Methylphenidate Modulates Functional Network Connectivity to Enhance Attention.

ABSTRACT:

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Recent work has demonstrated that human whole-brain functional connectivity patterns measured with fMRI contain information about cognitive abilities, including sustained attention. To derive behavioral predictions from connectivity patterns, our group developed a connectome-based predictive modeling (CPM) approach (Finn et al., 2015; Rosenberg et al., 2016). Previously using CPM, we defined a high-attention network, comprising connections positively correlated with performance on a sustained attention task, and a low-attention network, comprising connections negatively correlated with performance. Validating the networks as generalizable biomarkers of attention, models based on network strength at rest predicted attention-deficit/hyperactivity disorder (ADHD) symptoms i

SUBMITTER: Rosenberg MD 

PROVIDER: S-EPMC5039242 | biostudies-literature | 2016 Sep

REPOSITORIES: biostudies-literature