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MEG-Derived Symptom-Sensitive Biomarkers with Long-Term Test-Retest Reliability.

Don Krieger1, Paul Shepard2, Ryan Soose3

  • 1Department of Neurological Surgery, University of Pittsburgh, Pittsburgh, PA 15217, USA.

Diagnostics (Basel, Switzerland)
|January 21, 2022
PubMed
Summary
This summary is machine-generated.

Magnetoencephalography (MEG) measures show reliable brain activity tracking for traumatic brain injury (TBI) patients. These neuroelectric signals accurately detect TBI symptoms, aiding diagnosis and treatment.

Keywords:
CamCANTEAM-TBIanxietydepressioninsomniaocularpainpost-concussion syndromesleep disordersomatizationtest-retest reliabilityvestibular

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Area of Science:

  • Neuroscience
  • Biomedical Engineering
  • Clinical Neurology

Background:

  • Chronic sequelae of traumatic brain injury (TBI) present diagnostic and treatment challenges.
  • Magnetoencephalography (MEG) offers potential for objective neuroelectric measures.
  • Previous MEG studies lacked sufficient test-retest reliability and sensitivity.

Purpose of the Study:

  • To evaluate the long-term test-retest reliability of novel MEG-derived regional brain measures.
  • To assess the sensitivity of these measures to chronic symptoms in TBI patients.
  • To establish the clinical utility of these neuroelectric measures for TBI management.

Main Methods:

  • Resting-state MEG recordings from normative (CamCAN) and TBI (TEAM-TBI) cohorts.
  • Automated correction of MEG data using a random forest classifier.
  • Validation of regional neuroelectric measures against clinical symptom assessments (Brief Symptom Inventory, Insomnia Severity Index) and syndrome adjudication.

Main Results:

  • High mean 16-month test-retest reliability (correlation = 0.67) for MEG measures in the CamCAN cohort.
  • Significant sensitivity (p < 0.0003) of MEG measures to distinguish TBI patients with and without specific clinical syndromes (pain, psychological, oculomotor, vestibular, cognitive, sleep).
  • Demonstrated automatic processing of MEG data without human intervention.

Conclusions:

  • Novel MEG-derived regional neuroelectric measures exhibit robust test-retest reliability.
  • These measures are sensitive to individual symptoms and clinical syndromes in chronic TBI.
  • The findings support the clinical utility of these objective MEG measures for TBI diagnosis and monitoring.