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Hence, quantitative assessment of structural connectivity in the perinatal stage is useful for studying normal and abnormal neurodevelopment. However, estimation of the connectome from diffusion MRI data involves complex computations. For the perinatal period, these computations are further challenged by the rapid brain development, inherently low signal quality, imaging difficulties, and high inter\u2010subject variability. These factors make it difficult to chart the normal development of the structural connectome. As a result, there is a lack of reliable normative baselines of structural connectivity metrics at this critical stage in brain development. In this study, we developed a computational method based on spatio\u2010temporal averaging in the image space for determining such baselines. We used this method to analyze the structural connectivity between 33 and 44 postmenstrual weeks using data from 166 subjects. 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The new computational method and results of this study can be useful for assessing normal and abnormal development of the structural connectome early in life.<\/jats:p>","DOI":"10.1002\/hbm.26784","type":"journal-article","created":{"date-parts":[[2024,7,20]],"date-time":"2024-07-20T05:15:35Z","timestamp":1721452535000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Characterizing normal perinatal development of the human brain structural connectivity"],"prefix":"10.1002","volume":"45","author":[{"ORCID":"https:\/\/orcid.org\/0009-0007-2277-8365","authenticated-orcid":false,"given":"Yihan","family":"Wu","sequence":"first","affiliation":[{"name":"Computational Radiology Laboratory (CRL), Department of Radiology Boston Children's Hospital, and Harvard Medical School  Boston Massachusetts 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