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Sacco A, Gordon SG, Lomber SG. Connectome alterations following perinatal deafness in the cat. Neuroimage 2024; 290:120554. [PMID: 38431180 DOI: 10.1016/j.neuroimage.2024.120554] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2023] [Revised: 02/23/2024] [Accepted: 02/24/2024] [Indexed: 03/05/2024] Open
Abstract
Following sensory deprivation, areas and networks in the brain may adapt and reorganize to compensate for the loss of input. These adaptations are manifestations of compensatory crossmodal plasticity, which has been documented in both human and animal models of deafness-including the domestic cat. Although there are abundant examples of structural plasticity in deaf felines from retrograde tracer-based studies, there is a lack of diffusion-based knowledge involving this model compared to the current breadth of human research. The purpose of this study was to explore white matter structural adaptations in the perinatally-deafened cat via tractography, increasing the methodological overlap between species. Plasticity was examined by identifying unique group connections and assessing altered connectional strength throughout the entirety of the brain. Results revealed a largely preserved connectome containing a limited number of group-specific or altered connections focused within and between sensory networks, which is generally corroborated by deaf feline anatomical tracer literature. Furthermore, five hubs of cortical plasticity and altered communication following perinatal deafness were observed. The limited differences found in the present study suggest that deafness-induced crossmodal plasticity is largely built upon intrinsic structural connections, with limited remodeling of underlying white matter.
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Affiliation(s)
- Alessandra Sacco
- Integrated Program in Neuroscience, McGill University, Montreal, Quebec, Canada
| | - Stephen G Gordon
- Integrated Program in Neuroscience, McGill University, Montreal, Quebec, Canada
| | - Stephen G Lomber
- Integrated Program in Neuroscience, McGill University, Montreal, Quebec, Canada; Department of Physiology, McGill University, Montreal, Quebec, Canada.
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Kim J, Barcus R, Lipford ME, Yuan H, Ririe DG, Jung Y, Vlasova RM, Styner M, Nader MA, Whitlow CT. Effects of multiple anesthetic exposures on rhesus macaque brain development: a longitudinal structural MRI analysis. Cereb Cortex 2024; 34:bhad463. [PMID: 38142289 PMCID: PMC10793576 DOI: 10.1093/cercor/bhad463] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2023] [Revised: 11/10/2023] [Accepted: 11/13/2023] [Indexed: 12/25/2023] Open
Abstract
Concerns about the potential neurotoxic effects of anesthetics on developing brain exist. When making clinical decisions, the timing and dosage of anesthetic exposure are critical factors to consider due to their associated risks. In our study, we investigated the impact of repeated anesthetic exposures on the brain development trajectory of a cohort of rhesus monkeys (n = 26) over their first 2 yr of life, utilizing longitudinal magnetic resonance imaging data. We hypothesized that early or high-dose anesthesia exposure could negatively influence structural brain development. By employing the generalized additive mixed model, we traced the longitudinal trajectories of brain volume, cortical thickness, and white matter integrity. The interaction analysis revealed that age and cumulative anesthetic dose were variably linked to white matter integrity but not to morphometric measures. Early high-dose exposure was associated with increased mean, axial, and radial diffusivities across all white matter regions, compared to late-low-dose exposure. Our findings indicate that early or high-dose anesthesia exposure during infancy disrupts structural brain development in rhesus monkeys. Consequently, the timing of elective surgeries and procedures that require anesthesia for children and pregnant women should be strategically planned to account for the cumulative dose of volatile anesthetics, aiming to minimize the potential risks to brain development.
