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Tainta M, Ecay-Torres M, de Arriba M, Barandiaran M, Otaegui-Arrazola A, Iriondo A, Garcia-Sebastian M, Estanga A, Saldias J, Clerigue M, Gabilondo A, Ros N, Mugica J, Barandiaran A, Mangialasche F, Kivipelto M, Arrospide A, Mar J, Martinez-Lage P. GOIZ ZAINDU study: a FINGER-like multidomain lifestyle intervention feasibility randomized trial to prevent dementia in Southern Europe. Alzheimers Res Ther 2024; 16:44. [PMID: 38413990 PMCID: PMC10898038 DOI: 10.1186/s13195-024-01393-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2023] [Accepted: 01/16/2024] [Indexed: 02/29/2024]
Abstract
BACKGROUND GOIZ ZAINDU ("caring early" in Basque) is a pilot study to adapt the Finnish Geriatric Intervention Study to Prevent Cognitive Impairment and Disability (FINGER) methodology to the Basque population and evaluate the feasibility and adherence to a FINGER-like multidomain intervention program. Additional aims included the assessment of efficacy on cognition and data collection to design a large efficacy trial. METHOD GOIZ ZAINDU is a 1-year, randomized, controlled trial of a multidomain intervention in persons aged 60+ years, with Cardiovascular Risk Factors, Aging and Dementia (CAIDE) risk score ≥ 6, no diagnosis of dementia, and below-than-expected performance in at least one of three cognitive screening tests. Randomization to a multidomain intervention (MD-Int) or regular health advice (RHA) was stratified by sex, age (>/≤ 75), and cognitive status (mild cognitive impairment (MCI)/normal cognition). MD-Int included cardiovascular risk factor control, nutritional counseling, physical activity, and cognitive training. The primary outcomes were retention rate and adherence to the intervention program. Exploratory cognitive outcomes included changes in the Neuropsychological Test Battery z-scores. Analyses were performed according to the intention to treat. RESULTS One hundred twenty-five participants were recruited (mean age: 75.64 (± 6.46); 58% women). The MD-Int (n = 61) and RHA (n = 64) groups were balanced in terms of their demographics and cognition. Fifty-two (85%) participants from the RHA group and 56 (88%) from the MD-Int group completed the study. More than 70% of the participants had high overall adherence to the intervention activities. The risk of cognitive decline was higher in the RHA group than in the MD-Int group in terms of executive function (p =.019) and processing speed scores (p =.026). CONCLUSIONS The GOIZ-ZAINDU study proved that the FINGER methodology is adaptable and feasible in a different socio-cultural environment. The exploratory efficacy results showed a lower risk of decline in executive function and processing speed in the intervention group. These results support the design of a large-scale efficacy trial. TRIAL REGISTRATION GOIZ ZAINDU feasibility trial was approved and registered by the Euskadi Drug Research Ethics Committee (ID: PI2017134) on 23 January 2018. Retrospectively registered in ClinicalTrials.gov (NCT06163716) on 8 December 2023.
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Affiliation(s)
- Mikel Tainta
- CITA-alzheimer Foundation, Donostia-San Sebastián, País Vasco, Spain
- Osakidetza, Organización Sanitaria Integrada (OSI) Goierri-Urola Garaia, País Vasco, Spain
- Instituto de Investigación Sanitaria Biodonostia, Donostia-San Sebastián, Spain
| | | | - Maria de Arriba
- CITA-alzheimer Foundation, Donostia-San Sebastián, País Vasco, Spain
| | - Myriam Barandiaran
- CITA-alzheimer Foundation, Donostia-San Sebastián, País Vasco, Spain
- Osakidetza, Organización Sanitaria Integrada (OSI) Donostialdea, País Vasco, Spain
- Instituto de Investigación Sanitaria Biodonostia, Donostia-San Sebastián, Spain
| | | | - Ane Iriondo
- CITA-alzheimer Foundation, Donostia-San Sebastián, País Vasco, Spain
| | | | - Ainara Estanga
- CITA-alzheimer Foundation, Donostia-San Sebastián, País Vasco, Spain
| | - Jon Saldias
- CITA-alzheimer Foundation, Donostia-San Sebastián, País Vasco, Spain
| | | | - Alazne Gabilondo
- Osakidetza, Organización Sanitaria Integrada (OSI) Donostialdea, País Vasco, Spain
- Osakidetza, Organización Sanitaria Integrada (OSI) Bidasoa, País Vasco, Spain
- Instituto de Investigación Sanitaria Biodonostia, Donostia-San Sebastián, Spain
| | - Naia Ros
- University of the Basque Country UPV/EHU, Donostia-San Sebastian, Spain
| | - Justo Mugica
- Osakidetza, Organización Sanitaria Integrada (OSI) Goierri-Urola Garaia, País Vasco, Spain
| | - Aitziber Barandiaran
- Osakidetza, Organización Sanitaria Integrada (OSI) Goierri-Urola Garaia, País Vasco, Spain
| | - Francesca Mangialasche
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden.
