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Hu Y, Zhang F, Ikonomovic M, Yang T. The Role of NRF2 in Cerebrovascular Protection: Implications for Vascular Cognitive Impairment and Dementia (VCID). Int J Mol Sci 2024; 25:3833. [PMID: 38612642 PMCID: PMC11012233 DOI: 10.3390/ijms25073833] [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: 02/03/2024] [Revised: 03/20/2024] [Accepted: 03/22/2024] [Indexed: 04/14/2024] Open
Abstract
Vascular cognitive impairment and dementia (VCID) represents a broad spectrum of cognitive decline secondary to cerebral vascular aging and injury. It is the second most common type of dementia, and the prevalence continues to increase. Nuclear factor erythroid 2-related factor 2 (NRF2) is enriched in the cerebral vasculature and has diverse roles in metabolic balance, mitochondrial stabilization, redox balance, and anti-inflammation. In this review, we first briefly introduce cerebrovascular aging in VCID and the NRF2 pathway. We then extensively discuss the effects of NRF2 activation in cerebrovascular components such as endothelial cells, vascular smooth muscle cells, pericytes, and perivascular macrophages. Finally, we summarize the clinical potential of NRF2 activators in VCID.
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Affiliation(s)
- Yizhou Hu
- Department of Neurology, University of Pittsburgh, Pittsburgh, PA 15216, USA; (Y.H.); (F.Z.); (M.I.)
- Pittsburgh Institute of Brain Disorders and Recovery, University of Pittsburgh, Pittsburgh, PA 15216, USA
- Department of Internal Medicine, University of Pittsburgh Medical Center (UPMC) McKeesport, McKeesport, PA 15132, USA
| | - Feng Zhang
- Department of Neurology, University of Pittsburgh, Pittsburgh, PA 15216, USA; (Y.H.); (F.Z.); (M.I.)
- Pittsburgh Institute of Brain Disorders and Recovery, University of Pittsburgh, Pittsburgh, PA 15216, USA
| | - Milos Ikonomovic
- Department of Neurology, University of Pittsburgh, Pittsburgh, PA 15216, USA; (Y.H.); (F.Z.); (M.I.)
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA 15216, USA
- Geriatric Research Education and Clinical Center, VA Pittsburgh Healthcare System, Pittsburgh, PA 15240, USA
| | - Tuo Yang
- Department of Neurology, University of Pittsburgh, Pittsburgh, PA 15216, USA; (Y.H.); (F.Z.); (M.I.)
- Pittsburgh Institute of Brain Disorders and Recovery, University of Pittsburgh, Pittsburgh, PA 15216, USA
- Department of Internal Medicine, University of Pittsburgh Medical Center (UPMC), Pittsburgh, PA 15216, USA
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2
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Obis E, Sol J, Andres-Benito P, Martín-Gari M, Mota-Martorell N, Galo-Licona JD, Piñol-Ripoll G, Portero-Otin M, Ferrer I, Jové M, Pamplona R. Lipidomic Alterations in the Cerebral Cortex and White Matter in Sporadic Alzheimer's Disease. Aging Dis 2023; 14:1887-1916. [PMID: 37196109 PMCID: PMC10529741 DOI: 10.14336/ad.2023.0217] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2022] [Accepted: 02/17/2023] [Indexed: 05/19/2023] Open
Abstract
Non-targeted LC-MS/MS-based lipidomic analysis was conducted in post-mortem human grey matter frontal cortex area 8 (GM) and white matter of the frontal lobe centrum semi-ovale (WM) to identify lipidome fingerprints in middle-aged individuals with no neurofibrillary tangles and senile plaques, and cases at progressive stages of sporadic Alzheimer's disease (sAD). Complementary data were obtained using RT-qPCR and immunohistochemistry. The results showed that WM presents an adaptive lipid phenotype resistant to lipid peroxidation, characterized by a lower fatty acid unsaturation, peroxidizability index, and higher ether lipid content than the GM. Changes in the lipidomic profile are more marked in the WM than in GM in AD with disease progression. Four functional categories are associated with the different lipid classes affected in sAD: membrane structural composition, bioenergetics, antioxidant protection, and bioactive lipids, with deleterious consequences affecting both neurons and glial cells favoring disease progression.
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Affiliation(s)
- Elia Obis
- Department of Experimental Medicine, Lleida University (UdL), Lleida Biomedical Research Institute (IRBLleida), Lleida, Spain.
| | - Joaquim Sol
- Department of Experimental Medicine, Lleida University (UdL), Lleida Biomedical Research Institute (IRBLleida), Lleida, Spain.
- Catalan Institute of Health (ICS), Lleida, Spain, Research Support Unit (USR), Fundació Institut Universitari per a la Recerca en Atenció Primària de Salut Jordi Gol i Gurina (IDIAP JGol), Lleida, Spain.
| | - Pol Andres-Benito
- CIBERNED (Network Centre of Biomedical Research of Neurodegenerative Diseases), Institute of Health Carlos III, Ministry of Economy and Competitiveness, Madrid, Spain.
- Bellvitge University Hospital-Bellvitge Biomedical Research Institute (IDIBELL), E-08907 Hospitalet de Llobregat, Barcelona, Spain.
| | - Meritxell Martín-Gari
- Department of Experimental Medicine, Lleida University (UdL), Lleida Biomedical Research Institute (IRBLleida), Lleida, Spain.
| | - Natàlia Mota-Martorell
- Department of Experimental Medicine, Lleida University (UdL), Lleida Biomedical Research Institute (IRBLleida), Lleida, Spain.
| | - José Daniel Galo-Licona
- Department of Experimental Medicine, Lleida University (UdL), Lleida Biomedical Research Institute (IRBLleida), Lleida, Spain.
| | - Gerard Piñol-Ripoll
- Unitat Trastorns Cognitius, Clinical Neuroscience Research, Santa Maria University Hospital, IRBLleida, Lleida, Spain.
| | - Manuel Portero-Otin
- Department of Experimental Medicine, Lleida University (UdL), Lleida Biomedical Research Institute (IRBLleida), Lleida, Spain.
| | - Isidro Ferrer
- CIBERNED (Network Centre of Biomedical Research of Neurodegenerative Diseases), Institute of Health Carlos III, Ministry of Economy and Competitiveness, Madrid, Spain.
- Bellvitge University Hospital-Bellvitge Biomedical Research Institute (IDIBELL), E-08907 Hospitalet de Llobregat, Barcelona, Spain.
- Department of Pathology and Experimental Therapeutics, University of Barcelona, L’Hospitalet de Llobregat, Barcelona, Spain.
| | - Mariona Jové
- Department of Experimental Medicine, Lleida University (UdL), Lleida Biomedical Research Institute (IRBLleida), Lleida, Spain.
| | - Reinald Pamplona
- Department of Experimental Medicine, Lleida University (UdL), Lleida Biomedical Research Institute (IRBLleida), Lleida, Spain.
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Kindler C, Upadhyay N, Bendella Z, Dorn F, Keil VC, Petzold GC. Independent and additive contribution of white matter hyperintensities and Alzheimer's disease pathology to basal forebrain cholinergic system degeneration. Neuroimage Clin 2023; 39:103477. [PMID: 37478584 PMCID: PMC10387606 DOI: 10.1016/j.nicl.2023.103477] [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: 02/15/2023] [Revised: 06/30/2023] [Accepted: 07/12/2023] [Indexed: 07/23/2023]
Abstract
OBJECTIVES Degeneration of the cholinergic basal forebrain nuclei (CBFN) system has been studied extensively in Alzheimer's disease (AD). White matter hyperintensities are a hallmark of aging as well as a common co-morbidity of AD, but their contribution to CBFN degeneration has remained unclear. Therefore, we explored the influence of white matter hyperintensities within cholinergic subcortical-cortical projection pathways on CBFN volumes and regional gray matter volumes in AD and age- and gender-matched controls. METHODS We analyzed magnetic resonance images (MRI) from 42 patients with AD and 87 age- and gender-matched control subjects. We assessed the white matter hyperintensity burden within the cholinergic projection pathways using the Cholinergic Pathways Hyperintensities Scale (CHIPS), and applied probabilistic anatomical maps for the analysis of CBFN volumes, i.e. the Ch1-3 compartment and the Ch4 cell group (nucleus basalis of Meynert), by diffeomorphic anatomical registration using exponentiated lie algebra analysis of voxel-based morphometry. Using multiple linear regression analyses, we explored correlations between regional gray matter volumes and the extent of white matter hyperintensities or CBFN volumes in both groups. RESULTS In AD, all CBFN volumes were significantly smaller than in controls, and white matter hyperintensity burden within the cholinergic projection pathways was not correlated with CBFN volume. In controls, white matter hyperintensity burden within the cholinergic projection pathways was inversely correlated with CBFN volume when corrected for sex and total intracranial volume, but this correlation was no longer significant after correction for age. Voxel-wise multiple linear regression analyses using threshold-free cluster enhancement revealed that in controls, cholinergic pathway hyperintensities correlated with gray matter loss in perisylvian areas, whereas the were no effects in AD. Moreover, we found that CBFN volumes correlated with distinct regional cortical atrophy patterns in both groups. CONCLUSION Our results indicate that white matter hyperintensities and AD pathology contribute independently but additively to the degeneration of cholinergic basal forebrain structures. Whereas AD is primarily associated with CBFN volume loss, cholinergic degeneration associated with white matter hyperintensities appears to involve disruption of cholinergic cortical projection fibers with less pronounced effects on CBFN volumes.
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Affiliation(s)
- Christine Kindler
- Division of Vascular Neurology, Department of Neurology, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany; German Center for Neurodegenerative Diseases (DZNE), Venusberg-Campus 1, 53127 Bonn, Germany
| | - Neeraj Upadhyay
- German Center for Neurodegenerative Diseases (DZNE), Venusberg-Campus 1, 53127 Bonn, Germany; Clinical Functional Imaging Group, Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany
| | - Zeynep Bendella
- Department of Neuroradiology, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany
| | - Franziska Dorn
- Department of Neuroradiology, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany
| | - Vera C Keil
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, VUmc, Amsterdam, The Netherlands; Amsterdam Neuroscience, Amsterdam UMC, Amsterdam, The Netherlands
| | - Gabor C Petzold
- Division of Vascular Neurology, Department of Neurology, University Hospital Bonn, Venusberg-Campus 1, 53127 Bonn, Germany; German Center for Neurodegenerative Diseases (DZNE), Venusberg-Campus 1, 53127 Bonn, Germany.
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Toledo JB, Abdelnour C, Weil RS, Ferreira D, Rodriguez-Porcel F, Pilotto A, Wyman-Chick KA, Grothe MJ, Kane JPM, Taylor A, Rongve A, Scholz S, Leverenz JB, Boeve BF, Aarsland D, McKeith IG, Lewis S, Leroi I, Taylor JP. Dementia with Lewy bodies: Impact of co-pathologies and implications for clinical trial design. Alzheimers Dement 2023; 19:318-332. [PMID: 36239924 PMCID: PMC9881193 DOI: 10.1002/alz.12814] [Citation(s) in RCA: 15] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2022] [Revised: 08/29/2022] [Accepted: 09/09/2022] [Indexed: 02/01/2023]
Abstract
Dementia with Lewy bodies (DLB) is clinically defined by the presence of visual hallucinations, fluctuations, rapid eye movement (REM) sleep behavioral disorder, and parkinsonism. Neuropathologically, it is characterized by the presence of Lewy pathology. However, neuropathological studies have demonstrated the high prevalence of coexistent Alzheimer's disease, TAR DNA-binding protein 43 (TDP-43), and cerebrovascular pathologic cases. Due to their high prevalence and clinical impact on DLB individuals, clinical trials should account for these co-pathologies in their design and selection and the interpretation of biomarkers values and outcomes. Here we discuss the frequency of the different co-pathologies in DLB and their cross-sectional and longitudinal clinical impact. We then evaluate the utility and possible applications of disease-specific and disease-nonspecific biomarkers and how co-pathologies can impact these biomarkers. We propose a framework for integrating multi-modal biomarker fingerprints and step-wise selection and assessment of DLB individuals for clinical trials, monitoring target engagement, and interpreting outcomes in the setting of co-pathologies.
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Affiliation(s)
- Jon B Toledo
- Nantz National Alzheimer Center, Stanley H. Appel Department of Neurology, Houston Methodist Hospital, Houston, Texas, USA
| | - Carla Abdelnour
- Fundació ACE. Barcelona Alzheimer Treatment and Research Center, Universitat Autónoma de Barcelona, Barcelona, Spain
| | - Rimona S Weil
- Dementia Research Centre, Wellcome Centre for Human Neuroimaging, Movement Disorders Consortium, National Hospital for Neurology and Neurosurgery, University College London, London, UK
| | - Daniel Ferreira
- Division of Clinical Geriatrics, Department of Neurobiology, Care Sciences and Society, Center for Alzheimer's Research, Karolinska Institutet, Stockholm, Sweden
| | | | - Andrea Pilotto
- Department of Clinical and Experimental Sciences, University of Brescia, Parkinson's Disease Rehabilitation Centre, FERB ONLUS-S, Isidoro Hospital, Trescore Balneario (BG), Italy
| | - Kathryn A Wyman-Chick
- HealthPartners Center for Memory and Aging and Struthers Parkinson's Center, Saint Paul, Minnesota, USA
| | - Michel J Grothe
- Instituto de Biomedicina de Sevilla (IBiS), Unidad de Trastornos del Movimiento, Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla, Sevilla, Spain
| | - Joseph P M Kane
- Centre for Public Health, Queen's University Belfast, Belfast, UK
| | - Angela Taylor
- Lewy Body Dementia Association, Lilburn, Georgia, USA
| | - Arvid Rongve
- Department of Research and Innovation, Institute of Clinical Medicine (K1), Haugesund Hospital, Norway and The University of Bergen, Bergen, Norway
| | - Sonja Scholz
- Department of Neurology, National Institute of Neurological Disorders and Stroke, Neurodegenerative Diseases Research Unit, Johns Hopkins University Medical Center, Baltimore, Maryland, USA
| | - James B Leverenz
- Lou Ruvo Center for Brain Health, Cleveland Clinic, Cleveland, Ohio, USA
| | - Bradley F Boeve
- Department of Neurology and Center for Sleep Medicine, Mayo Clinic, Rochester, Minnesota, USA
| | - Dag Aarsland
- Department of Old Age Psychiatry, Institute of Psychiatry, Psychology & Neuroscience, King's College London, De Crespigny Park, London, UK
| | - Ian G McKeith
- Newcastle University Translational and Clinical Research Institute (NUTCRI, Newcastle upon Tyne, UK
| | - Simon Lewis
- ForeFront Parkinson's Disease Research Clinic, School of Medical Sciences, Brain and Mind Centre, University of Sydney, Camperdown, New South Wales, Australia
| | - Iracema Leroi
- Global Brain Health Institute, Trinity College Dublin, Dublin, Ireland
| | - John P Taylor
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK
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5
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Kawakami I, Iga J, Takahashi S, Lin Y, Fujishiro H. Towards an understanding of the pathological basis of senile depression and incident dementia: Implications for treatment. Psychiatry Clin Neurosci 2022; 76:620-632. [PMID: 36183356 PMCID: PMC10092575 DOI: 10.1111/pcn.13485] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/31/2022] [Revised: 09/15/2022] [Accepted: 09/24/2022] [Indexed: 11/30/2022]
Abstract
Senile depression (SD) is a heterogeneous syndrome. Several clinical profiles are more likely to appear in SD than in early-life depression, but it remains unclear whether the pathophysiology is different. The prevalence of dementia increases with aging, and the underlying pathophysiological processes in the preclinical phase begin even before cognitive deficits or neurological signs appear. SD may be either a risk factor for developing dementia or a prodromal stage of dementia. The inconsistent findings regarding the association between SD and incident dementia may be attributable to the neuropathological heterogeneity underlying SD. Most studies have focused on patients with the clinical diagnosis of Alzheimer disease (AD) as an outcome, but several clinicopathological studies suggest that primary age-related tauopathy and argyrophilic grain disease may account for a proportion of cases clinically misdiagnosed as AD in the elderly population. Furthermore, most AD cases have additional neuropathologic changes such as cerebrovascular disease and Lewy body disease. Here, we review the neuropathological findings linking SD to incident dementia, focusing on common age-related neuropathologies. In particular, the roles of disturbance of neural circuity, imbalance of monoaminergic systems, dysregulation of the hypothalamic-pituitary-adrenal axis, and elevated neuroinflammatory status are discussed. Finally, we review the current treatment of SD in the context of age-related neuropathological changes.
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Affiliation(s)
- Ito Kawakami
- Department of PsychiatryJuntendo University School of MedicineTokyoJapan
- Dementia Research ProjectTokyo Metropolitan Institute of Medical ScienceTokyoJapan
| | - Jun‐ichi Iga
- Department of NeuropsychiatryEhime University Graduate School of MedicineMatsuyamaJapan
| | - Sho Takahashi
- Department of Disaster and Community Psychiatry, Division of Clinical Medicine, Faculty of MedicineUniversity of TsukubaTsukubaJapan
- Department of Community and Disaster Assistance, Ibaraki Prefectural Medical Research Center of PsychiatryUniversity of TsukubaTsukubaJapan
| | - Yi‐Ting Lin
- Department of PsychiatryNational Taiwan University HospitalTaipeiTaiwan
| | - Hiroshige Fujishiro
- Department of PsychiatryNagoya University Graduate School of MedicineAichiJapan
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6
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White matter hyperintensity distribution differences in aging and neurodegenerative disease cohorts. Neuroimage Clin 2022; 36:103204. [PMID: 36155321 PMCID: PMC9668605 DOI: 10.1016/j.nicl.2022.103204] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2022] [Revised: 09/12/2022] [Accepted: 09/16/2022] [Indexed: 01/18/2023]
Abstract
INTRODUCTION White matter hyperintensities (WMHs) are common magnetic resonance imaging (MRI) findings in the aging population in general, as well as in patients with neurodegenerative diseases. They are known to exacerbate the cognitive deficits and worsen the clinical outcomes in the patients. However, it is not well-understood whether there are disease-specific differences in prevalence and distribution of WMHs in different neurodegenerative disorders. METHODS Data included 976 participants with cross-sectional T1-weighted and fluid attenuated inversion recovery (FLAIR) MRIs from the Comprehensive Assessment of Neurodegeneration and Dementia (COMPASS-ND) cohort of the Canadian Consortium on Neurodegeneration in Aging (CCNA) with eleven distinct diagnostic groups: cognitively intact elderly (CIE), subjective cognitive impairment (SCI), mild cognitive impairment (MCI), vascular MCI (V-MCI), Alzheimer's dementia (AD), vascular AD (V-AD), frontotemporal dementia (FTD), Lewy body dementia (LBD), cognitively intact elderly with Parkinson's disease (PD-CIE), cognitively impaired Parkinson's disease (PD-CI), and mixed dementias. WMHs were segmented using a previously validated automated technique. WMH volumes in each lobe and hemisphere were compared against matched CIE individuals, as well as each other, and between men and women. RESULTS All cognitively impaired diagnostic groups had significantly greater overall WMH volumes than the CIE group. Vascular groups (i.e. V-MCI, V-AD, and mixed dementia) had significantly greater WMH volumes than all other groups, except for FTD, which also had significantly greater WMH volumes than all non-vascular groups. Women tended to have lower WMH burden than men in most groups and regions, controlling for age. The left frontal lobe tended to have a lower WMH burden than the right in all groups. In contrast, the right occipital lobe tended to have greater WMH volumes than the left. CONCLUSIONS There were distinct differences in WMH prevalence and distribution across diagnostic groups, sexes, and in terms of asymmetry. WMH burden was significantly greater in all neurodegenerative dementia groups, likely encompassing areas exclusively impacted by neurodegeneration as well as areas related to cerebrovascular disease pathology.
