M Deanna

TL;DR: Progress made during the first half of the Human Connectome Project project in refining the methods for data acquisition and analysis provides grounds for optimism that the HCP datasets and associated methods and software will become increasingly valuable resources for characterizing human brain connectivity and function, their relationship to behavior, and their heritability and genetic underpinnings.

TL;DR: Results confirm that this region shows activity during erroneous responses, but activity was also observed in the same region during correct responses under conditions of increased response competition, which suggests that the ACC detects conditions under which errors are likely to occur rather than errors themselves.

TL;DR: The MATRICS Consensus Cognitive Battery is expected to be the standard tool for assessing cognitive change in clinical trials of cognition-enhancing drugs for schizophrenia and may also aid evaluation of cognitive remediation strategies.

TL;DR: Support vector machine-based multivariate pattern analysis extracts sufficient information from fcMRI data to make accurate predictions about individuals’ brain maturity across development, and prediction of individual brain maturity as a functional connectivity maturation index is allowed.

TL;DR: The logic and rationale behind the development of the behavioral, individual difference, and tfMRI batteries are described and preliminary data on the patterns of activation associated with each of the fMRI tasks are provided, at both group and individual levels.