Toward a global and reproducible science for brain imaging in neurotrauma: the ENIGMA adult moderate/severe traumatic brain injury working group
Olsen, Alexander; Babikian, Talin; Bigler, Erin D.; Caeyenberghs, Karen; Conde, Virginia; Dams-O’Connor, Kristen; Dobryakova, Ekaterina; Genova, Helen; Grafman, Jordan; Håberg, Asta; Heggland, Ingrid; Hellstrøm, Torgeir; Hodges, Cooper B.; Irimia, Andrei; Jha, Ruchira M.; Johnson, Paula K.; Koliatsos, Vassilis E.; Levin, Harvey; Li, Lucia M.; Lindsey, Hannah M.; Livny, Abigail; Løvstad, Marianne; Medaglia, John; Menon, David; Mondello, Stefania; Monti, Martin M.; Newcombe, Virginia F.J.; Petroni, Agustin; Ponsford, Jennie; Sharp, David; Spitz, Gershon; Westlye, Lars Tjelta; Thompson, Paul M.; Dennis, Emily L.; Tate, David; Wilde, Elisabeth A.; Hillary, Frank G.
Peer reviewed, Journal article
MetadataVis full innførsel
OriginalversjonBrain Imaging and Behavior. 2020, 1-29. 10.1007/s11682-020-00313-7
The global burden of mortality and morbidity caused by traumatic brain injury (TBI) is significant, and the heterogeneity of TBI patients and the relatively small sample sizes of most current neuroimaging studies is a major challenge for scientific advances and clinical translation. The ENIGMA (Enhancing NeuroImaging Genetics through Meta-Analysis) Adult moderate/severe TBI (AMS-TBI) working group aims to be a driving force for new discoveries in AMS-TBI by providing researchers world-wide with an effective framework and platform for large-scale cross-border collaboration and data sharing. Based on the principles of transparency, rigor, reproducibility and collaboration, we will facilitate the development and dissemination of multiscale and big data analysis pipelines for harmonized analyses in AMS-TBI using structural and functional neuroimaging in combination with non-imaging biomarkers, genetics, as well as clinical and behavioral measures. Ultimately, we will offer investigators an unprecedented opportunity to test important hypotheses about recovery and morbidity in AMS-TBI by taking advantage of our robust methods for large-scale neuroimaging data analysis. In this consensus statement we outline the working group’s short-term, intermediate, and long-term goals.