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Related Concept Videos

Organization of the Brain01:30

Organization of the Brain

The brain is an integral component of the nervous system and serves as the center for processing sensory inputs, making decisions, and directing bodily actions. This complex organ is organized into three primary sections: the hindbrain, midbrain, and forebrain, each responsible for a range of vital functions.
Hindbrain
The hindbrain, located at the base of the brain, plays a vital role in regulating automatic processes that sustain life. It includes the medulla oblongata, which is essential for...
Theoretical Approaches to Psychological Disorder01:29

Theoretical Approaches to Psychological Disorder

The development of psychological disorders, which are characterized by deviant, maladaptive, and personally distressing behaviors, has been explored through several theoretical approaches.
Biological approach
The biological approach posits that internal, organic factors are the primary causes of such disorders. This perspective emphasizes brain structure and function, genetic predispositions, and neurotransmitter imbalances. For example, schizophrenia has been associated with both genetic...
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).
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.
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...
Depressive Disorders: Etiology01:27

Depressive Disorders: Etiology

Depressive disorders result from a complex interplay of biological, psychological, and sociocultural factors, each contributing uniquely to the development and persistence of the condition. Understanding these factors provides critical insight into the multifaceted nature of depression.
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Biological predispositions significantly influence the risk of developing depressive disorders. Genetic studies highlight the role of variations in the serotonin transporter...

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Related Experiment Video

Updated: Jun 6, 2026

Manual Segmentation of the Human Choroid Plexus Using Brain MRI
04:25

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Published on: December 15, 2023

[Analysis of brain complexity and mental disorders].

A Fernández1, M Méndez Andreina, R Hornero

  • 1Departamento de Psiquiatría y Psicología Médica, Centro de Magnetoencefalografía Dr. Pérez-Modrego, Universidad Complutense de Madrid.

Actas Espanolas De Psiquiatria
|November 25, 2010
PubMed
Summary

Advanced analysis of brain signals, like electroencephalography (EEG) and magnetoencephalography (MEG), may unlock crucial biological markers for mental disorders, aiding diagnosis and treatment.

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Last Updated: Jun 6, 2026

Manual Segmentation of the Human Choroid Plexus Using Brain MRI
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Meta-analysis of Voxel-Based Neuroimaging Studies using Seed-based d Mapping with Permutation of Subject Images (SDM-PSI)
06:26

Meta-analysis of Voxel-Based Neuroimaging Studies using Seed-based d Mapping with Permutation of Subject Images (SDM-PSI)

Published on: November 27, 2019

Area of Science:

  • Neuroscience
  • Psychiatry
  • Signal Processing

Context:

  • Despite advances in understanding brain processes in mental disorders, reliable biological markers remain elusive.
  • Neurophysiological techniques like EEG and MEG have shown promise but haven't translated to routine clinical practice.
  • Existing analysis methods may overlook critical information within brain signals.

Purpose:

  • To review the application of non-linear analysis, specifically brain signal complexity, in psychiatric research.
  • To explore how complexity parameters can capture the dynamic nature of mental disorders.
  • To highlight studies focusing on diagnosis, treatment follow-up, and response prediction.

Summary:

  • Non-linear analysis, particularly of brain signal complexity (EEG/MEG), offers a novel approach to psychiatric research.
  • Complexity parameters estimate signal predictability and the number of independent oscillators, reflecting brain dynamics.
  • This review covers key studies utilizing complexity for diagnosing, monitoring, and predicting treatment outcomes in mental disorders.

Impact:

  • Potential to improve diagnostic accuracy and personalize treatment strategies for mental health conditions.
  • Advances the development of objective biological markers for psychiatric disorders.
  • Facilitates a deeper understanding of the neurophysiological underpinnings of mental illness.