EEG

Contact:
                                                 

Carina Graversen              Dina Lelic                          Mads Jochumsen                   Mikkel Gram

The EEG analysis group works with advanced multi-channel EEG analysis for pain research.

Scope of the group:

• Identify EEG biomarkers to describe diseases and effect of drugs.
• Develop the ultimate pain model including spinal activation.

Methods developed and used in the group:

• Brain source localization was developed to study brain activation sequence due to pain and opioids in healthy and diseased subjects.
• Pattern recognition was developed to discriminate conditions for patients/controls or drug responses, which might in the future guide diagnosis and optimized treatment of patients in the clinic.

Previous research:

• EEG assessment of traces (amplitude, latency and frequency distribution) in chronic pancreatitis, viscero-visceral hyperalgesia, diabetes, DNIC, morphine, eosinophil oesophagitis, and Barrett’s oesophagus. 
• Brain source localization in chronic pancreatitis patients, type-1 diabetes patients, DNIC activation and after morphine administration.

Ongoing research:

• Classification and source localization in volunteers before and after morphine administration, to investigate if objective tools can predict the effect of morphine and identify differences/similarities in brain activation between morphine and placebo effect.
• Classification and source localization in diabetes patients to explore abnormalities in brain processing in patients with neuropathic pain.
• Development of the ultimate pain model based on source localization of EEG recordings combined with spinal evoked potentials recorded from epidural electrodes in the spinal cord.

Collaborators:

• Center for Sensory-Motor Interaction (SMI), Aalborg University, Aalborg, Denmark.
• Haukeland University Hospital, Bergen, Norway.
• Universiteta Cattolica del Sacro Cuore, Rome, Italy.
• Smerteklinikken, Aalborg, Denmark.

Key references:

1. Lelic D, Gratkowski M, Valeriani M, rendt-Nielsen L, Drewes AM. Inverse modeling on decomposed electroencephalographic data: a way forward?  J. Clin. Neurophysiol., 2009; 26: 227-35.
2. Sharma A, Lelic D, Brock C, Paine P, Aziz Q. New technologies to investigate the brain-gut axis. World J. Gastroenterol., 2009; 15: 182-91.