Contextual Minimum-Norm Estimates (CMNE): A Deep Learning Method for Source Estimation in Neuronal Networks

no code implementations • 5 Sep 2019 • Christoph Dinh, John GW Samuelsson, Alexander Hunold, Matti S Hämäläinen, Sheraz Khan

We demonstrate that these contextual algorithms can be used for predicting activity based on previous brain states and when used in conjunction with MNE, they lead to more accurate source estimation.

EEG

Maturation Trajectories of Cortical Resting-State Networks Depend on the Mediating Frequency Band

no code implementations • 13 Feb 2018 • Sheraz Khan, Javeria Hashmi, Fahimeh Mamashli, Konstantinos Michmizos, Manfred Kitzbichler, Hari Bharadwaj, Yousra Bekhti, Santosh Ganesan, Keri A Garel, Susan Whitfield-Gabrieli, Randy Gollub, Jian Kong, Lucia M Vaina, Kunjan Rana, Steven Stufflebeam, Matti Hamalainen, Tal Kenet

Resting state networks are known to undergo substantial reorganization from childhood to adulthood, but whether distinct cortical rhythms, which are generated by separable neural mechanisms and are often manifested abnormally in psychiatric conditions, mediate maturation differentially, remains unknown.