Simultaneous GCaMP6-based fiber photometry and fMRI in rats

Zhifeng Liang, Yuncong Ma, Glenn D.R. Watson, Nanyin Zhang

Research output: Contribution to journalArticlepeer-review

42 Scopus citations


Background Understanding the relationship between neural and vascular signals is essential for interpretation of functional MRI (fMRI) results with respect to underlying neuronal activity. Simultaneously measuring neural activity using electrophysiology with fMRI has been highly valuable in elucidating the neural basis of the blood oxygenation-level dependent (BOLD) signal. However, this approach is also technically challenging due to the electromagnetic interference that is observed in electrophysiological recordings during MRI scanning. New method Recording optical correlates of neural activity, such as calcium signals, avoids this issue, and has opened a new avenue to simultaneously acquire neural and BOLD signals. Results The present study is the first to demonstrate the feasibility of simultaneously and repeatedly acquiring calcium and BOLD signals in animals using a genetically encoded calcium indicator, GCaMP6. This approach was validated with a visual stimulation experiment, during which robust increases of both calcium and BOLD signals in the superior colliculus were observed. In addition, repeated measurement in the same animal demonstrated reproducible calcium and BOLD responses to the same stimuli. Comparison with existing method(s) Taken together, simultaneous GCaMP6-based fiber photometry and fMRI recording presents a novel, artifact-free approach to simultaneously measuring neural and fMRI signals. Furthermore, given the cell-type specificity of GCaMP6, this approach has the potential to mechanistically dissect the contributions of individual neuron populations to BOLD signal, and ultimately reveal its underlying neural mechanisms. Conclusions The current study established the method for simultaneous GCaMP6-based fiber photometry and fMRI in rats.

Original languageEnglish (US)
Pages (from-to)31-38
Number of pages8
JournalJournal of Neuroscience Methods
StatePublished - Sep 1 2017

All Science Journal Classification (ASJC) codes

  • General Neuroscience


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