Journal article

Partial-volume modeling reveals reduced gray matter in specific thalamic nuclei early in the time course of psychosis and chronic schizophrenia

Y Alemán-Gómez, E Najdenovska, T Roine, MJ Fartaria, EJ Canales-Rodríguez, Z Rovó, P Hagmann, P Conus, KQ Do, P Klauser, P Steullet, PS Baumann, M Bach Cuadra

Human Brain Mapping | WILEY | Published : 2020

Abstract

The structural complexity of the thalamus, due to its mixed composition of gray and white matter, make it challenging to disjoint and quantify each tissue contribution to the thalamic anatomy. This work promotes the use of partial-volume-based over probabilistic-based tissue segmentation approaches to better capture thalamic gray matter differences between patients at different stages of psychosis (early and chronic) and healthy controls. The study was performed on a cohort of 23 patients with schizophrenia, 41 with early psychosis and 69 age and sex-matched healthy subjects. Six tissue segmentation approaches were employed to obtain the gray matter concentration/probability images. The stat..

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University of Melbourne Researchers

Grants

Awarded by Université de Lausanne


Funding Acknowledgements

The work is supported by interdisciplinary fund of the Faculty of Biology and Medicine of the Lausanne University, the Centre d'Imagerie BioMedicale (CIBM) of the University of Lausanne (UNIL), the Swiss Federal Institute of Technology Lausanne (EPFL), the University of Geneva (UniGe), the Centre Hospitalier Universitaire Vaudois (CHUV), the Hopitaux Universitaires de Geneve (HUG), and the Leenaards and Jeantet Foundations. This work is also supported by the National Center of Competence in Research (NCCR) SYNAPSY The Synaptic Bases of Mental Diseases financed by the Swiss National Science Foundation (51AU40-125759). EN is supported by the Swiss National Science Foundation (205321-157040). YA and TR were also supported by SNF grant (310030-156874). TR also received support from the Finnish Cultural Foundation, Technology Industries Centennial Foundation, and Automation Foundation, Finland.