Jayachandra M. Raghava

A machine-learning framework for robust and reliable prediction of short- and long-term treatment response in initially antipsychotic-naïve schizophrenia patients based on multimodal neuropsychiatric data

Karen S. Ambrosen, Martin W. Skjerbæk, Jonathan Foldager et al. · Translational Psychiatry · 2020 · 55 citations · Full text

Computing, Data Science, Psychiatry +17

Frontal fasciculi and psychotic symptoms in antipsychotic-naive patients with schizophrenia before and after 6 weeks of selective dopamine D2/3 receptor blockade

Bjørn H. Ebdrup, Jayachandra M. Raghava, Mette Ødegaard Nielsen et al. · Journal of Psychiatry and Neuroscience · 2016 · 51 citations · Full text

Medicine, Neuroscience, Psychiatry +17

Hippocampal volume and memory impairment after electroconvulsive therapy in patients with depression

Krzysztof Gbyl, Mette Marie Støttrup, Jayachandra M. Raghava et al. · Acta Psychiatrica Scandinavica · 2020 · 48 citations

Medicine, Neuroscience, Psychiatry +17

Volume of hippocampal subregions and clinical improvement following electroconvulsive therapy in patients with depression

Krzysztof Gbyl, Egill Rostrup, Jayachandra M. Raghava et al. · Progress in Neuro-Psychopharmacology and Biological Psychiatry · 2020 · 43 citations

Medicine, Neuroscience, Psychiatry +13

Neuroanatomical heterogeneity and homogeneity in individuals at clinical high risk for psychosis

Helen Baldwin, Joaquim Raduà, Mathilde Antoniades et al. · Translational Psychiatry · 2022 · 41 citations · Full text

Medicine, Neuroscience, Psychiatry +14