Abstract Details

Title Early detection of mild cognitive impairment (MCI) using MEG

Topic Aging, Dementia, and Behavioral Neurology

Presentation(s) P11 - Poster Session 11 (11:45 AM-12:45 PM)

Poster/Presentation
Number 7-005

Objective Use MEG to detect imaging bio markers for mild cognitive impairment

Background Alzheimer’s Disease (AD) is a type of dementia that effects 50 million people worldwide. This is a progressive disease that affects memory loss and cognitive dysfunction. Magnetoencephalography (MEG) is a noninvasive functional brain imaging technique that measures the magnetic brain waves arising from neuronal activity during rest or during a cognitive task. MEG may help detect AD in its early stages, when confusion first starts to happen.

Design/Methods Resting state MEG data from 20 patients with mild cognitive impairment were compared to 20 control subjects. MEG data were filtered into 4 different frequency bands: theta 4-7Hz, alpha 8-13HZ, beta 14-30Hz, and gamma 30-85 Hz. Network brain activity for each frequency band was mapped for the strength of connectivity across 27 regions in each hemisphere, resulting in 1431 pairings in the brain. Only the most statistically significant connections between the control group and the patient group where further analyzed, these were based on a p-value of less than 0.05.

Results Patients with MCI had more hyperexcited/coherent activity in the default mode network compared to controls. The two most statistically significant pathways differences in the beta band frequency were found in the frontal to occipital and frontal to temporal connections.

Conclusions

MEG was able to detect clear differences in active networks during rest in patients with MCI compared to controls. This will have future applications to improve or tailor treatments during the early diagnosis of dementia. Our next step will be to determine the identification of AD network differences from MCI.

Authors/Disclosures
Mouhamad Hammami PRESENTER	Mr. Hammami has nothing to disclose.
Fernando Maestu	Fernando Maestu has nothing to disclose.
	No disclosure on file
Susan M. Bowyer, PhD (Henry Ford Hospital)	Dr. Bowyer has nothing to disclose.