- Medical Unit Aging, Theme Inflammation and Aging, Karolinska University Hospital, Stockholm, Sweden.
| | - Miia Kivipelto
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
- Medical Unit Aging, Theme Inflammation and Aging, Karolinska University Hospital, Stockholm, Sweden
- The Ageing Epidemiology Research Unit, School of Public Health, Imperial College London, London, UK
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio, Finland
| | - Arantzazu Arrospide
- Osakidetza, Organización Sanitaria Integrada (OSI) Debagoiena, País Vasco, Spain
- Instituto de Investigación Sanitaria Biodonostia, Donostia-San Sebastián, Spain
| | - Javier Mar
- Osakidetza, Organización Sanitaria Integrada (OSI) Debagoiena, País Vasco, Spain
- Instituto de Investigación Sanitaria Biodonostia, Donostia-San Sebastián, Spain
- Instituto de Investigación en Servicios Sanitarios Kronikgune, Barakaldo, Spain
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Brik M, Sandonis M, Horrillo Murillo ER, Monfort Ortiz R, Arteaga Fernandez A, de Arriba M, Fernández S, Iglesias Román N, Parramon-Puig G, Suy A, Dip ME, Perales Marin A, Maiz N, Ramos-Quiroga JA, Carreras E. Social Support and Mental Health in the Postpartum Period in Times of SARS-CoV-2 Pandemic: Spanish Multicentre Cohort Study. Int J Environ Res Public Health 2022; 19:15445. [PMID: 36497529 PMCID: PMC9740657 DOI: 10.3390/ijerph192315445] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/06/2022] [Revised: 11/07/2022] [Accepted: 11/10/2022] [Indexed: 06/17/2023]
Abstract
BACKGROUND To explore the depression and anxiety symptoms in the postpartum period during the SARS-CoV-2 pandemic and to identify potential risk factors. METHODS A multicentre observational cohort study including 536 women was performed at three hospitals in Spain. The Edinburgh Postnatal Depression Scale (EPDS), the State-Trait Anxiety Inventory (STAI) Scale, the Medical Outcomes Study Social Support Survey (MOS-SSS), and the Postpartum Bonding Questionnaire (PBQ) were assessed after birth. Depression (EPDS) and anxiety (STAI) symptoms were measured, and the cut-off scores were set at 10 and 13 for EPDS, and at 40 for STAI. RESULTS Regarding EPDS, 32.3% (95% CI, 28% to 36.5%) of women had a score ≥ 10, and 17.3% (95% CI, 13.9% to 20.7%) had a score ≥ 13. Women with an STAI score ≥ 40 accounted for 46.8% (95% CI, 42.3% to 51.2%). A lower level of social support (MOS-SSS), a fetal malformation diagnosis and a history of depression (p = 0.000, p = 0.019 and p = 0.043) were independent risk factors for postpartum depression. A lower level of social support and a history of mental health disorders (p = 0.000, p = 0.003) were independent risk factors for postpartum anxiety. CONCLUSION During the SARS-CoV-2 pandemic, an increase in symptoms of anxiety and depression were observed during the postpartum period.
