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Systemic physiological "noise" in fMRI has clinical relevance
Julia C Welsh1, Cole Korponay2,3, Tianye Zhai1
1Neuroimaging Research Branch, National Institute on Drug Abuse (NIDA), Intramural Research Program, National Institutes of Health, Baltimore, MD 21224, USA.
Medrxiv : the Preprint Server for Health Sciences
|September 5, 2025
Summary
Systemic low-frequency oscillations (sLFOs) in fMRI signals, often ignored, reveal insights into drug use and behavior. This research highlights sLFOs as a valuable biomarker for understanding neurobiological responses to substances.
Area of Science:
- Neuroimaging
- Neuropharmacology
- Addiction Science
Background:
- Functional magnetic resonance imaging (fMRI) is crucial for neuroscience but lacks clinical application.
- The systemic low-frequency oscillation (sLFO) is an fMRI signal component often disregarded as noise.
- sLFOs are associated with blood flow and physiological arousal.
Purpose of the Study:
- To investigate the potential of sLFOs as a biomarker for drug use phenotypes.
- To explore the relationship between sLFO amplitude and nicotine dependence, craving, and response to methylphenidate.
Main Methods:
- Analysis of fMRI data focusing on sLFO amplitude in individuals with chronic nicotine use and healthy controls.
- Correlational analysis linking sLFO amplitude to dependence severity and cue-induced craving.
- Assessment of sLFO response to acute methylphenidate and nicotine administration in healthy participants.
Main Results:
- In chronic nicotine users, sLFO amplitude increased during abstinence and correlated with dependence and craving.
- In healthy individuals, methylphenidate, but not nicotine, reduced sLFO amplitude, correlating with improved performance.
- sLFOs demonstrate sensitivity to drug administration, cues, and abstinence states.
Conclusions:
- The sLFO component of the fMRI signal contains significant biological information relevant to drug use.
- sLFOs can serve as a complementary biomarker to traditional fMRI analyses, potentially increasing clinical utility.
- Accounting for sLFOs is essential for accurate interpretation of fMRI data across various experimental conditions.

