The MR neuroimaging protocol for the Accelerating Medicines Partnership® Schizophrenia Program.
Harms MP., Cho K-IK., Anticevic A., Bolo NR., Bouix S., Campbell D., Cannon TD., Cecchi G., Goncalves M., Haidar A., Hughes DE., Izyurov I., John O., Kapur T., Kim N., Kotler E., Kubicki M., Kuperman JM., Laulette K., Lindberg U., Markiewicz C., Ning L., Poldrack RA., Rathi Y., Romo PA., Tamayo Z., Wannan C., Wickham A., Yassin W., Zhou JH., Addington J., Alameda L., Arango C., Breitborde NJK., Broome MR., Cadenhead KS., Calkins ME., Chen EYH., Choi J., Conus P., Corcoran CM., Cornblatt BA., Diaz-Caneja CM., Ellman LM., Fusar-Poli P., Gaspar PA., Gerber C., Glenthøj LB., Horton LE., Hui CLM., Kambeitz J., Kambeitz-Ilankovic L., Keshavan MS., Kim S-W., Koutsouleris N., Kwon JS., Langbein K., Mamah D., Mathalon DH., Mittal VA., Nordentoft M., Pearlson GD., Perez J., Perkins DO., Powers AR., Rogers J., Sabb FW., Schiffman J., Shah JL., Silverstein SM., Smesny S., Stone WS., Strauss GP., Thompson JL., Upthegrove R., Verma SK., Wang J., Wolf DH., Kahn RS., Kane JM., McGorry PD., Nelson B., Woods SW., Shenton ME., Wood SJ., Bearden CE., Accelerating Medicines Partnership® Schizophrenia (AMP® SCZ) None., Pasternak O.
Neuroimaging with MRI has been a frequent component of studies of individuals at clinical high risk (CHR) for developing psychosis, with goals of understanding potential brain regions and systems impacted in the CHR state and identifying prognostic or predictive biomarkers that can enhance our ability to forecast clinical outcomes. To date, most studies involving MRI in CHR are likely not sufficiently powered to generate robust and generalizable neuroimaging results. Here, we describe the prospective, advanced, and modern neuroimaging protocol that was implemented in a complex multi-site, multi-vendor environment, as part of the large-scale Accelerating Medicines Partnership® Schizophrenia Program (AMP® SCZ), including the rationale for various choices. This protocol includes T1- and T2-weighted structural scans, resting-state fMRI, and diffusion-weighted imaging collected at two time points, approximately 2 months apart. We also present preliminary variance component analyses of several measures, such as signal- and contrast-to-noise ratio (SNR/CNR) and spatial smoothness, to provide quantitative data on the relative percentages of participant, site, and platform (i.e., scanner model) variance. Site-related variance is generally small (typically <10%). For the SNR/CNR measures from the structural and fMRI scans, participant variance is the largest component (as desired; 40-76%). However, for SNR/CNR in the diffusion scans, there is substantial platform-related variance (>55%) due to differences in the diffusion imaging hardware capabilities of the different scanners. Also, spatial smoothness generally has a large platform-related variance due to inherent, difficult to control, differences between vendors in their acquisitions and reconstructions. These results illustrate some of the factors that will need to be considered in analyses of the AMP SCZ neuroimaging data, which will be the largest CHR cohort to date.Watch Dr. Harms discuss this article at https://vimeo.com/1059777228?share=copy#t=0 .