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Affiliation(s)
- Maia Brik
- Maternal-Fetal Medicine Unit, Department of Obstetrics, Hospital Universitari Vall d’Hebron, Universitat Autònoma de Barcelona, 08035 Barcelona, Spain
| | - Miguel Sandonis
- Department of Mental Health, Hospital Universitari Vall d’Hebron, 08035 Barcelona, Spain
- Department of Psychiatry and Forensic Medicine, Universitat Autònoma de Barcelona, 08035 Barcelona, Spain
| | | | | | | | - Maria de Arriba
- Obstetrics Department, Hospital Universitario La Fe, 46026 Valencia, Spain
| | - Sara Fernández
- Maternal-Fetal Medicine Unit, Department of Obstetrics, Hospital Universitari Vall d’Hebron, Universitat Autònoma de Barcelona, 08035 Barcelona, Spain
| | - Nuria Iglesias Román
- Obstetrics Department, Hospital Universitario 12 de Octubre, 28041 Madrid, Spain
| | - Gemma Parramon-Puig
- Department of Mental Health, Hospital Universitari Vall d’Hebron, 08035 Barcelona, Spain
| | - Anna Suy
- Maternal-Fetal Medicine Unit, Department of Obstetrics, Hospital Universitari Vall d’Hebron, Universitat Autònoma de Barcelona, 08035 Barcelona, Spain
| | - María Emilia Dip
- Department of Mental Health, Hospital Universitari Vall d’Hebron, 08035 Barcelona, Spain
| | | | - Nerea Maiz
- Maternal-Fetal Medicine Unit, Department of Obstetrics, Hospital Universitari Vall d’Hebron, Universitat Autònoma de Barcelona, 08035 Barcelona, Spain
| | - Josep Antoni Ramos-Quiroga
- Department of Mental Health, Hospital Universitari Vall d’Hebron, 08035 Barcelona, Spain
- Department of Psychiatry and Forensic Medicine, Universitat Autònoma de Barcelona, 08035 Barcelona, Spain
- Group of Psychiatry, Mental Health and Addictions, Vall d’Hebron Research Institute (VHIR), 08035 Barcelona, Spain
- Biomedical Network Research Centre on Mental Health (CIBERSAM), 08035 Barcelona, Spain
| | - Elena Carreras
- Maternal-Fetal Medicine Unit, Department of Obstetrics, Hospital Universitari Vall d’Hebron, Universitat Autònoma de Barcelona, 08035 Barcelona, Spain
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Peixoto C, Castro M, Carriles I, Arriba MD, Lapresa V, Alcazar JL. Diagnosing Septate Uterus Using Three-Dimensional Ultrasound Using Three Different Classifications: An Interobserver and Intraobserver Agreement Study. Rev Bras Ginecol Obstet 2021; 43:911-918. [PMID: 34933384 PMCID: PMC10183891 DOI: 10.1055/s-0041-1740271] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022] Open
Abstract
OBJECTIVE Currently, there are up to three different classifications for diagnosing septate uterus. The interobserver agreement among them has been poorly assessed. OBJECTIVE To assess the interobserver agreement of nonexpert sonographers for classifying septate uterus using the European Society of Human Reproduction and Embryology/European Society for Gynaecological Endoscopy (ESHRE/ESGE), American Society for Reproductive Medicine (ASRM), and Congenital Uterine Malformations by Experts (CUME) classifications. METHODS A total of 50 three-dimensional (3D) volumes of a nonconsecutive series of women with suspected uterine malformation were used. Two nonexpert examiners evaluated a single 3D volume of the uterus of each woman, blinded to each other. The following measurements were performed: indentation depth, indentation angle, uterine fundal wall thickness, external fundal indentation, and indentation-to-wall-thickness (I:WT) ratio. Each observer had to assign a diagnosis in each case, according to the three classification systems (ESHRE/ESGE, ASRM, and CUME). The interobserver agreement regarding the ESHRE/ESGE, ASRM, and CUME classifications was assessed using the Cohen weighted kappa index (k). Agreement regarding the three classifications (ASRM versus ESHRE/ESGE, ASRM versus CUME, ESHRE/ESGE versus CUME) was also assessed. RESULTS The interobserver agreement between the 2 nonexpert examiners was good for the ESHRE/ESGE (k = 0.74; 95% confidence interval [CI]: 0.55-0.92) and very good for the ASRM and CUME classification systems (k = 0.95; 95%CI: 0.86-1.00; and k = 0.91; 95%CI: 0.79-1.00, respectively). Agreement between the ESHRE/ESGE and ASRM classifications was moderate for both examiners. Agreement between the ESHRE/ESGE and CUME classifications was moderate for examiner 1 and good for examiner 2. Agreement between the ASRM and CUME classifications was good for both examiners. CONCLUSION The three classifications have good (ESHRE/ESGE) or very good (ASRM and CUME) interobserver agreement. Agreement between the ASRM and CUME classifications was higher than that for the ESHRE/ESGE and ASRM and ESHRE/ESGE and CUME classifications.
