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Strain JF, Phuah CL, Adeyemo B, Cheng K, Womack KB, McCarthy J, Goyal M, Chen Y, Sotiras A, An H, Xiong C, Scharf A, Newsom-Stewart C, Morris JC, Benzinger TLS, Lee JM, Ances BM. White matter hyperintensity longitudinal morphometric analysis in association with Alzheimer disease. Alzheimers Dement 2023; 19:4488-4497. [PMID: 37563879 PMCID: PMC10592317 DOI: 10.1002/alz.13377] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2022] [Revised: 05/30/2023] [Accepted: 06/02/2023] [Indexed: 08/12/2023]
Abstract
INTRODUCTION Vascular damage in Alzheimer's disease (AD) has shown conflicting findings particularly when analyzing longitudinal data. We introduce white matter hyperintensity (WMH) longitudinal morphometric analysis (WLMA) that quantifies WMH expansion as the distance from lesion voxels to a region of interest boundary. METHODS WMH segmentation maps were derived from 270 longitudinal fluid-attenuated inversion recovery (FLAIR) ADNI images. WLMA was performed on five data-driven WMH patterns with distinct spatial distributions. Amyloid accumulation was evaluated with WMH expansion across the five WMH patterns. RESULTS The preclinical group had significantly greater expansion in the posterior ventricular WM compared to controls. Amyloid significantly associated with frontal WMH expansion primarily within AD individuals. WLMA outperformed WMH volume changes for classifying AD from controls primarily in periventricular and posterior WMH. DISCUSSION These data support the concept that localized WMH expansion continues to proliferate with amyloid accumulation throughout the entirety of the disease in distinct spatial locations.
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Affiliation(s)
- Jeremy Fuller Strain
- Department of Neurology, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Chia-Ling Phuah
- Department of Neurology, Washington University School of Medicine, St. Louis, Missouri, USA
- NeuroGenomics and Informatics Center, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Babatunde Adeyemo
- Department of Neurology, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Kathleen Cheng
- Department of Neurology, Washington University School of Medicine, St. Louis, Missouri, USA
- Department of Biomedical Engineering, Washington University in St. Louis, St. Louis, Missouri, USA
| | - Kyle B Womack
- Department of Neurology, Washington University School of Medicine, St. Louis, Missouri, USA
| | - John McCarthy
- Department of Mathematics, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Manu Goyal
- Department of Radiology, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Yasheng Chen
- Department of Neurology, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Aristeidis Sotiras
- Department of Radiology, Washington University School of Medicine, St. Louis, Missouri, USA
- Institute for Informatics, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Hongyu An
- Department of Radiology, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Chengjie Xiong
- Division of Biostatics, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Andrea Scharf
- Department of Biological Sciences, Missouri University for Science and Technology, Rolla, Missouri, USA
| | - Catherine Newsom-Stewart
- Department of Developmental Biology, Washington University School of Medicine, St. Louis, Missouri, USA
| | - John Carl Morris
- Department of Neurology, Washington University School of Medicine, St. Louis, Missouri, USA
- Knight Alzheimer Disease Research Center, St. Louis, Missouri, USA
| | - Tammie Lee Smith Benzinger
- Department of Radiology, Washington University School of Medicine, St. Louis, Missouri, USA
- Knight Alzheimer Disease Research Center, St. Louis, Missouri, USA
| | - Jin-Moo Lee
- Department of Neurology, Washington University School of Medicine, St. Louis, Missouri, USA
- Department of Biomedical Engineering, Washington University in St. Louis, St. Louis, Missouri, USA
- Department of Radiology, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Beau M Ances
- Department of Neurology, Washington University School of Medicine, St. Louis, Missouri, USA
- Department of Biomedical Engineering, Washington University in St. Louis, St. Louis, Missouri, USA
- Department of Radiology, Washington University School of Medicine, St. Louis, Missouri, USA
- Knight Alzheimer Disease Research Center, St. Louis, Missouri, USA
