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Resting state functional connectivity differences between behavioral variant frontotemporal dementia and Alzheimer's disease.

Frontiers in human neuroscience

Hafkemeijer A, Möller C, Dopper EG, Jiskoot LC, Schouten TM, van Swieten JC, van der Flier WM, Vrenken H, Pijnenburg YA, Barkhof F, Scheltens P, van der Grond J, Rombouts SA.
PMID: 26441584
Front Hum Neurosci. 2015 Sep 08;9:474. doi: 10.3389/fnhum.2015.00474. eCollection 2015.

INTRODUCTION: Alzheimer's disease (AD) and behavioral variant frontotemporal dementia (bvFTD) are the most common types of early-onset dementia. Early differentiation between both types of dementia may be challenging due to heterogeneity and overlap of symptoms. Here, we apply resting...

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Hafkemeijer A, Möller C, Dopper EG, et al. Resting state functional connectivity differences between behavioral variant frontotemporal dementia and Alzheimer's disease. Front Hum Neurosci. 2015;9:474doi: 10.3389/fnhum.2015.00474.
Hafkemeijer, A., Möller, C., Dopper, E. G., Jiskoot, L. C., Schouten, T. M., van Swieten, J. C., van der Flier, W. M., Vrenken, H., Pijnenburg, Y. A., Barkhof, F., Scheltens, P., van der Grond, J., & Rombouts, S. A. (2015). Resting state functional connectivity differences between behavioral variant frontotemporal dementia and Alzheimer's disease. Frontiers in human neuroscience, 9474. https://doi.org/10.3389/fnhum.2015.00474
Hafkemeijer, Anne, et al. "Resting state functional connectivity differences between behavioral variant frontotemporal dementia and Alzheimer's disease." Frontiers in human neuroscience vol. 9 (2015): 474. doi: https://doi.org/10.3389/fnhum.2015.00474
Hafkemeijer A, Möller C, Dopper EG, Jiskoot LC, Schouten TM, van Swieten JC, van der Flier WM, Vrenken H, Pijnenburg YA, Barkhof F, Scheltens P, van der Grond J, Rombouts SA. Resting state functional connectivity differences between behavioral variant frontotemporal dementia and Alzheimer's disease. Front Hum Neurosci. 2015 Sep 08;9:474. doi: 10.3389/fnhum.2015.00474. eCollection 2015. PMID: 26441584; PMCID: PMC4561903.
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Passive Tracer Visualization to Simulate Aerodynamic Virus Transport in Noninvasive Respiratory Support Methods.

Respiration; international review of thoracic diseases

Hebbink RHJ, Elshof J, Wanrooij S, Lette W, Lokate M, Venner CH, Duiverman ML, Hagmeijer R.
PMID: 34537778
Respiration. 2021;100(12):1196-1207. doi: 10.1159/000518735. Epub 2021 Sep 15.

BACKGROUND: Various forms of noninvasive respiratory support methods are used in the treatment of hypoxemic CO-VID-19 patients, but limited data are available about the corresponding respiratory droplet dispersion.OBJECTIVES: The aim of this study was to estimate the potential spread...

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Hebbink RHJ, Elshof J, Wanrooij S, et al. Passive Tracer Visualization to Simulate Aerodynamic Virus Transport in Noninvasive Respiratory Support Methods. Respiration. 2021;100(12):1196-1207doi: 10.1159/000518735.
Hebbink, R. H. J., Elshof, J., Wanrooij, S., Lette, W., Lokate, M., Venner, C. H., Duiverman, M. L., & Hagmeijer, R. (2021). Passive Tracer Visualization to Simulate Aerodynamic Virus Transport in Noninvasive Respiratory Support Methods. Respiration; international review of thoracic diseases, 100(12), 1196-1207. https://doi.org/10.1159/000518735
Hebbink, Rutger Hendrik Johan, et al. "Passive Tracer Visualization to Simulate Aerodynamic Virus Transport in Noninvasive Respiratory Support Methods." Respiration; international review of thoracic diseases vol. 100,12 (2021): 1196-1207. doi: https://doi.org/10.1159/000518735
Hebbink RHJ, Elshof J, Wanrooij S, Lette W, Lokate M, Venner CH, Duiverman ML, Hagmeijer R. Passive Tracer Visualization to Simulate Aerodynamic Virus Transport in Noninvasive Respiratory Support Methods. Respiration. 2021;100(12):1196-1207. doi: 10.1159/000518735. Epub 2021 Sep 15. PMID: 34537778.
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Assembly principles and stoichiometry of a complete human kinetochore module.

Science advances

Walstein K, Petrovic A, Pan D, Hagemeier B, Vogt D, Vetter IR, Musacchio A.
PMID: 34193424
Sci Adv. 2021 Jun 30;7(27). doi: 10.1126/sciadv.abg1037. Print 2021 Jun.

