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Ni H, Xue J, Qin J, Zhang Y. Accurate identification of individuals with subjective cognitive decline using 3D regional fractal dimensions on structural magnetic resonance imaging. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE 2024; 254:108281. [PMID: 38924798 DOI: 10.1016/j.cmpb.2024.108281] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/28/2023] [Revised: 05/04/2024] [Accepted: 06/06/2024] [Indexed: 06/28/2024]
Abstract
BACKGROUND AND OBJECTIVE Accurate identification of individuals with subjective cognitive decline (SCD) is crucial for early intervention and prevention of neurodegenerative diseases. Fractal dimensionality (FD) has emerged as a robust and replicable measure, surpassing traditional geometric metrics, in characterizing the intricate fractal geometrical properties of brain structure. Nevertheless, the effectiveness of FD in identifying individuals with SCD remains largely unclear. A 3D regional FD method can be suggested to characterize and quantify the spatial complexity of the precise gray matter, providing insights into cognitive aging and aiding in the automated identification of individuals with SCD. METHODS This study introduces a novel integer ratio based 3D box-counting fractal analysis (IRBCFA) to quantify regional fractal dimensions (FDs) in structural magnetic resonance imaging (MRI) data. The innovative method overcomes limitations of conventional box-counting techniques by accommodating arbitrary box sizes, thereby enhancing the precision of FD estimation in small, yet neurologically significant, brain regions. RESULTS The application of IRBCFA to two publicly available datasets, OASIS-3 and ADNI, consisting of 520 and 180 subjects, respectively. The method identified discriminative regions of interest (ROIs) predominantly within the limbic system, fronto-parietal region, occipito-temporal region, and basal ganglia-thalamus region. These ROIs exhibited significant correlations with cognitive functions, including executive functioning, memory, social cognition, and sensory perception, suggesting their potential as neuroimaging markers for SCD. The identification model trained on these ROIs demonstrated exceptional performance achieving over 93 % accuracy on the discovery dataset and exceeding 87 % on the independent testing dataset. Furthermore, an exchange experiment between datasets revealed a substantial overlap in discriminative ROIs, highlighting the robustness of our method across diverse populations. CONCLUSION Our findings indicate that IRBCFA can serve as a valuable tool for quantifying the spatial complexity of gray matter, providing insights into cognitive aging and aiding in the automated identification of individuals with SCD. The demonstrated generalizability and robustness of this method position it as a promising tool for neurodegenerative disease research and offer potential for clinical applications.
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Affiliation(s)
- Huangjing Ni
- School of Computer Science, Nanjing University of Posts and Telecommunications, Nanjing, 210003, China
| | - Jing Xue
- School of Computer Science, Nanjing University of Posts and Telecommunications, Nanjing, 210003, China
| | - Jiaolong Qin
- Key Laboratory of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education, School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, 210094, China.
| | - Yu Zhang
- Department of Clinical Psychology, Hangzhou First People's Hospital, Hangzhou, Zhejiang, 310006, China.
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Vauzour D, Minihane AM. Reply to M. Plourde and M. Stiffel. Am J Clin Nutr 2023; 118:1237-1238. [PMID: 37867131 DOI: 10.1016/j.ajcnut.2023.09.018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2023] [Accepted: 09/22/2023] [Indexed: 10/24/2023] Open
Affiliation(s)
- David Vauzour
- Norwich Medical School, University of East Anglia (UEA), Norwich, United Kingdom
| | - Anne Marie Minihane
- Norwich Medical School, University of East Anglia (UEA), Norwich, United Kingdom.
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Ly MT, Merritt VC, Ozturk ED, Clark AL, Hanson KL, Delano-Wood LM, Sorg SF. Subjective memory complaints are associated with decreased cortical thickness in Veterans with histories of mild traumatic brain injury. Clin Neuropsychol 2023; 37:1745-1765. [PMID: 36883430 DOI: 10.1080/13854046.2023.2184720] [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: 10/04/2022] [Accepted: 02/21/2023] [Indexed: 03/09/2023]
Abstract
Objective: Memory problems are frequently endorsed in Veterans following mild traumatic brain injury (mTBI), but subjective complaints are poorly associated with objective memory performance. Few studies have examined associations between subjective memory complaints and brain morphometry. We investigated whether self-reported memory problems were associated with objective memory performance and cortical thickness in Veterans with a history of mTBI. Methods: 40 Veterans with a history of remote mTBI and 29 Veterans with no history of TBI completed the Prospective-Retrospective Memory Questionnaire (PRMQ), PTSD Checklist (PCL), California Verbal Learning Test-2nd edition (CVLT-II), and 3 T T1 structural magnetic resonance imaging. Cortical thickness was estimated in 14 a priori frontal and temporal regions. Multiple regressions adjusting for age and PCL scores examined associations between PRMQ, CVLT-II scores, and cortical thickness within each Veteran group. Results: Greater subjective memory complaints on the PRMQ were associated with lower cortical thickness in the right middle temporal gyrus (β = 0.64, q = .004), right inferior temporal gyrus (β = 0.56, q = .014), right rostral middle frontal gyrus (β = 0.45, q = .046), and right rostral anterior cingulate gyrus (β = 0.58, q = .014) in the mTBI group but not the control group (q's > .05). These associations remained significant after adjusting for CVLT-II learning. CVLT-II performance was not associated with PRMQ score or cortical thickness in either group. Conclusions: Subjective memory complaints were associated with lower cortical thickness in right frontal and temporal regions, but not with objective memory performance, in Veterans with histories of mTBI. Subjective complaints post-mTBI may indicate underlying brain morphometry independently of objective cognitive testing.
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Affiliation(s)
- Monica T Ly
- Veterans Affairs San Diego Healthcare System (VASDHS), San Diego, CA, USA
- Department of Psychiatry, University of California San Diego Health, CA, USA
| | - Victoria C Merritt
- Veterans Affairs San Diego Healthcare System (VASDHS), San Diego, CA, USA
- Department of Psychiatry, University of California San Diego Health, CA, USA
- Center of Excellence for Stress and Mental Health, VASDHS, San Diego, CA, USA
| | - Erin D Ozturk
- Veterans Affairs San Diego Healthcare System (VASDHS), San Diego, CA, USA
- San Diego Joint Doctoral Program, San Diego State University/University of California San Diego, San Diego, CA, USA
| | - Alexandra L Clark
- Department of Psychology, The University of Texas at Austin, Austin, TX, USA
| | - Karen L Hanson
- Veterans Affairs San Diego Healthcare System (VASDHS), San Diego, CA, USA
- Department of Psychiatry, University of California San Diego Health, CA, USA
| | - Lisa M Delano-Wood
- Veterans Affairs San Diego Healthcare System (VASDHS), San Diego, CA, USA
- Department of Psychiatry, University of California San Diego Health, CA, USA
- Center of Excellence for Stress and Mental Health, VASDHS, San Diego, CA, USA
| | - Scott F Sorg
- Home Base, A Red Sox Foundation and Massachusetts General Hospital Program, Boston, MA, USA
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Göschel L, Kurz L, Dell'Orco A, Köbe T, Körtvélyessy P, Fillmer A, Aydin S, Riemann LT, Wang H, Ittermann B, Grittner U, Flöel A. 7T amygdala and hippocampus subfields in volumetry-based associations with memory: A 3-year follow-up study of early Alzheimer's disease. Neuroimage Clin 2023; 38:103439. [PMID: 37253284 PMCID: PMC10236463 DOI: 10.1016/j.nicl.2023.103439] [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: 03/02/2023] [Revised: 05/09/2023] [Accepted: 05/15/2023] [Indexed: 06/01/2023]
Abstract
INTRODUCTION The hippocampus is the most prominent single region of interest (ROI) for the diagnosis and prediction of Alzheimer's disease (AD). However, its suitability in the earliest stages of cognitive decline, i.e., subjective cognitive decline (SCD), remains uncertain which warrants the pursuit of alternative or complementary regions. The amygdala might be a promising candidate, given its implication in memory as well as other psychiatric disorders, e.g. depression and anxiety, which are prevalent in SCD. In this 7 tesla (T) magnetic resonance imaging (MRI) study, we aimed to compare the contribution of volumetric measurements of the hippocampus, the amygdala, and their respective subfields, for early diagnosis and prediction in an AD-related study population. METHODS Participants from a longitudinal study were grouped into SCD (n = 29), mild cognitive impairment (MCI, n = 23), AD (n = 22) and healthy control (HC, n = 31). All participants underwent 7T MRI at baseline and extensive neuropsychological testing at up to three visits (baseline n = 105, 1-year n = 78, 3-year n = 39). Analysis of covariance (ANCOVA) was used to assess group differences of baseline volumes of the amygdala and the hippocampus and their subfields. Linear mixed models were used to estimate the effects of baseline volumes on yearly changes of a z-scaled memory score. All models were adjusted to age, sex and education. RESULTS Compared to the HC group, individuals with SCD showed smaller amygdala ROI volumes (range across subfields -11% to -1%), but not hippocampus ROI volumes (-2% to 1%) except for the hippocampus-amygdala-transition-area (-7%). However, cross-sectional associations between baseline memory and volumes were smaller for amygdala ROIs (std. ß [95% CI] ranging between 0.16 [0.08; 0.25] and 0.46 [0.31; 0.60]) than hippocampus ROIs (between 0.32 [0.19; 0.44] and 0.53 [0.40; 0.67]). Further, the association of baseline volumes with yearly memory change in the HC and SCD groups was similarly weak for amygdala ROIs and hippocampus ROIs. In the MCI group, volumes of amygdala ROIs were associated with a relevant yearly memory decline [95% CI] ranging between -0.12 [-0.24; 0.00] and -0.26 [-0.42; -0.09] for individuals with 20% smaller volumes than the HC group. However, effects were stronger for hippocampus ROIs with a corresponding yearly memory decline ranging between -0.21 [-0.35; -0.07] and -0.31 [-0.50; -0.13]. CONCLUSION Volumes of amygdala ROIs, as determined by 7T MRI, might contribute to objectively and non-invasively identify patients with SCD, and thus aid early diagnosis and treatment of individuals at risk to develop dementia due to AD, however associations with other psychiatric disorders should be evaluated in further studies. The amygdala's value in the prediction of longitudinal memory changes in the SCD group remains questionable. Primarily in patients with MCI, memory decline over 3 years appears to be more strongly associated with volumes of hippocampus ROIs than amygdala ROIs.
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Affiliation(s)
- Laura Göschel
- Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Neurology, Charitéplatz 1, 10117 Berlin, Germany; Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, NCRC - Neuroscience Clinical Research Center, Charitéplatz 1, 10117 Berlin, Germany.
| | - Lea Kurz
- Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Neurology, Charitéplatz 1, 10117 Berlin, Germany; Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, NCRC - Neuroscience Clinical Research Center, Charitéplatz 1, 10117 Berlin, Germany
| | - Andrea Dell'Orco
- Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Neurology, Charitéplatz 1, 10117 Berlin, Germany; Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, NCRC - Neuroscience Clinical Research Center, Charitéplatz 1, 10117 Berlin, Germany; Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Neuroradiology, Charitéplatz 1, 10117 Berlin, Germany
| | - Theresa Köbe
- Deutsches Zentrum für Luft- und Raumfahrt e.V. Projektträger (DLR-PT), Berlin, Germany
| | - Peter Körtvélyessy
- Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Neurology, Charitéplatz 1, 10117 Berlin, Germany; German Center for Neurodegenerative Diseases (DZNE), site Magdeburg, Leipziger Strasse 44, 39120 Magdeburg, Germany
| | - Ariane Fillmer
- Physikalisch-Technische Bundesanstalt (PTB), Braunschweig and Berlin, Germany
| | - Semiha Aydin
- Physikalisch-Technische Bundesanstalt (PTB), Braunschweig and Berlin, Germany
| | - Layla Tabea Riemann
- Physikalisch-Technische Bundesanstalt (PTB), Braunschweig and Berlin, Germany; Institute for Applied Medical Informatics, University Hospital Hamburg-Eppendorf, Hamburg, Germany
| | - Hui Wang
- Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Neurology, Charitéplatz 1, 10117 Berlin, Germany; Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, NCRC - Neuroscience Clinical Research Center, Charitéplatz 1, 10117 Berlin, Germany; Department of Neurology and Pain Treatment, Immanuel Klinik Rüdersdorf, University Hospital of the Brandenburg Medical School Theodor Fontane, Rüdersdorf bei Berlin, Germany
| | - Bernd Ittermann
- Physikalisch-Technische Bundesanstalt (PTB), Braunschweig and Berlin, Germany
| | - Ulrike Grittner
- Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Institute of Biometry and Clinical Epidemiology, Charitéplatz 1, 10117 Berlin, Germany
| | - Agnes Flöel
- Department of Neurology, University Medicine Greifswald, Greifswald, Germany; German Center for Neurodegenerative Diseases (DZNE), Standort Rostock/Greifswald, Germany
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Li C, Hong Y, Yang X, Zeng X, Ocepek-Welikson K, Eimicke JP, Kong J, Sano M, Zhu C, Neugroschl J, Aloysi A, Cai D, Martin J, Loizos M, Sewell M, Akrivos J, Evans K, Sheppard F, Greenberg J, Ardolino A, Teresi JA. The use of subjective cognitive complaints for detecting mild cognitive impairment in older adults across cultural and linguistic groups: A comparison of the Cognitive Function Instrument to the Montreal Cognitive Assessment. Alzheimers Dement 2023; 19:1764-1774. [PMID: 36222321 PMCID: PMC10090224 DOI: 10.1002/alz.12804] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2022] [Revised: 07/26/2022] [Accepted: 08/11/2022] [Indexed: 11/11/2022]
Abstract
INTRODUCTION This pilot study aims to explore the psychometric properties of the Cognitive Function Instrument (CFI) as a measure of subjective cognitive complaints (SCC) and its performance in distinguishing mild cognitive impairment (MCI) from normal control (NC) compared to an objective cognitive screen (Montreal Cognitive Assessment [MoCA]). METHODS One hundred ninety-four community-dwelling non-demented older adults with racial/ethnic diversity were included. Unidimensionality and internal consistency of the CFI were examined using factor analysis, Cronbach's alpha, and McDonald's omega. Logistic regression models and receiver operating characteristic (ROC) analysis were used to examine the performance of CFI. RESULTS The CFI demonstrated adequate internal consistency; however, the fit for a unidimensional model was suboptimal. The CFI distinguished MCI from NC alone or in combination with MoCA. ROC analysis showed comparable performance of the CFI and the MoCA. DISCUSSION Our findings support the use of CFI as a brief and easy-to-use screen to detect MCI in culturally/linguistically diverse older adults. HIGHLIGHT What is the key scientific question or problem of central interest of the paper? Subjective cognitive complaints (SCCs) are considered the earliest sign of dementia in older adults. However, it is unclear if SCC are equivalent in different cultures. The Cognitive Function Instrument (CFI) is a 14-item measure of SCC. This study provides pilot data suggesting that CFI is sensitive for detecting mild cognitive impairment in a cohort of older adults with racial/ethnic diversity. Comparing performance, CFI demonstrates comparable sensitivity to the Montreal Cognitive Assessment, an objective cognitive screening test. Overall, SCC may provide a non-invasive, easy-to-use method to flag possible cognitive impairment in both research and clinical settings.
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Affiliation(s)
- Clara Li
- Alzheimer’s Disease Research Center, Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Yue Hong
- Salem Hospital, Mass General Brigham, Salem, MA, USA
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, USA
| | - Xiao Yang
- Alzheimer’s Disease Research Center, Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Xiaoyi Zeng
- Alzheimer’s Disease Research Center, Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Katja Ocepek-Welikson
- Columbia University Stroud Center, New York State Psychiatric Institute, New York, NY, USA
| | | | - Jian Kong
- Research Division, The Hebrew Home at Riverdale, Riverdale, NY, USA
| | - Mary Sano
- Alzheimer’s Disease Research Center, Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- James J. Peters VA Medical Center, New York, NY, USA
| | - Carolyn Zhu
- Alzheimer’s Disease Research Center, Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- James J. Peters VA Medical Center, New York, NY, USA
| | - Judith Neugroschl
- Alzheimer’s Disease Research Center, Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Amy Aloysi
- Alzheimer’s Disease Research Center, Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Dongming Cai
- Alzheimer’s Disease Research Center, Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- James J. Peters VA Medical Center, New York, NY, USA
| | - Jane Martin
- Alzheimer’s Disease Research Center, Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Maria Loizos
- Alzheimer’s Disease Research Center, Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Margaret Sewell
- Alzheimer’s Disease Research Center, Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Jimmy Akrivos
- Alzheimer’s Disease Research Center, Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Kirsten Evans
- James J. Peters VA Medical Center, New York, NY, USA
| | - Faye Sheppard
- Alzheimer’s Disease Research Center, Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Jonathan Greenberg
- Alzheimer’s Disease Research Center, Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Allison Ardolino
- Alzheimer’s Disease Research Center, Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Jeanne A. Teresi
- Columbia University Stroud Center, New York State Psychiatric Institute, New York, NY, USA
- Research Division, The Hebrew Home at Riverdale, Riverdale, NY, USA
- Mount Sinai Pepper Older Americans Independence Center, Department of Geriatrics and Palliative Medicine, Mount Sinai Medical Center, New York, NY, USA
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Zhao Z, Wang J, Wang Y, Liu X, He K, Guo Q, Xie F, Huang Q, Li Z. 18F-AV45 PET and MRI Reveal the Influencing Factors of Alzheimer's Disease Biomarkers in Subjective Cognitive Decline Population. J Alzheimers Dis 2023; 93:585-594. [PMID: 37066915 DOI: 10.3233/jad-221251] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/18/2023]
Abstract
BACKGROUND Subjective cognitive decline (SCD) is a self-perceived decline in cognitive ability, which exhibits no objective impairment but increased risk of conversion to mild cognitive impairment and Alzheimer's disease (AD). OBJECTIVE To investigate how influencing factors (risk gene, age, sex, and education) affect amyloid-β (Aβ) deposition and gray matter (GM) atrophy in SCD population. METHODS 281 SCD subjects were included in this study, who underwent clinical evaluation, cognitive ability assessment, apolipoprotein E (APOE) genotyping, 18F-Florbetapir positron emission computed tomography, and magnetic resonance imaging screening. Two-sample t tests and analysis of variance were performed based on voxel-wise outcome. RESULTS In 281 SCD subjects with an average age of 63.86, 194 subjects (69.04%) were female, and 56 subjects carried APOE ɛ4 genes. Statistical results revealed APOE ɛ4 gene, age, and sex influenced Aβ deposition in different brain regions; moreover, only the interaction exhibited between age and APOE ɛ4 genes. The GM atrophy of hippocampal, amygdala, precentral, and occipital lobes occurred in the group age over 60. The GM volume of the hippocampal, frontal, and occipital lobe in females was less than males. Education has an effect only on cognitive function. CONCLUSION In SCD, APOE ɛ4 gene, age, and sex significantly influenced Aβ deposition and APOE ɛ4 gene can interact with age in impacting Aβ deposition. Both age and sex can affect GM atrophy. The results suggested that female SCD with APOE ɛ4 genes and aged more than 60 years old might exhibit advanced AD biomarkers.