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7
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Chen TY, Chan PC, Tsai CF, Wei CY, Chiu PY. White matter hyperintensities in dementia with Lewy bodies are associated with poorer cognitive function and higher dementia stages. Front Aging Neurosci 2022; 14:935652. [PMID: 36092817 PMCID: PMC9459160 DOI: 10.3389/fnagi.2022.935652] [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: 05/04/2022] [Accepted: 08/10/2022] [Indexed: 11/17/2022] Open
Abstract
Purpose White matter hyperintensities (WMHs) are frequently found in elderly individuals with or without dementia. However, the association between WMHs and clinical presentations of dementia with Lewy bodies (DLB) has rarely been studied. Methods We conducted a retrospective analysis of patients with DLB registered in a dementia database. WMHs were rated visually using the Fazekas scale, and its associated factors including dementia severity, cognitive functions, neuropsychiatric symptoms, and core clinical features were compared among different Fazekas scores. Domains in the Clinical Dementia Rating (CDR), Cognitive abilities Screening Instruments (CASI), and Neuropsychiatric Inventory (NPI) were compared among different Fazekas groups after adjusting for age, sex, education, and disease duration. Results Among the 449 patients, 76, 207, 110, and 56 had Fazekas score of 0, 1, 2, and 3, respectively. There was a positive association between dementia severity and WMHs severity, and the mean sums of boxes of the Clinical Dementia Rating (CDR-SB) were 5.9, 7.8, 9.5, and 11.2 (f = 16.84, p < 0.001) for the Fazekas scale scores 0, 1, 2, and 3, respectively. There was a negative association between cognitive performance and WMHs severity, and the mean CASI were 57.7, 45.4, 4.06, and 33.4 (f = 14.22, p < 0.001) for the Fazekas scale scores 0, 1, 2, and 3, respectively. However, WMHs were not associated with the core clinical features of DLB. After adjustment, all cognitive domains in CDR increased as the Fazekas score increased. In addition, performance on all cognitive domains in CASI decreased as the Fazekas score increased (all p < 0.001). Among neuropsychiatric symptoms, delusions, euphoria, apathy, aberrant motor behavior, and sleep disorders were significantly worse in the higher Fazekas groups compared to those in the group with Fazekas score of 0 after adjustment. Conclusion WMHs in DLB might contribute to deterioration of cognitive function, neuropsychiatric symptoms, and dementia stages. However, core clinical features were not significantly influenced by WMHs in DLB.
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Affiliation(s)
- Tai-Yi Chen
- Department of Radiology, Show Chwan Memorial Hospital, Changhua, Taiwan
| | - Po-Chi Chan
- Department of Neurology, Show Chwan Memorial Hospital, Changhua, Taiwan
| | - Ching-Fang Tsai
- Tainan Sin-Lau Hospital, The Presbyterian Church in Taiwan, Tainan, Taiwan
| | - Cheng-Yu Wei
- Department of Neurology, Chang Bing Show Chwan Memorial Hospital, Changhua, Taiwan
| | - Pai-Yi Chiu
- Department of Neurology, Show Chwan Memorial Hospital, Changhua, Taiwan
- Department of Applied Mathematics, Tunghai University, Taichung, Taiwan
- *Correspondence: Pai-Yi Chiu,
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8
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Ozzoude M, Varriano B, Beaton D, Ramirez J, Holmes MF, Scott CJM, Gao F, Sunderland KM, McLaughlin P, Rabin J, Goubran M, Kwan D, Roberts A, Bartha R, Symons S, Tan B, Swartz RH, Abrahao A, Saposnik G, Masellis M, Lang AE, Marras C, Zinman L, Shoesmith C, Borrie M, Fischer CE, Frank A, Freedman M, Montero-Odasso M, Kumar S, Pasternak S, Strother SC, Pollock BG, Rajji TK, Seitz D, Tang-Wai DF, Turnbull J, Dowlatshahi D, Hassan A, Casaubon L, Mandzia J, Sahlas D, Breen DP, Grimes D, Jog M, Steeves TDL, Arnott SR, Black SE, Finger E, Tartaglia MC. Investigating the contribution of white matter hyperintensities and cortical thickness to empathy in neurodegenerative and cerebrovascular diseases. GeroScience 2022; 44:1575-1598. [PMID: 35294697 DOI: 10.1007/s11357-022-00539-x] [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: 08/17/2021] [Accepted: 02/22/2022] [Indexed: 11/24/2022] Open
Abstract
Change in empathy is an increasingly recognised symptom of neurodegenerative diseases and contributes to caregiver burden and patient distress. Empathy impairment has been associated with brain atrophy but its relationship to white matter hyperintensities (WMH) is unknown. We aimed to investigate the relationships amongst WMH, brain atrophy, and empathy deficits in neurodegenerative and cerebrovascular diseases. Five hundred thirteen participants with Alzheimer's disease/mild cognitive impairment, amyotrophic lateral sclerosis, frontotemporal dementia (FTD), Parkinson's disease, or cerebrovascular disease (CVD) were included. Empathy was assessed using the Interpersonal Reactivity Index. WMH were measured using a semi-automatic segmentation and FreeSurfer was used to measure cortical thickness. A heterogeneous pattern of cortical thinning was found between groups, with FTD showing thinning in frontotemporal regions and CVD in left superior parietal, left insula, and left postcentral. Results from both univariate and multivariate analyses revealed that several variables were associated with empathy, particularly cortical thickness in the fronto-insulo-temporal and cingulate regions, sex (female), global cognition, and right parietal and occipital WMH. Our results suggest that cortical atrophy and WMH may be associated with empathy deficits in neurodegenerative and cerebrovascular diseases. Future work should consider investigating the longitudinal effects of WMH and atrophy on empathy deficits in neurodegenerative and cerebrovascular diseases.
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Affiliation(s)
- Miracle Ozzoude
- Tanz Centre for Research in Neurodegenerative Diseases, University of Toronto, Krembil Discovery Tower, 60 Leonard Avenue, 6th floor 6KD-407, Toronto, ON, M5T 0S8, Canada.,L.C. Campbell Cognitive Neurology Unit, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
| | - Brenda Varriano
- Tanz Centre for Research in Neurodegenerative Diseases, University of Toronto, Krembil Discovery Tower, 60 Leonard Avenue, 6th floor 6KD-407, Toronto, ON, M5T 0S8, Canada
| | - Derek Beaton
- Rotman Research Institute of Baycrest Centre, Toronto, ON, Canada
| | - Joel Ramirez
- L.C. Campbell Cognitive Neurology Unit, Sunnybrook Health Sciences Centre, Toronto, ON, Canada.,Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, Toronto, ON, Canada
| | - Melissa F Holmes
- L.C. Campbell Cognitive Neurology Unit, Sunnybrook Health Sciences Centre, Toronto, ON, Canada.,Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, Toronto, ON, Canada
| | - Christopher J M Scott
- L.C. Campbell Cognitive Neurology Unit, Sunnybrook Health Sciences Centre, Toronto, ON, Canada.,Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, Toronto, ON, Canada
| | - Fuqiang Gao
- L.C. Campbell Cognitive Neurology Unit, Sunnybrook Health Sciences Centre, Toronto, ON, Canada.,Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, Toronto, ON, Canada
| | | | - Paula McLaughlin
- Nova Scotia Health and Dalhousie University, Halifax, NS, Canada
| | - Jennifer Rabin
- Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, Toronto, ON, Canada.,Division of Neurology, Department of Medicine, University of Toronto, Toronto, ON, Canada.,Harquail Centre for Neuromodulation, Hurvitz Brain Sciences Program, Sunnybrook Health Sciences Centre, Toronto, ON, Canada.,Rehabilitation Sciences Institute, University of Toronto, Toronto, ON, Canada
| | - Maged Goubran
- Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, Toronto, ON, Canada.,Harquail Centre for Neuromodulation, Hurvitz Brain Sciences Program, Sunnybrook Health Sciences Centre, Toronto, ON, Canada.,Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada
| | - Donna Kwan
- Centre for Neuroscience Studies, Queen's University, Kingston, ON, Canada.,Queen's University, Kingston, ON, Canada
| | - Angela Roberts
- Roxelyn and Richard Pepper Department of Communication Sciences and Disorders, Northwestern University, Evanston, IL, USA.,School of Communication Sciences and Disorders, Faculty of Health Sciences, Western University, London, ON, Canada
| | - Robert Bartha
- Robarts Research Institute, Western University, London, ON, Canada
| | - Sean Symons
- Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, Toronto, ON, Canada.,Sunnybrook Research Institute, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
| | - Brian Tan
- Rotman Research Institute of Baycrest Centre, Toronto, ON, Canada
| | - Richard H Swartz
- Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, Toronto, ON, Canada.,Division of Neurology, Department of Medicine, University of Toronto, Toronto, ON, Canada.,Sunnybrook Research Institute, Sunnybrook Health Sciences Centre, Toronto, ON, Canada.,Heart & Stroke Foundation Canadian Partnership for Stroke Recovery, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
| | - Agessandro Abrahao
- Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, Toronto, ON, Canada.,Harquail Centre for Neuromodulation, Hurvitz Brain Sciences Program, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
| | - Gustavo Saposnik
- Li Ka Shing Knowledge Institute, St. Michael's Hospital, University of Toronto, Toronto, ON, Canada.,Division of Neurology, Department of Medicine, St. Michael's Hospital, University of Toronto, Toronto, ON, Canada
| | - Mario Masellis
- Division of Neurology, Department of Medicine, University of Toronto, Toronto, ON, Canada.,Sunnybrook Research Institute, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
| | - Anthony E Lang
- Division of Neurology, Department of Medicine, University of Toronto, Toronto, ON, Canada.,Edmond J Safra Program for Parkinson Disease, Movement Disorder Clinic, Toronto Western Hospital, University Health Network, Toronto, ON, Canada
| | - Connie Marras
- Division of Neurology, Department of Medicine, University of Toronto, Toronto, ON, Canada.,Edmond J Safra Program for Parkinson Disease, Movement Disorder Clinic, Toronto Western Hospital, University Health Network, Toronto, ON, Canada
| | - Lorne Zinman
- Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, Toronto, ON, Canada.,Division of Neurology, Department of Medicine, University of Toronto, Toronto, ON, Canada
| | - Christen Shoesmith
- Department of Clinical Neurological Sciences, Western University, London, ON, Canada
| | - Michael Borrie
- Schulich School of Medicine and Dentistry, Western University, London, ON, Canada.,St. Joseph's Healthcare Centre, London, ON, Canada
| | - Corinne E Fischer
- Keenan Research Centre for Biomedical Science, St. Michael's Hospital, Toronto, ON, Canada
| | - Andrew Frank
- Department of Medicine (Neurology), University of Ottawa Brain and Mind Research Institute and Ottawa Hospital Research Institute, Ottawa, ON, Canada.,Bruyère Research Institute, Ottawa, ON, Canada
| | - Morris Freedman
- Rotman Research Institute of Baycrest Centre, Toronto, ON, Canada.,Division of Neurology, Department of Medicine, University of Toronto, Toronto, ON, Canada.,Division of Neurology, Baycrest Health Sciences, Toronto, ON, Canada
| | - Manuel Montero-Odasso
- Schulich School of Medicine and Dentistry, Western University, London, ON, Canada.,Lawson Health Research Institute, London, ON, Canada.,Gait and Brain Lab, Parkwood Institute, London, ON, Canada
| | - Sanjeev Kumar
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada.,Adult Neurodevelopment and Geriatric Psychiatry, Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Stephen Pasternak
- Department of Clinical Neurological Sciences, Western University, London, ON, Canada
| | - Stephen C Strother
- Rotman Research Institute of Baycrest Centre, Toronto, ON, Canada.,Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada
| | - Bruce G Pollock
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada.,Adult Neurodevelopment and Geriatric Psychiatry, Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Tarek K Rajji
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada.,Adult Neurodevelopment and Geriatric Psychiatry, Centre for Addiction and Mental Health, Toronto, ON, Canada.,Toronto Dementia Research Alliance, University of Toronto, Toronto, ON, Canada
| | - Dallas Seitz
- Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - David F Tang-Wai
- Division of Neurology, Department of Medicine, University of Toronto, Toronto, ON, Canada.,Memory Clinic, Toronto Western Hospital, University Health Network, Toronto, ON, Canada
| | - John Turnbull
- Faculty of Health Sciences, McMaster University, Hamilton, ON, Canada.,Department of Medicine, McMaster University, Hamilton, ON, Canada
| | - Dar Dowlatshahi
- Department of Medicine (Neurology), University of Ottawa Brain and Mind Research Institute and Ottawa Hospital Research Institute, Ottawa, ON, Canada
| | - Ayman Hassan
- Thunder Bay Regional Health Research Institute, Thunder Bay, ON, Canada
| | - Leanne Casaubon
- Division of Neurology, Department of Medicine, University of Toronto, Toronto, ON, Canada
| | - Jennifer Mandzia
- Department of Clinical Neurological Sciences, Western University, London, ON, Canada.,Schulich School of Medicine and Dentistry, Western University, London, ON, Canada
| | - Demetrios Sahlas
- Faculty of Health Sciences, McMaster University, Hamilton, ON, Canada.,Department of Medicine, McMaster University, Hamilton, ON, Canada
| | - David P Breen
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK.,Anne Rowling Regenerative Neurology Clinic, University of Edinburgh, Edinburgh, UK.,Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK
| | - David Grimes
- Department of Medicine (Neurology), University of Ottawa Brain and Mind Research Institute and Ottawa Hospital Research Institute, Ottawa, ON, Canada
| | - Mandar Jog
- Department of Clinical Neurological Sciences, Western University, London, ON, Canada.,Schulich School of Medicine and Dentistry, Western University, London, ON, Canada.,London Health Sciences Centre, London, ON, Canada
| | - Thomas D L Steeves
- Division of Neurology, Department of Medicine, St. Michael's Hospital, University of Toronto, Toronto, ON, Canada
| | - Stephen R Arnott
- Rotman Research Institute of Baycrest Centre, Toronto, ON, Canada
| | - Sandra E Black
- L.C. Campbell Cognitive Neurology Unit, Sunnybrook Health Sciences Centre, Toronto, ON, Canada.,Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, Toronto, ON, Canada.,Heart & Stroke Foundation Canadian Partnership for Stroke Recovery, Sunnybrook Health Sciences Centre, Toronto, ON, Canada.,Toronto Dementia Research Alliance, University of Toronto, Toronto, ON, Canada.,Division of Neurology, Department of Medicine, St. Michael's Hospital, University of Toronto, Toronto, ON, Canada
| | - Elizabeth Finger
- Department of Clinical Neurological Sciences, Western University, London, ON, Canada.,Schulich School of Medicine and Dentistry, Western University, London, ON, Canada
| | | | - Maria Carmela Tartaglia
- Tanz Centre for Research in Neurodegenerative Diseases, University of Toronto, Krembil Discovery Tower, 60 Leonard Avenue, 6th floor 6KD-407, Toronto, ON, M5T 0S8, Canada. .,Division of Neurology, Department of Medicine, University of Toronto, Toronto, ON, Canada. .,Memory Clinic, Toronto Western Hospital, University Health Network, Toronto, ON, Canada.
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9
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Zhu H, Lu H, Wang F, Liu S, Shi Z, Gan J, Du X, Yang Y, Li D, Wang L, Ji Y. Characteristics of Cortical Atrophy and White Matter Lesions Between Dementia With Lewy Bodies and Alzheimer's Disease: A Case-Control Study. Front Neurol 2022; 12:779344. [PMID: 35087466 PMCID: PMC8788384 DOI: 10.3389/fneur.2021.779344] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2021] [Accepted: 12/16/2021] [Indexed: 11/21/2022] Open
Abstract
Introduction: Currently, there is still clinical overlap between dementia with Lewy bodies (DLB) and Alzheimer's disease (AD) patients, which may affect the accuracy of the early diagnosis of DLB. For better diagnosis and prognosis, further exploration of local cortical atrophy patterns and white matter lesions is needed. Methods: We reviewed the outpatient medical records of 97 DLB patients and 173 AD patients from January 2018 to September 2020 along with 30 matched outpatient clinic normal elderly people. MRI visual rating scales, including medial temporal lobe atrophy (MTA), global cortical atrophy-frontal subscale (GCA-F), posterior atrophy (PA), Fazekas scale, Evans Index and cerebral microbleeds were evaluated and analyzed in DLB and AD patients with different severities and normal controls. Results: Overall, patients with DLB had higher scores on all visual rating scales than the normal controls. Meanwhile, compared with AD, DLB had lower MTA scores in the mild to moderate groups (both p ≤ 0.001), but the GCA-F and PA scores were similar (all p > 0.05). The Fazekas scores in the moderate to severe DLB group were lower than those in the AD group (p = 0.024 and p = 0.027, respectively). In addition, the diagnostic performance and sensitivity of multiple imaging indicators for DLB were better than that of MTA alone (the combination of MTA, GCA-F, PA, Fazekas visual rating scales, AUC = 0.756, 95%CI: 0.700–0.813, sensitivity = 0.647, specificity = 0.804 and MTA visual rating scale, AUC = 0.726, 95%CI: 0.667–0.785, sensitivity = 0.497, specificity = 0.876, respectively). Conclusion: The medial temporal lobe of DLB patients was relatively preserved, the frontal and parietal lobes were similarly atrophied to AD patients, and the white matter hyperintensity was lighter than that in AD patients. Combined multiple visual rating scales may provide a novel idea for the diagnosis of early DLB.
