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Vibholm AK, Dietz MJ, Beniczky S, Christensen J, Højlund A, Jacobsen J, Bender D, Møller A, Brooks DJ. Activated N-methyl-D-aspartate receptor ion channels detected in focal epilepsy with [ 18 F]GE-179 positron emission tomography. Epilepsia 2021; 62:2899-2908. [PMID: 34558066 DOI: 10.1111/epi.17074] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2021] [Revised: 09/03/2021] [Accepted: 09/03/2021] [Indexed: 11/29/2022]
Abstract
OBJECTIVE Imaging activated glutamate N-methyl-D-aspartate receptor ion channels (NMDAR-ICs) using positron emission tomography (PET) has proved challenging due to low brain uptake, poor affinity and selectivity, and high metabolism and dissociation rates of candidate radioligands. The radioligand [18 F]GE-179 is a known use-dependent marker of NMDAR-ICs. We studied whether interictal [18 F]GE-179 PET would detect foci of abnormal NMDAR-IC activation in patients with refractory focal epilepsy. METHODS Ten patients with refractory focal epilepsy and 18 healthy controls had structural magnetic resonance imaging (MRI) followed by a 90-min dynamic [18 F]GE-179 PET scan with simultaneous electroencephalography (EEG). PET and EEG findings were compared with MRI and previous EEGs. Standard uptake value (SUV) images of [18 F]GE-179 were generated and global gray matter uptake was measured for each individual. To localize focal increases in uptake of [18 F]GE-179, the individual SUV images were interrogated with statistical parametric mapping in comparison to a normal database. Additionally, individual healthy control SUV images were compared with the rest of the control database to determine their prevalence of increased focal [18 F]GE-179 uptake. RESULTS Interictal [18 F]GE-179 PET detected clusters of significantly increased binding in eight of 10 patients with focal epilepsy but none of the controls. The number of clusters of raised [18 F]GE-179 uptake in the patients with epilepsy exceeded the focal abnormalities revealed by the simultaneously recorded EEG. Patients with extensive clusters of raised [18 F]GE-179 uptake showed the most abnormal EEGs. SIGNIFICANCE Detection of multiple foci of abnormal NMDAR-IC activation in 80% of our patients with refractory focal epilepsy using interictal [18 F]GE-179 PET could reflect enhanced neuronal excitability due to chronic seizure activity. This indicates that chronic epileptic activity is associated with abnormal NMDAR ion channel activation beyond the initial irritative zones. [18 F]GE-179 PET could be a candidate marker for identifying pathological brain areas in patients with treatment-resistant focal epilepsy.
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Affiliation(s)
- Ali K Vibholm
- Department of Nuclear Medicine and PET Center, Institute of Clinical Medicine, Aarhus University and University Hospital, Aarhus, Denmark
| | - Martin J Dietz
- Center of Functionally Integrative Neuroscience, Institute of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - Sándor Beniczky
- Department of Clinical Neurophysiology, Danish Epilepsy Center and Aarhus University, Dianalund, Denmark
| | - Jakob Christensen
- Department of Neurology, Aarhus University Hospital, Aarhus, Denmark.,National Center for Register-Based Research, Department of Economics and Business Economics, School of Business and Social Sciences, Aarhus University, Aarhus, Denmark
| | - Andreas Højlund
- Center of Functionally Integrative Neuroscience, Institute of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - Jan Jacobsen
- Department of Nuclear Medicine and PET Center, Institute of Clinical Medicine, Aarhus University and University Hospital, Aarhus, Denmark
| | - Dirk Bender
- Department of Nuclear Medicine and PET Center, Institute of Clinical Medicine, Aarhus University and University Hospital, Aarhus, Denmark
| | - Arne Møller
- Department of Nuclear Medicine and PET Center, Institute of Clinical Medicine, Aarhus University and University Hospital, Aarhus, Denmark.,Center of Functionally Integrative Neuroscience, Institute of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - David J Brooks
- Department of Nuclear Medicine and PET Center, Institute of Clinical Medicine, Aarhus University and University Hospital, Aarhus, Denmark.,Translational and Clinical Research Institute, Newcastle University, Newcastle Upon Tyne, UK
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252
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Mérida I, Jung J, Bouvard S, Le Bars D, Lancelot S, Lavenne F, Bouillot C, Redouté J, Hammers A, Costes N. CERMEP-IDB-MRXFDG: a database of 37 normal adult human brain [ 18F]FDG PET, T1 and FLAIR MRI, and CT images available for research. EJNMMI Res 2021; 11:91. [PMID: 34529159 PMCID: PMC8446124 DOI: 10.1186/s13550-021-00830-6] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2021] [Accepted: 08/15/2021] [Indexed: 01/05/2023] Open
Abstract
We present a database of cerebral PET FDG and anatomical MRI for 37 normal adult human subjects (CERMEP-IDB-MRXFDG). Thirty-nine participants underwent static [18F]FDG PET/CT and MRI, resulting in [18F]FDG PET, T1 MPRAGE MRI, FLAIR MRI, and CT images. Two participants were excluded after visual quality control. We describe the acquisition parameters, the image processing pipeline and provide participants' individual demographics (mean age 38 ± 11.5 years, range 23-65, 20 women). Volumetric analysis of the 37 T1 MRIs showed results in line with the literature. A leave-one-out assessment of the 37 FDG images using Statistical Parametric Mapping (SPM) yielded a low number of false positives after exclusion of artefacts. The database is stored in three different formats, following the BIDS common specification: (1) DICOM (data not processed), (2) NIFTI (multimodal images coregistered to PET subject space), (3) NIFTI normalized (images normalized to MNI space). Bona fide researchers can request access to the database via a short form.
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Affiliation(s)
- Inés Mérida
- CERMEP-Imagerie du Vivant, Lyon, France.
- CHU de Lyon HCL - GH Est, 59 Boulevard Pinel., 69677, Bron Cedex, France.
| | - Julien Jung
- INSERM U1028/CNRS UMR5292, Lyon Neuroscience Research Center, Lyon, France
- Hospices Civils de Lyon, University Hospitals, Lyon, France
| | - Sandrine Bouvard
- Université Claude Bernard Lyon 1, Lyon Neuroscience Research Center, INSERM, CNRS, Lyon, France
| | - Didier Le Bars
- CERMEP-Imagerie du Vivant, Lyon, France
- Hospices Civils de Lyon, University Hospitals, Lyon, France
| | - Sophie Lancelot
- CERMEP-Imagerie du Vivant, Lyon, France
- INSERM U1028/CNRS UMR5292, Lyon Neuroscience Research Center, Lyon, France
- Hospices Civils de Lyon, University Hospitals, Lyon, France
| | | | | | | | - Alexander Hammers
- School of Biomedical Engineering and Imaging Sciences, Kings' College London, King's College London and Guy's and St Thomas' PET Centre, London, UK
- Neurodis Foundation, Lyon, France
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253
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Colato E, Chiotis K, Ferreira D, Mazrina MS, Lemoine L, Mohanty R, Westman E, Nordberg A, Rodriguez-Vieitez E. Assessment of Tau Pathology as Measured by 18F-THK5317 and 18F-Flortaucipir PET and Their Relation to Brain Atrophy and Cognition in Alzheimer's Disease. J Alzheimers Dis 2021; 84:103-117. [PMID: 34511502 PMCID: PMC8609906 DOI: 10.3233/jad-210614] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND In Alzheimer's disease (AD), the abnormal aggregation of hyperphosphorylated tau leads to synaptic dysfunction and neurodegeneration. Recently developed tau PET imaging tracers are candidate biomarkers for diagnosis and staging of AD. OBJECTIVE We aimed to investigate the discriminative ability of 18F-THK5317 and 18F-flortaucipir tracers and brain atrophy at different stages of AD, and their respective associations with cognition. METHODS Two cohorts, each including 29 participants (healthy controls [HC], prodromal AD, and AD dementia patients), underwent 18F-THK5317 or 18F-flortaucipir PET, T1-weighted MRI, and neuropsychological assessment. For each subject, we quantified regional 18F-THK5317 and 18F-flortaucipir uptake within six bilateral and two composite regions of interest. We assessed global brain atrophy for each individual by quantifying the brain volume index, a measure of brain volume-to-cerebrospinal fluid ratio. We then quantified the discriminative ability of regional 18F-THK5317, 18F-flortaucipir, and brain volume index between diagnostic groups, and their associations with cognition in patients. RESULTS Both 18F-THK5317 and 18F-flortaucipir outperformed global brain atrophy in discriminating between HC and both prodromal AD and AD dementia groups. 18F-THK5317 provided the highest discriminative ability between HC and prodromal AD groups. 18F-flortaucipir performed best at discriminating between prodromal and dementia stages of AD. Across all patients, both tau tracers were predictive of RAVL learning, but only 18F-flortaucipir predicted MMSE. CONCLUSION Our results warrant further in vivo head-to-head and antemortem-postmortem evaluations. These validation studies are needed to select tracers with high clinical validity as biomarkers for early diagnosis, prognosis, and disease staging, which will facilitate their incorporation in clinical practice and therapeutic trials.
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Affiliation(s)
- Elisa Colato
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
| | - Konstantinos Chiotis
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden.,Department of Neurology, Karolinska University Hospital, Stockholm, Sweden
| | - Daniel Ferreira
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
| | - Mariam S Mazrina
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
| | - Laetitia Lemoine
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
| | - Rosaleena Mohanty
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
| | - Eric Westman
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
| | - Agneta Nordberg
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden.,Theme Aging, Karolinska University Hospital, Stockholm, Sweden
| | - Elena Rodriguez-Vieitez
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
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Maillet A, Météreau E, Tremblay L, Favre E, Klinger H, Lhommée E, Le Bars D, Castrioto A, Prange S, Sgambato V, Broussolle E, Krack P, Thobois S. Serotonergic and Dopaminergic Lesions Underlying Parkinsonian Neuropsychiatric Signs. Mov Disord 2021; 36:2888-2900. [PMID: 34494685 DOI: 10.1002/mds.28722] [Citation(s) in RCA: 39] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2020] [Revised: 05/29/2021] [Accepted: 06/14/2021] [Indexed: 12/28/2022] Open
Abstract
BACKGROUND Parkinson's disease (PD) is characterized by heterogeneous motor and nonmotor manifestations related to alterations in monoaminergic neurotransmission systems. Nevertheless, the characterization of concomitant dopaminergic and serotonergic dysfunction after different durations of Parkinson's disease, as well as their respective involvement in the expression and severity of neuropsychiatric signs, has gained little attention so far. METHODS To fill this gap, we conducted a cross-sectional study combining clinical and dual-tracer positron emission tomography (PET) neuroimaging approaches, using radioligands of dopamine ([11 C]-N-(3-iodoprop-2E-enyl)-2-beta-carbomethoxy-3-beta-(4-methylphenyl)-nortropane) ([11 C]PE2I) and serotonin ([11 C]-N,N-dimethyl-2-(-2-amino-4-cyanophenylthio)-benzylamine) ([11 C]DASB) reuptake, after different durations of Parkinson's disease (ie, in short-disease duration drug-naive de novo (n = 27, 0-2 years-duration), suffering from apathy (n = 14) or not (n = 13); intermediate-disease duration (n = 15, 4-7 years-duration) and long-disease duration, non-demented (n = 15, 8-10 years-duration) patients). Fifteen age-matched healthy subjects were also enrolled. RESULTS The main findings are threefold: (1) both dopaminergic and serotonergic lesions worsen with the duration of Parkinson's disease, spreading from midbrain/subcortical to cortical regions; (2) the presence of apathy at PD onset is associated with more severe cortical and subcortical serotonergic and dopaminergic disruption, similar to the denervation pattern observed in intermediate-disease duration patients; and (3) the severity of parkinsonian apathy, depression, and trait-anxiety appears primarily related to serotonergic alteration within corticostriatal limbic areas. CONCLUSIONS Altogether, these findings highlight the prominent role of serotonergic degeneration in the expression of several neuropsychiatric symptoms occurring after different durations of Parkinson's disease. © 2021 International Parkinson and Movement Disorder Society.
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Affiliation(s)
- Audrey Maillet
- CNRS, Institut des Sciences Cognitives Marc Jeannerod, UMR 5229 CNRS, Lyon, France.,Université Claude Bernard Lyon I, Lyon, France
| | - Elise Météreau
- CNRS, Institut des Sciences Cognitives Marc Jeannerod, UMR 5229 CNRS, Lyon, France.,Université Claude Bernard Lyon I, Lyon, France.,Hospices Civils de Lyon, Hôpital Neurologique Pierre Wertheimer, Service de Neurologie C, Lyon, France
| | - Léon Tremblay
- CNRS, Institut des Sciences Cognitives Marc Jeannerod, UMR 5229 CNRS, Lyon, France.,Université Claude Bernard Lyon I, Lyon, France
| | - Emilie Favre
- Hospices Civils de Lyon, Hôpital Neurologique Pierre Wertheimer, Service de Neurologie C, Lyon, France.,Genopsy, Centre Hospitalier Le Vinatier, Lyon, France
| | - Hélène Klinger
- Hospices Civils de Lyon, Hôpital Neurologique Pierre Wertheimer, Service de Neurologie C, Lyon, France
| | - Eugénie Lhommée
- Université Grenoble Alpes, Grenoble Institut des Neurosciences, Inserm U1216, Grenoble, France.,Unité des Troubles du Mouvement, Département de Neurologie, CHU de Grenoble, Grenoble, France
| | - Didier Le Bars
- CERMEP, Imagerie du Vivant, Lyon, France.,Institut de Chimie et de Biochimie Moléculaires et Supramoléculaires, UMR 5246 CNRS, Université Claude Bernard Lyon I, Lyon, France
| | - Anna Castrioto
- Université Grenoble Alpes, Grenoble Institut des Neurosciences, Inserm U1216, Grenoble, France.,Unité des Troubles du Mouvement, Département de Neurologie, CHU de Grenoble, Grenoble, France
| | - Stéphane Prange
- CNRS, Institut des Sciences Cognitives Marc Jeannerod, UMR 5229 CNRS, Lyon, France.,Université Claude Bernard Lyon I, Lyon, France.,Faculté de médecine Lyon Sud Charles Mérieux, Univ Lyon, Université Claude Bernard Lyon I, Lyon, France
| | - Véronique Sgambato
- CNRS, Institut des Sciences Cognitives Marc Jeannerod, UMR 5229 CNRS, Lyon, France.,Université Claude Bernard Lyon I, Lyon, France
| | - Emmanuel Broussolle
- CNRS, Institut des Sciences Cognitives Marc Jeannerod, UMR 5229 CNRS, Lyon, France.,Université Claude Bernard Lyon I, Lyon, France.,Faculté de médecine Lyon Sud Charles Mérieux, Univ Lyon, Université Claude Bernard Lyon I, Lyon, France
| | - Paul Krack
- Université Grenoble Alpes, Grenoble Institut des Neurosciences, Inserm U1216, Grenoble, France.,Unité des Troubles du Mouvement, Département de Neurologie, CHU de Grenoble, Grenoble, France.,Department of Neurology, Center for Parkinson's Disease and Movement Disorders, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Stéphane Thobois
- CNRS, Institut des Sciences Cognitives Marc Jeannerod, UMR 5229 CNRS, Lyon, France.,Université Claude Bernard Lyon I, Lyon, France.,Faculté de médecine Lyon Sud Charles Mérieux, Univ Lyon, Université Claude Bernard Lyon I, Lyon, France
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255
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Wolters EE, Papma JM, Verfaillie SCJ, Visser D, Weltings E, Groot C, van der Ende EL, Giannini LAA, Tuncel H, Timmers T, Boellaard R, Yaqub M, van Assema DME, Kuijper DA, Segbers M, Rozemuller AJM, Barkhof F, Windhorst AD, van der Flier WM, Pijnenburg YAL, Scheltens P, van Berckel BNM, van Swieten JC, Ossenkoppele R, Seelaar H. [ 18F]Flortaucipir PET Across Various MAPT Mutations in Presymptomatic and Symptomatic Carriers. Neurology 2021; 97:e1017-e1030. [PMID: 34210823 PMCID: PMC8448551 DOI: 10.1212/wnl.0000000000012448] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2021] [Accepted: 06/07/2021] [Indexed: 11/15/2022] Open
Abstract
OBJECTIVE To assess the [18F]flortaucipir binding distribution across MAPT mutations in presymptomatic and symptomatic carriers. METHODS We compared regional [18F]flortaucipir binding potential (BPND) derived from a 130-minute dynamic [18F]flortaucipir PET scan in 9 (pre)symptomatic MAPT mutation carriers (4 with P301L [1 symptomatic], 2 with R406W [1 symptomatic], 1 presymptomatic L315R, 1 presymptomatic S320F, and 1 symptomatic G272V carrier) with 30 cognitively normal controls and 52 patients with Alzheimer disease. RESULTS [18F]Flortaucipir BPND images showed overall highest binding in the symptomatic carriers. This was most pronounced in the symptomatic R406W carrier in whom tau binding exceeded the normal control range in the anterior cingulate cortex, insula, amygdala, temporal, parietal, and frontal lobe. Elevated medial temporal lobe BPND was observed in a presymptomatic R406W carrier. The single symptomatic carrier and 1 of the 3 presymptomatic P301L carriers showed elevated [18F]flortaucipir BPND in the insula, parietal, and frontal lobe compared to controls. The symptomatic G272V carrier exhibited a widespread elevated cortical BPND, with at neuropathologic examination a combination of 3R pathology and encephalitis. The L315R presymptomatic mutation carrier showed higher frontal BPND compared to controls. The BPND values of the S320F presymptomatic mutation carrier fell within the range of controls. CONCLUSION Presymptomatic MAPT mutation carriers already showed subtle elevated tau binding, whereas symptomatic MAPT mutation carriers showed a more marked increase in [18F]flortaucipir BPND. Tau deposition was most pronounced in R406W MAPT (pre)symptomatic mutation carriers, which is associated with both 3R and 4R tau accumulation. Thus, [18F]flortaucipir may serve as an early biomarker for MAPT mutation carriers in mutations that cause 3R/4R tauopathies.
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Affiliation(s)
- Emma E Wolters
- From the Department of Radiology & Nuclear Medicine (E.E.W., S.C.J.V., D.V., E.W., H.T., T.T., R.B., M.Y., F.B., A.D.W., B.N.M.v.B.) and Alzheimer Center Amsterdam, Department of Neurology (E.E.W., C.G., W.M.v.d.F., Y.A.L.P., P.S., R.O.), Amsterdam Neuroscience, and Department of Epidemiology and Biostatistics (W.M.v.d.F.), Vrije Universiteit Amsterdam, Amsterdam UMC; Department of Neurology, Alzheimer Center (J.M.P., E.L.v.d.E., L.A.A.G., J.C.v.S., H.S.), and Department of Radiology & Nuclear Medicine (D.M.E.v.A., D.A.K., M.S.), Erasmus MC University Medical Center, Rotterdam; Department of Pathology (A.J.M.R.), Amsterdam Neuroscience, Amsterdam UMC, location VUmc, the Netherlands; Institutes of Neurology & Healthcare Engineering (F.B.), UCL, London, UK; and Clinical Memory Research Unit (R.O.), Lund University, Sweden.
| | - Janne M Papma
- From the Department of Radiology & Nuclear Medicine (E.E.W., S.C.J.V., D.V., E.W., H.T., T.T., R.B., M.Y., F.B., A.D.W., B.N.M.v.B.) and Alzheimer Center Amsterdam, Department of Neurology (E.E.W., C.G., W.M.v.d.F., Y.A.L.P., P.S., R.O.), Amsterdam Neuroscience, and Department of Epidemiology and Biostatistics (W.M.v.d.F.), Vrije Universiteit Amsterdam, Amsterdam UMC; Department of Neurology, Alzheimer Center (J.M.P., E.L.v.d.E., L.A.A.G., J.C.v.S., H.S.), and Department of Radiology & Nuclear Medicine (D.M.E.v.A., D.A.K., M.S.), Erasmus MC University Medical Center, Rotterdam; Department of Pathology (A.J.M.R.), Amsterdam Neuroscience, Amsterdam UMC, location VUmc, the Netherlands; Institutes of Neurology & Healthcare Engineering (F.B.), UCL, London, UK; and Clinical Memory Research Unit (R.O.), Lund University, Sweden
| | - Sander C J Verfaillie
- From the Department of Radiology & Nuclear Medicine (E.E.W., S.C.J.V., D.V., E.W., H.T., T.T., R.B., M.Y., F.B., A.D.W., B.N.M.v.B.) and Alzheimer Center Amsterdam, Department of Neurology (E.E.W., C.G., W.M.v.d.F., Y.A.L.P., P.S., R.O.), Amsterdam Neuroscience, and Department of Epidemiology and Biostatistics (W.M.v.d.F.), Vrije Universiteit Amsterdam, Amsterdam UMC; Department of Neurology, Alzheimer Center (J.M.P., E.L.v.d.E., L.A.A.G., J.C.v.S., H.S.), and Department of Radiology & Nuclear Medicine (D.M.E.v.A., D.A.K., M.S.), Erasmus MC University Medical Center, Rotterdam; Department of Pathology (A.J.M.R.), Amsterdam Neuroscience, Amsterdam UMC, location VUmc, the Netherlands; Institutes of Neurology & Healthcare Engineering (F.B.), UCL, London, UK; and Clinical Memory Research Unit (R.O.), Lund University, Sweden
| | - Denise Visser
- From the Department of Radiology & Nuclear Medicine (E.E.W., S.C.J.V., D.V., E.W., H.T., T.T., R.B., M.Y., F.B., A.D.W., B.N.M.v.B.) and Alzheimer Center Amsterdam, Department of Neurology (E.E.W., C.G., W.M.v.d.F., Y.A.L.P., P.S., R.O.), Amsterdam Neuroscience, and Department of Epidemiology and Biostatistics (W.M.v.d.F.), Vrije Universiteit Amsterdam, Amsterdam UMC; Department of Neurology, Alzheimer Center (J.M.P., E.L.v.d.E., L.A.A.G., J.C.v.S., H.S.), and Department of Radiology & Nuclear Medicine (D.M.E.v.A., D.A.K., M.S.), Erasmus MC University Medical Center, Rotterdam; Department of Pathology (A.J.M.R.), Amsterdam Neuroscience, Amsterdam UMC, location VUmc, the Netherlands; Institutes of Neurology & Healthcare Engineering (F.B.), UCL, London, UK; and Clinical Memory Research Unit (R.O.), Lund University, Sweden
| | - Emma Weltings
- From the Department of Radiology & Nuclear Medicine (E.E.W., S.C.J.V., D.V., E.W., H.T., T.T., R.B., M.Y., F.B., A.D.W., B.N.M.v.B.) and Alzheimer Center Amsterdam, Department of Neurology (E.E.W., C.G., W.M.v.d.F., Y.A.L.P., P.S., R.O.), Amsterdam Neuroscience, and Department of Epidemiology and Biostatistics (W.M.v.d.F.), Vrije Universiteit Amsterdam, Amsterdam UMC; Department of Neurology, Alzheimer Center (J.M.P., E.L.v.d.E., L.A.A.G., J.C.v.S., H.S.), and Department of Radiology & Nuclear Medicine (D.M.E.v.A., D.A.K., M.S.), Erasmus MC University Medical Center, Rotterdam; Department of Pathology (A.J.M.R.), Amsterdam Neuroscience, Amsterdam UMC, location VUmc, the Netherlands; Institutes of Neurology & Healthcare Engineering (F.B.), UCL, London, UK; and Clinical Memory Research Unit (R.O.), Lund University, Sweden
| | - Colin Groot
- From the Department of Radiology & Nuclear Medicine (E.E.W., S.C.J.V., D.V., E.W., H.T., T.T., R.B., M.Y., F.B., A.D.W., B.N.M.v.B.) and Alzheimer Center Amsterdam, Department of Neurology (E.E.W., C.G., W.M.v.d.F., Y.A.L.P., P.S., R.O.), Amsterdam Neuroscience, and Department of Epidemiology and Biostatistics (W.M.v.d.F.), Vrije Universiteit Amsterdam, Amsterdam UMC; Department of Neurology, Alzheimer Center (J.M.P., E.L.v.d.E., L.A.A.G., J.C.v.S., H.S.), and Department of Radiology & Nuclear Medicine (D.M.E.v.A., D.A.K., M.S.), Erasmus MC University Medical Center, Rotterdam; Department of Pathology (A.J.M.R.), Amsterdam Neuroscience, Amsterdam UMC, location VUmc, the Netherlands; Institutes of Neurology & Healthcare Engineering (F.B.), UCL, London, UK; and Clinical Memory Research Unit (R.O.), Lund University, Sweden
| | - Emma L van der Ende
- From the Department of Radiology & Nuclear Medicine (E.E.W., S.C.J.V., D.V., E.W., H.T., T.T., R.B., M.Y., F.B., A.D.W., B.N.M.v.B.) and Alzheimer Center Amsterdam, Department of Neurology (E.E.W., C.G., W.M.v.d.F., Y.A.L.P., P.S., R.O.), Amsterdam Neuroscience, and Department of Epidemiology and Biostatistics (W.M.v.d.F.), Vrije Universiteit Amsterdam, Amsterdam UMC; Department of Neurology, Alzheimer Center (J.M.P., E.L.v.d.E., L.A.A.G., J.C.v.S., H.S.), and Department of Radiology & Nuclear Medicine (D.M.E.v.A., D.A.K., M.S.), Erasmus MC University Medical Center, Rotterdam; Department of Pathology (A.J.M.R.), Amsterdam Neuroscience, Amsterdam UMC, location VUmc, the Netherlands; Institutes of Neurology & Healthcare Engineering (F.B.), UCL, London, UK; and Clinical Memory Research Unit (R.O.), Lund University, Sweden
| | - Lucia A A Giannini
- From the Department of Radiology & Nuclear Medicine (E.E.W., S.C.J.V., D.V., E.W., H.T., T.T., R.B., M.Y., F.B., A.D.W., B.N.M.v.B.) and Alzheimer Center Amsterdam, Department of Neurology (E.E.W., C.G., W.M.v.d.F., Y.A.L.P., P.S., R.O.), Amsterdam Neuroscience, and Department of Epidemiology and Biostatistics (W.M.v.d.F.), Vrije Universiteit Amsterdam, Amsterdam UMC; Department of Neurology, Alzheimer Center (J.M.P., E.L.v.d.E., L.A.A.G., J.C.v.S., H.S.), and Department of Radiology & Nuclear Medicine (D.M.E.v.A., D.A.K., M.S.), Erasmus MC University Medical Center, Rotterdam; Department of Pathology (A.J.M.R.), Amsterdam Neuroscience, Amsterdam UMC, location VUmc, the Netherlands; Institutes of Neurology & Healthcare Engineering (F.B.), UCL, London, UK; and Clinical Memory Research Unit (R.O.), Lund University, Sweden
