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Related Concept Videos

Brain Imaging01:14

Brain Imaging

212
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...
212

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Related Experiment Video

Updated: Jun 8, 2025

A Multimodal Imaging- and Stimulation-based Method of Evaluating Connectivity-related Brain Excitability in Patients with Epilepsy
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Depression-induced changes in directed functional brain networks: A source-space resting-state EEG study.

Zhongwen Jia1, Lihan Tang1, Jidong Lv1

  • 1School of Microelectronics and Control Engineering, Changzhou University, Jiangsu 213164, China.

Mathematical Biosciences and Engineering : MBE
|November 1, 2024
PubMed
Summary
This summary is machine-generated.

Depression is linked to altered brain information flow, with increased interhemispheric activity and reduced anterior-posterior connectivity observed in theta and alpha bands. These findings aid in understanding depression pathogenesis and identification.

Keywords:
depressiondepressive symptomsdirected connectivityelectroencephalogram

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Area of Science:

  • Neuroscience
  • Psychiatry
  • Computational Neuroscience

Background:

  • Resting-state electroencephalogram (EEG) studies reveal abnormalities in brain activity and connectivity in depression.
  • Understanding the dynamics of information flow between cortical regions is crucial for elucidating the neural underpinnings of depression.

Purpose of the Study:

  • To investigate alterations in the direction and strength of information flow between cortical regions in adolescents with depression compared to healthy controls.
  • To identify specific brain regions and frequency bands affected by altered information flow in depression.

Main Methods:

  • Utilized 64-channel EEG to record neural oscillatory activity in 22 depressed patients and 22 healthy adolescents.
  • Employed directional phase transfer entropy (PTE) to analyze information flow between 68 cortical regions in source-space.
  • Examined theta and alpha frequency bands for interhemispheric and anterior-posterior connectivity patterns.

Main Results:

  • Depressed subjects exhibited increased PTE information flow between hemispheres in theta and alpha bands compared to controls.
  • Reduced information flow intensity was observed between anterior and posterior regions within each hemisphere in depressed individuals.
  • Significant differences in information flow were identified in specific regions including the left supramarginal gyrus, bilateral lateral occipital lobe, paracentral gyrus, and parahippocampal gyrus.
  • Cross-classification accuracy for directed PTE values reached 91%.

Conclusions:

  • Altered interhemispheric and intrahemispheric information flow patterns are associated with depression.
  • These findings suggest that disrupted brain connectivity contributes to the pathogenesis of depression.
  • The study provides insights for potential biomarkers for patient identification and further pathological investigations in depression.