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Ye R, Goodheart AE, Locascio JJ, Peterec E, Properzi M, Thibault EG, Chuba E, Johnson KA, Brickhouse MJ, Touroutoglou A, Growdon JH, Dickerson BC, Gomperts SN. Differential Vulnerability of Hippocampal Subfields to Amyloid and Tau Deposition in the Lewy Body Diseases. Neurology 2024; 102:e209460. [PMID: 38815233 PMCID: PMC11244748 DOI: 10.1212/wnl.0000000000209460] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2023] [Accepted: 04/11/2024] [Indexed: 06/01/2024] Open
Abstract
BACKGROUND AND OBJECTIVES Alzheimer disease (AD) copathologies of β-amyloid and tau are common in the Lewy body diseases (LBD), dementia with Lewy bodies (DLB) and Parkinson disease (PD), and target distinct hippocampal subfields compared with Lewy pathology, including subiculum and CA1. We investigated the hypothesis that AD copathologies impact the pattern of hippocampal subregion volume loss and cognitive function in LBD. METHODS This was a cross-sectional and longitudinal, single-center, observational cohort study. Participants underwent neuropsychological testing and 3T-MRI with hippocampal segmentation using FreeSurferV7. PiB-PET and flortaucipir-PET imaging of comorbid β-amyloid (A) and tau (T) were acquired. The association of functional cognition, β-amyloid, and tau loads with hippocampal subregion volume was assessed. The contribution of subregion volumes to the relationship of AD-related deposits on functional cognition was examined with mediation analysis. The effects of AD-related deposits on the rate of subregion atrophy were evaluated with mixed-effects models. RESULTS Of 103 participants (mean age: 70.3 years; 37.3% female), 52 had LBD with impaired cognition (LBD-I), 26 had normal cognition (LBD-N), and 25 were A- healthy controls (HCs). Volumes of hippocampal subregions prone to AD copathologies, including subiculum (F = 6.9, p = 0.002), presubiculum (F = 7.3, p = 0.001), and parasubiculum (F = 5.9, p = 0.004), were reduced in LBD-I compared with LBD-N and HC. Volume was preserved in CA2/3, Lewy pathology susceptible subregions. In LBD-I, reduced CA1, subiculum, and presubiculum volumes were associated with greater functional cognitive impairment (all p < 0.05). Compared with HC, subiculum volume was reduced in A+T+ but not A-T- participants (F = 2.62, p = 0.043). Reduced subiculum volume mediated the effect of amyloid on functional cognition (0.12, 95% CI: 0.005 to 0.26, p = 0.040). In 26 longitudinally-evaluated participants, baseline tau deposition was associated with faster CA1 (p = 0.021) and subiculum (p = 0.002) atrophy. DISCUSSION In LBD, volume loss in hippocampal output subregions-particularly the subiculum-is associated with functional cognition and AD-related deposits. Tau deposition appears to accelerate subiculum and CA1 atrophy, whereas Aβ does not. Subiculum volume may have value as a biomarker of AD copathology-mediated neurodegeneration and disease progression.
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Affiliation(s)
- Rong Ye
- From the Department of Neurology (R.Y., A.E.G., J.J.L., E.P., M.P., E.G.T., E.C., K.A.J., M.J.B., A.T., J.G., B.C.D., S.N.G.), Massachusetts General Hospital, Boston; Mass General Institute of Neurodegenerative Disease (R.Y., A.E.G., E.P., S.N.G.), Charlestown; Lewy Body Dementia Unit (R.Y., A.E.G., E.P., S.N.G.) and Frontotemporal Disorders Unit (M.J.B., A.T., B.C.D.), Massachusetts General Hospital, Boston
| | - Anna E Goodheart
- From the Department of Neurology (R.Y., A.E.G., J.J.L., E.P., M.P., E.G.T., E.C., K.A.J., M.J.B., A.T., J.G., B.C.D., S.N.G.), Massachusetts General Hospital, Boston; Mass General Institute of Neurodegenerative Disease (R.Y., A.E.G., E.P., S.N.G.), Charlestown; Lewy Body Dementia Unit (R.Y., A.E.G., E.P., S.N.G.) and Frontotemporal Disorders Unit (M.J.B., A.T., B.C.D.), Massachusetts General Hospital, Boston
| | - Joseph J Locascio
- From the Department of Neurology (R.Y., A.E.G., J.J.L., E.P., M.P., E.G.T., E.C., K.A.J., M.J.B., A.T., J.G., B.C.D., S.N.G.), Massachusetts General Hospital, Boston; Mass General Institute of Neurodegenerative Disease (R.Y., A.E.G., E.P., S.N.G.), Charlestown; Lewy Body Dementia Unit (R.Y., A.E.G., E.P., S.N.G.) and Frontotemporal Disorders Unit (M.J.B., A.T., B.C.D.), Massachusetts General Hospital, Boston
| | - Erin Peterec
- From the Department of Neurology (R.Y., A.E.G., J.J.L., E.P., M.P., E.G.T., E.C., K.A.J., M.J.B., A.T., J.G., B.C.D., S.N.G.), Massachusetts General Hospital, Boston; Mass General Institute of Neurodegenerative Disease (R.Y., A.E.G., E.P., S.N.G.), Charlestown; Lewy Body Dementia Unit (R.Y., A.E.G., E.P., S.N.G.) and Frontotemporal Disorders Unit (M.J.B., A.T., B.C.D.), Massachusetts General Hospital, Boston
| | - Michael Properzi
- From the Department of Neurology (R.Y., A.E.G., J.J.L., E.P., M.P., E.G.T., E.C., K.A.J., M.J.B., A.T., J.G., B.C.D., S.N.G.), Massachusetts General Hospital, Boston; Mass General Institute of Neurodegenerative Disease (R.Y., A.E.G., E.P., S.N.G.), Charlestown; Lewy Body Dementia Unit (R.Y., A.E.G., E.P., S.N.G.) and Frontotemporal Disorders Unit (M.J.B., A.T., B.C.D.), Massachusetts General Hospital, Boston
| | - Emma G Thibault
- From the Department of Neurology (R.Y., A.E.G., J.J.L., E.P., M.P., E.G.T., E.C., K.A.J., M.J.B., A.T., J.G., B.C.D., S.N.G.), Massachusetts General Hospital, Boston; Mass General Institute of Neurodegenerative Disease (R.Y., A.E.G., E.P., S.N.G.), Charlestown; Lewy Body Dementia Unit (R.Y., A.E.G., E.P., S.N.G.) and Frontotemporal Disorders Unit (M.J.B., A.T., B.C.D.), Massachusetts General Hospital, Boston
| | - Erin Chuba
- From the Department of Neurology (R.Y., A.E.G., J.J.L., E.P., M.P., E.G.T., E.C., K.A.J., M.J.B., A.T., J.G., B.C.D., S.N.G.), Massachusetts General Hospital, Boston; Mass General Institute of Neurodegenerative Disease (R.Y., A.E.G., E.P., S.N.G.), Charlestown; Lewy Body Dementia Unit (R.Y., A.E.G., E.P., S.N.G.) and Frontotemporal Disorders Unit (M.J.B., A.T., B.C.D.), Massachusetts General Hospital, Boston
| | - Keith A Johnson
- From the Department of Neurology (R.Y., A.E.G., J.J.L., E.P., M.P., E.G.T., E.C., K.A.J., M.J.B., A.T., J.G., B.C.D., S.N.G.), Massachusetts General Hospital, Boston; Mass General Institute of Neurodegenerative Disease (R.Y., A.E.G., E.P., S.N.G.), Charlestown; Lewy Body Dementia Unit (R.Y., A.E.G., E.P., S.N.G.) and Frontotemporal Disorders Unit (M.J.B., A.T., B.C.D.), Massachusetts General Hospital, Boston
| | - Michael J Brickhouse
- From the Department of Neurology (R.Y., A.E.G., J.J.L., E.P., M.P., E.G.T., E.C., K.A.J., M.J.B., A.T., J.G., B.C.D., S.N.G.), Massachusetts General Hospital, Boston; Mass General Institute of Neurodegenerative Disease (R.Y., A.E.G., E.P., S.N.G.), Charlestown; Lewy Body Dementia Unit (R.Y., A.E.G., E.P., S.N.G.) and Frontotemporal Disorders Unit (M.J.B., A.T., B.C.D.), Massachusetts General Hospital, Boston
| | - Alexandra Touroutoglou
- From the Department of Neurology (R.Y., A.E.G., J.J.L., E.P., M.P., E.G.T., E.C., K.A.J., M.J.B., A.T., J.G., B.C.D., S.N.G.), Massachusetts General Hospital, Boston; Mass General Institute of Neurodegenerative Disease (R.Y., A.E.G., E.P., S.N.G.), Charlestown; Lewy Body Dementia Unit (R.Y., A.E.G., E.P., S.N.G.) and Frontotemporal Disorders Unit (M.J.B., A.T., B.C.D.), Massachusetts General Hospital, Boston
| | - John H Growdon
- From the Department of Neurology (R.Y., A.E.G., J.J.L., E.P., M.P., E.G.T., E.C., K.A.J., M.J.B., A.T., J.G., B.C.D., S.N.G.), Massachusetts General Hospital, Boston; Mass General Institute of Neurodegenerative Disease (R.Y., A.E.G., E.P., S.N.G.), Charlestown; Lewy Body Dementia Unit (R.Y., A.E.G., E.P., S.N.G.) and Frontotemporal Disorders Unit (M.J.B., A.T., B.C.D.), Massachusetts General Hospital, Boston
| | - Bradford C Dickerson
- From the Department of Neurology (R.Y., A.E.G., J.J.L., E.P., M.P., E.G.T., E.C., K.A.J., M.J.B., A.T., J.G., B.C.D., S.N.G.), Massachusetts General Hospital, Boston; Mass General Institute of Neurodegenerative Disease (R.Y., A.E.G., E.P., S.N.G.), Charlestown; Lewy Body Dementia Unit (R.Y., A.E.G., E.P., S.N.G.) and Frontotemporal Disorders Unit (M.J.B., A.T., B.C.D.), Massachusetts General Hospital, Boston
| | - Stephen N Gomperts
- From the Department of Neurology (R.Y., A.E.G., J.J.L., E.P., M.P., E.G.T., E.C., K.A.J., M.J.B., A.T., J.G., B.C.D., S.N.G.), Massachusetts General Hospital, Boston; Mass General Institute of Neurodegenerative Disease (R.Y., A.E.G., E.P., S.N.G.), Charlestown; Lewy Body Dementia Unit (R.Y., A.E.G., E.P., S.N.G.) and Frontotemporal Disorders Unit (M.J.B., A.T., B.C.D.), Massachusetts General Hospital, Boston
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Zahr NM. Alcohol Use Disorder and Dementia: A Review. Alcohol Res 2024; 44:03. [PMID: 38812709 PMCID: PMC11135165 DOI: 10.35946/arcr.v44.1.03] [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] [Indexed: 05/31/2024] Open
Abstract
PURPOSE By 2040, 21.6% of Americans will be over age 65, and the population of those older than age 85 is estimated to reach 14.4 million. Although not causative, older age is a risk factor for dementia: every 5 years beyond age 65, the risk doubles; approximately one-third of those older than age 85 are diagnosed with dementia. As current alcohol consumption among older adults is significantly higher compared to previous generations, a pressing question is whether drinking alcohol increases the risk for Alzheimer's disease or other forms of dementia. SEARCH METHODS Databases explored included PubMed, Web of Science, and ScienceDirect. To accomplish this narrative review on the effects of alcohol consumption on dementia risk, the literature covered included clinical diagnoses, epidemiology, neuropsychology, postmortem pathology, neuroimaging and other biomarkers, and translational studies. Searches conducted between January 12 and August 1, 2023, included the following terms and combinations: "aging," "alcoholism," "alcohol use disorder (AUD)," "brain," "CNS," "dementia," "Wernicke," "Korsakoff," "Alzheimer," "vascular," "frontotemporal," "Lewy body," "clinical," "diagnosis," "epidemiology," "pathology," "autopsy," "postmortem," "histology," "cognitive," "motor," "neuropsychological," "magnetic resonance," "imaging," "PET," "ligand," "degeneration," "atrophy," "translational," "rodent," "rat," "mouse," "model," "amyloid," "neurofibrillary tangles," "α-synuclein," or "presenilin." When relevant, "species" (i.e., "humans" or "other animals") was selected as an additional filter. Review articles were avoided when possible. SEARCH RESULTS The two terms "alcoholism" and "aging" retrieved about 1,350 papers; adding phrases-for example, "postmortem" or "magnetic resonance"-limited the number to fewer than 100 papers. Using the traditional term, "alcoholism" with "dementia" resulted in 876 citations, but using the currently accepted term "alcohol use disorder (AUD)" with "dementia" produced only 87 papers. Similarly, whereas the terms "Alzheimer's" and "alcoholism" yielded 318 results, "Alzheimer's" and "alcohol use disorder (AUD)" returned only 40 citations. As pertinent postmortem pathology papers were published in the 1950s and recent animal models of Alzheimer's disease were created in the early 2000s, articles referenced span the years 1957 to 2024. In total, more than 5,000 articles were considered; about 400 are herein referenced. DISCUSSION AND CONCLUSIONS Chronic alcohol misuse accelerates brain aging and contributes to cognitive impairments, including those in the mnemonic domain. The consensus among studies from multiple disciplines, however, is that alcohol misuse can increase the risk for dementia, but not necessarily Alzheimer's disease. Key issues to consider include the reversibility of brain damage following abstinence from chronic alcohol misuse compared to the degenerative and progressive course of Alzheimer's disease, and the characteristic presence of protein inclusions in the brains of people with Alzheimer's disease, which are absent in the brains of those with AUD.
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Affiliation(s)
- Natalie M Zahr
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, California. Center for Health Sciences, SRI International, Menlo Park, California
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Chouliaras L, O'Brien JT. The use of neuroimaging techniques in the early and differential diagnosis of dementia. Mol Psychiatry 2023; 28:4084-4097. [PMID: 37608222 PMCID: PMC10827668 DOI: 10.1038/s41380-023-02215-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/15/2023] [Revised: 07/27/2023] [Accepted: 08/03/2023] [Indexed: 08/24/2023]
Abstract
Dementia is a leading cause of disability and death worldwide. At present there is no disease modifying treatment for any of the most common types of dementia such as Alzheimer's disease (AD), Vascular dementia, Lewy Body Dementia (LBD) and Frontotemporal dementia (FTD). Early and accurate diagnosis of dementia subtype is critical to improving clinical care and developing better treatments. Structural and molecular imaging has contributed to a better understanding of the pathophysiology of neurodegenerative dementias and is increasingly being adopted into clinical practice for early and accurate diagnosis. In this review we summarise the contribution imaging has made with particular focus on multimodal magnetic resonance imaging (MRI) and positron emission tomography imaging (PET). Structural MRI is widely used in clinical practice and can help exclude reversible causes of memory problems but has relatively low sensitivity for the early and differential diagnosis of dementia subtypes. 18F-fluorodeoxyglucose PET has high sensitivity and specificity for AD and FTD, while PET with ligands for amyloid and tau can improve the differential diagnosis of AD and non-AD dementias, including recognition at prodromal stages. Dopaminergic imaging can assist with the diagnosis of LBD. The lack of a validated tracer for α-synuclein or TAR DNA-binding protein 43 (TDP-43) imaging remain notable gaps, though work is ongoing. Emerging PET tracers such as 11C-UCB-J for synaptic imaging may be sensitive early markers but overall larger longitudinal multi-centre cross diagnostic imaging studies are needed.
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Affiliation(s)
- Leonidas Chouliaras
- Department of Psychiatry, University of Cambridge School of Clinical Medicine, Cambridge, UK
- Specialist Dementia and Frailty Service, Essex Partnership University NHS Foundation Trust, St Margaret's Hospital, Epping, UK
| | - John T O'Brien
- Department of Psychiatry, University of Cambridge School of Clinical Medicine, Cambridge, UK.
- Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK.
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Haller S, Jäger HR, Vernooij MW, Barkhof F. Neuroimaging in Dementia: More than Typical Alzheimer Disease. Radiology 2023; 308:e230173. [PMID: 37724973 DOI: 10.1148/radiol.230173] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/21/2023]
Abstract
Alzheimer disease (AD) is the most common cause of dementia. The prevailing theory of the underlying pathology assumes amyloid accumulation followed by tau protein aggregation and neurodegeneration. However, the current antiamyloid and antitau treatments show only variable clinical efficacy. Three relevant points are important for the radiologic assessment of dementia. First, besides various dementing disorders (including AD, frontotemporal dementia, and dementia with Lewy bodies), clinical variants and imaging subtypes of AD include both typical and atypical AD. Second, atypical AD has overlapping radiologic and clinical findings with other disorders. Third, the diagnostic process should consider mixed pathologies in neurodegeneration, especially concurrent cerebrovascular disease, which is frequent in older age. Neuronal loss is often present at, or even before, the onset of cognitive decline. Thus, for effective emerging treatments, early diagnosis before the onset of clinical symptoms is essential to slow down or stop subsequent neuronal loss, requiring molecular imaging or plasma biomarkers. Neuroimaging, particularly MRI, provides multiple imaging parameters for neurodegenerative and cerebrovascular disease. With emerging treatments for AD, it is increasingly important to recognize AD variants and other disorders that mimic AD. Describing the individual composition of neurodegenerative and cerebrovascular disease markers while considering overlapping and mixed diseases is necessary to better understand AD and develop efficient individualized therapies.
