Betty M. Tijms

ORCID: 0000-0002-2612-1797
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About
Contact & Profiles
Research Areas
  • Dementia and Cognitive Impairment Research
  • Alzheimer's disease research and treatments
  • Functional Brain Connectivity Studies
  • Bioinformatics and Genomic Networks
  • Advanced Neuroimaging Techniques and Applications
  • Neurological Disease Mechanisms and Treatments
  • Neuroinflammation and Neurodegeneration Mechanisms
  • Health, Environment, Cognitive Aging
  • Genetic Associations and Epidemiology
  • Neural dynamics and brain function
  • Mental Health Research Topics
  • Tryptophan and brain disorders
  • Metabolomics and Mass Spectrometry Studies
  • Brain Tumor Detection and Classification
  • Mitochondrial Function and Pathology
  • MRI in cancer diagnosis
  • Amyloidosis: Diagnosis, Treatment, Outcomes
  • S100 Proteins and Annexins
  • Advanced Proteomics Techniques and Applications
  • Nutritional Studies and Diet
  • Advanced MRI Techniques and Applications
  • Health Systems, Economic Evaluations, Quality of Life
  • Folate and B Vitamins Research
  • Machine Learning in Bioinformatics
  • Computational Drug Discovery Methods

Amsterdam UMC Location Vrije Universiteit Amsterdam
2016-2025

Amsterdam Neuroscience
2016-2025

Amsterdam University Medical Centers
2018-2025

Vrije Universiteit Amsterdam
2018-2025

Universitat Pompeu Fabra
2022

University Medical Center
2022

University Hospital and Clinics
2022

Nia Association
2022

ID Genomics (United States)
2022

Maastricht University
2019-2021

The characterization of gray matter morphology individual brains is an important issue in neuroscience. Graph theory has been used to describe cortical morphology, with networks based on covariation volume or thickness between areas across people. Here, we extend this research by proposing a new method that describes the cortex as network. In these large-scale morphological networks, nodes represent small regions, and edges connect regions have statistically similar structure. was applied...

10.1093/cercor/bhr221 article EN Cerebral Cortex 2011-08-30

Grey matter atrophy is common in multiple sclerosis. However, contrast with other neurodegenerative diseases, it unclear whether grey sclerosis a diffuse 'global' process or develops, instead, according to distinct anatomical patterns. Using source-based morphometry we searched for patterns of co-varying cortical thickness and assessed their relationships white pathology, physical disability cognitive functioning. Magnetic resonance imaging was performed at 3 T 208 patients long-standing...

10.1093/brain/awv337 article EN Brain 2015-12-04
Willemijn J. Jansen Olin Janssen Betty M. Tijms Stephanie J. B. Vos Rik Ossenkoppele and 95 more Pieter Jelle Visser Dag Aarsland Daniel Alcolea Daniele Altomare Christine A. F. Von Arnim Simone Baiardi Inês Baldeiras Henryk Barthel Randall J. Bateman Bart van Berckel Alexa Pichet Binette Kaj Blennow Merçé Boada Henning Boecker Michel Bottlaender Anouk den Braber David J. Brooks Mark A. van Buchem Vincent Camus Jose Manuel Carill Jiří Cerman Kewei Chen Gaël Chételat Elena Chipi Ann D. Cohen Alisha Daniels Marion Delarue Mira Didic Alexander Drzezga Bruno Dubois Marie Eckerström Laura L. Ekblad Sebastiaan Engelborghs Stéphane Epelbaum Anne M. Fagan Yong Fan Tormod Fladby Adam Fleisher Wiesje M. van der Flier Stefan Förster Juan Fortea Kristian Steen Frederiksen Yvonne Freund‐Levi Lars Frings Giovanni B. Frisoni Lutz Fröhlich Tomasz Gabryelewicz Hermann‐Josef Gertz Kiran Dip Gill Olymbia Gkatzima Estrella Gómez‐Tortosa Timo Grimmer Eric Guedj Christian Habeck Harald Hampel Ron Handels Oskar Hansson Lucrezia Hausner Sabine Hellwig Michael T. Heneka Sanna‐Kaisa Herukka Helmut Hildebrandt John R. Hodges Jakub Hort Chin‐Chang Huang Ane Iriondo Yoshiaki Itoh Adrian Ivanoiu William J. Jagust Frank Jessen Peter Johannsen Keith A. Johnson Ramesh Kandimalla Elisabeth Kapaki Silke Kern Lena Kilander Aleksandra Klimkowicz‐Mrowiec William E. Klunk Norman Koglin Johannes Kornhuber Milica G. Kramberger Hung‐Chou Kuo Koen Van Laere Susan Landau Brigitte Landeau Dong Young Lee Mony J. de Leon Cristian E. Leyton Kun‐Ju Lin Alberto Lleó Malin Löwenmark Karine Madsen Wolfgang Maier Jan Marcusson Marta Marquié

