Mega-analysis methods in ENIGMA: The experience of the generalized anxiety disorder working group.
André ZugmanAnita HarrewijnElise M CardinaleHannah ZwiebelGabrielle F FreitagKaty E WerwathJanna Marie Bas-HoogendamNynke A GroenewoldMoji AghajaniKevin HilbertNarcis CardonerDaniel Porta-CasteràsSavannah GosnellRamiro SalasKarina S BlairJames R BlairMira Z HammoudMohammed MiladKatie BurkhouseK Luan PhanHeidi K SchroederJeffrey R StrawnKatja Beesdo-BaumSophia I ThomopoulosHans J GrabeSandra Van der AuweraKatharina WittfeldJared A NielsenRandy BucknerJordan W SmollerBenson MwangiJair C SoaresMon-Ju WuGiovana B Zunta-SoaresAndrea P JackowskiPedro M PanGiovanni A SalumMichal AssafGretchen J DiefenbachPaolo BrambillaEleonora MaggioniDavid HofmannThomas StraubeCarmen AndreescuRachel BertaErica TamburoRebecca PriceGisele G ManfroHugo D CritchleyElena MakovacMatteo ManciniFrances MeetenCristina OttavianiFederica AgostaElisa CanuCamilla CividiniMassimo FilippiMilutin KostićAna MunjizaCourtney A FilippiEllen LeibenluftBianca A V AlbertonNicholas L BalderstonMonique ErnstChristian GrillonLilianne R Mujica-ParodiHelena van NieuwenhuizenGregory A FonzoMartin P PaulusMurray B SteinRaquel E GurRuben C GurAntonia N KaczkurkinBart LarsenTheodore D SatterthwaiteJennifer HarperMichael MyersMichael T PerinoQiongru YuChad M SylvesterDick J VeltmanUlrike LuekenNic J A Van der WeeDan J SteinNeda JahanshadPaul M ThompsonDaniel S PineAnderson M WinklerPublished in: Human brain mapping (2020)
The ENIGMA group on Generalized Anxiety Disorder (ENIGMA-Anxiety/GAD) is part of a broader effort to investigate anxiety disorders using imaging and genetic data across multiple sites worldwide. The group is actively conducting a mega-analysis of a large number of brain structural scans. In this process, the group was confronted with many methodological challenges related to study planning and implementation, between-country transfer of subject-level data, quality control of a considerable amount of imaging data, and choices related to statistical methods and efficient use of resources. This report summarizes the background information and rationale for the various methodological decisions, as well as the approach taken to implement them. The goal is to document the approach and help guide other research groups working with large brain imaging data sets as they develop their own analytic pipelines for mega-analyses.
Keyphrases
- electronic health record
- high resolution
- big data
- quality control
- white matter
- primary care
- healthcare
- resting state
- clinical trial
- magnetic resonance imaging
- gene expression
- computed tomography
- magnetic resonance
- data analysis
- genome wide
- quality improvement
- cerebral ischemia
- functional connectivity
- sleep quality
- brain injury
- blood brain barrier
- subarachnoid hemorrhage