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Affiliation(s)
- Zixiao Zhao
- Center for Molecular Imaging and Translational Medicine, State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, Department of Laboratory Medicine, School of Public Health, Xiamen University, Xiamen, Fujian, China
| | - Jie Wang
- Department of Nuclear Medicine & PET Center, Huashan Hospital, Fudan University, Shanghai, China
| | - Ying Wang
- Department of Gerontology, Shanghai Jiaotong University Affiliated Sixth People's Hospital, Shanghai, China
| | - Xia Liu
- Center for Molecular Imaging and Translational Medicine, State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, Department of Laboratory Medicine, School of Public Health, Xiamen University, Xiamen, Fujian, China
| | - Kun He
- Department of Nuclear Medicine & PET Center, Huashan Hospital, Fudan University, Shanghai, China
| | - Qihao Guo
- Department of Gerontology, Shanghai Jiaotong University Affiliated Sixth People's Hospital, Shanghai, China
| | - Fang Xie
- Department of Nuclear Medicine & PET Center, Huashan Hospital, Fudan University, Shanghai, China
| | - Qi Huang
- Department of Nuclear Medicine & PET Center, Huashan Hospital, Fudan University, Shanghai, China
| | - Zijing Li
- Center for Molecular Imaging and Translational Medicine, State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, Department of Laboratory Medicine, School of Public Health, Xiamen University, Xiamen, Fujian, China
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Teles M, Shi D. Longitudinal association between subjective and objective memory in older adults: a study with the Virginia Cognitive Aging Project sample. NEUROPSYCHOLOGY, DEVELOPMENT, AND COGNITION. SECTION B, AGING, NEUROPSYCHOLOGY AND COGNITION 2023; 30:231-255. [PMID: 34844513 DOI: 10.1080/13825585.2021.2008862] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
Abstract
Using the bivariate dual change score approach, the present study investigated the directionality of the SMC-OMP association in a sample of healthy older adults (N = 2,057) from the Virginia Cognitive Aging Project. The sample was assessed throughout 10 years, five time points, and the impact of education, depressive symptoms, and low-memory functioning was tested. The Memory Functioning Questionnaire was used to assess SMC. There was a lack of longitudinal association with no significant coupling effects found between subjective and objective memory. After including depressive symptoms as a covariate, Frequency of Forgetting significantly predicted subsequent negative changes in OMP . A similar result was found for the low-memory functioning group after the inclusion of depression, with the frequency of memory complaints predicting subsequent memory decline . Our results do not support a predictive value of SMC without accounting for the influence of depressive symptoms and low-memory functioning.
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Affiliation(s)
- Mariana Teles
- Psychology, University of Virginia Charlottesville, VA, USA
| | - Dingjing Shi
- Psychology, University of Oklahoma, Norman, OK, USA
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Rivas-Fernández MÁ, Lindín M, Zurrón M, Díaz F, Lojo-Seoane C, Pereiro AX, Galdo-Álvarez S. Neuroanatomical and neurocognitive changes associated with subjective cognitive decline. Front Med (Lausanne) 2023; 10:1094799. [PMID: 36817776 PMCID: PMC9932036 DOI: 10.3389/fmed.2023.1094799] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2022] [Accepted: 01/17/2023] [Indexed: 02/05/2023] Open
Abstract
Introduction Subjective Cognitive Decline (SCD) can progress to mild cognitive impairment (MCI) and Alzheimer's disease (AD) dementia and thus may represent a preclinical stage of the AD continuum. However, evidence about structural changes observed in the brain during SCD remains inconsistent. Materials and methods This cross-sectional study aimed to evaluate, in subjects recruited from the CompAS project, neurocognitive and neurostructural differences between a group of forty-nine control subjects and forty-nine individuals who met the diagnostic criteria for SCD and exhibited high levels of subjective cognitive complaints (SCCs). Structural magnetic resonance imaging was used to compare neuroanatomical differences in brain volume and cortical thickness between both groups. Results Relative to the control group, the SCD group displayed structural changes involving frontal, parietal, and medial temporal lobe regions of critical importance in AD etiology and functionally related to several cognitive domains, including executive control, attention, memory, and language. Conclusion Despite the absence of clinical deficits, SCD may constitute a preclinical entity with a similar (although subtle) pattern of neuroanatomical changes to that observed in individuals with amnestic MCI or AD dementia.
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Affiliation(s)
- Miguel Ángel Rivas-Fernández
- Department of Clinical Psychology and Psychobiology, Universidade de Santiago de Compostela, Santiago de Compostela, Spain,Cognitive Neuroscience Research Group, Health Research Institute of Santiago de Compostela (IDIS), Santiago de Compostela, Spain
| | - Mónica Lindín
- Department of Clinical Psychology and Psychobiology, Universidade de Santiago de Compostela, Santiago de Compostela, Spain,Cognitive Neuroscience Research Group, Health Research Institute of Santiago de Compostela (IDIS), Santiago de Compostela, Spain
| | - Montserrat Zurrón
- Department of Clinical Psychology and Psychobiology, Universidade de Santiago de Compostela, Santiago de Compostela, Spain,Cognitive Neuroscience Research Group, Health Research Institute of Santiago de Compostela (IDIS), Santiago de Compostela, Spain
| | - Fernando Díaz
- Department of Clinical Psychology and Psychobiology, Universidade de Santiago de Compostela, Santiago de Compostela, Spain,Cognitive Neuroscience Research Group, Health Research Institute of Santiago de Compostela (IDIS), Santiago de Compostela, Spain
| | - Cristina Lojo-Seoane
- Cognitive Neuroscience Research Group, Health Research Institute of Santiago de Compostela (IDIS), Santiago de Compostela, Spain,Department of Developmental and Educational Psychology, Universidade de Santiago de Compostela, Santiago de Compostela, Spain
| | - Arturo X. Pereiro
- Cognitive Neuroscience Research Group, Health Research Institute of Santiago de Compostela (IDIS), Santiago de Compostela, Spain,Department of Developmental and Educational Psychology, Universidade de Santiago de Compostela, Santiago de Compostela, Spain
| | - Santiago Galdo-Álvarez
- Department of Clinical Psychology and Psychobiology, Universidade de Santiago de Compostela, Santiago de Compostela, Spain,Cognitive Neuroscience Research Group, Health Research Institute of Santiago de Compostela (IDIS), Santiago de Compostela, Spain,*Correspondence: Santiago Galdo-Álvarez,
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9
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Ben-Ami L, Ravona-Springer R, Tsarfaty G, Raizman R, Shumacher A, Sharvit-Ginon I, Greenbaum L, Bendlin BB, Okun E, Heymann A, Schnaider Beeri M, Livny A. Neural correlates of subjective cognitive decline in adults at high risk for Alzheimer's disease. Front Aging Neurosci 2023; 15:1067196. [PMID: 36819726 PMCID: PMC9930909 DOI: 10.3389/fnagi.2023.1067196] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2022] [Accepted: 01/16/2023] [Indexed: 02/04/2023] Open
Abstract
Introduction Recently, interest has emerged in subjective cognitive decline (SCD) as a potential precursor to Alzheimer's disease (AD) dementia. Whether individuals with SCD harbor brain alterations in midlife, when AD-related pathology begins, is yet to be elucidated. Furthermore, the role of apolipoprotein ε4 (APOE ε4) allele, a robust AD risk factor, in the relationship between SCD and brain alterations is unknown. We examined whether APOE genotype modulates the association of SCD with brain measures in individuals at high AD risk. Methods Middle-aged adults with parental history of AD dementia underwent magnetic resonance imaging (MRI) and the Memory Functioning Questionnaire. Regression analysis tested the extent to which SCD was associated with activation during an functional MRI (fMRI) working-memory task, and white-matter microstructure. APOE ε4 genotype was tested as a moderator. Results Among APOE ε4 carriers, but not among non-carriers, SCD was associated with higher activation in the anterior cingulate (p = 0.003), inferior, middle, and superior frontal cortices (p = 0.041, p = 0.048, p = 0.037, respectively); and with lower fractional anisotropy in the uncinate fasciculus (p = 0.002), adjusting for age, sex, and education. Conclusion In middle aged, cognitively normal individuals at high AD risk, higher SCD was associated with greater brain alterations possibly reflecting incipient AD pathology. When accompanied by a family history of AD and an APOE ε4 allele, SCD may have important clinical value, allowing a window for early intervention and for participants' stratification in AD prevention clinical trials.
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Affiliation(s)
- Liat Ben-Ami
- Division of Diagnostic Imaging, Sheba Medical Center, Ramat Gan, Israel,The Leslie and Susan Gonda Multidisciplinary Brain Research Center, Bar-Ilan University, Ramat Gan, Israel
| | - Ramit Ravona-Springer
- The Joseph Sagol Neuroscience Center, Sheba Medical Center, Tel HaShomer, Israel,Memory Clinic, Sheba Medical Center, Ramat Gan, Israel,Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Galia Tsarfaty
- Division of Diagnostic Imaging, Sheba Medical Center, Ramat Gan, Israel,Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Reut Raizman
- Division of Diagnostic Imaging, Sheba Medical Center, Ramat Gan, Israel
| | - Aleeza Shumacher
- Division of Diagnostic Imaging, Sheba Medical Center, Ramat Gan, Israel
| | - Inbal Sharvit-Ginon
- The Joseph Sagol Neuroscience Center, Sheba Medical Center, Tel HaShomer, Israel,Department of Psychology, Bar-Ilan University, Ramat Gan, Israel
| | - Lior Greenbaum
- The Joseph Sagol Neuroscience Center, Sheba Medical Center, Tel HaShomer, Israel,Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel,The Danek Gertner Institute of Human Genetics, Sheba Medical Center, Ramat Gan, Israel
| | - Barbara B. Bendlin
- Wisconsin Alzheimer’s Disease Research Center, School of Medicine and Public Health, University of Wisconsin–Madison, Madison, WI, United States
| | - Eitan Okun
- The Leslie and Susan Gonda Multidisciplinary Brain Research Center, Bar-Ilan University, Ramat Gan, Israel,The Mina and Everard Goodman Faculty of Life Sciences, Bar-Ilan University, Ramat Gan, Israel,The Paul Feder Laboratory on Alzheimer’s Disease Research, Bar-Ilan University, Ramat Gan, Israel
| | - Anthony Heymann
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel,Maccabi Healthcare Services, Tel Aviv, Israel
| | - Michal Schnaider Beeri
- The Joseph Sagol Neuroscience Center, Sheba Medical Center, Tel HaShomer, Israel,Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Abigail Livny
- Division of Diagnostic Imaging, Sheba Medical Center, Ramat Gan, Israel,The Joseph Sagol Neuroscience Center, Sheba Medical Center, Tel HaShomer, Israel,Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel,The Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel,*Correspondence: Abigail Livny,
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10
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Li Y, Bian J, Li Y. Attentional Control in Subjective Cognitive Decline. J Alzheimers Dis 2023; 96:551-561. [PMID: 37807777 DOI: 10.3233/jad-230037] [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] [Indexed: 10/10/2023]
Abstract
BACKGROUND Attention is an essential cognitive ability that is necessary in other cognitive processes. Only few studies have focused on decline in specific functions of attention in older adults with cognitive decline. No research explores the difference in the proactive and reactive mode of control between the healthy control (HC) and older adults with subjective cognitive decline (SCD). OBJECTIVE The current work investigated whether there was any decline in alerting, orienting, and executive control in SCD. Particularly, the present study further explored the impairment of the proactive and reactive control in SCD. METHODS We recruited 25 HC and 26 SCD. All participants first finished a set of neuropsychological assessments. They then completed an Attention Network Test for measuring the alerting, orienting, and executive control, the List-wide and the Item-specific Proportion Congruency Effect task for measuring the proactive and reactive mode of control, respectively. RESULTS No difference was found in alerting, orienting, and executive control measured by the ANT between SCD and HC. The results also indicated no difference in the reactive control between SCD and HC. However, older adults with SCD performed worse in the proactive control as compared to HC. CONCLUSION Older adults with SCD showed an impairment in the proactive control. The current findings help us better understand objective decline in cognitive domains other than memory and shed light on early assessment and prevention of AD.
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Affiliation(s)
- Yintong Li
- Department of Psychology, Renmin University of China, Beijing, China
| | - Jinghua Bian
- Department of Psychology, Renmin University of China, Beijing, China
| | - Yongna Li
- Department of Psychology, Renmin University of China, Beijing, China
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11
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Ren S, Hu J, Huang L, Li J, Jiang D, Hua F, Guan Y, Guo Q, Xie F, Huang Q. Graph Analysis of Functional Brain Topology Using Minimum Spanning Tree in Subjective Cognitive Decline. J Alzheimers Dis 2022; 90:1749-1759. [PMID: 36336928 DOI: 10.3233/jad-220527] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
BACKGROUND Subjects with subjective cognitive decline (SCD) are proposed as a potential population to screen for Alzheimer's disease (AD). OBJECTIVE Investigating brain topologies would help to mine the neuromechanisms of SCD and provide new insights into the pathogenesis of AD. METHODS Objectively cognitively unimpaired subjects from communities who underwent resting-state BOLD-fMRI and clinical assessments were included. The subjects were categorized into SCD and normal control (NC) groups according to whether they exhibited self-perceived cognitive decline and were worried about it. The minimum spanning tree (MST) of the functional brain network was calculated for each subject, based on which the efficiency and centrality of the brain network organization were explored. Hippocampal/parahippocampal volumes were also detected to reveal whether the early neurodegeneration of AD could be seen in SCD. RESULTS A total of 49 subjects in NC and 95 subjects in SCD group were included in this study. We found the efficiency and centrality of brain network organization, as well as the hippocampal/parahippocampal volume were preserved in SCD. Besides, SCD exhibited normal cognitions, including memory, language, and execution, but increased depressive and anxious levels. Interestingly, language and execution, instead of memory, showed a significant positive correlation with the maximum betweenness centrality of the functional brain organization and hippocampal/parahippocampal volume. Neither depressive nor anxious scales exhibited correlations with the brain functional topologies or hippocampal/parahippocampal volume. CONCLUSION SCD exhibited preserved efficiency and centrality of brain organization. In clinical practice, language and execution as well as depression and anxiety should be paid attention in SCD.
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Affiliation(s)
- Shuhua Ren
- PET Center, Huashan Hospital, Fudan University, Shanghai, China
| | - Jingchao Hu
- Department of Gerontology, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China.,School of Nursing, Shanghai Jiao Tong University, Shanghai, China
| | - Lin Huang
- Department of Gerontology, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China
| | - Junpeng Li
- PET Center, Huashan Hospital, Fudan University, Shanghai, China
| | - Donglang Jiang
- PET Center, Huashan Hospital, Fudan University, Shanghai, China
| | - Fengchun Hua
- Department of Nuclear Medicine, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Yihui Guan
- PET Center, Huashan Hospital, Fudan University, Shanghai, China
| | - Qihao Guo
- Department of Gerontology, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China
| | - Fang Xie
- PET Center, Huashan Hospital, Fudan University, Shanghai, China
| | - Qi Huang
- PET Center, Huashan Hospital, Fudan University, Shanghai, China
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12
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Arrondo P, Elía-Zudaire Ó, Martí-Andrés G, Fernández-Seara MA, Riverol M. Grey matter changes on brain MRI in subjective cognitive decline: a systematic review. Alzheimers Res Ther 2022; 14:98. [PMID: 35869559 PMCID: PMC9306106 DOI: 10.1186/s13195-022-01031-6] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2022] [Accepted: 06/15/2022] [Indexed: 11/25/2022]
Abstract
Introduction People with subjective cognitive decline (SCD) report cognitive deterioration. However, their performance in neuropsychological evaluation falls within the normal range. The present study aims to analyse whether structural magnetic resonance imaging (MRI) reveals grey matter changes in the SCD population compared with healthy normal controls (HC). Methods Parallel systematic searches in PubMed and Web of Science databases were conducted, following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Quality assessment was completed using the Newcastle-Ottawa Scale (NOS). Results Fifty-one MRI studies were included. Thirty-five studies used a region of interest (ROI) analysis, 15 used a voxel-based morphometry (VBM) analysis and 10 studies used a cortical thickness (CTh) analysis. Ten studies combined both, VBM or CTh analysis with ROI analysis. Conclusions Medial temporal structures, like the hippocampus or the entorhinal cortex (EC), seemed to present grey matter reduction in SCD compared with HC, but the samples and results are heterogeneous. Larger sample sizes could help to better determine if these grey matter changes are consistent in SCD subjects. Supplementary Information The online version contains supplementary material available at 10.1186/s13195-022-01031-6.
