Sleep‐dependent structural neuroplasticity after a spatial navigation task: A diffusion imaging study

神经可塑性 磁共振弥散成像 神经科学 神经突 海马结构 睡眠(系统调用) 心理学 医学 磁共振成像 生物 放射科 计算机科学 生物化学 体外 操作系统
作者
Thomas Villemonteix,Michele Guerreri,Michele Deantoni,Evelyne Balteau,Christina Schmidt,Whitney Stee,Hui Zhang,Philippe Peigneux
出处
期刊:Journal of Neuroscience Research [Wiley]
卷期号:101 (7): 1031-1043 被引量:6
标识
DOI:10.1002/jnr.25176
摘要

Abstract Evidence for sleep‐dependent changes in microstructural neuroplasticity remains scarce, despite the fact that it is a mandatory correlate of the reorganization of learning‐related functional networks. We investigated the effects of post‐training sleep on structural neuroplasticity markers measuring standard diffusion tensor imaging (DTI), mean diffusivity (MD), and the revised biophysical neurite orientation dispersion and density imaging (NODDI), free water fraction (FWF), and neurite density (NDI) parameters that enable disentangling whether MD changes result from modifications in neurites or in other cellular components (e.g., glial cells). Thirty‐four healthy young adults were scanned using diffusion‐weighted imaging (DWI) on Day1 before and after 40‐min route learning (navigation) in a virtual environment, then were sleep deprived (SD) or slept normally (RS) for the night. After recovery sleep for 2 nights, they were scanned again (Day4) before and after 40‐min route learning (navigation) in an extended environment. Sleep‐related microstructural changes were computed on DTI (MD) and NODDI (NDI and FWF) parameters in the cortical ribbon and subcortical hippocampal and striatal regions of interest (ROIs). Results disclosed navigation learning‐related decreased DWI parameters in the cortical ribbon (MD, FWF) and subcortical (MD, FWF, NDI) areas. Post‐learning sleep‐related changes were found at Day4 in the extended learning session (pre‐ to post‐relearning percentage changes), suggesting a rapid sleep‐related remodeling of neurites and glial cells subtending learning and memory processes in basal ganglia and hippocampal structures.
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