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Finney CA, Brown DA, Shvetcov A. Developing multifactorial dementia prediction models using clinical variables from cohorts in the US and Australia. Transl Psychiatry 2025; 15:15. [PMID: 39837812 PMCID: PMC11751436 DOI: 10.1038/s41398-025-03247-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/04/2024] [Revised: 12/11/2024] [Accepted: 01/14/2025] [Indexed: 01/23/2025] Open
Abstract
Existing dementia prediction models using non-neuroimaging clinical measures have been limited in their ability to identify disease. This study used machine learning to re-examine the diagnostic potential of clinical measures for dementia. Data was sourced from the Australian Imaging, Biomarkers, and Lifestyle Flagship Study of Ageing (AIBL) and the Alzheimer's Disease Neuroimaging Initiative (ADNI). Clinical variables included 21 measures across medical history, hematological and other blood tests, and APOE genotype. Tree-based machine learning algorithms and artificial neural networks were used. APOE genotype was the best predictor of dementia cases and healthy controls. Our results, however, demonstrated that there are limitations when using publicly accessible cohort data that may limit the generalizability and interpretability of such predictive models. Future research should examine the use of routine APOE genetic testing for dementia diagnostics. It should also focus on clearly unifying data across clinical cohorts.
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Affiliation(s)
- Caitlin A Finney
- Translational Dementia Research Group, Centre for Immunology and Allergy Research, Westmead Institute for Medical Research, Sydney, NSW, 2145, Australia.
- School of Medical Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, 2006, Australia.
| | - David A Brown
- Neuroinflammation Research Group, Centre for Immunology and Allergy Research, Westmead Institute for Medical Research, Sydney, NSW, 2145, Australia
- Westmead Clinical School, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, 2006, Australia
- Department of Immunopathology, Institute for Clinical Pathology and Medical Research-New South Wales Health Pathology, Sydney, NSW, 2145, Australia
| | - Artur Shvetcov
- Translational Dementia Research Group, Centre for Immunology and Allergy Research, Westmead Institute for Medical Research, Sydney, NSW, 2145, Australia
- Department of Psychological Medicine, Sydney Children's Hospitals Network, Sydney, NSW, 2145, Australia
- Discipline of Psychiatry and Mental Health, School of Clinical Medicine, Faculty of Medicine and Health, University of New South Wales, Sydney, NSW, 2052, Australia
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2
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Lui KK, Dave A, Sprecher KE, Chappel-Farley MG, Riedner BA, Heston MB, Taylor CE, Carlsson CM, Okonkwo OC, Asthana S, Johnson SC, Bendlin BB, Mander BA, Benca RM. Older adults at greater risk for Alzheimer's disease show stronger associations between sleep apnea severity in REM sleep and verbal memory. Alzheimers Res Ther 2024; 16:102. [PMID: 38725033 PMCID: PMC11080222 DOI: 10.1186/s13195-024-01446-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2023] [Accepted: 04/01/2024] [Indexed: 05/12/2024]
Abstract
BACKGROUND Obstructive sleep apnea (OSA) increases risk for cognitive decline and Alzheimer's disease (AD). While the underlying mechanisms remain unclear, hypoxemia during OSA has been implicated in cognitive impairment. OSA during rapid eye movement (REM) sleep is usually more severe than in non-rapid eye movement (NREM) sleep, but the relative effect of oxyhemoglobin desaturation during REM versus NREM sleep on memory is not completely characterized. Here, we examined the impact of OSA, as well as the moderating effects of AD risk factors, on verbal memory in a sample of middle-aged and older adults with heightened AD risk. METHODS Eighty-one adults (mean age:61.7 ± 6.0 years, 62% females, 32% apolipoprotein E ε4 allele (APOE4) carriers, and 70% with parental history of AD) underwent clinical polysomnography including assessment of OSA. OSA features were derived in total, NREM, and REM sleep. REM-NREM ratios of OSA features were also calculated. Verbal memory was assessed with the Rey Auditory Verbal Learning Test (RAVLT). Multiple regression models evaluated the relationships between OSA features and RAVLT scores while adjusting for sex, age, time between assessments, education years, body mass index (BMI), and APOE4 status or parental history of AD. The significant main effects of OSA features on RAVLT performance and the moderating effects of AD risk factors (i.e., sex, age, APOE4 status, and parental history of AD) were examined. RESULTS Apnea-hypopnea index (AHI), respiratory disturbance index (RDI), and oxyhemoglobin desaturation index (ODI) during REM sleep were negatively associated with RAVLT total learning and long-delay recall. Further, greater REM-NREM ratios of AHI, RDI, and ODI (i.e., more events in REM than NREM) were related to worse total learning and recall. We found specifically that the negative association between REM ODI and total learning was driven by adults 60 + years old. In addition, the negative relationships between REM-NREM ODI ratio and total learning, and REM-NREM RDI ratio and long-delay recall were driven by APOE4 carriers. CONCLUSION Greater OSA severity, particularly during REM sleep, negatively affects verbal memory, especially for people with greater AD risk. These findings underscore the potential importance of proactive screening and treatment of REM OSA even if overall AHI appears low.
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Affiliation(s)
- Kitty K Lui
- San Diego State University/University of California San Diego, Joint Doctoral Program in Clinical Psychology, San Diego, CA, USA
- Department of Psychiatry and Human Behavior, University of California, Irvine, CA, USA
| | - Abhishek Dave
- Department of Psychiatry and Human Behavior, University of California, Irvine, CA, USA
- Department of Cognitive Sciences, University of California, Irvine, CA, USA
| | - Kate E Sprecher
- Department of Population Health Sciences, University of Wisconsin-Madison, Madison, WI, USA
- Neuroscience Training Program, University of Wisconsin-Madison, Madison, WI, USA
- Department of Medicine, University of Wisconsin-Madison, Madison, WI, USA
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin-Madison, Madison, WI, USA
| | - Miranda G Chappel-Farley
- Department of Neurobiology and Behavior, University of California, Irvine, CA, USA
- Center for the Neurobiology of Learning and Memory, University of California, Irvine, CA, USA
| | - Brady A Riedner
- Department of Psychiatry, University of Wisconsin-Madison, Madison, WI, USA
| | - Margo B Heston
- Department of Medicine, University of Wisconsin-Madison, Madison, WI, USA
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin-Madison, Madison, WI, USA
| | - Chase E Taylor
- Department of Neuroscience, University of Kentucky, Lexington, KY, USA
| | - Cynthia M Carlsson
- Department of Medicine, University of Wisconsin-Madison, Madison, WI, USA
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin-Madison, Madison, WI, USA
- Wisconsin Alzheimer's Institute, Madison, WI, USA
- Geriatric Research Education and Clinical Center, Wm. S. Middleton Veterans Hospital, Madison, WI, USA
| | - Ozioma C Okonkwo
- Department of Medicine, University of Wisconsin-Madison, Madison, WI, USA
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin-Madison, Madison, WI, USA
- Wisconsin Alzheimer's Institute, Madison, WI, USA
- Geriatric Research Education and Clinical Center, Wm. S. Middleton Veterans Hospital, Madison, WI, USA
| | - Sanjay Asthana
- Department of Medicine, University of Wisconsin-Madison, Madison, WI, USA
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin-Madison, Madison, WI, USA
- Wisconsin Alzheimer's Institute, Madison, WI, USA
- Geriatric Research Education and Clinical Center, Wm. S. Middleton Veterans Hospital, Madison, WI, USA
| | - Sterling C Johnson
- Department of Medicine, University of Wisconsin-Madison, Madison, WI, USA
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin-Madison, Madison, WI, USA
- Wisconsin Alzheimer's Institute, Madison, WI, USA
- Geriatric Research Education and Clinical Center, Wm. S. Middleton Veterans Hospital, Madison, WI, USA
| | - Barbara B Bendlin
- Department of Medicine, University of Wisconsin-Madison, Madison, WI, USA
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin-Madison, Madison, WI, USA
- Wisconsin Alzheimer's Institute, Madison, WI, USA
- Geriatric Research Education and Clinical Center, Wm. S. Middleton Veterans Hospital, Madison, WI, USA
| | - Bryce A Mander
- Department of Psychiatry and Human Behavior, University of California, Irvine, CA, USA.
- Department of Cognitive Sciences, University of California, Irvine, CA, USA.
- Center for the Neurobiology of Learning and Memory, University of California, Irvine, CA, USA.
| | - Ruth M Benca
- Department of Psychiatry and Human Behavior, University of California, Irvine, CA, USA.
- Neuroscience Training Program, University of Wisconsin-Madison, Madison, WI, USA.
- Center for the Neurobiology of Learning and Memory, University of California, Irvine, CA, USA.
- Department of Psychiatry, University of Wisconsin-Madison, Madison, WI, USA.
- Department of Psychiatry and Behavioral Medicine, Wake Forest University, Winston-Salem, NC, USA.
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3
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Samson AD, Rajagopal S, Pasvanis S, Villeneuve S, McIntosh AR, Rajah MN. Sex differences in longitudinal changes of episodic memory-related brain activity and cognition in cognitively unimpaired older adults with a family history of Alzheimer's disease. Neuroimage Clin 2023; 40:103532. [PMID: 37931333 PMCID: PMC10652211 DOI: 10.1016/j.nicl.2023.103532] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2023] [Revised: 10/25/2023] [Accepted: 10/26/2023] [Indexed: 11/08/2023]
Abstract
Episodic memory decline is an early symptom of Alzheimer's disease (AD) - a neurodegenerative disease that has a higher prevalence rate in older females compared to older males. However, little is known about why these sex differences in prevalence rate exist. In the current longitudinal task fMRI study, we explored whether there were sex differences in the patterns of memory decline and brain activity during object-location (spatial context) encoding and retrieval in a large sample of cognitively unimpaired older adults from the Pre-symptomatic Evaluation of Novel or Experimental Treatments for Alzheimer's Disease (PREVENT-AD) program who are at heightened risk of developing AD due to having a family history (+FH) of the disease. The goal of the study was to gain insight into whether there are sex differences in the neural correlates of episodic memory decline, which may advance knowledge about sex-specific patterns in the natural progression to AD. Our results indicate that +FH females performed better than +FH males at both baseline and follow-up on neuropsychological and task fMRI measures of episodic memory. Moreover, multivariate data-driven task fMRI analysis identified generalized patterns of longitudinal decline in medial temporal lobe activity that was paralleled by longitudinal increases in lateral prefrontal cortex, caudate and midline cortical activity during successful episodic retrieval and novelty detection in +FH males, but not females. Post-hoc analyses indicated that higher education had a stronger effect on +FH females neuropsychological scores compared to +FH males. We conclude that higher educational attainment may have a greater neuroprotective effect in older +FH females compared to +FH males.
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Affiliation(s)
- Alexandria D Samson
- Rotman Research Institute, Baycrest Health Sciences, Toronto, Ontario M6A 2E1, Canada; Department of Psychology, University of Toronto, Toronto, Ontario M5S 3G3, Canada
| | - Sricharana Rajagopal
- Centre for Cerebral Imaging, Douglas Hospital Research Centre, Montreal, Quebec H4H 1R3, Canada
| | - Stamatoula Pasvanis
- Centre for Cerebral Imaging, Douglas Hospital Research Centre, Montreal, Quebec H4H 1R3, Canada
| | - Sylvia Villeneuve
- Centre for Studies on the Prevention of Alzheimer's Disease (StoP-AD), Douglas Hospital Research Centre, Montreal, Quebec H4H 1R3, Canada; Department of Psychiatry, McGill University, Montreal, Quebec H3A 1A1, Canada
| | - Anthony R McIntosh
- Rotman Research Institute, Baycrest Health Sciences, Toronto, Ontario M6A 2E1, Canada; Department of Psychology, University of Toronto, Toronto, Ontario M5S 3G3, Canada; Institute for Neuroscience and Neurotechnology, Simon Fraser University, Burnaby, British Columbia V5A 1S6, Canada; Department of Biomedical Physiology and Kinesiology, Simon Fraser University, Burnaby, British Columbia V5A 1S6, Canada
| | - M Natasha Rajah
- Centre for Cerebral Imaging, Douglas Hospital Research Centre, Montreal, Quebec H4H 1R3, Canada; Department of Psychiatry, McGill University, Montreal, Quebec H3A 1A1, Canada; Department of Psychology, Toronto Metropolitan University, Toronto, Ontario M5B 2K3, Canada.
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4
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Huang W, Zeng J, Jia L, Zhu D, O’Brien J, Ritchie C, Shu N, Su L. Genetic risks of Alzheimer's by APOE and MAPT on cortical morphology in young healthy adults. Brain Commun 2023; 5:fcad234. [PMID: 37693814 PMCID: PMC10489122 DOI: 10.1093/braincomms/fcad234] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2023] [Revised: 07/29/2023] [Accepted: 08/30/2023] [Indexed: 09/12/2023] Open
Abstract
Genetic risk factors such as APOE ε4 and MAPT (rs242557) A allele are associated with amyloid and tau pathways and grey matter changes at both early and established stages of Alzheimer's disease, but their effects on cortical morphology in young healthy adults remain unclear. A total of 144 participants aged from 18 to 24 underwent 3T MRI and genotyping for APOE and MAPT to investigate unique impacts of these genetic risk factors in a cohort without significant comorbid conditions such as metabolic and cardiovascular diseases. We segmented the cerebral cortex into 68 regions and calculated the cortical area, thickness, curvature and folding index for each region. Then, we trained machine learning models to classify APOE and MAPT genotypes using these morphological features. In addition, we applied a growing hierarchical self-organizing maps algorithm, which clustered the 68 regions into 4 subgroups representing different morphological patterns. Then, we performed general linear model analyses to estimate the interaction between APOE and MAPT on cortical patterns. We found that the classifiers using all cortical features could accurately classify individuals carrying genetic risks of dementia outperforming each individual feature alone. APOE ε4 carriers had a more convoluted and thinner cortex across the cerebral cortex. A similar pattern was found in MAPT A allele carriers only in the regions that are vulnerable for early tau pathology. With the clustering analysis, we found a synergetic effect between APOE ε4 and MAPT A allele, i.e. carriers of both risk factors showed the most deviation of cortical pattern from the typical pattern of that cluster. Genetic risk factors of dementia by APOE ε4 and MAPT (rs242557) A allele were associated with variations of cortical morphology, which can be observed in young healthy adults more than 30 years before Alzheimer's pathology is likely to occur and 50 years before dementia symptoms may begin.
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Affiliation(s)
- Weijie Huang
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing 100875, China
- Department of Neuroscience, Neuroscience Institute, Insigneo Institute for In Silico Medicine, University of Sheffield, Sheffield S10 2HQ, UK
- School of Systems Science, Beijing Normal University, Beijing 100875, China
| | - Jianmin Zeng
- Faculty of Psychology, Sino-Britain Centre for Cognition and Ageing Research, Southwest University, Chongqing 400715, China
| | - Lina Jia
- Beijing Anding Hospital, Capital Medical University, Beijing 100088, China
| | - Dajiang Zhu
- Department of Computer Science and Engineering, University of Texas at Arlington, Arlington, TX 76019, USA
| | - John O’Brien
- Department of Psychiatry, School of Clinical Medicine, University of Cambridge, Cambridge CB2 0SZ, UK
| | - Craig Ritchie
- Edinburgh Dementia Prevention and Centre for Clinical Brain Sciences, Edinburgh Medical School, University of Edinburgh, Edinburgh EH4 2XU, UK
- Scottish Brain Sciences, Edinburgh EH12 9DQ, UK
| | - Ni Shu
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing 100875, China
| | - Li Su
- Department of Neuroscience, Neuroscience Institute, Insigneo Institute for In Silico Medicine, University of Sheffield, Sheffield S10 2HQ, UK
- Department of Psychiatry, School of Clinical Medicine, University of Cambridge, Cambridge CB2 0SZ, UK
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5
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Quan M, Wang Q, Qin W, Wang W, Li F, Zhao T, Li T, Qiu Q, Cao S, Wang S, Wang Y, Jin H, Zhou A, Fang J, Jia L, Jia J. Shared and unique effects of ApoEε4 and pathogenic gene mutation on cognition and imaging in preclinical familial Alzheimer's disease. Alzheimers Res Ther 2023; 15:40. [PMID: 36850008 PMCID: PMC9972804 DOI: 10.1186/s13195-023-01192-y] [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: 07/26/2022] [Accepted: 02/13/2023] [Indexed: 03/01/2023]
Abstract
BACKGROUND Neuropsychology and imaging changes have been reported in the preclinical stage of familial Alzheimer's disease (FAD). This study investigated the effects of APOEε4 and known pathogenic gene mutation on different cognitive domains and circuit imaging markers in preclinical FAD. METHODS One hundred thirty-nine asymptomatic subjects in FAD families, including 26 APOEε4 carriers, 17 APP and 20 PS1 mutation carriers, and 76 control subjects, went through a series of neuropsychological tests and MRI scanning. Test scores and imaging measures including volumes, diffusion indices, and functional connectivity (FC) of frontostriatal and hippocampus to posterior cingulate cortex pathways were compared between groups and analyzed for correlation. RESULTS Compared with controls, the APOEε4 group showed increased hippocampal volume and decreased FC of fronto-caudate pathway. The APP group showed increased recall scores in auditory verbal learning test, decreased fiber number, and increased radial diffusivity and FC of frontostriatal pathway. All three genetic groups showed decreased fractional anisotropy of hippocampus to posterior cingulate cortex pathway. These neuropsychological and imaging measures were able to discriminate genetic groups from controls, with areas under the curve from 0.733 to 0.837. Circuit imaging measures are differentially associated with scores in various cognitive scales in control and genetic groups. CONCLUSIONS There are neuropsychological and imaging changes in the preclinical stage of FAD, some of which are shared by APOEε4 and known pathogenic gene mutation, while some are unique to different genetic groups. These findings are helpful for the early identification of Alzheimer's disease and for developing generalized and individualized prevention and intervention strategies.
