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Takamiya A, Radwan A, Christiaens D, Van Cauwenberge M, Vande Casteele T, Laroy M, Vansteelandt K, Sunaert S, Koole M, Van den Stock J, Van Laere K, Bouckaert F, Vandenbulcke M, Emsell L. Gray and white matter differences in the medial temporal lobe in late-life depression: a multimodal PET-MRI investigation. Psychol Med 2025; 55:e10. [PMID: 39901804 DOI: 10.1017/s0033291724003362] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/05/2025]
Abstract
BACKGROUND Late-life depression (LLD) is characterized by medial temporal lobe (MTL) abnormalities. Although gray matter (GM) and white matter (WM) differences in LLD have been reported, few studies have investigated them concurrently. Moreover, the impact of aetiological factors, such as neurodegenerative and cerebrovascular burden, on tissue differences remains elusive. METHODS This prospective cross-sectional study involved 72 participants, including 33 patients with LLD (mean age 72.2 years, 23 female) and 39 healthy controls (HCs) (mean age 70.6 years, 24 female), who underwent clinical and positron emission tomography (PET)-magnetic resonance imaging (MRI) assessments. High-resolution 3D T1-weighted and T2-weighted FLAIR images were used to assess MTL GM volumes and white matter hyperintensities (WMHs), a proxy for cerebrovascular burden. Diffusion kurtosis imaging metrics derived from multishell diffusion MRI data were analyzed to assess WM microstructure in the following MTL bundles reconstructed using constrained spherical deconvolution tractography: uncinate fasciculus, fornix, and cingulum. Standardized uptake value ratio of 18F-MK-6240 in the MTL was used to assess Alzheimer's disease (AD) type tau accumulation as a proxy for neurodegenerative burden. RESULTS Compared to HCs, patients with LLD showed significantly lower bilateral MTL volumes and WM microstructural differences primarily in the uncinate fasciculi bilaterally and right fornix. In patients with LLD, higher vascular burden, but not tau, was associated with lower MTL volume and more pronounced WM differences. CONCLUSIONS LLD was associated with both GM and WM differences in the MTL. Cerebrovascular disease, rather than AD type tau-mediated neurodegenerative processes, may contribute to brain tissue differences in LLD.
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Affiliation(s)
- Akihiro Takamiya
- Department of Neurosciences, Neuropsychiatry, KU Leuven, Leuven, Belgium
- Department of Neurosciences, KU Leuven, Leuven Brain Institute, Leuven, Belgium
- Hills Joint Research Laboratory for Future Preventive Medicine and Wellness, Keio University School of Medicine, TokyoJapan
| | - Ahmed Radwan
- Department of Neurosciences, KU Leuven, Leuven Brain Institute, Leuven, Belgium
- Department of Imaging and Pathology, Translational MRI, KU Leuven, Leuven, Belgium
| | - Daan Christiaens
- Department of Neurosciences, KU Leuven, Leuven Brain Institute, Leuven, Belgium
- Department of Electrical Engineering, EST-PSI, KU Leuven, Leuven, Belgium
| | - Margot Van Cauwenberge
- Department of Neurosciences, Neuropsychiatry, KU Leuven, Leuven, Belgium
- Department of Neurosciences, KU Leuven, Leuven Brain Institute, Leuven, Belgium
| | - Thomas Vande Casteele
- Department of Neurosciences, Neuropsychiatry, KU Leuven, Leuven, Belgium
- Department of Neurosciences, KU Leuven, Leuven Brain Institute, Leuven, Belgium
| | - Maarten Laroy
- Department of Neurosciences, Neuropsychiatry, KU Leuven, Leuven, Belgium
- Department of Neurosciences, KU Leuven, Leuven Brain Institute, Leuven, Belgium
| | - Kristof Vansteelandt
- Department of Neurosciences, Research Group Psychiatry, Neuropsychiatry, Academic Center for ECT and Neuromodulation (AcCENT), University Psychiatric Center KU Leuven, Kortenberg, Belgium
| | - Stefan Sunaert
- Department of Neurosciences, KU Leuven, Leuven Brain Institute, Leuven, Belgium
- Department of Imaging and Pathology, Translational MRI, KU Leuven, Leuven, Belgium
- Department of Radiology, University Hospitals Leuven, Leuven, Belgium
| | - Michel Koole
- Department of Imaging and Pathology, Nuclear Medicine and Molecular Imaging, KU Leuven, Leuven, Belgium
| | - Jan Van den Stock
- Department of Neurosciences, Neuropsychiatry, KU Leuven, Leuven, Belgium
- Department of Neurosciences, KU Leuven, Leuven Brain Institute, Leuven, Belgium
- Department of Geriatric Psychiatry, University Psychiatric Center KU Leuven, Leuven, Belgium
| | - Koen Van Laere
- Department of Neurosciences, KU Leuven, Leuven Brain Institute, Leuven, Belgium
- Department of Imaging and Pathology, Nuclear Medicine and Molecular Imaging, KU Leuven, Leuven, Belgium
- Department of Nuclear Medicine and Molecular Imaging, University Hospitals Leuven, Leuven, Belgium
| | - Filip Bouckaert
- Department of Neurosciences, Neuropsychiatry, KU Leuven, Leuven, Belgium
- Department of Neurosciences, KU Leuven, Leuven Brain Institute, Leuven, Belgium
- Department of Geriatric Psychiatry, University Psychiatric Center KU Leuven, Leuven, Belgium
| | - Mathieu Vandenbulcke
- Department of Neurosciences, Neuropsychiatry, KU Leuven, Leuven, Belgium
- Department of Neurosciences, KU Leuven, Leuven Brain Institute, Leuven, Belgium
- Department of Geriatric Psychiatry, University Psychiatric Center KU Leuven, Leuven, Belgium
| | - Louise Emsell
- Department of Neurosciences, Neuropsychiatry, KU Leuven, Leuven, Belgium
- Department of Neurosciences, KU Leuven, Leuven Brain Institute, Leuven, Belgium
- Department of Imaging and Pathology, Translational MRI, KU Leuven, Leuven, Belgium
- Department of Geriatric Psychiatry, University Psychiatric Center KU Leuven, Leuven, Belgium
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2
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Hu Y, Zhu T, Yuan M, Zhu H, Zhang W. Longitudinal association of depressive symptoms with cognition and neuroimaging biomarkers in cognitively unimpaired older adults, mild cognitive impairment, and Alzheimer's disease. Cereb Cortex 2024; 34:bhae423. [PMID: 39441024 DOI: 10.1093/cercor/bhae423] [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: 04/10/2024] [Revised: 09/11/2024] [Accepted: 10/05/2024] [Indexed: 10/25/2024] Open
Abstract
We aimed to longitudinally examine the relationship between depression and cognitive function and investigate the mediating effects of imaging indicators in this relationship. 2,251 subjects with longitudinal assessment of geriatric depression scale, Mini-Mental State Examination, Montreal Cognitive Assessment, Clinical Dementia Rating-Sum of Boxes (CDRSB), Alzheimer's Disease Assessment Scale11, Alzheimer's Disease Assessment Scale13 and imaging of 3DT1, diffusion tensor imaging, fluid-attenuated inversion recovery, arterial spin labeling, fluorodeoxyglucose positron emission tomography, 18F-AV45-PET, and 18F-AV1451-PET were included from the Alzheimer's Disease Neuroimaging Initiative database. The multivariate mixed-effects models were employed to analyze the correlation between geriatric depression scale scores, cognitive function, and imaging indicators. The sgmediation software package was utilized to analyze the mediating effects of imaging indicators. The geriatric depression scale was negatively correlated with Mini-Mental State Examination and Montreal Cognitive Assessment, and positively correlated with CDRSB, Alzheimer's Disease Assessment Scale11, and Alzheimer's Disease Assessment Scale13 when the subjects were not grouped. The geriatric depression scale was negatively correlated with Montreal Cognitive Assessment and positively correlated with Alzheimer's Disease Assessment Scal13 in groups with baseline diagnosis of early mild cognitive impairment and late mild cognitive impairment. Furthermore, depression was associated with regional imaging indicators, while cognitive function was linked to broad imaging indicators. Some of these indicators were related to both depression and cognitive function, playing a mediating role in their relationship. Depression was related to cognitive function, especially in subjects with mild cognitive impairment. Some imaging indicators may represent the underlying basis for the association between depression and cognitive function.
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Affiliation(s)
- Ying Hu
- Department of Radiology, West China Biomedical Big Data Center, West China Hospital, Sichuan University, No. 37 Guo Xue Alley, Chengdu, Sichuan, 610041, China
| | - Ting Zhu
- West China Biomedical Big Data Center, West China Hospital, Sichuan University, No. 37 Guo Xue Alley, Chengdu, Sichuan, 610041, China
| | - Minlan Yuan
- Mental Health Center and Psychiatric Laboratory, the State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, No. 37 Guo Xue Alley, Chengdu, Sichuan, 610041, China
| | - Hongru Zhu
- Mental Health Center and Psychiatric Laboratory, the State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, No. 37 Guo Xue Alley, Chengdu, Sichuan, 610041, China
| | - Wei Zhang
- West China Biomedical Big Data Center of West China Hospital, Med-X Center for Informatics, Mental Health Center of West China Hospital, Sichuan University, No. 37 Guo Xue Alley, Chengdu, Sichuan, 610041, China
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3
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Ourry V, Binette AP, St-Onge F, Strikwerda-Brown C, Chagnot A, Poirier J, Breitner J, Arenaza-Urquijo EM, Rabin JS, Buckley R, Gonneaud J, Marchant NL, Villeneuve S. How Do Modifiable Risk Factors Affect Alzheimer's Disease Pathology or Mitigate Its Effect on Clinical Symptom Expression? Biol Psychiatry 2024; 95:1006-1019. [PMID: 37689129 DOI: 10.1016/j.biopsych.2023.09.003] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/14/2023] [Revised: 08/11/2023] [Accepted: 09/03/2023] [Indexed: 09/11/2023]
Abstract
Epidemiological studies show that modifiable risk factors account for approximately 40% of the population variability in risk of developing dementia, including sporadic Alzheimer's disease (AD). Recent findings suggest that these factors may also modify disease trajectories of people with autosomal-dominant AD. With positron emission tomography imaging, it is now possible to study the disease many years before its clinical onset. Such studies can provide key knowledge regarding pathways for either the prevention of pathology or the postponement of its clinical expression. The former "resistance pathway" suggests that modifiable risk factors could affect amyloid and tau burden decades before the appearance of cognitive impairment. Alternatively, the resilience pathway suggests that modifiable risk factors may mitigate the symptomatic expression of AD pathology on cognition. These pathways are not mutually exclusive and may appear at different disease stages. Here, in a narrative review, we present neuroimaging evidence that supports both pathways in sporadic AD and autosomal-dominant AD. We then propose mechanisms for their protective effect. Among possible mechanisms, we examine neural and vascular mechanisms for the resistance pathway. We also describe brain maintenance and functional compensation as bases for the resilience pathway. Improved mechanistic understanding of both pathways may suggest new interventions.
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Affiliation(s)
- Valentin Ourry
- Department of Psychiatry, Faculty of Medicine, McGill University, Montreal, Quebec, Canada; Douglas Mental Health University Institute, Montreal, Quebec, Canada.
| | - Alexa Pichet Binette
- Department of Psychiatry, Faculty of Medicine, McGill University, Montreal, Quebec, Canada; Douglas Mental Health University Institute, Montreal, Quebec, Canada; Clinical Memory Research Unit, Department of Clinical Sciences, Lunds Universitet, Malmö, Sweden
| | - Frédéric St-Onge
- Department of Psychiatry, Faculty of Medicine, McGill University, Montreal, Quebec, Canada; Douglas Mental Health University Institute, Montreal, Quebec, Canada; Integrated Program in Neuroscience, Faculty of Medicine, McGill University, Montreal, Quebec, Canada
| | - Cherie Strikwerda-Brown
- Department of Psychiatry, Faculty of Medicine, McGill University, Montreal, Quebec, Canada; Douglas Mental Health University Institute, Montreal, Quebec, Canada; School of Psychological Science, The University of Western Australia, Perth, Western Australia, Australia
| | - Audrey Chagnot
- UK Dementia Research Institute, Edinburgh Medical School, University of Edinburgh, Edinburgh, United Kingdom; Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom
| | - Judes Poirier
- Department of Psychiatry, Faculty of Medicine, McGill University, Montreal, Quebec, Canada; Douglas Mental Health University Institute, Montreal, Quebec, Canada
| | - John Breitner
- Department of Psychiatry, Faculty of Medicine, McGill University, Montreal, Quebec, Canada; Douglas Mental Health University Institute, Montreal, Quebec, Canada
| | - Eider M Arenaza-Urquijo
- Environment and Health over the Lifecourse Programme, Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain; Department of Radiology, Mayo Clinic, Rochester, Minnesota
| | - Jennifer S Rabin
- Division of Neurology, Department of Medicine, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada; Harquail Centre for Neuromodulation, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, Ontario, Canada; Rehabilitation Sciences Institute, University of Toronto, Toronto, Ontario, Canada
| | - Rachel Buckley
- Melbourne School of Psychological Sciences University of Melbourne, Parkville, Victoria, Australia; Department of Neurology, Massachusetts General Hospital, Boston, Massachusetts; Harvard Medical School, Boston, Massachusetts; Center for Alzheimer Research and Treatment, Department of Neurology, Brigham and Women's Hospital, Boston, Massachusetts
| | - Julie Gonneaud
- Normandie University, UNICAEN, INSERM, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders," Institut Blood and Brain @ Caen-Normandie, GIP Cyceron, Caen, France
| | - Natalie L Marchant
- Division of Psychiatry, University College London, London, United Kingdom
| | - Sylvia Villeneuve
- Department of Psychiatry, Faculty of Medicine, McGill University, Montreal, Quebec, Canada; Douglas Mental Health University Institute, Montreal, Quebec, Canada; McConnell Brain Imaging Center, Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada.
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4
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Golas AC, Salwierz P, Rajji TK, Bowie CR, Butters MA, Fischer CE, Flint AJ, Herrmann N, Mah L, Mulsant BH, Pollock BG, Taghdiri F, Wang W, Tartaglia MC. Assessing the Role of Past Depression in Patients with Mild Cognitive Impairment, with and without Biomarkers for Alzheimer's Disease. J Alzheimers Dis 2023; 92:1219-1227. [PMID: 36911939 DOI: 10.3233/jad-221097] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/12/2023]
Abstract
Major depressive disorder (MDD) is a risk factor for Alzheimer's disease (AD). Cerebrovascular disease (CVD) is implicated in MDD and AD. Our study compared participants with AD positive and negative cerebrospinal fluid (CSF) biomarkers on neuropsychological performance, remitted MDD status, and CVD burden. Next, we compared AD-CSF biomarkers and white matter hyperintensities (WMH) burden among three groups: mild cognitive impairment (MCI) (n = 12), MCI with remitted MDD (MDD+MCI) (n = 12), and remitted MDD alone (MDD) (n = 7). Few participants (18%) with MCI+MDD exhibited AD(+) biomarkers. Nearly all participants had moderate-severe WMH. WMH may contribute to cognitive impairment or depression in MCI patients with AD(-) biomarkers.
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Affiliation(s)
- Angela C Golas
- Centre for Addiction and Mental Health, Toronto, ON, Canada.,Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
| | - Patrick Salwierz
- Centre for Addiction and Mental Health, Toronto, ON, Canada.,Tanz Centre for Research in Neurodegenerative Diseases, University of Toronto, Toronto, ON, Canada.,Division of Neurology, Department of Medicine, University of Toronto, Toronto, ON, Canada
| | - Tarek K Rajji
- Centre for Addiction and Mental Health, Toronto, ON, Canada.,Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada.,Toronto Dementia Research Alliance, University of Toronto, Toronto, ON, Canada
| | - Christopher R Bowie
- Centre for Addiction and Mental Health, Toronto, ON, Canada.,Department of Psychology, Queen's University, Kingston, ON, Canada
| | - Meryl A Butters
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - Corinne E Fischer
- Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada.,Keenan Research Centre for Biomedical Science, St. Michael's Hospital, Toronto, ON, Canada
| | - Alastair J Flint
- Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada.,University Health Network, Toronto, ON, Canada
| | - Nathan Herrmann
- Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada.,Sunnybrook Health Sciences Centre, Toronto, ON, Canada
| | - Linda Mah
- Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada.,Rotman Research Institute, Baycrest Health Sciences, Toronto, ON, Canada
| | - Benoit H Mulsant
- Centre for Addiction and Mental Health, Toronto, ON, Canada.,Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
| | - Bruce G Pollock
- Centre for Addiction and Mental Health, Toronto, ON, Canada.,Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
| | - Foad Taghdiri
- Tanz Centre for Research in Neurodegenerative Diseases, University of Toronto, Toronto, ON, Canada
| | - Wei Wang
- Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - M Carmela Tartaglia
- Tanz Centre for Research in Neurodegenerative Diseases, University of Toronto, Toronto, ON, Canada.,Division of Neurology, Department of Medicine, University of Toronto, Toronto, ON, Canada
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5
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Chandler J, Kubisiak J. Clinical and Economic Assessment in Early-Stage Dementia by Severity and Amyloid-β Status: A 5-Year Retrospective Claims Study of GERAS-US Patients. J Alzheimers Dis 2023; 91:753-765. [PMID: 36502319 PMCID: PMC9912735 DOI: 10.3233/jad-220415] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
BACKGROUND The high burden of dementia and Alzheimer's disease (AD) increases substantially as disease progresses. Characterizing early patterns of health care utilization among patients who develop cognitive impairment may deepen our understanding of early disease trajectory and potentially facilitate timely diagnosis and management. OBJECTIVE Describe clinical characteristics, healthcare utilization, and costs in early-stage dementia by disease severity and amyloid-β status before enrollment in an observational study (GERAS-US). METHODS Consented patients' GERAS-US data were linked to available five-years of Medicare claims history before GERAS-US enrollment. Clinical characteristics, comorbidity, and pre-/post-diagnosis healthcare use and costs were assessed. Continuous and categorical variables were compared between severity and amyloid-status cohorts using t-test and Chi-square statistics; linear regression models were used to compare cost and utilization measures after adjusting for differences in patients' observation time. Relative likelihood of observed diagnoses, comorbidity, and prescription drug use among cohorts were presented as OR and 90% confidence interval (CI). RESULTS Of 174 patients clinically diagnosed with early dementia (mild cognitive impairment (MCI): 101; mild dementia (MILD): 73), 55% were amyloid-positive. Memory loss was more likely in MILD versus MCI (OR:1.85, 90% CI 1.10-3.09) and in amyloid-positive versus amyloid-negative cohorts (OR:1.98, 90% CI 1.19-3.29). Mean annual healthcare costs after cognitive impairment/dementia diagnosis were significantly higher for MILD versus MCI ($1191 versus $712, p = 0.067) and amyloid-negative versus amyloid-positive ($1281 versus $701, p = 0.034). Diabetes was more prevalent in MILD and amyloid-negative cohorts. CONCLUSION Comorbidity and economic burden increased in earliest stages of MCI and MILD and were higher in patients who were amyloid-negative.