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Affiliation(s)
- Jeongchul Kim
- Radiology Informatics and Image Processing Laboratory (RIIPL), Wake Forest School of Medicine, Winston-Salem, NC, United States
- Department of Radiology, Wake Forest School of Medicine, Winston-Salem, NC, United States
- School of Biomedical Engineering and Sciences, Virginia Tech-Wake Forest University, Winston-Salem, NC, United States
| | - Richard Barcus
- Radiology Informatics and Image Processing Laboratory (RIIPL), Wake Forest School of Medicine, Winston-Salem, NC, United States
- Department of Radiology, Wake Forest School of Medicine, Winston-Salem, NC, United States
| | - Megan E Lipford
- Radiology Informatics and Image Processing Laboratory (RIIPL), Wake Forest School of Medicine, Winston-Salem, NC, United States
- Department of Radiology, Wake Forest School of Medicine, Winston-Salem, NC, United States
- School of Biomedical Engineering and Sciences, Virginia Tech-Wake Forest University, Winston-Salem, NC, United States
| | - Hongyu Yuan
- Radiology Informatics and Image Processing Laboratory (RIIPL), Wake Forest School of Medicine, Winston-Salem, NC, United States
- Department of Radiology, Wake Forest School of Medicine, Winston-Salem, NC, United States
| | - Douglas G Ririe
- Pain Mechanisms Lab, Department of Anesthesiology, Wake Forest School of Medicine, Winston-Salem, NC, United States
| | - Youngkyoo Jung
- Department of Biomedical Engineering, University of California Davis, Davis, CA, United States
| | - Roza M Vlasova
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Martin Styner
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Michael A Nader
- Department of Physiology and Pharmacology, Wake Forest School of Medicine, Winston-Salem, NC, United States
- Center for Research on Substance Use and Addiction, Wake Forest School of Medicine, Winston-Salem, NC, United States
- Clinical and Translational Science Institute, Wake Forest School of Medicine, Winston-Salem, NC, United States
| | - Christopher T Whitlow
- Radiology Informatics and Image Processing Laboratory (RIIPL), Wake Forest School of Medicine, Winston-Salem, NC, United States
- Department of Radiology, Wake Forest School of Medicine, Winston-Salem, NC, United States
- School of Biomedical Engineering and Sciences, Virginia Tech-Wake Forest University, Winston-Salem, NC, United States
- Center for Research on Substance Use and Addiction, Wake Forest School of Medicine, Winston-Salem, NC, United States
- Clinical and Translational Science Institute, Wake Forest School of Medicine, Winston-Salem, NC, United States
- Department of Biostatistics and Data Science, Wake Forest School of Medicine, Winston-Salem, NC, United States
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Lu WJ, Mao L, Li J, OuYang LY, Chen JY, Chen SY, Lin YY, Wu YW, Chen SN, Qiu SD, Chen F. Three-dimensional ultrasound-based radiomics nomogram for the prediction of extrathyroidal extension features in papillary thyroid cancer. Front Oncol 2023; 13:1046951. [PMID: 37681026 PMCID: PMC10482087 DOI: 10.3389/fonc.2023.1046951] [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: 09/17/2022] [Accepted: 07/21/2023] [Indexed: 09/09/2023] Open
Abstract
Purpose To develop and validate a three-dimensional ultrasound (3D US) radiomics nomogram for the preoperative prediction of extrathyroidal extension (ETE) in papillary thyroid cancer (PTC). Methods This retrospective study included 168 patients with surgically proven PTC (non-ETE, n = 90; ETE, n = 78) who were divided into training (n = 117) and validation (n = 51) cohorts by a random stratified sampling strategy. The regions of interest (ROIs) were obtained manually from 3D US images. A larger number of radiomic features were automatically extracted. Finally, a nomogram was built, incorporating the radiomics scores and selected clinical predictors. Receiver operating characteristic (ROC) curves were performed to validate the capability of the nomogram on both the training and validation sets. The nomogram models were compared with conventional US models. The DeLong test was adopted to compare different ROC curves. Results The area under the receiver operating characteristic curve (AUC) of the radiologist was 0.67 [95% confidence interval (CI), 0.580-0.757] in the training cohort and 0.62 (95% CI, 0.467-0.746) in the validation cohort. Sixteen features from 3D US images were used to build the radiomics signature. The radiomics nomogram, which incorporated the radiomics signature, tumor location, and tumor size showed good calibration and discrimination in the training cohort (AUC, 0.810; 95% CI, 0.727-0.876) and the validation cohort (AUC, 0.798; 95% CI, 0.662-0.897). The result suggested that the diagnostic efficiency of the 3D US-based radiomics nomogram was better than that of the radiologist and it had a favorable discriminate performance with a higher AUC (DeLong test: p < 0.05). Conclusions The 3D US-based radiomics signature nomogram, a noninvasive preoperative prediction method that incorporates tumor location and tumor size, presented more advantages over radiologist-reported ETE statuses for PTC.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | | | - Fei Chen
- *Correspondence: Shao-Dong Qiu, ; Fei Chen,
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Simhal AK, Carpenter KLH, Kurtzberg J, Song A, Tannenbaum A, Zhang L, Sapiro G, Dawson G. Changes in the geometry and robustness of diffusion tensor imaging networks: Secondary analysis from a randomized controlled trial of young autistic children receiving an umbilical cord blood infusion. Front Psychiatry 2022; 13:1026279. [PMID: 36353577 PMCID: PMC9637553 DOI: 10.3389/fpsyt.2022.1026279] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/23/2022] [Accepted: 09/22/2022] [Indexed: 11/04/2022] Open
