| The human brain as the central body of wisdom and consciousness,is the most important and mysterious.With the deepening of research,the researchers found that the working model of the human brain is not independent,individual,but systematic and networked.As the most complex organ in the human body,its complexity is not only reflected in the hundreds of millions of neurons in the brain,but also in the very complex interactions between neurons.Exploring the long-term interactions between neurons on different time and space scales is an important issue in human brain research.In recent years,some neuroscientists formally proposed the concept of human Brain atlas,trying to describe the human brain from macroscopic to microscopic map in a complete and accurate way on different scales,and deeply excavate the potential interaction patterns under the interaction of brain regions.This paper basing on the diffusion magnetic resonance image data uses the connection mode to construct and verify the parcellations template of the supraorbital sulcus of the human brain.Finally,the resulting the template was used to analyze and verify the lateralization phenomenon and applied to the study of differential attributes of autism brain networks.The study provided a new perspective for understanding the anatomy and functional organization of the posterior superior sulcus region.At the same time,it provides new methods and ideas for the study of lateralization and autism,and has important theoretical value and clinical significance.The main innovations in this article include:(1)Propose a posterior temporal sulcus segmentation template and its verification based on connection mode methodThe segmentation method based on connection mode can reflect the connection information of brain regions and has strong verifiability.Therefore,more and more researchers recognized and applied the method.In this paper,the method is used to segment the posterior temporal sulcus brain region for diffusion tensor imaging data.Firstly,the probabilistic tracking method is used for the connection calculation,and then clusters the voxels to realize template segmentation by the k-means clustering algorithm.Afterwards,this paper uses three methods to verify the segmentation template.The results show that the segmented subregions have specific anatomical and functional connection patterns.The segmentation template on the research gets a better understanding of the functional organization of the posterior temporal sulcus brain region and also provides new insights for information exchange and integration on the sub-district level.(2)Analyze and verify the lateralization using the posterior temporal sulcus segmentation templateLateralization of the brain are generally considered brain hemisphere or other brain regions different in structure from the other side of the symmetric regions,or perform a set of different functions.Studies have shown that the posterior temporal sulcus brain region appears obvious lateralization when it participates in tasks such as language processing,speech processing,spatial positioning,and social tasks.In this paper,the above segmentation template is used to study the activation and lateralization problem of different sub-regions on the posterior temporal sulcus brain region involved in different tasks,and found functional connection related to the lateralization on the posterior temporal sulcus brain region.The result provided evidences for the study on the relationship between the connected mode and functional characteristics on the posterior temporal sulcus brain region,and also provided a new perspective and idea to interpret mechanism of the laterality.(3)Using the posterior temporal sulcus segmentation template to analyze and classify abnormal topological attributes of brain network in autistic patientsAutism is a developmental disorder of the nervous system.Pathological studies have shown that the pathogenesis of autism is closely related to the posterior temporal sulcus brain region.In recent years,the emergence of brain networks has provided a new perspective for the diagnosis and therapeutic evaluation of autism,and the intuitive description of the dynamic interaction and integration of brain neurons,neuron clusters,or brain regions.In this paper,we use the posterior temporal sulcus segmentation template to construct the minimum spanning tree brain network and analyze the abnormal topological attributes in different age groups,and also consider the discovered anomalous attributes as classification features to conduct a classification study.The results show that the template used in this paper can capture the significant difference area more accurately,and help the comparison between the above networks with the traditional template.This result validates the reliability of the segmented template from another perspective and provides new methods and important auxiliary tools for imaging analysis and assisted diagnosis of autism patients at different ages.Related research on brain map is a multidisciplinary combination of computer science,information science,neuroscience and clinical medicine,as well as a long-span comprehensive crossover study.This study was supported by the Natural Science Foundation of China(Grant Nos.91432302).The research closely revolves around brain map,an international hot front research field,using the diffusion magnetic resonance imaging data tightly and using the connection mode method to divide the posterior temporal sulcus brain region,and the segmentation results were verified in the lateralization and the brain network abnormality of the autistic patients.This is not only an international frontier scientific problem,but also a major national demand. |