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Affiliation(s)
- Meina Quan
- grid.413259.80000 0004 0632 3337Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China ,National Center for Neurological Disorders and National Clinical Research Center for Geriatric Diseases, Beijing, China ,grid.24696.3f0000 0004 0369 153XClinical Center for Neurodegenerative Disease and Memory Impairment, Capital Medical University, Beijing, China ,grid.24696.3f0000 0004 0369 153XBeijing Key Laboratory of Geriatric Cognitive Disorders, Beijing, China ,grid.24696.3f0000 0004 0369 153XCenter of Alzheimer’s Disease, Beijing Institute for Brain Disorders, Beijing, China ,grid.419897.a0000 0004 0369 313XKey Laboratory of Neurodegenerative Diseases, Ministry of Education, Beijing, China
| | - Qi Wang
- grid.413259.80000 0004 0632 3337Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China ,National Center for Neurological Disorders and National Clinical Research Center for Geriatric Diseases, Beijing, China ,grid.24696.3f0000 0004 0369 153XClinical Center for Neurodegenerative Disease and Memory Impairment, Capital Medical University, Beijing, China ,grid.24696.3f0000 0004 0369 153XBeijing Key Laboratory of Geriatric Cognitive Disorders, Beijing, China ,grid.24696.3f0000 0004 0369 153XCenter of Alzheimer’s Disease, Beijing Institute for Brain Disorders, Beijing, China ,grid.419897.a0000 0004 0369 313XKey Laboratory of Neurodegenerative Diseases, Ministry of Education, Beijing, China
| | - Wei Qin
- grid.413259.80000 0004 0632 3337Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China ,National Center for Neurological Disorders and National Clinical Research Center for Geriatric Diseases, Beijing, China ,grid.24696.3f0000 0004 0369 153XClinical Center for Neurodegenerative Disease and Memory Impairment, Capital Medical University, Beijing, China ,grid.24696.3f0000 0004 0369 153XBeijing Key Laboratory of Geriatric Cognitive Disorders, Beijing, China ,grid.24696.3f0000 0004 0369 153XCenter of Alzheimer’s Disease, Beijing Institute for Brain Disorders, Beijing, China ,grid.419897.a0000 0004 0369 313XKey Laboratory of Neurodegenerative Diseases, Ministry of Education, Beijing, China
| | - Wei Wang
- grid.413259.80000 0004 0632 3337Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China ,National Center for Neurological Disorders and National Clinical Research Center for Geriatric Diseases, Beijing, China ,grid.24696.3f0000 0004 0369 153XClinical Center for Neurodegenerative Disease and Memory Impairment, Capital Medical University, Beijing, China ,grid.24696.3f0000 0004 0369 153XBeijing Key Laboratory of Geriatric Cognitive Disorders, Beijing, China ,grid.24696.3f0000 0004 0369 153XCenter of Alzheimer’s Disease, Beijing Institute for Brain Disorders, Beijing, China ,grid.419897.a0000 0004 0369 313XKey Laboratory of Neurodegenerative Diseases, Ministry of Education, Beijing, China
| | - Fangyu Li
- grid.413259.80000 0004 0632 3337Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China ,National Center for Neurological Disorders and National Clinical Research Center for Geriatric Diseases, Beijing, China ,grid.24696.3f0000 0004 0369 153XClinical Center for Neurodegenerative Disease and Memory Impairment, Capital Medical University, Beijing, China ,grid.24696.3f0000 0004 0369 153XBeijing Key Laboratory of Geriatric Cognitive Disorders, Beijing, China ,grid.24696.3f0000 0004 0369 153XCenter of Alzheimer’s Disease, Beijing Institute for Brain Disorders, Beijing, China ,grid.419897.a0000 0004 0369 313XKey Laboratory of Neurodegenerative Diseases, Ministry of Education, Beijing, China
| | - Tan Zhao
- grid.413259.80000 0004 0632 3337Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China ,National Center for Neurological Disorders and National Clinical Research Center for Geriatric Diseases, Beijing, China
| | - Tingting Li
- grid.413259.80000 0004 0632 3337Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China ,National Center for Neurological Disorders and National Clinical Research Center for Geriatric Diseases, Beijing, China ,grid.24696.3f0000 0004 0369 153XClinical Center for Neurodegenerative Disease and Memory Impairment, Capital Medical University, Beijing, China ,grid.24696.3f0000 0004 0369 153XBeijing Key Laboratory of Geriatric Cognitive Disorders, Beijing, China ,grid.24696.3f0000 0004 0369 153XCenter of Alzheimer’s Disease, Beijing Institute for Brain Disorders, Beijing, China ,grid.419897.a0000 0004 0369 313XKey Laboratory of Neurodegenerative Diseases, Ministry of Education, Beijing, China
| | - Qiongqiong Qiu
- grid.413259.80000 0004 0632 3337Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China ,National Center for Neurological Disorders and National Clinical Research Center for Geriatric Diseases, Beijing, China ,grid.24696.3f0000 0004 0369 153XClinical Center for Neurodegenerative Disease and Memory Impairment, Capital Medical University, Beijing, China ,grid.24696.3f0000 0004 0369 153XBeijing Key Laboratory of Geriatric Cognitive Disorders, Beijing, China ,grid.24696.3f0000 0004 0369 153XCenter of Alzheimer’s Disease, Beijing Institute for Brain Disorders, Beijing, China ,grid.419897.a0000 0004 0369 313XKey Laboratory of Neurodegenerative Diseases, Ministry of Education, Beijing, China
| | - Shuman Cao
- grid.413259.80000 0004 0632 3337Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China ,National Center for Neurological Disorders and National Clinical Research Center for Geriatric Diseases, Beijing, China ,grid.24696.3f0000 0004 0369 153XClinical Center for Neurodegenerative Disease and Memory Impairment, Capital Medical University, Beijing, China ,grid.24696.3f0000 0004 0369 153XBeijing Key Laboratory of Geriatric Cognitive Disorders, Beijing, China ,grid.24696.3f0000 0004 0369 153XCenter of Alzheimer’s Disease, Beijing Institute for Brain Disorders, Beijing, China ,grid.419897.a0000 0004 0369 313XKey Laboratory of Neurodegenerative Diseases, Ministry of Education, Beijing, China
| | - Shiyuan Wang
- grid.413259.80000 0004 0632 3337Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China ,National Center for Neurological Disorders and National Clinical Research Center for Geriatric Diseases, Beijing, China ,grid.24696.3f0000 0004 0369 153XClinical Center for Neurodegenerative Disease and Memory Impairment, Capital Medical University, Beijing, China ,grid.24696.3f0000 0004 0369 153XBeijing Key Laboratory of Geriatric Cognitive Disorders, Beijing, China ,grid.24696.3f0000 0004 0369 153XCenter of Alzheimer’s Disease, Beijing Institute for Brain Disorders, Beijing, China ,grid.419897.a0000 0004 0369 313XKey Laboratory of Neurodegenerative Diseases, Ministry of Education, Beijing, China
| | - Yan Wang
- grid.413259.80000 0004 0632 3337Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China ,National Center for Neurological Disorders and National Clinical Research Center for Geriatric Diseases, Beijing, China ,grid.24696.3f0000 0004 0369 153XClinical Center for Neurodegenerative Disease and Memory Impairment, Capital Medical University, Beijing, China ,grid.24696.3f0000 0004 0369 153XBeijing Key Laboratory of Geriatric Cognitive Disorders, Beijing, China ,grid.24696.3f0000 0004 0369 153XCenter of Alzheimer’s Disease, Beijing Institute for Brain Disorders, Beijing, China ,grid.419897.a0000 0004 0369 313XKey Laboratory of Neurodegenerative Diseases, Ministry of Education, Beijing, China
| | - Hongmei Jin
- grid.413259.80000 0004 0632 3337Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China ,National Center for Neurological Disorders and National Clinical Research Center for Geriatric Diseases, Beijing, China ,grid.24696.3f0000 0004 0369 153XClinical Center for Neurodegenerative Disease and Memory Impairment, Capital Medical University, Beijing, China ,grid.24696.3f0000 0004 0369 153XBeijing Key Laboratory of Geriatric Cognitive Disorders, Beijing, China ,grid.24696.3f0000 0004 0369 153XCenter of Alzheimer’s Disease, Beijing Institute for Brain Disorders, Beijing, China ,grid.419897.a0000 0004 0369 313XKey Laboratory of Neurodegenerative Diseases, Ministry of Education, Beijing, China
| | - Aihong Zhou
- grid.413259.80000 0004 0632 3337Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China ,National Center for Neurological Disorders and National Clinical Research Center for Geriatric Diseases, Beijing, China ,grid.24696.3f0000 0004 0369 153XClinical Center for Neurodegenerative Disease and Memory Impairment, Capital Medical University, Beijing, China ,grid.24696.3f0000 0004 0369 153XBeijing Key Laboratory of Geriatric Cognitive Disorders, Beijing, China ,grid.24696.3f0000 0004 0369 153XCenter of Alzheimer’s Disease, Beijing Institute for Brain Disorders, Beijing, China ,grid.419897.a0000 0004 0369 313XKey Laboratory of Neurodegenerative Diseases, Ministry of Education, Beijing, China
| | - Jiliang Fang
- grid.464297.aGuang’anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Longfei Jia
- grid.413259.80000 0004 0632 3337Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China ,National Center for Neurological Disorders and National Clinical Research Center for Geriatric Diseases, Beijing, China ,grid.24696.3f0000 0004 0369 153XClinical Center for Neurodegenerative Disease and Memory Impairment, Capital Medical University, Beijing, China ,grid.24696.3f0000 0004 0369 153XBeijing Key Laboratory of Geriatric Cognitive Disorders, Beijing, China ,grid.24696.3f0000 0004 0369 153XCenter of Alzheimer’s Disease, Beijing Institute for Brain Disorders, Beijing, China ,grid.419897.a0000 0004 0369 313XKey Laboratory of Neurodegenerative Diseases, Ministry of Education, Beijing, China
| | - Jianping Jia
- Innovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China. .,National Center for Neurological Disorders and National Clinical Research Center for Geriatric Diseases, Beijing, China. .,Clinical Center for Neurodegenerative Disease and Memory Impairment, Capital Medical University, Beijing, China. .,Beijing Key Laboratory of Geriatric Cognitive Disorders, Beijing, China. .,Center of Alzheimer's Disease, Beijing Institute for Brain Disorders, Beijing, China. .,Key Laboratory of Neurodegenerative Diseases, Ministry of Education, Beijing, China.
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6
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Zhang Z, Wu Y, Xiong D, Ibrahim JG, Srivastava A, Zhu H. LESA: Longitudinal Elastic Shape Analysis of Brain Subcortical Structures. J Am Stat Assoc 2022; 118:3-17. [PMID: 37153845 PMCID: PMC10162479 DOI: 10.1080/01621459.2022.2102984] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2021] [Revised: 07/01/2022] [Accepted: 07/09/2022] [Indexed: 10/17/2022]
Abstract
Over the past 30 years, magnetic resonance imaging has become a ubiquitous tool for accurately visualizing the change and development of the brain's subcortical structures (e.g., hippocampus). Although subcortical structures act as information hubs of the nervous system, their quantification is still in its infancy due to many challenges in shape extraction, representation, and modeling. Here, we develop a simple and efficient framework of longitudinal elastic shape analysis (LESA) for subcortical structures. Integrating ideas from elastic shape analysis of static surfaces and statistical modeling of sparse longitudinal data, LESA provides a set of tools for systematically quantifying changes of longitudinal subcortical surface shapes from raw structure MRI data. The key novelties of LESA include: (i) it can efficiently represent complex subcortical structures using a small number of basis functions and (ii) it can accurately delineate the spatiotemporal shape changes of the human subcortical structures. We applied LESA to analyze three longitudinal neuroimaging data sets and showcase its wide applications in estimating continuous shape trajectories, building life-span growth patterns, and comparing shape differences among different groups. In particular, with the Alzheimer's Disease Neuroimaging Initiative (ADNI) data, we found that the Alzheimer's Disease (AD) can significantly speed the shape change of ventricle and hippocampus from 60 to 75 years old compared with normal aging.
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Affiliation(s)
- Zhengwu Zhang
- Department of Statistics and Operations Research, University of North Carolina at Chapel Hill Chapel Hill, North Carolina
| | - Yuexuan Wu
- Department of Statistics, Florida State University, Tallahassee, Florida
| | - Di Xiong
- Departments of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Joseph G. Ibrahim
- Departments of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Anuj Srivastava
- Department of Statistics, Florida State University, Tallahassee, Florida
| | - Hongtu Zhu
- Department of Statistics and Operations Research, University of North Carolina at Chapel Hill Chapel Hill, North Carolina
- Departments of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
- Departments of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
- Departments of Computer Science, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
- Biomedical Research Imaging Center, University of North Carolina at Chapel, Hill Chapel Hill, North Carolina
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7
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Deng S, Sun L, Chen W, Liu X, Chen S. Effect of APOEε4 on Functional Brain Network in Patients with Subjective Cognitive Decline: A Resting State Functional MRI Study. Int J Gen Med 2021; 14:9761-9771. [PMID: 34934350 PMCID: PMC8684393 DOI: 10.2147/ijgm.s342673] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2021] [Accepted: 12/06/2021] [Indexed: 11/29/2022] Open
Abstract
PURPOSE Subjective cognitive decline (SCD) is the earliest symptom stage of Alzheimer's disease (AD), and the APOEε4 allele is the strongest genetic risk factor for sporadic AD. Based on graph theory, the resting state functional connectivity (rsFC) in SCD patients with APOEε4 was studied to explore the effect of APOEε4 on the rsFC network properties of SCD patients. PATIENTS AND METHODS This cross-sectional study included MRI image data from 19 SCD patients with APOEε4 (SCD+), 29 SCD patients without APOEε4 (SCD-), and 30 normal control (NC-) individuals without APOEε4. We generated a binary matrix based on anatomical automatic labeling (AAL) 90 atlas to construct the functional network. We then calculated the whole brain network characteristics and intracerebral node characteristics by graph theory. RESULTS For the whole brain network characteristics, all three groups showed small-worldness. The SCD+ group had increased compensatory information transfer speed and enhanced integration capability. This group also had high heterogeneity for intracerebral node characteristics, mainly in the default mode network, left superior occipital gyrus, and bilateral putamen. CONCLUSION APOEε4 effects the functional brain network in patients with SCD and may be a potential indicator for the identification of SCD.
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Affiliation(s)
- Simin Deng
- The Second School of Clinical Medicine, Southern Medical University, Dongguan Tung Wah Hospital, Guangdong, People’s Republic of China
| | - Lingyu Sun
- Department of Rehabilitation Medicine, Dongguan Tung Wah Hospital, Guangdong, People’s Republic of China
| | - Weijie Chen
- The Second School of Clinical Medicine, Southern Medical University, Dongguan Tung Wah Hospital, Guangdong, People’s Republic of China
| | - Xiaorong Liu
- Department of Rehabilitation Medicine, Dongguan Tung Wah Hospital, Guangdong, People’s Republic of China
| | - Shangjie Chen
- Department of Rehabilitation Medicine, Affiliated Baoan Hospital of Shenzhen, Southern Medical University, Guangdong, People’s Republic of China
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8
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Ho SH, Yang DW. Risk Factors Predicting Amyloid PET Positivity in Patients with Mild Cognitive Impairment and Apolipoprotein E ɛ3/ɛ3 Genotypes. J Alzheimers Dis 2021; 77:1017-1024. [PMID: 32804143 DOI: 10.3233/jad-200439] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND The apolipoprotein E (APOE) ɛ4 allele is a well-known risk factor for AD and is associated with higher amyloid deposition and earlier dementia onset. However, the relationship between amyloid pathology and the most common APOE allele, ɛ3, has not been well studied. OBJECTIVE In this study, we aimed to identify the risk factors predicting amyloid PET positivity in patients with mild cognitive impairment (MCI) and APOEɛ3/ɛ3 genotypes. METHODS We retrospectively reviewed the medical records of MCI patients with APOEɛ3/ɛ3 genotypes who underwent amyloid PET scanning. Demographics, neuropsychological tests, and brain MRI were obtained. We analyzed which risk factors could affect amyloid PET positivity in MCI patients with APOEɛ3/ɛ3 genotypes using logistic regression models. RESULTS We recruited 171 MCI patients with APOEɛ3/ɛ3 genotypes in this study. Out of 171 patients, 49 patients (28.65%) showed positive results in the amyloid PET scans. In a multivariate logistic regression model, amyloid positivity was associated with frontal atrophy (OR = 2.63, p = 0.009), and CDR-SOB scores (OR = 2.46, p = 0.013). The odds ratio for amyloid PET positivity in patients older than and equal to 75 years with both frontal atrophy and CDR-SOB scores >1.0 was 3.63. CONCLUSION Our study demonstrated that frontal atrophy, high CDR-SOB scores, and old age were risk factors associated with amyloid PET positivity in MCI with APOEɛ3/ɛ3 genotypes.
