Clinical trial Recruiting at 2 sites Observational Ages 18 and up

Using EEG to predict postoperative delirium in neurosurgery patients

Official title: Frontal-temporal EEG During Anesthesia Recovery Predicts Postoperative Delirium in Neurosurgery: a Single-center, Prospective, Observational Study

Run by Beijing Sanbo Brain Hospital · NCT06894238 · Data updated 2026-11-12

This study is testing if monitoring brain activity with EEG can help doctors predict if adults will experience confusion after having brain surgery.

Quick facts

Study typeObservational
Ages18 Years and up
SexAll
Enrollment137 (estimated)
SponsorBeijing Sanbo Brain Hospital
Academic / other
Locations2 sites (Beijing, Beijing Municipality and 1 other locations)
StatusRecruiting
StartedMarch 1, 2025
Main results expectedMarch 1, 2026
Study endsMay 1, 2026
Registry record updatedMarch 25, 2025
Trial IDNCT06894238 on ClinicalTrials.gov

Is this trial a fit for you?

Likely a good fit

Ideal candidates are adults aged 18 and older scheduled for elective neurosurgical procedures with ASA physical status I-II.

Probably not a fit

Patients with known neurological or psychiatric disorders, preoperative cognitive impairment, or those unable to undergo EEG monitoring due to specific conditions may not benefit from this study.

A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.

What this trial studies

This observational study aims to determine if sub-hairline electroencephalography (EEG) can reliably predict postoperative delirium (POD) in adult patients undergoing elective craniotomy. Patients will have their EEG monitored during the immediate recovery phase in the ICU, focusing on specific brain regions and frequency bands. The study seeks to identify EEG parameters that correlate with the onset of POD, which is a common complication following major neurosurgery. By understanding these predictive markers, the study hopes to improve early identification and management of at-risk patients.

Why it matters

Potential benefit: If successful, this study could lead to improved early detection and management of postoperative delirium, enhancing patient outcomes and reducing healthcare costs.

How similar studies have gone: While EEG has been used in various settings, the specific application of sub-hairline EEG for predicting postoperative delirium in neurosurgical patients is largely novel and has not been extensively tested.

Who can join: the full rules

Show full inclusion / exclusion criteria
Inclusion Criteria:

* Age ≥ 18 years
* Planned elective neurosurgical surgery
* ASA physical status I-II
* Signed informed consent

Exclusion Criteria:

* Known neurological or psychiatric disorders (e.g., epilepsy, Parkinson's disease)
* Preoperative cognitive impairment (MMSE score \< 24)
* Long-term use of central nervous system drugs (e.g., antidepressants, antipsychotics)
* Language barriers
* History of craniotomy within the last 12 months
* Inability to place frontal-temporal electrodes due to conditions such as frontal skin injury, severe agitation, or a coronal incision for surgery
* Pregnant or breastfeeding women

Where it's running

  • Beijing Sanbo Brain Hospital, Capital Medical University
    Beijing, Beijing Municipality, China
    Recruiting
  • Sanbo Brain Hospital, Captial Medical Universtiy
    Beijing, Beijing Municipality, China
    Recruiting

Study contacts

Similar studies

Other studies for the same condition or treatment. Recruiting studies are listed first.

How to take part

  1. Review the eligibility criteria above with your treating physician.
  2. Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
  3. Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.
Last reviewed 2026-11-14 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.