Before revision:  With the help of  functional networks, neural decoding, and deep learning based multi-voxel pattern analysis (MVPA) of individual cognitive component , we arrived at the conclusion that  core affect is unable to provide varieties of emotions unless coupled with cortical cognitive functions such as autobiographical memory, dmn, self-referential, social, tom and salient event detection.
After revision:  With the help of functional networks, we have decoded cognitive functions for 12 different basic and complex emotion conditions. Using transfer learning in deep neural architecture , we arrived at the conclusion that core affect is unable to provide varieties of emotions unless coupled with cortical cognitive functions such as autobiographical memory, dmn, self-referential, social, tom and salient event detection.