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Affiliation(s)
- Seong Hee Ho
- Department of Neurology, The Catholic University of Korea Seoul St. Mary's hospital, Seoul, Republic of Korea
| | - Dong-Won Yang
- Department of Neurology, The Catholic University of Korea Seoul St. Mary's hospital, Seoul, Republic of Korea
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9
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Olofsson JK. Olfaction and Aging: A Review of the Current State of Research and Future Directions. Iperception 2021; 12:20416695211020331. [PMID: 34249327 PMCID: PMC8239976 DOI: 10.1177/20416695211020331] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2020] [Accepted: 04/21/2021] [Indexed: 11/16/2022] Open
Abstract
Olfaction, the sense of smell, is characterized by a notable age-dependency such that aging individuals are more likely to have poor olfactory abilities. These impairments are considered to be mostly irreversible and as having potentially profound effects on quality of life and food behavior, as well as constituting warning signs of mortality, cognitive dysfunction, and dementia. Here, we review the current state of research on aging and olfaction, focusing on five topics which we regard to be of particular relevance for the field: nutrition and health, cognition and dementia, mortality, environment and genetics, and training-based enhancement. Under each of these headlines, we provide a state-of-the-art overview and discuss gaps in our knowledge which might be filled by further research. Understanding how olfactory abilities are diminished in aging, and how they may be alleviated or recovered, involves a set of challenging tasks for researchers in the years to come.
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Affiliation(s)
- Jonas K. Olofsson
- Gösta Ekman Laboratory, Stockholm University, Stockholm, Sweden; Department of Psychology, Stockholm University, Stockholm, Sweden
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10
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McKinnon AC, Stickel A, Ryan L. Cardiovascular risk factors and APOE-ε4 status affect memory functioning in aging via changes to temporal stem diffusion. J Neurosci Res 2020; 99:502-517. [PMID: 33070365 DOI: 10.1002/jnr.24734] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2020] [Revised: 07/28/2020] [Accepted: 09/02/2020] [Indexed: 01/08/2023]
Abstract
Prior research investigating associations between hypertension, obesity, and apolipoprotein (APOE) genotype status with memory performance among older adults has yielded inconsistent results. This may reflect, in part, a lack of first accounting for the effects these variables have on structural brain changes, that in turn contribute to age-related memory impairment. The current study sought to clarify the relationships between these factors via path modeling. We hypothesized that higher body mass index (BMI), hypertension, and being an APOE-ε4 allele carrier would predict poorer memory scores, with much of these effects accounted for by indirect effects operating via differences in the integrity of temporal stem white matter. Participants included 125 healthy older adults who underwent neuropsychological assessment and diffusion-weighted MRI scanning. Direct effects were found for hypertension and demographic variables including age, sex, and education. Importantly, indirect effects were found for BMI, hypertension, APOE-ε4 status, age, and sex, where these factors predicted memory scores via their impact on temporal stem diffusion measures. There was also a dual effect of sex, with a direct effect indicating that females had better memory performance overall, and an indirect effect indicating that females with greater temporal stem diffusion had poorer memory performance. Results suggest that changes to the integrity of temporal white matter in aging may underpin reduced memory performance. These results highlight that accounting for variables that not only directly impact cognition, but also for those that indirectly impact cognition via structural brain changes, is crucial for understanding the impact of risk factors on cognition.
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Affiliation(s)
- Andrew C McKinnon
- Cognition and Neuroimaging Laboratory, Department of Psychology, University of Arizona, Tucson, AZ, USA.,Healthy Brain Ageing Program, School of Psychology, University of Sydney, Sydney, NSW, Australia.,Brain and Mind Centre, University of Sydney, Sydney, NSW, Australia
| | - Ariana Stickel
- Cognition and Neuroimaging Laboratory, Department of Psychology, University of Arizona, Tucson, AZ, USA.,Department of Neurosciences, University of California, San Diego, CA, USA
| | - Lee Ryan
- Cognition and Neuroimaging Laboratory, Department of Psychology, University of Arizona, Tucson, AZ, USA
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11
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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: 0.8] [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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12
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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: 121] [Impact Index Per Article: 24.2] [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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13
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Huang YP, Xue JJ, Li C, Chen X, Fu HJ, Fei T, Bi PX. Depression and APOEε4 Status in Individuals with Subjective Cognitive Decline: A Meta-Analysis. Psychiatry Investig 2020; 17:858-864. [PMID: 32853520 PMCID: PMC7538248 DOI: 10.30773/pi.2019.0324] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/20/2020] [Accepted: 05/24/2020] [Indexed: 11/27/2022] Open
Abstract
OBJECTIVE To evaluate the associative role of depression and apolipoprotein E epsilon 4 allele (APOEε4) in subjective cognitive decline (SCD) and its progression to objective cognitive decline. METHODS After literature search in electronic databases, studies were selected by following precise eligibility criteria. Meta-analyses were performed to examine the role of APOEε4 and depression in SCD or its progression to mild cognitive impairment (MCI) or dementia. RESULTS APOEε4 positivity was not different between SCD and normal individuals but was significantly higher in individuals with SCD plus than in normal individuals [odds ratio: 2.39 (95% CI: 1.87, 3.05); p<0.00001] and in SCD converters than in non-converters [odds ratio: 5.19 (95% CI: 2.36, 11.42); p<0.00001]. Depression was significantly higher in individuals with SCD [standardized mean difference: 0.63 (0.45, 0.82); p<0.00001] and SCD plus [standardized mean difference: 0.83 (0.43, 1.22); p<0.0001] than in normal individuals. However, depression was not different between SCD and MCI or between SCD converters and non-converters. Age of SCD converters was higher than non-converters [mean difference: 2.95 years (0.58, 5.31)]. CONCLUSION Whereas APOEε4 positivity was higher in SCD plus and SCD converters, depression was higher in SCD and SCD plus but was not different between SCD and MCI.
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Affiliation(s)
- Yue-Ping Huang
- Department of Gerontological Neurology, Heilongjiang Provincial Hospital, Harbin, China
| | - Ju-Jun Xue
- Department of Gerontological Neurology, Heilongjiang Provincial Hospital, Harbin, China
| | - Chao Li
- Department of Neurology, Hongqi Hospital, Mudanjiang Medical College, Mudanjiang, China
| | - Xi Chen
- Department of Experimental Diagnosis, Heilongjiang Provincial Hospital, Harbin, China
| | - Hong-Juan Fu
- Department of Gerontological Neurology, Heilongjiang Provincial Hospital, Harbin, China
| | - Teng Fei
- Department of Experimental Diagnosis, Heilongjiang Provincial Hospital, Harbin, China
| | - Peng-Xiang Bi
- Department of Neurology, Hongqi Hospital, Mudanjiang Medical College, Mudanjiang, China
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14
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Distribution and clinical impact of apolipoprotein E4 in subjective memory impairment and early mild cognitive impairment. Sci Rep 2020; 10:13365. [PMID: 32770103 PMCID: PMC7414226 DOI: 10.1038/s41598-020-69603-w] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2019] [Accepted: 06/15/2020] [Indexed: 11/24/2022] Open
Abstract
The apolipoprotein E (APOE) e4 allele is the most common genetic variant associated with Alzheimer’s disease (AD). We sought to investigate the distribution of APOE genotypes across the full clinical AD spectrum including AD, late-stage amnestic mild cognitive impairment (L-aMCI), early-stage aMCI (E-aMCI), subjective memory impairment (SMI), and controls. We prospectively recruited 713 AD patients, 735 aMCI patients, 575 SMI patients, and 8,260 individuals as controls. The frequency of the APOE e4 allele revealed an ordered fashion in the AD (30.8%), L-aMCI (24.0%), E-aMCI (15.1%), SMI (11.7%), and control (9.1%) groups. APOE e3/e4 and e4/e4 genotype frequencies also appeared in an ordered fashion in the AD group (39.1% of e3/e4 and 10.9% of e4/e4), as well as the L-aMCI (28.3% and 9.4%), E-aMCI (22.3% and 3.7%), SMI (18.3% and 1.9%), and control (15.1% and 0.8%) groups. In the comparisons of APOE e3/e3 vs. e3/e4 genotypes, all patient groups had a higher frequency of APOE e3/e4 relative to the control group. Relative to the SMI and E-aMCI groups, the AD and L-aMCI groups had higher frequency of the APOE e3/e4 genotype, and the AD group had a higher frequency relative to the L-aMCI group. However, there was no significant difference between the E-aMCI and SMI groups. In our longitudinal data, APOE e4 carrier showed a steeper incline slope in a clinical dementia rating sum of boxes (CDR-SB) score than APOE e4 non-carrier in SMI (B = 0.0066, p = 0.0104), E-aMCI (B = 0.0313, p < 0.0001), and L-aMCI (B = 0.0178, p = 0.0007). APOE e4 carrier showed a steeper decline slope in the CDR-SB than APOE e4 non-carrier in AD (B = − 0.0309, p = 0.0003). These findings suggest that E-aMCI and SMI are associated with a similarly increased frequency of the APOE e4 allele compared to controls, suggesting a greater genetic risk for AD and the importance of monitoring the allele more closely.
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15
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Kulkarni P, Grant S, Morrison TR, Cai X, Iriah S, Kristal BS, Honeycutt J, Brenhouse H, Hartner JC, Madularu D, Ferris CF. Characterizing the human APOE epsilon 4 knock-in transgene in female and male rats with multimodal magnetic resonance imaging. Brain Res 2020; 1747:147030. [PMID: 32745658 DOI: 10.1016/j.brainres.2020.147030] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2020] [Revised: 06/23/2020] [Accepted: 07/22/2020] [Indexed: 12/12/2022]
Abstract
The APOE Ɛ4 genotype is the most prevalent genetic risk for Alzheimer's disease (AD). Women carriers of Ɛ4 have higher risk for an early onset of AD than men. Human imaging studies suggest apolipoprotein Ɛ4 may affect brain structures associated with cognitive decline in AD many years before disease onset. It was hypothesized that female APOE Ɛ4 carriers would present with decreased cognitive function and neuroradiological evidence of early changes in brain structure and function as compared to male carriers. Six-month old wild-type (WT) and human APOE Ɛ4 knock-in (TGRA8960), male and female Sprague Dawley rats were studied for changes in brain structure using voxel-based morphometry, alteration in white and gray matter microarchitecture using diffusion weighted imaging with indices of anisotropy, and functional coupling using resting state BOLD functional connectivity. Images from each modality were registered to, and analyzed, using a 3D MRI rat atlas providing site-specific data on over 168 different brain areas. Quantitative volumetric analysis revealed areas involved in memory and arousal were significantly different between Ɛ4 and wild-type (WT) females, with few differences between male genotypes. Diffusion weighted imaging showed few differences between WT and Ɛ4 females, while male genotypes showed significant different measures in fractional anisotropy and apparent diffusion coefficient. Resting state functional connectivity showed Ɛ4 females had greater connectivity between areas involved in cognition, emotion, and arousal compared to WT females, with male Ɛ4 showing few differences from controls. Interestingly, male Ɛ4 showed increased anxiety and decreased performance in spatial and episodic memory tasks compared to WT males, with female genotypes showing little difference across behavioral tests. The sex differences in behavior and diffusion weighted imaging suggest male carriers of the Ɛ4 allele may be more vulnerable to cognitive and emotional complications compared to female carriers early in life. Conversely, the data may also suggest that female carriers are more resilient to cognitive/emotional problems at this stage of life perhaps due to altered brain volumes and enhanced connectivity.
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Affiliation(s)
- Praveen Kulkarni
- Northeastern Univ, Center for Translational NeuroImaging, Boston, MA, United States
| | - Simone Grant
- Dept of Psychiatry and Neurosciences, Univ California at Davis, United States
| | - Thomas R Morrison
- Northeastern Univ, Center for Translational NeuroImaging, Boston, MA, United States
| | - Xuezhu Cai
- Northeastern Univ, Center for Translational NeuroImaging, Boston, MA, United States
| | - Sade Iriah
- Northeastern Univ, Center for Translational NeuroImaging, Boston, MA, United States
| | - Bruce S Kristal
- Dept Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States
| | | | | | | | - Dan Madularu
- Northeastern Univ, Center for Translational NeuroImaging, Boston, MA, United States
| | - Craig F Ferris
- Northeastern Univ, Center for Translational NeuroImaging, Boston, MA, United States; Northeastern Univ, Dept. Pharmaceutical Sciences, Boston, MA, United States.
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16
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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: 6] [Impact Index Per Article: 1.2] [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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17
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Jenkins A, Tree JJ, Thornton IM, Tales A. Subjective Cognitive Impairment in 55-65-Year-Old Adults Is Associated with Negative Affective Symptoms, Neuroticism, and Poor Quality of Life. J Alzheimers Dis 2020; 67:1367-1378. [PMID: 30689577 PMCID: PMC6398551 DOI: 10.3233/jad-180810] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023]
Abstract
Although subjective cognitive impairment (SCI) is increasingly recognized clinically and in research as a risk factor for mild cognitive impairment and dementia (particularly Alzheimer’s disease), it is etiologically heterogeneous and potentially treatable. Compared to mild cognitive impairment and Alzheimer’s disease, SCI however remains poorly characterized with debate continuing regarding its clinical relevance. The primary aim of this study was to improve the characterization of SCI within the general public by investigating functions sometimes omitted clinically or in research, namely visual attention-related information processing speed (RT) and its intra-individual variability (IIVRT), general cognition, depression, anxiety, memory, quality of life (QOL), and neuroticism. Compared to individuals without SCI, those with SCI were more likely to reveal higher scores of anxiety, depression, and neuroticism and poorer perceived physical, psychological, and environmental QOL. Within-group analysis identified no significant relationships between any of the above variables for the non-SCI group whereas for the SCI group, poorer Cognitive Change Index scores were significantly correlated with slower RT, raised IIVRT, poorer memory, negative affective symptoms, higher neuroticism scores, and poorer QOL. This indicates that reports of perceived memory changes in SCI can also be associated with other characteristics, namely objectively measured detrimental change in other aspects of brain function and behavior. This outcome emphasizes the importance of a multi-function approach to characterizing and understanding SCI. Thus, although the effect of RT and IIVRT is not strong enough to differentiate SCI from non-SCI at group level, slowing and raised IIVRT do appear to characterize some people with SCI.
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Affiliation(s)
- Amy Jenkins
- Centre for Innovative Ageing, Swansea University, Wales, UK
| | - Jeremy J Tree
- Department of Psychology, Swansea University, Wales, UK
| | - Ian M Thornton
- Department of Cognitive Science, University of Malta, Malta
| | - Andrea Tales
- Centre for Innovative Ageing, Swansea University, Wales, UK
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18
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Rabipour S, Rajagopal S, Yu E, Pasvanis S, Lafaille-Magnan ME, Breitner J, Rajah MN. APOE4 Status is Related to Differences in Memory-Related Brain Function in Asymptomatic Older Adults with Family History of Alzheimer's Disease: Baseline Analysis of the PREVENT-AD Task Functional MRI Dataset. J Alzheimers Dis 2020; 76:97-119. [PMID: 32474466 PMCID: PMC7369116 DOI: 10.3233/jad-191292] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/10/2020] [Indexed: 11/29/2022]
Abstract
BACKGROUND Episodic memory decline is one of the earliest symptoms of late-onset Alzheimer's disease (AD). Older adults with the apolipoprotein E ɛ4 (+APOE4) genetic risk factor for AD may exhibit altered patterns of memory-related brain activity years prior to initial symptom onset. OBJECTIVE Here we report the baseline episodic memory task functional MRI results from the PRe-symptomatic EValuation of Experimental or Novel Treatments for Alzheimer's Disease cohort in Montreal, Canada, in which 327 healthy older adults were scanned within 15 years of their parent's conversion to AD. METHODS Volunteers were scanned as they encoded and retrieved object-location spatial source associations. The task was designed to discriminate between brain activity related to spatial source recollection and object-only (recognition) memory. We used multivariate partial least squares (PLS) to test the hypothesis that +APOE4 adults with family history of AD would exhibit altered patterns of brain activity in the recollection-related memory network, comprised of medial frontal, parietal, and medial temporal cortices, compared to APOE4 non-carriers (-APOE4). We also examined group differences in the correlation between event-related brain activity and memory performance. RESULTS We found group similarities in memory performance and in task-related brain activity in the recollection network, but differences in brain activity-behavior correlations in ventral occipito-temporal, medial temporal, and medial prefrontal cortices during episodic encoding. CONCLUSION These findings are consistent with previous literature on the influence of APOE4 on brain activity and provide new perspective on potential gene-based differences in brain-behavior relationships in people with first-degree family history of AD.