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13
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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: 0] [Impact Index Per Article: 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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14
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Yin S, Xiong J, Zhu X, Li R, Li J. Cognitive training modified age-related brain changes in older adults with subjective memory decline. Aging Ment Health 2022; 26:1997-2005. [PMID: 34498987 DOI: 10.1080/13607863.2021.1972931] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/25/2023]
Abstract
OBJECTIVES Neuroimaging findings suggest that older adults with subjective memory decline (SMD) demonstrate some neurodegenerative brain changes and have high risk of developing dementia, but relatively little is known about the effectiveness of interventions for SMD. This study aimed to examine the effects of cognitive training on resting-state brain activity in SMD. METHOD This study employed the amplitude of low frequency fluctuations (ALFF) and resting state functional connectivity (rs-FC) analyses. After baseline evaluations, participants were randomly allocated to the intervention and control group to receive a four-week cognitive training and lectures on health and aging, respectively. All participants were scanned before and after training with an interval of about three months. RESULTS (1) Participants in the intervention group showed significant improvements on the Associative Learning Test (ALT) and the Digit Span Forward task compared to the control group; (2) ALFF in the occipital lobe for the control group increased significantly, while that for the intervention group remained the same; ALFF changes were negatively correlated with ALT performance in the control group; (3) The mean value of rs-FC for the intervention group decreased, while that for the control group showed a trend of increase; rs-FC changes were also negatively correlated with ALT performance in the control group. CONCLUSIONS Resting-state brain activities in occipital region increased with aging. The cognitive training could counteract this brain function changes associated with aging or even reverse the changes. These findings provide new insights into the understanding of brain plasticity in posterior areas in SMD. TRIAL REGISTRATION ChiCTR-IOR-15006165 in the Chinese Clinical Trial Registry.
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Affiliation(s)
- Shufei Yin
- Department of Psychology, Faculty of Education, Hubei University, Wuhan, China.,Center on Aging Psychology, CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
| | - Jinli Xiong
- Department of Psychology, Faculty of Education, Hubei University, Wuhan, China
| | - Xinyi Zhu
- Center on Aging Psychology, CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China.,Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Rui Li
- Center on Aging Psychology, CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
| | - Juan Li
- Center on Aging Psychology, CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China.,Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
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15
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Wang Q, Chen B, Zhong X, Hou L, Zhang M, Yang M, Wu Z, Chen X, Mai N, Zhou H, Lin G, Zhang S, Ning Y. Static and dynamic functional connectivity variability of the anterior-posterior hippocampus with subjective cognitive decline. Alzheimers Res Ther 2022; 14:122. [PMID: 36057586 PMCID: PMC9440588 DOI: 10.1186/s13195-022-01066-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2021] [Accepted: 08/14/2022] [Indexed: 12/03/2022]
Abstract
Background Subjective cognitive decline (SCD) is a putative Alzheimer’s disease (AD) precursor without objective neuropsychological deficits. The hippocampus plays an important role in cognitive function and emotional responses and is generally aberrant in SCD. However, previous studies have mainly focused on static functional connectivity (sFC) by resting-state functional magnetic resonance imaging (fMRI) in SCD individuals, and it remains unclear whether hippocampal dynamic functional connectivity (dFC) changes exist in SCD and whether those changes are associated with subtle changes in cognitive function or affect. Methods Seventy SCD patients and 65 healthy controls were recruited. Demographic data, comprehensive neuropsychology assessments, and resting-state fMRI data were collected. The bilateral anterior and posterior hippocampi were selected as seeds to investigate the static and dynamic functional connectivity alterations in SCD. Results Compared to healthy controls, subjects with SCD exhibited: (1) decreased sFC between the left caudal hippocampus and left precuneus; (2) decreased dFC variability between the bilateral caudal hippocampus and precuneus; (3) increased dFC variability between the bilateral rostral hippocampus and caudate nucleus; and (4) increased dFC variability between the left rostral hippocampus and left olfactory cortex. Additionally, the attention scores were positively correlated with dFC variability between the left posterior hippocampus and left precuneus, and the dFC variability between the bilateral anterior hippocampus and caudate nucleus was positively correlated with depression scores and negatively correlated with global cognition scores. Conclusion SCD individuals exhibited abnormal sFC and dFC in the anterior-posterior hippocampus, and abnormal dFC was more widespread than abnormal sFC. A combination of sFC and dFC provides a new perspective for exploring the brain pathophysiological mechanisms in SCD and offers potential neuroimaging biomarkers for the early diagnosis and intervention of AD. Supplementary Information The online version contains supplementary material available at 10.1186/s13195-022-01066-9.
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16
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Yu M, Guan H, Fang Y, Yue L, Liu M. Domain-Prior-Induced Structural MRI Adaptation for Clinical Progression Prediction of Subjective Cognitive Decline. MEDICAL IMAGE COMPUTING AND COMPUTER-ASSISTED INTERVENTION : MICCAI ... INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING AND COMPUTER-ASSISTED INTERVENTION 2022; 13431:24-33. [PMID: 36173603 PMCID: PMC9513533 DOI: 10.1007/978-3-031-16431-6_3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
Growing evidence shows that subjective cognitive decline (SCD) among elderly individuals is the possible pre-clinical stage of Alzheimer's disease (AD). To prevent the potential disease conversion, it is critical to investigate biomarkers for SCD progression. Previous learning-based methods employ T1-weighted magnetic resonance imaging (MRI) data to aid the future progression prediction of SCD, but often fail to build reliable models due to the insufficient number of subjects and imbalanced sample classes. A few studies suggest building a model on a large-scale AD-related dataset and then applying it to another dataset for SCD progression via transfer learning. Unfortunately, they usually ignore significant data distribution gaps between different centers/domains. With the prior knowledge that SCD is at increased risk of underlying AD pathology, we propose a domain-prior-induced structural MRI adaptation (DSMA) method for SCD progression prediction by mitigating the distribution gap between SCD and AD groups. The proposed DSMA method consists of two parallel feature encoders for MRI feature learning in the labeled source domain and unlabeled target domain, an attention block to locate potential disease-associated brain regions, and a feature adaptation module based on maximum mean discrepancy (MMD) for cross-domain feature alignment. Experimental results on the public ADNI dataset and an SCD dataset demonstrate the superiority of our method over several state-of-the-arts.
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Affiliation(s)
- Minhui Yu
- Department of Radiology and BRIC, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Hao Guan
- Department of Radiology and BRIC, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Yuqi Fang
- Department of Radiology and BRIC, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Ling Yue
- Department of Geriatric Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China
| | - Mingxia Liu
- Department of Radiology and BRIC, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
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Zheng D, Tahir RA, Yan Y, Zhao J, Quan Z, Kang G, Han Y, Qing H. Screening of Human Circular RNAs as Biomarkers for Early Onset Detection of Alzheimer’s Disease. Front Neurosci 2022; 16:878287. [PMID: 35864990 PMCID: PMC9296062 DOI: 10.3389/fnins.2022.878287] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2022] [Accepted: 06/01/2022] [Indexed: 11/13/2022] Open
Abstract
Circular RNAs (circRNAs) are a distinctive type of endogenous non-coding RNAs, and their regulatory roles in neurological disorders have received immense attention. CircRNAs significantly contribute to the regulation of gene expression and progression of neurodegenerative disorders including Alzheimer’s disease (AD). The current study aimed to identify circRNAs as prognostic and potential biomarkers in AD. The differentially expressed circRNAs among subjective cognitive decline, amnestic mild cognitive impairment, and age-matched normal donors were determined through Arraystar Human circRNA Array V2 analysis. The annotations of circRNAs-microRNA interactions were predicted by employing Arraystar’s homemade microRNAs (miRNA) target prediction tool. Bioinformatics analyses comprising gene ontology enrichment, KEGG pathway, and network analysis were conducted. Microarray analysis revealed the 33 upregulated and 11 downregulated differentially expressed circRNAs (FC ≥ 1.5 and p-values ≤ 0.05). The top 10 differentially expressed upregulated and downregulated circRNAs have been chosen for further expression validation through quantitative real-time PCR and subsequently, hsa-circRNA_001481 and hsa_circRNA_000479 were confirmed experimentally. Bioinformatics analyses determined the circRNA-miRNA-mRNA interactions and microRNA response elements to inhibit the expression of miRNAs and mRNA targets. Gene ontology enrichment and KEGG pathways analysis revealed the functional clustering of target mRNAs suggesting the functional verification of these two promising circRNAs. It is concluded that human circRNA_001481 and circRNA_000479 could be utilized as potential biomarkers for the early onset detection of AD and the development of effective therapeutics.
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Affiliation(s)
- Da Zheng
- Key Laboratory of Molecular Medicine and Biotherapy in the Ministry of Industry and Information Technology, Department of Biology, School of Life Sciences, Beijing Institute of Technology, Beijing, China
| | - Rana Adnan Tahir
- Key Laboratory of Molecular Medicine and Biotherapy in the Ministry of Industry and Information Technology, Department of Biology, School of Life Sciences, Beijing Institute of Technology, Beijing, China
| | - Yan Yan
- Key Laboratory of Molecular Medicine and Biotherapy in the Ministry of Industry and Information Technology, Department of Biology, School of Life Sciences, Beijing Institute of Technology, Beijing, China
| | - Juan Zhao
- Key Laboratory of Molecular Medicine and Biotherapy in the Ministry of Industry and Information Technology, Department of Biology, School of Life Sciences, Beijing Institute of Technology, Beijing, China
| | - Zhenzhen Quan
- Key Laboratory of Molecular Medicine and Biotherapy in the Ministry of Industry and Information Technology, Department of Biology, School of Life Sciences, Beijing Institute of Technology, Beijing, China
| | - Guixia Kang
- Key Lab of Universal Wireless Communications of Ministry of Education, Beijing University of Posts and Telecommunications, Beijing, China
| | - Ying Han
- Biomedical Engineering Institute, Hainan University, Haikou, China
- Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China
- Center of Alzheimer’s Disease, Beijing Institute for Brain Disorders, Beijing, China
- National Clinical Research Center for Geriatric Disorders, Beijing, China
- *Correspondence: Ying Han,
| | - Hong Qing
- Key Laboratory of Molecular Medicine and Biotherapy in the Ministry of Industry and Information Technology, Department of Biology, School of Life Sciences, Beijing Institute of Technology, Beijing, China
- Hong Qing, , orcid.org/0000-0003-0216-4044
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18
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Fu Z, Zhao M, He Y, Wang X, Li X, Kang G, Han Y, Li S. Aberrant topological organization and age-related differences in the human connectome in subjective cognitive decline by using regional morphology from magnetic resonance imaging. Brain Struct Funct 2022; 227:2015-2033. [PMID: 35579698 DOI: 10.1007/s00429-022-02488-9] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2021] [Accepted: 03/24/2022] [Indexed: 11/25/2022]
Abstract
Subjective cognitive decline (SCD) is characterized by self-experienced deficits in cognitive capacity with normal performance in objective cognitive tests. Previous structural covariance studies showed specific insights into understanding the structural alterations of the brain in neurodegenerative diseases. Moreover, in subjects with neurodegenerative diseases, accelerated brain degeneration with aging was shown. However, the age-related variations in coordinated topological patterns of morphological networks in individuals with SCD remain poorly understood. In this study, 77 individual morphological networks were constructed, including 42 normal controls (NCs) and 35 SCD individuals, from structural magnetic resonance imaging (sMRI). A stepwise linear regression model and partial correlation analysis were constructed to evaluate the differences in age-related alterations of the network properties in individuals with SCD compared with NCs. Compared with NC, the properties of integration and segregation in individuals with SCD were lower, and the aberrant metrics were negatively correlated with age in SCD. The rich-club connections persevered, but the paralimbic system connections were disrupted in individuals with SCD compared with NCs. In addition, age-related differences in nodal global efficiency are distributed mainly in prefrontal cortex regions. In conclusion, the age-related disruption of topological organizations in individuals with SCD may indicate that the degeneration of brain efficiency with aging was accelerated in individuals with SCD.
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Affiliation(s)
- Zhenrong Fu
- Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science & Medical Engineering, Beihang University, Beijing, China
| | - Mingyan Zhao
- Department of Neurology, Tangshan Gongren Hospital, Tangshan, Hebei, China
- Department of Neurology, XuanWu Hospital of Capital Medical University, Beijing, China
| | - Yirong He
- Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science & Medical Engineering, Beihang University, Beijing, China
| | - Xuetong Wang
- Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science & Medical Engineering, Beihang University, Beijing, China
| | - Xin Li
- School of Electrical Engineering, Yanshan University, Qinhuangdao, China
- Measurement Technology and Instrumentation Key Lab of Hebei Province, Qinhuangdao, China
| | - Guixia Kang
- School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China
| | - Ying Han
- Department of Neurology, XuanWu Hospital of Capital Medical University, Beijing, China
- Center of Alzheimer's Disease, Beijing Institute for Brain Disorders, Beijing, China
- Biomedical Engineering Institute, Hainan University, Haikou, China
- National Clinical Research Center for Geriatric Disorders, Beijing, China
| | - Shuyu Li
- Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science & Medical Engineering, Beihang University, Beijing, China.
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19
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Sheng C, Yang K, He B, Li T, Wang X, Du W, Hu X, Jiang J, Jiang X, Jessen F, Han Y. Cross-Cultural Longitudinal Study on Cognitive Decline (CLoCODE) for Subjective Cognitive Decline in China and Germany: A Protocol for Study Design. J Alzheimers Dis 2022; 87:1319-1333. [PMID: 35431240 DOI: 10.3233/jad-215452] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Background: Subjective cognitive decline (SCD) is considered as the first symptomatic manifestation of Alzheimer’s disease (AD), which is also affected by different cultural backgrounds. Establishing cross-cultural prediction models of SCD is challenging. Objective: To establish prediction models of SCD available for both the Chinese and European populations. Methods: In this project, 330 SCD from China and 380 SCD from Germany are intended to be recruited. For all participants, standardized assessments, including clinical, neuropsychological, apolipoprotein E (APOE) genotype, blood, and multi-parameter magnetic resonance imaging (MRI) at baseline will be conducted. Participants will voluntarily undergo amyloid positron emission tomography (PET) and are classified into amyloid-β (Aβ) positive SCD (SCD+) and Aβ negative SCD (SCD-). First, baseline data of all SCD individuals between the two cohorts will be compared. Then, key features associated with brain amyloidosis will be extracted in SCD+ individuals, and the diagnosis model will be established using the radiomics method. Finally, the follow-up visits will be conducted every 12 months and the primary outcome is the conversion to mild cognitive impairment or dementia. After a 4-year follow-up, we will extract factors associated with the conversion risk of SCD using Cox regression analysis. Results: At present, 141 SCD from China and 338 SCD from Germany have been recruited. Initial analysis showed significant differences in demographic information, neuropsychological tests, and regional brain atrophy in SCD compared with controls in both cohorts. Conclusion: This project may be of great value for future implications of SCD studies in different cultural backgrounds. Trial registration: ClinicalTrials.gov, NCT04696315. Registered 3 January 2021.
