Normal Patients With Parkinson's Disease: A Systematic Review. J Mov Disord 2023; 16:1-12. [PMID: 36353806 PMCID: PMC9978265 DOI: 10.14802/jmd.22059] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2022] [Accepted: 08/15/2022] [Indexed: 11/11/2022] Open
Abstract
Subjective cognitive complaints (SCCs) refer to self-perceived cognitive decline and are related to objective cognitive decline. SCCs in cognitively normal individuals are considered a preclinical sign of subsequent cognitive impairment due to Alzheimer's disease, and SCCs in cognitively normal patients with Parkinson's disease (PD) are also gaining attention. The aim of this review was to provide an overview of the current research on SCCs in cognitively normal patients with PD. A systematic search found a lack of consistency in the methodologies used to define and measure SCCs. Although the association between SCCs and objective cognitive performance in cognitively normal patients with PD is controversial, SCCs appear to be predictive of subsequent cognitive decline. These findings support the clinical value of SCCs in cognitively normal status in PD; however, further convincing evidence from biomarker studies is needed to provide a pathophysiological basis for these findings. Additionally, a consensus on the definition and assessment of SCCs is needed for further investigations.
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Affiliation(s)
- Jin Yong Hong
- Department of Neurology, Yonsei University Wonju College of Medicine, Wonju, Korea
| | - Phil Hyu Lee
- Department of Neurology, Yonsei University College of Medicine, Seoul, Korea,Severance Biomedical Science Institute, Yonsei University College of Medicine, Seoul, Korea,Corresponding author: Phil Hyu Lee, MD, PhD Department of Neurology, Yonsei University College of Medicine, 50 Yonsei-ro, Seodaemun-gu, Seoul 03722, Korea / Tel: +82-2-2228-1608 / Fax: +82-2-393-0705 / E-mail:
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Li CL, Chang HY, Tsai YH. Sarcopenia Screened with SARC-F and Subjective Memory Complaints Are Independently Associated with Increased Risk of Incident Dementia among Cognitively Unimpaired Older Adults. J Nutr Health Aging 2023; 27:940-945. [PMID: 37997713 DOI: 10.1007/s12603-023-2006-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2023] [Accepted: 09/15/2023] [Indexed: 11/25/2023]
Abstract
OBJECTIVES The main aim of this study was to examine the association of sarcopenia and subjective memory complaints with the incidence of dementia in a population-based cohort of cognitively unimpaired older adults. DESIGN Three-year longitudinal study. SETTINGS AND PARTICIPANTS A total of 2163 community-dwelling persons aged 65 years or older who participated in the National Health Interview Survey in Taiwan, 2017. MEASUREMENTS Sarcopenia was determined based on SARC-F, a self-reported symptom-based questionnaire that includes five components: strength, assistance walking, rise from a chair, climb stairs, and falls. Two questions ("Do you have difficulties with your memory or attention?" and "Do you have difficulties with your memory only or attention only or both?") were used to screen for subjective memory complaints (SMCs). The incidence of dementia was determined by data linkage to the Taiwan National Health Insurance claims database from 2018 to 2020. RESULTS Among the 2163 participants without dementia at baseline, 135 had incident dementia during the 3-year follow-up, giving a crude incidence rate of 6.2% (135/2163). Compared to participants free from sarcopenia and SMCs, the adjusted hazard ratio for incident dementia was 1.83 (95% confidence interval [CI]: 1.23-2.72) for SMCs alone, 2.40 (95% CI: 1.17-4.93) for sarcopenia alone, and 2.49 (95% CI: 1.21-5.11) for coexisting SMCs and sarcopenia. CONCLUSIONS Our results indicate that sarcopenia screened with SARC-F and SMCs independently predict the cognitively unimpaired older adults at risk of incident dementia. Our findings highlight the importance of screening not only for cognitive but also muscle deficits to identify those at increased risk of incident dementia.
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Affiliation(s)
- C-L Li
- Chia-Lin Li, PhD., Department of Health Care Management, College of Management, Chang Gung University, 259 Wen-Hwa 1st Road, Kwei-Shan, Tao-Yuan 333, Taiwan, Tel: +886-3-2118800 ext. 5666, E-mail:
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Oliver MD, Morrison C, Kamal F, Graham J, Dadar M. Subjective cognitive decline is a better marker for future cognitive decline in females than in males. Alzheimers Res Ther 2022; 14:197. [PMID: 36581949 PMCID: PMC9798694 DOI: 10.1186/s13195-022-01138-w] [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: 08/18/2022] [Accepted: 12/05/2022] [Indexed: 12/30/2022]
Abstract
BACKGROUND The identification of biomarkers for early detection of Alzheimer's disease (AD) is critical to the development of therapies and interventions targeted at symptom management and tracking the pathophysiology of disease. The endorsement of subjective cognitive decline (SCD) has emerged as a potential indicator of early change in cognitive status that may be predictive of future impairment at a time when measurable declines in neuropsychological performance cannot be detected. While there are numerous findings revealing sex differences in the prevalence of AD, there is a paucity of research examining sex differences in SCD. Therefore, the goal of this project was to determine if the relationship between the endorsement of SCD and future cognitive changes differ as a function of biological sex. METHODS A sample of 3019 male and female healthy older adults (2188 without SCD, 831 with SCD), with a mean follow-up time of 5.7 years, were included from the Rush Alzheimer's Disease Center Research Sharing Hub. Linear regressions were performed to determine group differences in baseline cognitive scores, while linear mixed-effects models were completed to determine group differences in the rate of cognitive change over time. RESULTS Individuals endorsing SCD had significantly lower baseline cognitive scores and increased rates of decline in all cognitive domains compared to those without SCD. Males exhibited significantly lower scores in baseline performance in global cognition, episodic memory, and perceptual speed regardless of SCD classification. Females with SCD were found to decline at significantly faster rates than both males with SCD and males and females without SCD in all cognitive domains over a maximum 15-year follow-up period. CONCLUSIONS SCD is related to lower baseline cognitive performance and faster cognitive decline compared to those who do not endorse SCD. Females with SCD have the fastest rate of decline suggesting that SCD may be more predictive of future decline in females than in males. Targeted assessments of SCD may allow for the identification of individuals for inclusion in intervention trials, and other research studies, aiming to attenuate casual disease processes, which may ultimately aid in the mitigation of sex disparities in AD.
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Affiliation(s)
- Michael D Oliver
- Department of Psychological Science and Neuroscience, Belmont University, Nashville, TN, USA.
- Belmont Data Collaborative, Belmont University, Nashville, TN, USA.
| | - Cassandra Morrison
- McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, QC, Canada
- Department of Neurology and Neurosurgery, McGill University, Montreal, QC, Canada
| | - Farooq Kamal
- Department of Psychiatry, McGill University, Montreal, QC, Canada
- Douglas Mental Health University Institute, Montreal, QC, Canada
| | - Jillian Graham
- Department of Psychological Science and Neuroscience, Belmont University, Nashville, TN, USA
| | - Mahsa Dadar
- Department of Psychiatry, McGill University, Montreal, QC, Canada
- Douglas Mental Health University Institute, Montreal, QC, Canada
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9
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Smith JR, Betz JF, Garcia EE, Jiang K, Swenor BK, Reed NS, Deal JA. Self-Reported Dual Sensory Impairment and Subjective Cognitive Complaints Among Older Adults in the 2019 National Health Interview Survey. Am J Audiol 2022; 31:1202-1209. [PMID: 36347031 PMCID: PMC9907399 DOI: 10.1044/2022_aja-22-00087] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022] Open
Abstract
PURPOSE Subjective cognitive complaints (SCCs) are associated with poor quality of life, important for clinical care planning and management, and may predict dementia diagnosis. Dual sensory impairment (DSI) is a risk factor for dementia, but whether DSI is associated with SCCs is unknown. We evaluated whether self-reported DSI is associated with SCCs. METHOD We performed a cross-sectional analysis of 9,899 community-dwelling respondents aged 60+ years without dementia or depression in the 2019 National Health Interview Survey. Participants self-reported difficulty remembering or concentrating, seeing even when wearing corrective lenses, and hearing even when using a hearing aid. We defined SCCs and sensory impairment for each mode as reporting at least some difficulty. We categorized sensory impairment into no sensory impairment, vision impairment only, hearing impairment only, and DSI. We then estimated weighted prevalence ratios (PRs) of SCCs by impairment category. RESULTS After weighting (9,899 participants representing a weighted n = 59,261,749), 12% of participants reported vision impairment only, 19% reported hearing impairment only, and 7% reported DSI. Relative to no impairment, after adjustment for potential confounders, vision impairment (PR = 2.07; 95% confidence interval [CI] [1.79, 2.39]), hearing impairment (PR = 2.26; 95% CI [2.00, 2.55]), and DSI (PR = 3.21; 95% CI [2.83, 3.63]) were associated with an increased prevalence of SCCs. CONCLUSIONS In this nationally representative survey of older Americans, DSI was associated with a threefold increased prevalence of SCCs. Although cross-sectional, these data underscore the importance of assessing multiple impairments as exposures when studying subjective cognition in older adults. SUPPLEMENTAL MATERIAL https://doi.org/10.23641/asha.21498711.
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Affiliation(s)
- Jason R. Smith
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD,Cochlear Center for Hearing and Public Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
| | - Joshua F. Betz
- Cochlear Center for Hearing and Public Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD,Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
| | - Emmanuel E. Garcia
- Cochlear Center for Hearing and Public Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
| | - Kening Jiang
- Cochlear Center for Hearing and Public Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
| | - Bonnielin K. Swenor
- Wilmer Eye Institute, Johns Hopkins University School of Medicine, Baltimore, MD,Disability Health Research Center, Johns Hopkins University, Baltimore, MD
| | - Nicholas S. Reed
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD,Cochlear Center for Hearing and Public Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD,Disability Health Research Center, Johns Hopkins University, Baltimore, MD
| | - Jennifer A. Deal
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD,Cochlear Center for Hearing and Public Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD,Disability Health Research Center, Johns Hopkins University, Baltimore, MD
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10
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Samson AD, Shen K, Grady CL, McIntosh AR. Exploration of salient risk factors involved in mild cognitive impairment. Eur J Neurosci 2022; 56:5368-5383. [PMID: 35388543 DOI: 10.1111/ejn.15665] [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: 10/31/2021] [Revised: 03/14/2022] [Accepted: 03/31/2022] [Indexed: 12/14/2022]
Abstract
Mild cognitive impairment (MCI) is a prevalent and complex condition among older adults that often progresses into Alzheimer's disease (AD). Although MCI affects individuals differently, there are specific indicators of risk commonly associated with the development of MCI. The present study explored the prevalence of seven established MCI risk categories within a large sample of older adults with and without MCI. We explored trends across the different diagnostic groups and extracted the most salient risk factors related to MCI using partial least squares. Neuropsychological risk categories showed the largest differences across groups, with the cognitively unimpaired groups outperforming the MCI groups on all measures. Apolipoprotein E4 (ApoE4) carriers were significantly more common among the more severe MCI group, whereas ApoE4 non-carriers were more common in the healthy controls. Participants with subjective and objective cognitive impairment were trending towards AD-like cerebral spinal fluid (CSF) biomarker levels. Increased age, being male and having fewer years of education were identified as important risk factors of MCI. Higher CSF tau levels were correlated with ApoE4 carrier status, age and a decrease in the ability to carry out daily activities across all diagnostic groups. Amyloid beta1-42 CSF concentration was positively correlated with cognitive and memory performance and non-ApoE4 carrier status regardless of diagnostic status. Unlike previous research, poor cardiovascular health or being female had no relation to MCI. Altogether, the results highlighted risk factors that were specific to persons with MCI, findings that will inform future research in healthy aging, MCI and AD.
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Affiliation(s)
- Alexandria D Samson
- Rotman Research Institute, Baycrest Health Sciences, Toronto, Ontario, Canada.,Department of Psychology, University of Toronto, Toronto, Ontario, Canada
| | - Kelly Shen
- Rotman Research Institute, Baycrest Health Sciences, Toronto, Ontario, Canada.,Institute for Neuroscience and Neurotechnology, Simon Fraser University, Burnaby, British Columbia, Canada
| | - Cheryl L Grady
- Rotman Research Institute, Baycrest Health Sciences, Toronto, Ontario, Canada.,Department of Psychology, University of Toronto, Toronto, Ontario, Canada.,Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada
| | - Anthony R McIntosh
- Rotman Research Institute, Baycrest Health Sciences, Toronto, Ontario, Canada.,Department of Psychology, University of Toronto, Toronto, Ontario, Canada.,Institute for Neuroscience and Neurotechnology, Simon Fraser University, Burnaby, British Columbia, Canada.,Department of Biomedical Physiology and Kinesiology, Simon Fraser University, Burnaby, British Columbia, Canada
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11
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Goodman ZT, Timpano KR, Llabre MM, Bainter SA. Revisiting the factor structure and construct validity of the Cognitive Failures Questionnaire. Psychol Assess 2022; 34:671-683. [PMID: 35377689 PMCID: PMC10044453 DOI: 10.1037/pas0001127] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
The Cognitive Failures Questionnaire (CFQ; Broadbent et al., 1982) is an established and commonly used self-report measure of cognitive errors experienced in daily life, capturing perceived difficulties with forgetfulness, distractibility, and thinking blunders. Despite frequent use in clinical research and established associations with psychological and neuropsychological disorders, the psychometric properties and construct validity of the CFQ remain ambiguous. This study sought to critically assess the factor structure and external validity of the CFQ. A sample of 839 people (62% female) between 16 and 85 years of age (M = 44.12, SD = 19.54) was drawn from the Nathan Kline Institute-Rockland Sample. Previously published CFQ factor structures were compared via confirmatory factor analysis and the unique variance explained by each factor was assessed. Next, we related the CFQ latent variables to neuropsychological tasks and symptom measures of depression, anxiety domains, inattention, hyperactivity, and impulsivity. A single-factor model was best supported by the data, indicating that the CFQ represents a global measure of subjective cognitive difficulties rather than errors in specific domains. Scores on the CFQ did not predict poorer performance on objective neuropsychological tasks but were related to a range of psychological distress symptoms. Subscales derived from previously published factor structures may provide misleading impressions of the construct validity of the CFQ and are not recommended for use in future research or clinical contexts. (PsycInfo Database Record (c) 2022 APA, all rights reserved).
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Affiliation(s)
| | - Kiara R. Timpano
- Department of Psychology, University of Miami, Coral Gables FL, USA
| | - Maria M. Llabre
- Department of Psychology, University of Miami, Coral Gables FL, USA
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12
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Capuano AW, Shah RC, Blanche P, Wilson RS, Barnes LL, Bennett DA, Arvanitakis Z. Derivation and validation of the Rapid Assessment of Dementia Risk (RADaR) for older adults. PLoS One 2022; 17:e0265379. [PMID: 35299231 PMCID: PMC8929636 DOI: 10.1371/journal.pone.0265379] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2021] [Accepted: 03/01/2022] [Indexed: 11/18/2022] Open
Abstract
BACKGROUND There is no practical dementia risk score in the clinical setting. OBJECTIVE To derive and validate a score obtained by a rapid and simple assessment, which guides primary care providers in predicting the risk of dementia among older adults. DESIGN A total of 4178 participants from three longitudinal cohorts (mean age at baseline = 76.8 [SD = 7.6] years), without baseline dementia, followed annually for a median of 10 years (IQR: 5 to16 years, Reverse Kaplan-Meier). PARTICIPANTS To derive the score, we used data from 1,780 participants from the Rush Memory and Aging Project (93% White). To validate the score, we used data from 1,299 participants from the Religious Order Study (92% White), and to assess generalizability, 679 participants from the Minority Aging Research Study (100% Black). MEASUREMENTS Clinician-based dementia diagnosis at any time after baseline and predictive variables associated with dementia risk that can be collected in a primary care setting: demographics, clinical indicators, medical history, memory complaints, cognitive and motor tests, and questions to assess functional disability, depressive symptoms, sleep, social isolation, and genetics (APOE e4 and AD polygenic risk score). RESULTS At baseline, age, memory complaint, the ability to handle finances, the recall of the month, recall of the room, and recall of three words, were associated with the cumulative incidence of dementia, in the derivation cohort. The discrimination of the RADaR (Rapid Risk Assessment of Dementia) was good for the derivation and external-validation cohorts (AUC3 years = 0.82-0.86), compared to the overall discrimination of age alone (AUC3 years = 0.73), a major risk factor for dementia. Adding genetic data did not increase discrimination. LIMITATIONS Participants were volunteers, may not represent the general population. CONCLUSIONS The RADaR, derived from community-dwelling older persons, is a brief and valid tool to predict dementia risk at 3 years in older White and Black persons.
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Affiliation(s)
- Ana W. Capuano
- Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, Illinois, United States of America
- Department of Neurological Sciences, Rush Medical College, Chicago, Illinois, United States of America
| | - Raj C. Shah
- Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, Illinois, United States of America
- Department of Internal Medicine, Rush Medical College, Chicago, Illinois, United States of America
| | - Paul Blanche
- Section of Biostatistics, Øster Farimagsgade, University of Copenhagen, Copenhagen, Denmark
- Denmark Department of Cardiology, Herlev and Gentofte University Hospital, University of Copenhagen, Hellerup, Denmark
| | - Robert S. Wilson
- Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, Illinois, United States of America
- Department of Neurological Sciences, Rush Medical College, Chicago, Illinois, United States of America
- Department of Psychiatry and Behavioral Sciences, Rush Medical College, Chicago, Illinois, United States of America
| | - Lisa L. Barnes
- Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, Illinois, United States of America
- Department of Neurological Sciences, Rush Medical College, Chicago, Illinois, United States of America
- Department of Psychiatry and Behavioral Sciences, Rush Medical College, Chicago, Illinois, United States of America
| | - David A. Bennett
- Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, Illinois, United States of America
- Department of Neurological Sciences, Rush Medical College, Chicago, Illinois, United States of America
| | - Zoe Arvanitakis
- Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, Illinois, United States of America
- Department of Neurological Sciences, Rush Medical College, Chicago, Illinois, United States of America
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13
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Liu Y, Yue L, Xiao S, Yang W, Shen D, Liu M. Assessing clinical progression from subjective cognitive decline to mild cognitive impairment with incomplete multi-modal neuroimages. Med Image Anal 2022; 75:102266. [PMID: 34700245 PMCID: PMC8678365 DOI: 10.1016/j.media.2021.102266] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2020] [Revised: 10/04/2021] [Accepted: 10/07/2021] [Indexed: 01/03/2023]
Abstract
Accurately assessing clinical progression from subjective cognitive decline (SCD) to mild cognitive impairment (MCI) is crucial for early intervention of pathological cognitive decline. Multi-modal neuroimaging data such as T1-weighted magnetic resonance imaging (MRI) and positron emission tomography (PET), help provide objective and supplementary disease biomarkers for computer-aided diagnosis of MCI. However, there are few studies dedicated to SCD progression prediction since subjects usually lack one or more imaging modalities. Besides, one usually has a limited number (e.g., tens) of SCD subjects, negatively affecting model robustness. To this end, we propose a Joint neuroimage Synthesis and Representation Learning (JSRL) framework for SCD conversion prediction using incomplete multi-modal neuroimages. The JSRL contains two components: 1) a generative adversarial network to synthesize missing images and generate multi-modal features, and 2) a classification network to fuse multi-modal features for SCD conversion prediction. The two components are incorporated into a joint learning framework by sharing the same features, encouraging effective fusion of multi-modal features for accurate prediction. A transfer learning strategy is employed in the proposed framework by leveraging model trained on the Alzheimer's Disease Neuroimaging Initiative (ADNI) with MRI and fluorodeoxyglucose PET from 863 subjects to both the Chinese Longitudinal Aging Study (CLAS) with only MRI from 76 SCD subjects and the Australian Imaging, Biomarkers and Lifestyle (AIBL) with MRI from 235 subjects. Experimental results suggest that the proposed JSRL yields superior performance in SCD and MCI conversion prediction and cross-database neuroimage synthesis, compared with several state-of-the-art methods.
