Liu Wenhua, Li Na, Tang Dongsheng, Qin Lang, Zhu Zhiqiang
School of Kinesiology, Shenzhen University, Shenzhen 518000, China.
Brain Imaging Research Center, Shenzhen University, Shenzhen 518000, China.
Brain Sci. 2025 Apr 25;15(5):446. doi: 10.3390/brainsci15050446.
Obesity's metabolic consequences are well documented; however, its neurobiological underpinnings remain elusive. This systematic review addresses a critical gap by synthesizing evidence on obesity-induced neuroplasticity across structural, functional, and molecular domains through advanced neuroimaging.
According to PRISMA guidelines, we systematically searched (2015-2024) across PubMed/Web of Science, employing MeSH terms: ("Obesity" [Majr]) AND ("Neuroimaging" [Mesh] OR "Magnetic Resonance Imaging" [Mesh]). A total of 104 studies met the inclusion criteria. The inclusion criteria required the following: (1) multimodal imaging protocols (structural MRI/diffusion tensor imaging/resting-state functional magnetic resonance imaging (fMRI)/positron emission tomography (PET)); (2) pre-/post-intervention longitudinal design. Risk of bias was assessed via the Newcastle-Ottawa Scale.
肥胖的代谢后果已有充分记录;然而,其神经生物学基础仍不清楚。本系统评价通过先进的神经影像学综合肥胖诱导的跨结构、功能和分子领域神经可塑性的证据,填补了这一关键空白。
根据PRISMA指南,我们在2015 - 2024年期间在PubMed/科学网进行了系统检索,使用医学主题词:(“肥胖”[主要主题词])AND(“神经影像学”[医学主题词]或“磁共振成像”[医学主题词])。共有104项研究符合纳入标准。纳入标准要求如下:(1)多模态成像方案(结构MRI/扩散张量成像/静息态功能磁共振成像(fMRI)/正电子发射断层扫描(PET));(2)干预前/后的纵向设计。通过纽卡斯尔-渥太华量表评估偏倚风险。