| | - Hayel Tuncel
- From the Department of Radiology & Nuclear Medicine (E.E.W., S.C.J.V., D.V., E.W., H.T., T.T., R.B., M.Y., F.B., A.D.W., B.N.M.v.B.) and Alzheimer Center Amsterdam, Department of Neurology (E.E.W., C.G., W.M.v.d.F., Y.A.L.P., P.S., R.O.), Amsterdam Neuroscience, and Department of Epidemiology and Biostatistics (W.M.v.d.F.), Vrije Universiteit Amsterdam, Amsterdam UMC; Department of Neurology, Alzheimer Center (J.M.P., E.L.v.d.E., L.A.A.G., J.C.v.S., H.S.), and Department of Radiology & Nuclear Medicine (D.M.E.v.A., D.A.K., M.S.), Erasmus MC University Medical Center, Rotterdam; Department of Pathology (A.J.M.R.), Amsterdam Neuroscience, Amsterdam UMC, location VUmc, the Netherlands; Institutes of Neurology & Healthcare Engineering (F.B.), UCL, London, UK; and Clinical Memory Research Unit (R.O.), Lund University, Sweden
| | - Tessa Timmers
- From the Department of Radiology & Nuclear Medicine (E.E.W., S.C.J.V., D.V., E.W., H.T., T.T., R.B., M.Y., F.B., A.D.W., B.N.M.v.B.) and Alzheimer Center Amsterdam, Department of Neurology (E.E.W., C.G., W.M.v.d.F., Y.A.L.P., P.S., R.O.), Amsterdam Neuroscience, and Department of Epidemiology and Biostatistics (W.M.v.d.F.), Vrije Universiteit Amsterdam, Amsterdam UMC; Department of Neurology, Alzheimer Center (J.M.P., E.L.v.d.E., L.A.A.G., J.C.v.S., H.S.), and Department of Radiology & Nuclear Medicine (D.M.E.v.A., D.A.K., M.S.), Erasmus MC University Medical Center, Rotterdam; Department of Pathology (A.J.M.R.), Amsterdam Neuroscience, Amsterdam UMC, location VUmc, the Netherlands; Institutes of Neurology & Healthcare Engineering (F.B.), UCL, London, UK; and Clinical Memory Research Unit (R.O.), Lund University, Sweden
| | - Ronald Boellaard
- From the Department of Radiology & Nuclear Medicine (E.E.W., S.C.J.V., D.V., E.W., H.T., T.T., R.B., M.Y., F.B., A.D.W., B.N.M.v.B.) and Alzheimer Center Amsterdam, Department of Neurology (E.E.W., C.G., W.M.v.d.F., Y.A.L.P., P.S., R.O.), Amsterdam Neuroscience, and Department of Epidemiology and Biostatistics (W.M.v.d.F.), Vrije Universiteit Amsterdam, Amsterdam UMC; Department of Neurology, Alzheimer Center (J.M.P., E.L.v.d.E., L.A.A.G., J.C.v.S., H.S.), and Department of Radiology & Nuclear Medicine (D.M.E.v.A., D.A.K., M.S.), Erasmus MC University Medical Center, Rotterdam; Department of Pathology (A.J.M.R.), Amsterdam Neuroscience, Amsterdam UMC, location VUmc, the Netherlands; Institutes of Neurology & Healthcare Engineering (F.B.), UCL, London, UK; and Clinical Memory Research Unit (R.O.), Lund University, Sweden
| | - Maqsood Yaqub
- From the Department of Radiology & Nuclear Medicine (E.E.W., S.C.J.V., D.V., E.W., H.T., T.T., R.B., M.Y., F.B., A.D.W., B.N.M.v.B.) and Alzheimer Center Amsterdam, Department of Neurology (E.E.W., C.G., W.M.v.d.F., Y.A.L.P., P.S., R.O.), Amsterdam Neuroscience, and Department of Epidemiology and Biostatistics (W.M.v.d.F.), Vrije Universiteit Amsterdam, Amsterdam UMC; Department of Neurology, Alzheimer Center (J.M.P., E.L.v.d.E., L.A.A.G., J.C.v.S., H.S.), and Department of Radiology & Nuclear Medicine (D.M.E.v.A., D.A.K., M.S.), Erasmus MC University Medical Center, Rotterdam; Department of Pathology (A.J.M.R.), Amsterdam Neuroscience, Amsterdam UMC, location VUmc, the Netherlands; Institutes of Neurology & Healthcare Engineering (F.B.), UCL, London, UK; and Clinical Memory Research Unit (R.O.), Lund University, Sweden
| | - Danielle M E van Assema
- From the Department of Radiology & Nuclear Medicine (E.E.W., S.C.J.V., D.V., E.W., H.T., T.T., R.B., M.Y., F.B., A.D.W., B.N.M.v.B.) and Alzheimer Center Amsterdam, Department of Neurology (E.E.W., C.G., W.M.v.d.F., Y.A.L.P., P.S., R.O.), Amsterdam Neuroscience, and Department of Epidemiology and Biostatistics (W.M.v.d.F.), Vrije Universiteit Amsterdam, Amsterdam UMC; Department of Neurology, Alzheimer Center (J.M.P., E.L.v.d.E., L.A.A.G., J.C.v.S., H.S.), and Department of Radiology & Nuclear Medicine (D.M.E.v.A., D.A.K., M.S.), Erasmus MC University Medical Center, Rotterdam; Department of Pathology (A.J.M.R.), Amsterdam Neuroscience, Amsterdam UMC, location VUmc, the Netherlands; Institutes of Neurology & Healthcare Engineering (F.B.), UCL, London, UK; and Clinical Memory Research Unit (R.O.), Lund University, Sweden
| | - Dennis A Kuijper
- From the Department of Radiology & Nuclear Medicine (E.E.W., S.C.J.V., D.V., E.W., H.T., T.T., R.B., M.Y., F.B., A.D.W., B.N.M.v.B.) and Alzheimer Center Amsterdam, Department of Neurology (E.E.W., C.G., W.M.v.d.F., Y.A.L.P., P.S., R.O.), Amsterdam Neuroscience, and Department of Epidemiology and Biostatistics (W.M.v.d.F.), Vrije Universiteit Amsterdam, Amsterdam UMC; Department of Neurology, Alzheimer Center (J.M.P., E.L.v.d.E., L.A.A.G., J.C.v.S., H.S.), and Department of Radiology & Nuclear Medicine (D.M.E.v.A., D.A.K., M.S.), Erasmus MC University Medical Center, Rotterdam; Department of Pathology (A.J.M.R.), Amsterdam Neuroscience, Amsterdam UMC, location VUmc, the Netherlands; Institutes of Neurology & Healthcare Engineering (F.B.), UCL, London, UK; and Clinical Memory Research Unit (R.O.), Lund University, Sweden
| | - Marcel Segbers
- From the Department of Radiology & Nuclear Medicine (E.E.W., S.C.J.V., D.V., E.W., H.T., T.T., R.B., M.Y., F.B., A.D.W., B.N.M.v.B.) and Alzheimer Center Amsterdam, Department of Neurology (E.E.W., C.G., W.M.v.d.F., Y.A.L.P., P.S., R.O.), Amsterdam Neuroscience, and Department of Epidemiology and Biostatistics (W.M.v.d.F.), Vrije Universiteit Amsterdam, Amsterdam UMC; Department of Neurology, Alzheimer Center (J.M.P., E.L.v.d.E., L.A.A.G., J.C.v.S., H.S.), and Department of Radiology & Nuclear Medicine (D.M.E.v.A., D.A.K., M.S.), Erasmus MC University Medical Center, Rotterdam; Department of Pathology (A.J.M.R.), Amsterdam Neuroscience, Amsterdam UMC, location VUmc, the Netherlands; Institutes of Neurology & Healthcare Engineering (F.B.), UCL, London, UK; and Clinical Memory Research Unit (R.O.), Lund University, Sweden
| | - Annemieke J M Rozemuller
- From the Department of Radiology & Nuclear Medicine (E.E.W., S.C.J.V., D.V., E.W., H.T., T.T., R.B., M.Y., F.B., A.D.W., B.N.M.v.B.) and Alzheimer Center Amsterdam, Department of Neurology (E.E.W., C.G., W.M.v.d.F., Y.A.L.P., P.S., R.O.), Amsterdam Neuroscience, and Department of Epidemiology and Biostatistics (W.M.v.d.F.), Vrije Universiteit Amsterdam, Amsterdam UMC; Department of Neurology, Alzheimer Center (J.M.P., E.L.v.d.E., L.A.A.G., J.C.v.S., H.S.), and Department of Radiology & Nuclear Medicine (D.M.E.v.A., D.A.K., M.S.), Erasmus MC University Medical Center, Rotterdam; Department of Pathology (A.J.M.R.), Amsterdam Neuroscience, Amsterdam UMC, location VUmc, the Netherlands; Institutes of Neurology & Healthcare Engineering (F.B.), UCL, London, UK; and Clinical Memory Research Unit (R.O.), Lund University, Sweden
| | - Frederik Barkhof
- From the Department of Radiology & Nuclear Medicine (E.E.W., S.C.J.V., D.V., E.W., H.T., T.T., R.B., M.Y., F.B., A.D.W., B.N.M.v.B.) and Alzheimer Center Amsterdam, Department of Neurology (E.E.W., C.G., W.M.v.d.F., Y.A.L.P., P.S., R.O.), Amsterdam Neuroscience, and Department of Epidemiology and Biostatistics (W.M.v.d.F.), Vrije Universiteit Amsterdam, Amsterdam UMC; Department of Neurology, Alzheimer Center (J.M.P., E.L.v.d.E., L.A.A.G., J.C.v.S., H.S.), and Department of Radiology & Nuclear Medicine (D.M.E.v.A., D.A.K., M.S.), Erasmus MC University Medical Center, Rotterdam; Department of Pathology (A.J.M.R.), Amsterdam Neuroscience, Amsterdam UMC, location VUmc, the Netherlands; Institutes of Neurology & Healthcare Engineering (F.B.), UCL, London, UK; and Clinical Memory Research Unit (R.O.), Lund University, Sweden
| | - Albert D Windhorst
- From the Department of Radiology & Nuclear Medicine (E.E.W., S.C.J.V., D.V., E.W., H.T., T.T., R.B., M.Y., F.B., A.D.W., B.N.M.v.B.) and Alzheimer Center Amsterdam, Department of Neurology (E.E.W., C.G., W.M.v.d.F., Y.A.L.P., P.S., R.O.), Amsterdam Neuroscience, and Department of Epidemiology and Biostatistics (W.M.v.d.F.), Vrije Universiteit Amsterdam, Amsterdam UMC; Department of Neurology, Alzheimer Center (J.M.P., E.L.v.d.E., L.A.A.G., J.C.v.S., H.S.), and Department of Radiology & Nuclear Medicine (D.M.E.v.A., D.A.K., M.S.), Erasmus MC University Medical Center, Rotterdam; Department of Pathology (A.J.M.R.), Amsterdam Neuroscience, Amsterdam UMC, location VUmc, the Netherlands; Institutes of Neurology & Healthcare Engineering (F.B.), UCL, London, UK; and Clinical Memory Research Unit (R.O.), Lund University, Sweden
| | - Wiesje M van der Flier
- From the Department of Radiology & Nuclear Medicine (E.E.W., S.C.J.V., D.V., E.W., H.T., T.T., R.B., M.Y., F.B., A.D.W., B.N.M.v.B.) and Alzheimer Center Amsterdam, Department of Neurology (E.E.W., C.G., W.M.v.d.F., Y.A.L.P., P.S., R.O.), Amsterdam Neuroscience, and Department of Epidemiology and Biostatistics (W.M.v.d.F.), Vrije Universiteit Amsterdam, Amsterdam UMC; Department of Neurology, Alzheimer Center (J.M.P., E.L.v.d.E., L.A.A.G., J.C.v.S., H.S.), and Department of Radiology & Nuclear Medicine (D.M.E.v.A., D.A.K., M.S.), Erasmus MC University Medical Center, Rotterdam; Department of Pathology (A.J.M.R.), Amsterdam Neuroscience, Amsterdam UMC, location VUmc, the Netherlands; Institutes of Neurology & Healthcare Engineering (F.B.), UCL, London, UK; and Clinical Memory Research Unit (R.O.), Lund University, Sweden
| | - Yolande A L Pijnenburg
- From the Department of Radiology & Nuclear Medicine (E.E.W., S.C.J.V., D.V., E.W., H.T., T.T., R.B., M.Y., F.B., A.D.W., B.N.M.v.B.) and Alzheimer Center Amsterdam, Department of Neurology (E.E.W., C.G., W.M.v.d.F., Y.A.L.P., P.S., R.O.), Amsterdam Neuroscience, and Department of Epidemiology and Biostatistics (W.M.v.d.F.), Vrije Universiteit Amsterdam, Amsterdam UMC; Department of Neurology, Alzheimer Center (J.M.P., E.L.v.d.E., L.A.A.G., J.C.v.S., H.S.), and Department of Radiology & Nuclear Medicine (D.M.E.v.A., D.A.K., M.S.), Erasmus MC University Medical Center, Rotterdam; Department of Pathology (A.J.M.R.), Amsterdam Neuroscience, Amsterdam UMC, location VUmc, the Netherlands; Institutes of Neurology & Healthcare Engineering (F.B.), UCL, London, UK; and Clinical Memory Research Unit (R.O.), Lund University, Sweden
| | - Philip Scheltens
- From the Department of Radiology & Nuclear Medicine (E.E.W., S.C.J.V., D.V., E.W., H.T., T.T., R.B., M.Y., F.B., A.D.W., B.N.M.v.B.) and Alzheimer Center Amsterdam, Department of Neurology (E.E.W., C.G., W.M.v.d.F., Y.A.L.P., P.S., R.O.), Amsterdam Neuroscience, and Department of Epidemiology and Biostatistics (W.M.v.d.F.), Vrije Universiteit Amsterdam, Amsterdam UMC; Department of Neurology, Alzheimer Center (J.M.P., E.L.v.d.E., L.A.A.G., J.C.v.S., H.S.), and Department of Radiology & Nuclear Medicine (D.M.E.v.A., D.A.K., M.S.), Erasmus MC University Medical Center, Rotterdam; Department of Pathology (A.J.M.R.), Amsterdam Neuroscience, Amsterdam UMC, location VUmc, the Netherlands; Institutes of Neurology & Healthcare Engineering (F.B.), UCL, London, UK; and Clinical Memory Research Unit (R.O.), Lund University, Sweden
| | - Bart N M van Berckel
- From the Department of Radiology & Nuclear Medicine (E.E.W., S.C.J.V., D.V., E.W., H.T., T.T., R.B., M.Y., F.B., A.D.W., B.N.M.v.B.) and Alzheimer Center Amsterdam, Department of Neurology (E.E.W., C.G., W.M.v.d.F., Y.A.L.P., P.S., R.O.), Amsterdam Neuroscience, and Department of Epidemiology and Biostatistics (W.M.v.d.F.), Vrije Universiteit Amsterdam, Amsterdam UMC; Department of Neurology, Alzheimer Center (J.M.P., E.L.v.d.E., L.A.A.G., J.C.v.S., H.S.), and Department of Radiology & Nuclear Medicine (D.M.E.v.A., D.A.K., M.S.), Erasmus MC University Medical Center, Rotterdam; Department of Pathology (A.J.M.R.), Amsterdam Neuroscience, Amsterdam UMC, location VUmc, the Netherlands; Institutes of Neurology & Healthcare Engineering (F.B.), UCL, London, UK; and Clinical Memory Research Unit (R.O.), Lund University, Sweden
| | - John C van Swieten
- From the Department of Radiology & Nuclear Medicine (E.E.W., S.C.J.V., D.V., E.W., H.T., T.T., R.B., M.Y., F.B., A.D.W., B.N.M.v.B.) and Alzheimer Center Amsterdam, Department of Neurology (E.E.W., C.G., W.M.v.d.F., Y.A.L.P., P.S., R.O.), Amsterdam Neuroscience, and Department of Epidemiology and Biostatistics (W.M.v.d.F.), Vrije Universiteit Amsterdam, Amsterdam UMC; Department of Neurology, Alzheimer Center (J.M.P., E.L.v.d.E., L.A.A.G., J.C.v.S., H.S.), and Department of Radiology & Nuclear Medicine (D.M.E.v.A., D.A.K., M.S.), Erasmus MC University Medical Center, Rotterdam; Department of Pathology (A.J.M.R.), Amsterdam Neuroscience, Amsterdam UMC, location VUmc, the Netherlands; Institutes of Neurology & Healthcare Engineering (F.B.), UCL, London, UK; and Clinical Memory Research Unit (R.O.), Lund University, Sweden
| | - Rik Ossenkoppele
- From the Department of Radiology & Nuclear Medicine (E.E.W., S.C.J.V., D.V., E.W., H.T., T.T., R.B., M.Y., F.B., A.D.W., B.N.M.v.B.) and Alzheimer Center Amsterdam, Department of Neurology (E.E.W., C.G., W.M.v.d.F., Y.A.L.P., P.S., R.O.), Amsterdam Neuroscience, and Department of Epidemiology and Biostatistics (W.M.v.d.F.), Vrije Universiteit Amsterdam, Amsterdam UMC; Department of Neurology, Alzheimer Center (J.M.P., E.L.v.d.E., L.A.A.G., J.C.v.S., H.S.), and Department of Radiology & Nuclear Medicine (D.M.E.v.A., D.A.K., M.S.), Erasmus MC University Medical Center, Rotterdam; Department of Pathology (A.J.M.R.), Amsterdam Neuroscience, Amsterdam UMC, location VUmc, the Netherlands; Institutes of Neurology & Healthcare Engineering (F.B.), UCL, London, UK; and Clinical Memory Research Unit (R.O.), Lund University, Sweden
| | - Harro Seelaar
- From the Department of Radiology & Nuclear Medicine (E.E.W., S.C.J.V., D.V., E.W., H.T., T.T., R.B., M.Y., F.B., A.D.W., B.N.M.v.B.) and Alzheimer Center Amsterdam, Department of Neurology (E.E.W., C.G., W.M.v.d.F., Y.A.L.P., P.S., R.O.), Amsterdam Neuroscience, and Department of Epidemiology and Biostatistics (W.M.v.d.F.), Vrije Universiteit Amsterdam, Amsterdam UMC; Department of Neurology, Alzheimer Center (J.M.P., E.L.v.d.E., L.A.A.G., J.C.v.S., H.S.), and Department of Radiology & Nuclear Medicine (D.M.E.v.A., D.A.K., M.S.), Erasmus MC University Medical Center, Rotterdam; Department of Pathology (A.J.M.R.), Amsterdam Neuroscience, Amsterdam UMC, location VUmc, the Netherlands; Institutes of Neurology & Healthcare Engineering (F.B.), UCL, London, UK; and Clinical Memory Research Unit (R.O.), Lund University, Sweden
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Parekh P, Bhalerao GV, Rao R, Sreeraj VS, Holla B, Saini J, Venkatasubramanian G, John JP, Jain S. Protocol for magnetic resonance imaging acquisition, quality assurance, and quality check for the Accelerator program for Discovery in Brain disorders using Stem cells. Int J Methods Psychiatr Res 2021; 30:e1871. [PMID: 33960571 PMCID: PMC8412227 DOI: 10.1002/mpr.1871] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/29/2020] [Revised: 01/08/2021] [Accepted: 03/10/2021] [Indexed: 11/09/2022] Open
Abstract
OBJECTIVE The Accelerator program for Discovery in Brain disorders using Stem cells (ADBS) is a longitudinal study on five cohorts of patients with major psychiatric disorders from genetically high-risk families, their unaffected first-degree relatives, and healthy subjects. We describe the ADBS protocols for acquisition, quality assurance (QA), and quality check (QC) for multimodal magnetic resonance brain imaging studies. METHODS We describe the acquisition and QC protocols for structural, functional, and diffusion images. For QA, we acquire proton density and functional images on phantoms, along with repeated scans on human volunteer. We describe the analysis of phantom data and test-retest reliability of volumetric and diffusion measures. RESULTS Analysis of acquired phantom data shows linearity of proton density signal with increasing proton fraction, and an overall stability of various spatial and temporal QA measures. Examination of dice coefficient and statistical analyses of coefficient of variation in test-retest data on the human volunteer showed consistency of volumetric and diffusivity measures at whole-brain, regional, and voxel-level. CONCLUSION The described acquisition and QA-QC procedures can yield consistent and reliable quantitative measures. It is expected that this longitudinal neuroimaging dataset will, upon its release, serve the scientific community well and pave the way for interesting discoveries.
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Affiliation(s)
- Pravesh Parekh
- ADBS Neuroimaging CentreNational Institute of Mental Health and NeurosciencesBangaloreIndia
- Multimodal Brain Image Analysis LaboratoryNational Institute of Mental Health and NeurosciencesBangaloreIndia
- Department of PsychiatryNational Institute of Mental Health and NeurosciencesBangaloreIndia
| | - Gaurav V. Bhalerao
- ADBS Neuroimaging CentreNational Institute of Mental Health and NeurosciencesBangaloreIndia
- Department of PsychiatryNational Institute of Mental Health and NeurosciencesBangaloreIndia
- Translational Psychiatry LabNational Institute of Mental Health and NeurosciencesBangaloreIndia
| | - Rashmi Rao
- ADBS Neuroimaging CentreNational Institute of Mental Health and NeurosciencesBangaloreIndia
| | - Vanteemar S. Sreeraj
- ADBS Neuroimaging CentreNational Institute of Mental Health and NeurosciencesBangaloreIndia
- Department of PsychiatryNational Institute of Mental Health and NeurosciencesBangaloreIndia
- Translational Psychiatry LabNational Institute of Mental Health and NeurosciencesBangaloreIndia
| | - Bharath Holla
- ADBS Neuroimaging CentreNational Institute of Mental Health and NeurosciencesBangaloreIndia
- Department of PsychiatryNational Institute of Mental Health and NeurosciencesBangaloreIndia
| | - Jitender Saini
- Department of Neuroimaging and Interventional RadiologyNational Institute of Mental Health and NeurosciencesBangaloreIndia
| | - Ganesan Venkatasubramanian
- ADBS Neuroimaging CentreNational Institute of Mental Health and NeurosciencesBangaloreIndia
- Department of PsychiatryNational Institute of Mental Health and NeurosciencesBangaloreIndia
- Translational Psychiatry LabNational Institute of Mental Health and NeurosciencesBangaloreIndia
| | - John P. John
- ADBS Neuroimaging CentreNational Institute of Mental Health and NeurosciencesBangaloreIndia
- Multimodal Brain Image Analysis LaboratoryNational Institute of Mental Health and NeurosciencesBangaloreIndia
- Department of PsychiatryNational Institute of Mental Health and NeurosciencesBangaloreIndia
| | - Sanjeev Jain
- Department of PsychiatryNational Institute of Mental Health and NeurosciencesBangaloreIndia
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Bortolini T, Melo B, Basilio R, Fischer R, Zahn R, de Oliveira-Souza R, Knutson B, Moll J. Striatal and septo-hypothalamic responses to anticipation and outcome of affiliative rewards. Neuroimage 2021; 243:118474. [PMID: 34407439 DOI: 10.1016/j.neuroimage.2021.118474] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2021] [Revised: 08/06/2021] [Accepted: 08/12/2021] [Indexed: 11/16/2022] Open
Abstract
Humans are intrinsically motivated to bond with others. The ability to experience affiliative emotions (such as affection/tenderness, sexual attraction, and admiration/awe) may incentivize and promote these affiliative bonds. Here, we interrogate the role of the critical reward circuitry, especially the Nucleus Accumbens (NAcc) and the septo-hypothalamic region, in the anticipation of and response to affiliative rewards using a novel incentive delay task. During Functional Magnetic Resonance Imaging (FMRI), participants (n = 23 healthy humans; 14 female) anticipated and watched videos involving affiliative (tenderness, erotic desire, and awe) and nonaffiliative (i.e., food) rewards, as well as neutral scenes. On the one hand, anticipation of both affiliative and nonaffiliative rewards increased activity in the NAcc, anterior insula, and supplementary motor cortex, but activity in the amygdala and the ventromedial prefrontal cortex (vmPFC) increased in response to reward outcomes. On the other hand, affiliative rewards more specifically increased activity in the septo-hypothalamic area. Moreover, NAcc activity during anticipation correlated with positive arousal for all rewards, whereas septo-hypothalamic activity during the outcome correlated with positive arousal and motivation for subsequent re-exposure only for affiliative rewards. Together, these findings implicate a general appetitive response in the NAcc to different types of rewards but suggests a more specific response in the septo-hypothalamic region in response to affiliative rewards outcomes. This work also presents a new task for distinguishing between neural responses to affiliative and non-affiliative rewards.
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Affiliation(s)
- Tiago Bortolini
- Cognitive Neuroscience and Neuroinformatics Unit, D'Or Institute for Research and Education (IDOR), Rio de Janeiro 22281-100, Brazil.
| | - Bruno Melo
- Cognitive Neuroscience and Neuroinformatics Unit, D'Or Institute for Research and Education (IDOR), Rio de Janeiro 22281-100, Brazil
| | - Rodrigo Basilio
- Cognitive Neuroscience and Neuroinformatics Unit, D'Or Institute for Research and Education (IDOR), Rio de Janeiro 22281-100, Brazil
| | - Ronald Fischer
- Cognitive Neuroscience and Neuroinformatics Unit, D'Or Institute for Research and Education (IDOR), Rio de Janeiro 22281-100, Brazil; School of Psychology, PO Box 600, Victoria University of Wellington, Wellington 6021, New Zealand
| | - Roland Zahn
- Centre for Affective Disorders, King's College London, SE5 8AF, United Kingdom
| | - Ricardo de Oliveira-Souza
- Cognitive Neuroscience and Neuroinformatics Unit, D'Or Institute for Research and Education (IDOR), Rio de Janeiro 22281-100, Brazil; The Federal University of the State of Rio de Janeiro, Rio de Janeiro 22270-000, Brazil
| | - Brian Knutson
- Department of Psychology, Stanford University, Stanford, CA 94305, USA
| | - Jorge Moll
- Cognitive Neuroscience and Neuroinformatics Unit, D'Or Institute for Research and Education (IDOR), Rio de Janeiro 22281-100, Brazil; Department of Psychology, Stanford University, Stanford, CA 94305, USA; Scients Institute, Palo Alto, CA 94306, USA
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258
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Zhang S, Zhao F, Zhou T, Liu D, Yao X, Fu W, Liu Z, Lan C, Lai Z, Liu C, Li H, Li Y, Hu S, Yin Y, Tan L, Li W, Li F, Hu R, Feng H. Combination of the Distance From Tumor Edge to Subventricular Zone and IDH Mutation Predicts Prognosis of Patients With Glioma. Front Oncol 2021; 11:693693. [PMID: 34490090 PMCID: PMC8417404 DOI: 10.3389/fonc.2021.693693] [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: 04/11/2021] [Accepted: 07/29/2021] [Indexed: 11/13/2022] Open
Abstract
Both subventricular zone (SVZ) contact and isocitrate dehydrogenase 1 (IDH1) mutation have been reported to be related to the outcome of glioma, respectively. However, far too little attention has been paid to the role of tumor edge-SVZ distance in the outcome of glioma. We aim to assess the value of tumor-SVZ distance, as well as combined tumor-SVZ distance and IDH status, in predicting the outcome of gliomas (WHO grade II-IV). Here, the MR images and clinical data from 146 patients were included in the current study. The relationship between survival and the tumor-SVZ distance as well as survival and combination of tumor-SVZ distance and IDH status were determined via univariate and multivariate analyses. In univariate analysis of tumor-SVZ distance, the patients were divided into three types (SVZ involvement, tumor-SVZ distance from 0 to 10 mm, and tumor-SVZ distance >10 mm). The results showed that the OS (p = 0.02) and PFS (p = 0.002) for the patients had a positive correlation with the tumor-SVZ distance. In addition, simple linear correlation found a significant relationship between the two parameters (OS and PFS) and tumor-SVZ distance in patients with non-SVZ-contacting glioma. Combination analysis of the tumor-SVZ distance and IDH status showed that IDH1 mutation and SVZ non-involvement enable favorable outcomes, whereas IDH1 wild type with SVZ involvement indicates a significantly worse prognosis in all patients. Moreover, in patients with non-SVZ-contacting glioma, IDH1 mutation concurrent with tumor-SVZ distance >10 mm has better OS and PFS. IDH1 wild type and tumor-SVZ distance from 0 to 10 mm suggest poorer OS and PFS. Multivariate analysis showed WHO grade IV, SVZ involvement, tumor-SVZ distance from 0 to 10 mm, IDH1 mutation, gross total resection, and chemotherapy serve as independent predictors of OS. WHO grade IV, SVZ involvement, tumor-SVZ distance from 0 to 10 mm, IDH1 mutation, and chemotherapy serve as independent predictors of PFS of patients with glioma. In conclusion, tumor-SVZ distance and IDH1 mutation status are the determinants affecting patient outcome.
