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Principal Investigator  
Principal Investigator's Name: SL ZHAO
Institution: IHEP
Department: Division of Nuclear Technology and Applications
Country:
Proposed Analysis: With the proliferation of multi-site neuroimaging studies, there is a greater need for handling non-biological variance introduced by differences in MRI scanners and acquisition protocols. Such unwanted sources of variation, which we refer to as “scanner effects”, can hinder the detection of imaging features associated with clinical covariates of interest and cause spurious findings. We investigate scanner effects in two large multisite studies on cortical thickness measurements across multi-scanners.
Additional Investigators  
Investigator's Name: Wei Zhang
Proposed Analysis: Interest has recently grown in multi-center studies, which have more power than smaller studies in conducting sophisticated evaluations ofbasic neuroanatomy and neurodegenerative disorders. The large number ofsubjects that result from pooling multi-center datasets increases sensitivity, but also introduces a between-center variance component. Taking sex differences as an example, we examined the effects of different ratios of cases to controls (males to females) between scanners in multi-scanner morphometric studies, using voxel-based morphometry and data obtained on two scanners of the exact same model.
Investigator's Name: Wei Zhang
Proposed Analysis: Interest has recently grown in multi-center studies, which have more power than smaller studies in conducting sophisticated evaluations ofbasic neuroanatomy and neurodegenerative disorders. The large number ofsubjects that result from pooling multi-center datasets increases sensitivity, but also introduces a between-center variance component. Taking sex differences as an example, we examined the effects of different ratios of cases to controls (males to females) between scanners in multi-scanner morphometric studies, using voxel-based morphometry and data obtained on two scanners of the exact same model.
Investigator's Name: Ge Zhang
Proposed Analysis: Interest has recently grown in multi-center studies, which have more power than smaller studies in conducting sophisticated evaluations ofbasic neuroanatomy and neurodegenerative disorders. The large number ofsubjects that result from pooling multi-center datasets increases sensitivity, but also introduces a between-center variance component. Taking sex differences as an example, we examined the effects of different ratios of cases to controls (males to females) between scanners in multi-scanner morphometric studies, using voxel-based morphometry and data obtained on two scanners of the exact same model.