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Sun Y, Hu W, Hu Y, Qiu Y, Chen Y, Xu Q, Wei H, Dai Y, Zhou Y. Exploring cognitive related microstructural alterations in normal appearing white matter and deep grey matter for small vessel disease: A quantitative susceptibility mapping study. Neuroimage 2024; 298:120790. [PMID: 39147292 DOI: 10.1016/j.neuroimage.2024.120790] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2023] [Revised: 07/31/2024] [Accepted: 08/12/2024] [Indexed: 08/17/2024] Open
Abstract
Brain microstructural alterations possibly occur in the normal-appearing white matter (NAWM) and grey matter of small vessel disease (SVD) patients, and may contribute to cognitive impairment. The aim of this study was to explore cognitive related microstructural alterations in white matter and deep grey matter nuclei in SVD patients using magnetic resonance (MR) quantitative susceptibility mapping (QSM). 170 SVD patients, including 103 vascular mild cognitive impairment (VaMCI) and 67 no cognitive impairment (NCI), and 21 healthy control (HC) subjects were included, all underwent a whole-brain QSM scanning. Using a white matter and a deep grey matter atlas, subregion-based QSM analysis was conducted to identify and characterize microstructural alterations occurring within white matter and subcortical nuclei. Significantly different susceptibility values were revealed in NAWM and in several specific white matter tracts including anterior limb of internal capsule, corticospinal tract, medial lemniscus, middle frontal blade, superior corona radiata and tapetum among VaMCI, NCI and HC groups. However, no difference was found in white matter hyperintensities between VaMCI and NCI. A trend toward higher susceptibility in the caudate nucleus and globus pallidus of VaMCI patients compared to HC, indicating elevated iron deposition in these areas. Interestingly, some of these QSM parameters were closely correlated with both global and specific cognitive function scores, controlling age, gender and education level. Our study suggested that QSM may serve as a useful imaging tool for monitoring cognitive related microstructural alterations in brain. This is especially meaningful for white matter which previously lacks of attention.
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Affiliation(s)
- Yawen Sun
- Department of Radiology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Wentao Hu
- Department of Radiology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Ying Hu
- Department of Radiology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Yage Qiu
- Department of Radiology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Yuewei Chen
- Department of Neurology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China; Renji-UNSW CHeBA Neurocognitive Center, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Qun Xu
- Department of Neurology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China; Renji-UNSW CHeBA Neurocognitive Center, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China; Department of Health Manage Center, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Hongjiang Wei
- School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China
| | - Yongming Dai
- School of Biomedical Engineering & State Key Laboratory of Advanced Medical Materials and Devices, ShanghaiTech University, Shanghai, China.
| | - Yan Zhou
- Department of Radiology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
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Bookheimer TH, Ganapathi AS, Iqbal F, Popa ES, Mattinson J, Bramen JE, Bookheimer SY, Porter VR, Kim M, Glatt RM, Bookheimer AW, Merrill DA, Panos SE, Siddarth P. Beyond the hippocampus: Amygdala and memory functioning in older adults. Behav Brain Res 2024; 471:115112. [PMID: 38871129 DOI: 10.1016/j.bbr.2024.115112] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2023] [Revised: 06/10/2024] [Accepted: 06/11/2024] [Indexed: 06/15/2024]
Abstract
BACKGROUND Medial temporal lobe atrophy has been linked to decline in neuropsychological measures of explicit memory function. While the hippocampus has long been identified as a critical structure in learning and memory processes, less is known about contributions of the amygdala to these functions. We sought to investigate the relationship between amygdala volume and memory functioning in a clinical sample of older adults with and without cognitive impairment. METHODS A serial clinical sample of older adults that underwent neuropsychological assessment at an outpatient neurology clinic was selected for retrospective chart review. Patients were included in the study if they completed a comprehensive neuropsychological assessment within six months of a structural magnetic resonance imaging scan. Regional brain volumes were quantified using Neuroreader® software. Associations between bilateral hippocampal and amygdala volumes and memory scores, derived from immediate and delayed recall conditions of a verbal story learning task and a visual design reconstruction task, were examined using mixed-effects general linear models, controlling for total intracranial volume, scanner model, age, sex and education. Partial correlation coefficients, adjusted for these covariates, were calculated to estimate the strength of the association between volumes and memory scores. RESULTS A total of 68 (39 F, 29 M) participants were included in the analyses, with a mean (SD) adjusted age of 80.1 (6.0) and educational level of 15.9 (2.5) years. Controlling for age, sex, education, and total intracranial volume, greater amygdala volumes were associated with better verbal and visual memory performance, with effect sizes comparable to hippocampal volume. No significant lateralized effects were observed. Partial correlation coefficients ranged from 0.47 to 0.33 (p<.001). CONCLUSION These findings contribute to a growing body of knowledge identifying the amygdala as a target for further research in memory functioning. This highlights the importance of considering the broader functioning of the limbic system in which multiple subcortical structures contribute to memory processes and decline in older adults.
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Affiliation(s)
- Tess H Bookheimer
- Pacific Neuroscience Institute Foundation, Pacific Brain Health Center, 1301 20th St, Suite 250, Santa Monica, CA, USA.
| | - Aarthi S Ganapathi
- Pacific Neuroscience Institute Foundation, Pacific Brain Health Center, 1301 20th St, Suite 250, Santa Monica, CA, USA
| | - Fatima Iqbal
- Pacific Neuroscience Institute Foundation, Pacific Brain Health Center, 1301 20th St, Suite 250, Santa Monica, CA, USA
| | - Emily S Popa
- Pacific Neuroscience Institute Foundation, Pacific Brain Health Center, 1301 20th St, Suite 250, Santa Monica, CA, USA
| | - Jenna Mattinson
- Pacific Neuroscience Institute Foundation, Pacific Brain Health Center, 1301 20th St, Suite 250, Santa Monica, CA, USA
| | - Jennifer E Bramen
- Pacific Neuroscience Institute Foundation, Pacific Brain Health Center, 1301 20th St, Suite 250, Santa Monica, CA, USA; Providence Saint John's Cancer Institute, 2200 Santa Monica Blvd, Santa Monica, CA, USA
| | - Susan Y Bookheimer
- Pacific Neuroscience Institute Foundation, Pacific Brain Health Center, 1301 20th St, Suite 250, Santa Monica, CA, USA; Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine at the University of California, 855 Tiverton Dr, Los Angeles, CA, USA
| | - Verna R Porter
- Pacific Neuroscience Institute Foundation, Pacific Brain Health Center, 1301 20th St, Suite 250, Santa Monica, CA, USA; Providence Saint John's Health Center, 2121 Santa Monica Blvd, Santa Monica, CA, USA
| | - Mihae Kim
- Pacific Neuroscience Institute Foundation, Pacific Brain Health Center, 1301 20th St, Suite 250, Santa Monica, CA, USA; Providence Saint John's Health Center, 2121 Santa Monica Blvd, Santa Monica, CA, USA
| | - Ryan M Glatt
- Pacific Neuroscience Institute Foundation, Pacific Brain Health Center, 1301 20th St, Suite 250, Santa Monica, CA, USA; Providence Saint John's Health Center, 2121 Santa Monica Blvd, Santa Monica, CA, USA
| | | | - David A Merrill
- Pacific Neuroscience Institute Foundation, Pacific Brain Health Center, 1301 20th St, Suite 250, Santa Monica, CA, USA; Providence Saint John's Health Center, 2121 Santa Monica Blvd, Santa Monica, CA, USA; Providence Saint John's Cancer Institute, 2200 Santa Monica Blvd, Santa Monica, CA, USA; Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine at the University of California, 855 Tiverton Dr, Los Angeles, CA, USA
| | - Stella E Panos
- Pacific Neuroscience Institute Foundation, Pacific Brain Health Center, 1301 20th St, Suite 250, Santa Monica, CA, USA; Providence Saint John's Health Center, 2121 Santa Monica Blvd, Santa Monica, CA, USA
| | - Prabha Siddarth
- Pacific Neuroscience Institute Foundation, Pacific Brain Health Center, 1301 20th St, Suite 250, Santa Monica, CA, USA; Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine at the University of California, 855 Tiverton Dr, Los Angeles, CA, USA
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Ding X, Yin L, Zhang L, Zhang Y, Zha T, Zhang W, Gui B. Diabetes accelerates Alzheimer's disease progression in the first year post mild cognitive impairment diagnosis. Alzheimers Dement 2024; 20:4583-4593. [PMID: 38865281 PMCID: PMC11247667 DOI: 10.1002/alz.13882] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2023] [Revised: 02/28/2024] [Accepted: 03/18/2024] [Indexed: 06/14/2024]
Abstract
BACKGROUND Mild cognitive impairment (MCI) heightens Alzheimer's disease (AD) risk, with diabetes mellitus (DM) potentially exacerbating this vulnerability. This study identifies the optimal intervention period and neurobiological targets in MCI to AD progression using the Alzheimer's Disease Neuroimaging Initiative dataset. METHODS Analysis of 980 MCI patients, categorized by DM status, used propensity score matching and inverse probability treatment weighting to assess rate of conversion from MCI to AD, neuroimaging, and cognitive changes. RESULTS DM significantly correlates with cognitive decline and an increased risk of progressing to AD, especially within the first year of MCI follow-up. It adversely affects specific brain structures, notably accelerating nucleus accumbens atrophy, decreasing gray matter volume and sulcal depth. DISCUSSION Findings suggest the first year after MCI diagnosis as the critical window for intervention. DM accelerates MCI-to-AD progression, targeting specific brain areas, underscoring the need for early therapeutic intervention. HIGHLIGHTS Diabetes mellitus (DM) accelerates mild cognitive impairment (MCI)-to-Alzheimer's disease (AD) progression within the first year after MCI diagnosis. DM leads to sharper cognitive decline within 12 months of follow-up. There is notable nucleus accumbens atrophy observed in MCI patients with DM. DM causes significant reductions in gray matter volume and sulcal depth. There are stronger correlations between cognitive decline and brain changes due to DM.
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Affiliation(s)
- Xiahao Ding
- Department of AnesthesiologyNanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing UniversityNanjingChina
- Department of Anesthesiology and Perioperative MedicineThe First Affiliated Hospital of Nanjing Medical UniversityNanjingChina
| | - Li Yin
- Department of Anesthesiology and Perioperative MedicineThe First Affiliated Hospital of Nanjing Medical UniversityNanjingChina
| | - Lin Zhang
- Department of Anesthesiology and Perioperative MedicineThe First Affiliated Hospital of Nanjing Medical UniversityNanjingChina
| | - Yang Zhang
- Department of Anesthesiology and Perioperative MedicineThe First Affiliated Hospital of Nanjing Medical UniversityNanjingChina
| | - Tianming Zha
- Department of Anesthesiology and Perioperative MedicineThe First Affiliated Hospital of Nanjing Medical UniversityNanjingChina
| | - Wen Zhang
- Department of RadiologyNanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing UniversityNanjingChina
- Medical Imaging Centerthe Affiliated Drum Tower Hospital, Medical School of Nanjing UniversityNanjingChina
- Institute of Medical Imaging and Artificial IntelligenceNanjing UniversityNanjingChina
| | - Bo Gui
- Department of Anesthesiology and Perioperative MedicineThe First Affiliated Hospital of Nanjing Medical UniversityNanjingChina
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Lin CP, Frigerio I, Bol JGJM, Bouwman MMA, Wesseling AJ, Dahl MJ, Rozemuller AJM, van der Werf YD, Pouwels PJW, van de Berg WDJ, Jonkman LE. Microstructural integrity of the locus coeruleus and its tracts reflect noradrenergic degeneration in Alzheimer's disease and Parkinson's disease. Transl Neurodegener 2024; 13:9. [PMID: 38336865 PMCID: PMC10854137 DOI: 10.1186/s40035-024-00400-5] [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] [Received: 09/15/2023] [Accepted: 01/25/2024] [Indexed: 02/12/2024] Open
Abstract
BACKGROUND Degeneration of the locus coeruleus (LC) noradrenergic system contributes to clinical symptoms in Alzheimer's disease (AD) and Parkinson's disease (PD). Diffusion magnetic resonance imaging (MRI) has the potential to evaluate the integrity of the LC noradrenergic system. The aim of the current study was to determine whether the diffusion MRI-measured integrity of the LC and its tracts are sensitive to noradrenergic degeneration in AD and PD. METHODS Post-mortem in situ T1-weighted and multi-shell diffusion MRI was performed for 9 AD, 14 PD, and 8 control brain donors. Fractional anisotropy (FA) and mean diffusivity were derived from the LC, and from tracts between the LC and the anterior cingulate cortex, the dorsolateral prefrontal cortex (DLPFC), the primary motor cortex (M1) or the hippocampus. Brain tissue sections of the LC and cortical regions were obtained and immunostained for dopamine-beta hydroxylase (DBH) to quantify noradrenergic cell density and fiber load. Group comparisons and correlations between outcome measures were performed using linear regression and partial correlations. RESULTS The AD and PD cases showed loss of LC noradrenergic cells and fibers. In the cortex, the AD cases showed increased DBH + immunoreactivity in the DLPFC compared to PD cases and controls, while PD cases showed reduced DBH + immunoreactivity in the M1 compared to controls. Higher FA within the LC was found for AD, which was correlated with loss of noradrenergic cells and fibers in the LC. Increased FA of the LC-DLPFC tract was correlated with LC noradrenergic fiber loss in the combined AD and control group, whereas the increased FA of the LC-M1 tract was correlated with LC noradrenergic neuronal loss in the combined PD and control group. The tract alterations were not correlated with cortical DBH + immunoreactivity. CONCLUSIONS In AD and PD, the diffusion MRI-detected alterations within the LC and its tracts to the DLPFC and the M1 were associated with local noradrenergic neuronal loss within the LC, rather than noradrenergic changes in the cortex.
