Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Biological Causes of Schizophrenia

Biological Causes of Schizophrenia

Schizophrenia, a severe psychiatric disorder, arises from a complex interplay of biological factors, including genetic predisposition, structural brain abnormalities, neurotransmitter dysregulation, and developmental irregularities. These factors collectively contribute to the onset and progression of the disorder, which typically manifests in late adolescence or early adulthood.
Genetic Factors in Schizophrenia
The genetic basis of schizophrenia is strongly supported by family and twin studies.

Psychosis: Pathophysiology of Schizophrenia and Other Psychotic Disorders

Psychosis: Pathophysiology of Schizophrenia and Other Psychotic Disorders

Schizophrenia is a neurodevelopmental disorder whose origins are rooted in complex genetic components. Despite our burgeoning understanding, the pathophysiology of this disorder remains incompletely deciphered.
Researchers have identified genetic factors that increase susceptibility to schizophrenia, underscoring the intricate interplay between genetics and environment in disease development. At the core of schizophrenia's pathophysiology is excessive dopaminergic neurotransmission within the...

Brain Imaging

Brain Imaging

Brain imaging technologies provide critical insights into both the structure and function of the human brain, enabling medical professionals and researchers to diagnose, study, and treat neurological disorders or psychiatric disorders more effectively.
These technologies include computerized axial tomography (CAT or CT scans), positron-emission tomography (PET scans), magnetic resonance imaging (MRI), functional magnetic resonance imaging (fMRI), and Transcranial Magnetic Stimulation (TMS).

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Genetic studies of quantitative MCI and AD phenotypes in ADNI: Progress, opportunities, and plans.

Alzheimer's & dementia : the journal of the Alzheimer's Association·2015

Same author

Development of the human fetal hippocampal formation during early second trimester.

NeuroImage·2015

Same author

2014 Update of the Alzheimer's Disease Neuroimaging Initiative: A review of papers published since its inception.

Alzheimer's & dementia : the journal of the Alzheimer's Association·2015

Same author

Sharing data in the global alzheimer's association interactive network.

NeuroImage·2015

Same author

Imaging in StrokeNet: Realizing the Potential of Big Data.

Stroke·2015

Same author

The Image and Data Archive at the Laboratory of Neuro Imaging.

NeuroImage·2015

Same journal

The Utility of a Connecting Framework to Facilitate Understanding of and Reduce the Disparities in Hospice Care Experienced by Racial and Ethnic Minorities.

Primary psychiatry·2017

Same journal

Biologic Commonalities between Mental Illness and Addiction.

Primary psychiatry·2015

Same journal

Effects of Δ-THC on Working Memory: Implications for Schizophrenia?

Primary psychiatry·2011

Same journal

Ethnic Differences in Suicidal Ideation and Attempts.

Primary psychiatry·2010

Same journal

Cannabis and Psychosis: What Can Daily Diaries Tell Us About Who is Vulnerable?

Primary psychiatry·2009

Same journal

Suicidality in Body Dysmorphic Disorder.

Primary psychiatry·2008

See all related articles

Search research articles

Related Experiment Video

Updated: Jun 12, 2026

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data

Published on: June 26, 2013

IMAGING THE BRAIN AS SCHIZOPHRENIA DEVELOPS: DYNAMIC & GENETIC BRAIN MAPS.

Paul Thompson¹, Judith L Rapoport, Tyrone D Cannon

¹Laboratory of Neuro Imaging, Dept. of Neurology, Division of Brain Mapping, 4238 Reed Neurology, UCLA School of Medicine, Los Angeles, CA 90095-1769.

Primary Psychiatry

|September 28, 2011

Summary

This summary is machine-generated.

Schizophrenia research uses advanced neuroimaging and genetics to understand brain changes and disease progression. These tools help identify genetic risks, environmental triggers, and potential new treatments for this chronic psychiatric disorder.

More Related Videos

Translational Brain Mapping at the University of Rochester Medical Center: Preserving the Mind Through Personalized Brain Mapping

Translational Brain Mapping at the University of Rochester Medical Center: Preserving the Mind Through Personalized Brain Mapping

Published on: August 12, 2019

Measurement of Fronto-limbic Activity Using an Emotional Oddball Task in Children with Familial High Risk for Schizophrenia

Measurement of Fronto-limbic Activity Using an Emotional Oddball Task in Children with Familial High Risk for Schizophrenia

Published on: December 2, 2015

Related Experiment Videos

Last Updated: Jun 12, 2026

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data

Published on: June 26, 2013

Translational Brain Mapping at the University of Rochester Medical Center: Preserving the Mind Through Personalized Brain Mapping

Translational Brain Mapping at the University of Rochester Medical Center: Preserving the Mind Through Personalized Brain Mapping

Published on: August 12, 2019

Measurement of Fronto-limbic Activity Using an Emotional Oddball Task in Children with Familial High Risk for Schizophrenia

Measurement of Fronto-limbic Activity Using an Emotional Oddball Task in Children with Familial High Risk for Schizophrenia

Published on: December 2, 2015

Area of Science:

Neuroscience
Psychiatry
Genetics

Background:

Schizophrenia is a chronic psychiatric disorder affecting 0.2-2% globally, with onset in late teens/early twenties.
Symptoms include hallucinations, disordered thinking, depression, and social withdrawal.
Current antipsychotic drugs target dopamine and serotonin but have limitations.

Purpose of the Study:

Investigate the physical changes in the brain during schizophrenia development.
Determine if brain deficits spread and can be counteracted.
Explore the relationship between brain changes, psychotic symptoms, and genetic transmission.

Main Methods:

Utilizing recent advances in brain imaging (neuroimaging) techniques.
Applying genetic analysis to study disease transmission and risk.
Correlating neuroimaging findings with genetic data and clinical symptoms.

Main Results:

Neuroimaging can now map the emergence and progression of brain deficits.
These techniques allow for dissection of genetic risk, environmental triggers, and susceptibility genes.
Visualizing disease dynamics aids in understanding symptom development.

Conclusions:

Advanced neuroimaging and genetics offer new insights into schizophrenia's causes and progression.
These methods provide tools to study the interplay of genetic and environmental factors.
The findings support new strategies for evaluating drugs targeting schizophrenia symptoms.