6533b836fe1ef96bd12a14a2

RESEARCH PRODUCT

Correction: Widespread white matter microstructural abnormalities in bipolar disorder: evidence from mega- and meta-analyses across 3033 individuals

Marcus V. ZanettiSonya FoleyTomas HajekHeather C. WhalleyClara AllozaNeda JahanshadEdith Pomarol-clotetJonathan ReppleMircea PolosanUdo DannlowskiJess E. SussmannUnn K. HaukvikJosselin HouenouPhilip B. MitchellGeraldo F. BusattoHenk TemminghElisa M T MelloniChantal HenryNorma VerdoliniErick Jorge Canales-rodríguezJulia LinkeDan J. SteinKang SimPeter R. SchofieldStephen M. LawrieXavier CaserasTiffany M. Chaim-avanciniLisa T. EylerMartin AldaFrancesco BenedettiMichael DeppeHarald KugelFleur M. HowellsChristopher R.k. ChingSamuel SarrazinEdouard DuchesnayAndrew M. McintoshSilvia Alonso-lanaBernhard T. BauneJean-françois ManginChristoph AbéOle A. AndreassenMauricio H. SerpaMar Fatjó-vilasPauline FavreMelissa PaulingPedro G.p. RosaGloria RobertsMichèle WessaTrine Vik LagerbergMarion LeboyerRaymond SalvadorFranz HozerVieta EduardJacques StoutDominik GrotegerdSalvador SarróAnnerine RoosPaul M. Thompson

subject

PharmacologyAdultMaleBipolar DisorderCorrectionBrainDiagnostic markersBiologyTranslational researchmedicine.diseaseMega-White MatterCorpus CallosumWhite matterPsychiatry and Mental healthmedicine.anatomical_structureDiffusion Tensor ImagingNeural PathwaysmedicineHumansFemaleBipolar disorderClinical psychology

description

Fronto-limbic white matter (WM) abnormalities are assumed to lie at the heart of the pathophysiology of bipolar disorder (BD); however, diffusion tensor imaging (DTI) studies have reported heterogeneous results and it is not clear how the clinical heterogeneity is related to the observed differences. This study aimed to identify WM abnormalities that differentiate patients with BD from healthy controls (HC) in the largest DTI dataset of patients with BD to date, collected via the ENIGMA network. We gathered individual tensor-derived regional metrics from 26 cohorts leading to a sample size of N = 3033 (1482 BD and 1551 HC). Mean fractional anisotropy (FA) from 43 regions of interest (ROI) and average whole-brain FA were entered into univariate mega- and meta-analyses to differentiate patients with BD from HC. Mega-analysis revealed significantly lower FA in patients with BD compared with HC in 29 regions, with the highest effect sizes observed within the corpus callosum (R

yearjournalcountryeditionlanguage
2019-09-16Neuropsychopharmacology
10.1038/s41386-019-0521-6http://europepmc.org/articles/PMC6898690