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Affiliation(s)
- Han Zhu
- Clinical College of Neurology, Neurosurgery and Neurorehabilitation, Tianjin Medical University, Tianjin, China
| | - Hao Lu
- Department of Radiology, Tianjin Huanhu Hospital, Tianjin, China
| | - Fei Wang
- Clinical College of Neurology, Neurosurgery and Neurorehabilitation, Tianjin Medical University, Tianjin, China
| | - Shuai Liu
- Department of Neurology, Tianjin Huanhu Hospital, Tianjin, China.,Tianjin Key Laboratory of Cerebrovascular and of Neurodegenerative Diseases, Tianjin Dementia Institute, Tianjin, China
| | - Zhihong Shi
- Department of Neurology, Tianjin Huanhu Hospital, Tianjin, China
| | - Jinghuan Gan
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Xiaoshan Du
- Clinical College of Neurology, Neurosurgery and Neurorehabilitation, Tianjin Medical University, Tianjin, China
| | - Yaqi Yang
- Clinical College of Neurology, Neurosurgery and Neurorehabilitation, Tianjin Medical University, Tianjin, China
| | - Daibin Li
- Department of Radiology, Tianjin Huanhu Hospital, Tianjin, China
| | - Lichen Wang
- Department of Radiology, Tianjin Huanhu Hospital, Tianjin, China
| | - Yong Ji
- Department of Neurology, Tianjin Huanhu Hospital, Tianjin, China.,Tianjin Key Laboratory of Cerebrovascular and of Neurodegenerative Diseases, Tianjin Dementia Institute, Tianjin, China.,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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10
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Poh L, Sim WL, Jo DG, Dinh QN, Drummond GR, Sobey CG, Chen CLH, Lai MKP, Fann DY, Arumugam TV. The role of inflammasomes in vascular cognitive impairment. Mol Neurodegener 2022; 17:4. [PMID: 35000611 PMCID: PMC8744307 DOI: 10.1186/s13024-021-00506-8] [Citation(s) in RCA: 39] [Impact Index Per Article: 19.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2021] [Accepted: 12/02/2021] [Indexed: 12/11/2022] Open
Abstract
There is an increasing prevalence of Vascular Cognitive Impairment (VCI) worldwide, and several studies have suggested that Chronic Cerebral Hypoperfusion (CCH) plays a critical role in disease onset and progression. However, there is a limited understanding of the underlying pathophysiology of VCI, especially in relation to CCH. Neuroinflammation is a significant contributor in the progression of VCI as increased systemic levels of the proinflammatory cytokine interleukin-1β (IL-1β) has been extensively reported in VCI patients. Recently it has been established that CCH can activate the inflammasome signaling pathways, involving NLRP3 and AIM2 inflammasomes that critically regulate IL-1β production. Given that neuroinflammation is an early event in VCI, it is important that we understand its molecular and cellular mechanisms to enable development of disease-modifying treatments to reduce the structural brain damage and cognitive deficits that are observed clinically in the elderly. Hence, this review aims to provide a comprehensive insight into the molecular and cellular mechanisms involved in the pathogenesis of CCH-induced inflammasome signaling in VCI.
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Affiliation(s)
- Luting Poh
- Department of Physiology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Wei Liang Sim
- Department of Physiology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Dong-Gyu Jo
- School of Pharmacy, Sungkyunkwan University, Suwon, Republic of Korea
| | - Quynh Nhu Dinh
- Centre for Cardiovascular Biology and Disease Research, Department of Physiology, Anatomy and Microbiology, La Trobe University, Bundoora, VIC Australia
| | - Grant R. Drummond
- Centre for Cardiovascular Biology and Disease Research, Department of Physiology, Anatomy and Microbiology, La Trobe University, Bundoora, VIC Australia
| | - Christopher G. Sobey
- Centre for Cardiovascular Biology and Disease Research, Department of Physiology, Anatomy and Microbiology, La Trobe University, Bundoora, VIC Australia
| | - Christopher Li-Hsian Chen
- Memory Aging and Cognition Centre, Department of Pharmacology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Department of Psychological Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Mitchell K. P. Lai
- Memory Aging and Cognition Centre, Department of Pharmacology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - David Y. Fann
- Department of Physiology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Healthy Longevity Translational Research Program, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Centre for Healthy Longevity, National University Health System (NUHS), Singapore, Singapore
| | - Thiruma V. Arumugam
- School of Pharmacy, Sungkyunkwan University, Suwon, Republic of Korea
- Centre for Cardiovascular Biology and Disease Research, Department of Physiology, Anatomy and Microbiology, La Trobe University, Bundoora, VIC Australia
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11
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Świątkiewicz M, Grieb P. Citicoline for Supporting Memory in Aging Humans. Aging Dis 2022:AD.2022.0913. [PMID: 37196134 PMCID: PMC10389840 DOI: 10.14336/ad.2022.0913] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2022] [Accepted: 09/13/2022] [Indexed: 11/18/2022] Open
Abstract
Citicoline is the generic name of CDP-choline, a natural metabolite present in all living cells. Used in medicine as a drug since the 1980-s, citicoline was recently pronounced a food ingredient. When ingested, citicoline breaks down to cytidine and choline, which become incorporated into their respective normal metabolic pathways. Choline is a precursor of acetylcholine and phospholipids; these is a neurotransmitter pivotal for learning and memory and important constituents of neuronal membranes and myelin sheaths, respectively. Cytidine in humans is readily converted to uridine, which exerts a positive effect on synaptic function and supports the formation of synaptic membranes. Choline deficiency has been found to be correlated with memory dysfunction. Magnetic resonance spectroscopy studies showed that citicoline intake improves brain uptake of choline in older persons, suggestive of that it shall help in reversing early age-related cognitive changes. In randomized, placebo-controlled trials of cognitively normal middle-aged and elderly persons, positive effects of citicoline on memory efficacy were found. Similar effects of citicoline on memory indices were also found in patients suffering from mild cognitive impairment and some other neurological diseases. Altogether, the aforementioned data provide complex and unambiguous evidence supporting the claim that oral citicoline intake positively influences memory function in humans who encounter age-related memory impairment also in the absence of any detectable neurological or psychiatric disease.
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12
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Hijazi Z, Yassi N, O'Brien JT, Watson R. The influence of cerebrovascular disease in dementia with Lewy bodies and Parkinson's disease dementia. Eur J Neurol 2021; 29:1254-1265. [PMID: 34923713 DOI: 10.1111/ene.15211] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2021] [Accepted: 12/08/2021] [Indexed: 11/28/2022]
Abstract
INTRODUCTION Lewy body dementia (LBD), including dementia with Lewy bodies (DLB) and Parkinson's disease dementia (PDD), is a common form of neurodegenerative dementia. The frequency and influence of comorbid cerebrovascular disease is not understood but has potentially important clinical management implications. METHODS A systematic literature search was conducted (Medline and Embase) for studies including participants with DLB and/or PDD assessing cerebrovascular lesions (imaging and pathological studies). They included white matter changes, cerebral amyloid angiopathy (CAA), cerebral microbleeds (CMB), macroscopic infarcts, micro-infarcts and intracerebral haemorrhage. RESULTS Of 4411 articles, 63 studies were included. Cerebrovascular lesions commonly studied included white matter changes (41 studies) and CMB (18 studies). There was an increased severity of white matter changes on magnetic resonance imaging (visualized as white matter hyperintensities, WMH), but not neuropathology, in LBD compared to PD without dementia and age-matched controls. CMB prevalence in DLB was highly variable but broadly similar to Alzheimer's disease (AD) (0-48%), with a lobar predominance. No relationship was found between large cortical or small subcortical infarcts or intracerebral haemorrhage and presence of LBD. CONCLUSION The underlying mechanisms of WMH in LBD require further exploration, as their increased severity in LBD was not supported by neuropathological examination of white matter. CMB in LBD had a similar prevalence as AD. There is a need for larger studies assessing the influence of cerebrovascular lesions on clinical symptoms, disease progression and outcomes.
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Affiliation(s)
- Zina Hijazi
- Monash University School of Rural Health, Bendigo Hospital, Bendigo, VIC, Australia.,Department of Medicine, Bendigo Hospital, Bendigo, VIC, Australia
| | - Nawaf Yassi
- Department of Medicine, Royal Melbourne Hospital, The University of Melbourne, Parkville, VIC, Australia.,Population Health and Immunity Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, Australia.,Department of Neurology, Melbourne Brain Centre at The Royal Melbourne Hospital, University of Melbourne, Parkville, Australia
| | - John T O'Brien
- Department of Psychiatry, University of Cambridge, Level E4, Box 189, Cambridge, CB2 0QC, UK
| | - Rosie Watson
- Department of Medicine, Royal Melbourne Hospital, The University of Melbourne, Parkville, VIC, Australia.,Population Health and Immunity Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, Australia
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13
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Dadar M, Manera AL, Ducharme S, Collins DL. White matter hyperintensities are associated with grey matter atrophy and cognitive decline in Alzheimer's disease and frontotemporal dementia. Neurobiol Aging 2021; 111:54-63. [PMID: 34968832 DOI: 10.1016/j.neurobiolaging.2021.11.007] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2021] [Revised: 10/21/2021] [Accepted: 11/26/2021] [Indexed: 01/18/2023]
Abstract
White matter hyperintensities (WMHs) are commonly assumed to represent non-specific cerebrovascular disease comorbid to neurodegenerative processes, rather than playing a synergistic role. We compared the impact of WMHs on grey matter (GM) atrophy and cognition in normal aging (n = 571), mild cognitive impairment (MCI, n = 551), Alzheimer's dementia (AD, n = 212), fronto-temporal dementia (FTD, n = 125), and Parkinson's disease (PD, n = 271). Longitudinal data were obtained from ADNI, FTLDNI, and PPMI datasets. Mixed-effects models were used to compare WMHs and GM atrophy between patients and controls and assess the impact of WMHs on GM atrophy and cognition. MCI, AD, and FTD patients had significantly higher WMH loads than controls. WMHs were related to GM atrophy in insular and parieto-occipital regions in MCI/AD, and frontal regions and basal ganglia in FTD. In addition, WMHs contributed to more severe cognitive deficits in AD and FTD compared to controls, whereas their impact in MCI and PD was not significantly different from controls. These results suggest potential synergistic effects between WMHs and proteinopathies in the neurodegenerative process in MCI, AD and FTD.
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Affiliation(s)
- Mahsa Dadar
- NeuroImaging and Surgical Tools Laboratory, Montreal Neurological Institute, McGill University, Montreal, QC, Canada; McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, QC, Canada.
| | - Ana Laura Manera
- NeuroImaging and Surgical Tools Laboratory, Montreal Neurological Institute, McGill University, Montreal, QC, Canada; McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, QC, Canada
| | - Simon Ducharme
- McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, QC, Canada; Department of Psychiatry, Douglas Mental Health University Institute and Douglas Research Centre, McGill University, Montreal, QC, Canada
| | - D Louis Collins
- NeuroImaging and Surgical Tools Laboratory, Montreal Neurological Institute, McGill University, Montreal, QC, Canada; McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, QC, Canada
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14
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Kuroda T, Honma M, Mori Y, Futamura A, Sugimoto A, Kasai H, Yano S, Hieda S, Kasuga K, Ikeuchi T, Ono K. White Matter Lesions May Aid in Differentiating Idiopathic Normal Pressure Hydrocephalus and Alzheimer's Disease. J Alzheimers Dis 2021; 85:851-862. [PMID: 34864676 DOI: 10.3233/jad-215187] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
BACKGROUND Idiopathic normal pressure hydrocephalus (iNPH) is often misdiagnosed as Alzheimer's disease (AD) due to overlapping pathophysiology and similar imaging characteristics, including ventricular enlargement and increased white matter lesions (WMLs). OBJECTIVE To compare the extent and distribution of WMLs directly between iNPH and AD and examine the association with underlying pathophysiology. METHODS Twelve patients with iNPH (mean age: 78.08 years; 5 females), 20 with AD (mean age: 75.40 years; 13 females), and 10 normal cognition (NC) participants (mean age: 76.60 years; 7 females) were recruited. The extent and distribution of WMLs and the lateral ventricular volume (LV-V) were evaluated on MRI using voxel-based morphometry analysis. Concentrations of cerebrospinal fluid biomarkers, such as amyloid-β protein (Aβ)42, Aβ 40, Aβ 38, and tau species, were also measured. Risk factors for small vessel disease (SVD) were assessed by blood examination and medical records. RESULTS The periventricular WML volume (PWML-V) and deep WML volume (DWML-V) were significantly larger in iNPH than in AD and NC. The DWML-V was dominant in iNPH, while the PWML-V was dominant in AD and NC. GM-V was significantly smaller in AD than in iNPH and NC. The LV-V positively correlated with WML-V in all participants. There was a significant negative correlation between LV-V and Aβ 38 in iNPH. Furthermore, there was no significant difference in SVD risk factors between the groups. CONCLUSION The differences in the extent and distribution of WMLs between iNPH and AD, especially predominance of DWML-V over PWML-V in iNPH, may reflect decreased fluid and Aβ clearance.
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Affiliation(s)
- Takeshi Kuroda
- Division of Neurology, Department of Medicine, Showa University School of Medicine, Tokyo, Japan
| | - Motoyasu Honma
- Department of Physiology, Showa University School of Medicine, Tokyo, Japan
| | - Yukiko Mori
- Division of Neurology, Department of Medicine, Showa University School of Medicine, Tokyo, Japan
| | - Akinori Futamura
- Division of Neurology, Department of Medicine, Showa University School of Medicine, Tokyo, Japan
| | - Azusa Sugimoto
- Division of Neurology, Department of Medicine, Showa University School of Medicine, Tokyo, Japan
| | - Hideyo Kasai
- Division of Neurology, Department of Medicine, Showa University School of Medicine, Tokyo, Japan
| | - Satoshi Yano
- Division of Neurology, Department of Medicine, Showa University School of Medicine, Tokyo, Japan
| | - Sotaro Hieda
- Division of Neurology, Department of Medicine, Showa University School of Medicine, Tokyo, Japan
| | - Kensaku Kasuga
- Department of Molecular Genetics, Brain Research Institute, Niigata University, Chuo-ku, Niigata, Japan
| | - Takeshi Ikeuchi
- Department of Molecular Genetics, Brain Research Institute, Niigata University, Chuo-ku, Niigata, Japan
| | - Kenjiro Ono
- Division of Neurology, Department of Medicine, Showa University School of Medicine, Tokyo, Japan.,Department of Neurology and Neurobiology of Aging, Kanazawa University Graduate School of Medical Sciences, Kanazawa, Japan
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15
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McAleese KE, Miah M, Graham S, Hadfield GM, Walker L, Johnson M, Colloby SJ, Thomas AJ, DeCarli C, Koss D, Attems J. Frontal white matter lesions in Alzheimer's disease are associated with both small vessel disease and AD-associated cortical pathology. Acta Neuropathol 2021; 142:937-950. [PMID: 34608542 PMCID: PMC8568857 DOI: 10.1007/s00401-021-02376-2] [Citation(s) in RCA: 35] [Impact Index Per Article: 11.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2021] [Revised: 09/26/2021] [Accepted: 09/27/2021] [Indexed: 12/22/2022]
Abstract
Cerebral white matter lesions (WML) encompass axonal loss and demyelination and are assumed to be associated with small vessel disease (SVD)-related ischaemia. However, our previous study in the parietal lobe white matter revealed that WML in Alzheimer's disease (AD) are linked with degenerative axonal loss secondary to the deposition of cortical AD pathology. Furthermore, neuroimaging data suggest that pathomechanisms for the development of WML differ between anterior and posterior lobes with AD-associated degenerative mechanism driving posterior white matter disruption, and both AD-associated degenerative and vascular mechanisms contributed to anterior matter disruption. In this pilot study, we used human post-mortem brain tissue to investigate the composition and aetiology of frontal WML from AD and non-demented controls to determine if frontal WML are SVD-associated and to reveal any regional differences in the pathogenesis of WML. Frontal WML tissue sections from 40 human post-mortem brains (AD, n = 19; controls, n = 21) were quantitatively assessed for demyelination, axonal loss, cortical hyperphosphorylated tau (HPτ) and amyloid-beta (Aβ) burden, and arteriolosclerosis as a measure of SVD. Biochemical assessment included Wallerian degeneration-associated protease calpain and the myelin-associated glycoprotein to proteolipid protein ratio as a measure of ante-mortem ischaemia. Arteriolosclerosis severity was found to be associated with and a significant predictor of frontal WML severity in both AD and non-demented controls. Interesting, frontal axonal loss was also associated with HPτ and calpain levels were associated with increasing Aβ burden in the AD group, suggestive of an additional degenerative influence. To conclude, this pilot data suggest that frontal WML in AD may result from both increased arteriolosclerosis and AD-associated degenerative changes. These preliminary findings in combination with previously published data tentatively indicate regional differences in the aetiology of WML in AD, which should be considered in the clinical diagnosis of dementia subtypes: posterior WML maybe associated with degenerative mechanisms secondary to AD pathology, while anterior WML could be associated with both SVD-associated and degenerative mechanisms.
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Affiliation(s)
- Kirsty E McAleese
- Translation and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, NE4 5PL, UK.
| | - Mohi Miah
- Translation and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, NE4 5PL, UK
| | - Sophie Graham
- Translation and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, NE4 5PL, UK
| | - Georgina M Hadfield
- Translation and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, NE4 5PL, UK
| | - Lauren Walker
- Translation and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, NE4 5PL, UK
| | - Mary Johnson
- Translation and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, NE4 5PL, UK
| | - Sean J Colloby
- Translation and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, NE4 5PL, UK
| | - Alan J Thomas
- Translation and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, NE4 5PL, UK
| | - Charles DeCarli
- Department of Neurology, University of California, Davis, CA, USA
| | - David Koss
- Translation and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, NE4 5PL, UK
| | - Johannes Attems
- Translation and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, NE4 5PL, UK
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16
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Simon C, Soga T, Okano HJ, Parhar I. α-Synuclein-mediated neurodegeneration in Dementia with Lewy bodies: the pathobiology of a paradox. Cell Biosci 2021; 11:196. [PMID: 34798911 PMCID: PMC8605528 DOI: 10.1186/s13578-021-00709-y] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2021] [Accepted: 11/05/2021] [Indexed: 11/16/2022] Open
Abstract
Dementia with Lewy bodies (DLB) is epitomized by the pathognomonic manifestation of α-synuclein-laden Lewy bodies within selectively vulnerable neurons in the brain. By virtue of prion-like inheritance, the α-synuclein protein inexorably undergoes extensive conformational metamorphoses and culminate in the form of fibrillar polymorphs, instigating calamitous damage to the brain's neuropsychological networks. This epiphenomenon is nebulous, however, by lingering uncertainty over the quasi "pathogenic" behavior of α-synuclein conformers in DLB pathobiology. Despite numerous attempts, a monolithic "α-synuclein" paradigm that is able to untangle the enigma enshrouding the clinicopathological spectrum of DLB has failed to emanate. In this article, we review conceptual frameworks of α-synuclein dependent cell-autonomous and non-autonomous mechanisms that are likely to facilitate the transneuronal spread of degeneration through the neuraxis. In particular, we describe how the progressive demise of susceptible neurons may evolve from cellular derangements perpetrated by α-synuclein misfolding and aggregation. Where pertinent, we show how these bona fide mechanisms may mutually accentuate α-synuclein-mediated neurodegeneration in the DLB brain.