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Affiliation(s)
- Chen-Pei Lin
- Amsterdam UMC, Department of Anatomy and Neurosciences, Location Vrije Universiteit Amsterdam, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands.
- Amsterdam Neuroscience, Brain imaging, Amsterdam, The Netherlands.
| | - Irene Frigerio
- Amsterdam UMC, Department of Anatomy and Neurosciences, Location Vrije Universiteit Amsterdam, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Brain imaging, Amsterdam, The Netherlands
| | - John G J M Bol
- Amsterdam UMC, Department of Anatomy and Neurosciences, Location Vrije Universiteit Amsterdam, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands
| | - Maud M A Bouwman
- Amsterdam UMC, Department of Anatomy and Neurosciences, Location Vrije Universiteit Amsterdam, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Brain imaging, Amsterdam, The Netherlands
| | - Alex J Wesseling
- Amsterdam UMC, Department of Anatomy and Neurosciences, Location Vrije Universiteit Amsterdam, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Brain imaging, Amsterdam, The Netherlands
| | - Martin J Dahl
- Center for Lifespan Psychology, Max Planck Institute for Human Development, 14195, Berlin, Germany
- Leonard Davis School of Gerontology, University of Southern California, Los Angeles, CA, 90089, USA
| | - Annemieke J M Rozemuller
- Amsterdam UMC, Department of Pathology, Location Vrije Universiteit Amsterdam, De Boelelaan 1117, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands
| | - Ysbrand D van der Werf
- Amsterdam UMC, Department of Anatomy and Neurosciences, Location Vrije Universiteit Amsterdam, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Brain imaging, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Compulsivity, Impulsivity and Attention Program, Amsterdam, The Netherlands
| | - Petra J W Pouwels
- Amsterdam Neuroscience, Brain imaging, Amsterdam, The Netherlands
- Amsterdam UMC, Department of Radiology and Nuclear Medicine, Location Vrije Universiteit Amsterdam, De Boelelaan 1117, Amsterdam, The Netherlands
| | - Wilma D J van de Berg
- Amsterdam UMC, Department of Anatomy and Neurosciences, Location Vrije Universiteit Amsterdam, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands
| | - Laura E Jonkman
- Amsterdam UMC, Department of Anatomy and Neurosciences, Location Vrije Universiteit Amsterdam, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Brain imaging, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands
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Fislage M, Zacharias N, Feinkohl I. The Thalamus in Perioperative Neurocognitive Disorders. Neuropsychol Rev 2023:10.1007/s11065-023-09615-1. [PMID: 37736862 DOI: 10.1007/s11065-023-09615-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2023] [Accepted: 08/21/2023] [Indexed: 09/23/2023]
Abstract
Thalamus function and structure are known predictors of individual differences in the risk of age-related neurocognitive disorders (NCD), such as dementia. However, to date, little is known about their role in the perioperative setting. Here, we provide a narrative review of brain-imaging studies of preoperative and postoperative thalamus scanning parameters associated with risks of developing perioperative NCD, such as postoperative delirium (POD) and postoperative cognitive dysfunction (POCD) during the postoperative phase. These findings are discussed in light of the concept of reserve capacity.
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Affiliation(s)
- Marinus Fislage
- Department of Anesthesiology and Operative Intensive Care Medicine (CCM, CVK), Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Charitéplatz 1, Berlin, 10117, Germany.
- Department of Neurology, National Taiwan University Hospital, Taipei City, 100225, Taiwan.
| | - Norman Zacharias
- Department of Anesthesiology and Operative Intensive Care Medicine (CCM, CVK), Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Charitéplatz 1, Berlin, 10117, Germany
| | - Insa Feinkohl
- Faculty of Health/School of Medicine, Witten/Herdecke University, Witten, Germany
- Max-Delbrueck-Center for Molecular Medicine in the Helmholtz Association (MDC), Molecular Epidemiology Research Group, Berlin, Germany
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van der Velpen IF, Vlasov V, Evans TE, Ikram MK, Gutman BA, Roshchupkin GV, Adams HH, Vernooij MW, Ikram MA. Subcortical brain structures and the risk of dementia in the Rotterdam Study. Alzheimers Dement 2023; 19:646-657. [PMID: 35633518 DOI: 10.1002/alz.12690] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2021] [Revised: 04/05/2022] [Accepted: 04/10/2022] [Indexed: 11/07/2022]
Abstract
INTRODUCTION Volumetric and morphological changes in subcortical brain structures are present in persons with dementia, but it is unknown if these changes occur prior to diagnosis. METHODS Between 2005 and 2016, 5522 Rotterdam Study participants (mean age: 64.4) underwent cerebral magnetic resonance imaging (MRI) and were followed for development of dementia until 2018. Volume and shape measures were obtained for seven subcortical structures. RESULTS During 12 years of follow-up, 272 dementia cases occurred. Mean volumes of thalamus (hazard ratio [HR] per standard deviation [SD] decrease 1.94, 95% confidence interval [CI]: 1.55-2.43), amygdala (HR 1.66, 95% CI: 1.44-1.92), and hippocampus (HR 1.64, 95% CI: 1.43-1.88) were strongly associated with dementia risk. Associations for accumbens, pallidum, and caudate volumes were less pronounced. Shape analyses identified regional surface changes in the amygdala, limbic thalamus, and caudate. DISCUSSION Structure of the amygdala, thalamus, hippocampus, and caudate is associated with risk of dementia in a large population-based cohort of older adults.
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Affiliation(s)
- Isabelle F van der Velpen
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, the Netherlands
- Department of Radiology and Nuclear Medicine, Erasmus MC University Medical Center, Rotterdam, the Netherlands
| | - Vanja Vlasov
- Interventional Neuroscience Group, Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Belvaux, Luxembourg
| | - Tavia E Evans
- Department of Radiology and Nuclear Medicine, Erasmus MC University Medical Center, Rotterdam, the Netherlands
- Department of Clinical Genetics, Erasmus MC University Medical Center, Rotterdam, the Netherlands
| | - Mohammad Kamran Ikram
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, the Netherlands
- Department of Neurology, Erasmus MC University Medical Center, Rotterdam, the Netherlands
| | - Boris A Gutman
- Department of Biomedical Engineering, Illinois Institute of Technology, Chicago, Illinois, USA
| | - Gennady V Roshchupkin
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, the Netherlands
- Department of Radiology and Nuclear Medicine, Erasmus MC University Medical Center, Rotterdam, the Netherlands
| | - Hieab H Adams
- Department of Radiology and Nuclear Medicine, Erasmus MC University Medical Center, Rotterdam, the Netherlands
- Department of Clinical Genetics, Erasmus MC University Medical Center, Rotterdam, the Netherlands
- Latin American Brain Health (BrainLat), Universidad Adolfo Ibáñez, Santiago, Chile
| | - Meike W Vernooij
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, the Netherlands
- Department of Radiology and Nuclear Medicine, Erasmus MC University Medical Center, Rotterdam, the Netherlands
| | - Mohammad Arfan Ikram
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, the Netherlands
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Nair P, Prasad K, Balasundaram P, Vibha D, Nand Dwivedi S, Gaikwad SB, Srivastava AK, Verma V. Multimodal imaging of the aging brain: Baseline findings of the LoCARPoN study. AGING BRAIN 2023; 3:100075. [PMID: 37180873 PMCID: PMC10173278 DOI: 10.1016/j.nbas.2023.100075] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2023] [Revised: 04/07/2023] [Accepted: 04/11/2023] [Indexed: 05/16/2023] Open
Abstract
We quantified and investigated multimodal brain MRI measures in the LoCARPoN Study due to lack of normative data among Indians. A total of 401 participants (aged 50-88 years) without stroke or dementia completed MRI investigation. We assessed 31 brain measures in total using four brain MRI modalities, including macrostructural (global & lobar volumes, white matter hyperintensities [WMHs]), microstructural (global and tract-specific white matter fractional anisotropy [WM-FA] and mean diffusivity [MD]) and perfusion measures (global and lobar cerebral blood flow [CBF]). The absolute brain volumes of males were significantly larger than those of females, but such differences were relatively small (<1.2% of intracranial volume). With increasing age, lower macrostructural brain volumes, lower WM-FA, greater WMHs, higher WM-MD were found (P = 0.00018, Bonferroni threshold). Perfusion measures did not show significant differences with increasing age. Hippocampal volume showed the greatest association with age, with a reduction of approximately 0.48%/year. This preliminary study augments and provides insight into multimodal brain measures during the nascent stages of aging among the Indian population (South Asian ethnicity). Our findings establish the groundwork for future hypothetical testing studies.
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Affiliation(s)
- Pallavi Nair
- Department of Neurology, All India Institute of Medical Sciences, New Delhi, India
| | - Kameshwar Prasad
- Department of Neurology, All India Institute of Medical Sciences, New Delhi, India
- Department of Neurology, Rajendra Institute of Medical Sciences, Ranchi, Jharkhand, India
- Corresponding author at: Director’s Cell, Rajendra Institute of Medical Sciences, Ranchi 834009, Jharkhand, India.
| | - Parthiban Balasundaram
- Department of Neuroradiology, All India Institute of Medical Sciences, New Delhi, India
- Department of Neuroradiology, Kings College Hospital, London, UK
| | - Deepti Vibha
- Department of Neurology, All India Institute of Medical Sciences, New Delhi, India
| | - Sada Nand Dwivedi
- Department of Biostatistics, All India Institute of Medical Sciences, New Delhi, India
| | | | - Achal K. Srivastava
- Department of Neurology, All India Institute of Medical Sciences, New Delhi, India
| | - Vivek Verma
- Department of Neurology, All India Institute of Medical Sciences, New Delhi, India
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Ma J, Ma LY, Man F, Zhang G. Association of Homocysteine Levels With Medial Temporal Lobe Atrophy Among Carriers and Non-carriers of APOE ε4 in MCI Subjects. Front Psychiatry 2022; 13:823605. [PMID: 35492717 PMCID: PMC9039208 DOI: 10.3389/fpsyt.2022.823605] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/21/2022] [Accepted: 03/23/2022] [Indexed: 11/25/2022] Open
Abstract
Background Different clinical subtypes of mild cognitive impairment (MCI) involve heterogeneous underlying etiologies. This study investigated the association between demographics, neuropsychological performance, apolipoprotein E (APOE) genotype and magnetic resonance imaging (MRI) measures in patients with MCI (amnestic [aMCI] and non-amnestic [naMCI]). Methods This case-control study included 130 aMCI patients, 58 naMCI patients, and 1,106 healthy controls (HCs). APOE genotypes, medial temporal lobe atrophy (MTA), neurological evaluation results, and white matter hyperintensities (WMH) were investigated. Serum folate and vitamin B12 concentrations were analyzed by radioimmunoassay, and plasma hyperhomocysteinemia (Hcy) was assessed by a high-performance liquid chromatography-fluorescence method. Results Serum folate levels were significantly lower, but plasma Hcy levels were higher, in patients with aMCI and naMCI than in healthy controls. There were significantly higher MTA scores in the aMCI group than the healthy control group. Multiple linear regression showed that serum Hcy and folate concentrations were positively associated with MTA (p < 0.05), while APOE4 showed a significant negative association with MTA in the aMCI group (p < 0.01). In addition, moderate/severe WMH showed a significant negative association with MTA in the naMCI and HC groups (p < 0.01). Conclusion The combined presence of APOE4 and Hcy is associated with aMCI in elderly individuals, while moderate/severe WMH is related to naMCI, which suggests etiological differences across MCI subtypes.