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Vermunt L, Sutphen C, Dicks E, de Leeuw DM, Allegri R, Berman SB, Cash DM, Chhatwal JP, Cruchaga C, Day G, Ewers M, Farlow M, Fox NC, Ghetti B, Graff-Radford N, Hassenstab J, Jucker M, Karch CM, Kuhle J, Laske C, Levin J, Masters CL, McDade E, Mori H, Morris JC, Perrin RJ, Preische O, Schofield PR, Suárez-Calvet M, Xiong C, Scheltens P, Teunissen CE, Visser PJ, Bateman RJ, Benzinger TLS, Fagan AM, Gordon BA, Tijms BM. Axonal damage and astrocytosis are biological correlates of grey matter network integrity loss: a cohort study in autosomal dominant Alzheimer disease. medRxiv 2023:2023.03.21.23287468. [PMID: 37016671 PMCID: PMC10071836 DOI: 10.1101/2023.03.21.23287468] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/06/2023]
Abstract
Brain development and maturation leads to grey matter networks that can be measured using magnetic resonance imaging. Network integrity is an indicator of information processing capacity which declines in neurodegenerative disorders such as Alzheimer disease (AD). The biological mechanisms causing this loss of network integrity remain unknown. Cerebrospinal fluid (CSF) protein biomarkers are available for studying diverse pathological mechanisms in humans and can provide insight into decline. We investigated the relationships between 10 CSF proteins and network integrity in mutation carriers (N=219) and noncarriers (N=136) of the Dominantly Inherited Alzheimer Network Observational study. Abnormalities in Aβ, Tau, synaptic (SNAP-25, neurogranin) and neuronal calcium-sensor protein (VILIP-1) preceded grey matter network disruptions by several years, while inflammation related (YKL-40) and axonal injury (NfL) abnormalities co-occurred and correlated with network integrity. This suggests that axonal loss and inflammation play a role in structural grey matter network changes. Key points Abnormal levels of fluid markers for neuronal damage and inflammatory processes in CSF are associated with grey matter network disruptions.The strongest association was with NfL, suggesting that axonal loss may contribute to disrupted network organization as observed in AD.Tracking biomarker trajectories over the disease course, changes in CSF biomarkers generally precede changes in brain networks by several years.
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Rahmani F, Jindal S, Raji CA, Wang W, Nazeri A, Perez-Carrillo GG, Miller-Thomas MM, Graner P, Marechal B, Shah A, Zimmermann M, Chen CD, Keefe S, LaMontagne P, Benzinger TLS. Validity Assessment of an Automated Brain Morphometry Tool for Patients with De Novo Memory Symptoms. AJNR Am J Neuroradiol 2023; 44:261-267. [PMID: 36797031 PMCID: PMC10187815 DOI: 10.3174/ajnr.a7790] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2022] [Accepted: 01/09/2023] [Indexed: 02/18/2023]
Abstract
BACKGROUND AND PURPOSE Automated volumetric analysis of structural MR imaging allows quantitative assessment of brain atrophy in neurodegenerative disorders. We compared the brain segmentation performance of the AI-Rad Companion brain MR imaging software against an in-house FreeSurfer 7.1.1/Individual Longitudinal Participant pipeline. MATERIALS AND METHODS T1-weighted images of 45 participants with de novo memory symptoms were selected from the OASIS-4 database and analyzed through the AI-Rad Companion brain MR imaging tool and the FreeSurfer 7.1.1/Individual Longitudinal Participant pipeline. Correlation, agreement, and consistency between the 2 tools were compared among the absolute, normalized, and standardized volumes. Final reports generated by each tool were used to compare the rates of detection of abnormality and the compatibility of radiologic impressions made using each tool, compared with the clinical diagnoses. RESULTS We observed strong correlation, moderate consistency, and poor agreement between absolute volumes of the main cortical lobes and subcortical structures measured by the AI-Rad Companion brain MR imaging tool compared with FreeSurfer. The strength of the correlations increased after normalizing the measurements to the total intracranial volume. Standardized measurements differed significantly between the 2 tools, likely owing to differences in the normative data sets used to calibrate each tool. When considering the FreeSurfer 7.1.1/Individual Longitudinal Participant pipeline as a reference standard, the AI-Rad Companion brain MR imaging tool had a specificity of 90.6%-100% and a sensitivity of 64.3%-100% in detecting volumetric abnormalities. There was no difference between the rate of compatibility of radiologic and clinical impressions when using the 2 tools. CONCLUSIONS The AI-Rad Companion brain MR imaging tool reliably detects atrophy in cortical and subcortical regions implicated in the differential diagnosis of dementia.
