title: Task decomposition: a framework for comparing diverse training models in human brain plasticity studies.
abstract: Training studies, in which the structural or functional neurophysiology is compared before and after expertise is acquired, are increasingly being used as models for understanding the human brain's potential for reorganization. It is proving difficult to use these results to answer basic and important questions like how task training leads to both specific and general changes in behavior and how these changes correspond with modifications in the brain. The main culprit is the diversity of paradigms used as complex task models. An assortment of activities ranging from juggling to deciphering Morse code has been reported. Even when working in the same general domain, few researchers use similar training models. New ways to meaningfully compare complex tasks are needed. We propose a method for characterizing and deconstructing the task requirements of complex training paradigms, which is suitable for application to both structural and functional neuroimaging studies. We believe this approach will aid brain plasticity research by making it easier to compare training paradigms, identify "missing puzzle pieces," and encourage researchers to design training protocols to bridge these gaps.
authors.affiliation: Montreal Neurological Institute, McGill University Montreal, QC, Canada ; International Laboratory for Brain, Music and Sound Research, Université de Montreal Montreal, QC, Canada.
authors.forename: Emily B J
authors.initials: EB
authors.lastname: Coffey
authors.forename: Sibylle C
authors.initials: SC
authors.lastname: Herholz
keywords: MRI; expertise; multisensory learning; plasticity; training