Marschik Peter B, Pokorny Florian B, Peharz Robert, Zhang Dajie, O'Muircheartaigh Jonathan, Roeyers Herbert, Bölte Sven, Spittle Alicia J, Urlesberger Berndt, Schuller Björn, Poustka Luise, Ozonoff Sally, Pernkopf Franz, Pock Thomas, Tammimies Kristiina, Enzinger Christian, Krieber Magdalena, Tomantschger Iris, Bartl-Pokorny Katrin D, Sigafoos Jeff, Roche Laura, Esposito Gianluca, Gugatschka Markus, Nielsen-Saines Karin, Einspieler Christa, Kaufmann Walter E
Research Unit iDN-interdisciplinary Developmental Neuroscience, Institute of Physiology, Center for Physiological Medicine, Medical University of Graz, Harrachgasse 21/5, 8010, Graz, Austria.
Center of Neurodevelopmental Disorders (KIND), Department of Women's and Children's Health, Karolinska Institutet, Stockholm, Sweden.
Curr Neurol Neurosci Rep. 2017 May;17(5):43. doi: 10.1007/s11910-017-0748-8.
Substantial research exists focusing on the various aspects and domains of early human development. However, there is a clear blind spot in early postnatal development when dealing with neurodevelopmental disorders, especially those that manifest themselves clinically only in late infancy or even in childhood.
This early developmental period may represent an important timeframe to study these disorders but has historically received far less research attention. We believe that only a comprehensive interdisciplinary approach will enable us to detect and delineate specific parameters for specific neurodevelopmental disorders at a very early age to improve early detection/diagnosis, enable prospective studies and eventually facilitate randomised trials of early intervention. In this article, we propose a dynamic framework for characterising neurofunctional biomarkers associated with specific disorders in the development of infants and children. We have named this automated detection 'Fingerprint Model', suggesting one possible approach to accurately and early identify neurodevelopmental disorders.
目前存在大量针对人类早期发育各个方面和领域的研究。然而，在处理神经发育障碍时，尤其是那些仅在婴儿晚期甚至儿童期才出现临床症状的神经发育障碍，出生后早期发育存在明显的研究盲点。
这个早期发育阶段可能是研究这些疾病的重要时间框架，但历史上受到的研究关注要少得多。我们认为，只有采用全面的跨学科方法，才能在非常早期阶段检测和界定特定神经发育障碍的具体参数，以改善早期检测/诊断，开展前瞻性研究，并最终促进早期干预的随机试验。在本文中，我们提出了一个动态框架，用于表征与婴幼儿发育中特定疾病相关的神经功能生物标志物。我们将这种自动检测命名为“指纹模型” , 这是一种准确、早期识别神经发育障碍的可能方法。
