Quantum Sensing MRI for Noninvasive Detection of Neuronal Electrical Activity in Human Brains

• URL: http://arxiv.org/abs/2601.16423v1
• Date: Fri, 23 Jan 2026 03:26:43 GMT
• Title: Quantum Sensing MRI for Noninvasive Detection of Neuronal Electrical Activity in Human Brains
• Authors: Yongxian Qian, Ying-Chia Lin, Seyedehsara Hejazi, Kamri Clarke, Kennedy Watson, Xingye Chen, Nahbila-Malikha Kumbella, Justin Quimbo, Abena Dinizulu, Simon Henin, Yulin Ge, Arjun Masurkar, Anli Liu, Yvonne W. Lui, Fernando E. Boada,
• Abstract summary: qsMRI exploits endogenous proton (1H) nuclear spins in water molecules as intrinsic quantum sensors.<n>We validate qsMRI through simulations, phantom experiments, and human studies at rest and during motor tasks.
• Score: 27.349327037270612
• License: http://creativecommons.org/licenses/by-nc-nd/4.0/
• Abstract: Neuronal electrical activity underlies human cognition, yet its direct, noninvasive measurement in the living human brain remains a fundamental challenge. Existing neuroimaging techniques, including EEG, MEG, and fMRI, are limited by trade-offs in sensitivity and spatial or temporal resolution. Here we propose quantum sensing MRI (qsMRI), a noninvasive approach that enables direct detection of neuronal firing-induced magnetic fields using a clinical MRI system. qsMRI exploits endogenous proton (1H) nuclear spins in water molecules as intrinsic quantum sensors and decodes time-resolved phase information from free induction decay (FID) signals to infer neuronal magnetic fields. We validate qsMRI through simulations, phantom experiments, and human studies at rest and during motor tasks, and provide open experimental procedures to facilitate independent validation. We further present a case study demonstrating potential applications to neurological disorders. qsMRI represents a first-in-human application of quantum sensing on a clinical MRI platform, establishes a non-BOLD functional imaging modality, and enables interrogation of neuronal firing dynamics in both cortical and deep brain regions.

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