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Affiliation(s)
- Yunbi Liu
- Department of Radiology and BRIC, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA,School of Biomedical Engineering, Southern Medical University, Guangzhou 510515, China
| | - Ling Yue
- Department of Geriatric Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200240, China,Corresponding authors: M. Liu () and L. Yue ()
| | - Shifu Xiao
- Department of Geriatric Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200240, China
| | - Wei Yang
- School of Biomedical Engineering, Southern Medical University, Guangzhou 510515, China
| | - Dinggang Shen
- Department of Radiology and BRIC, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Mingxia Liu
- Department of Radiology and BRIC, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA,Corresponding authors: M. Liu () and L. Yue ()
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14
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Youn H, Choi M, Lee S, Kim D, Suh S, Han CE, Jeong HG. Decreased Cortical Thickness and Local Gyrification in Individuals with Subjective Cognitive Impairment. CLINICAL PSYCHOPHARMACOLOGY AND NEUROSCIENCE 2021; 19:640-652. [PMID: 34690119 PMCID: PMC8553542 DOI: 10.9758/cpn.2021.19.4.640] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/22/2020] [Revised: 10/19/2020] [Accepted: 10/26/2020] [Indexed: 12/02/2022]
Abstract
Objective Subjective cognitive impairment (SCI) is associated with future cognitive decline. This study aimed to compare cortical thickness and local gyrification index (LGI) between individuals with SCI and normal control (NC) subjects. Methods Forty-seven participants (27 SCI and 20 NC) were recruited. All participants underwent brain magnetic resonance imaging scanning and were clinically assessed using the Consortium to Establish a Registry for Alzheimer’s Disease (CERAD) battery of tests. We compared cortical thickness and LGI between the two groups and analyzed correlations between cortical thickness/LGI and scores on CERAD protocol subtests in the SCI group for region of interests with significant between-group differences. Results Cortical thickness reduction in the left entorhinal, superior temporal, insular, rostral middle frontal, precentral, superior frontal, and supramarginal regions, and right supramarginal, precentral, insular, postcentral, and posterior cingulate regions was observed in the SCI compared to the NC group. Cortical thickness in these regions correlated with scores of constructional praxis, word list memory, word list recall, constructional recall, trail making test A, and verbal fluency under the CERAD protocol. Significantly decreased gyrification was observed in the left lingual gyrus of the SCI group. In addition, gyrification of this region was positively associated with scores of constructional praxis. Conclusion Our results may provide an additional reference to the notion that SCI may be associated with future cognitive impairment. This study may help clinicians to assess individuals with SCI who may progress to mild cognitive impairment and Alzheimer’s dementia.
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Affiliation(s)
- HyunChul Youn
- Department of Psychiatry, Soonchunhyang University Bucheon Hospital, Bucheon, Korea
| | - Myungwon Choi
- Department of Electronics and Information Engineering, Korea University, Sejong, Korea
| | - Suji Lee
- Department of Biomedical Sciences, Korea University Graduate School, Seoul, Korea
| | - Daegyeom Kim
- Department of Electronics and Information Engineering, Korea University, Sejong, Korea
| | - Sangil Suh
- Departments of Radiology, Korea University Guro Hospital, Korea University College of Medicine, Seoul, Korea
| | - Cheol E Han
- Department of Electronics and Information Engineering, Korea University, Sejong, Korea
| | - Hyun-Ghang Jeong
- Departments of Psychiatry, Korea University Guro Hospital, Korea University College of Medicine, Seoul, Korea.,Korea University Research Institute of Mental Health, Seoul, Korea
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15
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Lagomarsino VN, Pearse RV, Liu L, Hsieh YC, Fernandez MA, Vinton EA, Paull D, Felsky D, Tasaki S, Gaiteri C, Vardarajan B, Lee H, Muratore CR, Benoit CR, Chou V, Fancher SB, He A, Merchant JP, Duong DM, Martinez H, Zhou M, Bah F, Vicent MA, Stricker JMS, Xu J, Dammer EB, Levey AI, Chibnik LB, Menon V, Seyfried NT, De Jager PL, Noggle S, Selkoe DJ, Bennett DA, Young-Pearse TL. Stem cell-derived neurons reflect features of protein networks, neuropathology, and cognitive outcome of their aged human donors. Neuron 2021; 109:3402-3420.e9. [PMID: 34473944 DOI: 10.1016/j.neuron.2021.08.003] [Citation(s) in RCA: 67] [Impact Index Per Article: 22.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2021] [Revised: 06/30/2021] [Accepted: 08/05/2021] [Indexed: 11/26/2022]
Abstract
We have generated a controlled and manipulable resource that captures genetic risk for Alzheimer's disease: iPSC lines from 53 individuals coupled with RNA and proteomic profiling of both iPSC-derived neurons and brain tissue of the same individuals. Data collected for each person include genome sequencing, longitudinal cognitive scores, and quantitative neuropathology. The utility of this resource is exemplified here by analyses of neurons derived from these lines, revealing significant associations between specific Aβ and tau species and the levels of plaque and tangle deposition in the brain and, more importantly, with the trajectory of cognitive decline. Proteins and networks are identified that are associated with AD phenotypes in iPSC neurons, and relevant associations are validated in brain. The data presented establish this iPSC collection as a resource for investigating person-specific processes in the brain that can aid in identifying and validating molecular pathways underlying AD.
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Affiliation(s)
- Valentina N Lagomarsino
- Ann Romney Center for Neurologic Diseases, Department of Neurology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Richard V Pearse
- Ann Romney Center for Neurologic Diseases, Department of Neurology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Lei Liu
- Ann Romney Center for Neurologic Diseases, Department of Neurology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Yi-Chen Hsieh
- Ann Romney Center for Neurologic Diseases, Department of Neurology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Marty A Fernandez
- Ann Romney Center for Neurologic Diseases, Department of Neurology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Elizabeth A Vinton
- Ann Romney Center for Neurologic Diseases, Department of Neurology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Daniel Paull
- New York Stem Cell Foundation Research Institute, New York, NY, USA
| | - Daniel Felsky
- Krembil Centre for Neuroinformatics, Centre for Addiction and Mental Health, Toronto, ON, Canada; Department of Psychiatry and Institute of Medical Science, University of Toronto, Toronto, ON, Canada
| | - Shinya Tasaki
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA
| | - Chris Gaiteri
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA
| | - Badri Vardarajan
- Center for Translational and Computational Neuroimmunology, Department of Neurology and the Taub Institute for the Study of Alzheimer's Disease and the Aging Brain, Columbia University Irving Medical Center, New York, NY, USA
| | - Hyo Lee
- Ann Romney Center for Neurologic Diseases, Department of Neurology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Christina R Muratore
- Ann Romney Center for Neurologic Diseases, Department of Neurology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Courtney R Benoit
- Ann Romney Center for Neurologic Diseases, Department of Neurology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Vicky Chou
- Ann Romney Center for Neurologic Diseases, Department of Neurology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Seeley B Fancher
- Ann Romney Center for Neurologic Diseases, Department of Neurology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Amy He
- Ann Romney Center for Neurologic Diseases, Department of Neurology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Julie P Merchant
- Ann Romney Center for Neurologic Diseases, Department of Neurology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Duc M Duong
- Department of Biochemistry, Emory School of Medicine, Atlanta, GA, USA
| | - Hector Martinez
- New York Stem Cell Foundation Research Institute, New York, NY, USA
| | - Monica Zhou
- New York Stem Cell Foundation Research Institute, New York, NY, USA
| | - Fatmata Bah
- Ann Romney Center for Neurologic Diseases, Department of Neurology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Maria A Vicent
- Ann Romney Center for Neurologic Diseases, Department of Neurology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Jonathan M S Stricker
- Ann Romney Center for Neurologic Diseases, Department of Neurology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Jishu Xu
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA
| | - Eric B Dammer
- Department of Biochemistry, Emory School of Medicine, Atlanta, GA, USA
| | - Allan I Levey
- Department of Neurology, Emory School of Medicine, Atlanta, GA, USA
| | - Lori B Chibnik
- Department of Neurology, Massachusetts General Hospital, Boston, MA, USA; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Vilas Menon
- Center for Translational and Computational Neuroimmunology, Department of Neurology and the Taub Institute for the Study of Alzheimer's Disease and the Aging Brain, Columbia University Irving Medical Center, New York, NY, USA
| | - Nicholas T Seyfried
- Department of Biochemistry, Emory School of Medicine, Atlanta, GA, USA; Department of Neurology, Emory School of Medicine, Atlanta, GA, USA
| | - Philip L De Jager
- Center for Translational and Computational Neuroimmunology, Department of Neurology and the Taub Institute for the Study of Alzheimer's Disease and the Aging Brain, Columbia University Irving Medical Center, New York, NY, USA
| | - Scott Noggle
- New York Stem Cell Foundation Research Institute, New York, NY, USA
| | - Dennis J Selkoe
- Ann Romney Center for Neurologic Diseases, Department of Neurology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - David A Bennett
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA
| | - Tracy L Young-Pearse
- Ann Romney Center for Neurologic Diseases, Department of Neurology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA; Harvard Stem Cell Institute, Harvard University, Cambridge, MA, USA.
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16
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Comparative Performance and Neuropathologic Validation of the AD8 Dementia Screening Instrument. Alzheimer Dis Assoc Disord 2021; 34:112-117. [PMID: 31725472 DOI: 10.1097/wad.0000000000000362] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Abstract
BACKGROUND/OBJECTIVE The AD8 informant-based screening instrument has been validated with molecular biomarkers of Alzheimer disease (AD) but not with the gold standard of neuropathologic AD. The objective of this study was to validate the AD8 with neuropathologic AD and compare its predictive performance with that of the Mini-Mental State Examination and both participant-derived and informant-derived subjective memory complaint (SMC) regarding the participant. METHODS This longitudinal cohort study at the Knight Alzheimer Disease Research Center at Washington University included 230 participants, ages 50 to 91 years, who later had a neuropathologic examination. Four dementia screening instruments from their baseline assessment were evaluated: the AD8, Mini-Mental State Examination, participant SMC, and informant SMC. The primary outcome was a neuropathologic diagnosis of AD. RESULTS The average participant age at baseline was 80.4 years, 48% were female. All 4 dementia screening tests were predictive of neuropathologic AD. There was no significant difference in the predictive performance of the AD8 compared with the other instruments, but the AD8 had superior sensitivity and combined positive and negative predictive values. CONCLUSION The AD8 is a brief and sensitive screening instrument that may facilitate earlier and more accurate AD diagnosis in a variety of care settings.
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17
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Hill-Jarrett TG, Jones MK. Gendered racism and subjective cognitive complaints among older black women: The role of depression and coping. Clin Neuropsychol 2021; 36:479-502. [PMID: 33998956 DOI: 10.1080/13854046.2021.1923804] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
Abstract
Objective: Psychosocial stress is a risk factor for cognitive impairment and a potential pathway through which disparities in cognitive functioning emerge and disproportionately disadvantage older Black adults. Gendered racism is a psychosocial stressor that has negative implications for Black women's mental and physical health. This study tested the association between lifetime experiences of gendered racism and subjective cognitive complaints, taking into account the extent to which depressive symptoms and coping styles may explain this association. Method: Data from 75 older Black women (Mage = 62.43, SD = 6.23 years) were collected using an online survey assessing lifetime experiences of gendered racism, depressive symptoms, coping styles (i.e. spirituality, social support, problem-oriented/engagement, and disengagement), and subjective cognitive complaints (i.e. memory, attention, executive functioning, language, and overall cognition). The association between gendered racism and subjective cognitive complaints was examined with simple linear regression. Two mediation models examined depressive symptoms and coping styles as independent mediators of this association. Results: More gendered racism across the lifetime was associated with more subjective cognitive complaints separately through depressive symptoms and disengagement coping, but no other coping styles. Conclusion: Gendered racism is linked to increased subjective cognitive complaints via depressive symptoms and disengagement coping. The study highlights the importance of taking into account lived experiences (gendered racism) that are inextricably linked to social positioning (race and gender) within neuropsychology. Results evidence the negative impact of psychosocial stress, specifically gendered racism, on older Black women's subjective cognitive functioning, and illuminate avenues for clinical intervention and social justice advocacy.
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Affiliation(s)
| | - Martinque K Jones
- Department of Psychology, University of North Texas, Denton, TX, USA
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18
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Li CL, Chang HY, Shyu YIL, Stanaway FF. Relative Role of Physical Frailty and Poor Cognitive Performance in Progression to Dementia. J Am Med Dir Assoc 2021; 22:1558-1559. [PMID: 33775634 DOI: 10.1016/j.jamda.2021.02.022] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2021] [Revised: 02/08/2021] [Accepted: 02/09/2021] [Indexed: 11/17/2022]
Affiliation(s)
- Chia-Lin Li
- Department of Health Care Management, College of Management, Chang Gung University, Taoyuan, Taiwan.
| | - Hsing-Yi Chang
- Institute of Population Health Sciences, National Health Research Institutes, Miaoli, Taiwan
| | - Yea-Ing L Shyu
- School of Nursing, College of Medicine, Chang Gung University, Taoyuan, Taiwan; Healthy Aging Research Center, Chang Gung University, Taoyuan, Taiwan
| | - Fiona F Stanaway
- University of Sydney School of Public Health, Faculty of Medicine and Health, New South Wales, Australia
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19
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Künzi M, Joly-Burra E, Zuber S, Haas M, Tinello D, Da Silva Coelho C, Hering A, Ihle A, Laera G, Mikneviciute G, Stringhini S, Draganski B, Kliegel M, Ballhausen N. The Relationship between Life Course Socioeconomic Conditions and Objective and Subjective Memory in Older Age. Brain Sci 2021; 11:brainsci11010061. [PMID: 33418943 PMCID: PMC7825056 DOI: 10.3390/brainsci11010061] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2020] [Revised: 12/20/2020] [Accepted: 12/25/2020] [Indexed: 11/30/2022] Open
Abstract
While objective memory performance in older adults was primarily shown to be affected by education as indicator of life course socioeconomic conditions, other life course socioeconomic conditions seem to relate to subjective memory complaints. However, studies differ in which life course stages were investigated. Moreover, studies have explored these effects in an isolated way, but have not yet investigated their unique effect when considering several stages of the life course simultaneously. This study, therefore, examined the respective influence of socioeconomic conditions from childhood up to late-life on prospective memory (PM) performance as an objective indicator of everyday memory as well as on subjective memory complaints (SMC) in older age using structural equation modeling. Data came from two waves of the Vivre-Leben-Vivere aging study (n=993, Mage=80.56). The results indicate that only socioeconomic conditions in adulthood significantly predicted late-life PM performance. PM performance was also predicted by age and self-rated health. In contrast, SMC in older age were not predicted by socioeconomic conditions at any stage of the life course but were predicted by level of depression. In line with the cognitive reserve hypothesis, present results highlight the significance of education and occupation (adulthood socioeconomic conditions) for cognitive functioning in later life.
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Affiliation(s)
- Morgane Künzi
- Cognitive Aging Lab (CAL), Faculty of Psychology and Educational Sciences, University of Geneva, Boulevard du Pont d’Arve 28, 1205 Geneva, Switzerland; (E.J.-B.); (S.Z.); (M.H.); (D.T.); (C.D.S.C.); (G.L.); (G.M.); (M.K.)
- Centre for the Interdisciplinary Study of Gerontology and Vulnerability (CIGEV), University of Geneva, Boulevard du Pont d’Arve 28, 1205 Geneva, Switzerland; (A.H.); (A.I.); (N.B.)
- LIVES, Overcoming Vulnerability: Life Course Perspective, Swiss National Centre of Competence in Research, University of Lausanne, Géopolis Building, 1015 Lausanne, Switzerland
- Correspondence:
| | - Emilie Joly-Burra
- Cognitive Aging Lab (CAL), Faculty of Psychology and Educational Sciences, University of Geneva, Boulevard du Pont d’Arve 28, 1205 Geneva, Switzerland; (E.J.-B.); (S.Z.); (M.H.); (D.T.); (C.D.S.C.); (G.L.); (G.M.); (M.K.)
- Centre for the Interdisciplinary Study of Gerontology and Vulnerability (CIGEV), University of Geneva, Boulevard du Pont d’Arve 28, 1205 Geneva, Switzerland; (A.H.); (A.I.); (N.B.)
- LIVES, Overcoming Vulnerability: Life Course Perspective, Swiss National Centre of Competence in Research, University of Lausanne, Géopolis Building, 1015 Lausanne, Switzerland
| | - Sascha Zuber
- Cognitive Aging Lab (CAL), Faculty of Psychology and Educational Sciences, University of Geneva, Boulevard du Pont d’Arve 28, 1205 Geneva, Switzerland; (E.J.-B.); (S.Z.); (M.H.); (D.T.); (C.D.S.C.); (G.L.); (G.M.); (M.K.)
- Centre for the Interdisciplinary Study of Gerontology and Vulnerability (CIGEV), University of Geneva, Boulevard du Pont d’Arve 28, 1205 Geneva, Switzerland; (A.H.); (A.I.); (N.B.)
- LIVES, Overcoming Vulnerability: Life Course Perspective, Swiss National Centre of Competence in Research, University of Lausanne, Géopolis Building, 1015 Lausanne, Switzerland
| | - Maximilian Haas
- Cognitive Aging Lab (CAL), Faculty of Psychology and Educational Sciences, University of Geneva, Boulevard du Pont d’Arve 28, 1205 Geneva, Switzerland; (E.J.-B.); (S.Z.); (M.H.); (D.T.); (C.D.S.C.); (G.L.); (G.M.); (M.K.)
- Centre for the Interdisciplinary Study of Gerontology and Vulnerability (CIGEV), University of Geneva, Boulevard du Pont d’Arve 28, 1205 Geneva, Switzerland; (A.H.); (A.I.); (N.B.)
| | - Doriana Tinello
- Cognitive Aging Lab (CAL), Faculty of Psychology and Educational Sciences, University of Geneva, Boulevard du Pont d’Arve 28, 1205 Geneva, Switzerland; (E.J.-B.); (S.Z.); (M.H.); (D.T.); (C.D.S.C.); (G.L.); (G.M.); (M.K.)
- Centre for the Interdisciplinary Study of Gerontology and Vulnerability (CIGEV), University of Geneva, Boulevard du Pont d’Arve 28, 1205 Geneva, Switzerland; (A.H.); (A.I.); (N.B.)
| | - Chloé Da Silva Coelho
- Cognitive Aging Lab (CAL), Faculty of Psychology and Educational Sciences, University of Geneva, Boulevard du Pont d’Arve 28, 1205 Geneva, Switzerland; (E.J.-B.); (S.Z.); (M.H.); (D.T.); (C.D.S.C.); (G.L.); (G.M.); (M.K.)
- Centre for the Interdisciplinary Study of Gerontology and Vulnerability (CIGEV), University of Geneva, Boulevard du Pont d’Arve 28, 1205 Geneva, Switzerland; (A.H.); (A.I.); (N.B.)
| | - Alexandra Hering
- Centre for the Interdisciplinary Study of Gerontology and Vulnerability (CIGEV), University of Geneva, Boulevard du Pont d’Arve 28, 1205 Geneva, Switzerland; (A.H.); (A.I.); (N.B.)
- Department of Developmental Psychology, Tilburg School of Social and Behavioral Sciences, Tilburg University, Simon Building, Warandelaan 2, 5037 AB Tilburg, The Netherlands
| | - Andreas Ihle
- Centre for the Interdisciplinary Study of Gerontology and Vulnerability (CIGEV), University of Geneva, Boulevard du Pont d’Arve 28, 1205 Geneva, Switzerland; (A.H.); (A.I.); (N.B.)
- LIVES, Overcoming Vulnerability: Life Course Perspective, Swiss National Centre of Competence in Research, University of Lausanne, Géopolis Building, 1015 Lausanne, Switzerland
| | - Gianvito Laera
- Cognitive Aging Lab (CAL), Faculty of Psychology and Educational Sciences, University of Geneva, Boulevard du Pont d’Arve 28, 1205 Geneva, Switzerland; (E.J.-B.); (S.Z.); (M.H.); (D.T.); (C.D.S.C.); (G.L.); (G.M.); (M.K.)
- Centre for the Interdisciplinary Study of Gerontology and Vulnerability (CIGEV), University of Geneva, Boulevard du Pont d’Arve 28, 1205 Geneva, Switzerland; (A.H.); (A.I.); (N.B.)
- LIVES, Overcoming Vulnerability: Life Course Perspective, Swiss National Centre of Competence in Research, University of Lausanne, Géopolis Building, 1015 Lausanne, Switzerland
| | - Greta Mikneviciute
- Cognitive Aging Lab (CAL), Faculty of Psychology and Educational Sciences, University of Geneva, Boulevard du Pont d’Arve 28, 1205 Geneva, Switzerland; (E.J.-B.); (S.Z.); (M.H.); (D.T.); (C.D.S.C.); (G.L.); (G.M.); (M.K.)
- Centre for the Interdisciplinary Study of Gerontology and Vulnerability (CIGEV), University of Geneva, Boulevard du Pont d’Arve 28, 1205 Geneva, Switzerland; (A.H.); (A.I.); (N.B.)
- LIVES, Overcoming Vulnerability: Life Course Perspective, Swiss National Centre of Competence in Research, University of Lausanne, Géopolis Building, 1015 Lausanne, Switzerland
| | - Silvia Stringhini
- Center for Primary Care and Public Health (Unisanté), University of Lausanne, Rue du Bugnon 44, 1011 Lausanne, Switzerland;
- Unit of Population Epidemiology, Division of Primary Care, Geneva University Hospitals, Rue Gabrielle-Perret-Gentil 4, 1205 Geneva, Switzerland
| | - Bogdan Draganski
- Laboratory of Research in Neuroimaging (LREN), Department of Clinical Neuroscience, Lausanne University Hospital, University of Lausanne, Champ de l’Air Building, Rue du Bugnon 21, 1011 Lausanne, Switzerland;
- Neurology Department, Max Planck Institute for Human Cognitive and Brain Sciences, Stephanstrasse 1A, D-04103 Leipzig, Germany
| | - Matthias Kliegel
- Cognitive Aging Lab (CAL), Faculty of Psychology and Educational Sciences, University of Geneva, Boulevard du Pont d’Arve 28, 1205 Geneva, Switzerland; (E.J.-B.); (S.Z.); (M.H.); (D.T.); (C.D.S.C.); (G.L.); (G.M.); (M.K.)