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Affiliation(s)
- Carla Peixoto
- Department of Obstetrics and Gynecology, Centro Hospitalar São João, Porto, Portugal.,Faculty of Medicine, University of Porto, Porto, Portugal
| | - Maite Castro
- Centro de Infertilidad y Reproduccion Humana, Barcelona, Spain
| | - Isabel Carriles
- Department of Obstetrics and Gynecology, Clínica Universidad de Navarra, University of Navarra, Pamplona, Spain
| | - Maria de Arriba
- Department of Obstetrics and Gynecology, University and Polytechnic Hospital La Fe, Valencia, Spain
| | - Victoria Lapresa
- Department of Obstetrics and Gynecology, University Hospital, Salamanca, Spain
| | - Juan Luis Alcazar
- Department of Obstetrics and Gynecology, Clínica Universidad de Navarra, University of Navarra, Pamplona, Spain
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van der Ende EL, Meeter LH, Poos JM, Panman JL, Jiskoot LC, Dopper EGP, Papma JM, de Jong FJ, Verberk IMW, Teunissen C, Rizopoulos D, Heller C, Convery RS, Moore KM, Bocchetta M, Neason M, Cash DM, Borroni B, Galimberti D, Sanchez-Valle R, Laforce R, Moreno F, Synofzik M, Graff C, Masellis M, Carmela Tartaglia M, Rowe JB, Vandenberghe R, Finger E, Tagliavini F, de Mendonça A, Santana I, Butler C, Ducharme S, Gerhard A, Danek A, Levin J, Otto M, Frisoni GB, Cappa S, Pijnenburg YAL, Rohrer JD, van Swieten JC, Warren JD, Fox NC, Woollacott IO, Shafei R, Greaves C, Guerreiro R, Bras J, Thomas DL, Nicholas J, Mead S, van Minkelen R, Barandiaran M, Indakoetxea B, Gabilondo A, Tainta M, de Arriba M, Gorostidi A, Zulaica M, Villanua J, Diaz Z, Borrego-Ecija S, Olives J, Lladó A, Balasa M, Antonell A, Bargallo N, Premi E, Cosseddu M, Gazzina S, Padovani A, Gasparotti R, Archetti S, Black S, Mitchell S, Rogaeva E, Freedman M, Keren R, Tang-Wai D, Öijerstedt L, Andersson C, Jelic V, Thonberg H, Arighi A, Fenoglio C, Scarpini E, Fumagalli G, Cope T, Timberlake C, Rittman T, Shoesmith C, Bartha R, Rademakers R, Wilke C, Karnath HO, Bender B, Bruffaerts R, Vandamme P, Vandenbulcke M, Ferreira CB, Miltenberger G, Maruta C, Verdelho A, Afonso S, Taipa R, Caroppo P, Di Fede G, Giaccone G, Prioni S, Redaelli V, Rossi G, Tiraboschi P, Duro D, Rosario Almeida M, Castelo-Branco M, João Leitão M, Tabuas-Pereira M, Santiago B, Gauthier S, Schonecker S, Semler E, Anderl-Straub S, Benussi L, Binetti G, Ghidoni R, Pievani M, Lombardi G, Nacmias B, Ferrari C, Bessi V. Serum neurofilament light chain in genetic frontotemporal dementia: a longitudinal, multicentre cohort study. Lancet Neurol 2019; 18:1103-1111. [PMID: 31701893 DOI: 10.1016/s1474-4422(19)30354-0] [Citation(s) in RCA: 119] [Impact Index Per Article: 23.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2019] [Revised: 07/26/2019] [Accepted: 08/13/2019] [Indexed: 12/15/2022]
Abstract