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Affiliation(s)
- Can Sheng
- Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China
| | - Kun Yang
- Evidence-Based Medicine Center, Xuanwu Hospital of Capital Medical University, Beijing, China
- Department of Epidemiology and Biostatistics, School of Public Health, Capital Medical University, Beijing, China
| | - Beiqi He
- Key Laboratory of Biomedical Engineering of Hainan Province, School of Biomedical Engineering, Hainan University, Haikou, China
| | - Taoran Li
- Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China
| | - Xiaoqi Wang
- Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China
| | - Wenying Du
- Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China
| | - Xiaochen Hu
- Department of Psychiatry and Psychotherapy, Medical Faculty, University of Cologne, Cologne, Germany
| | - Jiehui Jiang
- Institute of Biomedical Engineering, School of Information and Communication Engineering, Shanghai University, Shanghai, China
| | - Xueyan Jiang
- Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China
- Key Laboratory of Biomedical Engineering of Hainan Province, School of Biomedical Engineering, Hainan University, Haikou, China
- German Center for Neurodegenerative Disease, Clinical Research Group, Bonn, Germany
| | - Frank Jessen
- Department of Psychiatry and Psychotherapy, Medical Faculty, University of Cologne, Cologne, Germany
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
- Excellence Cluster on Cellular Stress Responses in Aging-Associated Diseases (CECAD), University of Cologne, Cologne, Germany
| | - Ying Han
- Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China
- Key Laboratory of Biomedical Engineering of Hainan Province, School of Biomedical Engineering, Hainan University, Haikou, China
- Center of Alzheimer’s Disease, Beijing Institute for Brain Disorders, Beijing, China
- National Clinical Research Center for Geriatric Disorders, Beijing, China
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20
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Ronat L, Hoang VT, Hanganu A. Establishing an individualized model of conversion from normal cognition to Alzheimer's disease after 4 years, based on cognitive, brain morphology and neuropsychiatric characteristics. Int J Geriatr Psychiatry 2022; 37. [PMID: 35445762 DOI: 10.1002/gps.5718] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/06/2021] [Accepted: 04/04/2022] [Indexed: 11/05/2022]
Abstract
OBJECTIVES The impact of neuropsychiatric symptoms (NPS) on cognitive performance has been reported, and this impact was better defined in the aging population. Yet the potential of using the impact of NPS on brain and cognitive performance in a longitudinal setting, as prediction of conversion - have remained questionable. This study proposes to establish a predictive model of conversion to Alzheimer's disease (AD) and mild cognitive impairment (MCI) based on current cognitive performance, NPS and their associations with brain morphology. METHODS 156 participants with MCI from the Alzheimer's Disease Neuroimaging Initiative database cognitively stable after a 4-year follow-up were compared to 119 MCI participants who converted to AD. Each participant underwent a neuropsychological assessment evaluating verbal memory, language, executive and visuospatial functions, a neuropsychiatric inventory evaluation and a 3 Tesla MRI. The statistical analyses consisted of 1) baseline comparison between the groups; 2) analysis of covariance model (controlling demographic parameters including functional abilities) to specify the variables that distinguish the two subgroups and; 3) used the significant ANCOVA variables to construct a binary logistic regression model that generates a probability equation to convert to a lower cognitive performance state. RESULTS Results showed that MCI who converted to AD in comparison to stable MCI, exhibited a higher NPS prevalence, a lower cognitive performance and a higher number of involved brain structures. Functional abilities, memory performance and the sizes of inferior temporal, hippocampal and amygdala sizes were significant predictors of MCI to AD conversion. We also report two models of conversion that can be implemented on an individual basis for calculating the percentage risk of conversion after 4 years. CONCLUSION These analytical methods might be a good way to anticipate cognitive and brain declines.
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Affiliation(s)
- Lucas Ronat
- Centre de Recherche de l'Institut Universitaire de Gériatrie de Montréal, Montréal, Québec, Canada
- Faculté de Médecine, Département de Médecine, Université de Montréal, Montréal, Québec, Canada
| | - Van-Tien Hoang
- Centre de Recherche de l'Institut Universitaire de Gériatrie de Montréal, Montréal, Québec, Canada
| | - Alexandru Hanganu
- Centre de Recherche de l'Institut Universitaire de Gériatrie de Montréal, Montréal, Québec, Canada
- Faculté des Arts et des Sciences, Département de Psychologie, Université de Montréal, Montréal, Québec, Canada
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21
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Wu F, Davey S, Clendenen TV, Koenig KL, Afanasyeva Y, Zhou B, Bedi S, Li H, Zeleniuch-Jacquotte A, Chen Y. Gut Microbiota and Subjective Memory Complaints in Older Women. J Alzheimers Dis 2022; 88:251-262. [PMID: 35570486 PMCID: PMC9987476 DOI: 10.3233/jad-220011] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND Epidemiological studies that investigate alterations in gut microbial composition associated with cognitive dysfunction are limited. OBJECTIVE To examine the association between the gut microbiota and subjective memory complaints (SMCs), a self-reported, validated indicator of cognitive dysfunction. METHODS In this cross-sectional study of 95 older women selected from the New York University Women's Health Study (NYUWHS), we characterized the gut microbial composition using 16S rRNA gene sequencing. We estimated odds ratio (OR) from beta regression which approximates the ratio of mean relative abundances of individual bacterial taxon from phylum to genus levels by binary (2+ versus < 2) and continuous SMCs. RESULTS Women reporting 2 or more SMCs had higher relative abundances of genus Holdemania and family Desulfovibrionaceae compared with those reporting one or no complaint. Compared with women with < 2 SMCs, the relative abundances of Holdemania and family Desulfovibrionaceae were 2.09 times (OR: 2.09, 95% confidence interval [CI]: 1.38-3.17) and 2.10 times (OR: 2.10, 95% CI: 1.43-3.09) higher in women with 2+ SMCs, respectively (false discovery rate (FDR)-adjusted p = 0.038 and 0.010, respectively). A dose-response association was observed for genus Sutterella and family Desulfovibrionaceae. Every one-unit increase in SMCs was associated with 25% and 27% higher relative abundances of Sutterella (OR: 1.25; 95% CI: 1.11-1.40) and Desulfovibrionaceae (OR: 1.27; 95% CI: 1.13-1.42), respectively (FDR-adjusted p = 0.018 and 0.006, respectively). CONCLUSION Our findings support an association between alterations in the gut bacterial composition and cognitive dysfunction.
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Affiliation(s)
- Fen Wu
- Department of Population Health, New York University School of Medicine, New York, NY, USA
| | - Samuel Davey
- Department of Population Health, New York University School of Medicine, New York, NY, USA
| | - Tess V Clendenen
- Department of Population Health, New York University School of Medicine, New York, NY, USA
| | - Karen L Koenig
- Department of Population Health, New York University School of Medicine, New York, NY, USA
| | - Yelena Afanasyeva
- Department of Population Health, New York University School of Medicine, New York, NY, USA
| | - Boyan Zhou
- Department of Population Health, New York University School of Medicine, New York, NY, USA
| | - Sukhleen Bedi
- Department of Population Health, New York University School of Medicine, New York, NY, USA
| | - Huilin Li
- Department of Population Health, New York University School of Medicine, New York, NY, USA
| | | | - Yu Chen
- Department of Population Health, New York University School of Medicine, New York, NY, USA
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22
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Lemesle B, Barbeau EJ, Rigal EM, Denuelle M, Valton L, Pariente J, Curot J. Hidden Objective Memory Deficits Behind Subjective Memory Complaints in Patients With Temporal Lobe Epilepsy. Neurology 2021; 98:e818-e828. [PMID: 34906979 DOI: 10.1212/wnl.0000000000013212] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2021] [Accepted: 11/24/2021] [Indexed: 11/15/2022] Open
Abstract
OBJECTIVE To test the hypothesis that temporal lobe epilepsy (TLE) patients with subjective initial memory complaints (not confirmed by an objective standard assessment) and various phenotypes also show objective very long-term memory deficit with accelerated long-term forgetting. We tested TLE patients with two surprise memory tests after three weeks: the standard Free and Cued Selective Reminding Test (FCSRT), and Epireal, a new test specifically designed to capture more ecological aspects of autobiographical memory. METHODS 47 TLE patients (12 hippocampal sclerosis, 12 amygdala enlargement, 11 extensive lesions, 12 normal MRI) who complained about their memory, but for whom the standard neuropsychological assessment did not reveal any memory impairment after a standard delay of 20 minutes, underwent two surprise memory tests after three weeks. They were compared to 35 healthy control subjects. RESULTS After three weeks, FCSRT and Epireal recall scores were significantly lower in patients than in controls (p<0.001). There was no significant correlation between FCSRT and Epireal scores (p=0.99). Seventy-six percent of TLE patients had objective impairment on at least one of these very long-term memory tests, regardless of the existence and type of lesion or response to antiseizure medication. Easily applicable, Epireal had a higher effect size, detected deficits in 28% more patients, and is a useful addition to the standard workup. CONCLUSION Assessing long-term memory should be broadened to a wide spectrum of TLE patients with a memory complaint, regardless of the epileptic syndrome, whether or not associated with a lesion. This could lead to rethinking TLE nosology associated with memory.
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Affiliation(s)
- Béatrice Lemesle
- Department of Cognitive Neurology, Pierre Paul Riquet Hospital, Toulouse University Hospital, Toulouse, France
| | - Emmanuel J Barbeau
- Brain and Cognition Research Center - CerCo, CNRS, UMR5549, Toulouse, France.,Brain and Cognition Research Center, Toulouse University, Paul Sabatier University, Toulouse, France
| | - Emilie Milongo Rigal
- Department of Cognitive Neurology, Pierre Paul Riquet Hospital, Toulouse University Hospital, Toulouse, France
| | - Marie Denuelle
- Brain and Cognition Research Center - CerCo, CNRS, UMR5549, Toulouse, France.,Brain and Cognition Research Center, Toulouse University, Paul Sabatier University, Toulouse, France.,Department of Neurophysiological Explorations, Pierre Paul Riquet Hospital, Toulouse University Hospital, Toulouse, France
| | - Luc Valton
- Brain and Cognition Research Center - CerCo, CNRS, UMR5549, Toulouse, France.,Brain and Cognition Research Center, Toulouse University, Paul Sabatier University, Toulouse, France.,Department of Neurophysiological Explorations, Pierre Paul Riquet Hospital, Toulouse University Hospital, Toulouse, France
| | - Jeremie Pariente
- Department of Cognitive Neurology, Pierre Paul Riquet Hospital, Toulouse University Hospital, Toulouse, France.,INSERM, U1214, TONIC, Toulouse Mind and Brain Institute, Toulouse, France
| | - Jonathan Curot
- Brain and Cognition Research Center - CerCo, CNRS, UMR5549, Toulouse, France .,Brain and Cognition Research Center, Toulouse University, Paul Sabatier University, Toulouse, France.,Department of Neurophysiological Explorations, Pierre Paul Riquet Hospital, Toulouse University Hospital, Toulouse, France
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23
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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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24
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Cedres N, Diaz-Galvan P, Diaz-Flores L, Muehlboeck JS, Molina Y, Barroso J, Westman E, Ferreira D. The interplay between gray matter and white matter neurodegeneration in subjective cognitive decline. Aging (Albany NY) 2021; 13:19963-19977. [PMID: 34433132 PMCID: PMC8436909 DOI: 10.18632/aging.203467] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2021] [Accepted: 08/14/2021] [Indexed: 01/10/2023]
Abstract
Aims: To investigate the interplay between gray matter (GM) and white matter (WM) neurodegeneration in subjective cognitive decline (SCD), including thickness across the whole cortical mantle, hippocampal volume, and integrity across the whole WM. Methods: We included 225 cognitively unimpaired individuals from a community-based cohort. Subjective cognitive complaints were assessed through 9 questions covering amnestic and non-amnestic cognitive domains. In our cohort, 123 individuals endorsed from one to six subjective cognitive complaints (i.e. they fulfilled the diagnostic criteria for SCD), while 102 individuals reported zero complaints. GM neurodegeneration was assessed through measures of cortical thickness across the whole mantle and hippocampal volume. WM neurodegeneration was assessed through measures of mean diffusivity (MD) across the whole WM skeleton. Mediation analysis and multiple linear regression were conducted to investigate the interplay between the measures of GM and WM neurodegeneration. Results: A higher number of complaints was associated with reduced hippocampal volume, cortical thinning in several frontal and temporal areas and the insula, and higher MD across the WM skeleton, with a tendency to spare the occipital lobe. SCD-related cortical thinning and increased MD were associated with each other and jointly contributed to complaints, but the contribution of cortical thinning to the number of complaints was stronger. Conclusions: Neurodegeneration processes affecting the GM and WM seem to be associated with each other in SCD and include brain areas other than those typically targeted by Alzheimer’s disease. Our findings suggest that SCD may be a sensitive behavioral marker of heterogeneous brain pathologies in individuals recruited from the community.
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Affiliation(s)
- Nira Cedres
- Division of Clinical Geriatrics, Centre for Alzheimer Research, Department of Neurobiology, Care Sciences, and Society (NVS), Karolinska Institutet (KI), Stockholm, Sweden.,Department of Psychology, Sensory Cognitive Interaction Laboratory (SCI-lab), Stockholm University, Stockholm, Sweden
| | - Patricia Diaz-Galvan
- Division of Clinical Geriatrics, Centre for Alzheimer Research, Department of Neurobiology, Care Sciences, and Society (NVS), Karolinska Institutet (KI), Stockholm, Sweden.,Department of Radiology, Mayo Clinic, Rochester, MN 55905, USA
| | | | - J-Sebastian Muehlboeck
- Division of Clinical Geriatrics, Centre for Alzheimer Research, Department of Neurobiology, Care Sciences, and Society (NVS), Karolinska Institutet (KI), Stockholm, Sweden
| | - Yaiza Molina
- Faculty of Health Sciences, University Fernando Pessoa Canarias, Las Palmas de Gran Canaria, Spain
| | - José Barroso
- Faculty of Psychology, University of La Laguna, La Laguna, Tenerife, Spain
| | - Eric Westman
- Division of Clinical Geriatrics, Centre for Alzheimer Research, Department of Neurobiology, Care Sciences, and Society (NVS), Karolinska Institutet (KI), Stockholm, Sweden.,Department of Neuroimaging, Centre for Neuroimaging Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Daniel Ferreira
- Division of Clinical Geriatrics, Centre for Alzheimer Research, Department of Neurobiology, Care Sciences, and Society (NVS), Karolinska Institutet (KI), Stockholm, Sweden.,Department of Radiology, Mayo Clinic, Rochester, MN 55905, USA.,Faculty of Psychology, University of La Laguna, La Laguna, Tenerife, Spain
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25
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Tao W, Sun J, Li X, Shao W, Pei J, Yang C, Wang W, Xu K, Wang J, Zhang Z. The Anterior-posterior Functional Connectivity Disconnection in the Elderly with Subjective Memory Impairment and Amnestic Mild Cognitive Impairment. Curr Alzheimer Res 2021; 17:373-381. [PMID: 32448103 DOI: 10.2174/1567205017666200525015017] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2019] [Revised: 03/31/2020] [Accepted: 05/11/2020] [Indexed: 12/18/2022]
Abstract
BACKGROUND Subjective Memory Impairment (SMI) may tremendously increase the risk of Alzheimer's Disease (AD). The full understanding of the neuromechanism of SMI will shed light on the early intervention of AD. METHODS In the current study, 23 Healthy Controls (HC), 22 SMI subjects and 24 amnestic Mild Cognitive Impairment (aMCI) subjects underwent the comprehensive neuropsychological assessment and the resting-state functional magnetic resonance imaging scan. The difference in the connectivity of the Default Mode Network (DMN) and Functional Connectivity (FC) from the Region of Interest (ROI) to the whole brain were compared, respectively. RESULTS The results showed that HC and SMI subjects had significantly higher connectivity in the region of the precuneus area compared to aMCI subjects. However, from this region to the whole brain, SMI and aMCI subjects had significant FC decrease in the right anterior cingulum, left superior frontal and left medial superior frontal gyrus compared to HC. In addition, this FC change was significantly correlated with the cognitive function decline in participants. CONCLUSION Our study indicated that SMI subjects had relatively intact DMN connectivity but impaired FC between the anterior and posterior brain. The findings suggest that long-distance FC is more vulnerable than the short ones in the people with SMI.
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Affiliation(s)
- Wuhai Tao
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, 100875, China.,Center for Brain Disorders and Cognitive Neuroscience, Shenzhen University, Shenzhen, 518060, China
| | - Jinping Sun
- Department of Neurology, the Affiliated Hospital of Qingdao Universityaffiliated, Shandong, 266003, China
| | - Xin Li
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, 100875, China
| | - Wen Shao
- Department of Neurology, China-Japan Friendship Hospital, Beijing, 100029, China.,Graduate School of Peking Union Medical College, Beijing, 100730, China
| | - Jing Pei
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, 100875, China
| | - Caishui Yang
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, 100875, China
| | - Wenxiao Wang
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, 100875, China
| | - Kai Xu
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, 100875, China
| | - Jun Wang
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, 100875, China
| | - Zhanjun Zhang
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, 100875, China
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26
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Sheng C, Lin L, Lin H, Wang X, Han Y, Liu SL. Altered Gut Microbiota in Adults with Subjective Cognitive Decline: The SILCODE Study. J Alzheimers Dis 2021; 82:513-526. [PMID: 34024839 DOI: 10.3233/jad-210259] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
BACKGROUND Subjective cognitive decline (SCD) is the earliest symptomatic manifestation of preclinical Alzheimer's disease (AD). Gut microbiota may serve as a susceptibility factor for AD. Altered gut microbiota has been reported in patients with mild cognitive impairment (MCI) and AD dementia. However, whether gut microbial compositions changed in SCD remains largely unknown. OBJECTIVE To characterize the gut microbiota in SCD. METHODS In this study, a total of 105 participants including 38 normal controls (NC), 53 individuals with SCD, and 14 patients with cognitive impairment (CI) were recruited. Gut microbiota of all participants isolated from fecal samples were investigated using 16S ribosomal RNA (rRNA) Illumina Miseq sequencing technique. The gut microbial compositions were compared among the three groups, and the association between altered gut microbiota and cognitive performance was analyzed. To validate the alteration of gut microbiota in SCD, we conducted amyloid positron emission tomography (PET) in selected participants and further compared the gut microbiota among subgroups. RESULTS The abundance of phylum Firmicutes, class Clostridia, order Clostridiales, family Ruminococcaceae, and genus Faecalibacterium showed a trend toward a progressive decline from NC to SCD and CI. Specifically, the abundance of the anti-inflammatory genus Faecalibacterium was significantly decreased in SCD compared with NC. In addition, altered bacterial taxa among the three groups were associated with cognitive performance. The findings were validated in SCD participants with positive amyloid evidence. CONCLUSION The composition of gut microbiota is altered in individuals with SCD. This preliminary study will provide novel insights into the pathophysiological mechanism of AD.
