[HTML][HTML] The adolescent brain cognitive development (ABCD) study: imaging acquisition across 21 sites
The ABCD study is recruiting and following the brain development and health of over 10,000
9–10 year olds through adolescence. The imaging component of the study was developed …
9–10 year olds through adolescence. The imaging component of the study was developed …
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 mapping approaches to multivariate predictive models …
using traditional univariate brain mapping approaches to multivariate predictive models …
How to establish robust brain–behavior relationships without thousands of individuals
MD Rosenberg, ES Finn - Nature Neuroscience, 2022 - nature.com
Can studying individual differences in brain structure and function reveal individual
differences in behavior? Analyses of MRI data from nearly 50,000 individuals may suggest …
differences in behavior? Analyses of MRI data from nearly 50,000 individuals may suggest …
[HTML][HTML] Ten simple rules for predictive modeling of individual differences in neuroimaging
Establishing brain-behavior associations that map brain organization to phenotypic
measures and generalize to novel individuals remains a challenge in neuroimaging …
measures and generalize to novel individuals remains a challenge in neuroimaging …
Exploration, inference, and prediction in neuroscience and biomedicine
D Bzdok, JPA Ioannidis - Trends in neurosciences, 2019 - cell.com
Recent decades have seen dramatic progress in brain research. These advances were
often buttressed by probing single variables to make circumscribed discoveries, typically …
often buttressed by probing single variables to make circumscribed discoveries, typically …
[HTML][HTML] Machine learning prediction of cognition from functional connectivity: Are feature weights reliable?
Cognitive performance can be predicted from an individual's functional brain connectivity
with modest accuracy using machine learning approaches. As yet, however, predictive …
with modest accuracy using machine learning approaches. As yet, however, predictive …
[HTML][HTML] Comparison of individualized behavioral predictions across anatomical, diffusion and functional connectivity MRI
A fundamental goal across the neurosciences is the characterization of relationships linking
brain anatomy, functioning, and behavior. Although various MRI modalities have been …
brain anatomy, functioning, and behavior. Although various MRI modalities have been …
[HTML][HTML] Combining multiple connectomes improves predictive modeling of phenotypic measures
Resting-state and task-based functional connectivity matrices, or connectomes, are powerful
predictors of individual differences in phenotypic measures. However, most of the current …
predictors of individual differences in phenotypic measures. However, most of the current …
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 …
[HTML][HTML] One size does not fit all: methodological considerations for brain-based predictive modeling in psychiatry
Psychiatric illnesses are heterogeneous in nature. No illness manifests in the same way
across individuals, and no two patients with a shared diagnosis exhibit identical symptom …
across individuals, and no two patients with a shared diagnosis exhibit identical symptom …