BACKGROUND Neurofilament light chain (NfL) is a promising blood biomarker in genetic frontotemporal dementia, with elevated concentrations in symptomatic carriers of mutations in GRN, C9orf72, and MAPT. A better understanding of NfL dynamics is essential for upcoming therapeutic trials. We aimed to study longitudinal NfL trajectories in people with presymptomatic and symptomatic genetic frontotemporal dementia. METHODS We recruited participants from 14 centres collaborating in the Genetic Frontotemporal Dementia Initiative (GENFI), which is a multicentre cohort study of families with genetic frontotemporal dementia done across Europe and Canada. Eligible participants (aged ≥18 years) either had frontotemporal dementia due to a pathogenic mutation in GRN, C9orf72, or MAPT (symptomatic mutation carriers) or were healthy at-risk first-degree relatives (either presymptomatic mutation carriers or non-carriers), and had at least two serum samples with a time interval of 6 months or more. Participants were excluded if they had neurological comorbidities that were likely to affect NfL, including cerebrovascular events. We measured NfL longitudinally in serum samples collected between June 8, 2012, and Dec 8, 2017, through follow-up visits annually or every 2 years, which also included MRI and neuropsychological assessments. Using mixed-effects models, we analysed NfL changes over time and correlated them with longitudinal imaging and clinical parameters, controlling for age, sex, and study site. The primary outcome was the course of NfL over time in the various stages of genetic frontotemporal dementia. FINDINGS We included 59 symptomatic carriers and 149 presymptomatic carriers of a mutation in GRN, C9orf72, or MAPT, and 127 non-carriers. Nine presymptomatic carriers became symptomatic during follow-up (so-called converters). Baseline NfL was elevated in symptomatic carriers (median 52 pg/mL [IQR 24-69]) compared with presymptomatic carriers (9 pg/mL [6-13]; p<0·0001) and non-carriers (8 pg/mL [6-11]; p<0·0001), and was higher in converters than in non-converting carriers (19 pg/mL [17-28] vs 8 pg/mL [6-11]; p=0·0007; adjusted for age). During follow-up, NfL increased in converters (b=0·097 [SE 0·018]; p<0·0001). In symptomatic mutation carriers overall, NfL did not change during follow-up (b=0·017 [SE 0·010]; p=0·101) and remained elevated. Rates of NfL change over time were associated with rate of decline in Mini Mental State Examination (b=-94·7 [SE 33·9]; p=0·003) and atrophy rate in several grey matter regions, but not with change in Frontotemporal Lobar Degeneration-Clinical Dementia Rating scale score (b=-3·46 [SE 46·3]; p=0·941). INTERPRETATION Our findings show the value of blood NfL as a disease progression biomarker in genetic frontotemporal dementia and suggest that longitudinal NfL measurements could identify mutation carriers approaching symptom onset and capture rates of brain atrophy. The characterisation of NfL over the course of disease provides valuable information for its use as a treatment effect marker. FUNDING ZonMw and the Bluefield project.