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Affiliation(s)
- Jun Ma
- Department of Radiology, Chuiyangliu Hospital Affiliated to Tsinghua University, Beijing, China
| | - Ling-Yun Ma
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - FengYuan Man
- Department of Radiology, PLA Rocket Army Characteristic Medical Center, Beijing, China
| | - Guili Zhang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
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Mangesius S, Haider L, Lenhart L, Steiger R, Prados Carrasco F, Scherfler C, Gizewski ER. Qualitative and Quantitative Comparison of Hippocampal Volumetric Software Applications: Do All Roads Lead to Rome? Biomedicines 2022; 10:biomedicines10020432. [PMID: 35203641 PMCID: PMC8962257 DOI: 10.3390/biomedicines10020432] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2021] [Revised: 01/30/2022] [Accepted: 02/10/2022] [Indexed: 02/06/2023] Open
Abstract
Brain volumetric software is increasingly suggested for clinical routine. The present study quantifies the agreement across different software applications. Ten cases with and ten gender- and age-adjusted healthy controls without hippocampal atrophy (median age: 70; 25–75% range: 64–77 years and 74; 66–78 years) were retrospectively selected from a previously published cohort of Alzheimer’s dementia patients and normal ageing controls. Hippocampal volumes were computed based on 3 Tesla T1-MPRAGE-sequences with FreeSurfer (FS), Statistical-Parametric-Mapping (SPM; Neuromorphometrics and Hammers atlases), Geodesic-Information-Flows (GIF), Similarity-and-Truth-Estimation-for-Propagated-Segmentations (STEPS), and Quantib™. MTA (medial temporal lobe atrophy) scores were manually rated. Volumetric measures of each individual were compared against the mean of all applications with intraclass correlation coefficients (ICC) and Bland–Altman plots. Comparing against the mean of all methods, moderate to low agreement was present considering categorization of hippocampal volumes into quartiles. ICCs ranged noticeably between applications (left hippocampus (LH): from 0.42 (STEPS) to 0.88 (FS); right hippocampus (RH): from 0.36 (Quantib™) to 0.86 (FS). Mean differences between individual methods and the mean of all methods [mm3] were considerable (LH: FS −209, SPM-Neuromorphometrics −820; SPM-Hammers −1474; Quantib™ −680; GIF 891; STEPS 2218; RH: FS −232, SPM-Neuromorphometrics −745; SPM-Hammers −1547; Quantib™ −723; GIF 982; STEPS 2188). In this clinically relevant sample size with large spread in data ranging from normal aging to severe atrophy, hippocampal volumes derived by well-accepted applications were quantitatively different. Thus, interchangeable use is not recommended.
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Affiliation(s)
- Stephanie Mangesius
- Department of Neuroradiology, Medical University of Innsbruck, Anichstrasse 35, 6020 Innsbruck, Austria; (S.M.); (L.L.); (R.S.); (E.R.G.)
- Neuroimaging Core Facility, Medical University of Innsbruck, Anichstrasse 35, 6020 Innsbruck, Austria
| | - Lukas Haider
- NMR Research Unit, Queen Square Multiple Sclerosis Centre, University College London Institute of Neurology, Russell Square House, Russell Square 10-12, London WC1B 5EH, UK;
- Department of Biomedical Imaging and Image Guided Therapy, Medical University of Vienna, Währinger Gürtel 18-20, 1090 Vienna, Austria
- Correspondence:
| | - Lukas Lenhart
- Department of Neuroradiology, Medical University of Innsbruck, Anichstrasse 35, 6020 Innsbruck, Austria; (S.M.); (L.L.); (R.S.); (E.R.G.)
- Neuroimaging Core Facility, Medical University of Innsbruck, Anichstrasse 35, 6020 Innsbruck, Austria
| | - Ruth Steiger
- Department of Neuroradiology, Medical University of Innsbruck, Anichstrasse 35, 6020 Innsbruck, Austria; (S.M.); (L.L.); (R.S.); (E.R.G.)
- Neuroimaging Core Facility, Medical University of Innsbruck, Anichstrasse 35, 6020 Innsbruck, Austria
| | - Ferran Prados Carrasco
- NMR Research Unit, Queen Square Multiple Sclerosis Centre, University College London Institute of Neurology, Russell Square House, Russell Square 10-12, London WC1B 5EH, UK;
- Centre for Medical Image Computing (CMIC), Department of Medical Physics and Biomedical Engineering, University College London, Malet Place Engineering Building, Gower Street, London WC1E 6BT, UK
- e-Health Centre, Universitat Oberta de Catalunya, Rambla del Poblenou 156, 08018 Barcelona, Spain
| | - Christoph Scherfler
- Department of Neurology, Medical University of Innsbruck, Anichstrasse 35, 6020 Innsbruck, Austria;
| | - Elke R. Gizewski
- Department of Neuroradiology, Medical University of Innsbruck, Anichstrasse 35, 6020 Innsbruck, Austria; (S.M.); (L.L.); (R.S.); (E.R.G.)
- Neuroimaging Core Facility, Medical University of Innsbruck, Anichstrasse 35, 6020 Innsbruck, Austria
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10
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Iizuka A, Murayama H, Machida M, Amagasa S, Inoue S, Fujiwara T, Shobugawa Y. Leisure Activity Variety and Brain Volume Among Community-Dwelling Older Adults: Analysis of the Neuron to Environmental Impact Across Generations Study Data. Front Aging Neurosci 2021; 13:758562. [PMID: 34916923 PMCID: PMC8669795 DOI: 10.3389/fnagi.2021.758562] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2021] [Accepted: 11/04/2021] [Indexed: 11/13/2022] Open
Abstract
Background: Recent findings indicate that leisure activity (LA) delays cognitive decline and reduces the risk of dementia. However, the association between LA and brain volume remains unclear. This study aimed to examine the association between LA variety and brain volume with a focus on the hippocampus and gray matter. Methods: Data were obtained from the baseline survey of the Neuron to Environmental Impact across Generations study, which had targeted community-dwelling older adults living in Niigata, Japan. We divided LAs into 10 categories, and counted the number of categories of activities in which the participants engaged. We classified them as follows: 0 (i.e., no activity), 1, 2, or ≥ 3 types. Brain volume was assessed through magnetic resonance imaging, and hippocampal and gray matter volumes were ascertained. Results: The sample size was 482. Multiple linear regression analysis showed that hippocampal and gray matter volumes were significantly greater among participants with ≥ 3 types of LAs than among their no-activity counterparts. Hippocampal volume was significantly greater among those who engaged in one type of LA than among those who engaged in no such activity. Sex-stratified analysis revealed that hippocampal volumes were significantly greater among males who engaged in ≥ 3 types of LAs and one type of LA. However, no such association was found among females. Conclusion: The present findings suggest that engaging in a wide range of LAs is related to hippocampal and gray matter volumes. Furthermore, there was a sex difference in the association between LA variety and brain volume.
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Affiliation(s)
- Ai Iizuka
- Research Team for Social Participation and Community Health, Tokyo Metropolitan Institute of Gerontology, Tokyo, Japan
| | - Hiroshi Murayama
- Research Team for Social Participation and Community Health, Tokyo Metropolitan Institute of Gerontology, Tokyo, Japan
| | - Masaki Machida
- Department of Preventive Medicine and Public Health, Tokyo Medical University, Tokyo, Japan
| | - Shiho Amagasa
- Department of Preventive Medicine and Public Health, Tokyo Medical University, Tokyo, Japan
| | - Shigeru Inoue
- Department of Preventive Medicine and Public Health, Tokyo Medical University, Tokyo, Japan
| | - Takeo Fujiwara
- Department of Global Health Promotion, Tokyo Medical and Dental University, Tokyo, Japan
| | - Yugo Shobugawa
- Department of Active Ageing, Niigata University Graduate School of Medical and Dental Sciences, Niigata, Japan
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11
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Qin Y, Ai D, Jordan AE, Guo X, Li T, Diao S, Zhao H, Liu Y, Xue Q, Wang Y, Fang Q. Better Screening Value of Sylvian Fissure Ratio on Cognitive Decline Among Female Compared to Male: An Observational Study in Elderly Patients With Cerebral Small Vessel Disease in Soochow. Front Neurosci 2021; 15:729782. [PMID: 34675766 PMCID: PMC8524438 DOI: 10.3389/fnins.2021.729782] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2021] [Accepted: 09/03/2021] [Indexed: 11/17/2022] Open
Abstract
Background: Cognitive decline (CD) occurs frequently in elderly patients with cerebral small vessel disease (CSVD). In China, elderly patients are more likely to enter healthcare in community hospitals where no magnetic resonance imaging (MRI) is available. This study aimed to explore the screening value of Sylvian fissure ratio (SFR) on CD and compare its gender difference from community-transferred patients. Methods: We performed a single-center, observational study (collected between April 1, 2016, and March 1, 2019) to evaluate the association between Montreal Cognitive Assessment (MoCA) and SFR in 203 eligible community-transferred patients. Baseline characteristics of patients were collected during hospitalization. Multiple linear regression analyses were used to estimate the effect of variables on MoCA, and interactions between select variables were analyzed in different models. Receiver operating characteristic (ROC) curve analysis was used to evaluate the discriminative effect of SFR to severe CD. Results: We identified that a meaningful SFR cutoff of 0.05 had important screening value (likelihood ratio test, p = 0.067) on CD. The ratio had a lower screen value in males when compared to females (adjusted β, −5.54; 95% CI, −8.78 to −2.30 vs. adjusted β, −1.01; 95% CI, −2.84 to 0.82). The gender difference was further verified by ROC curve analysis, in which this discriminative effect was more potent in females (from 0.878 to 0.948) compared to males (from 0.838 to 0.837). Conclusion: An SFR of 0.05 may be more useful to distinguish CD in female patients with CSVD than male patients in whom the syndrome is suspected clinically.
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Affiliation(s)
- Yiren Qin
- The Stroke Center, The First Affiliated Hospital of Soochow University, Suzhou, China
| | - Dannan Ai
- The Stroke Center, The First Affiliated Hospital of Soochow University, Suzhou, China
| | | | - Xiaoning Guo
- The Stroke Center, The First Affiliated Hospital of Soochow University, Suzhou, China
| | - Tan Li
- The Stroke Center, The First Affiliated Hospital of Soochow University, Suzhou, China
| | - Shanshan Diao
- The Stroke Center, The First Affiliated Hospital of Soochow University, Suzhou, China
| | - Hongru Zhao
- The Stroke Center, The First Affiliated Hospital of Soochow University, Suzhou, China
| | - Yang Liu
- Department of Neurology, Saarland University, Homburg, Germany
| | - Qun Xue
- The Stroke Center, The First Affiliated Hospital of Soochow University, Suzhou, China
| | - Yueju Wang
- The Stroke Center, The First Affiliated Hospital of Soochow University, Suzhou, China.,Department of Geriatrics, The First Affiliated Hospital of Soochow University, Suzhou, China
| | - Qi Fang
- The Stroke Center, The First Affiliated Hospital of Soochow University, Suzhou, China
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12
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Zhang Z, Cui L, Huang Y, Chen Y, Li Y, Guo Q. Changes of Regional Neural Activity Homogeneity in Preclinical Alzheimer's Disease: Compensation and Dysfunction. Front Neurosci 2021; 15:646414. [PMID: 34220418 PMCID: PMC8248345 DOI: 10.3389/fnins.2021.646414] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2020] [Accepted: 05/26/2021] [Indexed: 12/23/2022] Open
Abstract
INTRODUCTION Subjective cognitive decline (SCD) is the preclinical stage of Alzheimer's disease and may develop into amnestic mild cognitive impairment (aMCI). Finding suitable biomarkers is the key to accurately identifying SCD. Previous resting-state functional magnetic resonance imaging (rs-fMRI) studies on SCD patients showed functional connectivity disorders. Our goal was to explore whether local neurological homogeneity changes in SCD patients, the relationship between these changes and cognitive function, and similarities of neurological homogeneity changes between SCD and aMCI patients. MATERIALS AND METHODS 37 cases of the healthy control (HC) group, 39 cases of the SCD group, and 28 cases of the aMCI group were included. Participants underwent rs-fMRI examination and a set of neuropsychological test batteries. Regional homogeneity (ReHo) was calculated and compared between groups. ReHo values were extracted from meaningful regions in the SCD group, and the correlation between ReHo values with the performance of neuropsychological tests was analyzed. RESULTS Our results showed significant changes in the ReHo among groups. In the SCD group compared with the HC group, part of the parietal lobe, frontal lobe, and occipital lobe showed decreased ReHo, and the temporal lobe, part of the parietal lobe and the frontal lobe showed increased ReHo. The increased area of ReHo was negatively correlated with the decreased area, and was related to decrease on multiple neuropsychological tests performance. Simultaneously, the changed areas of ReHo in SCD patients are similar to aMCI patients, while aMCI group's neuropsychological test performance was significantly lower than that of the SCD group. CONCLUSION There are significant changes in local neurological homogeneity in SCD patients, and related to the decline of cognitive function. The increase of neurological homogeneity in the temporal lobe and adjacent area is negatively correlated with cognitive function, reflecting compensation for local neural damage. These changes in local neurological homogeneity in SCD patients are similar to aMCI patients, suggesting similar neuropathy in these two stages. However, the aMCI group's cognitive function was significantly worse than that of the SCD group, suggesting that this compensation is limited. In summary, regional neural activity homogeneity may be a potential biomarker for identifying SCD and measuring the disease severity.
