Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Most statistical analyses of fMRI data assume that the nature, timing and duration of the psychological processes being studied are known. Hover, in many areas of psychological inquiry, it is hard to specify this information a priori. Examples include studies of drug uptake, emotional states or experiments with a sustained stimulus.   assume that the timing of a subject's activation onset and duration are random variables drawn from unknown population distributions.  propose a technique for estimating these distributions assuming no functional form, and allowing for the possibility that some subjects may show no response.  illustrate how these distributions can be used to approximate the probability that a voxel/region is activated as a function of time. Further a procedure is discussed that uses a hidden Markov random field model to cluster voxels based on characteristics of their onset, duration, and anatomical location. These methods are applied to an fMRI study (n = 24) of state anxiety, and are ll suited for investigating individual differences in state-related changes in fMRI activity and other measures.
['Lucy F. Robinson', 'Tor D. Wager', 'Martin A. Lindquist']
I am writing a research paper on a idea Change point estimation in multi-subject fMRI studies
[{"from": "human", "value": "I am writing a research paper on a idea Change point estimation in multi-subject fMRI studies"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Most statistical analyses of fMRI data assume that the nature, timing and duration of the psychological processes being studied are known. Hover, in many areas of psychological inquiry, it is hard to specify this information a priori. Examples include studies of drug uptake, emotional states or experiments with a sustained stimulus.   assume that the timing of a subject's activation onset and duration are random variables drawn from unknown population distributions.  propose a technique for estimating these distributions assuming no functional form, and allowing for the possibility that some subjects may show no response.  illustrate how these distributions can be used to approximate the probability that a voxel/region is activated as a function of time. Further a procedure is discussed that uses a hidden Markov random field model to cluster voxels based on characteristics of their onset, duration, and anatomical location. These methods are applied to an fMRI study (n = 24) of state anxiety, and are ll suited for investigating individual differences in state-related changes in fMRI activity and other measures."}]