Next move in movement disorders: neuroimaging protocols for hyperkinetic movement disorders.

FDG PET dystonia fMRI hyperkinetic movement disorders myoclonus myoclonus-dystonia tremor

Journal

Frontiers in human neuroscience
ISSN: 1662-5161
Titre abrégé: Front Hum Neurosci
Pays: Switzerland
ID NLM: 101477954

Informations de publication

Date de publication:
2024
Historique:
received: 25 03 2024
accepted: 09 08 2024
medline: 17 9 2024
pubmed: 17 9 2024
entrez: 16 9 2024
Statut: epublish

Résumé

The Next Move in Movement Disorders (NEMO) study is an initiative aimed at advancing our understanding and the classification of hyperkinetic movement disorders, including tremor, myoclonus, dystonia, and myoclonus-dystonia. The study has two main objectives: (a) to develop a computer-aided tool for precise and consistent classification of these movement disorder phenotypes, and (b) to deepen our understanding of brain pathophysiology through advanced neuroimaging techniques. This protocol review details the neuroimaging data acquisition and preprocessing procedures employed by the NEMO team to achieve these goals. To meet the study's objectives, NEMO utilizes multiple imaging techniques, including T1-weighted structural MRI, resting-state fMRI, motor task fMRI, and 18F-FDG PET scans. We will outline our efforts over the past 4 years to enhance the quality of our collected data, and address challenges such as head movements during image acquisition, choosing acquisition parameters and constructing data preprocessing pipelines. This study is the first to employ these neuroimaging modalities in a standardized approach contributing to more uniformity in the analyses of future studies comparing these patient groups. The data collected will contribute to the development of a machine learning-based classification tool and improve our understanding of disorder-specific neurobiological factors. Ethical approval has been obtained from the relevant local ethics committee. The NEMO study is designed to pioneer the application of machine learning of movement disorders. We expect to publish articles in multiple related fields of research and patients will be informed of important results via patient associations and press releases.

Identifiants

pubmed: 39281368
doi: 10.3389/fnhum.2024.1406786
pmc: PMC11392759
doi:

Types de publication

Journal Article

Langues

eng

Pagination

1406786

Informations de copyright

Copyright © 2024 Dalenberg, Peretti, Marapin, van der Stouwe, Renken and Tijssen.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Auteurs

Jelle R Dalenberg (JR)

Expertise Center Movement Disorders Groningen, University Medical Center Groningen, Groningen, Netherlands.
Department of Neurology, University of Groningen, Groningen, Netherlands.

Debora E Peretti (DE)

Laboratory of Neuroimaging and Innovative Molecular Tracers, Geneva University Neurocentre and Faculty of Medicine, University of Geneva, Geneva, Switzerland.

Lenny R Marapin (LR)

Expertise Center Movement Disorders Groningen, University Medical Center Groningen, Groningen, Netherlands.
Department of Neurology, University of Groningen, Groningen, Netherlands.

A M Madelein van der Stouwe (AMM)

Expertise Center Movement Disorders Groningen, University Medical Center Groningen, Groningen, Netherlands.
Department of Neurology, University of Groningen, Groningen, Netherlands.

Remco J Renken (RJ)

Cognitive Neuroscience Center, Department of Biomedical Sciences of Cells and Systems, University Medical Center Groningen, Groningen, Netherlands.

Marina A J Tijssen (MAJ)

Expertise Center Movement Disorders Groningen, University Medical Center Groningen, Groningen, Netherlands.
Department of Neurology, University of Groningen, Groningen, Netherlands.

Classifications MeSH