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Affiliation(s)
- Christopher Simon
- Brain Research Institute, Jeffrey Cheah School of Medicine and Health Sciences, Monash University Malaysia, Bandar Sunway, Selangor, Malaysia
| | - Tomoko Soga
- Brain Research Institute, Jeffrey Cheah School of Medicine and Health Sciences, Monash University Malaysia, Bandar Sunway, Selangor, Malaysia
| | - Hirotaka James Okano
- Division of Regenerative Medicine, Research Center for Medical Sciences, The Jikei University School of Medicine, Tokyo, Japan
| | - Ishwar Parhar
- Brain Research Institute, Jeffrey Cheah School of Medicine and Health Sciences, Monash University Malaysia, Bandar Sunway, Selangor, Malaysia
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17
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Dalkner N, Bengesser S, Birner A, Rieger A, Seebauer J, Platzer M, Hamm C, Maget A, Queissner R, Pilz R, Fellendorf FT, Reininghaus B, Strassnig MT, Kapfhammer HP, Weiss EM, Reininghaus EZ. Body Mass Index Predicts Decline in Executive Function in Bipolar Disorder: Preliminary Data of a 12-Month Follow-up Study. Neuropsychobiology 2021; 80:1-11. [PMID: 32454501 DOI: 10.1159/000505784] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/30/2019] [Accepted: 01/05/2020] [Indexed: 11/19/2022]
Abstract
INTRODUCTION Obesity and associated risk factors have been linked to cognitive decline before. OBJECTIVES In the present study, we evaluated potential cumulative negative effects of overweight and obesity on cognitive performance in euthymic patients with bipolar disorder (BD) in a longitudinal design. METHODS Neurocognitive measures (California Verbal Learning Test, Trail Making Test [TMT] A/B, Digit-Symbol-Test, Digit-Span, d2 Test), anthropometrics (e.g., body mass index [BMI]), and clinical ratings (Hamilton Depression Scale, Young Mania Rating Scale) were collected over a 12-month observation period. Follow-up data of 38 patients with BD (mean age 40 years; 15 males, 23 females) were available. RESULTS High baseline BMI predicted a decrease in the patient's performance in the Digit-Span backwards task measuring working memory performance. In contrast, cognitive performance was not predicted by increases in BMI at follow-up. Normal weight bipolar patients (n = 19) improved their performance on the TMT B, measuring cognitive flexibility and executive functioning, within 1 year, while overweight bipolar patients (n = 19) showed no change in this task. CONCLUSIONS The results suggest that overweight can predict cognitive performance changes over 12 months.
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Affiliation(s)
- Nina Dalkner
- Department of Psychiatry and Psychotherapeutic Medicine, Medical University Graz, Graz, Austria
| | - Susanne Bengesser
- Department of Psychiatry and Psychotherapeutic Medicine, Medical University Graz, Graz, Austria,
| | - Armin Birner
- Department of Psychiatry and Psychotherapeutic Medicine, Medical University Graz, Graz, Austria
| | - Alexandra Rieger
- Department of Psychiatry and Psychotherapeutic Medicine, Medical University Graz, Graz, Austria
| | - Julia Seebauer
- Department of Biological Psychology, University of Graz, Graz, Austria
| | - Martina Platzer
- Department of Psychiatry and Psychotherapeutic Medicine, Medical University Graz, Graz, Austria
| | - Carlo Hamm
- Department of Psychiatry and Psychotherapeutic Medicine, Medical University Graz, Graz, Austria
| | - Alexander Maget
- Department of Psychiatry and Psychotherapeutic Medicine, Medical University Graz, Graz, Austria
| | - Robert Queissner
- Department of Psychiatry and Psychotherapeutic Medicine, Medical University Graz, Graz, Austria
| | - René Pilz
- Department of Psychiatry and Psychotherapeutic Medicine, Medical University Graz, Graz, Austria
| | - Frederike T Fellendorf
- Department of Psychiatry and Psychotherapeutic Medicine, Medical University Graz, Graz, Austria
| | - Bernd Reininghaus
- Department of Psychiatry and Psychotherapeutic Medicine, Medical University Graz, Graz, Austria
| | - Martin T Strassnig
- Department of Integrated Medical Science, Florida Atlantic University, Charles E. Schmidt College of Medicine, Boca Raton, Florida, USA
| | - Hans-Peter Kapfhammer
- Department of Psychiatry and Psychotherapeutic Medicine, Medical University Graz, Graz, Austria
| | - Elisabeth M Weiss
- Department of Biological Psychology, University of Graz, Graz, Austria.,Department of Psychology, University of Innsbruck, Clinical Psychology, Innsbruck, Austria
| | - Eva Z Reininghaus
- Department of Psychiatry and Psychotherapeutic Medicine, Medical University Graz, Graz, Austria
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18
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Park M, Baik K, Lee YG, Kang SW, Jung JH, Jeong SH, Lee PH, Sohn YH, Ye BS. Implication of Small Vessel Disease MRI Markers in Alzheimer's Disease and Lewy Body Disease. J Alzheimers Dis 2021; 83:545-556. [PMID: 34366356 DOI: 10.3233/jad-210669] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/25/2023]
Abstract
BACKGROUND Small vessel disease (SVD) magnetic resonance imaging (MRI) markers including deep and periventricular white matter hyperintensities (PWMH), lacunes, and microbleeds are frequently observed in Alzheimer's disease (AD) and Lewy body disease (LBD), but their implication has not been clearly elucidated. OBJECTIVE To investigate the implication of SVD MRI markers in cognitively impaired patients with AD and/or LBD. METHODS We consecutively recruited 57 patients with pure AD-related cognitive impairment (ADCI), 49 with pure LBD-related cognitive impairment (LBCI), 45 with mixed ADCI/LBCI, and 34 controls. All participants underwent neuropsychological tests, brain MRI, and amyloid positron emission tomography. SVD MRI markers including the severity of deep and PWMH and the number of lacunes and microbleeds were visually rated. The relationships among vascular risk factors, SVD MRI markers, ADCI, LBCI, and cognitive scores were investigated after controlling for appropriate covariates. RESULTS LBCI was associated with more severe PWMH, which was conversely associated with an increased risk of LBCI independently of vascular risk factors and ADCI. PWMH was associated with attention and visuospatial dysfunction independently of vascular risk factors, ADCI, and LBCI. Both ADCI and LBCI were associated with more lobar microbleeds, but not with deep microbleeds. CONCLUSION Our findings suggest that PWMH could reflect degenerative process related with LBD, and both AD and LBD independently increase lobar microbleeds.
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Affiliation(s)
- Mincheol Park
- Department of Neurology, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Kyoungwon Baik
- Department of Neurology, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Young-Gun Lee
- Department of Neurology, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Sung Woo Kang
- Department of Neurology, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Jin Ho Jung
- Department of Neurology, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Seong Ho Jeong
- Department of Neurology, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Phil Hyu Lee
- Department of Neurology, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Young H Sohn
- Department of Neurology, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Byoung Seok Ye
- Department of Neurology, Yonsei University College of Medicine, Seoul, Republic of Korea
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19
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Ozato N, Saitou S, Yamaguchi T, Katashima M, Misawa M, Jung S, Mori K, Kawada H, Katsuragi Y, Mikami T, Nakaji S. Association between Visceral Fat and Brain Structural Changes or Cognitive Function. Brain Sci 2021; 11:brainsci11081036. [PMID: 34439655 PMCID: PMC8391376 DOI: 10.3390/brainsci11081036] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2021] [Revised: 07/29/2021] [Accepted: 08/02/2021] [Indexed: 01/16/2023] Open
Abstract
Visceral fat accumulation is an independent risk factor for cardiovascular disease and mortality. Visceral fat is a causal risk factor for hypertension and type 2 diabetes, which was reported as one of the risk factors for dementia. Visceral fat areas (VFA) might be clinically important to prevent dementia; however, the association between VFA and cognitive function in the elderly remains unknown. We aimed to evaluate the association between brain structural abnormalities using magnetic resonance imaging (MRI) and VFA, and the association between cognitive function and VFA, in the elderly. A total of 2364 healthy individuals were enrolled, and we excluded those diagnosed with dementia. Participants were divided into a high-VFA and a low-VFA group based on median VFA. The high-VFA group had significantly lower cognitive function than the low-VFA group (p = 0.025), after adjustment for related factors using a linear regression model. Regarding brain structure in MRI, VFA remained significantly associated with white matter lesions (odds ratio (OR), 1.90; 95% confidence interval (1.33-2.70); adjusted p < 0.001) and perivascular space (OR, 1.28; 95% confidence interval (1.02-1.61); adjusted p = 0.033). Further follow-up studies are needed, but reducing visceral fat might be important, not only to prevent cardiovascular disease but also to prevent dementia.
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Affiliation(s)
- Naoki Ozato
- Department of Active Life Promotion Sciences, Graduate School of Medicine, Hirosaki University, Hirosaki City 036-8562, Japan; (M.K.); (K.M.); (Y.K.)
- Health & Wellness Products Research Laboratories, Kao Corporation, Tokyo 131-8501, Japan; (T.Y.); (H.K.)
- Correspondence: ; Tel.: +81-(0)172-39-5041
| | - Shinnichiro Saitou
- Biological Science Research Laboratories, Kao Corporation, Tokyo 131-8501, Japan;
| | - Tohru Yamaguchi
- Health & Wellness Products Research Laboratories, Kao Corporation, Tokyo 131-8501, Japan; (T.Y.); (H.K.)
| | - Mitsuhiro Katashima
- Department of Active Life Promotion Sciences, Graduate School of Medicine, Hirosaki University, Hirosaki City 036-8562, Japan; (M.K.); (K.M.); (Y.K.)
- Health & Wellness Products Research Laboratories, Kao Corporation, Tokyo 131-8501, Japan; (T.Y.); (H.K.)
| | - Mina Misawa
- COI Research Initiatives Organization, Graduate School of Medicine, Hirosaki University, Hirosaki City 036-8562, Japan; (M.M.); (S.J.)
| | - Songee Jung
- COI Research Initiatives Organization, Graduate School of Medicine, Hirosaki University, Hirosaki City 036-8562, Japan; (M.M.); (S.J.)
| | - Kenta Mori
- Department of Active Life Promotion Sciences, Graduate School of Medicine, Hirosaki University, Hirosaki City 036-8562, Japan; (M.K.); (K.M.); (Y.K.)
- Health & Wellness Products Research Laboratories, Kao Corporation, Tokyo 131-8501, Japan; (T.Y.); (H.K.)
| | - Hiromitsu Kawada
- Health & Wellness Products Research Laboratories, Kao Corporation, Tokyo 131-8501, Japan; (T.Y.); (H.K.)
| | - Yoshihisa Katsuragi
- Department of Active Life Promotion Sciences, Graduate School of Medicine, Hirosaki University, Hirosaki City 036-8562, Japan; (M.K.); (K.M.); (Y.K.)
- Health & Wellness Products Research Laboratories, Kao Corporation, Tokyo 131-8501, Japan; (T.Y.); (H.K.)
| | - Tatsuya Mikami
- Innovation Center for Health Promotion, Hirosaki University Graduate School of Medicine, Hirosaki City 036-8562, Japan;
| | - Shigeyuki Nakaji
- Department of Social Medicine, Graduate School of Medicine, Hirosaki University, Hirosaki City 036-8562, Japan;
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20
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Kim M, Park SW, Lee JY, Kim H, Rhim JH, Park S, Lee JY, Son H, Kim YK, Lee SH. Differences in Brain Morphology between Hydrocephalus Ex Vacuo and Idiopathic Normal Pressure Hydrocephalus. Psychiatry Investig 2021; 18:628-635. [PMID: 34265199 PMCID: PMC8328827 DOI: 10.30773/pi.2020.0352] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/17/2020] [Accepted: 04/10/2021] [Indexed: 11/27/2022] Open
Abstract
OBJECTIVE The distinction between idiopathic normal pressure hydrocephalus (iNPH) and hydrocephalus ex vacuo caused by encephalic volume loss remains to be established. This study aims to investigate radiological parameters as clinically useful tools to discriminate iNPH from hydrocephalus ex vacuo caused by Alzheimer's disease (AD). METHODS A total of 54 patients with ventriculomegaly (iNPH, 25; hydrocephalus ex vacuo, 29) were recruited in this study. Consequently, nine radiological parameters were compared between iNPH and hydrocephalus ex vacuo using magnetic resonance imaging (MRI). RESULTS A small callosal angle (CA), the Sylvian fissure dilatation, and absence of narrowing of superior parietal sulci discriminated the iNPH group from the hydrocephalus ex vacuo group (p<0.05). The final binary logistic regression model included narrowing of superior parietal sulci, degrees of the CA, and height of the Sylvian fissure after controlling for age and global Clinical Dementia Rating (CDR). The composite score made from these three indicators (narrowing of superior parietal sulci, degrees of the CA, and height of the Sylvian fissure) was statistically different between iNPH and hydrocephalus ex vacuo. CONCLUSION The narrowing of the CA, dilatation of the Sylvain fissure, and narrowing of superior parietal sulci may be used as radiological key indices and noninvasive tools for the differential diagnosis of iNPH from hydrocephalus ex vacuo.
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Affiliation(s)
- Minkyung Kim
- Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Sun-Won Park
- Department of Radiology, SMG-SNU Boramae Medical Center, Seoul, Republic of Korea.,Department of Radiology, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Jun-Young Lee
- Department of Psychiatry, Seoul National University College of Medicine & SMG-SNU Boramae Medical Center, Seoul, Republic of Korea
| | - Hongrae Kim
- Department of Psychiatry, Seoul National University College of Medicine & SMG-SNU Boramae Medical Center, Seoul, Republic of Korea
| | - Jung Hyo Rhim
- Department of Radiology, SMG-SNU Boramae Medical Center, Seoul, Republic of Korea
| | - Soowon Park
- Department of Teacher Education, College of Liberal Arts and Interdisciplinary Studies, Kyonggi University, Suwon, Republic of Korea
| | - Jee-Young Lee
- Department of Neurology, SMG-SNU Boramae Medical Center, Seoul, Republic of Korea
| | - Hwancheol Son
- Department of Urology, Seoul National University College of Medicine & SMG-SNU Boramae Medical Center, Seoul, Republic of Korea
| | - Yu Kyeong Kim
- Department of Nuclear Medicine, SMG-SNU Boramae Medical Center, Seoul, Republic of Korea
| | - Sang Hyung Lee
- Department of Neurosurgery, Seoul National University College of Medicine & SMG-SNU Boramae Medical Center, Seoul, Republic of Korea
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21
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Dadar M, Potvin O, Camicioli R, Duchesne S. Beware of white matter hyperintensities causing systematic errors in FreeSurfer gray matter segmentations! Hum Brain Mapp 2021; 42:2734-2745. [PMID: 33783933 PMCID: PMC8127151 DOI: 10.1002/hbm.25398] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2020] [Revised: 02/19/2021] [Accepted: 02/19/2021] [Indexed: 12/11/2022] Open
Abstract
Volumetric estimates of subcortical and cortical structures, extracted from T1-weighted MRIs, are widely used in many clinical and research applications. Here, we investigate the impact of the presence of white matter hyperintensities (WMHs) on FreeSurfer gray matter (GM) structure volumes and its possible bias on functional relationships. T1-weighted images from 1,077 participants (4,321 timepoints) from the Alzheimer's Disease Neuroimaging Initiative were processed with FreeSurfer version 6.0.0. WMHs were segmented using a previously validated algorithm on either T2-weighted or Fluid-attenuated inversion recovery images. Mixed-effects models were used to assess the relationships between overlapping WMHs and GM structure volumes and overall WMH burden, as well as to investigate whether such overlaps impact associations with age, diagnosis, and cognitive performance. Participants with higher WMH volumes had higher overlaps with GM volumes of bilateral caudate, cerebral cortex, putamen, thalamus, pallidum, and accumbens areas (p < .0001). When not corrected for WMHs, caudate volumes increased with age (p < .0001) and were not different between cognitively healthy individuals and age-matched probable Alzheimer's disease patients. After correcting for WMHs, caudate volumes decreased with age (p < .0001), and Alzheimer's disease patients had lower caudate volumes than cognitively healthy individuals (p < .01). Uncorrected caudate volume was not associated with ADAS13 scores, whereas corrected lower caudate volumes were significantly associated with poorer cognitive performance (p < .0001). Presence of WMHs leads to systematic inaccuracies in GM segmentations, particularly for the caudate, which can also change clinical associations. While specifically measured for the Freesurfer toolkit, this problem likely affects other algorithms.
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Affiliation(s)
- Mahsa Dadar
- CERVO Brain Research CenterCentre intégré universitaire santé et services sociaux de la Capitale NationaleQuébecQuebecCanada
| | - Olivier Potvin
- CERVO Brain Research CenterCentre intégré universitaire santé et services sociaux de la Capitale NationaleQuébecQuebecCanada
| | - Richard Camicioli
- Department of Medicine, Division of NeurologyUniversity of AlbertaEdmontonAlbertaCanada
| | - Simon Duchesne
- CERVO Brain Research CenterCentre intégré universitaire santé et services sociaux de la Capitale NationaleQuébecQuebecCanada
- Department of Radiology and Nuclear Medicine, Faculty of MedicineUniversité LavalQuébecQuebecCanada
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22
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Feng T, Yamashita T, Sasaki R, Tadokoro K, Matsumoto N, Hishikawa N, Abe K. Protective effects of edaravone on white matter pathology in a novel mouse model of Alzheimer's disease with chronic cerebral hypoperfusion. J Cereb Blood Flow Metab 2021; 41:1437-1448. [PMID: 33106078 PMCID: PMC8142121 DOI: 10.1177/0271678x20968927] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
White matter lesions (WMLs) caused by cerebral chronic hypoperfusion (CCH) may contribute to the pathophysiology of Alzheimer's disease (AD). However, the underlying mechanisms and therapeutic approaches have yet to be totally identified. In the present study, we investigated a potential therapeutic effect of the free radical scavenger edaravone (EDA) on WMLs in our previously reported novel mouse model of AD (APP23) plus CCH with motor and cognitive deficits. Relative to AD with CCH mice at 12 months (M) of age, EDA strongly improved CCH-induced WMLs in the corpus callosum of APP23 mice at 12 M by improving the disruption of white matter integrity, enhancing the proliferation of oligodendrocyte progenitor cells, attenuating endothelium/astrocyte unit dysfunction, and reducing neuroinflammation and oxidative stress. The present study demonstrates that the long-term administration of EDA may provide a promising therapeutic approach for WMLs in AD plus CCH disease with cognitive deficits.
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Affiliation(s)
- Tian Feng
- Department of Neurology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University, Okayama, Japan
| | - Toru Yamashita
- Department of Neurology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University, Okayama, Japan
| | - Ryo Sasaki
- Department of Neurology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University, Okayama, Japan
| | - Koh Tadokoro
- Department of Neurology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University, Okayama, Japan
| | - Namiko Matsumoto
- Department of Neurology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University, Okayama, Japan
| | - Nozomi Hishikawa
- Department of Neurology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University, Okayama, Japan
| | - Koji Abe
- Department of Neurology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University, Okayama, Japan
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23
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Ferreira D, Nedelska Z, Graff-Radford J, Przybelski SA, Lesnick TG, Schwarz CG, Botha H, Senjem ML, Fields JA, Knopman DS, Savica R, Ferman TJ, Graff-Radford NR, Lowe VJ, Jack CR, Petersen RC, Lemstra AW, van de Beek M, Barkhof F, Blanc F, Loureiro de Sousa P, Philippi N, Cretin B, Demuynck C, Hort J, Oppedal K, Boeve BF, Aarsland D, Westman E, Kantarci K. Cerebrovascular disease, neurodegeneration, and clinical phenotype in dementia with Lewy bodies. Neurobiol Aging 2021; 105:252-261. [PMID: 34130107 DOI: 10.1016/j.neurobiolaging.2021.04.029] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2020] [Revised: 04/26/2021] [Accepted: 04/28/2021] [Indexed: 11/29/2022]
Abstract
We investigated whether cerebrovascular disease contributes to neurodegeneration and clinical phenotype in dementia with Lewy bodies (DLB). Regional cortical thickness and subcortical gray matter volumes were estimated from structural magnetic resonance imaging (MRI) in 165 DLB patients. Cortical and subcortical infarcts were recorded and white matter hyperintensities (WMHs) were assessed. Subcortical only infarcts were more frequent (13.3%) than cortical only infarcts (3.1%) or both subcortical and cortical infarcts (2.4%). Infarcts, irrespective of type, were associated with WMHs. A higher WMH volume was associated with thinner orbitofrontal, retrosplenial, and posterior cingulate cortices, smaller thalamus and pallidum, and larger caudate volume. A higher WMH volume was associated with the presence of visual hallucinations and lower global cognitive performance, and tended to be associated with the absence of probable rapid eye movement sleep behavior disorder. Presence of infarcts was associated with the absence of parkinsonism. We conclude that cerebrovascular disease is associated with gray matter neurodegeneration in patients with probable DLB, which may have implications for the multifactorial treatment of probable DLB.
