Reposted by Nadine ParkermedRxivpreprint @medrxivpreprint.bsky.social · 30/06/2026Multimodal evidence for a mechanistic model of working memory deficits in schizophrenia www.medrxiv.org/content/10.64898/20… 011
Reposted by Nadine ParkerPravesh Parekh @parekhpravesh.bsky.social · 14/06/2026Pleased to share that FEMA-Long is now published in PLOS Genetics! FEMA-Long, an efficient mixed-effects modeling method, includes modeling unstructured covariance, spline and spline interactions, and performing longitudinal GWAS to discover time-dependent genetic effects doi.org/10.1371/jour...doi.orgFEMA-Long: Modeling unstructured covariances for discovery of time-dependent effects in large-scale longitudinal datasetsAuthor summary Most large-scale datasets have complexities such as repeated measures, related individuals, or other dependencies across samples, preventing the use of standard regression approaches fo... 142
Reposted by Nadine ParkerTiril Gurholt, PhD 🦋 @tirilgurholt.bsky.social · 03/02/2026I am excited to share that the author version of our accepted manuscript, Linking obesity with white matter microstructure highlights the importance of brainstem tracts and sex differences, is available at Brain Communications! academic.oup.com/braincomms/a...academic.oup.comLinking obesity with white matter microstructure highlights the importance of brainstem tracts and sex differencesGurholt et al. report associations between obesity and regional white matter phenotypes across commonly used diffusion magnetic resonance imaging metrics, 144
Reposted by Nadine ParkerOlav Smeland @olavsmeland.bsky.social · 12/11/2025Excited to share our cross-disorder GWAS analysis of neurological and psychiatric disorders (~1 M cases), now out in @natneuro.nature.com! We show more extensive genetic pleiotropy than previously recognized, supporting a more unified view of these disorders rdcu.be/ePmwDrdcu.beA genome-wide analysis of the shared genetic risk architecture of complex neurological and psychiatric disordersNature Neuroscience - Smeland et al. demonstrate greater genetic overlap between neurological and psychiatric disorders than previously recognized, along with diverse neurobiological associations.... 11813
Reposted by Nadine ParkerDr. Claudia Barth @nifti12.bsky.social · 23/09/2025🚀 Job Opportunity! Are you passionate about neuroscience, women’s health, and large-scale neuroimaging studies? I am hiring a 3-year Postdoc to join the @erc.europa.eu project #MappingPerimenopause! karriere.charite.de/en/job-vacan...karriere.charite.dePostdoctoral Researcher (d/f/m) in Women’s Brain Health (Neuroimaging)full-time, part-time | 14.10.2025 | Campus Charité Mitte 02015
Reposted by Nadine ParkerPravesh Parekh @parekhpravesh.bsky.social · 16/05/2025Introducing FEMA-Long for high-dimensional large-scale mixed-effects modelling! Includes modelling unstructured covariance, non-linear effects using splines, time-dependent effects with spline interactions, and longitudinal GWAS with time-dependent genetic effects! www.biorxiv.org/content/10.1...biorxiv.orgFEMA-Long: Modeling unstructured covariances for discovery of time-dependent effects in large-scale longitudinal datasetsLinear mixed-effects (LME) models are commonly used for analyzing longitudinal data. However, most applications of LME models rely on random intercepts or simple, e.g., stationary, covariance. Here, w... 11310
Reposted by Nadine ParkerPsychiatric Genomics Consortium (PGC) @pgcgenetics.bsky.social · 23/01/2025New insight from the PGC #GWAS: Genetic differences in bipolar disorder vary across clinical, community-based, and self-report samples, mainly driven by different prevalences of bipolar subtypes (BDI vs. BDII). Data-gathering strategies matter. 🧬 go.nature.com/3PJhi3Wgo.nature.comGenomics yields biological and phenotypic insights into bipolar disorder - NatureUsing multi-ancestry genome-wide association study and fine-mapping, 298 loci and 36 credible genes are identified in the aetiology of bipolar disorder. 093
Reposted by Nadine ParkerNature [Unofficial] @nature.com.web.brid.gy · 23/01/2025nature.comGenomics yields biological and phenotypic insights into bipolar disorderNature, Published online: 22 January 2025; doi:10.1038/s41586-024-08468-9 Using multi-ancestry genome-wide association study and fine-mapping, 298 loci and 36 credible genes are identified in the aetiology of bipolar disorder. 041
Reposted by Nadine ParkerPiotr Jaholkowski @jaholkowskipiotr.bsky.social · 17/12/2024New paper alert! Our paper 'Charting the shared genetic architecture of Alzheimer's disease, cognition, and educational attainment, and associations with brain development' is out in Neurobiology of Disease! @SFFNORMENT www.sciencedirect.com/science/arti... 093
Reposted by Nadine ParkermedRxivpreprint @medrxivpreprint.bsky.social · 13/12/2024Deriving Mendelian Randomization-based Causal Networks of Brain Imaging Phenotypes and Bipolar Disorder www.medrxiv.org/content/10.1101/202… 011