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Greig Custo MT, Lang MK, Barker WW, Gonzalez J, Vélez-Uribe I, Arruda F, Conniff J, Rodriguez MJ, Loewenstein DA, Duara R, Adjouadi M, Curiel RE, Rosselli M. The association of depression and apathy with Alzheimer's disease biomarkers in a cross-cultural sample. APPLIED NEUROPSYCHOLOGY. ADULT 2024; 31:849-865. [PMID: 35764422 PMCID: PMC9930412 DOI: 10.1080/23279095.2022.2079414] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
Abstract
Cross-cultural differences in the association between neuropsychiatric symptoms and Alzheimer's disease (AD) biomarkers are not well understood. This study aimed to (1) compare depressive symptoms and frequency of reported apathy across diagnostic groups of participants with normal cognition (CN), mild cognitive impairment (MCI), and dementia, as well as ethnic groups of Hispanic Americans (HA) and European Americans (EA); (2) evaluate the relationship between depression and apathy with Aβ deposition and brain atrophy. Statistical analyses included ANCOVAs, chi-squared, nonparametric tests, correlations, and logistic regressions. Higher scores on the Geriatric Depression Scale (GDS-15) were reported in the MCI and dementia cohorts, while older age corresponded with lower GDS-15 scores. The frequency of apathy differed across diagnoses within each ethnicity, but not when comparing ethnic groups. Reduced volume in the rostral anterior cingulate cortex (ACC) significantly correlated with and predicted apathy for the total sample after applying false discovery rate corrections (FDR), controlling for covariates. The EA group separately demonstrated a significant negative relationship between apathy and superior frontal volume, while for HA, there was a relationship between rostral ACC volume and apathy. Apathy corresponded with higher Aβ levels for the total sample and for the CN and HA groups.
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Affiliation(s)
- María T. Greig Custo
- Wien Center for Alzheimer’s Disease and Memory Disorders, Mount Sinai Medical Center, Miami Beach, FL, USA
- Florida Alzheimer’s Disease Research Center, Miami Beach, FL, USA
| | - Merike K. Lang
- Department of Psychology, Charles E Schmidt College of Science, Florida Atlantic University, Davie, FL, USA
| | - Warren W. Barker
- Wien Center for Alzheimer’s Disease and Memory Disorders, Mount Sinai Medical Center, Miami Beach, FL, USA
- Florida Alzheimer’s Disease Research Center, Miami Beach, FL, USA
| | - Joanna Gonzalez
- Wien Center for Alzheimer’s Disease and Memory Disorders, Mount Sinai Medical Center, Miami Beach, FL, USA
| | - Idaly Vélez-Uribe
- Wien Center for Alzheimer’s Disease and Memory Disorders, Mount Sinai Medical Center, Miami Beach, FL, USA
- Department of Psychology, Charles E Schmidt College of Science, Florida Atlantic University, Davie, FL, USA
| | - Fernanda Arruda
- Department of Psychology, Charles E Schmidt College of Science, Florida Atlantic University, Davie, FL, USA
| | - Joshua Conniff
- Department of Psychology, Charles E Schmidt College of Science, Florida Atlantic University, Davie, FL, USA
| | | | - David A. Loewenstein
- Florida Alzheimer’s Disease Research Center, Miami Beach, FL, USA
- Department of Psychiatry and Behavioral Sciences and Center for Cognitive Neuroscience and Aging, Miller School of Medicine, University of Miami, Miami, FL, USA
| | - Ranjan Duara
- Wien Center for Alzheimer’s Disease and Memory Disorders, Mount Sinai Medical Center, Miami Beach, FL, USA
- Florida Alzheimer’s Disease Research Center, Miami Beach, FL, USA
| | - Malek Adjouadi
- Florida Alzheimer’s Disease Research Center, Miami Beach, FL, USA
- Center for Advanced Technology and Education, College of Engineering, Florida International University, Miami, FL, USA
| | - Rosie E. Curiel
- Florida Alzheimer’s Disease Research Center, Miami Beach, FL, USA
- Department of Psychiatry and Behavioral Sciences and Center for Cognitive Neuroscience and Aging, Miller School of Medicine, University of Miami, Miami, FL, USA
| | - Mónica Rosselli
- Florida Alzheimer’s Disease Research Center, Miami Beach, FL, USA
- Department of Psychology, Charles E Schmidt College of Science, Florida Atlantic University, Davie, FL, USA
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Cong E, Zhong Y, Wu M, Chen H, Cai Y, Ling Z, Wang Y, Wen H, Hu Y, Zhang H, Li Y, Liu X, Zhong P, Lai W, Xu Y, Wu Y. Hippocampal subfield morphology from first episodes of bipolar disorder type II and major depressive disorder in a drug naïve Chinese cohort. Front Psychiatry 2024; 15:1438144. [PMID: 39119073 PMCID: PMC11306163 DOI: 10.3389/fpsyt.2024.1438144] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/25/2024] [Accepted: 07/05/2024] [Indexed: 08/10/2024] Open
Abstract
Introduction Symptoms during the onset of major depressive disorder [MDD] and bipolar disorder type II [BD-II] are similar. The difference of hippocampus subregion could be a biological marker to distinguish MDD from BD-II. Methods We recruited 61 drug-naïve patients with a first-episode MDD and BD-II episode and 30 healthy controls (HC) to participate in a magnetic resonance imaging [MRI] study. We built a general linear model (one-way analysis of covariance) with 22 hippocampal subfields and two total hippocampal volumes as dependent variables, and the diagnosis of MDD, BD-II, and HC as independent variables. We performed pair-wise comparisons of hippocampal subfield volumes between MDD and HC, BD-II and MDD, BD-II and HC with post hoc for primary analysis. Results We identified three regions that differed significantly in size between patients and controls. The left hippocampal fissure, the hippocampal-amygdaloid transition area (HATA), and the right subiculum body were all significantly larger in patients with MDD compared with the HC. In the onset of first-episode of MDD, the hippocampal volume increased significantly, especially on the left side comparing to HC. However, we found differences between MDD and BD-II were not statistically significant. The volume of the left HATA and right subiculum body in BD-II was larger. Conclusions The sample size of this study is relatively small, as it is a cross-sectional comparative study. In both MDD and BD-II groups, the volume of more left subregions appeared to increase. The left subregions were severely injured in the development of depressive disorder.
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Affiliation(s)
- Enzhao Cong
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai Tenth People’s Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Yingyan Zhong
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Mengyue Wu
- X-LANCE Lab, Department of Computer Science and Engineering, MoE Key Lab of Artificial Intelligence, AI Institute Shanghai Jiao Tong University, Shanghai, China
| | - Haiying Chen
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yiyun Cai
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zheng Ling
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yun Wang
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Hui Wen
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yao Hu
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Huifeng Zhang
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yan Li
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xiaohua Liu
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Pingfang Zhong
- Affective Disorder Department, Lincang Psychiatric Hospital, Lincang, China
| | - Weijie Lai
- Psychiatric Department, Zhangzhou Fukang Hospital, Zhangzhou, China
| | - Yifeng Xu
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yan Wu
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
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Vande Casteele T, Laroy M, Van Cauwenberge M, Vanderlinden G, Vansteelandt K, Koole M, Dupont P, Van Den Bossche M, Van den Stock J, Bouckaert F, Van Laere K, Emsell L, Vandenbulcke M. Late Life Depression is Not Associated With Alzheimer-Type Tau: Preliminary Evidence From a Next-Generation Tau Ligand PET-MR Study. Am J Geriatr Psychiatry 2024:S1064-7481(24)00401-9. [PMID: 39107144 DOI: 10.1016/j.jagp.2024.07.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/20/2024] [Revised: 07/04/2024] [Accepted: 07/09/2024] [Indexed: 08/09/2024]
Abstract
OBJECTIVE To investigate whether tau accumulation is higher in late life depression (LLD) compared to non-depressed cognitively unimpaired (CU) older adults. To situate these findings in the neurodegeneration model of LLD by assessing group differences in tau and grey matter volume (GMV) between LLD, non-depressed CU and mild cognitive impairment due to Alzheimer's Disease (MCI). DESIGN Monocentric, cross-sectional study. SETTING University Psychiatric hospital, memory clinic and outpatient neurology practice. PARTICIPANTS A total of 102 adults over age 60, of whom 19 currently depressed participants with LLD, 19 with MCI and 36 non-depressed CU participants completed neuropsychological testing and tau PET-MR imaging. MEASUREMENTS PET-MRI: 18F-MK-6240 tracer SUVR for tau assessment; 3D T1-weighted structural MRI derived GMV in seven brain regions (temporal, cingulate, prefrontal and parietal regions); amyloid PET to assess amyloid positivity; Neuropsychological test scores: MMSE, RAVLT, GDS, MADRS. ANCOVA and Spearman's rank correlations to investigate group differences in tau and GMV, and correlations with neuropsychological test scores respectively. RESULTS Compared to non-depressed CU participants, LLD patients showed lower GMV in temporal and anterior cingulate regions but similar tau accumulation and amyloid positivity rate. In contrast, MCI patients had significantly higher tau accumulation in all regions. Tau did not correlate with any neuropsychological test scores in LLD. CONCLUSION Our findings suggest AD-type tau is not higher in LLD compared to non-depressed, cognitively unimpaired older adults and appears unlikely to contribute to lower gray matter volume in LLD, further underscoring the need to distinguish major depressive disorder from depressive symptoms occurring in early AD.
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Affiliation(s)
- Thomas Vande Casteele
- Department of Neurosciences, Neuropsychiatry (TVC, ML, MVC, MVDB, JVDS, FB, LE, MV), KU Leuven, Leuven Brain Institute, Leuven, Belgium.
| | - Maarten Laroy
- Department of Neurosciences, Neuropsychiatry (TVC, ML, MVC, MVDB, JVDS, FB, LE, MV), KU Leuven, Leuven Brain Institute, Leuven, Belgium
| | - Margot Van Cauwenberge
- Department of Neurosciences, Neuropsychiatry (TVC, ML, MVC, MVDB, JVDS, FB, LE, MV), KU Leuven, Leuven Brain Institute, Leuven, Belgium; Department of Neurology (MVC), University Hospitals Leuven, Leuven, Belgium
| | - Greet Vanderlinden
- Department of Imaging and Pathology, Nuclear Medicine (GV, MK, KVL), KU Leuven, Leuven Brain Institute, Leuven, Belgium
| | - Kristof Vansteelandt
- Geriatric Psychiatry (KV, MVDB, JVDS, FB, LE), University Psychiatric Center KU Leuven, Leuven, Belgium
| | - Michel Koole
- Department of Imaging and Pathology, Nuclear Medicine (GV, MK, KVL), KU Leuven, Leuven Brain Institute, Leuven, Belgium
| | - Patrick Dupont
- Department of Neurosciences, Laboratory for Cognitive Neurology (PD), KU Leuven, Leuven Brain Institute, Leuven, Belgium
| | - Maarten Van Den Bossche
- Department of Neurosciences, Neuropsychiatry (TVC, ML, MVC, MVDB, JVDS, FB, LE, MV), KU Leuven, Leuven Brain Institute, Leuven, Belgium; Geriatric Psychiatry (KV, MVDB, JVDS, FB, LE), University Psychiatric Center KU Leuven, Leuven, Belgium
| | - Jan Van den Stock
- Department of Neurosciences, Neuropsychiatry (TVC, ML, MVC, MVDB, JVDS, FB, LE, MV), KU Leuven, Leuven Brain Institute, Leuven, Belgium; Geriatric Psychiatry (KV, MVDB, JVDS, FB, LE), University Psychiatric Center KU Leuven, Leuven, Belgium
| | - Filip Bouckaert
- Department of Neurosciences, Neuropsychiatry (TVC, ML, MVC, MVDB, JVDS, FB, LE, MV), KU Leuven, Leuven Brain Institute, Leuven, Belgium; Geriatric Psychiatry (KV, MVDB, JVDS, FB, LE), University Psychiatric Center KU Leuven, Leuven, Belgium
| | - Koen Van Laere
- Department of Imaging and Pathology, Nuclear Medicine (GV, MK, KVL), KU Leuven, Leuven Brain Institute, Leuven, Belgium; Department of Nuclear Medicine (KVL), University Hospitals Leuven, Leuven, Belgium
| | - Louise Emsell
- Department of Neurosciences, Neuropsychiatry (TVC, ML, MVC, MVDB, JVDS, FB, LE, MV), KU Leuven, Leuven Brain Institute, Leuven, Belgium; Geriatric Psychiatry (KV, MVDB, JVDS, FB, LE), University Psychiatric Center KU Leuven, Leuven, Belgium; Department of Imaging and Pathology, Translational MRI, KU Leuven, Leuven Brain Institute, Leuven, Belgium
| | - Mathieu Vandenbulcke
- Department of Neurosciences, Neuropsychiatry (TVC, ML, MVC, MVDB, JVDS, FB, LE, MV), KU Leuven, Leuven Brain Institute, Leuven, Belgium; Geriatric Psychiatry (KV, MVDB, JVDS, FB, LE), University Psychiatric Center KU Leuven, Leuven, Belgium
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Monereo-Sánchez J, Jansen JFA, van Boxtel MPJ, Backes WH, Köhler S, Stehouwer CDA, Linden DEJ, Schram MT. Association of hippocampal subfield volumes with prevalence, course and incidence of depressive symptoms: The Maastricht Study. Br J Psychiatry 2024; 224:66-73. [PMID: 37993980 PMCID: PMC10807974 DOI: 10.1192/bjp.2023.143] [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] [Received: 01/27/2023] [Revised: 08/09/2023] [Accepted: 09/26/2023] [Indexed: 11/24/2023]
Abstract
BACKGROUND Late-life depression has been associated with volume changes of the hippocampus. However, little is known about its association with specific hippocampal subfields over time. AIMS We investigated whether hippocampal subfield volumes were associated with prevalence, course and incidence of depressive symptoms. METHOD We extracted 12 hippocampal subfield volumes per hemisphere with FreeSurfer v6.0 using T1-weighted and fluid-attenuated inversion recovery 3T magnetic resonance images. Depressive symptoms were assessed at baseline and annually over 7 years of follow-up (9-item Patient Health Questionnaire). We used negative binominal, logistic, and Cox regression analyses, corrected for multiple comparisons, and adjusted for demographic, cardiovascular and lifestyle factors. RESULTS A total of n = 4174 participants were included (mean age 60.0 years, s.d. = 8.6, 51.8% female). Larger right hippocampal fissure volume was associated with prevalent depressive symptoms (odds ratio (OR) = 1.26, 95% CI 1.08-1.48). Larger bilateral hippocampal fissure (OR = 1.37-1.40, 95% CI 1.14-1.71), larger right molecular layer (OR = 1.51, 95% CI 1.14-2.00) and smaller right cornu ammonis (CA)3 volumes (OR = 0.61, 95% CI 0.48-0.79) were associated with prevalent depressive symptoms with a chronic course. No associations of hippocampal subfield volumes with incident depressive symptoms were found. Yet, lower left hippocampal amygdala transition area (HATA) volume was associated with incident depressive symptoms with chronic course (hazard ratio = 0.70, 95% CI 0.55-0.89). CONCLUSIONS Differences in hippocampal fissure, molecular layer and CA volumes might co-occur or follow the onset of depressive symptoms, in particular with a chronic course. Smaller HATA was associated with an increased risk of incident (chronic) depression. Our results could capture a biological foundation for the development of chronic depressive symptoms, and stresses the need to discriminate subtypes of depression to unravel its biological underpinnings.
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Affiliation(s)
- Jennifer Monereo-Sánchez
- School for Mental Health & Neuroscience, Faculty of Health, Medicine and Life Sciences, Maastricht University, the Netherlands; and Department of Radiology & Nuclear Medicine, Maastricht University Medical Center, the Netherlands
| | - Jacobus F. A. Jansen
- School for Mental Health & Neuroscience, Faculty of Health, Medicine and Life Sciences, Maastricht University, the Netherlands; and Department of Radiology & Nuclear Medicine, Maastricht University Medical Center, the Netherlands
| | - Martin P. J. van Boxtel
- Alzheimer Centrum Limburg, Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Faculty of Health, Medicine and Life Sciences, Maastricht University, the Netherlands
| | - Walter H. Backes
- School for Mental Health & Neuroscience, Faculty of Health, Medicine and Life Sciences, Maastricht University, the Netherlands; Department of Radiology & Nuclear Medicine, Maastricht University Medical Center, the Netherlands; and School for Cardiovascular Diseases, Faculty of Health, Medicine and Life Sciences, Maastricht University, the Netherlands
| | - Sebastian Köhler
- School for Mental Health & Neuroscience, Faculty of Health, Medicine and Life Sciences, Maastricht University, the Netherlands; and Department of Psychiatry and Neuropsychology, Maastricht University Medical Center, the Netherlands
| | - Coen D. A. Stehouwer
- School for Cardiovascular Diseases, Faculty of Health, Medicine and Life Sciences, Maastricht University, the Netherlands; Department of Psychiatry and Neuropsychology, Maastricht University Medical Center, the Netherlands; and Department of Internal Medicine, Maastricht University Medical Center, the Netherlands
| | - David E. J. Linden
- School for Mental Health & Neuroscience, Faculty of Health, Medicine and Life Sciences, Maastricht University, the Netherlands
| | - Miranda T. Schram
- School for Mental Health & Neuroscience, Faculty of Health, Medicine and Life Sciences, Maastricht University, the Netherlands; School for Cardiovascular Diseases, Faculty of Health, Medicine and Life Sciences, Maastricht University, the Netherlands; Department of Internal Medicine, Maastricht University Medical Center, the Netherlands; and Maastricht Heart + Vascular Center, Maastricht University Medical Center, the Netherlands
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Yao S, Chen XW. The association between depressive symptoms with fear of falling and cognitive decline in older adults in the Korean community: An analysis of the Korean Longitudinal Study of Aging (KLoSA), 2006-2020. Arch Gerontol Geriatr 2024; 117:105177. [PMID: 37690256 DOI: 10.1016/j.archger.2023.105177] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2023] [Revised: 08/19/2023] [Accepted: 08/31/2023] [Indexed: 09/12/2023]
Abstract
OBJECTIVES This study aimed to investigate the effects of fear of falling (FOF) on cognitive decline in older adults in the Korean community, depending on the presence of accompanying depressive symptoms. METHODS A total of 6263 individuals were included in the final analysis. Based on their baseline evaluation results for depressive symptoms and FOF, the subjects were divided into four groups: "normal control" (NC, n = 3783), "depression only" (Dep-only, n = 291), "fear of falling only" (FOF-only, n = 1755), and "depression with fear of falling" (Dep-FOF, n = 434). Cognitive decline was defined as a loss of more than three points in the K-MMSE score in participants with at least two years of follow-up. We examined the association between FOF accompanied by depressive symptoms and cognitive decline using a multivariate Cox proportional hazard model. RESULTS Cognitive decline occurred in 76.3%, 68.5%, 63.9%, and 56.4% of the Dep-FOF, FOF-only, Dep-only, and NC groups, respectively. Our findings suggest that individuals with FOF do not always have cognitive decline (HR = 1.03, 95% CI = 0.95-1.12, P = 0.43) compared to individuals without FOF. Furthermore, depressive symptoms with FOF are associated with a higher risk of cognitive decline (HR = 1.23, 95% CI = 1.08-1.41, P = 0.002) in community-dwelling older adults in Korea. CONCLUSION Healthcare providers should be attentive to community-dwelling older adults who experience both depressive symptoms and FOF because our findings suggest that this unique combination increases the risk of cognitive decline.
