Tijms, Betty M.

Prevalence of Cerebral Amyloid Pathology in Persons Without Dementia: A Meta-analysis

Jansen, W. J., Ossenkoppele, R., Knol, D. L., Tijms, B. M., Scheltens, P., Verhey, F. R. J., Visser, P. J., Aalten, P., Aarsland, D., Alcolea, D., et al. (2015) · JAMA

Dementia and Cognitive Impairment ResearchAlzheimer's disease research and treatments

Cited by 1,610

Diagnostic Value of Cerebrospinal Fluid Neurofilament Light Protein in Neurology: A Systematic Review and Meta-analysis

Bridel, C., van Wieringen, W. N., Zetterberg, H., Tijms, B. M., Teunissen, C. E., and the NFL Group, Alvarez-Cermeño, J. C., Andreasson, U., Axelsson, M., Bäckström, D. C., et al. (2019) · JAMA Neurology

Multiple Sclerosis Research StudiesCerebrospinal fluid and hydrocephalus

Cited by 764

Alzheimer's disease: connecting findings from graph theoretical studies of brain networks

Tijms, B. M., Wink, A. M., de Haan, W., van der Flier, W. M., Stam, C. J., Scheltens, P., & Barkhof, F. (2013) · Neurobiology of Aging

Functional Brain Connectivity StudiesDementia and Cognitive Impairment Research

Cited by 416

Prevalence Estimates of Amyloid Abnormality Across the Alzheimer Disease Clinical Spectrum

Jansen, W. J., Janssen, O., Tijms, B. M., Vos, S. J. B., Ossenkoppele, R., Visser, P. J., Amyloid Biomarker Study Group, Aarsland, D., Alcolea, D., Altomare, D., et al. (2022) · JAMA Neurology

Dementia and Cognitive Impairment ResearchAlzheimer's disease research and treatments

Cited by 290

Exome sequencing identifies rare damaging variants in ATP8B4 and ABCA1 as risk factors for Alzheimer’s disease

Holstege, H., Hulsman, M., Charbonnier, C., Grenier-Boley, B., Quenez, O., Grozeva, D., van Rooij, J. G. J., Sims, R., Ahmad, S., Amin, N., et al. (2022) · Nature Genetics

Alzheimer's disease research and treatmentsDementia and Cognitive Impairment Research

Cited by 226

Differential diagnosis of neurodegenerative diseases using structural MRI data

Koikkalainen, J., Rhodius-Meester, H., Tolonen, A., Barkhof, F., Tijms, B., Lemstra, A. W., Tong, T., Guerrero, R., Schuh, A., Ledig, C., et al. (2016) · NeuroImage: Clinical

Dementia and Cognitive Impairment ResearchArtificial Intelligence in Healthcare

Cited by 193

Genome-wide meta-analysis for Alzheimer’s disease cerebrospinal fluid biomarkers

Jansen, I. E., van der Lee, S. J., Gomez-Fonseca, D., de Rojas, I., Dalmasso, M. C., Grenier-Boley, B., Zettergren, A., Mishra, A., Ali, M., Andrade, V., et al. (2022) · Acta Neuropathologica

Alzheimer's disease research and treatmentsDementia and Cognitive Impairment Research

Cited by 132

Single-Subject Grey Matter Graphs in Alzheimer's Disease

Tijms, B. M., Möller, C., Vrenken, H., Wink, A. M., de Haan, W., van der Flier, W. M., Stam, C. J., Scheltens, P., & Barkhof, F. (2013) · PLoS ONE

Functional Brain Connectivity StudiesDementia and Cognitive Impairment Research

Cited by 132

Proteogenomic analysis of human cerebrospinal fluid identifies neurologically relevant regulation and implicates causal proteins for Alzheimer’s disease

Western, D., Timsina, J., Wang, L., Wang, C., Yang, C., Phillips, B., Wang, Y., Liu, M., Ali, M., Beric, A., et al. (2024) · Nature Genetics

Genetic Associations and EpidemiologyAlzheimer's disease research and treatments

Cited by 111

Alzheimer Disease and Behavioral Variant Frontotemporal Dementia: Automatic Classification Based on Cortical Atrophy for Single-Subject Diagnosis

Möller, C., Pijnenburg, Y. A. L., van der Flier, W. M., Versteeg, A., Tijms, B., de Munck, J. C., Hafkemeijer, A., Rombouts, S. A. R. B., van der Grond, J., van Swieten, J., et al. (2016) · Radiology

Dementia and Cognitive Impairment ResearchAlzheimer's disease research and treatments

Cited by 103

Unbiased estimates of cerebrospinal fluid β-amyloid 1–42 cutoffs in a large memory clinic population

Bertens, D., Tijms, B. M., Scheltens, P., Teunissen, C. E., & Visser, P. J. (2017) · Alzheimer's Research & Therapy

Dementia and Cognitive Impairment ResearchAlzheimer's disease research and treatments

Cited by 91

Identification of novel cerebrospinal fluid biomarker candidates for dementia with Lewy bodies: a proteomic approach

van Steenoven, I., Koel-Simmelink, M. J. A., Vergouw, L. J. M., Tijms, B. M., Piersma, S. R., Pham, T. V., Bridel, C., Ferri, G.-L., Cocco, C., Noli, B., et al. (2020) · Molecular Neurodegeneration

Parkinson's Disease Mechanisms and TreatmentsDementia and Cognitive Impairment Research