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Affiliation(s)
- Can Sheng
- Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China
| | - Li Lin
- Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China
| | - Hua Lin
- Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China
| | - Xiaoni Wang
- Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China
| | - Ying Han
- Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China.,School of Biomedical Engineering, Hainan University, Haikou, China.,Center of Alzheimer's Disease, Beijing Institute for Brain Disorders, Beijing, China
| | - Shu-Lin Liu
- Genomics Research Center, State-Province Key Laboratories of Biomedicine Pharmaceutics of China, College of Pharmacy, Harbin Medical University, Harbin, China.,HMU-UCCSM Centre for Infection and Genomics, Harbin, China.,Translational Medicine Research and Cooperation Center of Northern China, Heilongjiang Academy of Medical Sciences, Harbin, China.,Department of Microbiology, Immunology and Infectious Diseases, University of Calgary, Calgary, AB, Canada
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27
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Stroehlein JK, Vieluf S, Zimmer P, Schenk A, Oberste M, Goelz C, van den Bongard F, Reinsberger C. Learning to play golf for elderly people with subjective memory complaints: feasibility of a single-blinded randomized pilot trial. BMC Neurol 2021; 21:200. [PMID: 34001020 PMCID: PMC8127313 DOI: 10.1186/s12883-021-02186-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2020] [Accepted: 03/24/2021] [Indexed: 12/29/2022] Open
Abstract
BACKGROUND Subjective Memory Complaints (SMC) in elderly people due to preclinical Alzheimer's Disease may be associated with dysregulation of the Kynurenine Pathway (KP), with an increase in neurotoxic metabolites that affect cognition. Golf is a challenging sport with high demands on motor, sensory, and cognitive abilities, which might bear the potential to attenuate the pathological changes of preclinical AD. This trial investigated the feasibility of learning to play golf for elderly with cognitive problems and its effects on cognitive functions and the KP. METHODS In a 22-week single-blinded randomized controlled trial, elderly people with SMC were allocated to the golf (n = 25, 180 min training/week) or control group (n = 21). Primary outcomes were feasibility (golf exam, adherence, adverse events) and general cognitive function (Alzheimer's Disease Assessment Scale). Secondary outcomes include specific cognitive functions (Response Inhibition, Corsi Block Tapping Test, Trail Making Test), KP metabolites and physical performance (6-Minute-Walk-Test). Baseline-adjusted Analysis-of-Covariance was conducted for each outcome. RESULTS 42 participants were analyzed. All participants that underwent the golf exam after the intervention passed it (20/23). Attendance rate of the golf intervention was 75 %. No adverse events or drop-outs related to the intervention occurred. A significant time*group interaction (p = 0.012, F = 7.050, Cohen's d = 0.89) was found for correct responses on the Response Inhibition task, but not for ADAS-Cog. Moreover, a significant time*group interaction for Quinolinic acid to Tryptophan ratios (p = 0.022, F = 5.769, Cohen's d = 0.84) in favor of the golf group was observed. An uncorrected negative correlation between attendance rate and delta Quinolinic acid to Kynurenic acid ratios in the golf group (p = 0.039, r=-0.443) was found as well. CONCLUSIONS The findings indicate that learning golf is feasible and safe for elderly people with cognitive problems. Preliminary results suggest positive effects on attention and the KP. To explore the whole potential of golfing and its effect on cognitive decline, a larger cohort should be studied over a longer period with higher cardiovascular demands. TRIAL REGISTRATION The trial was retrospectively registered (2nd July 2018) at the German Clinical Trials Register ( DRKS00014921 ).
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Affiliation(s)
- Julia K Stroehlein
- Department of Sports and Health, Institute of Sports Medicine, Paderborn University, Warburger Straße 100, 33098, Paderborn, Germany
| | - Solveig Vieluf
- Department of Sports and Health, Institute of Sports Medicine, Paderborn University, Warburger Straße 100, 33098, Paderborn, Germany
| | - Philipp Zimmer
- Department for Performance and Health, Institute for Sport and Sport Science, Technical University Dortmund, Otto-Hahn-Straße 3, 44227, Dortmund, Germany
| | - Alexander Schenk
- Department for Performance and Health, Institute for Sport and Sport Science, Technical University Dortmund, Otto-Hahn-Straße 3, 44227, Dortmund, Germany
| | - Max Oberste
- Institute of Medical Statistics and Computational Biology, Medical Faculty and University Hospital of Cologne, University of Cologne, Robert-Koch-Straße 10, 50931, Cologne, Germany
| | - Christian Goelz
- Department of Sports and Health, Institute of Sports Medicine, Paderborn University, Warburger Straße 100, 33098, Paderborn, Germany
| | - Franziska van den Bongard
- Department of Sports and Health, Institute of Sports Medicine, Paderborn University, Warburger Straße 100, 33098, Paderborn, Germany
| | - Claus Reinsberger
- Department of Sports and Health, Institute of Sports Medicine, Paderborn University, Warburger Straße 100, 33098, Paderborn, Germany.
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Mogle J, Hill NL, Turner JR. Individual Differences and Features of Self-reported Memory Lapses as Risk Factors for Alzheimer Disease Among Adults Aged 50 Years and Older: Protocol for a Coordinated Analysis Across Two Longitudinal Data Sets. JMIR Res Protoc 2021; 10:e25233. [PMID: 33988514 PMCID: PMC8164128 DOI: 10.2196/25233] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2020] [Revised: 03/29/2021] [Accepted: 04/13/2021] [Indexed: 02/04/2023] Open
Abstract
BACKGROUND Increasing evidence has promoted the clinical utility of self-reported memory problems for detecting early impairment associated with Alzheimer disease (AD). However, previous studies investigating memory problems often conflated the types of problems (ie, retrospective and prospective) with their features (ie, frequency and consequences). This bias limits the specificity of traditional measures of memory problems and minimizes their ability to detect differential trajectories associated with cognitive decline. In this study, we use a novel measure of self-reported memory problems that uses daily reports of memory lapses to disentangle types from features for analyzing the impact of each dimension in two longitudinal data sets. Furthermore, this study explores the individual difference factors of age and gender as potential moderators of the relationships between self-reported memory lapses and objective cognitive decline. OBJECTIVE The aim of this study is to describe the protocol for a secondary data analysis project that explores the relationship between experiences of daily memory lapses and their associations with cognitive decline in middle-aged and older adults. METHODS This study uses multilevel, coordinated analyses across two measurement burst data sets to examine the links between features and consequences of memory lapses (retrospective and prospective) and their association with objective cognitive decline. This study's sample (N=392; aged 50-85 years; n=254, 64.8% women) is drawn from two ongoing, nationally funded research studies: The Effects of Stress on Cognitive Aging, Physiology, and Emotion study and the Einstein Aging Study. Both studies assess the daily experience of memory lapses, including the type as well as the emotional and functional outcomes, and objective measures of cognition, such as processing speed and episodic memory. We will use multilevel modeling to test our conceptual model demonstrating that differences in frequency and types of memory lapses show differential trends in their relationships with cognitive decline and that these relationships vary by the age and gender of participants. RESULTS This project was funded in August 2019. The approval for secondary data analysis was given by the institutional review board in February 2020. Data analysis for this project has not yet started. CONCLUSIONS The early and accurate identification of individuals most at risk for cognitive decline is of paramount importance. Previous research exploring self-reported memory problems and AD is promising; however, limitations in measurement may explain previous reports of inconsistences. This study addresses these concerns by examining daily reports of memory lapses, how these vary by age and gender, and their relationship with objective cognitive performance. Overall, this study aims to identify the key features of daily memory lapses and the differential trajectories that best predict cognitive decline to help inform future AD risk screening tools. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID) DERR1-10.2196/25233.
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Affiliation(s)
- Jacqueline Mogle
- Edna Bennett Pierce Prevention Research Center, College of Health and Human Development, Pennsylvania State University, University Park, PA, United States
| | - Nikki L Hill
- College of Nursing, Pennsylvania State University, University Park, PA, United States
| | - Jennifer R Turner
- Edna Bennett Pierce Prevention Research Center, College of Health and Human Development, Pennsylvania State University, University Park, PA, United States
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Sun HH, Lin MY, Nouchi R, Wang PN, Cheng CH. Neuromagnetic evidence of abnormal automatic inhibitory function in subjective memory complaint. Eur J Neurosci 2021; 53:3350-3361. [PMID: 33754412 DOI: 10.1111/ejn.15196] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2020] [Revised: 02/21/2021] [Accepted: 03/16/2021] [Indexed: 12/17/2022]
Abstract
Subjective memory complaint (SMC), a self-perceived worsening in memory capacity concurrent with normal performance on standardized cognitive assessments, is considered a risk factor for the development of Alzheimer's disease (AD). Deficient sensory gating (SG), referring to the lack of automatic inhibition of neural responses to the second identical stimulus, has been documented in prodromal and incident AD patients. However, it remains unknown whether the cognitively normal elderly with SMC demonstrate alterations of SG function compared with those without SMC. A total of 19 healthy controls (HC) and 16 SMC subjects were included in the present study. Neural responses to the auditory paired-stimulus paradigm were recorded by the magnetoencephalography and analyzed by the distributed source imaging method of minimum norm estimate. The SG of M50 and M100 components were measured using the amplitude ratio of the second response over the first response at the cortical level. Compared to HC, subjects with SMC showed significantly increased M50 SG ratios in the inferior parietal lobule (IPL). Furthermore, M50 SG ratios in the right IPL yielded an acceptable discriminative ability to distinguish SMC from HC. However, we did not find a significant association between SG ratios and cognitive function requiring inhibitory control either in the HC or SMC group. In conclusion, although SMC subjects have intact cognitive functioning revealed by objective neuropsychological tests, their deficits in automatic inhibitory function could be detected through neurophysiological recordings. Our results suggest that altered brain function occurs in SMC prior to the obvious decline of cognitive performance.
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Affiliation(s)
- Hua-Hsuan Sun
- Department of Occupational Therapy and Graduate Institute of Behavioral Sciences, Chang Gung University, Taoyuan, Taiwan.,Laboratory of Brain Imaging and Neural Dynamics (BIND Lab), Chang Gung University, Taoyuan, Taiwan.,Bali Psychiatric Center, Ministry of Health and Welfare, New Taipei City, Taiwan
| | - Mei-Yin Lin
- Department of Physical Medicine and Rehabilitation, Taichung Hospital, Ministry of Health and Welfare, Taichung, Taiwan
| | - Rui Nouchi
- Department of Cognitive Health Science, Institute of Development, Aging and Cancer (IDAC), Tohoku University, Sendai, Japan.,Smart Aging Research Center (S.A.R.C), Tohoku University, Sendai, Japan
| | - Pei-Ning Wang
- Division of General Neurology, Department of Neurological Institute, Taipei Veterans General Hospital, Taipei, Taiwan.,Brain Research Center, National Yang Ming Chiao Tung University, Taipei, Taiwan.,Department of Neurology, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Chia-Hsiung Cheng
- Department of Occupational Therapy and Graduate Institute of Behavioral Sciences, Chang Gung University, Taoyuan, Taiwan.,Laboratory of Brain Imaging and Neural Dynamics (BIND Lab), Chang Gung University, Taoyuan, Taiwan.,Healthy Aging Research Center, Chang Gung University, Taoyuan, Taiwan.,Department of Psychiatry, Chang Gung Memorial Hospital, Linkou, Taiwan
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Reuben R, Karkaby L, McNamee C, Phillips NA, Einstein G. Menopause and cognitive complaints: are ovarian hormones linked with subjective cognitive decline? Climacteric 2021; 24:321-332. [PMID: 33719785 DOI: 10.1080/13697137.2021.1892627] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
Abstract
Subjective cognitive decline (SCD) and the loss of ovarian hormones after menopause have been independently linked to later-life Alzheimer's disease (AD). The objective of this review was to determine whether menopause and the loss of ovarian hormones contribute to cognitive complaints and SCD in women. This would suggest that SCD at the menopausal transition might be an important marker of eventual cognitive decline and AD. We conducted a literature search using PubMed, PsycINFO and Web of Science in July 2020. All English-language studies assessing SCD and cognitive complaints with respect to menopause and ovarian hormones were included. A total of 19 studies were included. Studies found that cognitive complaints increased across the menopause transition and were associated with reductions in attention, verbal and working memory, and medial temporal lobe volume. Women taking estrogen-decreasing treatments also had increased cognitive complaints and reduced working memory and executive function. The current literature provides impetus for further research on whether menopause and the loss of ovarian hormones are associated with cognitive complaints and SCD. Clinicians may take particular note of cognitive complaints after menopause or ovarian hormone loss, as they might presage future cognitive decline.
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Affiliation(s)
- R Reuben
- Department of Psychology, University of Toronto, Toronto, ON, Canada
| | - L Karkaby
- Department of Psychology, University of Toronto, Toronto, ON, Canada.,Tema Genus, Linköping University, Linköping, Sweden
| | - C McNamee
- Department of Psychology, University of Toronto, Toronto, ON, Canada
| | - N A Phillips
- Department of Psychology, Concordia University, Montreal, QC, Canada
| | - G Einstein
- Department of Psychology, University of Toronto, Toronto, ON, Canada.,Tema Genus, Linköping University, Linköping, Sweden.,Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada.,Rotman Research Institute, Baycrest, Toronto, Ontario, Canada
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31
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Sabbagh M, Miller J, Jones S, Ritter A, Shi J, DeCourt B, Wint D. Does Informant-Based Reporting of Cognitive Decline Correlate with Age-Adjusted Hippocampal Volume in Mild Cognitive Impairment and Alzheimer's Disease? J Alzheimers Dis Rep 2021; 5:207-211. [PMID: 33981957 PMCID: PMC8075551 DOI: 10.3233/adr-200260] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/25/2021] [Indexed: 11/26/2022] Open
Abstract
BACKGROUND Informant-based measures are effective screening tools for cognitive impairment. The Alzheimer's Questionnaire (AQ) is a subjective, informant-based measure that detects amnestic mild cognitive impairment (aMCI) and Alzheimer's disease (AD) with high sensitivity and specificity and has been shown to predict amyloid burden. OBJECTIVE To determine whether informant-based report of cognitive decline correlates with hippocampal volume changes in MCI and AD. METHODS Retrospective chart review of 139 clinically referred patients with clinical diagnoses of aMCI or mild dementia due to AD was conducted. Diagnostic status (clinical diagnosis made by a neurologist), NeuroQuant measured MRI brain with percentile rank hippocampal volume, Montreal Cognitive Assessment (MoCA) total, AQ-Total score, and demographic variables were extracted from medical records. Spearman correlation was used to assess the relationship between hippocampal volume and AQ-Total. The AQ was used to assign diagnostic status. Thus, the relationship between the AQ and diagnostic status was excluded. RESULTS The sample include 88 female and 51 male participants. The mean age was 74.37±9.45, mean MOCA was 22.65±4.18, mean education was 14.80±3.35, and mean AQ score was 10.54±5.22. Hippocampal volume and the AQ correlation was r = -0.33 [95%CI -0.47 to -0.17], p < 0.0001. CONCLUSION In a mixed-clinical sample of patients presenting to an outpatient memory disorders center, higher endorseme-nts of functional impairments by caregivers were significantly associated with smaller hippocampal volumes. When used in conjunction with other available measures, these findings further support the role of the AQ in clinical decision-making and demonstrate an additional relationship between clinical measures and volumetric MRI.
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Affiliation(s)
- Marwan Sabbagh
- Cleveland Clinic Lou Ruvo Center for Brain Health, Las Vegas, NV, USA
| | - Justin Miller
- Cleveland Clinic Lou Ruvo Center for Brain Health, Las Vegas, NV, USA
| | - Stephen Jones
- Department of Neuroradiology, Cleveland Clinic, Cleveland, OH, USA
| | - Aaron Ritter
- Cleveland Clinic Lou Ruvo Center for Brain Health, Las Vegas, NV, USA
| | - Jiong Shi
- Cleveland Clinic Lou Ruvo Center for Brain Health, Las Vegas, NV, USA
| | - Boris DeCourt
- Cleveland Clinic Lou Ruvo Center for Brain Health, Las Vegas, NV, USA
| | - Dylan Wint
- Cleveland Clinic Lou Ruvo Center for Brain Health, Las Vegas, NV, USA
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Topiwala A, Suri S, Allan C, Zsoldos E, Filippini N, Sexton CE, Mahmood A, Singh-Manoux A, Mackay CE, Kivimäki M, Ebmeier KP. Subjective Cognitive Complaints Given in Questionnaire: Relationship With Brain Structure, Cognitive Performance and Self-Reported Depressive Symptoms in a 25-Year Retrospective Cohort Study. Am J Geriatr Psychiatry 2021; 29:217-226. [PMID: 32736919 PMCID: PMC8097240 DOI: 10.1016/j.jagp.2020.07.002] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/07/2020] [Revised: 07/02/2020] [Accepted: 07/02/2020] [Indexed: 12/21/2022]
Abstract
BACKGROUND Subjective cognitive complaints are common but it is unclear whether they indicate an underlying pathological process or reflect affective symptoms. METHOD 800 community-dwelling older adults were drawn from the Whitehall II cohort. Subjective cognitive complaint inquiry for memory and concentration, a range of neuropsychological tests and multimodal MRI were performed in 2012-2016. Subjective complaints were again elicited after 1 year. Group differences in grey and white matter, between those with and without subjective complaints, were assessed using voxel-based morphometry and tract-based spatial statistics, respectively. Mixed effects models assessed whether cognitive decline or depressive symptoms (over a 25-year period) were associated with later subjective complaints. Analyses were controlled for potential confounders and multiple comparisons. RESULTS Mean age of the sample at scanning was 69.8 years (±5.1, range: 60.3-84.6). Subjective memory complaints were common (41%) and predicted further similar complaints later (mean 1.4 ± 1.4 years). There were no group differences in grey matter density or white matter integrity. Subjective complaints were not cross-sectionally or longitudinally associated with objectively assessed cognition. However, those with subjective complaints reported higher depressive symptoms ("poor concentration": odds ratio = 1.12, 95% CI 1.07-1.18; "poor memory": odds ratio = 1.18, 1.12-1.24). CONCLUSIONS In our sample subjective complaints were consistent over time and reflected depressive symptoms but not markers of neurodegenerative brain damage or concurrent or future objective cognitive impairment. Clinicians assessing patients presenting with memory complaints should be vigilant for affective disorders. These results question the rationale for including subjective complaints in a spectrum with Mild Cognitive Impairment diagnostic criteria.