Abstract
Diffusion tensor imaging (DTI) has been used as an outcome measure in clinical trials for several psychiatric disorders but has rarely been explored in autism clinical trials. This is despite a large body of research suggesting altered white matter structure in autistic individuals. The current study is a secondary analysis of changes in white matter connectivity from a double-blind placebo-control trial of a single intravenous cord blood infusion in 2-7-year-old autistic children (1). Both clinical assessments and DTI were collected at baseline and 6 months after infusion. This study used two measures of white matter connectivity: change in node-to-node connectivity as measured through DTI streamlines and a novel measure of feedback network connectivity, Ollivier-Ricci curvature (ORC). ORC is a network measure which considers both local and global connectivity to assess the robustness of any given pathway. Using both the streamline and ORC analyses, we found reorganization of white matter pathways in predominantly frontal and temporal brain networks in autistic children who received umbilical cord blood treatment versus those who received a placebo. By looking at changes in network robustness, this study examined not only the direct, physical changes in connectivity, but changes with respect to the whole brain network. Together, these results suggest the use of DTI and ORC should be further explored as a potential biomarker in future autism clinical trials. These results, however, should not be interpreted as evidence for the efficacy of cord blood for improving clinical outcomes in autism. This paper presents a secondary analysis using data from a clinical trial that was prospectively registered with ClinicalTrials.gov(NCT02847182).
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Affiliation(s)
- Anish K. Simhal
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, United States
| | - Kimberly L. H. Carpenter
- Duke Center for Autism and Brain Development, Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, NC, United States
| | - Joanne Kurtzberg
- Marcus Center for Cellular Cures, Duke University Medical Center, Durham, NC, United States
| | - Allen Song
- Brain Imaging and Analysis Center, Duke University, Durham, NC, United States
| | - Allen Tannenbaum
- Department of Computer Science, Stony Brook University, Stony Brook, NY, United States
- Department of Applied Mathematics and Statistics, Stony Brook University, Stony Brook, NY, United States
| | - Lijia Zhang
- Brain Imaging and Analysis Center, Duke University, Durham, NC, United States
| | - Guillermo Sapiro
- Department of Electrical and Computer Engineering, Duke University, Durham, NC, United States
- Department of Biomedical Engineering, Computer Science, and Mathematics, Duke University, Durham, NC, United States
| | - Geraldine Dawson
- Duke Center for Autism and Brain Development, Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, NC, United States
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Toescu SM, Bruckert L, Jabarkheel R, Yecies D, Zhang M, Clark CA, Mankad K, Aquilina K, Grant GA, Feldman HM, Travis KE, Yeom KW. Spatiotemporal changes in along-tract profilometry of cerebellar peduncles in cerebellar mutism syndrome. Neuroimage Clin 2022; 35:103000. [PMID: 35370121 PMCID: PMC9421471 DOI: 10.1016/j.nicl.2022.103000] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2021] [Revised: 01/16/2022] [Accepted: 03/28/2022] [Indexed: 10/29/2022]
Abstract
Cerebellar mutism syndrome, characterised by mutism, emotional lability and cerebellar motor signs, occurs in up to 39% of children following resection of medulloblastoma, the most common malignant posterior fossa tumour of childhood. Its pathophysiology remains unclear, but prior studies have implicated damage to the superior cerebellar peduncles. In this study, the objective was to conduct high-resolution spatial profilometry of the cerebellar peduncles and identify anatomic biomarkers of cerebellar mutism syndrome. In this retrospective study, twenty-eight children with medulloblastoma (mean age 8.8 ± 3.8 years) underwent diffusion MRI at four timepoints over one year. Forty-nine healthy children (9.0 ± 4.2 years), scanned at a single timepoint, served as age- and sex-matched controls. Automated Fibre Quantification was used to segment cerebellar peduncles and compute fractional anisotropy (FA) at 30 nodes along each tract. Thirteen patients developed cerebellar mutism syndrome. FA was significantly lower in the distal third of the left superior cerebellar peduncle pre-operatively in all patients compared to controls (FA in proximal third 0.228, middle and distal thirds 0.270, p = 0.01, Cohen's d = 0.927). Pre-operative differences in FA did not predict cerebellar mutism syndrome. However, post-operative reductions in FA were highly specific to the distal left superior cerebellar peduncle, and were most pronounced in children with cerebellar mutism syndrome compared to those without at the 1-4 month follow up (0.325 vs 0.512, p = 0.042, d = 1.36) and at the 1-year follow up (0.342, vs 0.484, p = 0.038, d = 1.12). High spatial resolution cerebellar profilometry indicated a site-specific alteration of the distal segment of the superior cerebellar peduncle seen in cerebellar mutism syndrome which may have important surgical implications in the treatment of these devastating tumours of childhood.