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Affiliation(s)
- Emma L van der Ende
- Department of Neurology and Alzheimer Center, Erasmus Medical Center Rotterdam, Rotterdam, Netherlands
| | - Lieke H Meeter
- Department of Neurology and Alzheimer Center, Erasmus Medical Center Rotterdam, Rotterdam, Netherlands
| | - Jackie M Poos
- Department of Neurology and Alzheimer Center, Erasmus Medical Center Rotterdam, Rotterdam, Netherlands
| | - Jessica L Panman
- Department of Neurology and Alzheimer Center, Erasmus Medical Center Rotterdam, Rotterdam, Netherlands; Department of Radiology, Leiden University Medical Center, Leiden, Netherlands
| | - Lize C Jiskoot
- Department of Neurology and Alzheimer Center, Erasmus Medical Center Rotterdam, Rotterdam, Netherlands; Dementia Research Institute, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK
| | - Elise G P Dopper
- Department of Neurology and Alzheimer Center, Erasmus Medical Center Rotterdam, Rotterdam, Netherlands
| | - Janne M Papma
- Department of Neurology and Alzheimer Center, Erasmus Medical Center Rotterdam, Rotterdam, Netherlands
| | - Frank Jan de Jong
- Department of Neurology and Alzheimer Center, Erasmus Medical Center Rotterdam, Rotterdam, Netherlands
| | - Inge M W Verberk
- Neurochemistry Laboratory, Department of Clinical Chemistry, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, Netherlands
| | - Charlotte Teunissen
- Neurochemistry Laboratory, Department of Clinical Chemistry, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, Netherlands
| | - Dimitris Rizopoulos
- Department of Biostatistics, Erasmus Medical Center Rotterdam, Rotterdam, Netherlands
| | - Carolin Heller
- Dementia Research Institute, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK
| | - Rhian S Convery
- Dementia Research Institute, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK
| | - Katrina M Moore
- Dementia Research Institute, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK
| | - Martina Bocchetta
- Dementia Research Institute, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK
| | - Mollie Neason
- Dementia Research Institute, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK
| | - David M Cash
- Dementia Research Institute, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK
| | - Barbara Borroni
- Centre for Neurodegenerative Disorders, Neurology unit, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
| | - Daniela Galimberti
- Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Neurodegenerative Diseases Unit, Milan, Italy; University of Milan, Centro Dino Ferrari, Milan, Italy
| | - Raquel Sanchez-Valle
- Hospital Clinic de Barcelona, IDIBAPS, University of Barcelona, Barcelona, Spain
| | | | - Fermin Moreno
- Department of Neurology, Hospital Universitario Donostia, Gipuzkoa, Spain
| | - Matthis Synofzik
- Hertie-Institute for Clinical Brain Research Tübingen, Tübingen, Germany; German Center for Neurodegenerative Diseases (DZNE) Tübingen, Tübingen, Germany
| | - Caroline Graff
- Karolinska Institutet, Dept NVS, Division of Neurogeriatrics, Stockholm, Sweden; Unit of Hereditary Dementia, Theme Aging, Karolinska University Hospital-Solna, Stockholm, Sweden
| | | | - Maria Carmela Tartaglia
- Tanz Centre for Research in Neurodegenerative Disease, University of Toronto, Toronto, ON, Canada
| | - James B Rowe
- Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
| | - Rik Vandenberghe
- Laboratory for Cognitive Neurology, Department of Neurosciences, KU Leuven, Leuven, Belgium
| | - Elizabeth Finger
- Department of Clinical Neurological Sciences, University of Western Ontario, London, ON, Canada
| | | | | | - Isabel Santana
- Center for Neuroscience and Cell Biology, Faculty of Medicine, University of Coimbra, Coimbra, Portugal
| | - Chris Butler
- Department of Clinical Neurology, University of Oxford, Oxford, UK
| | - Simon Ducharme
- Montreal Neurological Institute and McGill University Health Centre, McGill University, Montreal, QC, Canada
| | - Alex Gerhard
- Faculty of Medical and Human Sciences, Institute of Brain, Behaviour and Mental Health, University of Manchester, Manchester, UK
| | - Adrian Danek
- Neurologische Klinik und Poliklinik, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Johannes Levin
- Neurologische Klinik und Poliklinik, Ludwig-Maximilians-Universität München, Munich, Germany; German Center for Neurodegenerative Diseases, Munich, Germany; Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Markus Otto
- Department of Neurology, Universität Ulm, Ulm, Germany
| | - Giovanni B Frisoni
- IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy
| | - Stefano Cappa
- IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy
| | - Yolande A L Pijnenburg
- Alzheimer Center Amsterdam and Department of Neurology, Amsterdam Neuroscience, Amsterdam University Medical Center, location VU University Medical Center, Amsterdam, Netherlands
| | - Jonathan D Rohrer
- Dementia Research Institute, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK
| | - John C van Swieten
- Department of Neurology and Alzheimer Center, Erasmus Medical Center Rotterdam, Rotterdam, Netherlands.
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