TY - GEN
T1 - Synchronisation likelihood analysis of the effects of age on the brain
AU - Shumbayawonda, Elizabeth
AU - Fernandez, Alberto
AU - Hughes, Michael Pycraft
AU - Abasolo, Daniel
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/12/21
Y1 - 2017/12/21
N2 - The evaluation of healthy ageing of the brain could help create a fingerprint of normal ageing that might assist in the early diagnosis of neurodegenerative conditions. This sensor space study examined changes in resting state magnetoencephalograms generalised synchronisation (using synchronisation likelihood (SL)), due to age, in a sample of 220 healthy participants (98 males and 122 females, aged between 7 and 84). Results showed that females had higher SL values than males, however, a nonlinear relationship between SL and age was observed for both genders. Additionally, statistically significant effects of age were observed over all regions of the brain for both genders.
AB - The evaluation of healthy ageing of the brain could help create a fingerprint of normal ageing that might assist in the early diagnosis of neurodegenerative conditions. This sensor space study examined changes in resting state magnetoencephalograms generalised synchronisation (using synchronisation likelihood (SL)), due to age, in a sample of 220 healthy participants (98 males and 122 females, aged between 7 and 84). Results showed that females had higher SL values than males, however, a nonlinear relationship between SL and age was observed for both genders. Additionally, statistically significant effects of age were observed over all regions of the brain for both genders.
KW - ageing
KW - magnetoencephalogram
KW - sensor space analysis
KW - synchronization likelihood
UR - http://www.scopus.com/inward/record.url?scp=85044332111&partnerID=8YFLogxK
U2 - 10.1109/ICSENS.2017.8234167
DO - 10.1109/ICSENS.2017.8234167
M3 - Conference contribution
AN - SCOPUS:85044332111
T3 - Proceedings of IEEE Sensors
SP - 1
EP - 3
BT - IEEE SENSORS 2017 - Conference Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 16th IEEE SENSORS Conference, ICSENS 2017
Y2 - 30 October 2017 through 1 November 2017
ER -