The challenge of mapping the human connectome based on diffusion tractography.
Klaus H Maier-HeinPeter F NeherJean-Christophe HoudeMarc-Alexandre CôtéEleftherios GaryfallidisJidan ZhongMaxime ChamberlandFang-Cheng YehYing-Chia LinQing JiWilburn E ReddickJohn O GlassDavid Qixiang ChenYuanjing FengChengfeng GaoYe WuJieyan MaRenjie HeQiang LiCarl-Fredrik WestinSamuel Deslauriers-GauthierJ Omar Ocegueda GonzálezMichael PaquetteSamuel St-JeanGabriel GirardFrançois RheaultJasmeen SidhuChantal M W TaxFenghua GuoHamed Y MesriSzabolcs DavidMartijn FroelingAnneriet M HeemskerkAlexander LeemansArnaud BoréBasile PinsardChristophe BedettiMatthieu DesrosiersSimona BrambatiJulien DoyonAlessia SaricaRoberta VastaAntonio CerasaAldo QuattroneJason YeatmanAli R KhanWes HodgesSimon AlexanderDavid RomascanoMuhamed BarakovicAnna AuríaOscar EstebanAlia LemkaddemJean Philippe ThiranH Ertan CetingulBenjamin L OdryBoris MailheMariappan S NadarFabrizio PizzagalliGautam PrasadJulio E Villalon-ReinaJustin GalvisPaul M ThompsonFrancisco De Santiago RequejoPedro Luque LagunaLuis Miguel LacerdaRachel BarrettFlavio Dell'AcquaMarco CataniLaurent PetitEmmanuel CaruyerAlessandro DaducciTim B DyrbyTim Holland-LetzClaus C HilgetagBram StieltjesMaxime DescoteauxPublished in: Nature communications (2017)
Tractography based on non-invasive diffusion imaging is central to the study of human brain connectivity. To date, the approach has not been systematically validated in ground truth studies. Based on a simulated human brain data set with ground truth tracts, we organized an open international tractography challenge, which resulted in 96 distinct submissions from 20 research groups. Here, we report the encouraging finding that most state-of-the-art algorithms produce tractograms containing 90% of the ground truth bundles (to at least some extent). However, the same tractograms contain many more invalid than valid bundles, and half of these invalid bundles occur systematically across research groups. Taken together, our results demonstrate and confirm fundamental ambiguities inherent in tract reconstruction based on orientation information alone, which need to be considered when interpreting tractography and connectivity results. Our approach provides a novel framework for estimating reliability of tractography and encourages innovation to address its current limitations.