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Affiliation(s)
- Julie Chandler
- Eli Lilly and Company, Indianapolis, IN, USA,Correspondence to: Julie Chandler, PhD, Executive Director, VEO-Research, Eli Lilly and Company, Lilly Corporate Center, 893 South Delaware Street, Indianapolis, IN 46285, USA. Tel.: +1 215 444 5740; E-mail:
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6
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Pomara N, Bruno D, Plaska CR, Ramos-Cejudo J, Osorio RS, Pillai A, Imbimbo BP, Zetterberg H, Blennow K. Plasma Amyloid-β dynamics in late-life major depression: a longitudinal study. Transl Psychiatry 2022; 12:301. [PMID: 35902554 PMCID: PMC9334636 DOI: 10.1038/s41398-022-02077-8] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/06/2022] [Revised: 07/14/2022] [Accepted: 07/19/2022] [Indexed: 11/09/2022] Open
Abstract
Depressed individuals are twice as likely to develop Alzheimer's disease (AD) as compared to controls. Brain amyloid-β (Aβ) deposition is believed to have a major role in AD pathogenesis but studies also suggest associations of Aβ dynamics and depression. The aim of this study was to test if plasma Aβ levels are longitudinally associated to late-life depression. We measured plasma levels of amyloid-β1-40 (Aβ40) and amyloid-β1-42 (Aβ42) peptides longitudinally for three consecutive years in 48 cognitively intact elderly subjects with late-life major depressive disorder (LLMD) and 45 age-matched cognitively healthy controls. We found that the Aβ42/Aβ40 plasma ratio was significantly and steadily lower in depressed subjects compared to controls (p < 0.001). At screening, Aβ42/Aβ40 plasma did not correlate with depression severity (as measured with Hamilton Depression Scale) or cognitive performance (as measured with Mini-Mental State Examination) but was associated to depression severity at 3 years after adjustment for age, education, cognitive performance, and antidepressants use. This study showed that reduced plasma Aβ42/Aβ40 ratio is consistently associated with LLMD diagnosis and that increased severity of depression at baseline predicted low Aβ42/Aβ40 ratio at 3 years. Future studies are needed to confirm these findings and examine if the consistently lower plasma Aβ42/Aβ40 ratio in LLMD reflects increased brain amyloid deposition, as observed in AD subjects, and an increased risk for progressive cognitive decline and AD.
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Affiliation(s)
- Nunzio Pomara
- Nathan Kline Institute, Orangeburg, NY, USA. .,Department of Psychiatry and Pathology, New York University-Grossman School of Medicine, New York, NY, USA.
| | - Davide Bruno
- grid.4425.70000 0004 0368 0654School of Psychology, Liverpool John Moores University, Liverpool, UK
| | - Chelsea Reichert Plaska
- grid.250263.00000 0001 2189 4777Nathan Kline Institute, Orangeburg, NY USA ,grid.137628.90000 0004 1936 8753Department of Psychiatry, New York University-Grossman School of Medicine, New York, NY USA
| | - Jaime Ramos-Cejudo
- grid.137628.90000 0004 1936 8753Department of Psychiatry, New York University-Grossman School of Medicine, New York, NY USA
| | - Ricardo S. Osorio
- grid.250263.00000 0001 2189 4777Nathan Kline Institute, Orangeburg, NY USA ,grid.137628.90000 0004 1936 8753Department of Psychiatry, New York University-Grossman School of Medicine, New York, NY USA
| | - Anilkumar Pillai
- grid.267308.80000 0000 9206 2401Pathophysiology of Neuropsychiatric Disorders Program, Faillace Department of Psychiatry and Behavioral Sciences, McGovern Medical School, The University of Texas Health Science Center at Houston (UTHealth), Houston, TX USA ,grid.413830.d0000 0004 0419 3970Research and Development, Charlie Norwood VA Medical Center, Augusta, GA USA ,grid.410427.40000 0001 2284 9329Department of Psychiatry and Health Behavior, Medical College of Georgia, Augusta University, Augusta, GA USA
| | - Bruno P. Imbimbo
- grid.467287.80000 0004 1761 6733Research & Development, Chiesi Farmaceutici, Parma, Italy
| | - Henrik Zetterberg
- grid.83440.3b0000000121901201Department of Neurodegenerative Disease, UCL Institute of Neurology, London, UK ,grid.83440.3b0000000121901201UK Dementia Research Institute at UCL, London, UK ,grid.8761.80000 0000 9919 9582Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden ,grid.1649.a000000009445082XClinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden ,grid.24515.370000 0004 1937 1450Hong Kong Center for Neurodegenerative Diseases, Clear Water Bay, Hong Kong, China
| | - Kaj Blennow
- grid.8761.80000 0000 9919 9582Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden ,grid.1649.a000000009445082XClinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
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7
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Johansson M, Stomrud E, Johansson PM, Svenningsson A, Palmqvist S, Janelidze S, van Westen D, Mattsson-Carlgren N, Hansson O. Development of Apathy, Anxiety, and Depression in Cognitively Unimpaired Older Adults: Effects of Alzheimer's Disease Pathology and Cognitive Decline. Biol Psychiatry 2022; 92:34-43. [PMID: 35346458 DOI: 10.1016/j.biopsych.2022.01.012] [Citation(s) in RCA: 30] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/04/2021] [Revised: 01/12/2022] [Accepted: 01/16/2022] [Indexed: 11/20/2022]
Abstract
BACKGROUND The impact of Alzheimer's disease (AD) pathology and cognitive deficits on longitudinal neuropsychiatric symptoms is unclear, especially in early disease stages. METHODS Cognitively unimpaired older adults (N = 356) enrolled in the prospective Swedish BioFINDER study were examined. Neuropsychiatric assessments encompassed the Apathy Evaluation Scale and the Hospital Anxiety and Depression Scale, performed biennially (together with tests of global cognition) for up to 8 years. Biomarkers were measured in cerebrospinal fluid or plasma at baseline. Magnetic resonance imaging quantified white matter lesions. We used linear mixed-effect models to test associations between baseline AD biomarkers (for amyloid-β [Aβ], tau, and neurodegeneration) and white matter lesions with longitudinal neuropsychiatric symptoms (apathy, anxiety, and depressive symptoms). We also tested associations between changes in cognition and changes in neuropsychiatric symptoms. Finally, we tested if change in cognition mediated the effects of different brain pathologies on neuropsychiatric symptoms. RESULTS Aβ pathology at baseline was associated with increasing levels of apathy (β = -0.284, p = .005) and anxiety (β = -0.060, p = .011) longitudinally. More rapid decline of cognition over time was related to increasing levels of apathy. The effects of baseline Aβ pathology on longitudinal apathy were partly mediated by changes in cognitive performance (proportion mediated 23%). CONCLUSIONS Aβ pathology may drive the development of both apathy and anxiety in very early stages of AD, largely independent of cognitive change. The effect of Aβ on apathy is only partially conveyed by worse cognition. Together, these findings highlight certain neuropsychiatric symptoms as early manifestations of AD.
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Affiliation(s)
- Maurits Johansson
- Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, Lund, Sweden; Division of Clinical Sciences Helsingborg, Department of Clinical Sciences Lund, Lund University, Helsingborg, Sweden; Clinical Department of Psychiatry, Helsingborg Hospital, Helsingborg, Sweden.
| | - Erik Stomrud
- Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, Lund, Sweden; Memory Clinic, Skåne University Hospital, Malmö, Sweden
| | - Per Mårten Johansson
- Division of Clinical Sciences Helsingborg, Department of Clinical Sciences Lund, Lund University, Helsingborg, Sweden; Department of Internal Medicine, Sahlgrenska Academy, University of Gothenburg, Göteborg, Sweden
| | - Anna Svenningsson
- Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, Lund, Sweden; Memory Clinic, Skåne University Hospital, Malmö, Sweden
| | - Sebastian Palmqvist
- Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, Lund, Sweden; Memory Clinic, Skåne University Hospital, Malmö, Sweden
| | - Shorena Janelidze
- Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, Lund, Sweden
| | - Danielle van Westen
- Diagnostic Radiology, Department of Clinical Sciences Lund, Lund University, Lund, Sweden; Image and Function, Skåne University Hospital Lund, Lund, Sweden
| | - Niklas Mattsson-Carlgren
- Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, Lund, Sweden; Wallenberg Center for Molecular Medicine, Lund University, Lund, Sweden; Department of Neurology, Skåne University Hospital Lund, Lund, Sweden
| | - Oskar Hansson
- Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, Lund, Sweden; Memory Clinic, Skåne University Hospital, Malmö, Sweden.
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8
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Leonhardi J, Barthel H, Speerforck S, Dietzel J, Schroeter ML, Saur D, Tiepolt S, Rullmann M, Patt M, Claßen J, Schomerus G, Sabri O. Differential Diagnosis Between Alzheimer's Disease-Related Depression and Pseudo-Dementia in Depression: A New Indication for Amyloid-β Imaging? J Alzheimers Dis 2022; 88:1029-1035. [PMID: 35723098 DOI: 10.3233/jad-215619] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND Alzheimer's disease and depression can start with combined cognitive and depressive symptoms [1, 2]. Accurate differential diagnosis is desired to initiate specific treatment. OBJECTIVE We investigated whether amyloid-β PET imaging can discriminate both entities. METHODS This retrospective observational study included 39 patients (20 female, age = 70±11years) with both cognitive and depressive symptoms who underwent amyloid-β PET imaging and in whom clinical follow-up data was available. Amyloid-β PET was carried out applying [18F]Florbetaben or [11C]PiB. The PET images were analyzed by standardized visual and relative-quantitative evaluation. Based on clinical follow-up (median of 2.4 years [range 0.3 to 7.0 years, IQR = 3.7 years] after amyloid PET imaging which was not considered in obtaining a definite diagnosis), discrimination ability between AD-related depression and pseudo-dementia in depression/depression with other comorbidities was determined. RESULTS Visually, all 10 patients with pseudo-dementia in depression and all 15 patients with other depression were rated as amyloid-β-negative; 2 of 14 patients with AD-related depression were rated amyloid-β-negative. ROC curve analysis of the unified composite standardized uptake value ratios (cSUVRs) was able to discriminate pseudo-dementia in depression from AD-related depression with high accuracy (AUC = 0.92). Optimal [18F]Florbetaben discrimination cSUVR threshold was 1.34. In congruence with the visual PET analysis, the resulting sensitivity of the relative-quantitative analysis was 86% with a specificity of 100% . CONCLUSION Amyloid-β PET can differentiate AD-related depression and pseudo-dementia in depression. Prospective clinical studies are warranted to confirm this result and to potentially broaden the spectrum of clinical applications for amyloid-β PET imaging.
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Affiliation(s)
- Jakob Leonhardi
- Department of Nuclear Medicine, University of Leipzig Medical Center, Leipzig, Germany.,Department of Radiology, University of Leipzig Medical Center, Leipzig, Germany
| | - Henryk Barthel
- Department of Nuclear Medicine, University of Leipzig Medical Center, Leipzig, Germany
| | - Sven Speerforck
- Department of Psychiatry and Psychotherapy, University of Leipzig Medical Center, Leipzig, Germany
| | - Jens Dietzel
- Department of Psychiatry and Psychotherapy, University of Leipzig Medical Center, Leipzig, Germany
| | - Matthias L Schroeter
- Clinic for Cognitive Neurology, University of Leipzig Medical Center, Max Planck Institute for Human Cognitive & Brain Sciences, Leipzig, Germany
| | - Dorothee Saur
- Department of Neurology, University of Leipzig Medical Center, Leipzig, Germany
| | - Solveig Tiepolt
- Department of Nuclear Medicine, University of Leipzig Medical Center, Leipzig, Germany
| | - Michael Rullmann
- Department of Nuclear Medicine, University of Leipzig Medical Center, Leipzig, Germany
| | - Marianne Patt
- Department of Nuclear Medicine, University of Leipzig Medical Center, Leipzig, Germany
| | - Joseph Claßen
- Department of Neurology, University of Leipzig Medical Center, Leipzig, Germany
| | - Georg Schomerus
- Department of Psychiatry and Psychotherapy, University of Leipzig Medical Center, Leipzig, Germany
| | - Osama Sabri
- Department of Nuclear Medicine, University of Leipzig Medical Center, Leipzig, Germany
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9
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Wu KY, Lin KJ, Chen CH, Liu CY, Wu YM, Chen CS, Yen TC, Hsiao IT. Decreased Cerebral Amyloid-β Depositions in Patients With a Lifetime History of Major Depression With Suspected Non-Alzheimer Pathophysiology. Front Aging Neurosci 2022; 14:857940. [PMID: 35721010 PMCID: PMC9204309 DOI: 10.3389/fnagi.2022.857940] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2022] [Accepted: 04/11/2022] [Indexed: 11/19/2022] Open
Abstract
Cerebral amyloid-β (Aβ) depositions in depression in old age are controversial. A substantial proportion of individuals with late-life major depressive disorder (MDD) could be classified as having suspected non-Alzheimer’s disease pathophysiology (SNAP) by a negative test for the biomarker amyloid-β (Aβ−) but positive neurodegeneration (ND+). This study aimed to evaluate subthreshold Aβ loads in amyloid-negative MDD, particularly in SNAP MDD patients. This study included 46 amyloid-negative MDD patients: 23 SNAP (Aβ−/ND+) MDD and 23 Aβ−/ND− MDD, and 22 Aβ−/ND− control subjects. All subjects underwent 18F-florbetapir PET, FDG-PET, and MRI. Regions of interest (ROIs) and voxel-wise group comparisons were performed with adjustment for age, gender, and level of education. The SNAP MDD patients exhibited significantly deceased 18F-florbetapir uptakes in most cortical regions but not the parietal and precuneus cortex, as compared with the Aβ−/ND− MDD and control subjects (FDR correction, p < 0.05). No correlations of neuropsychological tests or depression characteristics with global cortical uptakes, but significant positive correlations between cognitive functions and adjusted hippocampal volumes among different groups were observed. The reduced Aβ depositions in the amyloid-negative MDD patients might be attributed mainly to the SNAP MDD patients. Our results indicated that meaningfully low amounts of subclinical Aβ might contain critical information on the non-amyloid-mediated pathogenesis.
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Affiliation(s)
- Kuan-Yi Wu
- Department of Psychiatry, Chang Gung Memorial Hospital, College of Medicine, Chang Gung University, Taoyuan City, Taiwan
| | - Kun-Ju Lin
- Department of Nuclear Medicine, Center for Advanced Molecular Imaging and Translation, Chang Gung Memorial Hospital, Taoyuan City, Taiwan
- Department of Medical Imaging and Radiological Sciences, College of Medicine and Healthy Aging Research Center, Chang Gung University, Taoyuan City, Taiwan
- Neuroscience Research Center, Chang Gung Memorial Hospital, Linkou Medical Center, Taoyuan City, Taiwan
| | - Chia-Hsiang Chen
- Department of Psychiatry, Chang Gung Memorial Hospital, College of Medicine, Chang Gung University, Taoyuan City, Taiwan
| | - Chia-Yih Liu
- Department of Psychiatry, Chang Gung Memorial Hospital, College of Medicine, Chang Gung University, Taoyuan City, Taiwan
| | - Yi-Ming Wu
- Department of Radiology, Chang Gung Memorial Hospital, Taoyuan City, Taiwan
| | - Cheng-Sheng Chen
- Department of Psychiatry, Kaohsiung Medical University Hospital, College of Medicine, Kaohsiung Medical University, Kaohsiung City, Taiwan
| | - Tzu-Chen Yen
- Department of Nuclear Medicine, Center for Advanced Molecular Imaging and Translation, Chang Gung Memorial Hospital, Taoyuan City, Taiwan
- Department of Medical Imaging and Radiological Sciences, College of Medicine and Healthy Aging Research Center, Chang Gung University, Taoyuan City, Taiwan
| | - Ing-Tsung Hsiao
- Department of Nuclear Medicine, Center for Advanced Molecular Imaging and Translation, Chang Gung Memorial Hospital, Taoyuan City, Taiwan
- Department of Medical Imaging and Radiological Sciences, College of Medicine and Healthy Aging Research Center, Chang Gung University, Taoyuan City, Taiwan
- Neuroscience Research Center, Chang Gung Memorial Hospital, Linkou Medical Center, Taoyuan City, Taiwan
- *Correspondence: Ing-Tsung Hsiao,
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10
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Excess tau PET ligand retention in elderly patients with major depressive disorder. Mol Psychiatry 2021; 26:5856-5863. [PMID: 32606373 DOI: 10.1038/s41380-020-0766-9] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/19/2019] [Revised: 04/04/2020] [Accepted: 04/28/2020] [Indexed: 11/08/2022]
Abstract
Depression is one of the common psychiatric disorders in old age. Major depressive disorder (MDD) has been identified as a risk factor or prodrome for neurodegenerative dementias, suggesting neuropathological overlaps and a continuum between MDD and neurodegenerative disorders. In this study, we examined tau and amyloid-β (Aβ) accumulations in the brains of MDD and healthy controls using positron emission tomography (PET) to explore pathological substrates of this illness. Twenty MDD and twenty age-matched, healthy controls were examined by PET with a tau radioligand, [11C]PBB3, and an Aβ radioligand, [11C]PiB. Radioligand retentions were quantified as a standardized uptake value ratio (SUVR). We also assessed clinical manifestations of the patients using the 17-item Hamilton Depression Scale, the Geriatric Depression Scale, and psychotic symptoms. Mean cortical [11C]PBB3 SUVRs in MDD patients were significantly higher than those of healthy controls. These values were higher in MDD patients with psychotic symptoms than in those without any. The present findings indicate that tau depositions may underlie MDD, and especially in patients with psychotic symptoms. PET detection of tau accumulations may provide mechanistic insights into neuronal dysfunctions in these cases and could serve as predictions of their clinical consequences.
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11
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Takamiya A, Vande Casteele T, Koole M, De Winter FL, Bouckaert F, Van den Stock J, Sunaert S, Dupont P, Vandenberghe R, Van Laere K, Vandenbulcke M, Emsell L. Lower regional gray matter volume in the absence of higher cortical amyloid burden in late-life depression. Sci Rep 2021; 11:15981. [PMID: 34354136 PMCID: PMC8342521 DOI: 10.1038/s41598-021-95206-0] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2021] [Accepted: 06/21/2021] [Indexed: 02/07/2023] Open
Abstract
Late-life depression (LLD) is associated with a risk of developing Alzheimer's disease (AD). However, the role of AD-pathophysiology in LLD, and its association with clinical symptoms and cognitive function are elusive. In this study, one hundred subjects underwent amyloid positron emission tomography (PET) imaging with [18F]-flutemetamol and structural MRI: 48 severely depressed elderly subjects (age 74.1 ± 7.5 years, 33 female) and 52 age-/gender-matched healthy controls (72.4 ± 6.4 years, 37 female). The Geriatric Depression Scale (GDS) and Rey Auditory Verbal Learning Test (RAVLT) were used to assess the severity of depressive symptoms and episodic memory function respectively. Amyloid deposition was quantified using the standardized uptake value ratio. Whole-brain voxel-wise comparisons of amyloid deposition and gray matter volume (GMV) between LLD and controls were performed. Multivariate analysis of covariance was conducted to investigate the association of regional differences in amyloid deposition and GMV with clinical factors, including GDS and RAVLT. As a result, there were no significant group differences in amyloid deposition. In contrast, LLD showed significant lower GMV in the left temporal and parietal region. GMV reduction in the left temporal region was associated with episodic memory dysfunction, but not with depression severity. Regional GMV reduction was not associated with amyloid deposition. LLD is associated with lower GMV in regions that overlap with AD-pathophysiology, and which are associated with episodic memory function. The lack of corresponding associations with amyloid suggests that lower GMV driven by non-amyloid pathology may play a central role in the neurobiology of LLD presenting as a psychiatric disorder.Trial registration: European Union Drug Regulating Authorities Clinical Trials identifier: EudraCT 2009-018064-95.