One characteristic histopathological event in Alzheimer disease (AD) is cerebral amyloid aggregation, which can be detected by biomarkers cerebrospinal fluid (CSF) and on positron emission tomography (PET) scans. Prevalence estimates of pathology are important for health care planning clinical trial design. To estimate the prevalence abnormality persons with normal cognition, subjective cognitive decline, mild impairment, or AD dementia to examine potential implications cutoff methods,...

10.1001/jamaneurol.2021.5216 article EN JAMA Neurology 2022-01-31
Henne Holstege Marc Hulsman Camille Charbonnier Benjamin Grenier‐Boley Olivier Quenez and 95 more Detelina Grozeva Jeroen van Rooij Rebecca Sims Shahzad Ahmad Najaf Amin Penny J. Norsworthy Oriol Dols‐Icardo Holger Hummerich Amit Kawalia Philippe Amouyel Gary W. Beecham Claudine Berr Joshua C. Bis Anne Boland Paola Bossù Femke H. Bouwman José Brás Dominique Campion J. Nicholas Cochran Antonio Daniele Jean‐François Dartigues Stéphanie Debette Jean-François Deleuze Nicola Denning Anita L. DeStefano Lindsay A. Farrer María Victoria Fernández Nick C. Fox Daniela Galimberti Emmanuelle Génin Gilles Thomas Yann Le Guen Rita Guerreiro Jonathan L. Haines Clive Holmes M. Arfan Ikram M. Kamran Ikram Iris E. Jansen Robert Kraaij M Lathrop Afina W. Lemstra Alberto Lléo Lauren Luckcuck Marcel M.A.M. Mannens Iain Marshall Eden R. Martin Carlo Masullo Richard Mayeux Patrizia Mecocci Alun Meggy Merel O. Mol Kevin Morgan R Myers Benedetta Nacmias Adam C. Naj Valerio Napolioni Florence Pasquier Pau Pástor Margaret A. Pericak‐Vance Rachel Raybould Richard Redon Marcel J. T. Reinders Anne‐Claire Richard Steffi G. Riedel‐Heller Fernando Rivadeneira Stéphane Rousseau Natalie S. Ryan Salha Saad Pascual Sánchez-Juan Gerard D. Schellenberg Philip Scheltens Jonathan M. Schott Davide Seripa Sudha Seshadri Daoud Sie Erik A. Sistermans Sandro Sorbi Resie van Spaendonk Gianfranco Spalletta Niccoló Tesi Betty M. Tijms André G. Uitterlinden Sven J. van der Lee Pieter Jelle Visser Michael Wagner David Wallon Li-San Wang Aline Zaréa Jordi Clarimón John C. van Swieten Michael D. Greicius Jennifer S. Yokoyama Carlos Cruchaga John Hardy Alfredo Ramı́rez

Abstract Alzheimer’s disease (AD), the leading cause of dementia, has an estimated heritability approximately 70% 1 . The genetic component AD been mainly assessed using genome-wide association studies, which do not capture risk contributed by rare variants 2 Here, we compared gene-based burden damaging in exome sequencing data from 32,558 individuals—16,036 cases and 16,522 controls. Next to TREM2 , SORL1 ABCA7 observed a significant rare, predicted ATP8B4 ABCA1 with risk, suggestive signal...

