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Mai N, Wu Y, Zhong X, Chen B, Zhang M, Peng Q, Ning Y. Increasing variance of rich-club nodes distribution in early onset depression according to dynamic network. Brain Imaging Behav 2024; 18:662-674. [PMID: 38349505 DOI: 10.1007/s11682-023-00848-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/23/2023] [Indexed: 07/04/2024]
Abstract
Early onset depression (EOD) and late onset depression (LOD) are thought to have different pathogeneses, but lack of pathological evidence. In the current study we describe the dynamic rich-club properties of patients with EOD and LOD to address this question indirectly. We recruited 82 patients with late life depression (EOD 40, LOD 42) and 90 healthy controls. Memory, executive function and processing speed were measured, and resting-stage functional MRI was performed with all participants. We constructed a dynamic functional connectivity network and carried out rich-club and modularity analyses. Normalized mutual information (NMI) was applied to describe the variance in rich-club nodes distribution and partitioning. The NMI coefficient of rich club nodes distribution among the three groups was the lowest in the EOD patients (F = 4.298; P = 0.0151, FDR = 0.0231), which was positively correlated with rich-club connectivity (R = 0.886, P < 0.001) and negatively correlated with memory (R = -0.347, P = 0.038) in the EOD group. In the LOD patients, non-rich-club connectivity was positively correlated with memory (R = 0.353, P = 0.030 and R = 0.420, P = 0.009). Furthermore, local connectivity was positively correlated with processing speed in the LOD patients (R = 0.374, P = 0.021). The modular partition was different between the EOD patients and the HCs (P = 0.0013 < 0.05/3). The temporal instability of rich-club nodes was found in the EOD patients, but not the LOD patients, supporting the hypothesis that EOD and LOD result from different pathogenesis, and showing that the instability of the rich-club nodes across time might disrupt rich-club connectivity.
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Affiliation(s)
- Naikeng Mai
- Department of Neurology, the Affiliated Brain Hospital of Guangzhou Medical University (Guangzhou Huiai Hospital), Guangdong, Guangzhou, China
| | - Yujie Wu
- School of Education Science, Guangdong Polytechnic Normal University, Guangdong, Guangzhou, China
| | - Xiaomei Zhong
- Geriatric Neuroscience center, the Affiliated Brain Hospital of Guangzhou Medical University (Guangzhou Huiai Hospital), Guangdong, Guangzhou, China
| | - Ben Chen
- Geriatric Neuroscience center, the Affiliated Brain Hospital of Guangzhou Medical University (Guangzhou Huiai Hospital), Guangdong, Guangzhou, China
| | - Min Zhang
- Geriatric Neuroscience center, the Affiliated Brain Hospital of Guangzhou Medical University (Guangzhou Huiai Hospital), Guangdong, Guangzhou, China
| | - Qi Peng
- Geriatric Neuroscience center, the Affiliated Brain Hospital of Guangzhou Medical University (Guangzhou Huiai Hospital), Guangdong, Guangzhou, China
| | - Yuping Ning
- Geriatric Neuroscience center, the Affiliated Brain Hospital of Guangzhou Medical University (Guangzhou Huiai Hospital), Guangdong, Guangzhou, China.
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Liu C, Li L, Zhu D, Lin S, Ren L, Zhen W, Tan W, Wang L, Tian L, Wang Q, Mao P, Pan W, Li B, Ma X. Individualized prediction of cognitive test scores from functional brain connectome in patients with first-episode late-life depression. J Affect Disord 2024; 352:32-42. [PMID: 38360359 DOI: 10.1016/j.jad.2024.02.030] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/15/2023] [Revised: 01/17/2024] [Accepted: 02/08/2024] [Indexed: 02/17/2024]
Abstract
BACKGROUND In the realm of cognitive screening, the Mini-Mental State Examination (MMSE) and the Montreal Cognitive Assessment (MoCA) are widely utilized for detecting cognitive deficits in patients with late-life depression (LLD), However, the interindividual variability in neuroimaging biomarkers contributing to individual-specific symptom severity remains poorly understood. In this study, we used a connectome-based predictive model (CPM) approach on resting-state functional magnetic resonance imaging data from patients with LLD to establish individualized prediction models for the MoCA and the MMSE scores. METHODS We recruited 135 individuals diagnosed with first-episode LLD for this research. Participants underwent the MMSE and MoCA tests, along with resting-state functional magnetic resonance imaging scans. Functional connectivity matrices derived from these scans were utilized in CPM models to predict MMSE or MoCA scores. Predictive precision was assessed by correlating predicted and observed scores, with the significance of prediction performance evaluated through a permutation test. RESULTS The negative model of the CPM procedure demonstrated a significant capacity to predict MoCA scores (r = -0.309, p = 0.002). Similarly, the CPM procedure could predict MMSE scores (r = -0.236, p = 0.016). The predictive models for cognitive test scores in LLD primarily involved the visual network, somatomotor network, dorsal attention network, and ventral attention network. CONCLUSIONS Brain functional connectivity emerges as a promising predictor of personalized cognitive test scores in LLD, suggesting that functional connectomes are potential neurobiological markers for cognitive performance in patients with LLD.
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Affiliation(s)
- Chaomeng Liu
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Li Li
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Dandi Zhu
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Shuo Lin
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Li Ren
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Wenfeng Zhen
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Weihao Tan
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Lina Wang
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Lu Tian
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Qian Wang
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Peixian Mao
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Weigang Pan
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China.
| | - Bing Li
- Hebei Provincial Mental Health Center, Baoding, China; Hebei Key Laboratory of Major Mental and Behavioral Disorders, Baoding, China; The Sixth Clinical Medical College of Hebei University, Baoding, China.
| | - Xin Ma
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China.
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3
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Arleo A, Bareš M, Bernard JA, Bogoian HR, Bruchhage MMK, Bryant P, Carlson ES, Chan CCH, Chen LK, Chung CP, Dotson VM, Filip P, Guell X, Habas C, Jacobs HIL, Kakei S, Lee TMC, Leggio M, Misiura M, Mitoma H, Olivito G, Ramanoël S, Rezaee Z, Samstag CL, Schmahmann JD, Sekiyama K, Wong CHY, Yamashita M, Manto M. Consensus Paper: Cerebellum and Ageing. CEREBELLUM (LONDON, ENGLAND) 2024; 23:802-832. [PMID: 37428408 PMCID: PMC10776824 DOI: 10.1007/s12311-023-01577-7] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 06/08/2023] [Indexed: 07/11/2023]
Abstract
Given the key roles of the cerebellum in motor, cognitive, and affective operations and given the decline of brain functions with aging, cerebellar circuitry is attracting the attention of the scientific community. The cerebellum plays a key role in timing aspects of both motor and cognitive operations, including for complex tasks such as spatial navigation. Anatomically, the cerebellum is connected with the basal ganglia via disynaptic loops, and it receives inputs from nearly every region in the cerebral cortex. The current leading hypothesis is that the cerebellum builds internal models and facilitates automatic behaviors through multiple interactions with the cerebral cortex, basal ganglia and spinal cord. The cerebellum undergoes structural and functional changes with aging, being involved in mobility frailty and related cognitive impairment as observed in the physio-cognitive decline syndrome (PCDS) affecting older, functionally-preserved adults who show slowness and/or weakness. Reductions in cerebellar volume accompany aging and are at least correlated with cognitive decline. There is a strongly negative correlation between cerebellar volume and age in cross-sectional studies, often mirrored by a reduced performance in motor tasks. Still, predictive motor timing scores remain stable over various age groups despite marked cerebellar atrophy. The cerebello-frontal network could play a significant role in processing speed and impaired cerebellar function due to aging might be compensated by increasing frontal activity to optimize processing speed in the elderly. For cognitive operations, decreased functional connectivity of the default mode network (DMN) is correlated with lower performances. Neuroimaging studies highlight that the cerebellum might be involved in the cognitive decline occurring in Alzheimer's disease (AD), independently of contributions of the cerebral cortex. Grey matter volume loss in AD is distinct from that seen in normal aging, occurring initially in cerebellar posterior lobe regions, and is associated with neuronal, synaptic and beta-amyloid neuropathology. Regarding depression, structural imaging studies have identified a relationship between depressive symptoms and cerebellar gray matter volume. In particular, major depressive disorder (MDD) and higher depressive symptom burden are associated with smaller gray matter volumes in the total cerebellum as well as the posterior cerebellum, vermis, and posterior Crus I. From the genetic/epigenetic standpoint, prominent DNA methylation changes in the cerebellum with aging are both in the form of hypo- and hyper-methylation, and the presumably increased/decreased expression of certain genes might impact on motor coordination. Training influences motor skills and lifelong practice might contribute to structural maintenance of the cerebellum in old age, reducing loss of grey matter volume and therefore contributing to the maintenance of cerebellar reserve. Non-invasive cerebellar stimulation techniques are increasingly being applied to enhance cerebellar functions related to motor, cognitive, and affective operations. They might enhance cerebellar reserve in the elderly. In conclusion, macroscopic and microscopic changes occur in the cerebellum during the lifespan, with changes in structural and functional connectivity with both the cerebral cortex and basal ganglia. With the aging of the population and the impact of aging on quality of life, the panel of experts considers that there is a huge need to clarify how the effects of aging on the cerebellar circuitry modify specific motor, cognitive, and affective operations both in normal subjects and in brain disorders such as AD or MDD, with the goal of preventing symptoms or improving the motor, cognitive, and affective symptoms.
