Schizophrenia

Schizophrenia is a chronic debilitating disorder which affects more than two million Americans, and millions more worldwide. While significant progress has been made in understanding the disease and developing treatments, there remains a significant unmet medical need. More than 50% of patients switch their medication in a given year due to either poor response or the experience of adverse events.

Schizophrenia

Schizophrenia is a chronic mental health disorder that causes people to think, feel and perceive the world differently to the general population. It is characterized by episodes of psychosis, usually with hallucinations or delusions.

Schizophrenia Diagnosis

Schizophrenia Causes

Schizophrenia Signs and Symptoms

Schizophrenia Neural Processes

Schizophrenia Mechanisms

Schizophrenia Screening, Prevention and Management

Schizophrenia Medication

Schizophrenia Interventions

Schizophrenia Prognosis

Latest Schizophrenia News and Research

New insights into human genetics

Who are we? Where did we come from? How did we get here? Throughout the ages, humans have sought answers to these questions, pursuing wisdom through religion, philosophy, and eventually science.

19 Sep 2020

Study: Elevated adverse mental health conditions are associated with COVID-19

Social isolation. Financial worries. They're two unfortunate realities causing great anxiety for many people during the COVID-19 pandemic. They also may raise the risk of death by suicide.

17 Sep 2020

Researchers reveal neurons responsible for guiding adaptive behavior

Humans, like other animals, have the ability to constantly adapt to new situations. Researchers at the Brain Research Institute of the University of Zurich have utilized a mouse model to reveal which neurons in the brain are in command in guiding adaptive behavior.

16 Sep 2020

Researchers develop protein-based biosensor for multiplex imaging of neurotransmitter

In 2018, Lin Tian and her team at UC Davis Health developed dLight1, a single fluorescent protein-based biosensor. This family of highly specific sensors detects dopamine, a hormone released by neurons to send signals to other nerve cells.

16 Sep 2020

Digital phenotyping and machine learning can help assess severe mental illness

Digital phenotyping approaches that collect and analyze Smartphone-user data on locations, activities, and even feelings - combined with machine learning to recognize patterns and make predictions from the data - have emerged as promising tools for monitoring patients with psychosis spectrum illnesses, according to a report in the September/October issue of Harvard Review of Psychiatry

16 Sep 2020

Doctors develop new data mining method to detect young people with emerging psychosis

Doctors have developed a new data mining method to detect many young people with emerging psychosis.

14 Sep 2020

Electroconvulsive therapy can reduce suicide risk by 84% in bipolar patients

One of the largest ever studies of patients with untreatable bipolar disorder has shown that ECT (Electroconvulsive Therapy) was able to reduce suicide risk by 84% in high-risk patients, as well as giving effective treatment to around 72% of sufferers.

12 Sep 2020

New study can advance scientific understanding of the function of astrocytes

New research from Oregon Health & Science University for the first time documents the presence of astrocytes in zebrafish, a milestone that will open new avenues of research into a star-shaped type of glial cell in the brain that is critical for nearly every aspect of brain assembly and function.

9 Sep 2020

UIC receives grant to better prepare doctors to treat substance use, mental health conditions

The University of Illinois Chicago has received a $2.5 million grant to better prepare primary care physicians to treat substance use disorders and mental health conditions in rural and urban underserved populations.

2 Sep 2020

Study shows link between lipid metabolism and onset of psychosis

Changes in blood lipids give an early warning for the development of psychosis in individuals who are at risk. Weight gain displays the same connection. This is shown in a new study at örebro University.

2 Sep 2020

Misfiring brain cells may create swallowing difficulties in children with neurodevelopmental disorders

Misfiring brain cells that control key parts of the mouth and tongue may be creating swallowing difficulties in children with neurodevelopmental disorders, according to neuroscientists with Virginia Tech and George Washington University.

2 Sep 2020

Brain protein associated with seizures and abnormal social behaviors

A team led by a biomedical scientist at the University of California, Riverside has found a new mechanism responsible for the abnormal development of neuronal connections in the mouse brain that leads to seizures and abnormal social behaviors.

31 Aug 2020

Using deep learning to study how mental disorders affect the brain

Georgia State University researchers are working to harness deep learning and artificial intelligence to learn more about how mental illness and other disorders affect the brain.

28 Aug 2020

Blood test can help predict who is likely to develop psychotic disorders

Scientists have discovered that testing the levels of certain proteins in blood samples can predict whether a person at risk of psychosis is likely to develop a psychotic disorder years later.

26 Aug 2020

Neurophysiologists reversibly disable a connection between two brain areas of primates

For the first time ever, neurophysiologists of KU Leuven, Harvard and the University of Kyoto have succeeded in reversibly disabling a connection between two areas in the brains of primates while they were performing cognitive tasks, or while their entire brain activity was being monitored.

25 Aug 2020

Researchers identify genetic risk factors that increase risk of bipolar disorder in people with depression

In a new study from the Danish psychiatry project iPSYCH, researchers have identified genetic risk factors for developing bipolar disorder and psychoses among people with depression.

25 Aug 2020

Wide personality traits and attributes can be predicted from social media information

Principle Investigator HARUNO Masahiko and Dr. MORI Kazuma at the Center for Information and Neural Networks, the National Institute of Information and Communications Technology (NICT, President: TOKUDA Hideyuki, Ph.D.), report the use of machine learning to analyze behavior on Twitter and predict a wide range of personality traits and attributes such as intelligence and extraversion.

24 Aug 2020

New insights into how the brain's internal states influence decision-making

Biomedical Engineering's Matthew Smith and Byron Yu, along with former Ph.D. student Ben Cowley (School of Computer Science '18), have studied the neural basis through which internal states in the brain affect decision-making over an extended period of time.

17 Aug 2020

Combining machine learning with brain imaging tools can redefine the standard for diagnosing mental illnesses

Most of modern medicine has physical tests or objective techniques to define much of what ails us. Yet, there is currently no blood or genetic test, or impartial procedure that can definitively diagnose a mental illness, and certainly none to distinguish between different psychiatric disorders with similar symptoms.

17 Aug 2020

Highly sensitive dopamine detector can aid in early diagnosis of several disorders

A supersensitive dopamine detector can help in the early diagnosis of several disorders that result in too much or too little dopamine, according to a group led by Penn State and including Rensselaer Polytechnic Institute and universities in China and Japan.

7 Aug 2020