… for developing predictive models of brain–behavior relationships from connectivity data
using … , (ii) feature summarization, (iii) model building and application, and (iv) assessment of …

… Connectome-based predictive modeling is an approach that predicts an outcome measure
from an unseen individual from their pattern of functional brain connectivity (see Ref. [93] for …

… We believe that applying machine-learning techniques to brain connectivity data, for
example, by following the scheme in Figure 1, has unique potential. Given the current appeal of …

… However, there is little consensus as to the exact nature of predictive information … models
believed to underlie the learning and deployment of predictive knowledge in a variety of brain …

… Three datasets were used in the current study to construct prediction models and estimate
model generalization performances. The three datasets include the HCP 1200 Subjects …

… To investigate whether Pearson's correlation, accordance, and discordance provide similar
measures of functional brain organization, we compared whole-brain connectivity patterns …

… To confirm that our predictive models captured FC variations specific to reading comprehension
ability independently of this contamination, we calculated the partial correction between …

… method, predictive modeling has its … predictive modeling to brain connectivity data. These
rules explain common issues aimed at both novice and experienced users of predictive models …

… functional connectivity from structural connectivity, explicitly, by utilizing a predictive model
… The combination of these techniques allowed the reduction of dimensionality and modeling …

… predictive model of BAI is specific for trait or state anxiety, we replicated the current predictive
model to … To conclude, we established a brain connectivity-based model that was able to …