10.1038/s41588-022-01208-7 article EN cc-by Nature Genetics 2022-11-21

Abstract Alzheimer’s disease (AD) is heterogenous at the molecular level. Understanding this heterogeneity critical for AD drug development. Here we define subtypes using mass spectrometry proteomics in cerebrospinal fluid, based on 1,058 proteins, with different levels individuals ( n = 419) compared to controls 187). These had alterations protein that were associated distinct processes: subtype 1 was characterized by proteins related neuronal hyperplasticity; 2 innate immune activation; 3...

10.1038/s43587-023-00550-7 article EN cc-by Nature Aging 2024-01-09

Different neurodegenerative diseases can cause memory disorders and other cognitive impairments. The early detection the stratification of patients according to underlying disease are essential for an efficient approach this healthcare challenge. This emphasizes importance differential diagnostics. Most studies compare controls, or Alzheimer's with one type dementia. Such a bilateral comparison does not resemble clinical practice, where clinician is faced number different possible types Here...

10.1016/j.nicl.2016.02.019 article EN cc-by-nc-nd NeuroImage Clinical 2016-01-01

Abstract BACKGROUND Low cerebrospinal fluid (CSF) amyloid-β 1–42 (Aβ 1–42) concentrations indicate amyloid plaque accumulation in the brain, a pathological hallmark of Alzheimer disease (AD). Innotest assay values Aβ have gradually increased over past 2 decades, which might lead to misclassification AD when single cutpoint for abnormality is used. We propose an unbiased approach statistically correct drift. METHODS determined year-specific cutpoints with Gaussian mixture modeling, based on...

10.1373/clinchem.2017.281055 article EN Clinical Chemistry 2017-12-05

Alzheimer's disease is biologically heterogeneous, and detailed understanding of the processes involved in patients critical for development treatments. CSF contains hundreds proteins, with concentrations reflecting ongoing (patho)physiological processes. This provides opportunity to study many biological at same time patients. We studied whether subtypes can be detected proteomics using dual clustering technique non-negative matrix factorization. In two independent cohorts (EMIF-AD MBD...

10.1093/brain/awaa325 article EN cc-by-nc Brain 2020-09-09
Willemijn J. Jansen Rik Ossenkoppele Betty M. Tijms Anne M. Fagan Oskar Hansson and 95 more William E. Klunk Wiesje M. van der Flier Victor L. Villemagne Giovanni B. Frisoni Adam Fleisher Alberto Lleó Mark A. Mintun Anders Wallin Sebastiaan Engelborghs Duk L. Na Gaël Chételat José Luís Molinuevo Susan Landau Niklas Mattsson Johannes Kornhuber Osama Sabri Christopher C. Rowe Lucilla Parnetti Julius Popp Tormod Fladby William J. Jagust Pauline Aalten Dong Young Lee Rik Vandenberghe Catarina R. Oliveira Elisabeth Kapaki Lutz Froelich Adrian Ivanoiu Tomasz Gabryelewicz Marcel M. Verbeek Pascual Sánchez‐Juan Helmut Hildebrandt Vincent Camus Marzena Zboch David J. Brooks Alexander Drzezga Juha O. Rinne Andrew B. Newberg Alexandre de Mendonça Marie Sarazin Gil D. Rabinovici Karine Madsen Milica G. Kramberger Agneta Nordberg Vincent Mok Barbara Mroczko David A. Wolk Philipp T. Meyer Magda Tsolaki Philip Scheltens Frans R.J. Verhey Pieter Jelle Visser Dag Aarsland Daniel Alcolea M Alexander Ina S. Almdahl Steven E. Arnold Inês Baldeiras Henryk Barthel Bart N.M. van Berckel Kaj Blennow Mark A. van Buchem Enrica Cavedo Kewei Chen Elena Chipi Ann D. Cohen Stefan Förster Juan Fortea Kristian Steen Frederiksen Yvonne Freund‐Levi Olymbia Gkatzima Mark Forrest Gordon Timo Grimmer Harald Hampel Lucrezia Hausner Sabine Hellwig Sanna‐Kaisa Herukka Peter Johannsen Aleksandra Klimkowicz‐Mrowiec Sebastian Köhler Norman Koglin Koen Van Laere Mony J. de Leon Viviana Lisetti Wolfgang Maier Jan Marcusson Olga Meulenbroek Hanne M. Møllergård John C. Morris Arto Nordlund Gerald Novak George P. Paraskevas Gayan Perera Oliver Peters Inez H.G.B. Ramakers

