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The emergent properties of the connected brain
There is more to brain connections than the mere transfer of signals between brain regions.
Behavior and cognition emerge through cortical area interaction. This requires integration …
Behavior and cognition emerge through cortical area interaction. This requires integration …
Towards a biologically annotated brain connectome
The brain is a network of interleaved neural circuits. In modern connectomics, brain
connectivity is typically encoded as a network of nodes and edges, abstracting away the rich …
connectivity is typically encoded as a network of nodes and edges, abstracting away the rich …
Data leakage inflates prediction performance in connectome-based machine learning models
Predictive modeling is a central technique in neuroimaging to identify brain-behavior
relationships and test their generalizability to unseen data. However, data leakage …
relationships and test their generalizability to unseen data. However, data leakage …
Brain–phenotype models fail for individuals who defy sample stereotypes
Individual differences in brain functional organization track a range of traits, symptoms and
behaviours,,,,,,,,,,–. So far, work modelling linear brain–phenotype relationships has …
behaviours,,,,,,,,,,–. So far, work modelling linear brain–phenotype relationships has …
Psilocybin therapy increases cognitive and neural flexibility in patients with major depressive disorder
Psilocybin has shown promise for the treatment of mood disorders, which are often
accompanied by cognitive dysfunction including cognitive rigidity. Recent studies have …
accompanied by cognitive dysfunction including cognitive rigidity. Recent studies have …
Braingnn: Interpretable brain graph neural network for fmri analysis
Understanding which brain regions are related to a specific neurological disorder or
cognitive stimuli has been an important area of neuroimaging research. We propose …
cognitive stimuli has been an important area of neuroimaging research. We propose …
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 …