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Affiliation(s)
- Akihiro Takamiya
- grid.5596.f0000 0001 0668 7884Neuropsychiatry, Department of Neurosciences, Leuven Brain Institute, KU Leuven, Leuven, Belgium ,grid.5596.f0000 0001 0668 7884Geriatric Psychiatry, University Psychiatric Center KU Leuven, Leuven, Belgium ,grid.26091.3c0000 0004 1936 9959Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan
| | - Thomas Vande Casteele
- grid.5596.f0000 0001 0668 7884Neuropsychiatry, Department of Neurosciences, Leuven Brain Institute, KU Leuven, Leuven, Belgium ,grid.5596.f0000 0001 0668 7884Geriatric Psychiatry, University Psychiatric Center KU Leuven, Leuven, Belgium
| | - Michel Koole
- grid.5596.f0000 0001 0668 7884Nuclear Medicine and Molecular Imaging, Department of Imaging & Pathology, KU Leuven, Leuven, Belgium
| | - François-Laurent De Winter
- grid.5596.f0000 0001 0668 7884Neuropsychiatry, Department of Neurosciences, Leuven Brain Institute, KU Leuven, Leuven, Belgium ,grid.5596.f0000 0001 0668 7884Geriatric Psychiatry, University Psychiatric Center KU Leuven, Leuven, Belgium
| | - Filip Bouckaert
- grid.5596.f0000 0001 0668 7884Neuropsychiatry, Department of Neurosciences, Leuven Brain Institute, KU Leuven, Leuven, Belgium ,grid.5596.f0000 0001 0668 7884Geriatric Psychiatry, University Psychiatric Center KU Leuven, Leuven, Belgium
| | - Jan Van den Stock
- grid.5596.f0000 0001 0668 7884Neuropsychiatry, Department of Neurosciences, Leuven Brain Institute, KU Leuven, Leuven, Belgium ,grid.5596.f0000 0001 0668 7884Geriatric Psychiatry, University Psychiatric Center KU Leuven, Leuven, Belgium
| | - Stefan Sunaert
- grid.5596.f0000 0001 0668 7884Department of Imaging & Pathology, Translational MRI, KU Leuven, Leuven, Belgium ,grid.410569.f0000 0004 0626 3338Department of Radiology, University Hospitals Leuven (UZ Leuven), Leuven, Belgium
| | - Patrick Dupont
- grid.5596.f0000 0001 0668 7884Department of Neurosciences, Laboratory for Cognitive Neurology, Leuven Brain Institute, KU Leuven, Leuven, Belgium ,grid.5596.f0000 0001 0668 7884Alzheimer Research Centre KU Leuven, Leuven Brain Institute, KU Leuven, Leuven, Belgium
| | - Rik Vandenberghe
- grid.5596.f0000 0001 0668 7884Department of Neurosciences, Laboratory for Cognitive Neurology, Leuven Brain Institute, KU Leuven, Leuven, Belgium ,grid.5596.f0000 0001 0668 7884Alzheimer Research Centre KU Leuven, Leuven Brain Institute, KU Leuven, Leuven, Belgium ,grid.410569.f0000 0004 0626 3338Neurology Department, University Hospitals Leuven (UZ Leuven), Leuven, Belgium
| | - Koen Van Laere
- grid.5596.f0000 0001 0668 7884Nuclear Medicine and Molecular Imaging, Department of Imaging & Pathology, KU Leuven, Leuven, Belgium
| | - Mathieu Vandenbulcke
- grid.5596.f0000 0001 0668 7884Neuropsychiatry, Department of Neurosciences, Leuven Brain Institute, KU Leuven, Leuven, Belgium ,grid.5596.f0000 0001 0668 7884Geriatric Psychiatry, University Psychiatric Center KU Leuven, Leuven, Belgium
| | - Louise Emsell
- grid.5596.f0000 0001 0668 7884Neuropsychiatry, Department of Neurosciences, Leuven Brain Institute, KU Leuven, Leuven, Belgium ,grid.5596.f0000 0001 0668 7884Geriatric Psychiatry, University Psychiatric Center KU Leuven, Leuven, Belgium ,grid.5596.f0000 0001 0668 7884Department of Imaging & Pathology, Translational MRI, KU Leuven, Leuven, Belgium
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12
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Alexopoulos GS. Mechanisms and Treatment of Late-Life Depression. FOCUS (AMERICAN PSYCHIATRIC PUBLISHING) 2021; 19:340-354. [PMID: 34690604 DOI: 10.1176/appi.focus.19304] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
(Appeared originally in Translational Psychiatry 2019; 9:188).
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Affiliation(s)
- George S Alexopoulos
- Weill Cornell Institute of Geriatric Psychiatry, 21 Bloomingdale Road, White Plains, NY 10605, USA
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13
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Taylor WD, Boyd BD, Elson D, Andrews P, Albert K, Vega J, Newhouse PA, Woodward ND, Kang H, Shokouhi S. Preliminary Evidence That Cortical Amyloid Burden Predicts Poor Response to Antidepressant Medication Treatment in Cognitively Intact Individuals With Late-Life Depression. Am J Geriatr Psychiatry 2021; 29:448-457. [PMID: 33032927 PMCID: PMC8004530 DOI: 10.1016/j.jagp.2020.09.019] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/16/2020] [Revised: 09/21/2020] [Accepted: 09/24/2020] [Indexed: 01/01/2023]
Abstract
OBJECTIVE Amyloid accumulation, the pathological hallmark of Alzheimer's disease, may predispose some older adults to depression and cognitive decline. Deposition of amyloid also occurs prior to the development of cognitive decline. It is unclear whether amyloid influences antidepressant outcomes in cognitively intact depressed elders. DESIGN A pharmacoimaging trial utilizing florbetapir (18F) PET scanning followed by 2 sequential 8-week antidepressant medication trials. PARTICIPANTS Twenty-seven depressed elders who were cognitively intact on screening. MEASUREMENTS AND INTERVENTIONS After screening, diagnostic testing, assessment of depression severity and neuropsychological assessment, participants completed florbetapir (18F) PET scanning. They were then randomized to receive escitalopram or placebo for 8 weeks in a double-blinded two-to-one allocation rate. Individuals who did not respond to initial treatment transitioned to a second open-label trial of bupropion for another 8 weeks. RESULTS Compared with 22 amyloid-negative participants, 5 amyloid-positive participants exhibited significantly less change in depression severity and a lower likelihood of remission. In the initial blinded trial, 4 of 5 amyloid-positive participants were nonremitters (80%), while only 18% (4 of 22) of amyloid-negative participants did not remit (p = 0.017; Fisher's Exact test). In separate models adjusting for key covariates, both positive amyloid status (t = 3.07, 21 df, p = 0.003) and higher cortical amyloid binding by standard uptake value ratio (t = 2.62, 21 df, p = 0.010) were associated with less improvement in depression severity. Similar findings were observed when examining change in depression status across both antidepressant trials. CONCLUSIONS In this preliminary study, amyloid status predicted poor antidepressant response to sequential antidepressant treatment. Alternative treatment approaches may be needed for amyloid-positive depressed elders.
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Affiliation(s)
- Warren D Taylor
- The Center for Cognitive Medicine, Department of Psychiatry and Behavioral Sciences (WDT, BDB, PA, KA, JV, PAN, NDW, HK, SS), Vanderbilt University Medical Center, Nashville, TN; Geriatric Research, Education, and Clinical Center (WDT, PAN), Veterans Affairs Tennessee Valley Health System, Nashville, TN.
| | - Brian D Boyd
- The Center for Cognitive Medicine, Department of Psychiatry and Behavioral Sciences (WDT, BDB, PA, KA, JV, PAN, NDW, HK, SS), Vanderbilt University Medical Center, Nashville, TN
| | - Damian Elson
- The Center for Cognitive Medicine, Department of Psychiatry and Behavioral Sciences (WDT, BDB, PA, KA, JV, PAN, NDW, HK, SS), Vanderbilt University Medical Center, Nashville, TN
| | - Patricia Andrews
- The Center for Cognitive Medicine, Department of Psychiatry and Behavioral Sciences (WDT, BDB, PA, KA, JV, PAN, NDW, HK, SS), Vanderbilt University Medical Center, Nashville, TN
| | - Kimberly Albert
- The Center for Cognitive Medicine, Department of Psychiatry and Behavioral Sciences (WDT, BDB, PA, KA, JV, PAN, NDW, HK, SS), Vanderbilt University Medical Center, Nashville, TN
| | - Jennifer Vega
- The Center for Cognitive Medicine, Department of Psychiatry and Behavioral Sciences (WDT, BDB, PA, KA, JV, PAN, NDW, HK, SS), Vanderbilt University Medical Center, Nashville, TN
| | - Paul A Newhouse
- The Center for Cognitive Medicine, Department of Psychiatry and Behavioral Sciences (WDT, BDB, PA, KA, JV, PAN, NDW, HK, SS), Vanderbilt University Medical Center, Nashville, TN; Geriatric Research, Education, and Clinical Center (WDT, PAN), Veterans Affairs Tennessee Valley Health System, Nashville, TN
| | - Neil D Woodward
- The Center for Cognitive Medicine, Department of Psychiatry and Behavioral Sciences (WDT, BDB, PA, KA, JV, PAN, NDW, HK, SS), Vanderbilt University Medical Center, Nashville, TN
| | - Hakmook Kang
- Department of Biostatistics (HK), Vanderbilt University Medical Center, Nashville, TN
| | - Sepideh Shokouhi
- The Center for Cognitive Medicine, Department of Psychiatry and Behavioral Sciences (WDT, BDB, PA, KA, JV, PAN, NDW, HK, SS), Vanderbilt University Medical Center, Nashville, TN
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14
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Mackin RS, Insel PS, Landau S, Bickford D, Morin R, Rhodes E, Tosun D, Rosen HJ, Butters M, Aisen P, Raman R, Saykin A, Toga A, Jack C, Koeppe R, Weiner MW, Nelson C. Late-Life Depression Is Associated With Reduced Cortical Amyloid Burden: Findings From the Alzheimer's Disease Neuroimaging Initiative Depression Project. Biol Psychiatry 2021; 89:757-765. [PMID: 32980132 PMCID: PMC10165941 DOI: 10.1016/j.biopsych.2020.06.017] [Citation(s) in RCA: 48] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/15/2020] [Revised: 05/26/2020] [Accepted: 06/09/2020] [Indexed: 11/12/2022]
Abstract
BACKGROUND We evaluated the role of cortical amyloid deposition as a factor contributing to memory dysfunction and increased risk of dementia associated with late-life depression (LLD). METHODS A total of 119 older adult participants with a current diagnosis of major depression (LLD) from the Alzheimer's Disease Neuroimaging Initiative (ADNI) Depression Project study and 119 nondepressed (ND) cognitively unimpaired participants matched on age, sex, and APOE genotype were obtained from the ADNI database. RESULTS Thirty-three percent of LLD participants met ADNI criteria for mild cognitive impairment. Compared with ND individuals, the LLD group exhibited less global amyloid beta (Aβ) accumulation (p = .05). The proportion of amyloid positivity in the LLD group was 19.3% compared with 31.1% for the ND participants (p = .02). Among LLD participants, global Aβ was not associated with lifetime number of depressive episodes, lifetime length of depression, length of lifetime selective serotonin reuptake inhibitor use, or lifetime length of untreated depression (p > .21 for all). Global Aβ was associated with worse memory performance (p = .05). Similar results were found in secondary analyses restricting comparisons to the cognitively unimpaired LLD participants as well as when comparing the LLD group with an ND group that included participants with mild cognitive impairment. CONCLUSIONS Contrary to expectation, the LLD group showed less Aβ deposition than the ND group and Aβ deposition was not associated with depression history characteristics. Aβ was associated with memory, but this relationship did not differ between LLD and ND. Our results suggest that memory deficits and accelerated cognitive decline reported in previous studies of LLD are not due to greater cortical Aβ accumulation.
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Affiliation(s)
- R Scott Mackin
- Department of Psychiatry, University of California, San Francisco, California; Center for Imaging of Neurodegenerative Diseases, Veterans Administration Medical Center, San Francisco, California.
| | - Philip S Insel
- Department of Psychiatry, University of California, San Francisco, California; Clinical Memory Research Unit, Faculty of Medicine, Lund University, Lund, Sweden.
| | - Susan Landau
- Helen Wills Neuroscience Institute, University of California, Berkeley, California
| | - David Bickford
- Department of Psychiatry, University of California, San Francisco, California
| | - Ruth Morin
- Center for Imaging of Neurodegenerative Diseases, Veterans Administration Medical Center, San Francisco, California
| | - Emma Rhodes
- Center for Imaging of Neurodegenerative Diseases, Veterans Administration Medical Center, San Francisco, California
| | - Duygu Tosun
- Department of Radiology, University of California, San Francisco, California; Center for Imaging of Neurodegenerative Diseases, Veterans Administration Medical Center, San Francisco, California
| | - Howie J Rosen
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, California
| | - Meryl Butters
- Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Paul Aisen
- Department of Neurology, University of Southern California, San Diego, California; Alzheimer's Therapeutic Research Institute, San Diego, California
| | - Rema Raman
- Department of Neurology, University of Southern California, San Diego, California; Alzheimer's Therapeutic Research Institute, San Diego, California
| | - Andrew Saykin
- Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, Indiana
| | - Arthur Toga
- Laboratory of Neuro Imaging, Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, California
| | | | - Robert Koeppe
- Department of Radiology, University of Michigan, Ann Arbor, Michigan
| | - Michael W Weiner
- Department of Psychiatry, University of California, San Francisco, California; Department of Radiology, University of California, San Francisco, California; Center for Imaging of Neurodegenerative Diseases, Veterans Administration Medical Center, San Francisco, California
| | - Craig Nelson
- Department of Psychiatry, University of California, San Francisco, California
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15
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Kim YK, Han KM. Neural substrates for late-life depression: A selective review of structural neuroimaging studies. Prog Neuropsychopharmacol Biol Psychiatry 2021; 104:110010. [PMID: 32544600 DOI: 10.1016/j.pnpbp.2020.110010] [Citation(s) in RCA: 40] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/10/2020] [Revised: 06/05/2020] [Accepted: 06/09/2020] [Indexed: 12/15/2022]
Abstract
Recent neuroimaging studies have characterized the pathophysiology of late-life depression (LLD) as a dysfunction of the brain networks involved in the regulation of emotion, motivational behavior, cognitive control, executive function, and self-referential thinking. In this article, we reviewed LLD-associated structural neuroimaging markers such as white matter hyperintensity (WMH), white matter integrity measured by diffusion tensor imaging, cortical and subcortical volumes, and cortical thickness, which may provide a structural basis for brain network dysfunction in LLD. LLD was associated with greater severity or volumes of deep, periventricular, or overall WMH and with decreased white matter integrity in the brain regions belonging to the fronto-striatal-limbic circuits and reduced white matter tract integrity which connects these circuits, such as the cingulum, corpus callosum, or uncinate fasciculus. Decreased volumes or cortical thickness in the prefrontal cortex, orbitofrontal cortex, anterior and posterior cingulate cortex, several temporal and parietal regions, hippocampus, amygdala, striatum, thalamus, and the insula were associated with LLD. These structural neuroimaging findings were also associated with cognitive dysfunction, which is a prominent clinical feature in LLD. Several structural neuroimaging markers including the WMH burden, white matter integrity, and cortical and subcortical volumes predicted antidepressant response in LLD. These structural neuroimaging findings support the hypothesis that disruption of the brain networks involved in emotion regulation and cognitive processing by impaired structural connectivity is strongly associated with the pathophysiology of LLD.
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Affiliation(s)
- Yong-Ku Kim
- Department of Psychiatry, College of Medicine, Korea University, Seoul, Republic of Korea
| | - Kyu-Man Han
- Department of Psychiatry, College of Medicine, Korea University, Seoul, Republic of Korea.
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16
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β-amyloid pathology is not associated with depression in a large community sample autopsy study. J Affect Disord 2021; 278:372-381. [PMID: 33007627 DOI: 10.1016/j.jad.2020.09.062] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/20/2020] [Revised: 06/06/2020] [Accepted: 09/11/2020] [Indexed: 12/18/2022]
Abstract
BACKGROUND Depression has been associated with dementia. This study aimed to verify if β-amyloid Alzheimer's disease-type burden was associated with lifetime major depressive disorder (MDD) and with current depressive symptoms in a large population-based autopsy study. METHODS We included 1013 deceased subjects submitted to autopsy (mean age=74.3±11.6 years, 49% men) in a community sample. β-amyloid burden was measured in all cases based on the Consortium to Establish a Registry for Alzheimer's Disease (CERAD) criteria for presence and density of neuritic plaques. Lifetime MDD was defined when at least one previous episode according to the Structured Clinical Interview for Diagnostic and Statistical Manual of Mental Disorders - DSM (SCID). Depressive symptoms and cognitive impairment were determined using the depression item of the Neuropsychiatric Inventory (D-NPI>0) and the Clinical Dementia Rating scale (CDR>0.5) respectively. RESULTS Lifetime MDD, late life depression (LLD) and current depressive symptoms were associated with cognitive impairment (p<0.001). Additionally, neuritic plaques were associated with cognitive impairment (p<0.001). Moderate or frequent neurite plaque density was not associated with MDD, LLD or current depressive symptoms in multiple logistic models adjusted for age, gender, and cognitive impairment. LIMITATIONS In this cross-sectional study, all neuropsychiatric and cognitive assessment were based on informant-report of deceased participants. CONCLUSIONS Different clinical depictions of depression were associated with dementia in this large community sample of elderly individuals with multiethnic backgrounds. Notwithstanding, they were unrelated to β-amyloid pathology in the brain areas studied. The link between depression and dementia might be complex and determined by multiple factors.
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Krell-Roesch J, Syrjanen JA, Rakusa M, Vemuri P, Machulda MM, Kremers WK, Mielke MM, Lowe VJ, Jack CR, Knopman DS, Stokin GB, Petersen RC, Vassilaki M, Geda YE. Association of Cortical and Subcortical β-Amyloid With Standardized Measures of Depressive and Anxiety Symptoms in Adults Without Dementia. J Neuropsychiatry Clin Neurosci 2020; 33:64-71. [PMID: 33086924 PMCID: PMC7856245 DOI: 10.1176/appi.neuropsych.20050103] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
OBJECTIVE The purpose of this study was to test the hypothesis that subcortical β-amyloid (Aβ) deposition was associated with elevated scores on standardized measures of depressive and anxiety symptoms when compared with cortical (Aβ) deposition in persons without dementia. METHODS The authors performed a cross-sectional study, derived from the population-based Mayo Clinic Study of Aging, comprising participants aged ≥70 years (N=1,022; 55% males; 28% apolipoprotein E [APOE] ε4 carriers; without cognitive impairment, N=842; mild cognitive impairment; N=180). To assess Aβ deposition in cortical and subcortical (the amygdala, striatum, and thalamus) regions, participants underwent Pittsburgh Compound B positron emission tomography (PiB-PET) and completed the Beck Depression Inventory-II (BDI-II) and the Beck Anxiety Inventory (BAI). The investigators ran linear regression models to examine the association between PiB-PET standardized uptake value ratios (SUVRs) in the neocortex and subcortical regions and depressive and anxiety symptoms (BDI-II and BAI total scores). Models were adjusted for age, sex, education level, and APOE ε4 carrier status and stratified by cognitive status (without cognitive impairment, mild cognitive impairment). RESULTS Cortical PiB-PET SUVRs were associated with depressive symptoms (β=0.57 [SE=0.13], p<0.001) and anxiety symptoms (β=0.34 [SE=0.13], p=0.011). PiB-PET SUVRs in the amygdala were associated only with depressive symptoms (β=0.80 [SE=0.26], p=0.002). PiB-PET SUVRs in the striatum and thalamus were associated with depressive symptoms (striatum: β=0.69 [SE=0.18], p<0.001; thalamus: β=0.61 [SE=0.24], p=0.011) and anxiety symptoms (striatum: β=0.56 [SE=0.18], p=0.002; thalamus: β=0.65 [SE=0.24], p=0.008). In the mild cognitive impairment subsample, Aβ deposition, regardless of neuroanatomic location, was associated with depressive symptoms but not anxiety symptoms. CONCLUSIONS Elevated amyloid deposition in cortical and subcortical brain regions was associated with higher depressive and anxiety symptoms, although these findings did not significantly differ by cortical versus subcortical Aβ deposition. This cross-sectional observation needs to be confirmed by a longitudinal study.