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Affiliation(s)
- Shaoli Yao
- Department of Neurology, Hospital of Chengdu Office of People's Government of Tibet Autonomous Region, Chengdu, Sichuan, China.
| | - Xi-Wen Chen
- Department of Neurology, The Second Affiliated Hospital of Chengdu Medical College, China National Nuclear Corporation 416 Hospital, Chengdu, Sichuan, China
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Liu R, Zhou H, Qu H, Chen Y, Bai Q, Guo F, Wang L, Jiang X, Mao H. Effects of aerobic exercise on depression-like behavior and TLR4/NLRP3 pathway in hippocampus CA1 region of CUMS-depressed mice. J Affect Disord 2023; 341:248-255. [PMID: 37634821 DOI: 10.1016/j.jad.2023.08.078] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/19/2023] [Revised: 08/01/2023] [Accepted: 08/14/2023] [Indexed: 08/29/2023]
Abstract
BACKGROUND AND PURPOSE The paper observes regulation of the expression levels of NLRP3 and TLR4 in hippocampal CA1 neurons in CUMS mice by aerobic exercise with constructing CUMS depression mouse model, in order to explore the neuroprotective mechanism of aerobic exercise on the hippocampus of depressed mice. STUDY DESIGN AND METHOD 24 healthy male 8-week-old C57BL/6 mice were randomly divided into CG, MG and ME. Thirteen stress-stimulating factors were randomly formulated into a CUMS stress-stimulating program. The mice were underwent 28 days of CUMS depression model, referenced clinical means for experimental research. The study was approved by the Ethics Committee of Yichun University (YCUEC IRB number LSK NO.2022.18). After model preparation, ME mice were subjected to moderate-intensity treadmill exercise training for 8 weeks. TST, FST and SPT were used to detect the depression-like behaviors of the mice in each group. Nissl staining was used to compare the cell morphology in the CA1 region of the mouse hippocampus. Immunohistochemical staining and western blot were used to detect the changes in the expression levels of NLRP3, TLR4 and other proteins in the CA1 region of the mouse hippocampus. RESULTS The results of neurobehavioral assessment showed that, the immobility time of TST and FST were significantly increased, and SPT index was significantly decreased of MG mice. Compared with MG, ME mice significantly improved depression-like behaviors such as TST, FST and SPT index. Nissl staining showed that the morphology of neurons in CA1 region of hippocampus of MG mice were mostly vacuolar-like, with severe nuclear pyknosis. Abnormal morphological changes such as vacuolar-like and pyknotic pyknosis of neurons in the hippocampal CA1 region of ME mice were significantly reduced. Protein expression test showed that the number of NLRP3, TLR4, IL-1β and IL-10 positive neurons in hippocampal CA1 region of MG mice increased significantly compared with CG, and the proportion of positive cells increased significantly, while NLRP3 and TLR4 positive neurons in the hippocampal CA1 region of ME mice were significantly reduced, the proportion of TLR4 positive cells was significantly reduced. CONCLUSION Systematic moderate-intensity exercise can effectively improve the depression-like behavior of CUMS depressed mice through the expression of TLR4/NLRP3 inflammatory signaling pathway, and provide an effective experimental basis for the clinical rehabilitation treatment of depression.
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Affiliation(s)
- Ruilian Liu
- College of Physical Education, Yichun University, Yichun 336000, Jiangxi Province, China
| | - Hao Zhou
- Continuing Education College, Yichun Vocational and Technical College, Yichun 336000, Jiangxi Province, China
| | - Honglin Qu
- College of Physical Education, Yichun University, Yichun 336000, Jiangxi Province, China.
| | - Yilin Chen
- College of Physical Education, Yichun University, Yichun 336000, Jiangxi Province, China
| | - Qingyun Bai
- Jiangxi Key Lab of Natural Drug Research, College of Chemistry and Bioengineering, Yichun University, Yichun 336000, Jiangxi Province, China
| | - Fuqiang Guo
- College of Physical Education, Yichun University, Yichun 336000, Jiangxi Province, China
| | - Liang Wang
- College of Physical Education, Yichun University, Yichun 336000, Jiangxi Province, China
| | - Xiaobo Jiang
- College of Physical Education, Yichun University, Yichun 336000, Jiangxi Province, China
| | - Haifeng Mao
- College of Physical Education, Yichun University, Yichun 336000, Jiangxi Province, China
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Ahmed R, Boyd BD, Elson D, Albert K, Begnoche P, Kang H, Landman BA, Szymkowicz SM, Andrews P, Vega J, Taylor WD. Influences of resting-state intrinsic functional brain connectivity on the antidepressant treatment response in late-life depression. Psychol Med 2023; 53:6261-6270. [PMID: 36482694 PMCID: PMC10250562 DOI: 10.1017/s0033291722003579] [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] [Received: 05/04/2022] [Revised: 09/04/2022] [Accepted: 10/24/2022] [Indexed: 12/14/2022]
Abstract
BACKGROUND Late-life depression (LLD) is characterized by differences in resting state functional connectivity within and between intrinsic functional networks. This study examined whether clinical improvement to antidepressant medications is associated with pre-randomization functional connectivity in intrinsic brain networks. METHODS Participants were 95 elders aged 60 years or older with major depressive disorder. After clinical assessments and baseline MRI, participants were randomized to escitalopram or placebo with a two-to-one allocation for 8 weeks. Non-remitting participants subsequently entered an 8-week trial of open-label bupropion. The main clinical outcome was depression severity measured by MADRS. Resting state functional connectivity was measured between a priori key seeds in the default mode (DMN), cognitive control, and limbic networks. RESULTS In primary analyses of blinded data, lower post-treatment MADRS score was associated with higher resting connectivity between: (a) posterior cingulate cortex (PCC) and left medial prefrontal cortex; (b) PCC and subgenual anterior cingulate cortex (ACC); (c) right medial PFC and subgenual ACC; (d) right orbitofrontal cortex and left hippocampus. Lower post-treatment MADRS was further associated with lower connectivity between: (e) the right orbitofrontal cortex and left amygdala; and (f) left dorsolateral PFC and left dorsal ACC. Secondary analyses associated mood improvement on escitalopram with anterior DMN hub connectivity. Exploratory analyses of the bupropion open-label trial associated improvement with subgenual ACC, frontal, and amygdala connectivity. CONCLUSIONS Response to antidepressants in LLD is related to connectivity in the DMN, cognitive control and limbic networks. Future work should focus on clinical markers of network connectivity informing prognosis. REGISTRATION ClinicalTrials.gov NCT02332291.
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Affiliation(s)
- Ryan Ahmed
- Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, The Vanderbilt Center for Cognitive Medicine, Nashville, TN, USA
| | - Brian D. Boyd
- Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, The Vanderbilt Center for Cognitive Medicine, Nashville, TN, USA
| | - Damian Elson
- Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, The Vanderbilt Center for Cognitive Medicine, Nashville, TN, USA
| | - Kimberly Albert
- Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, The Vanderbilt Center for Cognitive Medicine, Nashville, TN, USA
| | - Patrick Begnoche
- Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, The Vanderbilt Center for Cognitive Medicine, Nashville, TN, USA
| | - Hakmook Kang
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Bennett A. Landman
- Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, The Vanderbilt Center for Cognitive Medicine, Nashville, TN, USA
- Department of Electrical and Computer Engineering, Vanderbilt University, Nashville, TN, USA
| | - Sarah M. Szymkowicz
- Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, The Vanderbilt Center for Cognitive Medicine, Nashville, TN, USA
| | - Patricia Andrews
- Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, The Vanderbilt Center for Cognitive Medicine, Nashville, TN, USA
| | - Jennifer Vega
- Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, The Vanderbilt Center for Cognitive Medicine, Nashville, TN, USA
| | - Warren D. Taylor
- Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, The Vanderbilt Center for Cognitive Medicine, Nashville, TN, USA
- Geriatric Research, Education, and Clinical Center, Veterans Affairs Tennessee Valley Health System, Nashville, TN, USA
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Sinclair LI, Ball HA, Bolea-Alamanac BM. Does depression in mid-life predispose to greater cognitive decline in later life in the Whitehall II cohort? J Affect Disord 2023; 335:111-119. [PMID: 37172658 DOI: 10.1016/j.jad.2023.05.014] [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] [Received: 10/19/2022] [Revised: 05/02/2023] [Accepted: 05/05/2023] [Indexed: 05/15/2023]
Abstract
BACKGROUND Later-life depression appears to have different symptomatology and possibly underlying pathology to younger adults. Depression is linked to dementia but whether it is a risk factor or an early sign of dementia remains unclear. Neuroinflammation is increasingly recognised in both conditions. AIMS To investigate the link between depression, inflammation and dementia. We hypothesised that recurrent depression increases the rate of cognitive decline in older adults and that this effect is modified by anti-inflammatory medication. METHODS We used data from Whitehall II including cognitive test results and reliable measures to assess depression. Depression was defined as a self-reported diagnosis or a score of ≥20 on the CESD. The presence/absence of inflammatory illness was assessed using a standardised list of inflammatory conditions. Individuals with dementia, chronic neurological and psychotic conditions were excluded. Logistic and linear regression was used to examine the effect of depression on cognitive test performance and the effect of chronic inflammation. LIMITATIONS Lack of clinical diagnoses of depression. RESULTS There were 1063 individuals with and 2572 without depression. Depression did not affect deterioration in episodic memory, verbal fluency or the AH4 test at 15-year follow up. We found no evidence of an effect of anti-inflammatory medication. Depressed individuals had worse cross-sectional performance on the Mill Hill test and tests of abstract reasoning and verbal fluency at both baseline and 15-year follow-up. CONCLUSIONS Using a UK based study with a long follow-up interval we have shown that depression in individuals aged >50 is not associated with increased cognitive decline.
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Affiliation(s)
- Lindsey Isla Sinclair
- Department of Clinical Neuroscience, Bristol Medical School, University of Bristol, Learning & Research Building, Southmead Hospital, BS10 5NB, United Kingdom of Great Britain and Northern Ireland.
| | - Harriet Ann Ball
- Department of Clinical Neuroscience, Bristol Medical School, University of Bristol, Learning & Research Building, Southmead Hospital, BS10 5NB, United Kingdom of Great Britain and Northern Ireland
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9
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Buccianelli B, Marazziti D, Arone A, Palermo S, Simoncini M, Carbone MG, Massoni L, Violi M, Dell’Osso L. Depression and Pseudodementia: Decoding the Intricate Bonds in an Italian Outpatient Setting. Brain Sci 2023; 13:1200. [PMID: 37626556 PMCID: PMC10452733 DOI: 10.3390/brainsci13081200] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2023] [Revised: 08/07/2023] [Accepted: 08/09/2023] [Indexed: 08/27/2023] Open
Abstract
In spite of the uncertainties of its diagnostic framework, pseudodementia may be conceptualized as a condition characterized by depressive symptoms and cognitive impairment in the absence of dementia. Given the controversies on this topic, the aim of the present study was to assess neurological and cognitive dysfunctions in a sample of elderly depressed subjects, and the eventual relationship between cognitive impairment and depressive symptoms. Fifty-seven elderly depressed outpatients of both sexes were included in the study. A series of rating scales were used to assess diagnoses, depressive and cognitive impairment. Comparisons for continuous variables were performed with the independent-sample Student's t-test. Comparisons for categorical variables were conducted by the χ2 test (or Fisher's exact test when appropriate). The correlations between between socio-demographic characteristics and clinical features, as well as between cognitive impairment and depressive symptoms were explored by Pearson's correlation coefficient or Spearman's rank correlation. Our data showed the presence of a mild-moderate depression and of a mild cognitive impairment that was only partially related to the severity of depression. These dysfunctions became more evident when analyzing behavioral responses, besides cognitive functions. A high educational qualification seemed to protect against cognitive decline, but not against depression. Single individuals were more prone to cognitive disturbance but were similar to married subjects in terms of the severity of depressive symptoms. Previous depressive episodes had no impact on the severity of depression or cognitive functioning. Although data are needed to draw firm conclusions, our findings strengthen the notion that pseudodementia represents a borderline condition between depression and cognitive decline that should be rapidly identified and adequately treated.
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Affiliation(s)
- Beatrice Buccianelli
- Department of Clinical and Experimental Medicine, Section of Psychiatry, University of Pisa, 56126 Pisa, Italy; (B.B.); (A.A.); (S.P.); (M.S.); (L.M.); (M.V.); (L.D.)
| | - Donatella Marazziti
- Department of Clinical and Experimental Medicine, Section of Psychiatry, University of Pisa, 56126 Pisa, Italy; (B.B.); (A.A.); (S.P.); (M.S.); (L.M.); (M.V.); (L.D.)
- Saint Camillus International University of Health and Medical Sciences—UniCamillus, 00131 Rome, Italy
| | - Alessandro Arone
- Department of Clinical and Experimental Medicine, Section of Psychiatry, University of Pisa, 56126 Pisa, Italy; (B.B.); (A.A.); (S.P.); (M.S.); (L.M.); (M.V.); (L.D.)
| | - Stefania Palermo
- Department of Clinical and Experimental Medicine, Section of Psychiatry, University of Pisa, 56126 Pisa, Italy; (B.B.); (A.A.); (S.P.); (M.S.); (L.M.); (M.V.); (L.D.)
| | - Marly Simoncini
- Department of Clinical and Experimental Medicine, Section of Psychiatry, University of Pisa, 56126 Pisa, Italy; (B.B.); (A.A.); (S.P.); (M.S.); (L.M.); (M.V.); (L.D.)
| | - Manuel Glauco Carbone
- Department of Medicine and Surgery, Division of Psychiatry, University of Insubria, 21100 Varese, Italy;
| | - Leonardo Massoni
- Department of Clinical and Experimental Medicine, Section of Psychiatry, University of Pisa, 56126 Pisa, Italy; (B.B.); (A.A.); (S.P.); (M.S.); (L.M.); (M.V.); (L.D.)
| | - Miriam Violi
- Department of Clinical and Experimental Medicine, Section of Psychiatry, University of Pisa, 56126 Pisa, Italy; (B.B.); (A.A.); (S.P.); (M.S.); (L.M.); (M.V.); (L.D.)
| | - Liliana Dell’Osso
- Department of Clinical and Experimental Medicine, Section of Psychiatry, University of Pisa, 56126 Pisa, Italy; (B.B.); (A.A.); (S.P.); (M.S.); (L.M.); (M.V.); (L.D.)
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10
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Szymkowicz SM, Gerlach AR, Homiack D, Taylor WD. Biological factors influencing depression in later life: role of aging processes and treatment implications. Transl Psychiatry 2023; 13:160. [PMID: 37160884 PMCID: PMC10169845 DOI: 10.1038/s41398-023-02464-9] [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] [Received: 11/24/2022] [Revised: 04/23/2023] [Accepted: 04/27/2023] [Indexed: 05/11/2023] Open
Abstract
Late-life depression occurring in older adults is common, recurrent, and malignant. It is characterized by affective symptoms, but also cognitive decline, medical comorbidity, and physical disability. This behavioral and cognitive presentation results from altered function of discrete functional brain networks and circuits. A wide range of factors across the lifespan contributes to fragility and vulnerability of those networks to dysfunction. In many cases, these factors occur earlier in life and contribute to adolescent or earlier adulthood depressive episodes, where the onset was related to adverse childhood events, maladaptive personality traits, reproductive events, or other factors. Other individuals exhibit a later-life onset characterized by medical comorbidity, pro-inflammatory processes, cerebrovascular disease, or developing neurodegenerative processes. These later-life processes may not only lead to vulnerability to the affective symptoms, but also contribute to the comorbid cognitive and physical symptoms. Importantly, repeated depressive episodes themselves may accelerate the aging process by shifting allostatic processes to dysfunctional states and increasing allostatic load through the hypothalamic-pituitary-adrenal axis and inflammatory processes. Over time, this may accelerate the path of biological aging, leading to greater brain atrophy, cognitive decline, and the development of physical decline and frailty. It is unclear whether successful treatment of depression and avoidance of recurrent episodes would shift biological aging processes back towards a more normative trajectory. However, current antidepressant treatments exhibit good efficacy for older adults, including pharmacotherapy, neuromodulation, and psychotherapy, with recent work in these areas providing new guidance on optimal treatment approaches. Moreover, there is a host of nonpharmacological treatment approaches being examined that take advantage of resiliency factors and decrease vulnerability to depression. Thus, while late-life depression is a recurrent yet highly heterogeneous disorder, better phenotypic characterization provides opportunities to better utilize a range of nonspecific and targeted interventions that can promote recovery, resilience, and maintenance of remission.
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Affiliation(s)
- Sarah M Szymkowicz
- Center for Cognitive Medicine, Department of Psychiatry and Behavioral Science, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Andrew R Gerlach
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - Damek Homiack
- Department of Psychiatry, University of Illinois-Chicago, Chicago, IL, USA
| | - Warren D Taylor
- Center for Cognitive Medicine, Department of Psychiatry and Behavioral Science, Vanderbilt University Medical Center, Nashville, TN, USA.
- Geriatric Research, Education, and Clinical Center, Veterans Affairs Tennessee Valley Health System, Nashville, TN, USA.
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11
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Ahmed R, Ryan C, Christman S, Elson D, Bermudez C, Landman BA, Szymkowicz SM, Boyd BD, Kang H, Taylor WD. Structural MRI-Based Measures of Accelerated Brain Aging do not Moderate the Acute Antidepressant Response in Late-Life Depression. Am J Geriatr Psychiatry 2022; 30:1015-1025. [PMID: 34949526 PMCID: PMC9142760 DOI: 10.1016/j.jagp.2021.11.011] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/08/2021] [Revised: 11/14/2021] [Accepted: 11/21/2021] [Indexed: 01/22/2023]
Abstract
OBJECTIVE Late-life depression (LLD) is characterized by accelerated biological aging. Accelerated brain aging, estimated from structural magnetic resonance imaging (sMRI) data by a machine learning algorithm, is associated with LLD diagnosis, poorer cognitive performance, and disability. We hypothesized that accelerated brain aging moderates the antidepressant response. DESIGN AND INTERVENTIONS Following MRI, participants entered an 8-week randomized, controlled trial of escitalopram. Nonremitting participants then entered an open-label 8-week trial of bupropion. PARTICIPANTS Ninety-five individuals with LLD. MEASUREMENTS A machine learning algorithm estimated each participant's brain age from sMRI data. This was used to calculate the brain-age gap (BAG), or how estimated age differed from chronological age. Secondary sMRI measures of aging pathology included white matter hyperintensity (WMH) volumes and hippocampal volumes. Mixed models examined the relationship between sMRI measures and change in depression severity. Initial analyses tested for a moderating effect of MRI measures on change in depression severity with escitalopram. Subsequent analyses tested for the effect of MRI measures on change in depression severity over time across trials. RESULTS In the blinded initial phase, BAG was not significantly associated with a differential response to escitalopram over time. BAG was also not associated with a change in depression severity over time across both arms in the blinded phase or in the subsequent open-label bupropion phase. We similarly did not observe effects of WMH volume or hippocampal volume on change in depression severity over time. CONCLUSION sMRI markers of accelerated brain aging were not associated with treatment response in this sequential antidepressant trial.
