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Related Concept Videos

Brain Imaging01:14

Brain Imaging

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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...
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Depression: Overview01:18

Depression: Overview

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Depression is a prevalent mental illness marked by persistent sadness and lack of interest in previously enjoyable activities. It can take several forms, including major depression, persistent depressive disorder, and bipolar I and II disorders. Symptoms range from emotional changes like chronic worry to physical changes like sleep disturbances and suicidal thoughts. From a neurobiological perspective, depression is believed to be triggered by abnormalities in the brain's prefrontal cortex,...
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Depressive Disorders: Etiology01:27

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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.
Biological Factors in Depression
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Antidepressant Drugs: MAOIs and Other Agents

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Atypical antidepressants, including bupropion (Wellbutrin), mirtazapine (Remeron), nefazodone (Serzone), trazodone (Desyrel), and vilazodone (Viibryd), offer unique mechanisms of action. Bupropion weakly inhibits dopamine and norepinephrine reuptake, aiding depression treatment and smoking cessation, with a low risk of sexual dysfunction. Mirtazapine enhances serotonin and norepinephrine neurotransmission, leading to sedation, increased appetite, and weight gain. As a result, it helps treat...
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Related Experiment Video

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Promising Neuroimaging Biomarkers in Depression.

Chien-Han Lai1,2,3

  • 1Institute of Biophotonics, National Yang-Ming University, Taipei, Taiwan.

Psychiatry Investigation
|September 26, 2019
PubMed
Summary
This summary is machine-generated.

Neuroimaging techniques reveal promising biomarkers for major depressive disorder (MDD) in fronto-limbic brain regions. These findings may aid in predicting treatment response and understanding MDD pathophysiology.

Keywords:
Anterior cingulate cortexDorsolateral prefrontal cortexFronto-limbicHippocampusMajor depressive disorderOrbitofrontal cortex

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Area of Science:

  • Neuroscience
  • Psychiatry
  • Medical Imaging

Background:

  • Major depressive disorder (MDD) pathophysiology is increasingly studied using neuroimaging.
  • Identifying reliable biomarkers is crucial for diagnosis and treatment prediction.

Purpose of the Study:

  • To review various neuroimaging methodologies for identifying biomarkers in MDD.
  • To summarize promising fronto-limbic regions as potential biomarkers for MDD.

Main Methods:

  • Literature review of neuroimaging studies including MRI, magnetoencephalography, near-infrared spectroscopy, electroencephalography, PET, and SPECT.
  • Analysis of findings related to specific brain regions like the frontal lobes and limbic system.

Main Results:

  • Magnetic resonance imaging and magnetoencephalography suggest the anterior cingulate cortex, dorsolateral prefrontal cortex, and orbitofrontal cortex as potential biomarkers.
  • Limbic regions including the hippocampus and amygdala are also identified as promising biomarkers.
  • Near-infrared spectroscopy, electroencephalography, PET, and SPECT studies corroborate the role of frontal and limbic regions, with PET/SPECT also highlighting brainstem and midbrain involvement.

Conclusions:

  • Frontal and limbic regions show significant promise as neuroimaging biomarkers for MDD.
  • These biomarkers may be valuable for predicting antidepressant treatment response and understanding MDD's underlying pathophysiology.
  • Cognitive control and emotion regulation functions within these regions are key to biomarker development.