A meta-analysis and systematic review of single vs. multimodal neuroimaging techniques in the classification of psychosis

A Porter, S Fei, KSF Damme, R Nusslock… - Molecular …, 2023 - nature.com
Background Psychotic disorders are characterized by structural and functional abnormalities
in brain networks. Neuroimaging techniques map and characterize such abnormalities using …

Machine learning and non-affective psychosis: identification, differential diagnosis, and treatment

M Ferrara, G Franchini, M Funaro, M Cutroni… - Current Psychiatry …, 2022 - Springer
Abstract Purpose of Review This review will cover the most relevant findings on the use of
machine learning (ML) techniques in the field of non-affective psychosis, by summarizing the …

Graph convolutional networks reveal network-level functional dysconnectivity in schizophrenia

D Lei, K Qin, WHL Pinaya, J Young… - Schizophrenia …, 2022 - academic.oup.com
Abstract Background and Hypothesis Schizophrenia is increasingly understood as a
disorder of brain dysconnectivity. Recently, graph-based approaches such as graph …

Metastability as a candidate neuromechanistic biomarker of schizophrenia pathology

F Hancock, FE Rosas, RA McCutcheon, J Cabral… - Plos one, 2023 - journals.plos.org
The disconnection hypothesis of schizophrenia proposes that symptoms of the disorder
arise as a result of aberrant functional integration between segregated areas of the brain …

Sexually divergent development of depression-related brain networks during healthy human adolescence

L Dorfschmidt, RA Bethlehem, J Seidlitz, F Váša… - Science …, 2022 - science.org
Sexual differences in human brain development could be relevant to sex differences in the
incidence of depression during adolescence. We tested for sex differences in parameters of …

Gender differences in professional adversities and mental health among surgical and nonsurgical medical trainees: an internet-based survey

A Fresán, D Guízar-Sánchez, M Yoldi-Negrete… - Journal of Surgical …, 2023 - Elsevier
Background Physicians in training face a variety of stressors throughout their professional
development and according to their gender. Among them, surgical trainees appear to be …

Multimodal graph coarsening for interpretable, MRI-based brain graph neural network

I Sebenius, A Campbell, SE Morgan… - 2021 IEEE 31st …, 2021 - ieeexplore.ieee.org
Graph neural networks (GNN s) are a powerful class of model for representation learning on
relational data and graph-structured signal, such as brain connectivity graphs derived from …

Connectome dysfunction in patients at clinical high risk for psychosis and modulation by oxytocin

C Davies, D Martins, O Dipasquale… - Molecular …, 2024 - nature.com
Abnormalities in functional brain networks (functional connectome) are increasingly
implicated in people at Clinical High Risk for Psychosis (CHR-P). Intranasal oxytocin, a …

The EEG multiverse of schizophrenia

D Gordillo, JR da Cruz, E Chkonia, WH Lin… - Cerebral …, 2023 - academic.oup.com
Research on schizophrenia typically focuses on one paradigm for which clear-cut
differences between patients and controls are established. Great efforts are made to …

A multidisciplinary approach to insanity assessment as a way to reduce cognitive biases

C Scarpazza, I Zampieri, A Miolla, G Melis… - Forensic science …, 2021 - Elsevier
Insanity assessment requires the evaluation of the psychopathological condition that
underlies the mens rea. Psychopathological evaluation may be quite challenging due to (i) …