Transforming medical imaging with Transformers? A comparative review of key properties, current progresses, and future perspectives
Transformer, one of the latest technological advances of deep learning, has gained
prevalence in natural language processing or computer vision. Since medical imaging bear …
prevalence in natural language processing or computer vision. Since medical imaging bear …
A decade of test-retest reliability of functional connectivity: A systematic review and meta-analysis
Background Once considered mere noise, fMRI-based functional connectivity has become a
major neuroscience tool in part due to early studies demonstrating its reliability. These …
major neuroscience tool in part due to early studies demonstrating its reliability. These …
[HTML][HTML] Harmonization of large MRI datasets for the analysis of brain imaging patterns throughout the lifespan
As medical imaging enters its information era and presents rapidly increasing needs for big
data analytics, robust pooling and harmonization of imaging data across diverse cohorts …
data analytics, robust pooling and harmonization of imaging data across diverse cohorts …
[HTML][HTML] An evaluation of the efficacy, reliability, and sensitivity of motion correction strategies for resting-state functional MRI
Estimates of functional connectivity derived from resting-state functional magnetic resonance
imaging (rs-fMRI) are sensitive to artefacts caused by in-scanner head motion. This …
imaging (rs-fMRI) are sensitive to artefacts caused by in-scanner head motion. This …
Scanning the horizon: towards transparent and reproducible neuroimaging research
Functional neuroimaging techniques have transformed our ability to probe the
neurobiological basis of behaviour and are increasingly being applied by the wider …
neurobiological basis of behaviour and are increasingly being applied by the wider …
Spatial topography of individual-specific cortical networks predicts human cognition, personality, and emotion
Resting-state functional magnetic resonance imaging (rs-fMRI) offers the opportunity to
delineate individual-specific brain networks. A major question is whether individual-specific …
delineate individual-specific brain networks. A major question is whether individual-specific …
ENIGMA and global neuroscience: A decade of large-scale studies of the brain in health and disease across more than 40 countries
This review summarizes the last decade of work by the ENIGMA (E nhancing N euro I
maging G enetics through M eta A nalysis) Consortium, a global alliance of over 1400 …
maging G enetics through M eta A nalysis) Consortium, a global alliance of over 1400 …
[HTML][HTML] Benchmarking of participant-level confound regression strategies for the control of motion artifact in studies of functional connectivity
Since initial reports regarding the impact of motion artifact on measures of functional
connectivity, there has been a proliferation of participant-level confound regression methods …
connectivity, there has been a proliferation of participant-level confound regression methods …
[HTML][HTML] NeuroMark: An automated and adaptive ICA based pipeline to identify reproducible fMRI markers of brain disorders
Many mental illnesses share overlapping or similar clinical symptoms, confounding the
diagnosis. It is important to systematically characterize the degree to which unique and …
diagnosis. It is important to systematically characterize the degree to which unique and …
Mindboggling morphometry of human brains
Mindboggle (http://mindboggle. info) is an open source brain morphometry platform that
takes in preprocessed T1-weighted MRI data and outputs volume, surface, and tabular data …
takes in preprocessed T1-weighted MRI data and outputs volume, surface, and tabular data …