- Centre for the Interdisciplinary Study of Gerontology and Vulnerability (CIGEV), University of Geneva, Boulevard du Pont d’Arve 28, 1205 Geneva, Switzerland; (A.H.); (A.I.); (N.B.)
- LIVES, Overcoming Vulnerability: Life Course Perspective, Swiss National Centre of Competence in Research, University of Lausanne, Géopolis Building, 1015 Lausanne, Switzerland
| | - Nicola Ballhausen
- Centre for the Interdisciplinary Study of Gerontology and Vulnerability (CIGEV), University of Geneva, Boulevard du Pont d’Arve 28, 1205 Geneva, Switzerland; (A.H.); (A.I.); (N.B.)
- Department of Developmental Psychology, Tilburg School of Social and Behavioral Sciences, Tilburg University, Simon Building, Warandelaan 2, 5037 AB Tilburg, The Netherlands
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20
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Hill NL, Mogle J, Bhargava S, Whitaker E, Bhang I, Capuano AW, Arvanitakis Z, Bennett DA, Barnes LL. Differences in the Associations Between Memory Complaints and Depressive Symptoms Among Black and White Older Adults. J Gerontol B Psychol Sci Soc Sci 2020; 75:783-791. [PMID: 30102393 PMCID: PMC7328028 DOI: 10.1093/geronb/gby091] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2018] [Indexed: 02/06/2023] Open
Abstract
OBJECTIVE To test whether race (specifically Black or White) moderates the relationship between memory complaints and depressive symptoms in cognitively normal older adults, and if these relationships vary by memory complaint characteristics. METHODS Data from Black (n = 551) and White (n = 1,158) cognitively intact participants (Mage = 77.1, SD = 7.5; 76.6% female) in the Minority Aging Research Study and the Rush Memory and Aging Project were used. Participants completed annual clinical evaluations, including the Center for Epidemiologic Studies Depression scale and two memory complaint questions, over periods of up to 18 years. Ordinal mixed effects models were used to examine within-person relationships between memory complaints and depressive symptoms over time, as well as whether race moderated these associations. RESULTS Reports of greater memory change over time were associated with more depressive symptoms for both Black and White older adults. However, reports of greater frequency of memory problems were related to depressive symptoms for Black older adults only. CONCLUSION Findings suggest differential associations between memory complaints and depressive symptoms in cognitively normal Black and White older adults and call for future research to examine the influence of race and related factors on memory complaints and depressive symptoms.
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Affiliation(s)
- Nikki L Hill
- College of Nursing, The Pennsylvania State University, University Park
| | - Jacqueline Mogle
- College of Nursing, The Pennsylvania State University, University Park
| | - Sakshi Bhargava
- College of Nursing, The Pennsylvania State University, University Park
| | - Emily Whitaker
- College of Nursing, The Pennsylvania State University, University Park
| | - Iris Bhang
- College of Nursing, The Pennsylvania State University, University Park
| | - Ana W Capuano
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, Illinois.,Department of Neurological Sciences, Rush University Medical Center, Chicago, Illinois
| | - Zoe Arvanitakis
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, Illinois.,Department of Neurological Sciences, Rush University Medical Center, Chicago, Illinois
| | - David A Bennett
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, Illinois.,Department of Neurological Sciences, Rush University Medical Center, Chicago, Illinois
| | - Lisa L Barnes
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, Illinois.,Department of Neurological Sciences, Rush University Medical Center, Chicago, Illinois.,Department of Behavioral Sciences, Rush University Medical Center, Chicago, Illinois
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21
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Bhang I, Mogle J, Hill N, Whitaker EB, Bhargava S. Examining the temporal associations between self-reported memory problems and depressive symptoms in older adults. Aging Ment Health 2020; 24:1864-1871. [PMID: 31379193 PMCID: PMC7000302 DOI: 10.1080/13607863.2019.1647135] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
Abstract
Objectives: Older adults commonly report problems with their memory which can elicit sadness and worry about future development of cognitive impairment. Conversely, ongoing depressive symptoms can negatively impact older adults' perceptions of their memory performance. The current study examined the longitudinal associations between self-reported memory problems and depressive symptoms to explore which symptom tends to appear first.Method: Two datasets from ongoing observational, longitudinal studies of aging (Memory and Aging Project; Minority Aging Research Study) were used for secondary analyses. Older adults (n = 1,724; Mage = 77.03; SD = 7.54; 76.80% female; 32.26% Black) completed up to 18 annual assessments of self-reported memory (two items: perceived decline in memory and frequency of memory problems) and depressive symptoms. Multilevel models were used to examine intra-individual variability and time-lagged relationships between self-reported memory and depressive symptoms.Results: Concurrently, self-reported memory problems and depressive symptoms were significantly related; at times when older adults reported poorer memory, they also reported more depressive symptoms, regardless of the type of memory self-report. Prospectively, perceived memory decline predicted future depressive symptoms, but depressive symptoms did not predict future reports of memory decline. Self-reported frequency of memory problems did not predict future depressive symptoms or vice versa.Conclusion: The current study's findings suggest a temporal relationship between perceived memory decline and depressive symptoms, such that perceived memory decline can lead to future depressive symptoms. These findings can inform future studies focused on developing a standardized assessment of self-reported memory that is separable from depressive symptoms.
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Affiliation(s)
- Iris Bhang
- Corresponding author: 310 Nursing Sciences Building, University Park, PA 16802, USA.
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22
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Yu L, Schneider JA, Kapasi A, Bennett DA, Boyle PA. Limbic-predominant Age-related TDP-43 Encephalopathy and Distinct Longitudinal Profiles of Domain-specific Literacy. Alzheimer Dis Assoc Disord 2020; 34:299-305. [PMID: 32452861 PMCID: PMC7679283 DOI: 10.1097/wad.0000000000000389] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
PURPOSE Emerging evidence suggests that limbic-predominant age-related TAR DNA-binding protein-43 (TDP-43) encephalopathy impacts domain-specific literacy, a complex ability not assessed in traditional cognitive evaluations. We examined longitudinal profiles of financial and health literacy in relation to limbic-predominant age-related TDP-43 encephalopathy neuropathologic change (LATE-NC). PARTICIPANTS A total of 275 community-dwelling older persons who had completed annual literacy assessments, died and undergone brain autopsy. METHODS Financial and health literacy was assessed using a 32-item instrument. Latent class mixed effects models identified groups of individuals with distinct longitudinal literacy profiles. Regression models examined group differences in 9 common age-related neuropathologies assessed via uniform structured neuropathologic evaluations. RESULTS Two distinct literacy profiles emerged. The first group (N=121, 44%) had higher level of literacy at baseline, slower decline and less variabilities over time. The second group (N=154, 56%) had lower level of literacy at baseline, faster decline, and greater variabilities. Individuals from the latter group were older, with fewer years of education and more female. They also had higher burdens of Alzheimer disease and LATE-NC. The group association with Alzheimer disease was attenuated and no longer significant after controlling for cognition. By contrast, the association with LATE-NC persisted. CONCLUSION Limbic-predominant age-related TDP-43 encephalopathy is uniquely associated with distinct longitudinal profiles of financial and health literacy in old age.
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Affiliation(s)
- Lei Yu
- Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, IL, USA
- Department of Neurological Sciences, Rush University Medical Center, Chicago, IL, USA
| | - Julie A. Schneider
- Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, IL, USA
- Department of Neurological Sciences, Rush University Medical Center, Chicago, IL, USA
- Department of Pathology, Rush University Medical Center, Chicago, IL, USA
| | - Alifiya Kapasi
- Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, IL, USA
- Department of Pathology, Rush University Medical Center, Chicago, IL, USA
| | - David A. Bennett
- Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, IL, USA
- Department of Neurological Sciences, Rush University Medical Center, Chicago, IL, USA
| | - Patricia A. Boyle
- Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, IL, USA
- Department of Behavioral Sciences, Rush University Medical Center, Chicago, IL, USA
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23
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Kim J, Kim M, Yoon JH. The tip-of-the-tongue phenomenon in older adults with subjective memory complaints. PLoS One 2020; 15:e0239327. [PMID: 32946498 PMCID: PMC7500633 DOI: 10.1371/journal.pone.0239327] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2020] [Accepted: 09/04/2020] [Indexed: 11/18/2022] Open
Abstract
In older adults with subjective memory complaints (SMCs), featuring a decline in memory but not exhibiting problems during medical examinations and objective memory tests, the weak links between nodes evident in the word retrieval process can be a primary factor for predicting mild cognitive impairment and dementia. This study examined the frequency of the “Tip-of-the-Tongue” (ToT) phenomenon according to age and subjective memory complaints of older adults, and identified differences in the resolution method using sequential cues. A celebrity naming task was performed on older adults (aged 50 to 79) with SMCs (n = 30) and without SMCs (n = 30), comparing the frequency of the ToT phenomenon and in resolution methods. We found that, even if our subjects with SMCs obtained normal results in the objective neuropsychology test, they experienced a significantly higher frequency of the ToT phenomenon than those without SMCs. In addition, subjects with SMCs showed a significantly lower rate of resolution, both spontaneous and following a syllabic cue, compared to those without SMCs. SMCs can be a very early marker of degenerative diseases causing cognitive dysfunction, and thus the selection of appropriate tools for early detection of SMCs is important. The proper naming task may sensitively detect subclinical symptoms of SMCs in subjects who are not classified as patients with cognitive impairments on general neuropsychological test. In addition, this task can identify weak connections between semantic and phonological nodes due to changes in the neural region of older adults with SMCs.
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Affiliation(s)
- JungWan Kim
- Department of Speech and Language Pathology, College of Rehabilitation Sciences, Daegu University, Gyeongsan, Republic of Korea
| | - Minyoung Kim
- Division of Speech Pathology, Lee Rehabilitation Clinic, Incheon, Republic of Korea
| | - Ji Hye Yoon
- Division of Speech Pathology and Audiology, College of Natural Sciences, Hallym University, Chuncheon, Republic of Korea
- Research Institute of Audiology and Speech Pathology, Hallym University, Chuncheon, Republic of Korea
- * E-mail:
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24
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McDonough IM, McDougall GJ, LaRocca M, Dalmida SG, Arheart KL. Refining the metamemory in adulthood questionnaire: a 20-item version of change and capacity designed for research and clinical settings. Aging Ment Health 2020; 24:1054-1063. [PMID: 30957531 PMCID: PMC6779492 DOI: 10.1080/13607863.2019.1594160] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
Abstract
Objective: Subjective memory concerns (SMCs) might be an early indicator of future cognitive decline and conversion to dementia. However, a rich history of mixed findings, moderating factors, and heterogenous methods preclude the usefulness of SMCs in both research and clinical settings. The present study aimed to review some of the factors that might cause mixed results and propose a revised version the Metamemory in Adulthood (MIA) Questionnaire that can be easily implemented to more consistently derive estimates of SMCs.Method: We used factor analysis and regression to investigate the utility of a revised 20-item version of the MIA Change and Capacity subscales.Results: Based on two samples of older adults (N = 382 and N = 221), the revised scale showed strong internal reliability and a two-factor structure. Regression analyses supported the incremental validity of the MIA-Revised Change scale in predicting performance on the Rivermead Behavioural Memory Test.Conclusions: By establishing a revised version of a well-known and previously validated questionnaire to assess SMCs, research and clinics can better implement a psychometrically sound measure quickly and easily. Moreover, the revised Change and Capacity subscales provide sufficient divergence to be sensitive to different facets of SMCs in a community dwelling older adult sample.
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Affiliation(s)
- Ian M. McDonough
- Department of Psychology, The University of Alabama, Tuscaloosa, Alabama, USA,Alabama Research Institute on Aging, The University of Alabama, Tuscaloosa, Alabama, USA
| | | | - Michael LaRocca
- VA Palo Alto Health Care System, War Related Illness & Injury Study Center, Palo Alto, California, USA
| | - Safiya G. Dalmida
- College of Nursing, The University of Alabama, Tuscaloosa, Alabama, USA
| | - Kristopher L. Arheart
- Department of Public Health Sciences, University of Miami, Miller School of Medicine, Miami, Florida, USA
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DeCarli C, Villeneuve S, Maillard P, Harvey D, Singh B, Carmichael O, Fletcher E, Olichney J, Farias S, Jagust W, Reed B, Mungas D. Vascular Burden Score Impacts Cognition Independent of Amyloid PET and MRI Measures of Alzheimer's Disease and Vascular Brain Injury. J Alzheimers Dis 2020; 68:187-196. [PMID: 30775991 DOI: 10.3233/jad-180965] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/28/2023]
Abstract
BACKGROUND/OBJECTIVE To determine the impact of vascular burden on rates of decline in episodic memory and executive function. We hypothesize that greater vascular burden will have an additive negative impact on cognition after accounting for baseline cognitive impairment, positron emission tomography (PET) amyloid burden, and magnetic resonance imaging (MRI) measures. METHODS Individuals were followed an average of 5 years with serial cognitive assessments. Predictor variables include vascular burden score (VBS), quantitative brain MRI assessment, and amyloid imaging. Subjects consisted of 65 individuals, 53% of whom were male, aged 73.2±7.2 years on average with an average of 15.5±3.3 years of educational achievement. RESULTS Baseline cognitive impairment was significantly associated poorer episodic memory (p < 0.0001), smaller hippocampal volume (p < 0.0001), smaller brain volume (p = 0.0026), and greater global Pittsburg Imaging Compound B (PiB) index (p = 0.0008). Greater amyloid burden was associated with greater decline in episodic memory over time (β= -0.20±0.07, p < 0.005). VBS was significantly associated with the level of executive function performance (β= -0.14±0.05, p < 0.005) and there was a significant negative interaction between VBS, cognitive impairment, and PiB index (β= -0.065±0.03, p = 0.03). CONCLUSIONS Our results find a significant influence of VBS independent of standard MRI measures and cerebral amyloid burden on executive function. In addition, VBS reduced the amount of cerebral amyloid burden needed to result in cognitive impairment. We conclude that the systemic effects of vascular disease as reflected by the VBS independently influence cognitive ability.
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Affiliation(s)
- Charles DeCarli
- UC Davis Department of Neurology and Center for Neuroscience, Davis, CA, USA
| | - Sylvia Villeneuve
- Douglas Mental Health University Institute, McGill University, Montreal, Canada
| | - Pauline Maillard
- UC Davis Department of Neurology and Center for Neuroscience, Davis, CA, USA
| | - Danielle Harvey
- Division of Biostatistics, School of Medicine, University of California at Davis, Davis, CA, USA
| | - Baljeet Singh
- UC Davis Department of Neurology and Center for Neuroscience, Davis, CA, USA
| | - Owen Carmichael
- Pennington Biomedical Research Center, Louisiana State University, Baton Rouge, LA, USA
| | - Evan Fletcher
- UC Davis Department of Neurology and Center for Neuroscience, Davis, CA, USA
| | - John Olichney
- UC Davis Department of Neurology and Center for Neuroscience, Davis, CA, USA
| | - Sarah Farias
- UC Davis Department of Neurology and Center for Neuroscience, Davis, CA, USA
| | - William Jagust
- Helen Wills Neuroscience Institute, University of California, Berkeley, Berkeley CA, USA
| | - Bruce Reed
- Center for Scientific Review, Division of Neuroscience, Development and Aging, NIH, Bethesda, MD, USA
| | - Dan Mungas
- UC Davis Department of Neurology and Center for Neuroscience, Davis, CA, USA
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26
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Zajac L, Koo BB, Tripodis Y, Mian A, Steinberg E, Mez J, Alosco ML, Cervantes-Arslanian A, Stern R, Killiany R. Hippocampal Resting-State Functional Connectivity Patterns are More Closely Associated with Severity of Subjective Memory Decline than Whole Hippocampal and Subfield Volumes. Cereb Cortex Commun 2020; 1:tgaa019. [PMID: 32905008 PMCID: PMC7463163 DOI: 10.1093/texcom/tgaa019] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2020] [Revised: 05/18/2020] [Accepted: 05/18/2020] [Indexed: 12/02/2022] Open
Abstract
The goal of this study was to examine whether hippocampal volume or resting-state functional connectivity (rsFC) patterns are associated with subjective memory decline (SMD) in cognitively normal aged adults. Magnetic resonance imaging data from 53 participants (mean age: 71.9 years) of the Boston University Alzheimer’s Disease Center registry were used in this cross-sectional study. Separate analyses treating SMD as a binary and continuous variable were performed. Subfield volumes were generated using FreeSurfer v6.0, and rsFC strength between the head and body of the hippocampus and the rest of the brain was calculated. Decreased left whole hippocampal volume and weaker rsFC strength between the right body of the hippocampus and the default mode network (DMN) were found in SMD+. Cognitive Change Index score was not correlated with volumetric measures but was inversely correlated with rsFC strength between the right body of the hippocampus and 6 brain networks, including the DMN, task control, and attentional networks. These findings suggest that hippocampal rsFC patterns reflect the current state of SMD in cognitively normal adults and may reflect subtle memory changes that standard neuropsychological tests are unable to capture.
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Affiliation(s)
- Lauren Zajac
- Department of Anatomy & Neurobiology, Boston University School of Medicine, Boston, MA 02118, USA
| | - Bang-Bon Koo
- Department of Anatomy & Neurobiology, Boston University School of Medicine, Boston, MA 02118, USA
| | - Yorghos Tripodis
- Boston University Alzheimer's Disease Center, Boston University School of Medicine, Boston, MA 02118, USA
| | - Asim Mian
- Department of Radiology, Boston University School of Medicine, Boston, MA 02118, USA
| | - Eric Steinberg
- Boston University Alzheimer's Disease Center, Boston University School of Medicine, Boston, MA 02118, USA
| | - Jesse Mez
- Boston University Alzheimer's Disease Center, Boston University School of Medicine, Boston, MA 02118, USA
| | - Michael L Alosco
- Boston University Alzheimer's Disease Center, Boston University School of Medicine, Boston, MA 02118, USA
| | | | - Robert Stern
- Department of Anatomy & Neurobiology, Boston University School of Medicine, Boston, MA 02118, USA
| | - Ronald Killiany
- Department of Anatomy & Neurobiology, Boston University School of Medicine, Boston, MA 02118, USA
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The Alzheimer's Prevention Initiative Composite Cognitive Test: a practical measure for tracking cognitive decline in preclinical Alzheimer's disease. ALZHEIMERS RESEARCH & THERAPY 2020; 12:66. [PMID: 32460855 PMCID: PMC7254761 DOI: 10.1186/s13195-020-00633-2] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/02/2019] [Accepted: 05/18/2020] [Indexed: 12/21/2022]
Abstract
Background There is growing interest in identifying sensitive composite cognitive tests to serve as primary endpoints in preclinical Alzheimer’s disease (AD) treatment trials. We reported previously a composite cognitive test score sensitive to tracking preclinical AD decline up to 5 years prior to clinical diagnosis. Here we expand upon and refine this work, empirically deriving a composite cognitive test score sensitive to tracking preclinical AD decline up to 11 years prior to diagnosis and suitable for use as a primary endpoint in a preclinical AD trial. Methods This study used a longitudinal approach to maximize sensitivity to tracking progressive cognitive decline in people who progressed to the clinical stages of AD (n = 868) compared to those who remained cognitively unimpaired during the same time period (n = 989), thereby correcting for normal aging and practice effects. Specifically, we developed the Alzheimer’s Prevention Initiative Preclinical Composite Cognitive test (APCC) to measure very early longitudinal cognitive decline in older adults with preclinical AD. Data from three cohorts from Rush University were analyzed using a partial least squares (PLS) regression model to identify optimal composites within different time periods prior to diagnosis, up to 11 years prior to diagnosis. The mean-to-standard deviation ratio (MSDRs) is an indicator of sensitivity to change and was used to inform the final calculation of the composite score. Results The optimal composite, the APCC, is calculated: 0.26*Symbol Digit Modalities + 2.24*MMSE Orientation to Time + 2.14*MMSE Orientation to Place + 0.53*Logical Memory Delayed Recall + 1.36* Word List-Delayed Recall + 0.68*Judgment of Line Orientation + 1.39*Raven’s Progressive Matrices Matrices (subset of 9 items from A and B). The MSDR of the APCC in a population of preclinical AD individuals who eventually progress to cognitive impairment, compared to those who remained cognitively unimpaired during the same time period, was − 1.10 over 1 year. Conclusions The APCC is an empirically derived composite cognitive test score with high face validity that is sensitive to preclinical AD decline up to 11 years prior to diagnosis of the clinical stages of AD. The components of the APCC are supported by theoretical understanding of cognitive decline that occurs during preclinical AD. The APCC was used as a primary outcome in the API Generation Program trials.