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Affiliation(s)
- Daniel Ferreira
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet, Stockholm, Sweden; Department of Radiology, Mayo Clinic, Rochester, MN, USA
| | - Zuzana Nedelska
- Department of Radiology, Mayo Clinic, Rochester, MN, USA; Department of Neurology, Charles University, 2nd Faculty of Medicine, Motol University Hospital, Prague, Czech Republic
| | | | | | | | | | - Hugo Botha
- Department of Neurology, Mayo Clinic, Rochester, MN, USA
| | - Matthew L Senjem
- Department of Radiology, Mayo Clinic, Rochester, MN, USA; Department of Information Technology, Mayo Clinic, Rochester, MN, USA
| | - Julie A Fields
- Department of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, USA
| | | | - Rodolfo Savica
- Department of Neurology, Mayo Clinic, Rochester, MN, USA
| | - Tanis J Ferman
- Department of Psychiatry and Psychology, Mayo Clinic, Jacksonville, FL
| | | | - Val J Lowe
- Department of Radiology, Mayo Clinic, Rochester, MN, USA
| | | | | | - Afina W Lemstra
- Department of Neurology and Alzheimer Center, VU University Medical Center, Amsterdam, Netherlands
| | - Marleen van de Beek
- Department of Neurology and Alzheimer Center, VU University Medical Center, Amsterdam, Netherlands
| | - Frederik Barkhof
- Department of Radiology and Nuclear Medicine, VU University Medical Center, Amsterdam, Netherlands; Queen Square Institute of Neurology, University College London, London, UK
| | - Frederic Blanc
- Day Hospital of Geriatrics, Memory Resource and Research Centre (CM2R) of Strasbourg, Department of Geriatrics, Hopitaux Universitaires de Strasbourg, Strasbourg, France; University of Strasbourg and French National Centre for Scientific Research (CNRS), ICube Laboratory and Federation de Medecine Translationnelle de Strasbourg (FMTS), Team Imagerie Multimodale Integrative en Sante (IMIS)/ICONE, Strasbourg, France
| | - Paulo Loureiro de Sousa
- Day Hospital of Geriatrics, Memory Resource and Research Centre (CM2R) of Strasbourg, Department of Geriatrics, Hopitaux Universitaires de Strasbourg, Strasbourg, France; University of Strasbourg and French National Centre for Scientific Research (CNRS), ICube Laboratory and Federation de Medecine Translationnelle de Strasbourg (FMTS), Team Imagerie Multimodale Integrative en Sante (IMIS)/ICONE, Strasbourg, France
| | - Nathalie Philippi
- Day Hospital of Geriatrics, Memory Resource and Research Centre (CM2R) of Strasbourg, Department of Geriatrics, Hopitaux Universitaires de Strasbourg, Strasbourg, France; University of Strasbourg and French National Centre for Scientific Research (CNRS), ICube Laboratory and Federation de Medecine Translationnelle de Strasbourg (FMTS), Team Imagerie Multimodale Integrative en Sante (IMIS)/ICONE, Strasbourg, France
| | - Benjamin Cretin
- Day Hospital of Geriatrics, Memory Resource and Research Centre (CM2R) of Strasbourg, Department of Geriatrics, Hopitaux Universitaires de Strasbourg, Strasbourg, France; University of Strasbourg and French National Centre for Scientific Research (CNRS), ICube Laboratory and Federation de Medecine Translationnelle de Strasbourg (FMTS), Team Imagerie Multimodale Integrative en Sante (IMIS)/ICONE, Strasbourg, France
| | - Catherine Demuynck
- Day Hospital of Geriatrics, Memory Resource and Research Centre (CM2R) of Strasbourg, Department of Geriatrics, Hopitaux Universitaires de Strasbourg, Strasbourg, France; University of Strasbourg and French National Centre for Scientific Research (CNRS), ICube Laboratory and Federation de Medecine Translationnelle de Strasbourg (FMTS), Team Imagerie Multimodale Integrative en Sante (IMIS)/ICONE, Strasbourg, France
| | - Jakub Hort
- Department of Neurology, Charles University, 2nd Faculty of Medicine, Motol University Hospital, Prague, Czech Republic; International Clinical Research Center, St. Anne's University Hospital Brno, Brno, Czech Republic
| | - Ketil Oppedal
- Centre for Age-Related Medicine, Stavanger University Hospital, Stavanger, Norway; Stavanger Medical Imaging Laboratory (SMIL), Department of Radiology, Stavanger University Hospital, Stavanger, Norway; Department of Electrical Engineering and Computer Science, University of Stavanger, Stavanger, Norway
| | | | - Dag Aarsland
- Centre for Age-Related Medicine, Stavanger University Hospital, Stavanger, Norway; Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Eric Westman
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet, Stockholm, Sweden; Department of Neuroimaging, Centre for Neuroimaging Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Kejal Kantarci
- Department of Radiology, Mayo Clinic, Rochester, MN, USA.
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24
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Park G, Hong J, Duffy BA, Lee JM, Kim H. White matter hyperintensities segmentation using the ensemble U-Net with multi-scale highlighting foregrounds. Neuroimage 2021; 237:118140. [PMID: 33957235 PMCID: PMC8382044 DOI: 10.1016/j.neuroimage.2021.118140] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2020] [Revised: 04/13/2021] [Accepted: 04/16/2021] [Indexed: 01/18/2023] Open
Abstract
White matter hyperintensities (WMHs) are abnormal signals within the white matter region on the human brain MRI and have been associated with aging processes, cognitive decline, and dementia. In the current study, we proposed a U-Net with multi-scale highlighting foregrounds (HF) for WMHs segmentation. Our method, U-Net with HF, is designed to improve the detection of the WMH voxels with partial volume effects. We evaluated the segmentation performance of the proposed approach using the Challenge training dataset. Then we assessed the clinical utility of the WMH volumes that were automatically computed using our method and the Alzheimer’s Disease Neuroimaging Initiative database. We demonstrated that the U-Net with HF significantly improved the detection of the WMH voxels at the boundary of the WMHs or in small WMH clusters quantitatively and qualitatively. Up to date, the proposed method has achieved the best overall evaluation scores, the highest dice similarity index, and the best F1-score among 39 methods submitted on the WMH Segmentation Challenge that was initially hosted by MICCAI 2017 and is continuously accepting new challengers. The evaluation of the clinical utility showed that the WMH volume that was automatically computed using U-Net with HF was significantly associated with cognitive performance and improves the classification between cognitive normal and Alzheimer’s disease subjects and between patients with mild cognitive impairment and those with Alzheimer’s disease. The implementation of our proposed method is publicly available using Dockerhub (https://hub.docker.com/r/wmhchallenge/pgs).
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Affiliation(s)
- Gilsoon Park
- Department of Biomedical Engineering, Hanyang University, Seoul, South Korea
| | - Jinwoo Hong
- Department of Biomedical Engineering, Hanyang University, Seoul, South Korea
| | - Ben A Duffy
- USC Mark and Mary Stevens Neuroimaging and Informatics Institute, University of Southern California, Los Angeles, CA 90033, USA
| | - Jong-Min Lee
- Department of Biomedical Engineering, Hanyang University, Seoul, South Korea.
| | - Hosung Kim
- USC Mark and Mary Stevens Neuroimaging and Informatics Institute, University of Southern California, Los Angeles, CA 90033, USA
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25
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Armstrong RA. Visual signs and symptoms of dementia with Lewy bodies. Clin Exp Optom 2021; 95:621-30. [DOI: 10.1111/j.1444-0938.2012.00770.x] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2011] [Revised: 01/31/2012] [Accepted: 04/03/2012] [Indexed: 11/28/2022] Open
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Conrad F, Hirsiger S, Winklhofer S, Baumgartner MR, Stämpfli P, Seifritz E, Wegener S, Quednow BB. Use of levamisole-adulterated cocaine is associated with increased load of white matter lesions. J Psychiatry Neurosci 2021; 46:E281-E291. [PMID: 33844483 PMCID: PMC8061741 DOI: 10.1503/jpn.200057] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/25/2020] [Revised: 09/17/2020] [Accepted: 09/29/2020] [Indexed: 12/03/2022] Open
Abstract
Background Cocaine use has been associated with vascular pathologies, including cerebral white matter hyperintensities. Street cocaine is most often adulterated with levamisole, an anthelminthic drug that may also be associated with vascular toxicity. However, whether levamisole exposure from cocaine consumption further accelerates the development of white matter lesions remains unknown. Methods We investigated the association of cocaine and levamisole exposure with white matter hyperintensities in 35 chronic cocaine users and 34 healthy controls. We measured cocaine and levamisole concentrations in hair samples, which reflected exposure up to 6 months previously. We assessed the number and total surface area of the white matter hyperintensities using structural MRI (FLAIR sequence). Using generalized linear models, we analyzed the contributions of cocaine and levamisole to the number and area of white matter hyperintensities, accounting for several confounding factors. Results Analysis using generalized linear models revealed that cocaine users had more white matter hyperintensities in terms of total surface area, but not in terms of number. Further generalized linear models that included cocaine and levamisole hair concentrations (instead of group) as predictors indicated that levamisole exposure was strongly associated with more and larger white matter hyperintensities, suggesting that the elevated white matter hyperintensities in cocaine users were driven mainly by levamisole exposure. Finally, white matter hyperintensities in levamisole-exposed cocaine users were located primarily in the periventricular and juxtacortical white matter. Limitations The sample size was moderate, and blood pressure was not systematically assessed. Conclusion As an adulterant of cocaine, levamisole appears to increase the risk of white matter injury.
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Affiliation(s)
- Florian Conrad
- From the Department of Neurology, University Hospital Zurich, University of Zurich, Switzerland (Conrad, Wegener); the Department of Psychiatry, Psychotherapy, and Psychosomatics, Psychiatric University Hospital, University of Zurich, Switzerland (Hirsiger, Stämpfli, Seifritz, Quednow); the Department of Neuroradiology, University Hospital Zürich, University of Zurich, Switzerland (Winklhofer); the Center of Forensic Hair Analytics, Institute of Forensic Medicine, University of Zurich, Switzerland (Baumgartner); and the Neuroscience Center Zurich, University of Zurich and Swiss Federal Institute of Technology Zurich, Switzerland (Seifritz, Wegener, Quednow)
| | - Sarah Hirsiger
- From the Department of Neurology, University Hospital Zurich, University of Zurich, Switzerland (Conrad, Wegener); the Department of Psychiatry, Psychotherapy, and Psychosomatics, Psychiatric University Hospital, University of Zurich, Switzerland (Hirsiger, Stämpfli, Seifritz, Quednow); the Department of Neuroradiology, University Hospital Zürich, University of Zurich, Switzerland (Winklhofer); the Center of Forensic Hair Analytics, Institute of Forensic Medicine, University of Zurich, Switzerland (Baumgartner); and the Neuroscience Center Zurich, University of Zurich and Swiss Federal Institute of Technology Zurich, Switzerland (Seifritz, Wegener, Quednow)
| | - Sebastian Winklhofer
- From the Department of Neurology, University Hospital Zurich, University of Zurich, Switzerland (Conrad, Wegener); the Department of Psychiatry, Psychotherapy, and Psychosomatics, Psychiatric University Hospital, University of Zurich, Switzerland (Hirsiger, Stämpfli, Seifritz, Quednow); the Department of Neuroradiology, University Hospital Zürich, University of Zurich, Switzerland (Winklhofer); the Center of Forensic Hair Analytics, Institute of Forensic Medicine, University of Zurich, Switzerland (Baumgartner); and the Neuroscience Center Zurich, University of Zurich and Swiss Federal Institute of Technology Zurich, Switzerland (Seifritz, Wegener, Quednow)
| | - Markus R Baumgartner
- From the Department of Neurology, University Hospital Zurich, University of Zurich, Switzerland (Conrad, Wegener); the Department of Psychiatry, Psychotherapy, and Psychosomatics, Psychiatric University Hospital, University of Zurich, Switzerland (Hirsiger, Stämpfli, Seifritz, Quednow); the Department of Neuroradiology, University Hospital Zürich, University of Zurich, Switzerland (Winklhofer); the Center of Forensic Hair Analytics, Institute of Forensic Medicine, University of Zurich, Switzerland (Baumgartner); and the Neuroscience Center Zurich, University of Zurich and Swiss Federal Institute of Technology Zurich, Switzerland (Seifritz, Wegener, Quednow)
| | - Philipp Stämpfli
- From the Department of Neurology, University Hospital Zurich, University of Zurich, Switzerland (Conrad, Wegener); the Department of Psychiatry, Psychotherapy, and Psychosomatics, Psychiatric University Hospital, University of Zurich, Switzerland (Hirsiger, Stämpfli, Seifritz, Quednow); the Department of Neuroradiology, University Hospital Zürich, University of Zurich, Switzerland (Winklhofer); the Center of Forensic Hair Analytics, Institute of Forensic Medicine, University of Zurich, Switzerland (Baumgartner); and the Neuroscience Center Zurich, University of Zurich and Swiss Federal Institute of Technology Zurich, Switzerland (Seifritz, Wegener, Quednow)
| | - Erich Seifritz
- From the Department of Neurology, University Hospital Zurich, University of Zurich, Switzerland (Conrad, Wegener); the Department of Psychiatry, Psychotherapy, and Psychosomatics, Psychiatric University Hospital, University of Zurich, Switzerland (Hirsiger, Stämpfli, Seifritz, Quednow); the Department of Neuroradiology, University Hospital Zürich, University of Zurich, Switzerland (Winklhofer); the Center of Forensic Hair Analytics, Institute of Forensic Medicine, University of Zurich, Switzerland (Baumgartner); and the Neuroscience Center Zurich, University of Zurich and Swiss Federal Institute of Technology Zurich, Switzerland (Seifritz, Wegener, Quednow)
| | - Susanne Wegener
- From the Department of Neurology, University Hospital Zurich, University of Zurich, Switzerland (Conrad, Wegener); the Department of Psychiatry, Psychotherapy, and Psychosomatics, Psychiatric University Hospital, University of Zurich, Switzerland (Hirsiger, Stämpfli, Seifritz, Quednow); the Department of Neuroradiology, University Hospital Zürich, University of Zurich, Switzerland (Winklhofer); the Center of Forensic Hair Analytics, Institute of Forensic Medicine, University of Zurich, Switzerland (Baumgartner); and the Neuroscience Center Zurich, University of Zurich and Swiss Federal Institute of Technology Zurich, Switzerland (Seifritz, Wegener, Quednow)
| | - Boris B Quednow
- From the Department of Neurology, University Hospital Zurich, University of Zurich, Switzerland (Conrad, Wegener); the Department of Psychiatry, Psychotherapy, and Psychosomatics, Psychiatric University Hospital, University of Zurich, Switzerland (Hirsiger, Stämpfli, Seifritz, Quednow); the Department of Neuroradiology, University Hospital Zürich, University of Zurich, Switzerland (Winklhofer); the Center of Forensic Hair Analytics, Institute of Forensic Medicine, University of Zurich, Switzerland (Baumgartner); and the Neuroscience Center Zurich, University of Zurich and Swiss Federal Institute of Technology Zurich, Switzerland (Seifritz, Wegener, Quednow)
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Validation of Parametric Methods for [ 11C]UCB-J PET Imaging Using Subcortical White Matter as Reference Tissue. Mol Imaging Biol 2021; 22:444-452. [PMID: 31209780 DOI: 10.1007/s11307-019-01387-6] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
Abstract
PURPOSE The aim of this study was to evaluate different non-invasive methods for generating (R)-1-((3-([11C]methyl)pyridin-4-yl)methyl)-4-(3,4,5-trifluorophenyl)pyrrolidin-2-one) ([11C]UCB-J) parametric maps using white matter (centrum semi-ovale-SO) as reference tissue. PROCEDURES Ten healthy volunteers (8 M/2F; age 27.6 ± 10.0 years) underwent a 90-min dynamic [11C]UCB-J positron emission tomography (PET) scan with full arterial blood sampling and metabolite analysis before and after administration of a novel chemical entity with high affinity for presynaptic synaptic vesicle glycoprotein 2A (SV2A). A simplified reference tissue model (SRTM2), multilinear reference tissue model (MRTM2), and reference Logan graphical analysis (rLGA) were used to generate binding potential maps using SO as reference tissue (BPSO). Shorter dynamic acquisitions down to 50 min were also considered. In addition, standard uptake value ratios (SUVR) relative to SO were evaluated for three post-injection intervals (SUVRSO,40-70min, SUVRSO,50-80min, and SUVRSO,60-90min respectively). Regional parametric BPSO + 1 and SUVRSO were compared with regional distribution volume ratios of a 1-tissue compartment model (1TCM DVRSO) using Spearman correlation and Bland-Altman analysis. RESULTS For all methods, highly significant correlations were found between regional, parametric BPSO + 1 (r = [0.63;0.96]) or SUVRSO (r = [0.90;0.91]) estimates and regional 1TCM DVRSO. For a 90-min dynamic scan, parametric SRTM2 and MRTM2 values presented similar small bias and variability (- 3.0 ± 2.9 % for baseline SRTM2) and outperformed rLGA (- 10.0 ± 5.3 % for baseline rLGA). Reducing the dynamic acquisition to 60 min had limited impact on the bias and variability of parametric SRTM2 BPSO estimates (- 1.0 ± 9.9 % for baseline SRTM2) while a higher variability (- 1.83 ± 10.8 %) for baseline MRTM2 was observed for shorter acquisition times. Both SUVRSO,60-90min and SUVRSO,50-80min showed similar small bias and variability (- 2.8 ± 4.6 % bias for baseline SUVRSO,60-90min). CONCLUSION SRTM2 is the preferred method for a voxelwise analysis of dynamic [11C]UCB-J PET using SO as reference tissue, while reducing the dynamic acquisition to 60 min has limited impact on [11C]UCB-J BPSO parametric maps. For a static PET protocol, both SUVRSO,60-90min and SUVRSO,50-80min images are an excellent proxy for [11C]UCB-J BPSO parametric maps.
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Orad RI, Shiner T. Differentiating dementia with Lewy bodies from Alzheimer's disease and Parkinson's disease dementia: an update on imaging modalities. J Neurol 2021; 269:639-653. [PMID: 33511432 DOI: 10.1007/s00415-021-10402-2] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2020] [Revised: 01/07/2021] [Accepted: 01/08/2021] [Indexed: 12/16/2022]
Abstract
Dementia with Lewy bodies is the second most common cause of neurodegenerative dementia after Alzheimer's disease. Dementia with Lewy bodies can provide a diagnostic challenge due to the frequent overlap of clinical signs with other neurodegenerative conditions, namely Parkinson's disease dementia, and Alzheimer's disease. Part of this clinical overlap is due to the neuropathological overlap. Dementia with Lewy bodies is characterized by the accumulation of aggregated α-synuclein protein in Lewy bodies, similar to Parkinson's disease and Parkinson's disease dementia. However, it is also frequently accompanied by aggregation of amyloid-beta and tau, the pathological hallmarks of Alzheimer's disease. Neuroimaging is central to the diagnostic process. This review is an overview of both established and evolving imaging methods that can improve diagnostic accuracy and improve management of this disorder.