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Affiliation(s)
- Janina Krell-Roesch
- Departments of Health Sciences Research (Krell-Roesch, Syrjanen, Rakusa, Kremers, Mielke, Vassilaki), Radiology (Vemuri, Lowe, Jack), Psychiatry and Psychology (Machulda), and Neurology (Mielke, Knopman, Petersen), Mayo Clinic, Rochester, Minn.; Institute of Sports and Sports Science, Karlsruhe Institute of Technology, Karlsruhe, Germany (Krell-Roesch); Department of Neurology, University Medical Center, Maribor, Slovenia (Rakusa); International Clinical Research Center, St. Anne Hospital, Brno, Czech Republic (Stokin); and Department of Neurology, Barrow Neurological Institute, Phoenix (Geda)
| | - Jeremy A Syrjanen
- Departments of Health Sciences Research (Krell-Roesch, Syrjanen, Rakusa, Kremers, Mielke, Vassilaki), Radiology (Vemuri, Lowe, Jack), Psychiatry and Psychology (Machulda), and Neurology (Mielke, Knopman, Petersen), Mayo Clinic, Rochester, Minn.; Institute of Sports and Sports Science, Karlsruhe Institute of Technology, Karlsruhe, Germany (Krell-Roesch); Department of Neurology, University Medical Center, Maribor, Slovenia (Rakusa); International Clinical Research Center, St. Anne Hospital, Brno, Czech Republic (Stokin); and Department of Neurology, Barrow Neurological Institute, Phoenix (Geda)
| | - Martin Rakusa
- Departments of Health Sciences Research (Krell-Roesch, Syrjanen, Rakusa, Kremers, Mielke, Vassilaki), Radiology (Vemuri, Lowe, Jack), Psychiatry and Psychology (Machulda), and Neurology (Mielke, Knopman, Petersen), Mayo Clinic, Rochester, Minn.; Institute of Sports and Sports Science, Karlsruhe Institute of Technology, Karlsruhe, Germany (Krell-Roesch); Department of Neurology, University Medical Center, Maribor, Slovenia (Rakusa); International Clinical Research Center, St. Anne Hospital, Brno, Czech Republic (Stokin); and Department of Neurology, Barrow Neurological Institute, Phoenix (Geda)
| | - Prashanthi Vemuri
- Departments of Health Sciences Research (Krell-Roesch, Syrjanen, Rakusa, Kremers, Mielke, Vassilaki), Radiology (Vemuri, Lowe, Jack), Psychiatry and Psychology (Machulda), and Neurology (Mielke, Knopman, Petersen), Mayo Clinic, Rochester, Minn.; Institute of Sports and Sports Science, Karlsruhe Institute of Technology, Karlsruhe, Germany (Krell-Roesch); Department of Neurology, University Medical Center, Maribor, Slovenia (Rakusa); International Clinical Research Center, St. Anne Hospital, Brno, Czech Republic (Stokin); and Department of Neurology, Barrow Neurological Institute, Phoenix (Geda)
| | - Mary M Machulda
- Departments of Health Sciences Research (Krell-Roesch, Syrjanen, Rakusa, Kremers, Mielke, Vassilaki), Radiology (Vemuri, Lowe, Jack), Psychiatry and Psychology (Machulda), and Neurology (Mielke, Knopman, Petersen), Mayo Clinic, Rochester, Minn.; Institute of Sports and Sports Science, Karlsruhe Institute of Technology, Karlsruhe, Germany (Krell-Roesch); Department of Neurology, University Medical Center, Maribor, Slovenia (Rakusa); International Clinical Research Center, St. Anne Hospital, Brno, Czech Republic (Stokin); and Department of Neurology, Barrow Neurological Institute, Phoenix (Geda)
| | - Walter K Kremers
- Departments of Health Sciences Research (Krell-Roesch, Syrjanen, Rakusa, Kremers, Mielke, Vassilaki), Radiology (Vemuri, Lowe, Jack), Psychiatry and Psychology (Machulda), and Neurology (Mielke, Knopman, Petersen), Mayo Clinic, Rochester, Minn.; Institute of Sports and Sports Science, Karlsruhe Institute of Technology, Karlsruhe, Germany (Krell-Roesch); Department of Neurology, University Medical Center, Maribor, Slovenia (Rakusa); International Clinical Research Center, St. Anne Hospital, Brno, Czech Republic (Stokin); and Department of Neurology, Barrow Neurological Institute, Phoenix (Geda)
| | - Michelle M Mielke
- Departments of Health Sciences Research (Krell-Roesch, Syrjanen, Rakusa, Kremers, Mielke, Vassilaki), Radiology (Vemuri, Lowe, Jack), Psychiatry and Psychology (Machulda), and Neurology (Mielke, Knopman, Petersen), Mayo Clinic, Rochester, Minn.; Institute of Sports and Sports Science, Karlsruhe Institute of Technology, Karlsruhe, Germany (Krell-Roesch); Department of Neurology, University Medical Center, Maribor, Slovenia (Rakusa); International Clinical Research Center, St. Anne Hospital, Brno, Czech Republic (Stokin); and Department of Neurology, Barrow Neurological Institute, Phoenix (Geda)
| | - Val J Lowe
- Departments of Health Sciences Research (Krell-Roesch, Syrjanen, Rakusa, Kremers, Mielke, Vassilaki), Radiology (Vemuri, Lowe, Jack), Psychiatry and Psychology (Machulda), and Neurology (Mielke, Knopman, Petersen), Mayo Clinic, Rochester, Minn.; Institute of Sports and Sports Science, Karlsruhe Institute of Technology, Karlsruhe, Germany (Krell-Roesch); Department of Neurology, University Medical Center, Maribor, Slovenia (Rakusa); International Clinical Research Center, St. Anne Hospital, Brno, Czech Republic (Stokin); and Department of Neurology, Barrow Neurological Institute, Phoenix (Geda)
| | - Clifford R Jack
- Departments of Health Sciences Research (Krell-Roesch, Syrjanen, Rakusa, Kremers, Mielke, Vassilaki), Radiology (Vemuri, Lowe, Jack), Psychiatry and Psychology (Machulda), and Neurology (Mielke, Knopman, Petersen), Mayo Clinic, Rochester, Minn.; Institute of Sports and Sports Science, Karlsruhe Institute of Technology, Karlsruhe, Germany (Krell-Roesch); Department of Neurology, University Medical Center, Maribor, Slovenia (Rakusa); International Clinical Research Center, St. Anne Hospital, Brno, Czech Republic (Stokin); and Department of Neurology, Barrow Neurological Institute, Phoenix (Geda)
| | - David S Knopman
- Departments of Health Sciences Research (Krell-Roesch, Syrjanen, Rakusa, Kremers, Mielke, Vassilaki), Radiology (Vemuri, Lowe, Jack), Psychiatry and Psychology (Machulda), and Neurology (Mielke, Knopman, Petersen), Mayo Clinic, Rochester, Minn.; Institute of Sports and Sports Science, Karlsruhe Institute of Technology, Karlsruhe, Germany (Krell-Roesch); Department of Neurology, University Medical Center, Maribor, Slovenia (Rakusa); International Clinical Research Center, St. Anne Hospital, Brno, Czech Republic (Stokin); and Department of Neurology, Barrow Neurological Institute, Phoenix (Geda)
| | - Gorazd B Stokin
- Departments of Health Sciences Research (Krell-Roesch, Syrjanen, Rakusa, Kremers, Mielke, Vassilaki), Radiology (Vemuri, Lowe, Jack), Psychiatry and Psychology (Machulda), and Neurology (Mielke, Knopman, Petersen), Mayo Clinic, Rochester, Minn.; Institute of Sports and Sports Science, Karlsruhe Institute of Technology, Karlsruhe, Germany (Krell-Roesch); Department of Neurology, University Medical Center, Maribor, Slovenia (Rakusa); International Clinical Research Center, St. Anne Hospital, Brno, Czech Republic (Stokin); and Department of Neurology, Barrow Neurological Institute, Phoenix (Geda)
| | - Ronald C Petersen
- Departments of Health Sciences Research (Krell-Roesch, Syrjanen, Rakusa, Kremers, Mielke, Vassilaki), Radiology (Vemuri, Lowe, Jack), Psychiatry and Psychology (Machulda), and Neurology (Mielke, Knopman, Petersen), Mayo Clinic, Rochester, Minn.; Institute of Sports and Sports Science, Karlsruhe Institute of Technology, Karlsruhe, Germany (Krell-Roesch); Department of Neurology, University Medical Center, Maribor, Slovenia (Rakusa); International Clinical Research Center, St. Anne Hospital, Brno, Czech Republic (Stokin); and Department of Neurology, Barrow Neurological Institute, Phoenix (Geda)
| | - Maria Vassilaki
- Departments of Health Sciences Research (Krell-Roesch, Syrjanen, Rakusa, Kremers, Mielke, Vassilaki), Radiology (Vemuri, Lowe, Jack), Psychiatry and Psychology (Machulda), and Neurology (Mielke, Knopman, Petersen), Mayo Clinic, Rochester, Minn.; Institute of Sports and Sports Science, Karlsruhe Institute of Technology, Karlsruhe, Germany (Krell-Roesch); Department of Neurology, University Medical Center, Maribor, Slovenia (Rakusa); International Clinical Research Center, St. Anne Hospital, Brno, Czech Republic (Stokin); and Department of Neurology, Barrow Neurological Institute, Phoenix (Geda)
| | - Yonas E Geda
- Departments of Health Sciences Research (Krell-Roesch, Syrjanen, Rakusa, Kremers, Mielke, Vassilaki), Radiology (Vemuri, Lowe, Jack), Psychiatry and Psychology (Machulda), and Neurology (Mielke, Knopman, Petersen), Mayo Clinic, Rochester, Minn.; Institute of Sports and Sports Science, Karlsruhe Institute of Technology, Karlsruhe, Germany (Krell-Roesch); Department of Neurology, University Medical Center, Maribor, Slovenia (Rakusa); International Clinical Research Center, St. Anne Hospital, Brno, Czech Republic (Stokin); and Department of Neurology, Barrow Neurological Institute, Phoenix (Geda)
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Ashford MT, Neuhaus J, Jin C, Camacho MR, Fockler J, Truran D, Mackin RS, Rabinovici GD, Weiner MW, Nosheny RL. Predicting amyloid status using self-report information from an online research and recruitment registry: The Brain Health Registry. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2020; 12:e12102. [PMID: 33005723 PMCID: PMC7513627 DOI: 10.1002/dad2.12102] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/27/2020] [Accepted: 07/30/2020] [Indexed: 12/13/2022]
Abstract
INTRODUCTION This study aimed to predict brain amyloid beta (Aβ) status in older adults using collected information from an online registry focused on cognitive aging. METHODS Aβ positron emission tomography (PET) was obtained from multiple in-clinic studies. Using logistic regression, we predicted Aβ using self-report variables collected in the Brain Health Registry in 634 participants, as well as a subsample (N = 533) identified as either cognitively unimpaired (CU) or mild cognitive impairment (MCI). Cross-validated area under the curve (cAUC) evaluated the predictive performance. RESULTS The best prediction model included age, sex, education, subjective memory concern, family history of Alzheimer's disease, Geriatric Depression Scale Short-Form, self-reported Everyday Cognition, and self-reported cognitive impairment. The cross-validated AUCs ranged from 0.62 to 0.66. This online model could help reduce between 15.2% and 23.7% of unnecessary Aβ PET scans in CU and MCI populations. DISUCSSION The findings suggest that a novel, online approach could aid in Aβ prediction.
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Affiliation(s)
- Miriam T. Ashford
- Northern California Institute for Research and Education (NCIRE)Department of Veterans Affairs Medical CenterSan FranciscoCaliforniaUSA
- Department of Veterans Affairs Medical CenterCenter for Imaging and Neurodegenerative DiseasesSan FranciscoCaliforniaUSA
| | - John Neuhaus
- Department of Epidemiology and BiostatisticsUniversity of California San FranciscoSan FranciscoCaliforniaUSA
| | - Chengshi Jin
- Department of Epidemiology and BiostatisticsUniversity of California San FranciscoSan FranciscoCaliforniaUSA
| | - Monica R. Camacho
- Northern California Institute for Research and Education (NCIRE)Department of Veterans Affairs Medical CenterSan FranciscoCaliforniaUSA
- Department of Veterans Affairs Medical CenterCenter for Imaging and Neurodegenerative DiseasesSan FranciscoCaliforniaUSA
| | - Juliet Fockler
- Department of Veterans Affairs Medical CenterCenter for Imaging and Neurodegenerative DiseasesSan FranciscoCaliforniaUSA
- Department of Radiology and Biomedical ImagingUniversity of CaliforniaSan FranciscoCaliforniaUSA
| | - Diana Truran
- Northern California Institute for Research and Education (NCIRE)Department of Veterans Affairs Medical CenterSan FranciscoCaliforniaUSA
- Department of Veterans Affairs Medical CenterCenter for Imaging and Neurodegenerative DiseasesSan FranciscoCaliforniaUSA
| | - R. Scott Mackin
- Department of Veterans Affairs Medical CenterCenter for Imaging and Neurodegenerative DiseasesSan FranciscoCaliforniaUSA
- Department of PsychiatryUniversity of California San FranciscoSan FranciscoCaliforniaUSA
| | - Gil D. Rabinovici
- Department of Radiology and Biomedical ImagingUniversity of CaliforniaSan FranciscoCaliforniaUSA
- Department of NeurologyUniversity of California San FranciscoSan FranciscoCaliforniaUSA
| | - Michael W. Weiner
- Northern California Institute for Research and Education (NCIRE)Department of Veterans Affairs Medical CenterSan FranciscoCaliforniaUSA
- Department of Veterans Affairs Medical CenterCenter for Imaging and Neurodegenerative DiseasesSan FranciscoCaliforniaUSA
- Department of Radiology and Biomedical ImagingUniversity of CaliforniaSan FranciscoCaliforniaUSA
- Department of PsychiatryUniversity of California San FranciscoSan FranciscoCaliforniaUSA
- Department of NeurologyUniversity of California San FranciscoSan FranciscoCaliforniaUSA
- Department of MedicineUniversity of California San FranciscoSan FranciscoCaliforniaUSA
| | - Rachel L. Nosheny
- Department of Veterans Affairs Medical CenterCenter for Imaging and Neurodegenerative DiseasesSan FranciscoCaliforniaUSA
- Department of PsychiatryUniversity of California San FranciscoSan FranciscoCaliforniaUSA
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Examining the Complicated Relationship Between Depressive Symptoms and Cognitive Impairment in Preclinical Alzheimer Disease. Alzheimer Dis Assoc Disord 2020; 33:15-20. [PMID: 30489279 DOI: 10.1097/wad.0000000000000284] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
INTRODUCTION The relationships between Alzheimer disease (AD), cognitive performance, and depression are poorly understood. It is unclear whether depressive features are a prodrome of AD. In addition, some studies of aging exclude depressed individuals, which may inappropriately limit generalizability. The aim of the present study was to determine whether depressive symptoms affect cognitive function in the context of preclinical AD. METHODS Cross-sectional multivariate analysis of participants in a longitudinal study of aging (n=356) that evaluates the influence of depressive symptoms on cognitive function in cognitively normal adults. RESULTS There is no relationship between the presence of depressive symptoms and cognitive function in those with either no evidence of preclinical AD or biomarker evidence of early-stage preclinical AD. However, in later stages of preclinical AD, the presence of depressive symptoms demonstrated interactive effects, including in episodic memory (0.96; 95% confidence interval, 0.31-1.62) and global cognitive function (0.46; 95% confidence interval, 0.028-0.89). CONCLUSIONS The presence of depressive symptoms may be a late prodrome of AD. In addition, studies investigating cognitive function in older adults may not need to exclude participants with depressive symptomology, but may still consider depressive symptoms as a potential confounder in the context of more extensive neuronal injury.
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Abstract
This article covers current research on the relationship between depression and cognitive impairment in older adults. First, it approaches the clinical assessment of late-life depression and comorbid cognitive impairment. Cognitive risk factors for suicide are discussed. Research is then provided on neuropsychological changes associated with depression, discussing subjective cognitive impairment, mild cognitive impairment, and dementia profiles. In addition, literature regarding neuroimaging and biomarker findings in depressed older adults is presented. Finally, therapeutic models for treatment of late-life depression are discussed, including psychotherapy models, holistic treatments, pharmacologic approaches, and brain stimulation therapies.
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Affiliation(s)
- Ryan D Greene
- Department of Psychology in Psychiatry, Indiana University School of Medicine, Indianapolis, IN, USA; Roudebush VA Medical Center, Indianapolis, IN, USA; University of Indianapolis, Indianapolis, IN, USA.
| | - Alex Cook
- University of Indianapolis, Indianapolis, IN, USA
| | - Dustin Nowaskie
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Sophia Wang
- Roudebush VA Medical Center, Indianapolis, IN, USA; Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN, USA; Center of Health Innovation and Implementation Science, Center for Translational Science and Innovation, Indianapolis, IN, USA; Sandra Eskenazi Center for Brain Care Innovation, Eskenazi Hospital, Indianapolis, IN, USA
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21
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Alexopoulos GS. Mechanisms and treatment of late-life depression. Transl Psychiatry 2019; 9:188. [PMID: 31383842 PMCID: PMC6683149 DOI: 10.1038/s41398-019-0514-6] [Citation(s) in RCA: 284] [Impact Index Per Article: 47.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/01/2018] [Revised: 11/26/2018] [Accepted: 01/01/2019] [Indexed: 01/25/2023] Open
Abstract
Depression predisposes to medical illnesses and advances biological aging indicated by shorter telomere length, accelerated brain aging and advanced epigenetic aging. Medical illnesses also increase the risk of late-life depression. The reciprocal relationships of depression with aging-related and disease-related processes have generated pathogenetic hypotheses and provided treatment targets. Targeting risk factors of vascular disease in mid-life is a logical approach in prevention of vascular depression. The depression-executive dysfunction and the vascular depression syndromes have clinical presentations and neuroimaging findings consistent with frontostriatal abnormalities. Dopamine D2/3 agonists are effective in depression of Parkinson's disease and their efficacy needs to be assessed in these two syndromes. Computerized cognitive remediation targeting functions of the cognitive control network may improve both executive functions and depressive symptoms of late-life major depression. Significant progress has been made in neurostimulation treatments in depressed younger adults. TMS targeting deep structures responsible for mood regulation is well tolerated by older adults and its efficacy in syndromes of late-life depression needs to be studied. Efficacious psychotherapies for late-life depression exist, but are underutilized in part because of their complexity. Streamlined, stepped psychotherapies targeting behaviors assumed to result from dysfunction of brain networks implicated in late-life depression can be easy to learn and have potential for dissemination. However, their effectiveness needs further investigation. Depression increases the risk of dementing disorders. Antidepressants are rather ineffective in treating depression of demented patients, but long-term use of antidepressants may reduce the risk of dementia. However, confirmation studies are needed.