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Affiliation(s)
- Sheida Rabipour
- Centre for Cerebral Imaging, Douglas Hospital Research Centre, Montreal, Canada
- Department of Psychiatry, McGill University, Montreal, Canada
| | | | - Elsa Yu
- Integrated Program in Neuroscience, McGill University, Montreal, Canada
| | - Stamatoula Pasvanis
- Centre for Cerebral Imaging, Douglas Hospital Research Centre, Montreal, Canada
| | - Marie-Elyse Lafaille-Magnan
- Department of Psychiatry, McGill University, Montreal, Canada
- Center for Studies on Prevention of Alzheimer’s Disease, Montreal, Canada
- Lady Davis Center for Medical Research, Jewish General Hospital, Montreal, Canada
| | - John Breitner
- Centre for Cerebral Imaging, Douglas Hospital Research Centre, Montreal, Canada
- Center for Studies on Prevention of Alzheimer’s Disease, Montreal, Canada
| | | | - M. Natasha Rajah
- Centre for Cerebral Imaging, Douglas Hospital Research Centre, Montreal, Canada
- Department of Psychiatry, McGill University, Montreal, Canada
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19
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Manousakis JE, Scovelle AJ, Rajaratnam SMW, Naismith SL, Anderson C. Advanced Circadian Timing and Sleep Fragmentation Differentially Impact on Memory Complaint Subtype in Subjective Cognitive Decline. J Alzheimers Dis 2019; 66:565-577. [PMID: 30320584 DOI: 10.3233/jad-180612] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
BACKGROUND Increased sleep fragmentation and advanced circadian timing are hallmark phenotypes associated with increased age-related cognitive decline. Subjective cognitive decline (SCD) is considered a prodromal stage of neurodegeneration and dementia; however, little is known about how sleep and circadian timing impact on memory complaints in SCD. OBJECTIVE To determine how sleep and circadian timing impact on memory complaint subtypes in older adults with SCD. METHODS Twenty-five older adults with SCD (mean age = 69.97, SD = 5.33) completed the Memory Functioning Questionnaire to characterize their memory complaints. They also underwent neuropsychological assessment, and completed 1 week of at-home monitoring of sleep with actigraphy and sleep diaries. This was followed by a two-night laboratory visit with overnight polysomnography and a dim light melatonin onset assessment to measure circadian timing. RESULTS Advanced circadian timing was associated with greater memory complaints, specifically poorer memory of past events (r = -0.688, p = 0.002), greater perceived decline over time (r = -0.568, p = 0.022), and increased reliance on mnemonic tools (r = -0.657, p = 0.004). Increased sleep fragmentation was associated with reduced self-reported memory decline (r = 0.529, p = 0.014), and reduced concern about everyday forgetfulness (r = 0.435, p = 0.038). CONCLUSION Advanced circadian timing was associated with a number of subjective memory complaints and symptoms. By contrast, sleep fragmentation was linked to lowered perceptions of cognitive decline, and less concern about memory failures. As circadian disruption is apparent in both MCI and Alzheimer's disease, and plays a key role in cognitive function, our findings further support a circadian intervention as a potential therapeutic tool for cognitive decline.
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Affiliation(s)
- Jessica E Manousakis
- Monash Institute of Cognitive and Clinical Neurosciences, School of Psychological Sciences, Monash University, VIC, Australia.,National Health and Medical Research Council, Centre of Research Excellence 'Neurosleep', Australia
| | - Anna J Scovelle
- Monash Institute of Cognitive and Clinical Neurosciences, School of Psychological Sciences, Monash University, VIC, Australia
| | - Shantha M W Rajaratnam
- Monash Institute of Cognitive and Clinical Neurosciences, School of Psychological Sciences, Monash University, VIC, Australia.,National Health and Medical Research Council, Centre of Research Excellence 'Neurosleep', Australia
| | - Sharon L Naismith
- National Health and Medical Research Council, Centre of Research Excellence 'Neurosleep', Australia.,Healthy Brain Ageing Program, Brain and Mind Centre, The University of Sydney, Sydney, Australia.,School of Psychology, Charles Perkins Centre, The University of Sydney, Sydney, Australia
| | - Clare Anderson
- Monash Institute of Cognitive and Clinical Neurosciences, School of Psychological Sciences, Monash University, VIC, Australia.,National Health and Medical Research Council, Centre of Research Excellence 'Neurosleep', Australia
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20
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Ali JI, Smart CM, Gawryluk JR. Subjective Cognitive Decline and APOE ɛ4: A Systematic Review. J Alzheimers Dis 2019; 65:303-320. [PMID: 30040718 DOI: 10.3233/jad-180248] [Citation(s) in RCA: 32] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
Individuals with subjective cognitive decline (SCD) report self-perceived declines in cognitive function but perform within normal limits on standardized tests. However, for some, these self-perceived changes may herald eventual decline to Alzheimer's disease (AD). In light of this, the relationship between SCD and APOE ɛ4, a known genetic risk factor for AD, has garnered interest; however, no systematic review of this literature exists. The current review (n = 36 articles) examined the prevalence of APOE ɛ4 in SCD samples relative to healthy and objectively impaired samples, and summarized APOE ɛ4-related risk of conversion from SCD to AD. Univariate ANOVA indicated that APOE ɛ4 frequency was comparable between healthy control and SCD samples, yet significantly higher in objectively impaired samples (i.e., MCI, AD) relative to either of these groups. Narrative review provided mixed evidence linking coincident APOE ɛ4-positive genotype and SCD to structural neuropathology. Though there was little evidence to suggest that APOE ɛ4 predisposes individuals to developing SCD, both APOE ɛ4 and SCD were found to confer individual and multiplicative risk of conversion to objective cognitive impairment. Combined, it is likely that a relationship between APOE ɛ4, SCD, and AD exists, though its exact nature remains undetermined. A clearer understanding of these relationships is hindered by a lack of standardization in SCD classification and a dearth of longitudinal outcome research. Wide-scale adoption of genetic screening for dementia risk in persons with SCD is considered premature at this time. Ethical considerations and clinical implications of genetic testing for dementia risk are discussed.
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Affiliation(s)
- Jordan I Ali
- Department of Psychology, University of Victoria, Victoria, BC, Canada.,Institute on Aging & Lifelong Health, University of Victoria, Victoria, BC, Canada
| | - Colette M Smart
- Department of Psychology, University of Victoria, Victoria, BC, Canada.,Institute on Aging & Lifelong Health, University of Victoria, Victoria, BC, Canada
| | - Jodie R Gawryluk
- Department of Psychology, University of Victoria, Victoria, BC, Canada.,Institute on Aging & Lifelong Health, University of Victoria, Victoria, BC, Canada
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21
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Bostancıklıoğlu M. Optogenetic stimulation of serotonin nuclei retrieve the lost memory in Alzheimer's disease. J Cell Physiol 2019; 235:836-847. [PMID: 31332785 DOI: 10.1002/jcp.29077] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2019] [Accepted: 06/21/2019] [Indexed: 12/29/2022]
Abstract
How are memories stored and retrieved? It was one of the most discussed questions in the past century by neuroscientists. Leading studies of the period brought two different explanations to this question: The first statement considers memory as a physiological change in the brain and suggest that the retrieval of memory is only occurred by the same physiologic changes observed during the memory formation, while the second suggests that memory is a psychic mood stored in mind and the retrieval of memory is occurred by mystical energy fluctuations. Although the exact reason and the pathogenesis of Alzheimer's disease have not yet been fully understood, the approaches that centered the retrieval strategy of lost memory constitutes the basis of the treatment strategies in Alzheimer's disease today. The majority of treatment studies has based on the manipulation of the cholinergic system; however, although serotonin has mnemonic effects, its role in the pathogenesis of Alzheimer's disease has not been investigated as much as the cholinergic system. Here we show how serotonin affects the pathogenesis of Alzheimer's disease in a comprehensive perspective and we suggest that the optogenetics manipulation of serotonin nuclei retrieve the lost memory by closing the inward-rectifier potassium channel Kir2 on the memory engram cells. Also, we raise the possible effects of serotonin on the memory engram cells and the interactions between the amyloid-centric hypothesis of Alzheimer's disease and the memory engram hypothesis to explain the pathophysiology of memory loss in Alzheimer's disease.
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22
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Is brain connectome research the future frontier for subjective cognitive decline? A systematic review. Clin Neurophysiol 2019; 130:1762-1780. [PMID: 31401485 DOI: 10.1016/j.clinph.2019.07.004] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2019] [Revised: 06/26/2019] [Accepted: 07/07/2019] [Indexed: 11/24/2022]
Abstract
OBJECTIVE We performed a systematic literature review on Subjective Cognitive Decline (SCD) in order to examine whether the resemblance of brain connectome and functional connectivity (FC) alterations in SCD with respect to MCI, AD and HC can help us draw conclusions on the progression of SCD to more advanced stages of dementia. METHODS We searched for studies that used any neuroimaging tool to investigate potential differences/similarities of brain connectome in SCD with respect to HC, MCI, and AD. RESULTS Sixteen studies were finally included in the review. Apparent FC connections and disruptions were observed in the white matter, default mode and gray matter networks in SCD with regards to HC, MCI, and AD. Interestingly, more apparent connections in SCD were located over the posterior regions, while an increase of FC over anterior regions was observed as the disease progressed. CONCLUSIONS Elders with SCD display a significant disruption of the brain network, which in most of the cases is worse than HC across multiple network parameters. SIGNIFICANCE The present review provides comprehensive and balanced coverage of a timely target research activity around SCD with the intention to identify similarities/differences across patient groups on the basis of brain connectome properties.
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23
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Kim D, Lee S, Choi M, Youn H, Suh S, Jeong HG, Han CE. Diffusion tensor imaging reveals abnormal brain networks in elderly subjects with subjective cognitive deficits. Neurol Sci 2019; 40:2333-2342. [DOI: 10.1007/s10072-019-03981-6] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2019] [Accepted: 06/13/2019] [Indexed: 12/27/2022]
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24
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Sun Y, Wang X, Wang Y, Dong H, Lu J, Scheininger T, Ewers M, Jessen F, Zuo XN, Han Y. Anxiety correlates with cortical surface area in subjective cognitive decline: APOE ε4 carriers versus APOE ε4 non-carriers. ALZHEIMERS RESEARCH & THERAPY 2019; 11:50. [PMID: 31159873 PMCID: PMC6547570 DOI: 10.1186/s13195-019-0505-0] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/14/2019] [Accepted: 05/16/2019] [Indexed: 12/31/2022]
Abstract
Background Subjective cognitive decline (SCD) is characterized by self-reported cognitive deficits without measurable cognitive impairment. It has been suggested that individuals with SCD exhibited brain structural alterations in widespread cortical thinning or gray matter loss in the medial temporal and frontotemporal regions. Apolipoprotein E (APOE) ε4 allele is thought to be a genetic marker associated with risk of SCD. Neuropsychiatric symptoms may provide insight in detecting higher-risk elders for early Alzheimer’s disease as well. Therefore, we aim to explore the characteristics of brain morphology in SCD and to determine whether it is influenced by APOE ε4 as well as neuropsychiatric symptoms in SCD. Methods A total of 138 cognitively normal older individuals from the SILCODE cohort underwent a clinical interview, neuropsychological assessments, a blood test, and MRI. A two-sample t-test was used to examine the cortex volume and bilateral cortical surface area alterations between SCD (n = 65) and controls (n = 73). A general linear model analysis was used to test for both main and interaction effects of clinical phenotype (SCD vs. controls) and APOE on global and regional cortex volume and bilateral cortical surface area and thickness. A multiple linear regression analysis was conducted to determine the effects of the APOE genotype on the relationships between morphometric features and neuropsychiatric symptoms in SCD. Results Compared with controls, individuals with SCD showed decreased total cortical volumes and cortical surface area. SCD APOE ε4 carriers showed additive reduction in the right cortical surface area. The evaluation scores of anxiety symptoms were negatively associated with the right cortical surface area in SCD APOE 4 non-carriers. Conclusions Individuals with SCD had an altered cortical surface area, and APOE genotype and anxiety symptoms are modified factors on the cortical surface area decrease in SCD. Trial registration ClinicalTrials.gov (Identifier: NCT03370744). Registered 15 March 2017. Electronic supplementary material The online version of this article (10.1186/s13195-019-0505-0) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Yu Sun
- Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China
| | - Xiaoni Wang
- Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China
| | - Yinshan Wang
- CAS Key Laboratory of Behavioral Science and Research Center for Lifespan Development of Mind and Brain (CLIMB), Institute of Psychology, Beijing, China
| | - Haoming Dong
- CAS Key Laboratory of Behavioral Science and Research Center for Lifespan Development of Mind and Brain (CLIMB), Institute of Psychology, Beijing, China
| | - Jie Lu
- Department of Radiology, Xuanwu Hospital of Capital Medical University, Beijing, China
| | - Tohar Scheininger
- Center for the Developing Brain, Child Mind Institute, New York, USA
| | - Michael Ewers
- Institute for Stroke and Dementia Research (ISD), Ludwig-Maximilians-Universität (LMU), Munich, Germany
| | - Frank Jessen
- Department of Psychiatry, Medical Faculty, University of Cologne, Cologne, Germany
| | - Xi-Nian Zuo
- CAS Key Laboratory of Behavioral Science and Research Center for Lifespan Development of Mind and Brain (CLIMB), Institute of Psychology, Beijing, China
| | - Ying Han
- Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China. .,National Clinical Research Center for Geriatric Disorders, Beijing, China. .,Beijing Institute of Geriatrics, Beijing, China. .,Center of Alzheimer's Disease, Beijing Institute for Brain Disorders, Beijing, China.
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25
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Müller-Gerards D, Weimar C, Abramowski J, Tebrügge S, Jokisch M, Dragano N, Erbel R, Jöckel KH, Moebus S, Winkler A. Subjective cognitive decline, APOE ε4, and incident mild cognitive impairment in men and women. ALZHEIMER'S & DEMENTIA: DIAGNOSIS, ASSESSMENT & DISEASE MONITORING 2019; 11:221-230. [PMID: 30891488 PMCID: PMC6404645 DOI: 10.1016/j.dadm.2019.01.007] [Citation(s) in RCA: 30] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/25/2023]
Abstract
Introduction Possible joint effects of subjective cognitive decline (SCD) and apolipoprotein E (APOE) ε4 genotype on incident mild cognitive impairment (MCI) were examined for men and women separately. Methods Cognitively normal participants with and without SCD were included from the first follow-up examination of the population-based Heinz Nixdorf Recall study. Sex-stratified logistic regression models estimated main effects and interactions (additive, multiplicative) of SCD at the first follow-up (yes+/no−) and APOE ε4 (positive+/negative−) groups for MCI 5 years later. Results Odds for MCI 5 years later were higher in SCD/APOE ε4 group +/+ than the sum of groups +/− and −/+ in women, with a trend for positive interaction. Odds for incident MCI in men was highest in group +/−, with no interaction effect. Discussion Our findings indicate that APOE ε4 may play an important role in the association of SCD and incident MCI, especially considering sex. Further studies need to examine these associations with larger sample sizes.
