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It is present at the turning point between non\u2010sensory driven spontaneous networks and cortical network functioning. Despite its clinical importance, the underlying mechanisms responsible for this spontaneous nested activity and its functional role have not yet been determined. The coupling between neural oscillations at different timescales is a key feature of ongoing neural activity, the characteristics of which are determined by the network structure and dynamics. The underlying mechanisms of cross\u2010frequency coupling (CFC) are associated with several putative functions in adults. In order to show that this generic mechanism is already in place early in the course of development, we analyzed electroencephalography recordings from sleeping preterm newborns (24\u201327 wGA). Employing cross\u2010frequency phase\u2013amplitude coupling analyses, we found that TTAs were orchestrated by the SWs defined by a precise temporal relationship. Notably, TTAs were synchronized to the SW trough, and were suppressed during the SW peak. Spontaneous endogenous TTA\u2010SWs constitute one of the very early signatures of the developing temporal neural networks with key functions, such as language and communication. The presence of a fine\u2010tuned relationship between the slow activity and the TTA in premature neonates emphasizes the complexity and relative maturity of the intimate mechanisms that shape the CFC, the disruption of which can have severe neurodevelopmental consequences.<\/jats:p>","DOI":"10.1002\/hbm.25150","type":"journal-article","created":{"date-parts":[[2020,7,30]],"date-time":"2020-07-30T12:04:07Z","timestamp":1596110647000},"page":"4691-4703","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":24,"title":["The intimate relationship between coalescent generators in very premature human newborn brains: Quantifying the coupling of nested endogenous oscillations"],"prefix":"10.1002","volume":"41","author":[{"given":"Sahar","family":"Moghimi","sequence":"first","affiliation":[{"name":"Electrical Engineering Department Ferdowsi University of Mashhad  Iran"},{"name":"Rayan Center for Neuroscience and Behavior Ferdowsi 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