UID: 76
This data package contains 3401 individual data files for 73 human subjects (28 adults aged 18-27, 35 adolescents aged 13-17, and 35 children aged 8-12) during correct and incorrect performance of an oculomotor task requiring inhibitory control.
From the abstract: Documenting the development of the functional anatomy underlying error processing is critically important for understanding age-related improvements in cognitive performance. Here we used functional magnetic resonance imaging to examine time courses of brain activity in 77 individuals aged 8–27 years during correct and incorrect performance of an oculomotor task requiring inhibitory control. Canonical eye-movement regions showed increased activity for correct versus error trials but no differences between children, adolescents and young adults, suggesting that core task processes are in place early in development. Anterior cingulate cortex (ACC) was a central focus. In rostral ACC all age groups showed significant deactivation during correct but not error trials, consistent with the proposal that such deactivation reflects suspension of a “default mode” necessary for effective controlled performance. In contrast, dorsal ACC showed increased and extended modulation for error versus correct trials in adults, which, in children and adolescents, was significantly attenuated. Further, younger age groups showed reduced activity in posterior attentional regions, relying instead on increased recruitment of regions within prefrontal cortex. This work suggests that functional changes in dorsal ACC associated with error regulation and error-feedback utilization, coupled with changes in the recruitment of “long-range” attentional networks, underlie age-related improvements in performance.
fMRI and task data Accession #: ds000119
3-Tesla MRI scanner
Open-source software for analysis of the cerebral and cerebellar cortex; no longer developed.
Software for displaying controlled stimuli.
fMRI trial analysis software.
Tool for extracting image quality metrics for quality assessment of MRI data.
Defacing tool for fMRI data.
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