All-night functional magnetic resonance imaging sleep studies

Thomas M. Moehlman, Jacco A. de Zwart, Miranda G. Chappel-Farley, Xiao Liu, Irene B. McClain, Catie Chang, Hendrik Mandelkow, Pinar S. Özbay, Nicholas L. Johnson, Rebecca E. Bieber, Katharine A. Fernandez, Kelly A. King, Christopher K. Zalewski, Carmen C. Brewer, Peter van Gelderen, Jeff H. Duyn, Dante Picchioni

Research output: Contribution to journalArticlepeer-review

14 Scopus citations


Background: Previous functional magnetic resonance imaging (fMRI) sleep studies have been hampered by the difficulty of obtaining extended amounts of sleep in the sleep-adverse environment of the scanner and often have resorted to manipulations such as sleep depriving subjects before scanning. These manipulations limit the generalizability of the results. New method: The current study is a methodological validation of procedures aimed at obtaining all-night fMRI data in sleeping subjects with minimal exposure to experimentally induced sleep deprivation. Specifically, subjects slept in the scanner on two consecutive nights, allowing the first night to serve as an adaptation night. Results/comparison with existing method(s): Sleep scoring results from simultaneously acquired electroencephalography data on Night 2 indicate that subjects (n = 12) reached the full spectrum of sleep stages including slow-wave (M = 52.1 min, SD = 26.5 min) and rapid eye movement (REM, M = 45.2 min, SD = 27.9 min) sleep and exhibited a mean of 2.1 (SD = 1.1) nonREM-REM sleep cycles. Conclusions: It was found that by diligently applying fundamental principles and methodologies of sleep and neuroimaging science, performing all-night fMRI sleep studies is feasible. However, because the two nights of the study were performed consecutively, some sleep deprivation from Night 1 as a cause of the Night 2 results is likely, so consideration should be given to replicating the current study with a washout period. It is envisioned that other laboratories can adopt the core features of this protocol to obtain similar results.

Original languageEnglish (US)
Pages (from-to)83-98
Number of pages16
JournalJournal of Neuroscience Methods
StatePublished - Mar 15 2019

All Science Journal Classification (ASJC) codes

  • Neuroscience(all)


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