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 …
Functional connectomics in depression: insights into therapies
Depression is a common mental disorder characterized by heterogeneous cognitive and
behavioral symptoms. The emerging research paradigm of functional connectomics has …
behavioral symptoms. The emerging research paradigm of functional connectomics has …
[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 …
The burden of reliability: How measurement noise limits brain-behaviour predictions
Current major efforts in human neuroimaging research aim to understand individual
differences and identify biomarkers for clinical applications. One particularly promising …
differences and identify biomarkers for clinical applications. One particularly promising …
[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 …
[HTML][HTML] Relationship between prediction accuracy and feature importance reliability: An empirical and theoretical study
There is significant interest in using neuroimaging data to predict behavior. The predictive
models are often interpreted by the computation of feature importance, which quantifies the …
models are often interpreted by the computation of feature importance, which quantifies the …
[HTML][HTML] A meta-analysis and systematic review of single vs. multimodal neuroimaging techniques in the classification of psychosis
Background Psychotic disorders are characterized by structural and functional abnormalities
in brain networks. Neuroimaging techniques map and characterize such abnormalities using …
in brain networks. Neuroimaging techniques map and characterize such abnormalities using …
[HTML][HTML] Poverty, Brain Development, and Mental Health: Progress, Challenges, and Paths Forward
Poverty is associated with changes in brain development and elevates the risk for
psychopathology in childhood, adolescence, and adulthood. Although the field is rapidly …
psychopathology in childhood, adolescence, and adulthood. Although the field is rapidly …
[HTML][HTML] Brain-based predictions of psychiatric illness–linked behaviors across the sexes
Background Individual differences in functional brain connectivity can be used to predict
both the presence of psychiatric illness and variability in associated behaviors. However …
both the presence of psychiatric illness and variability in associated behaviors. However …
Is resting state fMRI better than individual characteristics at predicting cognition?
Abstract Changes in spontaneous brain activity at rest provide rich information about
behavior and cognition. The mathematical properties of resting-state functional magnetic …
behavior and cognition. The mathematical properties of resting-state functional magnetic …