Cerebral amyloid-β aggregation is an early event in Alzheimer disease (AD). Understanding the association between amyloid and cognitive manifestation persons without dementia important for a better understanding of course AD design prevention trials.To investigate whether associated with functioning dementia.This cross-sectional study included 2908 participants normal cognition 4133 mild impairment (MCI) from 53 studies multicenter Amyloid Biomarker Study. Normal was defined as having no...

10.1001/jamapsychiatry.2017.3391 article EN JAMA Psychiatry 2017-11-29

Alzheimer's disease is a heterogeneous disorder. Understanding the biological basis for this heterogeneity key developing personalized medicine. We identified atrophy subtypes in dementia and tested whether these are already present prodromal could explain interindividual differences cognitive decline. First we retrospectively from structural MRI with data-driven cluster analysis three datasets of patients dementia: discovery data (dataset 1: n = 299, age 67 ± 8, 50% female), two independent...

10.1093/brain/awy264 article EN Brain 2018-09-19

Coordinated patterns of cortical morphology have been described as structural graphs and previous research has demonstrated that properties such are altered in Alzheimer's disease (AD). However, it remains unknown how these alterations related to cognitive deficits individuals, restricted group-level analysis. In the present study we investigated this question single-subject grey matter networks. This new method extracts large-scale where nodes represent small regions connected by edges when...

10.1371/journal.pone.0058921 article EN cc-by PLoS ONE 2013-03-11

Purpose To investigate the diagnostic accuracy of an image-based classifier to distinguish between Alzheimer disease (AD) and behavioral variant frontotemporal dementia (bvFTD) in individual patients by using gray matter (GM) density maps computed from standard T1-weighted structural images obtained with multiple imagers independent training prediction data. Materials Methods The local institutional review board approved study. Eighty-four AD, 51 bvFTD, 94 control subjects were divided into...

10.1148/radiol.2015150220 article EN Radiology 2015-12-11

Abstract Background Increased total tau (t-tau) in cerebrospinal fluid (CSF) is a key characteristic of Alzheimer’s disease (AD) and considered to result from neurodegeneration. T-tau levels, however, can be increased very early stages, when neurodegeneration limited, normal advanced stages. This suggests that t-tau levels may driven by other mechanisms as well. Because pathophysiology emerging treatment target for AD, we aimed clarify molecular processes associated with CSF levels. Methods...

10.1186/s13024-022-00521-3 article EN cc-by Molecular Neurodegeneration 2022-03-28

To investigate the influence of heterogeneity in disease progression for detecting treatment effects Alzheimer (AD) trials, using a simulation study.

10.1212/wnl.0000000000012022 article EN cc-by Neurology 2021-06-01

Importance Baseline cerebral microbleeds (CMBs) and APOE ε4 allele copy number are important risk factors for amyloid-related imaging abnormalities in patients with Alzheimer disease (AD) receiving therapies to lower amyloid-β plaque levels. Objective To provide prevalence estimates of any, no more than 4, or fewer 2 CMBs association amyloid status, number, age. Design, Setting, Participants This cross-sectional study used data included the Amyloid Biomarker Study pooling initiative (January...

10.1001/jamanetworkopen.2024.55571 article EN cc-by-nc-nd JAMA Network Open 2025-01-22
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