Just familiar with this field, I found the original text of this study, and evaluated the hypothesis of left brain and right brain by resting state functional connection magnetic resonance imaging. In this study, some hypotheses are confirmed by relatively novel and popular network model and magnetic vibration technology. The paper was eye-catching, so it quickly caught the media. It was released in mid-August and has been viewed hundreds of thousands of times.
Simply put, this study takes a magnetic vibration database of brain structure and static magnetic vibration of more than 1000 people (not specifically the brain activities collected when the brain thinks). Firstly, the gray matter of the brain is divided into 7266 regions, and the correlation between them is calculated. Generally speaking, if area A and area B are almost active at the same time, it may contain such information: both areas are involved in the current psychological activities (whether looking at pictures, remembering, resting, etc. ).
Extract such regions in the left hemisphere/right hemisphere respectively and then use something called lateralization index, which is (| left |-| right | state)/(| left |+| right | state). After calculating all the regions, a graph of "A region and B region in the left/right hemisphere are highly correlated" is obtained. On the basis of lateralization, we use graph theory to find the center of each hemisphere, and find that the "center" is located in several areas of the default network and language network on the left, and the attention network on the right.