Menno Schoonheim

Associate Professor

Netherlands

Research Interests

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Menno Schoonheim is an Associate Professor at VUmc in the Netherlands. His research primarily focuses on multiple sclerosis, with recent articles examining cortical changes, cognitive function, and the effects of treatment on grey matter atrophy. He investigates complex networks associated with cognitive impairment and psychological symptoms in patients with this condition.

Articles (27)

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Collaborators (11)

Hong-Hsi Lee

Assistant Professor

Massachusetts General Hospital

UNITED STATES

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Frederik Barkhof

University College London

UNITED KINGDOM

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Robert Dineen

Professor of Neuroradiology

University of Nottingham

UNITED KINGDOM

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Moritz Seiler

Charité - Universitätsmedizin Berlin

GERMANY

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Charlotte Teunissen

University of Amsterdam

NETHERLANDS

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Hanneke E Hulst

University of Amsterdam

NETHERLANDS

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David Lydon-Staley

Assistant Professor

University of Pennsylvania

UNITED STATES

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Carsten Finke

GERMANY

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Cristina Granziera

SWITZERLAND

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Eva M. M. Strijbis

University of Amsterdam

NETHERLANDS

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Kerstin Ritter (née Hackmack)

Junior professor for Computational Neuroscience

Charité - Universitätsmedizin Berlin

GERMANY

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Menno Schoonheim

Research Interests

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About

Articles (27)

Evolution of Cortical Lesions and Function-Specific Cognitive Decline in People With Multiple Sclerosis

Longitudinal changes in cortical cell body and neurite density in people with multiple sclerosis

Understanding the complex network of objectively assessed cognition and self-reported psychological symptoms in people with multiple sclerosis

Plateau of practice effects and noise with repeat SDMT testing in multiple sclerosis

Treatment effects of cladribine tablets on data-driven patterns of regional grey matter atrophy in multiple sclerosis

Explaining cognitive function in multiple sclerosis through networks of grey and white matter features: a joint independent component analysis

In vivo evidence for cell body loss in cortical lesions in people with multiple sclerosis

Evaluation of machine learning-based classification of clinical impairment and prediction of clinical worsening in multiple sclerosis

Aging is associated with reduced inflammatory disease activity independent of disease duration in relapsing multiple sclerosis trial populations

Subtypes and location of (juxta)cortical lesions relate to cognitive dysfunction in people with multiple sclerosis

Cognitive progression independent of relapse in multiple sclerosis

Intrinsic and extrinsic contributors to subregional thalamic volume loss in multiple sclerosis

Higher‐order functional connectivity analysis of resting‐state functional magnetic resonance imaging data using multivariate cumulants

Exploring the effects of extended interval dosing of natalizumab and drug concentrations on brain atrophy in multiple sclerosis

Atrophy Patterns in Patients With Multiple Sclerosis With Cognitive Impairment, Fatigue, and Mood Disorders

Energy Associated With Dynamic Network Changes in Patients With Multiple Sclerosis and Cognitive Impairment

Increased flexibility of brain dynamics in patients with multiple sclerosis

Diffusion-based structural connectivity patterns of multiple sclerosis phenotypes.

Serum glial fibrillary acidic protein in natalizumab-treated relapsing-remitting multiple sclerosis: An alternative to neurofilament light

Association of Arachidonic Acid–Derived Lipid Mediators With Disease Severity in Patients With Relapsing and Progressive Multiple Sclerosis

The role of diet in multiple sclerosis onset and course: results from a nationwide retrospective birth‐year cohort

Neurophysiological MEG markers of cognitive impairment and performance validity in multiple sclerosis

A novel eye-movement impairment in multiple sclerosis indicating widespread cortical damage

Detection of grey matter microstructural substrates of neurodegeneration in multiple sclerosis

Neuroaxonal and Glial Markers in Patients of the Same Age With Multiple Sclerosis

Understanding the Role of the Choroid Plexus in Multiple Sclerosis as an MRI Biomarker of Disease Activity

Longitudinal fibre-specific white matter damage predicts cognitive decline in multiple sclerosis

Collaborators (11)

Hong-Hsi Lee

Frederik Barkhof

Robert Dineen

Moritz Seiler

Charlotte Teunissen

Hanneke E Hulst

David Lydon-Staley

Carsten Finke

Cristina Granziera

Eva M. M. Strijbis

Kerstin Ritter (née Hackmack)

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