Browsing Artículos, Comunicaciones, Libros by Author "Radua, Joaquim"

Now showing items 1-3 of 3

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      Combining MRI and clinical data to detect high relapse risk after the first episode of psychosis. 

      Solanes Font, Aleix; Mezquida, Gisela; Janssen, Joost; Amoretti, Silvia; Lobo, Antonio; González Pinto Arrillaga, Ana María ORCID; Arango, Celso; Vieta, Eduard; Castro Fornieles, Josefina; Bergé, Daniel; Albacete, Auria; Giné, Eloi; Parellada, Mara; Bernardo, Miguel; PEPs Group; Pomarol Clotet, Edith; Radua, Joaquim (Nature, 2022)
      Detecting patients at high relapse risk after the first episode of psychosis (HRR-FEP) could help the clinician adjust the preventive treatment. To develop a tool to detect patients at HRR using their baseline clinical and ...
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      Examining the variability of neurocognitive functioning in individuals at clinical high risk for psychosis: a meta-analysis 

      Catalán Alcántara, Ana ORCID; Radua, Joaquim; McCutcheon, Robert; Aymerich, Claudia; Pedruzo, Borja; González Torres, Miguel Ángel ORCID; Baldwin, Helen; Stone, William S.; Giuliano, Anthony J.; McGuire, Philip; Fusar-Poli, Paolo (Springer, 2022-05-12)
      This study aims to meta-analytically characterize the presence and magnitude of within-group variability across neurocognitive functioning in young people at Clinical High-Risk for psychosis (CHR-P) and comparison groups. ...
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      Spherical Deconvolution of MultichannelDiffusion MRI Data with Non-Gaussian NoiseModels and Spatial Regularization 

      Canales Rodríguez, Erick Jorge; Daducci, Alessandro; Sotiropoulos, Stamatios N.; Caruyer, Emmanuel; Aja Fernández, Santiago; Radua, Joaquim; Yurramendi Mendizabal, Yosu; Iturria Medina, Yasser; Melie García, Lester; Alemán Gómez, Yasser; Thiran, Jean-Philippe; Sarró, Salvador; Pomarol-Clotet, Edith; Salvador, Raymond (Biomed Central, 2015-10-15)
      Spherical deconvolution (SD) methods are widely used to estimate the intra-voxel white-matter fiber orientations from diffusion MRI data. However, while some of these methods assume a zero-mean Gaussian distribution for ...