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Affiliation(s)
- Sven Haller
- From the Centre d'Imagerie Médicale de Cornavin, Place de Cornavin 18, 1201 Geneva, Switzerland (S.H.); Department of Surgical Sciences, Radiology, Uppsala University, Uppsala, Sweden (S.H.); Faculty of Medicine of the University of Geneva, Geneva, Switzerland (S.H.); Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China (S.H.); Tanta University, Faculty of Medicine, Tanta, Egypt (S.H.); Neuroradiological Academic Unit, Department of Brain Repair and Rehabilitation, Queen Square Institute of Neurology (H.R.J., F.B.), and Centre for Medical Image Computing, Institute of Healthcare Engineering (F.B.), University College London, London, England; Lysholm Department of Neuroradiology, The National Hospital for Neurology and Neurosurgery, London, England (H.R.J.); Departments of Epidemiology and Radiology & Nuclear Medicine, Erasmus MC, Rotterdam, the Netherlands (M.W.V.); and Department of Radiology and Nuclear Medicine, Amsterdam University Medical Centre, Amsterdam, the Netherlands (F.B.)
| | - Hans Rolf Jäger
- From the Centre d'Imagerie Médicale de Cornavin, Place de Cornavin 18, 1201 Geneva, Switzerland (S.H.); Department of Surgical Sciences, Radiology, Uppsala University, Uppsala, Sweden (S.H.); Faculty of Medicine of the University of Geneva, Geneva, Switzerland (S.H.); Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China (S.H.); Tanta University, Faculty of Medicine, Tanta, Egypt (S.H.); Neuroradiological Academic Unit, Department of Brain Repair and Rehabilitation, Queen Square Institute of Neurology (H.R.J., F.B.), and Centre for Medical Image Computing, Institute of Healthcare Engineering (F.B.), University College London, London, England; Lysholm Department of Neuroradiology, The National Hospital for Neurology and Neurosurgery, London, England (H.R.J.); Departments of Epidemiology and Radiology & Nuclear Medicine, Erasmus MC, Rotterdam, the Netherlands (M.W.V.); and Department of Radiology and Nuclear Medicine, Amsterdam University Medical Centre, Amsterdam, the Netherlands (F.B.)
| | - Meike W Vernooij
- From the Centre d'Imagerie Médicale de Cornavin, Place de Cornavin 18, 1201 Geneva, Switzerland (S.H.); Department of Surgical Sciences, Radiology, Uppsala University, Uppsala, Sweden (S.H.); Faculty of Medicine of the University of Geneva, Geneva, Switzerland (S.H.); Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China (S.H.); Tanta University, Faculty of Medicine, Tanta, Egypt (S.H.); Neuroradiological Academic Unit, Department of Brain Repair and Rehabilitation, Queen Square Institute of Neurology (H.R.J., F.B.), and Centre for Medical Image Computing, Institute of Healthcare Engineering (F.B.), University College London, London, England; Lysholm Department of Neuroradiology, The National Hospital for Neurology and Neurosurgery, London, England (H.R.J.); Departments of Epidemiology and Radiology & Nuclear Medicine, Erasmus MC, Rotterdam, the Netherlands (M.W.V.); and Department of Radiology and Nuclear Medicine, Amsterdam University Medical Centre, Amsterdam, the Netherlands (F.B.)
| | - Frederik Barkhof
- From the Centre d'Imagerie Médicale de Cornavin, Place de Cornavin 18, 1201 Geneva, Switzerland (S.H.); Department of Surgical Sciences, Radiology, Uppsala University, Uppsala, Sweden (S.H.); Faculty of Medicine of the University of Geneva, Geneva, Switzerland (S.H.); Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China (S.H.); Tanta University, Faculty of Medicine, Tanta, Egypt (S.H.); Neuroradiological Academic Unit, Department of Brain Repair and Rehabilitation, Queen Square Institute of Neurology (H.R.J., F.B.), and Centre for Medical Image Computing, Institute of Healthcare Engineering (F.B.), University College London, London, England; Lysholm Department of Neuroradiology, The National Hospital for Neurology and Neurosurgery, London, England (H.R.J.); Departments of Epidemiology and Radiology & Nuclear Medicine, Erasmus MC, Rotterdam, the Netherlands (M.W.V.); and Department of Radiology and Nuclear Medicine, Amsterdam University Medical Centre, Amsterdam, the Netherlands (F.B.)
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Shih NC, Kurniawan ND, Cabeen RP, Korobkova L, Wong E, Chui HC, Clark KA, Miller CA, Hawes D, Jones KT, Sepehrband F. Microstructural mapping of dentate gyrus pathology in Alzheimer's disease: A 16.4 Tesla MRI study. Neuroimage Clin 2023; 37:103318. [PMID: 36630864 PMCID: PMC9841366 DOI: 10.1016/j.nicl.2023.103318] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2022] [Revised: 01/03/2023] [Accepted: 01/04/2023] [Indexed: 01/07/2023]
Abstract
The dentate gyrus (DG) is an integral portion of the hippocampal formation, and it is composed of three layers. Quantitative magnetic resonance (MR) imaging has the capability to map brain tissue microstructural properties which can be exploited to investigate neurodegeneration in Alzheimer's disease (AD). However, assessing subtle pathological changes within layers requires high resolution imaging and histological validation. In this study, we utilized a 16.4 Tesla scanner to acquire ex vivo multi-parameter quantitative MRI measures in human specimens across the layers of the DG. Using quantitative diffusion tensor imaging (DTI) and multi-parameter MR measurements acquired from AD (N = 4) and cognitively normal control (N = 6) tissues, we performed correlation analyses with histological measurements. Here, we found that quantitative MRI measures were significantly correlated with neurofilament and phosphorylated Tau density, suggesting sensitivity to layer-specific changes in the DG of AD tissues.
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Affiliation(s)
- Nien-Chu Shih
- USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Nyoman D Kurniawan
- Center for Advanced Imaging, The University of Queensland, Brisbane 4072, Australia
| | - Ryan P Cabeen
- USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Laura Korobkova
- Neuroscience Graduate Program, University of Southern California, Los Angeles, CA 90089. USA
| | - Ellen Wong
- Department of Neurology, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA; Department of Neurology, Rancho Los Amigos National Rehabilitation Center, Downey, CA 90242, USA
| | - Helena C Chui
- Department of Neurology, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Kristi A Clark
- Department of Neurology, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Carol A Miller
- Department of Pathology, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Debra Hawes
- Department of Pathology, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA; Department of Pathology and Laboratory Medicine, Children's Hospital of Los Angeles, Los Angeles, CA 90033, USA
| | - Kymry T Jones
- Department of Pathology, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA.
| | - Farshid Sepehrband
- USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA.
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Sapsford TP, Johnson SR, Headrick JP, Branjerdporn G, Adhikary S, Sarfaraz M, Stapelberg NJC. Forgetful, sad and old: Do vascular cognitive impairment and depression share a common pre-disease network and how is it impacted by ageing? J Psychiatr Res 2022; 156:611-627. [PMID: 36372004 DOI: 10.1016/j.jpsychires.2022.10.071] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/06/2022] [Revised: 10/25/2022] [Accepted: 10/31/2022] [Indexed: 11/07/2022]
Abstract
Vascular cognitive impairment (VCI) and depression frequently coexist in geriatric populations and reciprocally increase disease risks. We assert that a shared pre-disease state of the psycho-immune-neuroendocrine (PINE) network model mechanistically explains bidirectional associations between VCI and depression. Five pathophysiological sub-networks are identified that are shared by VCI and depression: neuroinflammation, kynurenine pathway imbalance, hypothalamic-pituitary-adrenal (HPA) axis overactivity, impaired neurotrophic support and cerebrovascular dysfunction. These do not act independently, and their complex interactions necessitate a systems biology approach to better define disease pathogenesis. The PINE network is already established in the context of non-communicable diseases (NCDs) such as depression, hypertension, atherosclerosis, coronary heart disease and type 2 diabetes mellitus. We build on previous literature to specifically explore mechanistic links between MDD and VCI in the context of PINE pathways and discuss key mechanistic commonalities linking these comorbid conditions and identify a common pre-disease state which precedes transition to VCI and MDD. We expand the model to incorporate bidirectional interactions with biological ageing. Diathesis factors for both VCI and depression feed into this network and the culmination of shared mechanisms (on an ageing substrate) lead to a critical network transition to one or both disease states. A common pre-disease state underlying VCI and depression can provide clinicians a unique opportunity for early risk assessment and intervention in disease development. Establishing the mechanistic elements and systems biology of this network can reveal early warning or predictive biomarkers together with novel therapeutic targets. Integrative studies are recommended to elucidate the dynamic networked biology of VCI and depression over time.
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Affiliation(s)
- Timothy P Sapsford
- Griffith University School of Medicine, Gold Coast, Queensland, Australia; Gold Coast Hospital and Health Service, Gold Coast, Queensland, Australia
| | - Susannah R Johnson
- Gold Coast Hospital and Health Service, Gold Coast, Queensland, Australia
| | - John P Headrick
- Griffith University School of Medicine, Gold Coast, Queensland, Australia
| | - Grace Branjerdporn
- Gold Coast Hospital and Health Service, Gold Coast, Queensland, Australia.
| | - Sam Adhikary
- Mater Young Adult Health Centre, Mater Hospital, Brisbane, Queensland, Australia
| | - Muhammad Sarfaraz
- Gold Coast Hospital and Health Service, Gold Coast, Queensland, Australia
| | - Nicolas J C Stapelberg
- Gold Coast Hospital and Health Service, Gold Coast, Queensland, Australia; Faculty of Health Sciences and Medicine, Bond University, Gold Coast, Queensland, Australia
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Leifeld J, Förster E, Reiss G, Hamad MIK. Considering the Role of Extracellular Matrix Molecules, in Particular Reelin, in Granule Cell Dispersion Related to Temporal Lobe Epilepsy. Front Cell Dev Biol 2022; 10:917575. [PMID: 35733853 PMCID: PMC9207388 DOI: 10.3389/fcell.2022.917575] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2022] [Accepted: 05/23/2022] [Indexed: 11/13/2022] Open
Abstract
The extracellular matrix (ECM) of the nervous system can be considered as a dynamically adaptable compartment between neuronal cells, in particular neurons and glial cells, that participates in physiological functions of the nervous system. It is mainly composed of carbohydrates and proteins that are secreted by the different kinds of cell types found in the nervous system, in particular neurons and glial cells, but also other cell types, such as pericytes of capillaries, ependymocytes and meningeal cells. ECM molecules participate in developmental processes, synaptic plasticity, neurodegeneration and regenerative processes. As an example, the ECM of the hippocampal formation is involved in degenerative and adaptive processes related to epilepsy. The role of various components of the ECM has been explored extensively. In particular, the ECM protein reelin, well known for orchestrating the formation of neuronal layer formation in the cerebral cortex, is also considered as a player involved in the occurrence of postnatal granule cell dispersion (GCD), a morphologically peculiar feature frequently observed in hippocampal tissue from epileptic patients. Possible causes and consequences of GCD have been studied in various in vivo and in vitro models. The present review discusses different interpretations of GCD and different views on the role of ECM protein reelin in the formation of this morphological peculiarity.
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Affiliation(s)
- Jennifer Leifeld
- Department of Neuroanatomy and Molecular Brain Research, Medical Faculty, Ruhr University Bochum, Bochum, Germany
- Department of Biochemistry I—Receptor Biochemistry, Faculty of Chemistry and Biochemistry, Ruhr University Bochum, Bochum, Germany
- *Correspondence: Jennifer Leifeld, ; Eckart Förster,
| | - Eckart Förster
- Department of Neuroanatomy and Molecular Brain Research, Medical Faculty, Ruhr University Bochum, Bochum, Germany
- *Correspondence: Jennifer Leifeld, ; Eckart Förster,
| | - Gebhard Reiss
- Institute for Anatomy and Clinical Morphology, School of Medicine, Faculty of Health, Witten/ Herdecke University, Witten, Germany
| | - Mohammad I. K. Hamad
- Institute for Anatomy and Clinical Morphology, School of Medicine, Faculty of Health, Witten/ Herdecke University, Witten, Germany
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8
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Functional Imaging for Neurodegenerative Diseases. Presse Med 2022; 51:104121. [PMID: 35490910 DOI: 10.1016/j.lpm.2022.104121] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/14/2021] [Revised: 03/13/2022] [Accepted: 04/11/2022] [Indexed: 12/16/2022] Open
Abstract
Diagnosis and monitoring of neurodegenerative diseases has changed profoundly over the past twenty years. Biomarkers are now included in most diagnostic procedures as well as in clinical trials. Neuroimaging biomarkers provide access to brain structure and function over the course of neurodegenerative diseases. They have brought new insights into a wide range of neurodegenerative diseases and have made it possible to describe some of the imaging challenges in clinical populations. MRI mainly explores brain structure while molecular imaging, functional MRI and electro- and magnetoencephalography examine brain function. In this paper, we describe and analyse the current and potential contribution of MRI and molecular imaging in the field of neurodegenerative diseases.
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9
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Khatri U, Kwon GR. Alzheimer's Disease Diagnosis and Biomarker Analysis Using Resting-State Functional MRI Functional Brain Network With Multi-Measures Features and Hippocampal Subfield and Amygdala Volume of Structural MRI. Front Aging Neurosci 2022; 14:818871. [PMID: 35707703 PMCID: PMC9190953 DOI: 10.3389/fnagi.2022.818871] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2021] [Accepted: 03/01/2022] [Indexed: 11/13/2022] Open
Abstract
Accurate diagnosis of the initial phase of Alzheimer's disease (AD) is essential and crucial. The objective of this research was to employ efficient biomarkers for the diagnostic analysis and classification of AD based on combining structural MRI (sMRI) and resting-state functional MRI (rs-fMRI). So far, several anatomical MRI imaging markers for AD diagnosis have been identified. The use of cortical and subcortical volumes, the hippocampus, and amygdala volume, as well as genetic patterns, has proven to be beneficial in distinguishing patients with AD from the healthy population. The fMRI time series data have the potential for specific numerical information as well as dynamic temporal information. Voxel and graphical analyses have gained popularity for analyzing neurodegenerative diseases, such as Alzheimer's and its prodromal phase, mild cognitive impairment (MCI). So far, these approaches have been utilized separately for the diagnosis of AD. In recent studies, the classification of cases of MCI into those that are not converted for a certain period as stable MCI (MCIs) and those that converted to AD as MCIc has been less commonly reported with inconsistent results. In this study, we verified and validated the potency of a proposed diagnostic framework to identify AD and differentiate MCIs from MCIc by utilizing the efficient biomarkers obtained from sMRI, along with functional brain networks of the frequency range .01-.027 at the resting state and the voxel-based features. The latter mainly included default mode networks (amplitude of low-frequency fluctuation [ALFF], fractional ALFF [ALFF], and regional homogeneity [ReHo]), degree centrality (DC), and salience networks (SN). Pearson's correlation coefficient for measuring fMRI functional networks has proven to be an efficient means for disease diagnosis. We applied the graph theory to calculate nodal features (nodal degree [ND], nodal path length [NL], and between centrality [BC]) as a graphical feature and analyzed the connectivity link between different brain regions. We extracted three-dimensional (3D) patterns to calculate regional coherence and then implement a univariate statistical t-test to access a 3D mask that preserves voxels showing significant changes. Similarly, from sMRI, we calculated the hippocampal subfield and amygdala nuclei volume using Freesurfer (version 6). Finally, we implemented and compared the different feature selection algorithms to integrate the structural features, brain networks, and voxel features to optimize the diagnostic identifications of AD using support vector machine (SVM) classifiers. We also compared the performance of SVM with Random Forest (RF) classifiers. The obtained results demonstrated the potency of our framework, wherein a combination of the hippocampal subfield, the amygdala volume, and brain networks with multiple measures of rs-fMRI could significantly enhance the accuracy of other approaches in diagnosing AD. The accuracy obtained by the proposed method was reported for binary classification. More importantly, the classification results of the less commonly reported MCIs vs. MCIc improved significantly. However, this research involved only the AD Neuroimaging Initiative (ADNI) cohort to focus on the diagnosis of AD advancement by integrating sMRI and fMRI. Hence, the study's primary disadvantage is its small sample size. In this case, the dataset we utilized did not fully reflect the whole population. As a result, we cannot guarantee that our findings will be applicable to other populations.
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Affiliation(s)
| | - Goo-Rak Kwon
- Department of Information and Communication Engineering, Chosun University, Gwangju, South Korea
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10
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Thapaliya K, Staines D, Marshall-Gradisnik S, Su J, Barnden L. Volumetric differences in hippocampal subfields and associations with clinical measures in myalgic encephalomyelitis/chronic fatigue syndrome. J Neurosci Res 2022; 100:1476-1486. [PMID: 35355311 PMCID: PMC9321967 DOI: 10.1002/jnr.25048] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2021] [Revised: 03/13/2022] [Accepted: 03/15/2022] [Indexed: 12/02/2022]
Abstract
Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) patients suffer from a cognitive and memory dysfunction. Because the hippocampus plays a key role in both cognition and memory, we tested for volumetric differences in the subfields of the hippocampus in ME/CFS. We estimated hippocampal subfield volumes for 25 ME/CFS patients who met Fukuda criteria only (ME/CFSFukuda), 18 ME/CFS patients who met the stricter ICC criteria (ME/CFSICC), and 25 healthy controls (HC). Group comparisons with HC detected extensive differences in subfield volumes in ME/CFSICC but not in ME/CFSFukuda. ME/CFSICC patients had significantly larger volume in the left subiculum head (p < 0.001), left presubiculum head (p = 0.0020), and left fimbria (p = 0.004). Correlations of hippocampus subfield volumes with clinical measures were stronger in ME/CFSICC than in ME/CFSFukuda patients. In ME/CFSFukuda patients, we detected positive correlations between fatigue and hippocampus subfield volumes and a negative correlation between sleep disturbance score and the right CA1 body volume. In ME/CFSICC patients, we detected a strong negative relationship between fatigue and left hippocampus tail volume. Strong negative relationships were also detected between pain and SF36 physical scores and two hippocampal subfield volumes (left: GC‐ML‐DG head and CA4 head). Our study demonstrated that volumetric differences in hippocampal subfields have strong statistical inference for patients meeting the ME/CFSICC case definition and confirms hippocampal involvement in the cognitive and memory problems of ME/CFSICC patients.