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Affiliation(s)
- Rotem Iris Orad
- Cognitive Neurology Unit, Neurological Institute, Tel Aviv Sourasky Medical Center, 6, Weismann St, Tel Aviv, Israel. .,Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel.
| | - Tamara Shiner
- Cognitive Neurology Unit, Neurological Institute, Tel Aviv Sourasky Medical Center, 6, Weismann St, Tel Aviv, Israel.,Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel.,Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel.,Movement Disorders Unit, Neurological Institute, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel
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Wiels WA, Wittens MMJ, Zeeuws D, Baeken C, Engelborghs S. Neuropsychiatric Symptoms in Mild Cognitive Impairment and Dementia Due to AD: Relation With Disease Stage and Cognitive Deficits. Front Psychiatry 2021; 12:707580. [PMID: 34483998 PMCID: PMC8415837 DOI: 10.3389/fpsyt.2021.707580] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/10/2021] [Accepted: 07/09/2021] [Indexed: 11/13/2022] Open
Abstract
Background: The interaction between neuropsychiatric symptoms, mild cognitive impairment (MCI), and dementia is complex and remains to be elucidated. An additive or multiplicative effect of neuropsychiatric symptoms such as apathy or depression on cognitive decline has been suggested. Unraveling these interactions may allow the development of better prevention and treatment strategies. In the absence of available treatments for neurodegeneration, a timely and adequate identification of neuropsychiatric symptom changes in cognitive decline is highly relevant and can help identify treatment targets. Methods: An existing memory clinic-based research database of 476 individuals with MCI and 978 individuals with dementia due to Alzheimer's disease (AD) was reanalyzed. Neuropsychiatric symptoms were assessed in a prospective fashion using a battery of neuropsychiatric assessment scales: Middelheim Frontality Score, Behavioral Pathology in Alzheimer's Disease Rating Scale (Behave-AD), Cohen-Mansfield Agitation Inventory, Cornell Scale for Depression in Dementia (CSDD), and Geriatric Depression Scale (30 items). We subtyped subjects suffering from dementia as mild, moderate, or severe according to their Mini-Mental State Examination (MMSE) score and compared neuropsychiatric scores across these groups. A group of 126 subjects suffering from AD with a significant cerebrovascular component was examined separately as well. We compared the prevalence, nature, and severity of neuropsychiatric symptoms between subgroups of patients with MCI and dementia due to AD in a cross-sectional analysis. Results: Affective and sleep-related symptoms are common in MCI and remain constant in prevalence and severity across dementia groups. Depressive symptoms as assessed by the CSDD further increase in severe dementia. Most other neuropsychiatric symptoms (such as agitation and activity disturbances) progress in parallel with severity of cognitive decline. There are no significant differences in neuropsychiatric symptoms when comparing "pure" AD to AD with a significant vascular component. Conclusion: Neuropsychiatric symptoms such as frontal lobe symptoms, psychosis, agitation, aggression, and activity disturbances increase as dementia progresses. Affective symptoms such as anxiety and depressive symptoms, however, are more frequent in MCI than mild dementia but otherwise remain stable throughout the cognitive spectrum, except for an increase in CSDD score in severe dementia. There is no difference in neuropsychiatric symptoms when comparing mixed dementia (defined here as AD + significant cerebrovascular disease) to pure AD.
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Affiliation(s)
- Wietse A Wiels
- Department of Neurology, Universitair Ziekenhuis Brussel, Brussels, Belgium.,Center for Neurosciences (C4N), Vrije Universiteit Brussel (VUB), Brussels, Belgium
| | - Mandy M J Wittens
- Center for Neurosciences (C4N), Vrije Universiteit Brussel (VUB), Brussels, Belgium.,Department of Biomedical Sciences, University of Antwerp, Antwerp, Belgium
| | - Dieter Zeeuws
- Center for Neurosciences (C4N), Vrije Universiteit Brussel (VUB), Brussels, Belgium.,Department of Psychiatry, Universitair Ziekenhuis Brussel, Brussels, Belgium
| | - Chris Baeken
- Center for Neurosciences (C4N), Vrije Universiteit Brussel (VUB), Brussels, Belgium.,Department of Psychiatry, Universitair Ziekenhuis Brussel, Brussels, Belgium.,Ghent Experimental Psychiatry (GHEP) Lab, Department of Psychiatry and Medical Psychology, Ghent University Hospital, Ghent University, Ghent, Belgium.,Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, Netherlands
| | - Sebastiaan Engelborghs
- Center for Neurosciences (C4N), Vrije Universiteit Brussel (VUB), Brussels, Belgium.,Department of Biomedical Sciences, University of Antwerp, Antwerp, Belgium
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Anor CJ, Dadar M, Collins DL, Tartaglia MC. The Longitudinal Assessment of Neuropsychiatric Symptoms in Mild Cognitive Impairment and Alzheimer's Disease and Their Association With White Matter Hyperintensities in the National Alzheimer's Coordinating Center's Uniform Data Set. BIOLOGICAL PSYCHIATRY. COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2021; 6:70-78. [PMID: 32389747 PMCID: PMC7529680 DOI: 10.1016/j.bpsc.2020.03.006] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/06/2019] [Revised: 03/16/2020] [Accepted: 03/17/2020] [Indexed: 10/24/2022]
Abstract
BACKGROUND Neuropsychiatric symptoms (NPSs) are common in Alzheimer's disease (AD). NPSs contribute to patients' distress, caregiver burden, and institutionalization. White matter hyperintensities (WMHs) appear on magnetic resonance imaging, usually indicative of cerebrovascular disease. WMHs have been associated with certain NPSs. We aimed to assess the relationship between WMH and NPS severity in mild cognitive impairment (MCI) due to AD (MCI-AD) and in AD and to assess the ability of WMHs to predict NPS progression. Data were obtained from the National Alzheimer's Coordinating Center. METHODS A total of 252 participants (114 with MCI-AD and 138 with AD) were used in this study. Baseline WMHs were quantified using an automated segmentation technique. NPSs were measured using the Neuropsychiatric Inventory. Mixed-effect models and correlations were used to determine the relationship between WMHs and NPSs. RESULTS Longitudinal mixed-effect models revealed a significant relationship between increase in Neuropsychiatric Inventory total scores and baseline WMHs (p = .014). There was a significant relationship between baseline WMHs and an increase in delusions (p = .023), hallucinations (p = .040), agitation (p = .093), depression (p = .017), and irritability (p = .002). Correlation plot analysis showed that baseline whole-brain WMHs predicted change in future Neuropsychiatric Inventory total scores (r = .169, p = .008) and predicted change in future agitation severity scores (r = .165, p = .009). WMHs in the temporal lobes (r = .169, p = .008) and frontal lobes (r = .153, p = .016) contributed most to this change. CONCLUSIONS Depression, irritability, and agitation are common NPSs and very distressful to patients and caregivers. Our findings of increased NPS severity over time in MCI-AD and AD with increased WMHs have important implications for treatment, arguing for aggressive treatment of vascular risk factors in patients with MCI-AD or AD.
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Affiliation(s)
- Cassandra J Anor
- University Health Network Memory Clinic, Department of Neurology, Toronto, Ontario, Canada; Tanz Centre for Research in Neurodegenerative Diseases, University of Toronto, Toronto, Ontario, Canada
| | - Mahsa Dadar
- McConnell Brain Imaging Center, Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada
| | - D Louis Collins
- McConnell Brain Imaging Center, Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada
| | - M Carmela Tartaglia
- University Health Network Memory Clinic, Department of Neurology, Toronto, Ontario, Canada; Tanz Centre for Research in Neurodegenerative Diseases, University of Toronto, Toronto, Ontario, Canada.
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Bogolepova A, Vasenina E, Gomzyakova N, Gusev E, Dudchenko N, Emelin A, Zalutskaya N, Isaev R, Kotovskaya Y, Levin O, Litvinenko I, Lobzin V, Martynov M, Mkhitaryan E, Nikolay G, Palchikova E, Tkacheva O, Cherdak M, Chimagomedova A, Yakhno N. Clinical Guidelines for Cognitive Disorders in Elderly and Older Patients. Zh Nevrol Psikhiatr Im S S Korsakova 2021. [DOI: 10.17116/jnevro20211211036] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
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Kapadia A, Dmytriw AA. Venous dysfunction plays a critical role in "normal" white matter disease of aging. Med Hypotheses 2020; 146:110457. [PMID: 33406471 DOI: 10.1016/j.mehy.2020.110457] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2020] [Revised: 12/08/2020] [Accepted: 12/09/2020] [Indexed: 01/18/2023]
Abstract
A ubiquitous finding on MRI in older individuals, age-related cerebral white matter hyperintensities (WMHs) are associated with cognitive decline, dementia, disability, and death. Currently, these findings are thought to represent small infarcts secondary to lipohyalinotic arteriosclerosis. Commonly though, the anatomic distribution of WMHs is often non-arterial, and parallel the deep venous system. Furthermore, there is discrepant evidence for the role of conventional vascular risk factors such as hypertension, carotid atherosclerosis and diabetes for the development and progression of these. Interventions targeting conventional vascular risk factors lack consistency in preventing the progression of WMHs. There is evidence for age-related hemodynamic cervical venous dysfunction resulting in reduced internal jugular vein venous compliance, venous dilatation, and venous reflux. Similarly, venous collagenosis increases with age. Increased blood-brain barrier (BBB) permeability is also noted with aging. Both hemodynamic venous dysfunction, venous sclerosis, and increased BBB permeability are associated with WMHs. We propose that age-related WMHs are a sequalae of venous dysfunction. Venous dysfunction results initially in increased transmission of venous pressures to the brain. Subsequent BBB disruption leads to increased permeability with progression to end-stage findings of age-related WMHs.
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Affiliation(s)
- Anish Kapadia
- Department of Medical Imaging, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, ON, Canada.
| | - Adam A Dmytriw
- Department of Medical Imaging, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, ON, Canada.
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Tuan TA, Pham TB, Kim JY, Tavares JMRS. Alzheimer's diagnosis using deep learning in segmenting and classifying 3D brain MR images. Int J Neurosci 2020; 132:689-698. [PMID: 33045895 DOI: 10.1080/00207454.2020.1835900] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
Abstract
BACKGROUND AND OBJECTIVES Dementia is one of the brain diseases with serious symptoms such as memory loss, and thinking problems. According to the World Alzheimer Report 2016, in the world, there are 47 million people having dementia and it can be 131 million by 2050. There is no standard method to diagnose dementia, and consequently unable to access the treatment effectively. Hence, the computational diagnosis of the disease from brain Magnetic Resonance Image (MRI) scans plays an important role in supporting the early diagnosis. Alzheimer's Disease (AD), a common type of Dementia, includes problems related to disorientation, mood swings, not managing self-care, and behavioral issues. In this article, we present a new computational method to diagnosis Alzheimer's disease from 3D brain MR images. METHODS An efficient approach to diagnosis Alzheimer's disease from brain MRI scans is proposed comprising two phases: I) segmentation and II) classification, both based on deep learning. After the brain tissues are segmented by a model that combines Gaussian Mixture Model (GMM) and Convolutional Neural Network (CNN), a new model combining Extreme Gradient Boosting (XGBoost) and Support Vector Machine (SVM) is used to classify Alzheimer's disease based on the segmented tissues. RESULTS We present two evaluations for segmentation and classification. For comparison, the new method was evaluated using the AD-86 and AD-126 datasets leading to Dice 0.96 for segmentation in both datasets and accuracies 0.88, and 0.80 for classification, respectively. CONCLUSION Deep learning gives prominent results for segmentation and feature extraction in medical image processing. The combination of XGboost and SVM improves the results obtained.
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Affiliation(s)
- Tran Anh Tuan
- Faculty of Mathematics and Computer Science, University of Science, Vietnam National University, Ho Chi Minh City, Vietnam
| | - The Bao Pham
- Department of Computer Science, Sai Gon University, Ho Chi Minh City, Vietnam
| | - Jin Young Kim
- Department of Electronic and Computer Engineering, Chonnam National University, Gwangju, South Korea
| | - João Manuel R S Tavares
- Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial, Departamento de Engenharia Mecânica, Faculdade de Engenharia, Universidade do Porto, Porto, Portugal
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Mito R, Dhollander T, Xia Y, Raffelt D, Salvado O, Churilov L, Rowe CC, Brodtmann A, Villemagne VL, Connelly A. In vivo microstructural heterogeneity of white matter lesions in healthy elderly and Alzheimer's disease participants using tissue compositional analysis of diffusion MRI data. Neuroimage Clin 2020; 28:102479. [PMID: 33395971 PMCID: PMC7652769 DOI: 10.1016/j.nicl.2020.102479] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2020] [Revised: 09/25/2020] [Accepted: 10/19/2020] [Indexed: 12/13/2022]
Abstract
White matter hyperintensities (WMH) are regions of high signal intensity typically identified on fluid attenuated inversion recovery (FLAIR). Although commonly observed in elderly individuals, they are more prevalent in Alzheimer's disease (AD) patients. Given that WMH appear relatively homogeneous on FLAIR, they are commonly partitioned into location- or distance-based classes when investigating their relevance to disease. Since pathology indicates that such lesions are often heterogeneous, probing their microstructure in vivo may provide greater insight than relying on such arbitrary classification schemes. In this study, we investigated WMH in vivo using an advanced diffusion MRI method known as single-shell 3-tissue constrained spherical deconvolution (SS3T-CSD), which models white matter microstructure while accounting for grey matter and CSF compartments. Diffusion MRI data and FLAIR images were obtained from AD (n = 48) and healthy elderly control (n = 94) subjects. WMH were automatically segmented, and classified: (1) as either periventricular or deep; or (2) into three distance-based contours from the ventricles. The 3-tissue profile of WMH enabled their characterisation in terms of white matter-, grey matter-, and fluid-like characteristics of the diffusion signal. Our SS3T-CSD findings revealed substantial heterogeneity in the 3-tissue profile of WMH, both within lesions and across the various classes. Moreover, this heterogeneity information indicated that the use of different commonly used WMH classification schemes can result in different disease-based conclusions. We conclude that future studies of WMH in AD would benefit from inclusion of microstructural information when characterising lesions, which we demonstrate can be performed in vivo using SS3T-CSD.
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Affiliation(s)
- Remika Mito
- Florey Institute of Neuroscience and Mental Health, Melbourne, Victoria, Australia; Florey Department of Neuroscience and Mental Health, University of Melbourne, Melbourne, Victoria, Australia.
| | - Thijs Dhollander
- Florey Institute of Neuroscience and Mental Health, Melbourne, Victoria, Australia; Florey Department of Neuroscience and Mental Health, University of Melbourne, Melbourne, Victoria, Australia; Developmental Imaging, Murdoch Children's Research Institute, Melbourne, Victoria, Australia
| | - Ying Xia
- CSIRO, Health & Biosecurity, The Australian eHealth Research Centre, Brisbane, Queensland, Australia
| | - David Raffelt
- Florey Institute of Neuroscience and Mental Health, Melbourne, Victoria, Australia
| | - Olivier Salvado
- CSIRO, Health & Biosecurity, The Australian eHealth Research Centre, Brisbane, Queensland, Australia; CSIRO Data61, Sydney, New South Wales, Australia
| | - Leonid Churilov
- Florey Institute of Neuroscience and Mental Health, Melbourne, Victoria, Australia; Department of Medicine, Austin Health, University of Melbourne, Victoria, Australia
| | - Christopher C Rowe
- Florey Institute of Neuroscience and Mental Health, Melbourne, Victoria, Australia; Department of Medicine, Austin Health, University of Melbourne, Victoria, Australia; Department of Molecular Imaging & Therapy, Centre for PET, Austin Health, Heidelberg, Victoria, Australia
| | - Amy Brodtmann
- Florey Institute of Neuroscience and Mental Health, Melbourne, Victoria, Australia; Florey Department of Neuroscience and Mental Health, University of Melbourne, Melbourne, Victoria, Australia; Eastern Clinical Research Unit, Monash University, Box Hill Hospital, Melbourne, Victoria, Australia
| | - Victor L Villemagne
- Florey Institute of Neuroscience and Mental Health, Melbourne, Victoria, Australia; Department of Medicine, Austin Health, University of Melbourne, Victoria, Australia; Department of Molecular Imaging & Therapy, Centre for PET, Austin Health, Heidelberg, Victoria, Australia
| | - Alan Connelly
- Florey Institute of Neuroscience and Mental Health, Melbourne, Victoria, Australia; Florey Department of Neuroscience and Mental Health, University of Melbourne, Melbourne, Victoria, Australia
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Gao Y, Sengupta A, Li M, Zu Z, Rogers BP, Anderson AW, Ding Z, Gore JC. Functional connectivity of white matter as a biomarker of cognitive decline in Alzheimer's disease. PLoS One 2020; 15:e0240513. [PMID: 33064765 PMCID: PMC7567362 DOI: 10.1371/journal.pone.0240513] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2019] [Accepted: 09/29/2020] [Indexed: 01/26/2023] Open
Abstract
OBJECTIVE In vivo functional changes in white matter during the progression of Alzheimer's disease (AD) have not been previously reported. Our objectives are to measure changes in white matter functional connectivity (FC) in an elderly population undergoing cognitive decline as AD develops, to establish their relationship to neuropsychological scores of cognitive abilities, and to assess the performance in prediction of AD using white matter FC measures as features. METHODS Analyses were conducted using resting state functional MRI and neuropsychological data from 383 ADNI participants, including 136 cognitive normal (CN) controls, 46 with significant memory concern, 83 with early mild cognitive impairment (MCI), 37 with MCI, 46 with late MCI, and 35 with AD dementia. FC metrics between segregated white matter tracts and discrete gray matter volumes or between white matter tracts were quantitatively analyzed and characterized, along with their relationships to 6 cognitive measures. Finally, supervised machine learning was implemented on white matter FCs to classify the participants and performance of the classification was evaluated. RESULTS Significant decreases in FC measures were found in white matter with prominent, specific, regional deficits appearing in late MCI and AD dementia patients from CN. These changes significantly correlated with neuropsychological measurements of impairments in cognition and memory. The sensitivity and specificity of distinguishing AD dementia and CN using white matter FCs were 0.83 and 0.81 respectively. CONCLUSIONS AND RELEVANCE The white matter FC decreased in late MCI and AD dementia patients compared to CN participants, and this decrease was correlated with cognitive measures. White matter FC is valuable in the prediction of AD. All these findings suggest that white matter FC may be a promising avenue for understanding functional impairments in white matter tracts during AD progression.