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Affiliation(s)
- Sebastian M Toescu
- Division of Developmental-Behavioural Pediatrics, Stanford University School of Medicine, Stanford, CA 94305, USA; Department of Radiology, Lucile Packard Children's Hospital, Stanford University School of Medicine, Stanford, CA 94305, USA; Developmental Imaging and Biophysics Section, UCL-GOS Institute of Child Health, 30 Guilford St, London WC1N 1EH, UK; Department of Neurosurgery, Great Ormond Street Hospital, London WC1N 3JH, UK.
| | - Lisa Bruckert
- Division of Developmental-Behavioural Pediatrics, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Rashad Jabarkheel
- Department of Neurosurgery, Lucille Packard Children's Hospital, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Derek Yecies
- Department of Neurosurgery, Lucille Packard Children's Hospital, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Michael Zhang
- Department of Neurosurgery, Lucille Packard Children's Hospital, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Christopher A Clark
- Developmental Imaging and Biophysics Section, UCL-GOS Institute of Child Health, 30 Guilford St, London WC1N 1EH, UK
| | - Kshitij Mankad
- Department of Radiology, Great Ormond Street Hospital, London WC1N 3JH, UK
| | - Kristian Aquilina
- Department of Neurosurgery, Great Ormond Street Hospital, London WC1N 3JH, UK
| | - Gerald A Grant
- Department of Neurosurgery, Lucille Packard Children's Hospital, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Heidi M Feldman
- Division of Developmental-Behavioural Pediatrics, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Katherine E Travis
- Division of Developmental-Behavioural Pediatrics, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Kristen W Yeom
- Department of Radiology, Lucile Packard Children's Hospital, Stanford University School of Medicine, Stanford, CA 94305, USA
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Rikitake M, Hata J, Iida M, Seki F, Ito R, Komaki Y, Yamada C, Yoshimaru D, Okano HJ, Shirakawa T. Analysis of Brain Structure and Neural Organization in Dystrophin-Deficient Model Mice with Magnetic Resonance Imaging at 7 T. Open Neuroimag J 2022. [DOI: 10.2174/18744400-v15-e2202040] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
Background:
Dystrophin strengthens muscle cells; however, in muscular dystrophy, dystrophin is deficient due to an abnormal sugar chain. This abnormality occurs in skeletal muscle and in brain tissue.
Objective:
This study aimed to non-invasively analyze the neural organization of the brain in muscular dystrophy. We used a mouse model of muscular dystrophy to study whether changes in brain structure and neurodegeneration following dystrophin deficiency can be assessed by 7T magnetic resonance imaging.
Methods:
C57BL/10-mdx (X chromosome-linked muscular dystrophy) mice were used as the dystrophic mouse model and healthy mice were used as controls. Ventricular enlargement is one of the most common brain malformations in dystrophin-deficient patients. Therefore, we examined whether ventricular enlargement was observed in C57BL/10-mdx using transverse-relaxation weighted images. Brain parenchyma analysis was performed using diffusion MRI with diffusion tensor images and neurite orientation dispersion and density imaging. Parenchymal degeneration was assessed in terms of directional diffusion, nerve fiber diffusion, and dendritic scattering density.
