Change-point detection of cognitive states across multiple trials in functional neuroimaging
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- 作者：F. Spencer Koerner ; John R. Anderson ; Jon M. Fincham and Robert E. Kass
- 刊名：Statistics in Medicine
- 出版年：2017
- 出版时间：20 February 2017
- 年：2017
- 卷：36
- 期：4
- 页码：618-642
- 全文大小：2209K
- ISSN：1097-0258
文摘
Many functional neuroimaging-based studies involve repetitions of a task that may require several phases, or states, of mental activity. An appealing idea is to use relevant brain regions to identify the states. We developed a novel change-point methodology that adapts to the repeated trial structure of such experiments by assuming the number of states stays fixed across similar trials while allowing the timing of change-points to change across trials. Model fitting is based on reversible-jump MCMC. Simulation studies verified its ability to identify change-points successfully. We applied this technique to data collected via functional magnetic resonance imaging (fMRI) while each of 20 subjects solved unfamiliar arithmetic problems. Our methodology supplies both a summary of state dimensionality and uncertainty assessments about number of states and the timing of state transitions. Copyright