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Affiliation(s)
- Kiran Thapaliya
- National Centre for Neuroimmunology and Emerging Diseases, Menzies Health Institute Queensland, Griffith University, Gold Coast, QLD, Australia.,Centre for Advanced Imaging, The University of Queensland, Brisbane, QLD, Australia
| | - Donald Staines
- National Centre for Neuroimmunology and Emerging Diseases, Menzies Health Institute Queensland, Griffith University, Gold Coast, QLD, Australia
| | - Sonya Marshall-Gradisnik
- National Centre for Neuroimmunology and Emerging Diseases, Menzies Health Institute Queensland, Griffith University, Gold Coast, QLD, Australia
| | - Jiasheng Su
- National Centre for Neuroimmunology and Emerging Diseases, Menzies Health Institute Queensland, Griffith University, Gold Coast, QLD, Australia
| | - Leighton Barnden
- National Centre for Neuroimmunology and Emerging Diseases, Menzies Health Institute Queensland, Griffith University, Gold Coast, QLD, Australia
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11
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Fixemer S, Ameli C, Hammer G, Salamanca L, Uriarte Huarte O, Schwartz C, Gérardy JJ, Mechawar N, Skupin A, Mittelbronn M, Bouvier DS. Microglia phenotypes are associated with subregional patterns of concomitant tau, amyloid-β and α-synuclein pathologies in the hippocampus of patients with Alzheimer's disease and dementia with Lewy bodies. Acta Neuropathol Commun 2022; 10:36. [PMID: 35296366 PMCID: PMC8925098 DOI: 10.1186/s40478-022-01342-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2022] [Accepted: 03/02/2022] [Indexed: 12/26/2022] Open
Abstract
The cellular alterations of the hippocampus lead to memory decline, a shared symptom between Alzheimer’s disease (AD) and dementia with Lewy Bodies (DLB) patients. However, the subregional deterioration pattern of the hippocampus differs between AD and DLB with the CA1 subfield being more severely affected in AD. The activation of microglia, the brain immune cells, could play a role in its selective volume loss. How subregional microglia populations vary within AD or DLB and across these conditions remains poorly understood. Furthermore, how the nature of the hippocampal local pathological imprint is associated with microglia responses needs to be elucidated. To this purpose, we employed an automated pipeline for analysis of 3D confocal microscopy images to assess CA1, CA3 and DG/CA4 subfields microglia responses in post-mortem hippocampal samples from late-onset AD (n = 10), DLB (n = 8) and age-matched control (CTL) (n = 11) individuals. In parallel, we performed volumetric analyses of hyperphosphorylated tau (pTau), amyloid-β (Aβ) and phosphorylated α-synuclein (pSyn) loads. For each of the 32,447 extracted microglia, 16 morphological features were measured to classify them into seven distinct morphological clusters. Our results show similar alterations of microglial morphological features and clusters in AD and DLB, but with more prominent changes in AD. We identified two distinct microglia clusters enriched in disease conditions and particularly increased in CA1 and DG/CA4 of AD and CA3 of DLB. Our study confirms frequent concomitance of pTau, Aβ and pSyn loads across AD and DLB but reveals a specific subregional pattern for each type of pathology, along with a generally increased severity in AD. Furthermore, pTau and pSyn loads were highly correlated across subregions and conditions. We uncovered tight associations between microglial changes and the subfield pathological imprint. Our findings suggest that combinations and severity of subregional pTau, Aβ and pSyn pathologies transform local microglia phenotypic composition in the hippocampus. The high burdens of pTau and pSyn associated with increased microglial alterations could be a factor in CA1 vulnerability in AD.
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12
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Saeed U, Desmarais P, Masellis M. The APOE ε4 variant and hippocampal atrophy in Alzheimer's disease and Lewy body dementia: a systematic review of magnetic resonance imaging studies and therapeutic relevance. Expert Rev Neurother 2021; 21:851-870. [PMID: 34311631 DOI: 10.1080/14737175.2021.1956904] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
Introduction: The apolipoprotein E ɛ4-allele (APOE-ɛ4) increases the risk not only for Alzheimer's disease (AD) but also for Parkinson's disease dementia and dementia with Lewy bodies (collectively, Lewy body dementia [LBD]). Hippocampal volume is an important neuroimaging biomarker for AD and LBD, although its association with APOE-ɛ4 is inconsistently reported. We investigated the association of APOE-ε4 with hippocampal atrophy quantified using magnetic resonance imaging in AD and LBD.Areas covered: Databases were searched for volumetric and voxel-based morphometric studies published up until December 31st, 2020. Thirty-nine studies (25 cross-sectional, 14 longitudinal) were included. We observed that (1) APOE-ε4 was associated with greater rate of hippocampal atrophy in longitudinal studies in AD and in those who progressed from mild cognitive impairment to AD, (2) association of APOE-ε4 with hippocampal atrophy in cross-sectional studies was inconsistent, (3) APOE-ɛ4 may influence hippocampal atrophy in dementia with Lewy bodies, although longitudinal investigations are needed. We comprehensively discussed methodological aspects, APOE-based therapeutic approaches, and the association of APOE-ε4 with hippocampal sub-regions and cognitive performance.Expert opinion: The role of APOE-ɛ4 in modulating hippocampal phenotypes may be further clarified through more homogenous, well-powered, and pathology-proven, longitudinal investigations. Understanding the underlying mechanisms will facilitate the development of prevention strategies targeting APOE-ɛ4.
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Affiliation(s)
- Usman Saeed
- Institute of Medical Science, Faculty of Medicine, University of Toronto, Toronto, Canada.,L.C. Campbell Cognitive Neurology Research Unit, Sunnybrook Health Sciences Centre, Toronto, Canada.,Hurvitz Brain Sciences Program, Sunnybrook Research Institute, Toronto, Canada
| | - Philippe Desmarais
- Institute of Medical Science, Faculty of Medicine, University of Toronto, Toronto, Canada.,L.C. Campbell Cognitive Neurology Research Unit, Sunnybrook Health Sciences Centre, Toronto, Canada.,Hurvitz Brain Sciences Program, Sunnybrook Research Institute, Toronto, Canada
| | - Mario Masellis
- Institute of Medical Science, Faculty of Medicine, University of Toronto, Toronto, Canada.,L.C. Campbell Cognitive Neurology Research Unit, Sunnybrook Health Sciences Centre, Toronto, Canada.,Hurvitz Brain Sciences Program, Sunnybrook Research Institute, Toronto, Canada.,Division of Neurology, Department of Medicine, University of Toronto, Toronto, Canada.,Cognitive and Movement Disorders Clinic, Sunnybrook Health Sciences Centre, Toronto, Canada
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13
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Leung IHK, Broadhouse KM, Mowszowski L, LaMonica HM, Palmer JR, Hickie IB, Naismith SL, Duffy SL. Association between lifetime depression history, hippocampal volume and memory in non-amnestic mild cognitive impairment. Eur J Neurosci 2021; 54:4953-4970. [PMID: 33765347 DOI: 10.1111/ejn.15207] [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: 12/21/2020] [Revised: 03/01/2021] [Accepted: 03/14/2021] [Indexed: 11/28/2022]
Abstract
Hippocampal subfield volume loss in older adults with amnestic mild cognitive impairment (aMCI) and depression history are associated with amyloid beta and tau pathology, thereby increasing the risk for Alzheimer's disease (AD). However, no studies have exclusively examined distinct alterations in hippocampal subfields in non-amnestic MCI (naMCI) in relation to depression history. Here, we used both longitudinal and transverse hippocampal segmentation methods using the automated FreeSurfer software to examine whether a lifetime depression history is associated with differences in hippocampal head/body/tail (H/B/T) and key subfield volumes (CA1, subiculum, dentate gyrus) in older adults with naMCI. Further, we explored whether differences in hippocampal H/B/T and subfield volumes were associated with structured and unstructured verbal encoding and retention, comparing those with and without a depression history. The naMCI with a depression history group demonstrated larger or relatively preserved right CA1 volumes, which were associated with better unstructured verbal encoding and as well as structured verbal memory retention. This association between memory encoding and hippocampal CA1 and total head volume was significantly different to those with no depression history. The relationship between right CA1 volume and memory retention was also moderated by depression history status F (5,143) = 7.84, p < 0.001, R2 = 0.22. Those participants taking antidepressants had significantly larger hippocampal subiculum (p = 0.008), and right hippocampal body (p = 0.004) and better performance on structured encoding (p = 0.011) and unstructured memory retention (p = 0.009). These findings highlight the importance of lifetime depression history and antidepressant use on the hippocampus and encoding and memory retention in naMCI.
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Affiliation(s)
- Isabella Hoi Kei Leung
- Healthy Brain Ageing Program, Brain and Mind Centre, University of Sydney, Sydney, NSW, Australia.,Charles Perkins Centre, University of Sydney, Sydney, NSW, Australia.,Faculty of Medicine and Health, Central Clinical School, University of Sydney, Sydney, NSW, Australia
| | - Kathryn Mary Broadhouse
- Charles Perkins Centre, University of Sydney, Sydney, NSW, Australia.,School of Science and Engineering, University of the Sunshine Coast, Sunshine Coast, QLD, Australia
| | - Loren Mowszowski
- Healthy Brain Ageing Program, Brain and Mind Centre, University of Sydney, Sydney, NSW, Australia.,Faculty of Science, School of Psychology, University of Sydney, Sydney, NSW, Australia
| | - Haley M LaMonica
- Healthy Brain Ageing Program, Brain and Mind Centre, University of Sydney, Sydney, NSW, Australia.,Faculty of Medicine and Health, Central Clinical School, University of Sydney, Sydney, NSW, Australia
| | - Jake Robert Palmer
- Healthy Brain Ageing Program, Brain and Mind Centre, University of Sydney, Sydney, NSW, Australia.,Department of Psychology, Macquarie University, Sydney, NSW, Australia
| | - Ian B Hickie
- Healthy Brain Ageing Program, Brain and Mind Centre, University of Sydney, Sydney, NSW, Australia.,Charles Perkins Centre, University of Sydney, Sydney, NSW, Australia
| | - Sharon L Naismith
- Healthy Brain Ageing Program, Brain and Mind Centre, University of Sydney, Sydney, NSW, Australia.,Charles Perkins Centre, University of Sydney, Sydney, NSW, Australia.,Faculty of Science, School of Psychology, University of Sydney, Sydney, NSW, Australia
| | - Shantel Leigh Duffy
- Healthy Brain Ageing Program, Brain and Mind Centre, University of Sydney, Sydney, NSW, Australia.,Charles Perkins Centre, University of Sydney, Sydney, NSW, Australia.,Charles Perkins Centre, Discipline of Exercise and Sport Science, Faculty of Health Sciences, University of Sydney, Sydney, NSW, Australia
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14
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Schumacher J, Taylor JP, Hamilton CA, Firbank M, Cromarty RA, Donaghy PC, Roberts G, Allan L, Lloyd J, Durcan R, Barnett N, O'Brien JT, Thomas AJ. In vivo nucleus basalis of Meynert degeneration in mild cognitive impairment with Lewy bodies. NEUROIMAGE-CLINICAL 2021; 30:102604. [PMID: 33711623 PMCID: PMC7972982 DOI: 10.1016/j.nicl.2021.102604] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/02/2020] [Revised: 01/05/2021] [Accepted: 02/15/2021] [Indexed: 11/25/2022]
Abstract
Nucleus basalis of Meynert (NBM) degeneration occurs early in Lewy body dementia. NBM degeneration is related to cognitive impairment in MCI with Lewy bodies. EEG slowing in MCI patients is related to the severity of NBM degeneration.
Objectives To investigate in vivo degeneration of the cholinergic system in mild cognitive impairment with Lewy bodies (MCI-LB), we studied nucleus basalis of Meynert (NBM) volumes from structural MR images and its relation to EEG slowing and cognitive impairment. Methods We studied the NBM using structural MR images in 37 patients with MCI-LB, 34 patients with MCI with Alzheimer’s disease (MCI-AD), and 31 healthy control participants. We also tested correlations between NBM volumes and measures of overall cognition and measures of EEG slowing in the MCI groups. Results Overall NBM volume was reduced in MCI-LB compared to controls with no significant difference between MCI-AD and controls or between the two MCI groups. The voxel-wise analysis revealed bilateral clusters of reduced NBM volume in MCI-LB compared to controls and smaller clusters in MCI-AD compared to controls. There was a significant association between overall NBM volume and measures of overall cognition in MCI-LB, but not in MCI-AD. In both MCI groups, reduced NBM volume was correlated with more severe EEG slowing. Conclusions This study provides in vivo evidence that early cholinergic degeneration in DLB occurs at the MCI stage and is related to the severity of cognitive impairment. Furthermore, the results suggest that early EEG slowing in MCI-LB might be in part cholinergically driven. Importantly, these findings suggest an early cholinergic deficit in MCI-LB that may motivate further testing of the effectiveness of cholinesterase inhibitors in this group.
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Affiliation(s)
- Julia Schumacher
- Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Campus for Ageing and Vitality, Newcastle upon Tyne NE4 5PL, United Kingdom.
| | - John-Paul Taylor
- Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Campus for Ageing and Vitality, Newcastle upon Tyne NE4 5PL, United Kingdom
| | - Calum A Hamilton
- Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Campus for Ageing and Vitality, Newcastle upon Tyne NE4 5PL, United Kingdom
| | - Michael Firbank
- Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Campus for Ageing and Vitality, Newcastle upon Tyne NE4 5PL, United Kingdom
| | - Ruth A Cromarty
- Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Campus for Ageing and Vitality, Newcastle upon Tyne NE4 5PL, United Kingdom
| | - Paul C Donaghy
- Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Campus for Ageing and Vitality, Newcastle upon Tyne NE4 5PL, United Kingdom
| | - Gemma Roberts
- Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Campus for Ageing and Vitality, Newcastle upon Tyne NE4 5PL, United Kingdom
| | - Louise Allan
- Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Campus for Ageing and Vitality, Newcastle upon Tyne NE4 5PL, United Kingdom; Institute of Health Research, University of Exeter, Exeter, United Kingdom
| | - Jim Lloyd
- Nuclear Medicine Department, Newcastle upon Tyne Hospitals NFS Foundation Trust, Newcastle upon Tyne, United Kingdom
| | - Rory Durcan
- Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Campus for Ageing and Vitality, Newcastle upon Tyne NE4 5PL, United Kingdom
| | - Nicola Barnett
- Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Campus for Ageing and Vitality, Newcastle upon Tyne NE4 5PL, United Kingdom
| | - John T O'Brien
- Department of Psychiatry, University of Cambridge School of Medicine, Cambridge CB2 0SP, United Kingdom
| | - Alan J Thomas
- Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Campus for Ageing and Vitality, Newcastle upon Tyne NE4 5PL, United Kingdom
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15
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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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16
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Brown SSG, Mak E, Zaman S. Multi-Modal Imaging in Down's Syndrome: Maximizing Utility Through Innovative Neuroimaging Approaches. Front Neurol 2021; 11:629463. [PMID: 33488507 PMCID: PMC7817620 DOI: 10.3389/fneur.2020.629463] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2020] [Accepted: 12/08/2020] [Indexed: 11/13/2022] Open
Abstract
In recent decades, the field of neuroimaging has experienced a surge of popularity and innovation which has led to significant advancements in the understanding of neurological disease, if not immediate clinical translation. In the case of Down's syndrome, a complex interplay of neurodevelopmental and neurodegenerative processes occur as a result of the trisomy of chromosome 21. The substantial potential impact of improved clinical intervention and the limited research under-taken to date make it a prime candidate for longitudinal neuroimaging-based study. However, as with a multitude of other multifaceted brain-based disorders, singular utilization of lone modality imaging has limited interpretability and applicability. Indeed, a present challenge facing the neuroimaging community as a whole is the methodological integration of multi-modal imaging to enhance clinical understanding. This review therefore aims to assess the current literature in Down's syndrome utilizing a multi-modal approach with regards to improvement upon consideration of a single modality. Additionally, we discuss potential avenues of future research that may effectively combine structural, functional and molecular-based imaging techniques for the significant benefit of the understanding of Down's syndrome pathology.
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Affiliation(s)
- Stephanie S. G. Brown
- Cambridge Intellectual and Developmental Disabilities Research Group, Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom
| | - Elijah Mak
- Cambridge Intellectual and Developmental Disabilities Research Group, Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom
- Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom
| | - Shahid Zaman
- Cambridge Intellectual and Developmental Disabilities Research Group, Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom
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17
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Sämann PG, Iglesias JE, Gutman B, Grotegerd D, Leenings R, Flint C, Dannlowski U, Clarke‐Rubright EK, Morey RA, Erp TG, Whelan CD, Han LKM, Velzen LS, Cao B, Augustinack JC, Thompson PM, Jahanshad N, Schmaal L. FreeSurfer
‐based segmentation of hippocampal subfields: A review of methods and applications, with a novel quality control procedure for
ENIGMA
studies and other collaborative efforts. Hum Brain Mapp 2020; 43:207-233. [PMID: 33368865 PMCID: PMC8805696 DOI: 10.1002/hbm.25326] [Citation(s) in RCA: 48] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2020] [Revised: 11/26/2020] [Accepted: 12/13/2020] [Indexed: 12/11/2022] Open
Abstract
Structural hippocampal abnormalities are common in many neurological and psychiatric disorders, and variation in hippocampal measures is related to cognitive performance and other complex phenotypes such as stress sensitivity. Hippocampal subregions are increasingly studied, as automated algorithms have become available for mapping and volume quantification. In the context of the Enhancing Neuro Imaging Genetics through Meta Analysis Consortium, several Disease Working Groups are using the FreeSurfer software to analyze hippocampal subregion (subfield) volumes in patients with neurological and psychiatric conditions along with data from matched controls. In this overview, we explain the algorithm's principles, summarize measurement reliability studies, and demonstrate two additional aspects (subfield autocorrelation and volume/reliability correlation) with illustrative data. We then explain the rationale for a standardized hippocampal subfield segmentation quality control (QC) procedure for improved pipeline harmonization. To guide researchers to make optimal use of the algorithm, we discuss how global size and age effects can be modeled, how QC steps can be incorporated and how subfields may be aggregated into composite volumes. This discussion is based on a synopsis of 162 published neuroimaging studies (01/2013–12/2019) that applied the FreeSurfer hippocampal subfield segmentation in a broad range of domains including cognition and healthy aging, brain development and neurodegeneration, affective disorders, psychosis, stress regulation, neurotoxicity, epilepsy, inflammatory disease, childhood adversity and posttraumatic stress disorder, and candidate and whole genome (epi‐)genetics. Finally, we highlight points where FreeSurfer‐based hippocampal subfield studies may be optimized.
