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Abstract #1161

A Novel Data Processing Method for Olfactory FMRI Examinations

Xiaoyu Sun1, Jianli Wang1, Christopher W. Weitekamp1, Qing X. Yang1,2

1Radiology, Penn State University College of Medcine, Hershey, PA, United States; 2Neurosurgery, Penn State University College of Medicine, Hershey, PA, United States

Here we present an olfactory fMRI data processing method that can significantly improve the data processing quality when the patients respiration pattern is not controlled and doesnt synchronize with olfactory stimulation paradigm. As an example of implementation we present an olfactory fMRI examination while the subjects respiration pattern is not regular. Our data demonstrates that it is critical to consider the subjects respiratory patterns modulation on the olfactory stimulation paradigm. The presented olfactory fMRI data processing method can be used for various applications. In addition to the example of real time respiration data, subjective response data (not provided here) can also be convolved with odor delivery data for more improved fMRI data processing. This experimental set-up will be useful in the olfactory fMRI study of neuropsychiatric and neurologic patients that are not cooperative or be able to follow the breathing instructions.