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An opportunity to increase collaborative science in fetal, infant, and toddler neuroimaging

      The field of fetal, infant, and toddler (FIT) neuroimaging research—including magnetic resonance imaging (MRI), electroencephalography (EEG), magnetoencephalography (MEG), and functional near-infrared spectroscopy (fNIRS) among others—offers pioneering insights into early brain development and has grown in popularity over the past two decades. In broader neuroimaging research, multisite collaborative projects, data sharing, and open-source code have increasingly become the norm, fostering ''big data'', consensus standards, and rapid knowledge transfer and development. Given the aforementioned benefits, along with recent initiatives from funding agencies to support multisite and multimodal FIT neuroimaging studies, the FIT field now has the opportunity to establish sustainable, collaborative, and open science practices. By combining data and resources, we can tackle the most pressing issues of the FIT field, including small effect sizes, replicability problems, generalizability issues, and the lack of field standards for data collection, processing, and analysis—together. Thus, the goal of this commentary is to highlight some of the potential barriers that have waylaid these efforts, and discuss the emerging solutions that have the potential to revolutionize how we work together to study the developing brain early in life.
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