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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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Gray matter abnormalities associated with betel quid dependence: a voxel-based morphometry study.

Feng Chen1, Yuan Zhong2, Zhiqiang Zhang3

  • 1Department of Medical Imaging, Jinling Hospital, Clinical School of Southern Medical University Nanjing 210002, Jiangsu Province, China ; Department of Radiology, People's Hospital of Hainan Province Haikou 570311, China.

American Journal of Translational Research
|April 23, 2015
PubMed
Summary

Betel quid dependence (BQD) is linked to brain gray matter changes, including reduced volume in key areas like the midbrain and prefrontal cortex. These structural alterations may underlie BQD

Keywords:
Betel quidbetel quid dependencedrug dependencegray mattervoxel-based morphometry

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Area of Science:

  • Neuroimaging
  • Neuroscience
  • Addiction Research

Background:

  • Betel quid dependence (BQD) is characterized by cognitive, behavioral, and physiological symptoms.
  • These symptoms are associated with structural abnormalities in brain gray matter.
  • Limited research exists on brain structural alterations in BQD and their correlation with clinical factors.

Purpose of the Study:

  • To investigate gray matter (GM) volume alterations in patients with BQD using voxel-based morphometry (VBM).
  • To assess the association between GM volume changes and clinical indexes in BQD patients.

Main Methods:

  • Recruited 33 BQD patients and 32 age/gender-matched controls.
  • Utilized T1 structural voxel-based morphometry (VBM) to analyze gray matter (GM) volume.
  • Performed Pearson correlation analysis between GM volumes and clinical indexes (BQD scores, illness duration, SAS, SDS).

Main Results:

  • BQD patients showed significantly decreased GM volume in the midbrain, right anterior cingulate cortex (rACC), bilateral dorsolateral prefrontal cortex (dlPFC), and right superior temporal gyrus (STG).
  • Increased GM volume was observed in the right hippocampus and right precuneus in BQD patients.
  • Left dlPFC and right rACC volumes negatively correlated with BQD duration; midbrain volumes negatively correlated with BQD scores.

Conclusions:

  • Brain structural changes, particularly in gray matter, are present in BQD patients.
  • These findings suggest a potential neurobiological basis for BQD and offer insights into its pathogenesis.
  • Voxel-based morphometry (VBM) is an effective in vivo tool for studying gray matter alterations in BQD.