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Affiliation(s)
- F Rahmani
- From the Mallinckrodt Institute of Radiology, Division of Neuroradiology (F.R., S.J., C.A.R., W.W., A.N., G.G.P.-C., M.M.M.-T., C.D.C., S.K., P.L., T.L.S.B.)
- Charles F. and Joanne Knight Alzheimer Disease Research Center (F.R., S.J., C.A.R., W.W., A.N., C.D.C., T.L.S.B.), Washington University in St. Louis, St. Lous, Missouri
| | - S Jindal
- From the Mallinckrodt Institute of Radiology, Division of Neuroradiology (F.R., S.J., C.A.R., W.W., A.N., G.G.P.-C., M.M.M.-T., C.D.C., S.K., P.L., T.L.S.B.)
- Charles F. and Joanne Knight Alzheimer Disease Research Center (F.R., S.J., C.A.R., W.W., A.N., C.D.C., T.L.S.B.), Washington University in St. Louis, St. Lous, Missouri
| | - C A Raji
- From the Mallinckrodt Institute of Radiology, Division of Neuroradiology (F.R., S.J., C.A.R., W.W., A.N., G.G.P.-C., M.M.M.-T., C.D.C., S.K., P.L., T.L.S.B.)
- Charles F. and Joanne Knight Alzheimer Disease Research Center (F.R., S.J., C.A.R., W.W., A.N., C.D.C., T.L.S.B.), Washington University in St. Louis, St. Lous, Missouri
| | - W Wang
- From the Mallinckrodt Institute of Radiology, Division of Neuroradiology (F.R., S.J., C.A.R., W.W., A.N., G.G.P.-C., M.M.M.-T., C.D.C., S.K., P.L., T.L.S.B.)
- Charles F. and Joanne Knight Alzheimer Disease Research Center (F.R., S.J., C.A.R., W.W., A.N., C.D.C., T.L.S.B.), Washington University in St. Louis, St. Lous, Missouri
| | - A Nazeri
- From the Mallinckrodt Institute of Radiology, Division of Neuroradiology (F.R., S.J., C.A.R., W.W., A.N., G.G.P.-C., M.M.M.-T., C.D.C., S.K., P.L., T.L.S.B.)
- Charles F. and Joanne Knight Alzheimer Disease Research Center (F.R., S.J., C.A.R., W.W., A.N., C.D.C., T.L.S.B.), Washington University in St. Louis, St. Lous, Missouri
| | - G G Perez-Carrillo
- From the Mallinckrodt Institute of Radiology, Division of Neuroradiology (F.R., S.J., C.A.R., W.W., A.N., G.G.P.-C., M.M.M.-T., C.D.C., S.K., P.L., T.L.S.B.)
| | - M M Miller-Thomas
- From the Mallinckrodt Institute of Radiology, Division of Neuroradiology (F.R., S.J., C.A.R., W.W., A.N., G.G.P.-C., M.M.M.-T., C.D.C., S.K., P.L., T.L.S.B.)