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Affiliation(s)
- Anya Topiwala
- Department of Psychiatry (AT, SS, CA,EZ, NF, CES, AM, CEM, KPE), University of Oxford, Oxford, UK; Big Data Institute (AT), University of Oxford, Oxford, UK.
| | - Sana Suri
- Department of Psychiatry, University of Oxford, Oxford, UK,Wellcome Centre for Integrative Neuroimaging, Oxford, UK
| | - Charlotte Allan
- Department of Psychiatry, University of Oxford, Oxford, UK,Institute of Translational and Clinical Research, Newcastle University / Cumbria, Northumberland, Tyne and Wear NHS Foundation Trust, UK
| | - Enikő Zsoldos
- Department of Psychiatry, University of Oxford, Oxford, UK,Wellcome Centre for Integrative Neuroimaging, Oxford, UK
| | - Nicola Filippini
- Department of Psychiatry, University of Oxford, Oxford, UK,Wellcome Centre for Integrative Neuroimaging, Oxford, UK
| | - Claire E. Sexton
- Department of Psychiatry, University of Oxford, Oxford, UK,Wellcome Centre for Integrative Neuroimaging, Oxford, UK,Global Brain Health Institute, Memory and Aging Center, Department of Neurology, University of California, San Francisco, USA
| | - Abda Mahmood
- Department of Psychiatry, University of Oxford, Oxford, UK
| | - Archana Singh-Manoux
- Université de Paris, INSERM U1153, Paris, France,Department of Epidemiology and Public Health, University College London, London UK
| | - Clare E. Mackay
- Department of Psychiatry, University of Oxford, Oxford, UK,Wellcome Centre for Integrative Neuroimaging, Oxford, UK
| | - Mika Kivimäki
- Department of Epidemiology and Public Health, University College London, London UK
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Structural imaging outcomes in subjective cognitive decline: Community vs. clinical-based samples. Exp Gerontol 2020; 145:111216. [PMID: 33340685 DOI: 10.1016/j.exger.2020.111216] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2020] [Revised: 11/13/2020] [Accepted: 12/05/2020] [Indexed: 11/21/2022]
Abstract
Subjective cognitive decline (SCD) has been proposed as a preclinical stage of Alzheimer's disease (AD). Neuroimaging studies have suggested early AD-like structural brain alterations in SCD subjects compared to healthy controls. However, there is substantial heterogeneity in the results, which might depend on whether SCD samples were drawn from the community or from memory clinics. Here we reviewed brain atrophy, assessed through structural magnetic resonance imaging, separately for SCD-community and clinic-based samples. SCD-community samples show a more consistent pattern of atrophy, involving the hippocampus and temporal and parietal cortices. Similarly, in SCD-clinic samples the temporo-parietal cortex showed early vulnerability, however these studies reported a more heterogeneous atrophy pattern. Overall, these studies suggest both commonalities and differences in brain atrophy patterns between SCD clinical and community samples. In SCD-community, the temporal cortex is involved, while SCD-clinical exhibited a more complex pattern of atrophy, which may be related to a more heterogeneous sample reporting neuropsychiatric symptoms along with preclinical AD.
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34
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Pike KE, Chong MS, Hume CH, Keech BJ, Konjarski M, Landolt KA, Leslie BE, Russo A, Thai C, Vilsten JS, Kinsella GJ. Providing Online Memory Interventions for Older Adults: A Critical Review and Recommendations for Development. AUSTRALIAN PSYCHOLOGIST 2020. [DOI: 10.1111/ap.12339] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Affiliation(s)
| | - Mei San Chong
- School of Psychology and Public Health, La Trobe University,
| | | | | | | | | | | | - Adrian Russo
- School of Psychology and Public Health, La Trobe University,
| | - Christine Thai
- School of Psychology and Public Health, La Trobe University,
| | | | - Glynda Jane Kinsella
- School of Psychology and Public Health, La Trobe University,
- Department of Psychology, Caulfield Hospital,
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Moore EE, Liu D, Bown CW, Kresge HA, Gupta DK, Pechman KR, Mendes LA, Davis LT, Gifford KA, Anderson AW, Wang TJ, Landman BA, Hohman TJ, Jefferson AL. Lower cardiac output is associated with neurodegeneration among older adults with normal cognition but not mild cognitive impairment. Brain Imaging Behav 2020; 15:2040-2050. [PMID: 33040257 PMCID: PMC8035362 DOI: 10.1007/s11682-020-00398-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/07/2020] [Indexed: 01/21/2023]
Abstract
Subclinical cardiac dysfunction is associated with smaller total brain volume on magnetic resonance imaging (MRI). To study whether cardiac output relates to regional measurements of grey and white matter structure, older adults (n = 326) underwent echocardiogram to quantify cardiac output (L/min) and brain MRI. Linear regressions related cardiac output to grey matter volumes measured on T1 and white matter hyperintensities assessed on T2-FLAIR. Voxelwise analyses related cardiac output to diffusion tensor imaging adjusting for demographic, genetic, and vascular risk factors. Follow-up models assessed a cardiac output x diagnosis interaction with stratification (normal cognition, mild cognitive impairment). Cardiac output interacted with diagnosis, such that lower cardiac output related to smaller total grey matter (p = 0.01), frontal lobe (p = 0.01), and occipital lobe volumes (p = 0.01) among participants with normal cognition. When excluding participants with cardiovascular disease and atrial fibrillation, associations emerged with smaller parietal lobe (p = 0.005) and hippocampal volume (p = 0.05). Subtle age-related cardiac changes may disrupt neuronal homeostasis and impact grey matter integrity prior to cognitive impairment.
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Affiliation(s)
- Elizabeth E Moore
- Vanderbilt Memory & Alzheimer's Center, Vanderbilt University Medical Center, 1207 17th Avenue South, Suite 204, Nashville, TN, 37212, USA
- Medical Scientist Training Program, School of Medicine, Vanderbilt University, Nashville, TN, USA
| | - Dandan Liu
- Vanderbilt Memory & Alzheimer's Center, Vanderbilt University Medical Center, 1207 17th Avenue South, Suite 204, Nashville, TN, 37212, USA
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Corey W Bown
- Vanderbilt Memory & Alzheimer's Center, Vanderbilt University Medical Center, 1207 17th Avenue South, Suite 204, Nashville, TN, 37212, USA
| | - Hailey A Kresge
- Vanderbilt Memory & Alzheimer's Center, Vanderbilt University Medical Center, 1207 17th Avenue South, Suite 204, Nashville, TN, 37212, USA
| | - Deepak K Gupta
- Division of Cardiovascular Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Kimberly R Pechman
- Vanderbilt Memory & Alzheimer's Center, Vanderbilt University Medical Center, 1207 17th Avenue South, Suite 204, Nashville, TN, 37212, USA
- Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Lisa A Mendes
- Division of Cardiovascular Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - L Taylor Davis
- Vanderbilt Memory & Alzheimer's Center, Vanderbilt University Medical Center, 1207 17th Avenue South, Suite 204, Nashville, TN, 37212, USA
- Department of Radiology & Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Katherine A Gifford
- Vanderbilt Memory & Alzheimer's Center, Vanderbilt University Medical Center, 1207 17th Avenue South, Suite 204, Nashville, TN, 37212, USA
- Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Adam W Anderson
- Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, USA
| | - Thomas J Wang
- Division of Cardiovascular Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Bennett A Landman
- Department of Radiology & Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, USA
- Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, USA
- Department of Electrical Engineering and Computer Science, Vanderbilt University, Nashville, TN, USA
| | - Timothy J Hohman
- Vanderbilt Memory & Alzheimer's Center, Vanderbilt University Medical Center, 1207 17th Avenue South, Suite 204, Nashville, TN, 37212, USA
- Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Angela L Jefferson
- Vanderbilt Memory & Alzheimer's Center, Vanderbilt University Medical Center, 1207 17th Avenue South, Suite 204, Nashville, TN, 37212, USA.
- Division of Cardiovascular Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.
- Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, USA.
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Rabin LA, Wang C, Mogle JA, Lipton RB, Derby CA, Katz MJ. An approach to classifying subjective cognitive decline in community-dwelling elders. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2020; 12:e12103. [PMID: 33015309 PMCID: PMC7521594 DOI: 10.1002/dad2.12103] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/08/2020] [Revised: 08/06/2020] [Accepted: 08/12/2020] [Indexed: 11/05/2022]
Abstract
INTRODUCTION Subjective cognitive decline (SCD) may be an early symptomatic manifestation of Alzheimer's disease, though published research largely neglects how to classify SCD in community-based studies. METHODS In neuropsychologically intact Einstein Aging Study participants (n = 1115; mean age = 78; 63% female; 30% non-White), we used Cox models to examine the association between self-perceived cognitive functioning at baseline (using three different approaches) and incident amnestic mild cognitive impairment (aMCI) with covariates of age, sex, education, race/ethnicity, general (objective) cognition, depressive symptoms, and four other SCD-related features. RESULTS After a median of 3 years, 198 participants developed aMCI. In models that included all the variables, self-perceived cognitive functioning was consistently associated with incident aMCI as were age, general cognition, and perceived control; apolipoprotein E (APOE) ε4 allele status was significant in one model. We set cut points that optimized the diagnostic accuracy of SCD at various time frames. DISCUSSION We provide an approach to SCD classification and discuss implications for cognitive aging studies.
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Affiliation(s)
- Laura A. Rabin
- Department of PsychologyBrooklyn CollegeCity University of New York (CUNY)BrooklynNew YorkUSA
- Department of PsychologyGraduate CenterCity University of New York (CUNY)New YorkNew YorkUSA
- Saul R. Korey Department of NeurologyAlbert Einstein College of MedicineBronxNew YorkUSA
| | - Cuiling Wang
- Saul R. Korey Department of NeurologyAlbert Einstein College of MedicineBronxNew YorkUSA
- Department of Epidemiology and Population HealthAlbert Einstein College of MedicineBronxNew YorkUSA
| | - Jacqueline A. Mogle
- Edna Bennett Pierce Prevention Research CenterThe Pennsylvania State University, University ParkPennsylvaniaUSA
| | - Richard B. Lipton
- Saul R. Korey Department of NeurologyAlbert Einstein College of MedicineBronxNew YorkUSA
- Department of Epidemiology and Population HealthAlbert Einstein College of MedicineBronxNew YorkUSA
- Department of Psychiatry and Behavioral MedicineAlbert Einstein College of MedicineBronxNew YorkUSA
| | - Carol A. Derby
- Saul R. Korey Department of NeurologyAlbert Einstein College of MedicineBronxNew YorkUSA
- Department of Epidemiology and Population HealthAlbert Einstein College of MedicineBronxNew YorkUSA
| | - Mindy J. Katz
- Saul R. Korey Department of NeurologyAlbert Einstein College of MedicineBronxNew YorkUSA
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Wang X, Huang W, Su L, Xing Y, Jessen F, Sun Y, Shu N, Han Y. Neuroimaging advances regarding subjective cognitive decline in preclinical Alzheimer's disease. Mol Neurodegener 2020; 15:55. [PMID: 32962744 PMCID: PMC7507636 DOI: 10.1186/s13024-020-00395-3] [Citation(s) in RCA: 97] [Impact Index Per Article: 24.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2020] [Accepted: 08/07/2020] [Indexed: 12/15/2022] Open
Abstract
Subjective cognitive decline (SCD) is regarded as the first clinical manifestation in the Alzheimer’s disease (AD) continuum. Investigating populations with SCD is important for understanding the early pathological mechanisms of AD and identifying SCD-related biomarkers, which are critical for the early detection of AD. With the advent of advanced neuroimaging techniques, such as positron emission tomography (PET) and magnetic resonance imaging (MRI), accumulating evidence has revealed structural and functional brain alterations related to the symptoms of SCD. In this review, we summarize the main imaging features and key findings regarding SCD related to AD, from local and regional data to connectivity-based imaging measures, with the aim of delineating a multimodal imaging signature of SCD due to AD. Additionally, the interaction of SCD with other risk factors for dementia due to AD, such as age and the Apolipoprotein E (ApoE) ɛ4 status, has also been described. Finally, the possible explanations for the inconsistent and heterogeneous neuroimaging findings observed in individuals with SCD are discussed, along with future directions. Overall, the literature reveals a preferential vulnerability of AD signature regions in SCD in the context of AD, supporting the notion that individuals with SCD share a similar pattern of brain alterations with patients with mild cognitive impairment (MCI) and dementia due to AD. We conclude that these neuroimaging techniques, particularly multimodal neuroimaging techniques, have great potential for identifying the underlying pathological alterations associated with SCD. More longitudinal studies with larger sample sizes combined with more advanced imaging modeling approaches such as artificial intelligence are still warranted to establish their clinical utility.
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Affiliation(s)
- Xiaoqi Wang
- Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, 100053, China.,Center of Alzheimer's Disease, Beijing Institute for Brain Disorders, Beijing, China
| | - Weijie Huang
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, 100875, China.,Center for Collaboration and Innovation in Brain and Learning Sciences, Beijing Normal University, Beijing, China.,Beijing Key Laboratory of Brain Imaging and Connectomics, Beijing Normal University, Beijing, China
| | - Li Su
- Department of Psychiatry, University of Cambridge, Cambridge, UK.,Sino-Britain Centre for Cognition and Ageing Research, Southwest University, Chongqing, China
| | - Yue Xing
- Radiological Sciences, Division of Clinical Neuroscience, University of Nottingham, Nottingham, UK
| | - Frank Jessen
- Department of Psychiatry and Psychotherapy, Medical Faculty, University of Cologne, 50937, Cologne, Germany.,German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany.,Excellence Cluster on Cellular Stress Responses in Aging-Associated Diseases (CECAD), University of Cologne, Cologne, Germany
| | - Yu Sun
- Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, 100053, China. .,Center of Alzheimer's Disease, Beijing Institute for Brain Disorders, Beijing, China.
| | - Ni Shu
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, 100875, China. .,Center for Collaboration and Innovation in Brain and Learning Sciences, Beijing Normal University, Beijing, China. .,Beijing Key Laboratory of Brain Imaging and Connectomics, Beijing Normal University, Beijing, China.
| | - Ying Han
- Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, 100053, China. .,Center of Alzheimer's Disease, Beijing Institute for Brain Disorders, Beijing, China. .,National Clinical Research Center for Geriatric Disorders, Beijing, China.
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Sheng C, Yang K, Wang X, Li H, Li T, Lin L, Liu Y, Yang Q, Wang X, Wang X, Sun Y, Han Y. Advances in Non-Pharmacological Interventions for Subjective Cognitive Decline: A Systematic Review and Meta-Analysis. J Alzheimers Dis 2020; 77:903-920. [PMID: 32741806 DOI: 10.3233/jad-191295] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Background: Subjective cognitive decline (SCD) is considered the earliest symptomatic manifestation of preclinical Alzheimer’s disease (AD). Currently, given the lack of effective and curable pharmacological treatments for AD, non-pharmacological interventions (NPIs) for individuals with SCD may provide a valuable opportunity for the secondary prevention of AD. Objective: This systematic review and meta-analysis, conducted in accordance with the PRISMA guidelines, aimed to investigate the benefits of current NPIs in the population with SCD. Methods: The online electronic databases, including MEDLINE, Cochrane Central Register of Controlled Trials, EMBASE, PsycInfo, and CINAHL, were searched to identify randomized controlled trials of NPIs for SCD. Intervention strategies were psychological and health-related education interventions, mind-body therapy, lifestyle modification, cognitive training, and multidomain interventions. Outcomes included subjective memory, objective memory, global cognitive function, psychological well-being, and mood. Study quality was determined using the criteria of the Cochrane collaboration’s tool. The Hedges’ g of change was analyzed. Results: Eighteen studies were included in this review and meta-analysis. Overall, psychological and health-related education interventions exhibited a medium effect on objective memory function (Hedges’ g = 0.53, p = 0.01). Cognitive training led to a small effect on objective memory, which was marginal statistically (Hedges’ g = 0.19, p = 0.05). In addition, cognitive training also significantly improved subjective memory performance (Hedges’ g = 0.49, p = 0.0003) and psychological well-being (Hedges’ g = 0.27, p = 0.03). Conclusion: Overall, the psychological intervention and cognitive training may be beneficial to cognitive function and psychological well-being. NPIs may be effectively implemented in older adults with SCD.
