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Use of a Wireless Video-EEG System to Monitor Epileptiform Discharges Following Lateral Fluid-Percussion Induced Traumatic Brain Injury
09:16

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Surface EEG to Identify Cognitive Motor Dissociation After Acute Brain Injury.

Satoshi Egawa1, Nicole Casson1, Joel Neves Briard1

  • 1Department of Neurology, Columbia University Medical Center, New York, New York, U.S.A.

Journal of Clinical Neurophysiology : Official Publication of the American Electroencephalographic Society
|July 3, 2026
PubMed
Summary

Surface EEG patterns are not reliable for screening cognitive motor dissociation (CMD) in acute brain injury patients. This study found no EEG findings that accurately predict CMD, limiting its use in resource allocation for this test.

Keywords:
ACNS criteriaCMDCognitive motor dissociationComaCovert consciousnessEEG

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Area of Science:

  • Neuroscience
  • Neurology
  • Clinical Neurophysiology

Background:

  • Cognitive motor dissociation (CMD) is crucial for predicting long-term recovery after acute brain injury.
  • Current CMD testing is limited to specialized centers, necessitating exploration of accessible diagnostic tools.
  • Identifying reliable surface EEG patterns could improve CMD assessment in acute brain injury.

Purpose of the Study:

  • To determine if specific surface electroencephalogram (EEG) patterns can reliably identify cognitive motor dissociation (CMD) in patients with acute disorders of consciousness.
  • To assess the sensitivity and positive predictive value (PPV) of EEG findings for CMD to guide the use of this resource-intensive test.

Main Methods:

  • An observational cohort study involving 185 acutely brain injured patients who underwent continuous surface EEG and CMD assessments.
  • CMD was identified using a machine learning algorithm applied to EEG data during a motor command paradigm.
  • EEG interpretations by blinded electroencephalographers were analyzed for accuracy measures against CMD test results.

Main Results:

  • Out of 282 assessments, CMD was positive in 39 (14%) cases.
  • EEG findings like normal background voltage, symmetry, and continuity showed limited sensitivity (74-77%) and low PPV (9-19%) for CMD.
  • Specific EEG abnormalities, including burst suppression and epileptiform discharges, were associated with negative CMD tests.

Conclusions:

  • Surface EEG findings are not sufficiently reliable for screening cognitive motor dissociation (CMD) in patients with acute brain injury.
  • No specific EEG patterns were identified that confer a higher pretest probability for CMD.
  • The study suggests that surface EEG alone cannot effectively refine the allocation of resource-intensive CMD testing.