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Affiliation(s)
| | - Juan Eugenio Iglesias
- Centre for Medical Image Computing University College London London UK
- The Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology Massachusetts General Hospital/Harvard Medical School Boston Massachusetts US
- Computer Science and AI Laboratory (CSAIL), Massachusetts Institute of Technology (MIT) Cambridge Massachusetts US
| | - Boris Gutman
- Department of Biomedical Engineering Illinois Institute of Technology Chicago USA
| | | | - Ramona Leenings
- Department of Psychiatry University of Münster Münster Germany
| | - Claas Flint
- Department of Psychiatry University of Münster Münster Germany
- Department of Mathematics and Computer Science University of Münster Germany
| | - Udo Dannlowski
- Department of Psychiatry University of Münster Münster Germany
| | - Emily K. Clarke‐Rubright
- Brain Imaging and Analysis Center, Duke University Durham North Carolina USA
- VISN 6 MIRECC, Durham VA Durham North Carolina USA
| | - Rajendra A. Morey
- Brain Imaging and Analysis Center, Duke University Durham North Carolina USA
- VISN 6 MIRECC, Durham VA Durham North Carolina USA
| | - Theo G.M. Erp
- Clinical Translational Neuroscience Laboratory, Department of Psychiatry and Human Behavior University of California Irvine California USA
- Center for the Neurobiology of Learning and Memory University of California Irvine Irvine California USA
| | - Christopher D. Whelan
- Imaging Genetics Center Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California Los Angeles California USA
| | - Laura K. M. Han
- Department of Psychiatry Amsterdam University Medical Centers, Vrije Universiteit and GGZ inGeest, Amsterdam Neuroscience Amsterdam The Netherlands
| | - Laura S. Velzen
- Orygen Parkville Australia
- Centre for Youth Mental Health The University of Melbourne Melbourne Australia
| | - Bo Cao
- Department of Psychiatry, Faculty of Medicine & Dentistry University of Alberta Edmonton Canada
| | - Jean C. Augustinack
- The Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology Massachusetts General Hospital/Harvard Medical School Boston Massachusetts US
| | - Paul M. Thompson
- Imaging Genetics Center Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California Los Angeles California USA
| | - Neda Jahanshad
- Imaging Genetics Center Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California Los Angeles California USA
| | - Lianne Schmaal
- Orygen Parkville Australia
- Centre for Youth Mental Health The University of Melbourne Melbourne Australia
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18
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Etherton MR, Fotiadis P, Giese AK, Iglesias JE, Wu O, Rost NS. White Matter Hyperintensity Burden Is Associated With Hippocampal Subfield Volume in Stroke. Front Neurol 2020; 11:588883. [PMID: 33193055 PMCID: PMC7649326 DOI: 10.3389/fneur.2020.588883] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2020] [Accepted: 10/05/2020] [Indexed: 12/05/2022] Open
Abstract
White matter hyperintensities of presumed vascular origin (WMH) are a prevalent form of cerebral small-vessel disease and an important risk factor for post-stroke cognitive dysfunction. Despite this prevalence, it is not well understood how WMH contributes to post-stroke cognitive dysfunction. Preliminary findings suggest that increasing WMH volume is associated with total hippocampal volume in chronic stroke patients. The hippocampus, however, is a complex structure with distinct subfields that have varying roles in the function of the hippocampal circuitry and unique anatomical projections to different brain regions. For these reasons, an investigation into the relationship between WMH and hippocampal subfield volume may further delineate how WMH predispose to post-stroke cognitive dysfunction. In a prospective study of acute ischemic stroke patients with moderate/severe WMH burden, we assessed the relationship between quantitative WMH burden and hippocampal subfield volumes. Patients underwent a 3T MRI brain within 2–5 days of stroke onset. Total WMH volume was calculated in a semi-automated manner. Mean cortical thickness and hippocampal volumes were measured in the contralesional hemisphere. Total and subfield hippocampal volumes were measured using an automated, high-resolution, ex vivo computational atlas. Linear regression analyses were performed for predictors of total and subfield hippocampal volumes. Forty patients with acute ischemic stroke and moderate/severe white matter hyperintensity burden were included in this analysis. Median WMH volume was 9.0 cm3. Adjusting for intracranial volume and stroke laterality, age (β = −3.7, P < 0.001), hypertension (β = −44.7, P = 0.04), WMH volume (β = −0.89, P = 0.049), and mean cortical thickness (β = 286.2, P = 0.006) were associated with total hippocampal volume. In multivariable analysis, age (β = −3.3, P < 0.001) and cortical thickness (β = 205.2, P = 0.028) remained independently associated with total hippocampal volume. In linear regression for predictors of hippocampal subfield volume, increasing WMH volume was associated with decreased hippocampal-amygdala transition area volume (β = −0.04, P = 0.001). These finding suggest that in ischemic stroke patients, increased WMH burden is associated with selective hippocampal subfield degeneration in the hippocampal-amygdala transition area.
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Affiliation(s)
- Mark R Etherton
- Department of Neurology, J. Philip Kistler Stroke Research Center, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Panagiotis Fotiadis
- Department of Neurology, J. Philip Kistler Stroke Research Center, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Anne-Katrin Giese
- Department of Neurology, J. Philip Kistler Stroke Research Center, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Juan E Iglesias
- Department of Radiology, Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA, United States
| | - Ona Wu
- Department of Neurology, J. Philip Kistler Stroke Research Center, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States.,Department of Radiology, Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA, United States
| | - Natalia S Rost
- Department of Neurology, J. Philip Kistler Stroke Research Center, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
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19
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Gurel B, Cansev M, Koc C, Ocalan B, Cakir A, Aydin S, Kahveci N, Ulus IH, Sahin B, Basar MK, Baykal AT. Proteomics Analysis of CA1 Region of the Hippocampus in Pre-, Progression and Pathological Stages in a Mouse Model of the Alzheimer's Disease. Curr Alzheimer Res 2020; 16:613-621. [PMID: 31362689 DOI: 10.2174/1567205016666190730155926] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2018] [Revised: 03/15/2019] [Accepted: 07/04/2019] [Indexed: 02/07/2023]
Abstract
BACKGROUND CA1 subregion of the hippocampal formation is one of the primarily affected structures in AD, yet not much is known about proteome alterations in the extracellular milieu of this region. OBJECTIVE In this study, we aimed to identify the protein expression alterations throughout the pre-pathological, progression and pathological stages of AD mouse model. METHODS The CA1 region perfusates were collected by in-vivo intracerebral push-pull perfusion from transgenic 5XFAD mice and their non-transgenic littermates at 3, 6 and 12 wereβmonths of age. Morris water maze test and immunohistochemistry staining of A performed to determine the stages of the disease in this mouse model. The protein expression differences were analyzed by label-free shotgun proteomics analysis. RESULTS A total of 251, 213 and 238 proteins were identified in samples obtained from CA1 regions of mice at 3, 6 and 12 months of age, respectively. Of these, 68, 41 and 33 proteins showed statistical significance. Pathway analysis based on the unique and common proteins within the groups revealed that several pathways are dysregulated during different stages of AD. The alterations in glucose and lipid metabolisms respectively in pre-pathologic and progression stages of the disease, lead to imbalances in ROS production via diminished SOD level and impairment of neuronal integrity. CONCLUSION We conclude that CA1 region-specific proteomic analysis of hippocampal degeneration may be useful in identifying the earliest as well as progressional changes that are associated with Alzheimer's disease.
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Affiliation(s)
- Busra Gurel
- Regenerative and Restorative Medical Research Center, Istanbul Medipol University, Istanbul, Turkey.,Department of Medical Biochemistry, Faculty of Medicine, Acibadem Mehmet Ali Aydinlar University, Istanbul, Turkey
| | - Mehmet Cansev
- Department of Pharmacology, Faculty of Medicine, Uludag University, Bursa, Turkey
| | - Cansu Koc
- Department of Pharmacology, Faculty of Medicine, Uludag University, Bursa, Turkey
| | - Busra Ocalan
- Department of Physiology, Faculty of Medicine, Uludag University, Bursa, Turkey
| | - Aysen Cakir
- Department of Physiology, Faculty of Medicine, Uludag University, Bursa, Turkey
| | - Sami Aydin
- Department of Pharmacology, Faculty of Medicine, Uludag University, Bursa, Turkey
| | - Nevzat Kahveci
- Department of Physiology, Faculty of Medicine, Uludag University, Bursa, Turkey
| | - Ismail Hakki Ulus
- Department of Pharmacology, Faculty of Medicine, Acibadem Mehmet Ali Aydinlar University, Istanbul, Turkey
| | - Betul Sahin
- Acibadem Labmed R&D Laboratory, Istanbul, Turkey
| | - Merve Karayel Basar
- Department of Medical Biochemistry, Faculty of Medicine, Acibadem Mehmet Ali Aydinlar University, Istanbul, Turkey
| | - Ahmet Tarik Baykal
- Department of Medical Biochemistry, Faculty of Medicine, Acibadem Mehmet Ali Aydinlar University, Istanbul, Turkey
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20
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Borda MG, Jaramillo-Jimenez A, Tovar-Rios DA, Ferreira D, Garcia-Cifuentes E, Vik-Mo AO, Aarsland V, Aarsland D, Oppedal K. Hippocampal subfields and decline in activities of daily living in Alzheimer's disease and dementia with Lewy bodies. Neurodegener Dis Manag 2020; 10:357-367. [PMID: 32967534 DOI: 10.2217/nmt-2020-0039] [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: 01/18/2023] Open
Abstract
Background: Hippocampal atrophy is presented in Alzheimer's disease (AD) and dementia with Lewy bodies (DLB). Cognition, dual-tasks, muscular function, goal-related behaviors and neuropsychiatric symptoms are linked to hippocampal volumes and may lead to functional decline in activities of daily living. We examined the association between baseline hippocampal subfield volumes (HSv) in mild AD and DLB, and functional decline. Materials & methods: 12 HSv were computed from structural magnetic resonance images using Freesurfer 6.0 segmentation. Functional decline was assessed using the rapid disability rating scale score. Linear regressions were conducted. Results: In AD, HSv were smaller bilaterally. However, HSv were not associated with functional decline. Conclusion: Functional decline does not depend on HSv in mild AD and DLB.
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Affiliation(s)
- Miguel Germán Borda
- Centre for Age-Related Medicine (SESAM), Stavanger University Hospital, Stavanger, Norway.,Semillero de Neurociencias y Envejecimiento, Ageing Institute, Medical School, Pontificia Universidad Javeriana, Bogotá, Colombia.,Faculty of Health Sciences, University of Stavanger, Stavanger, Norway
| | - Alberto Jaramillo-Jimenez
- Centre for Age-Related Medicine (SESAM), Stavanger University Hospital, Stavanger, Norway.,Faculty of Health Sciences, University of Stavanger, Stavanger, Norway.,Grupo de Neurociencias de Antioquia, School of Medicine, Universidad de Antioquia, Medellín, Colombia.,Grupo Neuropsicología y Conducta, School of Medicine, Universidad de Antioquia, Medellín, Colombia.,Semillero de investigación SINAPSIS, School of Medicine, Universidad de Antioquia, Medellín, Colombia
| | - Diego A Tovar-Rios
- School of Statistics, Universidad del Valle, Santiago de Cali, Colombia.,School of Basic Sciences, Universidad Autónoma de Occidente, Santiago de Cali, Colombia
| | - Daniel Ferreira
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences & Society, Karolinska Institutet, Stockholm, Sweden
| | - Elkin Garcia-Cifuentes
- Semillero de Neurociencias y Envejecimiento, Ageing Institute, Medical School, Pontificia Universidad Javeriana, Bogotá, Colombia.,Grupo de Neurociencias de Antioquia, School of Medicine, Universidad de Antioquia, Medellín, Colombia
| | - Audun Osland Vik-Mo
- Centre for Age-Related Medicine (SESAM), Stavanger University Hospital, Stavanger, Norway.,Department of Clinical Medicine, University of Bergen, Bergen, Norway
| | - Vera Aarsland
- Centre for Age-Related Medicine (SESAM), Stavanger University Hospital, Stavanger, Norway.,School of Medicine, Semmelweis University, Budapest, Hungary
| | - Dag Aarsland
- Centre for Age-Related Medicine (SESAM), Stavanger University Hospital, Stavanger, Norway.,Department of Old Age Psychiatry, Institute of Psychiatry, Psychology, & Neuroscience, King's College London, London, UK
| | - Ketil Oppedal
- Centre for Age-Related Medicine (SESAM), Stavanger University Hospital, Stavanger, Norway.,Stavanger Medical Imaging Laboratory (SMIL), Department of Radiology, Stavanger University Hospital, Stavanger, Norway.,Department of Electrical Engineering & Computer Science, University of Stavanger, Stavanger, Norway
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21
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de Schipper LJ, Hafkemeijer A, van der Grond J, Marinus J, Henselmans JML, van Hilten JJ. Regional Structural Hippocampal Differences Between Dementia with Lewy Bodies and Parkinson's Disease. JOURNAL OF PARKINSONS DISEASE 2020; 9:775-783. [PMID: 31524178 PMCID: PMC6839604 DOI: 10.3233/jpd-191600] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Background: Dementia with Lewy bodies (DLB) and Parkinson’s disease (PD) are considered subtypes of the α-synucleinopathy continuum that show similar and dissimilar clinical and morphological features. Objective: To further our understanding of brain abnormalities that might differentiate both disorders more clearly, we performed quantitative magnetic resonance (MR) imaging of the subcortical and cortical grey matter. Methods: Three-dimensional T1 weighted 3 tesla MR images of 14 DLB and 62 age- and gender-matched PD patients were examined to study cortical and subcortical grey matter structure. We used volumetric measurements to study total grey matter, and volumes of the pallidum, amygdala, putamen, caudate nucleus, thalamus and hippocampus. Whole-brain and structural network-based methods were used to identify local differences in grey matter and vertex-based shape analysis was used to assess focal hippocampal changes. Results: Volumetric, whole-brain and network-based analyses showed reduced hippocampal (p = 0.008) and right parahippocampal region volumes (p = 0.030) in DLB compared to PD patients. Shape analysis showed atrophy in the head and body of the right (p = 0.040) and in the head of the left (p = 0.030) hippocampus of DLB patients. Conclusion: DLB patients showed atrophy of the hippocampus and parahippocampal gyrus compared to PD patients with a differential involvement of the head and body of the hippocampus. Further studies should examine if these group-based findings can be used to differentiate both disorders on an individual level.
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Affiliation(s)
- Laura J de Schipper
- Department of Neurology, Leiden University Medical Center, Leiden, The Netherlands
| | - Anne Hafkemeijer
- Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands.,Department of Methodology and Statistics, Institute of Psychology, Leiden University, Leiden, The Netherlands.,Leiden Institute for Brain and Cognition, Leiden University, Leiden, The Netherlands
| | - Jeroen van der Grond
- Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Johan Marinus
- Department of Neurology, Leiden University Medical Center, Leiden, The Netherlands
| | | | - Jacobus J van Hilten
- Department of Neurology, Leiden University Medical Center, Leiden, The Netherlands
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22
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Huang L, Chen K, Hu X, Guo Q. Differential Atrophy in the Hippocampal Subfield Volumes in Four Types of Mild Dementia. Front Neurosci 2020; 14:699. [PMID: 32742253 PMCID: PMC7364129 DOI: 10.3389/fnins.2020.00699] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2020] [Accepted: 06/09/2020] [Indexed: 01/06/2023] Open
Abstract
OBJECTIVES To investigate the bilateral hippocampal subfield volumetric differences in four types of mild dementia, namely typical Alzheimer's disease (tAD), dementia with Lewy bodies (DLB), semantic dementia (SD), and posterior cortical atrophy (PCA), to assist differential diagnosis. METHODS One hundred three participants, including 22 tAD, 34 SD (17 left SD and 17 right SD), 15 DLB, 12 PCA patients, and 20 normal controls (NC), were recruited. All subjects received standard neuropsychological assessments and magnetic resonance imaging (MRI). The hippocampal subfields were automatically segmented via Freesurfer. The study compared the volumetric differences and used the receiver operating characteristic (ROC) curves to estimate the efficacy of each hippocampal subfield to distinguish between groups. Spearman correlation analysis was used to investigate the relationship between memory recall scores and hippocampal subfield volumes. RESULTS The hippocampal subfield atrophy varied in different groups: tAD, SD, and PCA patients had subregional atrophy in bilateral hippocampi compared to NC, and DLB patients showed preserved volumes; left SD patients suffered the most severe atrophy of the left hippocampus, and right SD patients were atrophied mostly in the right hippocampus. There was no significant difference in the volume of hippocampal subregions between tAD and PCA subjects, but the former tended to be atrophied more asymmetrically. ROC analysis showed that, for discrimination, the areas under the curve (AUC) of some subfields were larger than the total hippocampus, but none observed significant difference. In addition, immediate recall scores were correlated to left CA1, CA2/3, CA4/DG, subiculum, and presubiculum (p < 0.05), and delayed recall scores were strongly related to bilateral CA2/3, CA4/DG, subiculum, and presubiculum (r = 0.38-0.52, p < 0.05). CONCLUSION Differential atrophy patterns in the bilateral hippocampal subfield volumes could serve the differential diagnosis in patients with different causes of mild dementia: left CA1 for tAD; left presubiculum for LSD; right CA4/DG, right presubiculum, and right subiculum for RSD; CA4/DG and right CA2/3 for DLB; right CA2/3 and right CA4/DG for PCA. Additionally, several hippocampal subfield volumes were significantly associated with memory scores, further highlighting the essential role of the hippocampus in memory decline.
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Affiliation(s)
- Lin Huang
- Department of Gerontology, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, Shanghai, China
| | - Keliang Chen
- Department of Neurology, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
| | - Xiaochen Hu
- Department of Psychiatry and Psychotherapy, Medical Faculty, University of Cologne, Cologne, Germany
| | - Qihao Guo
- Department of Gerontology, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, Shanghai, China
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23
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Ferman TJ, Aoki N, Boeve BF, Aakre JA, Kantarci K, Graff-Radford J, Parisi JE, Van Gerpen JA, Graff-Radford NR, Uitti RJ, Pedraza O, Murray ME, Wszolek ZK, Reichard RR, Fields JA, Ross OA, Knopman DS, Petersen RC, Dickson DW. Subtypes of dementia with Lewy bodies are associated with α-synuclein and tau distribution. Neurology 2020; 95:e155-e165. [PMID: 32561678 DOI: 10.1212/wnl.0000000000009763] [Citation(s) in RCA: 44] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2019] [Accepted: 12/17/2019] [Indexed: 01/28/2023] Open
Abstract
OBJECTIVE To determine whether Lewy body disease subgroups have different clinical profiles. METHODS Participants had dementia, autopsy-confirmed transitional or diffuse Lewy body disease (TLBD or DLBD) (n = 244), or Alzheimer disease (AD) (n = 210), and were seen at least twice (mean follow-up 6.2 ± 3.8 years). TLBD and DLBD groups were partitioned based on the presence or absence of neocortical neurofibrillary tangles using Braak staging. Four Lewy body disease subgroups and AD were compared on clinical features, dementia trajectory, and onset latency of probable dementia with Lewy bodies (DLB) or a DLB syndrome defined as probable DLB or dementia with one core feature of parkinsonism or probable REM sleep behavior disorder. RESULTS In TLBD and DLBD without neocortical tangles, diagnostic sensitivity was strong for probable DLB (87% TLBD, 96% DLBD) and the DLB syndrome (97% TLBD, 98% DLBD) with median latencies <1 year from cognitive onset, and worse baseline attention-visual processing but better memory-naming scores than AD. In DLBD with neocortical tangles, diagnostic sensitivity was 70% for probable DLB and 77% for the DLB syndrome with respective median latencies of 3.7 years and 2.7 years from cognitive onset, each associated with tangle distribution. This group had worse baseline attention-visual processing than AD, but comparable memory-naming impairment. TLBD with neocortical tangles had 48% diagnostic sensitivity for probable DLB and 52% for the DLB syndrome, with median latencies >6 years from cognitive onset, and were cognitively similar to AD. Dementia trajectory was slowest for TLBD without neocortical tangles, and fastest for DLBD with neocortical tangles. CONCLUSIONS The phenotypic expression of DLB was associated with the distribution of α-synuclein and tau pathology.