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Affiliation(s)
- Can Sheng
- Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China
- Department of Neurology, the First Hospital of Tsinghua University, Beijing, China
| | - Kun Yang
- Evidence-Based Medicine Center, Xuanwu Hospital of Capital Medical University, Beijing, China
| | - Xiaoni Wang
- Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China
| | - Hongyan Li
- Department of Neurology, Civil Aviation General Hospital, Beijing, China
| | - Taoran Li
- Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China
| | - Li Lin
- Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China
| | - Yi Liu
- Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China
| | - Qin Yang
- Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China
| | - Xiaoqi Wang
- Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China
| | - Xue Wang
- Department of Library, Xuanwu Hospital of Capital Medical University, Beijing, China
| | - Yu Sun
- Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China
| | - Ying Han
- Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China
- Center of Alzheimer’s Disease, Beijing Institute for Brain Disorders, Beijing, China
- National Clinical Research Center for Geriatric Disorders, Beijing, China
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Dauphinot V, Bouteloup V, Mangin J, Vellas B, Pasquier F, Blanc F, Hanon O, Gabelle A, Annweiler C, David R, Planche V, Godefroy O, Rivasseau‐Jonveaux T, Chupin M, Fischer C, Chêne G, Dufouil C, Krolak‐Salmon P. Subjective cognitive and non-cognitive complaints and brain MRI biomarkers in the MEMENTO cohort. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2020; 12:e12051. [PMID: 32647745 PMCID: PMC7335902 DOI: 10.1002/dad2.12051] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/12/2020] [Revised: 05/23/2020] [Accepted: 05/26/2020] [Indexed: 12/05/2022]
Abstract
INTRODUCTION Subjective cognitive complaints may be a signature of preclinical stage Alzheimer's disease. However, the link between subjective cognitive and non-cognitive complaints and brain alterations remains unclear. METHODS The relationship between cognitive and non-cognitive complaints and brain biomarkers, measured by structural magnetic resonance imaging, was investigated in 2056 participants of the MEMENTO cohort of outpatients, who were dementia-free at baseline. We assessed whether the cognitive status at inclusion or the presence of the apolipoprotein E gene variant (APOE) ε4 could modulate the association between the intensity of complaints and brain lesions. RESULTS Smaller hippocampal volume was associated with higher memory complaints and discomfort in daily life. In APOE ε4 carriers, smaller whole-brain white matter and gray matter volumes and gyrification indices in several regions of interest of the parietal and temporal lobes, in the entorhinal and the para-hippocampal gyrus, were associated with higher memory complaint score. CONCLUSIONS The intensity of subjective complaints in not only memory but discomfort in daily life was associated with brain degeneration markers. The presence of APOE ε4 modulated the relationships between subjective memory complaints and brain alterations.
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Affiliation(s)
- Virginie Dauphinot
- Clinical and Research Memory Centre of LyonLyon Institute for ElderlyCharpennes HospitalUniversity Hospital of LyonLyonFrance
| | - Vincent Bouteloup
- InsermBordeaux Population Health Research CenterUMR 1219Bordeaux UniversityISPEDBordeaux UniversityBordeauxFrance
- University hospital of BordeauxPublic Health CenterBordeauxFrance
| | - Jean‐François Mangin
- CATI Multicenter Neuroimaging Platform (http://cati‐neuroimaging.com)Gif‐sur‐YvetteParisFrance
- NeurospinCEAParis‐Saclay UniversityGif‐sur‐YvetteFrance
| | - Bruno Vellas
- GérontopôleUniversity hospital of Toulouse (CHU Toulouse)ToulouseFrance
- Inserm UMR1027University of Toulouse III Paul SabatierToulouseFrance
| | - Florence Pasquier
- Univ LilleInserm 1171, CHUClinical and Research Memory Research Centre (CMRR) of DistalzLilleFrance
| | - Frédéric Blanc
- Clinical and Memory Research Centre of Strasbourg (CMRR)University hostpital of StrasbourgGeriatrics unitGeriatric Day HospitalStrasbourgFrance
| | - Olivier Hanon
- Geriatry unitParis Descartes UniversityBroca hospitalParisFrance
| | - Audrey Gabelle
- Clinical and Research Memory center of MontpellierDepartment of NeurologyGui de Chauliac HospitalUniversity of MontpellierMontpellierFrance
| | - Cédric Annweiler
- Department of Geriatric MedicineAngers University HospitalAngers University Memory Clinic; Research Center on Autonomy and Longevity; UPRES EA 4638University of AngersAngersFrance
- Robarts Research InstituteDepartment of Medical BiophysicsSchulich School of Medicine and Dentistrythe University of Western OntarioLondonOntarioCanada
| | - Renaud David
- Clinical and Research Memory Centre of Nice University hospital of NiceEA COBTeKCôte d'Azur UniversityNiceFrance
| | - Vincent Planche
- Clinical and Research Memory Centre of BordeauxClinical neurosciences centreUniversity hospital of BordeauxF‐33000 BordeauxFrance et 2. Univ. BordeauxCNRSgérontopole Institute of Neurodegenerative DiseasesBordeauxFrance
| | - Olivier Godefroy
- Departments of NeurologyAmiens University Hospital (CHU Amiens)and Laboratory of Functional Neurosciences (EA 4559)Jules Verne University of PicardieAmiensFrance
- Institute of the Brain and Spinal CordInsermU1127,3 CNRS, UMR 7225Sorbonne UniversityParisFrance
| | - Thérèse Rivasseau‐Jonveaux
- Clinical and Research Memory Centre of LorraineHospital of BraboisCognitive‐behavioral unitPaul Spillmann CentreCHRU de NancyFrance
- Communications Research GroupInterpsy EA4432 PsychologyUniversity of LorraineNancyFrance
| | - Marie Chupin
- CATI Multicenter Neuroimaging Platform (http://cati‐neuroimaging.com)Gif‐sur‐YvetteParisFrance
- NeurospinCEAParis‐Saclay UniversityGif‐sur‐YvetteFrance
| | - Clara Fischer
- CATI Multicenter Neuroimaging Platform (http://cati‐neuroimaging.com)Gif‐sur‐YvetteParisFrance
- NeurospinCEAParis‐Saclay UniversityGif‐sur‐YvetteFrance
| | - Geneviève Chêne
- InsermBordeaux Population Health Research CenterUMR 1219Bordeaux UniversityISPEDBordeaux UniversityBordeauxFrance
- University hospital of BordeauxPublic Health CenterBordeauxFrance
| | - Carole Dufouil
- InsermBordeaux Population Health Research CenterUMR 1219Bordeaux UniversityISPEDBordeaux UniversityBordeauxFrance
- University hospital of BordeauxPublic Health CenterBordeauxFrance
| | - Pierre Krolak‐Salmon
- Clinical and Research Memory Centre of LyonLyon Institute for ElderlyCharpennes HospitalUniversity Hospital of LyonLyonFrance
- Clinical and Research Memory Centre of LorraineHospital of BraboisCognitive‐behavioral unitPaul Spillmann CentreCHRU de NancyFrance
- Communications Research GroupInterpsy EA4432 PsychologyUniversity of LorraineNancyFrance
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40
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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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Semba RD, Tian Q, Carlson MC, Xue QL, Ferrucci L. Motoric cognitive risk syndrome: Integration of two early harbingers of dementia in older adults. Ageing Res Rev 2020; 58:101022. [PMID: 31996326 PMCID: PMC7697173 DOI: 10.1016/j.arr.2020.101022] [Citation(s) in RCA: 44] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2019] [Revised: 01/10/2020] [Accepted: 01/21/2020] [Indexed: 12/17/2022]
Abstract
Dementia is characterized by a long preclinical phase that may last years to decades before the onset of mild cognitive impairment. Slow gait speed and subjective memory complaint commonly co-occur during this preclinical phase, and each is a strong independent predictor of cognitive decline and dementia. Motoric cognitive risk (MCR) syndrome is a pre-dementia syndrome that combines these two early harbingers of dementia. The risk of cognitive decline or dementia is stronger for MCR than for either slow gait speed or subjective memory complaint alone. Slow gait speed and subjective memory complaint have several common risk factors: cardiovascular disease, diabetes mellitus, abnormal cortisol profiles, low vitamin D levels, brain atrophy with decreased hippocampal volume, and increased deposition of beta-amyloid in the brain. The underlying pathogenesis of MCR remains poorly understood. Metabolomics and proteomics have great potential to provide new insights into biological pathways involved in MCR during the long preclinical phase preceding dementia.
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Affiliation(s)
- Richard D Semba
- Wilmer Eye Institute, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
| | - Qu Tian
- National Institute on Aging, National Institutes of Health, Baltimore, MD, USA
| | - Michelle C Carlson
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Qian-Li Xue
- Departments of Medicine, Biostatistics, and Epidemiology, Johns Hopkins University, Baltimore, MD, USA
| | - Luigi Ferrucci
- National Institute on Aging, National Institutes of Health, Baltimore, MD, USA
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42
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Ishtiak-Ahmed K, Hansen ÅM, Mortensen EL, Garde AH, Brødsgaard Grynderup M, Gyntelberg F, Islamoska S, Lund R, Phung TKT, Prescott E, Waldemar G, Nabe-Nielsen K. Midlife Forgetfulness and Risk of Dementia in Old Age: Results from the Danish Working Environment Cohort Study. Dement Geriatr Cogn Disord 2020; 47:264-273. [PMID: 31319407 DOI: 10.1159/000500184] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/27/2018] [Accepted: 04/06/2019] [Indexed: 01/12/2023] Open
Abstract
BACKGROUND Despite the current evidence of a high prevalence of forgetfulness in middle-aged individuals, and the evidence of a link between midlife memory complaints and biological changes in the brain, no previous study has yet investigated midlife forgetfulness in relation to risk of dementia in old age. AIMS We investigated whether midlife forgetfulness was an indicator of an increased risk of dementia in old age. METHODS We used data from 3,136 employed men and women who participated in the Danish Work Environment Cohort Study in 1990. These data were linked to Danish national registers. Participants were asked whether their closest relative had ever told them that they were forgetful. Incidence rate ratios (IRR) were estimated using Poisson regression analysis. RESULTS At baseline, 749 (24%) study participants were categorized as forgetful, and 86 (2.7%) participants were diagnosed with dementia during a total of 31,724 person-years at risk. After adjusting for sociodemographic factors, comorbidities, and work-related factors, midlife forgetfulness was associated with a higher risk of dementia (IRR = 1.82; 95% CI: 1.12-2.97). CONCLUSIONS This study is the first to investigate midlife forgetfulness and dementia, and the results suggest that midlife forgetfulness is an early indicator of an increased risk of dementia in old age.
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Affiliation(s)
- Kazi Ishtiak-Ahmed
- Department of Public Health, University of Copenhagen, Copenhagen, Denmark,
| | - Åse Marie Hansen
- Department of Public Health, University of Copenhagen, Copenhagen, Denmark.,The National Research Centre for the Working Environment, Copenhagen, Denmark
| | - Erik Lykke Mortensen
- Department of Public Health, University of Copenhagen, Copenhagen, Denmark.,Center for Healthy Aging, University of Copenhagen, Copenhagen, Denmark
| | - Anne Helene Garde
- Department of Public Health, University of Copenhagen, Copenhagen, Denmark.,The National Research Centre for the Working Environment, Copenhagen, Denmark
| | | | - Finn Gyntelberg
- The National Research Centre for the Working Environment, Copenhagen, Denmark
| | - Sabrina Islamoska
- Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Rikke Lund
- Department of Public Health, University of Copenhagen, Copenhagen, Denmark.,Center for Healthy Aging, University of Copenhagen, Copenhagen, Denmark
| | - Thien Kieu Thi Phung
- Danish Dementia Research Centre, Department of Neurology, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
| | - Eva Prescott
- Department of Cardiology, Bispebjerg University Hospital, Copenhagen, Denmark
| | - Gunhild Waldemar
- Danish Dementia Research Centre, Department of Neurology, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
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Hu C, Hu J, Meng X, Zhang H, Shen H, Huang P, Schachner M, Zhao W. L1CAM Beneficially Inhibits Histone Deacetylase 2 Expression under Conditions of Alzheimer's Disease. Curr Alzheimer Res 2020; 17:382-392. [PMID: 32321402 DOI: 10.2174/1567205017666200422155323] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2019] [Revised: 03/10/2020] [Accepted: 04/10/2020] [Indexed: 02/05/2023]
Abstract
BACKGROUND Cognitive capacities in Alzheimer's Disease (AD) are impaired by an epigenetic blockade mediated by histone deacetylase 2 (HDAC2), which prevents the transcription of genes that are important for synaptic plasticity. OBJECTIVE Investigation of the functional relationship between cell adhesion molecule L1 and HDAC2 in AD. METHODS Cultures of dissociated cortical and hippocampal neurons from wild-type or L1-deficient mice were treated with Aβ1-42 for 24 h. After removal of Aβ1-42 cells were treated with the recombinant L1 extracellular domain (rL1) for 24 h followed by immunohistochemistry, western blotting, and reverse transcription PCR to evaluate the interaction between L1 and HDAC2. RESULTS Aβ and HDAC2 protein levels were increased in APPSWE/L1+/- mutant brains compared to APPSWE mutant brains. Administration of the recombinant extracellular domain of L1 to cultured cortical and hippocampal neurons reduced HDAC2 mRNA and protein levels. In parallel, reduced phosphorylation levels of glucocorticoid receptor 1 (GR1), which is implicated in regulating HDAC2 levels, was observed in response to L1 administration. Application of a glucocorticoid receptor inhibitor reduced Aβ-induced GR1 phosphorylation and prevented the increase in HDAC2 levels. HDAC2 protein levels were increased in cultured cortical neurons from L1-deficient mice. This change could be reversed by the administration of the recombinant extracellular domain of L1. CONCLUSION Our results suggest that some functionally interdependent activities of L1 and HDAC2 contribute to ameliorating the phenotype of AD by GR1 dephosphorylation, which leads to reduced HDAC2 expression. The combined findings encourage further investigations on the beneficial effects of L1 in the treatment of AD.
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Affiliation(s)
- Chengliang Hu
- Center for Neuroscience, Shantou University Medical College, 22 Xin Ling Road, Shantou, Guangdong 515041, China
| | - Junkai Hu
- Center for Neuroscience, Shantou University Medical College, 22 Xin Ling Road, Shantou, Guangdong 515041, China
| | - Xianghe Meng
- Center for Neuroscience, Shantou University Medical College, 22 Xin Ling Road, Shantou, Guangdong 515041, China
| | - Hongli Zhang
- Center for Neuroscience, Shantou University Medical College, 22 Xin Ling Road, Shantou, Guangdong 515041, China
| | - Huifan Shen
- Center for Neuroscience, Shantou University Medical College, 22 Xin Ling Road, Shantou, Guangdong 515041, China
| | - Peizhi Huang
- Center for Neuroscience, Shantou University Medical College, 22 Xin Ling Road, Shantou, Guangdong 515041, China
| | - Melitta Schachner
- Center for Neuroscience, Shantou University Medical College, 22 Xin Ling Road, Shantou, Guangdong 515041, China
- Keck Center for Collaborative Neuroscience and Department of Cell Biology and Neuroscience, Rutgers University, 604 Allison Road, Piscataway, NJ 08854, United States
| | - Weijiang Zhao
- Center for Neuroscience, Shantou University Medical College, 22 Xin Ling Road, Shantou, Guangdong 515041, China
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Different Cortical Thinning Patterns Depending on Their Prognosis in Individuals with Subjective Cognitive Decline. Dement Neurocogn Disord 2019; 18:113-121. [PMID: 31942170 PMCID: PMC6946618 DOI: 10.12779/dnd.2019.18.4.113] [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: 08/09/2019] [Revised: 10/08/2019] [Accepted: 10/20/2019] [Indexed: 11/27/2022] Open
Abstract
Background and Purpose Subjective cognitive decline (SCD) may be the first stage corresponding to subtle cognitive changes in patients with Alzheimer's disease (AD) spectrum disorders. We evaluated the differences in cortical thinning patterns among patients with SCD who progressed to mild cognitive impairment or dementia (pSCD), those who remained stable (sSCD), and healthy normal controls (NCs). Methods We retrospectively recruited SCD subjects (14 pSCD and 21 sSCD cases) and 29 NCs. Structural 3-dimensional-T1-weighted magnetic resonance imaging was performed using a single 1.5 Tesla scanner. Freesurfer software was used to map cortical thickness for group comparisons. Results Compared with NC group, the sSCD group showed diffuse cortical atrophy associated with bilateral fronto-parieto-temporal area. The pSCD group showed further characteristic cortical atrophy in AD-vulnerable regions including the inferior parieto-temporal and middle temporal areas. Cortical thinning in the bilateral medial frontal areas was observed in patients with sSCD and involved the right inferior temporal and left precentral areas in those with pSCD. Conclusions Our study showed that SCD subjects exhibit different cortical thinning patterns depending on their prognosis.
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45
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Broadhouse KM, Mowszowski L, Duffy S, Leung I, Cross N, Valenzuela MJ, Naismith SL. Memory Performance Correlates of Hippocampal Subfield Volume in Mild Cognitive Impairment Subtype. Front Behav Neurosci 2019; 13:259. [PMID: 31849620 PMCID: PMC6897308 DOI: 10.3389/fnbeh.2019.00259] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2019] [Accepted: 11/05/2019] [Indexed: 01/02/2023] Open
Abstract
The increased understanding that neuropathology begins decades before symptom onset, has led to the conceptualization and widespread utilization of Mild Cognitive Impairment (MCI) as an important transitional state between healthy aging and dementia. Further subcategorization to MCI subtype has led to more distinct prognoses and it is widely considered that amnestic and non-amnestic MCI (aMCI, naMCI) likely have distinct pathophysiologies. Yet, accurately classification remains contentious. Here, we differentiate hippocampal subfield volume between subtypes, diagnosed according to stringent clinical consensus criteria, where aMCI is characterized based on deficits in delayed recall (rather than encoding). We then identify memory performance correlates to subfield volume and associations with long-term cognitive performance and outcome. 3D T1-weighted structural MRI was acquired in 142 participants recruited from the Healthy Brain Aging (HBA) Clinic and diagnosed with aMCI (n = 38), naMCI (n = 84) or subjective memory complaints (SMC; n = 20). T1-weighted datasets were processed with the cortical and hippocampal subfield processing streams in FreeSurfer (v6.0). Subfield volumes, and associations with baseline and longitudinal objective memory scores were then examined. Subfield volumes were found to differentiate clinical profiles: subiculum, CA1, CA4 and dentate gyrus volumes were significantly reduced in aMCI compared to both naMCI and SMC. CA1 subfield volume was shown to predict concurrent memory performance in aMCI, while dentate gyrus volume significantly predicted longitudinal verbal learning and memory decline in the entire cohort. Our findings demonstrate that using a more stringent diagnostic approach to characterizing aMCI is well justified, as delayed recall deficits are strongly linked to underlying volumetric subfield reductions in CA1, CA4 and the dentate gyrus, subfields known to be associated with mnemonic processes. Further research is now warranted to replicate these findings in other MCI samples.
