Maternal, Newborn, and Child Health Discovery & Tools, Bill & Melinda Gates Foundation, 500 5th Ave, Seattle, WA, 98109, USA.
Advanced Baby Imaging Lab, Rhode Island Hospital, Providence, RI, USA.
Brain Struct Funct. 2023 Mar;228(2):493-509. doi: 10.1007/s00429-022-02595-7. Epub 2022 Nov 9.
Consumer wearables and health monitors, internet-based health and cognitive assessments, and at-home biosample (e.g., saliva and capillary blood) collection kits are increasingly used by public health researchers for large population-based studies without requiring intensive in-person visits. Alongside reduced participant time burden, remote and virtual data collection allows the participation of individuals who live long distances from hospital or university research centers, or who lack access to transportation. Unfortunately, studies that include magnetic resonance neuroimaging are challenging to perform remotely given the infrastructure requirements of MRI scanners, and, as a result, they often omit socially, economically, and educationally disadvantaged individuals. Lower field strength systems (< 100 mT) offer the potential to perform neuroimaging at a participant's home, enabling more accessible and equitable research. Here we report the first use of a low-field MRI "scan van" with an online assessment of paired-associate learning (PAL) to examine associations between brain morphometry and verbal memory performance. In a sample of 67 individuals, 18-93 years of age, imaged at or near their home, we show expected white and gray matter volume trends with age and find significant (p < 0.05 FWE) associations between PAL performance and hippocampus, amygdala, caudate, and thalamic volumes. High-quality data were acquired in 93% of individuals, and at-home scanning was preferred by all individuals with prior MRI at a hospital or research setting. Results demonstrate the feasibility of remote neuroimaging and cognitive data collection, with important implications for engaging traditionally under-represented communities in neuroimaging research.
消费者可穿戴设备和健康监测器、基于互联网的健康和认知评估以及家庭生物样本(例如唾液和毛细血管血)采集套件越来越多地被公共卫生研究人员用于基于人群的大型研究,而无需进行密集的面对面访问。除了减少参与者的时间负担外,远程和虚拟数据收集还允许居住在远离医院或大学研究中心的人、或交通不便的人参与研究。不幸的是,由于磁共振成像扫描仪的基础设施要求,包括磁共振神经影像学的研究具有挑战性,并且因此,它们经常排除社会、经济和教育条件不利的人群。低场强系统(<100mT)具有在参与者家中进行神经影像学检查的潜力,从而使研究更具可及性和公平性。在这里,我们报告了首次使用低场 MRI“扫描车”与在线配对联想学习(PAL)评估相结合,以检查大脑形态与言语记忆表现之间的关联。在一个 67 人的样本中,年龄在 18-93 岁之间,在其家中或附近进行成像,我们显示了与年龄相关的预期白质和灰质体积趋势,并发现 PAL 表现与海马体、杏仁核、尾状核和丘脑体积之间存在显著关联(p<0.05 FWE)。93%的个体获得了高质量的数据,并且所有在医院或研究机构进行过 MRI 的个体都更喜欢在家中进行扫描。结果表明远程神经影像学和认知数据收集是可行的,这对于让传统上代表性不足的社区参与神经影像学研究具有重要意义。