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Affiliation(s)
- Zhen Zhang
- Department of Gerontology, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, Shanghai, China
| | - Liang Cui
- Department of Gerontology, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, Shanghai, China
| | - Yanlu Huang
- Department of Gerontology, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, Shanghai, China
| | - Yu Chen
- The Brain Cognition and Brain Disease Institute, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen–Hong Kong Institute of Brain Science-Shenzhen Fundamental Research Institutions, Shenzhen, China
| | - Yuehua Li
- Department of Radiology, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, Shanghai, China
| | - Qihao Guo
- Department of Gerontology, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, Shanghai, China
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13
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Cox SR, Lyall DM, Ritchie SJ, Bastin ME, Harris MA, Buchanan CR, Fawns-Ritchie C, Barbu MC, de Nooij L, Reus LM, Alloza C, Shen X, Neilson E, Alderson HL, Hunter S, Liewald DC, Whalley HC, McIntosh AM, Lawrie SM, Pell JP, Tucker-Drob EM, Wardlaw JM, Gale CR, Deary IJ. Associations between vascular risk factors and brain MRI indices in UK Biobank. Eur Heart J 2020; 40:2290-2300. [PMID: 30854560 PMCID: PMC6642726 DOI: 10.1093/eurheartj/ehz100] [Citation(s) in RCA: 177] [Impact Index Per Article: 44.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/08/2019] [Revised: 01/23/2019] [Accepted: 02/19/2019] [Indexed: 12/30/2022] Open
Abstract
Aims Several factors are known to increase risk for cerebrovascular disease and dementia, but there is limited evidence on associations between multiple vascular risk factors (VRFs) and detailed aspects of brain macrostructure and microstructure in large community-dwelling populations across middle and older age. Methods and results Associations between VRFs (smoking, hypertension, pulse pressure, diabetes, hypercholesterolaemia, body mass index, and waist–hip ratio) and brain structural and diffusion MRI markers were examined in UK Biobank (N = 9722, age range 44–79 years). A larger number of VRFs was associated with greater brain atrophy, lower grey matter volume, and poorer white matter health. Effect sizes were small (brain structural R2 ≤1.8%). Higher aggregate vascular risk was related to multiple regional MRI hallmarks associated with dementia risk: lower frontal and temporal cortical volumes, lower subcortical volumes, higher white matter hyperintensity volumes, and poorer white matter microstructure in association and thalamic pathways. Smoking pack years, hypertension and diabetes showed the most consistent associations across all brain measures. Hypercholesterolaemia was not uniquely associated with any MRI marker. Conclusion Higher levels of VRFs were associated with poorer brain health across grey and white matter macrostructure and microstructure. Effects are mainly additive, converging upon frontal and temporal cortex, subcortical structures, and specific classes of white matter fibres. Though effect sizes were small, these results emphasize the vulnerability of brain health to vascular factors even in relatively healthy middle and older age, and the potential to partly ameliorate cognitive decline by addressing these malleable risk factors.
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Affiliation(s)
- Simon R Cox
- Centre for Cognitive Ageing and Cognitive Epidemiology, The University of Edinburgh, 7 George Square, Edinburgh, UK.,Department of Psychology, The University of Edinburgh, 7 George Square, Edinburgh, UK.,Scottish Imaging Network, A Platform for Scientific Excellence (SINAPSE) Collaboration, 300 Bath St, Glasgow, UK
| | - Donald M Lyall
- Scottish Imaging Network, A Platform for Scientific Excellence (SINAPSE) Collaboration, 300 Bath St, Glasgow, UK.,Institute of Health and Wellbeing, University of Glasgow, 1 Lilybank Gardens, Glasgow, UK
| | - Stuart J Ritchie
- Centre for Cognitive Ageing and Cognitive Epidemiology, The University of Edinburgh, 7 George Square, Edinburgh, UK.,Department of Psychology, The University of Edinburgh, 7 George Square, Edinburgh, UK.,Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, De Crespigny Park, Denmark Hill, London, UK
| | - Mark E Bastin
- Centre for Cognitive Ageing and Cognitive Epidemiology, The University of Edinburgh, 7 George Square, Edinburgh, UK.,Scottish Imaging Network, A Platform for Scientific Excellence (SINAPSE) Collaboration, 300 Bath St, Glasgow, UK.,Brain Research Imaging Centre, Neuroimaging Sciences, The University of Edinburgh, Chancellor's Building, 49 Little France Crescent, Edinburgh, UK
| | - Mathew A Harris
- Division of Psychiatry, The University of Edinburgh, Kennedy Tower, Royal Edinburgh Hospital, Morningside Park, Edinburgh, UK
| | - Colin R Buchanan
- Centre for Cognitive Ageing and Cognitive Epidemiology, The University of Edinburgh, 7 George Square, Edinburgh, UK.,Department of Psychology, The University of Edinburgh, 7 George Square, Edinburgh, UK.,Scottish Imaging Network, A Platform for Scientific Excellence (SINAPSE) Collaboration, 300 Bath St, Glasgow, UK
| | - Chloe Fawns-Ritchie
- Centre for Cognitive Ageing and Cognitive Epidemiology, The University of Edinburgh, 7 George Square, Edinburgh, UK.,Department of Psychology, The University of Edinburgh, 7 George Square, Edinburgh, UK
| | - Miruna C Barbu
- Division of Psychiatry, The University of Edinburgh, Kennedy Tower, Royal Edinburgh Hospital, Morningside Park, Edinburgh, UK
| | - Laura de Nooij
- Division of Psychiatry, The University of Edinburgh, Kennedy Tower, Royal Edinburgh Hospital, Morningside Park, Edinburgh, UK
| | - Lianne M Reus
- Alzheimer Centre Amsterdam, Department of Neurology, Amsterdam Neuroscience, VU University Amsterdam, Amsterdam UMC, De Boelelaan 1117, HV Amsterdam, The Netherlands
| | - Clara Alloza
- Division of Psychiatry, The University of Edinburgh, Kennedy Tower, Royal Edinburgh Hospital, Morningside Park, Edinburgh, UK
| | - Xueyi Shen
- Division of Psychiatry, The University of Edinburgh, Kennedy Tower, Royal Edinburgh Hospital, Morningside Park, Edinburgh, UK
| | - Emma Neilson
- Division of Psychiatry, The University of Edinburgh, Kennedy Tower, Royal Edinburgh Hospital, Morningside Park, Edinburgh, UK
| | | | - Stuart Hunter
- NHS Lothian, Waverley Gate, 2-4 Waterloo Place, Edinburgh, UK
| | - David C Liewald
- Centre for Cognitive Ageing and Cognitive Epidemiology, The University of Edinburgh, 7 George Square, Edinburgh, UK.,Department of Psychology, The University of Edinburgh, 7 George Square, Edinburgh, UK
| | - Heather C Whalley
- Division of Psychiatry, The University of Edinburgh, Kennedy Tower, Royal Edinburgh Hospital, Morningside Park, Edinburgh, UK
| | - Andrew M McIntosh
- Centre for Cognitive Ageing and Cognitive Epidemiology, The University of Edinburgh, 7 George Square, Edinburgh, UK.,Division of Psychiatry, The University of Edinburgh, Kennedy Tower, Royal Edinburgh Hospital, Morningside Park, Edinburgh, UK
| | - Stephen M Lawrie
- Division of Psychiatry, The University of Edinburgh, Kennedy Tower, Royal Edinburgh Hospital, Morningside Park, Edinburgh, UK
| | - Jill P Pell
- Institute of Health and Wellbeing, University of Glasgow, 1 Lilybank Gardens, Glasgow, UK
| | - Elliot M Tucker-Drob
- Department of Psychology, University of Texas, 108 E Dean Keeton St, Austin, Texas, USA
| | - Joanna M Wardlaw
- Centre for Cognitive Ageing and Cognitive Epidemiology, The University of Edinburgh, 7 George Square, Edinburgh, UK.,Scottish Imaging Network, A Platform for Scientific Excellence (SINAPSE) Collaboration, 300 Bath St, Glasgow, UK.,Brain Research Imaging Centre, Neuroimaging Sciences, The University of Edinburgh, Chancellor's Building, 49 Little France Crescent, Edinburgh, UK.,UK Dementia Research Institute at the University of Edinburgh, Edinburgh BioQuarter, Edinburgh, UK
| | - Catharine R Gale
- Centre for Cognitive Ageing and Cognitive Epidemiology, The University of Edinburgh, 7 George Square, Edinburgh, UK.,Department of Psychology, The University of Edinburgh, 7 George Square, Edinburgh, UK.,MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton General Hospital, Tremona Road, Southampton, UK
| | - Ian J Deary
- Centre for Cognitive Ageing and Cognitive Epidemiology, The University of Edinburgh, 7 George Square, Edinburgh, UK.,Department of Psychology, The University of Edinburgh, 7 George Square, Edinburgh, UK
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14
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Cardiometabolic determinants of early and advanced brain alterations: Insights from conventional and novel MRI techniques. Neurosci Biobehav Rev 2020; 115:308-320. [DOI: 10.1016/j.neubiorev.2020.04.001] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2019] [Revised: 02/21/2020] [Accepted: 04/02/2020] [Indexed: 12/11/2022]
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15
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De Looze C, Williamson W, Hirst R, O'Connor J, Knight S, McCrory C, Carey D, Kenny R. Impaired orthostatic heart rate recovery is associated with smaller thalamic volume: Results from The Irish Longitudinal Study on Aging (
TILDA
). Hum Brain Mapp 2020; 41:3370-3378. [PMID: 32352604 PMCID: PMC7375046 DOI: 10.1002/hbm.25022] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2020] [Revised: 04/01/2020] [Accepted: 04/14/2020] [Indexed: 11/25/2022] Open
Abstract
The thalamus is a central hub of the autonomic network and thalamic volume has been associated with high‐risk phenotypes for sudden cardiac death. Heart rate response to physiological stressors (e.g., standing) and the associated recovery patterns provide reliable indicators of both autonomic function and cardiovascular risk. Here we examine if thalamic volume may be a risk marker for impaired heart rate recovery in response to orthostatic challenge. The Irish Longitudinal Study on Aging involves a nationally representative sample of older individuals aged ≥50 years. Multimodal brain magnetic resonance imaging and orthostatic heart rate recovery were available for a cross‐sectional sample of 430 participants. Multivariable regression and linear mixed‐effects models were adjusted for head size, age, sex, education, body mass index, blood pressure, history of cardiovascular diseases and events, cardiovascular medication, diabetes mellitus, smoking, alcohol intake, timed up‐and‐go (a measure of physical frailty), physical exercise and depression. Smaller thalamic volume was associated with slower heart rate recovery (−1.4 bpm per 1 cm3 thalamic volume, 95% CI −2.01 to −0.82; p < .001). In multivariable analysis, participants with smaller thalamic volumes had a mean heart rate recovery −2.7 bpm slower than participants with larger thalamic volumes (95% CI −3.89 to −1.61; p < .001). Covariates associated with smaller thalamic volume included age, history of diabetes, and heavy alcohol consumption. Thalamic volume may be an indicator of the structural integrity of the central autonomic network. It may be a clinical biomarker for stratification of individuals at risk of autonomic dysfunction, cardiovascular events, and sudden cardiac death.