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Affiliation(s)
- Yurui Gao
- Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America
- Department of Biomedical Engineering, Vanderbilt University, Nashville, Tennessee, United States of America
| | - Anirban Sengupta
- Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America
- Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America
| | - Muwei Li
- Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America
- Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America
| | - Zhongliang Zu
- Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America
- Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America
| | - Baxter P. Rogers
- Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America
- Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America
| | - Adam W. Anderson
- Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America
- Department of Biomedical Engineering, Vanderbilt University, Nashville, Tennessee, United States of America
- Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America
| | - Zhaohua Ding
- Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America
- Department of Biomedical Engineering, Vanderbilt University, Nashville, Tennessee, United States of America
- Department of Electrical Engineering and Computer Science, Vanderbilt University, Nashville, Tennessee, United States of America
| | - John C. Gore
- Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America
- Department of Biomedical Engineering, Vanderbilt University, Nashville, Tennessee, United States of America
- Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America
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Yang T, Zhang F. Targeting Transcription Factor Nrf2 (Nuclear Factor Erythroid 2-Related Factor 2) for the Intervention of Vascular Cognitive Impairment and Dementia. Arterioscler Thromb Vasc Biol 2020; 41:97-116. [PMID: 33054394 DOI: 10.1161/atvbaha.120.314804] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
Vascular cognitive impairment and dementia (VCID) is an age-related, mild to severe mental disability due to a broad panel of cerebrovascular disorders. Its pathobiology involves neurovascular dysfunction, blood-brain barrier disruption, white matter damage, microRNAs, oxidative stress, neuroinflammation, and gut microbiota alterations, etc. Nrf2 (Nuclear factor erythroid 2-related factor 2) is the master regulator of redox status and controls the transcription of a panel of antioxidative and anti-inflammatory genes. By interacting with NF-κB (nuclear factor-κB), Nrf2 also fine-tunes the cellular oxidative and inflammatory balance. Aging is associated with Nrf2 dysfunction, and increasing evidence has proved the role of Nrf2 in mitigating the VCID process. Based on VCID pathobiologies and Nrf2 studies from VCID and other brain diseases, we point out several hypothetical Nrf2 targets for VCID management, including restoration of endothelial function and neurovascular coupling, preservation of blood-brain barrier integrity, reduction of amyloidopathy, promoting white matter integrity, and mitigating oxidative stress and neuroinflammation. Collectively, the Nrf2 pathway could be a promising direction for future VCID research. Targeting Nrf2 would shed light on VCID managing strategies.
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Affiliation(s)
- Tuo Yang
- Department of Neurology, Pittsburgh Institute of Brain Disorders and Recovery, University of Pittsburgh, PA
| | - Feng Zhang
- Department of Neurology, Pittsburgh Institute of Brain Disorders and Recovery, University of Pittsburgh, PA
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Donaghy PC, Firbank M, Petrides G, Lloyd J, Barnett N, Olsen K, Thomas AJ, O'Brien JT. Diffusion imaging in dementia with Lewy bodies: Associations with amyloid burden, atrophy, vascular factors and clinical features. Parkinsonism Relat Disord 2020; 78:109-115. [PMID: 32814228 DOI: 10.1016/j.parkreldis.2020.07.025] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/13/2020] [Revised: 07/03/2020] [Accepted: 07/25/2020] [Indexed: 01/08/2023]
Abstract
INTRODUCTION White matter disruption in dementia has been linked to a variety of factors including vascular disease and cortical pathology. We aimed to examine the relationship between white matter changes on diffusion tensor imaging (DTI) in DLB and factors including vascular disease, structural atrophy and amyloid burden. METHODS Participants with DLB (n = 29), Alzheimer's disease (AD, n = 17) and healthy controls (n = 20) had clinical and neuropsychological assessments followed by structural and diffusion tensor 3T MRI and 18F-Florbetapir PET-CT imaging. Voxelwise statistical analysis of white matter fractional anisotropy (FA) and mean diffusivity (MD) was carried out using Tract-Based Spatial Statistics with family-wise error correction (p < 0.05). RESULTS DLB and AD groups demonstrated widespread increased MD and decreased FA when compared with controls. There were no differences between the DLB and AD groups. In DLB, increased MD and decreased FA correlated with decreased grey matter and hippocampal volumes as well as vascular disease. There was no correlation with cortical florbetapir SUVR. The relationship between DTI changes and grey matter/hippocampal volumes remained after including Cumulative Illness Rating Scale-Geriatric vascular score as a covariate. CONCLUSIONS Widespread disruption of white matter tracts is present in DLB and is associated with vascular disease, reduced hippocampal volume and reduced grey matter volume, but not with cortical amyloid deposition. The mechanism behind the correlation observed between hippocampal volume and white matter tract disruption should be investigated in future cohorts using tau imaging, as hippocampal atrophy has been shown to correlate with tau deposition in DLB.
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Affiliation(s)
- Paul C Donaghy
- Translational and Clinical Research Institute, Newcastle University, UK.
| | - Michael Firbank
- Translational and Clinical Research Institute, Newcastle University, UK
| | - George Petrides
- Nuclear Medicine Department, Newcastle upon Tyne Hospitals NHS Foundation Trust, UK
| | - Jim Lloyd
- Nuclear Medicine Department, Newcastle upon Tyne Hospitals NHS Foundation Trust, UK
| | - Nicola Barnett
- Translational and Clinical Research Institute, Newcastle University, UK
| | - Kirsty Olsen
- Translational and Clinical Research Institute, Newcastle University, UK
| | - Alan J Thomas
- Translational and Clinical Research Institute, Newcastle University, UK
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Manniche C, Hejl AM, Hasselbalch SG, Simonsen AH. Cerebrospinal Fluid Biomarkers in Idiopathic Normal Pressure Hydrocephalus versus Alzheimer's Disease and Subcortical Ischemic Vascular Disease: A Systematic Review. J Alzheimers Dis 2020; 68:267-279. [PMID: 30741681 DOI: 10.3233/jad-180816] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
BACKGROUND The diagnostic workup of idiopathic normal pressure hydrocephalus (iNPH) can be challenging due to an overlap in symptoms and neuroimaging features with other disorders. Despite a growing interest, a cerebrospinal fluid (CSF) biomarker profile in iNPH has not yet been identified. OBJECTIVE To determine the CSF biomarkers with the greatest evidence for differentiating iNPH from the most common differential diagnoses, Alzheimer's disease (AD) and subcortical ischemic vascular disease (SIVD). METHODS A systematic literature search was conducted in PubMed to identify relevant articles up to July 2018 using the following MESH-terms: "Cerebrospinal fluid", "diagnos*", "hydrocephalus, normal pressure". Relevant data were extracted to assess the risk of bias in the included studies. RESULTS Twenty-five studies including 664 patients with iNPH, 502 with AD, 57 with SIVD, 81 with other disorders, and 338 healthy controls (HC) were included. They investigated the diagnostic value of 92 CSF biomarkers. Most evidence existed for amyloid-β 42 (Aβ42), phosphorylated tau (p-tau), and total tau (t-tau) in iNPH versus AD and HC: Aβ42 did not differ between iNPH and AD, but was lower than in HC subjects. T-tau and p-tau were lower in iNPH versus AD on a level comparable to HC subjects. There was moderate or limited evidence for 62 and 88 biomarkers, respectively. Several plausible biases characterize the literature including small sample sizes and inconsistent diagnostic criteria. CONCLUSION T-tau and p-tau may differentiate iNPH from AD and Aβ42 from HC. A combination of these biomarkers may improve the diagnostic accuracy in iNPH.
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Affiliation(s)
- Christina Manniche
- Department of Neurology, Danish Dementia Research Centre, Rigshospitalet, University of Copenhagen, Copenhagen OE, Denmark
| | - Anne-Mette Hejl
- Department of Neurology, Bispebjerg Hospital, Copenhagen NV, Denmark
| | - Steen Gregers Hasselbalch
- Department of Neurology, Danish Dementia Research Centre, Rigshospitalet, University of Copenhagen, Copenhagen OE, Denmark
| | - Anja Hviid Simonsen
- Department of Neurology, Danish Dementia Research Centre, Rigshospitalet, University of Copenhagen, Copenhagen OE, Denmark
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Ferrer I, Andrés-Benito P. White matter alterations in Alzheimer's disease without concomitant pathologies. Neuropathol Appl Neurobiol 2020; 46:654-672. [PMID: 32255227 PMCID: PMC7754505 DOI: 10.1111/nan.12618] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2019] [Accepted: 03/23/2020] [Indexed: 12/14/2022]
Abstract
Aims Most individuals with AD neuropathological changes have co‐morbidities which have an impact on the integrity of the WM. This study analyses oligodendrocyte and myelin markers in the frontal WM in a series of AD cases without clinical or pathological co‐morbidities. Methods From a consecutive autopsy series, 206 cases had neuropathological changes of AD; among them, only 33 were AD without co‐morbidities. WM alterations were first evaluated in coronal sections of the frontal lobe in every case. Then, RT‐qPCR and immunohistochemistry were carried out in the frontal WM of AD cases without co‐morbidities to analyse the expression of selected oligodendrocyte and myelin markers. Results WM demyelination was more marked in AD with co‐morbidities when compared with AD cases without co‐morbidities. Regarding the later, mRNA expression levels of MBP, PLP1, CNP, MAG, MAL, MOG and MOBP were preserved at stages I–II/0–A when compared with middle‐aged (MA) individuals, but significantly decreased at stages III–IV/0–C. This was accompanied by reduced expression of NG2 and PDGFRA mRNA, reduced numbers of NG2‐, Olig2‐ and HDAC2‐immunoreactive cells and reduced glucose transporter immunoreactivity. Partial recovery of some of these markers occurred at stages V–VI/B–C. Conclusions The present observations demonstrate that co‐morbidities have an impact on WM integrity in the elderly and in AD, and that early alterations in oligodendrocytes and transcription of genes linked to myelin proteins in WM occur in AD cases without co‐morbidities. These are followed by partial recovery attempts at advanced stages. These observations suggest that oligodendrocytopathy is part of AD.
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Affiliation(s)
- I Ferrer
- Department of Pathology and Experimental Therapeutics, University of Barcelona, Barcelona, Spain.,Bellvitge University Hospital, Barcelona, Spain.,Ministry of Economy and Competitiveness, CIBERNED (Network Centre of Biomedical Research of Neurodegenerative Diseases), Institute of Health Carlos III, Barcelona, Spain.,Institute of Neurosciences, University of Barcelona, Barcelona, Spain.,Bellvitge Biomedical Research Institute (IDIBELL), Barcelona, Spain
| | - P Andrés-Benito
- Department of Pathology and Experimental Therapeutics, University of Barcelona, Barcelona, Spain.,Ministry of Economy and Competitiveness, CIBERNED (Network Centre of Biomedical Research of Neurodegenerative Diseases), Institute of Health Carlos III, Barcelona, Spain.,Bellvitge Biomedical Research Institute (IDIBELL), Barcelona, Spain
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40
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Seiler N, Nguyen T, Yung A, O'Donoghue B. Terminology and assessment tools of psychosis: A systematic narrative review. Psychiatry Clin Neurosci 2020; 74:226-246. [PMID: 31846133 DOI: 10.1111/pcn.12966] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/20/2019] [Accepted: 12/05/2019] [Indexed: 12/20/2022]
Abstract
AIM Phenomena within the psychosis continuum that varies in frequency/duration/intensity have been increasingly identified. Different terms describe these phenomena, however there is no standardization within the terminology. This review evaluated the definitions and assessment tools of seven terms - (i) 'psychotic experiences'; (ii) 'psychotic-like experiences'; (iii) 'psychotic-like symptoms'; (iv) 'attenuated psychotic symptoms'; (v) 'prodromal psychotic symptoms'; (vi) 'psychotic symptomatology'; and (vii) 'psychotic symptoms'. METHODS EMBASE, MEDLINE, and CINAHL were searched during February-March 2019. Inclusion criteria included 1989-2019, full text, human, and English. Papers with no explicit definition or assessment tool, duplicates, conference abstracts, systematic reviews, meta-analyses, or no access were excluded. RESULTS A total of 2238 papers were identified and of these, 627 were included. Definitions and assessment tools varied, but some trends were found. Psychotic experiences and psychotic-like experiences were transient and mild, found in the general population and those at-risk. Psychotic-like symptoms were subthreshold and among at-risk populations and non-psychotic mental disorders. Attenuated psychotic symptoms were subthreshold but associated with distress, risk, and help-seeking. Prodromal psychotic symptoms referred to the prodrome of psychotic disorders. Psychotic symptomatology included delusions and hallucinations within psychotic disorders. Psychotic symptoms was the broadest term, encompassing a range of populations but most commonly involving hallucinations, delusions, thought disorder, and disorganization. DISCUSSION A model for conceptualizing the required terms is proposed and future directions needed to advance this field of research are discussed.
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Affiliation(s)
- Natalie Seiler
- Orygen, the National Centre of Excellence in Youth Mental Health, Parkville, Melbourne, Australia.,Centre for Youth Mental Health, University of Melbourne, Parkville, Melbourne, Australia.,The University of Melbourne, Parkville, Melbourne, Australia.,Orygen Youth Health, Parkville, Melbourne, Australia
| | - Tony Nguyen
- Orygen, the National Centre of Excellence in Youth Mental Health, Parkville, Melbourne, Australia.,Centre for Youth Mental Health, University of Melbourne, Parkville, Melbourne, Australia.,The University of Melbourne, Parkville, Melbourne, Australia.,Orygen Youth Health, Parkville, Melbourne, Australia
| | - Alison Yung
- Orygen, the National Centre of Excellence in Youth Mental Health, Parkville, Melbourne, Australia.,Centre for Youth Mental Health, University of Melbourne, Parkville, Melbourne, Australia.,Orygen Youth Health, Parkville, Melbourne, Australia
| | - Brian O'Donoghue
- Orygen, the National Centre of Excellence in Youth Mental Health, Parkville, Melbourne, Australia.,Centre for Youth Mental Health, University of Melbourne, Parkville, Melbourne, Australia.,Orygen Youth Health, Parkville, Melbourne, Australia
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Naing HL, Teo SP. Impact of Hypertension on Cognitive Decline and Dementia. Ann Geriatr Med Res 2020; 24:15-19. [PMID: 32743317 PMCID: PMC7370774 DOI: 10.4235/agmr.19.0048] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2019] [Revised: 01/13/2020] [Accepted: 01/20/2020] [Indexed: 12/02/2022] Open
Abstract
Dementia reduces a person’s ability to perform their activities of daily living and is the leading cause of morbidity worldwide. While most preventive measures are ineffective in reducing dementia risk, active treatment of hypertension in middle-aged and older adults without dementia may reduce the incidence of dementia. Hypertension is associated with vascular dementia but may also affect the manifestations of Alzheimer disease. Observational studies support the association between hypertension and white matter lesions, hippocampal atrophy, and cognitive decline. Both increased and decreased blood pressure were related to the development of white matter lesions. Cohort studies showed that hypertension treatment and treatment duration were associated with lower cognitive decline. This review describes findings from randomized controlled studies on the effects of antihypertensives on cognitive decline. Only the Systolic Hypertension in Europe (Syst-Eur) trial using calcium-channel blockers demonstrated a significant reduction in dementia incidence. Further studies are required to evaluate the long-term benefits of antihypertensive treatment in dementia.
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Affiliation(s)
- Han Lin Naing
- Department of Neurology, Brunei Neuroscience Stroke & Rehabilitation Centre, Jerudong, Brunei Darussalam
| | - Shyh Poh Teo
- Geriatrics and Palliative Unit, Department of Internal Medicine, Raja Isteri Pengiran Anak Saleha (RIPAS) Hospital, Bandar Seri Begawan, Brunei Darussalam
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Neurodegeneration and Neuro-Regeneration-Alzheimer's Disease and Stem Cell Therapy. Int J Mol Sci 2019; 20:ijms20174272. [PMID: 31480448 PMCID: PMC6747457 DOI: 10.3390/ijms20174272] [Citation(s) in RCA: 70] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2019] [Revised: 08/27/2019] [Accepted: 08/28/2019] [Indexed: 12/17/2022] Open
Abstract
Aging causes many changes in the human body, and is a high risk for various diseases. Dementia, a common age-related disease, is a clinical disorder triggered by neurodegeneration. Brain damage caused by neuronal death leads to cognitive decline, memory loss, learning inabilities and mood changes. Numerous disease conditions may cause dementia; however, the most common one is Alzheimer’s disease (AD), a futile and yet untreatable illness. Adult neurogenesis carries the potential of brain self-repair by an endogenous formation of newly-born neurons in the adult brain; however it also declines with age. Strategies to improve the symptoms of aging and age-related diseases have included different means to stimulate neurogenesis, both pharmacologically and naturally. Finally, the regulatory mechanisms of stem cells neurogenesis or a functional integration of newborn neurons have been explored to provide the basis for grafted stem cell therapy. This review aims to provide an overview of AD pathology of different neural and glial cell types and summarizes current strategies of experimental stem cell treatments and their putative future use in clinical settings.
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43
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Binnekade TT, Perez RS, Maier AB, Rhodius-Meester HF, Legdeur N, Trappenburg MC, Rhebergen D, Lobbezoo F, Scherder EJ. White matter hyperintensities are related to pain intensity in an outpatient memory clinic population: preliminary findings. J Pain Res 2019; 12:1621-1629. [PMID: 31190972 PMCID: PMC6535491 DOI: 10.2147/jpr.s158488] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2017] [Accepted: 01/22/2019] [Indexed: 12/14/2022] Open
Abstract
Background: The association between pain and dementia is complicated and may depend on underlying brain pathology. It was hypothesized that both medial temporal atrophy (MTA) and global cortical atrophy (GCA) predicted no/mild pain, while white matter hyperintensities (WMH) predicted moderate/severe pain. Objectives: To study the association between pain intensity and measures of brain pathology, more specifically MTA, GCA, and WMH. Methods: In total, 115 consecutive patients visiting an outpatient memory clinic were included. In total, diagnoses included dementia (N=70), mild cognitive impairment (N=30), and subjective cognitive impairment (N=15). Without administering stimuli, pain intensity was assessed with the Brief Pain Inventory. MTA, GCA, and WMH were measured with a MRI visual rating scale. Logistic regression analyses to examine the relationship between WMH, MTA, GCA, and self-reported pain intensity (no/mild pain versus moderate/severe pain) were adjusted for confounders. Results: Mean age of the patients was 81 years (IQR: 78–85, 53% female). Moderate/severe pain was reported by 23.5% and associated with greater WMH (OR =3.34, 95% CI =1.01–10.97, p=0.047), but not MTA or GCA. Conclusions: In contrast to the present results, earlier studies have reported either a positive or negative relationship between pain and brain volume. It is suggested that the presence of dementia may explain the absence of a relationship between pain and brain volume. WMH is positively related with pain in an older memory outpatient population. Considering the small sample size, our findings should be interpreted with caution. Hence, our conclusions are preliminary findings, warranting future replication.
