honglab.

Decoding the neural architecture of behavior.

News

SORDINO Imaging Technique Enhances Brain Mapping Accuracy in Behaving Subjects

Conventional EPI and ZTE MRI sequences alternate between periods of rapid gradient change and periods of near-stagnation. That discontinuity is the weak point.

updated September 20, 2026

SORDINO Imaging Technique Enhances Brain Mapping Accuracy in Behaving Subjects

The Bottleneck Being Removed

As Yen-Yu Ian Shih, senior and corresponding author on the paper, told Medical Xpress, "fMRI is extremely powerful, but its conventional implementation is loud and sensitive to motion and other artifacts, which can be particularly problematic when studying awake, behaving subjects." BOLD fMRI reads out relative changes in oxygenated versus deoxygenated blood, but the signal is contaminated whenever the subject moves or the field is non-uniform. In head-fixed preparations, even minor twitching corrupts the readout. In freely behaving animals, the problem compounds.

How SORDINO Recalibrates the Gradient

The fix is structural. SORDINO keeps the overall strength of the scanner's magnetic gradients nearly constant while smoothly rotating their direction, then samples the signal continuously through those gradual transitions. Shih frames the logic with a clock analogy: conventional ZTE methods operate like a second hand that ticks from one position to the next, while SORDINO behaves like a modern second hand moving smoothly and continuously around the dial. Nothing jumps. Nothing slams. Because no component switches abruptly at any single moment, the hardware-induced noise floor drops.

The downstream consequence is time accounting. By minimizing the interval required to prepare functional contrast — the signal difference between an active and resting brain region — SORDINO extends the window available for actual recording. The UNC-CH team validated the approach by mapping brain-wide activity in rodents performing behavioral tasks, reported Medical Xpress.

Parameters to Verify Before Adoption

For circuit-mapping labs evaluating whether to integrate the method, four parameters will determine its real-world utility:

  • Gradient smoothness stability across long behavioral sessions
  • Functional contrast preparation time, benchmarked against standard EPI
  • Compatibility with existing paradigms: locomotion, sensory tasks, social interaction
  • Translation to smaller-brained preparations, including larval zebrafish, where signal-to-noise constraints differ from rodent cortex

Until independent groups reproduce those numbers, treat the UNC-CH demonstration as a calibration target rather than an established standard.