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Affiliation(s)
- Ryan Ahmed
- School of Medicine (RA), Vanderbilt University, Nashville, TN; Department of Psychiatry and Behavioral Sciences (SC, DE, BAL, SMS, BDB, WDT), Vanderbilt University Medical Center, Nashville, TN; Department of Biomedical Engineering (CB, BAL), Vanderbilt University, Nashville TN; Department of Electrical Engineering and Computer Science (BAL), Vanderbilt University, Nashville, TN; Department of Biostatistics (HK), Vanderbilt University Medical Center, Nashville, TN; Geriatric Research, Education, and Clinical Center (WDT), Veterans Affairs Tennessee Valley Health System, Nashville, TN
| | - Claire Ryan
- School of Medicine (RA), Vanderbilt University, Nashville, TN; Department of Psychiatry and Behavioral Sciences (SC, DE, BAL, SMS, BDB, WDT), Vanderbilt University Medical Center, Nashville, TN; Department of Biomedical Engineering (CB, BAL), Vanderbilt University, Nashville TN; Department of Electrical Engineering and Computer Science (BAL), Vanderbilt University, Nashville, TN; Department of Biostatistics (HK), Vanderbilt University Medical Center, Nashville, TN; Geriatric Research, Education, and Clinical Center (WDT), Veterans Affairs Tennessee Valley Health System, Nashville, TN
| | - Seth Christman
- School of Medicine (RA), Vanderbilt University, Nashville, TN; Department of Psychiatry and Behavioral Sciences (SC, DE, BAL, SMS, BDB, WDT), Vanderbilt University Medical Center, Nashville, TN; Department of Biomedical Engineering (CB, BAL), Vanderbilt University, Nashville TN; Department of Electrical Engineering and Computer Science (BAL), Vanderbilt University, Nashville, TN; Department of Biostatistics (HK), Vanderbilt University Medical Center, Nashville, TN; Geriatric Research, Education, and Clinical Center (WDT), Veterans Affairs Tennessee Valley Health System, Nashville, TN
| | - Damian Elson
- School of Medicine (RA), Vanderbilt University, Nashville, TN; Department of Psychiatry and Behavioral Sciences (SC, DE, BAL, SMS, BDB, WDT), Vanderbilt University Medical Center, Nashville, TN; Department of Biomedical Engineering (CB, BAL), Vanderbilt University, Nashville TN; Department of Electrical Engineering and Computer Science (BAL), Vanderbilt University, Nashville, TN; Department of Biostatistics (HK), Vanderbilt University Medical Center, Nashville, TN; Geriatric Research, Education, and Clinical Center (WDT), Veterans Affairs Tennessee Valley Health System, Nashville, TN
| | - Camilo Bermudez
- School of Medicine (RA), Vanderbilt University, Nashville, TN; Department of Psychiatry and Behavioral Sciences (SC, DE, BAL, SMS, BDB, WDT), Vanderbilt University Medical Center, Nashville, TN; Department of Biomedical Engineering (CB, BAL), Vanderbilt University, Nashville TN; Department of Electrical Engineering and Computer Science (BAL), Vanderbilt University, Nashville, TN; Department of Biostatistics (HK), Vanderbilt University Medical Center, Nashville, TN; Geriatric Research, Education, and Clinical Center (WDT), Veterans Affairs Tennessee Valley Health System, Nashville, TN
| | - Bennett A Landman
- School of Medicine (RA), Vanderbilt University, Nashville, TN; Department of Psychiatry and Behavioral Sciences (SC, DE, BAL, SMS, BDB, WDT), Vanderbilt University Medical Center, Nashville, TN; Department of Biomedical Engineering (CB, BAL), Vanderbilt University, Nashville TN; Department of Electrical Engineering and Computer Science (BAL), Vanderbilt University, Nashville, TN; Department of Biostatistics (HK), Vanderbilt University Medical Center, Nashville, TN; Geriatric Research, Education, and Clinical Center (WDT), Veterans Affairs Tennessee Valley Health System, Nashville, TN
| | - Sarah M Szymkowicz
- School of Medicine (RA), Vanderbilt University, Nashville, TN; Department of Psychiatry and Behavioral Sciences (SC, DE, BAL, SMS, BDB, WDT), Vanderbilt University Medical Center, Nashville, TN; Department of Biomedical Engineering (CB, BAL), Vanderbilt University, Nashville TN; Department of Electrical Engineering and Computer Science (BAL), Vanderbilt University, Nashville, TN; Department of Biostatistics (HK), Vanderbilt University Medical Center, Nashville, TN; Geriatric Research, Education, and Clinical Center (WDT), Veterans Affairs Tennessee Valley Health System, Nashville, TN
| | - Brian D Boyd
- School of Medicine (RA), Vanderbilt University, Nashville, TN; Department of Psychiatry and Behavioral Sciences (SC, DE, BAL, SMS, BDB, WDT), Vanderbilt University Medical Center, Nashville, TN; Department of Biomedical Engineering (CB, BAL), Vanderbilt University, Nashville TN; Department of Electrical Engineering and Computer Science (BAL), Vanderbilt University, Nashville, TN; Department of Biostatistics (HK), Vanderbilt University Medical Center, Nashville, TN; Geriatric Research, Education, and Clinical Center (WDT), Veterans Affairs Tennessee Valley Health System, Nashville, TN
| | - Hakmook Kang
- School of Medicine (RA), Vanderbilt University, Nashville, TN; Department of Psychiatry and Behavioral Sciences (SC, DE, BAL, SMS, BDB, WDT), Vanderbilt University Medical Center, Nashville, TN; Department of Biomedical Engineering (CB, BAL), Vanderbilt University, Nashville TN; Department of Electrical Engineering and Computer Science (BAL), Vanderbilt University, Nashville, TN; Department of Biostatistics (HK), Vanderbilt University Medical Center, Nashville, TN; Geriatric Research, Education, and Clinical Center (WDT), Veterans Affairs Tennessee Valley Health System, Nashville, TN
| | - Warren D Taylor
- School of Medicine (RA), Vanderbilt University, Nashville, TN; Department of Psychiatry and Behavioral Sciences (SC, DE, BAL, SMS, BDB, WDT), Vanderbilt University Medical Center, Nashville, TN; Department of Biomedical Engineering (CB, BAL), Vanderbilt University, Nashville TN; Department of Electrical Engineering and Computer Science (BAL), Vanderbilt University, Nashville, TN; Department of Biostatistics (HK), Vanderbilt University Medical Center, Nashville, TN; Geriatric Research, Education, and Clinical Center (WDT), Veterans Affairs Tennessee Valley Health System, Nashville, TN.
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12
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Bein M, Lesage M, Dikaios E, Chakravarty M, Segal Z, Royal I, Speechley M, Schiavetto A, Blumberger D, Sacchet MD, Therriault J, Gruber J, Tourjman V, Richard-Devantoy S, Nair V, Bruneau MA, Rej S, Lifshitz M, Sekhon H. Mindfulness-based cognitive therapy vs. a health enhancement program for the treatment of late-life depression: Study protocol for a multi-site randomized controlled trial. Front Aging Neurosci 2022; 14:976636. [PMID: 36118690 PMCID: PMC9476649 DOI: 10.3389/fnagi.2022.976636] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2022] [Accepted: 08/11/2022] [Indexed: 11/13/2022] Open
Abstract
BackgroundLate-life depression (LLD) affects up to 18% of older adults and has been linked to elevated dementia risk. Mindfulness-based cognitive therapy (MBCT) holds promise for treating symptoms of depression and ameliorating cognitive deficits in older adults. While preliminary findings are promising, a definitive RCT investigating its effects on late life depression and cognition have not yet been conducted. We present a protocol describing a multi-site blinded randomized controlled trial, comparing the effects of MBCT and of an active control, a Health Enhancement Program (HEP), on depressive symptoms, executive functioning, and brain biomarkers of LLD, among several other exploratory outcomes.MethodsTwo-hundred and thirteen (n = 213) patients with LLD will be recruited at various centers in Montreal, QC, Canada. Participants will undergo stratified randomization to either MBCT or HEP intervention groups. We will assess changes in (1) depression severity using the Hamilton Depression Rating Scale (HAM-D17), (2) processing speed and executive functioning, (3) brain biomarkers of LLD (hippocampal volume, default network resting-state functional connectivity and executive network resting-state functional connectivity), and (4) other exploratory physiological and mood-based measures, at baseline (0 weeks), post intervention (8 weeks), and 26 weeks after baseline.DiscussionThe proposed study will assess the clinical potential of MBCT to improve symptoms of depression, as well as examine its impact on cognitive impairments and neurobiological markers, and thus inform its use as a promising adjunct in the treatment of LLD.Clinical trial registrationwww.ClinicalTrials.gov, identifier: NCT05366088.
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Affiliation(s)
- Magnus Bein
- Department of Psychiatry, GeriPARTy Research Group, Jewish General Hospital, Montréal, QC, Canada
| | - Myriam Lesage
- Department of Psychiatry, GeriPARTy Research Group, Jewish General Hospital, Montréal, QC, Canada
| | - Elena Dikaios
- Department of Psychiatry, GeriPARTy Research Group, Jewish General Hospital, Montréal, QC, Canada
| | - Mallar Chakravarty
- Departments of Biological and Biomedical Engineering and Psychiatry, Centre d'imagerie cérébrale, Douglas Mental Health Institute, Verdun, QC, Canada
| | - Zindel Segal
- University of Toronto–Scarborough, Toronto, ON, Canada
| | - Isabelle Royal
- Neuropsychology Service, Department of Psychiatry, Jewish General Hospital, Montréal, QC, Canada
| | - Mark Speechley
- Department of Epidemiology and Biostatistics, University of Western Ontario, London, ON, Canada
| | - Alessandra Schiavetto
- Department of Psychiatry, Jewish General Hospital, McGill University, Montréal, QC, Canada
| | - Daniel Blumberger
- Department of Psychiatry, Centre for Addiction and Mental Health, University of Toronto, Toronto, ON, Canada
| | - Matthew D. Sacchet
- Meditation Research Program, Department of Psychiatry, Harvard Medical School, Massachusetts General Hospital, Boston, MA, United States
| | - Joseph Therriault
- Department of Neurology and Neurosurgery, Translational Neuroimaging Laboratory, McGill Research Centre for Studies in Aging, Douglas Mental Health Institute, Le Centre intégré universitaire de santé et de services sociaux (CIUSSS) de l'Ouest de l'Île de Montréal, Montréal, QC, Canada
| | - Johanna Gruber
- Department of Psychiatry, GeriPARTy Research Group, Jewish General Hospital, Montréal, QC, Canada
| | - Valerie Tourjman
- Department of Psychiatry, Institut Universitaire en Santé Mentale de Montréal, Montréal, QC, Canada
| | | | - Vasavan Nair
- Department of Psychiatry, Douglas Mental Health Institute, Verdun, QC, Canada
| | - Marie-Andrée Bruneau
- Département de psychiatrie et d'addictologie, Research Centre, Institut Universitaire de Gériatrie de Montréal, Montréal, QC, Canada
| | - Soham Rej
- Department of Psychiatry, GeriPARTy Research Group, Jewish General Hospital, Montréal, QC, Canada
- Department of Psychiatry, Jewish General Hospital, McGill University, Montréal, QC, Canada
- *Correspondence: Soham Rej
| | - Michael Lifshitz
- Department of Psychiatry, Jewish General Hospital, McGill University, Montréal, QC, Canada
- Division of Social and Transcultural Psychiatry, Department of Psychiatry, McGill University, Montréal, QC, Canada
| | - Harmehr Sekhon
- Department of Psychiatry, GeriPARTy Research Group, Jewish General Hospital, Montréal, QC, Canada
- Division of Geriatric Psychiatry, Harvard Medical School, McLean Hospital, Cambridge, MA, United States
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13
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Lemke H, Klute H, Skupski J, Thiel K, Waltemate L, Winter A, Breuer F, Meinert S, Klug M, Enneking V, Winter NR, Grotegerd D, Leehr EJ, Repple J, Dohm K, Opel N, Stein F, Meller T, Brosch K, Ringwald KG, Pfarr JK, Thomas-Odenthal F, Hahn T, Krug A, Jansen A, Heindel W, Nenadić I, Kircher T, Dannlowski U. Brain structural correlates of recurrence following the first episode in patients with major depressive disorder. Transl Psychiatry 2022; 12:349. [PMID: 36030219 PMCID: PMC9420111 DOI: 10.1038/s41398-022-02113-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/04/2022] [Revised: 08/09/2022] [Accepted: 08/11/2022] [Indexed: 11/11/2022] Open
Abstract
Former prospective studies showed that the occurrence of relapse in Major Depressive Disorder (MDD) is associated with volume loss in the insula, hippocampus and dorsolateral prefrontal cortex (DLPFC). However, these studies were confounded by the patient's lifetime disease history, as the number of previous episodes predict future recurrence. In order to analyze neural correlates of recurrence irrespective of prior disease course, this study prospectively examined changes in brain structure in patients with first-episode depression (FED) over 2 years. N = 63 FED patients and n = 63 healthy controls (HC) underwent structural magnetic resonance imaging at baseline and after 2 years. According to their disease course during the follow-up interval, patients were grouped into n = 21 FED patients with recurrence (FEDrec) during follow-up and n = 42 FED patients with stable remission (FEDrem). Gray matter volume changes were analysed using group by time interaction analyses of covariance for the DLPFC, hippocampus and insula. Significant group by time interactions in the DLPFC and insula emerged. Pairwise comparisons showed that FEDrec had greater volume decline in the DLPFC and insula from baseline to follow-up compared with FEDrem and HC. No group by time interactions in the hippocampus were found. Cross-sectional analyses at baseline and follow-up revealed no differences between groups. This longitudinal study provides evidence for neural alterations in the DLPFC and insula related to a detrimental course in MDD. These effects of recurrence are already detectable at initial stages of MDD and seem to occur without any prior disease history, emphasizing the importance of early interventions preventing depressive recurrence.
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Affiliation(s)
- Hannah Lemke
- grid.5949.10000 0001 2172 9288Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Hannah Klute
- grid.5949.10000 0001 2172 9288Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Jennifer Skupski
- grid.5949.10000 0001 2172 9288Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Katharina Thiel
- grid.5949.10000 0001 2172 9288Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Lena Waltemate
- grid.5949.10000 0001 2172 9288Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Alexandra Winter
- grid.5949.10000 0001 2172 9288Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Fabian Breuer
- grid.5949.10000 0001 2172 9288Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Susanne Meinert
- grid.5949.10000 0001 2172 9288Institute for Translational Psychiatry, University of Münster, Münster, Germany ,grid.5949.10000 0001 2172 9288Institute for Translational Neuroscience, University of Münster, Münster, Germany
| | - Melissa Klug
- grid.5949.10000 0001 2172 9288Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Verena Enneking
- grid.5949.10000 0001 2172 9288Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Nils R. Winter
- grid.5949.10000 0001 2172 9288Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Dominik Grotegerd
- grid.5949.10000 0001 2172 9288Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Elisabeth J. Leehr
- grid.5949.10000 0001 2172 9288Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Jonathan Repple
- grid.5949.10000 0001 2172 9288Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Katharina Dohm
- grid.5949.10000 0001 2172 9288Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Nils Opel
- grid.5949.10000 0001 2172 9288Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Frederike Stein
- grid.10253.350000 0004 1936 9756Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany
| | - Tina Meller
- grid.10253.350000 0004 1936 9756Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany
| | - Katharina Brosch
- grid.10253.350000 0004 1936 9756Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany
| | - Kai G. Ringwald
- grid.10253.350000 0004 1936 9756Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany
| | - Julia-Katharina Pfarr
- grid.10253.350000 0004 1936 9756Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany
| | - Florian Thomas-Odenthal
- grid.10253.350000 0004 1936 9756Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany
| | - Tim Hahn
- grid.5949.10000 0001 2172 9288Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Axel Krug
- grid.10253.350000 0004 1936 9756Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany ,grid.10388.320000 0001 2240 3300Department of Psychiatry and Psychotherapy, University of Bonn, Bonn, Germany
| | - Andreas Jansen
- grid.10253.350000 0004 1936 9756Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany
| | - Walter Heindel
- grid.5949.10000 0001 2172 9288University Clinic for Radiology, University of Münster, Münster, Germany
| | - Igor Nenadić
- grid.10253.350000 0004 1936 9756Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany
| | - Tilo Kircher
- grid.10253.350000 0004 1936 9756Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany
| | - Udo Dannlowski
- Institute for Translational Psychiatry, University of Münster, Münster, Germany.
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Gerlach AR, Karim HT, Peciña M, Ajilore O, Taylor WD, Butters MA, Andreescu C. MRI predictors of pharmacotherapy response in major depressive disorder. Neuroimage Clin 2022; 36:103157. [PMID: 36027717 PMCID: PMC9420953 DOI: 10.1016/j.nicl.2022.103157] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2022] [Revised: 07/11/2022] [Accepted: 08/15/2022] [Indexed: 02/08/2023]
Abstract
Major depressive disorder is among the most prevalent psychiatric disorders, exacting a substantial personal, social, and economic toll. Antidepressant treatment typically involves an individualized trial and error approach with an inconsistent success rate. Despite a pressing need, no reliable biomarkers for predicting treatment outcome have yet been discovered. Brain MRI measures hold promise in this regard, though clinical translation remains elusive. In this review, we summarize structural MRI and functional MRI (fMRI) measures that have been investigated as predictors of treatment outcome. We broadly divide these into five categories including three structural measures: volumetric, white matter burden, and white matter integrity; and two functional measures: resting state fMRI and task fMRI. Currently, larger hippocampal volume is the most widely replicated predictor of successful treatment. Lower white matter hyperintensity burden has shown robustness in late life depression. However, both have modest discriminative power. Higher fractional anisotropy of the cingulum bundle and frontal white matter, amygdala hypoactivation and anterior cingulate cortex hyperactivation in response to negative emotional stimuli, and hyperconnectivity within the default mode network (DMN) and between the DMN and executive control network also show promise as predictors of successful treatment. Such network-focused measures may ultimately provide a higher-dimensional measure of treatment response with closer ties to the underlying neurobiology.
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Affiliation(s)
- Andrew R Gerlach
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - Helmet T Karim
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA; Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA, USA
| | - Marta Peciña
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - Olusola Ajilore
- Department of Psychiatry, University of Illinois-Chicago, Chicago, IL, USA
| | - Warren D Taylor
- Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, TN, USA; Geriatric Research, Education, and Clinical Center, Veterans Affairs Tennessee Valley Health System, Nashville, TN, USA
| | - Meryl A Butters
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - Carmen Andreescu
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA.
