Academic Articles & Research Papers

Determinants of Health-Related Quality of Life in Schizophrenia: Beyond the Medical Model

Background: Improving Quality of Life (QoL) in Schizophrenia is an important treatment objective in the shift toward person-centered and recovery-oriented care. Health-Related Quality of Life (HRQoL) is a focused aspect of QoL that is direc...

Improving the Sexual Wellbeing of Patients with Psychotic Illness

Introduction Sexual dysfunction (SD) is common in psychotic illness including schizophrenia, occurring in 30-82% of patients. It negatively impacts wellbeing and antipsychotic compliance, resulting in higher risk of relapse and hospitalisa...

Language as a biomarker for psychosis: A natural language processing approach

Predicting PANSS symptoms in schizophrenia spectrum disorders using speech only: an international, multi-centre, computational secondary analysis across multiple languages.

Pathways to schizophrenia: Divergent effects of childhood trauma and polygenic risk on cognition and subcortical dynamics.

Prevalence of frailty and associated factors among aging residents with chronic schizophrenia in Taiwanese psychiatric nursing home: a cross-sectional study.

Comparative Evaluation of Resting-State fMRI Representations for Schizophrenia Classification Using Deep Learning.

Visual Target P3b Amplitude Mediates the Relationship between Childhood Traumatic Experiences and Social Functioning in People at Clinical High Risk for Psychosis.

A new perspective on delusional states: Evidence for claustrum involvement

Delusions are a hallmark positive symptom of schizophrenia, although they are also associated with a wide variety of other psychiatric and neurological disorders. The heterogeneity of clinical presentation and underlying disease, along with...

An open dataset and machine learning algorithms for Niacin Skin-Flushing Response based screening of psychiatric disorders

Abstract Background Niacin Skin-Flushing Response (NSR) has emerged as a promising objective biomarker for the precise diagnosis of mental disorders. However, its diagnostic potential has been constrained by the limitations of traditional s...

Automated speech-fluency explanations for schizophrenia diagnosis

Abstract Schizophrenia is a chronic and severe mental disorder that still relies on time-intensive, clinician-administered assessments. Although several automated approaches have been proposed to support diagnosis, these systems often lack ...

Prediction of Drug Targets for Specific Diseases Leveraging Gene Perturbation Data: A Machine Learning Approach

Identification of the correct targets is a key element for successful drug development. However, there are limited approaches for predicting drug targets for specific diseases using omics data, and few have leveraged expression profiles fro...

Computer Vision-Based Assessment of Motor Functioning in Schizophrenia: Use of Smartphones for Remote Measurement of Schizophrenia Symptomatology

Introduction: Motor abnormalities have been shown to be a distinct component of schizophrenia symptomatology. However, objective and scalable methods for assessment of motor functioning in schizophrenia are lacking. Advancements in machine ...

Rethinking schizophrenia: Optimizing care pathways in Europe from the first episode of psychosis to long-term care.

Information leakage and performance overestimation in EEG-based schizophrenia detection: evidence from literature and empirical analyses.

Cost-effective, open-source, automated apparatus for testing transitive inference in mice

Abstract Transitive inference is a form of reasoning that relies on prior knowledge and benefits survival in diverse species. While initially designed for humans, the transitive inference task has been adapted for mice, allowing for integra...