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Affiliation(s)
- George S. Alexopoulos
- 000000041936877Xgrid.5386.8Weill Cornell Institute of Geriatric Psychiatry, 21 Bloomingdale Road, White Plains, NY 10605 USA
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Frederiksen KS, Madsen K, Andersen BB, Beyer N, Garde E, Høgh P, Waldemar G, Hasselbalch SG, Law I. Moderate- to high-intensity exercise does not modify cortical β-amyloid in Alzheimer's disease. ALZHEIMER'S & DEMENTIA (NEW YORK, N. Y.) 2019; 5:208-215. [PMID: 31198839 PMCID: PMC6556817 DOI: 10.1016/j.trci.2019.04.006] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 02/02/2023]
Abstract
INTRODUCTION Animal models of Alzheimer's disease show that exercise may modify β-amyloid (Aβ) deposition. We examined the effect of a 16-week exercise intervention on cortical Aβ in patients with mild-to-moderate Alzheimer's disease. METHODS Thirty-six patients with Alzheimer's disease were randomized to either one hour of aerobic exercise three times weekly for 16 weeks or usual care. Pre and post intervention, 11Carbon-Pittsburgh compound B positron emission tomography was carried out to assess cortical Aβ, and quantified using standardized uptake value rations (SUVRs). RESULTS The intervention showed no effect on follow-up SUVRs in a covariance analysis with group allocation, baseline intervention SUVR, age, sex, and baseline Mini-Mental State Examination as predictors. Change in SUVRs did not correlate with changes in measures of physical or aerobic fitness. DISCUSSION The present findings do not support an effect of exercise on Aβ. However, the relatively short intervention period may account for a lack of efficacy. Further studies should test earlier and longer interventions.
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Affiliation(s)
- Kristian S. Frederiksen
- Danish Dementia Research Centre, Department of Neurology, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
| | - Karine Madsen
- Neurobiology Research Unit, Copenhagen, Denmark
- Department of Clinical Physiology, Nuclear Medicine & PET, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
| | - Birgitte B. Andersen
- Danish Dementia Research Centre, Department of Neurology, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
| | - Nina Beyer
- Musculoskeletal Rehabilitation Research Unit and Institute of Sports Medicine, Bispebjerg Hospital, University of Copenhagen, Copenhagen, Denmark
| | - Ellen Garde
- Danish Research Centre for Magnetic Resonance, Copenhagen University Hospital Hvidovre, Hvidovre, Denmark
- Department of Public Health and Center for Healthy Aging, University of Copenhagen, Copenhagen, Denmark
| | - Peter Høgh
- Zealand University Hospital, Department of Neurology, Roskilde, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Gunhild Waldemar
- Danish Dementia Research Centre, Department of Neurology, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
| | - Steen G. Hasselbalch
- Danish Dementia Research Centre, Department of Neurology, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
| | - Ian Law
- Department of Clinical Physiology, Nuclear Medicine & PET, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
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Salo KI, Scharfen J, Wilden ID, Schubotz RI, Holling H. Confining the Concept of Vascular Depression to Late-Onset Depression: A Meta-Analysis of MRI-Defined Hyperintensity Burden in Major Depressive Disorder and Bipolar Disorder. Front Psychol 2019; 10:1241. [PMID: 31214072 PMCID: PMC6555192 DOI: 10.3389/fpsyg.2019.01241] [Citation(s) in RCA: 33] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2018] [Accepted: 05/10/2019] [Indexed: 12/14/2022] Open
Abstract
Background: The vascular depression hypothesis emphasizes the significance of vascular lesions in late-life depression. At present, no meta-analytic model has investigated whether a difference in hyperintensity burden compared to controls between late-life and late-onset depression is evident. By including a substantial number of studies, focusing on a meaningful outcome measure, and considering several moderating and control variables, the present meta-analysis investigates the severity of hyperintensity burden in major depressive disorder (MDD) and bipolar disorder (BD). A major focus of the present meta-analysis refers to the role of age at illness onset. It is analyzed whether late-onset rather than late-life depression characterizes vascular depression. Method: In total, 68 studies were included in the meta-analysis and a multilevel random effects model was calculated using Hedges' g as the effect size measure. Results: The severity of hyperintensity burden was significantly greater in the patient group compared to the control group. This effect was evident regarding the whole patient group (g = 0.229) as well as both depression subgroups, with a significantly greater effect in BD (g = 0.374) compared to MDD (g = 0.189). Hyperintensity burden was more pronounced in late-onset depression than in early-onset depression or late-life depression. A considerable heterogeneity between the included studies was observed, which is reflected by the large variability in effects sizes. Conclusion: In conclusion, the present meta-analysis underscores the association of hyperintensities with MDD and BD. Especially late-onset depression is associated with an increased hyperintensity burden, which is in line with the vascular depression hypothesis. The results suggest that it might be more feasible to confine the concept of vascular depression specifically to late-onset depression as opposed to late-life depression. Further research is needed to understand the causal mechanisms that might underlie the relation between hyperintensity burden and depression.
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Affiliation(s)
- Katharina I. Salo
- Department of Psychology and Sports Sciences, Institute of Psychology, Westfälische Wilhelms-Universität, Münster, Germany
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Bouckaert F, Emsell L, Vansteelandt K, De Winter FL, Van den Stock J, Obbels J, Dols A, Stek M, Adamczuk K, Sunaert S, Van Laere K, Sienaert P, Vandenbulcke M. Electroconvulsive therapy response in late-life depression unaffected by age-related brain changes. J Affect Disord 2019; 251:114-120. [PMID: 30921594 DOI: 10.1016/j.jad.2019.03.055] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/01/2018] [Revised: 02/25/2019] [Accepted: 03/19/2019] [Indexed: 12/16/2022]
Abstract
BACKGROUND Gray matter volume decrease, white matter vascular pathology and amyloid accumulation are age-related brain changes that have been related to the pathogenesis of late life depression (LLD). Furthermore, lower hippocampal volume and more white matter hyperintensities (WMH) may contribute to poor response to electroconvulsive therapy (ECT) in severely depressed older adults. We hypothesized that the accumulation of age-related brain changes negatively affects outcome following ECT in LLD. METHODS 34 elderly patients with severe LLD were treated twice weekly with ECT until remission. All had both 3T structural magnetic resonance imaging (MRI) and β-amyloid positron emission tomography (PET) imaging using 18F-flutemetamol at baseline. MADRS and MMSE were obtained weekly which included 1 week prior to ECT (T0), after the sixth ECT (T1), and one week (T2) after the last ECT as well as at four weeks (T3) and 6 months (T4) after the last ECT. We conducted a multiple logistic regression analysis and a survival analysis with neuroimaging measures as predictors, and response, remission and relapse as outcome variable. RESULTS We did not find any association between baseline hippocampal volume, white matter hyperintensity volume and total amyloid load and response or remission at 1 and 4 weeks post ECT, nor with relapse at week 4. LIMITATIONS The present exploratory study was conducted at a single center academic hospital, the sample size was small, the focus was on hippocampal volume and the predictive effect of structural and molecular changes associated with aging were used. CONCLUSIONS Our study shows no evidence of relationship between response to ECT and age-related structural or molecular brain changes, implying that ECT can be applied effectively in depressed patients irrespective of accumulating age-related brain changes.
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Affiliation(s)
- Filip Bouckaert
- KU Leuven, University Psychiatric Center KU Leuven, Department of Old Age Psychiatry, Herestraat 49, 3000 Leuven / Leuvensesteenweg 517, 3070 Kortenberg, Belgium.
| | - Louise Emsell
- KU Leuven, University Psychiatric Center KU Leuven, Department of Old Age Psychiatry, Herestraat 49, 3000 Leuven / Leuvensesteenweg 517, 3070 Kortenberg, Belgium; Translational MRI, Department of Imaging and Pathology, KU Leuven, Radiology, University Hospitals Leuven, and University Psychiatric Center KU Leuven, Belgium
| | - Kristof Vansteelandt
- KU Leuven, University Psychiatric Center KU Leuven, Department of Statistics, Herestraat 49, 3000 Leuven / Leuvensesteenweg 517, 3070 Kortenberg, Belgium
| | - François-Laurent De Winter
- KU Leuven, University Psychiatric Center KU Leuven, Department of Old Age Psychiatry, Herestraat 49, 3000 Leuven / Leuvensesteenweg 517, 3070 Kortenberg, Belgium
| | - Jan Van den Stock
- KU Leuven, University Psychiatric Center KU Leuven, Department of Old Age Psychiatry, Herestraat 49, 3000 Leuven / Leuvensesteenweg 517, 3070 Kortenberg, Belgium
| | - Jasmien Obbels
- KU Leuven, University Psychiatric Center KU Leuven, Academic Center for ECT and Neuromodulation (AcCENT), Leuvensesteenweg 517, 3070 Kortenberg, Belgium
| | - Annemieke Dols
- Department of Psychiatry and the EMGO+ Institute for Health and Care Research, VU University Medical Center Amsterdam, the Netherlands
| | - Max Stek
- Department of Psychiatry and the EMGO+ Institute for Health and Care Research, VU University Medical Center Amsterdam, the Netherlands
| | | | - Stefan Sunaert
- Translational MRI, Department of Imaging and Pathology, KU Leuven, Radiology, University Hospitals Leuven, and University Psychiatric Center KU Leuven, Belgium
| | - Koen Van Laere
- Nuclear Medicine and Molecular Imaging, Department of Imaging and Pathology, KU Leuven and University Hospitals Leuven, Belgium
| | - Pascal Sienaert
- KU Leuven, University Psychiatric Center KU Leuven, Academic Center for ECT and Neuromodulation (AcCENT), Leuvensesteenweg 517, 3070 Kortenberg, Belgium
| | - Mathieu Vandenbulcke
- KU Leuven, University Psychiatric Center KU Leuven, Department of Old Age Psychiatry, Herestraat 49, 3000 Leuven / Leuvensesteenweg 517, 3070 Kortenberg, Belgium
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Jamieson A, Goodwill AM, Termine M, Campbell S, Szoeke C. Depression related cerebral pathology and its relationship with cognitive functioning: A systematic review. J Affect Disord 2019; 250:410-418. [PMID: 30878653 DOI: 10.1016/j.jad.2019.03.042] [Citation(s) in RCA: 45] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/07/2018] [Revised: 02/26/2019] [Accepted: 03/04/2019] [Indexed: 01/29/2023]
Abstract
BACKGROUND Depression's relationship with cerebral abnormalities and cognitive decline is temporally dynamic. Despite clear clinical utility, understanding depression's effect on cerebral structures, cognitive impairment and the interaction between these symptoms has had limited consideration. METHODS This review summarised studies examining a clinical depression diagnosis or validated scales measuring depressive symptoms, data concerning amyloid-beta (Aβ) levels, brain structure and function focusing on hippocampal alterations, or white matter hyperintensities (WMH), and at least one validated neuropsychological test. Online database searches of: PsycINFO, EMBASE, MEDLINE, and Scopus were conducted to identify potential articles. RESULTS While depression was consistently associated with cross-sectionally cognitive decline across multiple domains, the neuropathological basis of this dysfunction remained unclear. Hippocampal, frontal, and limbic dysfunction as well as cortical thinning, WMH, and Aβ burden all provide inconsistent findings, likely due to depression subtypes. The consistency of these findings additionally decreases when examining this relationship longitudinally, as these results are further confounded by pre-dementia states. The therapeutic interventions examined were more efficacious in the younger compared with the older samples, who were characterised by greater WMH and Aβ burden. LIMITATIONS The limited number of longitudinal and interventional studies in addition to the heterogeneity of the samples restricts their generalisability. CONCLUSIONS Symptomatological differences between early-onset and late-onset depression (EOD and LOD) appear crucial in understanding whether late-life depression is the primary or secondary source of cerebral pathology. Though severe cognitive impairments and clearer neuropathological underpinnings are more characteristic of LOD than EOD, the inconsistency of valid biomarkers remains problematic.
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Affiliation(s)
- Alec Jamieson
- Centre for Medical Research, Royal Melbourne Hospital, Faculty of Medicine Dentistry and Health Sciences, University of Melbourne, Parkville, Victoria, Australia
| | - Alicia M Goodwill
- Centre for Medical Research, Royal Melbourne Hospital, Faculty of Medicine Dentistry and Health Sciences, University of Melbourne, Parkville, Victoria, Australia; Healthy Brain Initiative, Faculty of Health Sciences, Australian Catholic University, Melbourne, Victoria, Australia
| | - Mario Termine
- Centre for Medical Research, Royal Melbourne Hospital, Faculty of Medicine Dentistry and Health Sciences, University of Melbourne, Parkville, Victoria, Australia
| | - Stephen Campbell
- Australian Healthy Ageing Organisation (AHAO), Parkville, Victoria, Australia
| | - Cassandra Szoeke
- Centre for Medical Research, Royal Melbourne Hospital, Faculty of Medicine Dentistry and Health Sciences, University of Melbourne, Parkville, Victoria, Australia; Healthy Brain Initiative, Faculty of Health Sciences, Australian Catholic University, Melbourne, Victoria, Australia; Australian Healthy Ageing Organisation (AHAO), Parkville, Victoria, Australia.
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26
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Patterson L, Rushton SP, Attems J, Thomas AJ, Morris CM. Degeneration of dopaminergic circuitry influences depressive symptoms in Lewy body disorders. Brain Pathol 2019; 29:544-557. [PMID: 30582885 PMCID: PMC6767514 DOI: 10.1111/bpa.12697] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2018] [Accepted: 12/06/2018] [Indexed: 12/14/2022] Open
Abstract
Aims Depression is commonly observed even in prodromal stages of Lewy body disorders (LBD), and is associated with cognitive impairment and a faster rate of cognitive decline. Given the role of dopamine in the development of movement disorders, but also in motivation and reward, we investigated neurodegenerative pathology in dopaminergic circuitry in Parkinson's disease (PD), PD with dementia (PDD) and dementia with Lewy bodies (DLB) patients in relation to depressive symptoms. Methods α‐synuclein, hyperphosphorylated tau and amyloid‐beta pathology was assessed in 17 DLB, 14 PDD and 8 PD cases within striatal and midbrain subregions, with neuronal cell density assessed in substantia nigra and ventral tegmental area. Additionally, we used a structural equation modeling (SEM) approach to investigate the extent to which brain connectivity might influence the deposition of pathological proteins within dopaminergic pathways. Results A significantly higher α‐synuclein burden was observed in the substantia nigra (P = 0.006), ventral tegmental area (P = 0.011) and nucleus accumbens (P = 0.031) in LBD patients with depression. Significant negative correlations were observed between cell density in substantia nigra with Lewy body (LB) Braak stage (P = 0.013), whereas cell density in ventral tegmental area showed negative correlations with LB Braak stage (P = 0.026) and neurofibrillary tangle Braak stage (P = 0.007). Conclusions Dopaminergic α‐synuclein pathology appears to drive depression. Selective targeting of dopaminergic pathways may therefore provide symptomatic relief for depressive symptoms in LBD patients.
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Affiliation(s)
- Lina Patterson
- Alzheimer's Society Doctoral Training Centre, Newcastle University, Campus for Ageing and Vitality, Newcastle upon Tyne, UK
| | - Steven P Rushton
- School of Biology, Newcastle University, Ridley Building, Newcastle upon Tyne, UK
| | - Johannes Attems
- Alzheimer's Society Doctoral Training Centre, Newcastle University, Campus for Ageing and Vitality, Newcastle upon Tyne, UK.,Newcastle upon Tyne Hospitals NHS Foundation Trust, Newcastle-upon-Tyne, UK
| | - Alan J Thomas
- Alzheimer's Society Doctoral Training Centre, Newcastle University, Campus for Ageing and Vitality, Newcastle upon Tyne, UK.,Gateshead Health NHS Foundation Trust, Queen Elizabeth Hospital, Gateshead, UK
| | - Christopher M Morris
- NIHR Biomedical Research Centre Newcastle, Biomedical Research Building, Newcastle University, Campus for Ageing and Vitality, Newcastle upon Tyne, UK
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Conejero I, Navucet S, Keller J, Olié E, Courtet P, Gabelle A. A Complex Relationship Between Suicide, Dementia, and Amyloid: A Narrative Review. Front Neurosci 2018; 12:371. [PMID: 29910709 PMCID: PMC5992441 DOI: 10.3389/fnins.2018.00371] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2018] [Accepted: 05/14/2018] [Indexed: 12/26/2022] Open
Abstract
Background: Suicide rates are high among older adults and many conditions have been related to suicide in this population: chronic illnesses, physical disabilities, cancer, social isolation, mental disorders and neurocognitive disorders. Objectives: Among neurocognitive disorders, analysis of the relationships between dementia and suicidal behaviors led to conflicting results and some questions are still without answer. Particularly, it is not known whether (i) Alzheimer's disease (AD) increases the risk of suicidal ideation and suicide attempts (SA) or the frequency of death by suicide; (ii) the presence of suicidal ideation or SA in people older than 65 years of age is an early dementia sign; and (iii) amyloid load in frontal areas facilitates SA by modifying the decision-making pathway. Methods: Therefore, in this narrative review, we searched the PubMed database using the medical subject heading (MeSH) terms (“Suicide” AND “Depression”) OR (“Amyloid” OR “Dementia”) to identify recent (from 2000 to 2017) original studies on the links between suicidal behavior, dementia and brain amyloid load. We also explored the clinical and pathophysiological role of depression in these relationships. Results and Discussion: The findings from these studies suggest that late stage dementia could protect against suicidal ideation and SA. Conversely, the risk of complete suicide is increased during the early phase of cognitive decline. Conclusions: Serious cognitive impairment and decline of executive functions could protect against negative thoughts related to cognitive disability awareness and against suicide planning.Several factors, including brain amyloid load, could be involved in the increased suicide rate early after the diagnosis of dementia.
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Affiliation(s)
- Ismael Conejero
- Department of Psychiatry, Caremeau Hospital, University Hospital of Nîmes, Nîmes, France.,Inserm U1061, Neuropsychiatry: Epidemiological and Clinical Research, La Colombière Hospital, University of Montpellier, Montpellier, France.,Centre de Biochimie Structurale, University of Montpellier, Montpellier, France
| | - Sophie Navucet
- Department of Montpellier, Memory Resources Research Center, Gui De Chauliac Hospital, University of Montpellier, Montpellier, France
| | - Jacques Keller
- Department of Montpellier, Memory Resources Research Center, Gui De Chauliac Hospital, University of Montpellier, Montpellier, France
| | - Emilie Olié
- Inserm U1061, Neuropsychiatry: Epidemiological and Clinical Research, La Colombière Hospital, University of Montpellier, Montpellier, France.,Department of Psychiatric Emergency and Post-Acute Care, Lapeyronie Hospital, University of Montpellier, Montpellier, France
| | - Philippe Courtet
- Inserm U1061, Neuropsychiatry: Epidemiological and Clinical Research, La Colombière Hospital, University of Montpellier, Montpellier, France.,Department of Psychiatric Emergency and Post-Acute Care, Lapeyronie Hospital, University of Montpellier, Montpellier, France
| | - Audrey Gabelle
- Inserm U1061, Neuropsychiatry: Epidemiological and Clinical Research, La Colombière Hospital, University of Montpellier, Montpellier, France.,Department of Montpellier, Memory Resources Research Center, Gui De Chauliac Hospital, University of Montpellier, Montpellier, France
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28
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Abstract
This article covers current research on the relationship between depression and cognitive impairment in older adults. First, it approaches the clinical assessment of late-life depression and comorbid cognitive impairment. Cognitive risk factors for suicide are discussed. Research is then provided on neuropsychological changes associated with depression, discussing subjective cognitive impairment, mild cognitive impairment, and dementia profiles. Additionally, literature regarding neuroimaging and biomarker findings in depressed older adults is presented. Finally, therapeutic models for treatment of late-life depression are also discussed, including psychotherapy models, holistic treatments, pharmacologic approaches, and brain-stimulation therapies.