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28
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John SE, Evans SA, Hanfelt J, Loring DW, Goldstein FC. Subjective Memory Complaints in White and African American Participants. J Geriatr Psychiatry Neurol 2020; 33:135-143. [PMID: 31409180 PMCID: PMC7015770 DOI: 10.1177/0891988719868305] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
OBJECTIVE Subjective memory complaints (SMCs) are associated with mild cognitive impairment and dementia but are understudied in African Americans (AAs). We compared SMC endorsement in white and AA participants and evaluated predictors of diagnostic progression. METHODS Initial visit variables, including SMC and memory performance, were compared within a cognitively normal race-matched sample of white and AA participants (Ntotal = 912; 456each race) to assess the presence and predictors of SMC, the predictors of future diagnostic progression, and the change in memory performance over time. RESULTS More white (32.9%) than AA (24.3%) participants reported SMC (P < .01, ϕ = -.10). Subjective memory complaint was predicted by memory performance (B = -0.03, standard error [SE] = 0.013, odds ratio [OR] = .968, P < .05) and race (B = -0.99, SE = 0.080, OR = .373, P < .001). Subjective memory complaints and memory performance were associated with progression, χ2 (3, n = 912) = 102.37, P < .001. African American race (-2.05 ± 0.24 SE) and SMC (-0.45 ± 0.21 SE) were associated with worse memory performance at baseline and over time, χ2(3) = 13.54, P < .01. CONCLUSIONS In contrast to previous research, our study found that SMC is associated with diagnostic progression and objective memory declines in both white and AA participants.
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Affiliation(s)
- Samantha E. John
- Department of Brain Health, University of Nevada, Las Vegas, Las Vegas, NV, USA,Population Health & Health Equity Initiative, University of Nevada, Las Vegas, Las Vegas, NV, USA,Corresponding author. (S.E.J.), 4505 S. Maryland Pkwy, MSM-407, Las Vegas, NV 89154, , Tel: (702) 895-4580
| | - Sarah A. Evans
- Department of Psychology, Marquette University, Milwaukee, WI, USA
| | - John Hanfelt
- Emory Goizueta Alzheimer’s Disease Research Center, Atlanta, GA, USA,Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - David W. Loring
- Department of Neurology, Emory University School of Medicine, Atlanta, GA, USA
| | - Felicia C. Goldstein
- Emory Goizueta Alzheimer’s Disease Research Center, Atlanta, GA, USA,Department of Neurology, Emory University School of Medicine, Atlanta, GA, USA
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Rodda J, Dannhauser T, Cutinha D, Shergill S, Walker Z. Subjective cognitive impairment: Functional MRI during a divided attention task. Eur Psychiatry 2020; 26:457-62. [DOI: 10.1016/j.eurpsy.2010.07.003] [Citation(s) in RCA: 57] [Impact Index Per Article: 14.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/31/2009] [Revised: 06/25/2010] [Accepted: 07/01/2010] [Indexed: 10/19/2022] Open
Abstract
AbstractBackgroundIndividuals with subjective cognitive impairment (SCI) have persistent memory complaints but normal neurocognitive performance. For some, this may represent a pre-mild cognitive impairment (MCI) stage of Alzheimer's disease (AD). Given that attentional deficits and associated brain activation changes are present early in the course of AD, we aimed to determine whether SCI is associated with brain activation changes during attentional processing.MethodsEleven SCI subjects and 10 controls completed a divided attention task during functional magnetic resonance imaging.ResultsSCI and control groups did not differ in sociodemographic, neurocognitive or behavioural measures. When group activation during the divided attention task was compared, the SCI group demonstrated increased activation in left medial temporal lobe, bilateral thalamus, posterior cingulate and caudate.ConclusionThis pattern of increased activation is similar to the pattern of decreased activation reported during divided attention in AD and may indicate compensatory changes. These findings suggest the presence of early functional changes in SCI; longitudinal studies will help to further elucidate the relationship between SCI and AD.
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Perception and attitude of the general population towards Alzheimer's disease in Jeddah, Saudi Arabia. Acta Neurol Belg 2020; 120:313-320. [PMID: 30421351 DOI: 10.1007/s13760-018-1040-7] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2018] [Accepted: 10/30/2018] [Indexed: 10/27/2022]
Abstract
There are many conflicting beliefs about Alzheimer's disease in the general population. Conducting a study on public awareness, attitude, and knowledge towards Alzheimer's disease is useful in decreasing discrimination and stigmatization. This study aims to determine the public perception and attitude towards Alzheimer's disease in Jeddah, Saudi Arabia. In addition, we aim to identify the religious and cultural beliefs about the causes and treatment of Alzheimer's disease in Saudi Arabia. This is a cross-sectional study that was conducted in malls and public places in Jeddah, Saudi Arabia. The instrument used in this study was a self-administered questionnaire that consists of 40 items. A total of 32 questions were included into the survey, which was subdivided into four sources of information that include general information about Alzheimer's disease, information about Alzheimer's disease in the society, general information about persons with Alzheimer's disease, and information about the care of persons with Alzheimer's disease. In addition, eight questions were used to collect information about the demographic profile of the participants. A total of 1698 individuals participated in the study. 1511 participants (89%) had heard about Alzheimer's disease before. Around 46% of the participants think that the cause of Alzheimer's disease is a brain disease and 44.9% think that is a normal part of aging. Approximately, 30% of the participants believe that Alzheimer's disease is treated with medications and 24.6% believe that there is no treatment. Around 30% of the participant think that the society treats persons with Alzheimer's disease with stigmatization. More than half of the participants (56.2%) think that persons with Alzheimer's disease should not be admitted to the nursing home. The results of the present study suggest that the perception of the general public of Alzheimer's disease is lagging behind. Many wrong beliefs were identified in the general public regarding the causes and management. The findings of our study suggest that more information about Alzheimer's disease would be valuable and beneficial for everyone. Awareness campaigns and public education are needed to increase the knowledge of the general public regarding several aspects of the disease including prevention, causes, and management. Dissemination of information about Alzheimer's disease should be of high priority. Increased awareness will lead to earlier detection of Alzheimer's disease and other dementia cases and appropriate care and management of those persons.
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Jiang L, Lin H, Alzheimer’s Disease Neuroimaging Initiative, Chen Y. Sex difference in the association of APOE4 with cerebral glucose metabolism in older adults reporting significant memory concern. Neurosci Lett 2020; 722:134824. [DOI: 10.1016/j.neulet.2020.134824] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2019] [Revised: 01/07/2020] [Accepted: 02/05/2020] [Indexed: 01/06/2023]
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Huo Z, Yu L, Yang J, Zhu Y, Bennett DA, Zhao J. Brain and blood metabolome for Alzheimer's dementia: findings from a targeted metabolomics analysis. Neurobiol Aging 2020; 86:123-133. [PMID: 31785839 PMCID: PMC6995427 DOI: 10.1016/j.neurobiolaging.2019.10.014] [Citation(s) in RCA: 88] [Impact Index Per Article: 22.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2019] [Revised: 10/22/2019] [Accepted: 10/24/2019] [Indexed: 11/26/2022]
Abstract
The development of Alzheimer's dementia (AD) accompanies both central and peripheral metabolic disturbance, but the metabolic basis underlying AD and metabolic markers predictive of AD risk remain to be determined. It is also unclear whether the metabolic changes in the peripheral blood and brain are overlapping in relation to AD. The present study addresses these questions by targeted metabolomics in both antemortem blood and postmortem brain samples in 2 community-based longitudinal cohorts of aging and dementia. We found that higher serum levels of 3 acylcarnitines, including decanoylcarnitine (C10), pimelylcarnitine (C7-DC), and tetradecadienylcarnitine (C14:2), significantly predict a lower risk of incident AD (composite hazard ratio = 0.368, 95% CI [0.207, 0.653]) after an average of 4.5-year follow-up, independent of age, sex, and education. In addition, baseline serum levels of ten glycerophospholipids, one amino acid, and 5 acylcarnitines predict the longitudinal change in cognitive functions. Moreover, 28 brain metabolites were associated with AD phenotypes. Of the putative metabolites identified in the serum and brain, 4 metabolites (3 glycerophospholipids [PC aa C30:0, PC ae C34:0, PC ae C36:1] and 1 acylcarnitine [C14:2]) were present in both the postmortem brain and antemortem blood, but only one metabolite (C14:2) was associated with AD in the same direction (i.e., protective). Partial correlation and network analyses suggest a potential tissue-specific regulation of metabolism, although other alternatives exist. Together, we identified significant associations of both central and peripheral metabolites with AD phenotypes, but there seems to be little overlap between the 2 tissues.
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Affiliation(s)
- Zhiguang Huo
- Department of Biostatistics, University of Florida, Gainesville, FL, USA
| | - Lei Yu
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA
| | - Jingyun Yang
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA
| | - Yun Zhu
- Department of Epidemiology, University of Florida, Gainesville, FL, USA
| | - David A Bennett
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA
| | - Jinying Zhao
- Department of Epidemiology, University of Florida, Gainesville, FL, USA.
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Satizabal CL, Adams HHH, Hibar DP, White CC, Knol MJ, Stein JL, Scholz M, Sargurupremraj M, Jahanshad N, Roshchupkin GV, Smith AV, Bis JC, Jian X, Luciano M, Hofer E, Teumer A, van der Lee SJ, Yang J, Yanek LR, Lee TV, Li S, Hu Y, Koh JY, Eicher JD, Desrivières S, Arias-Vasquez A, Chauhan G, Athanasiu L, Rentería ME, Kim S, Hoehn D, Armstrong NJ, Chen Q, Holmes AJ, den Braber A, Kloszewska I, Andersson M, Espeseth T, Grimm O, Abramovic L, Alhusaini S, Milaneschi Y, Papmeyer M, Axelsson T, Ehrlich S, Roiz-Santiañez R, Kraemer B, Håberg AK, Jones HJ, Pike GB, Stein DJ, Stevens A, Bralten J, Vernooij MW, Harris TB, Filippi I, Witte AV, Guadalupe T, Wittfeld K, Mosley TH, Becker JT, Doan NT, Hagenaars SP, Saba Y, Cuellar-Partida G, Amin N, Hilal S, Nho K, Mirza-Schreiber N, Arfanakis K, Becker DM, Ames D, Goldman AL, Lee PH, Boomsma DI, Lovestone S, Giddaluru S, Le Hellard S, Mattheisen M, Bohlken MM, Kasperaviciute D, Schmaal L, Lawrie SM, Agartz I, Walton E, Tordesillas-Gutierrez D, Davies GE, Shin J, Ipser JC, Vinke LN, Hoogman M, Jia T, Burkhardt R, Klein M, Crivello F, Janowitz D, Carmichael O, Haukvik UK, Aribisala BS, Schmidt H, Strike LT, Cheng CY, Risacher SL, Pütz B, Fleischman DA, Assareh AA, Mattay VS, Buckner RL, Mecocci P, Dale AM, Cichon S, Boks MP, Matarin M, Penninx BWJH, Calhoun VD, Chakravarty MM, Marquand AF, Macare C, Kharabian Masouleh S, Oosterlaan J, Amouyel P, Hegenscheid K, Rotter JI, Schork AJ, Liewald DCM, de Zubicaray GI, Wong TY, Shen L, Sämann PG, Brodaty H, Roffman JL, de Geus EJC, Tsolaki M, Erk S, van Eijk KR, Cavalleri GL, van der Wee NJA, McIntosh AM, Gollub RL, Bulayeva KB, Bernard M, Richards JS, Himali JJ, Loeffler M, Rommelse N, Hoffmann W, Westlye LT, Valdés Hernández MC, Hansell NK, van Erp TGM, Wolf C, Kwok JBJ, Vellas B, Heinz A, Olde Loohuis LM, Delanty N, Ho BC, Ching CRK, Shumskaya E, Singh B, Hofman A, van der Meer D, Homuth G, Psaty BM, Bastin ME, Montgomery GW, Foroud TM, Reppermund S, Hottenga JJ, Simmons A, Meyer-Lindenberg A, Cahn W, Whelan CD, van Donkelaar MMJ, Yang Q, Hosten N, Green RC, Thalamuthu A, Mohnke S, Hulshoff Pol HE, Lin H, Jack CR, Schofield PR, Mühleisen TW, Maillard P, Potkin SG, Wen W, Fletcher E, Toga AW, Gruber O, Huentelman M, Davey Smith G, Launer LJ, Nyberg L, Jönsson EG, Crespo-Facorro B, Koen N, Greve DN, Uitterlinden AG, Weinberger DR, Steen VM, Fedko IO, Groenewold NA, Niessen WJ, Toro R, Tzourio C, Longstreth WT, Ikram MK, Smoller JW, van Tol MJ, Sussmann JE, Paus T, Lemaître H, Schroeter ML, Mazoyer B, Andreassen OA, Holsboer F, Depondt C, Veltman DJ, Turner JA, Pausova Z, Schumann G, van Rooij D, Djurovic S, Deary IJ, McMahon KL, Müller-Myhsok B, Brouwer RM, Soininen H, Pandolfo M, Wassink TH, Cheung JW, Wolfers T, Martinot JL, Zwiers MP, Nauck M, Melle I, Martin NG, Kanai R, Westman E, Kahn RS, Sisodiya SM, White T, Saremi A, van Bokhoven H, Brunner HG, Völzke H, Wright MJ, van 't Ent D, Nöthen MM, Ophoff RA, Buitelaar JK, Fernández G, Sachdev PS, Rietschel M, van Haren NEM, Fisher SE, Beiser AS, Francks C, Saykin AJ, Mather KA, Romanczuk-Seiferth N, Hartman CA, DeStefano AL, Heslenfeld DJ, Weiner MW, Walter H, Hoekstra PJ, Nyquist PA, Franke B, Bennett DA, Grabe HJ, Johnson AD, Chen C, van Duijn CM, Lopez OL, Fornage M, Wardlaw JM, Schmidt R, DeCarli C, De Jager PL, Villringer A, Debette S, Gudnason V, Medland SE, Shulman JM, Thompson PM, Seshadri S, Ikram MA. Genetic architecture of subcortical brain structures in 38,851 individuals. Nat Genet 2019; 51:1624-1636. [PMID: 31636452 PMCID: PMC7055269 DOI: 10.1038/s41588-019-0511-y] [Citation(s) in RCA: 156] [Impact Index Per Article: 31.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2017] [Accepted: 09/05/2019] [Indexed: 12/15/2022]
Abstract
Subcortical brain structures are integral to motion, consciousness, emotions and learning. We identified common genetic variation related to the volumes of the nucleus accumbens, amygdala, brainstem, caudate nucleus, globus pallidus, putamen and thalamus, using genome-wide association analyses in almost 40,000 individuals from CHARGE, ENIGMA and UK Biobank. We show that variability in subcortical volumes is heritable, and identify 48 significantly associated loci (40 novel at the time of analysis). Annotation of these loci by utilizing gene expression, methylation and neuropathological data identified 199 genes putatively implicated in neurodevelopment, synaptic signaling, axonal transport, apoptosis, inflammation/infection and susceptibility to neurological disorders. This set of genes is significantly enriched for Drosophila orthologs associated with neurodevelopmental phenotypes, suggesting evolutionarily conserved mechanisms. Our findings uncover novel biology and potential drug targets underlying brain development and disease.
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Affiliation(s)
- Claudia L Satizabal
- Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases, UT Health San Antonio, San Antonio, TX, USA.
- Department of Population Health Sciences, UT Health San Antonio, San Antonio, TX, USA.
- The Framingham Heart Study, Framingham, MA, USA.
- Department of Neurology, Boston University School of Medicine, Boston, MA, USA.