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Affiliation(s)
- Tanis J Ferman
- From the Departments of Psychiatry and Psychology (T.J.F., O.P.), Neurology (J.A.V.G., N.R.G.-R., R.J.U., Z.K.W.), and Neuroscience (M.E.M., O.A.R., D.W.D.) Mayo Clinic, Jacksonville, FL; Department of Psychiatry (N.A.), Yokohama University Medical Center, Japan; and Departments of Neurology (B.F.B., J.G.-R., D.S.K., R.C.P.), Health Sciences Research (J.A.A.), Radiology (K.K.), Laboratory Medicine and Pathology (J.E.P., R.R.R.), and Psychiatry and Psychology (J.A.F.), Mayo Clinic, Rochester, MN.
| | - Naoya Aoki
- From the Departments of Psychiatry and Psychology (T.J.F., O.P.), Neurology (J.A.V.G., N.R.G.-R., R.J.U., Z.K.W.), and Neuroscience (M.E.M., O.A.R., D.W.D.) Mayo Clinic, Jacksonville, FL; Department of Psychiatry (N.A.), Yokohama University Medical Center, Japan; and Departments of Neurology (B.F.B., J.G.-R., D.S.K., R.C.P.), Health Sciences Research (J.A.A.), Radiology (K.K.), Laboratory Medicine and Pathology (J.E.P., R.R.R.), and Psychiatry and Psychology (J.A.F.), Mayo Clinic, Rochester, MN
| | - Bradley F Boeve
- From the Departments of Psychiatry and Psychology (T.J.F., O.P.), Neurology (J.A.V.G., N.R.G.-R., R.J.U., Z.K.W.), and Neuroscience (M.E.M., O.A.R., D.W.D.) Mayo Clinic, Jacksonville, FL; Department of Psychiatry (N.A.), Yokohama University Medical Center, Japan; and Departments of Neurology (B.F.B., J.G.-R., D.S.K., R.C.P.), Health Sciences Research (J.A.A.), Radiology (K.K.), Laboratory Medicine and Pathology (J.E.P., R.R.R.), and Psychiatry and Psychology (J.A.F.), Mayo Clinic, Rochester, MN
| | - Jeremiah A Aakre
- From the Departments of Psychiatry and Psychology (T.J.F., O.P.), Neurology (J.A.V.G., N.R.G.-R., R.J.U., Z.K.W.), and Neuroscience (M.E.M., O.A.R., D.W.D.) Mayo Clinic, Jacksonville, FL; Department of Psychiatry (N.A.), Yokohama University Medical Center, Japan; and Departments of Neurology (B.F.B., J.G.-R., D.S.K., R.C.P.), Health Sciences Research (J.A.A.), Radiology (K.K.), Laboratory Medicine and Pathology (J.E.P., R.R.R.), and Psychiatry and Psychology (J.A.F.), Mayo Clinic, Rochester, MN
| | - Kejal Kantarci
- From the Departments of Psychiatry and Psychology (T.J.F., O.P.), Neurology (J.A.V.G., N.R.G.-R., R.J.U., Z.K.W.), and Neuroscience (M.E.M., O.A.R., D.W.D.) Mayo Clinic, Jacksonville, FL; Department of Psychiatry (N.A.), Yokohama University Medical Center, Japan; and Departments of Neurology (B.F.B., J.G.-R., D.S.K., R.C.P.), Health Sciences Research (J.A.A.), Radiology (K.K.), Laboratory Medicine and Pathology (J.E.P., R.R.R.), and Psychiatry and Psychology (J.A.F.), Mayo Clinic, Rochester, MN
| | - Jonathan Graff-Radford
- From the Departments of Psychiatry and Psychology (T.J.F., O.P.), Neurology (J.A.V.G., N.R.G.-R., R.J.U., Z.K.W.), and Neuroscience (M.E.M., O.A.R., D.W.D.) Mayo Clinic, Jacksonville, FL; Department of Psychiatry (N.A.), Yokohama University Medical Center, Japan; and Departments of Neurology (B.F.B., J.G.-R., D.S.K., R.C.P.), Health Sciences Research (J.A.A.), Radiology (K.K.), Laboratory Medicine and Pathology (J.E.P., R.R.R.), and Psychiatry and Psychology (J.A.F.), Mayo Clinic, Rochester, MN
| | - Joseph E Parisi
- From the Departments of Psychiatry and Psychology (T.J.F., O.P.), Neurology (J.A.V.G., N.R.G.-R., R.J.U., Z.K.W.), and Neuroscience (M.E.M., O.A.R., D.W.D.) Mayo Clinic, Jacksonville, FL; Department of Psychiatry (N.A.), Yokohama University Medical Center, Japan; and Departments of Neurology (B.F.B., J.G.-R., D.S.K., R.C.P.), Health Sciences Research (J.A.A.), Radiology (K.K.), Laboratory Medicine and Pathology (J.E.P., R.R.R.), and Psychiatry and Psychology (J.A.F.), Mayo Clinic, Rochester, MN
| | - Jay A Van Gerpen
- From the Departments of Psychiatry and Psychology (T.J.F., O.P.), Neurology (J.A.V.G., N.R.G.-R., R.J.U., Z.K.W.), and Neuroscience (M.E.M., O.A.R., D.W.D.) Mayo Clinic, Jacksonville, FL; Department of Psychiatry (N.A.), Yokohama University Medical Center, Japan; and Departments of Neurology (B.F.B., J.G.-R., D.S.K., R.C.P.), Health Sciences Research (J.A.A.), Radiology (K.K.), Laboratory Medicine and Pathology (J.E.P., R.R.R.), and Psychiatry and Psychology (J.A.F.), Mayo Clinic, Rochester, MN
| | - Neill R Graff-Radford
- From the Departments of Psychiatry and Psychology (T.J.F., O.P.), Neurology (J.A.V.G., N.R.G.-R., R.J.U., Z.K.W.), and Neuroscience (M.E.M., O.A.R., D.W.D.) Mayo Clinic, Jacksonville, FL; Department of Psychiatry (N.A.), Yokohama University Medical Center, Japan; and Departments of Neurology (B.F.B., J.G.-R., D.S.K., R.C.P.), Health Sciences Research (J.A.A.), Radiology (K.K.), Laboratory Medicine and Pathology (J.E.P., R.R.R.), and Psychiatry and Psychology (J.A.F.), Mayo Clinic, Rochester, MN
| | - Ryan J Uitti
- From the Departments of Psychiatry and Psychology (T.J.F., O.P.), Neurology (J.A.V.G., N.R.G.-R., R.J.U., Z.K.W.), and Neuroscience (M.E.M., O.A.R., D.W.D.) Mayo Clinic, Jacksonville, FL; Department of Psychiatry (N.A.), Yokohama University Medical Center, Japan; and Departments of Neurology (B.F.B., J.G.-R., D.S.K., R.C.P.), Health Sciences Research (J.A.A.), Radiology (K.K.), Laboratory Medicine and Pathology (J.E.P., R.R.R.), and Psychiatry and Psychology (J.A.F.), Mayo Clinic, Rochester, MN
| | - Otto Pedraza
- From the Departments of Psychiatry and Psychology (T.J.F., O.P.), Neurology (J.A.V.G., N.R.G.-R., R.J.U., Z.K.W.), and Neuroscience (M.E.M., O.A.R., D.W.D.) Mayo Clinic, Jacksonville, FL; Department of Psychiatry (N.A.), Yokohama University Medical Center, Japan; and Departments of Neurology (B.F.B., J.G.-R., D.S.K., R.C.P.), Health Sciences Research (J.A.A.), Radiology (K.K.), Laboratory Medicine and Pathology (J.E.P., R.R.R.), and Psychiatry and Psychology (J.A.F.), Mayo Clinic, Rochester, MN
| | - Melissa E Murray
- From the Departments of Psychiatry and Psychology (T.J.F., O.P.), Neurology (J.A.V.G., N.R.G.-R., R.J.U., Z.K.W.), and Neuroscience (M.E.M., O.A.R., D.W.D.) Mayo Clinic, Jacksonville, FL; Department of Psychiatry (N.A.), Yokohama University Medical Center, Japan; and Departments of Neurology (B.F.B., J.G.-R., D.S.K., R.C.P.), Health Sciences Research (J.A.A.), Radiology (K.K.), Laboratory Medicine and Pathology (J.E.P., R.R.R.), and Psychiatry and Psychology (J.A.F.), Mayo Clinic, Rochester, MN
| | - Zbigniew K Wszolek
- From the Departments of Psychiatry and Psychology (T.J.F., O.P.), Neurology (J.A.V.G., N.R.G.-R., R.J.U., Z.K.W.), and Neuroscience (M.E.M., O.A.R., D.W.D.) Mayo Clinic, Jacksonville, FL; Department of Psychiatry (N.A.), Yokohama University Medical Center, Japan; and Departments of Neurology (B.F.B., J.G.-R., D.S.K., R.C.P.), Health Sciences Research (J.A.A.), Radiology (K.K.), Laboratory Medicine and Pathology (J.E.P., R.R.R.), and Psychiatry and Psychology (J.A.F.), Mayo Clinic, Rochester, MN
| | - R Ross Reichard
- From the Departments of Psychiatry and Psychology (T.J.F., O.P.), Neurology (J.A.V.G., N.R.G.-R., R.J.U., Z.K.W.), and Neuroscience (M.E.M., O.A.R., D.W.D.) Mayo Clinic, Jacksonville, FL; Department of Psychiatry (N.A.), Yokohama University Medical Center, Japan; and Departments of Neurology (B.F.B., J.G.-R., D.S.K., R.C.P.), Health Sciences Research (J.A.A.), Radiology (K.K.), Laboratory Medicine and Pathology (J.E.P., R.R.R.), and Psychiatry and Psychology (J.A.F.), Mayo Clinic, Rochester, MN
| | - Julie A Fields
- From the Departments of Psychiatry and Psychology (T.J.F., O.P.), Neurology (J.A.V.G., N.R.G.-R., R.J.U., Z.K.W.), and Neuroscience (M.E.M., O.A.R., D.W.D.) Mayo Clinic, Jacksonville, FL; Department of Psychiatry (N.A.), Yokohama University Medical Center, Japan; and Departments of Neurology (B.F.B., J.G.-R., D.S.K., R.C.P.), Health Sciences Research (J.A.A.), Radiology (K.K.), Laboratory Medicine and Pathology (J.E.P., R.R.R.), and Psychiatry and Psychology (J.A.F.), Mayo Clinic, Rochester, MN
| | - Owen A Ross
- From the Departments of Psychiatry and Psychology (T.J.F., O.P.), Neurology (J.A.V.G., N.R.G.-R., R.J.U., Z.K.W.), and Neuroscience (M.E.M., O.A.R., D.W.D.) Mayo Clinic, Jacksonville, FL; Department of Psychiatry (N.A.), Yokohama University Medical Center, Japan; and Departments of Neurology (B.F.B., J.G.-R., D.S.K., R.C.P.), Health Sciences Research (J.A.A.), Radiology (K.K.), Laboratory Medicine and Pathology (J.E.P., R.R.R.), and Psychiatry and Psychology (J.A.F.), Mayo Clinic, Rochester, MN
| | - David S Knopman
- From the Departments of Psychiatry and Psychology (T.J.F., O.P.), Neurology (J.A.V.G., N.R.G.-R., R.J.U., Z.K.W.), and Neuroscience (M.E.M., O.A.R., D.W.D.) Mayo Clinic, Jacksonville, FL; Department of Psychiatry (N.A.), Yokohama University Medical Center, Japan; and Departments of Neurology (B.F.B., J.G.-R., D.S.K., R.C.P.), Health Sciences Research (J.A.A.), Radiology (K.K.), Laboratory Medicine and Pathology (J.E.P., R.R.R.), and Psychiatry and Psychology (J.A.F.), Mayo Clinic, Rochester, MN
| | - Ronald C Petersen
- From the Departments of Psychiatry and Psychology (T.J.F., O.P.), Neurology (J.A.V.G., N.R.G.-R., R.J.U., Z.K.W.), and Neuroscience (M.E.M., O.A.R., D.W.D.) Mayo Clinic, Jacksonville, FL; Department of Psychiatry (N.A.), Yokohama University Medical Center, Japan; and Departments of Neurology (B.F.B., J.G.-R., D.S.K., R.C.P.), Health Sciences Research (J.A.A.), Radiology (K.K.), Laboratory Medicine and Pathology (J.E.P., R.R.R.), and Psychiatry and Psychology (J.A.F.), Mayo Clinic, Rochester, MN
| | - Dennis W Dickson
- From the Departments of Psychiatry and Psychology (T.J.F., O.P.), Neurology (J.A.V.G., N.R.G.-R., R.J.U., Z.K.W.), and Neuroscience (M.E.M., O.A.R., D.W.D.) Mayo Clinic, Jacksonville, FL; Department of Psychiatry (N.A.), Yokohama University Medical Center, Japan; and Departments of Neurology (B.F.B., J.G.-R., D.S.K., R.C.P.), Health Sciences Research (J.A.A.), Radiology (K.K.), Laboratory Medicine and Pathology (J.E.P., R.R.R.), and Psychiatry and Psychology (J.A.F.), Mayo Clinic, Rochester, MN
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Novel Alzheimer's disease subtypes identified using a data and knowledge driven strategy. Sci Rep 2020; 10:1327. [PMID: 31992745 PMCID: PMC6987140 DOI: 10.1038/s41598-020-57785-2] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2019] [Accepted: 12/16/2019] [Indexed: 01/08/2023] Open
Abstract
The population of adults with Alzheimer’s disease (AD) varies in needs and outcomes. The heterogeneity of current AD diagnostic subgroups impedes the use of data analytics in clinical trial design and translation of findings into improved care. The purpose of this project was to define more clinically-homogeneous groups of AD patients and link clinical characteristics with biological markers. We used an innovative big data analysis strategy, the 3C strategy, that incorporates medical knowledge into the data analysis process. A large set of preprocessed AD Neuroimaging Initiative (ADNI) data was analyzed with 3C. The data analysis yielded 6 new disease subtypes, which differ from the assigned diagnosis types and present different patterns of clinical measures and potential biomarkers. Two of the subtypes, “Anosognosia dementia” and “Insightful dementia”, differentiate between severe participants based on clinical characteristics and biomarkers. The “Uncompensated mild cognitive impairment (MCI)” subtype, demonstrates clinical, demographic and imaging differences from the “Affective MCI” subtype. Differences were also observed between the “Worried Well” and “Healthy” clusters. The use of data-driven analysis yielded sub-phenotypic clinical clusters that go beyond current diagnoses and are associated with biomarkers. Such homogenous sub-groups can potentially form the basis for enhancement of brain medicine research.
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25
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Yu L, Boyle PA, Dawe RJ, Bennett DA, Arfanakis K, Schneider JA. Contribution of TDP and hippocampal sclerosis to hippocampal volume loss in older-old persons. Neurology 2019; 94:e142-e152. [PMID: 31757868 DOI: 10.1212/wnl.0000000000008679] [Citation(s) in RCA: 35] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2019] [Accepted: 07/10/2019] [Indexed: 12/14/2022] Open
Abstract
OBJECTIVE To investigate the contribution of Alzheimer disease (AD) vs non-AD neuropathologies to hippocampal atrophy. METHODS The Religious Orders Study and Rush Memory and Aging Project are clinicopathologic cohort studies of aging. The current study included 547 participants who had undergone brain autopsy and postmortem hippocampal volume measurement by November 1, 2018. Hippocampal volume was measured with postmortem MRI via a 3D region of interest applied to the hippocampal formation. Neuropathologies were measured via uniform structured evaluations. Linear regression analyses estimated the proportion of variance of hippocampal volume attributable to AD and non-AD neuropathologies. RESULTS The average age at death was 90 years, and the average hippocampal volume was 2.1 mL. AD, transactive response DNA-binding protein 43 (TDP), hippocampal sclerosis (HS), and atherosclerosis were associated with hippocampal volume. After demographics and total hemisphere volume were controlled for, 7.0% of the variance (95% bootstrapped confidence interval [CI] 4.3%-10.5%) of hippocampal volume was attributable to AD pathology. TDP/HS explained an additional 4.5% (95% CI 2.2%-7.6%). Among individuals with Alzheimer dementia (n = 232), 3.1% (95% CI 0.6%-7.7%) of the variance was attributable to AD pathology, and TDP/HS explained an additional 6.1% (95% CI 2.2%-11.6%). Among those without Alzheimer dementia (n = 307), 3.2% (95% CI 0.9%-7.3%) of the variance was attributable to AD pathology, and TDP/HS explained an additional 1.1%, which did not reach statistical significance. Lewy bodies and vascular diseases had modest contribution to the variance of hippocampal volume. CONCLUSIONS Both AD and TDP/HS contribute to hippocampal volume loss in older-old persons, with TDP/HS more strongly associated with hippocampal volume than AD in Alzheimer dementia.
