Bridging Big Data: Procedures for Combining Non-equivalent Cognitive Measures from the ENIGMA Consortium.
Eamonn KennedyShashank VadlamaniHannah M LindseyPui-Wa LeiMary Jo-PughMaheen M AdamsonMartin AldaSilvia Alonso-LanaSonia AmbrogiTim J AndersonCelso ArangoRobert F AsarnowMihai AvramRosa Ayesa-ArriolaTalin BabikianNerisa BanajLaura J BirdStefan BorgwardtAmy BrodtmannKatharina BroschKaren CaeyenberghsVince D CalhounNancy D ChiaravallotiDavid X CifuBenedicto Crespo-FacorroJohn C Dalrymple-AlfordKristen Dams-O'ConnorUdo DannlowskiDavid DarbyNicholas DavenportJohn DeLucaCovadonga M Diaz-CanejaSeth G DisnerEkaterina DobryakovaStefan EhrlichCarrie EsopenkoFabio FerrarelliLea E FrankCarol E FranzPaola Fuentes-ClaramonteHelen M GenovaChristopher C GizaJanik GoltermannDominik GrotegerdMarius GruberAlfonso Gutiérrez-ZotesMinji HaJan HaavikCharles HinkinKristen R HoskinsonDaniela HublAndrei IrimiaAndreas JansenMichael KaessXiaojian KangKimbra KenneyBarbora KeřkováMohamed Salah KhlifMinah KimJochen KindlerTilo T J KircherKarolina KnížkováKnut K KolskårDenise KrchWilliam S KremenTaylor P KuhnVeena KumariJun-Soo KwonRoberto LangellaSarah LaskowitzJungha LeeJean LengenfelderSpencer W LiebelVictoria Liou-JohnsonSara M LippaMarianne LøvstadAstri LundervoldCassandra MarottaCraig A MarquardtPaulo E MattosAhmad MayeliCarrie R McDonaldSusanne MeinertTracy R MelzerJessica Merchán-NaranjoChantal MichelRajendra A MoreyBenson MwangiDaniel J MyallIgor NenadićChristopher G WatsonAbraham NunesTerence J O'BrienViola OertelJohn OllingerAlexander OlsenVictor Ortiz García de la FozMustafa OzmenHeath R PardoeMarise ParentGianfranco SpallettaFederica PirasEdith Pomarol-ClotetJonathan ReppleGenevieve RichardJonathan RodriguezMabel RodriguezKelly Rootes-MurdyJared RowlandNicholas P RyanRaymond SalvadorAnne-Marthe SandersAndre SchmidtJair C SoaresGianfranco SpallettaFilip ŠpanielAlena StasenkoFrederike SteinBenjamin StraubeApril ThamesFlorian Thomas-OdenthalSophia I ThomopoulosErin B ToneIvan J TorresMaya TroyanskayaJessica A TurnerKristine M UlrichsenGuillermo UmpierrezElisabet VilellaLucy VivashWilliam C WalkerEmilio WerdenLars Tjelta WestlyeKrista WildAdrian WroblewskiMon-Ju WuGlenn R WylieLakshmi N YathamGiovana B Zunta-SoaresPaul M ThompsonDavid F TateFrank G HillaryEmily Larson DennisElisabeth A WildePublished in: bioRxiv : the preprint server for biology (2023)
Data sharing can increase the quality and rigor of scientific claims, but with large scale data sharing comes an increased need to combine non-equivalent measurements across studies. Auditory verbal learning tasks (AVLTs) are one of the most common research and clinical tools to evaluate memory constructs, but numerous distinct AVLTs are in common use, which creates challenges for data aggregation. We report methods to convert raw scores across common verbal learning instruments, constructed using harmonizing data from 53 studies from around the world. This approach can be replicated in other domains to address long standing data compatibility issues for researchers and clinicians.