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Affiliation(s)
- Angelo Arleo
- Sorbonne Université, INSERM, CNRS, Institut de la Vision, 17 rue Moreau, F-75012, Paris, France
| | - Martin Bareš
- First Department of Neurology, Faculty of Medicine, Masaryk University and St. Anne's Teaching Hospital, Brno, Czech Republic
- Department of Neurology, School of Medicine, University of Minnesota, Minneapolis, USA
| | - Jessica A Bernard
- Department of Psychological and Brain Sciences, Texas A&M University, 4235 TAMU, College Station, TX, 77843, USA
- Texas A&M Institute for Neuroscience, Texas A&M University, College Station, TX, USA
| | - Hannah R Bogoian
- Department of Psychology, Georgia State University, Atlanta, GA, USA
| | - Muriel M K Bruchhage
- Department of Psychology, Stavanger University, Institute of Social Sciences, Kjell Arholms Gate 41, 4021, Stavanger, Norway
- King's College London, Institute of Psychiatry, Psychology and Neuroscience, Centre for Neuroimaging Sciences, Box 89, De Crespigny Park, London, PO, SE5 8AF, UK
- Rhode Island Hospital, Department for Diagnostic Imaging, 1 Hoppin St, Providence, RI, 02903, USA
- Department of Paediatrics, Warren Alpert Medical School of Brown University, 222 Richmond St, Providence, RI, 02903, USA
| | - Patrick Bryant
- Freie Universität Berlin, Fachbereich Mathematik und Informatik, Arnimallee 12, 14195, Berlin, Germany
| | - Erik S Carlson
- Department of Psychiatry and Behavioural Sciences, University of Washington, Seattle, WA, USA
- Geriatric Research, Education and Clinical Center, Veteran's Affairs Medical Center, Puget Sound, Seattle, WA, USA
| | - Chetwyn C H Chan
- Department of Psychology, The Education University of Hong Kong, New Territories, Tai Po, Hong Kong, China
| | - Liang-Kung Chen
- Center for Healthy Longevity and Aging Sciences, National Yang Ming Chiao Tung University College of Medicine, Taipei, Taiwan
- Center for Geriatric and Gerontology, Taipei Veterans General Hospital, Taipei, Taiwan
- Taipei Municipal Gan-Dau Hospital (managed by Taipei Veterans General Hospital), Taipei, Taiwan
| | - Chih-Ping Chung
- Center for Healthy Longevity and Aging Sciences, National Yang Ming Chiao Tung University College of Medicine, Taipei, Taiwan
- Department of Neurology, Neurological Institute, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Vonetta M Dotson
- Department of Psychology, Georgia State University, Atlanta, GA, USA
- Gerontology Institute, Georgia State University, Atlanta, GA, USA
| | - Pavel Filip
- Department of Neurology, Charles University, First Faculty of Medicine and General University Hospital, Prague, Czech Republic
- Center for Magnetic Resonance Research (CMRR), University of Minnesota, Minneapolis, MN, USA
| | - Xavier Guell
- Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Laboratory for Neuroanatomy and Cerebellar Neurobiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Christophe Habas
- CHNO Des Quinze-Vingts, INSERM-DGOS CIC 1423, 28 rue de Charenton, 75012, Paris, France
- Université Versailles St Quentin en Yvelines, Paris, France
| | - Heidi I L Jacobs
- School for Mental Health and Neuroscience, Alzheimer Centre Limburg, Maastricht University, PO BOX 616, 6200, MD, Maastricht, The Netherlands
- Faculty of Psychology and Neuroscience, Department of Cognitive Neuroscience, Maastricht University, PO BOX 616, 6200, MD, Maastricht, The Netherlands
- Gordon Center for Medical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | | | - Tatia M C Lee
- State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, Hong Kong, China
- Laboratory of Neuropsychology and Human Neuroscience, Department of Psychology, The University of Hong Kong, Hong Kong, China
| | - Maria Leggio
- Department of Psychology, Sapienza University of Rome, Rome, Italy
- Ataxia Laboratory, I.R.C.C.S. Santa Lucia Foundation, Rome, Italy
| | - Maria Misiura
- Department of Psychology, Georgia State University, Atlanta, GA, USA
| | - Hiroshi Mitoma
- Department of Medical Education, Tokyo Medical University, Tokyo, Japan
| | - Giusy Olivito
- Department of Psychology, Sapienza University of Rome, Rome, Italy
- Ataxia Laboratory, I.R.C.C.S. Santa Lucia Foundation, Rome, Italy
| | - Stephen Ramanoël
- Sorbonne Université, INSERM, CNRS, Institut de la Vision, 17 rue Moreau, F-75012, Paris, France
- Université Côte d'Azur, LAMHESS, Nice, France
| | - Zeynab Rezaee
- Noninvasive Neuromodulation Unit, Experimental Therapeutics & Pathophysiology Branch, National Institute of Mental Health, NIH, Bethesda, USA
| | - Colby L Samstag
- Department of Psychiatry and Behavioural Sciences, University of Washington, Seattle, WA, USA
- Geriatric Research, Education and Clinical Center, Veteran's Affairs Medical Center, Puget Sound, Seattle, WA, USA
| | - Jeremy D Schmahmann
- Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Laboratory for Neuroanatomy and Cerebellar Neurobiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Ataxia Center, Cognitive Behavioural neurology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Kaoru Sekiyama
- Graduate School of Advanced Integrated Studies in Human Survivability, Kyoto University, Kyoto, Japan
| | - Clive H Y Wong
- Department of Psychology, The Education University of Hong Kong, New Territories, Tai Po, Hong Kong, China
| | - Masatoshi Yamashita
- Research Center for Child Mental Development, University of Fukui, Fukui, Japan
- United Graduate School of Child Development, Osaka University, Kanazawa University, Hamamatsu University School of Medicine, Chiba University and University of Fukui, Osaka, Japan
| | - Mario Manto
- Service de Neurologie, Médiathèque Jean Jacquy, CHU-Charleroi, Charleroi, Belgium.
- Service des Neurosciences, University of Mons, Mons, Belgium.
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Chen Z, Xu T, Li Q, Shu Y, Zhou X, Guo T, Liang F. Grey matter abnormalities in major depressive disorder patients with suicide attempts: A systematic review of age-specific differences. Heliyon 2024; 10:e24894. [PMID: 38317985 PMCID: PMC10839985 DOI: 10.1016/j.heliyon.2024.e24894] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2023] [Revised: 12/29/2023] [Accepted: 01/11/2024] [Indexed: 02/07/2024] Open
Abstract
Background Previous studies have reported alterations in brain structure in major depressive disorder (MDD) patients with suicide attempts. However, age-related changes in suicidal MDD patients remain unclear. Methods We performed a systematic review following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Embase, PubMed, and Web of Science were searched to identify relevant studies from inception to January 2023. All voxel-based and surface-based morphometry studies comparing suicidal MDD patients to MDD or healthy controls were included. Studies were then grouped by age range (old, middle-age, adolescent) and the commonalities and age-related structural brain alterations were summarized. The included studies were evaluated using the Newcastle-Ottawa Scale (NOS). Results A total of 17 studies met the inclusion criteria, including 3 of late-life depression (LLD) patients, 11 of middle-aged depression (MAD) patients, and 3 of adolescent depression (AOD) patients. The majority of studies had moderate to high NOS scores, indicating good quality. Patients in all three age groups exhibited extensive alterations in the lateral, medial, and orbital regions of the frontal lobes. Furthermore, suicidal MAD patients showed a specific decrease in the gray matter volume of the dorsolateral prefrontal cortex compared to suicidal LLD patients. Cortical thickness and left angular gyrus volume were decreased in suicidal MAD and suicidal LLD patients, but increased in suicidal AOD patients. Conclusion This systematic review summarizes structural brain changes in suicidal MDD patients at three age groups: elderly, middle-aged, and adolescent. These findings help elucidate the common circuitry of MDD related to suicide over the lifespan and highlight unique circuitry associated with different ages. These findings may help predict the risk of suicide in MDD patients at different ages.
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Affiliation(s)
- Ziwen Chen
- Department of Acupuncture and Moxibustion, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Tao Xu
- Department of Acupuncture and Moxibustion, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Qifu Li
- Department of Acupuncture and Moxibustion Rehabilitation, Yunnan University of Chinese Medicine, Kunming, China
| | - Yunjie Shu
- Department of Acupuncture and Moxibustion, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Xueli Zhou
- Department of Acupuncture and Moxibustion, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Taipin Guo
- Department of Acupuncture and Moxibustion Rehabilitation, Yunnan University of Chinese Medicine, Kunming, China
| | - Fanrong Liang
- Department of Acupuncture and Moxibustion, Chengdu University of Traditional Chinese Medicine, Chengdu, China
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Hannon K, Bijsterbosch J. Challenges in Identifying Individualized Brain Biomarkers of Late Life Depression. ADVANCES IN GERIATRIC MEDICINE AND RESEARCH 2024; 5:e230010. [PMID: 38348374 PMCID: PMC10861244 DOI: 10.20900/agmr20230010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/15/2024]
Abstract
Research into neuroimaging biomarkers for Late Life Depression (LLD) has identified neural correlates of LLD including increased white matter hyperintensities and reduced hippocampal volume. However, studies into neuroimaging biomarkers for LLD largely fail to converge. This lack of replicability is potentially due to challenges linked to construct variability, etiological heterogeneity, and experimental rigor. We discuss suggestions to help address these challenges, including improved construct standardization, increased sample sizes, multimodal approaches to parse heterogeneity, and the use of individualized analytical models.
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Affiliation(s)
- Kayla Hannon
- Department of Radiology, Washington University in St Louis, St Louis MO, 63110, USA
| | - Janine Bijsterbosch
- Department of Radiology, Washington University in St Louis, St Louis MO, 63110, USA
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Fisher DW, Dunn JT, Dong H. Distinguishing features of depression in dementia from primary psychiatric disease. DISCOVER MENTAL HEALTH 2024; 4:3. [PMID: 38175420 PMCID: PMC10767128 DOI: 10.1007/s44192-023-00057-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/27/2023] [Accepted: 12/18/2023] [Indexed: 01/05/2024]
Abstract
Depression is a common and devastating neuropsychiatric symptom in the elderly and in patients with dementia. In particular, nearly 80% of patients with Alzheimer's Disease dementia experience depression during disease development and progression. However, it is unknown whether the depression in patients with dementia shares the same molecular mechanisms as depression presenting as primary psychiatric disease or occurs and persists through alternative mechanisms. In this review, we discuss how the clinical presentation and treatment differ between depression in dementia and as a primary psychiatric disease, with a focus on major depressive disorder. Then, we hypothesize several molecular mechanisms that may be unique to depression in dementia such as neuropathological changes, inflammation, and vascular events. Finally, we discuss existing issues and future directions for investigation and treatment of depression in dementia.