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Affiliation(s)
- Céline De Looze
- The Irish Longitudinal Study on Ageing, Trinity College, University of Dublin Dublin Ireland
| | - Wilby Williamson
- The Irish Longitudinal Study on Ageing, Trinity College, University of Dublin Dublin Ireland
- Department of PhysiologyTrinity College Dublin Dublin Ireland
- Global Brain Health Institute, Trinity College Dublin Dublin Ireland
- Oxford Cardiovascular Clinical Research Facility Division of Cardiovascular Medicine, Radcliffe Department of MedicineUniversity of Oxford Oxford UK
| | - Rebecca Hirst
- The Irish Longitudinal Study on Ageing, Trinity College, University of Dublin Dublin Ireland
- School of Psychology and Institute of Neuroscience, Trinity College Dublin Dublin Ireland
| | - John O'Connor
- The Irish Longitudinal Study on Ageing, Trinity College, University of Dublin Dublin Ireland
| | - Silvin Knight
- The Irish Longitudinal Study on Ageing, Trinity College, University of Dublin Dublin Ireland
| | - Cathal McCrory
- The Irish Longitudinal Study on Ageing, Trinity College, University of Dublin Dublin Ireland
| | - Daniel Carey
- The Irish Longitudinal Study on Ageing, Trinity College, University of Dublin Dublin Ireland
| | - Rose‐Anne Kenny
- The Irish Longitudinal Study on Ageing, Trinity College, University of Dublin Dublin Ireland
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16
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Tuokkola T, Karrasch M, Koikkalainen J, Parkkola R, Lötjönen J, Löyttyniemi E, Hurme S, Rinne JO. Association between Deep Gray Matter Changes and Neurocognitive Function in Mild Cognitive Impairment and Alzheimer's Disease: A Tensor-Based Morphometric MRI Study. Dement Geriatr Cogn Disord 2020; 48:68-78. [PMID: 31514198 DOI: 10.1159/000502476] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/19/2019] [Accepted: 08/04/2019] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND Atrophy of the deep gray matter (DGM) has been associated with a risk of conversion from mild cognitive impairment (MCI) to Alzheimer's disease (AD) and the degree of cognitive impairment. However, specific knowledge of the associations between degenerative DGM changes and neurocognitive functions remains limited. OBJECTIVE To examine degenerative DGM changes and evaluate their association with neurocognitive functions. METHOD We examined DGM volume changes with tensor-based morphometry (TBM) and analyzed the relationships between DGM changes and neurocognitive functions in control (n = 58), MCI (n = 38), and AD (n = 58) groups with multiple linear regression analyses. RESULTS In all DGM areas, the AD group had the largest changes in TBM volume. The differences in TBM volume changes were larger between the control group and the AD group than between the other pairs of groups. In the AD group, volume changes of the right thalamus were significantly associated with episodic memory, learning, and semantic processing. Significant or trend-level associations were identified between bilateral caudate nucleus changes and episodic memory as well as semantic processing. In the control and MCI groups, very few significant associations emerged. CONCLUSIONS Atrophy of the DGM structures, especially the thalamus and caudate nucleus, is related to cognitive impairment in AD. DGM atrophy is associated with tests reflecting both subcortical and cortical cognitive functions.
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Affiliation(s)
- Terhi Tuokkola
- Turku PET Centre, Turku University Hospital, Finland, and University of Turku, Turku, Finland,
| | - Mira Karrasch
- Department of Psychology, Abo Akademi University, Turku, Finland
| | | | - Riitta Parkkola
- Department of Radiology, University Hospital of Turku, Finland, and University of Turku, Turku, Finland
| | | | | | - Saija Hurme
- Department of Biostatistics, University of Turku, Turku, Finland
| | - Juha Olavi Rinne
- Turku PET Centre, Turku University Hospital, Finland, and University of Turku, Turku, Finland.,Division of Clinical Neurosciences, Turku University Hospital, Turku, Finland
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17
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Interethnic differences in neuroimaging markers and cognition in Asians, a population-based study. Sci Rep 2020; 10:2655. [PMID: 32060376 PMCID: PMC7021682 DOI: 10.1038/s41598-020-59618-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2019] [Accepted: 01/30/2020] [Indexed: 11/09/2022] Open
Abstract
We examined interethnic differences in the prevalence of neuroimaging markers of cerebrovascular and neurodegenerative disease in 3 major Asian ethnicities (Chinese, Malays, and Indians), as well as their role in cognitive impairment. 3T MRI brain scans were acquired from 792 subjects (mean age: 70.0 ± 6.5years, 52.1% women) in the multi-ethnic Epidemiology of Dementia In Singapore study. Markers of cerebrovascular disease and neurodegeneration were identified. Cognitive performance was evaluated using Mini Mental State Examination (MMSE), Montreal Cognitive Assessment (MoCA), and a neuropsychological assessment. Compared to Chinese, Malays had a higher burden of intracranial stenosis (OR: 2.28. 95%CI: 1.23-4.20) and cortical atrophy (β: -0.60. 95%CI: -0.78, -0.41), while Indians had a higher burden of subcortical atrophy (β: -0.23. 95%CI: -0.40, -0.06). Moreover, Malay and Indian ethnicities were likely to be cognitively impaired (OR for Malays: 3.79. 95%CI: 2.29-6.26; OR for Indians: 2.87. 95%CI: 1.74-4.74) and showed worse performance in global cognition (β for Malays: -0.51. 95%CI: -0.66, -0.37; and Indians: -0.32. 95%CI: -0.47, -0.17). A higher burden of cerebrovascular and neurodegenerative markers were found in Malays and Indians when compared to Chinese. Further research is required to fully elucidate the factors and pathways that contribute to these observed differences.
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Hilal S, Tan CS, van Veluw SJ, Xu X, Vrooman H, Tan BY, Venketasubramanian N, Biessels GJ, Chen C. Cortical cerebral microinfarcts predict cognitive decline in memory clinic patients. J Cereb Blood Flow Metab 2020; 40:44-53. [PMID: 30890075 PMCID: PMC6928564 DOI: 10.1177/0271678x19835565] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Cortical cerebral microinfarcts (CMIs) - a novel MRI marker of cerebral vascular pathology have been linked with dementia and impaired cognition in cross-sectional studies. However, it is unknown if cortical CMIs are an indicator of further cognitive decline. We sought to examine whether baseline cortical CMIs predict cognitive decline in a prospective memory-clinic setting. A total of 313 patients with baseline 3T MRI scans and at least two neuropsychological assessments obtained a minimum of one year apart were recruited. Cortical CMIs were graded on baseline MRI according to a validated protocol. The Montreal Cognitive Assessment (MoCA) and a detailed neuropsychological battery were used to assess cognition. Patients with increased cortical CMIs showed greater decline in MoCA and global cognition per year. Patients with > 2 cortical CMIs decline on average by 2 scores on MoCA and 0.5 on global cognition at year two which corresponds to 109.8% and 184.5% greater decline when compared to those without CMIs. Furthermore, cortical CMIs at baseline were associated with accelerated decline in memory and language domains. Similar associations were observed when analysis was restricted to demented patients. Cortical CMIs together with other cerebrovascular disease markers can be used to design clinical trials in vascular cognitive impairment.
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Affiliation(s)
- Saima Hilal
- Department of Pharmacology, National University of Singapore, Singapore.,Memory Aging and Cognition Center, National University Health System, Singapore.,Departments of Epidemiology and Radiology and Nuclear Medicine, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Chuen Seng Tan
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore
| | - Susanne J van Veluw
- Department of Neurology, Massachusetts General Hospital / Harvard Medical School, Boston, MA, USA.,Department of Neurology, Brain Center Rudolf Magnus, University Medical Center Utrecht, the Netherlands
| | - Xin Xu
- Department of Pharmacology, National University of Singapore, Singapore.,Memory Aging and Cognition Center, National University Health System, Singapore
| | - Henri Vrooman
- Departments of Radiology and Medical Informatics, Erasmus University Medical Center, Rotterdam, the Netherlands
| | | | | | - Geert J Biessels
- Department of Neurology, Brain Center Rudolf Magnus, University Medical Center Utrecht, the Netherlands
| | - Christopher Chen
- Department of Pharmacology, National University of Singapore, Singapore.,Memory Aging and Cognition Center, National University Health System, Singapore.,Department of Psychological Medicine, National University Hospital, Singapore
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19
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Gyanwali B, Shaik MA, Tan CS, Vrooman H, Venketasubramanian N, Chen C, Hilal S. Mixed-location cerebral microbleeds as a biomarker of neurodegeneration in a memory clinic population. Aging (Albany NY) 2019; 11:10581-10596. [PMID: 31767809 PMCID: PMC6914397 DOI: 10.18632/aging.102478] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2019] [Accepted: 11/08/2019] [Indexed: 11/25/2022]
Abstract
Cerebral microbleeds (CMBs) in the lobar and deep locations are associated with two distinct pathologies: cerebral amyloid angiopathy and hypertensive arteriopathy. However, the role of mixed-location CMBs in neurodegeneration remains unexplored. We investigated the associations between strictly lobar, strictly deep and mixed-location CMBs with markers of neurodegeneration. This study recruited 477 patients from a memory clinic who underwent 3T MRI scans. CMBs were categorized into strictly lobar, strictly deep and mixed-location. Cortical thickness, white matter volume and subcortical structural volumes were quantified using Free-Surfer. Linear regression models were performed to assess the association between CMBs and cerebral atrophy, and the mean difference (β) and 95% confidence intervals (CIs) were reported. In the regression analyses, mixed-location CMBs were associated with smaller cortical thickness of limbic region [β= -0.01; 95% CI= -0.02, -0.00, p=0.007) as well as with smaller accumbens volume [β= -0.01; 95% CI= -0.02, -0.00, p=0.004) and presubiculum region of hippocampus [β= -0.01; 95% CI= -0.02, -0.00, p=0.002). Strictly lobar CMBs were associated with smaller total white matter volume [β= -0.03; 95% CI= -0.04, -0.01, p<0.001] and with region specific white matter volumes. The underlying mechanism requires further research and may involve shared mechanisms of vascular dysfunction and neurodegeneration.
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Affiliation(s)
- Bibek Gyanwali
- Memory Aging and Cognition Centre, National University Health System, Singapore.,Department of Pharmacology, National University of Singapore, Singapore
| | - Muhammad Amin Shaik
- Ageing Research Institute for Society and Education, Nanyang Technological University, Singapore
| | - Chuen Seng Tan
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore
| | - Henri Vrooman
- Departments of Radiology and Medical Informatics, Erasmus University Medical Center, Rotterdam, The Netherlands
| | | | - Christopher Chen
- Memory Aging and Cognition Centre, National University Health System, Singapore.,Department of Pharmacology, National University of Singapore, Singapore
| | - Saima Hilal
- Memory Aging and Cognition Centre, National University Health System, Singapore.,Department of Pharmacology, National University of Singapore, Singapore.,Saw Swee Hock School of Public Health, National University of Singapore, Singapore.,Departments of Epidemiology and Radiology and Nuclear Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands
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20
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Wang Y, Jiang Y, Suo C, Yuan Z, Xu K, Yang Q, Tang W, Zhang K, Zhu Z, Tian W, Fan M, Li S, Ye W, Dong Q, Jin L, Cui M, Chen X. Deep/mixed cerebral microbleeds are associated with cognitive dysfunction through thalamocortical connectivity disruption: The Taizhou Imaging Study. NEUROIMAGE-CLINICAL 2019; 22:101749. [PMID: 30875641 PMCID: PMC6416976 DOI: 10.1016/j.nicl.2019.101749] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/30/2018] [Revised: 03/03/2019] [Accepted: 03/05/2019] [Indexed: 11/26/2022]
Abstract
Background Cerebral microbleeds (CMBs) are considered to be risk factors for cognitive dysfunction. The specific pathology and clinical manifestations of CMBs are different based on their locations. We investigated the association between CMBs at different locations and cognitive dysfunction and explored the potential underlying pathways in a rural Han Chinese population. Methods We used baseline data from 562 community-dwelling adults (55–65 years old) in the Taizhou Imaging Study between 2013 and 2015. All individuals underwent multimodal brain magnetic resonance imaging (MRI) and 444 subjects completed neuropsychological tests: the Mini-Mental Status Examination and the Montreal Cognitive Assessment. Multinomial logistic regression was used to estimate the association between CMBs and cognitive dysfunction. The volume of brain regions and white matter microstructure were analyzed using Freesurfer and tract-based spatial statistics, respectively. Results CMBs were detected in 104 individuals (18.5%) in our study. Multinomial logistic regression found deep/mixed CMBs were associated with global cognitive dysfunction (OR 3.52; 95% CI 1.21 to 10.26), whereas lobar CMBs (OR 1.76; 95% CI 0.56 to 5.53) were not. Quantification of multimodal brain MRI showed that deep/mixed CMBs were accompanied by decreased thalamic volume and loss of fractional anisotropy of bilateral anterior thalamic radiations. Conclusion Deep/mixed CMBs were associated with cognitive dysfunction in this Chinese cross-sectional study. Disruption of thalamocortical connectivity might be a potential pathway underlying this relationship. Cerebral microbleeds (CMBs) are found in 18.5% of middle-aged Chinese population. Deep/mixed CMBs, not lobar CMBs, are associated with cognitive dysfunction. Atrophy and fiber connectivity disruption might be the underlying neural pathways.