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15
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Chen C, Wang X, Nasreddine Belkacem A, Sha S, Zhao X, Wang C. Utilization of passive visual perception task indetecting patients with major depressive disorder for active health. Methods 2022; 205:226-231. [PMID: 35810959 DOI: 10.1016/j.ymeth.2022.07.005] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2022] [Revised: 07/03/2022] [Accepted: 07/04/2022] [Indexed: 12/21/2022] Open
Abstract
Depression is a common emotional and mental disease. At present, doctors' diagnosis mainly depends on the existing evaluation scales and their accumulated experience, lack of objective electrophysiological quantitative evaluation indicators. This study explores the difference in event-related potential (ERP) between patients with depression and healthy controls under the stimulation of multi-dimensional tasks, extracts the characteristic data, and uses a t-test for statistical analysis to provide an objective evaluation index for the clinical diagnosis of depression. Ninety-nine patients in the major depression group (MDD) and thirty patients in the healthy control group (HC) were used to compare the responses to positive, negative, and neutral stimulation, the results showed that there were significant differences between the left and right occipital lobes and one frontal lobe, and the frontal lobe showed lateralization; There were significant differences between the depression group and the healthy control group under multi-dimensional stimulation (P < 0.01), and the depression patients were significantly lower than the healthy patients. The results showed that emotional information was processed differently in patients with depression in the early stages of visual face processing. Therefore, EEG indices could be used as an objective index for the early detection of depression. Moreover, according to the instructions before the test, the subject is only asked to recognize visual pictures instead report emotional feelings. Stigma about psychiatric disorders could thus be reduced in this way. The explorations above facilitate designing more accurate and implicit active mental health techniques.
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Affiliation(s)
- Chao Chen
- Key Laboratory of Complex System Control Theory and Application, Tianjin University of Technology, Tianjin 300384, China; Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin 300072, China; Brain-inspired Intelligence and Clinical Translational Research Center, Xuanwu Hospital, Capital Medical University, Beijing 100053, China
| | - Xin Wang
- Key Laboratory of Complex System Control Theory and Application, Tianjin University of Technology, Tianjin 300384, China; Brain-inspired Intelligence and Clinical Translational Research Center, Xuanwu Hospital, Capital Medical University, Beijing 100053, China
| | - Abdelkader Nasreddine Belkacem
- Department of Computer and Network Engineering, College of Information Technology, UAE University, Al Ain 15551, UAE; Brain-inspired Intelligence and Clinical Translational Research Center, Xuanwu Hospital, Capital Medical University, Beijing 100053, China
| | - Sha Sha
- Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing 100088, China; Brain-inspired Intelligence and Clinical Translational Research Center, Xuanwu Hospital, Capital Medical University, Beijing 100053, China
| | - Xixi Zhao
- Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing 100088, China; Brain-inspired Intelligence and Clinical Translational Research Center, Xuanwu Hospital, Capital Medical University, Beijing 100053, China
| | - Changming Wang
- Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing 100088, China; Department of Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing 100053, China; Brain-inspired Intelligence and Clinical Translational Research Center, Xuanwu Hospital, Capital Medical University, Beijing 100053, China.
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16
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Wang G, Liu Y, Zhu X, Lin K, Li M, Wu Z, Zhang R, Zheng Q, Li D, An T. Knockdown of miRNA-134-5p rescues dendritic deficits by promoting AMPK-mediated mitophagy in a mouse model of depression. Neuropharmacology 2022; 214:109154. [PMID: 35659969 DOI: 10.1016/j.neuropharm.2022.109154] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2022] [Revised: 05/23/2022] [Accepted: 05/29/2022] [Indexed: 12/28/2022]
Abstract
Neuronal dendrites and dendritic spines are essential for normal synaptic transmission and may be critically involved in the pathophysiology of various neurological disorders, including depression. Emerging data supports the role of mitochondria in dendritic protrusions in modulating the development and morphological plasticity of spines. Mitophagy, a mitochondria-specific form of autophagy, is the fundamental process of clearing damaged mitochondria to maintain cellular homeostasis. As a brain-specific microRNA, miR-134 is localized to the synaptodendritic compartment of hippocampal neurons and negatively regulates the development of dendritic spines. However, the role of miR-134 in mitophagy related to dendritic deficits in the pathophysiology of depression remains unclear. In this study, we showed that miR-134-5p knockdown abrogated depressive-like behavioral symptoms and corrected aberrant spine morphology in hippocampal neurons of chronic unpredictable mild stress (CUMS) mice. Moreover, knockdown of miR-134-5p triggered autophagy in dendrites, improved mitochondrial impairment, and induced the generation of autophagosomes in the hippocampus of CUMS mice. We further found that AMP-activated protein kinase (AMPK), which mediates the impairment of defective mitochondria via mitophagy, can bind directly to miR-134-5p and is negatively regulated by this miRNA. This study demonstrates that miR-134-5p exerts an enormous effect on dendritic deficits by promoting AMPK-mediated mitophagy and provides a potential new target for antidepressant drug research and development.
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Affiliation(s)
- Guoli Wang
- Yantai Key Laboratory of Pharmacology of Traditional Chinese Medicine in Tumor Metabolism, School of Integrated Traditional Chinese and Western Medicine, Binzhou Medical University, Yantai, Shandong, PR China; Collaborative Innovation Platform for Modernization and Industrialization of Regional Characteristic Traditional Chinese Medicine, School of Integrated Traditional Chinese and Western Medicine, Binzhou Medical University, Yantai, Shandong, PR China
| | - Ying Liu
- Yantai Key Laboratory of Pharmacology of Traditional Chinese Medicine in Tumor Metabolism, School of Integrated Traditional Chinese and Western Medicine, Binzhou Medical University, Yantai, Shandong, PR China
| | - Xuejie Zhu
- Yantai Key Laboratory of Pharmacology of Traditional Chinese Medicine in Tumor Metabolism, School of Integrated Traditional Chinese and Western Medicine, Binzhou Medical University, Yantai, Shandong, PR China
| | - Kehao Lin
- Yantai Key Laboratory of Pharmacology of Traditional Chinese Medicine in Tumor Metabolism, School of Integrated Traditional Chinese and Western Medicine, Binzhou Medical University, Yantai, Shandong, PR China
| | - Mingkai Li
- Yantai Key Laboratory of Pharmacology of Traditional Chinese Medicine in Tumor Metabolism, School of Integrated Traditional Chinese and Western Medicine, Binzhou Medical University, Yantai, Shandong, PR China
| | - Zhenke Wu
- Yantai Key Laboratory of Pharmacology of Traditional Chinese Medicine in Tumor Metabolism, School of Integrated Traditional Chinese and Western Medicine, Binzhou Medical University, Yantai, Shandong, PR China
| | - Ronghua Zhang
- School of Pharmacy, Jinan University, Guangzhou, Guangdong, PR China
| | - Qiusheng Zheng
- Yantai Key Laboratory of Pharmacology of Traditional Chinese Medicine in Tumor Metabolism, School of Integrated Traditional Chinese and Western Medicine, Binzhou Medical University, Yantai, Shandong, PR China; Collaborative Innovation Platform for Modernization and Industrialization of Regional Characteristic Traditional Chinese Medicine, School of Integrated Traditional Chinese and Western Medicine, Binzhou Medical University, Yantai, Shandong, PR China.
| | - Defang Li
- Yantai Key Laboratory of Pharmacology of Traditional Chinese Medicine in Tumor Metabolism, School of Integrated Traditional Chinese and Western Medicine, Binzhou Medical University, Yantai, Shandong, PR China; Collaborative Innovation Platform for Modernization and Industrialization of Regional Characteristic Traditional Chinese Medicine, School of Integrated Traditional Chinese and Western Medicine, Binzhou Medical University, Yantai, Shandong, PR China.
| | - Tianyue An
- Yantai Key Laboratory of Pharmacology of Traditional Chinese Medicine in Tumor Metabolism, School of Integrated Traditional Chinese and Western Medicine, Binzhou Medical University, Yantai, Shandong, PR China; Collaborative Innovation Platform for Modernization and Industrialization of Regional Characteristic Traditional Chinese Medicine, School of Integrated Traditional Chinese and Western Medicine, Binzhou Medical University, Yantai, Shandong, PR China.
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17
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Serrano ME, Kim E, Petrinovic MM, Turkheimer F, Cash D. Imaging Synaptic Density: The Next Holy Grail of Neuroscience? Front Neurosci 2022; 16:796129. [PMID: 35401097 PMCID: PMC8990757 DOI: 10.3389/fnins.2022.796129] [Citation(s) in RCA: 24] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2021] [Accepted: 02/15/2022] [Indexed: 12/19/2022] Open
Abstract
The brain is the central and most complex organ in the nervous system, comprising billions of neurons that constantly communicate through trillions of connections called synapses. Despite being formed mainly during prenatal and early postnatal development, synapses are continually refined and eliminated throughout life via complicated and hitherto incompletely understood mechanisms. Failure to correctly regulate the numbers and distribution of synapses has been associated with many neurological and psychiatric disorders, including autism, epilepsy, Alzheimer’s disease, and schizophrenia. Therefore, measurements of brain synaptic density, as well as early detection of synaptic dysfunction, are essential for understanding normal and abnormal brain development. To date, multiple synaptic density markers have been proposed and investigated in experimental models of brain disorders. The majority of the gold standard methodologies (e.g., electron microscopy or immunohistochemistry) visualize synapses or measure changes in pre- and postsynaptic proteins ex vivo. However, the invasive nature of these classic methodologies precludes their use in living organisms. The recent development of positron emission tomography (PET) tracers [such as (18F)UCB-H or (11C)UCB-J] that bind to a putative synaptic density marker, the synaptic vesicle 2A (SV2A) protein, is heralding a likely paradigm shift in detecting synaptic alterations in patients. Despite their limited specificity, novel, non-invasive magnetic resonance (MR)-based methods also show promise in inferring synaptic information by linking to glutamate neurotransmission. Although promising, all these methods entail various advantages and limitations that must be addressed before becoming part of routine clinical practice. In this review, we summarize and discuss current ex vivo and in vivo methods of quantifying synaptic density, including an evaluation of their reliability and experimental utility. We conclude with a critical assessment of challenges that need to be overcome before successfully employing synaptic density biomarkers as diagnostic and/or prognostic tools in the study of neurological and neuropsychiatric disorders.
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Affiliation(s)
- Maria Elisa Serrano
- Department of Neuroimaging, The BRAIN Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom.,Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, Kings College London, London, United Kingdom
| | - Eugene Kim
- Department of Neuroimaging, The BRAIN Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom.,Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, Kings College London, London, United Kingdom
| | - Marija M Petrinovic
- Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom.,MRC Centre for Neurodevelopmental Disorders, King's College London, London, United Kingdom
| | - Federico Turkheimer
- Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, Kings College London, London, United Kingdom
| | - Diana Cash
- Department of Neuroimaging, The BRAIN Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom.,Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, Kings College London, London, United Kingdom
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18
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Emsell L, Vanhaute H, Vansteelandt K, De Winter FL, Christiaens D, Van den Stock J, Vandenberghe R, Van Laere K, Sunaert S, Bouckaert F, Vandenbulcke M. An optimized MRI and PET based clinical protocol for improving the differential diagnosis of geriatric depression and Alzheimer's disease. Psychiatry Res Neuroimaging 2022; 320:111443. [PMID: 35091333 DOI: 10.1016/j.pscychresns.2022.111443] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/06/2021] [Revised: 09/28/2021] [Accepted: 01/12/2022] [Indexed: 11/16/2022]
Abstract
Amyloid positron emission tomography (PET) and hippocampal volume derived from magnetic resonance imaging may be useful clinical biomarkers for differentiating between geriatric depression and Alzheimer's disease (AD). Here we investigated the incremental value of using hippocampal volume and 18F-flutemetmol amyloid PET measures in tandem and sequentially to improve discrimination in unclassified participants. Two approaches were compared in 41 participants with geriatric depression and 27 participants with probable AD: (1) amyloid and hippocampal volume combined in one model and (2) classification based on hippocampal volume first and then subsequent stratification using standardized uptake value ratio (SUVR)-determined amyloid positivity. Hippocampal volume and amyloid SUVR were significant diagnostic predictors of depression (sensitivity: 95%, specificity: 89%). 51% of participants were correctly classified according to clinical diagnosis based on hippocampal volume alone, increasing to 87% when adding amyloid data (sensitivity: 94%, specificity: 78%). Our results suggest that hippocampal volume may be a useful gatekeeper for identifying depressed individuals at risk for AD who would benefit from additional amyloid biomarkers when available.
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Affiliation(s)
- Louise Emsell
- Geriatric Psychiatry, UPC KU Leuven, Leuven, Belgium; Department of Neurosciences, Neuropsychiatry, KU Leuven, Leuven, Belgium; Department of Imaging & Pathology, Translational MRI, Medical Imaging Research Center, KU Leuven, UZ Leuven (Gasthuisberg), Leuven 3000, Belgium.
| | - Heleen Vanhaute
- Geriatric Psychiatry, UPC KU Leuven, Leuven, Belgium; Department of Imaging & Pathology, Nuclear Medicine and Molecular Imaging, KU Leuven, Leuven, Belgium; Nuclear Medicine, University Hospitals Leuven, Herestraat 49, Leuven 3000, Belgium
| | - Kristof Vansteelandt
- Geriatric Psychiatry, UPC KU Leuven, Leuven, Belgium; Department of Neurosciences, Neuropsychiatry, KU Leuven, Leuven, Belgium.
| | - François-Laurent De Winter
- Geriatric Psychiatry, UPC KU Leuven, Leuven, Belgium; Department of Neurosciences, Neuropsychiatry, KU Leuven, Leuven, Belgium.
| | - Danny Christiaens
- Department of Neurosciences, Neuropsychiatry, KU Leuven, Leuven, Belgium
| | - Jan Van den Stock
- Geriatric Psychiatry, UPC KU Leuven, Leuven, Belgium; Department of Neurosciences, Neuropsychiatry, KU Leuven, Leuven, Belgium.
| | - Rik Vandenberghe
- Department of Neurosciences, Laboratory for Cognitive Neurology, KU Leuven, Leuven, Belgium.
| | - Koen Van Laere
- Department of Imaging & Pathology, Nuclear Medicine and Molecular Imaging, KU Leuven, Leuven, Belgium; Nuclear Medicine, University Hospitals Leuven, Herestraat 49, Leuven 3000, Belgium.
| | - Stefan Sunaert
- Department of Imaging & Pathology, Translational MRI, Medical Imaging Research Center, KU Leuven, UZ Leuven (Gasthuisberg), Leuven 3000, Belgium; Department of Radiology, University Hospitals Leuven, Herestraat 49, Leuven 3000, Belgium.
| | - Filip Bouckaert
- Geriatric Psychiatry, UPC KU Leuven, Leuven, Belgium; Department of Neurosciences, Neuropsychiatry, KU Leuven, Leuven, Belgium.
| | - Mathieu Vandenbulcke
- Geriatric Psychiatry, UPC KU Leuven, Leuven, Belgium; Department of Neurosciences, Neuropsychiatry, KU Leuven, Leuven, Belgium.
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19
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Guo P, Chen S, Wang H, Wang Y, Wang J. A Systematic Analysis on the Genes and Their Interaction Underlying the Comorbidity of Alzheimer's Disease and Major Depressive Disorder. Front Aging Neurosci 2022; 13:789698. [PMID: 35126089 PMCID: PMC8810513 DOI: 10.3389/fnagi.2021.789698] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2021] [Accepted: 12/20/2021] [Indexed: 12/21/2022] Open
Abstract
Background During the past years, clinical and epidemiological studies have indicated a close relationship between Alzheimer's disease (AD) and other mental disorders like major depressive disorder (MDD). At the same time, a number of genes genetically associated with AD or MDD have been detected. However, our knowledge on the mechanisms that link the two disorders is still incomplete, and controversies exist. In such a situation, a systematic analysis on these genes could provide clues to understand the molecular features of two disorders and their comorbidity. Methods In this study, we compiled the genes reported to be associated with AD or MDD by a comprehensive search of human genetic studies and genes curated in disease-related database. Then, we investigated the features of the shared genes between AD and MDD using the functional enrichment analysis. Furthermore, the major biochemical pathways enriched in the AD- or MDD-associated genes were identified, and the cross talks between the pathways were analyzed. In addition, novel candidate genes related to AD and MDD were predicted in the context of human protein-protein interactome. Results We obtained 650 AD-associated genes, 447 MDD-associated genes, and 77 shared genes between AD and MDD. The functional analysis revealed that biological processes involved in cognition, neural development, synaptic transmission, and immune-related processes were enriched in the common genes, indicating a complex mechanism underlying the comorbidity of the two diseases. In addition, we conducted the pathway enrichment analysis and found 102 shared pathways between AD and MDD, which involved in neuronal development, endocrine, cell growth, and immune response. By using the pathway cross-talk analysis, we found that these pathways could be roughly clustered into four modules, i.e., the immune response-related module, the neurodevelopmental module, the cancer or cell growth module, and the endocrine module. Furthermore, we obtained 37 novel candidate genes potentially related to AD and MDD with node degrees > 5.0 by mapping the shared genes to human protein-protein interaction network (PPIN). Finally, we found that 37 novel candidate genes are significantly expressed in the brain. Conclusion These results indicated shared biological processes and pathways between AD and MDD and provided hints for the comorbidity of AD and MDD.
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Affiliation(s)
- Pan Guo
- School of Biomedical Engineering, Tianjin Medical University, Tianjin, China
| | - Shasha Chen
- School of Biomedical Engineering, Tianjin Medical University, Tianjin, China
| | - Hao Wang
- School of Biomedical Engineering, Tianjin Medical University, Tianjin, China
| | - Yaogang Wang
- School of Public Health, Tianjin Medical University, Tianjin, China
- *Correspondence: Yaogang Wang
| | - Ju Wang
- School of Biomedical Engineering, Tianjin Medical University, Tianjin, China
- Ju Wang
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20
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Kwok JOT, Yan RWK, Kwok CPC, Cheng GWH, Lin C, Wong BHC, Cheng ST, Lee ATC, Lam LCW. Common mental disorders during the COVID-19 pandemic in Hong Kong: Age-related differences and implications for dementia risk. Front Psychiatry 2022; 13:909162. [PMID: 36186878 PMCID: PMC9515428 DOI: 10.3389/fpsyt.2022.909162] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/31/2022] [Accepted: 08/24/2022] [Indexed: 11/24/2022] Open
Abstract
BACKGROUND The COVID-19 pandemic has imposed a profound negative impact on the mental health and wellbeing of societies and individuals worldwide. Older adults may be more vulnerable to the mental health effects of the pandemic, either directly from the infection itself or indirectly through the preventive measures. However, the existing literature on mental health in the older age groups has not been consistent so far. The aim of this study was therefore to assess the prevalence of common mental disorders (CMD; including depression and anxiety disorders) given their association with dementia risk, and to further examine age-related differences between older (≥60 years old) and younger (18-59 years old) adult's psychological status during the COVID-19 pandemic. METHOD This was a secondary analysis of a cross-sectional survey-study conducted during the second wave of COVID-19 pandemic in Hong Kong. The survey was disseminated through different social media platforms to the general population and included sociodemographic questions, self-reported physical health, and previous encounter with SARS or COVID-19. CMD was the primary outcome and was assessed using the 6-item Kessler Scale. A total of 1030 adults fulfilled inclusion criteria. RESULTS The prevalence of CMD during the pandemic was 16.1%. Compared to younger adults, older adults were significantly less likely to have a CMD (unadjusted OR = 0.07, 95% CI = 0.02-0.30, p < 0.001), with 18.1% of younger adults having CMD compared to 1.6% in the older cohort. Age differences remained significant after controlling for sociodemographic factors, physical health, and previous encounter with SARS or COVID-19 (adjusted OR = 0.12, 95% CI = 0.02-0.57, p = 0.008). CONCLUSION Common mental disorders are highly prevalent during the COVID-19 pandemic in Hong Kong, though older adults appeared to be less affected mentally. Present findings highlight the urgent need to implement measures and strategies to mitigate the mental health problems, with particular attention to the younger cohort. Given their association with higher dementia risk, early detection and treatment of depression and anxiety disorders will be of critical importance in providing some relief to the already pressurized dementia burden in the longer term.