| | - P Graner
- Siemens Medical Solutions (P.G., B.M., M.Z.), Malvern, Pennsylvania
- Advanced Clinical Imaging Technology (P.G., B.M., M.Z.), Siemens Healthcare, Lausanne, Switzerland
- Department of Radiology (P.G., B.M., M.Z.), Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
- LTS5, École Polytechnique Fédérale de Lausanne (P.G., B.M., A.S., M.Z.), Lausanne, Switzerland
- Siemens Healthcare (P.G., B.M., M.Z.), Erlangen, Germany
| | - B Marechal
- Siemens Medical Solutions (P.G., B.M., M.Z.), Malvern, Pennsylvania
- Advanced Clinical Imaging Technology (P.G., B.M., M.Z.), Siemens Healthcare, Lausanne, Switzerland
- Department of Radiology (P.G., B.M., M.Z.), Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
- LTS5, École Polytechnique Fédérale de Lausanne (P.G., B.M., A.S., M.Z.), Lausanne, Switzerland
- Siemens Healthcare (P.G., B.M., M.Z.), Erlangen, Germany
| | - A Shah
- LTS5, École Polytechnique Fédérale de Lausanne (P.G., B.M., A.S., M.Z.), Lausanne, Switzerland
| | - M Zimmermann
- Siemens Medical Solutions (P.G., B.M., M.Z.), Malvern, Pennsylvania
- Advanced Clinical Imaging Technology (P.G., B.M., M.Z.), Siemens Healthcare, Lausanne, Switzerland
- Department of Radiology (P.G., B.M., M.Z.), Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
- LTS5, École Polytechnique Fédérale de Lausanne (P.G., B.M., A.S., M.Z.), Lausanne, Switzerland
- Siemens Healthcare (P.G., B.M., M.Z.), Erlangen, Germany
| | - C D Chen
- From the Mallinckrodt Institute of Radiology, Division of Neuroradiology (F.R., S.J., C.A.R., W.W., A.N., G.G.P.-C., M.M.M.-T., C.D.C., S.K., P.L., T.L.S.B.)
- Charles F. and Joanne Knight Alzheimer Disease Research Center (F.R., S.J., C.A.R., W.W., A.N., C.D.C., T.L.S.B.), Washington University in St. Louis, St. Lous, Missouri
| | - S Keefe
- From the Mallinckrodt Institute of Radiology, Division of Neuroradiology (F.R., S.J., C.A.R., W.W., A.N., G.G.P.-C., M.M.M.-T., C.D.C., S.K., P.L., T.L.S.B.)
| | - P LaMontagne
- From the Mallinckrodt Institute of Radiology, Division of Neuroradiology (F.R., S.J., C.A.R., W.W., A.N., G.G.P.-C., M.M.M.-T., C.D.C., S.K., P.L., T.L.S.B.)
| | - T L S Benzinger
- From the Mallinckrodt Institute of Radiology, Division of Neuroradiology (F.R., S.J., C.A.R., W.W., A.N., G.G.P.-C., M.M.M.-T., C.D.C., S.K., P.L., T.L.S.B.)
- Charles F. and Joanne Knight Alzheimer Disease Research Center (F.R., S.J., C.A.R., W.W., A.N., C.D.C., T.L.S.B.), Washington University in St. Louis, St. Lous, Missouri
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4
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Ly CV, Koenig L, Christensen J, Gordon B, Beaumont H, Dahiya S, Chen J, Su Y, Nelson B, Jockel-Balsarotti J, Drain C, Jerome G, Morris JC, Fagan AM, Harms MB, Benzinger TLS, Miller TM, Ances BM. Tau positron emission tomography imaging in C9orf72 repeat expansion carriers. Eur J Neurol 2019; 26:1235-1239. [PMID: 30790403 PMCID: PMC6684398 DOI: 10.1111/ene.13940] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2018] [Accepted: 01/21/2019] [Indexed: 01/06/2023]
Abstract
BACKGROUND AND PURPOSE AV-1451 (18 F-AV-1451, flortaucipir) positron emission tomography was performed in C9orf72 expansion carriers to assess tau accumulation and disease manifestation. METHODS Nine clinically characterized C9orf72 expansion carriers and 18 age- and gender- matched cognitively normal individuals were psychometrically evaluated and underwent tau positron emission tomography imaging. The regional AV-1451 standard uptake value ratios from multiple brain regions were analyzed. Spearman correlation was performed to relate the AV-1451 standard uptake value ratio to clinical, psychometric and cerebrospinal fluid measures. RESULTS C9orf72 expansion carriers had increased AV-1451 binding in the entorhinal cortex compared to controls. Primary age-related tauopathy was observed postmortem in one patient. AV-1451 uptake did not correlate with clinical severity, disease duration, psychometric performance or cerebrospinal fluid markers. CONCLUSION C9orf72 expansion carriers exhibited increased AV-1451 uptake in entorhinal cortex compared to cognitively normal controls, suggesting a propensity for primary age-related tauopathy. However, AV-1451 accumulation was not associated with psychometric performance in our cohort.
