Gaining insight into the neural basis of resting-state fMRI signal

Zilu Ma, Qingqing Zhang, Wenyu Tu, Nanyin Zhang

Research output: Contribution to journalArticlepeer-review

12 Scopus citations

Abstract

The blood oxygenation level-dependent (BOLD)-based resting-state functional magnetic resonance imaging (rsfMRI) has been widely used as a non-invasive tool to map brain-wide connectivity architecture. However, the neural basis underpinning the resting-state BOLD signal remains elusive. In this study, we combined simultaneous calcium-based fiber photometry with rsfMRI in awake animals to examine the relationship of the BOLD signal and spiking activity at the resting state. We observed robust couplings between calcium and BOLD signals in the dorsal hippocampus as well as other distributed areas in the default mode network (DMN), suggesting that the calcium measurement can reliably predict the rsfMRI signal. In addition, using the calcium signal recorded as the ground truth, we assessed the impacts of different rsfMRI data preprocessing pipelines on functional connectivity mapping. Overall, our results provide important evidence suggesting that spiking activity measured by the calcium signal plays a key role in the neural mechanism of resting-state BOLD signal.

Original languageEnglish (US)
Article number118960
JournalNeuroImage
Volume250
DOIs
StatePublished - Apr 15 2022

All Science Journal Classification (ASJC) codes

  • Neurology
  • Cognitive Neuroscience

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