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Affiliation(s)
- Jessie O T Kwok
- Department of Psychiatry, The Chinese University of Hong Kong, Hong Kong, Hong Kong SAR, China
| | - Rachel W K Yan
- Department of Psychiatry, The Chinese University of Hong Kong, Hong Kong, Hong Kong SAR, China
| | - Charlotte P C Kwok
- Department of Psychiatry, The Chinese University of Hong Kong, Hong Kong, Hong Kong SAR, China
| | - Gabriel W H Cheng
- Department of Psychiatry, The Chinese University of Hong Kong, Hong Kong, Hong Kong SAR, China
| | - Cuichan Lin
- Department of Psychiatry, The Chinese University of Hong Kong, Hong Kong, Hong Kong SAR, China
| | - Brian H C Wong
- Department of Psychiatry, Tai Po Hospital, Hong Kong, Hong Kong SAR, China
| | - Sheung Tak Cheng
- Department of Health and Physical Education, The Education University of Hong Kong, Hong Kong, Hong Kong SAR, China
| | - Allen T C Lee
- Department of Psychiatry, The Chinese University of Hong Kong, Hong Kong, Hong Kong SAR, China
| | - Linda C W Lam
- Department of Psychiatry, The Chinese University of Hong Kong, Hong Kong, Hong Kong SAR, China
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21
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Influences of dopaminergic system dysfunction on late-life depression. Mol Psychiatry 2022; 27:180-191. [PMID: 34404915 PMCID: PMC8850529 DOI: 10.1038/s41380-021-01265-0] [Citation(s) in RCA: 21] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/28/2021] [Revised: 07/28/2021] [Accepted: 08/04/2021] [Indexed: 12/15/2022]
Abstract
Deficits in cognition, reward processing, and motor function are clinical features relevant to both aging and depression. Individuals with late-life depression often show impairment across these domains, all of which are moderated by the functioning of dopaminergic circuits. As dopaminergic function declines with normal aging and increased inflammatory burden, the role of dopamine may be particularly salient for late-life depression. We review the literature examining the role of dopamine in the pathogenesis of depression, as well as how dopamine function changes with aging and is influenced by inflammation. Applying a Research Domain Criteria (RDoC) Initiative perspective, we then review work examining how dopaminergic signaling affects these domains, specifically focusing on Cognitive, Positive Valence, and Sensorimotor Systems. We propose a unified model incorporating the effects of aging and low-grade inflammation on dopaminergic functioning, with a resulting negative effect on cognition, reward processing, and motor function. Interplay between these systems may influence development of a depressive phenotype, with an initial deficit in one domain reinforcing decline in others. This model extends RDoC concepts into late-life depression while also providing opportunities for novel and personalized interventions.
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22
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Burman DD. Topography of hippocampal connectivity with sensorimotor cortex revealed by optimizing smoothing kernel and voxel size. PLoS One 2021; 16:e0260245. [PMID: 34874961 PMCID: PMC8651104 DOI: 10.1371/journal.pone.0260245] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2020] [Accepted: 11/05/2021] [Indexed: 11/18/2022] Open
Abstract
Studies of the hippocampus use smaller voxel sizes and smoothing kernels than cortical activation studies, typically using a multivoxel seed with specified radius for connectivity analysis. This study identified optimal processing parameters for evaluating hippocampal connectivity with sensorimotor cortex (SMC), comparing effectiveness by varying parameters during both activation and connectivity analysis. Using both 3mm and 4mm isovoxels, smoothing kernels of 0-10mm were evaluated on the amplitude and extent of motor activation and hippocampal connectivity with SMC. Psychophysiological interactions (PPI) identified hippocampal connectivity with SMC during volitional movements, and connectivity effects from multivoxel seeds were compared with alternate methods; a structural seed represented the mean connectivity map from all voxels within a region, whereas a functional seed represented the regional voxel with maximal SMC connectivity. With few exceptions, the same parameters were optimal for activation and connectivity. Larger isovoxels showed larger activation volumes in both SMC and the hippocampus; connectivity volumes from structural seeds were also larger, except from the posterior hippocampus. Regardless of voxel size, the 10mm smoothing kernel generated larger activation and connectivity volumes from structural seeds, as well as larger beta estimates at connectivity maxima; structural seeds also produced larger connectivity volumes than multivoxel seeds. Functional seeds showed lesser effects from voxel size and smoothing kernels. Optimal parameters revealed topography in structural seed connectivity along both the longitudinal axis and mediolateral axis of the hippocampus. These results indicate larger voxels and smoothing kernels can improve sensitivity for detecting both cortical activation and hippocampal connectivity.
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Affiliation(s)
- Douglas D. Burman
- Department of Radiology, NorthShore University HealthSystem, Evanston, Illinois, United States of America
- * E-mail:
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23
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Chae WR, Fuentes-Casañ M, Gutknecht F, Ljubez A, Gold SM, Wingenfeld K, Otte C. Early-onset late-life depression: Association with body mass index, obesity, and treatment response. COMPREHENSIVE PSYCHONEUROENDOCRINOLOGY 2021; 8:100096. [PMID: 35757669 PMCID: PMC9216262 DOI: 10.1016/j.cpnec.2021.100096] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2021] [Revised: 10/19/2021] [Accepted: 10/22/2021] [Indexed: 11/20/2022] Open
Abstract
Early-onset (EOD) and late-onset (LOD) late-life depression might differ in etiology, clinical features, and treatment response. While EOD is more frequently associated with a family history of affective disorders and personality aspects, LOD is thought to be more strongly driven by acquired cerebrovascular risk factors associated with vascular pathology, executive dysfunction, and poor treatment response. However, in a systematic review, EOD and LOD only differed in the frequency of affective disorders in the family history. We compared EOD versus LOD using medical records. In this retrospective chart review, elderly depressed patients (N = 108; mean age: 69.0 ± 7.2 years) were characterized by sociodemographic, psychiatric, and somatic variables and divided according to age-at-onset (cut-off: 60 years): EOD (N = 67, mean age-at-onset: 40.2 ± 13.6 years) and LOD (N = 41, 67.5 ± 6.3 years). A family history of affective disorders was more common in EOD than LOD patients (49.2% vs. 19.5%). EOD patients had a higher body mass index (mean: 27.0 kg/m2 vs. 23.1 kg/m2) and were more often obese compared with LOD patients (20% vs. 0%). There were fewer treatment responders in the EOD group than in the LOD group on trend level significance (46.3% vs. 63.4%). Higher frequency of affective disorders in the family history is compatible with a greater genetic risk of EOD. The larger metabolic burden of EOD might stem from the longer duration of depressive illness. We compared clinical characteristics and treatment response of elderly depressed patients with early-onset vs. late-onset. We found a higher frequency of affective disorders in the family history of early-onset patients. Early-onset patients had a higher body mass index and were more often obese. There were fewer treatment responders in the EOD group than in the LOD group on trend level significance. Our findings point to an increased obesity risk in EOD along with poorer treatment outcome.
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Zainal NH, Newman MG. Depression and executive functioning bidirectionally impair one another across 9 years: Evidence from within-person latent change and cross-lagged models. Eur Psychiatry 2021; 64:e43. [PMID: 34134796 PMCID: PMC8278253 DOI: 10.1192/j.eurpsy.2021.2217] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/18/2021] [Revised: 06/05/2021] [Accepted: 06/07/2021] [Indexed: 01/17/2023] Open
Abstract
BACKGROUND Scar and vulnerability models assert that increased psychopathology may predict subsequent executive functioning (EF) deficits (and vice versa) over protracted timescales, yet most prior work on this topic has been cross-sectional. Thus, we tested the within- and between-person relations between EF, depression, and anxiety. METHODS Older adult participants (n = 856) were assessed across four waves, approximately 2 years apart. Performance-based EF and caregiver-rated symptom measures were administered. Bivariate latent change score and random-intercept cross-lagged panel models were conducted. RESULTS Within persons, random-intercept cross-lagged panel models revealed that prior greater depression forecasted lower subsequent EF, and vice versa (d = -0.292 vs. -0.292). Bivariate dual latent change score models showed that within-person rise in depression predicted EF decreases, and vice versa (d = -0.245 vs. -0.245). No within-person, cross-lagged, EF-anxiety relations emerged. Further, significant negative between-person EF-symptom relations were observed (d = -0.264 to -0.395). CONCLUSION Prospective, within-person findings offer some evidence for developmental scar and vulnerability models.
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Affiliation(s)
- Nur Hani Zainal
- National University of Singapore, Kent Ridge Campus, Singapore
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25
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Dioli C, Patrício P, Pinto LG, Marie C, Morais M, Vyas S, Bessa JM, Pinto L, Sotiropoulos I. Adult neurogenic process in the subventricular zone-olfactory bulb system is regulated by Tau protein under prolonged stress. Cell Prolif 2021; 54:e13027. [PMID: 33988263 PMCID: PMC8249793 DOI: 10.1111/cpr.13027] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2020] [Revised: 02/08/2021] [Accepted: 03/03/2021] [Indexed: 12/13/2022] Open
Abstract
Objectives The area of the subventricular zone (SVZ) in the adult brain exhibits the highest number of proliferative cells, which, together with the olfactory bulb (OB), maintains constant brain plasticity through the generation, migration and integration of newly born neurons. Despite Tau and its malfunction is increasingly related to deficits of adult hippocampal neurogenesis and brain plasticity under pathological conditions [e.g. in Alzheimer's disease (AD)], it remains unknown whether Tau plays a role in the neurogenic process of the SVZ and OB system under conditions of chronic stress, a well‐known sculptor of brain and risk factor for AD. Materials and methods Different types of newly born cells in SVZ and OB were analysed in animals that lack Tau gene (Tau‐KO) and their wild‐type littermates (WT) under control or chronic stress conditions. Results We demonstrate that chronic stress reduced the number of proliferating cells and neuroblasts in the SVZ leading to decreased number of newborn neurons in the OB of adult WT, but not Tau‐KO, mice. Interestingly, while stress‐evoked changes were not detected in OB granular cell layer, Tau‐KO exhibited increased number of mature neurons in this layer indicating altered neuronal migration due to Tau loss. Conclusions Our findings suggest the critical involvement of Tau in the neurogenesis suppression of SVZ and OB neurogenic niche under stressful conditions highlighting the role of Tau protein as an essential regulator of stress‐driven plasticity deficits.
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Affiliation(s)
- Chrysoula Dioli
- School of Medicine, Life and Health Sciences Research Institute (ICVS), University of Minho, Braga, Portugal.,ICVS/3B's - PT Government Associate Laboratory, Braga/Guimarães, Portugal.,Institute of Biology Paris Seine, Team Gene Regulation and Adaptive Behaviors, Department of Neurosciences Paris Seine, Sorbonne Université, CNRS UMR 8246, INSERM U1130, Paris, France
| | - Patrícia Patrício
- School of Medicine, Life and Health Sciences Research Institute (ICVS), University of Minho, Braga, Portugal.,ICVS/3B's - PT Government Associate Laboratory, Braga/Guimarães, Portugal
| | - Lucilia-Goreti Pinto
- School of Medicine, Life and Health Sciences Research Institute (ICVS), University of Minho, Braga, Portugal.,ICVS/3B's - PT Government Associate Laboratory, Braga/Guimarães, Portugal
| | - Clemence Marie
- School of Medicine, Life and Health Sciences Research Institute (ICVS), University of Minho, Braga, Portugal.,ICVS/3B's - PT Government Associate Laboratory, Braga/Guimarães, Portugal
| | - Mónica Morais
- School of Medicine, Life and Health Sciences Research Institute (ICVS), University of Minho, Braga, Portugal.,ICVS/3B's - PT Government Associate Laboratory, Braga/Guimarães, Portugal
| | - Sheela Vyas
- Institute of Biology Paris Seine, Team Gene Regulation and Adaptive Behaviors, Department of Neurosciences Paris Seine, Sorbonne Université, CNRS UMR 8246, INSERM U1130, Paris, France
| | - João M Bessa
- School of Medicine, Life and Health Sciences Research Institute (ICVS), University of Minho, Braga, Portugal.,ICVS/3B's - PT Government Associate Laboratory, Braga/Guimarães, Portugal
| | - Luisa Pinto
- School of Medicine, Life and Health Sciences Research Institute (ICVS), University of Minho, Braga, Portugal.,ICVS/3B's - PT Government Associate Laboratory, Braga/Guimarães, Portugal
| | - Ioannis Sotiropoulos
- School of Medicine, Life and Health Sciences Research Institute (ICVS), University of Minho, Braga, Portugal.,ICVS/3B's - PT Government Associate Laboratory, Braga/Guimarães, Portugal
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BDNF Overexpression in the Ventral Hippocampus Promotes Antidepressant- and Anxiolytic-Like Activity in Serotonin Transporter Knockout Rats. Int J Mol Sci 2021; 22:ijms22095040. [PMID: 34068707 PMCID: PMC8126235 DOI: 10.3390/ijms22095040] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2021] [Revised: 04/23/2021] [Accepted: 04/26/2021] [Indexed: 12/21/2022] Open
Abstract
BDNF plays a pivotal role in neuroplasticity events, vulnerability and resilience to stress-related disorders, being decreased in depressive patients and increased after antidepressant treatment. BDNF was found to be reduced in patients carrying the human polymorphism in the serotonin transporter promoter region (5-HTTLPR). The serotonin knockout rat (SERT-/-) is one of the animal models used to investigate the underlying molecular mechanisms of depression in humans. They present decreased BDNF levels, and anxiety- and depression-like behavior. To investigate whether upregulating BDNF would ameliorate the phenotype of SERT-/- rats, we overexpressed BDNF locally into the ventral hippocampus and submitted the animals to behavioral testing. The results showed that BDNF overexpression in the vHIP of SERT-/- rats promoted higher sucrose preference and sucrose intake; on the first day of the sucrose consumption test it decreased immobility time in the forced swim test and increased the time spent in the center of a novel environment. Furthermore, BDNF overexpression altered social behavior in SERT-/- rats, which presented increased passive contact with test partner and decreased solitary behavior. Finally, it promoted decrease in plasma corticosterone levels 60 min after restraint stress. In conclusion, modulation of BDNF IV levels in the vHIP of SERT-/- rats led to a positive behavioral outcome placing BDNF upregulation in the vHIP as a potential target to new therapeutic approaches to improve depressive symptoms.
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Meng Y, Li H, Wang J, Xu Y, Wang B. Cognitive behavioral therapy for patients with mild to moderate depression: Treatment effects and neural mechanisms. J Psychiatr Res 2021; 136:288-295. [PMID: 33631654 DOI: 10.1016/j.jpsychires.2021.02.001] [Citation(s) in RCA: 6] [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: 04/28/2020] [Revised: 01/29/2021] [Accepted: 02/08/2021] [Indexed: 11/18/2022]
Abstract
In this study, we combined clinical assessment and magnetic resonance imaging (MRI) techniques to investigate the brain mechanisms in mild to moderate depression (MMD) patients following cognitive behavioral therapy (CBT). Data were collected from 30 MMD patients and 18 healthy controls, and we divided patients into two treatment periods (4 weeks, 8 weeks). Clinical assessment indicated that depression characteristics, as quantified by Hamilton Depression Rating Scale (HAMD), were significantly higher in MMD patients than in healthy controls. At the baseline, MRI data revealed abnormalities in the hippocampus and nucleus accumbens (NAc) of patients with MMD, e.g., smaller gray matter volumes of the hippocampus and nucleus accumbens (NAc), as well as weaker functional connectivity between NAc and the posterior cingulate cortex/precuneus. Moreover, the hippocampus and NAc volumes were negatively correlated with the HAMD scores in MMD patients. After CBT intervention, the HAMD scores decreased, and the structural and functional characteristics of NAc in MMD patients obtained at 8-week were improved; e.g., no significant differences in NAc volume or NAc-based functional connectivity between the two groups. Taken together, our results provided evidence suggesting that CBT is an effective treatment for MMD patients. Alterations of gray matter volume and resting-state functional connectivity after 8 weeks of CBT indicated a potential modulation mechanism in brain structural modifications and functional connectivity plasticity within the NAc in MMD patients.
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Affiliation(s)
- Yanjun Meng
- Nursing College, Shanxi Medical University, Taiyuan, China; Nursing College, Shanxi University of Chinese Medicine, Taiyuan, China
| | - Hong Li
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, China; Department of Psychiatry, First Hospital/First Clinical Medical College of Shanxi Medical University, Taiyuan, China
| | - Junjie Wang
- Department of Psychiatry, First Hospital/First Clinical Medical College of Shanxi Medical University, Taiyuan, China
| | - Yong Xu
- Department of Psychiatry, First Hospital/First Clinical Medical College of Shanxi Medical University, Taiyuan, China
| | - Binquan Wang
- Nursing College, Shanxi Medical University, Taiyuan, China; Department of Otolaryngology, Head and Neck Surgery, First Hospital of Shanxi Medical University, Taiyuan, China.
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Hubachek S, Botdorf M, Riggins T, Leong HC, Klein DN, Dougherty LR. Hippocampal subregion volume in high-risk offspring is associated with increases in depressive symptoms across the transition to adolescence. J Affect Disord 2021; 281:358-366. [PMID: 33348179 PMCID: PMC7856102 DOI: 10.1016/j.jad.2020.12.017] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/07/2020] [Revised: 11/18/2020] [Accepted: 12/05/2020] [Indexed: 11/16/2022]
Abstract
BACKGROUND The hippocampus has been implicated in the pathophysiology of depression. This study examined whether youth hippocampal subregion volumes were differentially associated with maternal depression history and youth's depressive symptoms across the transition to adolescence. METHODS 74 preadolescent offspring (Mage=10.74+/-0.84 years) of mothers with (n = 33) and without a lifetime depression history (n = 41) completed a structural brain scan. Youth depressive symptoms were assessed with clinical interviews and mother- and youth-reports prior to the neuroimaging assessment at age 9 (Mage=9.08+/-0.29 years), at the neuroimaging assessment, and in early adolescence (Mage=12.56+/-0.40 years). RESULTS Maternal depression was associated with preadolescent offspring's reduced bilateral hippocampal head volumes and increased left hippocampal body volume. Reduced bilateral head volumes were associated with offspring's increased concurrent depressive symptoms. Furthermore, reduced right hippocampal head volume mediated associations between maternal depression and increases in offspring depressive symptoms from age 9 to age 12. LIMITATIONS This study included a modest-sized sample that was oversampled for early temperamental characteristics, one neuroimaging assessment, and no correction for multiple comparisons. CONCLUSIONS Findings implicate reductions in hippocampal head volume in the intergenerational transmission of risk from parents to offspring.