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Affiliation(s)
- Shuixian Zhang
- Department of Neurosurgery, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Fengchun Zhao
- Department of Neurosurgery, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Tengyuan Zhou
- Department of Neurosurgery, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Dan Liu
- Department of Neurosurgery, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Xiaohong Yao
- Department of Pathology, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Wenjuan Fu
- Department of Pathology, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Zhi Liu
- Department of Neurosurgery, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Chuan Lan
- Department of Neurosurgery, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Zhaopan Lai
- Department of Neurosurgery, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Chen Liu
- Department of Radiology, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Haitao Li
- Department of Radiology, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Yuhong Li
- Department of Neurosurgery, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Shengli Hu
- Department of Neurosurgery, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Yi Yin
- Department of Neurosurgery, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Liang Tan
- Department of Neurosurgery, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Wenyan Li
- Department of Neurosurgery, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Fei Li
- Department of Neurosurgery, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Rong Hu
- Department of Neurosurgery, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Hua Feng
- Department of Neurosurgery, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
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Routier A, Burgos N, Díaz M, Bacci M, Bottani S, El-Rifai O, Fontanella S, Gori P, Guillon J, Guyot A, Hassanaly R, Jacquemont T, Lu P, Marcoux A, Moreau T, Samper-González J, Teichmann M, Thibeau-Sutre E, Vaillant G, Wen J, Wild A, Habert MO, Durrleman S, Colliot O. Clinica: An Open-Source Software Platform for Reproducible Clinical Neuroscience Studies. Front Neuroinform 2021; 15:689675. [PMID: 34483871 PMCID: PMC8415107 DOI: 10.3389/fninf.2021.689675] [Citation(s) in RCA: 37] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2021] [Accepted: 07/19/2021] [Indexed: 12/03/2022] Open
Abstract
We present Clinica (www.clinica.run), an open-source software platform designed to make clinical neuroscience studies easier and more reproducible. Clinica aims for researchers to (i) spend less time on data management and processing, (ii) perform reproducible evaluations of their methods, and (iii) easily share data and results within their institution and with external collaborators. The core of Clinica is a set of automatic pipelines for processing and analysis of multimodal neuroimaging data (currently, T1-weighted MRI, diffusion MRI, and PET data), as well as tools for statistics, machine learning, and deep learning. It relies on the brain imaging data structure (BIDS) for the organization of raw neuroimaging datasets and on established tools written by the community to build its pipelines. It also provides converters of public neuroimaging datasets to BIDS (currently ADNI, AIBL, OASIS, and NIFD). Processed data include image-valued scalar fields (e.g., tissue probability maps), meshes, surface-based scalar fields (e.g., cortical thickness maps), or scalar outputs (e.g., regional averages). These data follow the ClinicA Processed Structure (CAPS) format which shares the same philosophy as BIDS. Consistent organization of raw and processed neuroimaging files facilitates the execution of single pipelines and of sequences of pipelines, as well as the integration of processed data into statistics or machine learning frameworks. The target audience of Clinica is neuroscientists or clinicians conducting clinical neuroscience studies involving multimodal imaging, and researchers developing advanced machine learning algorithms applied to neuroimaging data.
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Affiliation(s)
- Alexandre Routier
- Inria, Aramis Project-Team, Paris, France
- Sorbonne Université, Paris, France
- Institut du Cerveau – Paris Brain Institute – ICM, Paris, France
- Inserm, Paris, France
- CNRS, Paris, France
- AP-HP, Hôpital de la Pitié-Salpêtrière, Paris, France
| | - Ninon Burgos
- Inria, Aramis Project-Team, Paris, France
- Sorbonne Université, Paris, France
- Institut du Cerveau – Paris Brain Institute – ICM, Paris, France
- Inserm, Paris, France
- CNRS, Paris, France
- AP-HP, Hôpital de la Pitié-Salpêtrière, Paris, France
| | - Mauricio Díaz
- Inria, Service d'Expérimentation et de Développement, Paris, France
| | - Michael Bacci
- Inria, Aramis Project-Team, Paris, France
- Sorbonne Université, Paris, France
- Institut du Cerveau – Paris Brain Institute – ICM, Paris, France
- Inserm, Paris, France
- CNRS, Paris, France
- AP-HP, Hôpital de la Pitié-Salpêtrière, Paris, France
| | - Simona Bottani
- Inria, Aramis Project-Team, Paris, France
- Sorbonne Université, Paris, France
- Institut du Cerveau – Paris Brain Institute – ICM, Paris, France
- Inserm, Paris, France
- CNRS, Paris, France
- AP-HP, Hôpital de la Pitié-Salpêtrière, Paris, France
| | - Omar El-Rifai
- Inria, Aramis Project-Team, Paris, France
- Sorbonne Université, Paris, France
- Institut du Cerveau – Paris Brain Institute – ICM, Paris, France
- Inserm, Paris, France
- CNRS, Paris, France
- AP-HP, Hôpital de la Pitié-Salpêtrière, Paris, France
| | - Sabrina Fontanella
- Inria, Aramis Project-Team, Paris, France
- Sorbonne Université, Paris, France
- Institut du Cerveau – Paris Brain Institute – ICM, Paris, France
- Inserm, Paris, France
- CNRS, Paris, France
- AP-HP, Hôpital de la Pitié-Salpêtrière, Paris, France
| | - Pietro Gori
- Inria, Aramis Project-Team, Paris, France
- Sorbonne Université, Paris, France
- Institut du Cerveau – Paris Brain Institute – ICM, Paris, France
- Inserm, Paris, France
- CNRS, Paris, France
- AP-HP, Hôpital de la Pitié-Salpêtrière, Paris, France
| | - Jérémy Guillon
- Inria, Aramis Project-Team, Paris, France
- Sorbonne Université, Paris, France
- Institut du Cerveau – Paris Brain Institute – ICM, Paris, France
- Inserm, Paris, France
- CNRS, Paris, France
- AP-HP, Hôpital de la Pitié-Salpêtrière, Paris, France
| | - Alexis Guyot
- Inria, Aramis Project-Team, Paris, France
- Sorbonne Université, Paris, France
- Institut du Cerveau – Paris Brain Institute – ICM, Paris, France
- Inserm, Paris, France
- CNRS, Paris, France
- AP-HP, Hôpital de la Pitié-Salpêtrière, Paris, France
| | - Ravi Hassanaly
- Inria, Aramis Project-Team, Paris, France
- Sorbonne Université, Paris, France
- Institut du Cerveau – Paris Brain Institute – ICM, Paris, France
- Inserm, Paris, France
- CNRS, Paris, France
- AP-HP, Hôpital de la Pitié-Salpêtrière, Paris, France
| | - Thomas Jacquemont
- Inria, Aramis Project-Team, Paris, France
- Sorbonne Université, Paris, France
- Institut du Cerveau – Paris Brain Institute – ICM, Paris, France
- Inserm, Paris, France
- CNRS, Paris, France
- AP-HP, Hôpital de la Pitié-Salpêtrière, Paris, France
| | - Pascal Lu
- Inria, Aramis Project-Team, Paris, France
- Sorbonne Université, Paris, France
- Institut du Cerveau – Paris Brain Institute – ICM, Paris, France
- Inserm, Paris, France
- CNRS, Paris, France
- AP-HP, Hôpital de la Pitié-Salpêtrière, Paris, France
| | - Arnaud Marcoux
- Inria, Aramis Project-Team, Paris, France
- Sorbonne Université, Paris, France
- Institut du Cerveau – Paris Brain Institute – ICM, Paris, France
- Inserm, Paris, France
- CNRS, Paris, France
- AP-HP, Hôpital de la Pitié-Salpêtrière, Paris, France
| | - Tristan Moreau
- Sorbonne Université, Paris, France
- Institut du Cerveau – Paris Brain Institute – ICM, Paris, France
- Inserm, Paris, France
- CNRS, Paris, France
- AP-HP, Hôpital de la Pitié-Salpêtrière, Paris, France
| | - Jorge Samper-González
- Inria, Aramis Project-Team, Paris, France
- Sorbonne Université, Paris, France
- Institut du Cerveau – Paris Brain Institute – ICM, Paris, France
- Inserm, Paris, France
- CNRS, Paris, France
- AP-HP, Hôpital de la Pitié-Salpêtrière, Paris, France
| | - Marc Teichmann
- Sorbonne Université, Paris, France
- Institut du Cerveau – Paris Brain Institute – ICM, Paris, France
- Inserm, Paris, France
- CNRS, Paris, France
- AP-HP, Hôpital de la Pitié-Salpêtrière, Paris, France
- Department of Neurology, Institute for Memory and Alzheimer's Disease, Pitié-Salpêtrière Hospital, AP-HP, Paris, France
| | - Elina Thibeau-Sutre
- Inria, Aramis Project-Team, Paris, France
- Sorbonne Université, Paris, France
- Institut du Cerveau – Paris Brain Institute – ICM, Paris, France
- Inserm, Paris, France
- CNRS, Paris, France
- AP-HP, Hôpital de la Pitié-Salpêtrière, Paris, France
| | - Ghislain Vaillant
- Inria, Aramis Project-Team, Paris, France
- Sorbonne Université, Paris, France
- Institut du Cerveau – Paris Brain Institute – ICM, Paris, France
- Inserm, Paris, France
- CNRS, Paris, France
- AP-HP, Hôpital de la Pitié-Salpêtrière, Paris, France
| | - Junhao Wen
- Inria, Aramis Project-Team, Paris, France
- Sorbonne Université, Paris, France
- Institut du Cerveau – Paris Brain Institute – ICM, Paris, France
- Inserm, Paris, France
- CNRS, Paris, France
- AP-HP, Hôpital de la Pitié-Salpêtrière, Paris, France
| | - Adam Wild
- Inria, Aramis Project-Team, Paris, France
- Sorbonne Université, Paris, France
- Institut du Cerveau – Paris Brain Institute – ICM, Paris, France
- Inserm, Paris, France
- CNRS, Paris, France
- AP-HP, Hôpital de la Pitié-Salpêtrière, Paris, France
| | - Marie-Odile Habert
- Sorbonne Université, CNRS, INSERM, Laboratoire d'Imagerie Biomédicale (LIB), Paris, France
- AP-HP, Hôpital Pitié-Salpêtrière, Médecine Nucléaire, Paris, France
- Centre d'Acquisition et Traitement des Images, Paris, France
| | - Stanley Durrleman
- Inria, Aramis Project-Team, Paris, France
- Sorbonne Université, Paris, France
- Institut du Cerveau – Paris Brain Institute – ICM, Paris, France
- Inserm, Paris, France
- CNRS, Paris, France
- AP-HP, Hôpital de la Pitié-Salpêtrière, Paris, France
| | - Olivier Colliot
- Inria, Aramis Project-Team, Paris, France
- Sorbonne Université, Paris, France
- Institut du Cerveau – Paris Brain Institute – ICM, Paris, France
- Inserm, Paris, France
- CNRS, Paris, France
- AP-HP, Hôpital de la Pitié-Salpêtrière, Paris, France
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Tuncel H, Visser D, Yaqub M, Timmers T, Wolters EE, Ossenkoppele R, van der Flier WM, van Berckel BNM, Boellaard R, Golla SSV. Effect of Shortening the Scan Duration on Quantitative Accuracy of [ 18F]Flortaucipir Studies. Mol Imaging Biol 2021; 23:604-613. [PMID: 33496930 PMCID: PMC8277654 DOI: 10.1007/s11307-021-01581-5] [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: 10/21/2020] [Revised: 12/31/2020] [Accepted: 01/06/2021] [Indexed: 12/04/2022]
Abstract
PURPOSE Dynamic positron emission tomography (PET) protocols allow for accurate quantification of [18F]flortaucipir-specific binding. However, dynamic acquisitions can be challenging given the long required scan duration of 130 min. The current study assessed the effect of shorter scan protocols for [18F]flortaucipir on its quantitative accuracy. PROCEDURES Two study cohorts with Alzheimer's disease (AD) patients and healthy controls (HC) were included. All subjects underwent a 130-min dynamic [18F]flortaucipir PET scan consisting of two parts (0-60/80-130 min) post-injection. Arterial sampling was acquired during scanning of the first cohort only. For the second cohort, a second PET scan was acquired within 1-4 weeks of the first PET scan to assess test-retest repeatability (TRT). Three alternative time intervals were explored for the second part of the scan: 80-120, 80-110 and 80-100 min. Furthermore, the first part of the scan was also varied: 0-50, 0-40 and 0-30 min time intervals were assessed. The gap in the reference TACs was interpolated using four different interpolation methods: population-based input function 2T4k_VB (POP-IP_2T4k_VB), cubic, linear and exponential. Regional binding potential (BPND) and relative tracer delivery (R1) values estimated using simplified reference tissue model (SRTM) and/or receptor parametric mapping (RPM). The different scan protocols were compared to the respective values estimated using the original scan acquisition. In addition, TRT of the RPM BPND and R1 values estimated using the optimal shortest scan duration was also assessed. RESULTS RPM BPND and R1 obtained using 0-30/80-100 min scan and POP-IP_2T4k_VB reference region interpolation had an excellent correlation with the respective parametric values estimated using the original scan duration (r2 > 0.95). The TRT of RPM BPND and R1 using the shortest scan duration was - 1 ± 5 % and - 1 ± 6 % respectively. CONCLUSIONS This study demonstrated that [18F]flortaucipir PET scan can be acquired with sufficient quantitative accuracy using only 50 min of dual-time-window scanning time.
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Affiliation(s)
- Hayel Tuncel
- Department of Radiology & Nuclear Medicine, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands.
| | - Denise Visser
- Department of Radiology & Nuclear Medicine, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands
| | - Maqsood Yaqub
- Department of Radiology & Nuclear Medicine, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands
| | - Tessa Timmers
- Department of Radiology & Nuclear Medicine, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Emma E Wolters
- Department of Radiology & Nuclear Medicine, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Rik Ossenkoppele
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
- Clinical Memory Research Unit, Lund University, Lund, Sweden
| | - Wiesje M van der Flier
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
- Department of Epidemiology and Data Sciences, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Bart N M van Berckel
- Department of Radiology & Nuclear Medicine, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands
| | - Ronald Boellaard
- Department of Radiology & Nuclear Medicine, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands
| | - Sandeep S V Golla
- Department of Radiology & Nuclear Medicine, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands
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Bach P, Frischknecht U, Reinhard I, Bekier N, Demirakca T, Ende G, Vollstädt-Klein S, Kiefer F, Hermann D. Impaired working memory performance in opioid-dependent patients is related to reduced insula gray matter volume: a voxel-based morphometric study. Eur Arch Psychiatry Clin Neurosci 2021; 271:813-822. [PMID: 31422451 DOI: 10.1007/s00406-019-01052-7] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/25/2019] [Accepted: 08/07/2019] [Indexed: 11/30/2022]
Abstract
Opioid-dependent patients frequently show deficits in multiple cognitive domains that might impact on their everyday life performance and interfere with therapeutic efforts. To date, the neurobiological underpinnings of those deficits remain to be determined. We investigated working memory performance and gray matter volume (GMV) differences in 17 patients on opioid maintenance treatment (OMT) and 17 healthy individuals using magnetic resonance imaging and voxel-based morphometry. In addition, we explored associations between substance intake, gray matter volume, and working memory task performance. Patients on OMT committed more errors during the working memory task than healthy individuals and showed smaller insula and putamen GMV. The duration of heroin use prior to OMT was associated with working memory performance and insula GMV in patients. Neither the substitution agent (methadone and buprenorphine) nor concurrent abuse of illegal substances during the 3 months prior to the experiment was significantly associated with GMV. Results indicate that impaired working memory performance and structural deficits in the insula of opioid-dependent patients are related to the duration of heroin use. This suggests that early inclusion into OMT or abstinence-oriented therapies that shorten the period of heroin abuse may limit the impairments to GMV and cognitive performance of opioid-dependent individuals.
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Affiliation(s)
- Patrick Bach
- Department of Addictive Behavior and Addiction Medicine, Central Institute of Mental Health, University of Heidelberg, Medical Faculty Mannheim, Square J5, 68159, Mannheim, Germany.
| | - Ulrich Frischknecht
- Department of Addictive Behavior and Addiction Medicine, Central Institute of Mental Health, University of Heidelberg, Medical Faculty Mannheim, Square J5, 68159, Mannheim, Germany
| | - Iris Reinhard
- Department of Biostatistics, Central Institute of Mental Health, University of Heidelberg, Medical Faculty Mannheim, Mannheim, Germany
| | - Nina Bekier
- Department of Addictive Behavior and Addiction Medicine, Central Institute of Mental Health, University of Heidelberg, Medical Faculty Mannheim, Square J5, 68159, Mannheim, Germany
| | - Traute Demirakca
- Department of Neuroimaging, Central Institute of Mental Health, University of Heidelberg, Medical Faculty Mannheim, Mannheim, Germany
| | - Gabriele Ende
- Department of Neuroimaging, Central Institute of Mental Health, University of Heidelberg, Medical Faculty Mannheim, Mannheim, Germany
| | - Sabine Vollstädt-Klein
- Department of Addictive Behavior and Addiction Medicine, Central Institute of Mental Health, University of Heidelberg, Medical Faculty Mannheim, Square J5, 68159, Mannheim, Germany
| | - Falk Kiefer
- Department of Addictive Behavior and Addiction Medicine, Central Institute of Mental Health, University of Heidelberg, Medical Faculty Mannheim, Square J5, 68159, Mannheim, Germany
| | - Derik Hermann
- Department of Addictive Behavior and Addiction Medicine, Central Institute of Mental Health, University of Heidelberg, Medical Faculty Mannheim, Square J5, 68159, Mannheim, Germany
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262
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Borgan F, O'Daly O, Veronese M, Reis Marques T, Laurikainen H, Hietala J, Howes O. The neural and molecular basis of working memory function in psychosis: a multimodal PET-fMRI study. Mol Psychiatry 2021; 26:4464-4474. [PMID: 31801965 PMCID: PMC8550949 DOI: 10.1038/s41380-019-0619-6] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/28/2019] [Revised: 11/13/2019] [Accepted: 11/21/2019] [Indexed: 01/10/2023]
Abstract
Working memory (WM) deficits predict clinical and functional outcomes in schizophrenia but are poorly understood and unaddressed by existing treatments. WM encoding and WM retrieval have not been investigated in schizophrenia without the confounds of illness chronicity or the use of antipsychotics and illicit substances. Moreover, it is unclear if WM deficits may be linked to cannabinoid 1 receptor dysfunction in schizophrenia. Sixty-six volunteers (35 controls, 31 drug-free patients with diagnoses of schizophrenia or schizoaffective disorder) completed the Sternberg Item-Recognition paradigm during an fMRI scan. Neural activation during WM encoding and WM retrieval was indexed using the blood-oxygen-level-dependent hemodynamic response. A subset of volunteers (20 controls, 20 drug-free patients) underwent a dynamic PET scan to measure [11C] MePPEP distribution volume (ml/cm3) to index CB1R availability. In a whole-brain analysis, there was a significant main effect of group on task-related BOLD responses in the superior parietal lobule during WM encoding, and the bilateral hippocampus during WM retrieval. Region of interest analyses in volunteers who had PET/fMRI indicated that there was a significant main effect of group on task-related BOLD responses in the right hippocampus, left DLPFC, left ACC during encoding; and in the bilateral hippocampus, striatum, ACC and right DLPFC during retrieval. Striatal CB1R availability was positively associated with mean striatal activation during WM retrieval in male patients (R = 0.5, p = 0.02) but not male controls (R = -0.20, p = 0.53), and this was significantly different between groups, Z = -2.20, p = 0.02. Striatal CB1R may contribute to the pathophysiology of WM deficits in male patients and have implications for drug development in schizophrenia.
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Affiliation(s)
- Faith Borgan
- Psychosis Studies Department, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, England.
- Institute of Clinical Sciences, Faculty of Medicine, Imperial College London, Hammersmith Hospital, London, England.
| | - Owen O'Daly
- Centre for Neuroimaging Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, England
| | - Mattia Veronese
- Centre for Neuroimaging Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, England
| | - Tiago Reis Marques
- Psychosis Studies Department, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, England
- Institute of Clinical Sciences, Faculty of Medicine, Imperial College London, Hammersmith Hospital, London, England
| | - Heikki Laurikainen
- Turku PET Centre, Turku University Hospital, Turku, Finland
- Department of Psychiatry, University of Turku and Turku University Hospital, Turku, Finland
| | - Jarmo Hietala
- Turku PET Centre, Turku University Hospital, Turku, Finland
- Department of Psychiatry, University of Turku and Turku University Hospital, Turku, Finland
| | - Oliver Howes
- Psychosis Studies Department, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, England
- Centre for Neuroimaging Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, England
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263
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Kreeke JA, Nguyen HT, Konijnenberg E, Tomassen J, Braber A, Kate M, Yaqub M, Berckel B, Lammertsma AA, Boomsma DI, Tan HS, Visser PJ, Verbraak FD. Longitudinal retinal layer changes in preclinical Alzheimer's disease. Acta Ophthalmol 2021; 99:538-544. [PMID: 33073531 PMCID: PMC8451744 DOI: 10.1111/aos.14640] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2020] [Revised: 06/21/2020] [Accepted: 09/09/2020] [Indexed: 12/15/2022]
Abstract
Purpose Several studies found reduced retinal thickness on optical coherence tomography (OCT) in Alzheimer’s disease (AD), even in preclinical stages, labelling this technique of interest as biomarker. In this study, we examine retinal thickness changes in preclinical AD, as defined by cognitively normal individuals with amyloid‐beta (Aβ) on positron emission tomography (PET). Methods For this monocentre study, 145 cognitively healthy monozygotic twins aged ≥ 60 were included from the Netherlands Twin Register taking part in the EMIF‐AD PreclinAD study. At baseline, participants underwent [18F] flutemetamol PET that was visually rated for cortical Aβ. Binding potential was calculated as continuous measure for Aβ. Optical coherence tomography (OCT) was performed at baseline and after 22 months to assess changes in total and individual inner retinal layer thickness in the macular region (ETDRS circles) and peripapillary retinal nerve fibre layer thickness. Differences in rate of change between amyloid‐beta positive and negative individuals and associations between binding potential and change in retinal thickness were evaluated. Results Sixteen participants (11%) were positive for Aβ. Change in retinal thickness did not differ in any region between Aβ+ and Aβ− individuals. A positive association between binding potential and change in inner plexiform layer thickness was observed in the inner macular ring (beta = 1.708, CI = 0.575 to 2.841, p = 0.003). Conclusion Aβ+ individuals did not differ in rate of change of any retinal layer compared to controls, but higher binding potential at baseline was associated with less IPL thinning over time. Optical coherence tomography (OCT) as a longitudinal screening tool for preclinical AD seems limited, but IPL changes offer leads for further research.
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Affiliation(s)
- Jacoba A. Kreeke
- Ophthalmology Dept. Amsterdam UMC, location VUmc Amsterdam The Netherlands
| | - Hoang Ton Nguyen
- Ophthalmology Dept. Amsterdam UMC, location VUmc Amsterdam The Netherlands
| | - Elles Konijnenberg
- Alzheimer Center Neuroscience Amsterdam Amsterdam UMC, location VUmc Amsterdam The Netherlands
| | - Jori Tomassen
- Alzheimer Center Neuroscience Amsterdam Amsterdam UMC, location VUmc Amsterdam The Netherlands
| | - Anouk Braber
- Alzheimer Center Neuroscience Amsterdam Amsterdam UMC, location VUmc Amsterdam The Netherlands
- Dept. of Biological Psychology VU University Amsterdam Amsterdam The Netherlands
| | - Mara Kate
- Alzheimer Center Neuroscience Amsterdam Amsterdam UMC, location VUmc Amsterdam The Netherlands
- Department of Radiology and Nuclear Medicine Amsterdam UMC, location VUmc Amsterdam The Netherlands
| | - Maqsood Yaqub
- Department of Radiology and Nuclear Medicine Amsterdam UMC, location VUmc Amsterdam The Netherlands
| | - Bart Berckel
- Department of Radiology and Nuclear Medicine Amsterdam UMC, location VUmc Amsterdam The Netherlands
| | - Adriaan A. Lammertsma
- Department of Radiology and Nuclear Medicine Amsterdam UMC, location VUmc Amsterdam The Netherlands
| | - Dorret I. Boomsma
- Dept. of Biological Psychology VU University Amsterdam Amsterdam The Netherlands
| | - H. Stevie Tan
- Ophthalmology Dept. Amsterdam UMC, location VUmc Amsterdam The Netherlands
| | - Pieter Jelle Visser
- Alzheimer Center Neuroscience Amsterdam Amsterdam UMC, location VUmc Amsterdam The Netherlands
| | - Frank D. Verbraak
- Ophthalmology Dept. Amsterdam UMC, location VUmc Amsterdam The Netherlands
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Hjorth OR, Frick A, Gingnell M, Hoppe JM, Faria V, Hultberg S, Alaie I, Månsson KNT, Wahlstedt K, Jonasson M, Lubberink M, Antoni G, Fredrikson M, Furmark T. Expression and co-expression of serotonin and dopamine transporters in social anxiety disorder: a multitracer positron emission tomography study. Mol Psychiatry 2021; 26:3970-3979. [PMID: 31822819 DOI: 10.1038/s41380-019-0618-7] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/04/2019] [Revised: 11/20/2019] [Accepted: 11/21/2019] [Indexed: 11/09/2022]
Abstract
Serotonin and dopamine are putatively involved in the etiology and treatment of anxiety disorders, but positron emission tomography (PET) studies probing the two neurotransmitters in the same individuals are lacking. The aim of this multitracer PET study was to evaluate the regional expression and co-expression of the transporter proteins for serotonin (SERT) and dopamine (DAT) in patients with social anxiety disorder (SAD). Voxel-wise binding potentials (BPND) for SERT and DAT were determined in 27 patients with SAD and 43 age- and sex-matched healthy controls, using the radioligands [11C]DASB (3-amino-4-(2-dimethylaminomethylphenylsulfanyl)-benzonitrile) and [11C]PE2I (N-(3-iodopro-2E-enyl)-2beta-carbomethoxy-3beta-(4'-methylphenyl)nortropane). Results showed that, within transmitter systems, SAD patients exhibited higher SERT binding in the nucleus accumbens while DAT availability in the amygdala, hippocampus, and putamen correlated positively with symptom severity. At a more lenient statistical threshold, SERT and DAT BPND were also higher in other striatal and limbic regions in patients, and correlated with symptom severity, whereas no brain region showed higher binding in healthy controls. Moreover, SERT/DAT co-expression was significantly higher in SAD patients in the amygdala, nucleus accumbens, caudate, putamen, and posterior ventral thalamus, while lower co-expression was noted in the dorsomedial thalamus. Follow-up logistic regression analysis confirmed that SAD diagnosis was significantly predicted by the statistical interaction between SERT and DAT availability, in the amygdala, putamen, and dorsomedial thalamus. Thus, SAD was associated with mainly increased expression and co-expression of the transporters for serotonin and dopamine in fear and reward-related brain regions. Resultant monoamine dysregulation may underlie SAD symptomatology and constitute a target for treatment.
