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      11C-UCB-J synaptic PET and multimodal imaging in dementia with Lewy bodies

      case-report

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          Abstract

          Objective

          Dementia with Lewy bodies (DLB) is a common cause of dementia, but atrophy is mild compared to Alzheimer’s disease. We propose that DLB is associated instead with severe synaptic loss, and we test this hypothesis in vivo using positron emission tomography (PET) imaging of 11C-UCB-J, a ligand for presynaptic vesicle protein 2A (SV2A), a vesicle membrane protein ubiquitously expressed in synapses.

          Methods

          We performed 11C-UCB-J PET in two DLB patients (an amyloid-negative male and an amyloid-positive female in their 70s) and 10 similarly aged healthy controls. The DLB subjects also underwent PET imaging of amyloid ( 11C-PiB) and tau ( 18F-AV-1451). 11C-UCB-J binding was quantified using non-displaceable binding potential (BP ND) determined from dynamic imaging. Changes in 11C-UCB-J binding were correlated with MRI regional brain volume, 11C-PiB uptake and 18F-AV-1451 binding.

          Results

          Compared to controls, both patients had decreased 11C-UCB-J binding, especially in parietal and occipital regions (FDR-corrected p < 0.05). There were no significant correlations across regions between 11C-UCB-J binding and grey matter, tau ( 18F-AV1451) or amyloid ( 11C-PiB) in either patient.

          Conclusions

          Quantitative imaging of in vivo synaptic density in DLB is a promising approach to understanding the mechanisms of DLB, over and above changes in grey matter volume and concurrent amyloid/tau deposition.

          Supplementary Information

          The online version contains supplementary material available at 10.1186/s41824-020-00093-9.

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          Most cited references14

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          Diagnosis and management of dementia with Lewy bodies

          The Dementia with Lewy Bodies (DLB) Consortium has refined its recommendations about the clinical and pathologic diagnosis of DLB, updating the previous report, which has been in widespread use for the last decade. The revised DLB consensus criteria now distinguish clearly between clinical features and diagnostic biomarkers, and give guidance about optimal methods to establish and interpret these. Substantial new information has been incorporated about previously reported aspects of DLB, with increased diagnostic weighting given to REM sleep behavior disorder and 123iodine-metaiodobenzylguanidine (MIBG) myocardial scintigraphy. The diagnostic role of other neuroimaging, electrophysiologic, and laboratory investigations is also described. Minor modifications to pathologic methods and criteria are recommended to take account of Alzheimer disease neuropathologic change, to add previously omitted Lewy-related pathology categories, and to include assessments for substantia nigra neuronal loss. Recommendations about clinical management are largely based upon expert opinion since randomized controlled trials in DLB are few. Substantial progress has been made since the previous report in the detection and recognition of DLB as a common and important clinical disorder. During that period it has been incorporated into DSM-5, as major neurocognitive disorder with Lewy bodies. There remains a pressing need to understand the underlying neurobiology and pathophysiology of DLB, to develop and deliver clinical trials with both symptomatic and disease-modifying agents, and to help patients and carers worldwide to inform themselves about the disease, its prognosis, best available treatments, ongoing research, and how to get adequate support.
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            Cortical thickness and central surface estimation.

            Several properties of the human brain cortex, e.g., cortical thickness and gyrification, have been found to correlate with the progress of neuropsychiatric disorders. The relationship between brain structure and function harbors a broad range of potential uses, particularly in clinical contexts, provided that robust methods for the extraction of suitable representations of the brain cortex from neuroimaging data are available. One such representation is the computationally defined central surface (CS) of the brain cortex. Previous approaches to semi-automated reconstruction of this surface relied on image segmentation procedures that required manual interaction, thereby rendering them error-prone and complicating the analysis of brains that were not from healthy human adults. Validation of these approaches and thickness measures is often done only for simple artificial phantoms that cover just a few standard cases. Here, we present a new fully automated method that allows for measurement of cortical thickness and reconstructions of the CS in one step. It uses a tissue segmentation to estimate the WM distance, then projects the local maxima (which is equal to the cortical thickness) to other GM voxels by using a neighbor relationship described by the WM distance. This projection-based thickness (PBT) allows the handling of partial volume information, sulcal blurring, and sulcal asymmetries without explicit sulcus reconstruction via skeleton or thinning methods. Furthermore, we introduce a validation framework using spherical and brain phantoms that confirms accurate CS construction and cortical thickness measurement under a wide set of parameters for several thickness levels. The results indicate that both the quality and computational cost of our method are comparable, and may be superior in certain respects, to existing approaches.
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              Assessing Synaptic Density in Alzheimer Disease With Synaptic Vesicle Glycoprotein 2A Positron Emission Tomographic Imaging