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Affiliation(s)
- Lei Yu
- From the Rush Alzheimer's Disease Center (L.Y., P.A.B., R.J.D., D.A.B., K.A., J.A.S.), Department of Neurological Sciences (L.Y., D.A.B., J.A.S.), Department of Behavioral Sciences (P.A.B.), Department of Diagnostic Radiology and Nuclear Medicine (R.J.D., K.A.), and Department of Pathology (J.A.S.), Rush University Medical Center; and Department of Biomedical Engineering (K.A.), Illinois Institute of Technology, Chicago.
| | - Patricia A Boyle
- From the Rush Alzheimer's Disease Center (L.Y., P.A.B., R.J.D., D.A.B., K.A., J.A.S.), Department of Neurological Sciences (L.Y., D.A.B., J.A.S.), Department of Behavioral Sciences (P.A.B.), Department of Diagnostic Radiology and Nuclear Medicine (R.J.D., K.A.), and Department of Pathology (J.A.S.), Rush University Medical Center; and Department of Biomedical Engineering (K.A.), Illinois Institute of Technology, Chicago
| | - Robert J Dawe
- From the Rush Alzheimer's Disease Center (L.Y., P.A.B., R.J.D., D.A.B., K.A., J.A.S.), Department of Neurological Sciences (L.Y., D.A.B., J.A.S.), Department of Behavioral Sciences (P.A.B.), Department of Diagnostic Radiology and Nuclear Medicine (R.J.D., K.A.), and Department of Pathology (J.A.S.), Rush University Medical Center; and Department of Biomedical Engineering (K.A.), Illinois Institute of Technology, Chicago
| | - David A Bennett
- From the Rush Alzheimer's Disease Center (L.Y., P.A.B., R.J.D., D.A.B., K.A., J.A.S.), Department of Neurological Sciences (L.Y., D.A.B., J.A.S.), Department of Behavioral Sciences (P.A.B.), Department of Diagnostic Radiology and Nuclear Medicine (R.J.D., K.A.), and Department of Pathology (J.A.S.), Rush University Medical Center; and Department of Biomedical Engineering (K.A.), Illinois Institute of Technology, Chicago
| | - Konstantinos Arfanakis
- From the Rush Alzheimer's Disease Center (L.Y., P.A.B., R.J.D., D.A.B., K.A., J.A.S.), Department of Neurological Sciences (L.Y., D.A.B., J.A.S.), Department of Behavioral Sciences (P.A.B.), Department of Diagnostic Radiology and Nuclear Medicine (R.J.D., K.A.), and Department of Pathology (J.A.S.), Rush University Medical Center; and Department of Biomedical Engineering (K.A.), Illinois Institute of Technology, Chicago
| | - Julie A Schneider
- From the Rush Alzheimer's Disease Center (L.Y., P.A.B., R.J.D., D.A.B., K.A., J.A.S.), Department of Neurological Sciences (L.Y., D.A.B., J.A.S.), Department of Behavioral Sciences (P.A.B.), Department of Diagnostic Radiology and Nuclear Medicine (R.J.D., K.A.), and Department of Pathology (J.A.S.), Rush University Medical Center; and Department of Biomedical Engineering (K.A.), Illinois Institute of Technology, Chicago
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26
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Salami A, Rieckmann A, Karalija N, Avelar-Pereira B, Andersson M, Wåhlin A, Papenberg G, Garrett DD, Riklund K, Lövdén M, Lindenberger U, Bäckman L, Nyberg L. Neurocognitive Profiles of Older Adults with Working-Memory Dysfunction. Cereb Cortex 2019; 28:2525-2539. [PMID: 29901790 PMCID: PMC5998950 DOI: 10.1093/cercor/bhy062] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2017] [Accepted: 02/23/2018] [Indexed: 01/21/2023] Open
Abstract
Individuals differ in how they perceive, remember, and think. There is evidence for the existence of distinct subgroups that differ in cognitive performance within the older population. However, it is less clear how individual differences in cognition in old age are linked to differences in brain-based measures. We used latent-profile analysis on n-back working-memory (WM) performance to identify subgroups in a large sample of older adults (n = 181; age = 64–68 years). Our analysis identified one larger normal subgroup with higher performance (n = 113; 63%), and a second smaller subgroup (n = 55; 31%) with lower performance. The low-performing subgroup showed weaker load-dependent BOLD modulation and lower connectivity within the fronto-parietal network (FPN) as well as between FPN and striatum during n-back, along with lower FPN connectivity at rest. This group also exhibited lower FPN structural integrity, lower frontal dopamine D2 binding potential, inferior performance on offline WM tests, and a trend-level genetic predisposition for lower dopamine-system efficiency. By contrast, this group exhibited relatively intact episodic memory and associated brain measures (i.e., hippocampal volume, structural, and functional connectivity within the default-mode network). Collectively, these data provide converging evidence for the existence of a group of older adults with impaired WM functioning characterized by reduced cortico-striatal coupling and aberrant cortico-cortical integrity within FPN.
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Affiliation(s)
- Alireza Salami
- Aging Research Center, Karolinska Institutet and Stockholm University, Stockholm, Sweden.,Umeå Center for Functional Brain Imaging (UFBI), Umeå University, Umeå, Sweden
| | - Anna Rieckmann
- Umeå Center for Functional Brain Imaging (UFBI), Umeå University, Umeå, Sweden.,Department of Radiation Sciences, Umeå University, Umeå, Sweden
| | - Nina Karalija
- Umeå Center for Functional Brain Imaging (UFBI), Umeå University, Umeå, Sweden.,Department of Radiation Sciences, Umeå University, Umeå, Sweden
| | - Bárbara Avelar-Pereira
- Aging Research Center, Karolinska Institutet and Stockholm University, Stockholm, Sweden.,Umeå Center for Functional Brain Imaging (UFBI), Umeå University, Umeå, Sweden
| | - Micael Andersson
- Department of Radiation Sciences, Umeå University, Umeå, Sweden.,Department of Integrative Medical Biology, Umeå University, Umeå, Sweden
| | - Anders Wåhlin
- Umeå Center for Functional Brain Imaging (UFBI), Umeå University, Umeå, Sweden
| | - Goran Papenberg
- Aging Research Center, Karolinska Institutet and Stockholm University, Stockholm, Sweden
| | - Douglas D Garrett
- Center for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, Germany
| | - Katrine Riklund
- Umeå Center for Functional Brain Imaging (UFBI), Umeå University, Umeå, Sweden.,Department of Radiation Sciences, Umeå University, Umeå, Sweden
| | - Martin Lövdén
- Aging Research Center, Karolinska Institutet and Stockholm University, Stockholm, Sweden
| | - Ulman Lindenberger
- Center for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, Germany
| | - Lars Bäckman
- Aging Research Center, Karolinska Institutet and Stockholm University, Stockholm, Sweden
| | - Lars Nyberg
- Umeå Center for Functional Brain Imaging (UFBI), Umeå University, Umeå, Sweden.,Department of Radiation Sciences, Umeå University, Umeå, Sweden.,Department of Integrative Medical Biology, Umeå University, Umeå, Sweden
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Zahr NM, Pohl KM, Saranathan M, Sullivan EV, Pfefferbaum A. Hippocampal subfield CA2+3 exhibits accelerated aging in Alcohol Use Disorder: A preliminary study. NEUROIMAGE-CLINICAL 2019; 22:101764. [PMID: 30904825 PMCID: PMC6434095 DOI: 10.1016/j.nicl.2019.101764] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/13/2018] [Revised: 12/21/2018] [Accepted: 03/10/2019] [Indexed: 12/31/2022]
Abstract
The profile of brain structural dysmorphology of individuals with Alcohol Use Disorders (AUD) involves disruption of the limbic system. In vivo imaging studies report hippocampal volume loss in AUD relative to controls, but only recently has it been possible to articulate different regions of this complex structure. Volumetric analysis of hippocampal regions rather than total hippocampal volume may augment differentiation of disease processes. For example, damage to hippocampal subfield cornu ammonis 1 (CA1) is often reported in Alzheimer's disease (AD), whereas deficits in CA4/dentate gyrus are described in response to stress and trauma. Two previous studies explored the effects of chronic alcohol use on hippocampal subfields: one reported smaller volume of the CA2+3 in alcohol-dependent subjects relative to controls, associated with years of alcohol consumption; the other, smaller volumes of presubiculum, subiculum, and fimbria in alcohol-dependent relative to control men. The current study, conducted in 24 adults with DSM5-diagnosed AUD (7 women, 53.7 ± 8.8) and 20 controls (7 women, 54.1 ± 9.3), is the first to use FreeSurfer 6.0, which provides state-of-the art hippocampal parcellation, to explore the sensitivity of hippocampal sufields to alcoholism. T1- and T2- images were collected on a GE MR750 system with a 32-channel Nova head coil. FreeSurfer 6.0 hippocampal subfield analysis produced 12 subfields: parasubiculum; presubiculum; subiculum; CA1; CA2+3; CA4; GC-ML-DG (Granule Cell (GC) and Molecular Layer (ML) of the Dentate Gyrus (DG)); molecular layer; hippocampus-amygdala-transition-area (HATA); fimbria; hippocampal tail; hippocampal fissure; and whole volume for left and right hippocampi. A comprehensive battery of neuropsychological tests comprising attention, memory and learning, visuospatial abilities, and executive functions was administered. Multiple regression analyses of raw volumetric data for each subfields by group, age, sex, hemisphere, and supratentorial volume (svol) showed significant effects of svol (p < .04) on nearly all structures (excluding tail and fissure). Volumes corrected for svol showed effects of age (fimbria, fissure) and group (subiculum, CA1, CA4, GC-ML-DG, HATA, fimbria); CA2+3 showed a diagnosis-by-age interaction indicating older AUD individuals had a smaller volume than would be expected for their age. There were no selective relations between hippocampal subfields and performance on neuropsychological tests, likely due to lack of statistical power. The current results concur with the previous study identifying CA2+3 as sensitive to alcoholism, extend them by identifying an alcoholism-age interaction, and suggest an imaging phenotype distinguishing AUD from AD and stress/trauma. Whether alcohol use disorders (AUD) compromise hippocampal volume is disputed. A 32-channel head coil acquired high-resolution images. The hippocampus was segmented using FreeSurfer 6.0. Several subregions showed volume deficits in AUD relative to healthy controls. Cornu Ammonis 2+3 showed a alcoholism-by-age interaction.
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Affiliation(s)
- Natalie M Zahr
- Neuroscience Program, SRI International, 333 Ravenswood Ave., Menlo Park, CA 94025, USA; Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, 401 Quarry Rd., Stanford, CA 94305, USA.
| | - Kilian M Pohl
- Neuroscience Program, SRI International, 333 Ravenswood Ave., Menlo Park, CA 94025, USA
| | - Manojkumar Saranathan
- Department of Medical Imaging, University of Arizona College of Medicine, 1501 N. Campbell Ave., Tucson, AZ 85724, USA
| | - Edith V Sullivan
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, 401 Quarry Rd., Stanford, CA 94305, USA
| | - Adolf Pfefferbaum
- Neuroscience Program, SRI International, 333 Ravenswood Ave., Menlo Park, CA 94025, USA; Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, 401 Quarry Rd., Stanford, CA 94305, USA
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28
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Hanko V, Apple AC, Alpert KI, Warren KN, Schneider JA, Arfanakis K, Bennett DA, Wang L. In vivo hippocampal subfield shape related to TDP-43, amyloid beta, and tau pathologies. Neurobiol Aging 2019; 74:171-181. [PMID: 30453234 PMCID: PMC6331233 DOI: 10.1016/j.neurobiolaging.2018.10.013] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2017] [Revised: 09/14/2018] [Accepted: 10/10/2018] [Indexed: 12/31/2022]
Abstract
Despite advances in the development of biomarkers for Alzheimer's disease (AD), accurate ante-mortem diagnosis remains challenging because a variety of neuropathologic disease states can coexist and contribute to the AD dementia syndrome. Here, we report a neuroimaging study correlating hippocampal deformity with regional AD and transactive response DNA-binding protein of 43 kDA pathology burden. We used hippocampal shape analysis of ante-mortem T1-weighted structural magnetic resonance imaging images of 42 participants from two longitudinal cohort studies conducted by the Rush Alzheimer's Disease Center. Surfaces were generated for the whole hippocampus and zones approximating the underlying subfields using a previously developed automated image-segmentation pipeline. Multiple linear regression models were constructed to correlate the shape with pathology measures while accounting for covariates, with relationships mapped out onto hippocampal surface locations. A significant relationship existed between higher paired helical filaments-tau burden and inward hippocampal shape deformity in zones approximating CA1 and subiculum which persisted after accounting for coexisting pathologies. No significant patterns of inward surface deformity were associated with amyloid-beta or transactive response DNA-binding protein of 43 kDA after including covariates. Our findings indicate that hippocampal shape deformity measures in surface zones approximating CA1 may represent a biomarker for postmortem AD pathology.
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Affiliation(s)
- Veronika Hanko
- Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Alexandra C Apple
- Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Kathryn I Alpert
- Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Kristen N Warren
- Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Julie A Schneider
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA
| | - Konstantinos Arfanakis
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA; Department of Biomedical Engineering, Illinois Institute of Technology, Chicago, IL, USA
| | - David A Bennett
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA
| | - Lei Wang
- Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, USA; Department of Radiology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
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30
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Balážová Z, Nováková M, Minsterová A, Rektorová I. Structural and Functional Magnetic Resonance Imaging of Dementia With Lewy Bodies. INTERNATIONAL REVIEW OF NEUROBIOLOGY 2018; 144:95-141. [PMID: 30638458 DOI: 10.1016/bs.irn.2018.10.005] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Dementia with Lewy bodies (DLB) is the second most common cause of neurodegenerative dementia after Alzheimer's disease (AD). Although diagnosis may be challenging, there is increasing evidence that the use of biomarkers according to 2017 revised criteria for diagnosis and management of dementia with Lewy bodies can increase diagnostic accuracy. Apart from nuclear medicine techniques, various magnetic resonance imaging (MRI) techniques have been utilized in attempt to enhance diagnostic accuracy. This chapter reviews structural, functional and diffusion MRI studies in DLB cohorts being compared to healthy controls, AD or dementia in Parkinson's disease (PDD). We also included relatively new MRI methods that may have potential to identify early DLB subjects and aim at examining brain iron and neuromelanin.
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Affiliation(s)
- Zuzana Balážová
- Applied Neuroscience Research Group, Central European Institute of Technology, CEITEC MU, Masaryk University, Brno, Czech Republic; Department of Radiology and Nuclear Medicine, University Hospital Brno, Faculty of Medicine, Brno, Czech Republic
| | - Marie Nováková
- Applied Neuroscience Research Group, Central European Institute of Technology, CEITEC MU, Masaryk University, Brno, Czech Republic
| | - Alžběta Minsterová
- Applied Neuroscience Research Group, Central European Institute of Technology, CEITEC MU, Masaryk University, Brno, Czech Republic
| | - Irena Rektorová
- Applied Neuroscience Research Group, Central European Institute of Technology, CEITEC MU, Masaryk University, Brno, Czech Republic; St. Anne's University Hospital and Faculty of Medicine, Masaryk University, Brno, Czech Republic.
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31
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Zheng F, Cui D, Zhang L, Zhang S, Zhao Y, Liu X, Liu C, Li Z, Zhang D, Shi L, Liu Z, Hou K, Lu W, Yin T, Qiu J. The Volume of Hippocampal Subfields in Relation to Decline of Memory Recall Across the Adult Lifespan. Front Aging Neurosci 2018; 10:320. [PMID: 30364081 PMCID: PMC6191512 DOI: 10.3389/fnagi.2018.00320] [Citation(s) in RCA: 55] [Impact Index Per Article: 9.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2018] [Accepted: 09/24/2018] [Indexed: 12/27/2022] Open
Abstract
Background: The hippocampus is an important limbic structure closely related to memory function. However, few studies have focused on the association between hippocampal subfields and age-related memory decline. We investigated the volume alterations of hippocampal subfields at different ages and assessed the correlations with Immediate and Delayed recall abilities. Materials and Methods: A total of 275 participants aged 20-89 years were classified into 4 groups: Young, 20-35 years; Middle-early, 36-50 years; Middle-late, 51-65 years; Old, 66-89 years. All data were acquired from the Dallas Lifespan Brain Study (DLBS). The volumes of hippocampal subfields were obtained using Freesurfer software. Analysis of covariance (ANCOVA) was performed to analyze alterations of subfield volumes among the 4 groups, and multiple comparisons between groups were performed using the Bonferroni method. Spearman correlation with false discovery rate correction was used to investigate the relationship between memory recall scores and hippocampal subfield volumes. Results: Apart from no significant difference in the left parasubiculum (P = 0.269) and a slight difference in the right parasubiculum (P = 0.022), the volumes of other hippocampal subfields were significantly different across the adult lifespan (P < 0.001). The hippocampal fissure volume was increased in the Old group, while volumes for other subfields decreased. In addition, Immediate recall scores were associated with volumes of the bilateral molecular layer, granule cell layer of the dentate gyrus (GC-DG), cornus ammonis (CA) 1, CA2/3, CA4, left fimbria and hippocampal amygdala transition area (HATA), and right fissure (P < 0.05). Delayed recall scores were associated with the bilateral molecular layer, GC-DG, CA2/3 and CA4; left tail, presubiculum, CA1, subiculum, fimbria and HATA (P < 0.05). Conclusion: The parasubiculum volume was not significantly different across the adult lifespan, while atrophy in dementia patients in some studies. Based on these findings, we speculate that volume changes in this region might be considered as a biomarker for dementia disorders. Additionally, several hippocampal subfield volumes were significantly associated with memory scores, further highlighting the key role of the hippocampus in age-related memory decline. These regions could be used to assess the risk of memory decline across the adult lifespan.
