TY - JOUR
T1 - The MR neuroimaging protocol for the Accelerating Medicines Partnership® Schizophrenia Program
AU - Accelerating Medicines Partnership® Schizophrenia (AMP® SCZ)
AU - Harms, Michael P.
AU - Cho, Kang Ik K.
AU - Anticevic, Alan
AU - Bolo, Nicolas R.
AU - Bouix, Sylvain
AU - Campbell, Dylan
AU - Cannon, Tyrone D.
AU - Cecchi, Guillermo
AU - Goncalves, Mathias
AU - Haidar, Anastasia
AU - Hughes, Dylan E.
AU - Izyurov, Igor
AU - John, Omar
AU - Kapur, Tina
AU - Kim, Nicholas
AU - Kotler, Elana
AU - Kubicki, Marek
AU - Kuperman, Joshua M.
AU - Laulette, Kristen
AU - Lindberg, Ulrich
AU - Markiewicz, Christopher
AU - Ning, Lipeng
AU - Poldrack, Russell A.
AU - Rathi, Yogesh
AU - Romo, Paul A.
AU - Tamayo, Zailyn
AU - Wannan, Cassandra
AU - Wickham, Alana
AU - Yassin, Walid
AU - Zhou, Juan Helen
AU - Addington, Jean
AU - Alameda, Luis
AU - Arango, Celso
AU - Breitborde, Nicholas J.K.
AU - Broome, Matthew R.
AU - Cadenhead, Kristin S.
AU - Calkins, Monica E.
AU - Chen, Eric Yu Hai
AU - Choi, Jimmy
AU - Conus, Philippe
AU - Corcoran, Cheryl M.
AU - Cornblatt, Barbara A.
AU - Diaz-Caneja, Covadonga M.
AU - Ellman, Lauren M.
AU - Fusar-Poli, Paolo
AU - Gaspar, Pablo A.
AU - Gerber, Carla
AU - Glenthøj, Louise Birkedal
AU - Horton, Leslie E.
AU - Hui, Christy Lai Ming
AU - Kambeitz, Joseph
AU - Kambeitz-Ilankovic, Lana
AU - Keshavan, Matcheri S.
AU - Kim, Sung Wan
AU - Koutsouleris, Nikolaos
AU - Kwon, Jun Soo
AU - Langbein, Kerstin
AU - Mamah, Daniel
AU - Mathalon, Daniel H.
AU - Mittal, Vijay A.
AU - Nordentoft, Merete
AU - Pearlson, Godfrey D.
AU - Perez, Jesus
AU - Perkins, Diana O.
AU - Powers, Albert R.
AU - Rogers, Jack
AU - Sabb, Fred W.
AU - Schiffman, Jason
AU - Shah, Jai L.
AU - Silverstein, Steven M.
AU - Smesny, Stefan
AU - Stone, William S.
AU - Strauss, Gregory P.
AU - Thompson, Judy L.
AU - Upthegrove, Rachel
AU - Verma, Swapna K.
AU - Wang, Jijun
AU - Wolf, Daniel H.
AU - Kahn, Rene S.
AU - Kane, John M.
AU - McGorry, Patrick D.
AU - Nelson, Barnaby
AU - Woods, Scott W.
AU - Shenton, Martha E.
AU - Wood, Stephen J.
AU - Bearden, Carrie E.
AU - Pasternak, Ofer
N1 - Publisher Copyright:
© The Author(s) 2025.
PY - 2025/12
Y1 - 2025/12
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/105002114402
U2 - 10.1038/s41537-025-00581-6
DO - 10.1038/s41537-025-00581-6
M3 - Article
C2 - 40175382
AN - SCOPUS:105002114402
SN - 2334-265X
VL - 11
JO - npj Schizophrenia
JF - npj Schizophrenia
IS - 1
M1 - 52
ER -