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Affiliation(s)
- C V Ly
- Department of Neurology, Washington University, Saint Louis, MO, USA
| | - L Koenig
- Department of Radiology, Washington University, Saint Louis, MO, USA
| | - J Christensen
- Department of Radiology, Washington University, Saint Louis, MO, USA
| | - B Gordon
- Department of Radiology, Washington University, Saint Louis, MO, USA
- Knight Alzheimer's Disease Research Center, Washington University, Saint Louis, MO, USA
| | - H Beaumont
- Department of Neurology, Washington University, Saint Louis, MO, USA
| | - S Dahiya
- Department of Pathology and Immunology, Washington University, Saint Louis, MO, USA
| | - J Chen
- Department of Pathology and Immunology, Washington University, Saint Louis, MO, USA
| | - Y Su
- Banner Alzheimer's Institute, Phoenix, AZ, USA
| | - B Nelson
- Department of Neurology, Washington University, Saint Louis, MO, USA
| | | | - C Drain
- Department of Neurology, Washington University, Saint Louis, MO, USA
| | - G Jerome
- Department of Neurology, Washington University, Saint Louis, MO, USA
| | - J C Morris
- Department of Neurology, Washington University, Saint Louis, MO, USA
- Knight Alzheimer's Disease Research Center, Washington University, Saint Louis, MO, USA
| | - A M Fagan
- Department of Neurology, Washington University, Saint Louis, MO, USA
- Knight Alzheimer's Disease Research Center, Washington University, Saint Louis, MO, USA
- Hope Center for Neurological Disorders, Washington University, Saint Louis, MO, USA
| | - M B Harms
- Department of Neurology, Columbia University, New York, NY, USA
| | - T L S Benzinger
- Department of Radiology, Washington University, Saint Louis, MO, USA
- Knight Alzheimer's Disease Research Center, Washington University, Saint Louis, MO, USA
- Department of Neurosurgery, Washington University, Saint Louis, MO, USA
| | - T M Miller
- Department of Neurology, Washington University, Saint Louis, MO, USA
- Hope Center for Neurological Disorders, Washington University, Saint Louis, MO, USA
| | - B M Ances
- Department of Neurology, Washington University, Saint Louis, MO, USA
- Department of Radiology, Washington University, Saint Louis, MO, USA
- Knight Alzheimer's Disease Research Center, Washington University, Saint Louis, MO, USA
- Hope Center for Neurological Disorders, Washington University, Saint Louis, MO, USA
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5
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Lee S, Zimmerman ME, Viqar F, Narkhede A, Tosto G, Lee Smith Benzinger T, Marcus DS, Goate AM, Fox NC, Cairns NJ, Holtzman DM, Buckles V, Ghetti B, McDade E, Martins RN, Saykin AJ, Masters CL, Ringman JM, Ryan NS, Förster S, Laske C, Schofield PR, Sperling RA, Salloway S, Correia S, Weiner MW, Bateman R, Morris JC, Jack CR, Mayeux R, Brickman AM. O2‐03‐02: are White Matter Hyperintensities a Core Feature of Alzheimer’s Disease or Just a Reflection of Amyloid Angiopathy? Evidence From the Dominantly Inherited Alzheimer Network (DIAN). Alzheimers Dement 2016. [DOI: 10.1016/j.jalz.2016.06.406] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Affiliation(s)
- Seonjoo Lee
- New York State Psychiatric Institute, Columbia University Medical CenterNew YorkNY USA
| | - Molly E. Zimmerman
- Fordham UniversityNew YorkNY USA
- Albert Einstein College of MedicineBronxNY USA
| | | | | | | | | | | | | | - Nick C. Fox
- University College LondonLondonUnited Kingdom
| | - Nigel J. Cairns
- Washington University School of MedicineSt. LouisMO USA
- Knight Alzheimer's Disease Research CenterSt. LouisMO USA
| | | | - Virginia Buckles
- Knight Alzheimer Disease Research Center, Washington University School of MedicineSt. LouisMO USA
| | | | - Eric McDade
