Hannelore K. van der Burgh

ORCID: 0000-0003-2898-0429
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About
Contact & Profiles
Research Areas
  • Amyotrophic Lateral Sclerosis Research
  • Parkinson's Disease Mechanisms and Treatments
  • Functional Brain Connectivity Studies
  • Alzheimer's disease research and treatments
  • Neurogenetic and Muscular Disorders Research
  • Advanced Neuroimaging Techniques and Applications
  • Advanced MRI Techniques and Applications
  • Biochemical Acid Research Studies
  • Photoacoustic and Ultrasonic Imaging
  • Advanced Fluorescence Microscopy Techniques
  • NMR spectroscopy and applications
  • Neurological disorders and treatments
  • Genetic Neurodegenerative Diseases
  • Neurological diseases and metabolism

University Medical Center Utrecht
2016-2022

Utrecht University
2018-2022

Cancer Genomics Centre
2020

De Hoogstraat Revalidatie
2020

Neurology, Inc
2020

Heidelberg University
2016

University Hospital Heidelberg
2016

Amyotrophic lateral sclerosis (ALS) is a progressive neuromuscular disease, with large variation in survival between patients. Currently, it remains rather difficult to predict based on clinical parameters alone. Here, we set out use characteristics combination MRI data of ALS patients using deep learning, machine learning technique highly effective broad range big-data analyses. A group 135 was included from whom high-resolution diffusion-weighted and T1-weighted images were acquired at the...

10.1016/j.nicl.2016.10.008 article EN cc-by-nc-nd NeuroImage Clinical 2016-10-15

Objective Clinical trials in amyotrophic lateral sclerosis (ALS) continue to rely on survival or functional scales as endpoints, despite the emergence of quantitative biomarkers. Neuroimaging‐based biomarkers ALS have been shown detect ALS‐associated pathology vivo, although anatomical patterns disease spread are poorly characterized. The objective this study is simulate propagation using network analyses cerebral magnetic resonance imaging (MRI) data predict progression. Methods Using brain...

10.1002/ana.25706 article EN cc-by-nc-nd Annals of Neurology 2020-02-19

To determine the prevalence and prognostic value of weight loss (WL) prior to diagnosis in patients with amyotrophic lateral sclerosis (ALS).We enrolled diagnosed ALS between 2010 2018 a population-based setting. At diagnosis, detailed information was obtained regarding patient's disease characteristics, anthropological changes, ALS-related genotypes cognitive functioning. Complete survival data were obtained. Cox proportional hazard models used assess association WL risk death during...

10.1136/jnnp-2020-322909 article EN Journal of Neurology Neurosurgery & Psychiatry 2020-06-23

To understand the progressive nature of amyotrophic lateral sclerosis (ALS) by investigating differential brain patterns gray and white matter involvement in clinically or genetically defined subgroups patients using cross-sectional, longitudinal, multimodal MRI.We assessed cortical thickness, subcortical volumes, connectivity from T1-weighted diffusion-weighted MRI 292 with ALS (follow-up: n = 150) 156 controls 72). Linear mixed-effects models were used to assess changes structural...

10.1212/wnl.0000000000009498 article EN cc-by-nc-nd Neurology 2020-05-16

The purpose of this study was to identify subtypes amyotrophic lateral sclerosis (ALS) by comparing patterns neurodegeneration using brain magnetic resonance imaging (MRI) and explore their phenotypes.We performed T1-weighted diffusion tensor in 488 clinically well-characterized patients with ALS 338 control subjects. Measurements whole-brain cortical thickness white matter connectome fractional anisotropy were adjusted for disease-unrelated variation. A probabilistic network-based...

10.1002/ana.26488 article EN cc-by-nc Annals of Neurology 2022-08-23

Objective The rs12608932 single nucleotide polymorphism in UNC13A is associated with amyotrophic lateral sclerosis (ALS) and frontotemporal dementia (FTD) susceptibility, may underlie differences treatment response. We aimed to characterize the clinical, cognitive, behavioral, neuroimaging phenotype of patients ALS. Methods included 2,216 ALS without a C9orf72 mutation identify clinical characteristics polymorphism. A subcohort 428 was used study cognitive behavioral profiles, 375...

10.1002/ana.25841 article EN cc-by-nc Annals of Neurology 2020-07-06

Amyotrophic lateral sclerosis (ALS) is a progressive neuromuscular disease characterized by both upper and lower motor neuron degeneration. While neuroimaging studies of the brain can detect degeneration, these MRI scans also include part cervical spinal cord, which offers possibility to expand focus towards Here, we set out investigate cross-sectional longitudinal effects in cord patients with ALS, muscular atrophy (PMA: primarily involvement) primary (PLS: involvement), their relation...

10.1016/j.nicl.2019.101984 article EN cc-by-nc-nd NeuroImage Clinical 2019-01-01

Objective We investigated effects of C9orf72 repeat expansion and gene expression on longitudinal cerebral changes before symptom onset. Methods enrolled 79 asymptomatic family members (AFMs) from 9 families with expansion. Twenty‐eight AFMs carried the mutation (C9+). Participants had up to 3 magnetic resonance imaging (MRI) scans, after which we compared motor cortex tracts between C9+ C9− using mixed models, incorporating kinship correct for familial relations lessen other genetic...