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Kaul D, Schwab SG, Mechawar N, Matosin N. How stress physically re-shapes the brain: Impact on brain cell shapes, numbers and connections in psychiatric disorders. Neurosci Biobehav Rev 2021; 124:193-215. [PMID: 33556389 DOI: 10.1016/j.neubiorev.2021.01.025] [Citation(s) in RCA: 29] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2020] [Revised: 01/20/2021] [Accepted: 01/31/2021] [Indexed: 12/16/2022]
Abstract
Severe stress is among the most robust risk factors for the development of psychiatric disorders. Imaging studies indicate that life stress is integral to shaping the human brain, especially regions involved in processing the stress response. Although this is likely underpinned by changes to the cytoarchitecture of cellular networks in the brain, we are yet to clearly understand how these define a role for stress in human psychopathology. In this review, we consolidate evidence of macro-structural morphometric changes and the cellular mechanisms that likely underlie them. Focusing on stress-sensitive regions of the brain, we illustrate how stress throughout life may lead to persistent remodelling of the both neurons and glia in cellular networks and how these may lead to psychopathology. We support that greater translation of cellular alterations to human cohorts will support parsing the psychological sequalae of severe stress and improve our understanding of how stress shapes the human brain. This will remain a critical step for improving treatment interventions and prevention outcomes.
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Affiliation(s)
- Dominic Kaul
- Illawarra Health and Medical Research Institute, Northfields Ave, Wollongong 2522, Australia; Molecular Horizons, School of Chemistry and Molecular Biosciences, University of Wollongong, Northfields Ave, Wollongong 2522, Australia
| | - Sibylle G Schwab
- Illawarra Health and Medical Research Institute, Northfields Ave, Wollongong 2522, Australia; Molecular Horizons, School of Chemistry and Molecular Biosciences, University of Wollongong, Northfields Ave, Wollongong 2522, Australia
| | - Naguib Mechawar
- Douglas Mental Health University Institute, 6875 LaSalle blvd, Verdun, Qc, H4H 1R3, Canada
| | - Natalie Matosin
- Illawarra Health and Medical Research Institute, Northfields Ave, Wollongong 2522, Australia; Molecular Horizons, School of Chemistry and Molecular Biosciences, University of Wollongong, Northfields Ave, Wollongong 2522, Australia; Max Planck Institute of Psychiatry, Kraepelinstrasse 2-10, 80804 Munich, Germany.
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Could α-Klotho Unlock the Key Between Depression and Dementia in the Elderly: from Animal to Human Studies. Mol Neurobiol 2021; 58:2874-2885. [PMID: 33527303 DOI: 10.1007/s12035-021-02313-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2020] [Accepted: 01/25/2021] [Indexed: 10/22/2022]
Abstract
α-Klotho is known for its aging-related functions and is associated with neurodegenerative diseases, accelerated aging, premature morbidity, and mortality. Recent literature suggests that α-Klotho is also involved in the regulation of mental functions, such as cognition and psychosis. While most of studies of α-Klotho are focusing on its anti-aging functions and protective role in dementia, increasing evidence showed many shared symptoms between depression and dementia, while depression has been proposed as the preclinical stage of dementia such as Alzheimer's disease (AD). To see whether and how α-Klotho can be a key biological link between depression and dementia, in this review, we first gathered the evidence on biological distribution and function of α-Klotho in psychiatric functions from animal studies to human clinical investigations with a focus on the regulation of cognition and mood. Then, we discussed and highlighted the potential common underlying mechanisms of α-Klotho between psychiatric diseases and cognitive impairment. Finally, we hypothesized that α-Klotho might serve as a neurobiological link between depression and dementia through the regulation of oxidative stress and inflammation.
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31
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Vattimo EFQ, Dos Santos AC, Hoexter MQ, Frudit P, Miguel EC, Shavitt RG, Batistuzzo MC. Higher volumes of hippocampal subfields in pediatric obsessive-compulsive disorder. Psychiatry Res Neuroimaging 2021; 307:111200. [PMID: 33059948 DOI: 10.1016/j.pscychresns.2020.111200] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/04/2019] [Revised: 09/12/2020] [Accepted: 10/02/2020] [Indexed: 10/23/2022]
Abstract
Differences in hippocampus volume have been identified in adult patients with obsessive-compulsive disorder (OCD). However, the role of this limbic structure in pediatric patients is unclear. This study aimed to investigate the hippocampus and its subregions in a sample of 29 children and adolescents with OCD compared to 28 healthy controls, matched for age, sex, education, and IQ. Volumetric segmentation was performed using the Freesurfer software to calculate the volumes of the subregions that reflect the hippocampal cytoarchitecture. The volumes of three anatomic subregions (tail, body, and head) were also calculated. ANCOVA was performed to investigate differences of these volumes between patients and controls, controlling for total gray matter volume. After Bonferroni correction for multiple comparisons (p-value < 0.00556 for the body and < 0.00625 for the head structures), patients presented statistically significant larger volumes of the following structures: left subiculum body; left CA4 body; left GC-DG body; left molecular layer body; right parasubiculum; left CA4 head; left molecular layer head; right subiculum head and right molecular layer head. These enlarged volumes resulted in larger left and right whole hippocampi in patients, as well as bilateral hippocampal heads and left hippocampal body (all p-values < 0.00625). There were no associations between OCD severity and hippocampal volumes. These findings diverge from previous reports on adults and may indicate that larger hippocampal volumes could reflect an early marker of OCD, not present in adults.
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Affiliation(s)
- Edoardo F Q Vattimo
- Departamento de Psiquiatria, Faculdade de Medicina, Universidade de Sao Paulo, SP, Brazil
| | | | - Marcelo Q Hoexter
- Departamento de Psiquiatria, Faculdade de Medicina, Universidade de Sao Paulo, SP, Brazil
| | - Paula Frudit
- Faculdade de Ciências Médicas da Santa Casa de São Paulo, SP, Brazil
| | - Euripedes C Miguel
- Departamento de Psiquiatria, Faculdade de Medicina, Universidade de Sao Paulo, SP, Brazil
| | - Roseli G Shavitt
- Departamento de Psiquiatria, Faculdade de Medicina, Universidade de Sao Paulo, SP, Brazil
| | - Marcelo C Batistuzzo
- Departamento de Psiquiatria, Faculdade de Medicina, Universidade de Sao Paulo, SP, Brazil; Departamento de Métodos e Técnicas, Curso de Psicologia da Faculdade de Ciências Humanas e da Saúde, Pontifícia Universidade Católica de São Paulo, SP, Brazil.
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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: 38] [Impact Index Per Article: 12.7] [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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Brenowitz WD, Al Hazzouri AZ, Vittinghoff E, Golden SH, Fitzpatrick AL, Yaffe K. Depressive Symptoms Imputed Across the Life Course Are Associated with Cognitive Impairment and Cognitive Decline. J Alzheimers Dis 2021; 83:1379-1389. [PMID: 34420969 PMCID: PMC9095065 DOI: 10.3233/jad-210588] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
BACKGROUND Depressive symptoms may increase risk for dementia, but findings are controversial because late-life depression may be a prodromal dementia symptom. Life course data on depression and dementia risk may clarify this association; however, data is limited. OBJECTIVE To impute adult depressive symptoms trajectories across adult life stages and estimate the association with cognitive impairment and decline. METHODS Using a pooled study of 4 prospective cohorts (ages 20-89), we imputed adult life course depressive symptoms trajectories based on Center for Epidemiologic Studies Depression Scale-10 (CESD-10) and calculated time-weighted averages for early adulthood (ages 20-49), mid-life (ages 50-69), and late-life (ages 70-89) for 6,122 older participants. Adjusted pooled logistic and mixed-effects models estimated associations of imputed depressive symptoms with two cognitive outcomes: cognitive impairment defined by established criteria and a composite cognitive score. RESULTS In separate models, elevated depressive symptoms in each life stage were associated with cognitive outcomes: early adulthood OR for cognitive impairment = 1.59 (95%CI: 1.35,1.87); mid-life OR = 1.94 (95%CI:1.16, 3.26); and late-life OR = 1.77 (95%CI:1.42, 2.21). When adjusted for depressive symptoms in the other life-stages, elevated depressive symptoms in early adulthood (OR = 1.73; 95%CI: 1.42,2.11) and late-life (OR = 1.43; 95%CI: 1.08,1.89) remained associated with cognitive impairment and were also associated with faster rates of cognitive decline (p < 0.05). CONCLUSION Imputing depressive symptom trajectories from pooled cohorts may help expand data across the life course. Our findings suggest early adulthood depressive symptoms may be a risk factor for cognitive impairment independent of mid- or late-life depressive symptoms.
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Affiliation(s)
- Willa D. Brenowitz
- Department of Psychiatry and Behavioral Sciences, Weill Institute for Neurosciences, University of California San Francisco, CA, USA
- Department of Epidemiology and Biostatistics, University of California San Francisco, CA, USA
| | - Adina Zeki Al Hazzouri
- Department of Epidemiology, Mailman School of Public Health, Columbia University, NY, USA
| | - Eric Vittinghoff
- Department of Epidemiology and Biostatistics, University of California San Francisco, CA, USA
| | - Sherita H. Golden
- Department of Medicine Johns Hopkins University School of Medicine and Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA
| | - Annette L. Fitzpatrick
- Departments of Family Medicine, Epidemiology, and Global Health, School of Public Health, University of Washington, WA, USA
| | - Kristine Yaffe
- Department of Psychiatry and Behavioral Sciences, Weill Institute for Neurosciences, University of California San Francisco, CA, USA
- Department of Epidemiology and Biostatistics, University of California San Francisco, CA, USA
- Department of Neurology, Weill Institute for Neurosciences, University of California San Francisco, CA, USA
- San Francisco VA Health Care System, San Francisco, CA, USA
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Interactive effects of elevated homocysteine and late-life depression on cognitive impairment. J Affect Disord 2020; 277:212-217. [PMID: 32829197 DOI: 10.1016/j.jad.2020.08.022] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/09/2020] [Revised: 06/02/2020] [Accepted: 08/10/2020] [Indexed: 11/23/2022]
Abstract
BACKGROUND Both an elevated homocysteine (Hcy) level and depression are risk factors for cognitive impairment in the general population, but no study has analyzed whether the coexistence of an elevated Hcy level and late-life depression (LLD) is associated with worse cognitive performance. OBJECTIVE We aimed to investigate the relationship between Hcy levels and cognitive function in individuals with LLD and whether the coexistence of an elevated Hcy level and LLD is associated with worse cognitive performance. METHODS A total of 113 LLD patients and 89 normal controls underwent a standardized clinical interview and comprehensive neuropsychological assessment battery. Plasma concentrations of Hcy were detected. Factorial analyses were performed to examine the impact of the coexistence of an elevated Hcy level and LLD on cognitive performance. RESULTS Plasma Hcy levels in patients with LLD were significantly higher than that in normal controls. Only for LLD patients, Hcy level was negatively correlated with global cognition, executive function, attention, and visual space. The factorial analysis showed that there was a significant interactive effect of Hcy level (normal and elevated levels) and LLD (with and without LLD) on global cognition. In post hoc comparisons, the elderly individuals with both elevated Hcy levels and LLD tended to have the worst global cognitive function compared with those with LLD or elevated Hcy levels alone. CONCLUSIONS The coexistence of an elevated Hcy level and LLD was associated with worse cognitive performance. Early intervention should be initiated to protect cognition in LLD patients with elevated Hcy levels.
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Taylor WD, Deng Y, Boyd BD, Donahue MJ, Albert K, McHugo M, Gandelman JA, Landman BA. Medial temporal lobe volumes in late-life depression: effects of age and vascular risk factors. Brain Imaging Behav 2020; 14:19-29. [PMID: 30251182 DOI: 10.1007/s11682-018-9969-y] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Substantial work associates late-life depression with hippocampal pathology. However, there is less information about differences in hippocampal subfields and other connected temporal lobe regions and how these regions may be influenced by vascular factors. Individuals aged 60 years or older with and without a DSM-IV diagnosis of Major Depressive Disorder completed clinical assessments and 3 T cranial MRI using a protocol allowing for automated measurement of medial temporal lobe subfield volumes. A subset also completed pseudo-continuous arterial spin labeling, allowing for the measurement of hippocampal cerebral blood flow. In 59 depressed and 21 never-depressed elders (mean age = 66.4 years, SD = 5.8y, range 60-86y), the depressed group did not exhibit statistically significant volumetric differences for the total hippocampus or hippocampal subfields but did exhibit significantly smaller volumes of the perirhinal cortex, specifically in the BA36 region. Additionally, age had a greater effect in the depressed group on volumes of the cornu ammonis, entorhinal cortex, and BA36 region. Finally, both clinical and radiological markers of vascular risk were associated with smaller BA36 volumes, while reduced hippocampal blood flow was associated with smaller hippocampal and cornu ammonis volumes. In conclusion, while we did not observe group differences in hippocampal regions, we observed group differences and an effect of vascular pathology on the BA36 region, part of the perirhinal cortex. This is a critical region exhibiting atrophy in prodromal Alzheimer's disease. Moreover, the observed greater effect of age in the depressed groups is concordant with past longitudinal studies reporting greater hippocampal atrophy in late-life depression.
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Affiliation(s)
- Warren D Taylor
- The Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, 1601 23rd Avenue South, Nashville, TN, 37212, USA. .,Geriatric Research, Education and Clinical Center, Department of Veterans Affairs Medical Center, Tennessee Valley Healthcare System, Nashville, TN, 37212, USA.
| | - Yi Deng
- The Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, 1601 23rd Avenue South, Nashville, TN, 37212, USA
| | - Brian D Boyd
- The Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, 1601 23rd Avenue South, Nashville, TN, 37212, USA
| | - Manus J Donahue
- The Department of Radiology and Radiological Science, Vanderbilt University Medical Center, Nashville, TN, 37212, USA
| | - Kimberly Albert
- The Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, 1601 23rd Avenue South, Nashville, TN, 37212, USA
| | - Maureen McHugo
- The Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, 1601 23rd Avenue South, Nashville, TN, 37212, USA
| | | | - Bennett A Landman
- The Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, 1601 23rd Avenue South, Nashville, TN, 37212, USA.,The Department of Radiology and Radiological Science, Vanderbilt University Medical Center, Nashville, TN, 37212, USA.,The Department of Electrical Engineering, Vanderbilt University, Nashville, TN, 37212, USA
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36
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Espinoza Oyarce DA, Shaw ME, Alateeq K, Cherbuin N. Volumetric brain differences in clinical depression in association with anxiety: a systematic review with meta-analysis. J Psychiatry Neurosci 2020; 45:406-429. [PMID: 32726102 PMCID: PMC7595741 DOI: 10.1503/jpn.190156] [Citation(s) in RCA: 34] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/10/2023] Open
Abstract
BACKGROUND Structural differences associated with depression have not been confirmed in brain regions apart from the hippocampus. Comorbid anxiety has been inconsistently assessed, and may explain discrepancies in previous findings. We investigated the link between depression, comorbid anxiety and brain structure. METHODS We followed Preferred Reporting Items for Systematic Review and Meta-Analyses (PRISMA) guidelines (PROSPERO CRD42018089286). We searched the Cochrane Library, MEDLINE, PsycInfo, PubMed and Scopus, from database inception to Sept. 13, 2018, for MRI case-control studies that reported brain volumes in healthy adults and adults with clinical depression. We summarized mean volumetric differences using meta-analyses, and we assessed demographics, depression factors and segmentation procedure as moderators using meta-regressions. RESULTS We included 112 studies in the meta-analyses, assessing 4911 healthy participants and 5934 participants with depression (mean age 49.8 yr, 68.2% female). Volume effects were greater in late-onset depression and in multiple episodes of depression. Adults with depression and no comorbidity showed significantly lower volumes in the putamen, pallidum and thalamus, as well as significantly lower grey matter volume and intracranial volume; the largest effects were in the hippocampus (6.8%, p < 0.001). Adults with depression and comorbid anxiety showed significantly higher volumes in the amygdala (3.6%, p < 0.001). Comorbid anxiety lowered depression effects by 3% on average. Sex moderated reductions in intracranial volume. LIMITATIONS High heterogeneity in hippocampus effects could not be accounted for by any moderator. Data on symptom severity and medication were sparse, but other factors likely made significant contributions. CONCLUSION Depression-related differences in brain structure were modulated by comorbid anxiety, chronicity of symptoms and onset of illness. Early diagnosis of anxiety symptomatology will prove crucial to ensuring effective, tailored treatments for improving long-term mental health and mitigating cognitive problems, given the effects in the hippocampus.
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Affiliation(s)
- Daniela A Espinoza Oyarce
- From the Centre for Research on Ageing, Health and Wellbeing, The Australian National University, Canberra, ACT, Australia (Espinoza Oyarce, Alateeq, Cherbuin); and the College of Engineering and Computer Science, The Australian National University, Canberra, ACT, Australia (Shaw)
| | - Marnie E Shaw
- From the Centre for Research on Ageing, Health and Wellbeing, The Australian National University, Canberra, ACT, Australia (Espinoza Oyarce, Alateeq, Cherbuin); and the College of Engineering and Computer Science, The Australian National University, Canberra, ACT, Australia (Shaw)
| | - Khawlah Alateeq
- From the Centre for Research on Ageing, Health and Wellbeing, The Australian National University, Canberra, ACT, Australia (Espinoza Oyarce, Alateeq, Cherbuin); and the College of Engineering and Computer Science, The Australian National University, Canberra, ACT, Australia (Shaw)
| | - Nicolas Cherbuin
- From the Centre for Research on Ageing, Health and Wellbeing, The Australian National University, Canberra, ACT, Australia (Espinoza Oyarce, Alateeq, Cherbuin); and the College of Engineering and Computer Science, The Australian National University, Canberra, ACT, Australia (Shaw)
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37
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Accelerated brain aging predicts impaired cognitive performance and greater disability in geriatric but not midlife adult depression. Transl Psychiatry 2020; 10:317. [PMID: 32948749 PMCID: PMC7501280 DOI: 10.1038/s41398-020-01004-z] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/01/2020] [Accepted: 09/04/2020] [Indexed: 12/20/2022] Open
Abstract
Depression is associated with markers of accelerated aging, but it is unclear how this relationship changes across the lifespan. We examined whether a brain-based measure of accelerated aging differed between depressed and never-depressed subjects across the adult lifespan and whether it was related to cognitive performance and disability. We applied a machine-learning approach that estimated brain age from structural MRI data in two depressed cohorts, respectively 170 midlife adults and 154 older adults enrolled in studies with common entry criteria. Both cohorts completed broad cognitive batteries and the older subgroup completed a disability assessment. The machine-learning model estimated brain age from MRI data, which was compared to chronological age to determine the brain-age gap (BAG; estimated age-chronological age). BAG did not differ between midlife depressed and nondepressed adults. Older depressed adults exhibited significantly higher BAG than nondepressed elders (Wald χ2 = 8.84, p = 0.0029), indicating a higher estimated brain age than chronological age. BAG was not associated with midlife cognitive performance. In the older cohort, higher BAG was associated with poorer episodic memory performance (Wald χ2 = 4.10, p = 0.0430) and, in the older depressed group alone, slower processing speed (Wald χ2 = 4.43, p = 0.0354). We also observed a statistical interaction where greater depressive symptom severity in context of higher BAG was associated with poorer executive function (Wald χ2 = 5.89, p = 0.0152) and working memory performance (Wald χ2 = 4.47, p = 0.0346). Increased BAG was associated with greater disability (Wald χ2 = 6.00, p = 0.0143). Unlike midlife depression, geriatric depression exhibits accelerated brain aging, which in turn is associated with cognitive and functional deficits.
