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Related Concept Videos

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).

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A Multimodal Imaging- and Stimulation-based Method of Evaluating Connectivity-related Brain Excitability in Patients with Epilepsy
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Brain electrical source differences between depressed subjects and healthy controls.

Alexander S Korb1, Ian A Cook, Aimee M Hunter

  • 1Laboratory of Brain, Behavior, and Pharmacology, Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior at UCLA, David Geffen School of Medicine at UCLA, Los Angeles, CA 90024-1759, USA. alexkorb@ucla.edu

Brain Topography
|October 30, 2008
PubMed
Summary
This summary is machine-generated.

Major Depressive Disorder (MDD) shows abnormal brain activity in the anterior cingulate and prefrontal cortices. Electrode montage selection significantly impacts Low-Resolution Electromagnetic Tomography (LORETA) findings in MDD research.

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Design and Implementation of an fMRI Study Examining Thought Suppression in Young Women with, and At-risk, for Depression

Published on: May 19, 2015

Area of Science:

  • Neuroscience
  • Psychiatry
  • Medical Imaging

Background:

  • Major Depressive Disorder (MDD) is associated with metabolic and perfusion abnormalities in brain regions like the anterior cingulate and prefrontal cortices.
  • Low-Resolution Electromagnetic Tomography (LORETA) has indicated functional abnormalities in these same regions in MDD patients.
  • Inconsistencies exist across LORETA studies and with other functional neuroimaging modalities, potentially due to variations in electrode montages.

Purpose of the Study:

  • To investigate the impact of electrode montages on LORETA findings in Major Depressive Disorder (MDD).
  • To compare resting-state brain activity between unmedicated MDD subjects and healthy controls using LORETA.
  • To assess the consistency of LORETA findings with other neuroimaging modalities.

Main Methods:

  • Collected 36-channel electroencephalography (EEG) data from 74 unmedicated MDD subjects and age/gender-matched healthy controls.
  • Analyzed resting-state current density using LORETA across 2,394 cortical voxels.
  • Performed LORETA analysis with all electrodes and with specific prefrontal electrodes removed to evaluate montage sensitivity.

Main Results:

  • MDD subjects exhibited significantly elevated current density in delta, theta, alpha, beta1, and beta2 frequency bands in the anterior cingulate and prefrontal cortices compared to controls.
  • Removing specific prefrontal electrodes from the LORETA analysis reduced or abolished the significant group differences.
  • LORETA detected brain activity differences consistent with other imaging modalities, highlighting the influence of electrode selection.

Conclusions:

  • LORETA can identify brain activity differences between MDD patients and healthy individuals.
  • Electrode montage selection critically influences LORETA results, potentially explaining discrepancies in previous research.
  • Standardizing electrode montages in LORETA studies is crucial for consistent and reproducible findings in MDD research.