Hybrid PET/MR imaging and brain connectivity

Research output: Contribution to journalArticle

Abstract

In recent years, brain connectivity is gaining ever-increasing interest from the interdisciplinary research community. The study of brain connectivity is characterized by a multifaceted approach providing both structural and functional evidence of the relationship between cerebral regions at different scales. Although magnetic resonance (MR) is the most established imaging modality for investigating connectivity in vivo, the recent advent of hybrid positron emission tomography (PET)/MR scanners paved the way for more comprehensive investigation of brain organization and physiology. Due to the high sensitivity and biochemical specificity of radiotracers, combining MR with PET imaging may enrich our ability to investigate connectivity by introducing the concept of metabolic connectivity and cometomics and promoting new insights on the physiological and molecular bases underlying high-level neural organization. This review aims to describe and summarize the main methods of analysis of brain connectivity employed in MR imaging and nuclear medicine. Moreover, it will discuss practical aspects and state-of-the-art techniques for exploiting hybrid PET/MR imaging to investigate the relationship of physiological processes and brain connectivity.

Original languageEnglish
Article number64
JournalFrontiers in Neuroscience
Volume10
Issue numberMAR
DOIs
Publication statusPublished - Mar 1 2016

Fingerprint

Positron-Emission Tomography
Magnetic Resonance Imaging
Brain
Magnetic Resonance Spectroscopy
Physiological Phenomena
Nuclear Medicine
Sensitivity and Specificity
Research

Keywords

  • Brain connectivity
  • Connectome
  • Metabolic networks
  • MR
  • PET
  • PET/MR
  • Resting state networks

ASJC Scopus subject areas

  • Neuroscience(all)

Cite this

Hybrid PET/MR imaging and brain connectivity. / Aiello, Marco; Cavaliere, Carlo; Salvatore, Marco.

In: Frontiers in Neuroscience, Vol. 10, No. MAR, 64, 01.03.2016.

Research output: Contribution to journalArticle

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