- Washington University at St. LouisSt. LouisMO USA
| | - Ralph N. Martins
- Sir James McCusker Alzheimer’s Disease Research Unit (Hollywood Private Hospital)PerthAustralia
| | | | - Colin L. Masters
- The Florey Institute of Neuroscience and Mental HealthMelbourneAustralia
| | | | | | | | - Christoph Laske
- Department of Psychiatry and Psychotherapy University of TübingenTübingenGermany
| | - Peter R. Schofield
- 19. Neuroscience Research Australia and University of New South WalesSydneyAustralia
| | - Reisa A. Sperling
- Department of Neurology Massachusetts General Hospital, Harvard Medical SchoolBostonMA USA
| | - Stephen Salloway
- Butler Hospital & Alpert Medical School of Brown UniversityProvidenceRI USA
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6
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Ances B, Brier MR, Gordon BA, Friedrichsen KA, McCarthy JE, Stern A, Christensen J, Owen CJ, Aldea P, Su Y, Hassenstab J, Cairns NJ, Holtzman DM, Fagan AM, Morris JC, Lee Smith Benzinger T. IC‐P‐179: TAU Imaging Relationships With Amyloid B Imaging, CSF TAU/AB
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, and Cognition in Alzheimer’s Disease. Alzheimers Dement 2016. [DOI: 10.1016/j.jalz.2016.06.210] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- Beau Ances
- Washington University School of MedicineSt. LouisMO USA
| | | | | | | | | | - Ari Stern
- Washington University in St. LouisSaint LouisMO USA
| | - Jon Christensen
- Washington University in St. Louis School of MedicineSt. LouisMO USA
| | | | | | - Yi Su
- Washington University in St. Louis School of MedicineSt. LouisMO USA
| | - Jason Hassenstab
- Knight Alzheimer Disease Research CenterSt. LouisMO USA
- Washington University School of MedicineSt LouisMO USA
| | | | | | - Anne M. Fagan
- Washington University School of MedicineSt. LouisMO USA
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7
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Bateman R, Lee Smith Benzinger T, Berry S, Clifford D, Fagan AM, Duggan C, Fanning K, Goate AM, Hassenstab J, McDade E, Mills S, Morris JC, Salloway S, Farlow MR, Santacruz A, Wang G, Xiong C. F4‐03‐02: The Dominantly Inherited Alzheimer Network Trials Unit. Alzheimers Dement 2016. [DOI: 10.1016/j.jalz.2016.06.597] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
| | | | | | | | - Anne M. Fagan
- Washington University School of MedicineSt. LouisMO USA
- Knight Alzheimer's Disease Research CenterSt. LouisMO USA
| | | | | | - Alison M. Goate
- Knight Alzheimer Disease Research CenterSt. LouisMO USA
- Icahn School of Medicine at Mount SinaiNew YorkNY USA
| | | | - Eric McDade
- Washington University School of MedicineSt. LouisMO USA
- Knight Alzheimer Disease Research CenterSt. LouisMO USA
| | - Susan Mills
- Washington University School of MedicineSt. LouisMO USA
| | - John C. Morris
- Washington University School of MedicineSt. LouisMO USA
- Knight Alzheimer's Disease Research CenterSt. LouisMO USA
| | - Stephen Salloway
- Butler Hospital & Alpert Medical School of Brown UniversityProvidenceRI USA
| | - Martin R. Farlow
- Indiana Alzheimer Disease CenterIndianapolisIN USA
- Indiana University School of MedicineIndianapolisIN USA
| | | | - Guoqiao Wang
- Knight Alzheimer Disease Research CenterSt. LouisMO USA
- Division of Biostatistics Washington University School of MedicineSt. LouisMO USA
| | - Chengjie Xiong
- Washington University School of MedicineSt. LouisMO USA
- Knight Alzheimer Disease Research CenterSt. LouisMO USA
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8