Results:
For the volume of brain ventricles analyzed by T2WI, the average size was 1.5 times larger in mdx mice compared to control mice. In the brain parenchyma, a significant difference (p < 0.05) was observed in parameters indicating disturbances in the direction of nerve fibers and dendritic scattering density in the white matter region.
Conclusion:
Our results show that changes in brain structure due to dystrophin deficiency can be assessed in detail without tissue destruction by combining diffusion tensor images and neurite orientation dispersion and density imaging analyses.
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Tam EWY, Kamino D, Shatil AS, Chau V, Moore AM, Brant R, Widjaja E. Hyperglycemia associated with acute brain injury in neonatal encephalopathy. NEUROIMAGE-CLINICAL 2021; 32:102835. [PMID: 34601311 PMCID: PMC8496301 DOI: 10.1016/j.nicl.2021.102835] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/11/2021] [Revised: 09/18/2021] [Accepted: 09/20/2021] [Indexed: 12/22/2022]
Abstract
Cohort study of neonatal encephalopathy using continuous glucose monitoring. Higher glucose on day 1 associated with widespread changes in brain microstructure. Lower glucose not associated with brain microstructural changes. No changes in MR spectroscopy found related to higher or lower glucose.
Objective To identify how alterations in glucose levels are associated with regional brain injury in neonatal encephalopathy. Methods This was a prospective cohort study of 102 newborns with neonatal encephalopathy, with continuous glucose monitoring for 72 h. 97 (95%) completed 72 h of therapeutic hypothermia. Brain imaging around day 5 of life included diffusion tensor imaging and MR spectroscopy. Regions of interest were placed for both DTI and MR spectroscopy, and tractography of the optic radiation and corticospinal tract were evaluated. Linear regression models related each MR metric with minimum and maximum glucose values during each day of life, adjusting for 5-minute Apgar scores and umbilical artery pH. Results Higher maximum glucose levels on the first day of life were associated with widespread changes in mean diffusivity in the anterior and posterior white matter, splenium of the corpus callosum, lentiform nucleus, pulvinar nucleus of the thalamus, posterior limb of the internal capsule, and optic radiations, thus including regions traditionally associated with hypoxia–ischemia or hypoglycemia. No associations were found between lower minimum glucose levels and DTI changes in any regions tested, or between glucose levels and MR spectroscopy. Conclusions In this cohort of neonatal encephalopathy with therapeutic hypothermia, higher maximal glucose on the first day of life was associated with widespread microstructural changes, but lower minimum glucose levels were not associated with changes in any of the regions tested. Long-term follow-up will determine if imaging findings translate to long-term outcomes.
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Affiliation(s)
- Emily W Y Tam
- Department of Paediatrics, The Hospital for Sick Children and the University of Toronto, Toronto, ON, Canada; Neurosciences and Mental Health Program, Hospital for Sick Children Research Institute, Toronto, ON, Canada.
| | - Daphne Kamino
- Neurosciences and Mental Health Program, Hospital for Sick Children Research Institute, Toronto, ON, Canada
| | - Anwar S Shatil
- Neurosciences and Mental Health Program, Hospital for Sick Children Research Institute, Toronto, ON, Canada
| | - Vann Chau
- Department of Paediatrics, The Hospital for Sick Children and the University of Toronto, Toronto, ON, Canada
| | - Aideen M Moore
- Department of Paediatrics, The Hospital for Sick Children and the University of Toronto, Toronto, ON, Canada
| | - Rollin Brant
- Department of Statistics, The University of British Columbia, Vancouver, BC, Canada
| | - Elysa Widjaja
- Department of Paediatrics, The Hospital for Sick Children and the University of Toronto, Toronto, ON, Canada; Neurosciences and Mental Health Program, Hospital for Sick Children Research Institute, Toronto, ON, Canada; Department of Radiology, The Hospital for Sick Children and the University of Toronto, Toronto, ON, Canada
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Correction: Transient changes in white matter microstructure during general anesthesia. PLoS One 2021; 16:e0250449. [PMID: 33857261 PMCID: PMC8049249 DOI: 10.1371/journal.pone.0250449] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
Abstract
[This corrects the article DOI: 10.1371/journal.pone.0247678.].
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