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Affiliation(s)
- Daniel W Fisher
- Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, 303 E Chicago Ave, Chicago, IL, 60611, USA
- Department of Psychiatry and Behavioral Sciences, University of Washington School of Medicine, 1959 NE Pacific Street, Box 356560, Seattle, WA, 98195, USA
| | - Jeffrey T Dunn
- Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, 303 E Chicago Ave, Chicago, IL, 60611, USA
| | - Hongxin Dong
- Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, 303 E Chicago Ave, Chicago, IL, 60611, USA.
- Department of Neurology, Northwestern University Feinberg School of Medicine, 303 E Chicago Ave, Chicago, IL, 60611, USA.
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7
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Bogoian HR, Barber SJ, Carter SE, Mingo C, Rosano C, Dotson VM. Association of white matter hyperintensities and clinical vascular burden with depressive symptoms in Black older adults. Int J Geriatr Psychiatry 2024; 39:e6052. [PMID: 38165121 PMCID: PMC10947565 DOI: 10.1002/gps.6052] [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: 05/17/2023] [Accepted: 12/18/2023] [Indexed: 01/03/2024]
Abstract
OBJECTIVES Black older adults have a higher vascular burden compared to non-Hispanic White (NHW) older adults, which may put them at risk for a form of depression known as vascular depression (VaDep). The literature examining VaDep in Black older adults is sparse. The current study addressed this important gap by examining whether vascular burden was associated with depressive symptoms in Black older adults. METHODS Participants included 113 Black older adults from the Healthy Brain Project, a substudy of the Health, Aging, and Body Composition Study. In multiple regression analyses, clinical vascular burden (sum of vascular conditions) and white matter hyperintensity (WMH) volume predicted depressive symptoms as measured by the Center for Epidemiologic Studies Depression Scale, controlling for demographic variables. Follow-up analyses compared the associations in the Black subsample and in 179 NHW older adults. RESULTS Higher total WMH volume, but not clinically-defined vascular burden, predicted higher concurrent depressive symptoms and higher average depressive symptoms over 4 years. Similar associations were found between uncinate fasciculus (UF) WMHs and concurrent depressive symptoms and between superior longitudinal fasciculus WMHs and average depressive symptoms. The association between depressive symptoms and UF WMH was stronger in Black compared to NHW individuals. CONCLUSION This research is consistent with the VaDep hypothesis and extends it to Black older adults, a group that has historically been underrepresented in the literature. Results highlight WMH in the UF as particularly relevant to depressive symptoms in Black older adults and suggest this group may be particularly vulnerable to the negative effects of WMH.
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Affiliation(s)
- Hannah R. Bogoian
- Department of Psychology, Georgia State University, Atlanta, Georgia, USA
| | - Sarah J. Barber
- Department of Psychology, Georgia State University, Atlanta, Georgia, USA
- Gerontology Institute, Georgia State University, Atlanta, Georgia, USA
| | - Sierra E. Carter
- Department of Psychology, Georgia State University, Atlanta, Georgia, USA
| | - Chivon Mingo
- Gerontology Institute, Georgia State University, Atlanta, Georgia, USA
| | - Caterina Rosano
- Department of Epidemiology, School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Vonetta M. Dotson
- Department of Psychology, Georgia State University, Atlanta, Georgia, USA
- Gerontology Institute, Georgia State University, Atlanta, Georgia, USA
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8
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Taiwo Z, Tighe EL, Tone EB, Light SN, Dotson VM. Distinct latent symptom profiles in late-onset depressive symptoms in community-dwelling older adults. Aging Ment Health 2023; 27:2202-2210. [PMID: 37194465 PMCID: PMC10592582 DOI: 10.1080/13607863.2023.2211545] [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: 12/16/2022] [Accepted: 05/01/2023] [Indexed: 05/18/2023]
Abstract
OBJECTIVES To examine the symptom profiles of late-onset depressive symptoms in a sample of older adults. METHOD The sample included 1,192 participants from the National Alzheimer's Coordinating Center Data Set. Participants were ≥65 years old, community-dwelling, and without cognitive impairment or a prior history of depression. Depressive symptoms were assessed using the Geriatric Depression Scale, 15-item (GDS-15). Latent class analysis (LCA) was used to identify and group participants based on profiles of depressive symptoms. RESULTS LCA revealed three distinct symptom profiles: (1) an Anhedonia/Amotivation profile with a higher probability of endorsing a combination of low positive emotion and amotivation (6%), (2) an Amotivation/Withdrawal profile with a high probability of endorsing only amotivational depressive symptoms (35%), and (3) an asymptomatic profile with no probability of endorsing any depressive symptoms (59%). Amotivational depressive symptoms were observed across both symptomatic profiles, while depressed mood (e.g. sadness) did not predominantly characterize any profile in this sample. There were also significant differences among symptom profiles in terms of demographic and clinical characteristics. CONCLUSIONS Findings highlight the importance of understanding depression at the symptom pattern level. A profile-based diagnostic approach may help improve the recognition of depressive symptoms in older adults.
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Affiliation(s)
- Zinat Taiwo
- Department of Rehabilitation Psychology and Neuropsychology, The Institute for Rehabilitation and Research (TIRR) Memorial Hermann, Houston, Texas, USA
- Department of Physical Medicine and Rehabilitation, Baylor College of Medicine, Houston, TX, USA
| | | | - Erin B. Tone
- Department of Psychology, Georgia State University, Atlanta, GA, USA
| | - Sharee N. Light
- LSU Health Shreveport School of Medicine, Shreveport, LA, USA
| | - Vonetta M. Dotson
- Department of Psychology, Georgia State University, Atlanta, GA, USA
- Gerontology Institute, Georgia State University, Atlanta, GA, USA
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De Giorgi R, Rizzo Pesci N, Rosso G, Maina G, Cowen PJ, Harmer CJ. The pharmacological bases for repurposing statins in depression: a review of mechanistic studies. Transl Psychiatry 2023; 13:253. [PMID: 37438361 PMCID: PMC10338465 DOI: 10.1038/s41398-023-02533-z] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/29/2023] [Revised: 06/13/2023] [Accepted: 06/20/2023] [Indexed: 07/14/2023] Open
Abstract
Statins are commonly prescribed medications widely investigated for their potential actions on the brain and mental health. Pre-clinical and clinical evidence suggests that statins may play a role in the treatment of depressive disorders, but only the latter has been systematically assessed. Thus, the physiopathological mechanisms underlying statins' putative antidepressant or depressogenic effects have not been established. This review aims to gather available evidence from mechanistic studies to strengthen the pharmacological basis for repurposing statins in depression. We used a broad, well-validated search strategy over three major databases (Pubmed/MEDLINE, Embase, PsychINFO) to retrieve any mechanistic study investigating statins' effects on depression. The systematic search yielded 8068 records, which were narrowed down to 77 relevant papers. The selected studies (some dealing with more than one bodily system) described several neuropsychopharmacological (44 studies), endocrine-metabolic (17 studies), cardiovascular (6 studies) and immunological (15 studies) mechanisms potentially contributing to the effects of statins on mood. Numerous articles highlighted the beneficial effect of statins on depression, particularly through positive actions on serotonergic neurotransmission, neurogenesis and neuroplasticity, hypothalamic-pituitary axis regulation and modulation of inflammation. The role of other mechanisms, especially the association between statins, lipid metabolism and worsening of depressive symptoms, appears more controversial. Overall, most mechanistic evidence supports an antidepressant activity for statins, likely mediated by a variety of intertwined processes involving several bodily systems. Further research in this area can benefit from measuring relevant biomarkers to inform the selection of patients most likely to respond to statins' antidepressant effects while also improving our understanding of the physiopathological basis of depression.
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Affiliation(s)
- Riccardo De Giorgi
- University of Oxford, Department of Psychiatry, Warneford Hospital, Warneford Lane, Oxfordshire, Oxford, OX3 7JX, United Kingdom.
- Oxford Health NHS Foundation Trust, Warneford Hospital, Warneford Lane, Oxfordshire, Oxford, OX3 7JX, United Kingdom.
| | - Nicola Rizzo Pesci
- University of Turin, Department of Neurosciences "Rita Levi Montalcini", Via Cherasco 15, Turin, 10126, Italy
| | - Gianluca Rosso
- University of Turin, Department of Neurosciences "Rita Levi Montalcini", Via Cherasco 15, Turin, 10126, Italy
| | - Giuseppe Maina
- University of Turin, Department of Neurosciences "Rita Levi Montalcini", Via Cherasco 15, Turin, 10126, Italy
| | - Philip J Cowen
- University of Oxford, Department of Psychiatry, Warneford Hospital, Warneford Lane, Oxfordshire, Oxford, OX3 7JX, United Kingdom
- Oxford Health NHS Foundation Trust, Warneford Hospital, Warneford Lane, Oxfordshire, Oxford, OX3 7JX, United Kingdom
| | - Catherine J Harmer
- University of Oxford, Department of Psychiatry, Warneford Hospital, Warneford Lane, Oxfordshire, Oxford, OX3 7JX, United Kingdom
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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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Jellinger KA. The heterogeneity of late-life depression and its pathobiology: a brain network dysfunction disorder. J Neural Transm (Vienna) 2023:10.1007/s00702-023-02648-z. [PMID: 37145167 PMCID: PMC10162005 DOI: 10.1007/s00702-023-02648-z] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2023] [Accepted: 04/28/2023] [Indexed: 05/06/2023]
Abstract
Depression is frequent in older individuals and is often associated with cognitive impairment and increasing risk of subsequent dementia. Late-life depression (LLD) has a negative impact on quality of life, yet the underlying pathobiology is still poorly understood. It is characterized by considerable heterogeneity in clinical manifestation, genetics, brain morphology, and function. Although its diagnosis is based on standard criteria, due to overlap with other age-related pathologies, the relationship between depression and dementia and the relevant structural and functional cerebral lesions are still controversial. LLD has been related to a variety of pathogenic mechanisms associated with the underlying age-related neurodegenerative and cerebrovascular processes. In addition to biochemical abnormalities, involving serotonergic and GABAergic systems, widespread disturbances of cortico-limbic, cortico-subcortical, and other essential brain networks, with disruption in the topological organization of mood- and cognition-related or other global connections are involved. Most recent lesion mapping has identified an altered network architecture with "depressive circuits" and "resilience tracts", thus confirming that depression is a brain network dysfunction disorder. Further pathogenic mechanisms including neuroinflammation, neuroimmune dysregulation, oxidative stress, neurotrophic and other pathogenic factors, such as β-amyloid (and tau) deposition are in discussion. Antidepressant therapies induce various changes in brain structure and function. Better insights into the complex pathobiology of LLD and new biomarkers will allow earlier and better diagnosis of this frequent and disabling psychopathological disorder, and further elucidation of its complex pathobiological basis is warranted in order to provide better prevention and treatment of depression in older individuals.