              Question Can we measure synaptic loss in Alzheimer disease in vivo using positron emission tomography (PET) with the specific radioligand 11 C-UCB-J? Findings This cross-sectional PET imaging study examined 11 C-UCB-J–specific binding as a biomarker for synaptic density in 11 cognitively normal elderly participants and 10 participants with mild cognitive impairment to early Alzheimer disease. Significant reductions of hippocampal synaptic densities were found in participants with Alzheimer disease compared with age-matched participants who were cognitively normal. Meaning PET scanning with 11 C-UCB-J may provide a direct measure of synaptic density in Alzheimer disease in vivo; it yields results consistent with previous neuropathological investigations. This cross-sectional study compares synaptic vesicle glycoprotein 2A binding in the brains of participants with Alzheimer disease and cognitively normal participants using positron emission tomographic (PET) imaging. Importance Synaptic loss is well established as the major structural correlate of cognitive impairment in Alzheimer disease (AD). The ability to measure synaptic density in vivo could accelerate the development of disease-modifying treatments for AD. Synaptic vesicle glycoprotein 2A is an essential vesicle membrane protein expressed in virtually all synapses and could serve as a suitable target for synaptic density. Objective To compare hippocampal synaptic vesicle glycoprotein 2A (SV2A) binding in participants with AD and cognitively normal participants using positron emission tomographic (PET) imaging. Design, Setting, and Participants This cross-sectional study recruited 10 participants with AD and 11 participants who were cognitively normal between November 2015 and June 2017. We hypothesized a reduction in hippocampal SV2A binding in AD, based on the early degeneration of entorhinal cortical cell projections to the hippocampus (via the perforant path) and hippocampal SV2A reductions that had been observed in postmortem studies. Participants underwent high-resolution PET scanning with ( (R) -1-((3-(11C-methyl-11C)pyridin-4-yl)methyl)-4-(3,4,5-trifluorophenyl)pyrrolidin-2-one), a compound more commonly known as 11 C-UCB-J, for SV2A. They also underwent high-resolution PET scanning with carbon 11–labeled Pittsburgh Compound B ( 11 C-PiB) for β-amyloid, magnetic resonance imaging, and cognitive and neurologic evaluation. Main Outcomes and Measures Outcomes were 11 C-UCB-J–specific binding (binding potential [ BP ND ]) via PET imaging in brain regions of interest in participants with AD and participants who were cognitively normal. Results Ten participants with AD (5 male and 5 female; mean [SD] age, 72.7 [6.3] years; 10 [100%] β-amyloid positive) were compared with 11 participants who were cognitively normal (5 male and 6 female; mean [SD] age, 72.9 [8.7] years; 11 [100%] β-amyloid negative). Participants with AD spanned the disease stages from amnestic mild cognitive impairment (n = 5) to mild dementia (n = 5). Participants with AD had significant reduction in hippocampal SV2A specific binding (41%) compared with cognitively normal participants, as assessed by 11 C-UCB-J–PET BP ND (cognitively normal participants: mean [SD] BP ND , 1.47 [0.37]; participants with AD: 0.87 [0.50]; P  = .005). These reductions remained significant after correction for atrophy (ie, partial volume correction; participants who were cognitively normal: mean [SD], 2.71 [0.46]; participants with AD: 2.15 [0.55]; P  = .02). Hippocampal SV2A-specific binding BP ND was correlated with a composite episodic memory score in the overall sample ( R  = 0.56; P  = .01). Conclusions and Relevance To our knowledge, this is the first study to investigate synaptic density in vivo in AD using 11 C-UCB-J–PET imaging. This approach may provide a direct measure of synaptic density, and it therefore holds promise as an in vivo biomarker for AD and as an outcome measure for trials of disease-modifying therapies, particularly those targeted at the preservation and restoration of synapses.
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                Author and article information

                Contributors
                nicolas.nicastro@hcuge.ch
                Journal
                Eur J Hybrid Imaging
                Eur J Hybrid Imaging
                European Journal of Hybrid Imaging
                Springer International Publishing (Cham )
                2510-3636
                22 December 2020
                22 December 2020
                2020
                : 4
                : 1
                : 25
                Affiliations
                [1 ]GRID grid.5335.0, ISNI 0000000121885934, Department of Psychiatry, , University of Cambridge, ; Cambridge, UK
                [2 ]GRID grid.150338.c, ISNI 0000 0001 0721 9812, Division of Neurology, Department of Clinical Neurosciences, , Geneva University Hospitals, ; 4 rue G. Perret-Gentil, 1205 Geneva, Switzerland
                [3 ]GRID grid.5335.0, ISNI 0000000121885934, Department of Clinical Neurosciences, , University of Cambridge, ; Cambridge, UK
                [4 ]GRID grid.5335.0, ISNI 0000000121885934, Wolfson Brain Imaging Centre, , University of Cambridge, ; Cambridge, UK
                Author information
                http://orcid.org/0000-0002-5836-0792
                Article
                93
                10.1186/s41824-020-00093-9
                7752786
                33381679
                fc1c7110-7a97-44d2-80fd-eafa06da6565
                © The Author(s) 2020

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 1 July 2020
                : 15 November 2020
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/100004440, Wellcome Trust;
                Award ID: 103838
                Award Recipient :
                Funded by: NIHR Cambridge MRC CBU
                Funded by: Cambridge Center for Parkinson Plus
                Funded by: FundRef http://dx.doi.org/10.13039/501100004218, Patrick Berthoud Charitable Trust;
                Categories
                Case Report
                Custom metadata
                © The Author(s) 2020

                synaptic imaging,dementia,lewy bodies,amyloid,tau,brain atrophy
                synaptic imaging, dementia, lewy bodies, amyloid, tau, brain atrophy

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