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Affiliation(s)
- Yingzhe Wang
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China
| | - Yanfeng Jiang
- State Key Laboratory of Genetic Engineering and the Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University, Shanghai, China; Fudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China
| | - Chen Suo
- Department of Epidemiology, School of Public Health, Fudan University, Shanghai, China; Fudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China
| | - Ziyu Yuan
- Fudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China
| | - Kelin Xu
- School of Data Science and Institute for Big Data, Collaborative Innovation Center for Genetics and Development, Fudan University, Shanghai, China; Fudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China
| | - Qi Yang
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China
| | - Weijun Tang
- Department of Radiology, Huashan Hospital, Fudan University, Shanghai, China
| | - Kexun Zhang
- Department of Epidemiology, School of Public Health, Fudan University, Shanghai, China; Fudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China
| | - Zhen Zhu
- Department of Epidemiology, School of Public Health, Fudan University, Shanghai, China; Fudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China
| | | | - Min Fan
- Taixing Disease Control and Prevention Center, Taizhou, Jiangsu, China
| | - Shuyuan Li
- Institute of Embryo-Fetal Original Adult Disease, International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China; Fudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China
| | - Weimin Ye
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden; Fudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China
| | - Qiang Dong
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China
| | - Li Jin
- State Key Laboratory of Genetic Engineering and the Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University, Shanghai, China; Fudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China; Human Phenome Institute, Fudan University, Shanghai, China
| | - Mei Cui
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China.
| | - Xingdong Chen
- State Key Laboratory of Genetic Engineering and the Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University, Shanghai, China; Fudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China; Human Phenome Institute, Fudan University, Shanghai, China.
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21
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Tan B, Venketasubramanian N, Vrooman H, Cheng CY, Wong TY, Ikram MK, Chen C, Hilal S. Homocysteine and Cerebral Atrophy: The Epidemiology of Dementia in Singapore Study. J Alzheimers Dis 2019; 62:877-885. [PMID: 29480177 DOI: 10.3233/jad-170796] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND Plasma homocysteine levels are increasingly studied as a potential risk factor for dementia. Elevated homocysteine levels have been linked with gray and white matter volume reduction among individuals with mild cognitive impairment and Alzheimer's disease. However, the effects of homocysteine on brain changes in preclinical stages of dementia remain unexplored. OBJECTIVE To examine the association of elevated homocysteine levels with markers of neurodegeneration, i.e., white and gray matter volume in an elderly population. METHODS The study included 768 participants (mean age: 69.6±6.5 years, 51.3% women) from the Epidemiology of Dementia In Singapore study. Participants underwent a brain MRI scan and blood tests. Serum homocysteine was measured using competitive immunoassay. Cortical thickness and subcortical structural volume were quantified using FreeSurfer whereas white matter volume was quantified using a previous validated method. RESULTS Higher homocysteine levels were significantly associated with decreased global white matter volume [mean difference (β) in volume (ml) per micromole per liter (μmol/l) increase in homocysteine levels: - 0.555, 95% Confidence Interval (CI): - 0.873; - 0.237], decreased parietal cortical thickness [β in thickness (μm) per μmol/l increase in homocysteine levels:- 1.429, 95% CI: - 2.781; - 0.077], and smaller volumes of the thalamus [β: - 0.017, 95% CI: - 0.026; - 0.008], brainstem [β: - 0.037, 95% CI: - 0.058; - 0.016], and accumbens [β: - 0.004, 95% CI: - 0.006; - 0.002]. CONCLUSION Higher homocysteine levels were associated with cerebral atrophy. Further studies are required to assess whether lowering plasma homocysteine levels may prevent neurodegenerative changes or delay progression of clinical symptoms before the development of dementia.
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Affiliation(s)
- Bryce Tan
- Memory Ageing and Cognition Center (MACC), National University Health System, Singapore
| | | | - Henri Vrooman
- Departments of Radiology and Medical Informatics, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Ching-Yu Cheng
- Singapore Eye Research Institute, Singapore National Eye Center, Singapore.,Academic Medicine Research Institute, Duke-NUS Graduate Medical School, Singapore
| | - Tien Yin Wong
- Singapore Eye Research Institute, Singapore National Eye Center, Singapore.,Academic Medicine Research Institute, Duke-NUS Graduate Medical School, Singapore
| | | | - Christopher Chen
- Memory Ageing and Cognition Center (MACC), National University Health System, Singapore.,Department of Pharmacology, National University of Singapore, Singapore
| | - Saima Hilal
- Memory Ageing and Cognition Center (MACC), National University Health System, Singapore.,Department of Pharmacology, National University of Singapore, Singapore
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22
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Schneider ALC, Senjem ML, Wu A, Gross A, Knopman DS, Gunter JL, Schwarz CG, Mosley TH, Gottesman RF, Sharrett AR, Jack CR. Neural correlates of domain-specific cognitive decline: The ARIC-NCS Study. Neurology 2019; 92:e1051-e1063. [PMID: 30728308 DOI: 10.1212/wnl.0000000000007042] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2018] [Accepted: 10/29/2018] [Indexed: 11/15/2022] Open
Abstract
OBJECTIVE To evaluate the association of cognitive declines in the domains of memory, language, and executive function with brain gray matter (GM) volume in old age. METHODS This was a prospective study of 1,846 participants in the Atherosclerosis Risk in Communities (ARIC) Study who underwent 3T brain MRI scans in 2011 to 2013. Participants were categorized by cognitive domain performance trajectory over the prior 20 years (cut point to define decline: 20th percentile). Associations between GM volume and cognitive declines were assessed at the voxel level with voxel-based morphometry and at the regional level with atlas-defined GM volumes of specific regions of interest. RESULTS Participants were an average age of 76 years; 60% were female; and 28% were black. Participants in the top 20th percentile for decline in the memory domain had smaller GM volumes in the medial temporal lobe (-3.3%, 95% confidence interval [CI] -4.6% to -2.1%), amygdala (-2.7%, 95% CI -4.1% to -1.3%), entorhinal cortex (-4.1%, 95% CI -6.0% to -2.2%), and hippocampus (-3.8%, 95% CI -5.2% to -2.4%) compared to participants who were in the lowest 80th percentile for decline in all domains. In contrast, among participants who were in the top 20th percentile for decline in the language or executive function domains, GM volumes were smaller in more brain regions. CONCLUSIONS Declines in memory function were associated with brain volume loss in the medial temporal and hippocampal formations. Declines in language and executive function were associated with decreases in brain volumes across more noncontiguous brain regions.
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Affiliation(s)
- Andrea L C Schneider
- From the Department of Neurology (A.L.C.S., R.F.G.), Johns Hopkins University School of Medicine, Baltimore, MD; Departments of Radiology (M.L.S., J.L.G., C.G.S. C.R.J.), Information Technology (M.L.S., J.L.G.), and Neurology (D.S.K.), Mayo Clinic, Rochester, MN; Department of Epidemiology (A.W., A.G., R.F.G., A.R.S.), Johns Hopkins University Bloomberg School of Public Health; Johns Hopkins University Center on Aging and Health (A.G.), Baltimore, MD; and Department of Geriatrics (T.H.M.), University of Mississippi Medical Center, Jackson.
| | - Matthew L Senjem
- From the Department of Neurology (A.L.C.S., R.F.G.), Johns Hopkins University School of Medicine, Baltimore, MD; Departments of Radiology (M.L.S., J.L.G., C.G.S. C.R.J.), Information Technology (M.L.S., J.L.G.), and Neurology (D.S.K.), Mayo Clinic, Rochester, MN; Department of Epidemiology (A.W., A.G., R.F.G., A.R.S.), Johns Hopkins University Bloomberg School of Public Health; Johns Hopkins University Center on Aging and Health (A.G.), Baltimore, MD; and Department of Geriatrics (T.H.M.), University of Mississippi Medical Center, Jackson
| | - Aozhou Wu
- From the Department of Neurology (A.L.C.S., R.F.G.), Johns Hopkins University School of Medicine, Baltimore, MD; Departments of Radiology (M.L.S., J.L.G., C.G.S. C.R.J.), Information Technology (M.L.S., J.L.G.), and Neurology (D.S.K.), Mayo Clinic, Rochester, MN; Department of Epidemiology (A.W., A.G., R.F.G., A.R.S.), Johns Hopkins University Bloomberg School of Public Health; Johns Hopkins University Center on Aging and Health (A.G.), Baltimore, MD; and Department of Geriatrics (T.H.M.), University of Mississippi Medical Center, Jackson
| | - Alden Gross
- From the Department of Neurology (A.L.C.S., R.F.G.), Johns Hopkins University School of Medicine, Baltimore, MD; Departments of Radiology (M.L.S., J.L.G., C.G.S. C.R.J.), Information Technology (M.L.S., J.L.G.), and Neurology (D.S.K.), Mayo Clinic, Rochester, MN; Department of Epidemiology (A.W., A.G., R.F.G., A.R.S.), Johns Hopkins University Bloomberg School of Public Health; Johns Hopkins University Center on Aging and Health (A.G.), Baltimore, MD; and Department of Geriatrics (T.H.M.), University of Mississippi Medical Center, Jackson
| | - David S Knopman
- From the Department of Neurology (A.L.C.S., R.F.G.), Johns Hopkins University School of Medicine, Baltimore, MD; Departments of Radiology (M.L.S., J.L.G., C.G.S. C.R.J.), Information Technology (M.L.S., J.L.G.), and Neurology (D.S.K.), Mayo Clinic, Rochester, MN; Department of Epidemiology (A.W., A.G., R.F.G., A.R.S.), Johns Hopkins University Bloomberg School of Public Health; Johns Hopkins University Center on Aging and Health (A.G.), Baltimore, MD; and Department of Geriatrics (T.H.M.), University of Mississippi Medical Center, Jackson
| | - Jeffrey L Gunter
- From the Department of Neurology (A.L.C.S., R.F.G.), Johns Hopkins University School of Medicine, Baltimore, MD; Departments of Radiology (M.L.S., J.L.G., C.G.S. C.R.J.), Information Technology (M.L.S., J.L.G.), and Neurology (D.S.K.), Mayo Clinic, Rochester, MN; Department of Epidemiology (A.W., A.G., R.F.G., A.R.S.), Johns Hopkins University Bloomberg School of Public Health; Johns Hopkins University Center on Aging and Health (A.G.), Baltimore, MD; and Department of Geriatrics (T.H.M.), University of Mississippi Medical Center, Jackson
| | - Christopher G Schwarz
- From the Department of Neurology (A.L.C.S., R.F.G.), Johns Hopkins University School of Medicine, Baltimore, MD; Departments of Radiology (M.L.S., J.L.G., C.G.S. C.R.J.), Information Technology (M.L.S., J.L.G.), and Neurology (D.S.K.), Mayo Clinic, Rochester, MN; Department of Epidemiology (A.W., A.G., R.F.G., A.R.S.), Johns Hopkins University Bloomberg School of Public Health; Johns Hopkins University Center on Aging and Health (A.G.), Baltimore, MD; and Department of Geriatrics (T.H.M.), University of Mississippi Medical Center, Jackson
| | - Thomas H Mosley
- From the Department of Neurology (A.L.C.S., R.F.G.), Johns Hopkins University School of Medicine, Baltimore, MD; Departments of Radiology (M.L.S., J.L.G., C.G.S. C.R.J.), Information Technology (M.L.S., J.L.G.), and Neurology (D.S.K.), Mayo Clinic, Rochester, MN; Department of Epidemiology (A.W., A.G., R.F.G., A.R.S.), Johns Hopkins University Bloomberg School of Public Health; Johns Hopkins University Center on Aging and Health (A.G.), Baltimore, MD; and Department of Geriatrics (T.H.M.), University of Mississippi Medical Center, Jackson
| | - Rebecca F Gottesman