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Affiliation(s)
- Kurt A Jellinger
- Institute of Clinical Neurobiology, Alberichgasse 5/13, 1150, Vienna, Austria.
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12
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Jellinger KA. The enigma of vascular depression in old age: a critical update. J Neural Transm (Vienna) 2022; 129:961-976. [PMID: 35705878 DOI: 10.1007/s00702-022-02521-5] [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: 04/08/2022] [Accepted: 05/22/2022] [Indexed: 12/14/2022]
Abstract
Depression is common in older individuals and is associated with high disability and increased mortality, yet the factors predicting late-life depression (LLD) are poorly understood. The relationship between of depressive disorder, age- and disease-related processes have generated pathogenic hypotheses and provided new treatment options. LLD syndrome is often related to a variety of vascular mechanisms, in particular hypertension, cerebral small vessel disease, white matter lesions, subcortical vascular impairment, and other processes (e.g., inflammation, neuroimmune regulatory dysmechanisms, neurodegenerative changes, amyloid accumulation) that may represent etiological factors by affecting frontolimbic and other neuronal networks predisposing to depression. The "vascular depression" hypothesis suggests that cerebrovascular disease (CVD) and vascular risk factors may predispose, induce or perpetuate geriatric depressive disorders. It is based on the presence of various cerebrovascular risk factors in many patients with LLD, its co-morbidity with cerebrovascular lesions, and the frequent development of depression after stroke. Other findings related to vascular depression are atrophy of the medial temporal cortex or generalized cortical atrophy that are usually associated with cognitive impairment. Other pathogenetic hypotheses of LLD, such as metabolic or inflammatory ones, are briefly discussed. Treatment planning should consider there may be a modest response to antidepressants, but several evidence-based and novel treatment options for LLD exist, such as electroconvulsive therapy, transcranial magnetic stimulation, neurobiology-based psychotherapy, as well as antihypertension and antiinflammatory drugs. However, their effectiveness needs further investigation, and new methodologies for prevention and treatment of depression in older individuals should be developed.
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Affiliation(s)
- Kurt A Jellinger
- Institute of Clinical Neurobiology, Alberichgasse 5/13, 1150, Vienna, Austria.
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13
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The Potential of Polygenic Risk Scores to Predict Antidepressant Treatment Response in Major Depression: A Systematic Review. J Affect Disord 2022; 304:1-11. [PMID: 35151671 DOI: 10.1016/j.jad.2022.02.015] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/19/2021] [Revised: 12/29/2021] [Accepted: 02/09/2022] [Indexed: 12/28/2022]
Abstract
BACKGROUND Understanding the genetic underpinnings of antidepressant treatment response in unipolar major depressive disorder (MDD) can be useful in identifying patients at risk for poor treatment response or treatment resistant depression. A polygenic risk score (PRS) is a useful tool to explore genetic liability of a complex trait such as antidepressant treatment response. Here, we review studies that use PRSs to examine genetic overlap between any trait and antidepressant treatment response in unipolar MDD. METHODS A systematic search of literature was conducted in PubMed, Embase, and PsycINFO. Our search included studies examining associations between PRSs of psychiatric as well as non-psychiatric traits and antidepressant treatment response in patients with unipolar MDD. A quality assessment of the included studies was performed. RESULTS In total, eleven articles were included which contained PRSs for 30 traits. Studies varied in sample size and endpoints used for antidepressant treatment response. Overall, PRSs for attention-deficit hyperactivity disorder, the personality trait openness, coronary artery disease, obesity, and stroke have been associated with antidepressant treatment response in patients with unipolar MDD. LIMITATIONS The endpoints used by included studies differed significantly, therefore it was not possible to perform a meta-analysis. CONCLUSIONS Associations between a PRS and antidepressant treatment response have been reported for a number of traits in patients with unipolar MDD. PRSs could be informative to predict antidepressant treatment response in this population, given advances in the field. Most importantly, there is a need for larger study cohorts and the use of standardized outcome measures.
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14
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Bogoian HR, Dotson VM. Vascular depression in Black Americans: A systematic review of the construct and its cognitive, functional, and psychosocial correlates. Clin Neuropsychol 2022; 36:431-461. [PMID: 34098846 PMCID: PMC10450356 DOI: 10.1080/13854046.2021.1933188] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2021] [Revised: 05/14/2021] [Accepted: 05/18/2021] [Indexed: 10/21/2022]
Abstract
Objective: Vascular burden is associated with cognitive deficits and a form of late-life depression, vascular depression (VaDep), which is marked by decreased white matter integrity, executive dysfunction, poor treatment response, and functional disability. Older Black Americans represent a vulnerable population at risk of developing VaDep, but the literature in this group is limited. Thus, the goal of this systematic review is to summarize the existing literature that informs our understanding of VaDep in older Black Americans, including cognitive, functional, and psychosocial outcomes. Method: Following Preferred Reporting Items for Systematic Reviews and Meta-analyses guidelines, studies were identified that examined the relationship between vascular disease or vascular risk factors and that either had a sample of at least 75% Black participants or conducted race-specific analyses. Thirty studies met all inclusion criterion based on review of both authors. Results: Overall, studies support the construct of VaDep in older Black Americans. There is preliminary support for VaDep-related cognitive and functional deficits, and mixed findings regarding racial disparities in prevalence of VaDep. Conclusion: This review underscores the need for further neuroimaging and neuropsychological research in Black older adults with comorbid depression and vascular disease. Findings also highlight the importance of screening for depressive symptoms in Black individuals with multiple vascular risk factors.
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Affiliation(s)
- Hannah R Bogoian
- Department of Psychology, Georgia State University, Atlanta, USA
| | - Vonetta M Dotson
- Department of Psychology, Georgia State University, Atlanta, USA
- Neuroscience Institute, Georgia State University, Atlanta, USA
- Gerontology Institute, Georgia State University, Atlanta, USA
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15
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Dutt RK, Hannon K, Easley TO, Griffis JC, Zhang W, Bijsterbosch JD. Mental health in the UK Biobank: A roadmap to self-report measures and neuroimaging correlates. Hum Brain Mapp 2022; 43:816-832. [PMID: 34708477 PMCID: PMC8720192 DOI: 10.1002/hbm.25690] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2021] [Revised: 09/10/2021] [Accepted: 10/11/2021] [Indexed: 11/09/2022] Open
Abstract
The UK Biobank (UKB) is a highly promising dataset for brain biomarker research into population mental health due to its unprecedented sample size and extensive phenotypic, imaging, and biological measurements. In this study, we aimed to provide a shared foundation for UKB neuroimaging research into mental health with a focus on anxiety and depression. We compared UKB self-report measures and revealed important timing effects between scan acquisition and separate online acquisition of some mental health measures. To overcome these timing effects, we introduced and validated the Recent Depressive Symptoms (RDS-4) score which we recommend for state-dependent and longitudinal research in the UKB. We furthermore tested univariate and multivariate associations between brain imaging-derived phenotypes (IDPs) and mental health. Our results showed a significant multivariate relationship between IDPs and mental health, which was replicable. Conversely, effect sizes for individual IDPs were small. Test-retest reliability of IDPs was stronger for measures of brain structure than for measures of brain function. Taken together, these results provide benchmarks and guidelines for future UKB research into brain biomarkers of mental health.
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Affiliation(s)
- Rosie K Dutt
- Department of RadiologyWashington University School of MedicineSaint LouisMissouriUSA
| | - Kayla Hannon
- Department of RadiologyWashington University School of MedicineSaint LouisMissouriUSA
| | - Ty O Easley
- Department of RadiologyWashington University School of MedicineSaint LouisMissouriUSA
| | - Joseph C Griffis
- Department of RadiologyWashington University School of MedicineSaint LouisMissouriUSA
| | - Wei Zhang
- Department of RadiologyWashington University School of MedicineSaint LouisMissouriUSA
| | - Janine D Bijsterbosch
- Department of RadiologyWashington University School of MedicineSaint LouisMissouriUSA
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16
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Jellinger KA. Pathomechanisms of Vascular Depression in Older Adults. Int J Mol Sci 2021; 23:ijms23010308. [PMID: 35008732 PMCID: PMC8745290 DOI: 10.3390/ijms23010308] [Citation(s) in RCA: 29] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2021] [Revised: 12/20/2021] [Accepted: 12/24/2021] [Indexed: 02/07/2023] Open
Abstract
Depression in older individuals is a common complex mood disorder with high comorbidity of both psychiatric and physical diseases, associated with high disability, cognitive decline, and increased mortality The factors predicting the risk of late-life depression (LLD) are incompletely understood. The reciprocal relationship of depressive disorder and age- and disease-related processes has generated pathogenic hypotheses and provided various treatment options. The heterogeneity of depression complicates research into the underlying pathogenic cascade, and factors involved in LLD considerably differ from those involved in early life depression. Evidence suggests that a variety of vascular mechanisms, in particular cerebral small vessel disease, generalized microvascular, and endothelial dysfunction, as well as metabolic risk factors, including diabetes, and inflammation that may induce subcortical white and gray matter lesions by compromising fronto-limbic and other important neuronal networks, may contribute to the development of LLD. The "vascular depression" hypothesis postulates that cerebrovascular disease or vascular risk factors can predispose, precipitate, and perpetuate geriatric depression syndromes, based on their comorbidity with cerebrovascular lesions and the frequent development of depression after stroke. Vascular burden is associated with cognitive deficits and a specific form of LLD, vascular depression, which is marked by decreased white matter integrity, executive dysfunction, functional disability, and poorer response to antidepressive therapy than major depressive disorder without vascular risk factors. Other pathogenic factors of LLD, such as neurodegeneration or neuroimmune regulatory dysmechanisms, are briefly discussed. Treatment planning should consider a modest response of LLD to antidepressants, while vascular and metabolic factors may provide promising targets for its successful prevention and treatment. However, their effectiveness needs further investigation, and intervention studies are needed to assess which interventions are appropriate and effective in clinical practice.