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29
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State-dependent alterations in cerebrospinal fluid Aβ42 levels in cognitively intact elderly with late-life major depression. Neuroreport 2018; 27:1068-71. [PMID: 27508979 DOI: 10.1097/wnr.0000000000000658] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
Abstract
Depression has been linked to Alzheimer's disease as either an increased risk factor for its development or as a prodromal symptom. The neurobiological basis for such an association, however, remains poorly understood. Numerous studies have examined whether changes in amyloid beta (Aβ) metabolism, which are implicated in the pathogenesis of Alzheimer's disease, are also found in depression. In this paper, we investigated the relationship between depressive symptoms and cerebrospinal fluid (CSF) Aβ indices in otherwise healthy, cognitively normal elderly with late-life major depression (LLMD) and controls using a longitudinal approach, which is a novel contribution toward the literature. Significantly lower levels of CSF Aβ42 were observed in the LLMD group at baseline and were associated with more severe depressive symptoms. During longitudinal follow-up, the depressed group remained cognitively unchanged, but was significantly less depressed than at baseline. A greater improvement in depressive symptoms was associated with increases in CSF Aβ42 levels in both groups. Increases in CSF Aβ42 and Aβ40 were also associated with increased CSF total-tau levels. Our results suggest that LLMD may be associated with state-dependent effects of CSF Aβ42 levels. Future studies should determine whether the association reflects state-dependent changes in neuronal activity and/or brain amyloid burden in depression.
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Harrington KD, Gould E, Lim YY, Ames D, Pietrzak RH, Rembach A, Rainey-Smith S, Martins RN, Salvado O, Villemagne VL, Rowe CC, Masters CL, Maruff P. Amyloid burden and incident depressive symptoms in cognitively normal older adults. Int J Geriatr Psychiatry 2017; 32:455-463. [PMID: 27114112 DOI: 10.1002/gps.4489] [Citation(s) in RCA: 40] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/19/2015] [Revised: 01/18/2016] [Accepted: 03/15/2016] [Indexed: 12/23/2022]
Abstract
OBJECTIVE Several studies have reported that non-demented older adults with clinical depression show changes in amyloid-β (Aβ) levels in blood, cerebrospinal fluid and on neuroimaging that are consistent with those observed in patients with Alzheimer's disease. These findings suggest that Aβ may be one of the mechanisms underlying the relation between the two conditions. We sought to determine the relation between elevated cerebral Aβ and the presence of depression across a 54-month prospective observation period. METHODS Cognitively normal older adults from the Australian Imaging Biomarkers and Lifestyle study who were not depressed and had undergone a positron emission tomography scan to classify them as either high Aβ (n = 81) or low Aβ (n = 278) participated. Depressive symptoms were assessed using the Geriatric Depression Scale - Short Form at 18-month intervals over 54 months. RESULTS Whilst there was no difference in probable depression between groups at baseline, incidence was 4.5 (95% confidence interval [CI] 1.3-16.4) times greater within the high Aβ group (9%) than the low Aβ group (2%) by the 54-month assessment. CONCLUSIONS Results of this study suggest that elevated Aβ levels are associated with a 4.5-fold increased likelihood of developing clinically significant depressive symptoms on follow-up in preclinical Alzheimer's disease. This underscores the importance of assessing, monitoring and treating depressive symptoms in older adults with elevated Aβ. Copyright © 2016 John Wiley & Sons, Ltd.
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Affiliation(s)
- Karra D Harrington
- School of Psychology, Deakin University, Geelong, Victoria, Australia.,Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Parkville, Victoria, Australia.,Academic Unit for Psychiatry of Old Age, Department of Psychiatry, The University of Melbourne, Parkville, Victoria, Australia
| | - Emma Gould
- School of Psychology, Deakin University, Geelong, Victoria, Australia
| | - Yen Ying Lim
- Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Parkville, Victoria, Australia
| | - David Ames
- Academic Unit for Psychiatry of Old Age, Department of Psychiatry, The University of Melbourne, Parkville, Victoria, Australia.,National Ageing Research Institute, Parkville, Victoria, Australia
| | - Robert H Pietrzak
- United States Department of Veterans Affairs, National Center for Posttraumatic Stress Disorder, Clinical Neurosciences Division, VA Connecticut Healthcare System, West Haven, CT, USA.,Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
| | - Alan Rembach
- Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Parkville, Victoria, Australia
| | - Stephanie Rainey-Smith
- Centre of Excellence for Alzheimer's Disease Research and Care, School of Exercise, Biomedical and Health Sciences, Edith Cowan University, Perth, WA, Australia.,Sir James McCusker Alzheimer's Disease Research Unit, Hollywood Private Hospital, Nedlands, Western Australia, Australia
| | - Ralph N Martins
- Centre of Excellence for Alzheimer's Disease Research and Care, School of Exercise, Biomedical and Health Sciences, Edith Cowan University, Perth, WA, Australia.,Sir James McCusker Alzheimer's Disease Research Unit, Hollywood Private Hospital, Nedlands, Western Australia, Australia
| | - Olivier Salvado
- CSIRO Preventative Health National Research Flagship, The Australian e-Health Research Centre-BioMedIA, Herston, Queensland, Australia
| | - Victor L Villemagne
- Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Parkville, Victoria, Australia.,Department of Nuclear Medicine, Centre for PET, Austin Health, Heidelberg, VIC, Australia.,Department of Medicine, Austin Health, The University of Melbourne, Heidelberg, Victoria, Australia
| | - Christopher C Rowe
- Department of Nuclear Medicine, Centre for PET, Austin Health, Heidelberg, VIC, Australia.,Department of Medicine, Austin Health, The University of Melbourne, Heidelberg, Victoria, Australia
| | - Colin L Masters
- Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Parkville, Victoria, Australia
| | - Paul Maruff
- Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Parkville, Victoria, Australia.,CogState Ltd., Melbourne, Victoria, Australia
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Roseborough A, Ramirez J, Black SE, Edwards JD. Associations between amyloid β and white matter hyperintensities: A systematic review. Alzheimers Dement 2017; 13:1154-1167. [PMID: 28322203 DOI: 10.1016/j.jalz.2017.01.026] [Citation(s) in RCA: 94] [Impact Index Per Article: 11.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2016] [Revised: 01/27/2017] [Accepted: 01/30/2017] [Indexed: 11/25/2022]
Abstract
INTRODUCTION This systematic review synthesizes current evidence for associations between cortical amyloid β, visualized on amyloid positron emission tomography imaging, and white matter hyperintensity (WMH) burden on magnetic resonance imaging in healthy elderly adults and individuals with cognitive impairment and dementia. METHODS Following Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) systematic review guidelines, we systematically searched MEDLINE, Embase, Cochrane, and PsycINFO databases from January 2000 to September 2015. RESULTS Our search returned 492 articles, 34 of which met criteria for inclusion in the final selection. Most studies reported no significant relationships between amyloid β and WMH burden across diagnostic groups. DISCUSSION Findings of this systematic review suggest that amyloid accumulation and WMH are independent but additive processes. The limited number of independent cohorts, lack of longitudinal data, and exclusion of individuals with mixed dementia limit the generalizability of these findings. Further studies are required to elucidate the putative contributions of vascular processes to neurodegenerative pathology.
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Affiliation(s)
- Austyn Roseborough
- LC Campbell Cognitive Neurology Research Unit, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, Toronto, Ontario, Canada
| | - Joel Ramirez
- LC Campbell Cognitive Neurology Research Unit, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, Toronto, Ontario, Canada; Heart & Stroke Foundation Canadian Partnership for Stroke Recovery, Toronto, Ontario, Canada
| | - Sandra E Black
- LC Campbell Cognitive Neurology Research Unit, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, Toronto, Ontario, Canada; Heart & Stroke Foundation Canadian Partnership for Stroke Recovery, Toronto, Ontario, Canada; Department of Medicine, Neurology, University of Toronto and Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
| | - Jodi D Edwards
- LC Campbell Cognitive Neurology Research Unit, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, Toronto, Ontario, Canada; Heart & Stroke Foundation Canadian Partnership for Stroke Recovery, Toronto, Ontario, Canada.
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32
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Hammers DB, Atkinson TJ, Dalley BCA, Suhrie KR, Beardmore BE, Burrell LD, Horn KP, Rasmussen KM, Foster NL, Duff K, Hoffman JM. Relationship between 18F-Flutemetamol uptake and RBANS performance in non-demented community-dwelling older adults. Clin Neuropsychol 2017; 31:531-543. [PMID: 28077020 DOI: 10.1080/13854046.2016.1278039] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
OBJECTIVE The Repeatable Battery for the Assessment of Neuropsychological Status (RBANS) has been used extensively for clinical care and in research for patients with mild cognitive impairment and Alzheimer's disease (AD); however, relatively few studies have evaluated the relationship between RBANS performance and AD imaging biomarkers. The purpose of the current study was to evaluate the association between a relatively new amyloid positron emission tomography imaging biomarker and performance on the RBANS. METHODS Twenty-seven nondemented community-dwelling adults over the age of 65 underwent 18F-Flutemetamol amyloid- positron emission tomography imaging, along with cognitive testing using the RBANS and select behavioral measures. Partial correlation coefficients were used to identify relationships between the imaging and behavioral markers. RESULTS After controlling for age and education, amyloid deposition and RBANS Indexes of Immediate Memory, Delayed Memory, and Total Scale score were significantly correlated (p's < .001, r's = -.73 to -.77, d's = 2.13-2.39), with greater amyloid burden being associated with lower RBANS scores. The Delayed Memory Index was particularly highly associated with 18F-Flutemetamol binding (r2 = .59, p < .001, d = 2.39). Neither 18F-Flutemetamol binding nor RBANS performance was significantly correlated with levels of depression, subjective cognitive difficulties, or premorbid intellect. CONCLUSIONS Because of the limited use of amyloid imaging in clinical settings due to high cost and lack of reimbursement, these findings suggest that in particular RBANS Delayed Memory Index may be a cost-efficient tool to identify early signs of AD pathology, and its use may enlighten clinical decision-making regarding potential progression to dementia due to AD.
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Affiliation(s)
- Dustin B Hammers
- a Department of Neurology, Center for Alzheimer's Care, Imaging, and Research , University of Utah , Salt Lake City , UT , USA
| | - Taylor J Atkinson
- a Department of Neurology, Center for Alzheimer's Care, Imaging, and Research , University of Utah , Salt Lake City , UT , USA
| | - Bonnie C A Dalley
- a Department of Neurology, Center for Alzheimer's Care, Imaging, and Research , University of Utah , Salt Lake City , UT , USA
| | - Kayla R Suhrie
- a Department of Neurology, Center for Alzheimer's Care, Imaging, and Research , University of Utah , Salt Lake City , UT , USA
| | - Britney E Beardmore
- b Center for Quantitative Cancer Imaging, Huntsman Cancer Institute , University of Utah , Salt Lake City , UT , USA
| | - Lance D Burrell
- b Center for Quantitative Cancer Imaging, Huntsman Cancer Institute , University of Utah , Salt Lake City , UT , USA
| | - Kevin P Horn
- b Center for Quantitative Cancer Imaging, Huntsman Cancer Institute , University of Utah , Salt Lake City , UT , USA
| | - Kelli M Rasmussen
- b Center for Quantitative Cancer Imaging, Huntsman Cancer Institute , University of Utah , Salt Lake City , UT , USA
| | - Norman L Foster
- a Department of Neurology, Center for Alzheimer's Care, Imaging, and Research , University of Utah , Salt Lake City , UT , USA
| | - Kevin Duff
- a Department of Neurology, Center for Alzheimer's Care, Imaging, and Research , University of Utah , Salt Lake City , UT , USA
| | - John M Hoffman
- b Center for Quantitative Cancer Imaging, Huntsman Cancer Institute , University of Utah , Salt Lake City , UT , USA
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Byun MS, Choe YM, Sohn BK, Yi D, Han JY, Park J, Choi HJ, Baek H, Lee JH, Kim HJ, Kim YK, Yoon EJ, Sohn CH, Woo JI, Lee DY. Association of Cerebral Amyloidosis, Blood Pressure, and Neuronal Injury with Late-Life Onset Depression. Front Aging Neurosci 2016; 8:236. [PMID: 27790137 PMCID: PMC5061734 DOI: 10.3389/fnagi.2016.00236] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2016] [Accepted: 09/23/2016] [Indexed: 01/14/2023] Open
Abstract
Previous literature suggests that Alzheimer's disease (AD) process may contribute to late-life onset depression (LLOD). Therefore, we investigated the association of LLOD with cerebral amyloidosis and neuronal injury, the two key brain changes in AD, along with vascular risks. Twenty nine non-demented individuals who first experienced major depressive disorder (MDD) after age of 60 years were included as LLOD subjects, and 27 non-demented elderly individuals without lifetime experience of MDD were included as normal controls (NC). Comorbid mild cognitive impairment (MCI) was diagnosed in 48% of LLOD subjects and in 0% of NC. LLOD, irrespective of comorbid MCI diagnosis, was associated with prominent prefrontal cortical atrophy. Compared to NC, LLOD subjects with comorbid MCI (LLODMCI) showed increased cerebral 11C-Pittsburg compound B (PiB) retention and plasma beta-amyloid 1–40 and 1–42 peptides, as measures of cerebral amyloidosis; and, such relationship was not observed in overall LLOD or LLOD without MCI (LLODwoMCI). LLOD subjects, particularly the LLODwoMCI, had higher systolic blood pressure (SBP) than NC. When analyzed in the same multiple logistic regression model that included prefrontal gray matter (GM) density, cerebral amyloidosis, and SBP as independent variables, only prefrontal GM density showed a significant independent association with LLOD regardless of MCI comorbidity status. Our findings suggest AD process might be related to LLOD via prefrontal neuronal injury in the MCI stage, whereas vascular processes—SBP elevation, in particular—are associated with LLOD via prefrontal neuronal injury even in cognitively intact or less impaired individuals.
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Affiliation(s)
- Min Soo Byun
- Institute of Human Behavioral Medicine, Medical Research Center, Seoul National University Seoul, South Korea
| | - Young Min Choe
- Department of Neuropsychiatry, Ulsan University Hospital Ulsan, South Korea
| | - Bo Kyung Sohn
- Department of Neuropsychiatry, Seoul Metropolitan Government-Seoul National University Boramae Medical Center Seoul, South Korea
| | - Dahyun Yi
- Institute of Human Behavioral Medicine, Medical Research Center, Seoul National University Seoul, South Korea
| | - Ji Young Han
- Department of Neuropsychiatry, Seoul National University Hospital Seoul, South Korea
| | - Jinsick Park
- Department of Biomedical Engineering, Hanyang University Seoul, South Korea
| | - Hyo Jung Choi
- Department of Neuropsychiatry, Seoul National University Hospital Seoul, South Korea
| | - Hyewon Baek
- Department of Neuropsychiatry, Kyunggi Provincial Hospital for the Elderly Yongin, South Korea
| | - Jun Ho Lee
- Department of Neuropsychiatry, Seoul National University Hospital Seoul, South Korea
| | - Hyun Jung Kim
- Department of Neuropsychiatry, Changsan Convalescent Hospital Changwon, South Korea
| | - Yu Kyeong Kim
- Department of Nuclear Medicine, Seoul Metropolitan Government-Seoul National University Boramae Medical Center Seoul, South Korea
| | - Eun Jin Yoon
- Department of Nuclear Medicine, Seoul Metropolitan Government-Seoul National University Boramae Medical Center Seoul, South Korea
| | - Chul-Ho Sohn
- Department of Radiology, Seoul National University Hospital Seoul, South Korea
| | - Jong Inn Woo
- Department of Psychiatry, Seoul National University College of Medicine Seoul, South Korea
| | - Dong Young Lee
- Institute of Human Behavioral Medicine, Medical Research Center, Seoul National UniversitySeoul, South Korea; Department of Neuropsychiatry, Seoul National University HospitalSeoul, South Korea; Department of Psychiatry, Seoul National University College of MedicineSeoul, South Korea
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34
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Wu KY, Liu CY, Chen CS, Chen CH, Hsiao IT, Hsieh CJ, Lee CP, Yen TC, Lin KJ. Beta-amyloid deposition and cognitive function in patients with major depressive disorder with different subtypes of mild cognitive impairment: (18)F-florbetapir (AV-45/Amyvid) PET study. Eur J Nucl Med Mol Imaging 2016; 43:1067-76. [PMID: 26739329 DOI: 10.1007/s00259-015-3291-3] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2015] [Accepted: 12/10/2015] [Indexed: 11/30/2022]
Abstract
PURPOSE The objective of this study was to evaluate the amyloid burden, as assessed by (18)F-florbetapir (AV-45/Amyvid) positron emission tomography PET, in patients with major depressive disorder (MDD) with different subtypes of mild cognitive impairment (MCI) and the relationship between amyloid burden and cognition in MDD patients. METHODS The study included 55 MDD patients without dementia and 21 healthy control subjects (HCs) who were assessed using a comprehensive cognitive test battery and (18)F-florbetapir PET imaging. The standardized uptake value ratios (SUVR) in eight cortical regions using the whole cerebellum as reference region were determined and voxel-wise comparisons between the HC and MDD groups were performed. Vascular risk factors, serum homocysteine level and the apolipoprotein E (ApoE) genotype were also determined. RESULTS Among the 55 MDD patients, 22 (40.0 %) had MCI, 12 (21.8 %) non-amnestic MCI (naMCI) and 10 (18.2 %) amnestic MCI (aMCI). The MDD patients with aMCI had the highest relative (18)F-florbetapir uptake in all cortical regions, and a significant difference in relative (18)F-florbetapir uptake was found in the parietal region as compared with that in naMCI subjects (P < 0.05) and HCs (P < 0.01). Voxel-wise analyses revealed significantly increased relative (18)F-florbetapir uptake in the MDD patients with aMCI and naMCI in the frontal, parietal, temporal and occipital areas (P < 0.005). The global cortical SUVR was significantly negatively correlated with MMSE score (r = -0.342, P = 0.010) and memory function (r = -0.328, P = 0.015). The negative correlation between the global SUVR and memory in the MDD patients remained significant in multiple regression analyses that included age, educational level, ApoE genotype, and depression severity (β = -3.607, t = -2.874, P = 0.006). CONCLUSION We found preliminary evidence of brain beta-amyloid deposition in MDD patients with different subtypes of MCI. Our findings in MDD patients support the hypothesis that a higher amyloid burden is associated with a poorer memory performance. We also observed a high prevalence of MCI among elderly depressed patients, and depressed patients with MCI exhibited heterogeneously elevated (18)F-florbetapir retention as compared with depressed patients without MCI. The higher amyloid burden in the aMCI patients suggests that these patients may also be more likely to develop Alzheimer's disease than other patients diagnosed with major depression.
