Schizophrenia

Annotating Temporal Relations to Determine the Onset of Psychosis Symptoms.

For patients with a diagnosis of schizophrenia, determining symptom onset is crucial for timely and ...

EEG Signals Classification Using Machine Learning for The Identification and Diagnosis of Schizophrenia.

This paper presents the design of a machine learning-based classifier for the differentiation betwee...

A Social Media Study on the Effects of Psychiatric Medication Use.

Understanding the effects of psychiatric medications during mental health treatment constitutes an a...

Recurrent Neural Networks in Mobile Sampling and Intervention.

The rapid rise and now widespread distribution of handheld and wearable devices, such as smartphones...

Brain Age in Early Stages of Bipolar Disorders or Schizophrenia.

BACKGROUND: The greater presence of neurodevelopmental antecedants may differentiate schizophrenia f...

Use of Machine Learning to Determine Deviance in Neuroanatomical Maturity Associated With Future Psychosis in Youths at Clinically High Risk.

IMPORTANCE: Altered neurodevelopmental trajectories are thought to reflect heterogeneity in the path...

Will Machine Learning Enable Us to Finally Cut the Gordian Knot of Schizophrenia.

Multivariate Pattern Analysis of Genotype-Phenotype Relationships in Schizophrenia.

Genetic risk variants for schizophrenia have been linked to many related clinical and biological phe...

Brain Subtyping Enhances The Neuroanatomical Discrimination of Schizophrenia.

Identifying distinctive subtypes of schizophrenia could ultimately enhance diagnostic and prognostic...

Disease Definition for Schizophrenia by Functional Connectivity Using Radiomics Strategy.

Specific biomarker reflecting neurobiological substrates of schizophrenia (SZ) is required for its d...

Multisite Machine Learning Analysis Provides a Robust Structural Imaging Signature of Schizophrenia Detectable Across Diverse Patient Populations and Within Individuals.

Past work on relatively small, single-site studies using regional volumetry, and more recently machi...

Predicting Response to Repetitive Transcranial Magnetic Stimulation in Patients With Schizophrenia Using Structural Magnetic Resonance Imaging: A Multisite Machine Learning Analysis.

BACKGROUND: The variability of responses to plasticity-inducing repetitive transcranial magnetic sti...

Differences Between Schizophrenic and Normal Subjects Using Network Properties from fMRI.

Schizophrenia has been proposed to result from impairment of functional connectivity. We aimed to us...

A New Machine Learning Framework for Understanding the Link Between Cannabis Use and First-Episode Psychosis.

Lately, several studies started to investigate the existence of links between cannabis use and psych...

Threshold of Dopamine D2/3 Receptor Occupancy for Hyperprolactinemia in Older Patients With Schizophrenia.

OBJECTIVE: Although hyperprolactinemia carries a long-term risk of morbidity, the threshold of dopam...

A pet-type robot Artificial Intelligence Robot-assisted therapy for a patient with schizophrenia.

Discriminative analysis of schizophrenia using support vector machine and recursive feature elimination on structural MRI images.

Structural abnormalities in schizophrenia (SZ) patients have been well documented with structural ma...

Classifying Schizophrenia Using Multimodal Multivariate Pattern Recognition Analysis: Evaluating the Impact of Individual Clinical Profiles on the Neurodiagnostic Performance.

Previous studies have shown that structural brain changes are among the best-studied candidate marke...

Effectiveness of Vitamin D Supplement Therapy in Chronic Stable Schizophrenic Male Patients: A Randomized Controlled Trial.

In this study, the aim was to determine whether adding vitamin D to the standard therapeutic regimen...

Clinical prediction from structural brain MRI scans: a large-scale empirical study.

Multivariate pattern analysis (MVPA) methods have become an important tool in neuroimaging, revealin...