Centromeres are epigenetically determined chromosomal loci that seed kinetochore assembly to promote chromosome segregation during cell division. CENP-A, a centromere-specific histone H3 variant, establishes the foundations for centromere epigenetic memory and kinetochore assembly. It recruits the constitutive centromere-associated network...

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Walstein K, Petrovic A, Pan D, et al. Assembly principles and stoichiometry of a complete human kinetochore module. Sci Adv. 2021;7(27)doi: 10.1126/sciadv.abg1037.
Walstein, K., Petrovic, A., Pan, D., Hagemeier, B., Vogt, D., Vetter, I. R., & Musacchio, A. (2021). Assembly principles and stoichiometry of a complete human kinetochore module. Science advances, 7(27), . https://doi.org/10.1126/sciadv.abg1037
Walstein, Kai, et al. "Assembly principles and stoichiometry of a complete human kinetochore module." Science advances vol. 7,27 (2021). doi: https://doi.org/10.1126/sciadv.abg1037
Walstein K, Petrovic A, Pan D, Hagemeier B, Vogt D, Vetter IR, Musacchio A. Assembly principles and stoichiometry of a complete human kinetochore module. Sci Adv. 2021 Jun 30;7(27). doi: 10.1126/sciadv.abg1037. Print 2021 Jun. PMID: 34193424; PMCID: PMC8245036.
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Intraoperative transit time flow measurements during off-pump coronary artery bypass surgery: The impact of coronary stenosis on competitive flow.

Journal of cardiac surgery

Halfwerk FR, Spoor P, Mariani S, Hagmeijer R, Grandjean JG.
PMID: 34676586
J Card Surg. 2022 Feb;37(2):305-313. doi: 10.1111/jocs.16103. Epub 2021 Oct 21.

BACKGROUND: Combining preoperative angiography findings with intraoperative transit time flow measurements (TTFM) may improve patency of coronary artery bypass grafts. Nevertheless, graft flow might be impaired by native coronary flow based on the severity of stenoses, with inferior long-term...

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Halfwerk FR, Spoor P, Mariani S, et al. Intraoperative transit time flow measurements during off-pump coronary artery bypass surgery: The impact of coronary stenosis on competitive flow. J Card Surg. 2021;37(2):305-313doi: 10.1111/jocs.16103.
Halfwerk, F. R., Spoor, P., Mariani, S., Hagmeijer, R., & Grandjean, J. G. (2022). Intraoperative transit time flow measurements during off-pump coronary artery bypass surgery: The impact of coronary stenosis on competitive flow. Journal of cardiac surgery, 37(2), 305-313. https://doi.org/10.1111/jocs.16103
Halfwerk, Frank R, et al. "Intraoperative transit time flow measurements during off-pump coronary artery bypass surgery: The impact of coronary stenosis on competitive flow." Journal of cardiac surgery vol. 37,2 (2022): 305-313. doi: https://doi.org/10.1111/jocs.16103
Halfwerk FR, Spoor P, Mariani S, Hagmeijer R, Grandjean JG. Intraoperative transit time flow measurements during off-pump coronary artery bypass surgery: The impact of coronary stenosis on competitive flow. J Card Surg. 2022 Feb;37(2):305-313. doi: 10.1111/jocs.16103. Epub 2021 Oct 21. PMID: 34676586.
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Accurate Prediction of Protein Sequences for Proteogenomics Data Integration.

Methods in molecular biology (Clifton, N.J.)

Hagemeijer YP, Guryev V, Horvatovich P.
PMID: 34905178
Methods Mol Biol. 2022;2420:233-260. doi: 10.1007/978-1-0716-1936-0_18.

This book chapter discusses proteogenomics data integration and provides an overview into the different omics layer involved in defining the proteome of a living organism. Various aspects of genome variability affecting either the sequence or abundance level of proteins...

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Hagemeijer YP, Guryev V, Horvatovich P. Accurate Prediction of Protein Sequences for Proteogenomics Data Integration. Methods Mol Biol. 2022;2420:233-260doi: 10.1007/978-1-0716-1936-0_18.
Hagemeijer, Y. P., Guryev, V., & Horvatovich, P. (2022). Accurate Prediction of Protein Sequences for Proteogenomics Data Integration. Methods in molecular biology (Clifton, N.J.), 2420233-260. https://doi.org/10.1007/978-1-0716-1936-0_18
Hagemeijer, Yanick Paco, et al. "Accurate Prediction of Protein Sequences for Proteogenomics Data Integration." Methods in molecular biology (Clifton, N.J.) vol. 2420 (2022): 233-260. doi: https://doi.org/10.1007/978-1-0716-1936-0_18
Hagemeijer YP, Guryev V, Horvatovich P. Accurate Prediction of Protein Sequences for Proteogenomics Data Integration. Methods Mol Biol. 2022;2420:233-260. doi: 10.1007/978-1-0716-1936-0_18. PMID: 34905178.
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Showing 49 to 53 of 53 entries