What are the current brain scanning technologies? What are they used for?

First definition: brain scanning technology. I'll use the word Neuroimaging instead. It's called neuroimaging, which is based on the quantitative records of all aspects of the brain by various instruments. Static imaging of the brain mainly includes CT, MRI and PET, while dynamic imaging of the brain includes magnetoencephalography, electroencephalography, NIRS and fMRI. Do your own magnetic * * * vibration, mainly talk about magnetic * * * vibration. Magnetic vibration is the most popular research tool in recent years, and its main advantages are: non-invasive, non-radiation, high spatial resolution, high time resolution, and multi-modal can be completed on the same machine. The so-called multi-modality is a variety of imaging that can be realized by a magnetic vibrator: sMRs-structural MRI, imaging brain structure, white matter, gray matter and cerebrospinal fluid. Dmri: dMRI:d-diffusion MRI, which quantitatively measures the direction and integrity of white matter fibers in the brain; Fmri: fMRI:f-functional MRI, which records the BOLD signal when the brain performs a task. Resting fMRI is scanned by the same procedure as fMRI, except that the subjects are asked not to do any special thinking activities at this time, which is considered to be spontaneous neural activities in the brain as a response. Our group mainly uses MRI to do some psychological or psychological things. Now an idea is that the structure of the brain (static) can also reflect the different personalities and behaviors of different individuals. The latest article published in JAMA Psychaitry found that the more time you watch porn every week, the smaller the caudate nucleus, and the related neural network changes linearly. These affected areas were mainly addictive in previous studies. You may not have thought that there have been many studies on brain decoding (what scientists are doing, you can't see it in the dark). These studies mainly use the method of machine learning. This breakthrough research was completed by hax Bi and his colleagues in 200 1 year. They used the algorithm of fMRI combined with machine learning. It is realized to predict whether the object sees a face or a house, a cat or a shoe in the MRI scanner ... In 2005, Kamitani and Tong used fMRI to decode the direction of the grating seen by the subject.