Mental health and neuroimaging researcher
Leader of the IMARD group at
IDIBAPS, Barcelona 
Associate Professor of the
University of Barcelona
Honorary Postdoctoral Researcher at the
IoPPN, King's College London
Honorary Postdoctoral Researcher at the
Karolinska Institutet, Stockholm
Dr. Joaquim Radua
Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS)
Barcelona
Department of Medicine
University of Barcelona (UB)
Mental Health Networking Biomedical Research Centre (CIBERSAM)
King's College London
&
Karolinska Institutet (Stockholm)
Dr. Radua, leader of the Imaging of Mood, Anxiety and Related Disorders (IMARD) group at Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS, Barcelona) and associate professor of the degree in Medicine at the University of Barcelona , is a psychiatrist and statistician who earned his doctorate in biostatistics of brain imaging at the Institute of Psychiatry, Psychology & Neuroscience (IoPPN), King's College London.
He has led many multidisciplinary studies about mental disorders and analyzed many clinical and neuroimaging datasets; these usually worldwide collaborations have led to >300 publications in Pubmed-indexed journals and his inclusion in the Highly Cited Researchers List since 2017.
He has also developed several new meta-analytic and neuroimaging methods, among which SDM software must be highlighted as it has become a standard within the scientific community. His research also focuses on clinical prediction (e.g., recurrence risk) based on available clinical and biological data to pave the way for evidence-based personalized medicine in mental health.
At the academic level, he teaches and coordinates several postgraduate courses in psychiatry, statistics, and neuroimaging, is an associate editor of Neuroscience & Biobehavioral Reviews, Revista de Psiquiatria y Salud Mental, and other journals, and formerly held the presidency of the Spanish Neuroimaging Society .
He has mainly developed his work in London (IoPPN, King's College London, where he is an honorary researcher and keeps continued collaborations with Dr. Paolo Fusar-Poli), Stockholm (Karolinska Institutet, Sweeden, where he is also an honorary researcher and maintains continued collaborations with Prof. David Mataix-Cols), New Haven (Yale University, Connecticut, USA) and Barcelona (FIDMAG Research Foundation; and since 2018 IDIBAPS).
Contact Dr. Radua at radua at recerca dot clinic dot cat.
Please feel free to download and use the following software. References can be found below in "Publications".
:
a new meta-analytic method that allows an unbiased inclusion of studies with non-statistically significant unreported effects (NSUEs). Note that some published studies may not report any statistics (e.g., t- or p-values) from those findings that did not reach statistical significance. It can be shown that excluding these studies leads to strong positive biases, whereas considering these effects as null leads to negative biases. MetaNSUE uses maximum likelihood estimation and multiple imputation techniques to unbiasedly include these studies.:
a tool designed to facilitate the realization of umbrella reviews with evidence stratification. It automatically performs all calculations required to conduct umbrella reviews (including but not limited to meta-analyses), stratifies evidence according to various criteria, and generates visual representations of the results.:
The effects of the site may severely bias the accuracy of a multisite machine-learning model, even if the analysts removed them when fitting the model in the 'training set' and applying the model in the 'test set'. This simple R package estimates the accuracy of a multisite machine-learning model unbiasedly.:
a new meta-analytic method for voxel-based neuroimaging modalities such as functional magnetic resonance imaging (fMRI), positron emission tomography (PET), voxel-based morphometry (VBM) or diffusion tensor imaging (DTI), as well as its application for investigating a range of neuropsychiatric disorders. It also includes some utilities to perform simple standard meta-analyses (e.g., for global grey matter volume) and to conduct simple arithmetic or statistical operations with 3D images.:
function to estimate positron emission tomography (PET) neuroreceptor occupancies with different fitting methods.........................................................................................................................................................................................................................................................................................................................