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Affiliation(s)
- Kurt A Jellinger
- Institute of Clinical Neurobiology, Alberichgasse 5/13, 1150 Vienna, Austria
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17
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Zhukovsky P, Anderson JAE, Coughlan G, Mulsant BH, Cipriani A, Voineskos AN. Coordinate-Based Network Mapping of Brain Structure in Major Depressive Disorder in Younger and Older Adults: A Systematic Review and Meta-Analysis. Am J Psychiatry 2021; 178:1119-1128. [PMID: 34645274 DOI: 10.1176/appi.ajp.2021.21010088] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
Abstract
OBJECTIVE Structural neuroimaging findings in younger and older adults with major depressive disorder (MDD) are highly heterogeneous, possibly as a result of methodological limitations, lack of distinction between MDD and late-life depression (LLD), or clinical moderators. Using a novel meta-analytic network mapping approach, the authors sought to identify the circuits affected in different clinical subtypes of MDD. METHODS The authors identified all voxel-based and surface-based morphometry studies published through October 2020 that compared younger adults with MDD or older adults with LLD to nonpsychiatric control participants. An activation likelihood estimation (ALE) analysis and a novel coordinate-based network mapping approach were used to identify brain circuits affected in MDD and LLD. Meta-regressions examined the impact of age at onset in older patients with LLD and treatment with antidepressants in younger patients with MDD. RESULTS The authors analyzed 145 comparisons from 143 articles, including a total of 14,318 participants (MDD: N=6,362; LLD: N=535; control subjects: N=7,421). Significant ALE results confirmed previous findings implicating the left and right parahippocampus and anterior cingulate in MDD and the anterior cingulate in LLD. In contrast, coordinate-based network mapping showed differences in the frontoparietal, dorsal attention, and visual networks both in MDD and LLD. Meta-regressions showed that late onset was significantly associated with widespread structural abnormalities in LLD, and treatment with antidepressants showed a significant association with abnormalities in the anterior cingulate (Brodmann's area 32) and dorsolateral prefrontal cortex (Brodmann's area 9) in MDD. CONCLUSIONS These findings help to clarify the shared circuitry of depression across the adult lifespan and highlight some unique circuitry relevant to late-onset depression, which may explain some of the risk for cognitive decline and dementia.
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Affiliation(s)
- Peter Zhukovsky
- Centre for Addiction and Mental Health, Toronto (Zhukovsky, Anderson, Mulsant, Voineskos); Department of Psychiatry, University of Toronto, Toronto (Zhukovsky, Anderson, Mulsant, Voineskos); Rotman Research Institute, Baycrest Hospital, Toronto (Coughlan); Department of Psychiatry, University of Oxford, and Oxford Health NHS Foundation Trust, Warneford Hospital, Oxford, U.K. (Cipriani); Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto (Mulsant, Voineskos); Institute of Medical Science, Faculty of Medicine, University of Toronto, Toronto (Mulsant, Voineskos)
| | - John A E Anderson
- Centre for Addiction and Mental Health, Toronto (Zhukovsky, Anderson, Mulsant, Voineskos); Department of Psychiatry, University of Toronto, Toronto (Zhukovsky, Anderson, Mulsant, Voineskos); Rotman Research Institute, Baycrest Hospital, Toronto (Coughlan); Department of Psychiatry, University of Oxford, and Oxford Health NHS Foundation Trust, Warneford Hospital, Oxford, U.K. (Cipriani); Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto (Mulsant, Voineskos); Institute of Medical Science, Faculty of Medicine, University of Toronto, Toronto (Mulsant, Voineskos)
| | - Gillian Coughlan
- Centre for Addiction and Mental Health, Toronto (Zhukovsky, Anderson, Mulsant, Voineskos); Department of Psychiatry, University of Toronto, Toronto (Zhukovsky, Anderson, Mulsant, Voineskos); Rotman Research Institute, Baycrest Hospital, Toronto (Coughlan); Department of Psychiatry, University of Oxford, and Oxford Health NHS Foundation Trust, Warneford Hospital, Oxford, U.K. (Cipriani); Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto (Mulsant, Voineskos); Institute of Medical Science, Faculty of Medicine, University of Toronto, Toronto (Mulsant, Voineskos)
| | - Benoit H Mulsant
- Centre for Addiction and Mental Health, Toronto (Zhukovsky, Anderson, Mulsant, Voineskos); Department of Psychiatry, University of Toronto, Toronto (Zhukovsky, Anderson, Mulsant, Voineskos); Rotman Research Institute, Baycrest Hospital, Toronto (Coughlan); Department of Psychiatry, University of Oxford, and Oxford Health NHS Foundation Trust, Warneford Hospital, Oxford, U.K. (Cipriani); Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto (Mulsant, Voineskos); Institute of Medical Science, Faculty of Medicine, University of Toronto, Toronto (Mulsant, Voineskos)
| | - Andrea Cipriani
- Centre for Addiction and Mental Health, Toronto (Zhukovsky, Anderson, Mulsant, Voineskos); Department of Psychiatry, University of Toronto, Toronto (Zhukovsky, Anderson, Mulsant, Voineskos); Rotman Research Institute, Baycrest Hospital, Toronto (Coughlan); Department of Psychiatry, University of Oxford, and Oxford Health NHS Foundation Trust, Warneford Hospital, Oxford, U.K. (Cipriani); Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto (Mulsant, Voineskos); Institute of Medical Science, Faculty of Medicine, University of Toronto, Toronto (Mulsant, Voineskos)
| | - Aristotle N Voineskos
- Centre for Addiction and Mental Health, Toronto (Zhukovsky, Anderson, Mulsant, Voineskos); Department of Psychiatry, University of Toronto, Toronto (Zhukovsky, Anderson, Mulsant, Voineskos); Rotman Research Institute, Baycrest Hospital, Toronto (Coughlan); Department of Psychiatry, University of Oxford, and Oxford Health NHS Foundation Trust, Warneford Hospital, Oxford, U.K. (Cipriani); Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto (Mulsant, Voineskos); Institute of Medical Science, Faculty of Medicine, University of Toronto, Toronto (Mulsant, Voineskos)
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18
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Dalby RB, Eskildsen SF, Videbech P, Rosenberg R, Østergaard L. Cerebral hemodynamics and capillary dysfunction in late-onset major depressive disorder. Psychiatry Res Neuroimaging 2021; 317:111383. [PMID: 34508953 DOI: 10.1016/j.pscychresns.2021.111383] [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: 03/06/2021] [Revised: 08/22/2021] [Accepted: 08/31/2021] [Indexed: 02/06/2023]
Abstract
In major depressive disorder (MDD), perfusion changes in cortico-limbic pathways are interpreted as altered neuronal activity, but they could also signify changes in neurovascular coupling due to altered capillary function. To examine capillary function in late-onset MDD, 22 patients and 22 age- and gender-matched controls underwent perfusion MRI. We measured normalized cerebral blood flow (nCBF), cerebral blood volume (nCBV), and relative transit-time heterogeneity (RTH). Resulting brain oxygenation was estimated in terms of oxygen tension and normalized metabolic rate of oxygen (nCMRO2). Patients revealed signs of capillary dysfunction (elevated RTH) in the anterior prefrontal cortex and ventral anterior cingulate cortex bilaterally and in the left insulate cortex compared to controls, bilateral hypometabolism (parallel reductions of nCBV, nCBF, and CMRO2) but preserved capillary function in the subthalamic nucleus and globus pallidus bilaterally, and hyperactivity with preserved capillary function (increased nCBF) in the cerebellum and brainstem. Our data support that perfusion changes in deep nuclei and cerebellum reflect abnormally low and high activity, respectively, in MDD patients, but suggest that microvascular pathology affects neurovascular coupling in ventral circuits. We speculate that microvascular pathology is important for our understanding of etiology of late-onset MDD as well as infererences about resulting brain activity changes.
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Affiliation(s)
- Rikke B Dalby
- Center of Functionally Integrative Neuroscience (CFIN) / MINDLab, Department of Clinical Medicine, Aarhus University, Aarhus, Denmark; Centre for Psychiatric Research, Aarhus University Hospital, Risskov, Denmark; Department of Radiology, Section of Neuroradiology, Aarhus University Hospital, Aarhus, Denmark.
| | - Simon F Eskildsen
- Center of Functionally Integrative Neuroscience (CFIN) / MINDLab, Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - Poul Videbech
- Center for Neuropsychiatric Depression Research, Mental Health Center Glostrup, Glostrup, Denmark
| | - Raben Rosenberg
- Centre for Psychiatric Research, Aarhus University Hospital, Risskov, Denmark; Centre of Psychiatry Amager, Mental Health Services in the Capital Region of Denmark, Copenhagen, Denmark
| | - Leif Østergaard
- Center of Functionally Integrative Neuroscience (CFIN) / MINDLab, Department of Clinical Medicine, Aarhus University, Aarhus, Denmark; Neuroradiology Research Unit, Department of Radiology, Section of Neuroradiology, Aarhus University Hospital, Aarhus, Denmark
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19
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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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Gunning FM, Oberlin LE, Schier M, Victoria LW. Brain-based mechanisms of late-life depression: Implications for novel interventions. Semin Cell Dev Biol 2021; 116:169-179. [PMID: 33992530 PMCID: PMC8548387 DOI: 10.1016/j.semcdb.2021.05.002] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2021] [Revised: 04/26/2021] [Accepted: 05/01/2021] [Indexed: 12/11/2022]
Abstract
Late-life depression (LLD) is a particularly debilitating illness. Older adults suffering from depression commonly experience poor outcomes in response to antidepressant treatments, medical comorbidities, and declines in daily functioning. This review aims to further our understanding of the brain network dysfunctions underlying LLD that contribute to disrupted cognitive and affective processes and corresponding clinical manifestations. We provide an overview of a network model of LLD that integrates the salience network, the default mode network (DMN) and the executive control network (ECN). We discuss the brain-based structural and functional mechanisms of LLD with an emphasis on their link to clinical subtypes that often fail to respond to available treatments. Understanding the brain networks that underlie these disrupted processes can inform the development of targeted interventions for LLD. We propose behavioral, cognitive, or computational approaches to identifying novel, personalized interventions that may more effectively target the key cognitive and affective symptoms of LLD.
