Our next plan is to establish nonhuman primate brain atlases at three different levels. That will largely simplify AI computation and systemic structure design. It is important to uncover the false mask of the so-called high order. For instance, it has been found that, when the human brain is processing information, the high-order interactions between neurons are characterized by the second-order interactions. Revealing how human brain processes information may largely facilitate the development of AI computation. Although AI is a touted concept nowadays, challenges are everywhere including limited options of techniques for AI computation. There is tremendous amount of research that can be done on the link between brain atlas and the above-mentioned brain-inspired AI computing, which will be a research hotspot in the future. Another direction involves the use of the language- or cognition-related brain atlas in computational modeling in brain-inspired artificial intelligence (AI) studies.
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The second direction is to confirm the matching of different areas in the atlas to functional circuits of cognition such as emotion and memory and to generate brain functional atlases at different scales. The first one is about identifying the biomarkers for early diagnosis, prognosis, and therapeutic efficacy evaluation in different mental disorders based on more sophisticated atlases. To put the atlas into use, we propose three important directions for future studies on the human Brainnetome Atlas. This could be due to limited disease data and poor accuracy of brain atlases. Although having been available for more than three decades and still rapidly developing, MRI has not been adopted for clinical diagnosis criteria for brain disorders, particularly mental disorders. In this respect, magnetic resonance imaging (MRI) – the technology that existed before the atlas – has been in a dilemma for a long time. What is more, only by constantly improving the fineness and accuracy of brain atlas, can we make good use of it to identify biomarkers for mental disorders. There are still much more to do before we can finally apply it for therapies like transcranial magnetic stimulation (TMS) and deep brain stimulation (DBS).
![human brain mapping 2018 human brain mapping 2018](https://www.thescienceofpsychotherapy.com/wp-content/uploads/2018/01/bigstock-Young-Child-Brain-Concept-120976190.jpg)
However, the journey of Brainnetome Atlas is far from over. Only by constantly improving the fineness and accuracy of brain atlas, can we make good use of it to identify biomarkers for mental disorders. The unprecedented connectivity-based thought fills the gap in old-fashioned brain mapping. The recent human Brainnetome Atlas is a novel type of atlas that, unlike the ordinary ones, provides connectivity-based parcellation, with a specific focus on brain connectivity architecture. At the initial stage, researchers made endless efforts to map the brain and anatomically partition it into areas based on cytoarchitectonic information.
![human brain mapping 2018 human brain mapping 2018](https://www.nia.nih.gov/sites/default/files/styles/none/public/2018-11/sepulcre-brain-scans-cropped-400x400_0.jpg)
The study of human brain atlas can be dated back to the early of the 20 th century.