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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...
Positive Symptoms of Schizophrenia: Hallucinations and Delusions01:30

Positive Symptoms of Schizophrenia: Hallucinations and Delusions

Schizophrenia is a complex mental health disorder that can manifest with various positive symptoms, including thought, movement, and behavior disorders. These symptoms significantly disrupt cognitive and motor functions, leading to profound effects on an individual's ability to engage with the world.
Thought Disorders
Disorganized and unusual thought processes mark thought disorders in schizophrenia. One key feature is disorganized speech, where an individual's conversation includes loosely...
Psychological and Sociocultural Causes of Schizophrenia01:29

Psychological and Sociocultural Causes of Schizophrenia

Schizophrenia, a complex psychiatric disorder, has been historically misunderstood. Early psychological theories attributed its origins to childhood trauma and unresponsive parenting. However, contemporary research largely rejects these notions, favoring the vulnerability-stress hypothesis. This model proposes that individuals with a genetic predisposition to schizophrenia may develop the disorder following exposure to significant environmental stressors. Notably, studies on high-risk...
Biological Causes of Schizophrenia01:29

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.
Schizophrenia01:17

Schizophrenia

Schizophrenia, a term introduced by Swiss psychiatrist Eugen Bleuler in 1911, describes a severe psychological disorder marked by profound disruptions in attention, thought processes, language, emotion, and interpersonal relationships. The core feature of schizophrenia is psychosis — a state characterized by a fundamental detachment from reality. This disconnection manifests through distorted logic, impaired perception, and atypical behavior, severely affecting the lives of those diagnosed.
Positive Symptoms Schizophrenia: Hallucinations and Delusions01:26

Positive Symptoms Schizophrenia: Hallucinations and Delusions

Schizophrenia is a complex psychiatric disorder characterized by a range of symptoms that significantly impact cognition, behavior, and emotional regulation. Among these, the positive symptoms stand out as they involve the addition or exaggeration of normal mental functions, deviating markedly from typical behavior and perception. Hallucinations and delusions are prominent positive symptoms, each profoundly affecting the individual's experience of reality.
Hallucinations
Hallucinations in...

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Updated: May 23, 2026

Standardized Data Acquisition for Neuromelanin-Sensitive Magnetic Resonance Imaging of the Substantia Nigra
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Standardized Data Acquisition for Neuromelanin-Sensitive Magnetic Resonance Imaging of the Substantia Nigra

Published on: September 8, 2021

Complexity and schizophrenia.

Alberto Fernández1, Carlos Gómez, Roberto Hornero

  • 1Departamento de Psiquiatría y Psicología Médica, Facultad de Medicina, Universidad Conmplutense, Madrid, Spain. aferlucas@med.ucm.es

Progress in Neuro-Psychopharmacology & Biological Psychiatry
|April 18, 2012
PubMed
Summary
This summary is machine-generated.

Schizophrenia research shows conflicting brain signal complexity findings. This study proposes increased complexity in young, untreated patients with positive symptoms, modulated by medication, symptoms, and age, offering new insights into neuropathology.

Keywords:
AMIAgeApEnCMICNCPTComplexityCΩD2EEGFDHFDHiguchi's fractal dimensionL1LZCLempel-Ziv complexityMEGMIMSENegative symptomsNeurolepticsPositive symptomsSampEnSchizophreniaapproximate entropyauto mutual informationcontinuous performance testcorrelation dimensioncross mutual informationelectroencephalographyfirst Lyapunov exponentfractal dimensionmagnetoencephalographymultiscale entropymutual informationneural complexityomega complexitysample entropy.

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Signal Attenuation as a Rat Model of Obsessive Compulsive Disorder
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Last Updated: May 23, 2026

Standardized Data Acquisition for Neuromelanin-Sensitive Magnetic Resonance Imaging of the Substantia Nigra
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Published on: September 8, 2021

Signal Attenuation as a Rat Model of Obsessive Compulsive Disorder
09:29

Signal Attenuation as a Rat Model of Obsessive Compulsive Disorder

Published on: January 9, 2015

Area of Science:

  • Neuroscience
  • Psychiatry
  • Computational Psychiatry

Background:

  • Complexity estimators are widely used in schizophrenia research.
  • Early studies reported increased brain signal complexity in patients, linked to higher variability.
  • Subsequent research revealed reduced complexity, creating a significant divergence in findings.

Purpose of the Study:

  • To explain the divergence in complexity measures reported in schizophrenia research.
  • To propose a complementary hypothesis regarding brain signal complexity in schizophrenia.
  • To investigate the modulating effects of medication, symptomatology, and age on complexity measures.

Main Methods:

  • Utilizing complexity estimators to analyze electroencephalography (EEG) and magnetoencephalography (MEG) data.
  • Formulating a hypothesis based on increased neurophysiological irregularity in schizophrenia.
  • Examining the interplay of medication, symptom severity (particularly positive symptoms), and age.

Main Results:

  • Hypothesized a "natural" tendency towards increased complexity in EEG/MEG scans of schizophrenia patients.
  • Suggested this increased complexity may reflect abnormal neuronal firing patterns, potentially in frontal regions.
  • Predicted that young, medication-naïve patients with pronounced positive symptoms would exhibit higher complexity.

Conclusions:

  • The divergence in complexity findings may be explained by the interplay of modulating factors.
  • Complexity estimators can help elucidate neuropathological processes in schizophrenia.
  • Further investigation into these interacting factors is crucial for understanding schizophrenia's neurobiology.