10.1002/ana.26572 article EN cc-by-nc Annals of Neurology 2022-12-13
Martijn P. van den Heuvel Lianne H. Scholtens Hannelore K. van der Burgh Federica Agosta Clara Alloza and 95 more Celso Arango Bonnie Auyeung Simon Baron‐Cohen Silvia Basaia Manon J.N.L. Benders Frauke Beyer Linda Booij Kees P. J. Braun Geraldo F. Busatto Wiepke Cahn Dara M. Cannon Tiffany M. Chaim‐Avancini Sandra S. M. Chan Eric Chen Benedicto Crespo‐Facorro Eveline A. Crone Udo Dannlowski Sonja M. C. de Zwarte Bruno Dietsche Gary Donohoe Stefan S. du Plessis Sarah Durston Covadonga M. Díaz‐Caneja Ana M. Díaz‐Zuluaga Robin Emsley Massimo Filippi Thomas Frodl Martin Gorges Beata Graff Dominik Grotegerd Dariusz Gąsecki Julie M. Hall Laurena Holleran Rosemary Holt Helene Hopman Andreas Jansen Joost Janssen Krzysztof Jodzio Lutz Jäncke Vasiliy G. Kaleda Jan Kassubek Shahrzad Kharabian Masouleh Tilo Kircher Martijn Koevoets Vladimir Kostić Axel Krug Stephen M. Lawrie И. С. Лебедева Edwin Lee Tristram A. Lett Simon J.G. Lewis Franziskus Liem Michael Lombardo Carlos López‐Jaramillo Daniel S. Margulies Sebastian Markett Paulo Marques Ignacio Martínez‐Zalacaín Colm McDonald Andrew M. McIntosh Genevieve McPhilemy Susanne Meinert José M. Menchón Christian Montag Pedro Silva Moreira Pedro Morgado David Mothersill Susan Mérillat Hans-Peter Müller Leila Nabulsi Pablo Najt Krzysztof Narkiewicz Patrycja Naumczyk Bob Oranje Víctor Ortiz‐García de la Foz Jiska S. Peper Julián Pineda Paul E. Rasser Ronny Redlich Jonathan Repple Martin Reuter Pedro G. P. Rosa Amber Ruigrok Agnieszka Sabisz Ulrich Schall Soraya Seedat Maurício H. Serpa Stavros Skouras Carles Soriano‐Mas Nuno Sousa Edyta Szurowska Alexander S. Tomyshev Diana Tordesillas‐Gutiérrez Sofie L. Valk Leonard H. van den Berg

We organized 10Kin1day, a pop-up scientific event with the goal to bring together neuroimaging groups from around world jointly analyze 10,000+ existing MRI connectivity datasets during 3-day workshop. In this report, we describe motivation and principles of public release 8,000+ connectome maps human brain.

10.3389/fneur.2019.00425 article EN cc-by Frontiers in Neurology 2019-05-09
Martijn P. van den Heuvel Lianne H. Scholtens Hannelore K. van der Burgh Fredica Agosta Clara Alloza and 95 more Tiffany M C Avancini Simon Baron‐Cohen Silvia Basaia Manon J.N.L. Benders Frauke Beyer Linda Booij Kees P. J. Braun Wiepke Cahn Dara M. Cannon Sandra S. F. Chan Eric Chen Michael Lombardo Benedicto Crespo‐Facorro Eveline A. Crone Udo Dannlowski Sonja M. C. de Zwarte Ana M. Díaz‐Zuluaga Bruno Dietsche Stefan S. du Plessis Sarah Durston Robin Emsley Geraldo F. Busatto Massimo Filippi Thomas Frodl Dariusz Gąsecki Joanna Goc Martin Gorges Beata Graff Dominik Grotegerd Julie M. Hall Laurena Holleran Helene Hopman Lutz Jäncke Andreas Jansen Krzysztof Jodzio Vasiliy G. Kaleda Jan Kassubek Shahrzad Kharabian Masouleh Tilo Kircher Martijn Koevoets Vladimir Kostić Axel Krug Stephen M. Lawrie И. С. Лебедева Edwin Lee Tristram A. Lett Simon J.G. Lewis Franziskus Liem Carlos López‐Jaramillo Daniel S. Margulies Sebastian Markett Paulo Marques Ignacio Martínez‐Zalacaín Colm McDonald Andrew M. McIntosh Genevieve McPhilemy Susanne Meinert José M. Menchón Susan Mérillat Christian Montag Pedro Silva Moreira Pedro Morgado David Mothersill Hans‐Peter Müller Leila Nabulsi Pablo Najt Krzysztof Narkiewicz Patrycja Naumczyk Sebastiaan WF Neggers Bob Oranje Víctor Ortiz‐García de la Foz Jiska S. Peper Julian A Pineda Z. Paul E. Rasser Ronny Redlich Jonathan Repple Martin Reuter Pedro GP Rosa Amber Ruigrok Agnieszka Sabisz Ulrich Schall Soraya Seedat Maurício H. Serpa Devon Shook Stavros Skouras Carles Soriano‐Mas Nuno Sousa Edyta Szurowska Alexander S. Tomyshev Diana Tordesillas‐Gutiérrez Leonardo Tozzi Sofie L. Valk Leonard H. van den Berg Theo G.M. van Erp Neeltje EM van Haren

Abstract We organized 10Kin1day, a pop-up scientific event with the goal to bring together neuroimaging groups from around world jointly analyze 10,000+ existing MRI connectivity datasets during 3-day workshop. In this report, we describe motivation and principles of public release 8,000+ connectome maps human brain.

10.1101/509554 preprint EN cc-by-nc-nd bioRxiv (Cold Spring Harbor Laboratory) 2019-01-16
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