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Affiliation(s)
- Olof R Hjorth
- Department of Psychology, Uppsala University, Uppsala, Sweden.
| | - Andreas Frick
- Department of Psychology, Uppsala University, Uppsala, Sweden.,The Beijer Laboratory, Department of Neuroscience, Psychiatry, Uppsala University, Uppsala, Sweden.,Department of Neuroscience, Psychiatry, Uppsala University, Uppsala, Sweden
| | - Malin Gingnell
- Department of Psychology, Uppsala University, Uppsala, Sweden.,Department of Neuroscience, Psychiatry, Uppsala University, Uppsala, Sweden
| | - Johanna M Hoppe
- Department of Psychology, Uppsala University, Uppsala, Sweden
| | - Vanda Faria
- Department of Psychology, Uppsala University, Uppsala, Sweden.,Center for Pain and the Brain, Department of Anesthesiology Perioperative and Pain Medicine, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA.,Smell & Taste Clinic, Department of Otorhinolaryngology, TU Dresden, Dresden, Germany
| | - Sara Hultberg
- Department of Psychology, Uppsala University, Uppsala, Sweden
| | - Iman Alaie
- Department of Neuroscience, Child and Adolescent Psychiatry, Uppsala University, Uppsala, Sweden
| | - Kristoffer N T Månsson
- Centre for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, Germany.,Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.,Max Planck UCL Centre for Computational Psychiatry and Ageing Research, Berlin, Germany
| | - Kurt Wahlstedt
- Department of Psychology, Uppsala University, Uppsala, Sweden
| | - My Jonasson
- Department of Surgical Sciences-Nuclear medicine and PET, Uppsala University, Uppsala, Sweden
| | - Mark Lubberink
- Department of Surgical Sciences-Nuclear medicine and PET, Uppsala University, Uppsala, Sweden
| | - Gunnar Antoni
- Department of Medicinal Chemistry, Uppsala University, Uppsala, Sweden
| | - Mats Fredrikson
- Department of Psychology, Uppsala University, Uppsala, Sweden.,Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Tomas Furmark
- Department of Psychology, Uppsala University, Uppsala, Sweden
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265
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Garnier-Crussard A, Bougacha S, Wirth M, Dautricourt S, Sherif S, Landeau B, Gonneaud J, De Flores R, de la Sayette V, Vivien D, Krolak-Salmon P, Chételat G. White matter hyperintensity topography in Alzheimer's disease and links to cognition. Alzheimers Dement 2021; 18:422-433. [PMID: 34322985 PMCID: PMC9292254 DOI: 10.1002/alz.12410] [Citation(s) in RCA: 82] [Impact Index Per Article: 20.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2020] [Revised: 06/09/2021] [Accepted: 06/09/2021] [Indexed: 01/18/2023]
Abstract
Introduction White matter hyperintensities (WMH) are often described in Alzheimer's disease (AD), but their topography and specific relationships with cognition remain unclear. Methods Regional WMH were estimated in 54 cognitively impaired amyloid beta–positive AD (Aβpos‐AD), compared to 40 cognitively unimpaired amyloid beta–negative older controls (Aβneg‐controls) matched for vascular risk factors. The cross‐sectional association between regional WMH volume and cognition was assessed within each group, controlling for cerebral amyloid burden, global cortical atrophy, and hippocampal atrophy. Results WMH volume was larger in Aβpos‐AD compared to Aβneg‐controls in all regions, with the greatest changes in the splenium of the corpus callosum (S‐CC). In Aβpos‐AD patients, larger total and regional WMH volume, especially in the S‐CC, was strongly associated with decreased cognition. Discussion WMH specifically contribute to lower cognition in AD, independently from amyloid deposition and atrophy. This study emphasizes the clinical relevance of WMH in AD, especially posterior WMH, and most notably S‐CC WMH.
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Affiliation(s)
- Antoine Garnier-Crussard
- Normandie Univ, UNICAEN, INSERM, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders,", Institut Blood and Brain @ Caen-Normandie, Cyceron, Caen, France.,Clinical and Research Memory Center of Lyon, Lyon Institute For Elderly, Hospices Civils de Lyon, Lyon, France.,University of Lyon, Lyon, France
| | - Salma Bougacha
- Normandie Univ, UNICAEN, INSERM, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders,", Institut Blood and Brain @ Caen-Normandie, Cyceron, Caen, France
| | - Miranka Wirth
- German Center for Neurodegenerative Diseases (DZNE), Dresden, Germany
| | - Sophie Dautricourt
- Normandie Univ, UNICAEN, INSERM, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders,", Institut Blood and Brain @ Caen-Normandie, Cyceron, Caen, France.,Department of Neurology, CHU de Caen, Caen, France
| | - Siya Sherif
- Normandie Univ, UNICAEN, INSERM, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders,", Institut Blood and Brain @ Caen-Normandie, Cyceron, Caen, France
| | - Brigitte Landeau
- Normandie Univ, UNICAEN, INSERM, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders,", Institut Blood and Brain @ Caen-Normandie, Cyceron, Caen, France
| | - Julie Gonneaud
- Normandie Univ, UNICAEN, INSERM, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders,", Institut Blood and Brain @ Caen-Normandie, Cyceron, Caen, France
| | - Robin De Flores
- Normandie Univ, UNICAEN, INSERM, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders,", Institut Blood and Brain @ Caen-Normandie, Cyceron, Caen, France
| | - Vincent de la Sayette
- Department of Neurology, CHU de Caen, Caen, France.,Normandie Univ, UNICAEN, PSL Université, EPHE, INSERM, U1077, CHU de Caen, GIP Cyceron, NIMH, Caen, France
| | - Denis Vivien
- Normandie Univ, UNICAEN, INSERM, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders,", Institut Blood and Brain @ Caen-Normandie, Cyceron, Caen, France.,Department of Clinical Research, CHU de Caen, Caen, France
| | - Pierre Krolak-Salmon
- Clinical and Research Memory Center of Lyon, Lyon Institute For Elderly, Hospices Civils de Lyon, Lyon, France.,University of Lyon, Lyon, France.,Neuroscience Research Centre of Lyon, INSERM 1048, CNRS 5292, Lyon, France
| | - Gaël Chételat
- Normandie Univ, UNICAEN, INSERM, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders,", Institut Blood and Brain @ Caen-Normandie, Cyceron, Caen, France
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266
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Lucena O, Vos SB, Vakharia V, Duncan J, Ashkan K, Sparks R, Ourselin S. Enhancing the estimation of fiber orientation distributions using convolutional neural networks. Comput Biol Med 2021; 135:104643. [PMID: 34280774 DOI: 10.1016/j.compbiomed.2021.104643] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2021] [Revised: 07/07/2021] [Accepted: 07/07/2021] [Indexed: 11/17/2022]
Abstract
Local fiber orientation distributions (FODs) can be computed from diffusion magnetic resonance imaging (dMRI). The accuracy and ability of FODs to resolve complex fiber configurations benefits from acquisition protocols that sample a high number of gradient directions, a high maximum b-value, and multiple b-values. However, acquisition time and scanners that follow these standards are limited in clinical settings, often resulting in dMRI acquired at a single shell (single b-value). In this work, we learn improved FODs from clinically acquired dMRI. We evaluate patch-based 3D convolutional neural networks (CNNs) on their ability to regress multi-shell FODs from single-shell FODs, using constrained spherical deconvolution (CSD). We evaluate U-Net and High-Resolution Network (HighResNet) 3D CNN architectures on data from the Human Connectome Project and an in-house dataset. We evaluate how well each CNN can resolve FODs 1) when training and testing on datasets with the same dMRI acquisition protocol; 2) when testing on a dataset with a different dMRI acquisition protocol than used to train the CNN; and 3) when testing on a dataset with a fewer number of gradient directions than used to train the CNN. This work is a step towards more accurate FOD estimation in time- and resource-limited clinical environments.
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Affiliation(s)
- Oeslle Lucena
- School of Biomedical Engineering and Imaging Sciences, King's College London, UK.
| | - Sjoerd B Vos
- Centre for Medical Image Computing, Department of Computer Sciences, University College London, London, UK; Neuroradiological Academic Unit, University College London Queen Square Institute of Neurology, University College London, London, UK
| | - Vejay Vakharia
- Department of Clinical and Experimental Epilepsy, University College London, UK
| | - John Duncan
- Department of Clinical and Experimental Epilepsy, University College London, UK; National Hospital for Neurology and Neurosurgery, Queen Square, UK
| | | | - Rachel Sparks
- School of Biomedical Engineering and Imaging Sciences, King's College London, UK
| | - Sebastien Ourselin
- School of Biomedical Engineering and Imaging Sciences, King's College London, UK
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267
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Laurencin C, Lancelot S, Gobert F, Redouté J, Mérida I, Iecker T, Liger F, Irace Z, Greusard E, Lamberet L, Bars DL, Costes N, Ballanger B. Modeling [ 11C]yohimbine PET human brain kinetics with test-retest reliability, competition sensitivity studies and search for a suitable reference region. Neuroimage 2021; 240:118328. [PMID: 34224852 DOI: 10.1016/j.neuroimage.2021.118328] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2021] [Revised: 05/20/2021] [Accepted: 06/30/2021] [Indexed: 10/20/2022] Open
Abstract
Previous work introduced the [11C]yohimbine as a suitable ligand of central α2-adrenoreceptors (α2-ARs) for PET imaging. However, reproducibility of [11C]yohimbine PET measurements in healthy humans estimated with a simplified modeling method with reference region, as well as sensitivity of [11C]yohimbine to noradrenergic competition were not evaluated. The objectives of the present study were therefore to fill this gap. METHODS Thirteen healthy humans underwent two [11C]yohimbine 90-minute dynamic scans performed on a PET-MRI scanner. Seven had arterial blood sampling with metabolite assessment and plasmatic yohimbine free fraction evaluation at the first scan to have arterial input function and test appropriate kinetic modeling. The second scan was a simple retest for 6 subjects to evaluate the test-retest reproducibility. For the remaining 7 subjects the second scan was a challenge study with the administration of a single oral dose of 150 µg of clonidine 90 min before the PET scan. Parametric images of α2-ARs distribution volume ratios (DVR) were generated with two non-invasive models: Logan graphical analysis with Reference (LREF) and Simplified Reference Tissue Method (SRTM). Three reference regions (cerebellum white matter (CERWM), frontal white matter (FLWM), and corpus callosum (CC)) were tested. RESULTS We showed high test-retest reproducibility of DVR estimation with LREF and SRTM regardless of reference region (CC, CERWM, FLWM). The best fit was obtained with SRTMCC (r2=0.94). Test-retest showed that the SRTMCC is highly reproducible (mean ICC>0.7), with a slight bias (-1.8%), whereas SRTMCERWM had lower bias (-0.1%), and excellent ICC (mean>0.8). Using SRTMCC, regional changes have been observed after clonidine administration with a significant increase reported in the amygdala and striatum as well as in several posterior cortical areas as revealed with the voxel-based analysis. CONCLUSION The results add experimental support for the suitability of [11C]yohimbine PET in the quantitative assessment of α2-ARs occupancy in vivo in the human brain. Trial registration EudraCT 2018-000380-82.
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Affiliation(s)
- Chloé Laurencin
- Lyon Neuroscience Research Center (CRNL), INSERM U1028, CNRS UMR5292, University Lyon 1, Lyon F-69000, France; Pierre Wertheimer Neurological Hospital, Hospices Civils de Lyon (HCL), Lyon, France
| | - Sophie Lancelot
- Lyon Neuroscience Research Center (CRNL), INSERM U1028, CNRS UMR5292, University Lyon 1, Lyon F-69000, France; Pierre Wertheimer Neurological Hospital, Hospices Civils de Lyon (HCL), Lyon, France; CERMEP, Lyon, France
| | - Florent Gobert
- Pierre Wertheimer Neurological Hospital, Hospices Civils de Lyon (HCL), Lyon, France
| | | | | | | | | | - Zacharie Irace
- CERMEP, Lyon, France; Siemens-Healthcare, SAS, Saint-Denis, France
| | - Elise Greusard
- Pierre Wertheimer Neurological Hospital, Hospices Civils de Lyon (HCL), Lyon, France; CERMEP, Lyon, France
| | - Ludovic Lamberet
- Pierre Wertheimer Neurological Hospital, Hospices Civils de Lyon (HCL), Lyon, France; CERMEP, Lyon, France
| | - Didier Le Bars
- Pierre Wertheimer Neurological Hospital, Hospices Civils de Lyon (HCL), Lyon, France; CERMEP, Lyon, France
| | - Nicolas Costes
- Lyon Neuroscience Research Center (CRNL), INSERM U1028, CNRS UMR5292, University Lyon 1, Lyon F-69000, France; CERMEP, Lyon, France
| | - Bénédicte Ballanger
- Lyon Neuroscience Research Center (CRNL), INSERM U1028, CNRS UMR5292, University Lyon 1, Lyon F-69000, France.
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268
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Vanhoutte M, Landeau B, Sherif S, de la Sayette V, Dautricourt S, Abbas A, Manrique A, Chocat A, Chételat G. Evaluation of the early-phase [ 18F]AV45 PET as an optimal surrogate of [ 18F]FDG PET in ageing and Alzheimer's clinical syndrome. Neuroimage Clin 2021; 31:102750. [PMID: 34247116 PMCID: PMC8274342 DOI: 10.1016/j.nicl.2021.102750] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2021] [Revised: 06/27/2021] [Accepted: 06/28/2021] [Indexed: 12/05/2022]
Abstract
Dual-phase [18F]AV45 positron emission tomography (PET) is highly promising in the assessment of neurodegenerative diseases, allowing to obtain information on both neurodegeneration (early-phase; eAV45) and amyloid deposition (late-phase; lAV45) which are highly complementary; yet eAV45 needs further evaluation. This study aims at validating eAV45 as an optimal proxy of [18F]FDG PET in a large mixed-population of healthy ageing and Alzheimer's clinical syndrome participants (n = 191) who had [18F]FDG PET, eAV45 and lAV45 scans. We found early time frame 0-4 min to give maximal correlation with [18F]FDG PET and minimal correlation with lAV45. Moreover, maximal overlap of [18F]FDG PET versus eAV45 associations with clinical diagnosis and cognition was obtained with pons scaling. Across reference regions, classification performance between clinical subgroups was similar for both eAV45 and [18F]FDG PET. These findings highlight the optimal use of eAV45 to assess neurodegeneration as a validated proxy of [18F]FDG PET. On top of this purpose, this study showed that combined [18F]AV45 PET dual-biomarker even outperformed [18F]FDG PET or lAV45 alone.
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Affiliation(s)
- Matthieu Vanhoutte
- Inserm UMR-S U1237, Caen-Normandie University, GIP Cyceron, Caen, France.
| | - Brigitte Landeau
- Inserm UMR-S U1237, Caen-Normandie University, GIP Cyceron, Caen, France
| | - Siya Sherif
- Inserm UMR-S U1237, Caen-Normandie University, GIP Cyceron, Caen, France
| | - Vincent de la Sayette
- Inserm U1077, Caen-Normandie University, École Pratique des Hautes Études, Caen, France; University Hospital, Neurology Department, Caen, France
| | - Sophie Dautricourt
- Inserm UMR-S U1237, Caen-Normandie University, GIP Cyceron, Caen, France; University Hospital, Neurology Department, Caen, France
| | - Ahmed Abbas
- Inserm U1077, Caen-Normandie University, École Pratique des Hautes Études, Caen, France
| | - Alain Manrique
- University Hospital, Nuclear Medicine Department, Caen, France
| | - Anne Chocat
- Inserm UMR-S U1237, Caen-Normandie University, GIP Cyceron, Caen, France
| | - Gaël Chételat
- Inserm UMR-S U1237, Caen-Normandie University, GIP Cyceron, Caen, France; Inserm U1077, Caen-Normandie University, École Pratique des Hautes Études, Caen, France.
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269
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Kim S, Shin SH, Santangelo B, Veronese M, Kang SK, Lee JS, Cheon GJ, Lee W, Kwon JS, Howes OD, Kim E. Dopamine dysregulation in psychotic relapse after antipsychotic discontinuation: an [ 18F]DOPA and [ 11C]raclopride PET study in first-episode psychosis. Mol Psychiatry 2021; 26:3476-3488. [PMID: 32929214 DOI: 10.1038/s41380-020-00879-0] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/22/2020] [Revised: 08/24/2020] [Accepted: 09/03/2020] [Indexed: 01/09/2023]
Abstract
Although antipsychotic drugs are effective for relieving the psychotic symptoms of first-episode psychosis (FEP), psychotic relapse is common during the course of the illness. While some FEPs remain remitted even without medication, antipsychotic discontinuation is regarded as the most common risk factor for the relapse. Considering the actions of antipsychotic drugs on presynaptic and postsynaptic dopamine dysregulation, this study evaluated possible mechanisms underlying relapse after antipsychotic discontinuation. Twenty five FEPs who were clinically stable and 14 matched healthy controls were enrolled. Striatal dopamine activity was assessed as Kicer value using [18F]DOPA PET before and 6 weeks after antipsychotic discontinuation. The D2/3 receptor availability was measured as BPND using [11C]raclopride PET after antipsychotic discontinuation. Healthy controls also underwent PET scans according to the corresponding schedule of the patients. Patients were monitored for psychotic relapse during 12 weeks after antipsychotic discontinuation. 40% of the patients showed psychotic relapse after antipsychotic discontinuation. The change in Kicer value over time significantly differed between relapsed, non-relapsed patients and healthy controls (Week*Group: F = 4.827, df = 2,253.193, p = 0.009). In relapsed patients, a significant correlation was found between baseline striatal Kicer values and time to relapse after antipsychotic discontinuation (R2 = 0.518, p = 0.018). BPND were not significantly different between relapsed, non-relapsed patients and healthy controls (F = 1.402, df = 2,32.000, p = 0.261). These results suggest that dysfunctional dopamine autoregulation might precipitate psychotic relapse after antipsychotic discontinuation in FEP. This finding could be used for developing a strategy for the prevention of psychotic relapse related to antipsychotic discontinuation.
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Affiliation(s)
- Seoyoung Kim
- Department of Psychiatry, Seoul National University Bundang Hospital, Gyeonggi-do, Republic of Korea
| | - Sang Ho Shin
- Department of Psychiatry, Seoul National University Bundang Hospital, Gyeonggi-do, Republic of Korea
| | - Barbara Santangelo
- Centre for Neuroimaging Science, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Mattia Veronese
- Centre for Neuroimaging Science, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Seung Kwan Kang
- Department of Nuclear Medicine, College of Medicine, Seoul National University, Seoul, Republic of Korea.,Department of Biomedical Sciences, College of Medicine, Seoul National University, Seoul, Republic of Korea
| | - Jae Sung Lee
- Department of Nuclear Medicine, College of Medicine, Seoul National University, Seoul, Republic of Korea.,Department of Biomedical Sciences, College of Medicine, Seoul National University, Seoul, Republic of Korea
| | - Gi Jeong Cheon
- Department of Nuclear Medicine, College of Medicine, Seoul National University, Seoul, Republic of Korea.,Institute of Radiation Medicine, College of Medicine, Seoul National University, Seoul, Republic of Korea
| | - Woojoo Lee
- Department of Public Health Science, Graduate School of Public Health, Seoul National University, Seoul, Republic of Korea
| | - Jun Soo Kwon
- Department of Psychiatry, College of Medicine, Seoul National University, Seoul, Republic of Korea.,Department of Brain & Cognitive Sciences, College of Natural Sciences, Seoul National University, Seoul, Republic of Korea
| | - Oliver D Howes
- Department of Psychosis studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.,Psychiatric Imaging, Medical Research Council Clinical Sciences Centre, Imperial College London, Hammersmith Hospital Campus, London, UK
| | - Euitae Kim
- Department of Psychiatry, Seoul National University Bundang Hospital, Gyeonggi-do, Republic of Korea. .,Department of Psychiatry, College of Medicine, Seoul National University, Seoul, Republic of Korea. .,Department of Brain & Cognitive Sciences, College of Natural Sciences, Seoul National University, Seoul, Republic of Korea.
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270
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Fyllingen EH, Bø LE, Reinertsen I, Jakola AS, Sagberg LM, Berntsen EM, Salvesen Ø, Solheim O. Survival of glioblastoma in relation to tumor location: a statistical tumor atlas of a population-based cohort. Acta Neurochir (Wien) 2021; 163:1895-1905. [PMID: 33742279 PMCID: PMC8195961 DOI: 10.1007/s00701-021-04802-6] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2019] [Accepted: 03/03/2021] [Indexed: 02/03/2023]
Abstract
Purpose Previous studies on the effect of tumor location on overall survival in glioblastoma have found conflicting results. Based on statistical maps, we sought to explore the effect of tumor location on overall survival in a population-based cohort of patients with glioblastoma and IDH wild-type astrocytoma WHO grade II–III with radiological necrosis. Methods Patients were divided into three groups based on overall survival: < 6 months, 6–24 months, and > 24 months. Statistical maps exploring differences in tumor location between these three groups were calculated from pre-treatment magnetic resonance imaging scans. Based on the results, multivariable Cox regression analyses were performed to explore the possible independent effect of centrally located tumors compared to known prognostic factors by use of distance from center of the third ventricle to contrast-enhancing tumor border in centimeters as a continuous variable. Results A total of 215 patients were included in the statistical maps. Central tumor location (corpus callosum, basal ganglia) was associated with overall survival < 6 months. There was also a reduced overall survival in patients with tumors in the left temporal lobe pole. Tumors in the dorsomedial right temporal lobe and the white matter region involving the left anterior paracentral gyrus/dorsal supplementary motor area/medial precentral gyrus were associated with overall survival > 24 months. Increased distance from center of the third ventricle to contrast-enhancing tumor border was a positive prognostic factor for survival in elderly patients, but less so in younger patients. Conclusions Central tumor location was associated with worse prognosis. Distance from center of the third ventricle to contrast-enhancing tumor border may be a pragmatic prognostic factor in elderly patients. Supplementary Information The online version contains supplementary material available at 10.1007/s00701-021-04802-6.
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271
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Sebök M, van Niftrik CHB, Wegener S, Luft A, Regli L, Fierstra J. Agreement of novel hemodynamic imaging parameters for the acute and chronic stages of ischemic stroke: a matched-pair cohort study. Neurosurg Focus 2021; 51:E12. [PMID: 34198249 DOI: 10.3171/2021.4.focus21125] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2021] [Accepted: 04/07/2021] [Indexed: 11/06/2022]
Abstract
OBJECTIVE In symptomatic patients with cerebrovascular steno-occlusive disease, impaired blood oxygenation level-dependent cerebrovascular reactivity (BOLD-CVR) and increased flow velocity of the P2 segment of the posterior cerebral artery (PCA-P2) on transcranial Doppler (TCD) ultrasonography have been introduced as emerging clinical imaging parameters to identify patients at high risk for recurrent ischemic events. Since hemodynamic physiology differs between the acute and chronic stages of ischemic stroke, the authors sought to investigate whether those parameters have merit for both the acute and chronic stages of ischemic stroke. METHODS From a prospective database, patients who underwent BOLD-CVR and TCD examinations in the acute stroke stage (< 10 days) were matched to patients in the chronic stroke stage (> 3 months). A linear regression analysis for both groups was performed between ipsilateral PCA-P2 systolic flow velocity and BOLD-CVR of the ipsilateral (affected) hemisphere, the ipsilateral middle cerebral artery (MCA) territory, and the ipsilateral steal volume (i.e., paradoxical BOLD-CVR response). The resulting slopes and intercepts were statistically compared to evaluate differences between groups. RESULTS Forty matched patient pairs were included. Regression analysis showed no significant difference for either the intercept (p = 0.84) or the slope (p = 0.85) between PCA-P2 flow velocity and BOLD-CVR as measured for the ipsilateral (affected) hemisphere. Similarly, no significant difference was seen between PCA-P2 flow velocity and BOLD-CVR of the ipsilateral MCA territory (intercept, p = 0.72; slope, p = 0.36) or between PCA-P2 flow velocity and steal volume (intercept, p = 0.59; slope, p = 0.34). CONCLUSIONS The study results indicated that the relationship between ipsilateral PCA-P2 systolic flow velocity and BOLD-CVR remains the same during the acute and chronic stages of ischemic stroke. This provides further support that these novel hemodynamic imaging parameters may have merit to assess the risk for recurrent ischemic events for a wide ischemic stroke population. PCA-P2 systolic flow velocity, in particular, may be a highly practical screening tool, independent of ischemic stroke stage.
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Affiliation(s)
- Martina Sebök
- Departments of1Neurosurgery and.,2Clinical Neuroscience Center, University Hospital Zurich, University of Zurich, Switzerland
| | | | - Susanne Wegener
- 2Clinical Neuroscience Center, University Hospital Zurich, University of Zurich, Switzerland.,3Neurology, and
| | - Andreas Luft
- 2Clinical Neuroscience Center, University Hospital Zurich, University of Zurich, Switzerland.,3Neurology, and
| | - Luca Regli
- Departments of1Neurosurgery and.,2Clinical Neuroscience Center, University Hospital Zurich, University of Zurich, Switzerland
| | - Jorn Fierstra
- Departments of1Neurosurgery and.,2Clinical Neuroscience Center, University Hospital Zurich, University of Zurich, Switzerland
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Salomon T, Cohen A, Barazany D, Ben-Zvi G, Botvinik-Nezer R, Gera R, Oren S, Roll D, Rozic G, Saliy A, Tik N, Tsarfati G, Tavor I, Schonberg T, Assaf Y. Brain volumetric changes in the general population following the COVID-19 outbreak and lockdown. Neuroimage 2021; 239:118311. [PMID: 34182098 DOI: 10.1016/j.neuroimage.2021.118311] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2021] [Revised: 05/30/2021] [Accepted: 06/23/2021] [Indexed: 10/21/2022] Open
Abstract
The coronavirus disease 2019 (COVID-19) outbreak introduced unprecedented health-risks, as well as pressure on the economy, society, and psychological well-being due to the response to the outbreak. In a preregistered study, we hypothesized that the intense experience of the outbreak potentially induced stress-related brain modifications in the healthy population, not infected with the virus. We examined volumetric changes in 50 participants who underwent MRI scans before and after the COVID-19 outbreak and lockdown in Israel. Their scans were compared with those of 50 control participants who were scanned twice prior to the pandemic. Following COVID-19 outbreak and lockdown, the test group participants uniquely showed volumetric increases in bilateral amygdalae, putamen, and the anterior temporal cortices. Changes in the amygdalae diminished as time elapsed from lockdown relief, suggesting that the intense experience associated with the pandemic induced transient volumetric changes in brain regions commonly associated with stress and anxiety. The current work utilizes a rare opportunity for real-life natural experiment, showing evidence for brain plasticity following the COVID-19 global pandemic. These findings have broad implications, relevant both for the scientific community as well as the general public.
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Affiliation(s)
- Tom Salomon
- School of Neurobiology, Biochemistry and Biophysics, Faculty of Life Science, Tel Aviv University, Tel Aviv, Israel
| | - Adi Cohen
- School of Neurobiology, Biochemistry and Biophysics, Faculty of Life Science, Tel Aviv University, Tel Aviv, Israel; Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel
| | - Daniel Barazany
- The Strauss Center for Computational Neuroimaging, Tel Aviv University, Tel Aviv, Israel
| | - Gal Ben-Zvi
- School of Neurobiology, Biochemistry and Biophysics, Faculty of Life Science, Tel Aviv University, Tel Aviv, Israel; Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel
| | - Rotem Botvinik-Nezer
- School of Neurobiology, Biochemistry and Biophysics, Faculty of Life Science, Tel Aviv University, Tel Aviv, Israel; Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel; Department of Psychological and Brain Sciences, Dartmouth College, Hanover, NH, USA
| | - Rani Gera
- School of Neurobiology, Biochemistry and Biophysics, Faculty of Life Science, Tel Aviv University, Tel Aviv, Israel; Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel; School of Psychological Sciences, Tel Aviv University, Tel Aviv, Israel
| | - Shiran Oren
- School of Neurobiology, Biochemistry and Biophysics, Faculty of Life Science, Tel Aviv University, Tel Aviv, Israel; Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel
| | - Dana Roll
- School of Neurobiology, Biochemistry and Biophysics, Faculty of Life Science, Tel Aviv University, Tel Aviv, Israel
| | - Gal Rozic
- School of Neurobiology, Biochemistry and Biophysics, Faculty of Life Science, Tel Aviv University, Tel Aviv, Israel
| | - Anastasia Saliy
- School of Neurobiology, Biochemistry and Biophysics, Faculty of Life Science, Tel Aviv University, Tel Aviv, Israel
| | - Niv Tik
- Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel; Department of Anatomy and Anthropology, Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Galia Tsarfati
- Division of Diagnostic Imaging, Sheba Medical Center, Tel-Hashomer, affiliated to the Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Ido Tavor
- Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel; The Strauss Center for Computational Neuroimaging, Tel Aviv University, Tel Aviv, Israel; Department of Anatomy and Anthropology, Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Tom Schonberg
- School of Neurobiology, Biochemistry and Biophysics, Faculty of Life Science, Tel Aviv University, Tel Aviv, Israel; Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel; The Strauss Center for Computational Neuroimaging, Tel Aviv University, Tel Aviv, Israel
| | - Yaniv Assaf
- School of Neurobiology, Biochemistry and Biophysics, Faculty of Life Science, Tel Aviv University, Tel Aviv, Israel; Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel; The Strauss Center for Computational Neuroimaging, Tel Aviv University, Tel Aviv, Israel.
