While examining the neurodevelopmental and behavioral effects of substance use (SU) from early adolescence, the period of risk for SU, it is imperative that researchers use a multifactorial process to address the inherent crossover in the multiple modalities included in this study.

Due to the complex nature of this study and the data collection methods, we have designed and developed optimal longitudinal image processing and hypothesis testing pipelines that will facilitate the analysis of data collected at the various acquisition sites. This streamlined approach will result in a well-documented and comprehensive longitudinal analysis stream capable of processing thousands of neuroimaging datasets with greater sensitivity and reliability than ever before.

To further ensure the accuracy and validity of the collected data, our consortium has enacted the following three requirements:

1. All sites must perform MR scans on the recently released 3 Tesla Prisma platform.
2. Use of a fast (>60 fps) and highly accurate (<0.1mm and 0.1°) motion correction technology for all pulse sequences with an optical tracking system.
3. We will develop techniques and standards to import and interlink data and metadata from a variety of different modalities, support highly flexible search and browsing of collected data, and enable analysis and sharing of results.

Data integrity will be of paramount importance for PRISM. Multiple layers have been put in place to eliminate data corruption and ensure consistency in data collection. In addition, a six-level system for quality control will align procedures and methods at the various acquisition sites. All LONI Pipeline workflows will be openly shared with community as well as NITRC and other online informatics resources