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Affiliation(s)
- Faith M Gunning
- Department of Psychiatry, Weill Cornell Medicine, New York, NY 10065, USA.
| | - Lauren E Oberlin
- Department of Psychiatry, Weill Cornell Medicine, New York, NY 10065, USA
| | - Maddy Schier
- Department of Psychiatry, Weill Cornell Medicine, New York, NY 10065, USA
| | - Lindsay W Victoria
- Department of Psychiatry, Weill Cornell Medicine, New York, NY 10065, USA.
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21
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Tang Z, Feng S, Lin J. Depression and its correlation with social support and health-promoting lifestyles among Chinese university students: a cross-sectional study. BMJ Open 2021; 11:e044236. [PMID: 34226212 PMCID: PMC8258557 DOI: 10.1136/bmjopen-2020-044236] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/19/2022] Open
Abstract
OBJECTIVES To investigate the prevalence of depression in college students and determine how social support and healthy lifestyle factors are associated with depression in this population. DESIGN A cross-sectional design. SETTING A comprehensive university in Changsha, Hunan, South China. The study was conducted from May to June 2019. PARTICIPANTS A total of 541 students at the comprehensive university. PRIMARY AND SECONDARY OUTCOME MEASURES The Zung Self-Rating Depression Scale, Social Support Rating Scale and Health-Promoting Lifestyle Profile-II (HPLP-II) were used to evaluate depression, social support and lifestyles, respectively, and analyse the mutual relationships among them. RESULTS Among the 541 participants, 161 (29.8%) experienced depressive symptoms, and there were significant gender-related and academic discipline-related differences in self-rated depression. The average social support score was 38.06 (38.06±7.52). The average HPLP-II score was 71.09 (71.09±11.47). A monofactor analysis showed that depression was correlated with social support and a healthy lifestyle. As demonstrated by logistic regression analysis, being a woman (OR=2.613, 95% CI: 1.541 to 4.43), inadequate social support (OR=0.912, 95% CI: 0.877 to 0.948), poor nutrition (OR=0.87, 95% CI: 0.775 to 0.977) and lack of self-actualisation (OR=0.644, 95% CI: 0.572 to 0.724) were significantly correlated with depression. CONCLUSIONS Owing to the high prevalence of depression among Chinese university students, educational institutions must take measures such as providing compulsory mental health education courses and improving the psychological counselling services available to students.
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Affiliation(s)
- Zaili Tang
- Department of Medical Record Management and Statistics, First Affiliated Hospital of University of South China, Hengyang, China
| | - Shuidong Feng
- Department of Epidemiology & Health Statistics, University of South China, Hengyang, China
| | - Jing Lin
- Xiangya International Academy of Translational Medicine, Central South University, Changsha, China
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22
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Forbes MP, O'Neil A, Lane M, Agustini B, Myles N, Berk M. Major Depressive Disorder in Older Patients as an Inflammatory Disorder: Implications for the Pharmacological Management of Geriatric Depression. Drugs Aging 2021; 38:451-467. [PMID: 33913114 DOI: 10.1007/s40266-021-00858-2] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/25/2021] [Indexed: 12/14/2022]
Abstract
Depression is a common and highly disabling condition in older adults. It is a heterogenous disorder and there is emerging evidence of a link between inflammation and depression in older patients, with a possible inflammatory subtype of depression. Persistent low-level inflammation, from several sources including psychological distress and chronic disease, can disrupt monoaminergic and glutaminergic systems to create dysfunctional brain networks. Despite the evidence for the role of inflammation in depression, there is insufficient evidence to recommend use of any putative anti-inflammatory agent in the treatment of depression in older adults at this stage. Further characterisation of markers of inflammation and stratification of participants with elevated rates of inflammatory markers in treatment trials is needed.
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Affiliation(s)
- Malcolm P Forbes
- Mental Health, Drugs and Alcohol Services, Barwon Health, Geelong, VIC, 3216, Australia.
- The Institute for Mental and Physical Health and Clinical Translation (IMPACT), School of Medicine, Deakin University, Geelong, VIC, 3216, Australia.
- Department of Psychiatry, University of Melbourne, Parkville, VIC, 3050, Australia.
| | - Adrienne O'Neil
- The Institute for Mental and Physical Health and Clinical Translation (IMPACT), School of Medicine, Deakin University, Geelong, VIC, 3216, Australia
- School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, 3004, Australia
| | - Melissa Lane
- The Institute for Mental and Physical Health and Clinical Translation (IMPACT), School of Medicine, Deakin University, Geelong, VIC, 3216, Australia
| | - Bruno Agustini
- The Institute for Mental and Physical Health and Clinical Translation (IMPACT), School of Medicine, Deakin University, Geelong, VIC, 3216, Australia
| | - Nick Myles
- Faculty of Medicine, University of Queensland, St Lucia, QLD, 4072, Australia
| | - Michael Berk
- The Institute for Mental and Physical Health and Clinical Translation (IMPACT), School of Medicine, Deakin University, Geelong, VIC, 3216, Australia
- Department of Psychiatry, University of Melbourne, Parkville, VIC, 3050, Australia
- School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, 3004, Australia
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23
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van den Berg KS, Wiersema C, Hegeman JM, van den Brink RHS, Rhebergen D, Marijnissen RM, Oude Voshaar RC. Clinical characteristics of late-life depression predicting mortality. Aging Ment Health 2021; 25:476-483. [PMID: 31830826 DOI: 10.1080/13607863.2019.1699900] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Abstract
OBJECTIVE Depression has been associated with increased mortality rates, and modifying mechanisms have not yet been elucidated. We examined whether specific subtypes or characteristics of late-life depression predict mortality. METHODS A cohort study including 378 depressed older patients according to DSM-IV criteria and 132 never depressed comparisons. The predictive value of depression subtypes and characteristics on the six-year mortality rate, as well as their interaction with somatic disease burden and antidepressant drug use, were studied by Cox proportional hazard analysis adjusted for demographic and lifestyle characteristics. RESULTS Depressed persons had a higher mortality risk than non-depressed comparisons (HR = 2.95 [95% CI: 1.41-6.16], p = .004), which lost significance after adjustment for age, sex, education, smoking, alcohol, physical activity, number of prescribed medications and somatic comorbidity. Regarding depression subtypes and characteristics, only minor depression was associated with a higher mortality risk when adjusted for confounders (HR = 6.59 [95% CI: 1.79-24.2], p = .005). CONCLUSIONS Increased mortality rates of depressed older persons seem best explained by unhealthy lifestyle characteristics and multiple drug prescriptions. The high mortality rate in minor depression, independent of these factors, might point to another, yet unknown, pathway towards mortality for this depression subtype. An explanation might be that minor depression in later life reflects depressive symptoms due to underlying aging-related processes, such as inflammation-based sickness behavior, frailty, and mild cognitive impairment, which have all been associated with increased mortality.
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Affiliation(s)
- Karen S van den Berg
- Department of Psychiatry, University of Groningen, University Medical Centre Groningen, Groningen, the Netherlands.,Department of Psychiatry, St. Antonius Hospital, Utrecht, the Netherlands
| | - Carlijn Wiersema
- Department of Psychiatry, University of Groningen, University Medical Centre Groningen, Groningen, the Netherlands
| | - Johanna M Hegeman
- Department of Psychiatry, St. Antonius Hospital, Utrecht, the Netherlands
| | - Rob H S van den Brink
- Department of Psychiatry, University of Groningen, University Medical Centre Groningen, Groningen, the Netherlands
| | - Didi Rhebergen
- Department of Psychiatry, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.,Department of Research and Innovation, GGZ InGeest Specialized Mental Health Care, Amsterdam, the Netherlands
| | - Radboud M Marijnissen
- Department of Psychiatry, University of Groningen, University Medical Centre Groningen, Groningen, the Netherlands.,Department of Old Age Psychiatry, Pro Persona, Wolfheze, the Netherlands
| | - Richard C Oude Voshaar
- Department of Psychiatry, University of Groningen, University Medical Centre Groningen, Groningen, the Netherlands
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Kulesh AA, Emelin AY, Bogolepova AN, Doronina OB, Zakharov VV, Kolokolov OV, Kotov SV, Korsunskaya LL, Kutlubaev MA, Laskov VB, Levin OS, Parfenov VA. Clinical manifestations and issues of diagnosis of chronic cerebrovascular disease (chronic cerebral ischemia) at an early (pre-dementia) stage. ACTA ACUST UNITED AC 2021. [DOI: 10.14412/2074-2711-2021-1-4-12] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
The paper presents experts' opinion on the clinical manifestations and diagnosis of chronic cerebrovascular disease (CVD) (chronic cerebral ischemia (CCI) and dyscirculatory encephalopathy (DEP)) at the pre-dementia stage. It is noted that DEP/CCI is a common diagnosis in Russian neurological practice, the criteria for which have not been updated for a long time. DEP/CCI most often develops in the presence of cerebral small artery (CSA) disease (cerebral microangiopathy (CMA)), the severity of which can be quantified by magnetic resonance imaging. The main clinical manifestation of DEP/CCI is cognitive impairment that may be subjective or moderate at the pre-dementia stage. Emotional disorders (apathy, depression, anxiety) and instability are considered as possible manifestations of CSA disease. It is noted that headache and vestibular vertigo are not caused by chronic CVD; while in patients with CMA, they are usually associated with other diseases (primary headache, peripheral vestibular vertigo, and vestibular migraine). The diagnosis of DEP/CCI should be based on the presence of cognitive impairment, reliable neuroimaging signs of CVD, and the exclusion of another cause of cognitive impairment.