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273
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Takamiya A, Bouckaert F, Laroy M, Blommaert J, Radwan A, Khatoun A, Deng ZD, Mc Laughlin M, Van Paesschen W, De Winter FL, Van den Stock J, Sunaert S, Sienaert P, Vandenbulcke M, Emsell L. Biophysical mechanisms of electroconvulsive therapy-induced volume expansion in the medial temporal lobe: A longitudinal in vivo human imaging study. Brain Stimul 2021; 14:1038-1047. [PMID: 34182182 PMCID: PMC8474653 DOI: 10.1016/j.brs.2021.06.011] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2021] [Revised: 06/23/2021] [Accepted: 06/23/2021] [Indexed: 01/22/2023] Open
Abstract
Background: Electroconvulsive therapy (ECT) applies electric currents to the brain to induce seizures for therapeutic purposes. ECT increases gray matter (GM) volume, predominantly in the medial temporal lobe (MTL). The contribution of induced seizures to this volume change remains unclear. Methods: T1-weighted structural MRI was acquired from thirty patients with late-life depression (mean age 72.5 ± 7.9 years, 19 female), before and one week after one course of right unilateral ECT. Whole brain voxel-/deformation-/surface-based morphometry analyses were conducted to identify tissue-specific (GM, white matter: WM), and cerebrospinal fluid (CSF) and cerebral morphometry changes following ECT. Whole-brain voxel-wise electric field (EF) strength was estimated to investigate the association of EF distribution and regional brain volume change. The association between percentage volume change in the right MTL and ECT-related parameters (seizure duration, EF, and number of ECT sessions) was investigated using multiple regression. Results: ECT induced widespread GM volume expansion with corresponding contraction in adjacent CSF compartments, and limited WM change. The regional EF was strongly correlated with the distance from the electrodes, but not with regional volume change. The largest volume expansion was identified in the right MTL, and this was correlated with the total seizure duration. Conclusions: Right unilateral ECT induces widespread, bilateral regional volume expansion and contraction, with the largest change in the right MTL. This dynamic volume change cannot be explained by the effect of electrical stimulation alone and is related to the cumulative effect of ECT-induced seizures.
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Affiliation(s)
- Akihiro Takamiya
- KU Leuven, Leuven Brain Institute, Department of Neurosciences, Neuropsychiatry, Leuven, Belgium; Geriatric Psychiatry, University Psychiatric Center KU Leuven, Belgium; Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan
| | - Filip Bouckaert
- KU Leuven, Leuven Brain Institute, Department of Neurosciences, Neuropsychiatry, Leuven, Belgium; Geriatric Psychiatry, University Psychiatric Center KU Leuven, Belgium
| | - Maarten Laroy
- KU Leuven, Leuven Brain Institute, Department of Neurosciences, Neuropsychiatry, Leuven, Belgium
| | - Jeroen Blommaert
- KU Leuven, Department of Oncology, Gynaecological Oncology, Leuven, Belgium
| | - Ahmed Radwan
- KU Leuven, Department of Imaging & Pathology, Translational MRI, Leuven, Belgium
| | - Ahmad Khatoun
- KU Leuven, Leuven Brain Institute, Department of Neurosciences, Research Group Experimental Oto-rhino-laryngology, Leuven, Belgium
| | - Zhi-De Deng
- Noninvasive Neuromodulation Unit, Experimental Therapeutics and Pathophysiology Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, USA; Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, NC, USA
| | - Myles Mc Laughlin
- KU Leuven, Leuven Brain Institute, Department of Neurosciences, Research Group Experimental Oto-rhino-laryngology, Leuven, Belgium
| | - Wim Van Paesschen
- KU Leuven, Leuven Brain Institute, Department of Neurosciences, Research Group Experimental Neurology, Leuven, Belgium
| | - François-Laurent De Winter
- KU Leuven, Leuven Brain Institute, Department of Neurosciences, Neuropsychiatry, Leuven, Belgium; Geriatric Psychiatry, University Psychiatric Center KU Leuven, Belgium
| | - Jan Van den Stock
- KU Leuven, Leuven Brain Institute, Department of Neurosciences, Neuropsychiatry, Leuven, Belgium; Geriatric Psychiatry, University Psychiatric Center KU Leuven, Belgium
| | - Stefan Sunaert
- KU Leuven, Department of Imaging & Pathology, Translational MRI, Leuven, Belgium; Department of Radiology, University Hospitals Leuven (UZ Leuven), Leuven, Belgium
| | - Pascal Sienaert
- Academic Center for ECT and Neuromodulation (AcCENT), University Psychiatric Center, KU Leuven, Kortenberg, Belgium
| | - Mathieu Vandenbulcke
- KU Leuven, Leuven Brain Institute, Department of Neurosciences, Neuropsychiatry, Leuven, Belgium; Geriatric Psychiatry, University Psychiatric Center KU Leuven, Belgium
| | - Louise Emsell
- KU Leuven, Leuven Brain Institute, Department of Neurosciences, Neuropsychiatry, Leuven, Belgium; Geriatric Psychiatry, University Psychiatric Center KU Leuven, Belgium; KU Leuven, Department of Imaging & Pathology, Translational MRI, Leuven, Belgium.
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274
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Sebök M, van Niftrik CHB, Winklhofer S, Wegener S, Esposito G, Stippich C, Luft A, Regli L, Fierstra J. Mapping Cerebrovascular Reactivity Impairment in Patients With Symptomatic Unilateral Carotid Artery Disease. J Am Heart Assoc 2021; 10:e020792. [PMID: 34102856 PMCID: PMC8477889 DOI: 10.1161/jaha.121.020792] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
Background Comprehensive hemodynamic impairment mapping using blood oxygenation‐level dependent (BOLD) cerebrovascular reactivity (CVR) can be used to identify hemodynamically relevant symptomatic unilateral carotid artery disease. Methods and Results This prospective cohort study was conducted between February 2015 and July 2020 at the Clinical Neuroscience Center of the University Hospital Zurich, Zurich, Switzerland. One hundred two patients with newly diagnosed symptomatic unilateral internal carotid artery (ICA) occlusion or with 70% to 99% ICA stenosis were included. An age‐matched healthy cohort of 12 subjects underwent an identical BOLD functional magnetic resonance imaging examination. Using BOLD functional magnetic resonance imaging with a standardized CO2 stimulus, CVR impairment was evaluated. Moreover, embolic versus hemodynamic ischemic patterns were evaluated on diffusion‐weighted imaging. Sixty‐seven patients had unilateral ICA occlusion and 35 patients unilateral 70% to 99% ICA stenosis. Patients with ICA occlusion exhibited lower whole‐brain and ipsilateral hemisphere mean BOLD‐CVR values as compared with healthy subjects (0.12±0.08 versus 0.19±0.04, P=0.004 and 0.09±0.09 versus 0.18±0.04, P<0.001) and ICA stenosis cohort (0.12±0.08 versus 0.16±0.05, P=0.01 and 0.09±0.09 versus 0.15±0.05, P=0.01); however, only 40 (58%) patients of the cohort showed significant BOLD‐CVR impairment. Conversely, there was no difference in mean BOLD‐CVR values between healthy patients and patients with ICA stenosis, although 5 (14%) patients with ICA stenosis showed a significant BOLD‐CVR impairment. No significant BOLD‐CVR difference was discernible between patients with hemodynamic ischemic infarcts versus those with embolic infarct distribution (0.11±0.08 versus 0.13±0.06, P=0.12). Conclusions Comprehensive BOLD‐CVR mapping allows for identification of hemodynamically relevant symptomatic unilateral carotid artery stenosis or occlusion.
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Affiliation(s)
- Martina Sebök
- Department of Neurosurgery University Hospital ZurichUniversity of Zurich Switzerland.,Clinical Neuroscience Center University Hospital ZurichUniversity of Zurich Switzerland
| | - Christiaan Hendrik Bas van Niftrik
- Department of Neurosurgery University Hospital ZurichUniversity of Zurich Switzerland.,Clinical Neuroscience Center University Hospital ZurichUniversity of Zurich Switzerland
| | - Sebastian Winklhofer
- Clinical Neuroscience Center University Hospital ZurichUniversity of Zurich Switzerland.,Department of Neuroradiology University Hospital ZurichUniversity of Zurich Switzerland
| | - Susanne Wegener
- Clinical Neuroscience Center University Hospital ZurichUniversity of Zurich Switzerland.,Department of Neurology University Hospital ZurichUniversity of Zurich Switzerland
| | - Giuseppe Esposito
- Department of Neurosurgery University Hospital ZurichUniversity of Zurich Switzerland.,Clinical Neuroscience Center University Hospital ZurichUniversity of Zurich Switzerland
| | - Christoph Stippich
- Clinical Neuroscience Center University Hospital ZurichUniversity of Zurich Switzerland.,Neuroradiology and Radiology Schmieder Clinic Allensbach Germany
| | - Andreas Luft
- Clinical Neuroscience Center University Hospital ZurichUniversity of Zurich Switzerland.,Department of Neurology University Hospital ZurichUniversity of Zurich Switzerland.,Cereneo Center for Neurology and Rehabilitation Vitznau Switzerland
| | - Luca Regli
- Department of Neurosurgery University Hospital ZurichUniversity of Zurich Switzerland.,Clinical Neuroscience Center University Hospital ZurichUniversity of Zurich Switzerland
| | - Jorn Fierstra
- Department of Neurosurgery University Hospital ZurichUniversity of Zurich Switzerland.,Clinical Neuroscience Center University Hospital ZurichUniversity of Zurich Switzerland
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275
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Li W, Jiang Y, Qin Y, Zhou B, Lei D, Zhang H, Lei D, Yao D, Luo C, Gong Q, Zhou D, An D. Structural and functional reorganization of contralateral hippocampus after temporal lobe epilepsy surgery. NEUROIMAGE-CLINICAL 2021; 31:102714. [PMID: 34102537 PMCID: PMC8187253 DOI: 10.1016/j.nicl.2021.102714] [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] [Received: 02/06/2021] [Revised: 05/27/2021] [Accepted: 05/28/2021] [Indexed: 02/08/2023]
Abstract
Postoperative changes of contralateral hippocampus in temporal lobe epilepsy. No obvious hippocampal volume change was observed after successful surgery. Surgical manipulation may lead to a transient functional connectivity reduction. Increased functional connectivity mostly involved bilateral frontal regions.
Objective To explore the structural and functional reorganization of contralateral hippocampus in patients with unilateral mesial temporal lobe epilepsy (mTLE) who achieved seizure-freedom after anterior temporal lobectomy (ATL). Methods We obtained high-resolution structural MRI and resting-state functional MRI data in 28 unilateral mTLE patients and 29 healthy controls. Patients were scanned before and three and 24 months after surgery while controls were scanned only once. Hippocampal gray matter volume (GMV) and functional connectivity (FC) were assessed. Results No obvious GMV changes were observed in contralateral hippocampus before and after successful surgery. Before surgery, ipsilateral hippocampus showed increased FC with ipsilateral insula (INS) and temporoparietal junction (TPJ), but decreased FC with widespread bilateral regions, as well as contralateral hippocampus. After successful ATL, contralateral hippocampus showed: (1) decreased FC with ipsilateral INS at three months follow-up, without further changes; (2) decreased FC with ipsilateral TPJ, postcentral gyrus and rolandic operculum at three months, with an obvious increase at 24 months follow-up; (3) increased FC with bilateral medial prefrontal cortex (MPFC) and superior frontal gyrus (SFG) at three months follow-up, without further changes. Conclusions Successful ATL may not lead to an obvious structural reorganization in contralateral hippocampus. Surgical manipulation may lead to a transient FC reduction of contralateral hippocampus. Increased FC between contralateral hippocampus and bilateral MPFC and SFG may be related to postoperative functional remodeling.
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Affiliation(s)
- Wei Li
- Department of Neurology, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Yuchao Jiang
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, Center for Information in Medicine, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, Sichuan, China
| | - Yingjie Qin
- Department of Neurology, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Baiwan Zhou
- Huaxi MR Research Center, Department of Radiology, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Du Lei
- Huaxi MR Research Center, Department of Radiology, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Heng Zhang
- Department of Neurosurgery, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Ding Lei
- Department of Neurosurgery, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Dezhong Yao
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, Center for Information in Medicine, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, Sichuan, China
| | - Cheng Luo
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, Center for Information in Medicine, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, Sichuan, China
| | - Qiyong Gong
- Huaxi MR Research Center, Department of Radiology, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
| | - Dong Zhou
- Department of Neurology, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
| | - Dongmei An
- Department of Neurology, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
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276
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Tuncel H, Boellaard R, Coomans EM, de Vries EFJ, Glaudemans AWJM, Feltes PK, García DV, Verfaillie SCJ, Wolters EE, Sweeney SP, Ryan JM, Ivarsson M, Lynch BA, Schober P, Scheltens P, Schuit RC, Windhorst AD, De Deyn PP, van Berckel BNM, Golla SSV. Kinetics and 28-day test-retest repeatability and reproducibility of [ 11C]UCB-J PET brain imaging. J Cereb Blood Flow Metab 2021; 41:1338-1350. [PMID: 34013797 PMCID: PMC8138337 DOI: 10.1177/0271678x20964248] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/11/2020] [Revised: 08/19/2020] [Accepted: 09/27/2020] [Indexed: 11/18/2022]
Abstract
[11C]UCB-J is a novel radioligand that binds to synaptic vesicle glycoprotein 2A (SV2A). The main objective of this study was to determine the 28-day test-retest repeatability (TRT) of quantitative [11C]UCB-J brain positron emission tomography (PET) imaging in Alzheimer's disease (AD) patients and healthy controls (HCs). Nine HCs and eight AD patients underwent two 60 min dynamic [11C]UCB-J PET scans with arterial sampling with an interval of 28 days. The optimal tracer kinetic model was assessed using the Akaike criteria (AIC). Micro-/macro-parameters such as tracer delivery (K1) and volume of distribution (VT) were estimated using the optimal model. Data were also analysed for simplified reference tissue model (SRTM) with centrum semi-ovale (white matter) as reference region. Based on AIC, both 1T2k_VB and 2T4k_VB described the [11C]UCB-J kinetics equally well. Analysis showed that whole-brain grey matter TRT for VT, DVR and SRTM BPND were -2.2% ± 8.5, 0.4% ± 12.0 and -8.0% ± 10.2, averaged over all subjects. [11C]UCB-J kinetics can be well described by a 1T2k_VB model, and a 60 min scan duration was sufficient to obtain reliable estimates for both plasma input and reference tissue models. TRT for VT, DVR and BPND was <15% (1SD) averaged over all subjects and indicates adequate quantitative repeatability of [11C]UCB-J PET.
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Affiliation(s)
- Hayel Tuncel
- Department of Radiology & Nuclear Medicine, Amsterdam Neuroscience, Amsterdam UMC, Amsterdam, The Netherlands
| | - Ronald Boellaard
- Department of Radiology & Nuclear Medicine, Amsterdam Neuroscience, Amsterdam UMC, Amsterdam, The Netherlands
| | - Emma M Coomans
- Department of Radiology & Nuclear Medicine, Amsterdam Neuroscience, Amsterdam UMC, Amsterdam, The Netherlands
| | - Erik FJ de Vries
- Department of Nuclear Medicine and Molecular Imaging, University Medical Center, University of Groningen, Groningen, The Netherlands
| | - Andor WJM Glaudemans
- Department of Nuclear Medicine and Molecular Imaging, University Medical Center, University of Groningen, Groningen, The Netherlands
| | - Paula Kopschina Feltes
- Department of Nuclear Medicine and Molecular Imaging, University Medical Center, University of Groningen, Groningen, The Netherlands
| | - David V García
- Department of Nuclear Medicine and Molecular Imaging, University Medical Center, University of Groningen, Groningen, The Netherlands
| | - Sander CJ Verfaillie
- Department of Radiology & Nuclear Medicine, Amsterdam Neuroscience, Amsterdam UMC, Amsterdam, The Netherlands
| | - Emma E Wolters
- Department of Radiology & Nuclear Medicine, Amsterdam Neuroscience, Amsterdam UMC, Amsterdam, The Netherlands
- Department of Neurology, Alzheimer Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, Amsterdam, The Netherlands
| | | | | | | | | | - Patrick Schober
- Department of Anaesthesiology, Amsterdam UMC, Amsterdam, The Netherlands
| | - Philip Scheltens
- Department of Neurology, Alzheimer Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, Amsterdam, The Netherlands
| | - Robert C Schuit
- Department of Radiology & Nuclear Medicine, Amsterdam Neuroscience, Amsterdam UMC, Amsterdam, The Netherlands
| | - Albert D Windhorst
- Department of Radiology & Nuclear Medicine, Amsterdam Neuroscience, Amsterdam UMC, Amsterdam, The Netherlands
| | - Peter P De Deyn
- Department of Neurology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
- Alzheimer Research Center, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Bart NM van Berckel
- Department of Radiology & Nuclear Medicine, Amsterdam Neuroscience, Amsterdam UMC, Amsterdam, The Netherlands
| | - Sandeep SV Golla
- Department of Radiology & Nuclear Medicine, Amsterdam Neuroscience, Amsterdam UMC, Amsterdam, The Netherlands
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277
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Kegel LC, Frühholz S, Grunwald T, Mersch D, Rey A, Jokeit H. Temporal lobe epilepsy alters neural responses to human and avatar facial expressions in the face perception network. Brain Behav 2021; 11:e02140. [PMID: 33951323 PMCID: PMC8213650 DOI: 10.1002/brb3.2140] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/30/2020] [Revised: 03/21/2021] [Accepted: 03/22/2021] [Indexed: 12/19/2022] Open
Abstract
BACKGROUND AND OBJECTIVE Although avatars are now widely used in advertisement, entertainment, and business today, no study has investigated whether brain lesions in neurological patients interfere with brain activation in response to dynamic avatar facial expressions. The aim of our event-related fMRI study was to compare brain activation differences in people with epilepsy and controls during the processing of fearful and neutral dynamic expressions displayed by human or avatar faces. METHODS Using functional magnetic resonance imaging (fMRI), we examined brain responses to dynamic facial expressions of trained actors and their avatar look-alikes in 16 people with temporal lobe epilepsy (TLE) and 26 controls. The actors' fearful and neutral expressions were recorded on video and conveyed onto their avatar look-alikes by face tracking. RESULTS Our fMRI results show that people with TLE exhibited reduced response differences between fearful and neutral expressions displayed by humans in the right amygdala and the left superior temporal sulcus (STS). Further, TLE was associated with reduced response differences between human and avatar fearful expressions in the dorsal pathway of the face perception network (STS and inferior frontal gyrus) as well as in the medial prefrontal cortex. CONCLUSIONS Taken together, these findings suggest that brain responses to dynamic facial expressions are altered in people with TLE compared to neurologically healthy individuals-regardless of whether the face is human or computer-generated. In TLE, areas sensitive to dynamic facial features and associated with processes relating to the self and others are particularly affected when processing dynamic human and avatar expressions. Our findings highlight that the impact of TLE on facial emotion processing must be extended to artificial faces and should be considered when applying dynamic avatars in the context of neurological conditions.
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Affiliation(s)
- Lorena Chantal Kegel
- Swiss Epilepsy Center, Zurich, Switzerland.,Department of Psychology, University of Zurich, Zurich, Switzerland
| | - Sascha Frühholz
- Department of Psychology, University of Zurich, Zurich, Switzerland
| | | | - Dieter Mersch
- Institute for Critical Theory, Zurich University of the Arts, Zurich, Switzerland
| | - Anton Rey
- Institute for the Performing Arts and Film, Zurich University of the Arts, Zurich, Switzerland
| | - Hennric Jokeit
- Swiss Epilepsy Center, Zurich, Switzerland.,Department of Psychology, University of Zurich, Zurich, Switzerland
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278
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Borgan F, Veronese M, Reis Marques T, Lythgoe DJ, Howes O. Association between cannabinoid 1 receptor availability and glutamate levels in healthy controls and drug-free patients with first episode psychosis: a multi-modal PET and 1H-MRS study. Eur Arch Psychiatry Clin Neurosci 2021; 271:677-687. [PMID: 32986150 PMCID: PMC8119269 DOI: 10.1007/s00406-020-01191-2] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/24/2020] [Accepted: 08/20/2020] [Indexed: 12/16/2022]
Abstract
Cannabinoid 1 receptor and glutamatergic dysfunction have both been implicated in the pathophysiology of schizophrenia. However, it remains unclear if cannabinoid 1 receptor alterations shown in drug-naïve/free patients with first episode psychosis may be linked to glutamatergic alterations in the illness. We aimed to investigate glutamate levels and cannabinoid 1 receptor levels in the same region in patients with first episode psychosis. Forty volunteers (20 healthy volunteers, 20 drug-naïve/free patients with first episode psychosis diagnosed with schizophrenia/schizoaffective disorder) were included in the study. Glutamate levels were measured using proton magnetic resonance spectroscopy. CB1R availability was indexed using the distribution volume (VT (ml/cm3)) of [11C]MePPEP using arterial blood sampling. There were no significant associations between ACC CB1R levels and ACC glutamate levels in controls (R = - 0.24, p = 0.32) or patients (R = - 0.10, p = 0.25). However, ACC glutamate levels were negatively associated with CB1R availability in the striatum (R = - 0.50, p = 0.02) and hippocampus (R = - 0.50, p = 0.042) in controls, but these associations were not observed in patients (p > 0.05). Our findings extend our previous work in an overlapping sample to show, for the first time as far as we're aware, that cannabinoid 1 receptor alterations in the anterior cingulate cortex are shown in the absence of glutamatergic dysfunction in the same region, and indicate potential interactions between glutamatergic signalling in the anterior cingulate cortex and the endocannabinoid system in the striatum and hippocampus.
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Affiliation(s)
- Faith Borgan
- Psychosis Studies Department, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, England.
- Institute of Clinical Sciences, Faculty of Medicine, Imperial College London, Hammersmith Hospital, London, W12 0NN, UK.
| | - Mattia Veronese
- Centre for Neuroimaging Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, England
| | - Tiago Reis Marques
- Psychosis Studies Department, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, England
- Institute of Clinical Sciences, Faculty of Medicine, Imperial College London, Hammersmith Hospital, London, W12 0NN, UK
| | - David J Lythgoe
- Centre for Neuroimaging Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, England
| | - Oliver Howes
- Psychosis Studies Department, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, England
- Institute of Clinical Sciences, Faculty of Medicine, Imperial College London, Hammersmith Hospital, London, W12 0NN, UK
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279
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Kolinger GD, Vállez García D, Lohith TG, Hostetler ED, Sur C, Struyk A, Boellaard R, Koole M. A dual-time-window protocol to reduce acquisition time of dynamic tau PET imaging using [ 18F]MK-6240. EJNMMI Res 2021; 11:49. [PMID: 34046730 PMCID: PMC8160074 DOI: 10.1186/s13550-021-00790-x] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2020] [Accepted: 05/17/2021] [Indexed: 12/17/2022] Open
Abstract
BACKGROUND [18F]MK-6240 is a PET tracer with sub-nanomolar affinity for neurofibrillary tangles. Therefore, tau quantification is possible with [18F]MK-6240 PET/CT scans, and it can be used for assessment of Alzheimer's disease. However, long acquisition scans are required to provide fully quantitative estimates of pharmacokinetic parameters. Therefore, on the present study, dual-time-window (DTW) acquisitions was simulated to reduce PET/CT acquisition time, while taking into consideration perfusion changes and possible scanning protocol non-compliance. To that end, time activity curves (TACs) representing a 120-min acquisition (TAC120) were simulated using a two-tissue compartment model with metabolite corrected arterial input function from 90-min dynamic [18F]MK-6240 PET scans of three healthy control subjects and five subjects with mild cognitive impairment or Alzheimer's disease. Therefore, TACs corresponding to different levels of specific binding were generated and then various perfusion changes were simulated. Next, DTW acquisitions were simulated consisting of an acquisition starting at tracer injection, a break and a second acquisition starting at 90 min post-injection. Finally, non-compliance with the PET/CT scanning protocol were simulated to assess its impact on quantification. All TACs were quantified using reference Logan's distribution volume ratio (DVR) and standardized uptake value ratio (SUVR90) using the cerebellar cortex as reference region. RESULTS It was found that DVR from a DTW protocol with a 60-min break between two 30-min dynamic scans closely approximates the DVR from the uninterrupted TAC120, with a regional bias smaller than 2.5%. Moreover, SUVR90 estimates were more susceptible (regional bias ≤ 19%) to changes in perfusion compared to DVR from a DTW TAC (regional bias ≤ 10%). Similarly, SUVR90 was affected by late-time scanning protocol delays reaching an increase of 8% for a 20-min delay, while DVR was not affected (regional bias < 1.5%) by DTW protocol non-compliance. CONCLUSIONS Therefore, such DTW protocol has the potential to increase patient comfort and throughput without compromising quantitative accuracy and is more reliable against SUVR in terms of perfusion changes and protocol deviations, which could prove beneficial for drug effect assessment and patient follow-up using longitudinal [18F]MK-6240 PET imaging.
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Affiliation(s)
- Guilherme D Kolinger
- Medical Imaging Center, University Medical Center Groningen, University of Groningen, Hanzeplein 1, 9713 GZ, Groningen, The Netherlands
| | - David Vállez García
- Medical Imaging Center, University Medical Center Groningen, University of Groningen, Hanzeplein 1, 9713 GZ, Groningen, The Netherlands
| | - Talakad G Lohith
- Translational Imaging Biomarkers, Merck & Co., Inc., 770 Sumneytown Pike, Mailstop WP44D-216, West Point, PA, 19486, USA
| | - Eric D Hostetler
- Translational Imaging Biomarkers, Merck & Co., Inc., 770 Sumneytown Pike, Mailstop WP44D-216, West Point, PA, 19486, USA
| | - Cyrille Sur
- Translational Imaging Biomarkers, Merck & Co., Inc., 770 Sumneytown Pike, Mailstop WP44D-216, West Point, PA, 19486, USA
| | - Arie Struyk
- Translational Pharmacology, Merck & Co., Inc, 351 N Sumneytown Pike, Mailstop UG4D-48, North Wales, PA, 19454, USA
| | - Ronald Boellaard
- Medical Imaging Center, University Medical Center Groningen, University of Groningen, Hanzeplein 1, 9713 GZ, Groningen, The Netherlands
- Department of Radiology and Nuclear Medicine, Amsterdam University Medical Center, Location VU Medical Center, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands
| | - Michel Koole
- Nuclear Medicine and Molecular Imaging, Department of Imaging and Pathology, KU Leuven, Herestraat 49 - Bus 7003, 3000, Leuven, Belgium.
