[PDF][PDF] Functional neuroimaging in psychiatry and the case for failing better
Psychiatric disorders encompass complex aberrations of cognition and affect and are
among the most debilitating and poorly understood of any medical condition. Current …
among the most debilitating and poorly understood of any medical condition. Current …
The challenges and prospects of brain-based prediction of behaviour
Relating individual brain patterns to behaviour is fundamental in system neuroscience.
Recently, the predictive modelling approach has become increasingly popular, largely due …
Recently, the predictive modelling approach has become increasingly popular, largely due …
[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] Task fMRI paradigms may capture more behaviorally relevant information than resting-state functional connectivity
Characterizing the optimal fMRI paradigms for detecting behaviorally relevant functional
connectivity (FC) patterns is a critical step to furthering our knowledge of the neural basis of …
connectivity (FC) patterns is a critical step to furthering our knowledge of the neural basis of …
[HTML][HTML] Homotopic local-global parcellation of the human cerebral cortex from resting-state functional connectivity
Resting-state fMRI is commonly used to derive brain parcellations, which are widely used for
dimensionality reduction and interpreting human neuroscience studies. We previously …
dimensionality reduction and interpreting human neuroscience studies. We previously …
[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 …
Meta-matching as a simple framework to translate phenotypic predictive models from big to small data
We propose a simple framework—meta-matching—to translate predictive models from large-
scale datasets to new unseen non-brain-imaging phenotypes in small-scale studies. The …
scale datasets to new unseen non-brain-imaging phenotypes in small-scale studies. The …
[HTML][HTML] Proportional intracranial volume correction differentially biases behavioral predictions across neuroanatomical features, sexes, and development
Individual differences in brain anatomy can be used to predict variations in cognitive ability.
Most studies to date have focused on broad population-level trends, but the extent to which …
Most studies to date have focused on broad population-level trends, but the extent to which …
The prediction of brain activity from connectivity: advances and applications
M Bernstein-Eliav, I Tavor - The Neuroscientist, 2024 - journals.sagepub.com
The human brain is composed of multiple, discrete, functionally specialized regions that are
interconnected to form large-scale distributed networks. Using advanced brain-imaging …
interconnected to form large-scale distributed networks. Using advanced brain-imaging …
[HTML][HTML] Comparison between gradients and parcellations for functional connectivity prediction of behavior
Resting-state functional connectivity (RSFC) is widely used to predict behavioral measures.
To predict behavioral measures, representing RSFC with parcellations and gradients are the …
To predict behavioral measures, representing RSFC with parcellations and gradients are the …