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Affiliation(s)
- Diana Müller-Gerards
- Department of Neurology, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - Christian Weimar
- Department of Neurology, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - Jessica Abramowski
- Department of Neurology, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - Sarah Tebrügge
- Department of Neurology, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - Martha Jokisch
- Department of Neurology, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - Nico Dragano
- Institute of Medical Sociology, Centre for Health and Society, University of Düsseldorf, Medical Faculty, University of Düsseldorf, Düsseldorf, Germany
| | - Raimund Erbel
- Institute of Medical Informatics, Biometrics and Epidemiology, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - Karl-Heinz Jöckel
- Institute of Medical Informatics, Biometrics and Epidemiology, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - Susanne Moebus
- Institute of Medical Informatics, Biometrics and Epidemiology, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - Angela Winkler
- Department of Neurology, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
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26
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Sánchez-Benavides G, Grau-Rivera O, Suárez-Calvet M, Minguillon C, Cacciaglia R, Gramunt N, Falcon C, Gispert JD, Molinuevo JL. Brain and cognitive correlates of subjective cognitive decline-plus features in a population-based cohort. ALZHEIMERS RESEARCH & THERAPY 2018; 10:123. [PMID: 30572953 PMCID: PMC6302483 DOI: 10.1186/s13195-018-0449-9] [Citation(s) in RCA: 49] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/06/2018] [Accepted: 11/18/2018] [Indexed: 11/20/2022]
Abstract
Background Subjective cognitive decline (SCD) consists of self-perceived decline in cognition over time. The occurrence of specific additional features in SCD (so-called SCDplus) confers a higher risk of future cognitive decline. However, it is not known whether SCDplus patients have a distinct cognitive and neuroimaging profile. Therefore, we aimed to study the associations between SCDplus features and cognitive and neuroimaging profiles in a population-based cohort. Methods A total of 2670 individuals from the ALFA cohort underwent clinical, cognitive, and MRI (n = 532) explorations. Subjects were classified as self-reporting cognitive decline (SCD) or not self-reporting cognitive decline (non-SCD). Within the SCD group, participants were also classified according to the number of SCDplus features they met (SCD+, > 3; SCD–, ≤ 3). Results The prevalence of SCD in the cohort was 21.4% (55.8% SCD–, 44.2% SCD+). SCD+ subjects performed worse than non-SCD and SCD– subjects in memory and executive function. Among the SCDplus features, confirmation of decline by an informant was the best predictor of worse cognitive performance and lower gray matter volumes. Conclusions Our findings show that individuals with SCDplus features have a distinct cognitive and brain volumetric profile similar to that found in Alzheimer’s disease and therefore support the use of the SCDplus concept as an enrichment criterion in population-based cohorts. Electronic supplementary material The online version of this article (10.1186/s13195-018-0449-9) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Gonzalo Sánchez-Benavides
- Barcelonaβeta Brain Research Center, Pasqual Maragall Foundation, C/ Wellington 30, 08005, Barcelona, Spain.,CIBER Fragilidad y Envejecimiento Saludable (CIBERFES), Madrid, Spain
| | - Oriol Grau-Rivera
- Barcelonaβeta Brain Research Center, Pasqual Maragall Foundation, C/ Wellington 30, 08005, Barcelona, Spain
| | - Marc Suárez-Calvet
- Barcelonaβeta Brain Research Center, Pasqual Maragall Foundation, C/ Wellington 30, 08005, Barcelona, Spain
| | - Carolina Minguillon
- Barcelonaβeta Brain Research Center, Pasqual Maragall Foundation, C/ Wellington 30, 08005, Barcelona, Spain.,CIBER Fragilidad y Envejecimiento Saludable (CIBERFES), Madrid, Spain
| | - Raffaele Cacciaglia
- Barcelonaβeta Brain Research Center, Pasqual Maragall Foundation, C/ Wellington 30, 08005, Barcelona, Spain
| | - Nina Gramunt
- Barcelonaβeta Brain Research Center, Pasqual Maragall Foundation, C/ Wellington 30, 08005, Barcelona, Spain.,CIBER Fragilidad y Envejecimiento Saludable (CIBERFES), Madrid, Spain
| | - Carles Falcon
- Barcelonaβeta Brain Research Center, Pasqual Maragall Foundation, C/ Wellington 30, 08005, Barcelona, Spain.,Centro de Investigación Biomédica en Red de Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), Madrid, Spain
| | | | - Juan Domingo Gispert
- Barcelonaβeta Brain Research Center, Pasqual Maragall Foundation, C/ Wellington 30, 08005, Barcelona, Spain.,Centro de Investigación Biomédica en Red de Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), Madrid, Spain.,Universitat Pompeu Fabra, Barcelona, Spain
| | - José Luis Molinuevo
- Barcelonaβeta Brain Research Center, Pasqual Maragall Foundation, C/ Wellington 30, 08005, Barcelona, Spain. .,CIBER Fragilidad y Envejecimiento Saludable (CIBERFES), Madrid, Spain.
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27
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Cespón J, Galdo-Álvarez S, Díaz F. Event-Related Potentials Reveal Altered Executive Control Activity in Healthy Elderly With Subjective Memory Complaints. Front Hum Neurosci 2018; 12:445. [PMID: 30487741 PMCID: PMC6246637 DOI: 10.3389/fnhum.2018.00445] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2018] [Accepted: 10/17/2018] [Indexed: 11/21/2022] Open
Abstract
Several studies reported that healthy elderly with subjective memory complaints (SMC) evolve to Alzheimer’s disease (AD) more frequently than elderly without subjective memory decline. In the present study, we investigated event-related potentials (ERPs) associated to executive control processes taking place during the performance of a Simon task with two irrelevant dimensions (stimulus position and direction pointed by an arrow) in healthy elderly divided in low and high SMC (LSMC, HSMC) groups. P300 was studied as a correlate of working memory. Medial frontal negativity (MFN) was studied as a correlate of conflict monitoring. Whereas the LSMC group showed interference from the stimulus position, participants with HSMC showed interference from both irrelevant dimensions. P300 latency was longer and P300 amplitude was lower when the stimulus position was incompatible with the required response but differences between both groups were not observed. MFN was not modulated in the LSMC group; however, the HSMC group showed larger MFN when the stimulus position and/or the direction pointed by the arrow were incompatible with the required response. These results suggest that participants with HSMC deployed greater conflict monitoring activity to maintain the performance when the target stimulus contained conflictive spatial information.
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Affiliation(s)
- Jesús Cespón
- Basque Centre on Cognition, Brain and Language, Donostia, Spain
| | - Santiago Galdo-Álvarez
- Department of Clinical Psychology and Psychobiology, University of Santiago de Compostela, Santiago de Compostela, Spain
| | - Fernando Díaz
- Department of Clinical Psychology and Psychobiology, University of Santiago de Compostela, Santiago de Compostela, Spain
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O'Donoghue MC, Murphy SE, Zamboni G, Nobre AC, Mackay CE. APOE genotype and cognition in healthy individuals at risk of Alzheimer's disease: A review. Cortex 2018; 104:103-123. [DOI: 10.1016/j.cortex.2018.03.025] [Citation(s) in RCA: 85] [Impact Index Per Article: 12.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2017] [Revised: 02/02/2018] [Accepted: 03/19/2018] [Indexed: 01/22/2023]
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Fan LY, Lai YM, Chen TF, Hsu YC, Chen PY, Huang KZ, Cheng TW, Tseng WYI, Hua MS, Chen YF, Chiu MJ. Diminution of context association memory structure in subjects with subjective cognitive decline. Hum Brain Mapp 2018. [PMID: 29516634 DOI: 10.1002/hbm.24022] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
Abstract
Alzheimer's disease (AD) progresses insidiously from the preclinical stage to dementia. While people with subjective cognitive decline (SCD) have normal cognitive performance, some may be in the preclinical stage of AD. Neurofibrillary tangles appear first in the transentorhinal cortex, followed by the entorhinal cortex in the clinically silent stage of AD. We expected the earliest changes in subjects with SCD to occur in medial temporal subfields other than the hippocampal proper. These selective structural changes would affect specific memory subcomponents. We used the Family Picture subtest of the Wechsler Memory Scale-III, which was modified to separately compute character, activity, and location subscores for episodic memory subcomponents. We recruited 43 subjects with SCD, 44 subjects with amnesic mild cognitive impairment, and 34 normal controls. MRI was used to assess cortical thickness, subcortical gray matter volume, and fractional anisotropy. The results demonstrated that SCD subjects showed significant cortical atrophy in their bilateral parahippocampus and perirhinal and the left entorhinal cortices but not in their hippocampal regions. SCD subjects also exhibited significantly decreased mean fractional anisotropy in their bilateral uncinate fasciculi. The diminution of cortical thickness over the mesial temporal subfields corresponded to brain areas with early tangle deposition, and early degradation of the uncinate fasciculus was in accordance with the retrogenesis hypothesis. The parahippocampus and perirhinal cortex contribute mainly to context association memory while the entorhinal cortex, along with the uncinate fasciculus, contributes to content-related contextual memory. We proposed that context association and related memory structures are vulnerable in the SCD stage.
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Affiliation(s)
- Ling-Yun Fan
- Graduate Institute of Brain and Mind Sciences, College of Medicine, National Taiwan University, Taipei, Taiwan.,Department of Neurology, National Taiwan University Hospital, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Ya-Mei Lai
- Department of Neurology, National Taiwan University Hospital, College of Medicine, National Taiwan University, Taipei, Taiwan.,Center for Clinical Psychology, National Taiwan University Hospital, Taipei, Taiwan
| | - Ta-Fu Chen
- Department of Neurology, National Taiwan University Hospital, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Yung-Chin Hsu
- Graduate Institute of Medical Device and Imaging, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Pin-Yu Chen
- Graduate Institute of Medical Device and Imaging, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Kuo-Zhou Huang
- Department of Neurology, National Taiwan University Hospital, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Ting-Wen Cheng
- Graduate Institute of Brain and Mind Sciences, College of Medicine, National Taiwan University, Taipei, Taiwan.,Department of Neurology, National Taiwan University Hospital, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Wen-Yi Isaac Tseng
- Graduate Institute of Medical Device and Imaging, College of Medicine, National Taiwan University, Taipei, Taiwan.,Department of Medical Imaging, National Taiwan University Hospital, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Mau-Sun Hua
- Department of Psychology, Asia University, Taichung, Taiwan.,Department of Psychology, College of Science, National Taiwan University, Taipei, Taiwan
| | - Ya-Fang Chen
- Department of Medical Imaging, National Taiwan University Hospital, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Ming-Jang Chiu
- Graduate Institute of Brain and Mind Sciences, College of Medicine, National Taiwan University, Taipei, Taiwan.,Department of Neurology, National Taiwan University Hospital, College of Medicine, National Taiwan University, Taipei, Taiwan.,Department of Psychology, College of Science, National Taiwan University, Taipei, Taiwan.,Graduate Institute of Biomedical Engineering and Bioinformatics, National Taiwan University, Taipei, Taiwan
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30
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Zhang T, Liu S, Zhang Y, Guan Y, Wang X, Zhao L, Shi Z, Yue W, Zhang Y, Liu S, Ji Y. Apolipoprotein E e4 Allele Is Associated with Subjective Cognitive Decline: A Meta-Analysis. Neuroepidemiology 2017; 49:165-173. [PMID: 29169179 DOI: 10.1159/000482018] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2017] [Accepted: 10/07/2017] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND AND PURPOSE Subjective cognitive decline (SCD) is a condition associated with increased risk of Alzheimer's disease. This study performs a meta-analysis to estimate the prevalence of the Apolipoprotein E e4 (APOE e4) allele in SCD and the association of APOE e4 with SCD. METHODS The MEDLINE, EMBASE, and Cochrane Library databases were searched. Meta-analyses were conducted using STATA 12.0 software. When significant heterogeneity was present (I2 >50% and p < 0.05), we conducted stratified and meta-regression analyses to explore possible reasons for heterogeneity. RESULTS We selected a total of 28 studies that were conducted in Australia, the United States, northern Europe, middle Europe, southern Europe, and Asia. The sample size of the SCD group was 6,044. Thirteen studies included a healthy control group (total control cohort of 3,822), whereas the remaining 15 studies were single-arm studies of SCD groups. The APOE e4 allele was associated with SCD (OR 1.12 [1.00-1.25]; p = 0.04). The pooled estimate for APOE e4 carrier prevalence was 32% (95% CI 28-35). Due to the significant heterogeneity in prevalence estimates, we performed stratified and meta-regression analyses and found that age and northern European residency were significantly associated with heterogeneity. CONCLUSION The results of this meta-analysis indicate a weak association between APOE e4 and SCD. Age and northern European residency are the critical factors that determine heterogeneity in the APOE e4-associated prevalence of SCD.