- From the Department of Neurology (A.L.C.S., R.F.G.), Johns Hopkins University School of Medicine, Baltimore, MD; Departments of Radiology (M.L.S., J.L.G., C.G.S. C.R.J.), Information Technology (M.L.S., J.L.G.), and Neurology (D.S.K.), Mayo Clinic, Rochester, MN; Department of Epidemiology (A.W., A.G., R.F.G., A.R.S.), Johns Hopkins University Bloomberg School of Public Health; Johns Hopkins University Center on Aging and Health (A.G.), Baltimore, MD; and Department of Geriatrics (T.H.M.), University of Mississippi Medical Center, Jackson
| | - A Richey Sharrett
- From the Department of Neurology (A.L.C.S., R.F.G.), Johns Hopkins University School of Medicine, Baltimore, MD; Departments of Radiology (M.L.S., J.L.G., C.G.S. C.R.J.), Information Technology (M.L.S., J.L.G.), and Neurology (D.S.K.), Mayo Clinic, Rochester, MN; Department of Epidemiology (A.W., A.G., R.F.G., A.R.S.), Johns Hopkins University Bloomberg School of Public Health; Johns Hopkins University Center on Aging and Health (A.G.), Baltimore, MD; and Department of Geriatrics (T.H.M.), University of Mississippi Medical Center, Jackson
| | - Clifford R Jack
- From the Department of Neurology (A.L.C.S., R.F.G.), Johns Hopkins University School of Medicine, Baltimore, MD; Departments of Radiology (M.L.S., J.L.G., C.G.S. C.R.J.), Information Technology (M.L.S., J.L.G.), and Neurology (D.S.K.), Mayo Clinic, Rochester, MN; Department of Epidemiology (A.W., A.G., R.F.G., A.R.S.), Johns Hopkins University Bloomberg School of Public Health; Johns Hopkins University Center on Aging and Health (A.G.), Baltimore, MD; and Department of Geriatrics (T.H.M.), University of Mississippi Medical Center, Jackson
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Tan B, Venketasubramanian N, Vrooman H, Cheng CY, Wong TY, Chen C, Hilal S. Haemoglobin, magnetic resonance imaging markers and cognition: a subsample of population-based study. ALZHEIMERS RESEARCH & THERAPY 2018; 10:114. [PMID: 30400991 PMCID: PMC6220511 DOI: 10.1186/s13195-018-0440-5] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 07/03/2018] [Accepted: 10/11/2018] [Indexed: 02/08/2023]
Abstract
Background Low haemoglobin is highly prevalent among the elderly and has been associated with dementia. However, the mechanisms underlying this association with cognitive dysfunction, either through cerebrovascular disease or neurodegeneration, remain poorly understood. We aimed to examine the association of decreased haemoglobin levels with markers of cerebral small vessel disease (CSVD), neurodegeneration and cognitive impairment in an elderly Asian population. Methods A total of 796 Chinese, Malay and Indian participants aged 60 years and older from the Epidemiology of Dementia in Singapore study were included in this study. After providing information on demographics, anthropometry and cardiovascular risk factors, participants underwent 3-T brain magnetic resonance imaging (MRI) to measure markers of CSVD, including cerebral microbleeds, cortical cerebral microinfarcts, lacunes, enlarged perivascular spaces and white matter hyperintensities, as well as neurodegenerative markers, including cortical thickness and subcortical structure volumes quantified using FreeSurfer. Cognition was assessed using a detailed neuropsychological assessment. Logistic and linear regression models were constructed, adjusting for age, gender, education, race, body mass index, smoking, hypertension, hyperlipidaemia, diabetes, glomerular filtration rate and other MRI markers, to test the association between haemoglobin levels and the MRI markers and cognition. Results Decreased haemoglobin levels were associated with cerebral microbleeds, specifically lobar microbleeds (OR, 1.21; 95% CI, 1.04–1.40; p = 0.015). Decreased haemoglobin levels were also associated with occipital cortical thinning (mean difference, − 0.011; 95% CI, − 0.019, − 0.004; p = 0.003) and smaller accumbens volume (mean difference, − 0.01; 95% CI, − 0.02, 0.00; p = 0.005). A significant association was also observed between decreased haemoglobin levels and poorer global cognitive performance (mean difference, − 0.04; 95% CI, − 0.09, 0.00; p = 0.048). In cognitive domain analysis, associations were again observed between decreased haemoglobin levels and worse performance on attention (mean difference, − 0.05; 95% CI, − 0.10, − 0.01; p = 0.028) and language (mean difference, − 0.06; 95% CI, − 0.12, 0.00; p = 0.048) domains; however, these associations did not survive multiple comparison. Conclusions Decreased haemoglobin levels were associated with lobar microbleeds, neurodegenerative markers and cognitive dysfunction. Future studies should ascertain whether iron, folate or vitamin B12 supplementation is able to ameliorate the onset and progression of cognitive impairment and dementia associated with low haemoglobin.
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Affiliation(s)
- Bryce Tan
- Memory Ageing and Cognition Centre (MACC), National University Health System, Singapore, Singapore
| | | | - Henri Vrooman
- Departments of Radiology & Medical Informatics, Erasmus University Medical Centre, Rotterdam, The Netherlands
| | - Ching-Yu Cheng
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore.,Academic Medicine Research Institute, Duke-NUS Graduate Medical School, Singapore, Singapore
| | - Tien Yin Wong
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore.,Academic Medicine Research Institute, Duke-NUS Graduate Medical School, Singapore, Singapore
| | - Christopher Chen
- Memory Ageing and Cognition Centre (MACC), National University Health System, Singapore, Singapore.,Department of Pharmacology, Yong Loo Lin School of Medicine, National University of Singapore, Level 4, Block MD3, 16 Medical Drive, Singapore, 117600, Singapore
| | - Saima Hilal
- Memory Ageing and Cognition Centre (MACC), National University Health System, Singapore, Singapore. .,Department of Pharmacology, Yong Loo Lin School of Medicine, National University of Singapore, Level 4, Block MD3, 16 Medical Drive, Singapore, 117600, Singapore. .,Departments of Epidemiology and Radiology and Nuclear Medicine, Erasmus University Medical Centre, Rotterdam, the Netherlands.
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Basal ganglia shrinkage without remarkable hippocampal atrophy in chronic aviremic HIV-positive patients. J Neurovirol 2018; 24:478-487. [PMID: 29687405 DOI: 10.1007/s13365-018-0635-3] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2017] [Revised: 03/20/2018] [Accepted: 03/27/2018] [Indexed: 10/17/2022]
Abstract
Conventional magnetic-resonance (MR) imaging is not sensitive enough in depicting subtle neurodegenerative changes that occur during chronic HIV infection with good peripheral viral suppression. The aim of this study was to compare brain volumes in HIV-positive subjects with age- and education-matched healthy controls with regard to influence of aging and immunologic parameters. An overall of 65 subjects (40 HIV-positive and 25 age-, gender-, and education-matched healthy subjects) underwent conventional MR imaging with three-dimensional sequence adequate for volumetric measurements. Volumes of specific brain regions were measured and compared between HIV-positive and healthy subjects using Student t test. Correlations between obtained brain volumes and immunologic parameters were determined using Pearson's correlation test. Influence of age as a covariate was determined using ANCOVA test. Statistical value was set at p < 0.05. Volumes of nucleus accumbens (p = 0.003), putamen (p = 0.003), and thalamus (p = 0.046) were significantly decreased in HIV-positive subjects compared with healthy, while volumes of lateral ventricles were significantly increased (p = 0.043). However, influence of age on atrophy was greater than presence of HIV infection in all observed volumes. Positive correlation of nadir CD4+ count and nucleus accumbens volume was obtained, as well as of therapy with lateral ventricle volumes. Volumes of putamen correlated negatively with duration of therapy. HIV-associated atrophic changes are visible in nucleus accumbens, putamen, and thalamus in neurocognitively asymptomatic stage, while no changes can be observed in the hippocampus, affected by other types of dementias. Under therapy, the influence of physiological aging on HIV-associated atrophy is greater than the presence of HIV infection per se.
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Abstract
The term vascular cognitive impairment (VCI) was introduced around the start of the new millennium and refers to the contribution of vascular pathology to any severity of cognitive impairment, ranging from subjective cognitive decline and mild cognitive impairment to dementia. Although vascular pathology is common in elderly individuals with cognitive decline, pure vascular dementia (that is, dementia caused solely by vascular pathology) is uncommon. Indeed, most patients with vascular dementia also have other types of pathology, the most common of which is Alzheimer disease (specifically, the diffuse accumulation of amyloid-β plaques and neurofibrillary tangles composed of tau). At present, the main treatment for VCI is prevention by treating vascular diseases and other risk factors for VCI, such as hypertension and diabetes mellitus. Despite the current paucity of disease-modifying pharmacological treatments, we foresee that eventually, we might be able to target specific brain diseases to prevent cognitive decline and dementia.
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Lang B, Kindy MS, Kozel FA, Schultz SK, Taheri S. Multi-Parametric Classification of Vascular Cognitive Impairment and Dementia: The Impact of Diverse Cerebrovascular Injury Biomarkers. J Alzheimers Dis 2018; 62:39-60. [DOI: 10.3233/jad-170733] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Affiliation(s)
- Brittany Lang
- Clinical Psychology Program, University of South Florida, Tampa, FL, USA
| | - Mark S. Kindy
- Department of Pharmaceutical Sciences, College of Pharmacy, University of South Florida Tampa, FL, USA
- James A. Haley VA Medical Center, Tampa, FL, USA
| | - F. Andrew Kozel
- James A. Haley VA Medical Center, Tampa, FL, USA
- Psychiatry and Behavioral Sciences, University of South Florida, Tampa, FL, USA
| | - Susan K. Schultz
- James A. Haley VA Medical Center, Tampa, FL, USA
- Psychiatry and Behavioral Sciences, University of South Florida, Tampa, FL, USA
| | - Saeid Taheri
- Department of Pharmaceutical Sciences, College of Pharmacy, University of South Florida Tampa, FL, USA
- Byrd Alzheimer’s Institute, Tampa, FL, USA
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Nie X, Sun Y, Wan S, Zhao H, Liu R, Li X, Wu S, Nedelska Z, Hort J, Qing Z, Xu Y, Zhang B. Subregional Structural Alterations in Hippocampus and Nucleus Accumbens Correlate with the Clinical Impairment in Patients with Alzheimer's Disease Clinical Spectrum: Parallel Combining Volume and Vertex-Based Approach. Front Neurol 2017; 8:399. [PMID: 28861033 PMCID: PMC5559429 DOI: 10.3389/fneur.2017.00399] [Citation(s) in RCA: 39] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2017] [Accepted: 07/25/2017] [Indexed: 11/13/2022] Open
Abstract
Deep gray matter structures are associated with memory and other important functions that are impaired in Alzheimer's disease (AD) and mild cognitive impairment (MCI). However, systematic characterization of the subregional atrophy and deformations in these structures in AD and MCI still need more investigations. In this article, we combined complex volumetry- and vertex-based analysis to investigate the pattern of subregional structural alterations in deep gray matter structures and its association with global clinical scores in AD (n = 30) and MCI patients (n = 30), compared to normal controls (NCs, n = 30). Among all seven pairs of structures, the bilateral hippocampi and nucleus accumbens showed significant atrophy in AD compared with NCs (p < 0.05). But only the subregional atrophy in the dorsal-medial part of the left hippocampus, the ventral part of right hippocampus, and the left nucleus accumbens, the posterior part of the right nucleus accumbens correlated with the worse clinical scores of MMSE and MOCA (p < 0.05). Furthermore, the medial-ventral part of right thalamus significantly shrank and correlated with clinical scores without decreasing in its whole volume (p > 0.05). In conclusion, the atrophy of these four subregions in bilateral hippocampi and nucleus accumbens was associated with cognitive impairment of patients, which might be potential target regions of treatment in AD. The surface analysis could provide additional information to volume comparison in finding the early pathological progress in deep gray matter structures.
