This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. In vivo MRI-derived measurements of human cerebral cortex thickness are providing novel insights into normal and abnormal neuroanatomy, but little is known about their reliability. The purpose of this work was to evaluate the reliability (precision) of an automated thickness measurement method both within and across scanner platforms and field strengths. We also evaluated the effects of different imaging acquisition protocols (including number of acquisitions and imaging sequences) and different data processing or post processing (smoothing of thickness map) schemes on thickness measurement reliability. Finally, we investigated the impact of scanner upgrade on thickness measurement reproducibility.
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