Ashley will talk to us about scanning children, and about one of her specific research projects:

Using task demand to further illuminate group differences in the neural strategy to accomplish a task: do children and adults accomplish single word comprehension in different ways?
 
Relevant papers:

Church, Jessica A., Steven E. Petersen, and Bradley L. Schlaggar. "The “Task B problem” and other considerations in developmental functional neuroimaging." Human brain mapping 31.6 (2010): 852-862. http://onlinelibrary.wiley.com/doi/10.1002/hbm.21036/full

 
Krishnan, Saloni, et al. "Convergent and divergent fMRI responses in children and adults to increasing language production demands." Cerebral Cortex(2014): bhu120. 

http://cercor.oxfordjournals.org/content/25/10/3261

Practical whiteboard introduction to setting up a task-based fMRI study, including how to synchronize with the scanner using popular presentation programs such as EPrime or Psychtoolbox.

Head motion is problematic in task and resting state fMRI studies. Head motion during scans causes image intensity to reflect not only blood oxygenation but also frank motion-related artifact. It is a common practice to align the data throughout a scan by estimating the position of the head in space at each volume. Realignment is an essential part of data processing, but it cannot correct the signal alterations or image distortions that occur as a result of movement. Investigators have demonstrated the utility of a variety of methods for dealing with motion in general linear model (GLM) estimation. We will discuss motion-related artifact and some of the approaches developed to correct it in the context of this paper:

Siegel et al. (2014) Statistical improvements in functional magnetic resonance imaging analyses produced by censoring high-motion data points. Human Brain Mapping 35:1981-1996.