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Objective Measurement of Pain in Individuals With Cognitive Deterioration Utilizing Electroencephalography

NCT06256666 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 30

Last updated 2025-09-30

No results posted yet for this study

Summary

This research addresses the challenge of pain assessment in individuals with cognitive deterioration (CD), a common aspect of aging and various neurological conditions. Due to difficulties in self-reporting, especially in severe cases, accurate pain diagnosis and management are hindered. The study explores the use of electroencephalography (EEG) and machine learning techniques to objectively measure pain in CD patients. Utilizing a BIS device, the research aims to identify EEG markers associated with pain, comparing them with an objective PANAID scale. The study targets patients in surgical departments, providing valuable insights into enhancing pain assessment for those unable to express pain through traditional subjective scales.

Conditions

  • Cognitive Deterioration

Interventions

DEVICE

BIS Quantitative EEG

Pain assessment will be conducted before and in the postoperative period using the objective PANAID scale and, when possible, the NRS. Simultaneously, EEG recordings using the BIS (Bispectral Index) will be performed. Cognitive status will be assessed before surgery using the Pfeiffer scale

Sponsors & Collaborators

  • Istituto per la Ricerca e l'Innovazione Biomedica

    collaborator OTHER

  • Azienda USL Toscana Nord Ovest

    lead OTHER

Principal Investigators

  • Alessandro Tani, MD · Azienda USL Toscana Nord Ovest

Eligibility

Min Age
70 Years
Max Age
100 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2024-09-16
Primary Completion
2025-05-01
Completion
2025-06-08

Countries

  • Italy

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT06256666 on ClinicalTrials.gov