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 …
Neuroimaging-based individualized prediction of cognition and behavior for mental disorders and health: methods and promises
The neuroimaging community has witnessed a paradigm shift in biomarker discovery from
using traditional univariate brain map** approaches to multivariate predictive models …
using traditional univariate brain map** approaches to multivariate predictive models …
[HTML][HTML] Deep neural networks and kernel regression achieve comparable accuracies for functional connectivity prediction of behavior and demographics
There is significant interest in the development and application of deep neural networks
(DNNs) to neuroimaging data. A growing literature suggests that DNNs outperform their …
(DNNs) to neuroimaging data. A growing literature suggests that DNNs outperform their …
Machine learning with neuroimaging: evaluating its applications in psychiatry
Psychiatric disorders are complex, involving heterogeneous symptomatology and
neurobiology that rarely involves the disruption of single, isolated brain structures. In an …
neurobiology that rarely involves the disruption of single, isolated brain structures. In an …
Moving beyond processing-and analysis-related variation in resting-state functional brain imaging
When fields lack consensus standard methods and accessible ground truths, reproducibility
can be more of an ideal than a reality. Such has been the case for functional neuroimaging …
can be more of an ideal than a reality. Such has been the case for functional neuroimaging …
[HTML][HTML] Person-specific and precision neuroimaging: Current methods and future directions
Most neuroimaging studies of brain function analyze data in normalized space to identify
regions of common activation across participants. These studies treat interindividual …
regions of common activation across participants. These studies treat interindividual …
[HTML][HTML] Effect sizes and test-retest reliability of the fMRI-based neurologic pain signature
Identifying biomarkers that predict mental states with large effect sizes and high test-retest
reliability is a growing priority for fMRI research. We examined a well-established …
reliability is a growing priority for fMRI research. We examined a well-established …
Generalizability and out-of-sample predictive ability of associations between neuromelanin-sensitive magnetic resonance imaging and psychosis in antipsychotic-free …
Importance The link between psychosis and dopaminergic dysfunction is established, but no
generalizable biomarkers with clear potential for clinical adoption exist. Objective To …
generalizable biomarkers with clear potential for clinical adoption exist. Objective To …
A brain-based general measure of attention
Attention is central to many aspects of cognition, but there is no singular neural measure of a
person's overall attentional functioning across tasks. Here, using original data from 92 …
person's overall attentional functioning across tasks. Here, using original data from 92 …
Test–retest reliability and predictive utility of a macroscale principal functional connectivity gradient
Map** individual differences in brain function has been hampered by poor reliability as
well as limited interpretability. Leveraging patterns of brain‐wide functional connectivity (FC) …
well as limited interpretability. Leveraging patterns of brain‐wide functional connectivity (FC) …