BNST-insula structural connectivity in humans

Elizabeth A. Flook, Brandee Feola, Suzanne N. Avery, Danny G. Winder, Neil D. Woodward, Stephan Heckers, Jennifer Urbano Blackford

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

The bed nucleus of the stria terminalis (BNST) is emerging as a critical region in multiple psychiatric disorders including anxiety, PTSD, and alcohol and substance use disorders. In conjunction with growing knowledge of the BNST, an increasing number of studies examine connections of the BNST and how those connections impact BNST function. The importance of this BNST network is highlighted by rodent studies demonstrating that projections from other brain regions regulate BNST activity and influence BNST-related behavior. While many animal and human studies replicate the components of the BNST network, to date, structural connections between the BNST and insula have only been described in rodents and have yet to be shown in humans. In this study, we used probabilistic tractography to examine BNST-insula structural connectivity in humans. We used two methods of dividing the insula: 1) anterior and posterior insula, to be consistent with much of the existing insula literature; and 2) eight subregions that represent informative cytoarchitectural divisions. We found evidence of a BNST-insula structural connection in humans, with the strongest BNST connectivity localized to the anteroventral insula, a region of agranular cortex. BNST-insula connectivity differed by hemisphere and was moderated by sex. These results translate rodent findings to humans and lay an important foundation for future studies examining the role of BNST-insula pathways in psychiatric disorders.

Original languageEnglish (US)
Article number116555
JournalNeuroImage
Volume210
DOIs
StatePublished - Apr 15 2020
Externally publishedYes

Keywords

  • Agranular insula
  • Anterior Insula
  • BNST
  • DTI
  • Structural connectivity

ASJC Scopus subject areas

  • Neurology
  • Cognitive Neuroscience

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