Deep brain imaging of three participants across 1 year: The Bergen breakfast scanning club project

Our understanding of the cognitive functions of the human brain has tremendously benefited from the population functional Magnetic Resonance Imaging (fMRI) studies in the last three decades. The reliability and replicability of the fMRI results, however, have been recently questioned, which has been...

Full description

Saved in:
Bibliographic Details
Published in:Frontiers in human neuroscience 2022-10, Vol.16, p.1021503-1021503
Main Authors: Wang, Meng-Yun, Korbmacher, Max, Eikeland, Rune, Specht, Karsten
Format: Article
Language:English
Subjects:
Brain mapping
Brain research
Cognitive ability
Datasets
deep neuroimaging
Functional magnetic resonance imaging
Holidays & special occasions
Human Neuroscience
Magnetic resonance imaging
Medical imaging
Metabolism
Metabolites
MRS
Neuroimaging
Neurosciences
Oxygen saturation
Physiology
precision brain mapping
reliability
Reproducibility
resting-state fMRI
Scanning
variability
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Our understanding of the cognitive functions of the human brain has tremendously benefited from the population functional Magnetic Resonance Imaging (fMRI) studies in the last three decades. The reliability and replicability of the fMRI results, however, have been recently questioned, which has been named the replication crisis. Sufficient statistical power is fundamental to alleviate the crisis, by either “going big,” leveraging big datasets, or by “going small,” densely scanning several participants. Here we reported a “going small” project implemented in our department, the Bergen breakfast scanning club (BBSC) project, in which three participants were intensively scanned across a year. It is expected this kind of new data collection method can provide novel insights into the variability of brain networks, facilitate research designs and inference, and ultimately lead to the improvement of the reliability of the fMRI results.
ISSN:1662-5161
1662-5161
DOI:10.3389/fnhum.2022.1021503