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Affiliation(s)
- A. A. Kulesh
- Academician E.A. Vagner Perm State Medical University, Ministry of Health of Russia
| | - A. Yu. Emelin
- S.M. Kirov Military Medical Academy, Ministry of Defense of Russia
| | - A. N. Bogolepova
- N.I. Pirogov Russian National Research Medical University, Ministry of Health of Russia
| | - O. B. Doronina
- Novosibirsk State Medical University, Ministry of Health of Russia
| | - V. V. Zakharov
- I.M. Sechenov First Moscow State Medical University (Sechenov University), Ministry of Health of Russia
| | - O. V. Kolokolov
- V.I. Razumovsky Saratov State Medical University, Ministry of Health of Russia
| | - S. V. Kotov
- M.F. Vladimirsky Moscow Regional Research Clinical Institute
| | - L. L. Korsunskaya
- S.I. Georgievsky Medical Academy, V.I. Vernadsky Crimean Federal University
| | - M. A. Kutlubaev
- Bashkir State Medical University, Ministry of Health of Russia
| | - V. B. Laskov
- Kursk State Medical University, Ministry of Health of Russia
| | - O. S. Levin
- Russian Medical Academy of Continuing Professional Education, Ministry of Health of Russia
| | - V. A. Parfenov
- I.M. Sechenov First Moscow State Medical University (Sechenov University), Ministry of Health of Russia
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Genome-wide analysis suggests the importance of vascular processes and neuroinflammation in late-life antidepressant response. Transl Psychiatry 2021; 11:127. [PMID: 33589590 PMCID: PMC7884410 DOI: 10.1038/s41398-021-01248-3] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/18/2020] [Revised: 12/15/2020] [Accepted: 01/07/2021] [Indexed: 01/31/2023] Open
Abstract
Antidepressant outcomes in older adults with depression is poor, possibly because of comorbidities such as cerebrovascular disease. Therefore, we leveraged multiple genome-wide approaches to understand the genetic architecture of antidepressant response. Our sample included 307 older adults (≥60 years) with current major depression, treated with venlafaxine extended-release for 12 weeks. A standard genome-wide association study (GWAS) was conducted for post-treatment remission status, followed by in silico biological characterization of associated genes, as well as polygenic risk scoring for depression, neurodegenerative and cerebrovascular disease. The top-associated variants for remission status and percentage symptom improvement were PIEZO1 rs12597726 (OR = 0.33 [0.21, 0.51], p = 1.42 × 10-6) and intergenic rs6916777 (Beta = 14.03 [8.47, 19.59], p = 1.25 × 10-6), respectively. Pathway analysis revealed significant contributions from genes involved in the ubiquitin-proteasome system, which regulates intracellular protein degradation with has implications for inflammation, as well as atherosclerotic cardiovascular disease (n = 25 of 190 genes, p = 8.03 × 10-6, FDR-corrected p = 0.01). Given the polygenicity of complex outcomes such as antidepressant response, we also explored 11 polygenic risk scores associated with risk for Alzheimer's disease and stroke. Of the 11 scores, risk for cardioembolic stroke was the second-best predictor of non-remission, after being male (Accuracy = 0.70 [0.59, 0.79], Sensitivity = 0.72, Specificity = 0.67; p = 2.45 × 10-4). Although our findings did not reach genome-wide significance, they point to previously-implicated mechanisms and provide support for the roles of vascular and inflammatory pathways in LLD. Overall, significant enrichment of genes involved in protein degradation pathways that may be impaired, as well as the predictive capacity of risk for cardioembolic stroke, support a link between late-life depression remission and risk for vascular dysfunction.
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Translational application of neuroimaging in major depressive disorder: a review of psychoradiological studies. Front Med 2021; 15:528-540. [PMID: 33511554 DOI: 10.1007/s11684-020-0798-1] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2019] [Accepted: 04/25/2020] [Indexed: 02/05/2023]
Abstract
Major depressive disorder (MDD) causes great decrements in health and quality of life with increments in healthcare costs, but the causes and pathogenesis of depression remain largely unknown, which greatly prevent its early detection and effective treatment. With the advancement of neuroimaging approaches, numerous functional and structural alterations in the brain have been detected in MDD and more recently attempts have been made to apply these findings to clinical practice. In this review, we provide an updated summary of the progress in translational application of psychoradiological findings in MDD with a specified focus on potential clinical usage. The foreseeable clinical applications for different MRI modalities were introduced according to their role in disorder classification, subtyping, and prediction. While evidence of cerebral structural and functional changes associated with MDD classification and subtyping was heterogeneous and/or sparse, the ACC and hippocampus have been consistently suggested to be important biomarkers in predicting treatment selection and treatment response. These findings underlined the potential utility of brain biomarkers for clinical practice.
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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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28
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Zanardi R, Poletti S, Prestifilippo D, Attanasio F, Barbini B, Colombo C. Transcranial direct current stimulation: A novel approach in the treatment of vascular depression. Brain Stimul 2020; 13:1559-1565. [PMID: 32896644 DOI: 10.1016/j.brs.2020.08.013] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2019] [Revised: 08/21/2020] [Accepted: 08/24/2020] [Indexed: 12/28/2022] Open
Abstract
BACKGROUND Despite the impact of depression in terms of personal suffering and socioeconomic burden, most currently available treatment options are often ineffective. A particularly difficult-to-treat depressive disorder characteristic of the elderly is vascular depression, a late-life depressive syndrome related to a variety of potential vascular mechanisms. Transcranial Direct Current Stimulation (tDCS), a non-invasive and effective somatic approach to depression, also showed positive effects on cognitive deficits. AIM We performed a double-blind randomized study to investigate the efficacy of tDCS as augmentation strategy to sertraline in the treatment of vascular depression, hypothesizing a positive effect in both depressive symptoms and cognitive functions. METHODS We enrolled 93 inpatients over 60 years of age with a diagnosis of vascular depression. Depressive symptoms were weekly assessed (T0, T1, T2) with the 21-items Hamilton depression rating scale (HDRS). Cognitive functioning was evaluated with the Milan Overall Dementia Assessment (MODA) at baseline and after the treatment protocol. All patients were randomly assigned into three groups, Group I: one tDCS stimulation per day, Group II: two tDCS stimulations per day, Sham group: one sham tDCS stimulation per day. Stimulation was performed for 10 consecutive working days. RESULTS A significant interaction time∗treatment was observed on HDRS scores (F = 14, p < 0.001). All groups improved at T1 but whereas Group II significantly differed from the Sham group (p < 0.001) we observed no difference between Sham and Group I. At T2 all groups improved but Group II showed the greater improvement (vs. Sham p < 0.001; vs. Group I p < 0.001) and the Sham group the smallest (vs. Group I p = 0.005). A significant interaction time∗treatment was also observed on MODA scores (F = 3.31, p = 0.04). Only subjects treated with tDCS improved at T2 (Group I: p < 0.001; Group II: p = 0.007). However, no difference between Group I and II was shown. CONCLUSION tDCS as augmentation treatment of an adequate pharmacotherapy is a potential strategy in the management of vascular depression, a disease known to be often unresponsive to antidepressants only. Non-invasiveness, the absence of severe side effects and the possibility of administering it to outpatients at an affordable price make tDCS an important tool in clinical practice.
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Affiliation(s)
- Raffaella Zanardi
- IRCCS San Raffaele Scientific Institute, Department of Clinical Neurosciences, Mood Disorder Unit, Milan, Italy; University Vita-Salute San Raffaele, Department of Clinical Neurosciences, Milan, Italy.
| | - Sara Poletti
- University Vita-Salute San Raffaele, Department of Clinical Neurosciences, Milan, Italy
| | - Dario Prestifilippo
- University Vita-Salute San Raffaele, Department of Clinical Neurosciences, Milan, Italy
| | - Francesco Attanasio
- University Vita-Salute San Raffaele, Department of Clinical Neurosciences, Milan, Italy
| | - Barbara Barbini
- IRCCS San Raffaele Scientific Institute, Department of Clinical Neurosciences, Mood Disorder Unit, Milan, Italy; University Vita-Salute San Raffaele, Department of Clinical Neurosciences, Milan, Italy
| | - Cristina Colombo
- IRCCS San Raffaele Scientific Institute, Department of Clinical Neurosciences, Mood Disorder Unit, Milan, Italy; University Vita-Salute San Raffaele, Department of Clinical Neurosciences, Milan, Italy
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Wang J, Li R, Liu M, Nie Z, Jin L, Lu Z, Li Y. Impaired cerebral hemodynamics in late-onset depression: computed tomography angiography, computed tomography perfusion, and magnetic resonance imaging evaluation. Quant Imaging Med Surg 2020; 10:1763-1774. [PMID: 32879855 DOI: 10.21037/qims-19-402] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
Abstract
Background Late-onset depression (LOD) is often difficult to recognize when there is an absence of a family history of depression and less severe psychopathology. Increasing evidence has shown that the development and course of LOD symptomatology are associated with cerebrovascular comorbidities and cerebral microvascular lesions. This study was designed to evaluate the associations of LOD with macrovascular and microvascular changes in the brain by using a multi-imaging method, including computed tomography angiography (CTA), CT perfusion (CTP), and magnetic resonance imaging (MRI), to explore the course and pathomechanism of LOD. Methods A total of 116 participants were divided into two groups. Participants older than 60 years who met the diagnostic criteria of depression [International Classification of Diseases (ICD), 10th Edition] were enrolled in the LOD group, and the remainder were age- and sex-matched into the control group. The cognitive/mood status of all participants was evaluated by an experienced neuropsychologist. Global and regional mean cerebral blood flow (CBF) were measured by CT cerebrovascular perfusion imaging; the stenosis of the bilateral intracranial large arteries (internal carotid artery, anterior cerebral artery, middle cerebral artery, posterior cerebral artery, and vertebral artery) was recorded by CTA; regional white matter hyperintensity (WMH) loads were evaluated by fluid-attenuated inversion recovery (FLAIR) MRI; and the Hamilton Depression Scale (HAMD) was used to evaluate depression status. Results Our key findings were the following: (I) participants in the LOD group were more prone to intracranial arterial stenosis (81.1% vs. 74.6%), had more severe stenotic arteries compared with controls (Z=2.024, P<0.05), and significantly more participants with LOD had severe stenosis of the middle cerebral artery (MCA) (9.4% vs. 0%, P<0.05); (II) there was a significant difference in hypoperfusion of the frontal and parietal lobes superposed on global cerebral hypoperfusion between the two groups (P<0.001); (III) and there was a significant difference in high WMH loads in deep white matter (DWM) between the two groups (P<0.05). Conclusions A low global or regional perfusion state, moderate-to-severe stenosis of MCAs, and high WMH loads could be used as imaging biomarkers to indicate diffuse or localized cerebral macrovascular and microvascular pathology in LOD.