| | - Hieab H H Adams
- Department of Epidemiology, Erasmus MC, Rotterdam, the Netherlands
- Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, the Netherlands
- Department of Clinical Genetics, Erasmus MC, Rotterdam, the Netherlands
| | - Derrek P Hibar
- Imaging Genetics Center, USC Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Charles C White
- Cell Circuits Program, Broad Institute, Cambridge, MA, USA
- Center for Translational and Computational Neuroimmunology, Department of Neurology, Columbia University Medical Center, New York, NY, USA
| | - Maria J Knol
- Department of Epidemiology, Erasmus MC, Rotterdam, the Netherlands
| | - Jason L Stein
- Imaging Genetics Center, USC Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
- Department of Genetics, University of North Carolina, Chapel Hill, NC, USA
- UNC Neuroscience Center, University of North Carolina, Chapel Hill, NC, USA
| | - Markus Scholz
- Institute for Medical Informatics, Statistics and Epidemiology, University of Leipzig, Leipzig, Germany
- LIFE: The Leipzig Research Center for Civilization Diseases, University of Leipzig, Leipzig, Germany
| | - Muralidharan Sargurupremraj
- University of Bordeaux, Inserm, Bordeaux Population Health Research Center, Team VINTAGE, UMR 1219, Bordeaux, France
| | - Neda Jahanshad
- Imaging Genetics Center, USC Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Gennady V Roshchupkin
- Department of Epidemiology, Erasmus MC, Rotterdam, the Netherlands
- Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, the Netherlands
- Department of Medical Informatics, Erasmus MC, Rotterdam, the Netherlands
| | - Albert V Smith
- Department of Biostatistics, University of Michigan, Ann Arbor, MI, USA
- Faculty of Medicine, University of Iceland, Reykjavík, Iceland
- Icelandic Heart Association, Kopavogur, Iceland
| | - Joshua C Bis
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Xueqiu Jian
- The Brown Foundation Institute of Molecular Medicine, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Michelle Luciano
- Department of Psychology, Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
| | - Edith Hofer
- Clinical Division of Neurogeriatrics, Department of Neurology, Medical University of Graz, Graz, Austria
- Institute for Medical Informatics, Statistics and Documentation, Medical University of Graz, Graz, Austria
| | - Alexander Teumer
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | | | - Jingyun Yang
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA
- Department of Neurological Sciences, Rush University Medical Center, Chicago, IL, USA
| | - Lisa R Yanek
- GeneSTAR Research Program, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Tom V Lee
- Department of Neurology, Baylor College of Medicine, Houston, TX, USA
| | - Shuo Li
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Yanhui Hu
- Department of Genetics, Harvard Medical School, Boston, MA, USA
| | - Jia Yu Koh
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore
| | - John D Eicher
- Division of Intramural Research, Population Sciences Branch, National Heart, Lung and Blood Institute, Framingham, MA, USA
| | - Sylvane Desrivières
- MRC-SGDP Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Alejandro Arias-Vasquez
- Department of Cognitive Neuroscience, Radboud University Medical Center, Nijmegen, the Netherlands
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, the Netherlands
- Department of Psychiatry, Radboud University Medical Center, Nijmegen, the Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, the Netherlands
| | - Ganesh Chauhan
- University of Bordeaux, Inserm, Bordeaux Population Health Research Center, Team VINTAGE, UMR 1219, Bordeaux, France
- Centre for Brain Research, Indian Institute of Science, Bangalore, India
| | - Lavinia Athanasiu
- CoE NORMENT, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
- CoE NORMENT, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Miguel E Rentería
- Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Sungeun Kim
- Center for Computational Biology and Bioinformatics, Indiana University School of Medicine, Indianapolis, IN, USA
- Center for Neuroimaging, Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, USA
- Indiana Alzheimer Disease Center, Indiana University School of Medicine, Indianapolis, IN, USA
| | - David Hoehn
- Max Planck Institute of Psychiatry, Munich, Germany
| | - Nicola J Armstrong
- Mathematics and Statistics, Murdoch University, Perth, Western Australia, Australia
| | - Qiang Chen
- Lieber Institute for Brain Development, Baltimore, MD, USA
| | - Avram J Holmes
- Department of Psychology, Yale University, New Haven, CT, USA
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
| | - Anouk den Braber
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
- Netherlands Twin Register, Vrije Universiteit, Amsterdam, the Netherlands
- Amsterdam Neuroscience, Amsterdam, the Netherlands
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, VU Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands
| | | | - Micael Andersson
- Department of Integrative Medical Biology, Umeå University, Umeå, Sweden
- Umeå Centre for Functional Brain Imaging (UFBI), Umeå University, Umeå, Sweden
| | - Thomas Espeseth
- CoE NORMENT, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
- Department of Psychology, University of Oslo, Oslo, Norway
| | - Oliver Grimm
- Central Institute of Mental Health, Medical Faculty Mannheim, University Heidelberg, Mannheim, Germany
| | - Lucija Abramovic
- Department of Psychiatry, UMC Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Saud Alhusaini
- The Royal College of Surgeons in Ireland, Dublin, Ireland
- Department of Neurology, Yale School of Medicine, New Haven, CT, USA
| | - Yuri Milaneschi
- Department of Psychiatry, Amsterdam Neuroscience, VU University Medical Center, Amsterdam, the Netherlands
| | - Martina Papmeyer
- Division of Psychiatry, Royal Edinburgh Hospital, University of Edinburgh, Edinburgh, UK
- Division of Systems Neuroscience of Psychopathology, Translational Research Center, University Hospital of Psychiatry, University of Bern, Bern, Switzerland
| | - Tomas Axelsson
- Department of Medical Sciences, Molecular Medicine and Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Stefan Ehrlich
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
- Division of Psychological and Social Medicine and Developmental Neurosciences, Faculty of Medicine, TU Dresden, Dresden, Germany
- Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, USA
| | - Roberto Roiz-Santiañez
- Department of Psychiatry, University Hospital Marqués de Valdecilla, School of Medicine, University of Cantabria-IDIVAL, Santander, Spain
- Department of Medicine, University Hospital Marqués de Valdecilla, School of Medicine, University of Cantabria-IDIVAL, Santander, Spain
- Centro Investigación Biomédica en Red Salud Mental, Santander, Spain
| | - Bernd Kraemer
- Section for Experimental Psychopathology and Neuroimaging, Department of General Psychiatry, Heidelberg University, Heidelberg, Germany
| | - Asta K Håberg
- Department of Neuroscience, Faculty of Medicine, Norwegian University of Science and Technology, Trondheim, Norway
- Department of Radiology, St. Olav's Hospital, Trondheim University Hospital, Trondheim, Norway
| | - Hannah J Jones
- Centre for Academic Mental Health, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
- MRC Integrative Epidemiology Unit, Bristol Medical School, University of Bristol, Bristol, UK
- NIHR Bristol Biomedical Research Centre, University Hospitals Bristol NHS Foundation Trust and University of Bristol, Bristol, UK
| | - G Bruce Pike
- Department of Radiology, University of Calgary, Calgary, Alberta, Canada
- Department of Clinical Neurosciences, University of Calgary, Calgary, Alberta, Canada
| | - Dan J Stein
- Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa
- South African Medical Research Council Unit on Risk and Resilience in Mental Disorders, Cape Town, South Africa
| | - Allison Stevens
- Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, USA
| | - Janita Bralten
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, the Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, the Netherlands
| | - Meike W Vernooij
- Department of Epidemiology, Erasmus MC, Rotterdam, the Netherlands
- Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, the Netherlands
| | - Tamara B Harris
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, Intramural Research Program, National Institutes of Health, Bethesda, MD, USA
| | - Irina Filippi
- INSERM, Research Unit 1000 'Neuroimaging and Psychiatry', Paris Saclay University and Paris Descartes University-DIGITEO Labs, Gif sur Yvette, France
| | - A Veronica Witte
- Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
- Faculty of Medicine, CRC 1052 'Obesity Mechanisms', University of Leipzig, Leipzig, Germany
| | - Tulio Guadalupe
- International Max Planck Research School for Language Sciences, Nijmegen, the Netherlands
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen, the Netherlands
| | - Katharina Wittfeld
- Department of Psychiatry, University Medicine Greifswald, Greifswald, Germany
- German Center for Neurodegenerative Diseases, Greifswald, Germany
| | - Thomas H Mosley
- Department of Medicine, University of Mississippi Medical Center, Jackson, MS, USA
| | - James T Becker
- Department of Psychology, University of Pittsburgh, Pittsburgh, PA, USA
- Department of Neurology, University of Pittsburgh, Pittsburgh, PA, USA
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - Nhat Trung Doan
- CoE NORMENT, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Saskia P Hagenaars
- Department of Psychology, Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
| | - Yasaman Saba
- Research Unit-Genetic Epidemiology, Gottfried Schatz Research Centre for Cell Signaling, Metabolism and Aging, Molecular Biology and Biochemistry, Medical University of Graz, Graz, Austria
| | | | - Najaf Amin
- Department of Epidemiology, Erasmus MC, Rotterdam, the Netherlands
| | - Saima Hilal
- Department of Pharmacology, National University of Singapore, Singapore, Singapore
- Memory Aging and Cognition Center, National University Health System, Singapore, Singapore
| | - Kwangsik Nho
- Center for Computational Biology and Bioinformatics, Indiana University School of Medicine, Indianapolis, IN, USA
- Center for Neuroimaging, Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, USA
- Indiana Alzheimer Disease Center, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Nazanin Mirza-Schreiber
- Max Planck Institute of Psychiatry, Munich, Germany
- Institute of Neurogenomics, Helmholtz Zentrum München, German Research Centre for Environmental Health, Neuherberg, Germany
| | - Konstantinos Arfanakis
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA
- Department of Biomedical Engineering, Illinois Institute of Technology, Chicago, IL, USA
- Department of Diagnostic Radiology and Nuclear Medicine, Rush University Medical Center, Chicago, IL, USA
| | - Diane M Becker
- GeneSTAR Research Program, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - David Ames
- Academic Unit for Psychiatry of Old Age, University of Melbourne, Melbourne, Victoria, Australia
- National Ageing Research Institute, Royal Melbourne Hospital, Melbourne, Victoria, Australia
| | | | - Phil H Lee
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
- Lurie Center for Autism, Massachusetts General Hospital, Harvard Medical School, Lexington, MA, USA
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Boston, MA, USA
| | - Dorret I Boomsma
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
- Netherlands Twin Register, Vrije Universiteit, Amsterdam, the Netherlands
- Amsterdam Neuroscience, Amsterdam, the Netherlands
- Amsterdam Public Health Research Institute, VU Medical Center, Amsterdam, the Netherlands
| | - Simon Lovestone
- Department of Psychiatry, University of Oxford, Oxford, UK
- NIHR Dementia Biomedical Research Unit, King's College London, London, UK
| | - Sudheer Giddaluru
- NORMENT, Department of Clinical Science, University of Bergen, Bergen, Norway
- Dr Einar Martens Research Group for Biological Psychiatry, Center for Medical Genetics and Molecular Medicine, Haukeland University Hospital, Bergen, Norway
| | - Stephanie Le Hellard
- NORMENT, Department of Clinical Science, University of Bergen, Bergen, Norway
- Dr Einar Martens Research Group for Biological Psychiatry, Center for Medical Genetics and Molecular Medicine, Haukeland University Hospital, Bergen, Norway
| | - Manuel Mattheisen
- Centre for integrated Sequencing, Aarhus University, Aarhus, Denmark
- Department of Biomedicine, Aarhus University, Aarhus, Denmark
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Aarhus, Denmark
- Department of Clinical Neuroscience, Centre for Psychiatric Research, Karolinska Institutet, Stockholm, Sweden
- Stockholm Health Care Services, Stockholm County Council, Stockholm, Sweden
| | - Marc M Bohlken
- Department of Psychiatry, UMC Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Dalia Kasperaviciute
- UCL Queen Square Institute of Neurology, London, UK
- Chalfont Centre for Epilepsy, Bucks, UK
| | - Lianne Schmaal
- Centre for Youth Mental Health, The University of Melbourne, Melbourne, Victoria, Australia
- Orygen, The National Centre of Excellence in Youth Mental Health, Melbourne, Victoria, Australia
| | - Stephen M Lawrie
- Division of Psychiatry, Royal Edinburgh Hospital, University of Edinburgh, Edinburgh, UK
| | - Ingrid Agartz
- CoE NORMENT, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Clinical Neuroscience, Centre for Psychiatric Research, Karolinska Institutet, Stockholm, Sweden
- Department of Research and Development, Diakonhjemmet Hospital, Oslo, Norway
| | - Esther Walton
- Division of Psychological and Social Medicine and Developmental Neurosciences, Faculty of Medicine, TU Dresden, Dresden, Germany
- Department of Psychology, University of Bath, Bath, UK
| | - Diana Tordesillas-Gutierrez
- Centro Investigación Biomédica en Red Salud Mental, Santander, Spain
- Neuroimaging Unit, Technological Facilities, Valdecilla Biomedical Research Institute IDIVAL, Santander, Spain
| | | | - Jean Shin
- Hospital for Sick Children, University of Toronto, Toronto, Ontario, Canada
| | - Jonathan C Ipser
- Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa
| | - Louis N Vinke
- Center for Systems Neuroscience, Boston University, Boston, MA, USA
| | - Martine Hoogman
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, the Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, the Netherlands
| | - Tianye Jia
- MRC-SGDP Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Ralph Burkhardt
- LIFE: The Leipzig Research Center for Civilization Diseases, University of Leipzig, Leipzig, Germany
- Institute of Clinical Chemistry and Laboratory Medicine, University Hospital Regensburg, Regensburg, Germany
| | - Marieke Klein
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, the Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, the Netherlands
| | - Fabrice Crivello
- Neurodegeneratives Diseases Institute, CNRS UMR 5293, Université de Bordeaux, Bordeaux, France
| | - Deborah Janowitz
- Department of Psychiatry, University Medicine Greifswald, Greifswald, Germany
| | | | - Unn K Haukvik
- CoE NORMENT, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
- Department of Adult Psychiatry, Institute for Clinical Medicine, University of Oslo, Oslo, Norway
| | - Benjamin S Aribisala
- Brain Research Imaging Centre, University of Edinburgh, Edinburgh, UK
- Department of Computer Science, Lagos State University, Ojo, Nigeria
| | - Helena Schmidt
- Research Unit-Genetic Epidemiology, Gottfried Schatz Research Centre for Cell Signaling, Metabolism and Aging, Molecular Biology and Biochemistry, Medical University of Graz, Graz, Austria
| | - Lachlan T Strike
- QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
- Queensland Brain Institute, University of Queensland, Brisbane, Queensland, Australia
| | - Ching-Yu Cheng
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore
- Ophthalmology and Visual Sciences Academic Clinical Program (Eye ACP), Duke-NUS Medical School, Singapore, Singapore
| | - Shannon L Risacher
- Center for Neuroimaging, Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, USA
- Indiana Alzheimer Disease Center, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Benno Pütz
- Max Planck Institute of Psychiatry, Munich, Germany
| | - Debra A Fleischman
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA
- Department of Neurological Sciences, Rush University Medical Center, Chicago, IL, USA
- Department of Behavioral Sciences, Rush University Medical Center, Chicago, IL, USA
| | - Amelia A Assareh
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, New South Wales, Australia
| | - Venkata S Mattay
- Lieber Institute for Brain Development, Baltimore, MD, USA
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Randy L Buckner
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
- Department of Psychology, Center for Brain Science, Harvard University, Cambridge, MA, USA
| | - Patrizia Mecocci
- Section of Gerontology and Geriatrics, Department of Medicine, University of Perugia, Perugia, Italy
| | - Anders M Dale
- Center for Multimodal Imaging and Genetics, University of California, San Diego, San Diego, CA, USA
- Department of Cognitive Sciences, University of California, San Diego, San Diego, CA, USA
- Department of Neurosciences, University of California. San Diego, San Diego, CA, USA
- Department of Psychiatry, University of California, San Diego, San Diego, CA, USA
- Department of Radiology, University of California, San Diego, San Diego, CA, USA
| | - Sven Cichon
- Division of Medical Genetics, Department of Biomedicine, University of Basel, Basel, Switzerland
- Institute of Human Genetics, University of Bonn, Bonn, Germany
- Institute for Neuroscience and Medicine: Structural and Functional Organisation of the Brain (INM-1), Research Centre Jülich, Jülich, Germany
| | - Marco P Boks
- Department of Psychiatry, UMC Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Mar Matarin
- UCL Queen Square Institute of Neurology, London, UK
- Reta Lila Weston Institute, UCL Institute of Neurology, London, UK
- Department of Molecular Neuroscience, UCL Institute of Neurology, London, UK
| | - Brenda W J H Penninx
- Department of Psychiatry, Amsterdam Neuroscience, VU University Medical Center, Amsterdam, the Netherlands
| | - Vince D Calhoun
- Department of ECE, University of New Mexico, Albuquerque, NM, USA
- The Mind Research Network and LBERI, Albuquerque, NM, USA
- Tri-institutional Center for Translational Research in Neuroimaging and Data Science, Georgia State University, Atlanta, GA, USA
| | - M Mallar Chakravarty
- Cerebral Imaging Centre, Douglas Mental Health University Institute, Montreal, Québec, Canada
- Departments of Psychiatry and Biological and Biomedical Engineering, McGill University, Montreal, Québec, Canada
| | - Andre F Marquand
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, the Netherlands
- Donders Centre for Cognitive Neuroimaging, Radboud University, Nijmegen, the Netherlands
| | - Christine Macare
- MRC-SGDP Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Shahrzad Kharabian Masouleh
- Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
- Institute for Neuroscience and Medicine: Brain and Behaviour (INM-7), Research Centre Jülich, Jülich, Germany
| | - Jaap Oosterlaan
- Clinical Neuropsychology Section, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
- Emma Neuroscience Group, Department of Pediatrics, Emma Children's Hospital, Amsterdam Reproduction & Development, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
| | - Philippe Amouyel
- LabEx DISTALZ-U1167, RID-AGE-Risk Factors and Molecular Determinants of Aging-Related Diseases, University of Lille, Lille, France
- Inserm U1167, Lille, France
- Centre Hospitalier Universitaire Lille, Lille, France
- Institut Pasteur de Lille, Lille, France
| | - Katrin Hegenscheid
- Institute of Diagnostic Radiology and Neuroradiology, University Medicine Greifswald, Greifswald, Germany
| | - Jerome I Rotter
- Institute for Translational Genomics and Population Sciences, Los Angeles Biomedical Research Institute and Pediatrics at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Andrew J Schork
- Institute of Biological Psychiatry, Mental Health Center Sct. Hans, Roskilde, Denmark
- Neurogenomics Division, Translational Genomics Research Institute, Phoenix, AZ, USA
| | - David C M Liewald
- Department of Psychology, Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
| | - Greig I de Zubicaray
- Faculty of Health, Queensland University of Technology, Brisbane, Queensland, Australia
- Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, Queensland, Australia
| | - Tien Yin Wong
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore
- Academic Medicine Research Institute, Duke-NUS Medical School, Singapore, Singapore
| | - Li Shen
- Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, PA, USA
| | | | - Henry Brodaty
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, New South Wales, Australia
- Dementia Centre for Research Collaboration, UNSW, Sydney, New South Wales, Australia
| | - Joshua L Roffman
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
| | - Eco J C de Geus
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
- Netherlands Twin Register, Vrije Universiteit, Amsterdam, the Netherlands
- Amsterdam Neuroscience, Amsterdam, the Netherlands
- Amsterdam Public Health Research Institute, VU Medical Center, Amsterdam, the Netherlands
| | - Magda Tsolaki
- 1st Department of Neurology, AHEPA University Hospital, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Susanne Erk
- Division of Mind and Brain Research, D, Corporate member of Freie Universität Berliepartment of Psychiatry and Psychotherapy, Charité-Universitätsmedizin Berlin, Humboldt-Universität zu Berlin and Berlin Institute of Health, Berlin, Germany
| | - Kristel R van Eijk
- Brain Center Rudolf Magnus, Human Neurogenetics Unit, UMC Utrecht, Utrecht, the Netherlands
| | - Gianpiero L Cavalleri
- Department of Molecular and Cellular Therapeutics, Royal College of Surgeons in Ireland, Dublin, Ireland
| | - Nic J A van der Wee
- Department of Psychiatry, Leiden University Medical Center, Leiden, the Netherlands
- Leiden Institute for Brain and Cognition, Leiden University Medical Center, Leiden, the Netherlands
| | - Andrew M McIntosh
- Department of Psychology, Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
- Division of Psychiatry, Royal Edinburgh Hospital, University of Edinburgh, Edinburgh, UK
| | - Randy L Gollub
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
- Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Kazima B Bulayeva
- Department of Evolution and Genetics, Dagestan State University, Makhachkala, Russia
| | - Manon Bernard
- Hospital for Sick Children, University of Toronto, Toronto, Ontario, Canada
| | - Jennifer S Richards
- Department of Cognitive Neuroscience, Radboud University Medical Center, Nijmegen, the Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, the Netherlands
- University Medical Center Groningen, Department of Psychiatry, University of Groningen, Groningen, the Netherlands
| | - Jayandra J Himali
- The Framingham Heart Study, Framingham, MA, USA
- Department of Neurology, Boston University School of Medicine, Boston, MA, USA
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Markus Loeffler
- Institute for Medical Informatics, Statistics and Epidemiology, University of Leipzig, Leipzig, Germany
- LIFE: The Leipzig Research Center for Civilization Diseases, University of Leipzig, Leipzig, Germany
| | - Nanda Rommelse
- Department of Psychiatry, Radboud University Medical Center, Nijmegen, the Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, the Netherlands
- Karakter Child and Adolescent Psychiatry University Center, Nijmegen, the Netherlands
| | - Wolfgang Hoffmann
- German Center for Neurodegenerative Diseases, Greifswald, Germany
- Section Epidemiology of Health Care and Community Health, Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Lars T Westlye
- CoE NORMENT, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
- CoE NORMENT, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Maria C Valdés Hernández
- Brain Research Imaging Centre, University of Edinburgh, Edinburgh, UK
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - Narelle K Hansell
- QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
- Queensland Brain Institute, University of Queensland, Brisbane, Queensland, Australia
| | - Theo G M van Erp
- Clinical Translational Neuroscience Laboratory, Department of Psychiatry and Human Behavior, University of California, Irvine, Irvine, CA, USA
- Center for the Neurobiology of Learning and Memory, University of California, Irvine, Irvine, CA, USA
| | - Christiane Wolf
- Department of Psychiatry, Psychosomatics and Psychotherapy, University of Wuerzburg, Wuerzburg, Germany
| | - John B J Kwok
- Brain and Mind Centre, University of Sydney, Sydney, New South Wales, Australia
- Neuroscience Research Australia, Sydney, New South Wales, Australia
- University of New South Wales, Sydney, New South Wales, Australia
| | - Bruno Vellas
- Department of Internal Medicine, INSERM U 1027, University of Toulouse, Toulouse, France
- Department of Geriatric Medicine, INSERM U 1027, University of Toulouse, Toulouse, France
| | - Andreas Heinz
- Department of Psychiatry and Psychotherapy, Charité Universitätsmedizin Berlin, Berlin, Germany
| | - Loes M Olde Loohuis
- Center for Neurobehavioral Genetics, University of California, Los Angeles, Los Angeles, CA, USA
| | - Norman Delanty
- The Royal College of Surgeons in Ireland, Dublin, Ireland
- Neurology Division, Beaumont Hospital, Dublin, Ireland
| | - Beng-Choon Ho
- Department of Psychiatry, Carver College of Medicine, University of Iowa, Iowa City, IA, USA
| | - Christopher R K Ching
- Imaging Genetics Center, USC Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
- Interdepartmental Neuroscience Graduate Program, UCLA School of Medicine, Los Angeles, CA, USA
| | - Elena Shumskaya
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, the Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, the Netherlands
- Donders Centre for Cognitive Neuroimaging, Radboud University, Nijmegen, the Netherlands
| | - Baljeet Singh
- Imaging of Dementia and Aging Laboratory, Department of Neurology, University of California, Davis, Davis, CA, USA
| | - Albert Hofman
- Department of Epidemiology, Erasmus MC, Rotterdam, the Netherlands
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Dennis van der Meer
