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001053974 005__ 20260203091017.0
001053974 0247_ $$2doi$$a10.1101/2025.08.12.669812
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001053974 1001_ $$0P:(DE-Juel1)195707$$aTsigaras, Thanos$$b0$$eFirst author$$ufzj
001053974 245__ $$aDisentangling the influences of pre- and postnatal periods on human cortical microstructure
001053974 260__ $$aCold Spring Harbor$$bCold Spring Harbor Laboratory, NY$$c2025
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001053974 520__ $$aDuring late gestation and early postnatal development a combination of intrinsic and extrinsic factors drive the maturation of the human cortex. This process is regionally heterogeneous, with cortical areas developing at different paces and trajectories. Leveraging submillimetre T1-weighted/T2w-weighted (T1w/T2w) magnetic resonance imaging (MRI) from pre- and full-term neonates (n = 599, 0-7 weeks), we sampled intracortical microstructure profiles across the cortex and characterised the profiles’ shapes according to their central moments. We found that gestational age at birth dominated the effects on early cortical development, with significant, global increases in microstructural density, increasing intracortical homogeneity and a bimodal change of the microstructural balance between superficial and deeper cortical layers. On the other hand, weeks since birth (i.e. postnatal age) exhibited different effects on microstructure, with density increasing at a slower pace, increasing intracortical heterogeneity, and intracortical balance only shifting towards deeper layers in posterior temporal, occipital, medial parietal areas and some prefrontal areas. These effects align with low spatial-frequency geometric eigenmodes of the human cortex, specifically the anterior-posterior, superior-inferior and central-polar axes. Our findings demonstrate that separating prenatal from postnatal influences, and analysing intracortical profiles rather than macroscale features, provides finer-grained insights into how human cortical microstructure changes during perinatal development and lays the groundwork for investigating the biological underpinnings that govern normative cortical maturation.
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001053974 536__ $$0G:(GEPRIS)524408221$$aDFG project G:(GEPRIS)524408221 - Mikrostrukturelle Entwicklung des Gehirns: Den Ursprüngen höherer menschliche Kognition auf der Spur (524408221)$$c524408221$$x1
001053974 588__ $$aDataset connected to CrossRef
001053974 7001_ $$0P:(DE-Juel1)177772$$aDukart, Juergen$$b1
001053974 7001_ $$0P:(DE-HGF)0$$aOldham, Stuart$$b2
001053974 7001_ $$0P:(DE-Juel1)131678$$aEickhoff, Simon B$$b3$$ufzj
001053974 7001_ $$0P:(DE-Juel1)187055$$aPaquola, Casey$$b4$$eCorresponding author$$ufzj
001053974 773__ $$0PERI:(DE-600)2766415-6$$a10.1101/2025.08.12.669812$$tbioRxiv beta$$y2025
001053974 8564_ $$uhttps://www.biorxiv.org/content/10.1101/2025.08.12.669812v1.full
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001053974 9101_ $$0I:(DE-HGF)0$$6P:(DE-HGF)0$$a Monash University$$b2
001053974 9101_ $$0I:(DE-HGF)0$$6P:(DE-HGF)0$$a Murdoch Children’s Research Institute$$b2
001053974 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)131678$$aForschungszentrum Jülich$$b3$$kFZJ
001053974 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)187055$$aForschungszentrum Jülich$$b4$$kFZJ
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001053974 920__ $$lyes
001053974 9201_ $$0I:(DE-Juel1)INM-7-20090406$$kINM-7$$lGehirn & Verhalten$$x0
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