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38
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Lepage M, Makowski C, Bodnar M, Chakravarty MM, Joober R, Malla AK. Do Unremitted Psychotic Symptoms Have an Effect on the Brain? A 2-Year Follow-up Imaging Study in First-Episode Psychosis. ACTA ACUST UNITED AC 2020; 1:sgaa039. [PMID: 32984819 PMCID: PMC7503475 DOI: 10.1093/schizbullopen/sgaa039] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Abstract
Background To examine whether the duration of unremitted psychotic symptoms after the onset of a first episode of psychosis (FEP) is associated with cortical thickness and hippocampal volume, as well as structural covariance of these measures. Method Longitudinal MRI scans were obtained for 80 FEP patients shortly after entry to FEP clinic (baseline), and then 12 months and 24 months later. The proportion of time patients experienced unremitted positive symptoms for 2 interscan intervals (baseline to 12 mo, 12 mo to 24 mo) was calculated. Changes in cortical thickness and hippocampal volumes were calculated for each interscan interval and associated with duration of unremitted psychotic symptoms. Significant regions were then used in seed-based structural covariance analyses to examine the effect of unremitted psychotic symptoms on brain structural organization. Importantly, analyses controlled for antipsychotic medication. Results Cortical thinning within the left medial/orbitofrontal prefrontal cortex and superior temporal gyrus were significantly associated with the duration of unremitted psychotic symptoms during the first interscan interval (ie, baseline to 12 mo). Further, changes in cortical thickness within the left medial/orbitofrontal cortex positively covaried with changes in thickness in the left dorsal and ventrolateral prefrontal cortex during this period. No associations were observed during the second interscan interval, nor with hippocampal volumes. Conclusions These results demonstrate that cortical thickness change can be observed shortly after an FEP, and these changes are proportionally related to the percentage of time spent with unremitted psychotic symptoms. Altered structural covariance in the prefrontal cortex suggests that unremitted psychotic symptoms may underlie reorganization in higher-order cortical regions.
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Affiliation(s)
- Martin Lepage
- Prevention and Early Intervention Program for Psychoses, Douglas Mental Health University Institute, Montreal, Quebec, Canada.,Department of Psychiatry, McGill University, Montreal, Quebec, Canada
| | - Carolina Makowski
- Prevention and Early Intervention Program for Psychoses, Douglas Mental Health University Institute, Montreal, Quebec, Canada.,McGill Centre for Integrative Neuroscience, McConnell Brain Imaging Centre, Montreal Neurological Institute, Montreal, Quebec, Canada
| | - Michael Bodnar
- The Royal's Institute of Mental Health Research, Ottawa, Ontario, Canada
| | - M Mallar Chakravarty
- Prevention and Early Intervention Program for Psychoses, Douglas Mental Health University Institute, Montreal, Quebec, Canada.,Department of Psychiatry, McGill University, Montreal, Quebec, Canada
| | - Ridha Joober
- Prevention and Early Intervention Program for Psychoses, Douglas Mental Health University Institute, Montreal, Quebec, Canada.,Department of Psychiatry, McGill University, Montreal, Quebec, Canada
| | - Ashok K Malla
- Prevention and Early Intervention Program for Psychoses, Douglas Mental Health University Institute, Montreal, Quebec, Canada.,Department of Psychiatry, McGill University, Montreal, Quebec, Canada
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39
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Rashidi-Ranjbar N, Rajji TK, Kumar S, Herrmann N, Mah L, Flint AJ, Fischer CE, Butters MA, Pollock BG, Dickie EW, Anderson JAE, Mulsant BH, Voineskos AN. Frontal-executive and corticolimbic structural brain circuitry in older people with remitted depression, mild cognitive impairment, Alzheimer's dementia, and normal cognition. Neuropsychopharmacology 2020; 45:1567-1578. [PMID: 32422643 PMCID: PMC7360554 DOI: 10.1038/s41386-020-0715-y] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/18/2019] [Revised: 04/15/2020] [Accepted: 05/11/2020] [Indexed: 12/11/2022]
Abstract
A history of depression is a risk factor for dementia. Despite strong epidemiologic evidence, the pathways linking depression and dementia remain unclear. We assessed structural brain alterations in white and gray matter of frontal-executive and corticolimbic circuitries in five groups of older adults putatively at-risk for developing dementia- remitted depression (MDD), non-amnestic MCI (naMCI), MDD+naMCI, amnestic MCI (aMCI), and MDD+aMCI. We also examined two other groups: non-psychiatric ("healthy") controls (HC) and individuals with Alzheimer's dementia (AD). Magnetic resonance imaging (MRI) data were acquired on the same 3T scanner. Following quality control in these seven groups, from diffusion-weighted imaging (n = 300), we compared white matter fractional anisotropy (FA), mean diffusivity (MD), and from T1-weighted imaging (n = 333), subcortical volumes and cortical thickness in frontal-executive and corticolimbic regions of interest (ROIs). We also used exploratory graph theory analysis to compare topological properties of structural covariance networks and hub regions. We found main effects for diagnostic group in FA, MD, subcortical volume, and cortical thickness. These differences were largely due to greater deficits in the AD group and to a lesser extent aMCI compared with other groups. Graph theory analysis revealed differences in several global measures among several groups. Older individuals with remitted MDD and naMCI did not have the same white or gray matter changes in the frontal-executive and corticolimbic circuitries as those with aMCI or AD, suggesting distinct neural mechanisms in these disorders. Structural covariance global metrics suggested a potential difference in brain reserve among groups.
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Affiliation(s)
- Neda Rashidi-Ranjbar
- Institute of Medical Science, University of Toronto, Toronto, ON, Canada
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Tarek K Rajji
- Institute of Medical Science, University of Toronto, Toronto, ON, Canada
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Sanjeev Kumar
- Institute of Medical Science, University of Toronto, Toronto, ON, Canada
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Nathan Herrmann
- Institute of Medical Science, University of Toronto, Toronto, ON, Canada
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
- Sunnybrook Health Sciences Centre, Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Linda Mah
- Institute of Medical Science, University of Toronto, Toronto, ON, Canada
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
- Baycrest Health Sciences, Rotman Research Institute, Department of Psychiatry, University of Toronto, Toronto, Canada
| | - Alastair J Flint
- Institute of Medical Science, University of Toronto, Toronto, ON, Canada
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
- University Health Network, Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Corinne E Fischer
- Institute of Medical Science, University of Toronto, Toronto, ON, Canada
- Keenan Research Centre for Biomedical Research, Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, ON, Canada
| | - Meryl A Butters
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Bruce G Pollock
- Institute of Medical Science, University of Toronto, Toronto, ON, Canada
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Erin W Dickie
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - John A E Anderson
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Benoit H Mulsant
- Institute of Medical Science, University of Toronto, Toronto, ON, Canada
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Aristotle N Voineskos
- Institute of Medical Science, University of Toronto, Toronto, ON, Canada.
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada.
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada.
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40
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Schmaal L, Pozzi E, C Ho T, van Velzen LS, Veer IM, Opel N, Van Someren EJW, Han LKM, Aftanas L, Aleman A, Baune BT, Berger K, Blanken TF, Capitão L, Couvy-Duchesne B, R Cullen K, Dannlowski U, Davey C, Erwin-Grabner T, Evans J, Frodl T, Fu CHY, Godlewska B, Gotlib IH, Goya-Maldonado R, Grabe HJ, Groenewold NA, Grotegerd D, Gruber O, Gutman BA, Hall GB, Harrison BJ, Hatton SN, Hermesdorf M, Hickie IB, Hilland E, Irungu B, Jonassen R, Kelly S, Kircher T, Klimes-Dougan B, Krug A, Landrø NI, Lagopoulos J, Leerssen J, Li M, Linden DEJ, MacMaster FP, M McIntosh A, Mehler DMA, Nenadić I, Penninx BWJH, Portella MJ, Reneman L, Rentería ME, Sacchet MD, G Sämann P, Schrantee A, Sim K, Soares JC, Stein DJ, Tozzi L, van Der Wee NJA, van Tol MJ, Vermeiren R, Vives-Gilabert Y, Walter H, Walter M, Whalley HC, Wittfeld K, Whittle S, Wright MJ, Yang TT, Zarate C, Thomopoulos SI, Jahanshad N, Thompson PM, Veltman DJ. ENIGMA MDD: seven years of global neuroimaging studies of major depression through worldwide data sharing. Transl Psychiatry 2020; 10:172. [PMID: 32472038 PMCID: PMC7260219 DOI: 10.1038/s41398-020-0842-6] [Citation(s) in RCA: 111] [Impact Index Per Article: 27.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/11/2019] [Revised: 04/09/2020] [Accepted: 05/07/2020] [Indexed: 02/06/2023] Open
Abstract
A key objective in the field of translational psychiatry over the past few decades has been to identify the brain correlates of major depressive disorder (MDD). Identifying measurable indicators of brain processes associated with MDD could facilitate the detection of individuals at risk, and the development of novel treatments, the monitoring of treatment effects, and predicting who might benefit most from treatments that target specific brain mechanisms. However, despite intensive neuroimaging research towards this effort, underpowered studies and a lack of reproducible findings have hindered progress. Here, we discuss the work of the ENIGMA Major Depressive Disorder (MDD) Consortium, which was established to address issues of poor replication, unreliable results, and overestimation of effect sizes in previous studies. The ENIGMA MDD Consortium currently includes data from 45 MDD study cohorts from 14 countries across six continents. The primary aim of ENIGMA MDD is to identify structural and functional brain alterations associated with MDD that can be reliably detected and replicated across cohorts worldwide. A secondary goal is to investigate how demographic, genetic, clinical, psychological, and environmental factors affect these associations. In this review, we summarize findings of the ENIGMA MDD disease working group to date and discuss future directions. We also highlight the challenges and benefits of large-scale data sharing for mental health research.
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Affiliation(s)
- Lianne Schmaal
- Orygen, The National Centre of Excellence in Youth Mental Health, Parkville, VIC, Australia.
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia.
| | - Elena Pozzi
- Orygen, The National Centre of Excellence in Youth Mental Health, Parkville, VIC, Australia
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
| | - Tiffany C Ho
- Department of Psychology, Stanford University, Stanford, CA, USA
- Department of Psychiatry & Behavioral Sciences, Stanford University, Stanford, CA, USA
- Department of Psychiatry & Weill Institute for Neurosciences, University of California, San Francisco, CA, USA
| | - Laura S van Velzen
- Orygen, The National Centre of Excellence in Youth Mental Health, Parkville, VIC, Australia
- Centre for Youth Mental Health, The University of Melbourne, Parkville, VIC, Australia
| | - Ilya M Veer
- Division of Mind and Brain Research, Department of Psychiatry and Psychotherapy CCM, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Nils Opel
- Department of Psychiatry, University of Münster, Münster, Germany
| | - Eus J W Van Someren
- Department of Sleep and Cognition, Netherlands Institute for Neuroscience (NIN), an institute of the Royal Netherlands Academy of Arts and Sciences, Amsterdam, Netherlands
- Department of Integrative Neurophysiology, Center for Neurogenomics and Cognitive Research (CNCR), Amsterdam Neuroscience, VU University Amsterdam, Amsterdam, The Netherlands
- Department of Psychiatry, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Neuroscience, Amsterdam Public Health Research Institute, Amsterdam, The Netherlands
| | - Laura K M Han
- Department of Psychiatry, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Neuroscience, Amsterdam Public Health Research Institute, Amsterdam, The Netherlands
| | - Lybomir Aftanas
- FSSBI Scientific Research Institute of Physiology & Basic Medicine, Laboratory of Affective, Cognitive & Translational Neuroscience, Novosibirsk, Russia
- Department of Neuroscience, Novosibirsk State University, Novosibirsk, Russia
| | - André Aleman
- Department of Biomedical Sciences of Cells and Systems, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Bernhard T Baune
- Department of Psychiatry, University of Münster, Münster, Germany
- Department of Psychiatry, University of Melbourne, Melbourne, VIC, Australia
- The Florey Institute of Neuroscience and Mental Health, University of Melbourne, Melbourne, VIC, Australia
| | - Klaus Berger
- Institute of Epidemiology and Social Medicine, University of Münster, Münster, Germany
| | - Tessa F Blanken
- Department of Sleep and Cognition, Netherlands Institute for Neuroscience (NIN), an institute of the Royal Netherlands Academy of Arts and Sciences, Amsterdam, Netherlands
- Department of Integrative Neurophysiology, Center for Neurogenomics and Cognitive Research (CNCR), Amsterdam Neuroscience, VU University Amsterdam, Amsterdam, The Netherlands
| | - Liliana Capitão
- Department of Psychiatry, Oxford University, Oxford, UK
- Oxford Health NHS Foundation Trust, Oxford, UK
| | | | - Kathryn R Cullen
- Department of Psychology, University of Minnesota, Minneapolis, MN, USA
| | - Udo Dannlowski
- Department of Psychiatry, University of Münster, Münster, Germany
| | - Christopher Davey
- Department of Psychiatry, University of Melbourne, Melbourne, VIC, Australia
| | - Tracy Erwin-Grabner
- Laboratory of Systems Neuroscience and Imaging in Psychiatry (SNIP-Lab), University Medical Center Göttingen, Göttingen, Germany
| | - Jennifer Evans
- Experimental Therapeutics Branch, NIMH, NIH, Bethesda, MD, USA
| | - Thomas Frodl
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany
| | - Cynthia H Y Fu
- School of Psychology, University of East London, London, UK
- Centre for Affective Disorders, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | | | - Ian H Gotlib
- Department of Psychology, Stanford University, Stanford, CA, USA
| | - Roberto Goya-Maldonado
- Laboratory of Systems Neuroscience and Imaging in Psychiatry (SNIP-Lab), University Medical Center Göttingen, Göttingen, Germany
| | - Hans J Grabe
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
- German Center for Neurodegenerative Diseases (DZNE), Site Rostock/Greifswald, Germany
| | - Nynke A Groenewold
- Department of Psychiatry & Mental Health, University of Cape Town, Cape Town, South Africa
| | | | - Oliver Gruber
- Section for Experimental Psychopathology and Neuroimaging, Department of General Psychiatry, Heidelberg University Hospital, Heidelberg, Germany
| | | | - Geoffrey B Hall
- Department of Psychology, Neuroscience & Behaviour, McMaster University, Hamilton, ON, Canada
| | - Ben J Harrison
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne & Melbourne Health, Melbourne, VIC, Australia
| | - Sean N Hatton
- Brain and Mind Centre, University of Sydney, Camperdown, NSW, Australia
| | - Marco Hermesdorf
- Institute of Epidemiology and Social Medicine, University of Münster, Münster, Germany
| | - Ian B Hickie
- Brain and Mind Centre, University of Sydney, Camperdown, NSW, Australia
| | - Eva Hilland
- Clinical Neuroscience Research Group, Department of Psychology, University of Oslo, Oslo, Norway
- Department of Psychiatry, Diakonhjemmet Hospital, Oslo, Norway
- Norwegian Centre for Mental Disorders Research (NORMENT), Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Benson Irungu
- Department of Psychiatry & Behavioral Sciences, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Rune Jonassen
- Faculty of Health Sciences, Oslo Metropolitan University, Oslo, Norway
| | - Sinead Kelly
- Beth Israel Deaconess Medical Centre, Harvard Medical School, Boston, MA, USA
| | - Tilo Kircher
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany
| | | | - Axel Krug
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany
| | - Nils Inge Landrø
- Clinical Neuroscience Research Group, Department of Psychology, University of Oslo, Oslo, Norway
- Department of Psychiatry, Diakonhjemmet Hospital, Oslo, Norway
| | - Jim Lagopoulos
- Sunshine Coast Mind and Neuroscience Thompson Institute, University of the Sunshine Coast, Birtinya, QLD, Australia
| | - Jeanne Leerssen
- Department of Sleep and Cognition, Netherlands Institute for Neuroscience (NIN), an institute of the Royal Netherlands Academy of Arts and Sciences, Amsterdam, Netherlands
- Department of Integrative Neurophysiology, Center for Neurogenomics and Cognitive Research (CNCR), Amsterdam Neuroscience, VU University Amsterdam, Amsterdam, The Netherlands
| | - Meng Li
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany
| | - David E J Linden
- Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK
- MRC Center for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
- Cardiff University Brain Research Imaging Center, Cardiff University, Cardiff, UK
| | - Frank P MacMaster
- Psychiatry and Pediatrics, University of Calgary, Addictions and Mental Health Strategic Clinical Network, Calgary, AB, Canada
| | - Andrew M McIntosh
- Centre for Clinical Brain Science, University of Edinburgh, Edinburgh, UK
| | - David M A Mehler
- Department of Psychiatry, University of Münster, Münster, Germany
- MRC Center for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
- Cardiff University Brain Research Imaging Center, Cardiff University, Cardiff, UK
| | - Igor Nenadić
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany
- Marburg University Hospital UKGM, Marburg, Germany
| | - Brenda W J H Penninx
- Department of Psychiatry, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Neuroscience, Amsterdam Public Health Research Institute, Amsterdam, The Netherlands
| | - Maria J Portella
- Institut d'Investigació Biomèdica-Sant Pau, Barcelona, Spain
- CIBERSAM, Madrid, Spain
- Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Liesbeth Reneman
- Department of Radiology and Nuclear Medicine, location AMC, Amsterdam UMC, Amsterdam, The Netherlands
| | - Miguel E Rentería
- Department of Genetics & Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - Matthew D Sacchet
- Center for Depression, Anxiety, and Stress Research, McLean Hospital, Harvard Medical School, Belmont, MA, USA
| | | | - Anouk Schrantee
- Department of Radiology and Nuclear Medicine, location AMC, Amsterdam UMC, Amsterdam, The Netherlands
| | - Kang Sim
- West Region/Institute of Mental Health, Singapore, Singapore
- Yong Loo Lin School of Medicine/National University of Singapore, Singapore, Singapore
| | - Jair C Soares
- Department of Psychiatry & Behavioral Sciences, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Dan J Stein
- SA MRC Research Unit on Risk & Resilience in Mental Disorders, Department of Psychiatry & Neuroscience Institute, University of Cape Town, Cape Town, South Africa
| | - Leonardo Tozzi
- Department of Psychiatry & Behavioral Sciences, Stanford University, Stanford, CA, USA
| | - Nic J A van Der Wee
- Department of Psychiatry, Leiden University Medical Center, Leiden, The Netherlands
- Leiden Institute for Brain and Cognition, Leiden University Medical Center, Leiden, The Netherlands
| | - Marie-José van Tol
- Department of Biomedical Sciences of Cells and Systems, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Robert Vermeiren
- Curium-LUMC, Leiden University Medical Center, Leiden, The Netherlands
| | | | - Henrik Walter
- Division of Mind and Brain Research, Department of Psychiatry and Psychotherapy CCM, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Martin Walter
- Department of Psychiatry and Psychotherapy, Jena, Germany
- Clinical Affective Neuroimaging Laboratory, Leibniz Institute for Neurobiology, Magdeburg, Germany
| | - Heather C Whalley
- Centre for Clinical Brain Science, University of Edinburgh, Edinburgh, UK
| | - Katharina Wittfeld
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
- German Center for Neurodegenerative Diseases (DZNE), Site Rostock/Greifswald, Germany
| | - Sarah Whittle
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne & Melbourne Health, Melbourne, VIC, Australia
| | - Margaret J Wright
- Queensland Brain Institute, The University of Queensland, Brisbane, QLD, Australia
- Centre for Advanced Imaging, The University of Queensland, Brisbane, QLD, Australia
| | - Tony T Yang
- Department of Psychiatry & Weill Institute for Neurosciences, University of California, San Francisco, CA, USA
| | - Carlos Zarate
- Section on the Neurobiology and Treatment of Mood Disorders, National Institute of Mental Health, Bethesda, MD, USA
| | - Sophia I Thomopoulos
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, USA
| | - Neda Jahanshad
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, USA
| | - Paul M Thompson
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, USA
| | - Dick J Veltman
- Department of Psychiatry, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Neuroscience, Amsterdam Public Health Research Institute, Amsterdam, The Netherlands
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Rashidi-Ranjbar N, Miranda D, Butters MA, Mulsant BH, Voineskos AN. Evidence for Structural and Functional Alterations of Frontal-Executive and Corticolimbic Circuits in Late-Life Depression and Relationship to Mild Cognitive Impairment and Dementia: A Systematic Review. Front Neurosci 2020; 14:253. [PMID: 32362808 PMCID: PMC7182055 DOI: 10.3389/fnins.2020.00253] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2019] [Accepted: 03/06/2020] [Indexed: 01/12/2023] Open
Abstract
Depression is a risk factor for developing Alzheimer's disease and Related Dementia (ADRD). We conducted a systematic review between 2008 and October 2018, to evaluate the evidence for a conceptual mechanistic model linking depression and ADRD, focusing on frontal-executive and corticolimbic circuits. We focused on two neuroimaging modalities: diffusion-weighted imaging measuring white matter tract disruptions and resting-state functional MRI measuring alterations in network dynamics in late-life depression (LLD), mild cognitive impairment (MCI), and LLD+MCI vs. healthy control (HC) individuals. Our data synthesis revealed that in some but not all studies, impairment of both frontal-executive and corticolimbic circuits, as well as impairment of global brain topology was present in LLD, MCI, and LLD+MCI vs. HC groups. Further, posterior midline regions (posterior cingulate cortex and precuneus) appeared to have the most structural and functional alterations in all patient groups. Future cohort and longitudinal studies are required to address the heterogeneity of findings, and to clarify which subgroups of people with LLD are at highest risk for developing MCI and ADRD.