- CoE NORMENT, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
- CoE NORMENT, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- School of Mental Health and Neuroscience, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, the Netherlands
| | - Georg Homuth
- Interfaculty Institute for Genetics and Functional Genomics, University Medicine Greifswald, Greifswald, Germany
| | - Bruce M Psaty
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
- Kaiser Permanent Washington Health Research Institute, Seattle, WA, USA
- Department of Epidemiology, University of Washington, Seattle, WA, USA
- Department of Health Services, University of Washington, Seattle, WA, USA
| | - Mark E Bastin
- Brain Research Imaging Centre, University of Edinburgh, Edinburgh, UK
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - Grant W Montgomery
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, Queensland, Australia
| | - Tatiana M Foroud
- Indiana Alzheimer Disease Center, Indiana University School of Medicine, Indianapolis, IN, USA
- Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Simone Reppermund
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, New South Wales, Australia
- Department of Developmental Disability Neuropsychiatry, School of Psychiatry, UNSW Medicine, Sydney, New South Wales, Australia
| | - Jouke-Jan Hottenga
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
- Netherlands Twin Register, Vrije Universiteit, Amsterdam, the Netherlands
- Amsterdam Neuroscience, Amsterdam, the Netherlands
- Amsterdam Public Health Research Institute, VU Medical Center, Amsterdam, the Netherlands
| | - Andrew Simmons
- Biomedical Research Unit for Dementia, King's College London, London, UK
- Department of Neuroimaging, Institute of Psychiatry, King's College London, London, UK
- Division of Clinical Geriatrics, Department of Neurobiology, Care Sciences and Society, Karolinska Institute, Stockholm, Sweden
| | - Andreas Meyer-Lindenberg
- Central Institute of Mental Health, Medical Faculty Mannheim, University Heidelberg, Mannheim, Germany
| | - Wiepke Cahn
- Department of Psychiatry, UMC Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Christopher D Whelan
- Imaging Genetics Center, USC Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
- The Royal College of Surgeons in Ireland, Dublin, Ireland
| | - Marjolein M J van Donkelaar
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, the Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, the Netherlands
| | - Qiong Yang
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Norbert Hosten
- Institute of Diagnostic Radiology and Neuroradiology, University Medicine Greifswald, Greifswald, Germany
| | - Robert C Green
- Harvard Medical School, Boston, MA, USA
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Anbupalam Thalamuthu
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, New South Wales, Australia
| | - Sebastian Mohnke
- Division of Mind and Brain Research, D, Corporate member of Freie Universität Berliepartment of Psychiatry and Psychotherapy, Charité-Universitätsmedizin Berlin, Humboldt-Universität zu Berlin and Berlin Institute of Health, Berlin, Germany
| | - Hilleke E Hulshoff Pol
- Department of Psychiatry, UMC Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Honghuang Lin
- The Framingham Heart Study, Framingham, MA, USA
- Section of Computational Biomedicine, Department of Medicine, Boston University School of Medicine, Boston, MA, USA
| | | | - Peter R Schofield
- Neuroscience Research Australia, Sydney, New South Wales, Australia
- School of Medical Sciences, UNSW, Sydney, New South Wales, Australia
| | - Thomas W Mühleisen
- Institute for Neuroscience and Medicine: Structural and Functional Organisation of the Brain (INM-1), Research Centre Jülich, Jülich, Germany
- Department of Biomedicine, University of Basel, Basel, Switzerland
- Cécile and Oskar Vogt Institute for Brain Research, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Pauline Maillard
- Imaging of Dementia and Aging Laboratory, Department of Neurology, University of California, Davis, Davis, CA, USA
| | - Steven G Potkin
- Department of Psychiatry and Human Behavior, University of California, Irvine, Irvine, CA, USA
| | - Wei Wen
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, New South Wales, Australia
| | - Evan Fletcher
- Imaging of Dementia and Aging Laboratory, Department of Neurology, University of California, Davis, Davis, CA, USA
| | - Arthur W Toga
- Laboratory of Neuro Imaging, USC Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of the University of Southern California, Los Angeles, CA, USA
| | - Oliver Gruber
- Section for Experimental Psychopathology and Neuroimaging, Department of General Psychiatry, Heidelberg University, Heidelberg, Germany
| | - Matthew Huentelman
- Neurogenomics Division, Translational Genomics Research Institute, Phoenix, AZ, USA
| | - George Davey Smith
- MRC Integrative Epidemiology Unit, Bristol Medical School, University of Bristol, Bristol, UK
| | - Lenore J Launer
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, Intramural Research Program, National Institutes of Health, Bethesda, MD, USA
| | - Lars Nyberg
- Department of Integrative Medical Biology, Umeå University, Umeå, Sweden
- Umeå Centre for Functional Brain Imaging (UFBI), Umeå University, Umeå, Sweden
- Radiation Sciences, Umeå University, Umeå, Sweden
| | - Erik G Jönsson
- CoE NORMENT, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Clinical Neuroscience, Centre for Psychiatric Research, Karolinska Institutet, Stockholm, Sweden
| | - Benedicto Crespo-Facorro
- Department of Medicine, University Hospital Marqués de Valdecilla, School of Medicine, University of Cantabria-IDIVAL, Santander, Spain
- Centro Investigación Biomédica en Red Salud Mental, Santander, Spain
| | - Nastassja Koen
- Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa
- South African Medical Research Council Unit on Risk and Resilience in Mental Disorders, Cape Town, South Africa
| | - Douglas N Greve
- Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, USA
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - André G Uitterlinden
- Department of Epidemiology, Erasmus MC, Rotterdam, the Netherlands
- Department of Internal Medicine, Erasmus Medical Center, Rotterdam, the Netherlands
| | - Daniel R Weinberger
- Lieber Institute for Brain Development, Baltimore, MD, USA
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Department of Psychiatry, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Vidar M Steen
- NORMENT, Department of Clinical Science, University of Bergen, Bergen, Norway
- Dr Einar Martens Research Group for Biological Psychiatry, Center for Medical Genetics and Molecular Medicine, Haukeland University Hospital, Bergen, Norway
| | - Iryna O Fedko
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
- Netherlands Twin Register, Vrije Universiteit, Amsterdam, the Netherlands
- Amsterdam Public Health Research Institute, VU Medical Center, Amsterdam, the Netherlands
| | - Nynke A Groenewold
- Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa
| | - Wiro J Niessen
- Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, the Netherlands
- Department of Medical Informatics, Erasmus MC, Rotterdam, the Netherlands
- Imaging Physics, Faculty of Applied Sciences, Delft University of Technology, Delft, the Netherlands
| | | | | | - William T Longstreth
- Department of Epidemiology, University of Washington, Seattle, WA, USA
- Department of Neurology, University of Washington, Seattle, WA, USA
| | - M Kamran Ikram
- Department of Epidemiology, Erasmus MC, Rotterdam, the Netherlands
- Department of Neurology, Erasmus MC, Rotterdam, the Netherlands
| | - Jordan W Smoller
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Boston, MA, USA
| | - Marie-Jose van Tol
- Cognitive Neuroscience Center, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Jessika E Sussmann
- Division of Psychiatry, Royal Edinburgh Hospital, University of Edinburgh, Edinburgh, UK
| | - Tomas Paus
- Bloorview Research Institute, Holland Bloorview Kids Rehabilitation Hospital, Toronto, Ontario, Canada
- Department of Psychology, University of Toronto, Toronto, Ontario, Canada
- Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada
| | - Hervé Lemaître
- INSERM, Research Unit 1000 'Neuroimaging and Psychiatry', Paris Saclay University and Paris Descartes University-DIGITEO Labs, Gif sur Yvette, France
| | - Matthias L Schroeter
- LIFE: The Leipzig Research Center for Civilization Diseases, University of Leipzig, Leipzig, Germany
- Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
- Clinic for Cognitive Neurology, University Clinic Leipzig, Leipzig, Germany
| | - Bernard Mazoyer
- Neurodegeneratives Diseases Institute, CNRS UMR 5293, Université de Bordeaux, Bordeaux, France
| | - Ole A Andreassen
- CoE NORMENT, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
- CoE NORMENT, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Florian Holsboer
- Max Planck Institute of Psychiatry, Munich, Germany
- HMNC Brain Health, Munich, Germany
| | - Chantal Depondt
- Department of Neurology, Hopital Erasme, Universite Libre de Bruxelles, Brussels, Belgium
| | - Dick J Veltman
- Department of Psychiatry, Amsterdam Neuroscience, VU University Medical Center, Amsterdam, the Netherlands
| | - Jessica A Turner
- The Mind Research Network and LBERI, Albuquerque, NM, USA
- Tri-institutional Center for Translational Research in Neuroimaging and Data Science, Georgia State University, Atlanta, GA, USA
- Department of Psychology, Georgia State University, Atlanta, GA, USA
| | - Zdenka Pausova
- Hospital for Sick Children, University of Toronto, Toronto, Ontario, Canada
| | - Gunter Schumann
- MRC-SGDP Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Daan van Rooij
- Department of Cognitive Neuroscience, Radboud University Medical Center, Nijmegen, the Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, the Netherlands
- University Medical Center Groningen, Department of Psychiatry, University of Groningen, Groningen, the Netherlands
| | - Srdjan Djurovic
- NORMENT, Department of Clinical Science, University of Bergen, Bergen, Norway
- Department of Medical Genetics, Oslo University Hospital, Oslo, Norway
| | - Ian J Deary
- Department of Psychology, Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
| | - Katie L McMahon
- Faculty of Health, Queensland University of Technology, Brisbane, Queensland, Australia
- Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, Queensland, Australia
| | - Bertram Müller-Myhsok
- Max Planck Institute of Psychiatry, Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
- Institute of Translational Medicine, University of Liverpool, Liverpool, UK
| | - Rachel M Brouwer
- Department of Psychiatry, UMC Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Hilkka Soininen
- Institute of Clinical Medicine-Neurology, University of Eastern Finland, Kuopio, Finland
- Neurocentre Neurology, Kuopio University Hospital, Kuopio, Finland
| | - Massimo Pandolfo
- Department of Neurology, Hopital Erasme, Universite Libre de Bruxelles, Brussels, Belgium
| | - Thomas H Wassink
- Department of Psychiatry, Carver College of Medicine, University of Iowa, Iowa City, IA, USA
| | - Joshua W Cheung
- Imaging Genetics Center, USC Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Thomas Wolfers
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, the Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, the Netherlands
| | - Jean-Luc Martinot
- INSERM, Research Unit 1000 'Neuroimaging and Psychiatry', Paris Saclay University and Paris Descartes University-DIGITEO Labs, Gif sur Yvette, France
| | - Marcel P Zwiers
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, the Netherlands
- Donders Centre for Cognitive Neuroimaging, Radboud University, Nijmegen, the Netherlands
| | - Matthias Nauck
- Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Greifswald, Germany
- German Center for Cardiovascular Research (partner site Greifswald), Greifswald, Germany
| | - Ingrid Melle
- CoE NORMENT, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
- CoE NORMENT, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Nicholas G Martin
- QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Ryota Kanai
- Department of Neuroinformatics, Araya, Tokyo, Japan
- Institute of Cognitive Neuroscience, University College London, London, UK
- School of Psychology, University of Sussex, Brighton, UK
| | - Eric Westman
- Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
| | - René S Kahn
- Department of Psychiatry, UMC Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Sanjay M Sisodiya
- UCL Queen Square Institute of Neurology, London, UK
- Chalfont Centre for Epilepsy, Bucks, UK
| | - Tonya White
- Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, the Netherlands
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus MC-Sophia Children's Hospital, Rotterdam, the Netherlands
| | - Arvin Saremi
- Imaging Genetics Center, USC Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Hans van Bokhoven
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, the Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, the Netherlands
| | - Han G Brunner
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, the Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, the Netherlands
- Department of Clinical Genetics, Maastricht University Medical Center, Maastricht, the Netherlands
- GROW School for Oncology and Developmental Biology, Maastricht, the Netherlands
| | - Henry Völzke
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
- German Center for Cardiovascular Research (partner site Greifswald), Greifswald, Germany
| | - Margaret J Wright
- Queensland Brain Institute, University of Queensland, Brisbane, Queensland, Australia
- Centre for Advanced Imaging, University of Queensland, Brisbane, Queensland, Australia
| | - Dennis van 't Ent
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
- Netherlands Twin Register, Vrije Universiteit, Amsterdam, the Netherlands
- Amsterdam Neuroscience, Amsterdam, the Netherlands
- Amsterdam Public Health Research Institute, VU Medical Center, Amsterdam, the Netherlands
| | - Markus M Nöthen
- Institute of Human Genetics, University of Bonn, Bonn, Germany
- Department of Genomics, Life and Brain Center, University of Bonn, Bonn, Germany
| | - Roel A Ophoff
- Center for Neurobehavioral Genetics, University of California, Los Angeles, Los Angeles, CA, USA
- Department of Psychiatry, Erasmus Medical Center, Rotterdam, the Netherlands
| | - Jan K Buitelaar
- Department of Cognitive Neuroscience, Radboud University Medical Center, Nijmegen, the Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, the Netherlands
- Karakter Child and Adolescent Psychiatry University Center, Nijmegen, the Netherlands
| | - Guillén Fernández
- Department of Cognitive Neuroscience, Radboud University Medical Center, Nijmegen, the Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, the Netherlands
| | - Perminder S Sachdev
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, New South Wales, Australia
- Neuropsychiatric Institute, Prince of Wales Hospital, Sydney, New South Wales, Australia
| | - Marcella Rietschel
- Central Institute of Mental Health, Medical Faculty Mannheim, University Heidelberg, Mannheim, Germany
| | - Neeltje E M van Haren
- Department of Psychiatry, UMC Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus MC-Sophia Children's Hospital, Rotterdam, the Netherlands
| | - Simon E Fisher
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, the Netherlands
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen, the Netherlands
| | - Alexa S Beiser
- The Framingham Heart Study, Framingham, MA, USA
- Department of Neurology, Boston University School of Medicine, Boston, MA, USA
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Clyde Francks
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, the Netherlands
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen, the Netherlands
| | - Andrew J Saykin
- Center for Neuroimaging, Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, USA
- Indiana Alzheimer Disease Center, Indiana University School of Medicine, Indianapolis, IN, USA
- Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Karen A Mather
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, New South Wales, Australia
- Neuroscience Research Australia, Sydney, New South Wales, Australia
| | - Nina Romanczuk-Seiferth
- Department of Psychiatry and Psychotherapy, Charité Universitätsmedizin Berlin, Berlin, Germany
| | - Catharina A Hartman
- University Medical Center Groningen, Department of Psychiatry, University of Groningen, Groningen, the Netherlands
| | - Anita L DeStefano
- The Framingham Heart Study, Framingham, MA, USA
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Dirk J Heslenfeld
- Department of Psychology, VU University Amsterdam, Amsterdam, the Netherlands
| | - Michael W Weiner
- Center for Imaging of Neurodegenerative Disease, San Francisco VA Medical Center, University of California, San Francisco, San Francisco, CA, USA
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, USA
| | - Henrik Walter
- Division of Mind and Brain Research, D, Corporate member of Freie Universität Berliepartment of Psychiatry and Psychotherapy, Charité-Universitätsmedizin Berlin, Humboldt-Universität zu Berlin and Berlin Institute of Health, Berlin, Germany
| | - Pieter J Hoekstra
- University Medical Center Groningen, Department of Psychiatry, University of Groningen, Groningen, the Netherlands
| | - Paul A Nyquist
- GeneSTAR Research Program, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Barbara Franke
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, the Netherlands
- Department of Psychiatry, Radboud University Medical Center, Nijmegen, the Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, the Netherlands
| | - David A Bennett
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA
- Department of Neurological Sciences, Rush University Medical Center, Chicago, IL, USA
| | - Hans J Grabe
- Department of Psychiatry, University Medicine Greifswald, Greifswald, Germany
- German Center for Neurodegenerative Diseases, Greifswald, Germany
| | - Andrew D Johnson
- Division of Intramural Research, Population Sciences Branch, National Heart, Lung and Blood Institute, Framingham, MA, USA
| | - Christopher Chen
- Department of Pharmacology, National University of Singapore, Singapore, Singapore
- Memory Aging and Cognition Center, National University Health System, Singapore, Singapore
| | - Cornelia M van Duijn
- Department of Epidemiology, Erasmus MC, Rotterdam, the Netherlands
- Leiden Academic Centre for Drug Research, Leiden University, Leiden, the Netherlands
| | - Oscar L Lopez
- Department of Neurology, University of Pittsburgh, Pittsburgh, PA, USA
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - Myriam Fornage
- The Brown Foundation Institute of Molecular Medicine, University of Texas Health Science Center at Houston, Houston, TX, USA
- Human Genetics Center, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Joanna M Wardlaw
- Department of Psychology, Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
- UK Dementia Research Institute, University of Edinburgh, Edinburgh, UK
| | - Reinhold Schmidt
- Clinical Division of Neurogeriatrics, Department of Neurology, Medical University of Graz, Graz, Austria
| | - Charles DeCarli
- Department of Neurology, Center for Neuroscience, University of California, Davis, Sacramento, CA, USA
| | - Philip L De Jager
- Cell Circuits Program, Broad Institute, Cambridge, MA, USA
- Center for Translational and Computational Neuroimmunology, Department of Neurology, Columbia University Medical Center, New York, NY, USA
| | - Arno Villringer
- Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
- Faculty of Medicine, CRC 1052 'Obesity Mechanisms', University of Leipzig, Leipzig, Germany
| | - Stéphanie Debette
- Department of Neurology, Boston University School of Medicine, Boston, MA, USA
- University of Bordeaux, Inserm, Bordeaux Population Health Research Center, Team VINTAGE, UMR 1219, Bordeaux, France
- Department of Neurology, CHU de Bordeaux, Bordeaux, France
| | - Vilmundur Gudnason
- Faculty of Medicine, University of Iceland, Reykjavík, Iceland
- Icelandic Heart Association, Kopavogur, Iceland
| | - Sarah E Medland
- QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Joshua M Shulman
- Department of Neurology, Baylor College of Medicine, Houston, TX, USA
- Department of Neuroscience, Baylor College of Medicine, Houston, TX, USA
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
- Jan and Dan Duncan Neurological Research Institute, Texas Children's Hospital, Houston, TX, USA
| | - Paul M Thompson
- Imaging Genetics Center, USC Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Sudha Seshadri
- The Framingham Heart Study, Framingham, MA, USA
- Department of Neurology, Boston University School of Medicine, Boston, MA, USA
| | - M Arfan Ikram
- Department of Epidemiology, Erasmus MC, Rotterdam, the Netherlands.
- Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, the Netherlands.
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Park S, Lee JH, Lee J, Cho Y, Park HG, Yoo Y, Youn JH, Ryu SH, Hwang JY, Kim J, Lee JY. Interactions between subjective memory complaint and objective cognitive deficit on memory performances. BMC Geriatr 2019; 19:294. [PMID: 31666029 PMCID: PMC6822458 DOI: 10.1186/s12877-019-1322-9] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2018] [Accepted: 10/17/2019] [Indexed: 12/03/2022] Open
Abstract
Background Subjective memory complaint (SMCs) is a common trait amongst older population. The subjective cognition about their memory could depend on objective cognition. The aim of the current study was to examine the interaction between subjective memory cognition (i.e., SMC) and objective cognition on cognitive functions in participants from older generation. Methods A total of 219 patients, 181 normal control (NC) patients and 38 patients with mild cognitive impairment (MCI), were examined through standardized and comprehensive clinical evaluation and neuropsychological assessment. The Subjective Memory Complaints Questionnaire was used to assess SMCs along with five cognitive tasks were used to evaluate cognitive decline over following areas: verbal memory, visuospatial memory, attention, fluency, and language. Results The results of 2 × 2 two-way analysis of variance (ANOVA) showed that there were significant interactions between SMCs and cognitive status (NC, MCI) on memory performances. NC with SMCs showed significantly lower performance in verbal memory and visuospatial memory compared to NCs without SMCs. Conversely, no effect was observed in the MCI group. Conclusion There are interactions between subjective cognition (i.e., SMC) and objective cognition (i.e., cognitive status) on memory performances in older adults. The roles of SMCs on memory performances should be interpreted with older adults’ objective cognitive status.
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Affiliation(s)
- Soowon Park
- Department of Education, Sejong University, Seoul, 05006, Republic of Korea
| | - Ji-Hye Lee
- Gwang Myeong Office Education Wee Center, Gyeonggi-do, 14296, Korea
| | - Jiyeon Lee
- Department of Psychiatry, SMG-SNU Boramae Medical Center, Seoul National University College of Medicine, Seoul, 07061, Korea
| | - Youngsung Cho
- Department of Psychiatry, Bucheon geriatric medical center, Seoul, 14478, Korea
| | - Hyun Gyu Park
- Department of Psychology, University of California Santa Cruz, Santa Cruz, CA, 75064, USA
| | - Yongjoon Yoo
- Department of Psychiatry, Seoul National University Hospital, Seoul, 07061, Republic of Korea
| | - Jung-Hae Youn
- Department of Art Therapy & Counseling Psychology, Cha University, Gyeonggi-do, 11160, Korea
| | - Seung-Ho Ryu
- Department of Psychiatry, School of Medicine, Konkuk University, Konkuk University Medical Center, Seoul, 05030, Korea
| | - Jae Yeon Hwang
- Department of Neuropsychiatry, Hallym University Kangdong Sacred Heart Hospital, 150 Seongan-ro, Gangdong-gu, Seoul, 05355, Korea
| | - Jeongsim Kim
- Department of Psychiatry and Neuroscience Research Institute, Seoul National University College of Medicine & SMG-SNU Boramae Medical Center, Seoul, 07061, Korea
| | - Jun-Young Lee
- Department of Psychiatry and Neuroscience Research Institute, Seoul National University College of Medicine & SMG-SNU Boramae Medical Center, Seoul, 07061, Korea.
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Ross RD, Shah RC, Leurgans S, Bottiglieri T, Wilson RS, Sumner DR. Circulating Dkk1 and TRAIL Are Associated With Cognitive Decline in Community-Dwelling, Older Adults With Cognitive Concerns. J Gerontol A Biol Sci Med Sci 2019; 73:1688-1694. [PMID: 29432613 DOI: 10.1093/gerona/glx252] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2017] [Indexed: 12/22/2022] Open
Abstract
Background Osteoporosis and Alzheimer's disease are common diseases of aging that would seem to be unrelated, but may be linked through the influence of bone-derived signals on brain function. The aim of the current study is to investigate the relationship between circulating levels of bone-related biomarkers and cognition. Methods The population included 103 community-dwelling older individuals with memory concerns but without cognitive impairment. A global cognition summary measure was collected at baseline and 6, 12, and 18 months post-enrollment by converting raw scores from 19 cognitive function tests to z-scores and averaging. Baseline plasma concentrations of bone-related biomarkers, including undercarboxylated, carboxylated, and total osteocalcin, parathyroid hormone, C-terminal telopeptide of collagen 1 (CTX-1), procollagen type 1 amino-terminal propeptide, osteoprotegrin, osteopontin, Dickkopf WNT signaling pathway inhibitor 1 (Dkk1), sclerostin, and amyloid β peptides (Aβ40 and Aβ42), were measured. Results Using sex, age, and education-adjusted mixed-effects models, we found that baseline levels of TNF-related apoptosis-inducing ligand (TRAIL; p < .001), Dkk1 (p = .014), and CTX-1 (p = .046) were related to the annual rate of change of global cognition over the 18 month follow-up. In cognitive domain-specific analysis, baseline TRAIL was found to be positively related to the annual rate of change in episodic (p < .001) and working memory (p = .016), and baseline Dkk1 was positively related to semantic memory (p = .027) and negatively related to working memory (p = .016). Conclusions These results further confirm the link between bone and brain health and suggest that circulating levels of bone-related biomarkers may have diagnostic potential to predict worsening cognition.