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Affiliation(s)
- Kathryn M Broadhouse
- Sunshine Coast Mind and Neuroscience Thompson Institute, University of the Sunshine Coast, Sunshine Coast, QLD, Australia.,Regenerative Neuroscience Group, Brain and Mind Centre, The University of Sydney, Sydney, NSW, Australia
| | - Loren Mowszowski
- Healthy Brain Aging Program, Brain and Mind Centre, The University of Sydney, Sydney, NSW, Australia.,School of Psychology, Faculty of Science, The University of Sydney, Sydney, NSW, Australia
| | - Shantel Duffy
- Healthy Brain Aging Program, Brain and Mind Centre, The University of Sydney, Sydney, NSW, Australia.,Charles Perkins Centre, The University of Sydney, Sydney, NSW, Australia
| | - Isabella Leung
- Regenerative Neuroscience Group, Brain and Mind Centre, The University of Sydney, Sydney, NSW, Australia.,Healthy Brain Aging Program, Brain and Mind Centre, The University of Sydney, Sydney, NSW, Australia
| | - Nathan Cross
- Healthy Brain Aging Program, Brain and Mind Centre, The University of Sydney, Sydney, NSW, Australia
| | - Michael J Valenzuela
- Regenerative Neuroscience Group, Brain and Mind Centre, The University of Sydney, Sydney, NSW, Australia.,Sydney Medical School, The University of Sydney, Sydney, NSW, Australia
| | - Sharon L Naismith
- Healthy Brain Aging Program, Brain and Mind Centre, The University of Sydney, Sydney, NSW, Australia.,School of Psychology, Faculty of Science, The University of Sydney, Sydney, NSW, Australia.,Charles Perkins Centre, The University of Sydney, Sydney, NSW, Australia
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46
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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: 11] [Impact Index Per Article: 2.2] [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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47
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Kuhn E, Moulinet I, Perrotin A, La Joie R, Landeau B, Tomadesso C, Bejanin A, Sherif S, De La Sayette V, Desgranges B, Vivien D, Poisnel G, Chételat G. Cross-sectional and longitudinal characterization of SCD patients recruited from the community versus from a memory clinic: subjective cognitive decline, psychoaffective factors, cognitive performances, and atrophy progression over time. ALZHEIMERS RESEARCH & THERAPY 2019; 11:61. [PMID: 31286994 PMCID: PMC6615169 DOI: 10.1186/s13195-019-0514-z] [Citation(s) in RCA: 28] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/20/2018] [Accepted: 06/13/2019] [Indexed: 12/04/2022]
Abstract
Background Subjective cognitive decline (SCD) defines a heterogeneous population, part of which having Alzheimer’s disease (AD). We aimed at characterizing SCD populations according to whether or not they referred to a memory clinic, by assessing the factors associated with increased AD risk. Methods Seventy-eight cognitively unimpaired older adults from the IMAP+ study (Caen) were included, amongst which 28 healthy controls (HC) and 50 SCD recruited from the community (SCD-community; n = 23) or from a memory clinic (SCD-clinic; n = 27). Participants underwent cognitive, psychoaffective, structural MRI, FDG-PET, and amyloid-PET assessments. They were followed up over a mean period of 2.4 ± 0.8 years. The groups were compared in terms of baseline and follow-up levels of SCD (self- and informant-reported), cognition, subclinical anxiety and depression, and atrophy progression over time. We also investigated SCD substrates within each SCD group through the correlations between self-reported SCD and other psychometric and brain measures. Results Compared to HC, both SCD groups showed similar cognitive performances but higher informant-reported SCD and anxiety. Compared to SCD-community, SCD-clinic showed higher informant-reported SCD, depression score, and atrophy progression over time but similar brain amyloid load. A significant increase over time was found for depression in the SCD-community and for self-reported praxis-domestic activities SCD factor in the SCD-clinic. Higher self-reported SCD correlated with (i) lower grey matter volume and higher anxiety in SCD-community, (ii) greater informant-reported SCD in SCD-clinic, and (iii) lower glucose metabolism in both SCD groups. Conclusions Higher subclinical depression and informant-reported SCD specifically characterize the SCD group that refers to a memory clinic. The same group appears as a frailer population than SCD-community as they show greater atrophy progression over time. Yet, both the SCD groups were quite similar otherwise including for brain amyloid load and the SCD-community showed increased depression score over time. Altogether, our findings highlight the relevance of assessing psychoaffective factors and informant-reported SCD in SCD populations and point to both differences and similarities in SCD populations referring or not to a memory clinic. Electronic supplementary material The online version of this article (10.1186/s13195-019-0514-z) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Elizabeth Kuhn
- Inserm, Inserm UMR-S U1237, GIP Cyceron, Université de Caen-Normandie, Boulevard H. Becquerel, 14000, Caen, France
| | - Inès Moulinet
- Inserm, Inserm UMR-S U1237, GIP Cyceron, Université de Caen-Normandie, Boulevard H. Becquerel, 14000, Caen, France
| | - Audrey Perrotin
- Inserm, Inserm UMR-S U1237, GIP Cyceron, Université de Caen-Normandie, Boulevard H. Becquerel, 14000, Caen, France
| | - Renaud La Joie
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, San Francisco, CA, USA
| | - Brigitte Landeau
- Inserm, Inserm UMR-S U1237, GIP Cyceron, Université de Caen-Normandie, Boulevard H. Becquerel, 14000, Caen, France
| | - Clémence Tomadesso
- Inserm, Inserm UMR-S U1237, GIP Cyceron, Université de Caen-Normandie, Boulevard H. Becquerel, 14000, Caen, France.,Normandie Univ, UNICAEN, PSL Recherche Universités, EPHE, INSERM, U1077, CHU de Caen, Neuropsychologie et Imagerie de la Mémoire Humaine, GIP Cyceron, 14000, Caen, France
| | - Alexandre Bejanin
- Inserm, Inserm UMR-S U1237, GIP Cyceron, Université de Caen-Normandie, Boulevard H. Becquerel, 14000, Caen, France
| | - Siya Sherif
- Inserm, Inserm UMR-S U1237, GIP Cyceron, Université de Caen-Normandie, Boulevard H. Becquerel, 14000, Caen, France
| | - Vincent De La Sayette
- Normandie Univ, UNICAEN, PSL Recherche Universités, EPHE, INSERM, U1077, CHU de Caen, Neuropsychologie et Imagerie de la Mémoire Humaine, GIP Cyceron, 14000, Caen, France.,CHU de Caen, Service de Neurologie, Caen, France
| | - Béatrice Desgranges
- Normandie Univ, UNICAEN, PSL Recherche Universités, EPHE, INSERM, U1077, CHU de Caen, Neuropsychologie et Imagerie de la Mémoire Humaine, GIP Cyceron, 14000, Caen, France
| | - Denis Vivien
- Inserm, Inserm UMR-S U1237, GIP Cyceron, Université de Caen-Normandie, Boulevard H. Becquerel, 14000, Caen, France.,Department of Clinical Research, Caen Normandy Hospital (CHU) de Caen, 14000, Caen, France
| | - Géraldine Poisnel
- Inserm, Inserm UMR-S U1237, GIP Cyceron, Université de Caen-Normandie, Boulevard H. Becquerel, 14000, Caen, France
| | - Gaëlle Chételat
- Inserm, Inserm UMR-S U1237, GIP Cyceron, Université de Caen-Normandie, Boulevard H. Becquerel, 14000, Caen, France.
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48
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Flatt JD, Johnson JK, Karpiak SE, Seidel L, Larson B, Brennan-Ing M. Correlates of Subjective Cognitive Decline in Lesbian, Gay, Bisexual, and Transgender Older Adults. J Alzheimers Dis 2019; 64:91-102. [PMID: 29865050 DOI: 10.3233/jad-171061] [Citation(s) in RCA: 44] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
Abstract
BACKGROUND Little is known about subjective cognitive decline (SCD) in lesbian, gay, bisexual, and transgender (LGBT) older adults. OBJECTIVES To examine SCD and its association with dementia risk factors, other physical and psychosocial health factors in LGBT older adults. METHODS A cross-sectional study of SCD was conducted with LGBT older adults, aged 50 and older (n = 210). SCD was categorized based on endorsement of memory problems and one other cognitive domain. Hierarchical logistic regression examined the associations between demographic factors, dementia risk factors, other health and psychosocial factors, and SCD. RESULTS Nearly 25% of LGBT older adults were classified as having SCD. LGBT older adults who were people of color (OR = 2.5; 95% CI = 1.1- 7.8), depressed (OR = 2.9; 95% CI = 1.3- 6.9), or reported having functional impairment (OR = 2.6; 95% CI = 1.1- 6.5) were significantly more likely to be classified as having SCD (Nagelkerke pseudo R2 = 0.27). CONCLUSION Depression and functional impairment should be considered when screening LGBT older adults for cognitive impairment and dementia. Future research on the cognitive impairment and dementia risk in LGBT older adults is needed.
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Affiliation(s)
- Jason D Flatt
- University of California, San Francisco (UCSF), San Francisco, CA, USA.,UCSF Center for Aging in Diverse Communities, San Francisco, CA, USA
| | - Julene K Johnson
- University of California, San Francisco (UCSF), San Francisco, CA, USA.,UCSF Center for Aging in Diverse Communities, San Francisco, CA, USA
| | - Stephen E Karpiak
- ACRIA Center on HIV and Aging at GMHC, New York, NY, USA and San Francisco, CA, USA.,New York University College of Nursing, New York, NY, USA
| | - Liz Seidel
- ACRIA Center on HIV and Aging at GMHC, New York, NY, USA and San Francisco, CA, USA.,Fordham University, New York, NY, USA
| | | | - Mark Brennan-Ing
- New York University College of Nursing, New York, NY, USA.,Brookdale Center for Healthy Aging, Hunter College, City University of New York, New York, NY, USA
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49
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Lee JS, Park YH, Park S, Yoon U, Choe Y, Cheon BK, Hahn A, Cho SH, Kim SJ, Kim JP, Jung YH, Park KC, Kim HJ, Jang H, Na DL, Seo SW. Distinct Brain Regions in Physiological and Pathological Brain Aging. Front Aging Neurosci 2019; 11:147. [PMID: 31275140 PMCID: PMC6591468 DOI: 10.3389/fnagi.2019.00147] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2019] [Accepted: 06/04/2019] [Indexed: 12/17/2022] Open
Abstract
Background Studying structural brain aging is important to understand age-related pathologies, as well as to identify the early manifestations of the Alzheimer’s disease (AD) continuum. In this study, we investigated the long-term trajectory of physiological and pathological brain aging in a large number of participants ranging from the 50s to over 80 years of age. Objective To explore the distinct brain regions that distinguish pathological brain aging from physiological brain aging using sophisticated measurements of cortical thickness. Methods A total of 2,823 cognitively normal (CN) individuals and 2,675 patients with AD continuum [874 with subjective memory impairment (SMI), 954 with amnestic mild cognitive impairment (aMCI), and 847 with AD dementia] who underwent a high-resolution 3.0-tesla MRI were included in this study. To investigate pathological brain aging, we further classified patients with aMCI and AD according to the severity of cognitive impairment. Cortical thickness was measured using a surface-based method. Multiple linear regression analyses were performed to evaluate age, diagnostic groups, and cortical thickness. Results Aging extensively affected cortical thickness not only in CN individuals but also in AD continuum patients; however, the precuneus and inferior temporal regions were relatively preserved against age-related cortical thinning. Compared to CN individuals, AD continuum patients including those with SMI showed a decreased cortical thickness in the perisylvian region. However, widespread cortical thinning including the precuneus and inferior temporal regions were found from the late-stage aMCI to the moderate to severe AD. Unlike the other age groups, AD continuum patients aged over 80 years showed prominent cortical thinning in the medial temporal region with relative sparing of the precuneus. Conclusion Our findings suggested that the precuneus and inferior temporal regions are the key regions in distinguishing between physiological and pathological brain aging. Attempts to differentiate age-related pathology from physiological brain aging at a very early stage would be important in terms of establishing new strategies for preventing accelerated pathological brain aging.
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Affiliation(s)
- Jin San Lee
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea.,Neuroscience Center, Samsung Medical Center, Seoul, South Korea.,Department of Neurology, Kyung Hee University Hospital, Seoul, South Korea
| | - Yu Hyun Park
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea.,Neuroscience Center, Samsung Medical Center, Seoul, South Korea
| | - Seongbeom Park
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea.,Neuroscience Center, Samsung Medical Center, Seoul, South Korea
| | - Uicheul Yoon
- Department of Biomedical Engineering, Daegu Catholic University, Gyeongsan, South Korea
| | - Yeongsim Choe
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea.,Neuroscience Center, Samsung Medical Center, Seoul, South Korea
| | - Bo Kyoung Cheon
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea.,Neuroscience Center, Samsung Medical Center, Seoul, South Korea
| | - Alice Hahn
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea.,Neuroscience Center, Samsung Medical Center, Seoul, South Korea
| | - Soo Hyun Cho
- Department of Neurology, Chonnam National University Medical School, Gwangju, South Korea
| | - Seung Joo Kim
- Department of Neurology, Gyeongsang National University School of Medicine and Gyeongsang National University Changwon Hospital, Changwon, South Korea
| | - Jun Pyo Kim
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea.,Neuroscience Center, Samsung Medical Center, Seoul, South Korea
| | - Young Hee Jung
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea.,Neuroscience Center, Samsung Medical Center, Seoul, South Korea
| | - Key-Chung Park
- Department of Neurology, Kyung Hee University Hospital, Seoul, South Korea
| | - Hee Jin Kim
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea.,Neuroscience Center, Samsung Medical Center, Seoul, South Korea
| | - Hyemin Jang
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea.,Neuroscience Center, Samsung Medical Center, Seoul, South Korea
| | - Duk L Na
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea.,Neuroscience Center, Samsung Medical Center, Seoul, South Korea
| | - Sang Won Seo
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea.,Neuroscience Center, Samsung Medical Center, Seoul, South Korea.,Samsung Alzheimer Research Center, Center for Clinical Epidemiology, Samsung Medical Center, Seoul, South Korea.,Department of Health Sciences and Technology, Clinical Research Design and Evaluation, SAIHST, Sungkyunkwan University, Seoul, South Korea
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50
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Innes KE, Sambamoorthi U. The Association of Perceived Memory Loss with Osteoarthritis and Related Joint Pain in a Large Appalachian Population. PAIN MEDICINE 2019; 19:1340-1356. [PMID: 28525629 DOI: 10.1093/pm/pnx107] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Objective Previous studies have documented memory impairment in several chronic pain syndromes. However, the potential link between memory loss and osteoarthritis (OA), the second most common cause of chronic pain, remains little explored. In this cross-sectional study, we examine the association of perceived memory loss to OA and assess the potential mediating influence of sleep and mood disturbance in a large Appalachian population. Design Cross-sectional. Setting US Ohio Valley. Subjects A total of 21,982 Appalachian adults age 40 years or older drawn from the C8 Health Project (N = 19,004 adults without and 2,478 adults with OA). All participants completed a comprehensive health survey between 2005 and 2006. Medical history, including physician diagnosis of OA, lifestyle factors, short- and long-term memory loss, sleep quality, and mood were assessed via self-report. Results After adjustment for demographic, lifestyle, health-related, and other factors, participants with OA were almost three times as likely to report frequent memory loss (adjusted odds ratios [ORs] for short- and long-term memory loss, respectively = 2.7, 95% confidence interval [CI] = 2.2-3.3, and 2.6, 95% CI = 2.0-3.3). The magnitude of these associations increased significantly with rising frequency of reported joint pain (adjusted OR for OA with frequent joint pain vs no OA = 3.3, 95% CI = 2.6-4.1, Ptrend < 0.00001). Including measures of mood and sleep impairment attenuated but did not eliminate these associations (ORs for any memory loss = 2.0, 95% CI = 1.6-2.4, and 2.1, 95% CI = 1.7-2.8, adjusted for sleep and mood impairment, respectively; OR = 1.8, 95% CI = 1.4-2.2, adjusted for both factors). Conclusions In this large cross-sectional study, OA and related joint pain were strongly associated with perceived memory loss; these associations may be partially mediated by sleep and mood disturbance.
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Affiliation(s)
- Kim E Innes
- Department of Epidemiology, West Virginia School of Public Health
| | - Usha Sambamoorthi
- Department of Pharmaceutical Systems and Policy, West Virginia School of Pharmacy
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