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Affiliation(s)
- Neda Rashidi-Ranjbar
- Institute of Medical Science, University of Toronto, Toronto, ON, Canada.,Campbell Family Mental Health Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Dayton Miranda
- Campbell Family Mental Health Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Meryl A Butters
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States
| | - Benoit H Mulsant
- Campbell Family Mental Health Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada.,Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Aristotle N Voineskos
- Campbell Family Mental Health Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada.,Department of Psychiatry, University of Toronto, Toronto, ON, Canada
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42
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Kida H, Nakajima S, Shikimoto R, Ochi R, Noda Y, Tsugawa S, Fujii S, Takayama M, Mimura M, Niimura H. Approach-oriented coping strategy level may be related to volume of the whole hippocampus in the elderly. Psychiatry Clin Neurosci 2020; 74:270-276. [PMID: 31943584 DOI: 10.1111/pcn.12981] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/22/2019] [Revised: 11/28/2019] [Accepted: 01/08/2020] [Indexed: 12/29/2022]
Abstract
AIM Stress-related disorders and severe stress exposure can cause atrophy of the whole hippocampus and its subfields. However, the impact of stress coping strategies on the hippocampus remains unclear. Therefore, we aimed to examine the relation between approach- and avoidance-oriented coping strategies and hippocampal volume in elderly persons. METHODS A total of 1045 elderly persons living in Arakawa-ward, Tokyo (mean ± SD age: 72.8 ± 5.2 years; 569 females [54.4%]) were included in the study and completed several questionnaires and face-to-face interviews and underwent magnetic resonance imaging. Approach- or avoidance-oriented coping strategies were assessed with the Stress and Coping Inventory, while cognitive function and depressive symptoms were assessed with the Mini-Mental State Examination and Geriatric Depression Scale, respectively. The volume of the whole hippocampus on T1-weighted images was delineated and calculated using FreeSurfer 6.0. Multiple regression analyses were performed to examine the relation between Stress and Coping Inventory scores and whole hippocampal volume. RESULTS Approach-oriented coping strategy scores were positively correlated with whole hippocampal volume. Furthermore, these relations remained significant after controlling for the influence of cognitive function and depressive symptoms on these volumetric variables. In contrast, avoidance-oriented coping strategy scores were not correlated with whole hippocampal volume. CONCLUSION This study demonstrated that hippocampal volume may be associated with the approach-oriented coping strategy; therefore, this strategy may preserve hippocampal volume in the elderly.
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Affiliation(s)
- Hisashi Kida
- Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan
| | - Shinichiro Nakajima
- Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan
| | - Ryo Shikimoto
- Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan
| | - Ryo Ochi
- Faculty of Environment and Information Studies, Keio University, Fujisawa, Japan
| | - Yoshihiro Noda
- Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan
| | - Sakiko Tsugawa
- Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan
| | - Shinya Fujii
- Faculty of Environment and Information Studies, Keio University, Fujisawa, Japan
| | - Midori Takayama
- Faculty of Science and Technology, Keio University, Yokohama, Japan
| | - Masaru Mimura
- Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan
| | - Hidehito Niimura
- Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan
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43
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trans-Cinnamaldehyde Reverses Depressive-Like Behaviors in Chronic Unpredictable Mild Stress Rats by Inhibiting NF- κB/NLRP3 Inflammasome Pathway. EVIDENCE-BASED COMPLEMENTARY AND ALTERNATIVE MEDICINE 2020; 2020:4572185. [PMID: 32328132 PMCID: PMC7155764 DOI: 10.1155/2020/4572185] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/19/2019] [Revised: 09/22/2019] [Accepted: 10/08/2019] [Indexed: 12/27/2022]
Abstract
trans-Cinnamaldehyde (TCA) is the main active component extracted from Cinnamomum cassia (C. cassia), which has many pharmacological effects, such as anti-inflammation, lowering blood glucose, and improving nerve function. However, there is no report of TCA in the treatment of depression. The purpose of this study was to investigate the antidepressant-like effect of TCA and the mechanism of NF kappa B (NF-κB) pathway and NLRP3 inflammasome inhibition by TCA. We divided 40 rats into the control group, CUMS group, FLU group, and the TCA group. The activation of the NF-κB pathway and NLRP3 inflammasome in prefrontal cortex and hippocampus of rats in each group was observed. After the treatments with FLU and TCA, the sucrose consumptions in rats increased significantly and the immobility time in forced swimming was decreased significantly compared to the CUMS group. The expression of TLR4, NF-κB-1, p-p65, TNF-α, NLRP3, ASC, caspase-1, IL-1β, and IL-18 proteins in prefrontal cortex and hippocampus was decreased, and the expression of IL-1β, IL-18, and TNF-α in serum was downregulated compared to the CUMS group. Similar to FLU, TCA reverses the depression-like behaviors in rats, which indicates that TCA has a significant antidepressant-like effect. The mechanism of the antidepressant property of TCA might be that it inhibits the activation of the NF-κB pathway and NLRP3 inflammasome in the prefrontal cortex and hippocampus of CUMS rats.
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44
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Wiels W, Baeken C, Engelborghs S. Depressive Symptoms in the Elderly-An Early Symptom of Dementia? A Systematic Review. Front Pharmacol 2020; 11:34. [PMID: 32116710 PMCID: PMC7020568 DOI: 10.3389/fphar.2020.00034] [Citation(s) in RCA: 32] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2019] [Accepted: 01/14/2020] [Indexed: 12/28/2022] Open
Abstract
Background Depression and dementia are common incapacitating diseases in old age. The exact nature of the relationship between these conditions remains unclear, and multiple explanations have been suggested: depressive symptoms may be a risk factor for, a prodromal symptom of, or a coincidental finding in dementia. They may even be unrelated or only connected through common risk factors. Multiple studies so far have provided conflicting results. Objectives To determine whether a systematic literature review can clarify the nature of the relation between depressive symptoms and dementia. Methods Using the Patient/Problem/Population, Intervention, Comparator, Outcome or PICO paradigm, a known framework for framing healthcare and evidence questions, we formulated the question “whether depressive symptoms in cognitively intact older adults are associated with a diagnosis of dementia later in life.” We performed a systematic literature review of MEDLINE and PsycINFO in November 2018, looking for prospective cohort studies examining the aforementioned question. Results We critically analyzed and listed 31 relevant papers out of 1,656 and grouped them according to the main hypothesis they support: depressive symptoms as a risk factor, not a risk factor, a prodromal symptom, both, or some specific other hypothesis. All but three studies used clinical diagnostic criteria for dementia alone (i.e., no biomarkers or autopsy confirmation). Several studies contain solid arguments for the hypotheses they support, yet they do not formally contradict other findings or suggested explanations and are heterogeneous. Conclusions The exact nature of the relationship between depressive symptoms and dementia in the elderly remains inconclusive, with multiple studies supporting both the risk factor and prodromal hypotheses. Some provide arguments for common risk factors. It seems unlikely that there is no connection at all. We conclude that at least in a significant part of the patients, depressive symptoms and dementia are related. This may be due to common risk factors and/or depressive symptoms being a prodromal symptom of dementia and/or depression being a risk factor for dementia. These causal associations possibly overlap in some patients. Further research is warranted to develop predictive biomarkers and to develop interventions that may attenuate the risk of “conversion” from depressive symptoms to dementia in the elderly.
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Affiliation(s)
- Wietse Wiels
- Department of Neurology, Universitair Ziekenhuis Brussel, Brussels, Belgium.,Center for Neurosciences (C4N), Vrije Universiteit Brussel, Brussels, Belgium
| | - Chris Baeken
- Center for Neurosciences (C4N), Vrije Universiteit Brussel, Brussels, Belgium.,Department of Psychiatry, Universitair Ziekenhuis Brussel, Brussels, Belgium.,Ghent Experimental Psychiatry (GHEP) Lab, Department of Psychiatry and Medical Psychology, Ghent University Hospital, Ghent University, Ghent, Belgium.,Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, Netherlands
| | - Sebastiaan Engelborghs
- Department of Neurology, Universitair Ziekenhuis Brussel, Brussels, Belgium.,Center for Neurosciences (C4N), Vrije Universiteit Brussel, Brussels, Belgium.,Department of Biomedical Sciences and Institute Born-Bunge, University of Antwerp, Antwerp, Belgium
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45
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Schiel JE, Spiegelhalder K. [Interaction of insomnia in old age and associated diseases : Cognitive, behavioral and neurobiological aspects]. Z Gerontol Geriatr 2020; 53:112-118. [PMID: 32020285 DOI: 10.1007/s00391-020-01694-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2019] [Accepted: 12/19/2019] [Indexed: 12/16/2022]
Abstract
The prevalence of insomnia is particularly high in old age. Sleep disturbances and impaired daytime functioning reflected in mood swings and concentration difficulties are often accompanied by other mental disorders such as depression. The objective of this article is to shed light on the role of insomnia in the context of frequent comorbidities in middle and old age. The focus is on the identification of linkage points between insomnia and associated diseases on a neurobiological level; however, possible distinguishing features are also named and deliberations on cognitive behavioral aspects and integrative theories, such as the hyperarousal theory are discussed. In order to provide an outlook for future research opportunities, the UK Biobank is presented as a promising resource of long-term data. Finally, the contents of the preceding deliberations are critically reflected and practical implications for the treatment of older patients with insomnia are derived.
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Affiliation(s)
- J E Schiel
- Klinik für Psychiatrie und Psychotherapie, Universitätsklinikum Freiburg, Medizinische Fakultät, Albert-Ludwigs-Universität, Hauptstr. 6, 79104, Freiburg, Deutschland.
| | - K Spiegelhalder
- Klinik für Psychiatrie und Psychotherapie, Universitätsklinikum Freiburg, Medizinische Fakultät, Albert-Ludwigs-Universität, Hauptstr. 6, 79104, Freiburg, Deutschland
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46
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Andreescu C, Ajilore O, Aizenstein HJ, Albert K, Butters MA, Landman BA, Karim HT, Krafty R, Taylor WD. Disruption of Neural Homeostasis as a Model of Relapse and Recurrence in Late-Life Depression. Am J Geriatr Psychiatry 2019; 27:1316-1330. [PMID: 31477459 PMCID: PMC6842700 DOI: 10.1016/j.jagp.2019.07.016] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/29/2019] [Revised: 06/26/2019] [Accepted: 07/29/2019] [Indexed: 12/29/2022]
Abstract
The significant public health burden associated with late-life depression (LLD) is magnified by the high rates of recurrence. In this manuscript, we review what is known about recurrence risk factors, conceptualize recurrence within a model of homeostatic disequilibrium, and discuss the potential significance and challenges of new research into LLD recurrence. The proposed model is anchored in the allostatic load theory of stress. We review the allostatic response characterized by neural changes in network function and connectivity and physiologic changes in the hypothalamic-pituitary-adrenal axis, autonomic nervous system, immune system, and circadian rhythm. We discuss the role of neural networks' instability following treatment response as a source of downstream disequilibrium, triggering and/or amplifying abnormal stress response, cognitive dysfunction and behavioral changes, ultimately precipitating a full-blown recurrent episode of depression. We propose strategies to identify and capture early change points that signal recurrence risk through mobile technology to collect ecologically measured symptoms, accompanied by automated algorithms that monitor for state shifts (persistent worsening) and variance shifts (increased variability) relative to a patient's baseline. Identifying such change points in relevant sensor data could potentially provide an automated tool that could alert clinicians to at-risk individuals or relevant symptom changes even in a large practice.
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Affiliation(s)
| | | | - Howard J. Aizenstein
- Department of Psychiatry, University of Pittsburgh,Department of Bioengineering, University of Pittsburgh
| | - Kimberly Albert
- The Center for Cognitive Medicine, the Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center
| | | | - Bennett A. Landman
- Departments of Computer Science, Electrical Engineering, and Biomedical Engineering, Vanderbilt University; Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center
| | | | - Robert Krafty
- Department of Biostatistics, University of Pittsburgh
| | - Warren D. Taylor
- The Center for Cognitive Medicine, the Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center,Geriatric Research, Education and Clinical Center, Department of Veterans Affairs Medical Center, Tennessee Valley Healthcare System
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47
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Noh HM, Roh YK, Song HJ, Park YS. Severe Fear of Falling Is Associated With Cognitive Decline in Older Adults: A 3-Year Prospective Study. J Am Med Dir Assoc 2019; 20:1540-1547. [DOI: 10.1016/j.jamda.2019.06.008] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2019] [Revised: 06/07/2019] [Accepted: 06/10/2019] [Indexed: 12/11/2022]
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48
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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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49
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Edwards III GA, Gamez N, Escobedo Jr. G, Calderon O, Moreno-Gonzalez I. Modifiable Risk Factors for Alzheimer's Disease. Front Aging Neurosci 2019; 11:146. [PMID: 31293412 PMCID: PMC6601685 DOI: 10.3389/fnagi.2019.00146] [Citation(s) in RCA: 129] [Impact Index Per Article: 25.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2019] [Accepted: 05/31/2019] [Indexed: 01/03/2023] Open
Abstract
Since first described in the early 1900s, Alzheimer's disease (AD) has risen exponentially in prevalence and concern. Research still drives to understand the etiology and pathogenesis of this disease and what risk factors can attribute to AD. With a majority of AD cases being of sporadic origin, the increasing exponential growth of an aged population and a lack of treatment, it is imperative to discover an easy accessible preventative method for AD. Some risk factors can increase the propensity of AD such as aging, sex, and genetics. Moreover, there are also modifiable risk factors-in terms of treatable medical conditions and lifestyle choices-that play a role in developing AD. These risk factors have their own biological mechanisms that may contribute to AD etiology and pathological consequences. In this review article, we will discuss modifiable risk factors and discuss the current literature of how each of these factors interplay into AD development and progression and if strategically analyzed and treated, could aid in protection against this neurodegenerative disease.
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Affiliation(s)
- George A. Edwards III
- The Mitchell Center for Alzheimer’s Disease and Related Brain Disorders, Department of Neurology, The University of Texas Houston Health Science Center at Houston, Houston, TX, United States
| | - Nazaret Gamez
- The Mitchell Center for Alzheimer’s Disease and Related Brain Disorders, Department of Neurology, The University of Texas Houston Health Science Center at Houston, Houston, TX, United States
- Networking Research Center on Neurodegenerative Diseases (CIBERNED), Department of Cell Biology, Facultad Ciencias, Universidad de Malaga, Malaga, Spain
| | - Gabriel Escobedo Jr.
- The Mitchell Center for Alzheimer’s Disease and Related Brain Disorders, Department of Neurology, The University of Texas Houston Health Science Center at Houston, Houston, TX, United States
| | - Olivia Calderon
- The Mitchell Center for Alzheimer’s Disease and Related Brain Disorders, Department of Neurology, The University of Texas Houston Health Science Center at Houston, Houston, TX, United States
| | - Ines Moreno-Gonzalez
- The Mitchell Center for Alzheimer’s Disease and Related Brain Disorders, Department of Neurology, The University of Texas Houston Health Science Center at Houston, Houston, TX, United States
- Networking Research Center on Neurodegenerative Diseases (CIBERNED), Department of Cell Biology, Facultad Ciencias, Universidad de Malaga, Malaga, Spain
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50
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Amen DG, Taylor DV, Meysami S, Raji CA. Deficits in Regional Cerebral Blood Flow on Brain SPECT Predict Treatment Resistant Depression. J Alzheimers Dis 2019; 63:529-538. [PMID: 29578481 DOI: 10.3233/jad-170855] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
BACKGROUND Depression remains an important risk factor for Alzheimer's disease, yet few neuroimaging biomarkers are available to identify treatment response in depression. OBJECTIVE To analyze and compare functional perfusion neuroimaging in persons with treatment resistant depression (TRD) compared to those experiencing full remission. METHODS A total of 951 subjects from a community psychiatry cohort were scanned with perfusion single photon emission computed tomography (SPECT) of the brain in both resting and task related settings. Of these, 78% experienced either full remission (n = 506) or partial remission (n = 237) and 11% were minimally responsive (n = 103) or non-responsive (11%. n = 106). Severity of depression symptoms were used to define these groups with changes in the Beck Depression Inventory prior to and following treatment. Voxel-based analyses of brain SPECT images from full remission compared to the worsening group was conducted with the statistical parametric mapping software, version 8 (SPM 8). Multiple comparisons were accounted for with a false discovery rate (p < 0.001). RESULTS Persons with depression that worsened following treatment had reduced cerebral perfusion compared to full remission in the multiple regions including the bilateral frontal lobes, right hippocampus, left precuneus, and cerebellar vermis. Such differences were observed on both resting and concentration SPECT scans. CONCLUSION Our findings identify imaging-based biomarkers in persons with depression related to treatment response. These findings have implications in understanding both depression to prognosis and its role as a risk factor for dementia.
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