FDG-PET analysis of amygdalar-cortical network covariance during pre- versus post-menopausal estrogen levels: Potential relevance to resting state networks, mood, and cognition

William E. Ottowitz, David Derro, Darin D. Dougherty, Martin A. Lindquist, Alan J. Fischman, Janet E. Hall

Research output: Contribution to journalArticlepeer-review

Abstract

Objectives: 1.) Expand the scope of neuroendocrine applications of functional neuroimaging techniques. 2.) Compare the covariance of amygdalar activity with that of the rest of the brain during pre- and post-menopausal levels of estrogen (E2). Based on the distribution of cortical E2 receptors and the neocortical regions where E2 has been shown to preferentially accumulate, we predict that E2 infusion will increase covariance of amygdalar activity with that of the temporal and frontal cortices. Design: This basic physiology study employed a within-subject design. All participants were post-menopausal women (n =7). Analysis of covariance between whole brain and amygdalar regional cerebral glucose consumption (CMRglc) was conducted in a voxel-wise manner by means of the basic regression option in SPM2 and was applied to FDG-PET scans acquired at baseline and after a 24 hour graded E2 infusion. Setting: An academic medical center; Massachusetts General Hospital, Boston, Massachusetts. Results: E2 levels (mean ± sem) were significantly greater at 24 hours (257.9 pg/mL ± 29.7) than at 0 hours (28.1 pg/mL ± 3.4). Right amygdalar CMRglc showed a significant covariance with activity of three different regions of the temporal cortex during E2 infusion, but none at baseline. In addition, right amygdalar CMRglc covaried with that of the right medial and superior frontal gyri only during E2 infusion. Conclusions: In addition to suggesting changes in amygdalar-cortical network connectivity as a result of short-term E2 exposure, these analyses provide evidence that basic neuroendocrine research may benefit from further use of FDG-PET and other functional neuroimaging modalities for network level analyses.

Original languageEnglish (US)
Pages (from-to)467-474
Number of pages8
JournalNeuroendocrinology Letters
Volume29
Issue number4
StatePublished - Aug 2008
Externally publishedYes

Keywords

  • Amygdala
  • Depression
  • Estradiol
  • Functional connectivity
  • Functional neuroimaging
  • Neurophysiology
  • Prefrontal cortex
  • Temporal cortex
  • Working memory

ASJC Scopus subject areas

  • Endocrinology, Diabetes and Metabolism
  • Endocrinology
  • Neurology
  • Endocrine and Autonomic Systems
  • Clinical Neurology
  • Psychiatry and Mental health

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