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280
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Schmitt J, Palleis C, Sauerbeck J, Unterrainer M, Harris S, Prix C, Weidinger E, Katzdobler S, Wagemann O, Danek A, Beyer L, Rauchmann BS, Rominger A, Simons M, Bartenstein P, Perneczky R, Haass C, Levin J, Höglinger GU, Brendel M. Dual-Phase β-Amyloid PET Captures Neuronal Injury and Amyloidosis in Corticobasal Syndrome. Front Aging Neurosci 2021; 13:661284. [PMID: 34054506 PMCID: PMC8155727 DOI: 10.3389/fnagi.2021.661284] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2021] [Accepted: 04/06/2021] [Indexed: 11/13/2022] Open
Abstract
Objectives: In recent years several 18F-labeled amyloid PET (Aβ-PET) tracers have been developed and have obtained clinical approval. There is evidence that Aβ-PET perfusion can provide surrogate information about neuronal injury in neurodegenerative diseases when compared to conventional blood flow and glucose metabolism assessment. However, this paradigm has not yet been tested in neurodegenerative disorders with cortical and subcortical affection. Therefore, we investigated the performance of early acquisition 18F-flutemetamol Aβ-PET in comparison to 18F-fluorodeoxyglucose (FDG)-PET in corticobasal syndrome (CBS). Methods: Subjects with clinically possible or probable CBS were recruited within the prospective Activity of Cerebral Networks, Amyloid and Microglia in Aging and Alzheimer's Disease (ActiGliA) observational study and all CBS cases with an available FDG-PET prior to Aβ-PET were selected. Aβ-PET was acquired 0-10 min p.i. (early-phase) and 90-110 min p.i. (late-phase) whereas FDG-PET was recorded statically from 30 to 50 min p.i. Semiquantitative regional values and asymmetry indices (AI) were compared between early-phase Aβ-PET and FDG-PET. Visual assessments of hypoperfusion and hypometabolism were compared between both methods. Late-phase Aβ-PET was evaluated visually for assessment of Aβ-positivity. Results: Among 20 evaluated patients with CBS, 5 were Aβ-positive. Early-phase Aβ-PET and FDG-PET SUVr correlated highly in cortical (mean R = 0.86, range 0.77-0.92) and subcortical brain regions (mean R = 0.84, range 0.79-0.90). Strong asymmetry was observed in FDG-PET for the motor cortex (mean |AI| = 2.9%), the parietal cortex (mean |AI| = 2.9%), and the thalamus (mean |AI| = 5.5%), correlating well with AI of early-phase Aβ-PET (mean R = 0.87, range 0.62-0.98). Visual assessments of hypoperfusion and hypometabolism were highly congruent. Conclusion: Early-phase Aβ-PET facilitates assessment of neuronal injury in CBS for cortical and subcortical areas. Known asymmetries in CBS are captured by this method, enabling assessment of Aβ-status and neuronal injury with a single radiation exposure at a single visit.
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Affiliation(s)
- Julia Schmitt
- Department of Nuclear Medicine, University Hospital of Munich, LMU Munich, Munich, Germany
| | - Carla Palleis
- Department of Neurology, University Hospital of Munich, LMU Munich, Munich, Germany
| | - Julia Sauerbeck
- Department of Nuclear Medicine, University Hospital of Munich, LMU Munich, Munich, Germany
| | - Marcus Unterrainer
- Department of Nuclear Medicine, University Hospital of Munich, LMU Munich, Munich, Germany
| | - Stefanie Harris
- Department of Nuclear Medicine, University Hospital of Munich, LMU Munich, Munich, Germany
| | - Catharina Prix
- Department of Neurology, University Hospital of Munich, LMU Munich, Munich, Germany
| | - Endy Weidinger
- Department of Neurology, University Hospital of Munich, LMU Munich, Munich, Germany
| | - Sabrina Katzdobler
- Department of Neurology, University Hospital of Munich, LMU Munich, Munich, Germany
| | - Olivia Wagemann
- Department of Neurology, University Hospital of Munich, LMU Munich, Munich, Germany
| | - Adrian Danek
- Department of Neurology, University Hospital of Munich, LMU Munich, Munich, Germany
| | - Leonie Beyer
- Department of Nuclear Medicine, University Hospital of Munich, LMU Munich, Munich, Germany
| | - Boris-Stephan Rauchmann
- Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, Germany.,Department of Radiology, University Hospital of Munich, LMU Munich, Munich, Germany
| | - Axel Rominger
- Department of Nuclear Medicine, University Hospital of Munich, LMU Munich, Munich, Germany.,Department of Nuclear Medicine, University of Bern, Inselspital, Bern, Switzerland.,Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Mikael Simons
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany.,German Center for Neurodegenerative Diseases (DZNE), Munich, Germany.,Institute of Neuronal Cell Biology, Technical University Munich, Munich, Germany
| | - Peter Bartenstein
- Department of Nuclear Medicine, University Hospital of Munich, LMU Munich, Munich, Germany.,Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Robert Perneczky
- Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, Germany.,Munich Cluster for Systems Neurology (SyNergy), Munich, Germany.,German Center for Neurodegenerative Diseases (DZNE), Munich, Germany.,Ageing Epidemiology Research Unit (AGE), School of Public Health, Imperial College London, London, United Kingdom
| | - Christian Haass
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany.,German Center for Neurodegenerative Diseases (DZNE), Munich, Germany.,Faculty of Medicine, Chair of Metabolic Biochemistry, Biomedical Center (BMC), Ludwig-Maximilians-Universtität München, Munich, Germany
| | - Johannes Levin
- Department of Neurology, University Hospital of Munich, LMU Munich, Munich, Germany.,Munich Cluster for Systems Neurology (SyNergy), Munich, Germany.,German Center for Neurodegenerative Diseases (DZNE), Munich, Germany
| | - Günter U Höglinger
- German Center for Neurodegenerative Diseases (DZNE), Munich, Germany.,Department of Neurology, Medizinische Hochschule Hannover, Hanover, Germany.,Department of Neurology, Technical University Munich, Munich, Germany
| | - Matthias Brendel
- Department of Nuclear Medicine, University Hospital of Munich, LMU Munich, Munich, Germany.,Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
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281
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Akeret K, van Niftrik CHB, Sebök M, Muscas G, Visser T, Staartjes VE, Marinoni F, Serra C, Regli L, Krayenbühl N, Piccirelli M, Fierstra J. Topographic volume-standardization atlas of the human brain. Brain Struct Funct 2021; 226:1699-1711. [PMID: 33961092 PMCID: PMC8203509 DOI: 10.1007/s00429-021-02280-1] [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: 11/28/2020] [Accepted: 04/10/2021] [Indexed: 11/29/2022]
Abstract
Specific anatomical patterns are seen in various diseases affecting the brain. Clinical studies on the topography of pathologies are often limited by the absence of a normalization of the prevalence of pathologies to the relative volume of the affected anatomical structures. A comprehensive reference on the relative volumes of clinically relevant anatomical structures serving for such a normalization, is currently lacking. The analyses are based on anatomical high-resolution three-dimensional T1-weighted magnetic resonance imaging data of 30 healthy Caucasian volunteers, including 14 females (mean age 37.79 years, SD 13.04) and 16 males (mean age 38.31 years, SD 16.91). Semi-automated anatomical segmentation was used, guided by a neuroanatomical parcellation algorithm differentiating 96 structures. Relative volumes were derived by normalizing parenchymal structures to the total individual encephalic volume and ventricular segments to the total individual ventricular volume. The present investigation provides the absolute and relative volumes of 96 anatomical parcellation units of the human encephalon. A larger absolute volume in males than in females is found for almost all parcellation units. While parenchymal structures display a trend towards decreasing volumes with increasing age, a significant inverse effect is seen with the ventricular system. The variances in volumes as well as the effects of gender and age are given for each structure before and after normalization. The provided atlas constitutes an anatomically detailed and comprehensive analysis of the absolute and relative volumes of the human encephalic structures using a clinically oriented parcellation algorithm. It is intended to serve as a reference for volume-standardization in clinical studies on the topographic prevalence of pathologies.
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Affiliation(s)
- Kevin Akeret
- Department of Neurosurgery, Clinical Neuroscience Center, University Hospital Zurich, University of Zurich, Frauenklinikstrasse 10, 8091, Zurich, Switzerland.
| | - Christiaan Hendrik Bas van Niftrik
- Department of Neurosurgery, Clinical Neuroscience Center, University Hospital Zurich, University of Zurich, Frauenklinikstrasse 10, 8091, Zurich, Switzerland
| | - Martina Sebök
- Department of Neurosurgery, Clinical Neuroscience Center, University Hospital Zurich, University of Zurich, Frauenklinikstrasse 10, 8091, Zurich, Switzerland
| | - Giovanni Muscas
- Department of Neurosurgery, Clinical Neuroscience Center, University Hospital Zurich, University of Zurich, Frauenklinikstrasse 10, 8091, Zurich, Switzerland
| | - Thomas Visser
- Department of Neurosurgery, Clinical Neuroscience Center, University Hospital Zurich, University of Zurich, Frauenklinikstrasse 10, 8091, Zurich, Switzerland
| | - Victor E Staartjes
- Department of Neurosurgery, Clinical Neuroscience Center, University Hospital Zurich, University of Zurich, Frauenklinikstrasse 10, 8091, Zurich, Switzerland
| | - Federica Marinoni
- Department of Neurosurgery, Clinical Neuroscience Center, University Hospital Zurich, University of Zurich, Frauenklinikstrasse 10, 8091, Zurich, Switzerland
| | - Carlo Serra
- Department of Neurosurgery, Clinical Neuroscience Center, University Hospital Zurich, University of Zurich, Frauenklinikstrasse 10, 8091, Zurich, Switzerland
| | - Luca Regli
- Department of Neurosurgery, Clinical Neuroscience Center, University Hospital Zurich, University of Zurich, Frauenklinikstrasse 10, 8091, Zurich, Switzerland
| | - Niklaus Krayenbühl
- Department of Neurosurgery, Clinical Neuroscience Center, University Hospital Zurich, University of Zurich, Frauenklinikstrasse 10, 8091, Zurich, Switzerland.,Division of Pediatric Neurosurgery, University Children's Hospital, Zurich, Switzerland
| | - Marco Piccirelli
- Department of Neuroradiology, Clinical Neuroscience Center, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Jorn Fierstra
- Department of Neurosurgery, Clinical Neuroscience Center, University Hospital Zurich, University of Zurich, Frauenklinikstrasse 10, 8091, Zurich, Switzerland
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282
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Palleis C, Brendel M, Finze A, Weidinger E, Bötzel K, Danek A, Beyer L, Nitschmann A, Kern M, Biechele G, Rauchmann BS, Häckert J, Höllerhage M, Stephens AW, Drzezga A, van Eimeren T, Villemagne VL, Schildan A, Barthel H, Patt M, Sabri O, Bartenstein P, Perneczky R, Haass C, Levin J, Höglinger GU. Cortical [ 18 F]PI-2620 Binding Differentiates Corticobasal Syndrome Subtypes. Mov Disord 2021; 36:2104-2115. [PMID: 33951244 DOI: 10.1002/mds.28624] [Citation(s) in RCA: 52] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2021] [Revised: 03/23/2021] [Accepted: 04/05/2021] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND Corticobasal syndrome is associated with cerebral protein aggregates composed of 4-repeat (~50% of cases) or mixed 3-repeat/4-repeat tau isoforms (~25% of cases) or nontauopathies (~25% of cases). OBJECTIVES The aim of this single-center study was to investigate the diagnostic value of the tau PET-ligand [18 F]PI-2620 in patients with corticobasal syndrome. METHODS Forty-five patients (71.5 ± 7.6 years) with corticobasal syndrome and 14 age-matched healthy controls underwent [18 F]PI-2620-PET. Beta-amyloid status was determined by cerebral β-amyloid PET and/or CSF analysis. Subcortical and cortical [18 F]PI-2620 binding was quantitatively and visually compared between β-amyloid-positive and -negative patients and controls. Regional [18 F]PI-2620 binding was correlated with clinical and demographic data. RESULTS Twenty-four percent (11 of 45) were β-amyloid-positive. Significantly elevated [18 F]PI-2620 distribution volume ratios were observed in both β-amyloid-positive and β-amyloid-negative patients versus controls in the dorsolateral prefrontal cortex and basal ganglia. Cortical [18 F]PI-2620 PET positivity was distinctly higher in β-amyloid-positive compared with β-amyloid-negative patients with pronounced involvement of the dorsolateral prefrontal cortex. Semiquantitative analysis of [18 F]PI-2620 PET revealed a sensitivity of 91% for β-amyloid-positive and of 65% for β-amyloid-negative cases, which is in excellent agreement with prior clinicopathological data. Regardless of β-amyloid status, hemispheric lateralization of [18 F]PI-2620 signal reflected contralateral predominance of clinical disease severity. CONCLUSIONS Our data indicate a value of [18 F]PI-2620 for evaluating corticobasal syndrome, providing quantitatively and regionally distinct signals in β-amyloid-positive as well as β-amyloid-negative corticobasal syndrome. In corticobasal syndrome, [18 F]PI-2620 may potentially serve for a differential diagnosis and for monitoring disease progression. © 2021 The Authors. Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.
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Affiliation(s)
- Carla Palleis
- Department of Neurology, Ludwig-Maximilians-University, Munich, Germany.,German Center for Neurodegenerative Diseases (DZNE), Munich, Germany
| | - Matthias Brendel
- Department of Nuclear Medicine, Ludwig-Maximilians-University, Munich, Germany.,Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Anika Finze
- Department of Nuclear Medicine, Ludwig-Maximilians-University, Munich, Germany
| | - Endy Weidinger
- Department of Neurology, Ludwig-Maximilians-University, Munich, Germany.,German Center for Neurodegenerative Diseases (DZNE), Munich, Germany
| | - Kai Bötzel
- Department of Neurology, Ludwig-Maximilians-University, Munich, Germany
| | - Adrian Danek
- Department of Neurology, Ludwig-Maximilians-University, Munich, Germany
| | - Leonie Beyer
- Department of Nuclear Medicine, Ludwig-Maximilians-University, Munich, Germany
| | | | - Maike Kern
- Department of Nuclear Medicine, Ludwig-Maximilians-University, Munich, Germany
| | - Gloria Biechele
- Department of Nuclear Medicine, Ludwig-Maximilians-University, Munich, Germany
| | - Boris-Stephan Rauchmann
- Department of Radiology, Ludwig-Maximilians-University, Munich, Germany.,Department of Psychiatry and Psychotherapy, Ludwig-Maximilians-University, Munich, Germany
| | - Jan Häckert
- Department of Psychiatry and Psychotherapy, Ludwig-Maximilians-University, Munich, Germany
| | | | | | - Alexander Drzezga
- Department of Nuclear Medicine, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.,German Center for Neurodegenerative Diseases (DZNE), Bonn-Cologne, Germany.,Institute of Neuroscience and Medicine (INM-2), Molecular Organization of the Brain, Forschungszentrum Jülich, Julich, Germany
| | - Thilo van Eimeren
- Department of Nuclear Medicine, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.,German Center for Neurodegenerative Diseases (DZNE), Bonn-Cologne, Germany.,Department of Neurology, University Hospital Cologne, Cologne, Germany
| | - Victor L Villemagne
- Department of Psychiatry, The University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Andreas Schildan
- Department of Nuclear Medicine, University of Leipzig, Leipzig, Germany
| | - Henryk Barthel
- Department of Nuclear Medicine, University of Leipzig, Leipzig, Germany
| | - Marianne Patt
- Department of Nuclear Medicine, University of Leipzig, Leipzig, Germany
| | - Osama Sabri
- Department of Nuclear Medicine, University of Leipzig, Leipzig, Germany
| | | | - Peter Bartenstein
- Department of Nuclear Medicine, Ludwig-Maximilians-University, Munich, Germany.,Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Robert Perneczky
- German Center for Neurodegenerative Diseases (DZNE), Munich, Germany.,Munich Cluster for Systems Neurology (SyNergy), Munich, Germany.,Department of Psychiatry and Psychotherapy, Ludwig-Maximilians-University, Munich, Germany.,Ageing Epidemiology (AGE) Research Unit, School of Public Health, Imperial College, London, United Kingdom
| | - Christian Haass
- German Center for Neurodegenerative Diseases (DZNE), Munich, Germany.,Munich Cluster for Systems Neurology (SyNergy), Munich, Germany.,Chair of Metabolic Biochemistry, Biomedical Center (BMC), Faculty of Medicine, Ludwig-Maximilians-University, Munich, Germany
| | - Johannes Levin
- Department of Neurology, Ludwig-Maximilians-University, Munich, Germany.,German Center for Neurodegenerative Diseases (DZNE), Munich, Germany.,Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Günter U Höglinger
- German Center for Neurodegenerative Diseases (DZNE), Munich, Germany.,Munich Cluster for Systems Neurology (SyNergy), Munich, Germany.,Department of Neurology, Hannover Medical School, Hannover, Germany
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283
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Borelli WV, Leal-Conceição E, Andrade MA, Esper NB, Feltes PK, Soder RB, Matushita CS, Hartmann LM, Radaelli G, Schilling LP, Moriguchi-Jeckel C, Marques da Silva AM, Portuguez MW, Franco AR, da Costa JC. Increased Glucose Activity in Subgenual Anterior Cingulate and Hippocampus of High Performing Older Adults, Despite Amyloid Burden. J Alzheimers Dis 2021; 81:1419-1428. [PMID: 33935091 DOI: 10.3233/jad-210063] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND Individuals at 80 years of age or above with exceptional memory are considered SuperAgers (SA), an operationalized definition of successful cognitive aging. SA showed increased thickness and altered functional connectivity in the anterior cingulate cortex as a neurobiological signature. However, their metabolic alterations are yet to be uncovered. OBJECTIVE Herein, a metabolic (FDG-PET), amyloid (PIB-PET), and functional (fMRI) analysis of SA were conducted. METHODS Ten SA, ten age-matched older adults (C80), and ten cognitively normal middle-aged (C50) adults underwent cognitive testing and multimodal neuroimaging examinations. Anterior and posterior regions of the cingulate cortex and hippocampal areas were primarily examined, then subregions of anterior cingulate were segregated. RESULTS The SA group showed increased metabolic activity in the left and right subgenual anterior cingulate cortex (sACC, p < 0.005 corrected, bilateral) and bilateral hippocampi (right: p < 0.0005 and left: p < 0.005, both corrected) as compared to that in the C80 group. Amyloid deposition was above threshold in 30% of SA and C80 (p > 0.05). The SA group also presented decreased connectivity between right sACC and posterior cingulate (p < 0.005, corrected) as compared to that of the C80 group. CONCLUSION These results support the key role of sACC and hippocampus in SA, even in the presence of amyloid deposition. It also suggests that sACC may be used as a potential biomarker in older adults for exceptional memory ability. Further longitudinal studies measuring metabolic biomarkers may help elucidate the interaction between these areas in the cognitive aging process.
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Affiliation(s)
- Wyllians Vendramini Borelli
- Brain Institute of Rio Grande do Sul (BraIns), PUCRS, Porto Alegre, Brazil.,School of Medicine, PUCRS, Porto Alegre, Brazil
| | | | - Michele Alberton Andrade
- Brain Institute of Rio Grande do Sul (BraIns), PUCRS, Porto Alegre, Brazil.,School of Science, PUCRS, Porto Alegre, Brazil
| | - Nathalia Bianchini Esper
- Brain Institute of Rio Grande do Sul (BraIns), PUCRS, Porto Alegre, Brazil.,School of Medicine, PUCRS, Porto Alegre, Brazil
| | - Paula Kopschina Feltes
- Department of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Ricardo Bernardi Soder
- Brain Institute of Rio Grande do Sul (BraIns), PUCRS, Porto Alegre, Brazil.,School of Medicine, PUCRS, Porto Alegre, Brazil
| | | | | | - Graciane Radaelli
- Brain Institute of Rio Grande do Sul (BraIns), PUCRS, Porto Alegre, Brazil
| | | | | | - Ana Maria Marques da Silva
- Brain Institute of Rio Grande do Sul (BraIns), PUCRS, Porto Alegre, Brazil.,School of Science, PUCRS, Porto Alegre, Brazil
| | - Mirna Wetters Portuguez
- Brain Institute of Rio Grande do Sul (BraIns), PUCRS, Porto Alegre, Brazil.,School of Medicine, PUCRS, Porto Alegre, Brazil
| | - Alexandre Rosa Franco
- Center for Biomedical Imaging and Neuromodulation, Nathan S. Kline Institute for Psychiatric Research, Orangeburg, NY, USA.,Center for the Developing Brain, Child Mind Institute, New York, NY, USA
| | - Jaderson Costa da Costa
- Brain Institute of Rio Grande do Sul (BraIns), PUCRS, Porto Alegre, Brazil.,School of Medicine, PUCRS, Porto Alegre, Brazil
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284
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Gonzalez-Escamilla G, Miederer I, Grothe MJ, Schreckenberger M, Muthuraman M, Groppa S. Metabolic and amyloid PET network reorganization in Alzheimer's disease: differential patterns and partial volume effects. Brain Imaging Behav 2021; 15:190-204. [PMID: 32125613 PMCID: PMC7835313 DOI: 10.1007/s11682-019-00247-9] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
Alzheimer’s disease (AD) is a neurodegenerative disorder, considered a disconnection syndrome with regional molecular pattern abnormalities quantifiable by the aid of PET imaging. Solutions for accurate quantification of network dysfunction are scarce. We evaluate the extent to which PET molecular markers reflect quantifiable network metrics derived through the graph theory framework and how partial volume effects (PVE)-correction (PVEc) affects these PET-derived metrics 75 AD patients and 126 cognitively normal older subjects (CN). Therefore our goal is twofold: 1) to evaluate the differential patterns of [18F]FDG- and [18F]AV45-PET data to depict AD pathology; and ii) to analyse the effects of PVEc on global uptake measures of [18F]FDG- and [18F]AV45-PET data and their derived covariance network reconstructions for differentiating between patients and normal older subjects. Network organization patterns were assessed using graph theory in terms of “degree”, “modularity”, and “efficiency”. PVEc evidenced effects on global uptake measures that are specific to either [18F]FDG- or [18F]AV45-PET, leading to increased statistical differences between the groups. PVEc was further shown to influence the topological characterization of PET-derived covariance brain networks, leading to an optimised characterization of network efficiency and modularisation. Partial-volume effects correction improves the interpretability of PET data in AD and leads to optimised characterization of network properties for organisation or disconnection.
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Affiliation(s)
- Gabriel Gonzalez-Escamilla
- Department of Neurology, Focus Program Translational Neuroscience (FTN), Rhine Main Neuroscience Network (rmn2), University Medical Center of the Johannes Gutenberg University Mainz, Langenbeckstr. 1, 55131, Mainz, Germany.
| | - Isabelle Miederer
- Department of Nuclear Medicine, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Michel J Grothe
- German Center for Neurodegenerative Diseases (DZNE) - Rostock/Greifswald, Rostock, Germany
| | - Mathias Schreckenberger
- Department of Nuclear Medicine, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Muthuraman Muthuraman
- Department of Neurology, Focus Program Translational Neuroscience (FTN), Rhine Main Neuroscience Network (rmn2), University Medical Center of the Johannes Gutenberg University Mainz, Langenbeckstr. 1, 55131, Mainz, Germany
| | - Sergiu Groppa
- Department of Neurology, Focus Program Translational Neuroscience (FTN), Rhine Main Neuroscience Network (rmn2), University Medical Center of the Johannes Gutenberg University Mainz, Langenbeckstr. 1, 55131, Mainz, Germany
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285
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Li J, Antonecchia E, Camerlenghi M, Chiaravalloti A, Chu Q, Costanzo AD, Li Z, Wan L, Zhang X, D'Ascenzo N, Schillaci O, Xie Q. Correlation of [ 18F]florbetaben textural features and age of onset of Alzheimer's disease: a principal components analysis approach. EJNMMI Res 2021; 11:40. [PMID: 33881633 PMCID: PMC8060386 DOI: 10.1186/s13550-021-00774-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2020] [Accepted: 03/15/2021] [Indexed: 12/17/2022] Open
Abstract
BACKGROUND When Alzheimer's disease (AD) is occurring at an early onset before 65 years old, its clinical course is generally more aggressive than in the case of a late onset. We aim at identifying [[Formula: see text]F]florbetaben PET biomarkers sensitive to differences between early-onset Alzheimer's disease (EOAD) and late-onset Alzheimer's disease (LOAD). We conducted [[Formula: see text]F]florbetaben PET/CT scans of 43 newly diagnosed AD subjects. We calculated 93 textural parameters for each of the 83 Hammers areas. We identified 41 independent principal components for each brain region, and we studied their Spearman correlation with the age of AD onset, by taking into account multiple comparison corrections. Finally, we calculated the probability that EOAD and LOAD patients have different amyloid-[Formula: see text] ([Formula: see text]) deposition by comparing the mean and the variance of the significant principal components obtained in the two groups with a 2-tailed Student's t-test. RESULTS We found that four principal components exhibit a significant correlation at a 95% confidence level with the age of onset in the left lateral part of the anterior temporal lobe, the right anterior orbital gyrus of the frontal lobe, the right lateral orbital gyrus of the frontal lobe and the left anterior part of the superior temporal gyrus. The data are consistent with the hypothesis that EOAD patients have a significantly different [[Formula: see text]F]florbetaben uptake than LOAD patients in those four brain regions. CONCLUSIONS Early-onset AD implies a very irregular pattern of [Formula: see text] deposition. The authors suggest that the identified textural features can be used as quantitative biomarkers for the diagnosis and characterization of EOAD patients.
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Affiliation(s)
- Jing Li
- Department of Biomedical Engineering, Huazhong University of Science and Technology, Luoyu Road, Wuhan, 430074, China
| | - Emanuele Antonecchia
- Department of Biomedical Engineering, Huazhong University of Science and Technology, Luoyu Road, Wuhan, 430074, China.,Department of Medical Physics and Engineering, Istituto Neurologico Mediterraneo NEUROMED I.R.C.C.S, Via Dell'Elettronica, 83008, Pozzilli, Italy
| | - Marco Camerlenghi
- NIM Competence Center for Digital Healthcare GmbH, Potsdamerplatz, 10, 10785, Berlin, Germany
| | - Agostino Chiaravalloti
- Department of Medical Physics and Engineering, Istituto Neurologico Mediterraneo NEUROMED I.R.C.C.S, Via Dell'Elettronica, 83008, Pozzilli, Italy. .,Department of Biomedicine and Prevention, University of Tor Vergata, 86100, Rome, Italy.
| | - Qian Chu
- Tongji Medical College, Huazhong University of Science and Technology, Hangkong Road, Wuhan, 430030, China.,Department of Oncology, Tongji Hospital, Jiefang Avenue, Wuhan, 430030, China
| | - Alfonso Di Costanzo
- Universita degli Studi del Molise, Via Francesco de Sanctis, 1, 10115, Campobasso, Italy
| | - Zhen Li
- Tongji Medical College, Huazhong University of Science and Technology, Hangkong Road, Wuhan, 430030, China.,Department of Radiology, Tongji Hospital, Jiefang Avenue, Wuhan, 430030, China
| | - Lin Wan
- Department of Software Engineering, Huazhong University of Science and Technology, Luoyu Road, Wuhan, 430074, China
| | - Xiangsong Zhang
- The First Affiliated Hospital, Sun Yat-sen University, Zhongshan 2nd Road, Guangzhou, 510080, China
| | - Nicola D'Ascenzo
- Department of Biomedical Engineering, Huazhong University of Science and Technology, Luoyu Road, Wuhan, 430074, China. .,Department of Medical Physics and Engineering, Istituto Neurologico Mediterraneo NEUROMED I.R.C.C.S, Via Dell'Elettronica, 83008, Pozzilli, Italy.
| | - Orazio Schillaci
- Department of Medical Physics and Engineering, Istituto Neurologico Mediterraneo NEUROMED I.R.C.C.S, Via Dell'Elettronica, 83008, Pozzilli, Italy.,Department of Biomedicine and Prevention, University of Tor Vergata, 86100, Rome, Italy
| | - Qingguo Xie
- Department of Biomedical Engineering, Huazhong University of Science and Technology, Luoyu Road, Wuhan, 430074, China. .,Department of Medical Physics and Engineering, Istituto Neurologico Mediterraneo NEUROMED I.R.C.C.S, Via Dell'Elettronica, 83008, Pozzilli, Italy.
