Showing results (11-20 of 31) with videos related to

Sort By:
Pageof 4
Molecular Psychiatry|October 28, 2021
Cortical and subcortical neuroanatomical signatures of schizotypy in 3004 individuals assessed in a worldwide ENIGMA studyMatthias Kirschner, Benazir Hodzic-Santor, Mathilde Antoniades, et al.
Psychological Medicine|October 17, 2019
An overlapping pattern of cerebral cortical thinning is associated with both positive symptoms and aggression in schizophrenia via the ENIGMA consortiumTing Yat Wong, Joaquim Radua, Edith Pomarol-Clotet, et al.
Molecular Psychiatry|April 18, 2026
Multiscale characterization of cortical signatures in positive and negative schizotypy: a worldwide ENIGMA studyMatthias Kirschner, Benazir Hodzic-Santor, Leda Kennedy, et al.
Molecular Psychiatry|February 9, 2024
Using brain structural neuroimaging measures to predict psychosis onset for individuals at clinical high-riskYinghan Zhu, Norihide Maikusa, Joaquim Radua, et al.
Molecular Psychiatry|February 9, 2024
Connectome architecture shapes large-scale cortical alterations in schizophrenia: a worldwide ENIGMA studyFoivos Georgiadis, Sara Larivière, David Glahn, et al.
Medrxiv : the Preprint Server for Health Sciences|February 19, 2024
Structural brain abnormalities and aggressive behaviour in schizophrenia: Mega-analysis of data from 2095 patients and 2861 healthy controls via the ENIGMA consortiumJelle Lamsma, Adrian Raine, Seyed M Kia, et al.
Molecular Psychiatry|December 3, 2025
Structural brain abnormalities and aggression in schizophrenia: mega-analysis of data from 2095 patients and 2861 healthy controls via the ENIGMA consortiumJelle Lamsma, Adrian Raine, Seyed M Kia, et al.
Neuroimage|May 30, 2020
Increased power by harmonizing structural MRI site differences with the ComBat batch adjustment method in ENIGMAJoaquim Radua, Eduard Vieta, Russell Shinohara, et al.
Translational Psychiatry|July 26, 2022
Neuroanatomical heterogeneity and homogeneity in individuals at clinical high risk for psychosisHelen Baldwin, Joaquim Radua, Mathilde Antoniades, et al.
Machine Learning in Medical Imaging. MLMI (Workshop)|July 24, 2018
Machine Learning for Large-Scale Quality Control of 3D Shape Models in NeuroimagingDmitry Petrov, Boris A Gutman, Shih-Hua Julie Yu, et al.
Pageof 4