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Related Concept Videos

Schizophrenia01:17

Schizophrenia

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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...
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Biological Causes of Schizophrenia01:29

Biological Causes of Schizophrenia

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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.
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The genetic basis of schizophrenia is strongly supported by family and twin...
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Psychological and Sociocultural Causes of Schizophrenia01:29

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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...
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Negative and Cognitive Symptoms of Schizophrenia01:30

Negative and Cognitive Symptoms of Schizophrenia

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Negative symptoms of schizophrenia indicate a reduction or absence of typical behaviors and emotional responses found in healthy individuals, while positive symptoms reflect an excess or distortion of normal functioning.
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Econometric Views (EViews)01:29

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Econometric Views, often stylized as EViews, is a package that merges statistical analysis with econometric studies. It is designed to provide tools for time series analysis, forecasting, and econometric model simulation. The software originated from MicroTSP software and has evolved significantly since its inception in 1981. The history of EViews is marked by a continuous effort to enhance its computational speed and user interface. It was initially developed for large computing systems but...
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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.
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Related Experiment Video

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EEG Classification During Scene Free-Viewing for Schizophrenia Detection.

Christ Devia, Rocio Mayol-Troncoso, Javiera Parrini

    IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society
    |April 30, 2019
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    Summary

    Electroencephalography (EEG) shows potential as a biomarker for schizophrenia diagnosis. EEG recordings during natural scene viewing identified distinct patterns in patients, aiding in diagnosis support.

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    Area of Science:

    • Neuroscience
    • Psychiatry
    • Biomarkers

    Background:

    • Current schizophrenia diagnosis relies on clinical interviews and behavioral observation.
    • Electroencephalography (EEG) is primarily used for differential diagnosis, not positive diagnosis support.

    Purpose of the Study:

    • To investigate the potential of EEG recordings as biomarkers for schizophrenia.
    • To evaluate EEG signal differences between schizophrenia patients and healthy controls during naturalistic viewing.

    Main Methods:

    • Recorded EEG data from schizophrenia patients and healthy controls while they viewed natural scenes.
    • Analyzed EEG activity time-locked to image onset, focusing on occipital areas.
    • Trained a classifier using identified EEG differences to discriminate between groups.

    Main Results:

    • Significant differences in EEG activity were observed between patients and controls around 500 ms after image onset in occipital regions.
    • The trained classifier achieved 81% sensitivity for detecting patients and 59% specificity for controls, with 71% overall accuracy.

    Conclusions:

    • EEG signals during free viewing can discriminate schizophrenia patients from healthy controls.
    • EEG has potential as a diagnostic support tool for psychiatrists in diagnosing schizophrenia.