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Affiliation(s)
- Ting Zhang
- Department of Neurology, Tianjin, China.,Tianjin Key Laboratory of Cerebrovascular and Neurodegenerative Diseases, Tianjin Huanhu Hospital, Tianjin, China
| | - Shuling Liu
- Department of Neurology, Tianjin, China.,Tianjin Key Laboratory of Cerebrovascular and Neurodegenerative Diseases, Tianjin Huanhu Hospital, Tianjin, China
| | - Yajing Zhang
- Department of Neurology, Tianjin, China.,Tianjin Key Laboratory of Cerebrovascular and Neurodegenerative Diseases, Tianjin Huanhu Hospital, Tianjin, China
| | - Yalin Guan
- Department of Neurology, Tianjin, China.,Tianjin Key Laboratory of Cerebrovascular and Neurodegenerative Diseases, Tianjin Huanhu Hospital, Tianjin, China
| | - Xiaodan Wang
- Department of Neurology, Tianjin, China.,Tianjin Key Laboratory of Cerebrovascular and Neurodegenerative Diseases, Tianjin Huanhu Hospital, Tianjin, China
| | - Lei Zhao
- Department of Neurology, Tianjin, China.,Tianjin Key Laboratory of Cerebrovascular and Neurodegenerative Diseases, Tianjin Huanhu Hospital, Tianjin, China
| | - Zhihong Shi
- Department of Neurology, Tianjin, China.,Tianjin Key Laboratory of Cerebrovascular and Neurodegenerative Diseases, Tianjin Huanhu Hospital, Tianjin, China
| | - Wei Yue
- Department of Neurology, Tianjin, China.,Tianjin Key Laboratory of Cerebrovascular and Neurodegenerative Diseases, Tianjin Huanhu Hospital, Tianjin, China
| | - Ying Zhang
- Department of Neurology, Tianjin, China.,Tianjin Key Laboratory of Cerebrovascular and Neurodegenerative Diseases, Tianjin Huanhu Hospital, Tianjin, China
| | - Shuai Liu
- Department of Neurology, Tianjin, China.,Tianjin Key Laboratory of Cerebrovascular and Neurodegenerative Diseases, Tianjin Huanhu Hospital, Tianjin, China
| | - Yong Ji
- Department of Neurology, Tianjin, China.,Tianjin Key Laboratory of Cerebrovascular and Neurodegenerative Diseases, Tianjin Huanhu Hospital, Tianjin, China
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Rabin LA, Smart CM, Amariglio RE. Subjective Cognitive Decline in Preclinical Alzheimer's Disease. Annu Rev Clin Psychol 2017; 13:369-396. [DOI: 10.1146/annurev-clinpsy-032816-045136] [Citation(s) in RCA: 248] [Impact Index Per Article: 31.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Affiliation(s)
- Laura A. Rabin
- Department of Psychology, Brooklyn College and The Graduate Center of the City University of New York, Brooklyn, New York 11210
- Department of Neurology, Albert Einstein College of Medicine, Bronx, New York 10461
| | - Colette M. Smart
- Department of Psychology, University of Victoria, Victoria, British Columbia V8W 2Y2, Canada
- Institute on Aging and Lifelong Health, University of Victoria, Victoria, British Columbia V8P 2Y2, Canada
| | - Rebecca E. Amariglio
- Department of Neurology and Center for Alzheimer Research and Treatment, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts 02115
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts 02114
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Ferreira D, Hansson O, Barroso J, Molina Y, Machado A, Hernández-Cabrera JA, Muehlboeck JS, Stomrud E, Nägga K, Lindberg O, Ames D, Kalpouzos G, Fratiglioni L, Bäckman L, Graff C, Mecocci P, Vellas B, Tsolaki M, Kłoszewska I, Soininen H, Lovestone S, Ahlström H, Lind L, Larsson EM, Wahlund LO, Simmons A, Westman E. The interactive effect of demographic and clinical factors on hippocampal volume: A multicohort study on 1958 cognitively normal individuals. Hippocampus 2017; 27:653-667. [DOI: 10.1002/hipo.22721] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2016] [Revised: 02/09/2017] [Accepted: 02/15/2017] [Indexed: 11/08/2022]
Affiliation(s)
- Daniel Ferreira
- Division of Clinical Geriatrics; Centre for Alzheimer Research, Department of Neurobiology Care Sciences and Society, Karolinska Institutet; Stockholm 14157 Sweden
| | - Oskar Hansson
- Department of Clinical Sciences; Clinical Memory Research Unit, Lund University; Malmö 20502 Sweden
| | - José Barroso
- Department of Clinical Psychology; Psychobiology and Methodology, University of La Laguna; La Laguna 38071 Spain
| | - Yaiza Molina
- Department of Clinical Psychology; Psychobiology and Methodology, University of La Laguna; La Laguna 38071 Spain
- Faculty of Health Sciences; University Fernando Pessoa Canarias, Las Palmas de Gran Canaria; Spain
| | - Alejandra Machado
- Department of Clinical Psychology; Psychobiology and Methodology, University of La Laguna; La Laguna 38071 Spain
| | | | - J-Sebastian Muehlboeck
- Division of Clinical Geriatrics; Centre for Alzheimer Research, Department of Neurobiology Care Sciences and Society, Karolinska Institutet; Stockholm 14157 Sweden
| | - Erik Stomrud
- Department of Clinical Sciences; Clinical Memory Research Unit, Lund University; Malmö 20502 Sweden
| | - Katarina Nägga
- Department of Clinical Sciences; Clinical Memory Research Unit, Lund University; Malmö 20502 Sweden
| | - Olof Lindberg
- Division of Clinical Geriatrics; Centre for Alzheimer Research, Department of Neurobiology Care Sciences and Society, Karolinska Institutet; Stockholm 14157 Sweden
- Department of Clinical Sciences; Clinical Memory Research Unit, Lund University; Malmö 20502 Sweden
| | - David Ames
- National Ageing Research Institute; Parkville; Victoria 3050 Australia
- University of Melbourne Academic Unit for Psychiatry of Old Age; St George's Hospital, Kew; Victoria 3101 Australia
| | - Grégoria Kalpouzos
- Aging Research Center (ARC); Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University; 113 30 Stockholm Sweden
| | - Laura Fratiglioni
- Aging Research Center (ARC); Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University; 113 30 Stockholm Sweden
- Stockholm Gerontology Research Centre; Stockholm 11330 Sweden
| | - Lars Bäckman
- Aging Research Center (ARC); Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University; 113 30 Stockholm Sweden
- Stockholm Gerontology Research Centre; Stockholm 11330 Sweden
| | - Caroline Graff
- Division of Neurogeriatrics; Department of Neurobiology Care Sciences and Society, Centre for Alzheimer Research, Karolinska Institutet; Stockholm 14157 Sweden
- Department of Geriatric Medicine; Karolinska University Hospital Huddinge; Stockholm 14186 Sweden
| | - Patrizia Mecocci
- Institute of Gerontology and Geriatrics; University of Perugia; Perugia 06100 Italy
| | - Bruno Vellas
- INSERM U 558; University of Toulouse; Toulouse 31024 France
| | - Magda Tsolaki
- 3rd Department of Neurology; Aristoteleion Panepistimeion Thessalonikis; Thessaloniki 54124 Greece
| | | | - Hilkka Soininen
- University of Eastern Finland and Kuopio University Hospital; Kuopio 70211 Finland
| | - Simon Lovestone
- Department of Psychiatry; Warneford Hospital University of Oxford; Oxford OX37JX United Kingdom
| | - Håkan Ahlström
- Department of Surgical Sciences; Radiology, Uppsala University; Uppsala 75185 Sweden
| | - Lars Lind
- Department of Medical Sciences; Uppsala University; Uppsala 75185 Sweden
| | - Elna-Marie Larsson
- Department of Surgical Sciences; Radiology, Uppsala University; Uppsala 75185 Sweden
| | - Lars-Olof Wahlund
- Division of Clinical Geriatrics; Centre for Alzheimer Research, Department of Neurobiology Care Sciences and Society, Karolinska Institutet; Stockholm 14157 Sweden
| | - Andrew Simmons
- Division of Clinical Geriatrics; Centre for Alzheimer Research, Department of Neurobiology Care Sciences and Society, Karolinska Institutet; Stockholm 14157 Sweden
- NIHR Biomedical Research Centre for Mental Health; London SE58AF United Kingdom
- NIHR Biomedical Research Unit for Dementia; London SE58AF United Kingdom
- Institute of Psychiatry; King's College London; London SE58AF United Kingdom
| | - Eric Westman
- Division of Clinical Geriatrics; Centre for Alzheimer Research, Department of Neurobiology Care Sciences and Society, Karolinska Institutet; Stockholm 14157 Sweden
- Institute of Psychiatry; King's College London; London SE58AF United Kingdom
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Ferreira D, Falahati F, Linden C, Buckley RF, Ellis KA, Savage G, Villemagne VL, Rowe CC, Ames D, Simmons A, Westman E. A 'Disease Severity Index' to identify individuals with Subjective Memory Decline who will progress to mild cognitive impairment or dementia. Sci Rep 2017; 7:44368. [PMID: 28287184 PMCID: PMC5347012 DOI: 10.1038/srep44368] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2016] [Accepted: 02/07/2017] [Indexed: 01/19/2023] Open
Abstract
Subjective memory decline (SMD) is a heterogeneous condition. While SMD might be the earliest sign of Alzheimer’s disease (AD), it also occurs in aging and various neurological, medical, and psychiatric conditions. Identifying those with higher risk to develop dementia is thus a major challenge. We tested a novel disease severity index generated by multivariate data analysis with numerous structural MRI measures as input. The index was used to identify SMD individuals with high risk of progression to mild cognitive impairment (MCI) or AD. A total of 69 healthy controls, 86 SMD, 45 MCI, and 38 AD patients were included. Subjects were followed up for 7.5 years. Clinical, cognitive, PET amyloid imaging and APOE ε4 data were used as outcome variables. The results showed that SMD evidenced cognitive performance intermediate between healthy controls and MCI. The disease severity index identified eleven (13%) SMD individuals with an AD-like pattern of brain atrophy. These individuals showed lower cognitive performance, increased CDR-SOB, higher amyloid burden and worse clinical progression (6.2 times higher likelihood to develop MCI, dementia or die than healthy controls). The current disease severity index may have relevance for clinical practice, as well as for selecting appropriate individuals for clinical trials.
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Affiliation(s)
- Daniel Ferreira
- Division of Clinical Geriatrics, Centre for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, 141 86 Stockholm, Sweden
| | - Farshad Falahati
- Division of Clinical Geriatrics, Centre for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, 141 86 Stockholm, Sweden
| | - Cecilia Linden
- Division of Clinical Geriatrics, Centre for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, 141 86 Stockholm, Sweden
| | - Rachel F Buckley
- Melbourne School of Psychological Sciences, University of Melbourne, Melbourne 3010, Australia.,The Florey Institute of Neuroscience and Mental Health, University of Melbourne, Melbourne 3084, Australia.,Department of Neurology, Massachusetts General Hospital/Harvard Medical School, 02129 Boston, MA, USA
| | - Kathryn A Ellis
- The Academic Unit for Psychiatry of Old Age, University of Melbourne, Melbourne 3052, Australia
| | - Greg Savage
- ARC Centre of Excellence in Cognition and its Disorders, Department of Psychology, Macquarie University, Sydney 2109, Australia
| | - Victor L Villemagne
- The Florey Institute of Neuroscience and Mental Health, University of Melbourne, Melbourne 3084, Australia.,Department of Nuclear Medicine and Centre for PET, Austin Health, Heidelberg 3084, Australia.,Department of Medicine, Austin Health, University of Melbourne, Melbourne 3084, Australia
| | - Christopher C Rowe
- Department of Nuclear Medicine and Centre for PET, Austin Health, Heidelberg 3084, Australia.,Department of Medicine, Austin Health, University of Melbourne, Melbourne 3084, Australia
| | - David Ames
- The Florey Institute of Neuroscience and Mental Health, University of Melbourne, Melbourne 3084, Australia
| | - Andrew Simmons
- Division of Clinical Geriatrics, Centre for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, 141 86 Stockholm, Sweden.,NIHR Biomedical Research Centre for Mental Health, London SE5 8AF, UK.,NIHR Biomedical Research Unit for Dementia, London SE5 8AF, UK.,Department of Neuroimaging, Centre for Neuroimaging Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London SE5 8AF, UK
| | - Eric Westman
- Division of Clinical Geriatrics, Centre for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, 141 86 Stockholm, Sweden.,Department of Neuroimaging, Centre for Neuroimaging Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London SE5 8AF, UK
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Classifying anatomical subtypes of subjective memory impairment. Neurobiol Aging 2016; 48:53-60. [DOI: 10.1016/j.neurobiolaging.2016.08.010] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2016] [Revised: 07/18/2016] [Accepted: 08/10/2016] [Indexed: 11/22/2022]
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35
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Lista S, Molinuevo JL, Cavedo E, Rami L, Amouyel P, Teipel SJ, Garaci F, Toschi N, Habert MO, Blennow K, Zetterberg H, O'Bryant SE, Johnson L, Galluzzi S, Bokde ALW, Broich K, Herholz K, Bakardjian H, Dubois B, Jessen F, Carrillo MC, Aisen PS, Hampel H. Evolving Evidence for the Value of Neuroimaging Methods and Biological Markers in Subjects Categorized with Subjective Cognitive Decline. J Alzheimers Dis 2016; 48 Suppl 1:S171-91. [PMID: 26402088 DOI: 10.3233/jad-150202] [Citation(s) in RCA: 33] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/25/2023]
Abstract
There is evolving evidence that individuals categorized with subjective cognitive decline (SCD) are potentially at higher risk for developing objective and progressive cognitive impairment compared to cognitively healthy individuals without apparent subjective complaints. Interestingly, SCD, during advancing preclinical Alzheimer's disease (AD), may denote very early, subtle cognitive decline that cannot be identified using established standardized tests of cognitive performance. The substantial heterogeneity of existing SCD-related research data has led the Subjective Cognitive Decline Initiative (SCD-I) to accomplish an international consensus on the definition of a conceptual research framework on SCD in preclinical AD. In the area of biological markers, the cerebrospinal fluid signature of AD has been reported to be more prevalent in subjects with SCD compared to healthy controls; moreover, there is a pronounced atrophy, as demonstrated by magnetic resonance imaging, and an increased hypometabolism, as revealed by positron emission tomography, in characteristic brain regions affected by AD. In addition, SCD individuals carrying an apolipoprotein ɛ4 allele are more likely to display AD-phenotypic alterations. The urgent requirement to detect and diagnose AD as early as possible has led to the critical examination of the diagnostic power of biological markers, neurophysiology, and neuroimaging methods for AD-related risk and clinical progression in individuals defined with SCD. Observational studies on the predictive value of SCD for developing AD may potentially be of practical value, and an evidence-based, validated, qualified, and fully operationalized concept may inform clinical diagnostic practice and guide earlier designs in future therapy trials.
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Affiliation(s)
- Simone Lista
- AXA Research Fund & UPMC Chair, Paris, France.,Sorbonne Universités, Université Pierre et Marie Curie (UPMC), Paris 06, Institut de la Mémoire et de la Maladie d'Alzheimer (IM2A) & Institut du Cerveau et de la Moelle épinière (ICM), UMR S 1127, Département de Neurologie, Hôpital de la Pitié-Salpêtrière, Paris, France
| | - Jose L Molinuevo
- Alzheimers Disease and Other Cognitive Disorders Unit, Neurology Service, Hospital Clinic, Barcelona, Spain.,Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | - Enrica Cavedo
- Sorbonne Universités, Université Pierre et Marie Curie (UPMC), Paris 06, Institut de la Mémoire et de la Maladie d'Alzheimer (IM2A) & Institut du Cerveau et de la Moelle épinière (ICM), UMR S 1127, Département de Neurologie, Hôpital de la Pitié-Salpêtrière, Paris, France.,CATI Multicenter Neuroimaging Platform, France.,Laboratory of Epidemiology, Neuroimaging and Telemedicine, IRCCS Istituto Centro "San Giovanni diDio-Fatebenefratelli", Brescia, Italy
| | - Lorena Rami
- Alzheimers Disease and Other Cognitive Disorders Unit, Neurology Service, Hospital Clinic, Barcelona, Spain.,Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | - Philippe Amouyel
- Inserm, U1157, Lille, France.,Université de Lille, Lille, France.,Institut Pasteur de Lille, Lille, France.,Centre Hospitalier Régional Universitaire de Lille, Lille, France
| | - Stefan J Teipel
- Department of Psychosomatic Medicine, University of Rostock, Rostock, Germany & German Center forNeurodegenerative Diseases (DZNE) Rostock/Greifswald, Rostock, Germany
| | - Francesco Garaci
- Department of Diagnostic Imaging, Molecular Imaging, Interventional Radiology and Radiotherapy, University Hospital of "Tor Vergata", Rome, Italy.,Department of Biomedicine and Prevention University of Rome "Tor Vergata", Rome, Italy
| | - Nicola Toschi
- Department of Biomedicine and Prevention University of Rome "Tor Vergata", Rome, Italy.,Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Boston, MA, USA.,Harvard Medical School, Boston, MA, USA
| | - Marie-Odile Habert
- Sorbonne Universités, UPMC Univ Paris 06, Inserm U 1146, CNRS UMR 7371, Laboratoire d'Imagerie Biomédicale, Paris, France.,AP-HP, Pitié-Salpêtrière Hospital, Nuclear Medicine Department, Paris, France
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden.,The Torsten Söderberg Professorship in Medicine at the Royal Swedish Academy of Sciences
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden.,Department of Molecular Neuroscience, UCL Institute of Neurology, London, UK
| | - Sid E O'Bryant
- Institute for Aging and Alzheimer's Disease Research & Department of Internal Medicine, University of North Texas Health Science Center, Fort Worth, TX, USA
| | - Leigh Johnson
- Institute for Aging and Alzheimer's Disease Research & Department of Internal Medicine, University of North Texas Health Science Center, Fort Worth, TX, USA
| | - Samantha Galluzzi
- Laboratory of Epidemiology, Neuroimaging and Telemedicine, IRCCS Istituto Centro "San Giovanni diDio-Fatebenefratelli", Brescia, Italy
| | - Arun L W Bokde
- Cognitive Systems Group, Discipline of Psychiatry, School of Medicine, Trinity College Dublin, Dublin, Ireland.,Trinity College Institute of Neuroscience, Trinity College Dublin, Dublin, Ireland
| | - Karl Broich
- President, Federal Institute of Drugs and Medical Devices (BfArM), Bonn, Germany
| | - Karl Herholz
- Institute of Brain, Behaviours and Mental Health, University of Manchester, Manchester, UK
| | - Hovagim Bakardjian
- IM2A - Institute of Memory and Alzheimer's Disease, IHU-A-ICM - Paris Institute of Translational Neurosciences, Pitié-Salpêtrière University Hospital, Paris, France
| | - Bruno Dubois
- Sorbonne Universités, Université Pierre et Marie Curie (UPMC), Paris 06, Institut de la Mémoire et de la Maladie d'Alzheimer (IM2A) & Institut du Cerveau et de la Moelle épinière (ICM), UMR S 1127, Département de Neurologie, Hôpital de la Pitié-Salpêtrière, Paris, France
| | - Frank Jessen
- Department of Psychiatry, University of Cologne, Cologne, Germany.,German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Maria C Carrillo
- Medical & Scientific Relations, Alzheimer's Association, Chicago, IL, USA
| | - Paul S Aisen
- Department of Neurosciences, University of California, San Diego, San Diego, CA, USA∥
| | - Harald Hampel
- AXA Research Fund & UPMC Chair, Paris, France.,Sorbonne Universités, Université Pierre et Marie Curie (UPMC), Paris 06, Institut de la Mémoire et de la Maladie d'Alzheimer (IM2A) & Institut du Cerveau et de la Moelle épinière (ICM), UMR S 1127, Département de Neurologie, Hôpital de la Pitié-Salpêtrière, Paris, France
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Risacher SL, Kim S, Nho K, Foroud T, Shen L, Petersen RC, Jack CR, Beckett LA, Aisen PS, Koeppe RA, Jagust WJ, Shaw LM, Trojanowski JQ, Weiner MW, Saykin AJ. APOE effect on Alzheimer's disease biomarkers in older adults with significant memory concern. Alzheimers Dement 2015; 11:1417-1429. [PMID: 25960448 PMCID: PMC4637003 DOI: 10.1016/j.jalz.2015.03.003] [Citation(s) in RCA: 147] [Impact Index Per Article: 14.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2014] [Revised: 03/01/2015] [Accepted: 03/21/2015] [Indexed: 11/26/2022]
Abstract
INTRODUCTION This study assessed apolipoprotein E (APOE) ε4 carrier status effects on Alzheimer's disease imaging and cerebrospinal fluid (CSF) biomarkers in cognitively normal older adults with significant memory concerns (SMC). METHODS Cognitively normal, SMC, and early mild cognitive impairment participants from Alzheimer's Disease Neuroimaging Initiative were divided by APOE ε4 carrier status. Diagnostic and APOE effects were evaluated with emphasis on SMC. Additional analyses in SMC evaluated the effect of the interaction between APOE and [(18)F]Florbetapir amyloid positivity on CSF biomarkers. RESULTS SMC ε4+ showed greater amyloid deposition than SMC ε4-, but no hypometabolism or medial temporal lobe (MTL) atrophy. SMC ε4+ showed lower amyloid beta 1-42 and higher tau/p-tau than ε4-, which was most abnormal in APOE ε4+ and cerebral amyloid positive SMC. DISCUSSION SMC APOE ε4+ show abnormal changes in amyloid and tau biomarkers, but no hypometabolism or MTL neurodegeneration, reflecting the at-risk nature of the SMC group and the importance of APOE in mediating this risk.