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Affiliation(s)
- Tarik T Binnekade
- Department of Clinical Neuropsychology, VU University, Amsterdam, The Netherlands
| | - Roberto Sgm Perez
- Department of Anesthesiology, VU University Medical Center, Amsterdam, The Netherlands
| | - Andrea B Maier
- Department of Medicine and Aged Care, Royal Melbourne Hospital, University of Melbourne, Melbourne, VIC, Australia
| | - Hanneke Fm Rhodius-Meester
- Department of Human Movement Sciences, MOVE Research Institute Amsterdam, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Nienke Legdeur
- Department of Neurology, Alzheimer Center, VU University Medical Centre, Amsterdam Neuroscience, Amsterdam, Netherlands
| | - Marijke C Trappenburg
- Department of Internal Medicine, Section of Gerontology and Geriatrics, VU University Medical Center, Amsterdam, The Netherlands.,Department of Internal Medicine, Amstelland Hospital, Amstelveen, The Netherlands
| | - Didi Rhebergen
- Department of Psychiatry, GGZ inGeest, Amsterdam, The Netherlands.,Amsterdam Public Health Research Institute, Amsterdam, The Netherlands.,Department of Mental Health, Amsterdam UMC, Amsterdam, The Netherlands
| | - Frank Lobbezoo
- Department of Orofacial Pain and Dysfunction, Academic Centre for Dentistry Amsterdam (ACTA), University of Amsterdam and Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.,MOVE Research Institute Amsterdam, Amsterdam, The Netherlands
| | - Erik Ja Scherder
- Department of Clinical Neuropsychology, VU University, Amsterdam, The Netherlands
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Esmaeeli S, Murphy K, Swords GM, Ibrahim BA, Brown JW, Llano DA. Visual hallucinations, thalamocortical physiology and Lewy body disease: A review. Neurosci Biobehav Rev 2019; 103:337-351. [PMID: 31195000 DOI: 10.1016/j.neubiorev.2019.06.006] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2018] [Revised: 06/03/2019] [Accepted: 06/08/2019] [Indexed: 12/22/2022]
Abstract
One of the core diagnostic criteria for Dementia with Lewy Bodies (DLB) is the presence of visual hallucinations. The presence of hallucinations, along with fluctuations in the level of arousal and sleep disturbance, point to potential pathological mechanisms at the level of the thalamus. However, the potential role of thalamic dysfunction in DLB, particularly as it relates to the presence of formed visual hallucinations is not known. Here, we review the literature on the pathophysiology of DLB with respect to modern theories of thalamocortical function and attempt to derive an understanding of how such hallucinations arise. Based on the available literature, we propose that combined thalamic-thalamic reticular nucleus and thalamocortical pathology may explain the phenomenology of visual hallucinations in DLB. In particular, diminished α7 cholinergic activity in the thalamic reticular nucleus may critically disinhibit thalamocortical activity. Further, concentrated pathological changes within the posterior regions of the thalamus may explain the predilection for the hallucinations to be visual in nature.
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Affiliation(s)
- Shooka Esmaeeli
- Department of Molecular and Integrative Physiology, University of Illinois at Urbana-Champaign, Urbana, IL, United States
| | - Kathleen Murphy
- Department of Molecular and Integrative Physiology, University of Illinois at Urbana-Champaign, Urbana, IL, United States
| | - Gabriel M Swords
- University of Illinois at Chicago College of Medicine, Chicago, IL, United States
| | - Baher A Ibrahim
- Department of Molecular and Integrative Physiology, University of Illinois at Urbana-Champaign, Urbana, IL, United States; Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, United States
| | - Jeffrey W Brown
- University of Illinois at Chicago College of Medicine, Chicago, IL, United States
| | - Daniel A Llano
- Department of Molecular and Integrative Physiology, University of Illinois at Urbana-Champaign, Urbana, IL, United States; Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, United States; Carle Neuroscience Institute, Urbana, IL, United States.
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Mozumder M, Pozo JM, Coelho S, Costantini M, Simpson J, Highley JR, Ince PG, Frangi AF. Quantitative histomorphometry of capillary microstructure in deep white matter. NEUROIMAGE-CLINICAL 2019; 23:101839. [PMID: 31078937 PMCID: PMC6514265 DOI: 10.1016/j.nicl.2019.101839] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/18/2018] [Revised: 04/04/2019] [Accepted: 04/24/2019] [Indexed: 11/09/2022]
Abstract
White matter lesions represent a major risk factor for dementia in elderly people. Magnetic Resonance Imaging (MRI) studies have demonstrated cerebral blood flow reduction in age-related white matter lesions, indicating that vascular alterations are involved in developing white matter lesions. Hypoperfusion and changes in capillary morphology are generally linked to dementia. However, a quantitative study describing these microvascular alterations in white matter lesions is missing in the literature; most previous microvascular studies being on the cortex. The aim of this work is to identify and quantify capillary microstructural changes involved in the appearance of deep subcortical lesions (DSCL). We characterize the distribution of capillary diameter, thickness, and density in the deep white matter in a population of 75 elderly subjects, stratified into three equal groups according to DSCL: Control (subject without DSCL), Lesion (sample presenting DSCL), and Normal Appearing White Matter (NAWM, the subject presented DSCL but not at the sampled tissue location). Tissue samples were selected from the Cognitive Function and Aging Study (CFAS), a cohort representative of an aging population, from which immunohistochemically-labeled histological images were acquired. To accurately estimate capillary diameters and thicknesses from the 2D histological images, we also introduce a novel semi-automatic method robust to non-perpendicular incidence angle of capillaries into the imaging plane, and to non-circular deformations of capillary cross sections. Subjects with DSCL presented a significant increase in capillary wall thickness, a decrease in the diameter intra-subject variability (but not in the mean), and a decrease in capillary density. No significant difference was observed between controls and NAWM. Both capillary wall thickening and reduction in capillary density contribute to the reduction of cerebral blood flow previously reported for white matter lesions. The obtained distributions provide reliable statistics of capillary microstructure useful to inform the modeling of human cerebral blood flow, for instance to define microcirculation models for their estimation from MRI or to perform realistic cerebral blood flow simulations. Microvascular characteristics from deep white matter are first reported. Elderly populations with various degrees of deep subcortical lesions were analyzed. Novel method allows accurate estimation of microvascular features from histology. Capillary thickening and density reduction associate with subcortical lesions.
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Affiliation(s)
- Meghdoot Mozumder
- Centre for Computational Imaging & Simulation Technologies in Biomedicine (CISTIB), Department of Electronic and Electrical Engineering, The University of Sheffield, Sheffield, UK; Department of Applied Physics, University of Eastern Finland, P.O. Box 1627, 70211 Kuopio, Finland
| | - Jose M Pozo
- Centre for Computational Imaging & Simulation Technologies in Biomedicine (CISTIB), School of Computing and School of Medicine, University of Leeds, UK
| | - Santiago Coelho
- Centre for Computational Imaging & Simulation Technologies in Biomedicine (CISTIB), School of Computing and School of Medicine, University of Leeds, UK
| | - Marina Costantini
- Centre for Computational Imaging & Simulation Technologies in Biomedicine (CISTIB), Department of Electronic and Electrical Engineering, The University of Sheffield, Sheffield, UK
| | - Julie Simpson
- Sheffield Institute for Translational Neuroscience (SITraN), The University of Sheffield, Sheffield, UK
| | - J Robin Highley
- Sheffield Institute for Translational Neuroscience (SITraN), The University of Sheffield, Sheffield, UK
| | - Paul G Ince
- Sheffield Institute for Translational Neuroscience (SITraN), The University of Sheffield, Sheffield, UK
| | - Alejandro F Frangi
- Centre for Computational Imaging & Simulation Technologies in Biomedicine (CISTIB), School of Computing and School of Medicine, University of Leeds, UK; LICAMM Leeds Institute of Cardiac and Metabolic Medicine, School of Medicine, University of Leeds, Leeds, UK.
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46
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ATA KORKMAZ HA. Relationship between the earlobe crease and brain white matter abnormalities in
apparently healthy subjects. Turk J Med Sci 2019; 49:604-609. [PMID: 30889943 PMCID: PMC7018362 DOI: 10.3906/sag-1812-124] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
Abstract
Background/aim In the present study we aimed to investigate whether the earlobe crease (ELC) might provide predictive information about white matter intensities (WMIs) in the brain that reflect brain aging. Materials and methods A total of 350 individuals examined from January 2016 to July 2016 were screened. Patients with known demyelinating white matter disease, neurodegenerative disorders, cerebrovascular event history, or brain tumors were excluded from the study. Finally, 285 cases were included in the study. The four-point cerebral intensity classification system of Fazekas was used in the evaluation of the brain. The ELC was evaluated by inspection. Results A total of 285 patients were enrolled consecutively. The incidence of WMI was significantly higher in patients with ELC than the others. Age (95% CI: 1.105–1.213, P < 0.001) and ELC (95% CI: 0.098–0.783, P = 0.015) were found as an independent determinants of abnormal WMI. ELC predicted abnormal WMIs with 89% specificity and 62% sensitivity. Conclusion The presence of an ELC may provide predictive information in terms of detecting abnormal WMIs with prognostic impact in apparently healthy subjects.
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Affiliation(s)
- Hatice Ayça ATA KORKMAZ
- Department of Radiology, Kanuni Research and Education Hospital, TrabzonTurkey
- * To whom correspondence should be addressed. E-mail:
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Damulina A, Pirpamer L, Seiler S, Benke T, Dal-Bianco P, Ransmayr G, Struhal W, Hofer E, Langkammer C, Duering M, Fazekas F, Schmidt R. White Matter Hyperintensities in Alzheimer’s Disease: A Lesion Probability Mapping Study. J Alzheimers Dis 2019; 68:789-796. [DOI: 10.3233/jad-180982] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Affiliation(s)
- Anna Damulina
- Department of Neurology, Medical University of Graz, Graz, Austria
| | - Lukas Pirpamer
- Department of Neurology, Medical University of Graz, Graz, Austria
| | - Stephan Seiler
- Department of Neurology and Center for Neurosciences, Imaging of Dementia and Aging Laboratory, University of California at Davis, CA, USA
| | - Thomas Benke
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Peter Dal-Bianco
- Department of Neurology, Medical University of Vienna, Vienna, Austria
| | - Gerhard Ransmayr
- Department of Neurology, Kepler University Hospital, Linz, Austria
| | - Walter Struhal
- Department of Neurology, Kepler University Hospital, Linz, Austria
- Department of Neurology, Karl Landsteiner University of Health Sciences, Tulln, Austria
| | - Edith Hofer
- Department of Neurology, Medical University of Graz, Graz, Austria
| | | | - Marco Duering
- Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Munich, Germany
| | - Franz Fazekas
- Department of Neurology, Medical University of Graz, Graz, Austria
| | - Reinhold Schmidt
- Department of Neurology, Medical University of Graz, Graz, Austria
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Wu D, Albert M, Soldan A, Pettigrew C, Oishi K, Tomogane Y, Ye C, Ma T, Miller MI, Mori S. Multi-atlas based detection and localization (MADL) for location-dependent quantification of white matter hyperintensities. NEUROIMAGE-CLINICAL 2019; 22:101772. [PMID: 30927606 PMCID: PMC6444296 DOI: 10.1016/j.nicl.2019.101772] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/18/2018] [Revised: 02/05/2019] [Accepted: 03/10/2019] [Indexed: 02/07/2023]
Abstract
The extent and spatial location of white matter hyperintensities (WMH) on brain MRI may be relevant to the development of cognitive decline in older persons. Here, we introduce a new method, known as the Multi-atlas based Detection and Localization (MADL), to evaluate WMH on fluid-attenuated inversion recovery (FLAIR) data. This method simultaneously parcellates the whole brain into 143 structures and labels hyperintense areas within each WM structure. First, a multi-atlas library was established with FLAIR data of normal elderly brains; and then a multi-atlas fusion algorithm was developed by which voxels with locally abnormal intensities were detected as WMH. At the same time, brain segmentation maps were generated from the multi-atlas fusion process to determine the anatomical location of WMH. Areas identified using the MADL method agreed well with manual delineation, with an interclass correlation of 0.97 and similarity index (SI) between 0.55 and 0.72, depending on the total WMH load. Performance was compared to other state-of-the-art WMH detection methods, such as BIANCA and LST. MADL-based analyses of WMH in an older population revealed a significant association between age and WMH load in deep WM but not subcortical WM. The findings also suggested increased WMH load in selective brain regions in subjects with mild cognitive impairment compared to controls, including the inferior deep WM and occipital subcortical WM. The proposed MADL approach may facilitate location-dependent characterization of WMH in older individuals with memory impairment. We proposed a multi-atlas based method for simultaneous detection and location of WMH on FLAIR images. The method generates whole-brain segmentation for location-dependent WMH analysis. The method showed reasonably high detection accuracy in comparison with other methods. Results revealed a selective association between deep brain WMH and subject age. Results suggested increased WMH in the inferior white matter in MCI patients.
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Affiliation(s)
- Dan Wu
- Key Laboratory for Biomedical Engineering of Ministry of Education, College of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou, China; Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
| | - Marilyn Albert
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Anja Soldan
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Corinne Pettigrew
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Kenichi Oishi
- Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Yusuke Tomogane
- Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Chenfei Ye
- Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Ting Ma
- Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Michael I Miller
- Department of Biomedicine Engineering, Johns Hopkins University, Baltimore, MD, USA; Center of Imaging Science, Johns Hopkins University, Baltimore, MD, USA; Institute for Computational Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - Susumu Mori
- Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA; F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, USA
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49
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D'Onofrio G, Panza F, Sancarlo D, Addante F, Solfrizzi V, Cantarini C, Mangiacotti A, Lauriola M, Cascavilla L, Paris F, Lozupone M, Daniele A, Greco A, Seripa D. Executive Dysfunction Detected with the Frontal Assessment Battery in Alzheimer's Disease Versus Vascular Dementia. J Alzheimers Dis 2019; 62:699-711. [PMID: 29480171 DOI: 10.3233/jad-170365] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Alzheimer's disease (AD) and vascular dementia (VaD) lead to progressive decline in executive function. We estimated the prevalence of executive dysfunction in AD and VaD patients, investigating cognitive, functional, and clinical correlates and also using a multidimensional approach based on a standardized comprehensive geriatric assessment (CGA). We included 215 patients (115 AD patients and 100 VaD patients) consecutively evaluated with a complete cognitive and affective assessment, a CGA, and the Frontal Assessment Battery (FAB) with six subtests investigating conceptualization, mental flexibility, motor programming, sensitivity to interference, inhibitory control, and environmental autonomy. The prevalence of dysexecutive syndrome screened with a FAB score <12 points was high in both AD (97 patients) and VaD (77 patients) (84.3% versus 77.0%, p = 0.171). AD patients were significantly younger, with higher grade of cognitive impairment and less severe comorbidity and polypharmacy than VaD patients. AD patients showed a significantly higher impairment in FAB total score and five FAB subtests (conceptualization, motor programming, sensitivity to interference, inhibitory control, and environmental autonomy) than VaD patients. These findings were largely confirmed in a sub-analysis conducted subdividing the sample in mild and moderate-to-severe demented patients and suggesting that in moderate-to-severe AD there was higher impairment in FAB total score and four FAB subtests (conceptualization, sensitivity to interference, inhibitory control, and environmental autonomy). Executive dysfunction could be greater in AD patients with moderate-to-severe dementia compared to VaD patients, although our groups were also not matched for age, comorbidity or polypharmacy, which could also exert an effect.
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Affiliation(s)
- Grazia D'Onofrio
- Department of Medical Sciences, Geriatric Unit and Laboratory of Gerontology and Geriatrics, IRCCS "Casa Sollievo della Sofferenza", San Giovanni Rotondo, Foggia, Italy
| | - Francesco Panza
- Department of Medical Sciences, Geriatric Unit and Laboratory of Gerontology and Geriatrics, IRCCS "Casa Sollievo della Sofferenza", San Giovanni Rotondo, Foggia, Italy.,Department of Basic Medicine, Neurodegenerative Disease Unit, Neuroscience, and Sense Organs, University of Bari Aldo Moro, Bari, Italy.,Department of Clinical Research in Neurology, University of Bari Aldo Moro, "Pia Fondazione Cardinale G. Panico", Tricase, Lecce, Italy
| | - Daniele Sancarlo
- Department of Medical Sciences, Geriatric Unit and Laboratory of Gerontology and Geriatrics, IRCCS "Casa Sollievo della Sofferenza", San Giovanni Rotondo, Foggia, Italy
| | - Filomena Addante
- Department of Medical Sciences, Geriatric Unit and Laboratory of Gerontology and Geriatrics, IRCCS "Casa Sollievo della Sofferenza", San Giovanni Rotondo, Foggia, Italy
| | - Vincenzo Solfrizzi
- Geriatric Medicine-Memory Unit and Rare Disease Centre, University of Bari 'Aldo Moro', Bari, Italy
| | - Chiara Cantarini
- Department of Medical Sciences, Geriatric Unit and Laboratory of Gerontology and Geriatrics, IRCCS "Casa Sollievo della Sofferenza", San Giovanni Rotondo, Foggia, Italy
| | - Antonio Mangiacotti
- Department of Medical Sciences, Geriatric Unit and Laboratory of Gerontology and Geriatrics, IRCCS "Casa Sollievo della Sofferenza", San Giovanni Rotondo, Foggia, Italy
| | - Michele Lauriola
- Department of Medical Sciences, Geriatric Unit and Laboratory of Gerontology and Geriatrics, IRCCS "Casa Sollievo della Sofferenza", San Giovanni Rotondo, Foggia, Italy
| | - Leandro Cascavilla
- Department of Medical Sciences, Geriatric Unit and Laboratory of Gerontology and Geriatrics, IRCCS "Casa Sollievo della Sofferenza", San Giovanni Rotondo, Foggia, Italy
| | - Francesco Paris
- Department of Medical Sciences, Geriatric Unit and Laboratory of Gerontology and Geriatrics, IRCCS "Casa Sollievo della Sofferenza", San Giovanni Rotondo, Foggia, Italy
| | - Madia Lozupone
- Department of Basic Medicine, Neurodegenerative Disease Unit, Neuroscience, and Sense Organs, University of Bari Aldo Moro, Bari, Italy
| | - Antonio Daniele
- Institute of Neurology, Catholic University of Sacred Heart, Rome, Italy
| | - Antonio Greco
- Department of Medical Sciences, Geriatric Unit and Laboratory of Gerontology and Geriatrics, IRCCS "Casa Sollievo della Sofferenza", San Giovanni Rotondo, Foggia, Italy
| | - Davide Seripa
- Department of Medical Sciences, Geriatric Unit and Laboratory of Gerontology and Geriatrics, IRCCS "Casa Sollievo della Sofferenza", San Giovanni Rotondo, Foggia, Italy
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Grajauskas LA, Siu W, Medvedev G, Guo H, D’Arcy RC, Song X. MRI-based evaluation of structural degeneration in the ageing brain: Pathophysiology and assessment. Ageing Res Rev 2019; 49:67-82. [PMID: 30472216 DOI: 10.1016/j.arr.2018.11.004] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2018] [Revised: 11/08/2018] [Accepted: 11/21/2018] [Indexed: 12/13/2022]
Abstract
Advances in MRI technology have significantly contributed to our ability to understand the process of brain ageing, allowing us to track and assess changes that occur during normal ageing and neurological conditions. This paper focuses on reviewing structural changes of the ageing brain that are commonly seen using MRI, summarizing the pathophysiology, prevalence, and neuroanatomical distribution of changes including atrophy, lacunes, white matter lesions, and dilated perivascular spaces. We also review the clinically accessible methodology for assessing these MRI-based changes, covering visual rating scales, as well computer-aided and fully automated methods. Subsequently, we consider novel assessment methods designed to evaluate changes across the whole brain, and finally discuss new directions in this field of research.
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