Advances in resting state fMRI acquisitions for functional connectomics

Luisa Raimondo, ĺcaro A.F. Oliveira, Jurjen Heij, Nikos Priovoulos, Prantik Kundu, Renata Ferranti Leoni, Wietske van der Zwaag*

*Corresponding author for this work

Research output: Contribution to JournalReview articleAcademicpeer-review


Resting state functional magnetic resonance imaging (rs-fMRI) is based on spontaneous fluctuations in the blood oxygen level dependent (BOLD) signal, which occur simultaneously in different brain regions, without the subject performing an explicit task. The low-frequency oscillations of the rs-fMRI signal demonstrate an intrinsic spatiotemporal organization in the brain (brain networks) that may relate to the underlying neural activity. In this review article, we briefly describe the current acquisition techniques for rs-fMRI data, from the most common approaches for resting state acquisition strategies, to more recent investigations with dedicated hardware and ultra-high fields. Specific sequences that allow very fast acquisitions, or multiple echoes, are discussed next. We then consider how acquisition methods weighted towards specific parts of the BOLD signal, like the Cerebral Blood Flow (CBF) or Volume (CBV), can provide more spatially specific network information. These approaches are being developed alongside the commonly used BOLD-weighted acquisitions. Finally, specific applications of rs-fMRI to challenging regions such as the laminae in the neocortex, and the networks within the large areas of subcortical white matter regions are discussed. We finish the review with recommendations for acquisition strategies for a range of typical applications of resting state fMRI.

Original languageEnglish
Article number118503
Pages (from-to)1-13
Number of pages13
Early online date31 Aug 2021
Publication statusPublished - Nov 2021

Bibliographical note

Funding Information:
This work was supported by a Netherlands Organization for Scientific Research (NWO) Vidi Grant (TTW VI.Vidi.198.016 to W.Z.) and a Royal Netherlands Academy for Arts and Sciences (KNAW) Onderzoeksfonds grant (2018 to W.Z and others)

Publisher Copyright:
© 2021 The Author(s)


  • Echo planar imaging
  • Functional connectome
  • High field
  • ME-EPI
  • Resting state


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