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Affiliation(s)
- Shannon L Risacher
- Department of Radiology and Imaging Sciences, Center for Neuroimaging, Indiana University School of Medicine, Indianapolis, IN, USA; Indiana Alzheimer Disease Center, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Sungeun Kim
- Department of Radiology and Imaging Sciences, Center for Neuroimaging, Indiana University School of Medicine, Indianapolis, IN, USA; Indiana Alzheimer Disease Center, Indiana University School of Medicine, Indianapolis, IN, USA; Center for Computational Biology and Bioinformatics, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Kwangsik Nho
- Department of Radiology and Imaging Sciences, Center for Neuroimaging, Indiana University School of Medicine, Indianapolis, IN, USA; Indiana Alzheimer Disease Center, Indiana University School of Medicine, Indianapolis, IN, USA; Center for Computational Biology and Bioinformatics, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Tatiana Foroud
- Indiana Alzheimer Disease Center, Indiana University School of Medicine, Indianapolis, IN, USA; Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Li Shen
- Department of Radiology and Imaging Sciences, Center for Neuroimaging, Indiana University School of Medicine, Indianapolis, IN, USA; Indiana Alzheimer Disease Center, Indiana University School of Medicine, Indianapolis, IN, USA; Center for Computational Biology and Bioinformatics, Indiana University School of Medicine, Indianapolis, IN, USA
| | | | | | - Laurel A Beckett
- Department of Public Health Sciences, Division of Biostatistics, University of California-Davis, Davis, CA, USA
| | - Paul S Aisen
- Department of Neurology, University of California-San Diego, San Diego, CA, USA
| | - Robert A Koeppe
- Department of Radiology, University of Michigan, Ann Arbor, MI, USA
| | - William J Jagust
- Department of Neurology, University of California-Berkeley, Berkeley, CA, USA
| | - Leslie M Shaw
- Department of Pathology and Laboratory Medicine, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
| | - John Q Trojanowski
- Department of Pathology and Laboratory Medicine, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
| | - Michael W Weiner
- Departments of Radiology, Medicine and Psychiatry, University of California-San Francisco, San Francisco, CA, USA; Department of Veterans Affairs Medical Center, San Francisco, CA, USA
| | - Andrew J Saykin
- Department of Radiology and Imaging Sciences, Center for Neuroimaging, Indiana University School of Medicine, Indianapolis, IN, USA; Indiana Alzheimer Disease Center, Indiana University School of Medicine, Indianapolis, IN, USA; Center for Computational Biology and Bioinformatics, Indiana University School of Medicine, Indianapolis, IN, USA; Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA.
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Sun Y, Yang FC, Lin CP, Han Y. Biochemical and neuroimaging studies in subjective cognitive decline: progress and perspectives. CNS Neurosci Ther 2015; 21:768-75. [PMID: 25864576 DOI: 10.1111/cns.12395] [Citation(s) in RCA: 50] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2015] [Revised: 03/03/2015] [Accepted: 03/03/2015] [Indexed: 12/19/2022] Open
Abstract
Neurodegeneration due to Alzheimer's disease (AD) can progress over decades before dementia becomes apparent. Indeed, patients with mild cognitive impairment (MCI) already demonstrate significant lesion loads. In most cases, MCI is preceded by subjective cognitive decline (SCD), which is applied to individuals who have self-reported memory-related complaints and has been associated with a higher risk of future cognitive decline and conversion to dementia. Based on the schema of a well-received model of biomarker dynamics in AD pathogenesis, it has been postulated that SCD symptoms may result from compensatory changes in response to β-amyloid accumulation and neurodegeneration. Although SCD is considered a prodromal stage of MCI, it is also a common manifestation in old age, independent of AD, and the predictive value of SCD for AD pathology remains controversial. Here, we provide a review focused on the contributions of cross-sectional and longitudinal analogical studies of biomarkers and neuroimaging evidence in disentangling under what conditions SCD may be attributable to AD pathology. In conclusion, there is promising evidence indicating that clinicians should be able to differentiate pre-AD SCD based on the presence of pathophysiological biomarkers in cerebrospinal fluid (CSF) and neuroimaging. However, this neuroimaging approach is still at an immature stage without an established rubric of standards. A substantial amount of work remains in terms of replicating recent findings and validating the clinical utility of identifying SCD.
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Affiliation(s)
- Yu Sun
- Department of Neurology, Xuan Wu Hospital of Capital Medical University, Beijing, China
| | - Fu-Chi Yang
- Departments of Neurology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan
| | - Ching-Po Lin
- Brain Connectivity Lab, Institute of Neuroscience, National Yang-Ming University, Taipei, Taiwan
| | - Ying Han
- Department of Neurology, Xuan Wu Hospital of Capital Medical University, Beijing, China.,Center of Alzheimer's Disease, Beijing Institute for Brain Disorders, Beijing, China
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The relation of SMI and the VSEP in a risk sample for neurodegenerative disorders. J Neural Transm (Vienna) 2014; 122:1167-74. [DOI: 10.1007/s00702-014-1351-7] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2014] [Accepted: 12/06/2014] [Indexed: 10/24/2022]
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Samieri C, Proust-Lima C, M Glymour M, Okereke OI, Amariglio RE, Sperling RA, Rentz DM, Grodstein F. Subjective cognitive concerns, episodic memory, and the APOE ε4 allele. Alzheimers Dement 2014; 10:752-759.e1. [PMID: 25256133 PMCID: PMC4253880 DOI: 10.1016/j.jalz.2014.06.012] [Citation(s) in RCA: 56] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2013] [Revised: 05/02/2014] [Accepted: 06/10/2014] [Indexed: 11/17/2022]
Abstract
BACKGROUND Subjective cognitive concerns may represent a simple method to assess likelihood of memory decline among apolipoprotein E (APOE) ε4 carriers. METHODS We examined the relationship of self-reported subjective cognitive concerns, using seven specific cognitive concerns, with memory and memory decline over 6 years among APOE ε4 carriers and non-carriers from the Nurses' Health Study. RESULTS In both groups, increasing subjective cognitive concern score predicted worse baseline memory and faster rates of subsequent memory decline, after adjustment for age, education and depression. The relation with baseline memory appeared statistically stronger in APOE ε4 carriers (P-interaction = 0.03). For memory decline, mean differences in slopes of episodic memory (95% CI) for 4 to 7 versus no concern = -0.05 (-0.10, 0.01) standard units in APOE ε4 carriers, and -0.04 (-0.08, -0.01) standard units in non-carriers. CONCLUSIONS APOE ε4 carriers with self-assessed cognitive concerns appear to have worse memory, and possibly accelerated memory decline.
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Affiliation(s)
- Cécilia Samieri
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA; INSERM, Centre INSERM U897-Epidémiologie-Biostatistiques, Bordeaux, France; Univ. Bordeaux, Centre INSERM U897-Epidémiologie-Biostatistiques, Bordeaux, France.
| | - Cécile Proust-Lima
- INSERM, Centre INSERM U897-Epidémiologie-Biostatistiques, Bordeaux, France; Univ. Bordeaux, Centre INSERM U897-Epidémiologie-Biostatistiques, Bordeaux, France
| | - Maria M Glymour
- Department of Social & Behavioral Sciences, Harvard School of Public Health, Boston, MA, USA; Department of Epidemiology & Biostatistics, University of California San Francisco, San Francisco, CA, USA
| | - Olivia I Okereke
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA; Department of Epidemiology, Harvard School of Public Health, Boston, MA, USA; Department of Psychiatry, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA; Department of Psychiatry, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, USA
| | - Rebecca E Amariglio
- Department of Neurology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA; Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
| | - Reisa A Sperling
- Department of Neurology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA; Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
| | - Dorene M Rentz
- Department of Neurology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA; Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
| | - Francine Grodstein
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA; Department of Epidemiology, Harvard School of Public Health, Boston, MA, USA
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Kryscio RJ, Abner EL, Cooper GE, Fardo DW, Jicha GA, Nelson PT, Smith CD, Van Eldik LJ, Wan L, Schmitt FA. Self-reported memory complaints: implications from a longitudinal cohort with autopsies. Neurology 2014; 83:1359-65. [PMID: 25253756 PMCID: PMC4189103 DOI: 10.1212/wnl.0000000000000856] [Citation(s) in RCA: 144] [Impact Index Per Article: 13.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2013] [Accepted: 07/12/2014] [Indexed: 11/15/2022] Open
Abstract
OBJECTIVE We assessed salience of subjective memory complaints (SMCs) by older individuals as a predictor of subsequent cognitive impairment while accounting for risk factors and eventual neuropathologies. METHODS Subjects (n = 531) enrolled while cognitively intact at the University of Kentucky were asked annually if they perceived changes in memory since their last visit. A multistate model estimated when transition to impairment occurred while adjusting for intervening death. Risk factors affecting the timing and probability of an impairment were identified. The association between SMCs and Alzheimer-type neuropathology was assessed from autopsies (n = 243). RESULTS SMCs were reported by more than half (55.7%) of the cohort, and were associated with increased risk of impairment (unadjusted odds ratio = 2.8, p < 0.0001). Mild cognitive impairment (dementia) occurred 9.2 (12.1) years after SMC. Multistate modeling showed that SMC reporters with an APOE ε4 allele had double the odds of impairment (adjusted odds ratio = 2.2, p = 0.036). SMC smokers took less time to transition to mild cognitive impairment, while SMC hormone-replaced women took longer to transition directly to dementia. Among participants (n = 176) who died without a diagnosed clinical impairment, SMCs were associated with elevated neuritic amyloid plaques in the neocortex and medial temporal lobe. CONCLUSION SMC reporters are at a higher risk of future cognitive impairment and have higher levels of Alzheimer-type brain pathology even when impairment does not occur. As potential harbingers of future cognitive decline, physicians should query and monitor SMCs from their older patients.
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Affiliation(s)
- Richard J Kryscio
- From the Sanders-Brown Center on Aging (R.J.K., E.L.A., G.E.C., G.A.J., P.T.N., C.D.S., L.J.V.E., L.W., F.A.S.), Alzheimer's Disease Center (R.J.K., E.L.A., G.E.C., D.W.F., G.A.J., P.T.N., C.D.S., L.J.V.E., F.A.S.), Departments of Biostatistics (R.J.K., D.W.F.), Statistics (R.J.K., L.W.), Epidemiology (E.L.A.), and Pathology (P.T.N.), Department of Anatomy and Neurobiology, College of Medicine (L.J.V.E.), and Department of Neurology, College of Medicine (G.A.J., C.D.S., F.A.S.), University of Kentucky, Lexington; and Baptist Neurology Center (G.E.C.), Lexington, KY.
| | - Erin L Abner
- From the Sanders-Brown Center on Aging (R.J.K., E.L.A., G.E.C., G.A.J., P.T.N., C.D.S., L.J.V.E., L.W., F.A.S.), Alzheimer's Disease Center (R.J.K., E.L.A., G.E.C., D.W.F., G.A.J., P.T.N., C.D.S., L.J.V.E., F.A.S.), Departments of Biostatistics (R.J.K., D.W.F.), Statistics (R.J.K., L.W.), Epidemiology (E.L.A.), and Pathology (P.T.N.), Department of Anatomy and Neurobiology, College of Medicine (L.J.V.E.), and Department of Neurology, College of Medicine (G.A.J., C.D.S., F.A.S.), University of Kentucky, Lexington; and Baptist Neurology Center (G.E.C.), Lexington, KY
| | - Gregory E Cooper
- From the Sanders-Brown Center on Aging (R.J.K., E.L.A., G.E.C., G.A.J., P.T.N., C.D.S., L.J.V.E., L.W., F.A.S.), Alzheimer's Disease Center (R.J.K., E.L.A., G.E.C., D.W.F., G.A.J., P.T.N., C.D.S., L.J.V.E., F.A.S.), Departments of Biostatistics (R.J.K., D.W.F.), Statistics (R.J.K., L.W.), Epidemiology (E.L.A.), and Pathology (P.T.N.), Department of Anatomy and Neurobiology, College of Medicine (L.J.V.E.), and Department of Neurology, College of Medicine (G.A.J., C.D.S., F.A.S.), University of Kentucky, Lexington; and Baptist Neurology Center (G.E.C.), Lexington, KY
| | - David W Fardo
- From the Sanders-Brown Center on Aging (R.J.K., E.L.A., G.E.C., G.A.J., P.T.N., C.D.S., L.J.V.E., L.W., F.A.S.), Alzheimer's Disease Center (R.J.K., E.L.A., G.E.C., D.W.F., G.A.J., P.T.N., C.D.S., L.J.V.E., F.A.S.), Departments of Biostatistics (R.J.K., D.W.F.), Statistics (R.J.K., L.W.), Epidemiology (E.L.A.), and Pathology (P.T.N.), Department of Anatomy and Neurobiology, College of Medicine (L.J.V.E.), and Department of Neurology, College of Medicine (G.A.J., C.D.S., F.A.S.), University of Kentucky, Lexington; and Baptist Neurology Center (G.E.C.), Lexington, KY
| | - Gregory A Jicha
- From the Sanders-Brown Center on Aging (R.J.K., E.L.A., G.E.C., G.A.J., P.T.N., C.D.S., L.J.V.E., L.W., F.A.S.), Alzheimer's Disease Center (R.J.K., E.L.A., G.E.C., D.W.F., G.A.J., P.T.N., C.D.S., L.J.V.E., F.A.S.), Departments of Biostatistics (R.J.K., D.W.F.), Statistics (R.J.K., L.W.), Epidemiology (E.L.A.), and Pathology (P.T.N.), Department of Anatomy and Neurobiology, College of Medicine (L.J.V.E.), and Department of Neurology, College of Medicine (G.A.J., C.D.S., F.A.S.), University of Kentucky, Lexington; and Baptist Neurology Center (G.E.C.), Lexington, KY
| | - Peter T Nelson
- From the Sanders-Brown Center on Aging (R.J.K., E.L.A., G.E.C., G.A.J., P.T.N., C.D.S., L.J.V.E., L.W., F.A.S.), Alzheimer's Disease Center (R.J.K., E.L.A., G.E.C., D.W.F., G.A.J., P.T.N., C.D.S., L.J.V.E., F.A.S.), Departments of Biostatistics (R.J.K., D.W.F.), Statistics (R.J.K., L.W.), Epidemiology (E.L.A.), and Pathology (P.T.N.), Department of Anatomy and Neurobiology, College of Medicine (L.J.V.E.), and Department of Neurology, College of Medicine (G.A.J., C.D.S., F.A.S.), University of Kentucky, Lexington; and Baptist Neurology Center (G.E.C.), Lexington, KY
| | - Charles D Smith
- From the Sanders-Brown Center on Aging (R.J.K., E.L.A., G.E.C., G.A.J., P.T.N., C.D.S., L.J.V.E., L.W., F.A.S.), Alzheimer's Disease Center (R.J.K., E.L.A., G.E.C., D.W.F., G.A.J., P.T.N., C.D.S., L.J.V.E., F.A.S.), Departments of Biostatistics (R.J.K., D.W.F.), Statistics (R.J.K., L.W.), Epidemiology (E.L.A.), and Pathology (P.T.N.), Department of Anatomy and Neurobiology, College of Medicine (L.J.V.E.), and Department of Neurology, College of Medicine (G.A.J., C.D.S., F.A.S.), University of Kentucky, Lexington; and Baptist Neurology Center (G.E.C.), Lexington, KY
| | - Linda J Van Eldik
- From the Sanders-Brown Center on Aging (R.J.K., E.L.A., G.E.C., G.A.J., P.T.N., C.D.S., L.J.V.E., L.W., F.A.S.), Alzheimer's Disease Center (R.J.K., E.L.A., G.E.C., D.W.F., G.A.J., P.T.N., C.D.S., L.J.V.E., F.A.S.), Departments of Biostatistics (R.J.K., D.W.F.), Statistics (R.J.K., L.W.), Epidemiology (E.L.A.), and Pathology (P.T.N.), Department of Anatomy and Neurobiology, College of Medicine (L.J.V.E.), and Department of Neurology, College of Medicine (G.A.J., C.D.S., F.A.S.), University of Kentucky, Lexington; and Baptist Neurology Center (G.E.C.), Lexington, KY
| | - Lijie Wan
- From the Sanders-Brown Center on Aging (R.J.K., E.L.A., G.E.C., G.A.J., P.T.N., C.D.S., L.J.V.E., L.W., F.A.S.), Alzheimer's Disease Center (R.J.K., E.L.A., G.E.C., D.W.F., G.A.J., P.T.N., C.D.S., L.J.V.E., F.A.S.), Departments of Biostatistics (R.J.K., D.W.F.), Statistics (R.J.K., L.W.), Epidemiology (E.L.A.), and Pathology (P.T.N.), Department of Anatomy and Neurobiology, College of Medicine (L.J.V.E.), and Department of Neurology, College of Medicine (G.A.J., C.D.S., F.A.S.), University of Kentucky, Lexington; and Baptist Neurology Center (G.E.C.), Lexington, KY
| | - Frederick A Schmitt
- From the Sanders-Brown Center on Aging (R.J.K., E.L.A., G.E.C., G.A.J., P.T.N., C.D.S., L.J.V.E., L.W., F.A.S.), Alzheimer's Disease Center (R.J.K., E.L.A., G.E.C., D.W.F., G.A.J., P.T.N., C.D.S., L.J.V.E., F.A.S.), Departments of Biostatistics (R.J.K., D.W.F.), Statistics (R.J.K., L.W.), Epidemiology (E.L.A.), and Pathology (P.T.N.), Department of Anatomy and Neurobiology, College of Medicine (L.J.V.E.), and Department of Neurology, College of Medicine (G.A.J., C.D.S., F.A.S.), University of Kentucky, Lexington; and Baptist Neurology Center (G.E.C.), Lexington, KY
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DiBattista AM, Stevens BW, Rebeck GW, Green AE. Two Alzheimer's disease risk genes increase entorhinal cortex volume in young adults. Front Hum Neurosci 2014; 8:779. [PMID: 25339884 PMCID: PMC4186290 DOI: 10.3389/fnhum.2014.00779] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2014] [Accepted: 09/14/2014] [Indexed: 12/16/2022] Open
Abstract
Alzheimer's disease (AD) risk genes alter brain structure and function decades before disease onset. Apolipoprotein E (APOE) is the strongest known genetic risk factor for AD, and a related gene, apolipoprotein J (APOJ), also affects disease risk. However, the extent to which these genes affect brain structure in young adults remains unclear. Here, we report that AD risk alleles of these two genes, APOE-ε4 and APOJ-C, cumulatively alter brain volume in young adults. Using voxel-based morphometry (VBM) in 57 individuals, we examined the entorhinal cortex, one of the earliest brain regions affected in AD pathogenesis. Apolipoprotein E-ε4 carriers exhibited higher right entorhinal cortex volume compared to non-carriers. Interestingly, APOJ-C risk genotype was associated with higher bilateral entorhinal cortex volume in non-APOE-ε4 carriers. To determine the combined disease risk of APOE and APOJ status per subject, we used cumulative odds ratios as regressors for volumetric measurements. Higher disease risk corresponded to greater right entorhinal cortex volume. These results suggest that, years before disease onset, two key AD genetic risk factors may exert influence on the structure of a brain region where AD pathogenesis takes root.