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Affiliation(s)
- Ryan D Ross
- Department of Cell and Molecular Medicine, Rush University Medical Center, Chicago, Illinois
| | - Raj C Shah
- Department of Family Medicine, Rush University Medical Center, Chicago, Illinois.,Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, Illinois
| | - Sue Leurgans
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, Illinois.,Department of Neurological Sciences, Rush University Medical Center, Chicago, Illinois
| | | | - Robert S Wilson
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, Illinois.,Department of Neurological Sciences, Rush University Medical Center, Chicago, Illinois.,Department of Behavioral Sciences, Rush University Medical Center, Chicago, Illinois
| | - Dale Rick Sumner
- Department of Cell and Molecular Medicine, Rush University Medical Center, Chicago, Illinois.,Department of Orthopedic Surgery, Rush University Medical Center, Chicago, Illinois
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Shokouhi S, Conley AC, Baker SL, Albert K, Kang H, Gwirtsman HE, Newhouse PA. The relationship between domain-specific subjective cognitive decline and Alzheimer's pathology in normal elderly adults. Neurobiol Aging 2019; 81:22-29. [PMID: 31207466 PMCID: PMC6732237 DOI: 10.1016/j.neurobiolaging.2019.05.011] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2018] [Revised: 05/13/2019] [Accepted: 05/15/2019] [Indexed: 11/19/2022]
Abstract
We evaluated the associations of subjective (self-reported everyday cognition [ECog]) and objective cognitive measures with regional amyloid-β (Aβ) and tau accumulation in 86 clinically normal elderly subjects from the Alzheimer's Disease Neuroimaging Initiative. Regression analyses were conducted to identify whether individual ECog domains (Memory, Language, Organization, Planning, Visuospatial, and Divided Attention) were equally or differentially associated with regional [18F]florbetapir and [18F]flortaucipir uptake and how these associations compared to those obtained with objective cognitive measures. A texture analysis, the weighted 2-point correlation, was used as an additional approach for estimating the whole-brain tau burden without positron emission tomography intensity normalization. Although the strongest models for ECog domains included either tau (planning and visuospatial) or Aβ (memory and organization), the strongest models for all objective measures included Aβ. In Aβ-negative participants, the strongest models for all ECog domains of executive functioning included tau. Our results indicate differential associations of individual subjective cognitive domains with Aβ and tau in clinically normal adults. Detailed characterization of ECog may render a valuable prescreening tool for pathological prediction.
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Affiliation(s)
- Sepideh Shokouhi
- Department of Psychiatry and Behavioral Sciences, Center for Cognitive Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.
| | - Alexander C Conley
- Department of Psychiatry and Behavioral Sciences, Center for Cognitive Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Suzanne L Baker
- Center for Functional Imaging, Molecular Biophysics and Integrated Bioimaging, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - Kimberly Albert
- Department of Psychiatry and Behavioral Sciences, Center for Cognitive Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Hakmook Kang
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Harry E Gwirtsman
- Department of Psychiatry and Behavioral Sciences, Center for Cognitive Medicine, Vanderbilt University Medical Center, Nashville, TN, USA; Geriatric Research, Education, and Clinical Center, Tennessee Valley Veterans Affairs Medical Center, Nashville, TN, USA
| | - Paul A Newhouse
- Department of Psychiatry and Behavioral Sciences, Center for Cognitive Medicine, Vanderbilt University Medical Center, Nashville, TN, USA; Geriatric Research, Education, and Clinical Center, Tennessee Valley Veterans Affairs Medical Center, Nashville, TN, USA
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Biomarker-Based Signature of Alzheimer's Disease in Pre-MCI Individuals. Brain Sci 2019; 9:brainsci9090213. [PMID: 31450744 PMCID: PMC6769621 DOI: 10.3390/brainsci9090213] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2019] [Revised: 08/10/2019] [Accepted: 08/20/2019] [Indexed: 12/11/2022] Open
Abstract
Alzheimer’s disease (AD) pathology begins decades before the onset of clinical symptoms. It is recognized as a clinicobiological entity, being detectable in vivo independently of the clinical stage by means of pathophysiological biomarkers. Accordingly, neuropathological studies that were carried out on healthy elderly subjects, with or without subjective experience of cognitive decline, reported evidence of AD pathology in a high proportion of cases. At present, mild cognitive impairment (MCI) represents the only clinically diagnosed pre-dementia stage. Several attempts have been carried out to detect AD as early as possible, when subtle cognitive alterations, still not fulfilling MCI criteria, appear. Importantly, pre-MCI individuals showing the positivity of pathophysiological AD biomarkers show a risk of progression similar to MCI patients. In view of successful treatment with disease modifying agents, in a clinical setting, a timely diagnosis is mandatory. In clinical routine, biomarkers assessment should be taken into consideration whenever a subject with subtle cognitive deficits (pre-MCI), who is aware of his/her decline, requests to know the cause of such disturbances. In this review, we report the available neuropsychological and biomarkers data that characterize the pre-MCI patients, thus proposing pre-MCI as the first clinical manifestation of AD.
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Hanko V, Apple AC, Alpert KI, Warren KN, Schneider JA, Arfanakis K, Bennett DA, Wang L. In vivo hippocampal subfield shape related to TDP-43, amyloid beta, and tau pathologies. Neurobiol Aging 2019; 74:171-181. [PMID: 30453234 PMCID: PMC6331233 DOI: 10.1016/j.neurobiolaging.2018.10.013] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2017] [Revised: 09/14/2018] [Accepted: 10/10/2018] [Indexed: 12/31/2022]
Abstract
Despite advances in the development of biomarkers for Alzheimer's disease (AD), accurate ante-mortem diagnosis remains challenging because a variety of neuropathologic disease states can coexist and contribute to the AD dementia syndrome. Here, we report a neuroimaging study correlating hippocampal deformity with regional AD and transactive response DNA-binding protein of 43 kDA pathology burden. We used hippocampal shape analysis of ante-mortem T1-weighted structural magnetic resonance imaging images of 42 participants from two longitudinal cohort studies conducted by the Rush Alzheimer's Disease Center. Surfaces were generated for the whole hippocampus and zones approximating the underlying subfields using a previously developed automated image-segmentation pipeline. Multiple linear regression models were constructed to correlate the shape with pathology measures while accounting for covariates, with relationships mapped out onto hippocampal surface locations. A significant relationship existed between higher paired helical filaments-tau burden and inward hippocampal shape deformity in zones approximating CA1 and subiculum which persisted after accounting for coexisting pathologies. No significant patterns of inward surface deformity were associated with amyloid-beta or transactive response DNA-binding protein of 43 kDA after including covariates. Our findings indicate that hippocampal shape deformity measures in surface zones approximating CA1 may represent a biomarker for postmortem AD pathology.
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Affiliation(s)
- Veronika Hanko
- Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Alexandra C Apple
- Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Kathryn I Alpert
- Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Kristen N Warren
- Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Julie A Schneider
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA
| | - Konstantinos Arfanakis
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA; Department of Biomedical Engineering, Illinois Institute of Technology, Chicago, IL, USA
| | - David A Bennett
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA
| | - Lei Wang
- Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, USA; Department of Radiology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
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Babulal GM, Quiroz YT, Albensi BC, Arenaza-Urquijo E, Astell AJ, Babiloni C, Bahar-Fuchs A, Bell J, Bowman GL, Brickman AM, Chételat G, Ciro C, Cohen AD, Dilworth-Anderson P, Dodge HH, Dreux S, Edland S, Esbensen A, Evered L, Ewers M, Fargo KN, Fortea J, Gonzalez H, Gustafson DR, Head E, Hendrix JA, Hofer SM, Johnson LA, Jutten R, Kilborn K, Lanctôt KL, Manly JJ, Martins RN, Mielke MM, Morris MC, Murray ME, Oh ES, Parra MA, Rissman RA, Roe CM, Santos OA, Scarmeas N, Schneider LS, Schupf N, Sikkes S, Snyder HM, Sohrabi HR, Stern Y, Strydom A, Tang Y, Terrera GM, Teunissen C, Melo van Lent D, Weinborn M, Wesselman L, Wilcock DM, Zetterberg H, O'Bryant SE. Perspectives on ethnic and racial disparities in Alzheimer's disease and related dementias: Update and areas of immediate need. Alzheimers Dement 2019; 15:292-312. [PMID: 30555031 PMCID: PMC6368893 DOI: 10.1016/j.jalz.2018.09.009] [Citation(s) in RCA: 335] [Impact Index Per Article: 67.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2018] [Revised: 07/12/2018] [Accepted: 09/13/2018] [Indexed: 02/07/2023]
Abstract
Alzheimer's disease and related dementias (ADRDs) are a global crisis facing the aging population and society as a whole. With the numbers of people with ADRDs predicted to rise dramatically across the world, the scientific community can no longer neglect the need for research focusing on ADRDs among underrepresented ethnoracial diverse groups. The Alzheimer's Association International Society to Advance Alzheimer's Research and Treatment (ISTAART; alz.org/ISTAART) comprises a number of professional interest areas (PIAs), each focusing on a major scientific area associated with ADRDs. We leverage the expertise of the existing international cadre of ISTAART scientists and experts to synthesize a cross-PIA white paper that provides both a concise "state-of-the-science" report of ethnoracial factors across PIA foci and updated recommendations to address immediate needs to advance ADRD science across ethnoracial populations.
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Affiliation(s)
- Ganesh M Babulal
- Department of Neurology and Knight Alzheimer's Disease Research Center, Washington University School of Medicine, St. Louis, MO, USA
| | - Yakeel T Quiroz
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA; Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Benedict C Albensi
- Division of Neurodegenerative Disorders, St. Boniface Hospital Albrechtsen Research Centre, Winnipeg, Manitoba, Canada; Department of Pharmacology & Therapeutics, University of Manitoba, Winnipeg, Manitoba, Canada
| | | | - Arlene J Astell
- Department of Occupational Sciences & Occupational Therapy, University of Toronto, CA; School of Psychology and Clinical Language Sciences, University of Reading, UK
| | - Claudio Babiloni
- Department of Physiology and Pharmacology "V. Erspamer", Sapienza University of Rome, Rome, Italy; Department of Neuroscience, IRCCS-Hospital San Raffaele Pisana of Rome and Cassino, Rome and Cassino, Italy
| | - Alex Bahar-Fuchs
- Academic Unit for Psychiatry of Old Age, Department of Psychiatry, the University of Melbourne, Australia
| | | | - Gene L Bowman
- Nutrition and Brain Health Laboratory, Nestlé Institute of Health Sciences, Lausanne, Switzerland; Department of Neurology, Layton Aging & Alzheimer's Disease Center, Oregon Health & Science University, Portland, OR, USA
| | - Adam M Brickman
- Taub Institute for Research in Alzheimer's Disease and the Aging Brain, The Gertrude H. Sergievsky Center, Department of Neurology, Columbia University, New York, NY, USA
| | - Gaël Chételat
- Inserm, Inserm UMR-S U1237, Université de Caen-Normandie, GIP Cyceron, Caen, France
| | - Carrie Ciro
- Department of Occupational Therapy Education, University of Kansas Medical Center, Kansas City, KS, USA
| | - Ann D Cohen
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | | | - Hiroko H Dodge
- Department of Neurology, Layton Aging and Alzheimer's Disease Center, Oregon Health & Science University, Portland, OR, USA
| | - Simone Dreux
- Undergraduate Program of History and Science, Harvard College, Cambridge, MA, USA
| | - Steven Edland
- Department of Family Medicine and Public Health, University of California, San Diego, CA, USA
| | - Anna Esbensen
- Department of Pediatrics, University of Cincinnati College of Medicine & Division of Developmental and Behavioral Pediatrics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
| | - Lisbeth Evered
- Melbourne Medical School, University of Melbourne, Australia
| | - Michael Ewers
- Institute for Stroke and Dementia Research, Klinikum der Universität München, Munich, Germany
| | - Keith N Fargo
- Medical & Scientific Relations, Alzheimer's Association, Chicago, IL, USA
| | - Juan Fortea
- Memory Unit, Department of Neurology, Hospital de la Santa Creu i Sant Pau, Biomedical Research Institute Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain; Barcelona Down Medical Center, Fundació Catalana de Síndrome de Down, Barcelona, Spain
| | - Hector Gonzalez
- Department of Neurosciences and Shiley-Marcos Alzheimer's Disease Research Center, University of San Diego, CA, USA
| | - Deborah R Gustafson
- Department of Neurology, Section for NeuroEpidemiology, State University of New York - Downstate Medical Center, Brooklyn, NY, USA
| | - Elizabeth Head
- Sanders Brown Center on Aging, University of Kentucky, Lexington, KY, USA
| | - James A Hendrix
- Medical & Scientific Relations, Alzheimer's Association, Chicago, IL, USA
| | - Scott M Hofer
- Adult Development and Aging, University of Victoria, British Columbia, CA, USA
| | - Leigh A Johnson
- Department of Pharmacology & Neuroscience, University of North Texas Health Science Center, Fort Worth, TX, USA
| | - Roos Jutten
- VU University Medical Center, Department of Neurology, Amsterdam Neuroscience, Amsterdam, the Netherlands
| | - Kerry Kilborn
- Department of Psychology, University of Glasgow, Glasgow, Scotland, UK
| | - Krista L Lanctôt
- Sunnybrook Research Institute of Psychiatry and Pharmacology, University of Toronto, Toronto, ON, Canada
| | - Jennifer J Manly
- Taub Institute for Research in Alzheimer's Disease and the Aging Brain, The Gertrude H. Sergievsky Center, Department of Neurology, Columbia University, New York, NY, USA
| | - Ralph N Martins
- Aging and Alzheimer's Disease, School of Medical and Health Sciences, Edith Cowan University, Joondalup, Australia
| | - Michelle M Mielke
- Department of Epidemiology, Mayo Clinic, Rochester, MN, USA; Department of Neurology, Mayo Clinic, Rochester, MN, USA
| | | | | | - Esther S Oh
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Mario A Parra
- School of Social Sciences, Department of Psychology, Heriot-Watt University, UK; Universidad Autónoma del Caribe, Barranquilla, Colombia; Neuroprogressive and Dementia Network, UK
| | - Robert A Rissman
- Department of Neurosciences, University of California San Diego School of Medicine, CA, USA
| | - Catherine M Roe
- Department of Neurology and Knight Alzheimer's Disease Research Center, Washington University School of Medicine, St. Louis, MO, USA
| | - Octavio A Santos
- Department of Psychiatry and Psychology, Mayo Clinic, Jacksonville, FL, USA
| | - Nikolaos Scarmeas
- Taub Institute for Research in Alzheimer's Disease and the Aging Brain, The Gertrude H. Sergievsky Center, Department of Neurology, Columbia University, New York, NY, USA; Aiginition Hospital, 1st Neurology Clinic, Department of Social Medicine, Psychiatry and Neurology, National and Kapodistrian University of Athens, Athens, Greece
| | - Lon S Schneider
- Department of Psychiatry and The Behavioral Sciences, University of Southern California, CA, USA
| | - Nicole Schupf
- Department of Epidemiology, Mailman School of Public Health Columbia University, New York, NY, USA
| | - Sietske Sikkes
- Massachusetts General Hospital, Department of Neurology, Boston, MA, USA
| | - Heather M Snyder
- Medical & Scientific Relations, Alzheimer's Association, Chicago, IL, USA
| | - Hamid R Sohrabi
- Aging and Alzheimer's Disease, School of Medical and Health Sciences, Edith Cowan University, Joondalup, Australia
| | - Yaakov Stern
- Department of Neurology, Columbia University, New York, NY, USA; Department of Psychiatry, Columbia University, New York, NY, USA
| | - Andre Strydom
- Department of Forensic and Neurodevelopmental Science, Institute of Psychiatry Psychology and Neuroscience, King's College London, London, UK
| | - Yi Tang
- Department of Neurology, Xuan Wu Hospital, Capital Medical University, Beijing, China
| | - Graciela Muniz Terrera
- Centers for Clinical Brain Sciences and Dementia Prevention, University in Edinburgh, Scotland, UK
| | - Charlotte Teunissen
- Neurochemistry Laboratory and Biobank, Department of Clinical Chemistry, Amsterdam Neuroscience, Vrije Universiteit University Medical Center, Amsterdam, the Netherlands
| | - Debora Melo van Lent
- Department of Clinical Research, German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Michael Weinborn
- Aging and Alzheimer's Disease, School of Medical and Health Sciences, Edith Cowan University, Joondalup, Australia
| | | | - Donna M Wilcock
- Neurochemistry Laboratory and Biobank, Department of Clinical Chemistry, Amsterdam Neuroscience, Vrije Universiteit University Medical Center, Amsterdam, the Netherlands
| | - Henrik Zetterberg
- UK Dementia Research Institute at UCL, London, UK; Department of Molecular Neuroscience, UCL Institute of Neurology, Queen Square, London, UK; Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden; Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
| | - Sid E O'Bryant
- Department of Pharmacology & Neuroscience, University of North Texas Health Science Center, Fort Worth, TX, USA.
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Curhan SG, Willett WC, Grodstein F, Curhan GC. Longitudinal study of hearing loss and subjective cognitive function decline in men. Alzheimers Dement 2019; 15:525-533. [PMID: 30709794 DOI: 10.1016/j.jalz.2018.11.004] [Citation(s) in RCA: 36] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2018] [Revised: 11/01/2018] [Accepted: 11/28/2018] [Indexed: 02/07/2023]
Abstract
INTRODUCTION We examined the relation between self-reported hearing loss, hearing aid use, and risk of subjective cognitive function (SCF) decline. METHODS We conducted an 8-year (2008-2016) longitudinal study of 10,107 men aged ≥62 years who reported their hearing status in 2006 and had no subjective cognitive concerns in 2008. Change in SCF scores was assessed by a 6-item questionnaire, and subjective decline was defined as new report of at least one SCF concern during follow-up. RESULTS Hearing loss was associated with higher risk of SCF decline. Compared with no hearing loss, the multivariable-adjusted relative risk (95% CI) of incident SCF decline was 1.30 (1.18, 1.42), 1.42 (1.26, 1.61), and 1.54 (1.22, 1.96) among men with mild, moderate, and severe hearing loss (no hearing aids), respectively (P-trend < .001). Among men with severe hearing loss who used hearing aids, the multivariable-adjusted relative risk (95% CI) was 1.37 (1.18, 1.60). DISCUSSION Hearing loss was associated with substantially higher risk of subsequent subjective cognitive decline in men.
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Affiliation(s)
- Sharon G Curhan
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA; Harvard Medical School, Boston, MA, USA.
| | - Walter C Willett
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Francine Grodstein
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Gary C Curhan
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA; Harvard Medical School, Boston, MA, USA; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Renal Division, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
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Lee MJ, Varadaraj V, Ramulu PY, Whitson HE, Deal JA, Swenor BK. Memory and Confusion Complaints in Visually Impaired Older Adults: An Understudied Aspect of Well-Being. Gerontol Geriatr Med 2019; 5:2333721418818944. [PMID: 30671493 PMCID: PMC6328951 DOI: 10.1177/2333721418818944] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2018] [Revised: 11/20/2018] [Accepted: 11/21/2018] [Indexed: 11/17/2022] Open
Abstract
Objective: To determine the prevalence of cognitive (memory or confusion) complaints in older adults with visual impairment (VI). Method: We assessed the relationship between VI (corrected visual acuity [VA] < 20/40) and self-reported confusion or problems with memory among participants aged 60 years to 85 years in the 1999-2006 cycles of National Health and Nutrition Examination Survey (n = 5,795). Prevalence estimates of cognitive complaints were calculated using Current Population Surveys. Results: Memory/confusion complaints were reported in 22% of the VI group and 11% of the no VI group (p < .001). In individuals aged ≥ 80 years, 30% of those with VI reported cognitive complaints, as compared with 19% with no VI (p = .003). In fully adjusted models, individuals with VI were more likely (OR = 1.3, p = .049) to report cognitive complaints as compared with those without VI. Conclusion: Subjective reports of memory or confusion are highly prevalent in older individuals with VI.