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286
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Heeman F, Hendriks J, Lopes Alves I, Tolboom N, van Berckel BNM, Yaqub M, Lammertsma AA. Test-Retest Variability of Relative Tracer Delivery Rate as Measured by [ 11C]PiB. Mol Imaging Biol 2021; 23:335-339. [PMID: 33884565 PMCID: PMC8099850 DOI: 10.1007/s11307-021-01606-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2020] [Revised: 02/23/2021] [Accepted: 04/06/2021] [Indexed: 11/30/2022]
Abstract
Purpose Moderate-to-high correlations have been reported between the [11C]PiB PET-derived relative tracer delivery rate R1 and relative CBF as measured using [15O]H2O PET, supporting its use as a proxy of relative CBF. As longitudinal PET studies become more common for measuring treatment efficacy or disease progression, it is important to know the intrinsic variability of R1. The purpose of the present study was to determine this through a retrospective data analysis. Procedures Test-retest data belonging to twelve participants, who underwent two 90 min [11C]PiB PET scans, were retrospectively included. The voxel-based implementation of the two-step simplified reference tissue model with cerebellar grey matter as reference tissue was used to compute R1 images. Next, test-retest variability was calculated, and test and retest R1 measures were compared using linear mixed effect models and a Bland-Altman analysis. Results Test-retest variability was low across regions (max. 5.8 %), and test and retest measures showed high, significant correlations (R2=0.92, slope=0.98) and a negligible bias (0.69±3.07 %). Conclusions In conclusion, the high precision of [11C]PiB R1 suggests suitable applicability for cross-sectional and longitudinal studies.
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Affiliation(s)
- Fiona Heeman
- Amsterdam UMC, Vrije Universiteit Amsterdam, Radiology and Nuclear Medicine, Amsterdam Neuroscience, De Boelelaan 1117, Amsterdam, The Netherlands.
| | - Janine Hendriks
- Amsterdam UMC, Vrije Universiteit Amsterdam, Radiology and Nuclear Medicine, Amsterdam Neuroscience, De Boelelaan 1117, Amsterdam, The Netherlands
| | - Isadora Lopes Alves
- Amsterdam UMC, Vrije Universiteit Amsterdam, Radiology and Nuclear Medicine, Amsterdam Neuroscience, De Boelelaan 1117, Amsterdam, The Netherlands
| | - Nelleke Tolboom
- Imaging Division, Department of Radiology, University Medical Center Utrecht, Utrecht, Netherlands
| | - Bart N M van Berckel
- Amsterdam UMC, Vrije Universiteit Amsterdam, Radiology and Nuclear Medicine, Amsterdam Neuroscience, De Boelelaan 1117, Amsterdam, The Netherlands
| | - Maqsood Yaqub
- Amsterdam UMC, Vrije Universiteit Amsterdam, Radiology and Nuclear Medicine, Amsterdam Neuroscience, De Boelelaan 1117, Amsterdam, The Netherlands
| | - Adriaan A Lammertsma
- Amsterdam UMC, Vrije Universiteit Amsterdam, Radiology and Nuclear Medicine, Amsterdam Neuroscience, De Boelelaan 1117, Amsterdam, The Netherlands
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287
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Li Y, Cong L, Hou T, Chang L, Zhang C, Tang S, Han X, Wang Y, Wang X, Kalpouzos G, Du Y, Qiu C. Characterizing Global and Regional Brain Structures in Amnestic Mild Cognitive Impairment Among Rural Residents: A Population-Based Study. J Alzheimers Dis 2021; 80:1429-1438. [PMID: 33682713 DOI: 10.3233/jad-201372] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Background: Structural brain magnetic resonance imaging (MRI) scans may provide reliable neuroimaging markers for defining amnestic mild cognitive impairment (aMCI). Objective: We sought to characterize global and regional brain structures of aMCI among rural-dwelling older adults with limited education in China. Methods: This population-based study included 180 participants (aged≥65 years, 42 with aMCI and 138 normal controls) in the Shandong Yanggu Study of Aging and Dementia during 2014–2016. We defined aMCI following the Petersen’s criteria. Global and regional brain volumes were automatically segmented on MRI scans and compared using a region-of-interest approach. Data were analyzed using general linear regression models. Results: Multi-adjusted β-coefficient (95% confidence interval) of brain volumes (cm3) associated with aMCI was –12.07 (–21.49, –2.64) for global grey matter (GM), –18.31 (–28.45, –8.17) for global white matter (WM), 28.17 (12.83, 44.07) for cerebrospinal fluid (CSF), and 2.20 (0.24, 4.16) for white matter hyperintensities (WMH). Furthermore, aMCI was significantly associated with lower GM volumes in bilateral superior temporal gyri, thalamus and right cuneus, and lower WM volumes in lateral areas extending from the frontal to the parietal, temporal, and occipital lobes, as well as right hippocampus (p < 0.05). Conclusion: Brain structure of older adults with aMCI is characterized by reduced global GM and WM volumes, enlarged CSF volume, increased WMH burden, reduced GM volumes in bilateral superior temporal gyri, thalamus, and right cuneus, and widespread reductions of lateral WM volumes.
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Affiliation(s)
- Yuanjing Li
- Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong University, Jinan, Shandong, P. R. China
| | - Lin Cong
- Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong University, Jinan, Shandong, P. R. China
- Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, P. R. China
| | - Tingting Hou
- Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong University, Jinan, Shandong, P. R. China
- Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, P. R. China
| | - Liguo Chang
- Liaocheng Third People’s Hospital, Liaocheng, Shandong, P. R. China
| | - Chuanchen Zhang
- Department of Medical Imaging, Liaocheng People’s Hospital and Department of Medical Imaging, Liaocheng Brain Hospital, Liaocheng, Shandong, P. R. China
| | - Shi Tang
- Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong University, Jinan, Shandong, P. R. China
- Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, P. R. China
| | - Xiaolei Han
- Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong University, Jinan, Shandong, P. R. China
| | - Yongxiang Wang
- Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong University, Jinan, Shandong, P. R. China
- Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, P. R. China
| | - Xiang Wang
- Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong University, Jinan, Shandong, P. R. China
- Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, P. R. China
| | - Grégoria Kalpouzos
- Aging Research Center and Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet-Stockholm University, Stockholm, Sweden
| | - Yifeng Du
- Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong University, Jinan, Shandong, P. R. China
- Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, P. R. China
| | - Chengxuan Qiu
- Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong University, Jinan, Shandong, P. R. China
- Aging Research Center and Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet-Stockholm University, Stockholm, Sweden
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288
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Lopes Alves I, Heeman F, Collij LE, Salvadó G, Tolboom N, Vilor-Tejedor N, Markiewicz P, Yaqub M, Cash D, Mormino EC, Insel PS, Boellaard R, van Berckel BNM, Lammertsma AA, Barkhof F, Gispert JD. Strategies to reduce sample sizes in Alzheimer's disease primary and secondary prevention trials using longitudinal amyloid PET imaging. Alzheimers Res Ther 2021; 13:82. [PMID: 33875021 PMCID: PMC8056524 DOI: 10.1186/s13195-021-00819-2] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2020] [Accepted: 03/26/2021] [Indexed: 01/07/2023]
Abstract
BACKGROUND Detecting subtle-to-moderate biomarker changes such as those in amyloid PET imaging becomes increasingly relevant in the context of primary and secondary prevention of Alzheimer's disease (AD). This work aimed to determine if and when distribution volume ratio (DVR; derived from dynamic imaging) and regional quantitative values could improve statistical power in AD prevention trials. METHODS Baseline and annualized % change in [11C]PIB SUVR and DVR were computed for a global (cortical) and regional (early) composite from scans of 237 cognitively unimpaired subjects from the OASIS-3 database ( www.oasis-brains.org ). Bland-Altman and correlation analyses were used to assess the relationship between SUVR and DVR. General linear models and linear mixed effects models were used to determine effects of age, sex, and APOE-ε4 carriership on baseline and longitudinal amyloid burden. Finally, differences in statistical power of SUVR and DVR (cortical or early composite) were assessed considering three anti-amyloid trial scenarios: secondary prevention trials including subjects with (1) intermediate-to-high (Centiloid > 20.1), or (2) intermediate (20.1 < Centiloid ≤ 49.4) amyloid burden, and (3) a primary prevention trial focusing on subjects with low amyloid burden (Centiloid ≤ 20.1). Trial scenarios were set to detect 20% reduction in accumulation rates across the whole population and in APOE-ε4 carriers only. RESULTS Although highly correlated to DVR (ρ = .96), cortical SUVR overestimated DVR cross-sectionally and in annual % change. In secondary prevention trials, DVR required 143 subjects per arm, compared with 176 for SUVR. Both restricting inclusion to individuals with intermediate amyloid burden levels or to APOE-ε4 carriers alone further reduced sample sizes. For primary prevention, SUVR required less subjects per arm (n = 855) compared with DVR (n = 1508) and the early composite also provided considerable sample size reductions (n = 855 to n = 509 for SUVR, n = 1508 to n = 734 for DVR). CONCLUSION Sample sizes in AD secondary prevention trials can be reduced by the acquisition of dynamic PET scans and/or by restricting inclusion to subjects with intermediate amyloid burden or to APOE-ε4 carriers only. Using a targeted early composite only leads to reductions of sample size requirements in primary prevention trials. These findings support strategies to enable smaller Proof-of-Concept Phase II clinical trials to better streamline drug development.
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Affiliation(s)
- Isadora Lopes Alves
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
| | - Fiona Heeman
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Lyduine E Collij
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Gemma Salvadó
- Barcelonaβeta Brain Research Center, Pasqual Maragall Foundation, Barcelona, Spain
- IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain
| | - Nelleke Tolboom
- Imaging Division, Department of Radiology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Natàlia Vilor-Tejedor
- Barcelonaβeta Brain Research Center, Pasqual Maragall Foundation, Barcelona, Spain
- Centre for Genomic Regulation (CRG), The Barcelona Institute for Science and Technology, Barcelona, Spain
- Department of Clinical Genetics, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands
- Universitat Pompeu Fabra, Barcelona, Spain
| | - Pawel Markiewicz
- Centre for Medical Image Computing, Medical Physics and Biomedical Engineering, UCL, London, UK
| | - Maqsood Yaqub
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - David Cash
- Dementia Research Centre, UCL Queen Square Institute of Neurology, London, UK
| | - Elizabeth C Mormino
- Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA, USA
| | - Philip S Insel
- Clinical Memory Research Unit, Faculty of Medicine, Lund University, Lund, Sweden
- Department of Psychiatry, University of California, San Francisco, CA, USA
| | - Ronald Boellaard
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Bart N M van Berckel
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Adriaan A Lammertsma
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Frederik Barkhof
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Centre for Medical Image Computing, Medical Physics and Biomedical Engineering, UCL, London, UK
| | - Juan Domingo Gispert
- Barcelonaβeta Brain Research Center, Pasqual Maragall Foundation, Barcelona, Spain.
- IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain.
- Universitat Pompeu Fabra, Barcelona, Spain.
- Centro de Investigación Biomédica en Red Bioingeniería, Biomateriales y Nanomedicina, Madrid, Spain.
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289
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Hansen AK, Parbo P, Ismail R, Østergaard K, Brooks DJ, Borghammer P. Tau Tangles in Parkinson's Disease: A 2-Year Follow-Up Flortaucipir PET Study. JOURNAL OF PARKINSONS DISEASE 2021; 10:161-171. [PMID: 31815700 DOI: 10.3233/jpd-191774] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
BACKGROUND Flortaucipir PET, a marker of tau tangles, has shown lower than expected cortical uptake in Parkinson's disease (PD), than would be predicted from neuropathologic estimates of Alzheimer's disease co-pathology. Instead, the most characteristic finding of flortaucipir imaging in PD is decreased uptake in the substantia nigra, reflecting reduction in its "off-target" binding to neuromelanin. We have previously reported these observations in cross-sectional studies. OBJECTIVE Here, we present two-year follow-up data of cortical and nigral flortaucipir uptake in PD patients. METHODS Seventeen PD patients received repeat flortaucipir PET two years after baseline. We interrogated vertex-based group-wise cortical tracer binding (SUVRs) with a cerebellar reference using the general linear model while mean substantia nigra SUVRs were compared with volumes of interest group comparisons and voxel-wise group analyses using ANOVA. Finally, we performed linear regressions of tau load with changes in MoCA and UPDRS motor scores. RESULTS We found no significant changes in substantia nigra or cortex flortaucipir uptake in Parkinson's disease patients over two years and no association with changes in cognitive symptoms. Signal reduction in the medial substantia nigra trended towards an association with worsening of motor symptoms. CONCLUSION No significant increase in tau tangles occurred after a two-year follow-up of Parkinson's disease patients using flortaucipir PET.
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Affiliation(s)
- Allan K Hansen
- Department of Nuclear Medicine and PET, Aarhus University Hospital, Aarhus, Denmark
| | - Peter Parbo
- Department of Nuclear Medicine and PET, Aarhus University Hospital, Aarhus, Denmark
| | - Rola Ismail
- PET-Centre, Institute of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | | | - David J Brooks
- PET-Centre, Institute of Clinical Medicine, Aarhus University, Aarhus, Denmark.,Institute of Neuroscience, Newcastle University, Newcastle, UK.,Division of Brain Sciences, Imperial College London, London, UK
| | - Per Borghammer
- Department of Nuclear Medicine and PET, Aarhus University Hospital, Aarhus, Denmark.,PET-Centre, Institute of Clinical Medicine, Aarhus University, Aarhus, Denmark
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290
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Wolf RC, Hildebrandt V, Schmitgen MM, Pycha R, Kirchler E, Macina C, Karner M, Hirjak D, Kubera KM, Romanov D, Freudenmann RW, Huber M. Aberrant Gray Matter Volume and Cortical Surface in Paranoid-Type Delusional Disorder. Neuropsychobiology 2021; 79:335-344. [PMID: 32160619 DOI: 10.1159/000505601] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/25/2019] [Accepted: 12/24/2019] [Indexed: 11/19/2022]
Abstract
INTRODUCTION Delusions are core symptoms of schizophrenia-spectrum and related disorders. Despite their clinical relevance, the neural correlates underlying such phenomena are unclear. Recent research suggests that specific delusional content may be associated with distinct neural substrates. OBJECTIVE Here, we used structural magnetic resonance imaging to investigate multiple parameters of brain morphology in patients presenting with paranoid type delusional disorder (pt-DD, n = 14) compared to those of healthy controls (HC, n = 25). METHODS Voxel- and surface-based morphometry for structural data was used to investigate gray matter volume (GMV), cortical thickness (CT) and gyrification. RESULTS Compared to HC, patients with pt-DD showed reduced GMV in bilateral amygdala and right inferior frontal gyrus. Higher GMV in patients was found in bilateral orbitofrontal and in left superior frontal cortices. Patients also had lower CT in frontal and temporal regions. Abnormal gyrification in patients was evident in frontal and temporal areas, as well as in bilateral insula. CONCLUSIONS The data suggest the presence of aberrant GMV in a right prefrontal region associated with belief evaluation, as well as distinct structural abnormalities in areas that essentially subserve processing of fear, anxiety and threat in patients with pt-DD. It is possible that cortical features of distinct evolutionary and genetic origin, i.e. CT and gyrification, contribute differently to the pathogenesis of pt-DD.
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Affiliation(s)
- Robert Christian Wolf
- Center for Psychosocial Medicine, Department of General Psychiatry, Heidelberg University, Heidelberg, Germany,
| | - Viviane Hildebrandt
- Center for Psychosocial Medicine, Department of General Psychiatry, Heidelberg University, Heidelberg, Germany
| | - Mike M Schmitgen
- Center for Psychosocial Medicine, Department of General Psychiatry, Heidelberg University, Heidelberg, Germany
| | - Roger Pycha
- Department of Psychiatry, General Hospital Bruneck, Bruneck, Italy
| | - Erwin Kirchler
- Department of Psychiatry, General Hospital Bruneck, Bruneck, Italy
| | - Christian Macina
- Department of Psychiatry, General Hospital Bruneck, Bruneck, Italy
| | - Martin Karner
- Department of Radiology, General Hospital Bruneck, Bruneck, Italy
| | - Dusan Hirjak
- Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Katharina M Kubera
- Center for Psychosocial Medicine, Department of General Psychiatry, Heidelberg University, Heidelberg, Germany
| | - Dmitry Romanov
- Department of Psychiatry and Psychosomatics, I.M. Sechenov First Moscow State Medical University (Sechenov University), Moscow, Russian Federation
| | | | - Markus Huber
- Department of Psychiatry, General Hospital Bruneck, Bruneck, Italy
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291
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Pascual B, Funk Q, Zanotti-Fregonara P, Cykowski MD, Veronese M, Rockers E, Bradbury K, Yu M, Nakawah MO, Román GC, Schulz PE, Arumanayagam AS, Beers D, Faridar A, Fujita M, Appel SH, Masdeu JC. Neuroinflammation is highest in areas of disease progression in semantic dementia. Brain 2021; 144:1565-1575. [PMID: 33824991 DOI: 10.1093/brain/awab057] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2020] [Revised: 11/25/2020] [Accepted: 12/10/2020] [Indexed: 12/11/2022] Open
Abstract
Despite epidemiological and genetic data linking semantic dementia to inflammation, the topography of neuroinflammation in semantic dementia, also known as the semantic variant of primary progressive aphasia, remains unclear. The pathology starts at the tip of the left temporal lobe where, in addition to cortical atrophy, a strong signal appears with the tau PET tracer 18F-flortaucipir, even though the disease is not typically associated with tau but with TDP-43 protein aggregates. Here, we characterized the topography of inflammation in semantic variant primary progressive aphasia using high-resolution PET and the tracer 11C-PBR28 as a marker of microglial activation. We also tested the hypothesis that inflammation, by providing non-specific binding targets, could explain the 18F-flortaucipir signal in semantic variant primary progressive aphasia. Eight amyloid-PET-negative patients with semantic variant primary progressive aphasia underwent 11C-PBR28 and 18F-flortaucipir PET. Healthy controls underwent 11C-PBR28 PET (n = 12) or 18F-flortaucipir PET (n = 12). Inflammation in PET with 11C-PBR28 was analysed using Logan graphical analysis with a metabolite-corrected arterial input function. 18F-flortaucipir standardized uptake value ratios were calculated using the cerebellum as the reference region. Since monoamine oxidase B receptors are expressed by astrocytes in affected tissue, selegiline was administered to one patient with semantic variant primary progressive aphasia before repeating 18F-flortaucipir scanning to test whether monoamine oxidase B inhibition blocked flortaucipir binding, which it did not. While 11C-PBR28 uptake was mostly cortical, 18F-flortaucipir uptake was greatest in the white matter. The uptake of both tracers was increased in the left temporal lobe and in the right temporal pole, as well as in regions adjoining the left temporal pole such as insula and orbitofrontal cortex. However, peak uptake of 18F-flortaucipir localized to the left temporal pole, the epicentre of pathology, while the peak of inflammation 11C-PBR28 uptake localized to a more posterior, mid-temporal region and left insula and orbitofrontal cortex, in the periphery of the damage core. Neuroinflammation, greatest in the areas of progression of the pathological process in semantic variant primary progressive aphasia, should be further studied as a possible therapeutic target to slow disease progression.
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Affiliation(s)
- Belen Pascual
- Nantz National Alzheimer Center, Stanley H. Appel Department of Neurology, Houston Methodist Research Institute, Weill Cornell Medicine, Houston, TX, USA
| | - Quentin Funk
- Nantz National Alzheimer Center, Stanley H. Appel Department of Neurology, Houston Methodist Research Institute, Weill Cornell Medicine, Houston, TX, USA
| | - Paolo Zanotti-Fregonara
- Nantz National Alzheimer Center, Stanley H. Appel Department of Neurology, Houston Methodist Research Institute, Weill Cornell Medicine, Houston, TX, USA
| | - Matthew D Cykowski
- Department of Pathology and Genomic Medicine, Houston Methodist Research Institute, Weill Cornell Medicine, Houston, TX, USA.,Stanley H. Appel Department of Neurology, Houston Methodist Neurological Institute, Houston Methodist Research Institute, Weill Cornell Medicine, Houston, TX, USA
| | - Mattia Veronese
- Centre for Neuroimaging Sciences, King's College London, London, UK
| | - Elijah Rockers
- Nantz National Alzheimer Center, Stanley H. Appel Department of Neurology, Houston Methodist Research Institute, Weill Cornell Medicine, Houston, TX, USA
| | - Kathleen Bradbury
- Nantz National Alzheimer Center, Stanley H. Appel Department of Neurology, Houston Methodist Research Institute, Weill Cornell Medicine, Houston, TX, USA
| | - Meixiang Yu
- Cyclotron and Radiopharmaceutical Core, Houston Methodist Research Institute, Weill Cornell Medicine, Houston, TX, USA
| | - Mohammad O Nakawah
- Nantz National Alzheimer Center, Stanley H. Appel Department of Neurology, Houston Methodist Research Institute, Weill Cornell Medicine, Houston, TX, USA
| | - Gustavo C Román
- Nantz National Alzheimer Center, Stanley H. Appel Department of Neurology, Houston Methodist Research Institute, Weill Cornell Medicine, Houston, TX, USA
| | - Paul E Schulz
- Department of Neurology, McGovern Medical School of UT Health, Houston, TX, USA
| | - Anithachristy S Arumanayagam
- Department of Pathology and Genomic Medicine, Houston Methodist Research Institute, Weill Cornell Medicine, Houston, TX, USA
| | - David Beers
- Stanley H. Appel Department of Neurology, Houston Methodist Neurological Institute, Houston Methodist Research Institute, Weill Cornell Medicine, Houston, TX, USA
| | - Alireza Faridar
- Nantz National Alzheimer Center, Stanley H. Appel Department of Neurology, Houston Methodist Research Institute, Weill Cornell Medicine, Houston, TX, USA
| | - Masahiro Fujita
- Nantz National Alzheimer Center, Stanley H. Appel Department of Neurology, Houston Methodist Research Institute, Weill Cornell Medicine, Houston, TX, USA
| | - Stanley H Appel
- Stanley H. Appel Department of Neurology, Houston Methodist Neurological Institute, Houston Methodist Research Institute, Weill Cornell Medicine, Houston, TX, USA
| | - Joseph C Masdeu
- Nantz National Alzheimer Center, Stanley H. Appel Department of Neurology, Houston Methodist Research Institute, Weill Cornell Medicine, Houston, TX, USA
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Potential Impact of Statins on Neuronal Stress Responses in Patients at Risk for Cardiovascular Disease. J Pers Med 2021; 11:jpm11040261. [PMID: 33916056 PMCID: PMC8065665 DOI: 10.3390/jpm11040261] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2021] [Revised: 03/15/2021] [Accepted: 03/29/2021] [Indexed: 11/17/2022] Open
Abstract
BACKGROUND Recent studies indicate that enhanced neuronal stress responses are associated with adverse cardiovascular outcomes. A chronic inflammatory state seems to mediate this detrimental neuro-cardiac communication. Statins are among the most widely prescribed medications in primary and secondary cardiovascular disease (CVD) prevention and not only lower lipid levels but also exhibit strong anti-inflammatory and neuroprotective effects. We therefore sought to investigate the influence of statins on neuronal stress responses in a patient cohort at risk for CVD. METHODS 563 patients (61.5 ± 14.0 years) who underwent echocardiography and 18F-fluorodeoxyglucose (18F-FDG) positron emission tomography (PET) were retrospectively identified. Metabolic activity of the amygdala, a part of the brain's salience network, was quantified by 18F-FDG uptake, while normal cardiac morphology and function were assured by echocardiography. Vertebral bone marrow metabolism, a marker of inflammatory activity, was measured by 18F-FDG PET. RESULTS Increased neuronal stress responses were associated with an increased inflammatory activity in the bone marrow (r = 0.152, p = 0.015) as well as with a subclinical reduction in left ventricular ejection fraction (LVEF, r = -0.138, p = 0.025). In a fully-adjusted linear regression model, statin treatment was identified as an independent, negative predictor of amygdalar metabolic activity (B-coefficient -0.171, p = 0.043). CONCLUSIONS Our hypothesis-generating investigation suggests a potential link between the anti-inflammatory actions of statins and reduced neuronal stress responses which could lead to improved cardiovascular outcomes. The latter warrants further studies in a larger and prospective population.
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293
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Rohilla S, Duhan A, Bala K, Kaushik JS. Brain Perfusion, Hippocampal Volumetric, and Diffusion-weighted Imaging Findings in Children with Prolonged Febrile Seizures and Focal Febrile Seizures. J Pediatr Neurosci 2021; 16:137-142. [PMID: 35018182 PMCID: PMC8706595 DOI: 10.4103/jpn.jpn_87_20] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2020] [Revised: 08/06/2020] [Accepted: 10/28/2020] [Indexed: 11/25/2022] Open
Abstract
Background: The current study was conducted to describe the findings of brain perfusion, hippocampal volumetric, and diffusion-weighted imaging (DWI) in children aged six months to seven years with febrile status epilepticus (FSE) and focal febrile seizures (FFS) when compared with age and gender-matched controls. Materials and Methods: This cross-sectional study was conducted among children aged six months to seven years presenting with FSE or FFS within 72 h of the seizure. Cases were subjected to magnetic resonance imaging (MRI) brain and sleep-deprived electroencephalography. Age and gender-matched children who were subjected to MRI brain for nonepileptic indications served as their control. Hippocampal volumes, T2 values, cerebral blood flow, and diffusion characteristics were compared between the cases and controls and also between those with FSE and FFS. Results: A total of 31 cases (FFS = 20, FSE = 11) and 30 controls were enrolled. There was no significant difference between right and left hippocampal volumes and T2 relaxometry values between cases and controls and also between children with FSE and FFS. Similarly, the cerebral blood flow was also comparable in cases and controls. There was a single case of FSE with hippocampal malrotation; one child showed diffusion restriction in the hippocampus after prolonged (>60 min) FSE. Conclusion: Children with FSE and FFS had comparable hippocampal volume and brain perfusion to healthy children. However, one child with FSE had hippocampal malrotation and another had diffusion restriction. The study findings need to be interpreted in the context of small sample size, and lack of follow-up neuroimaging.
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Affiliation(s)
- Seema Rohilla
- Department of Radiodiagnosis, Pandit Bhagwat Dayal Sharma Postgraduate Institute of Medical Sciences, Rohtak, Haryana, India
| | - Aditya Duhan
- Department of Radiodiagnosis, Pandit Bhagwat Dayal Sharma Postgraduate Institute of Medical Sciences, Rohtak, Haryana, India
| | - Kiran Bala
- Department of Neurology, Pandit Bhagwat Dayal Sharma Postgraduate Institute of Medical Sciences, Rohtak, Haryana, India
| | - Jaya Shankar Kaushik
- Department of Pediatrics, Pandit Bhagwat Dayal Sharma Postgraduate Institute of Medical Sciences, Rohtak, Haryana, India
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294
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Haider A, Bengs S, Diggelmann F, Epprecht G, Etter D, Beeler AL, Wijnen WJ, Treyer V, Portmann A, Warnock GI, Grämer M, Todorov A, Fuchs TA, Pazhenkottil AP, Buechel RR, Tanner FC, Kaufmann PA, Gebhard C, Fiechter M. Age- and sex-dependent changes of resting amygdalar activity in individuals free of clinical cardiovascular disease. J Nucl Cardiol 2021; 28:427-432. [PMID: 33442821 PMCID: PMC8076110 DOI: 10.1007/s12350-020-02504-7] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2020] [Accepted: 12/17/2020] [Indexed: 11/28/2022]
Abstract
PURPOSE Amygdalar metabolic activity was shown to independently predict cardiovascular outcomes. However, little is known about age- and sex-dependent variability in neuronal stress responses among individuals free of cardiac disease. This study sought to assess age- and sex-specific differences of resting amygdalar metabolic activity in the absence of clinical cardiovascular disease. METHODS Amygdalar metabolic activity was assessed in 563 patients who underwent multimodality imaging by 18F-fluorodeoxyglucose (18F-FDG) positron emission tomography/computed tomography and echocardiography for the evaluation of cardiac function. RESULTS After exclusion of 294 patients with structural or functional cardiovascular pathologies, 269 patients (128 women) remained in the final population. 18F-FDG amygdalar activity significantly decreased with age in men (r = - 0.278, P = 0.001), but not in women (r = 0.002, P = 0.983). Similarly, dichotomous analysis confirmed a lower amygdalar activity in men ≥ 50 years as compared to those < 50 years of age (0.79 ± 0.1 vs. 0.84 ± 0.1, P = 0.007), which was not observed in women (0.81 ± 0.1 vs. 0.82 ± 0.1, P = 0.549). Accordingly, a fully adjusted linear regression analysis identified age as an independent predictor of amygdalar activity only in men (B-coefficient - 0.278, P = 0.001). CONCLUSION Amygdalar activity decreases with age in men, but not in women. The use of amygdalar activity for cardiovascular risk stratification merits consideration of inherent age- and sex-dependent variability.