Cited by 83

Gray matter network disruptions and amyloid beta in cognitively normal adults

Tijms, B. M., Kate, M. T., Wink, A. M., Visser, P. J., Ecay, M., Clerigue, M., Estanga, A., Garcia Sebastian, M., Izagirre, A., Villanua, J., et al. (2016) · Neurobiology of Aging

Functional Brain Connectivity StudiesDementia and Cognitive Impairment Research

Cited by 59

Five-class differential diagnostics of neurodegenerative diseases using random undersampling boosting

Tong, T., Ledig, C., Guerrero, R., Schuh, A., Koikkalainen, J., Tolonen, A., Rhodius, H., Barkhof, F., Tijms, B., Lemstra, A. W., et al. (2017) · NeuroImage: Clinical

Dementia and Cognitive Impairment ResearchArtificial Intelligence in Healthcare

Cited by 54

Gray Matter Network Disruptions and Regional Amyloid Beta in Cognitively Normal Adults

ten Kate, M., Visser, P. J., Bakardjian, H., Barkhof, F., Sikkes, S. A. M., van der Flier, W. M., Scheltens, P., Hampel, H., Habert, M.-O., Dubois, B., et al. (2018) · Frontiers in Aging Neuroscience

Dementia and Cognitive Impairment ResearchFunctional Brain Connectivity Studies

Cited by 41

Thinner cortex in patients with subjective cognitive decline is associated with steeper decline of memory

Verfaillie, S. C. J., Slot, R. E., Tijms, B. M., Bouwman, F., Benedictus, M. R., Overbeek, J. M., Koene, T., Vrenken, H., Scheltens, P., Barkhof, F., et al. (2018) · Neurobiology of Aging

Dementia and Cognitive Impairment ResearchCognitive Abilities and Testing

Cited by 40

Regional associations of white matter hyperintensities and early cortical amyloid pathology

Lorenzini, L., Ansems, L. T., Lopes Alves, I., Ingala, S., Vállez García, D., Tomassen, J., Sudre, C., Salvadó, G., Shekari, M., Operto, G., et al. (2022) · Brain Communications

Dementia and Cognitive Impairment ResearchCerebrovascular and genetic disorders

Cited by 36

Disease trajectories in behavioural variant frontotemporal dementia, primary psychiatric and other neurodegenerative disorders presenting with behavioural change

Reus, L. M., Vijverberg, E. G., Tijms, B. M., Kate, M. T., Gossink, F., Krudop, W. A., Campo, M. D., Teunissen, C. E., Barkhof, F., van der Flier, W. M., et al. (2018) · Journal of Psychiatric Research

Dementia and Cognitive Impairment ResearchHistorical and Modern Theater Studies

Cited by 26

The relation between APOE genotype and cerebral microbleeds in cognitively unimpaired middle- and old-aged individuals

Ingala, S., Mazzai, L., Sudre, C. H., Salvadó, G., Brugulat-Serrat, A., Wottschel, V., Falcon, C., Operto, G., Tijms, B., Gispert, J. D., et al. (2020) · Neurobiology of Aging

Intracerebral and Subarachnoid Hemorrhage ResearchCerebrovascular and genetic disorders

Cited by 25

TREM2 risk variants and associated endophenotypes in alzheimer’s disease

Dijkstra, J. I. R., Vermunt, L., Venkatraghavan, V., Ozhegov, G., Coomans, E. M., Ossenkoppele, R., van de Giessen, E., Hulsman, M., de Geus, C. M., van der Flier, W. M., et al. (2025) · Alzheimer's Research & Therapy

Alzheimer's disease research and treatmentsDementia and Cognitive Impairment Research

Cited by 18

Overlap of neuroanatomical involvement in frontotemporal dementia and primary psychiatric disorders: a Meta-analysis

Ulugut, H., Trieu, C., Groot, C., van ’t Hooft, J. J., Tijms, B. M., Scheltens, P., Ossenkoppele, R., Barkhof, F., van den Heuvel, O. A., & Pijnenburg, Y. A. L. (2023) · Biological Psychiatry

Dementia and Cognitive Impairment ResearchNeural and Behavioral Psychology Studies

Cited by 16

Large-scale cerebrospinal fluid proteomic analysis in Alzheimer’s disease patients reveals five molecular subtypes with distinct genetic risk profiles

Tijms, B. M., Vromen, E. M., Mjaavatten, O., Holstege, H., Reus, L. M., van der Lee, S., Wesenhagen, K. E., Lorenzini, L., Vermunt, L., Venkatraghavan, V., et al. (2023) · medRxiv

Alzheimer's disease research and treatmentsDementia and Cognitive Impairment Research

Cited by 10

Multiomics machine learning identifies inflammation molecular pathways in prodromal Alzheimer’s Disease

Gómez-Pascual, A., Naccache, T., Xu, J., Hooshmand, K., Wretlind, A., Gabrielli, M., Lombardo, M. T., Shi, L., Buckley, N. J., Tijms, B. M., et al. (2023) · medRxiv

Dementia and Cognitive Impairment ResearchAlzheimer's disease research and treatments

Cited by 1

Alzheimer’s disease genetics converges on microglial and neuronal dysregulation

Uffelmann, E., Wightman, D. P., Bahrami, S., Shadrin, A. A., Fominykh, V., Ojima, T., Jiang, C., Benner, C., Moreno, E., Campos, A. I., et al. (2026) · Nature

Alzheimer's disease research and treatmentsNeuroinflammation and Neurodegeneration Mechanisms

Cited by 0