Serotonin-1A receptor binding is positively associated with gray matter volume - A multimodal neuroimaging study combining PET and structural MRI

C. Kraus, A. Hahn, M. Savli, Georg Kranz, P. Baldinger, A. Höflich, C. Spindelegger, J. Ungersboeck, D. Haeusler, M. Mitterhauser, C. Windischberger, W. Wadsak, S. Kasper, R. Lanzenberger

Research output: Journal article publicationJournal articleAcademic researchpeer-review

21 Citations (Scopus)


Animal models revealed that the serotonin-1A (5-HT1A) receptor modulates gray matter structure. However, there is a lack of evidence showing the relationship between 5-HT1A receptor concentration and gray matter in the human brain in vivo. Here, to demonstrate an association between the 5-HT1A receptor binding potential, an index for receptor concentration, and the local gray matter volume (GMV), an index for gray matter structure, we measured 35 healthy subjects with both positron emission tomography (PET) and structural magnetic resonance imaging (MRI). We found that regional heteroreceptor binding was positively associated with GMV in distinctive brain regions such as the hippocampi and the temporal cortices in both hemispheres (R2 values ranged from 0.308 to 0.503, p<0.05 cluster-level FDR-corrected). Furthermore, autoreceptor binding in the midbrain raphe region was positively associated with GMV in forebrain projection sites (R2=0.656, p=0.001). We also observed a broad range between 5-HT1A receptor binding and GMV. Given the congruence of altered 5-HT1A receptor concentrations and GMV reduction in depression or Alzheimer's disease as reported by numerous studies, these results might provide new insights towards understanding the mechanisms behind GMV alterations observed in these brain disorders. © 2012 Elsevier Inc.
Original languageEnglish
Pages (from-to)1091-1098
Number of pages8
Issue number3
Publication statusPublished - 15 Nov 2012
Externally publishedYes


  • 5-HT1A receptor
  • Positron emission tomography
  • Structural magnetic resonance imaging

ASJC Scopus subject areas

  • Neurology
  • Cognitive Neuroscience

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