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Related Concept Videos

Psychosis: Pathophysiology of Schizophrenia and Other Psychotic Disorders01:27

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...
Biological Causes of Schizophrenia01:29

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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.
Brain Imaging01:14

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).

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Related Experiment Video

Updated: Jun 18, 2026

Measurement of Fronto-limbic Activity Using an Emotional Oddball Task in Children with Familial High Risk for Schizophrenia
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Convergent approaches for defining functional imaging endophenotypes in schizophrenia.

Godfrey D Pearlson1, Vince D Calhoun

  • 1Olin Neuropsychiatry Research Center, Institute of Living Hartford, CT 06106, USA. godfrey.pearlson@yale.edu

Frontiers in Human Neuroscience
|December 4, 2009
PubMed
Summary

Endophenotypes, or intermediate traits, aid schizophrenia research by bridging genes and illness. Functional MRI studies using cognitive tasks or task-free approaches offer new insights into schizophrenia

Keywords:
default modeendophenotypefMRIindependent component analysisintermediate phenotyperesting stateschizophreniaworking memory

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Area of Science:

  • Neuroscience
  • Psychiatry
  • Genetics

Background:

  • Complex genetic disorders like schizophrenia benefit from endophenotype research.
  • Endophenotypes are closer to causative genes than clinical symptoms, simplifying genetic architecture.
  • Studying unaffected relatives helps avoid illness-related confounds in neuroimaging.

Purpose of the Study:

  • To review functional magnetic resonance imaging (fMRI) approaches for schizophrenia endophenotype research.
  • To compare "cognitive stress test" paradigms with "task-free" fMRI methods.
  • To explore the relationship between endophenotypes and schizophrenia's genetic risk architecture.

Main Methods:

  • Review of two primary fMRI approaches: cognitive tasks and task-free paradigms.
  • Analysis of data analytic strategies for each fMRI method.
  • Examination of recent studies linking endophenotypes to genetic risk in schizophrenia.

Main Results:

  • Both cognitive task-based and task-free fMRI approaches offer distinct advantages for endophenotype research in schizophrenia.
  • The choice of fMRI method impacts the interpretation of results and their relation to genetic factors.
  • Quantitative functional brain imaging provides promising endophenotypes for schizophrenia.

Conclusions:

  • Endophenotypes, particularly those derived from fMRI, are valuable tools for understanding schizophrenia's genetic basis and pathophysiology.
  • Future research should consider the strengths and weaknesses of different fMRI paradigms in relation to genetic architecture.
  • A shift towards quantitative traits and unaffected relatives enhances the study of complex genetic disorders like schizophrenia.