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Decoding Visual Pathway Dysfunction with SERF-MEG: A Study in Patients with Optic Neuropathy.

Helei Wang1,2, Yuankun Qi1,2, Yu Lou1,2

  • 1School of Instrumentation and Optoelectronic Engineering, Beihang University, Beijing 100191, China.

Bioengineering (Basel, Switzerland)
|June 26, 2026
PubMed
Summary
This summary is machine-generated.

Spin-exchange relaxation-free magnetoencephalography (SERF-MEG) reveals significant cortical dysfunction and network reorganization after optic nerve injury. This advanced imaging technique shows promise as a sensitive biomarker for diagnosing and monitoring neuro-ophthalmological disorders.

Keywords:
SERF-MEGfunctional connectivitygraph theoryoptic nerve injuryvisual cortexvisual evoked responses

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Area of Science:

  • Neuroscience
  • Biomagnetism
  • Ophthalmology

Background:

  • Optic nerve injury leads to cortical dysfunction and network alterations.
  • Current diagnostic tools for neuro-ophthalmological disorders may lack sensitivity.
  • Magnetoencephalography (MEG) offers a non-invasive method to assess brain function.

Purpose of the Study:

  • To characterize cortical dysfunction and network reorganization after optic nerve injury using SERF-MEG.
  • To evaluate MEG-derived multiscale features as functional biomarkers for clinical assessment.
  • To investigate the potential of SERF-MEG in diagnosing and monitoring neuro-ophthalmological conditions.

Main Methods:

  • Prospective case-control study utilizing spin-exchange relaxation-free magnetoencephalography (SERF-MEG).
  • Acquisition of SERF-MEG recordings during a pattern-reversal visual stimulation paradigm.
  • Extraction of time-domain evoked components, global electrophysiological indices, energy metrics, and phase-based functional connectivity (alpha and beta bands).
  • Quantification of network topology using graph-theoretical measures (global/local efficiency, clustering coefficient, assortativity).

Main Results:

  • Patients exhibited reduced M100/M135 amplitudes and prolonged M100 latency.
  • Significantly decreased functional connectivity in alpha and beta bands was observed.
  • Reduced global and local network efficiency, mean strength, and clustering coefficient were noted.
  • Seed-based analysis indicated reduced connectivity in occipito-parietal and occipito-temporal pathways.

Conclusions:

  • SERF-MEG effectively identifies cortical and network-level functional impairments post-optic nerve damage.
  • MEG demonstrates significant clinical potential for disease diagnosis and therapy monitoring.
  • SERF-MEG offers a novel, objective assessment tool for neuro-ophthalmological disorders.