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Affiliation(s)
- Jinhong Wang
- Department of Medical Imaging, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Renren Li
- Department of Neurology, Tongji Hospital, Tongji University School of Medicine, Tongji University, Shanghai, China
| | - Meng Liu
- Department of Neurology, Tongji Hospital, Tongji University School of Medicine, Tongji University, Shanghai, China
| | - Zhiyu Nie
- Department of Neurology, Tongji Hospital, Tongji University School of Medicine, Tongji University, Shanghai, China
| | - Lingjing Jin
- Department of Neurology, Tongji Hospital, Tongji University School of Medicine, Tongji University, Shanghai, China
| | - Zheng Lu
- Department of Psychiatry, Tongji Hospital, Tongji University School of Medicine, Tongji University, Shanghai, China
| | - Yunxia Li
- Department of Neurology, Tongji Hospital, Tongji University School of Medicine, Tongji University, Shanghai, China
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30
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Rushia SN, Shehab AAS, Motter JN, Egglefield DA, Schiff S, Sneed JR, Garcon E. Vascular depression for radiology: A review of the construct, methodology, and diagnosis. World J Radiol 2020; 12:48-67. [PMID: 32549954 PMCID: PMC7288775 DOI: 10.4329/wjr.v12.i5.48] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/26/2020] [Revised: 05/05/2020] [Accepted: 05/12/2020] [Indexed: 02/06/2023] Open
Abstract
Vascular depression (VD) as defined by magnetic resonance imaging (MRI) has been proposed as a unique subtype of late-life depression. The VD hypothesis posits that cerebrovascular disease, as characterized by the presence of MRI-defined white matter hyperintensities, contributes to and increases the risk for depression in older adults. VD is also accompanied by cognitive impairment and poor antidepressant treatment response. The VD diagnosis relies on MRI findings and yet this clinical entity is largely unfamiliar to neuroradiologists and is rarely, if ever, discussed in radiology journals. The primary purpose of this review is to introduce the MRI-defined VD construct to the neuroradiology community. Case reports are highlighted in order to illustrate the profile of VD in terms of radiological, clinical, and neuropsychological findings. A secondary purpose is to elucidate and elaborate on the measurement of cerebrovascular disease through visual rating scales and semi- and fully-automated volumetric methods. These methods are crucial for determining whether lesion burden or lesion severity is the dominant pathological contributor to VD. Additionally, these rating methods have implications for the growing field of computer assisted diagnosis. Since VD has been found to have a profile that is distinct from other types of late-life depression, neuroradiologists, in conjunction with psychiatrists and psychologists, should consider VD in diagnosis and treatment planning.
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Affiliation(s)
- Sara N Rushia
- Department of Psychology, The Graduate Center, City University of New York, New York, NY 10016, United States
- Department of Psychology, Queens College, City University of New York, Queens, NY 11367, United States
| | - Al Amira Safa Shehab
- Department of Psychology, The Graduate Center, City University of New York, New York, NY 10016, United States
- Department of Psychology, Queens College, City University of New York, Queens, NY 11367, United States
| | - Jeffrey N Motter
- Division of Geriatric Psychiatry, New York State Psychiatric Institute, New York, NY 10032, United States
- Department of Psychiatry, Columbia University Medical Center, New York, NY 10032, United States
| | - Dakota A Egglefield
- Department of Psychology, The Graduate Center, City University of New York, New York, NY 10016, United States
- Department of Psychology, Queens College, City University of New York, Queens, NY 11367, United States
| | - Sophie Schiff
- Department of Psychology, The Graduate Center, City University of New York, New York, NY 10016, United States
- Department of Psychology, Queens College, City University of New York, Queens, NY 11367, United States
| | - Joel R Sneed
- Department of Psychology, The Graduate Center, City University of New York, New York, NY 10016, United States
- Department of Psychology, Queens College, City University of New York, Queens, NY 11367, United States
- Division of Geriatric Psychiatry, New York State Psychiatric Institute, New York, NY 10032, United States
- Department of Psychiatry, Columbia University Medical Center, New York, NY 10032, United States
| | - Ernst Garcon
- Department of Radiology, Columbia University Medical Center, New York, NY 10032, United States
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The Association Between Vascular Inflammation and Depressive Disorder. Causality, Biomarkers and Targeted Treatment. Pharmaceuticals (Basel) 2020; 13:ph13050092. [PMID: 32408603 PMCID: PMC7281196 DOI: 10.3390/ph13050092] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2020] [Revised: 05/09/2020] [Accepted: 05/10/2020] [Indexed: 12/18/2022] Open
Abstract
Diabetes, obesity, atherosclerosis, and myocardial infarction are frequently co-morbid with major depressive disorder. In the current review, it is argued that vascular inflammation is a factor that is common to all disorders and that an endothelial dysfunction of the blood-brain barrier could be involved in the induction of depression symptoms. Biomarkers for vascular inflammation include a high plasma level of C-reactive protein, soluble cell-adhesion molecules, von Willebrand factor, aldosterone, and proinflammatory cytokines like interleukin-6 or tumor necrosis factor α. A further possible biomarker is flow-mediated dilation of the brachial artery. Treatment of vascular inflammation is expected to prevent or to reduce symptoms of depression. Several tentative treatments for this form of depression can be envisioned: eicosapentaenoic acid (EPA), valproate, Vagus-nerve stimulation, nicotinic α7 agonists, and agonists of the cannabinoid CB2-receptor.
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Oxidative Stress-Related Endothelial Damage in Vascular Depression and Vascular Cognitive Impairment: Beneficial Effects of Aerobic Physical Exercise. OXIDATIVE MEDICINE AND CELLULAR LONGEVITY 2019; 2019:8067045. [PMID: 31929857 PMCID: PMC6939429 DOI: 10.1155/2019/8067045] [Citation(s) in RCA: 31] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 10/26/2019] [Accepted: 12/11/2019] [Indexed: 01/08/2023]
Abstract
Oxidative stress- (OS-) related endothelial damage is involved in the occurrence and progression of several disorders, such as vascular depression and dementia. It has been reported that moderate, aerobic, physical exercise could reduce OS and inflammation, thus limiting the cardiovascular risk factors while improving endothelial homeostasis, mood, and cognition. In this review, we will discuss about the role of OS and OS-related endothelial damage in vascular depression and vascular cognitive impairment. Then, we will comment on the effects of physical exercise on both disorders.
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Leoutsakos JMS, Wise EA, Lyketsos CG, Smith GS. Trajectories of neuropsychiatric symptoms over time in healthy volunteers and risk of MCI and dementia. Int J Geriatr Psychiatry 2019; 34:1865-1873. [PMID: 31452260 PMCID: PMC6854285 DOI: 10.1002/gps.5203] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/29/2019] [Accepted: 08/06/2019] [Indexed: 11/07/2022]
Abstract
OBJECTIVES To identify subtypes of neuropsychiatric symptom (NPS) course among cognitively normal individuals and to assess the association between these subtypes and hazard of later mild cognitive impairment (MCI) or dementia diagnosis. METHODS We modeled neuropsychiatric inventory questionnaire (NPI-Q) scores from 4184 volunteers over approximately 4 years using growth mixture models, generating latent classes of trajectory. We then fit Cox proportional hazard models to determine if membership in trajectory classes was associated with increased hazard of diagnosis of MCI or dementia. RESULTS We identified four trajectory classes: the majority of the sample (65%) would be expected to belong to a class with consistently low or zero NPS. The next most prevalent class, (16%) showed a decrease over time in NPI-Q total score but, compared with the majority class had an almost threefold increase in hazard of MCI or dementia (HR: 2.92; 95% CI: 1.82-4.68). Another class (14%) showed an increase in NPS over time and was also associated with greater hazard of MCI or dementia (HR: 3.96; CI: 2.61-6.03). The smallest class (5%) had high and fluctuating NPI-Q total scores and had the greatest hazard (HR: 4.57; CI: 2.72-7.63). CONCLUSION We have demonstrated that it is possible to identify meaningful groups of NPS trajectories and that trajectory of NPS can convey information beyond a single cross-sectional measure. While even those whose NPS improved were at increased hazard of MCI or dementia, hazard increased as a function of the severity of the NPS trajectory.
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Affiliation(s)
- Jeannie-Marie S Leoutsakos
- Division of Geriatric Psychiatry and Neuropsychiatry, Department of Psychiatry and Behavioral Sciences, Johns Hopkins School of Medicine, Johns Hopkins Bayview Medical Center, Baltimore, MD
| | - Elizabeth A Wise
- Division of Geriatric Psychiatry and Neuropsychiatry, Department of Psychiatry and Behavioral Sciences, Johns Hopkins School of Medicine, Johns Hopkins Bayview Medical Center, Baltimore, MD
| | - Constantine G Lyketsos
- Division of Geriatric Psychiatry and Neuropsychiatry, Department of Psychiatry and Behavioral Sciences, Johns Hopkins School of Medicine, Johns Hopkins Bayview Medical Center, Baltimore, MD
| | - Gwenn S Smith
- Division of Geriatric Psychiatry and Neuropsychiatry, Department of Psychiatry and Behavioral Sciences, Johns Hopkins School of Medicine, Johns Hopkins Bayview Medical Center, Baltimore, MD
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