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Affiliation(s)
- Fenglian Zheng
- Medical Engineering and Technology Research Center, Taishan Medical University, Taian, China
- Imaging-X Joint Laboratory, Taian, China
- College of Radiology, Taishan Medical University, Taian, China
| | - Dong Cui
- College of Radiology, Taishan Medical University, Taian, China
- Institute of Biomedical Engineering, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin, China
| | - Li Zhang
- Medical Engineering and Technology Research Center, Taishan Medical University, Taian, China
- Imaging-X Joint Laboratory, Taian, China
- College of Radiology, Taishan Medical University, Taian, China
| | - Shitong Zhang
- Medical Engineering and Technology Research Center, Taishan Medical University, Taian, China
- Imaging-X Joint Laboratory, Taian, China
- College of Radiology, Taishan Medical University, Taian, China
- College of Mechanical and Electronic Engineering, Shandong University of Science and Technology, Qingdao, China
| | - Yue Zhao
- Medical Engineering and Technology Research Center, Taishan Medical University, Taian, China
- Imaging-X Joint Laboratory, Taian, China
- College of Radiology, Taishan Medical University, Taian, China
- College of Mechanical and Electronic Engineering, Shandong University of Science and Technology, Qingdao, China
| | - Xiaojing Liu
- Medical Engineering and Technology Research Center, Taishan Medical University, Taian, China
- Imaging-X Joint Laboratory, Taian, China
- College of Radiology, Taishan Medical University, Taian, China
| | - Chunhua Liu
- School of Basic Medical Sciences, Taishan Medical University, Taian, China
| | - Zhengmei Li
- Medical Engineering and Technology Research Center, Taishan Medical University, Taian, China
- Imaging-X Joint Laboratory, Taian, China
- College of Radiology, Taishan Medical University, Taian, China
| | - Dongsheng Zhang
- Medical Engineering and Technology Research Center, Taishan Medical University, Taian, China
- Imaging-X Joint Laboratory, Taian, China
- College of Radiology, Taishan Medical University, Taian, China
| | - Liting Shi
- Medical Engineering and Technology Research Center, Taishan Medical University, Taian, China
- Imaging-X Joint Laboratory, Taian, China
- College of Radiology, Taishan Medical University, Taian, China
| | - Zhipeng Liu
- Institute of Biomedical Engineering, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin, China
| | - Kun Hou
- Medical Engineering and Technology Research Center, Taishan Medical University, Taian, China
- Imaging-X Joint Laboratory, Taian, China
- College of Radiology, Taishan Medical University, Taian, China
| | - Wen Lu
- Medical Engineering and Technology Research Center, Taishan Medical University, Taian, China
- Imaging-X Joint Laboratory, Taian, China
- College of Radiology, Taishan Medical University, Taian, China
| | - Tao Yin
- Institute of Biomedical Engineering, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin, China
| | - Jianfeng Qiu
- Medical Engineering and Technology Research Center, Taishan Medical University, Taian, China
- Imaging-X Joint Laboratory, Taian, China
- College of Radiology, Taishan Medical University, Taian, China
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Mak E, Donaghy PC, McKiernan E, Firbank MJ, Lloyd J, Petrides GS, Thomas AJ, O'Brien JT. Beta amyloid deposition maps onto hippocampal and subiculum atrophy in dementia with Lewy bodies. Neurobiol Aging 2018; 73:74-81. [PMID: 30339962 DOI: 10.1016/j.neurobiolaging.2018.09.004] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2018] [Revised: 09/05/2018] [Accepted: 09/06/2018] [Indexed: 10/28/2022]
Abstract
Although dementia with Lewy bodies (DLB) is a synucleinopathy, it is frequently accompanied by beta amyloid (Aβ) accumulation. Elucidating the relationships of Aβ with gray matter atrophy in DLB may yield insights regarding the contributions of comorbid Alzheimer's disease to its disease progression. Twenty healthy controls and 25 DLB subjects underwent clinical assessment, [18F]-Florbetapir, and 3T magnetic resonance imaging. FreeSurfer was used to estimate cortical thickness and subcortical volumes, and PetSurfer was used to quantify [18F]-Florbetapir standardized uptake value ratio. Principal component analysis was used to identify the dominant Aβ component for correlations with regional cortical thickness, hippocampal subfields, and subcortical structures. Relative to healthy controls, the DLB group demonstrated increased Aβ in widespread regions encompassing the frontal and temporoparietal cortices, whereas cortical thinning was restricted to the temporal lobe. Among DLB subjects, the Aβ component was significantly associated with more severe hippocampal and subiculum atrophy. These findings may reflect an early process of superimposed AD-like atrophy in DLB, thereby conferring support for the therapeutic potential of anti-Aβ interventions in people with DLB.
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Affiliation(s)
- Elijah Mak
- Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - Paul C Donaghy
- Institute for Ageing and Institute of Neuroscience, Newcastle University, Newcastle upon Tyne, UK
| | | | - Michael J Firbank
- Institute for Ageing and Institute of Neuroscience, Newcastle University, Newcastle upon Tyne, UK
| | - Jim Lloyd
- Nuclear Medicine Department, Newcastle Upon Tyne Hospitals, NHS Foundation Trust, Newcastle upon Tyne, UK
| | - George S Petrides
- Nuclear Medicine Department, Newcastle Upon Tyne Hospitals, NHS Foundation Trust, Newcastle upon Tyne, UK
| | - Alan J Thomas
- Institute for Ageing and Institute of Neuroscience, Newcastle University, Newcastle upon Tyne, UK
| | - John T O'Brien
- Department of Psychiatry, University of Cambridge, Cambridge, UK.
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Lim PH, Wert SL, Tunc-Ozcan E, Marr R, Ferreira A, Redei EE. Premature hippocampus-dependent memory decline in middle-aged females of a genetic rat model of depression. Behav Brain Res 2018; 353:242-249. [PMID: 29490235 DOI: 10.1016/j.bbr.2018.02.030] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2017] [Revised: 02/01/2018] [Accepted: 02/21/2018] [Indexed: 01/08/2023]
Abstract
Aging and major depressive disorder are risk factors for dementia, including Alzheimer's Disease (AD), but the mechanism(s) linking depression and dementia are not known. Both AD and depression show greater prevalence in women. We began to investigate this connection using females of the genetic model of depression, the inbred Wistar Kyoto More Immobile (WMI) rat. These rats consistently display depression-like behavior compared to the genetically close control, the Wistar Kyoto Less Immobile (WLI) strain. Hippocampus-dependent contextual fear memory did not differ between young WLI and WMI females, but, by middle-age, female WMIs showed memory deficits compared to same age WLIs. This deficit, measured as duration of freezing in the fear provoking-context was not related to activity differences between the strains prior to fear conditioning. Hippocampal expression of AD-related genes, such as amyloid precursor protein, amyloid beta 42, beta secretase, synucleins, total and dephosphorylated tau, and synaptophysin, did not differ between WLIs and WMIs in either age group. However, hippocampal transcript levels of catalase (Cat) and hippocampal and frontal cortex expression of insulin-like growth factor 2 (Igf2) and Igf2 receptor (Igf2r) paralleled fear memory differences between middle-aged WLIs and WMIs. This data suggests that chronic depression-like behavior that is present in this genetic model is a risk factor for early spatial memory decline in females. The molecular mechanisms of this early memory decline likely involve the interaction of aging processes with the genetic components responsible for the depression-like behavior in this model.
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Affiliation(s)
- Patrick H Lim
- Department of Psychiatry and Behavioral Sciences, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, United States
| | - Stephanie L Wert
- Department of Psychiatry and Behavioral Sciences, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, United States
| | - Elif Tunc-Ozcan
- Department of Psychiatry and Behavioral Sciences, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, United States
| | - Robert Marr
- Department of Neuroscience, Chicago Medical School, Rosalind Franklin University of Medicine and Science, North Chicago, IL 60064, United States
| | - Adriana Ferreira
- Department of Cellular and Molecular Biology, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, United States
| | - Eva E Redei
- Department of Psychiatry and Behavioral Sciences, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, United States.
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Kurth F, Cherbuin N, Luders E. The impact of aging on subregions of the hippocampal complex in healthy adults. Neuroimage 2017; 163:296-300. [DOI: 10.1016/j.neuroimage.2017.09.016] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2017] [Revised: 08/08/2017] [Accepted: 09/08/2017] [Indexed: 12/22/2022] Open
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Pathology and hippocampal atrophy in Alzheimer's disease. Lancet Neurol 2017; 16:862-864. [DOI: 10.1016/s1474-4422(17)30343-5] [Citation(s) in RCA: 54] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2017] [Accepted: 09/20/2017] [Indexed: 11/20/2022]
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Nagahama Y, Okina T, Suzuki N. Neuropsychological Differences Related to Age in Dementia with Lewy Bodies. Dement Geriatr Cogn Dis Extra 2017; 7:188-194. [PMID: 28690632 PMCID: PMC5498935 DOI: 10.1159/000477296] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2017] [Accepted: 04/30/2017] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND/AIMS To examine the influence of age on neuropsychological performances in dementia with Lewy bodies (DLB) and Alzheimer disease (AD) patients. METHODS We examined memory, executive, and visuo-constructional performances in 202 DLB patients and 236 AD patients. We divided the subjects into three age groups (65-74, 75-84, and 85-95 years old), and evaluated the differences in neuropsychological performances. RESULTS Recent memory in the DLB group was significantly better than that in the age-matched AD group when comparing the age groups 65-74 years and 75-84 years; however, memory impairment in the DLB patients in the age group 85-95 years was comparable with that in the age-matched AD patients. In contrast to recent memory, the other assessed neuropsychological performances, such as visuospatial and executive functions, showed no significant change in differences between the DLB and AD groups with advancing age. CONCLUSION Our study revealed that the nature of memory impairment in DLB patients changes according to age. DLB patients in the young-old and old-old age groups showed significantly better memory performance than the age-matched AD patients, whereas memory performance of the DLB patients in the oldest-old age group was similar to that of the age-matched AD patients. This may be associated with the increased rate of coexisting AD pathology in DLB patients with older age.
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Affiliation(s)
- Yasuhiro Nagahama
- Kawasaki Memorial Hospital, Kawasaki City, Japan.,Department of Geriatric Neurology, Shiga Medical Center, Moriyama City, Japan
| | - Tomoko Okina
- Department of Geriatric Neurology, Shiga Medical Center, Moriyama City, Japan
| | - Norio Suzuki
- Department of Geriatric Neurology, Shiga Medical Center, Moriyama City, Japan
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McKiernan EF, O'Brien JT. 7T MRI for neurodegenerative dementias in vivo: a systematic review of the literature. J Neurol Neurosurg Psychiatry 2017; 88:564-574. [PMID: 28259856 DOI: 10.1136/jnnp-2016-315022] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/04/2016] [Revised: 12/29/2016] [Accepted: 01/09/2017] [Indexed: 01/12/2023]
Abstract
The spatial resolution of 7T MRI approaches the scale of pathologies of interest in degenerative brain diseases, such as amyloid plaques and changes in cortical layers and subcortical nuclei. It may reveal new information about neurodegenerative dementias, although challenges may include increased artefact production and more adverse effects. We performed a systematic review of papers investigating Alzheimer's disease (AD), Lewy body dementia (LBD), frontotemporal dementia (FTD) and Huntington's disease (HD) in vivo using 7T MRI. Of 19 studies identified, 15 investigated AD (the majority of which examined hippocampal subfield changes), and 4 investigated HD. Ultrahigh resolution revealed changes not visible using lower field strengths, such as hippocampal subfield atrophy in mild cognitive impairment. Increased sensitivity to susceptibility-enhanced iron imaging, facilitating amyloid and microbleed examination; for example, higher microbleed prevalence was found in AD than previously recognised. Theoretical difficulties regarding image acquisition and scan tolerance were not reported as problematic. Study limitations included small subject groups, a lack of studies investigating LBD and FTD and an absence of longitudinal data. In vivo 7T MRI may illuminate disease processes and reveal new biomarkers and therapeutic targets. Evidence from AD and HD studies suggest that other neurodegenerative dementias would also benefit from imaging at ultrahigh resolution.
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Affiliation(s)
| | - John Tiernan O'Brien
- Department of Psychiatry, Cambridge Biomedical Campus, University of Cambridge, Cambridge, UK
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Hall B, Mak E, Cervenka S, Aigbirhio FI, Rowe JB, O’Brien JT. In vivo tau PET imaging in dementia: Pathophysiology, radiotracer quantification, and a systematic review of clinical findings. Ageing Res Rev 2017; 36:50-63. [PMID: 28315409 DOI: 10.1016/j.arr.2017.03.002] [Citation(s) in RCA: 85] [Impact Index Per Article: 12.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2016] [Revised: 02/15/2017] [Accepted: 03/06/2017] [Indexed: 12/14/2022]
Abstract
In addition to the deposition of β-amyloid plaques, neurofibrillary tangles composed of aggregated hyperphosphorylated tau are one of the pathological hallmarks of Alzheimer's disease and other neurodegenerative disorders. Until now, our understanding about the natural history and topography of tau deposition has only been based on post-mortem and cerebrospinal fluid studies, and evidence continues to implicate tau as a central driver of downstream neurodegenerative processes and cognitive decline. Recently, it has become possible to assess the regional distribution and severity of tau burden in vivo with the development of novel radiotracers for positron emission tomography (PET) imaging. In this article, we provide a comprehensive discussion of tau pathophysiology, its quantification with novel PET radiotracers, as well as a systematic review of tau PET imaging in normal aging and various dementia conditions: mild cognitive impairment, Alzheimer's disease, frontotemporal dementia, progressive supranuclear palsy, and Lewy body dementia. We discuss the main findings in relation to group differences, clinical-cognitive correlations of tau PET, and multi-modal relationships among tau PET and other pathological markers. Collectively, the small but growing literature of tau PET has yielded consistent anatomical patterns of tau accumulation that recapitulate post-mortem distribution of neurofibrillary tangles which correlate with cognitive functions and other markers of pathology. In general, AD is characterised by increased tracer retention in the inferior temporal lobe, extending into the frontal and parietal regions in more severe cases. It is also noted that the spatial topography of tau accumulation is markedly distinct to that of amyloid burden in aging and AD. Tau PET imaging has also revealed characteristic spatial patterns among various non-AD tauopathies, supporting its potential role for differential diagnosis. Finally, we propose novel directions for future tau research, including (a) longitudinal imaging in preclinical dementia, (b) multi-modal mapping of tau pathology onto other pathological processes such as neuroinflammation, and (c) the need for more validation studies against post-mortem samples of the same subjects.
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Mak E, Gabel S, Mirette H, Su L, Williams GB, Waldman A, Wells K, Ritchie K, Ritchie C, O’Brien J. Structural neuroimaging in preclinical dementia: From microstructural deficits and grey matter atrophy to macroscale connectomic changes. Ageing Res Rev 2017; 35:250-264. [PMID: 27777039 DOI: 10.1016/j.arr.2016.10.001] [Citation(s) in RCA: 41] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2016] [Revised: 08/26/2016] [Accepted: 10/19/2016] [Indexed: 12/18/2022]
Abstract
The last decade has witnessed a proliferation of neuroimaging studies characterising brain changes associated with Alzheimer's disease (AD), where both widespread atrophy and 'signature' brain regions have been implicated. In parallel, a prolonged latency period has been established in AD, with abnormal cerebral changes beginning many years before symptom onset. This raises the possibility of early therapeutic intervention, even before symptoms, when treatments could have the greatest effect on disease-course modification. Two important prerequisites of this endeavour are (1) accurate characterisation or risk stratification and (2) monitoring of progression using neuroimaging outcomes as a surrogate biomarker in those without symptoms but who will develop AD, here referred to as preclinical AD. Structural neuroimaging modalities have been used to identify brain changes related to risk factors for AD, such as familial genetic mutations, risk genes (for example apolipoprotein epsilon-4 allele), and/or family history. In this review, we summarise structural imaging findings in preclinical AD. Overall, the literature suggests early vulnerability in characteristic regions, such as the medial temporal lobe structures and the precuneus, as well as white matter tracts in the fornix, cingulum and corpus callosum. We conclude that while structural markers are promising, more research and validation studies are needed before future secondary prevention trials can adopt structural imaging biomarkers as either stratification or surrogate biomarkers.
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Hirjak D, Wolf RC, Remmele B, Seidl U, Thomann AK, Kubera KM, Schröder J, Maier-Hein KH, Thomann PA. Hippocampal formation alterations differently contribute to autobiographic memory deficits in mild cognitive impairment and Alzheimer's disease. Hippocampus 2017; 27:702-715. [PMID: 28281317 DOI: 10.1002/hipo.22726] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2016] [Revised: 02/27/2017] [Accepted: 03/01/2017] [Indexed: 12/17/2022]
Abstract
Autobiographical memory (AM) is part of declarative memory and includes both semantic and episodic aspects. AM deficits are among the major complaints of patients with Alzheimer's disease (AD) even in early or preclinical stages. Previous MRI studies in AD patients have showed that deficits in semantic and episodic AM are associated with hippocampal alterations. However, the question which specific hippocampal subfields and adjacent extrahippocampal structures contribute to deficits of AM in individuals with mild cognitive impairment (MCI) and AD patients has not been investigated so far. Hundred and seven participants (38 AD patients, 38 MCI individuals and 31 healthy controls [HC]) underwent MRI at 3 Tesla. AM was assessed with a semi-structured interview (E-AGI). FreeSurfer 5.3 was used for hippocampal parcellation. Semantic and episodic AM scores were related to the volume of 5 hippocampal subfields and cortical thickness in the parahippocampal and entorhinal cortex. Both semantic and episodic AM deficits were associated with bilateral hippocampal alterations. These associations referred mainly to CA1, CA2-3, presubiculum, and subiculum atrophy. Episodic, but not semantic AM loss was associated with cortical thickness reduction of the bilateral parahippocampal and enthorinal cortex. In MCI individuals, episodic, but not semantic AM deficits were associated with alterations of the CA1, presubiculum and subiculum. Our findings support the crucial role of CA1, presubiculum, and subiculum in episodic memory. The present results implicate that in MCI individuals, semantic and episodic AM deficits are subserved by distinct neuronal systems.
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Affiliation(s)
- Dusan Hirjak
- Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Germany
- Department of General Psychiatry, Center for Psychosocial Medicine, University of Heidelberg, Germany
| | - Robert C Wolf
- Department of General Psychiatry, Center for Psychosocial Medicine, University of Heidelberg, Germany
| | - Barbara Remmele
- Department of General Psychiatry, Center for Psychosocial Medicine, University of Heidelberg, Germany
| | - Ulrich Seidl
- Department of Psychiatry, Center for Mental Health, Stuttgart, Germany
| | - Anne K Thomann
- Department of Internal Medicine II, Medical Faculty Mannheim, University of Heidelberg, Germany
| | - Katharina M Kubera
- Department of General Psychiatry, Center for Psychosocial Medicine, University of Heidelberg, Germany
| | | | - Klaus H Maier-Hein
- Medical Image Computing Group, Division Medical and Biological Informatics, German Cancer Research Center (DKFZ), Germany
| | - Philipp A Thomann
- Department of General Psychiatry, Center for Psychosocial Medicine, University of Heidelberg, Germany
- Center for Mental Health, Odenwald District Healthcare Center, Albert-Schweitzer-Straße 10-20, Erbach, 64711, Germany
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Multi-modal MRI investigation of volumetric and microstructural changes in the hippocampus and its subfields in mild cognitive impairment, Alzheimer's disease, and dementia with Lewy bodies. Int Psychogeriatr 2017; 29:545-555. [PMID: 28088928 PMCID: PMC5819731 DOI: 10.1017/s1041610216002143] [Citation(s) in RCA: 45] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
BACKGROUND Volumetric atrophy and microstructural alterations in diffusion tensor imaging (DTI) measures of the hippocampus have been reported in people with Alzheimer's disease (AD) and mild cognitive impairment (MCI). However, no study to date has jointly investigated concomitant microstructural and volumetric changes of the hippocampus in dementia with Lewy bodies (DLB). METHODS A total of 84 subjects (23 MCI, 17 DLB, 14 AD, and 30 healthy controls) were recruited for a multi-modal imaging (3T MRI and DTI) study that included neuropsychological evaluation. Freesurfer was used to segment the total hippocampus and delineate its subfields. The hippocampal segmentations were co-registered to the mean diffusivity (MD) and fractional anisotropy (FA) maps obtained from the DTI images. RESULTS Both AD and MCI groups showed significantly smaller hippocampal volumes compared to DLB and controls, predominantly in the CA1 and subiculum subfields. Compared to controls, hippocampal MD was elevated in AD, but not in MCI. DLB was characterized by both volumetric and microstructural preservation of the hippocampus. In MCI, higher hippocampal MD was associated with greater atrophy of the hippocampus and CA1 region. Hippocampal volume was a stronger predictor of memory scores compared to MD within the MCI group. CONCLUSIONS Through a multi-modal integration, we report novel evidence that the hippocampus in DLB is characterized by both macrostructural and microstructural preservation. Contrary to recent suggestions, our findings do not support the view that DTI measurements of the hippocampus are superior to volumetric changes in characterizing group differences, particularly between MCI and controls.
