Neuroimaging biomarkers in schizophrenia
Schizophrenia is a complex neuropsychiatric syndrome with a heterogeneous genetic,
neurobiological, and phenotypic profile. Currently, no objective biological measures—that is …
neurobiological, and phenotypic profile. Currently, no objective biological measures—that is …
Making individual prognoses in psychiatry using neuroimaging and machine learning
Psychiatric prognosis is a difficult problem. Making a prognosis requires looking far into the
future, as opposed to making a diagnosis, which is concerned with the current state. During …
future, as opposed to making a diagnosis, which is concerned with the current state. During …
Prediction models of functional outcomes for individuals in the clinical high-risk state for psychosis or with recent-onset depression: a multimodal, multisite machine …
N Koutsouleris, L Kambeitz-Ilankovic… - JAMA …, 2018 - jamanetwork.com
Importance Social and occupational impairments contribute to the burden of psychosis and
depression. There is a need for risk stratification tools to inform personalized functional …
depression. There is a need for risk stratification tools to inform personalized functional …
An individualized risk calculator for research in prodromal psychosis
TD Cannon, C Yu, J Addington… - American Journal of …, 2016 - psychiatryonline.org
Objective: Approximately 20%–35% of individuals 12–35 years old who meet criteria for a
prodromal risk syndrome convert to psychosis within 2 years. However, this estimate ignores …
prodromal risk syndrome convert to psychosis within 2 years. However, this estimate ignores …
EPA guidance on the early detection of clinical high risk states of psychoses
The aim of this guidance paper of the European Psychiatric Association is to provide
evidence-based recommendations on the early detection of a clinical high risk (CHR) for …
evidence-based recommendations on the early detection of a clinical high risk (CHR) for …
EPA guidance on the early intervention in clinical high risk states of psychoses
SJ Schmidt, F Schultze-Lutter… - European …, 2015 - cambridge.org
This guidance paper from the European Psychiatric Association (EPA) aims to provide
evidence-based recommendations on early intervention in clinical high risk (CHR) states of …
evidence-based recommendations on early intervention in clinical high risk (CHR) states of …
At risk or not at risk? A meta‐analysis of the prognostic accuracy of psychometric interviews for psychosis prediction
An accurate detection of individuals at clinical high risk (CHR) for psychosis is a prerequisite
for effective preventive interventions. Several psychometric interviews are available, but their …
for effective preventive interventions. Several psychometric interviews are available, but their …
Multimodal machine learning workflows for prediction of psychosis in patients with clinical high-risk syndromes and recent-onset depression
Importance Diverse models have been developed to predict psychosis in patients with
clinical high-risk (CHR) states. Whether prediction can be improved by efficiently combining …
clinical high-risk (CHR) states. Whether prediction can be improved by efficiently combining …
Multisite prediction of 4-week and 52-week treatment outcomes in patients with first-episode psychosis: a machine learning approach
Background At present, no tools exist to estimate objectively the risk of poor treatment
outcomes in patients with first-episode psychosis. Such tools could improve treatment by …
outcomes in patients with first-episode psychosis. Such tools could improve treatment by …
Neuroimaging in schizophrenia
Psychotic disorders are mental illnesses characterized by difficulties in reality testing1.
Schizophrenia is a severe and chronic psychotic disorder with a life time prevalence of …
Schizophrenia is a severe and chronic psychotic disorder with a life time prevalence of …