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Affiliation(s)
| | - Benson W Stevens
- Department of Neuroscience, Georgetown University Medical Center Washington, DC, USA ; Department of Psychology, Georgetown University Washington, DC, USA
| | - G William Rebeck
- Department of Neuroscience, Georgetown University Medical Center Washington, DC, USA
| | - Adam E Green
- Department of Psychology, Georgetown University Washington, DC, USA
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Abstract
Loss of memory is among the first symptoms reported by patients suffering from Alzheimer's disease (AD) and by their caretakers. Working memory and long-term declarative memory are affected early during the course of the disease. The individual pattern of impaired memory functions correlates with parameters of structural or functional brain integrity. AD pathology interferes with the formation of memories from the molecular level to the framework of neural networks. The investigation of AD memory loss helps to identify the involved neural structures, such as the default mode network, the influence of epigenetic and genetic factors, such as ApoE4 status, and evolutionary aspects of human cognition. Clinically, the analysis of memory assists the definition of AD subtypes, disease grading, and prognostic predictions. Despite new AD criteria that allow the earlier diagnosis of the disease by inclusion of biomarkers derived from cerebrospinal fluid or hippocampal volume analysis, neuropsychological testing remains at the core of AD diagnosis.
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Affiliation(s)
- Holger Jahn
- University Hospital Hamburg-Eppendorf, Dept of Psychiatry and Psychotherapy, Hamburg, Germany
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Fouquet M, Besson FL, Gonneaud J, La Joie R, Chételat G. Imaging Brain Effects of APOE4 in Cognitively Normal Individuals Across the Lifespan. Neuropsychol Rev 2014; 24:290-9. [DOI: 10.1007/s11065-014-9263-8] [Citation(s) in RCA: 56] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2014] [Accepted: 07/23/2014] [Indexed: 12/21/2022]
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Jessen F, Amariglio RE, van Boxtel M, Breteler M, Ceccaldi M, Chételat G, Dubois B, Dufouil C, Ellis KA, van der Flier WM, Glodzik L, van Harten AC, de Leon MJ, McHugh P, Mielke MM, Molinuevo JL, Mosconi L, Osorio RS, Perrotin A, Petersen RC, Rabin LA, Rami L, Reisberg B, Rentz DM, Sachdev PS, de la Sayette V, Saykin AJ, Scheltens P, Shulman MB, Slavin MJ, Sperling RA, Stewart R, Uspenskaya O, Vellas B, Visser PJ, Wagner M. A conceptual framework for research on subjective cognitive decline in preclinical Alzheimer's disease. Alzheimers Dement 2014; 10:844-52. [PMID: 24798886 DOI: 10.1016/j.jalz.2014.01.001] [Citation(s) in RCA: 1947] [Impact Index Per Article: 177.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2013] [Revised: 12/23/2013] [Accepted: 01/09/2014] [Indexed: 11/26/2022]
Abstract
There is increasing evidence that subjective cognitive decline (SCD) in individuals with unimpaired performance on cognitive tests may represent the first symptomatic manifestation of Alzheimer's disease (AD). The research on SCD in early AD, however, is limited by the absence of common standards. The working group of the Subjective Cognitive Decline Initiative (SCD-I) addressed this deficiency by reaching consensus on terminology and on a conceptual framework for research on SCD in AD. In this publication, research criteria for SCD in pre-mild cognitive impairment (MCI) are presented. In addition, a list of core features proposed for reporting in SCD studies is provided, which will enable comparability of research across different settings. Finally, a set of features is presented, which in accordance with current knowledge, increases the likelihood of the presence of preclinical AD in individuals with SCD. This list is referred to as SCD plus.
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Affiliation(s)
- Frank Jessen
- Department of Psychiatry, University of Bonn, Bonn, Germany; Clinical Treatment and Research Center for Neurodegenerative Disease (KBFZ), University of Bonn, Bonn, Germany; German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany.
| | - Rebecca E Amariglio
- Department of Neurology, Harvard Medical School, Brigham and Women's Hospital, Massachusetts General Hospital, Boston, MA, USA
| | - Martin van Boxtel
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience (MHeNS), Maastricht University, Maastricht, The Netherlands
| | - Monique Breteler
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Mathieu Ceccaldi
- Institut des Neurosciences des Systèmes, Université de Marseille, Marseille, France
| | - Gaël Chételat
- INSERM, U1077, Caen, France; Université de Caen Basse-Normandie, UMR-S1077, Caen, France; Ecole Pratique des Hautes Etudes, UMR-S1077, Caen, France; CHU de Caen, U1077, Caen, France
| | | | - Carole Dufouil
- INSERM U708, Neuroepidemiology, CIC-EC7 and Bordeaux University, Bordeaux, France
| | - Kathryn A Ellis
- Academic Unit for Psychiatry of Old Age, Department of Psychiatry, University of Melbourne, Melbourne, Australia
| | - Wiesje M van der Flier
- Alzheimer Center, Department of Neurology, Neuroscience Campus Amsterdam, VU University Medical Centre, Amsterdam, The Netherlands
| | - Lidia Glodzik
- Department of Psychiatry, New York University Langone Medical Center, New York, NY, USA
| | - Argonde C van Harten
- Alzheimer Center, Department of Neurology, Neuroscience Campus Amsterdam, VU University Medical Centre, Amsterdam, The Netherlands
| | - Mony J de Leon
- Department of Psychiatry, New York University Langone Medical Center, New York, NY, USA
| | - Pauline McHugh
- Department of Psychiatry, New York University Langone Medical Center, New York, NY, USA
| | - Michelle M Mielke
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - Jose Luis Molinuevo
- Alzheimer's Disease and Other Cognitive Disorders Unit, IDIBAPS, Hospital Clinic, Barcelona, Spain
| | - Lisa Mosconi
- Department of Psychiatry, New York University Langone Medical Center, New York, NY, USA
| | - Ricardo S Osorio
- Department of Psychiatry, New York University Langone Medical Center, New York, NY, USA
| | - Audrey Perrotin
- INSERM, U1077, Caen, France; Université de Caen Basse-Normandie, UMR-S1077, Caen, France; Ecole Pratique des Hautes Etudes, UMR-S1077, Caen, France; CHU de Caen, U1077, Caen, France
| | | | - Laura A Rabin
- Brooklyn College of The City University of New York, New York, NY, USA; The Graduate Center of The City University of New York, New York, NY, USA
| | - Lorena Rami
- Alzheimer's Disease and Other Cognitive Disorders Unit, IDIBAPS, Hospital Clinic, Barcelona, Spain
| | - Barry Reisberg
- Department of Psychiatry, New York University Langone Medical Center, New York, NY, USA; Silberstein Aging and Dementia Research Center, New York University School of Medicine, New York, NY, USA
| | - Dorene M Rentz
- Department of Neurology, Harvard Medical School, Brigham and Women's Hospital, Massachusetts General Hospital, Boston, MA, USA
| | - Perminder S Sachdev
- Centre for Healthy Brain Ageing, University of New South Wales, Sydney, Australia
| | - Vincent de la Sayette
- INSERM, U1077, Caen, France; Université de Caen Basse-Normandie, UMR-S1077, Caen, France; Ecole Pratique des Hautes Etudes, UMR-S1077, Caen, France; CHU de Caen, U1077, Caen, France
| | - Andrew J Saykin
- Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Philip Scheltens
- Alzheimer Center, Department of Neurology, Neuroscience Campus Amsterdam, VU University Medical Centre, Amsterdam, The Netherlands
| | - Melanie B Shulman
- Department of Psychiatry, New York University Langone Medical Center, New York, NY, USA
| | - Melissa J Slavin
- Dementia Collaborative Research Centre, School of Psychiatry, UNSW Medicine, University of New South Wales, Sydney, Australia
| | - Reisa A Sperling
- Department of Neurology, Harvard Medical School, Brigham and Women's Hospital, Massachusetts General Hospital, Boston, MA, USA
| | - Robert Stewart
- Institute of Psychiatry, King's College London, London, UK
| | - Olga Uspenskaya
- Alzheimer's Institute, Groupe Hospitalier Pitié-Salpêtrière, Paris, France
| | - Bruno Vellas
- Department of Internal Medicine and Geriatrics, Toulouse University Hospital, UMR INSERM 1027, University Paul Sabatier, Toulouse, France
| | - Pieter Jelle Visser
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience (MHeNS), Maastricht University, Maastricht, The Netherlands; Alzheimer Center, Department of Neurology, Neuroscience Campus Amsterdam, VU University Medical Centre, Amsterdam, The Netherlands
| | - Michael Wagner
- Department of Psychiatry, University of Bonn, Bonn, Germany; Clinical Treatment and Research Center for Neurodegenerative Disease (KBFZ), University of Bonn, Bonn, Germany; German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
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Arterial stiffness, the brain and cognition: a systematic review. Ageing Res Rev 2014; 15:16-27. [PMID: 24548924 DOI: 10.1016/j.arr.2014.02.002] [Citation(s) in RCA: 145] [Impact Index Per Article: 13.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2014] [Accepted: 02/05/2014] [Indexed: 12/26/2022]
Abstract
BACKGROUND Arterial stiffness is a known predictor of cardiovascular disease, and has also been associated with markers of cerebral small vessel disease as well as poor cognitive function and cognitive decline. The consistency of these associations and their relationship to each other are unclear. METHOD We conducted a systematic review of the evidence associating arterial stiffness with cognitive function and cognitive decline, and with makers of cerebral small vessel disease, specifically lacunar infarcts and white matter hyperintensities. RESULTS Thirteen cross-sectional studies examining arterial stiffness and white matter hyperintensities or lacunar infarctions reported a positive association between increased arterial stiffness and radiological findings of cerebral small vessel disease. Two longitudinal studies examining the relationship between arterial stiffness and white matter hyperintensities found increased pulse wave velocity to be an independent predictor of white matter hyperintensity volume. Fifteen cross-sectional and seven longitudinal studies examining arterial stiffness and cognition were identified. Fourteen of the fifteen cross-sectional studies associated increased arterial stiffness with lower cognitive function, and six of the seven longitudinal studies found arterial stiffness to be predictive of cognitive decline. CONCLUSION Arterial stiffness is associated with cerebral small vessel disease and decreased cognitive function. However methodological limitations such as differing covariates between studies and an over-reliance on the MMSE to measure cognition are a concern across much of the literature.
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Campos-Magdaleno M, Facal D, Juncos-Rabadán O, Braña T, Pereiro AX. Cluster subtypes of the Spanish version of the California Verbal Learning Test in a sample of adults with subjective memory complaints. J Clin Exp Neuropsychol 2014; 36:317-33. [DOI: 10.1080/13803395.2014.890698] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
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Eramudugolla R, Cherbuin N, Easteal S, Jorm AF, Anstey KJ. Self-reported cognitive decline on the informant questionnaire on cognitive decline in the elderly is associated with dementia, instrumental activities of daily living and depression but not longitudinal cognitive change. Dement Geriatr Cogn Disord 2013. [PMID: 23208022 DOI: 10.1159/000345439] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND/AIM A subjective history of cognitive decline is integral to dementia screening, yet there are few data on the accuracy of retrospective self-reports. We prospectively examined the longitudinal predictors of self-reported decline, including rate of cognitive change, clinical diagnosis, depressive symptoms and personality. METHODS We used a large (n = 2,551) community-dwelling sample of older adults (60-64 years at baseline) and tracked their cognitive functioning over 3 waves across a period of 8 years. Individual rates of change in multiple domains of cognition, incident dementia and mild cognitive disorders, apolipoprotein E (APOE) ε4 genotype, level of education, depressive symptoms and personality were examined as predictors of wave 3 retrospective self-reported decline as measured by the Informant Questionnaire on Cognitive Decline in the Elderly. RESULTS The rate of cognitive decline did not predict subjective decline. Significant predictors of self-reported decline included dementia diagnosis, problems with instrumental activities of daily living, depression and neuroticism at the time of self-report, as well as the presence of an APOE ε4 allele. CONCLUSIONS In this relatively young cohort, retrospective self-report of cognitive decline does not reflect objective deterioration in cognition over the time period in question, but it may identify individuals in the initial stages of dementia and those with elevated psychological and genotypic risk factors for the development of dementia.
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Affiliation(s)
- Ranmalee Eramudugolla
- Centre for Research on Ageing, Health and Wellbeing, Australian National University, Canberra, Australia.
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Bender AR, Raz N. Age-related differences in memory and executive functions in healthy APOE ɛ4 carriers: the contribution of individual differences in prefrontal volumes and systolic blood pressure. Neuropsychologia 2012; 50:704-14. [PMID: 22245009 PMCID: PMC3309165 DOI: 10.1016/j.neuropsychologia.2011.12.025] [Citation(s) in RCA: 37] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2011] [Revised: 11/10/2011] [Accepted: 12/23/2011] [Indexed: 11/19/2022]
Abstract
Advanced age and vascular risk are associated with declines in the volumes of multiple brain regions, especially the prefrontal cortex, and the hippocampus. Older adults, even unencumbered by declining health, perform less well than their younger counterparts in multiple cognitive domains, such as episodic memory, executive functions, and speed of perceptual processing. Presence of a known genetic risk factor for cognitive decline and vascular disease, the ɛ4 allele of the apolipoprotein E (APOE) gene, accounts for some share of those declines; however, the extent of the joint contribution of genetic and physiological vascular risk factors on the aging brain and cognition is unclear. In a sample of healthy adults (age 19-77), we examined the effects of a vascular risk indicator (systolic blood pressure, SBP) and volumes of hippocampus (HC), lateral prefrontal cortex (lPFC), and prefrontal white matter (pFWM) on processing speed, working memory (WM), and recognition memory. Using path analyses, we modeled indirect effects of age, SBP, and brain volumes on processing speed, WM, and memory and compared the patterns of structural relations among those variables in APOE ɛ4 carriers and ɛ3 homozygotes. Among ɛ4 carriers, age differences in WM were explained by increase in SBP, reduced FWM volume, and slower processing. In contrast, lPFC and FWM volumes, but not BP, explained a share of age differences in WM among ɛ3 homozygotes. Thus, even in healthy older carriers of the APOE ɛ4 allele, clinically unremarkable increase in vascular risk may be associated with reduced frontal volumes and impaired cognitive functions.
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Affiliation(s)
- Andrew R Bender
- Department of Psychology & Institute of Gerontology, Wayne State University, United States
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