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Yang W, Yu S. Synucleinopathies: common features and hippocampal manifestations. Cell Mol Life Sci 2017; 74:1485-1501. [PMID: 27826641 PMCID: PMC11107502 DOI: 10.1007/s00018-016-2411-y] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2015] [Revised: 10/31/2016] [Accepted: 11/03/2016] [Indexed: 01/08/2023]
Abstract
Parkinson's disease (PD), dementia with Lewy Bodies (DLB), and multiple system atrophy (MSA) are three major synucleinopathies characterized by α-synuclein-containing inclusions in the brains of patients. Because the cell types and brain structures that are affected vary markedly between the disorders, the patients have different clinical manifestations in addition to some overlapping symptoms, which are the basis for differential diagnosis. Cognitive impairment and depression associated with hippocampal dysfunction are frequently observed in these disorders. While various α-synuclein-containing inclusions are found in the hippocampal formation, increasing evidence supports that small α-synuclein aggregates or oligomers may be the real culprit, causing deficits in neurotransmission and neurogenesis in the hippocampus and related brain regions, which constitute the major mechanism for the hippocampal dysfunctions and associated neuropsychiatric manifestations in synucleinopathies.
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Affiliation(s)
- Weiwei Yang
- Department of Neurobiology, Xuanwu Hospital of Capital Medical University, 45 Changchun Street, Beijing, 100053, China
| | - Shun Yu
- Department of Neurobiology, Xuanwu Hospital of Capital Medical University, 45 Changchun Street, Beijing, 100053, China.
- Center of Parkinson's Disease, Beijing Institute for Brain Disorders, Beijing, China.
- Beijing Key Laboratory for Parkinson's Disease, Beijing, China.
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Del Sole A, Malaspina S, Magenta Biasina A. Magnetic resonance imaging and positron emission tomography in the diagnosis of neurodegenerative dementias. FUNCTIONAL NEUROLOGY 2017; 31:205-215. [PMID: 28072381 DOI: 10.11138/fneur/2016.31.4.205] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
Abstract
Neuroimaging, both with magnetic resonance imaging (MRI) and positron emission tomography (PET), has gained a pivotal role in the diagnosis of primary neurodegenerative diseases. These two techniques are used as biomarkers of both pathology and progression of Alzheimer's disease (AD) and to differentiate AD from other neurodegenerative diseases. MRI is able to identify structural changes including patterns of atrophy characterizing neurodegenerative diseases, and to distinguish these from other causes of cognitive impairment, e.g. infarcts, space-occupying lesions and hydrocephalus. PET is widely used to identify regional patterns of glucose utilization, since distinct patterns of distribution of cerebral glucose metabolism are related to different subtypes of neurodegenerative dementia. The use of PET in mild cognitive impairment, though controversial, is deemed helpful for predicting conversion to dementia and the dementia clinical subtype. Recently, new radiopharmaceuticals for the in vivo imaging of amyloid burden have been licensed and more tracers are being developed for the assessment of tauopathies and inflammatory processes, which may underlie the onset of the amyloid cascade. At present, the cerebral amyloid burden, imaged with PET, may help to exclude the presence of AD as well as forecast its possible onset. Finally PET imaging may be particularly useful in ongoing clinical trials for the development of dementia treatments. In the near future, the use of the above methods, in accordance with specific guidelines, along with the use of effective treatments will likely lead to more timely and successful treatment of neurodegenerative dementias.
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Hippocampal α-Synuclein in Dementia with Lewy Bodies Contributes to Memory Impairment and Is Consistent with Spread of Pathology. J Neurosci 2016; 37:1675-1684. [PMID: 28039370 DOI: 10.1523/jneurosci.3047-16.2016] [Citation(s) in RCA: 77] [Impact Index Per Article: 9.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2016] [Revised: 12/07/2016] [Accepted: 12/11/2016] [Indexed: 11/21/2022] Open
Abstract
Despite considerable research to uncover them, the anatomic and neuropathologic correlates of memory impairment in dementia with Lewy bodies (DLB) remain unclear. While some studies have implicated Lewy bodies in the neocortex, others have pointed to α-synuclein pathology in the hippocampus. We systematically examined hippocampal Lewy pathology and its distribution in hippocampal subfields in 95 clinically and neuropathologically characterized human cases of DLB, finding that α-synuclein pathology was highest in two hippocampal-related subregions: the CA2 subfield and the entorhinal cortex (EC). While the EC had numerous classic somatic Lewy bodies, CA2 contained mainly Lewy neurites in presumed axon terminals, suggesting the involvement of the EC → CA2 circuitry in the pathogenesis of DLB symptoms. Clinicopathological correlations with measures of verbal and visual memory supported a role for EC Lewy pathology, but not CA2, in causing these memory deficits. Lewy pathology in CA1-the main output region for CA2-correlated best with results from memory testing despite a milder pathology. This result indicates that CA1 may be more functionally relevant than CA2 in the context of memory impairment in DLB. These correlations remained significant after controlling for several factors, including concurrent Alzheimer's pathology (neuritic plaques and neurofibrillary tangles) and the interval between time of testing and time of death. Our data suggest that although hippocampal Lewy pathology in DLB is predominant in CA2 and EC, memory performance correlates most strongly with CA1 burden.SIGNIFICANCE STATEMENT This study provides a detailed neuropathologic analysis of hippocampal Lewy pathology in human patients with autopsy-confirmed dementia with Lewy bodies. The approach-informed by regional molecular markers, concurrent Alzheimer's pathology analysis, and relevant clinical data-helps tease out the relative contribution of Lewy pathology to memory dysfunction in the disease. Levels of Lewy pathology were found to be highest in the hippocampal CA2 subregion and entorhinal cortex, implicating a potentially overlooked circuit in disease pathogenesis. However, correlation with memory performance was strongest with CA1. This unexpected finding suggests that Lewy pathology must reach a critical burden across hippocampal circuitry to contribute to memory dysfunction beyond that related to other factors, notably coexisting Alzheimer's disease tau pathology.
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Associations of hippocampal subfields in the progression of cognitive decline related to Parkinson's disease. NEUROIMAGE-CLINICAL 2016; 14:37-42. [PMID: 28116240 PMCID: PMC5226850 DOI: 10.1016/j.nicl.2016.12.008] [Citation(s) in RCA: 60] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/27/2016] [Revised: 11/14/2016] [Accepted: 12/09/2016] [Indexed: 11/23/2022]
Abstract
Objective Hippocampal atrophy has been associated with mild cognitive impairment (MCI) in Parkinson's disease (PD). However, literature on how hippocampal atrophy affects the pathophysiology of cognitive impairment in PD has been limited. Previous studies assessed the hippocampus as an entire entity instead of their individual subregions. We studied the progression of cognitive status in PD subjects over 18 in relation to hippocampal subfields atrophy. Methods 65 PD subjects were included. Using the MDS task force criteria, PD subjects were classified as either having no cognitive impairment (PD-NCI) or PD-MCI. We extended the study by investigating the hippocampal subfields atrophy patterns in those who converted from PD-NCI to PD-MCI (PD-converters) compared to those who remained cognitively stable (PD-stable) over 18 months. Freesurfer 6.0 was used to perform the automated segmentation of the hippocampus into thirteen subregions. Results PD-MCI showed lower baseline volumes in the left fimbria, right CA1, and right HATA; and lower global cognition scores compared to PD-NCI. Baseline right CA1 was also correlated with baseline attention. Over 18 months, decline in volumes of CA2–3 and episodic memory were also seen in PD-converters compared to PD-stable. Baseline volumes of GC-DG, right CA4, left parasubiculum, and left HATA were predictive of the conversion from PD-NCI to PD-MCI. Conclusion The findings from this study add to the anatomical knowledge of hippocampal subregions in PD, allowing us to understand the unique functional contribution of each subfield. Structural changes in the hippocampus subfields could be early biomarkers to detect cognitive impairment in PD. Hippocampal subfields atrophy could detect cognitive impairment in PD. Each hippocampal subfields has a unique functional contribution. Baseline hippocampal subfields volumes predicted conversion to from NCI to MCI.
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Ma X, Li Z, Jing B, Liu H, Li D, Li H. Identify the Atrophy of Alzheimer's Disease, Mild Cognitive Impairment and Normal Aging Using Morphometric MRI Analysis. Front Aging Neurosci 2016; 8:243. [PMID: 27803665 PMCID: PMC5067377 DOI: 10.3389/fnagi.2016.00243] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2016] [Accepted: 10/03/2016] [Indexed: 11/17/2022] Open
Abstract
Quantitatively assessing the medial temporal lobe (MTL) structures atrophy is vital for early diagnosis of Alzheimer's disease (AD) and accurately tracking of the disease progression. Morphometry characteristics such as gray matter volume (GMV) and cortical thickness have been proved to be valuable measurements of brain atrophy. In this study, we proposed a morphometric MRI analysis based method to explore the cross-sectional differences and longitudinal changes of GMV and cortical thickness in patients with AD, MCI (mild cognitive impairment) and the normal elderly. High resolution 3D MRI data was obtained from ADNI database. SPM8 plus DARTEL was carried out for data preprocessing. Two kinds of z-score map were calculated to, respectively, reflect the GMV and cortical thickness decline compared with age-matched normal control database. A volume of interest (VOI) covering MTL structures was defined by group comparison. Within this VOI, GMV, and cortical thickness decline indicators were, respectively, defined as the mean of the negative z-scores and the sum of the normalized negative z-scores of the corresponding z-score map. Kruskal-Wallis test was applied to statistically identify group wise differences of the indicators. Support vector machines (SVM) based prediction was performed with a leave-one-out cross-validation design to evaluate the predictive accuracies of the indicators. Linear least squares estimation was utilized to assess the changing rate of the indicators for the three groups. Cross-sectional comparison of the baseline decline indicators revealed that the GMV and cortical thickness decline were more serious from NC, MCI to AD, with statistic significance. Using a multi-region based SVM model with the two indicators, the discrimination accuracy between AD and NC, MCI and NC, AD and MCI was 92.7, 91.7, and 78.4%, respectively. For three-way prediction, the accuracy was 74.6%. Furthermore, the proposed two indicators could also identify the atrophy rate differences among the three groups in longitudinal analysis. The proposed method could serve as an automatic and time-sparing approach for early diagnosis and tracking the progression of AD.
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Affiliation(s)
- Xiangyu Ma
- School of Biomedical Engineering, Capital Medical UniversityBeijing, China
| | - Zhaoxia Li
- School of Chinese Medicine, Capital Medical UniversityBeijing, China
| | - Bin Jing
- School of Biomedical Engineering, Capital Medical UniversityBeijing, China
| | - Han Liu
- School of Biomedical Engineering, Capital Medical UniversityBeijing, China
| | - Dan Li
- College of Software Engineering, Beijing University of TechnologyBeijing, China
| | - Haiyun Li
- School of Biomedical Engineering, Capital Medical UniversityBeijing, China
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Gertje EC, Pluta J, Das S, Mancuso L, Kliot D, Yushkevich P, Wolk D. Clinical Application of Automatic Segmentation of Medial Temporal Lobe Subregions in Prodromal and Dementia-Level Alzheimer's Disease. J Alzheimers Dis 2016; 54:1027-1037. [PMID: 27567809 DOI: 10.3233/jad-160014] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND Volumetry of medial temporal lobe (MTL) structures to diagnose Alzheimer's disease (AD) in its earliest symptomatic stage could be of great importance for interventions or disease modifying pharmacotherapy. OBJECTIVE This study aimed to demonstrate the first application of an automatic segmentation method of MTL subregions in a clinical population. Automatic segmentation of magnetic resonance images (MRIs) in a research population has previously been shown to detect evidence of neurodegeneration in MTL subregions and to help discriminate AD and mild cognitive impairment (MCI) from a healthy comparison group. METHODS Clinical patients were selected and T2-weighted MRI scan quality was checked. An automatic segmentation method of hippocampal subfields (ASHS) was applied to scans of 67 AD patients, 38 amnestic MCI patients, and 57 healthy controls. Hippocampal subfields, entorhinal cortex (ERC), and perirhinal cortex were automatically labeled and subregion volumes were compared between groups. RESULTS One fourth of all scans were excluded due to bad scan quality. There were significant volume reductions in all subregions, except BA36, in aMCIs (p < 0.001), most prominently in Cornu Ammonis 1 (CA1) and ERC, and in all subregions in AD. However, sensitivity of CA1 and ERC hardly differed from sensitivity of WH in aMCI and AD. CONCLUSION Applying automatic segmentation of MTL subregions in a clinical setting as a potential biomarker for prodromal AD is feasible, but issues of image quality due to motion remain to be addressed. CA1 and ERC provided strongest group discrimination in differentiating aMCIs from controls, but discriminatory power of different subfields was low overall.
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Affiliation(s)
- Eske Christiane Gertje
- Department of Internal Medicine, Skåne University Hospital, Lund, Sweden.,Department of Neurology, University of Oldenburg, Oldenburg, Germany.,Penn Image Computing and Science Laboratory, Department of Radiology, University of Pennsylvania, Philadelphia, USA
| | - John Pluta
- Penn Image Computing and Science Laboratory, Department of Radiology, University of Pennsylvania, Philadelphia, USA
| | - Sandhitsu Das
- Penn Image Computing and Science Laboratory, Department of Radiology, University of Pennsylvania, Philadelphia, USA.,Penn Memory Center, Department of Neurology, University of Pennsylvania, Philadelphia, USA
| | - Lauren Mancuso
- Penn Memory Center, Department of Neurology, University of Pennsylvania, Philadelphia, USA
| | - Dasha Kliot
- Penn Memory Center, Department of Neurology, University of Pennsylvania, Philadelphia, USA
| | - Paul Yushkevich
- Penn Image Computing and Science Laboratory, Department of Radiology, University of Pennsylvania, Philadelphia, USA
| | - David Wolk
- Penn Memory Center, Department of Neurology, University of Pennsylvania, Philadelphia, USA
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Sarro L, Senjem ML, Lundt ES, Przybelski SA, Lesnick TG, Graff-Radford J, Boeve BF, Lowe VJ, Ferman TJ, Knopman DS, Comi G, Filippi M, Petersen RC, Jack CR, Kantarci K. Amyloid-β deposition and regional grey matter atrophy rates in dementia with Lewy bodies. Brain 2016; 139:2740-2750. [PMID: 27452602 PMCID: PMC5035818 DOI: 10.1093/brain/aww193] [Citation(s) in RCA: 62] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2016] [Revised: 06/15/2016] [Accepted: 06/20/2016] [Indexed: 12/17/2022] Open
Abstract
Alzheimer's disease pathology frequently coexists with Lewy body disease at autopsy in patients with probable dementia with Lewy bodies. More than half of patients with probable dementia with Lewy bodies have high amyloid-β deposition as measured with 11C-Pittsburgh compound B binding on positron emission tomography. Biomarkers of amyloid-β deposition precede neurodegeneration on magnetic resonance imaging during the progression of Alzheimer's disease, but little is known about how amyloid-β deposition relates to longitudinal progression of atrophy in patients with probable dementia with Lewy bodies. We investigated the associations between baseline 11C-Pittsburgh compound B binding on positron emission tomography and the longitudinal rates of grey matter atrophy in a cohort of clinically diagnosed patients with dementia with Lewy bodies (n = 20), who were consecutively recruited to the Mayo Clinic Alzheimer's Disease Research Centre. All patients underwent 11C-Pittsburgh compound B positron emission tomography and magnetic resonance imaging examinations at baseline. Follow-up magnetic resonance imaging was performed after a mean (standard deviation) interval of 2.5 (1.1) years. Regional grey matter loss was determined on three-dimensional T1-weighted magnetic resonance imaging with the tensor-based morphometry-symmetric normalization technique. Linear regression was performed between baseline 11C-Pittsburgh compound B standard unit value ratio and longitudinal change in regional grey matter volumes from an in-house modified atlas. We identified significant associations between greater baseline 11C-Pittsburgh compound B standard unit value ratio and greater grey matter loss over time in the posterior cingulate gyrus, lateral and medial temporal lobe, and occipital lobe as well as caudate and putamen nuclei, after adjusting for age (P < 0.05). Greater baseline 11C-Pittsburgh compound B standard unit value ratio was also associated with greater ventricular expansion rates (P < 0.01) and greater worsening over time in Clinical Dementia Rating Scale, sum of boxes (P = 0.02). In conclusion, in patients with probable dementia with Lewy bodies, higher amyloid-β deposition at baseline is predictive of faster neurodegeneration in the cortex and also in the striatum. This distribution is suggestive of possible interactions among amyloid-β, tau and α-synuclein aggregates, which needs further investigation. Furthermore, higher amyloid-β deposition at baseline predicts a faster clinical decline over time in patients with probable dementia with Lewy bodies.
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Affiliation(s)
- Lidia Sarro
- 1 Department of Radiology, Mayo Clinic, Rochester, MN, USA 2 Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy 3 Department of Neurology, Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy
| | - Matthew L Senjem
- 1 Department of Radiology, Mayo Clinic, Rochester, MN, USA 4 Department of Information Technology, Mayo Clinic, Rochester, MN, USA
| | - Emily S Lundt
- 5 Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - Scott A Przybelski
- 5 Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - Timothy G Lesnick
- 5 Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | | | | | - Val J Lowe
- 1 Department of Radiology, Mayo Clinic, Rochester, MN, USA
| | - Tanis J Ferman
- 7 Department of Psychiatry and Psychology, Mayo Clinic, Jacksonville, FL, USA
| | | | - Giancarlo Comi
- 3 Department of Neurology, Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy
| | - Massimo Filippi
- 2 Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy 3 Department of Neurology, Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy
| | - Ronald C Petersen
- 5 Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA 6 Department of Neurology, Mayo Clinic, Rochester, MN, USA
| | | | - Kejal Kantarci
- 1 Department of Radiology, Mayo Clinic, Rochester, MN, USA
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Andreescu C, Aizenstein HJ. New Findings on the Neurobiology of Dementia and Dementia Risk. Am J Geriatr Psychiatry 2016; 24:105-6. [PMID: 26825577 DOI: 10.1016/j.jagp.2015.10.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/02/2015] [Accepted: 10/05/2015] [Indexed: 10/22/2022]
Affiliation(s)
- Carmen Andreescu
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA
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