Spatial Resolution and Imaging Encoding fMRI Settings for Optimal Cortical and Subcortical Motor Somatotopy in the Human Brain.

BOLD sensitivity functional magnetic resonance imaging image resolution segregation subcortical areas

Journal

Frontiers in neuroscience
ISSN: 1662-4548
Titre abrégé: Front Neurosci
Pays: Switzerland
ID NLM: 101478481

Informations de publication

Date de publication:
2019
Historique:
received: 19 09 2018
accepted: 20 05 2019
entrez: 28 6 2019
pubmed: 28 6 2019
medline: 28 6 2019
Statut: epublish

Résumé

There is much controversy about the optimal trade-off between blood-oxygen-level-dependent (BOLD) sensitivity and spatial precision in experiments on brain's topology properties using functional magnetic resonance imaging (fMRI). The sparse empirical evidence and regional specificity of these interactions pose a practical burden for the choice of imaging protocol parameters. Here, we test in a motor somatotopy experiment the impact of fMRI spatial resolution on differentiation between body part representations in cortex and subcortical structures. Motor somatotopy patterns were obtained in a block-design paradigm and visually cued movements of face, upper and lower limbs at 1.5, 2, and 3 mm spatial resolution. The degree of segregation of the body parts' spatial representations was estimated using a pattern component model. In cortical areas, we observed the same level of segregation between somatotopy maps across all three resolutions. In subcortical areas the degree of effective similarity between spatial representations was significantly impacted by the image resolution. The 1.5 mm 3D EPI and 3 mm 2D EPI protocols led to higher segregation between motor representations compared to the 2 mm 3D EPI protocol. This finding could not be attributed to differential BOLD sensitivity or delineation of functional areas alone and suggests a crucial role of the image encoding scheme - i.e., 2D vs. 3D EPI. Our study contributes to the field by providing empirical evidence about the impact of acquisition protocols for the delineation of somatotopic areas in cortical and sub-cortical brain regions.

Identifiants

pubmed: 31244595
doi: 10.3389/fnins.2019.00571
pmc: PMC6579882
doi:

Types de publication

Journal Article

Langues

eng

Pagination

571

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Auteurs

Renaud Marquis (R)

Laboratory for Research in Neuroimaging, LREN, Department of Clinical Neurosciences, Lausanne University Hospital, CHUV, University of Lausanne, Lausanne, Switzerland.
EEG and Epilepsy Unit, Department of Clinical Neuroscience, Faculty of Medicine, Geneva University Hospitals, Geneva, Switzerland.

Sandrine Muller (S)

Laboratory for Research in Neuroimaging, LREN, Department of Clinical Neurosciences, Lausanne University Hospital, CHUV, University of Lausanne, Lausanne, Switzerland.
Lage Lab, Massachusetts General Hospital, Harvard Medical School, Richard B. Simches Research Center, MGH, Boston, MA, United States.
Stanley Center, Broad Institute, Cambridge, MA, United States.

Sara Lorio (S)

Laboratory for Research in Neuroimaging, LREN, Department of Clinical Neurosciences, Lausanne University Hospital, CHUV, University of Lausanne, Lausanne, Switzerland.
Developmental Neurosciences, UCL Great Ormond Street Institute of Child Health, University College London, London, United Kingdom.

Borja Rodriguez-Herreros (B)

Laboratory for Research in Neuroimaging, LREN, Department of Clinical Neurosciences, Lausanne University Hospital, CHUV, University of Lausanne, Lausanne, Switzerland.
Sensory-Motor Laboratory (SeMoLa), Jules-Gonin Eye Hospital, University of Lausanne, Lausanne, Switzerland.

Lester Melie-Garcia (L)

Laboratory for Research in Neuroimaging, LREN, Department of Clinical Neurosciences, Lausanne University Hospital, CHUV, University of Lausanne, Lausanne, Switzerland.

Ferath Kherif (F)

Laboratory for Research in Neuroimaging, LREN, Department of Clinical Neurosciences, Lausanne University Hospital, CHUV, University of Lausanne, Lausanne, Switzerland.

Antoine Lutti (A)

Laboratory for Research in Neuroimaging, LREN, Department of Clinical Neurosciences, Lausanne University Hospital, CHUV, University of Lausanne, Lausanne, Switzerland.

Bogdan Draganski (B)

Laboratory for Research in Neuroimaging, LREN, Department of Clinical Neurosciences, Lausanne University Hospital, CHUV, University of Lausanne, Lausanne, Switzerland.
Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.

Classifications MeSH