Gray matter changes in panic disorder: A voxel-based meta-analysis and meta-analytic connectivity modeling

Yun Wu, Yuan Zhong, Zijuan Ma, Xin Lu, Ning Zhang, Peter T. Fox, Chun Wang

Research output: Contribution to journalArticlepeer-review

18 Scopus citations


Magnetic resonance imaging (MRI) studies of panic disorder (PD) have discovered various damaged brain regions, with heterogeneous results across studies. The present study used meta-analytic approaches to discover gray matter (GM) changes consistently detected in PD and to characterize the functional and connectivity profiles of these regions. In the present study we first conducted an activation likelihood estimation (ALE) meta-analysis of eight eligible whole-brain VBM studies. Then, meta-analytic connectivity modeling analyses (MACMs) were used to provide co-atrophy and co-activation profiles across all the experiments stored in BrainMap. Lastly, the co-atrophied and co-activated regions were analyzed using functional decoding to reveal their functions. Lower gray matter volume was found in the bilateral dorsomedial prefrontal cortex (DMPFC), left dorsolateral prefrontal cortex (DLPFC), right insula, right superior temporal gyrus (STG), right middle temporal gyrus (MTG) and right superior orbital frontal cortex (OFC). Significant co-atrophies were found in the STG, DMPFC and OFC and co-activations were found between the left DLPFC and bilateral DMPFC. Decreased gray matter volume in STG, OFC, DLPFC and DMPFC and their co-atrophy and co-activation patterns indicate the damaged higher cognitive functions in PD and suggest that cortical regions are important structural imaging biomarkers in PD.

Original languageEnglish (US)
Pages (from-to)82-89
Number of pages8
JournalPsychiatry Research - Neuroimaging
StatePublished - Dec 30 2018
Externally publishedYes


  • Meta-analysis
  • Meta-analytic connectivity modeling
  • Panic disorder
  • Voxel-based morphometry

ASJC Scopus subject areas

  • Neuroscience (miscellaneous)
  • Radiology Nuclear Medicine and imaging
  • Psychiatry and Mental health


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