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Affiliation(s)
- Achi Haider
- Department of Nuclear Medicine, University Hospital Zurich, Raemistrasse 100, 8091, Zurich, Switzerland
- Center for Molecular Cardiology, University of Zurich, 8952, Schlieren, Switzerland
| | - Susan Bengs
- Department of Nuclear Medicine, University Hospital Zurich, Raemistrasse 100, 8091, Zurich, Switzerland
- Center for Molecular Cardiology, University of Zurich, 8952, Schlieren, Switzerland
| | - Flavia Diggelmann
- Department of Nuclear Medicine, University Hospital Zurich, Raemistrasse 100, 8091, Zurich, Switzerland
- Center for Molecular Cardiology, University of Zurich, 8952, Schlieren, Switzerland
| | - Gioia Epprecht
- Department of Nuclear Medicine, University Hospital Zurich, Raemistrasse 100, 8091, Zurich, Switzerland
- Center for Molecular Cardiology, University of Zurich, 8952, Schlieren, Switzerland
| | - Dominik Etter
- Department of Nuclear Medicine, University Hospital Zurich, Raemistrasse 100, 8091, Zurich, Switzerland
- Center for Molecular Cardiology, University of Zurich, 8952, Schlieren, Switzerland
| | - Anna Luisa Beeler
- Department of Nuclear Medicine, University Hospital Zurich, Raemistrasse 100, 8091, Zurich, Switzerland
- Center for Molecular Cardiology, University of Zurich, 8952, Schlieren, Switzerland
| | - Winandus J Wijnen
- Department of Nuclear Medicine, University Hospital Zurich, Raemistrasse 100, 8091, Zurich, Switzerland
- Center for Molecular Cardiology, University of Zurich, 8952, Schlieren, Switzerland
| | - Valerie Treyer
- Department of Nuclear Medicine, University Hospital Zurich, Raemistrasse 100, 8091, Zurich, Switzerland
| | - Angela Portmann
- Department of Nuclear Medicine, University Hospital Zurich, Raemistrasse 100, 8091, Zurich, Switzerland
- Center for Molecular Cardiology, University of Zurich, 8952, Schlieren, Switzerland
| | - Geoffrey I Warnock
- Department of Nuclear Medicine, University Hospital Zurich, Raemistrasse 100, 8091, Zurich, Switzerland
- Center for Molecular Cardiology, University of Zurich, 8952, Schlieren, Switzerland
| | - Muriel Grämer
- Department of Nuclear Medicine, University Hospital Zurich, Raemistrasse 100, 8091, Zurich, Switzerland
- Center for Molecular Cardiology, University of Zurich, 8952, Schlieren, Switzerland
| | - Atanas Todorov
- Department of Nuclear Medicine, University Hospital Zurich, Raemistrasse 100, 8091, Zurich, Switzerland
| | - Tobias A Fuchs
- Department of Nuclear Medicine, University Hospital Zurich, Raemistrasse 100, 8091, Zurich, Switzerland
| | - Aju P Pazhenkottil
- Department of Nuclear Medicine, University Hospital Zurich, Raemistrasse 100, 8091, Zurich, Switzerland
- Department of Cardiology, University of Zurich, 8091, Zurich, Switzerland
| | - Ronny R Buechel
- Department of Nuclear Medicine, University Hospital Zurich, Raemistrasse 100, 8091, Zurich, Switzerland
| | - Felix C Tanner
- Department of Cardiology, University of Zurich, 8091, Zurich, Switzerland
| | - Philipp A Kaufmann
- Department of Nuclear Medicine, University Hospital Zurich, Raemistrasse 100, 8091, Zurich, Switzerland
| | - Catherine Gebhard
- Department of Nuclear Medicine, University Hospital Zurich, Raemistrasse 100, 8091, Zurich, Switzerland
- Center for Molecular Cardiology, University of Zurich, 8952, Schlieren, Switzerland
| | - Michael Fiechter
- Department of Nuclear Medicine, University Hospital Zurich, Raemistrasse 100, 8091, Zurich, Switzerland.
- Center for Molecular Cardiology, University of Zurich, 8952, Schlieren, Switzerland.
- Swiss Paraplegic Center, 6207, Nottwil, Switzerland.
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295
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Lee JH, Veronese M, Liow JS, Morse CL, Montero Santamaria JA, Haskali MB, Zoghbi SS, Pike VW, Innis RB, Zanotti-Fregonara P. Region- and voxel-based quantification in human brain of [ 18F]LSN3316612, a radioligand for O-GlcNAcase. EJNMMI Res 2021; 11:35. [PMID: 33796956 PMCID: PMC8017047 DOI: 10.1186/s13550-021-00780-z] [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: 01/10/2021] [Accepted: 03/23/2021] [Indexed: 11/25/2022] Open
Abstract
Background Previous studies found that the positron emission tomography (PET) radioligand [18F]LSN3316612 accurately quantified O-GlcNAcase in human brain using a two-tissue compartment model (2TCM). This study sought to assess kinetic model(s) as an alternative to 2TCM for quantifying [18F]LSN3316612 binding, particularly in order to generate good-quality parametric images. Methods The current study reanalyzed data from a previous study of 10 healthy volunteers who underwent both test and retest PET scans with [18F]LSN3316612. Kinetic analysis was performed at the region level with 2TCM using 120-min PET data and arterial input function, which was considered as the gold standard. Quantification was then obtained at both the region and voxel levels using Logan plot, Ichise's multilinear analysis-1 (MA1), standard spectral analysis (SA), and impulse response function at 120 min (IRF120). To avoid arterial sampling, a noninvasive relative quantification (standardized uptake value ratio (SUVR)) was also tested using the corpus callosum as a pseudo-reference region. Venous samples were also assessed to see whether they could substitute for arterial ones. Results Logan and MA1 generated parametric images of good visual quality and their total distribution volume (VT) values at both the region and voxel levels were strongly correlated with 2TCM-derived VT (r = 0.96–0.99) and showed little bias (up to − 8%). SA was more weakly correlated to 2TCM-derived VT (r = 0.93–0.98) and was more biased (~ 16%). IRF120 showed a strong correlation with 2TCM-derived VT (r = 0.96) but generated noisier parametric images. All techniques were comparable to 2TCM in terms of test–retest variability and reliability except IRF120, which gave significantly worse results. Noninvasive SUVR values were not correlated with 2TCM-derived VT, and arteriovenous equilibrium was never reached. Conclusions Compared to SA and IRF, Logan and MA1 are more suitable alternatives to 2TCM for quantifying [18F]LSN3316612 and generating good-quality parametric images.
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Affiliation(s)
- Jae-Hoon Lee
- Molecular Imaging Branch, National Institute of Mental Health, National Institutes of Health, 10 Center Drive, Bethesda, MD, 20892, USA. .,Department of Nuclear Medicine, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea.
| | - Mattia Veronese
- Department of Neuroimaging, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, UK
| | - Jeih-San Liow
- Molecular Imaging Branch, National Institute of Mental Health, National Institutes of Health, 10 Center Drive, Bethesda, MD, 20892, USA
| | - Cheryl L Morse
- Molecular Imaging Branch, National Institute of Mental Health, National Institutes of Health, 10 Center Drive, Bethesda, MD, 20892, USA
| | - Jose A Montero Santamaria
- Molecular Imaging Branch, National Institute of Mental Health, National Institutes of Health, 10 Center Drive, Bethesda, MD, 20892, USA
| | - Mohammad B Haskali
- Molecular Imaging Branch, National Institute of Mental Health, National Institutes of Health, 10 Center Drive, Bethesda, MD, 20892, USA
| | - Sami S Zoghbi
- Molecular Imaging Branch, National Institute of Mental Health, National Institutes of Health, 10 Center Drive, Bethesda, MD, 20892, USA
| | - Victor W Pike
- Molecular Imaging Branch, National Institute of Mental Health, National Institutes of Health, 10 Center Drive, Bethesda, MD, 20892, USA
| | - Robert B Innis
- Molecular Imaging Branch, National Institute of Mental Health, National Institutes of Health, 10 Center Drive, Bethesda, MD, 20892, USA
| | - Paolo Zanotti-Fregonara
- Molecular Imaging Branch, National Institute of Mental Health, National Institutes of Health, 10 Center Drive, Bethesda, MD, 20892, USA
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296
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Unraveling the Temporal Dynamics of Reward Signals in Music-Induced Pleasure with TMS. J Neurosci 2021; 41:3889-3899. [PMID: 33782048 DOI: 10.1523/jneurosci.0727-20.2020] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2020] [Revised: 12/18/2020] [Accepted: 12/21/2020] [Indexed: 11/21/2022] Open
Abstract
Music's ability to induce feelings of pleasure has been the subject of intense neuroscientific research lately. Prior neuroimaging studies have shown that music-induced pleasure engages cortico-striatal circuits related to the anticipation and receipt of biologically relevant rewards/incentives, but these reports are necessarily correlational. Here, we studied both the causal role of this circuitry and its temporal dynamics by applying transcranial magnetic stimulation (TMS) over the left dorsolateral PFC combined with fMRI in 17 male and female participants. Behaviorally, we found that, in accord with previous findings, excitation of fronto-striatal pathways enhanced subjective reports of music-induced pleasure and motivation, whereas inhibition of the same circuitry led to the reduction of both. fMRI activity patterns indicated that these behavioral changes were driven by bidirectional TMS-induced alteration of fronto-striatal function. Specifically, changes in activity in the NAcc predicted modulation of both hedonic and motivational responses, with a dissociation between pre-experiential versus experiential components of musical reward. In addition, TMS-induced changes in the fMRI functional connectivity between the NAcc and frontal and auditory cortices predicted the degree of modulation of hedonic responses. These results indicate that the engagement of cortico-striatal pathways and the NAcc, in particular, is indispensable to experience rewarding feelings from music.SIGNIFICANCE STATEMENT Neuroimaging studies have shown that music-induced pleasure engages cortico-striatal circuits involved in the processing of biologically relevant rewards. Yet, these reports are necessarily correlational. Here, we studied both the causal role of this circuitry and its temporal dynamics by combining brain stimulation over the frontal cortex with functional imaging. Behaviorally, we found that excitation and inhibition of fronto-striatal pathways enhanced and disrupted, respectively, subjective reports of music-induced pleasure and motivation. These changes were associated with changes in NAcc activity and NAcc coupling with frontal and auditory cortices, dissociating between pre-experimental versus experiential components of musical reward. These results indicate that the engagement of cortico-striatal pathways, and the NAcc in particular, is indispensable to experience rewarding feeling from music.
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297
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Tinnitus and Its Central Correlates: A Neuroimaging Study in a Large Aging Population. Ear Hear 2021; 42:1428-1435. [PMID: 33974782 DOI: 10.1097/aud.0000000000001042] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
OBJECTIVES To elucidate the association between tinnitus and brain tissue volumes and white matter microstructural integrity. DESIGN Two thousand six hundred sixteen participants (mean age, 65.7 years [SD: 7.5 years]; 53.9% female) of the population-based Rotterdam Study underwent tinnitus assessment (2011 to 2014) and magnetic resonance imaging of the brain (2011 to 2014). Associations between tinnitus (present versus absent) and total, gray, and white matter volume and global white matter microstructure were assessed using multivariable linear regression models adjusting for demographic factors, cardiovascular risk factors, depressive symptoms, Mini-Mental State Examination score, and hearing loss. Finally, potential regional gray matter density and white matter microstructural volume differences were assessed on a voxel-based level again using multivariable linear regression. RESULTS Participants with tinnitus (21.8%) had significantly larger brain tissue volumes (difference in SD, 0.09; 95% confidence interval, 0.06 to 0.13), driven by larger white matter volumes (difference, 0.12; 95% confidence interval, 0.04 to 0.21) independent of hearing loss. There was no association between tinnitus and gray matter volumes nor with global white matter microstructure. On a lobar level, tinnitus was associated with larger white matter volumes in each lobe, not with gray matter volume. Voxel-based results did not show regional specificity. CONCLUSIONS We found that tinnitus in older adults was associated with larger brain tissue volumes, driven by larger white matter volumes, independent of age, and hearing loss. Based on these results, it may be hypothesized that tinnitus potentially has a neurodevelopmental origin in earlier life independent of aging processes.
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298
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Mahler C, Schumacher AM, Unterrainer M, Kaiser L, Höllbacher T, Lindner S, Havla J, Ertl-Wagner B, Patzig M, Seelos K, Neitzel J, Mäurer M, Krumbholz M, Metz I, Brück W, Stadelmann C, Merkler D, Gass A, Milenkovic V, Bartenstein P, Albert NL, Kümpfel T, Kerschensteiner M. TSPO PET imaging of natalizumab-associated progressive multifocal leukoencephalopathy. Brain 2021; 144:2683-2695. [PMID: 33757118 DOI: 10.1093/brain/awab127] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2019] [Revised: 02/10/2021] [Accepted: 03/01/2021] [Indexed: 01/31/2023] Open
Abstract
Progressive multifocal leukoencephalopathy (PML) is a severe infection of the central nervous system caused by the polyomavirus JC (JCV) that can occur in multiple sclerosis (MS) patients treated with natalizumab. Clinical management of patients with natalizumab-associated PML is challenging not the least because current imaging tools for the early detection, longitudinal monitoring and differential diagnosis of PML lesions are limited. Here we evaluate whether TSPO positron emission tomography (PET) imaging can be applied to monitor the inflammatory activity of PML lesions over time and differentiate them from MS lesions. For this monocenter pilot study we followed 8 patients with natalizumab-associated PML with PET imaging using the TSPO radioligand [18F]GE-180 combined with frequent 3 T MRI imaging. In addition we compared TSPO PET signals in PML lesions with the signal pattern of MS lesions from 17 independent MS patients. We evaluated the standardized uptake value ratio (SUVR) as well as the morphometry of the TSPO uptake for putative PML and MS lesions areas compared to a radiologically unaffected pseudo-reference region in the cerebrum. Furthermore TSPO expression in situ was immunohistochemically verified by determining the density and cellular identity of TSPO-expressing cells in brain sections from four patients with early natalizumab-associated PML as well as five patients with other forms of PML and six patients with inflammatory demyelinating CNS lesions (clinically isolated syndrome/MS). Histological analysis revealed a reticular accumulation of TSPO expressing phagocytes in PML lesions, while such phagocytes showed a more homogenous distribution in putative MS lesions. TSPO PET imaging showed an enhanced tracer uptake in natalizumab-associated PML lesions that was present from the early to the chronic stages (up to 52 months after PML diagnosis). While gadolinium enhancement on MRI rapidly declined to baseline levels, TSPO tracer uptake followed a slow one phase decay curve. A TSPO-based 3-dimensional diagnostic matrix taking into account the uptake levels as well as the shape and texture of the TSPO signal differentiated more than 96% of PML and MS lesions. Indeed, treatment with rituximab after natalizumab-associated PML in three patients did not affect tracer uptake in the assigned PML lesions but reverted tracer uptake to baseline in the assigned active MS lesions. Taken together our study suggests that TSPO PET imaging can reveal CNS inflammation in natalizumab-associated PML. TSPO PET may facilitate longitudinal monitoring of disease activity and help to distinguish recurrent MS activity from PML progression.
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Affiliation(s)
- Christoph Mahler
- Institute of Clinical Neuroimmunology, University Hospital, Ludwig-Maximilians-Universität Munich, Munich, Germany.,Biomedical Center (BMC), Medical Faculty, Ludwig-Maximilians-Universität Munich, Martinsried, Germany
| | - Adrian-Minh Schumacher
- Institute of Clinical Neuroimmunology, University Hospital, Ludwig-Maximilians-Universität Munich, Munich, Germany.,Biomedical Center (BMC), Medical Faculty, Ludwig-Maximilians-Universität Munich, Martinsried, Germany
| | - Marcus Unterrainer
- Department of Nuclear Medicine, University Hospital, Ludwig-Maximilians-Universität Munich, Munich, Germany
| | - Lena Kaiser
- Department of Nuclear Medicine, University Hospital, Ludwig-Maximilians-Universität Munich, Munich, Germany
| | - Thomas Höllbacher
- Department of Nuclear Medicine, University Hospital, Ludwig-Maximilians-Universität Munich, Munich, Germany
| | - Simon Lindner
- Department of Nuclear Medicine, University Hospital, Ludwig-Maximilians-Universität Munich, Munich, Germany
| | - Joachim Havla
- Institute of Clinical Neuroimmunology, University Hospital, Ludwig-Maximilians-Universität Munich, Munich, Germany.,Biomedical Center (BMC), Medical Faculty, Ludwig-Maximilians-Universität Munich, Martinsried, Germany
| | - Birgit Ertl-Wagner
- Institute of Clinical Radiology, University Hospital Ludwig-Maximilians-Universität Munich, Munich, Germany
| | - Maximilian Patzig
- Institute of Neuroradiology, University Hospital, Ludwig-Maximilians-Universität Munich, Munich, Germany
| | - Klaus Seelos
- Institute of Neuroradiology, University Hospital, Ludwig-Maximilians-Universität Munich, Munich, Germany
| | - Julia Neitzel
- Institute for Stroke and Dementia Research, Ludwig-Maximilians-Universität Munich, Munich, Germany
| | | | - Markus Krumbholz
- Department of Neurology & Stroke and Hertie-Institute for Clinical Brain Research, Eberhard Karl University of Tübingen, Tübingen, Germany
| | - Imke Metz
- Institute of Neuropathology, University Medical Center Göttingen, Göttingen, Germany
| | - Wolfgang Brück
- Institute of Neuropathology, University Medical Center Göttingen, Göttingen, Germany
| | - Christine Stadelmann
- Institute of Neuropathology, University Medical Center Göttingen, Göttingen, Germany
| | - Doron Merkler
- Division of Clinical Pathology, Geneva University Hospital, Geneva, Switzerland.,Department of Pathology and Immunology, University of Geneva, Geneva, Switzerland
| | - Achim Gass
- Department of Neurology, University Hospital Mannheim, Mannheim, Germany
| | - Vladimir Milenkovic
- Department of Psychiatry and Psychotherapy, University of Regensburg, Regensburg, Germany
| | - Peter Bartenstein
- Department of Nuclear Medicine, University Hospital, Ludwig-Maximilians-Universität Munich, Munich, Germany.,Munich Cluster of Systems Neurology (SyNergy), Munich, Germany
| | - Nathalie L Albert
- Department of Nuclear Medicine, University Hospital, Ludwig-Maximilians-Universität Munich, Munich, Germany
| | - Tania Kümpfel
- Institute of Clinical Neuroimmunology, University Hospital, Ludwig-Maximilians-Universität Munich, Munich, Germany.,Biomedical Center (BMC), Medical Faculty, Ludwig-Maximilians-Universität Munich, Martinsried, Germany
| | - Martin Kerschensteiner
- Institute of Clinical Neuroimmunology, University Hospital, Ludwig-Maximilians-Universität Munich, Munich, Germany.,Biomedical Center (BMC), Medical Faculty, Ludwig-Maximilians-Universität Munich, Martinsried, Germany.,Munich Cluster of Systems Neurology (SyNergy), Munich, Germany
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299
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Heeman F, Yaqub M, Hendriks J, Bader I, Barkhof F, Gispert JD, van Berckel BNM, Lopes Alves I, Lammertsma AA. Parametric imaging of dual-time window [ 18F]flutemetamol and [ 18F]florbetaben studies. Neuroimage 2021; 234:117953. [PMID: 33762215 DOI: 10.1016/j.neuroimage.2021.117953] [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] [Received: 10/28/2020] [Revised: 01/12/2021] [Accepted: 03/05/2021] [Indexed: 11/15/2022] Open
Abstract
Optimal pharmacokinetic models for quantifying amyloid beta (Aβ) burden using both [18F]flutemetamol and [18F]florbetaben scans have previously been identified at a region of interest (ROI) level. The purpose of this study was to determine optimal quantitative methods for parametric analyses of [18F]flutemetamol and [18F]florbetaben scans. Forty-six participants were scanned on a PET/MR scanner using a dual-time window protocol and either [18F]flutemetamol (N=24) or [18F]florbetaben (N=22). The following parametric approaches were used to derive DVR estimates: reference Logan (RLogan), receptor parametric mapping (RPM), two-step simplified reference tissue model (SRTM2) and multilinear reference tissue models (MRTM0, MRTM1, MRTM2), all with cerebellar grey matter as reference tissue. In addition, a standardized uptake value ratio (SUVR) was calculated for the 90-110 min post injection interval. All parametric images were assessed visually. Regional outcome measures were compared with those from a validated ROI method, i.e. DVR derived using RLogan. Visually, RPM, and SRTM2 performed best across tracers and, in addition to SUVR, provided highest AUC values for differentiating between Aβ-positive vs Aβ-negative scans ([18F]flutemetamol: range AUC=0.96-0.97 [18F]florbetaben: range AUC=0.83-0.85). Outcome parameters of most methods were highly correlated with the reference method (R2≥0.87), while lowest correlation were observed for MRTM2 (R2=0.71-0.80). Furthermore, bias was low (≤5%) and independent of underlying amyloid burden for MRTM0 and MRTM1. The optimal parametric method differed per evaluated aspect; however, the best compromise across aspects was found for MRTM0 followed by SRTM2, for both tracers. SRTM2 is the preferred method for parametric imaging because, in addition to its good performance, it has the advantage of providing a measure of relative perfusion (R1), which is useful for measuring disease progression.
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Affiliation(s)
- Fiona Heeman
- Amsterdam UMC, Vrije Universiteit Amsterdam, Radiology and Nuclear Medicine, Amsterdam Neuroscience, De Boelelaan 1117, Amsterdam, the Netherlands.
| | - Maqsood Yaqub
- Amsterdam UMC, Vrije Universiteit Amsterdam, Radiology and Nuclear Medicine, Amsterdam Neuroscience, De Boelelaan 1117, Amsterdam, the Netherlands
| | - Janine Hendriks
- Amsterdam UMC, Vrije Universiteit Amsterdam, Radiology and Nuclear Medicine, Amsterdam Neuroscience, De Boelelaan 1117, Amsterdam, the Netherlands
| | - Ilona Bader
- Amsterdam UMC, Vrije Universiteit Amsterdam, Radiology and Nuclear Medicine, Amsterdam Neuroscience, De Boelelaan 1117, Amsterdam, the Netherlands
| | - Frederik Barkhof
- Amsterdam UMC, Vrije Universiteit Amsterdam, Radiology and Nuclear Medicine, Amsterdam Neuroscience, De Boelelaan 1117, Amsterdam, the Netherlands; UCL, Institutes of Neurology and Healthcare Engineering, London, United Kingdom
| | - Juan Domingo Gispert
- Barcelonaβeta Brain Research Centre, Pasqual Maragall Foundation, Barcelona, Spain; Centro de Investigación Biomédica en Red de Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), Madrid, Spain; Department of Experimental and Health Sciences, Universitat Pompeu Fabra, Barcelona, Spain; IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain
| | - Bart N M van Berckel
- Amsterdam UMC, Vrije Universiteit Amsterdam, Radiology and Nuclear Medicine, Amsterdam Neuroscience, De Boelelaan 1117, Amsterdam, the Netherlands
| | - Isadora Lopes Alves
- Amsterdam UMC, Vrije Universiteit Amsterdam, Radiology and Nuclear Medicine, Amsterdam Neuroscience, De Boelelaan 1117, Amsterdam, the Netherlands
| | - Adriaan A Lammertsma
- Amsterdam UMC, Vrije Universiteit Amsterdam, Radiology and Nuclear Medicine, Amsterdam Neuroscience, De Boelelaan 1117, Amsterdam, the Netherlands
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300
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Peretti DE, Renken RJ, Reesink FE, de Jong BM, De Deyn PP, Dierckx RAJO, Doorduin J, Boellaard R, Vállez García D. Feasibility of pharmacokinetic parametric PET images in scaled subprofile modelling using principal component analysis. NEUROIMAGE-CLINICAL 2021; 30:102625. [PMID: 33756179 PMCID: PMC8020472 DOI: 10.1016/j.nicl.2021.102625] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/28/2021] [Accepted: 03/05/2021] [Indexed: 11/30/2022]
Abstract
Scaled subprofile model using principal component analysis (SSM/PCA) is a multivariate analysis technique used, mainly in [18F]-2-fluoro-2-deoxy-d-glucose (FDG) PET studies, for the generation of disease-specific metabolic patterns (DP) that may aid with the classification of subjects with neurological disorders, like Alzheimer’s disease (AD). The aim of this study was to explore the feasibility of using quantitative parametric images for this type of analysis, with dynamic [11C]-labelled Pittsburgh Compound B (PIB) PET data as an example. Therefore, 15 AD patients and 15 healthy control subjects were included in an SSM/PCA analysis to generate four AD-DPs using relative cerebral blood flow (R1), binding potential (BPND) and SUVR images derived from dynamic PIB and static FDG-PET studies. Furthermore, 49 new subjects with a variety of neurodegenerative cognitive disorders were tested against these DPs. The AD-DP was characterized by a reduction in the frontal, parietal, and temporal lobes voxel values for R1 and SUVR-FDG DPs; and by a general increase of values in cortical areas for BPND and SUVR-PIB DPs. In conclusion, the results suggest that the combination of parametric images derived from a single dynamic scan might be a good alternative for subject classification instead of using 2 independent PET studies.
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Affiliation(s)
- Débora E Peretti
- University of Groningen, University Medical Center Groningen, Department of Nuclear Medicine and Molecular Imaging, The Netherlands.
| | - Remco J Renken
- University of Groningen, University Medical Center Groningen, Cognitive Neuroscience Centre, Department of Biomedical Sciences of Cell & Systems, The Netherlands
| | - Fransje E Reesink
- University of Groningen, University Medical Center Groningen, Department of Neurology, Alzheimer Research Centre, The Netherlands
| | - Bauke M de Jong
- University of Groningen, University Medical Center Groningen, Department of Neurology, Alzheimer Research Centre, The Netherlands
| | - Peter P De Deyn
- University of Groningen, University Medical Center Groningen, Department of Neurology, Alzheimer Research Centre, The Netherlands; University of Antwerp, Institute Born-Bunge, Laboratory of Neurochemistry and Behaviour, Belgium
| | - Rudi A J O Dierckx
- University of Groningen, University Medical Center Groningen, Department of Nuclear Medicine and Molecular Imaging, The Netherlands
| | - Janine Doorduin
- University of Groningen, University Medical Center Groningen, Department of Nuclear Medicine and Molecular Imaging, The Netherlands
| | - Ronald Boellaard
- University of Groningen, University Medical Center Groningen, Department of Nuclear Medicine and Molecular Imaging, The Netherlands
| | - David Vállez García
- University of Groningen, University Medical Center Groningen, Department of Nuclear Medicine and Molecular Imaging, The Netherlands
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