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Affiliation(s)
- Moon Jeong Lee
- Wilmer Eye Institute, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Varshini Varadaraj
- Wilmer Eye Institute, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Pradeep Y Ramulu
- Wilmer Eye Institute, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Heather E Whitson
- Duke University Medical Center, Durham, NC, USA.,Durham VA Medical Center, NC, USA
| | - Jennifer A Deal
- Department of Epidemiology, Johns Hopkins, Bloomberg School of Public Health, Baltimore, MD, USA.,The Johns Hopkins Cochlear Center for Hearing and Public Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Bonnielin K Swenor
- Wilmer Eye Institute, Johns Hopkins University School of Medicine, Baltimore, MD, USA
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Wilson RS, Barnes LL, Rajan KB, Boyle PA, Sytsma J, Weuve J, Evans DA. Antecedents and consequences of unawareness of memory impairment in dementia. Neuropsychology 2018; 32:931-940. [PMID: 30047756 PMCID: PMC6234063 DOI: 10.1037/neu0000437] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022] Open
Abstract
OBJECTIVE To assess the prevalence, antecedents, and consequences of unawareness of memory impairment in dementia. METHOD Persons (n = 1,862) from a geographically defined community without dementia at enrollment subsequently underwent clinical classification (248 with dementia, 611 with mild cognitive impairment, 1,003 with no cognitive impairment), memory testing, and self-appraisal of memory. Memory performance was regressed on self-appraised memory, and the residuals served as an index of memory awareness. After clinical classification, participants completed brief cognitive testing at 3-year intervals for up to 15 years. RESULTS When unawareness was defined as a score at or below thresholds ranging from the 15th to 25th percentiles, it was more common in dementia (67%-83%) and mild cognitive impairment (15%-33%) than in no cognitive impairment (2%-6%; all p < .001). A continuous measure of awareness (M = 0.00, SD = 0.61) was reduced by 0.37-unit in mild cognitive impairment (SE = 0.04, p < .001) and 1.04-unit in dementia (SE = 0.06), p < .001) compared with those without cognitive impairment, and these associations were weaker in Black persons than White persons (estimate for dementia by race = 0.37, SE = 0.12, p = .003; estimate for mild cognitive impairment by race = 0.30, SE = 0.08, p < .001). Higher premorbid neuroticism was associated with better memory awareness in dementia. Higher memory awareness was not related to mortality in mild cognitive impairment or dementia but had a marginal association with slower cognitive decline in mild cognitive impairment. CONCLUSIONS Unawareness of memory impairment is a common manifestation of dementia, particularly in White persons, but is not strongly related to adverse disease outcomes. (PsycINFO Database Record (c) 2018 APA, all rights reserved).
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Affiliation(s)
- Robert S. Wilson
- Rush Alzheimer’s Disease Center, Department of Neurological Sciences, Department of Behavioral Sciences, Rush University Medical Center, Chicago, IL
| | - Lisa L. Barnes
- Rush Alzheimer’s Disease Center, Department of Neurological Sciences, Department of Behavioral Sciences, Rush University Medical Center, Chicago, IL
| | - Kumar B. Rajan
- Rush Institute for Healthy Aging, Department of Internal Medicine, Rush University Medical Center, Chicago, IL
| | - Patricia A. Boyle
- Rush Alzheimer’s Disease Center, Department of Neurological Sciences, Department of Behavioral Sciences, Rush University Medical Center, Chicago, IL
| | - Joel Sytsma
- Rush Alzheimer’s Disease Center, Department of Neurological Sciences, Department of Behavioral Sciences, Rush University Medical Center, Chicago, IL
| | - Jennifer Weuve
- Department of Epidemiology, School of Public Health, Boston University, Boston, MA
| | - Denis A. Evans
- Rush Institute for Healthy Aging, Department of Internal Medicine, Rush University Medical Center, Chicago, IL
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Li K, Luo X, Zeng Q, Jiaerken Y, Xu X, Huang P, Shen Z, Xu J, Wang C, Zhou J, Zhang MM. Aberrant functional connectivity network in subjective memory complaint individuals relates to pathological biomarkers. Transl Neurodegener 2018; 7:27. [PMID: 30377523 PMCID: PMC6196458 DOI: 10.1186/s40035-018-0130-z] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2018] [Accepted: 09/20/2018] [Indexed: 11/10/2022] Open
Abstract
Background Individuals with subjective memory complaints (SMC) feature a higher risk of cognitive decline and clinical progression of Alzheimer's disease (AD). However, the pathological mechanism underlying SMC remains unclear. We aimed to assess the intrinsic connectivity network and its relationship with AD-related pathologies in SMC individuals. Methods We included 44 SMC individuals and 40 normal controls who underwent both resting-state functional MRI and positron emission tomography (PET). Based on graph theory approaches, we detected local and global functional connectivity across the whole brain by using degree centrality (DC) and eigenvector centrality (EC) respectively. Additionally, we analyzed amyloid deposition and tauopathy via florbetapir-PET imaging and cerebrospinal fluid (CSF) data. The voxel-wise two-sample T-test analysis was used to examine between-group differences in the intrinsic functional network and cerebral amyloid deposition. Then, we correlated these network metrics with pathological results. Results The SMC individuals showed higher DC in the bilateral hippocampus (HP) and left fusiform gyrus and lower DC in the inferior parietal region than controls. Across all subjects, the DC of the bilateral HP and left fusiform gyrus was positively associated with total tau and phosphorylated tau181. However, no significant between-group difference existed in EC and cerebral amyloid deposition. Conclusion We found impaired local, but not global, intrinsic connectivity networks in SMC individuals. Given the relationships between DC value and tau level, we hypothesized that functional changes in SMC individuals might relate to pathological biomarkers.
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Affiliation(s)
- Kaicheng Li
- 1Department of Radiology, 2nd Affiliated Hospital of Zhejiang University School of Medicine, No.88 Jie-fang Road, Shang-cheng District, Hangzhou, 310009 China
| | - Xiao Luo
- 1Department of Radiology, 2nd Affiliated Hospital of Zhejiang University School of Medicine, No.88 Jie-fang Road, Shang-cheng District, Hangzhou, 310009 China
| | - Qingze Zeng
- 1Department of Radiology, 2nd Affiliated Hospital of Zhejiang University School of Medicine, No.88 Jie-fang Road, Shang-cheng District, Hangzhou, 310009 China
| | - Yeerfan Jiaerken
- 1Department of Radiology, 2nd Affiliated Hospital of Zhejiang University School of Medicine, No.88 Jie-fang Road, Shang-cheng District, Hangzhou, 310009 China
| | - Xiaojun Xu
- 1Department of Radiology, 2nd Affiliated Hospital of Zhejiang University School of Medicine, No.88 Jie-fang Road, Shang-cheng District, Hangzhou, 310009 China
| | - Peiyu Huang
- 1Department of Radiology, 2nd Affiliated Hospital of Zhejiang University School of Medicine, No.88 Jie-fang Road, Shang-cheng District, Hangzhou, 310009 China
| | - Zhujing Shen
- 1Department of Radiology, 2nd Affiliated Hospital of Zhejiang University School of Medicine, No.88 Jie-fang Road, Shang-cheng District, Hangzhou, 310009 China
| | - Jingjing Xu
- 1Department of Radiology, 2nd Affiliated Hospital of Zhejiang University School of Medicine, No.88 Jie-fang Road, Shang-cheng District, Hangzhou, 310009 China
| | - Chao Wang
- 1Department of Radiology, 2nd Affiliated Hospital of Zhejiang University School of Medicine, No.88 Jie-fang Road, Shang-cheng District, Hangzhou, 310009 China
| | - Jiong Zhou
- Department of Neurology, 2nd Affiliated Hospital of Zhejiang University School of Medicine, Zhejiang, China
| | - Min-Ming Zhang
- 1Department of Radiology, 2nd Affiliated Hospital of Zhejiang University School of Medicine, No.88 Jie-fang Road, Shang-cheng District, Hangzhou, 310009 China
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Tu MC, Lo CP, Huang CF, Huang WH, Deng JF, Hsu YH. Visual Attention Performances and Related Cerebral Microstructural Integrity Among Subjects With Subjective Cognitive Decline and Mild Cognitive Impairment. Front Aging Neurosci 2018; 10:268. [PMID: 30245626 PMCID: PMC6137332 DOI: 10.3389/fnagi.2018.00268] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2018] [Accepted: 08/21/2018] [Indexed: 01/09/2023] Open
Abstract
Objective: To compare visual attention performances and diffusion tensor imaging (DTI) between subjects with subjective cognitive decline (SCD) and mild cognitive impairment (MCI), and to discover neuronal substrates related to visual attention performances. Methods: Thirty-nine subjects with SCD and 15 with MCI, diagnosed following neuropsychological tests and conventional brain magnetic resonance imaging, were recruited. All subjects were further examined by the Conners Continuous Performance Test 3 (CPT3) and DTI including fractional anisotropy (FA) and mean diffusivity (MD), in which group comparisons and stepwise linear regression were made. Results: Subjects with MCI had a worse performance in all retrieval indices of verbal/nonverbal memory tests than those with SCD in the context of comparable general cognition and demographic status. In the CPT3, subjects with MCI had a significant longer hit reaction time (HRT) by univariate but not multivariate comparisons. Further analysis suggested that a longer HRT across all interstimuli intervals and at the point of fourth to sixth blocks were noted among MCI subjects. In DTI evaluations, FA value within the left forceps major was the only hotspot with significant between-group differences after the Bonferroni correction of FA and MD values. On the basis that HRT had significant inverse correlations with FA value within the genu of the corpus callosum and left forceps minor, regression analysis was conducted, showing HRT was best predicted by the FA value within the left forceps minor. Area under receiver operative characteristic curve was 0.70; the optimum cut-off for HRT was 515.8 ms, with a sensitivity of 85% but specificity of 47%. Conclusions: Our report suggested that impaired sustained attention and vigilance to be an early cognitive marker in differentiating MCI from SCD, where MCI subjects had a longer HRT across all interstimuli intervals and more profoundly in later blocks. FA measures appeared to be more sensitive DTI parameters than MD values in detecting microstructural changes between SCD and MCI. The role of the anterior interhemispheric fibers in sustained attention implementation during visual signal detection task was highlighted.
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Affiliation(s)
- Min-Chien Tu
- Department of Neurology, Taichung Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, Taichung, Taiwan.,School of Medicine, Tzu Chi University, Hualien, Taiwan
| | - Chung-Ping Lo
- School of Medicine, Tzu Chi University, Hualien, Taiwan.,Department of Radiology, Taichung Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, Taichung, Taiwan
| | - Ching-Feng Huang
- Department of Neurology, Taichung Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, Taichung, Taiwan.,School of Medicine, Tzu Chi University, Hualien, Taiwan
| | - Wen-Hui Huang
- Department of Neurology, Taichung Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, Taichung, Taiwan
| | - Jie Fu Deng
- Department of Neurology, Taichung Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, Taichung, Taiwan
| | - Yen-Hsuan Hsu
- Department of Psychology, National Chung Cheng University, Chiayi, Taiwan.,Center for Innovative Research on Aging Society (CIRAS), National Chung Cheng University, Chiayi, Taiwan
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Lazarou I, Adam K, Georgiadis K, Tsolaki A, Nikolopoulos S, Yiannis Kompatsiaris I, Tsolaki M. Can a Novel High-Density EEG Approach Disentangle the Differences of Visual Event Related Potential (N170), Elicited by Negative Facial Stimuli, in People with Subjective Cognitive Impairment? J Alzheimers Dis 2018; 65:543-575. [PMID: 30103320 DOI: 10.3233/jad-180223] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
BACKGROUND Studies on subjective cognitive impairment (SCI) and neural activation report controversial results. OBJECTIVE To evaluate the ability to disentangle the differences of visual N170 ERP, generated by facial stimuli (Anger & Fear) as well as the cognitive deterioration of SCI, mild cognitive impairment (MCI), and Alzheimer's disease (AD) compared to healthy controls (HC). METHOD 57 people took part in this study. Images corresponding to facial stimuli of "Anger" and "Fear" were presented to 12 HC, 14 SCI, 17 MCI and 14 AD participants. EEG data were recorded by using a HD-EEG HydroCel with 256 channels. RESULTS Results showed that the amplitude of N170 can contribute in distinguishing the SCI group, since statistically significant differences were observed with the HC (p < 0.05) and the MCI group from HC (p < 0.001), as well as AD from HC (p = 0.05) during the processing of facial stimuli. Noticeable differences were also observed in the topographic distribution of the N170 amplitude, while localization analysis by using sLORETA images confirmed the activation of superior, middle-temporal, and frontal lobe brain regions. Finally, in the case of "Fear", SCI and HC demonstrated increased activation in the orbital and inferior frontal gyrus, respectively, MCI in the inferior temporal gyrus, and AD in the lingual gyrus. CONCLUSION These preliminary findings suggest that the amplitude of N170 elicited after negative facial stimuli could be modulated by the decline related to pathological cognitive aging and can contribute in distinguishing HC from SCI, MCI, and AD.
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Affiliation(s)
- Ioulietta Lazarou
- Information Technologies Institute, Centre for Research and Technology Hellas, Thessaloniki, Macedonia, Greece.,1st Department of Neurology, G.H. "AHEPA", School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, Thessaloniki, Macedonia, Greece
| | - Katerina Adam
- Information Technologies Institute, Centre for Research and Technology Hellas, Thessaloniki, Macedonia, Greece
| | - Kostas Georgiadis
- Information Technologies Institute, Centre for Research and Technology Hellas, Thessaloniki, Macedonia, Greece.,Informatics Department, Aristotle University of Thessaloniki, Thessaloniki, Macedonia, Greece
| | - Anthoula Tsolaki
- Information Technologies Institute, Centre for Research and Technology Hellas, Thessaloniki, Macedonia, Greece.,Laboratory of Medical Physic, Faculty of Health Sciences, School of Medicine, Aristotle University of Thessaloniki, Thessaloniki, Macedonia, Greece
| | - Spiros Nikolopoulos
- Information Technologies Institute, Centre for Research and Technology Hellas, Thessaloniki, Macedonia, Greece
| | | | - Magda Tsolaki
- Information Technologies Institute, Centre for Research and Technology Hellas, Thessaloniki, Macedonia, Greece.,1st Department of Neurology, G.H. "AHEPA", School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, Thessaloniki, Macedonia, Greece.,Greek Alzheimer's Association and Related Disorders (GAADRD), Thessaloniki, Macedonia, Greece
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Dardenne S, Delrieu J, Sourdet S, Cantet C, Andrieu S, Mathiex-Fortunet H, Fougère B, Vellas B. Memory Complaints and Cognitive Decline: Data from the GUIDAGE Study1. J Alzheimers Dis 2018; 60:1567-1578. [PMID: 28984580 DOI: 10.3233/jad-170229] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND Subjective cognitive decline (SCD) may be a very early symptom of Alzheimer's disease (AD) and may be associated with a cognitive decline in a cognitively normal population. The McNair and Kahn Scale was used to assess memory complaints in the GuidAge study. OBJECTIVE Our objectives were to examine if the McNair and Kahn Scale can predict cognitive decline and to screen which (if any) of the question(s) of this scale would better predict this cognitive decline. METHODS The GuidAge study was a phase III, multicenter, randomized, double blind, placebo-controlled study. Individuals aged 70 years and older, without cognitive impairment (Clinical Dementia Rate (CDR = 0)) at baseline who had spontaneously reported SCD were included in this study. The 20-item version of the McNair and Kahn Scale was used to assess SCD and a standardized neuropsychological assessment was used to assess the cognitive status. RESULTS 1,307 patients with SCD and with CDR = 0 at baseline were included. During the 5 years of follow-up, 519 patients showed cognitive decline. Incidence of aggravation score of CDR was 13.40% person years (95% CI [12.24-14.56]). Results showed a significant relationship between the McNair and Kahn Scale score and decline in cognitive performance (HR 1.012; 95% CI [1.002-1.021]; p = 0.0156). Among the 20 items, 5 were statistically significant to predict cognitive decline after adjustment. CONCLUSION SCD is a promising indicator of memory impairment. Our study found that using the McNair and Kahn scale can predict cognitive decline. A 5-item version of this scale could be used to screen patients in clinical practice and in clinical research.
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Affiliation(s)
- Sophie Dardenne
- Gérontopôle, Centre Hospitalier Universitaire de Toulouse, Toulouse, France.,Centre Hospitalier de Castres - Mazamet, Castres, France
| | - Julien Delrieu
- Gérontopôle, Centre Hospitalier Universitaire de Toulouse, Toulouse, France.,Inserm UMR1027, Universitéde Toulouse III Paul Sabatier, Toulouse, France
| | - Sandrine Sourdet
- Gérontopôle, Centre Hospitalier Universitaire de Toulouse, Toulouse, France.,Inserm UMR1027, Universitéde Toulouse III Paul Sabatier, Toulouse, France
| | - Christelle Cantet
- Gérontopôle, Centre Hospitalier Universitaire de Toulouse, Toulouse, France.,Inserm UMR1027, Universitéde Toulouse III Paul Sabatier, Toulouse, France
| | - Sandrine Andrieu
- Gérontopôle, Centre Hospitalier Universitaire de Toulouse, Toulouse, France.,Inserm UMR1027, Universitéde Toulouse III Paul Sabatier, Toulouse, France
| | | | - Bertrand Fougère
- Gérontopôle, Centre Hospitalier Universitaire de Toulouse, Toulouse, France.,Inserm UMR1027, Universitéde Toulouse III Paul Sabatier, Toulouse, France
| | - Bruno Vellas
- Gérontopôle, Centre Hospitalier Universitaire de Toulouse, Toulouse, France.,Inserm UMR1027, Universitéde Toulouse III Paul Sabatier, Toulouse, France
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Susceptibility to neurofibrillary tangles: role of the PTPRD locus and limited pleiotropy with other neuropathologies. Mol Psychiatry 2018; 23:1521-1529. [PMID: 28322283 PMCID: PMC5608624 DOI: 10.1038/mp.2017.20] [Citation(s) in RCA: 39] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/06/2016] [Accepted: 01/03/2017] [Indexed: 01/16/2023]
Abstract
Tauopathies, including Alzheimer's disease (AD) and other neurodegenerative conditions, are defined by a pathological hallmark: neurofibrillary tangles (NFTs). NFT accumulation is thought to be closely linked to cognitive decline in AD. Here, we perform a genome-wide association study for NFT pathologic burden and report the association of the PTPRD locus (rs560380, P=3.8 × 10-8) in 909 prospective autopsies. The association is replicated in an independent data set of 369 autopsies. The association of PTPRD with NFT is not dependent on the accumulation of amyloid pathology. In contrast, we found that the ZCWPW1 AD susceptibility variant influences NFT accumulation and that this effect is mediated by an accumulation of amyloid β plaques. We also performed complementary analyses to identify common pathways that influence multiple neuropathologies that coexist with NFT and found suggestive evidence that certain loci may influence multiple different neuropathological traits, including tau, amyloid β plaques, vascular injury and Lewy bodies. Overall, these analyses offer an evaluation of genetic susceptibility to NFT, a common end point for multiple different pathologic processes.
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Arvanitakis Z, Leurgans SE, Fleischman DA, Schneider JA, Rajan KB, Pruzin JJ, Shah RC, Evans DA, Barnes LL, Bennett DA. Memory complaints, dementia, and neuropathology in older blacks and whites. Ann Neurol 2018; 83:718-729. [PMID: 29466839 PMCID: PMC5912967 DOI: 10.1002/ana.25189] [Citation(s) in RCA: 34] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2017] [Revised: 02/16/2018] [Accepted: 02/19/2018] [Indexed: 01/16/2023]
Abstract
OBJECTIVE To determine relationships of memory complaints to cognitive function and decline, incident dementia, and neurodegenerative and other neuropathologies, as well as the population-attributable risk for dementia in older black and white persons. METHODS A total of 4,015 community-based persons (28% black; 74% women; mean baseline age = 78 years) were enrolled in 1 of 4 longitudinal cohort studies, and another 2,937 in a population-based cohort. Memory scores, assessed using 2 questions (5-point Likert scales) were categorized as complaints present or absent. Global cognition and 5 cognitive domains were derived from annual neuropsychological tests. Dementia was assessed from these tests and additional data. Neuropathologic data were available for 1,350 deceased subjects with brain autopsies. Regression and mixed effects models were used to examine relationships of memory complaints to cognition and neuropathology. RESULTS Baseline memory complaints (n = 1,310; 33% of 4,015) were associated with lower cognition and faster decline in all domains (global score estimate = -0.032, standard error = 0.004, p < 0.0001), during a mean follow-up of 6 (standard deviation = 2) years. Persons with memory complaints had higher dementia risk (hazard ratio = 1.64, 95% confidence interval [CI] = 1.42-1.89) and odds of pathologic Alzheimer disease (odds ratio [OR] = 1.96, 95% CI = 1.51-2.54), neocortical Lewy bodies (OR = 2.47, 95% CI = 1.54-3.96), and other neurodegenerative pathologies. Results for dementia risk were similar among blacks and whites. Among 2,937 older persons in a population-based cohort with similar data, the population-attributable risk for incident dementia due to memory complaints was 14.0% (95% CI = 2.6-23.0), and did not vary between the black and white groups. INTERPRETATION Memory complaints are common in older black and white persons, and relate to cognitive decline, dementia risk, and neurodegenerative pathologies. Ann Neurol 2018;83:718-729.
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Affiliation(s)
- Zoe Arvanitakis
- Rush Alzheimer's Disease Center.,Department of Neurological Sciences
| | - Sue E Leurgans
- Rush Alzheimer's Disease Center.,Department of Neurological Sciences
| | - Debra A Fleischman
- Rush Alzheimer's Disease Center.,Department of Neurological Sciences.,Department of Behavioral Sciences
| | - Julie A Schneider
- Rush Alzheimer's Disease Center.,Department of Neurological Sciences.,Department of Pathology
| | | | - Jeremy J Pruzin
- Rush Alzheimer's Disease Center.,Department of Neurological Sciences
| | - Raj C Shah
- Rush Alzheimer's Disease Center.,Department of Family Medicine, Rush University Medical Center, Chicago, IL
| | | | - Lisa L Barnes
- Rush Alzheimer's Disease Center.,Department of Neurological Sciences.,Department of Behavioral Sciences
| | - David A Bennett
- Rush Alzheimer's Disease Center.,Department of Neurological Sciences
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