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Affiliation(s)
- Kuan-Yi Wu
- Department of Psychiatry, Chang Gung Memorial Hospital and Chang Gung University, Tao-Yuan, Taiwan
| | - Chia-Yih Liu
- Department of Psychiatry, Chang Gung Memorial Hospital and Chang Gung University, Tao-Yuan, Taiwan
| | - Cheng-Sheng Chen
- Department of Psychiatry, Kaohsiung Medical University Hospital and College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Chia-Hsiang Chen
- Department of Psychiatry, Chang Gung Memorial Hospital and Chang Gung University, Tao-Yuan, Taiwan
| | - Ing-Tsung Hsiao
- Department of Nuclear Medicine and Molecular Imaging Center, Chang Gung Memorial Hospital, 5. Fu-Hsing Street, Kuei Shan Hsiang, Taoyuan, Taiwan.,Department of Medical Imaging and Radiological Sciences and Healthy Aging Research Center, Chang Gung University, Tao-Yuan, Taiwan
| | - Chia-Ju Hsieh
- Department of Nuclear Medicine and Molecular Imaging Center, Chang Gung Memorial Hospital, 5. Fu-Hsing Street, Kuei Shan Hsiang, Taoyuan, Taiwan.,Department of Medical Imaging and Radiological Sciences and Healthy Aging Research Center, Chang Gung University, Tao-Yuan, Taiwan
| | - Chin-Pang Lee
- Department of Psychiatry, Chang Gung Memorial Hospital and Chang Gung University, Tao-Yuan, Taiwan
| | - Tzu-Chen Yen
- Department of Nuclear Medicine and Molecular Imaging Center, Chang Gung Memorial Hospital, 5. Fu-Hsing Street, Kuei Shan Hsiang, Taoyuan, Taiwan.,Department of Medical Imaging and Radiological Sciences and Healthy Aging Research Center, Chang Gung University, Tao-Yuan, Taiwan
| | - Kun-Ju Lin
- Department of Nuclear Medicine and Molecular Imaging Center, Chang Gung Memorial Hospital, 5. Fu-Hsing Street, Kuei Shan Hsiang, Taoyuan, Taiwan. .,Department of Medical Imaging and Radiological Sciences and Healthy Aging Research Center, Chang Gung University, Tao-Yuan, Taiwan.
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Plasma and cerebrospinal fluid amyloid-β levels in late-life depression: A systematic review and meta-analysis. J Psychiatr Res 2015; 69:35-41. [PMID: 26343592 PMCID: PMC5102150 DOI: 10.1016/j.jpsychires.2015.07.024] [Citation(s) in RCA: 50] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/07/2015] [Revised: 07/16/2015] [Accepted: 07/23/2015] [Indexed: 12/15/2022]
Abstract
This study aimed to evaluate differences in plasma and cerebrospinal fluid (CSF) levels of Aβ peptides in older adults with late-life depression compared to non-depressed older controls. We conducted a systematic review and meta-analysis of the literature using PubMed, Web of science and Scopus databases with no search limits for publication dates or languages. Two independent reviewers extracted data and assessed quality. Six hundred references were retrieved, and we included 12 studies in the meta-analysis after eligibility screening. Older adults with late-life depression (LLD) had a higher plasma Aβ40:Aβ42 ratio compared to non-depressed participants (SMD = 1.10, CI95% [0.28; 1.96], p = 0.01), and marginally significant reduction of CSF Aβ42 levels (SMD = -1.12, CI95% [-2.47; 0.22], p = 0.1). The present results evidence that older adults with depression have significant differences in Aβ metabolism, in the same direction observed in individuals with AD. These differences in the Aβ metabolism may help identify a subgroup of subjects with LLD at higher risk of developing AD.
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van Velden FHP, Mansor SM, van Assema DME, van Berckel BNM, Froklage FE, Wang S, Schuit RC, Asselin MC, Lammertsma AA, Boellaard R, Huisman MC. Comparison of HRRT and HR+ scanners for quantitative (R)-[11C]verapamil, [11C]raclopride and [11C]flumazenil brain studies. Mol Imaging Biol 2015; 17:129-39. [PMID: 25028091 DOI: 10.1007/s11307-014-0766-8] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
Abstract
PURPOSE This study was conducted to directly compare the high-resolution research tomograph (HRRT) (high-resolution brain) and HR+ (standard whole-body) positron emission tomography (PET) only scanners for quantitative brain studies using three tracers with vastly different tracer distributions. PROCEDURES Healthy volunteers underwent successive scans on HR+ and HRRT scanners (in random order) using either (R)-[(11)C]verapamil (n = 6), [(11)C]raclopride (n = 7) or [(11)C]flumazenil (n = 7). For all tracers, metabolite-corrected plasma-input functions were generated. RESULTS After resolution matching, HRRT-derived kinetic parameter values correlated well with those of HR+ for all tracers (intraclass correlation coefficients ≥0.78), having a good absolute interscanner test-retest variability (≤15 %). However, systematic differences can be seen for HRRT-derived kinetic parameter values (range -13 to +15 %). CONCLUSION Quantification of kinetic parameters based on plasma-input models leads to comparable results when spatial resolution between HRRT and HR+ data is matched. When using reference-tissue models, differences remain that are likely caused by differences in attenuation and scatter corrections and/or image reconstruction.
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Affiliation(s)
- Floris H P van Velden
- Department of Radiology & Nuclear Medicine, VU University Medical Center, PO Box 7057, 1007 MB, Amsterdam, The Netherlands,
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Tateno A, Sakayori T, Higuchi M, Suhara T, Ishihara K, Kumita S, Suzuki H, Okubo Y. Amyloid imaging with [(18)F]florbetapir in geriatric depression: early-onset versus late-onset. Int J Geriatr Psychiatry 2015; 30:720-8. [PMID: 25335941 DOI: 10.1002/gps.4215] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/16/2014] [Revised: 08/19/2014] [Accepted: 08/19/2014] [Indexed: 01/07/2023]
Abstract
BACKGROUND We examined patients with mild cognitive impairment (MCI) with a history of geriatric depression (GD) and healthy controls (HC) to evaluate the effect of beta-amyloid (Aβ) pathology on the pathology of GD by using [(18)F]florbetapir PET. METHODS Thirty-three elderly patients (76.7 ± 4.2 years) and 22 healthy controls (HC; 72.0 ± 4.5 years, average ± SD) were examined by [(18)F]florbetapir positron emission tomography (PET) to quantify the standard uptake value ratio (SUVR) as the degree of amyloid accumulation, by MRI to determine the degree of atrophy, by Mini-Mental State Examination for cognitive functions, and by Geriatric Depression Scale for the severity of depression, and by Clinical Dementia Rating for activity of daily living (ADL). The cut-off value of 1.08 for SUVR was defined as Aβ-positive. RESULTS Of the patients and HC, 39.4% and 27.3%, respectively, were beta-amyloid-positive. The onset age of GD was significantly correlated with SUVR (r = 0.44, p < 0.01). Compared to patients without Aβ (GD-Aβ), patients with Aβ (GD + Aβ) did not differ in terms of age, cognitive function, severity of depression and ADL, and brain atrophy. GD + Aβ had significantly older average ± SD age at onset of GD (73.6 ± 7.1 versus 58.7 ± 17.8, p < 0.01) and significantly shorter average ± SD time between onset of GD and PET scan day (3.1 ± 5.2 years versus 18.1 ± 18.6 years, p < 0.001) than GD-Aβ. CONCLUSIONS Our results showed that the rate of Aβ positivity was higher in late-onset GD and that onset-age was associated with SUVR, suggesting that the later the onset of GD, the more Aβ pathology affected its onset.
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Affiliation(s)
- Amane Tateno
- Department of Neuropsychiatry, Nippon Medical School, Bunkyo-ku, Tokyo, Japan
| | - Takeshi Sakayori
- Department of Neuropsychiatry, Nippon Medical School, Bunkyo-ku, Tokyo, Japan
| | - Makoto Higuchi
- Molecular Imaging Center, National Institute of Radiological Sciences, Chiba, Japan
| | - Tetsuya Suhara
- Molecular Imaging Center, National Institute of Radiological Sciences, Chiba, Japan
| | - Keiichi Ishihara
- Clinical Imaging Center for Healthcare, Nippon Medical School, Bunkyo-ku, Tokyo, Japan
| | - Shinichiro Kumita
- Department of Radiology, Nippon Medical School, Bunkyo-ku, Tokyo, Japan
| | - Hidenori Suzuki
- Department of Pharmacology, Nippon Medical School, Bunkyo-ku, Tokyo, Japan
| | - Yoshiro Okubo
- Department of Neuropsychiatry, Nippon Medical School, Bunkyo-ku, Tokyo, Japan
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Knudsen GM, Jensen PS, Erritzoe D, Baaré WFC, Ettrup A, Fisher PM, Gillings N, Hansen HD, Hansen LK, Hasselbalch SG, Henningsson S, Herth MM, Holst KK, Iversen P, Kessing LV, Macoveanu J, Madsen KS, Mortensen EL, Nielsen FÅ, Paulson OB, Siebner HR, Stenbæk DS, Svarer C, Jernigan TL, Strother SC, Frokjaer VG. The Center for Integrated Molecular Brain Imaging (Cimbi) database. Neuroimage 2015; 124:1213-1219. [PMID: 25891375 DOI: 10.1016/j.neuroimage.2015.04.025] [Citation(s) in RCA: 65] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2015] [Revised: 04/08/2015] [Accepted: 04/09/2015] [Indexed: 01/07/2023] Open
Abstract
We here describe a multimodality neuroimaging containing data from healthy volunteers and patients, acquired within the Lundbeck Foundation Center for Integrated Molecular Brain Imaging (Cimbi) in Copenhagen, Denmark. The data is of particular relevance for neurobiological research questions related to the serotonergic transmitter system with its normative data on the serotonergic subtype receptors 5-HT1A, 5-HT1B, 5-HT2A, and 5-HT4 and the 5-HT transporter (5-HTT), but can easily serve other purposes. The Cimbi database and Cimbi biobank were formally established in 2008 with the purpose to store the wealth of Cimbi-acquired data in a highly structured and standardized manner in accordance with the regulations issued by the Danish Data Protection Agency as well as to provide a quality-controlled resource for future hypothesis-generating and hypothesis-driven studies. The Cimbi database currently comprises a total of 1100 PET and 1000 structural and functional MRI scans and it holds a multitude of additional data, such as genetic and biochemical data, and scores from 17 self-reported questionnaires and from 11 neuropsychological paper/computer tests. The database associated Cimbi biobank currently contains blood and in some instances saliva samples from about 500 healthy volunteers and 300 patients with e.g., major depression, dementia, substance abuse, obesity, and impulsive aggression. Data continue to be added to the Cimbi database and biobank.
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Affiliation(s)
- Gitte M Knudsen
- Center for Integrated Molecular Brain Imaging, Copenhagen University Hospital, Rigshospitalet, DK-2100 Copenhagen, Denmark; Neurobiology Research Unit, Copenhagen University Hospital, Rigshospitalet, DK-2100 Copenhagen, Denmark; Faculty of Health and Medical Sciences, University of Copenhagen, DK-2100 Copenhagen, Denmark.
| | - Peter S Jensen
- Center for Integrated Molecular Brain Imaging, Copenhagen University Hospital, Rigshospitalet, DK-2100 Copenhagen, Denmark; Neurobiology Research Unit, Copenhagen University Hospital, Rigshospitalet, DK-2100 Copenhagen, Denmark
| | - David Erritzoe
- Center for Integrated Molecular Brain Imaging, Copenhagen University Hospital, Rigshospitalet, DK-2100 Copenhagen, Denmark; Neurobiology Research Unit, Copenhagen University Hospital, Rigshospitalet, DK-2100 Copenhagen, Denmark
| | - William F C Baaré
- Center for Integrated Molecular Brain Imaging, Copenhagen University Hospital, Rigshospitalet, DK-2100 Copenhagen, Denmark; Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital Hvidovre, DK-2650 Hvidovre, Denmark
| | - Anders Ettrup
- Center for Integrated Molecular Brain Imaging, Copenhagen University Hospital, Rigshospitalet, DK-2100 Copenhagen, Denmark; Neurobiology Research Unit, Copenhagen University Hospital, Rigshospitalet, DK-2100 Copenhagen, Denmark
| | - Patrick M Fisher
- Center for Integrated Molecular Brain Imaging, Copenhagen University Hospital, Rigshospitalet, DK-2100 Copenhagen, Denmark; Neurobiology Research Unit, Copenhagen University Hospital, Rigshospitalet, DK-2100 Copenhagen, Denmark
| | - Nic Gillings
- Center for Integrated Molecular Brain Imaging, Copenhagen University Hospital, Rigshospitalet, DK-2100 Copenhagen, Denmark; PET and Cyclotron Unit, Copenhagen University Hospital, Rigshospitalet, DK-2100 Copenhagen, Denmark
| | - Hanne D Hansen
- Center for Integrated Molecular Brain Imaging, Copenhagen University Hospital, Rigshospitalet, DK-2100 Copenhagen, Denmark; Neurobiology Research Unit, Copenhagen University Hospital, Rigshospitalet, DK-2100 Copenhagen, Denmark
| | - Lars Kai Hansen
- Center for Integrated Molecular Brain Imaging, Copenhagen University Hospital, Rigshospitalet, DK-2100 Copenhagen, Denmark; DTU Compute, Technical University of Denmark, DK-2800 Kgs. Lyngby, Denmark
| | - Steen G Hasselbalch
- Center for Integrated Molecular Brain Imaging, Copenhagen University Hospital, Rigshospitalet, DK-2100 Copenhagen, Denmark; Neurobiology Research Unit, Copenhagen University Hospital, Rigshospitalet, DK-2100 Copenhagen, Denmark; Faculty of Health and Medical Sciences, University of Copenhagen, DK-2100 Copenhagen, Denmark
| | - Susanne Henningsson
- Center for Integrated Molecular Brain Imaging, Copenhagen University Hospital, Rigshospitalet, DK-2100 Copenhagen, Denmark; Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital Hvidovre, DK-2650 Hvidovre, Denmark
| | - Matthias M Herth
- Center for Integrated Molecular Brain Imaging, Copenhagen University Hospital, Rigshospitalet, DK-2100 Copenhagen, Denmark; Neurobiology Research Unit, Copenhagen University Hospital, Rigshospitalet, DK-2100 Copenhagen, Denmark; PET and Cyclotron Unit, Copenhagen University Hospital, Rigshospitalet, DK-2100 Copenhagen, Denmark; Department of Drug Design and Pharmacology, Faculty of Health and Medical Sciences, University of Copenhagen, DK-2100 Copenhagen, Denmark
| | - Klaus K Holst
- Center for Integrated Molecular Brain Imaging, Copenhagen University Hospital, Rigshospitalet, DK-2100 Copenhagen, Denmark; Neurobiology Research Unit, Copenhagen University Hospital, Rigshospitalet, DK-2100 Copenhagen, Denmark; Department of Biostatistics, University of Copenhagen, DK-1014 Copenhagen, Denmark
| | - Pernille Iversen
- Center for Integrated Molecular Brain Imaging, Copenhagen University Hospital, Rigshospitalet, DK-2100 Copenhagen, Denmark; Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital Hvidovre, DK-2650 Hvidovre, Denmark
| | - Lars V Kessing
- Psychiatric Center Copenhagen, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark; Faculty of Health and Medical Sciences, University of Copenhagen, DK-2100 Copenhagen, Denmark
| | - Julian Macoveanu
- Center for Integrated Molecular Brain Imaging, Copenhagen University Hospital, Rigshospitalet, DK-2100 Copenhagen, Denmark; Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital Hvidovre, DK-2650 Hvidovre, Denmark; Psychiatric Center Copenhagen, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
| | - Kathrine Skak Madsen
- Center for Integrated Molecular Brain Imaging, Copenhagen University Hospital, Rigshospitalet, DK-2100 Copenhagen, Denmark; Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital Hvidovre, DK-2650 Hvidovre, Denmark
| | - Erik L Mortensen
- Department of Public Health and Center for Healthy Aging, University of Copenhagen, DK-2200 Copenhagen, Denmark; Faculty of Health and Medical Sciences, University of Copenhagen, DK-2100 Copenhagen, Denmark
| | - Finn Årup Nielsen
- Center for Integrated Molecular Brain Imaging, Copenhagen University Hospital, Rigshospitalet, DK-2100 Copenhagen, Denmark; DTU Compute, Technical University of Denmark, DK-2800 Kgs. Lyngby, Denmark
| | - Olaf B Paulson
- Center for Integrated Molecular Brain Imaging, Copenhagen University Hospital, Rigshospitalet, DK-2100 Copenhagen, Denmark; Neurobiology Research Unit, Copenhagen University Hospital, Rigshospitalet, DK-2100 Copenhagen, Denmark; Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital Hvidovre, DK-2650 Hvidovre, Denmark; Faculty of Health and Medical Sciences, University of Copenhagen, DK-2100 Copenhagen, Denmark
| | - Hartwig R Siebner
- Center for Integrated Molecular Brain Imaging, Copenhagen University Hospital, Rigshospitalet, DK-2100 Copenhagen, Denmark; Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital Hvidovre, DK-2650 Hvidovre, Denmark; Department of Neurology, Copenhagen University Hospital Bispebjerg, DK-2400 Copenhagen, Denmark; Department of Neurology, Copenhagen University Hospital Bispebjerg, DK-2400 Copenhagen, Denmark
| | - Dea S Stenbæk
- Center for Integrated Molecular Brain Imaging, Copenhagen University Hospital, Rigshospitalet, DK-2100 Copenhagen, Denmark; Neurobiology Research Unit, Copenhagen University Hospital, Rigshospitalet, DK-2100 Copenhagen, Denmark
| | - Claus Svarer
- Center for Integrated Molecular Brain Imaging, Copenhagen University Hospital, Rigshospitalet, DK-2100 Copenhagen, Denmark; Neurobiology Research Unit, Copenhagen University Hospital, Rigshospitalet, DK-2100 Copenhagen, Denmark
| | - Terry L Jernigan
- Center for Human Development, University of California, San Diego, La Jolla, CA 92093, USA
| | - Stephen C Strother
- Rotman Research Institute, Baycrest Centre, Toronto, Ontario, Canada; Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada
| | - Vibe G Frokjaer
- Center for Integrated Molecular Brain Imaging, Copenhagen University Hospital, Rigshospitalet, DK-2100 Copenhagen, Denmark; Neurobiology Research Unit, Copenhagen University Hospital, Rigshospitalet, DK-2100 Copenhagen, Denmark; Psychiatric Center Copenhagen, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
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Brendel M, Pogarell O, Xiong G, Delker A, Bartenstein P, Rominger A. Depressive symptoms accelerate cognitive decline in amyloid-positive MCI patients. Eur J Nucl Med Mol Imaging 2015; 42:716-24. [PMID: 25631614 PMCID: PMC5849231 DOI: 10.1007/s00259-014-2975-4] [Citation(s) in RCA: 62] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2014] [Accepted: 12/09/2014] [Indexed: 10/24/2022]
Abstract
PURPOSE Late-life depression even in subsyndromal stages is strongly associated with Alzheimer's disease (AD). Furthermore, brain amyloidosis is an early biomarker in subjects who subsequently suffer from AD and can be sensitively detected by amyloid PET. Therefore, we aimed to compare amyloid load and glucose metabolism in subsyndromally depressed subjects with mild cognitive impairment (MCI). METHODS [(18)F]AV45 PET, [(18)F]FDG PET and MRI were performed in 371 MCI subjects from the Alzheimer's Disease Neuroimaging Initiative Subjects were judged β-amyloid-positive (Aβ+; 206 patients) or β-amyloid-negative (Aβ-; 165 patients) according to [(18)F]AV45 PET. Depressive symptoms were assessed by the Neuropsychiatric Inventory Questionnaire depression item 4. Subjects with depressive symptoms (65 Aβ+, 41 Aβ-) were compared with their nondepressed counterparts. Conversion rates to AD were analysed (mean follow-up time 21.5 ± 9.1 months) with regard to coexisting depressive symptoms and brain amyloid load. RESULTS Aβ+ depressed subjects showed large clusters with a higher amyloid load in the frontotemporal and insular cortices (p < 0.001) with coincident hypermetabolism (p < 0.001) in the frontal cortices than nondepressed subjects. Faster progression to AD was observed in subjects with depressive symptoms (p < 0.005) and in Aβ+ subjects (p < 0.001). Coincident depressive symptoms additionally shortened the conversion time in all Aβ+ subjects (p < 0.005) and to a greater extent in those with a high amyloid load (p < 0.001). CONCLUSION Our results clearly indicate that Aβ+ MCI subjects with depressive symptoms have an elevated amyloid load together with relative hypermetabolism of connected brain areas compared with cognitively matched nondepressed individuals. MCI subjects with high amyloid load and coexistent depressive symptoms are at high risk of faster conversion to AD.