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Lim YY, Hassenstab J, Cruchaga C, Goate AM, Fagan AM, Lee Smith Benzinger T, Maruff P, Snyder PJ, Masters CL, Ricardo A, Chhatwal JP, Farlow MR, Graff-Radford NR, Laske C, Levin J, McDade E, Ringman JM, Rossor MN, Salloway S, Schofield PW, Holtzman DM, Morris JC, Bateman R. F5‐02‐03: BDNF VAL66MET Moderates Cognitive Impairment, Neuronal Dysfunction and TAU in Preclinical Autosomal Dominant Alzheimer's Disease. Alzheimers Dement 2016. [DOI: 10.1016/j.jalz.2016.06.689] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Affiliation(s)
- Yen Ying Lim
- The Florey Institute, The University of MelbourneParkvilleAustralia
| | | | | | - Alison M. Goate
- Icahn School of Medicine at Mount SinaiNew YorkNY USA
- Washington UniversitySaint LouisMO USA
| | - Anne M. Fagan
- Washington University School of MedicineSt. LouisMO USA
| | | | - Paul Maruff
- Cogstate Ltd.MelbourneAustralia
- The Florey Institutes of Neurosciences and Mental HealthMelbourneAustralia
| | | | - Colin L. Masters
- The Florey Institute of Neuroscience and Mental HealthMelbourneAustralia
| | - Allegri Ricardo
- Instituto de Investigaciones NeurologicasBuenos AiresArgentina
| | - Jasmeer P. Chhatwal
- Massachusetts General Hospital and the Athinoula A Martinos Center for Biomedical ImagingBostonMA USA
| | | | | | - Christoph Laske
- Department of Psychiatry and Psychotherapy University of TübingenTübingenGermany
| | | | - Eric McDade
- Washington University at St. LouisSt. LouisMO USA
| | | | | | - Stephen Salloway
- Butler Hospital & Alpert Medical School of Brown UniversityProvidenceRI USA
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9
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Roe CM, Barco PP, Head DM, Ghoshal N, Selsor N, Babulal GM, Fierberg R, Vernon EK, Shulman N, Johnson A, Fague MS, Xiong C, Grant E, Campbell A, Holtzman DM, Lee Smith Benzinger T, Fagan A, Carr DB, Morris JC. P2‐130: Amyloid imaging and cerebrospinal fluid biomarkers predict driving performance in preclinical Alzheimer's disease. Alzheimers Dement 2015. [DOI: 10.1016/j.jalz.2015.06.668] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Affiliation(s)
| | | | | | - Nupur Ghoshal
- Washington University School of MedicineSt. LouisMOUSA
| | | | | | | | | | | | - Ann Johnson
- Washington University School of MedicineSt. LouisMOUSA
| | | | | | | | | | | | | | - Anne Fagan
- Washington University School of MedicineSt. LouisMOUSA
| | - David B. Carr
- Washington University School of MedicineSt. LouisMOUSA
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Jagadeesan BD, Cross DT, Delgado Almandoz JE, Derdeyn CP, Loy DN, McKinstry RC, Benzinger TLS, Moran CJ. Susceptibility-weighted imaging: a new tool in the diagnosis and evaluation of abnormalities of the vein of Galen in children. AJNR Am J Neuroradiol 2012; 33:1747-51. [PMID: 22517286 DOI: 10.3174/ajnr.a3058] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/14/2023]
Abstract
We retrospectively identified 9 consecutive children, 3 males and 6 females (age 5.2 ± 6.3 years, range 1 day to 18 years), with known or suspected AVGs who underwent MR imaging, including SWI, at our institution between January 2007 and March 2011. On the SWI sequence, arterialized blood flow was considered to be present in the vein of Galen or its tributaries when these showed abnormal signal hyperintensity from arteriovenous shunting. SWI findings were correlated with findings from DSA studies or findings from time-of-flight or contrast-enhanced MR angiography sequences. SWI was found to accurately differentiate between high-flow and low-flow AVGs and was also useful in characterizing the arterial supply and venous drainage patterns associated with high-flow AVGs.
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Affiliation(s)
- B D Jagadeesan
- Section of Neuroradiology, Mallinckrodt Institute of Radiology, Washington University, Saint Louis, Missouri, USA.
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