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Affiliation(s)
- Xiuling Nie
- State Key laboratory of Bioelectronics, School of Biological Sciences and Medical Engineering, Southeast University, Nanjing, China
| | - Yu Sun
- State Key laboratory of Bioelectronics, School of Biological Sciences and Medical Engineering, Southeast University, Nanjing, China
- Institute of Cancer and Genetic Science, University of Birmingham, Birmingham, United Kingdom
| | - Suiren Wan
- State Key laboratory of Bioelectronics, School of Biological Sciences and Medical Engineering, Southeast University, Nanjing, China
| | - Hui Zhao
- Department of Neurology, Affiliated Drum Tower Hospital of Nanjing University Medical School, Nanjing, China
| | - Renyuan Liu
- Department of Radiology, Affiliated Drum Tower Hospital of Nanjing University Medical School, Nanjing, China
| | - Xueping Li
- Department of Radiology, Affiliated Drum Tower Hospital of Nanjing University Medical School, Nanjing, China
| | - Sichu Wu
- Department of Radiology, Affiliated Drum Tower Hospital of Nanjing University Medical School, Nanjing, China
| | - Zuzana Nedelska
- Department of Neurology, Memory Clinic, 2nd Faculty of Medicine, Charles University in Prague, Motol University Hospital, Prague, Czechia
- International Clinical Research Center, St. Anne’s University Hospital Brno, Brno, Czech Republic
| | - Jakub Hort
- Department of Neurology, Memory Clinic, 2nd Faculty of Medicine, Charles University in Prague, Motol University Hospital, Prague, Czechia
- International Clinical Research Center, St. Anne’s University Hospital Brno, Brno, Czech Republic
| | - Zhao Qing
- Department of Radiology, Affiliated Drum Tower Hospital of Nanjing University Medical School, Nanjing, China
| | - Yun Xu
- Department of Neurology, Affiliated Drum Tower Hospital of Nanjing University Medical School, Nanjing, China
| | - Bing Zhang
- Department of Radiology, Affiliated Drum Tower Hospital of Nanjing University Medical School, Nanjing, China
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Geng S, Liu N, Meng P, Ji N, Sun Y, Xu Y, Zhang G, He X, Cai Z, Wang B, Xu B, Li Z, Niu X, Zhang Y, Xu B, Zhou X, He M. Midterm Blood Pressure Variability Is Associated with Poststroke Cognitive Impairment: A Prospective Cohort Study. Front Neurol 2017; 8:365. [PMID: 28804475 PMCID: PMC5532726 DOI: 10.3389/fneur.2017.00365] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2017] [Accepted: 07/11/2017] [Indexed: 01/27/2023] Open
Abstract
Objective The aim of this study was to investigate the relationship between blood pressure variability (BPV) and poststroke cognitive impairment (PSCI). Methods Seven-hundred ninety-six patients with acute ischemic stroke were included in this study. Midterm BPV was evaluated by calculating the SD and coefficient of variation (CV, 100 × SD/mean) of systolic blood pressure (SBP) and diastolic blood pressure during the 7 days after stroke onset. Cognitive function was assessed using the Montreal Cognitive Assessment (MoCA) at admission and at all follow-up visits. Patients with MoCA scores <26 were considered to have PSCI. Results The incidence of PSCI reached its peak (72%) 3 months after stroke onset and decreased to 30.3% at 12 months poststroke. After adjusting for covariables, the increase in the prevalence of PSCI at 3 months was independently associated with increases in the CV of blood pressure during the 7 days after stroke [odds ratios and 95% CI for patients in the second to fifth quintiles of SBP CV were 2.28 (1.18, 4.39), 2.33 (1.18, 4.62), 2.69 (1.31, 5.53), and 4.76 (1.95, 11.67), respectively]. Sub-analysis of the MoCA scores revealed that the patients had impairments in visuoperceptual abilities and executive functions, as well as in naming and delayed recall (p < 0.05). Conclusion Midterm BPV during the early phase of acute ischemic stroke is independently associated with PSCI, especially in the visuoperceptual, executive, and delayed recall domains. Clinical Trial Registration http://www.chictr.org.cn, identifier ChiCTR-TRC-14004804.
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Affiliation(s)
- Shan Geng
- Department of Neurology, The Affiliated Lianyungang Hospital of Xuzhou Medical University, Lianyungang, China
| | - Na Liu
- Department of Neurology, The Affiliated Lianyungang Hospital of Xuzhou Medical University, Lianyungang, China
| | - Pin Meng
- Department of Neurology, The Affiliated Lianyungang Hospital of Xuzhou Medical University, Lianyungang, China
| | - Niu Ji
- Department of Neurology, The Affiliated Lianyungang Hospital of Xuzhou Medical University, Lianyungang, China
| | - Yong'an Sun
- Department of Neurology, The Affiliated Lianyungang Hospital of Xuzhou Medical University, Lianyungang, China
| | - Yingda Xu
- Department of Neurology, The Affiliated Lianyungang Hospital of Xuzhou Medical University, Lianyungang, China
| | - Guanghui Zhang
- Department of Neurology, The Affiliated Lianyungang Hospital of Xuzhou Medical University, Lianyungang, China
| | - Xiaobing He
- Department of Neurology, The Affiliated Lianyungang Hospital of Xuzhou Medical University, Lianyungang, China
| | - Zenglin Cai
- Department of Neurology, The Affiliated Lianyungang Hospital of Xuzhou Medical University, Lianyungang, China
| | - Bei Wang
- Department of Neurology, The Affiliated Lianyungang Hospital of Xuzhou Medical University, Lianyungang, China
| | - Bei Xu
- Department of Neurology, The Affiliated Lianyungang Hospital of Xuzhou Medical University, Lianyungang, China
| | - Zaipo Li
- Department of Neurology, The Affiliated Lianyungang Hospital of Xuzhou Medical University, Lianyungang, China
| | - Xiaoqin Niu
- Department of Neurology, The Affiliated Lianyungang Hospital of Xuzhou Medical University, Lianyungang, China
| | - Yongjin Zhang
- Department of Neurology, The Affiliated Lianyungang Hospital of Xuzhou Medical University, Lianyungang, China
| | - Bingchao Xu
- Department of Neurology, The Affiliated Lianyungang Hospital of Xuzhou Medical University, Lianyungang, China
| | - Xinyu Zhou
- Department of Neurology, The Affiliated Lianyungang Hospital of Xuzhou Medical University, Lianyungang, China
| | - Mingli He
- Department of Neurology, The Affiliated Lianyungang Hospital of Xuzhou Medical University, Lianyungang, China
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Shaik MA, Venketasubramanian N, Cheng CY, Wong TY, Vrooman H, Ikram MK, Hilal S, Chen C. Ankle brachial index, MRI markers and cognition: The Epidemiology of Dementia in Singapore study. Atherosclerosis 2017; 263:272-277. [PMID: 28709046 DOI: 10.1016/j.atherosclerosis.2017.07.002] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/28/2017] [Revised: 06/05/2017] [Accepted: 07/04/2017] [Indexed: 10/19/2022]
Abstract
BACKGROUND AND AIMS Previous studies showed an independent association of low ankle-brachial index (ABI) with cognitive impairment. However, the association between low ABI and cognition in the presence of both cerebrovascular disease (CeVD) and neurodegeneration is lacking. We aimed at investigating a) the association of low ABI with markers of CeVD and cortical thickness, and b) whether the association of low ABI with cognition is influenced by these markers. METHODS Data was drawn from the Epidemiology of Dementia In Singapore (EDIS) study where all participants (n = 832) underwent neuropsychological tests and 3T brain magnetic resonance imaging (MRI) to assess CeVD markers as well as cortical thicknesses. Cognitive function was expressed as a global composite z-score and domain-specific z-scores of a comprehensive neuropsychological battery. RESULTS Multivariate analyses showed low ABI to be independently associated with intracranial stenosis [odds ratios (OR): 1.51; 95% confidence interval (CI):1.23-1.87] and lacunar infarcts [OR: 1.29; 95% CI: 1.06-1.57]. A low ABI was also independently associated with smaller cortical thickness globally [β: 0.09; 95% CI: 0.27-0.16] as well as with the limbic [β: 0.10; 95% CI: 0.03-0.17], temporal [β: 0.09; 95% CI: 0.02-0.15], parietal [β: 0.08; 95% CI: 0.02-0.15], and occipital [β: 0.09; 95% CI: 0.03-0.16] lobes. Low ABI was associated with worse performance in verbal memory [β: 0.06; 95% CI: 0.01-0.12], which became attenuated in the presence of MRI markers. CONCLUSIONS A low ABI is associated with MRI markers, and affects cognition in the presence of CeVD and neurodegeneration. Atherosclerosis should be targeted as a potentially modifiable risk factor to prevent cognitive disorders.
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Affiliation(s)
- Muhammad Amin Shaik
- Memory Aging & Cognition Centre, National University Health System, Singapore; Department of Pharmacology, National University of Singapore, Singapore
| | | | - Ching-Yu Cheng
- Singapore Eye Research Institute, Singapore National Eye Center, Singapore
| | - Tien Yin Wong
- Singapore Eye Research Institute, Singapore National Eye Center, Singapore; Academic Medicine Research Institute, Duke-NUS Graduate Medical School, Singapore
| | - Henri Vrooman
- Departments of Radiology and Medical Informatics, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Mohammad Kamran Ikram
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands; Department of Neurology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Saima Hilal
- Memory Aging & Cognition Centre, National University Health System, Singapore; Department of Pharmacology, National University of Singapore, Singapore; Department of Radiology and Nuclear Medicine, Erasmus Medical Center, Rotterdam, The Netherlands; Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands.
| | - Christopher Chen
- Memory Aging & Cognition Centre, National University Health System, Singapore; Department of Pharmacology, National University of Singapore, Singapore
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Hilal S, Chai YL, van Veluw S, Shaik MA, Ikram MK, Venketasubramanian N, Richards AM, Biessels GJ, Chen C. Association Between Subclinical Cardiac Biomarkers and Clinically Manifest Cardiac Diseases With Cortical Cerebral Microinfarcts. JAMA Neurol 2017; 74:403-410. [PMID: 28166312 DOI: 10.1001/jamaneurol.2016.5335] [Citation(s) in RCA: 51] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
Importance Subclinical and clinical cardiac diseases have been previously linked to magnetic resonance imaging (MRI) manifestations of cerebrovascular disease, such as lacunes and white matter hyperintensities, as well as dementia. Cortical cerebral microinfarcts (CMIs), a novel MRI marker of cerebral vascular disease, have not been studied, to date, in relation to subclinical and clinical cardiac diseases. Objective To examine the association of blood biomarkers of subclinical cardiac disease and clinically manifest cardiac diseases with CMIs graded on 3-T MRI in a memory clinic population. Design, Setting, and Participants This baseline cross-sectional analysis of a cohort study performed from August 12, 2010, to July 28, 2015, included 464 memory clinic participants. All participants underwent collection of blood samples, neuropsychological assessment, and 3-T MRI. Exposures N-terminal pro-brain natriuretic peptide (NT-proBNP) and high-sensitivity cardiac troponin T (hs-cTnT) concentrations were measured by electrochemiluminescence immunoassays. Cardiac disease was defined as a history of atrial fibrillation, ischemic heart diseases, or congestive heart failure. Main Outcomes and Measures The CMIs were graded according to a previously validated protocol. Results Of 464 participants, 124 had insufficient blood plasma samples and 97 had no CMI grading (none, incomplete, or ungradable MRI), leaving a sample size of 243 for final analysis (mean [SD] age, 72.8 [9.1] years; 116 men [42.9%]). Seventy participants (28.8%) had cortical CMIs (median, 1; range, 0-43). Compared with participants with no CMIs, those with CMIs had a significantly higher prevalence of atrial fibrillation (rate ratio [RR], 1.62; 95% CI, 1.20-21.8), ischemic heart disease (RR, 4.31; 95% CI, 3.38-5.49), and congestive heart failure (RR, 2.05; 95% CI, 1.29-3.25). Significantly higher levels of NT-proBNP (RR, 3.16; 95% CI, 2.33-4.27) and hs-cTnT (RR, 2.17; 95% CI, 1.00-4.74) were found in participants with CMIs. In multivariate models adjusted for demographics and vascular risk factors, higher levels of NT-proBNP (RR, 3.19; 95% CI, 2.62-3.90) and hs-cTnT (RR, 4.86; 95% CI, 3.03-7.08) were associated with CMIs. These associations persisted even after excluding patients with clinically manifest cardiac disease. Conclusions and Relevance This study found that biomarkers of subclinical cardiac disease and clinically manifest cardiac diseases were associated with CMIs on 3-T MRI in patients attending a memory clinic, suggesting that cardiac disease may contribute to the development of CMIs. Hence, cardiac dysfunction should be targeted as a potentially modifiable factor to prevent CMI-related brain injury.
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Affiliation(s)
- Saima Hilal
- Department of Pharmacology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore2Memory Aging and Cognition Center, National University Health System, Singapore3Department of Radiology and Epidemiology, Erasmus Medical Center, Rotterdam, the Netherlands
| | - Yuek Ling Chai
- Department of Pharmacology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore2Memory Aging and Cognition Center, National University Health System, Singapore
| | - Susanne van Veluw
- Department of Neurology, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Muhammad Amin Shaik
- Department of Pharmacology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore2Memory Aging and Cognition Center, National University Health System, Singapore
| | - Mohammad Kamran Ikram
- Department of Neurology and Epidemiology, Erasmus Medical Center, Rotterdam, the Netherlands
| | | | | | - Geert Jan Biessels
- Department of Neurology, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Christopher Chen
- Department of Pharmacology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore2Memory Aging and Cognition Center, National University Health System, Singapore
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