Human Brain Imaging for Cognitive Neuroscience

Abstract

In this chapter, a brief background of neuroimaging a human brain by data acquisition and preprocessing is provided. Neuroimaging is a medical imaging process that uses various cutting-edge technologies with artificial intelligence and machine learning to produce a clear and specific image of the brain in a non-invasive manner. Neuroimaging methods such as EEG, CT, and MRI allow researchers to directly observe brain activities from different perspectives. Data acquisition and preprocessing are essential steps in the data analysis and machine learning pipeline. They involve collecting, cleaning, and preparing raw data for further analysis or modeling. These steps are used in noise reduction, sharpening, or brightening an image, and contrast enhancement, color correction, makes it easier to identify the key features. By combining functional brain imaging with sophisticated experimental designs, data analysis methods and machine learning algorithms, functions of brain regions and their interactions can be examined and further how the neurodegenerative diseases are diagnosed.