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Affiliation(s)
| | | | - Guoming Xiong
- Dept. of Nuclear Medicine, University of Munich, Germany
| | - Andreas Delker
- Dept. of Nuclear Medicine, University of Munich, Germany
| | | | - Axel Rominger
- Dept. of Nuclear Medicine, University of Munich, Germany
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40
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Affiliation(s)
- Sophia Wang
- Department of Psychiatry and Behavior Sciences, Duke University Medical Center, Durham, North Carolina 27710; ,
- Durham Veterans Affairs Medical Center, Durham, North Carolina 27705
| | - Dan G. Blazer
- Department of Psychiatry and Behavior Sciences, Duke University Medical Center, Durham, North Carolina 27710; ,
- Center for the Study of Aging, Duke University Medical Center, Durham, North Carolina 27710
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41
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Donovan NJ, Hsu DC, Dagley AS, Schultz AP, Amariglio RE, Mormino EC, Okereke OI, Rentz DM, Johnson KA, Sperling RA, Marshall GA. Depressive Symptoms and Biomarkers of Alzheimer's Disease in Cognitively Normal Older Adults. J Alzheimers Dis 2015; 46:63-73. [PMID: 25697700 PMCID: PMC4544638 DOI: 10.3233/jad-142940] [Citation(s) in RCA: 86] [Impact Index Per Article: 8.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
Even low levels of depressive symptoms are associated with an increased risk of cognitive decline in older adults without overt cognitive impairment (CN). Our objective was to examine whether very low, "subthreshold symptoms of depression" are associated with Alzheimer's disease (AD) biomarkers of neurodegeneration in CN adults and whether these associations are specific to particular depressive symptoms. We analyzed data from 248 community-dwelling CN older adults, including measurements of cortical amyloid burden, neurodegeneration markers of hippocampal volume (HV) and cerebral 18F-fluorodeoxyglucose (FDG) metabolism in a composite of AD-related regions and the 30-item Geriatric Depression Scale (GDS). Participants with GDS >10 were excluded. General linear regression models evaluated the cross-sectional relations of GDS to HV or FDG in separate backward elimination models. Predictors included GDS total score, age, gender, premorbid intelligence, a binary amyloid variable and its interaction with GDS. Principal component analyses of GDS item scores revealed three factors (the Dysphoria, Apathy-Anhedonia, and Anxiety-Concentration Factors). In secondary analyses, GDS total score was replaced with the three factor scores in repeated models. Higher GDS score (p = 0.03) was significantly associated with lower HV and was marginally related (p = 0.06) to FDG hypometabolism. In secondary models, higher Dysphoria (p = 0.02) and Apathy-Anhedonia (p = 0.05) were related to lower HV while higher Apathy-Anhedonia (p = 0.003) was the sole factor related to FDG hypometabolism. Amyloid was not a significant predictor in any model. In conclusion, very low-level dysphoria, apathy and anhedonia may point to neurodegeneration in AD-related regions but this association appears to be independent of amyloid burden.
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Affiliation(s)
- Nancy J. Donovan
- Center for Alzheimer Research and Treatment, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA
- Department of Neurology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA
- Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - David C. Hsu
- Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
| | - Alexander S. Dagley
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
| | - Aaron P. Schultz
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
| | - Rebecca E. Amariglio
- Center for Alzheimer Research and Treatment, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA
- Department of Neurology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA
- Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
| | - Elizabeth C. Mormino
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
| | - Olivia I. Okereke
- Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
| | - Dorene M. Rentz
- Center for Alzheimer Research and Treatment, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA
- Department of Neurology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
| | - Keith A. Johnson
- Center for Alzheimer Research and Treatment, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA
- Department of Neurology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
| | - Reisa A. Sperling
- Center for Alzheimer Research and Treatment, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA
- Department of Neurology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
| | - Gad A. Marshall
- Center for Alzheimer Research and Treatment, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA
- Department of Neurology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
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Harrington KD, Lim YY, Gould E, Maruff P. Amyloid-beta and depression in healthy older adults: a systematic review. Aust N Z J Psychiatry 2015; 49:36-46. [PMID: 25414381 DOI: 10.1177/0004867414557161] [Citation(s) in RCA: 55] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
OBJECTIVE Depression has been shown to be a risk factor for Alzheimer's disease (AD), and in older adults may provide a marker for the beginning of the prodromal phase of AD. The purpose of this systematic review is to examine the relationship between amyloid-β (Aβ), a key biomarker of AD, and depression in older adults. METHOD The literature search was limited to studies conducted from 2006 to 2014 that were published in English in peer-reviewed journals. Studies were selected if they included a group of older adults who either met established criteria for Major Depressive Disorder or Dysthymia; or were assessed for depressive symptoms on a standardised measure. Studies were also required to include an outcome variable that was a direct measure of Aβ levels in either blood or cerebrospinal fluid (CSF) samples, or via neuroimaging techniques such as positron emission tomography (PET). RESULTS Nineteen studies were identified, 15 of which found significant differences in Aβ levels between depressed and non-depressed older adults. However, studies were limited by their cross-sectional design, reliance on blood-based measures of Aβ, and potential sample bias. CONCLUSIONS Future investigations should consider prospective longitudinal design using neuroimaging and CSF measures of Aβ.
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Affiliation(s)
- Karra D Harrington
- School of Psychology, Deakin University, Geelong, Victoria, Australia Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Parkville, Victoria, Australia
| | - Yen Ying Lim
- Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Parkville, Victoria, Australia Department of Neurology, Warren Alpert School of Medicine, Brown University, Providence, RI, USA
| | - Emma Gould
- School of Psychology, Deakin University, Geelong, Victoria, Australia
| | - Paul Maruff
- Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Parkville, Victoria, Australia CogState Ltd., Melbourne, Victoria, Australia
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Gade A, Kristoffersen M, Kessing LV. Neuroticism in Remitted Major Depression: Elevated with Early Onset but Not Late Onset of Depression. Psychopathology 2015; 48:400-7. [PMID: 26555606 DOI: 10.1159/000440813] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/20/2015] [Accepted: 09/01/2015] [Indexed: 11/19/2022]
Abstract
BACKGROUND The personality trait of neuroticism is strongly related to depression, but depression is etiologically heterogeneous. Late-onset depression (LOD) may be more closely related to vascular factors, and previous studies of neuroticism in LOD versus early-onset depression (EOD) have not been consistent. METHOD We examined neuroticism, extraversion and perceived stress in 88 fully remitted depressed patients with a mean age of 60 years and with a history of hospitalization for major depressive disorder. Patients were divided into those with onset after and those with onset before 50 years of age (LOD and EOD, respectively), and the two groups were compared both with each other and with matched control groups of healthy subjects. RESULTS EOD patients showed increased levels of neuroticism in comparison with both LOD and matched controls, who did not differ. The association between age of onset and neuroticism was confirmed in analyses based on age of depression onset as a continuous variable. CONCLUSION Neuroticism may be an etiological factor in EOD but not or less so in LOD. This finding contributes to the growing evidence for etiological differences between early- and late-onset late-life depression.
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Affiliation(s)
- Anders Gade
- Department of Psychology, Copenhagen University, Copenhagen, Denmark
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Increased brain amyloid deposition in patients with a lifetime history of major depression: evidenced on 18F-florbetapir (AV-45/Amyvid) positron emission tomography. Eur J Nucl Med Mol Imaging 2014; 41:714-22. [PMID: 24233127 DOI: 10.1007/s00259-013-2627-0] [Citation(s) in RCA: 78] [Impact Index Per Article: 7.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2013] [Accepted: 10/31/2013] [Indexed: 10/26/2022]
Abstract
PURPOSE The literature suggests that a history of depression is associated with an increased risk of developing Alzheimer's disease (AD). The aim of this study was to examine brain amyloid accumulation in patients with lifetime major depression using (18)F-florbetapir (AV-45/Amyvid) PET imaging in comparison with that in nondepressed subjects. METHODS The study groups comprised 25 depressed patients and 11 comparison subjects who did not meet the diagnostic criteria for AD or amnestic mild cognitive impairment. Vascular risk factors, homocysteine and apolipoprotein E (ApoE) genotype were also examined. The standard uptake value ratio (SUVR) of each volume of interest was analysed using whole the cerebellum as the reference region. RESULTS Patients with a lifetime history of major depression had higher (18)F-florbetapir SUVRs in the precuneus (1.06 ± 0.08 vs. 1.00 ± 0.06, p = 0.045) and parietal region (1.05 ± 0.08 vs. 0.98 ± 0.07, p = 0.038) than the comparison subjects. Voxel-wise analysis revealed a significantly increased SUVR in depressed patients in the frontal, parietal, temporal and occipital areas (p < 0.01). There were no significant associations between global (18)F-florbetapir SUVRs and prior depression episodes, age at onset of depression, or time since onset of first depression. CONCLUSION Increased (18)F-florbetapir binding values were found in patients with late-life major depression relative to comparison subjects in specific brain regions, despite no differences in age, sex, education, Mini Mental Status Examination score, vascular risk factor score, homocysteine and ApoE ε4 genotype between the two groups. A longitudinal follow-up study with a large sample size would be worthwhile.
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Abbasowa L, Heegaard NHH. A systematic review of amyloid-β peptides as putative mediators of the association between affective disorders and Alzheimer׳s disease. J Affect Disord 2014; 168:167-83. [PMID: 25058309 DOI: 10.1016/j.jad.2014.06.050] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/11/2014] [Revised: 06/27/2014] [Accepted: 06/28/2014] [Indexed: 11/26/2022]
Abstract
BACKGROUND Affective disorders are associated with an increased occurrence of cognitive deficits and have been linked to cognitive impairment and Alzheimer׳s disease. The putative molecular mechanisms involved in these associations are however not clear. The aim of this systematic review was to explore clinically founded evidence for amyloid-β peptides in cerebrospinal fluid and blood as putative biomarkers for affective disorders. METHOD Systematic searches in Embase and PubMed databases yielded 23 eligible, observational studies. RESULTS Despite inconsistencies that were partly ascribed to the application of different assay formats, study results indicate a potentially altered amyloid-β metabolism in affective disorder. LIMITATIONS Since most studies used a cross-sectional design, causality is difficult to establish. Moreover, methodological rigor of included studies varied and several studies were limited by very low sample numbers. Finally, different assays for amyloid-β were utilized in the different studies, thus hampering comparisons. CONCLUSION To unravel possible risk relations and causalities between affective disorder and Alzheimer׳s disease and to determine how amyloid-β concentrations change over time and are associated with cognition as well as affective symptomatology, future research should include prospective, longitudinal studies, implemented in large study populations, where peripheral and central amyloid-β ratios are quantified concomitantly and continuously across various affective phases. Also, to enable inter-survey comparisons, the use of standardized pre-analytical/analytical procedures is crucial.
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Affiliation(s)
- Leda Abbasowa
- Department of Medicine, Kabbeltoft 25, DK-7100 Vejle, Denmark.
| | - Niels H H Heegaard
- Department of Clinical Biochemistry and Pharmacology, Odense University Hospital, University of Southern Denmark, Denmark; Department of Clinical Biochemistry, Immunology & Genetics, Statens Serum Institut, Copenhagen, Denmark
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Weisenbach SL, Kumar A. Current understanding of the neurobiology and longitudinal course of geriatric depression. Curr Psychiatry Rep 2014; 16:463. [PMID: 25023511 DOI: 10.1007/s11920-014-0463-y] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
Late life depression is a complex disease associated with a number of contributing neurobiological factors, including cerebrovascular disease, neurodegeneration, and inflammation, which also contribute to its longitudinal prognosis and course. These factors create a context in which the brain is more vulnerable to the impact of stress, and thus, to depression. At the same time, some individuals are protected from late life depression and its consequences, even in the face of neurobiological vulnerability, through benefitting from one or more attributes associated with resilience, including social support, engagement in physical and cognitive activities, and brain reserve. Enhanced understanding of how neurobiological and environmental factors interact in predicting vulnerability and resilience is needed to predict onset and course of depression in late life and develop more effective interventions.
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Affiliation(s)
- Sara L Weisenbach
- Department of Psychiatry, University of Illinois at Chicago, 1747 W. Roosevelt Rd., Suite 155, Chicago, IL, 60607, USA,
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Osorio RS, Gumb T, Pomara N. Soluble amyloid-β levels and late-life depression. Curr Pharm Des 2014; 20:2547-54. [PMID: 23859552 PMCID: PMC4106797 DOI: 10.2174/13816128113199990502] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2013] [Accepted: 07/08/2013] [Indexed: 11/22/2022]
Abstract
Late-Life Major Depression (LLMD) is a complex heterogeneous disorder that has multiple pathophysiological mechanisms such as medical comorbidity, vascular-related factors and Alzheimer's disease (AD). There is an association between LLMD and AD, with LLMD possibly being a risk factor for, or early symptom of AD and vascular dementia. Whether depression is an etiologic risk factor for dementia, or part of the dementia prodrome remains controversial. AD has a long prodromal period with the neuropathologic features of the disease preceding the onset of clinical symptoms by as much as 15-20 years. Clinicopathological studies have provided robust support for the importance of Aβ42 in the pathogenesis of AD, but several other risk factors have also been identified. Given the relationship between Aβ42 and AD, a potential relationship between Aβ42 and LLMD would improve the understanding of the association between LLMD and AD. We reviewed 15 studies that analyzed the relationship between soluble Aβ42 and LLMD. For studies looking at plasma and/or cerebrospinal fluid (CSF) levels of Aβ42, the relationship between LLMD and soluble Aβ42 was equivocal, with some studies finding elevated Aβ42 levels associated with LLMD and others finding the opposite, decreased levels of Aβ42 associated with LLMD. It may be that there is poor reliability in the diagnosis of depression in late life, or variability in the criteria and the scales used, or subtypes of depression in late life such as early vs. late onset depression, vascular-related depression, and preclinical/comorbid depression in AD. The different correlations associated with each of these factors would be causing the inconsistent results for soluble Aβ42 levels in LLMD, but it is also possible that these patterns derive from disease stage-dependent differences in the trajectory of CSF Aβ42 during older age, or changes in neuronal activity or the sleep/wake cycle produced by LLMD that influence Aβ42 dynamics.
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Affiliation(s)
| | | | - Nunzio Pomara
- Center for Brain Health Department of Psychiatry, NYU Center for Brain Health Center of Excellence on Brain Aging and Dementia, 145 E. 32nd Street New York, NY 10016.
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Zahodne LB, Stern Y, Manly JJ. Depressive symptoms precede memory decline, but not vice versa, in non-demented older adults. J Am Geriatr Soc 2014; 62:130-4. [PMID: 25093232 PMCID: PMC4123225 DOI: 10.1111/jgs.12600] [Citation(s) in RCA: 82] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
OBJECTIVES To determine whether depressive symptoms typically precede or follow memory declines. DESIGN An autoregressive latent trajectory model was used to examine the direction of the relationship between depressive symptoms and memory decline observed over 12 years. SETTING Washington/Hamilton Heights Inwood Columbia Aging Project, a community-based longitudinal study of aging and dementia in northern Manhattan. PARTICIPANTS Older adults initially without dementia(n = 2,425). MEASUREMENTS Memory composite scores were computed from three subscores of the Selective Reminding Test. Depressive symptoms were assessed using a 10-item version of the Center for Epidemiologic Studies Depression Scale. Analyses controlled for age, sex, recruitment wave,education, black race, and Hispanic ethnicity measured at baseline and chronic disease burden measured at each study visit. RESULTS Initial depressive symptoms predicted worse memory scores at the second study visit (B weight = − 0.03; P = .003) and accelerated memory decline over the entire study period (B weight = − 0.02; P = .03). Memory scores did not predict subsequent depressive symptoms. CONCLUSION These findings suggest that depressive symptoms precede memory decline, but not vice versa, in late life. This pattern of results is consistent with hypotheses that depression is a prodrome of dementia or a causal contributor to memory decline. Clinicians should be aware that depressive symptoms may represent an early indicator not only of dementia, as reported previously, but also of memory decline more generally.
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Affiliation(s)
- Laura B. Zahodne
- Cognitive Neuroscience Division, Department of Neurology and Taub Institute for Research on Alzheimer’s Disease and The Aging Brain, Columbia University College of Physicians and Surgeons, 630 West 168 Street, P & S Box 16, New York, New York 10032, USA
| | - Yaakov Stern
- Cognitive Neuroscience Division, Department of Neurology and Taub Institute for Research on Alzheimer’s Disease and The Aging Brain, Columbia University College of Physicians and Surgeons, 630 West 168 Street, P & S Box 16, New York, New York 10032, USA
| | - Jennifer J. Manly
- Cognitive Neuroscience Division, Department of Neurology and Taub Institute for Research on Alzheimer’s Disease and The Aging Brain, Columbia University College of Physicians and Surgeons, 630 West 168 Street, P & S Box 16, New York, New York 10032, USA
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Royall DR, Palmer RF, Vidoni ED, Honea RA. The default mode network may be the key substrate of depressive symptom-related cognitive changes. J Alzheimers Dis 2013; 34:547-59. [PMID: 23254633 DOI: 10.3233/jad-121639] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
Depressive symptoms are associated with an increased risk of Alzheimer's disease (AD) but the mechanism(s) involved has not been well established. In a convenience sample of participants in the University of Kansas' Brain Aging Project, we use structural equation modeling (SEM) to explicitly distinguish depressive symptom-related variance in cognitive task performance (i.e., DEPCOG) from that which is unrelated to a depressive symptoms. DEPCOG is strongly associated with the cognitive correlates of functional status (δ), which we previously associated with elements of the Default Mode Network (DMN). Both δ and DEPCOG map to a posterior cingulate seeded network that has recently been associated with amyloid-β deposition and includes elements of the DMN. Both contribute significantly to clinical dementia status and dementia severity, as measured by the Clinical Dementia Rating Scale Sum of Boxes. These findings suggest that the cognitive correlates of depressive symptoms, even in the absence of a major depressive episode, may contribute to dementia in their own right, and could be responsible for some cases of incident clinical "AD". This conclusion suggests new opportunities for the latter's diagnosis, prevention, and treatment.
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Affiliation(s)
- Donald R Royall
- Department of Psychiatry, The University of Texas Health Science Center, San Antonio, TX, USA.
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