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Schizophrenia (Heidelberg, Germany)|February 15, 2023
Investigation of social and cognitive predictors in non-transition ultra-high-risk' individuals for psychosis using spiking neural networksZohreh Doborjeh, Maryam Doborjeh, Alexander Sumich, et al.
Psychopharmacology|August 29, 2025
Investigating the relationship between gut microbiota and electrocortical signatures of feedback processing: an ERP studySabrina Lenzoni, Kirsty Hunter, Nadja Heym, et al.
Schizophrenia (Heidelberg, Germany)|October 4, 2024
A generalisability theory approach to quantifying changes in psychopathology among ultra-high-risk individuals for psychosisZohreh Doborjeh, Oleg N Medvedev, Maryam Doborjeh, et al.
Sensors (Basel, Switzerland)|December 29, 2020
Interpretability of Spatiotemporal Dynamics of the Brain Processes Followed by Mindfulness Intervention in a Brain-Inspired Spiking Neural Network ArchitectureZohreh Doborjeh, Maryam Doborjeh, Mark Crook-Rumsey, et al.
Asian Journal of Psychiatry|October 14, 2023
RNA-sequencing of peripheral whole blood of individuals at ultra-high-risk for psychosis - A longitudinal perspectiveSamuel Ming Xuan Tan, Jie Yin Yee, Sugam Budhraja, et al.
European Journal of Clinical Investigation|September 7, 2020
A novel way to quantify schizophrenia symptoms in clinical trialsOleg N Medvedev, Michael Berk, Olivia M Dean, et al.
Neural Networks : the Official Journal of the International Neural Network Society|October 7, 2021
Personalised predictive modelling with brain-inspired spiking neural networks of longitudinal MRI neuroimaging data and the case study of dementiaMaryam Doborjeh, Zohreh Doborjeh, Alexander Merkin, et al.
Brain Informatics|June 21, 2023
Enhancing biofeedback-driven self-guided virtual reality exposure therapy through arousal detection from multimodal data using machine learningMuhammad Arifur Rahman, David J Brown, Mufti Mahmud, et al.
Asian Journal of Psychiatry|November 7, 2025
Genetic signatures predict social-cognitive trajectories in ultra-high-risk psychosis: A 24-month longitudinal studyZohreh Doborjeh, Alexander Sumich, Oleg N Medvedev, et al.
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