Abstract：
BACKGROUND: Hippocampal formation atrophy is a well-established imaging biomarker of several neurological diseases, including Alzheimer\'s disease, temporal lobe epilepsy, and schizophrenia. The hippocampus is divided into subfields that have different functions and vary in sensitivity to different diseases. This study investigates the potential interaction between COVID-19 and the various hippocampus subfields, which may shed light on the long-term neurological consequences of the virus.
METHODS: We obtained high-resolution T1-weighted (T1w) and T2-weighted (T2w) MRI images using 7T scanners located at three sites in two countries: Pittsburgh (n = 14) and Texas (San Antonio and Houston) (n = 40) in the USA, and Nottingham, UK (n = 33). We evaluated the hippocampus subfields using the ASHS package [1-3]. Imaging sets of 51 subjects with minimal or no manual segmentation corrections (Figures 1 and 2) were included in the analysis. We conducted T-tests with Bonferroni correction, adjusting for age and intracranial volume to identify the differences in hippocampus subfield volumes across groups.
RESULTS: Participants who needed admission into the ICU due to Covid-19 showed a significantly lower (p-value = 0.0034) left CA1 volume compared to participants who did not require ICU (Figure 3). In addition, several other non-significant trends were observed.
CONCLUSIONS: Our preliminary findings suggest that Covid-19 may impact the hippocampus, particularly in patients who required intensive care. However, the study - as of to date - has a small sample size and lacks a comparison group with patients who were admitted into ICU for acute illnesses other than Covid-19. Additionally, longitudinal data is needed to track the long-term effects of the disease on the hippocampal subfields.
BACKGROUND: NIH R56AG074467, R01MH111265 and R01AG063525 References: 1. Berron et al. Neuroimage 2017 2. Yushkevich et al. Human Brain Mapping 2015 3. Santini et al. Neuroimage: clinical 2021.
METHODS: We obtained high-resolution T1-weighted (T1w) and T2-weighted (T2w) MRI images using 7T scanners located at three sites in two countries: Pittsburgh (n = 14) and Texas (San Antonio and Houston) (n = 40) in the USA, and Nottingham, UK (n = 33). We evaluated the hippocampus subfields using the ASHS package [1-3]. Imaging sets of 51 subjects with minimal or no manual segmentation corrections (Figures 1 and 2) were included in the analysis. We conducted T-tests with Bonferroni correction, adjusting for age and intracranial volume to identify the differences in hippocampus subfield volumes across groups.
RESULTS: Participants who needed admission into the ICU due to Covid-19 showed a significantly lower (p-value = 0.0034) left CA1 volume compared to participants who did not require ICU (Figure 3). In addition, several other non-significant trends were observed.
CONCLUSIONS: Our preliminary findings suggest that Covid-19 may impact the hippocampus, particularly in patients who required intensive care. However, the study - as of to date - has a small sample size and lacks a comparison group with patients who were admitted into ICU for acute illnesses other than Covid-19. Additionally, longitudinal data is needed to track the long-term effects of the disease on the hippocampal subfields.
BACKGROUND: NIH R56AG074467, R01MH111265 and R01AG063525 References: 1. Berron et al. Neuroimage 2017 2. Yushkevich et al. Human Brain Mapping 2015 3. Santini et al. Neuroimage: clinical 2021.
摘要：
背景：海马形成萎缩是几种神经系统疾病的公认影像学生物标志物，包括老年痴呆症,颞叶癫痫,和精神分裂症。海马体分为具有不同功能的子场，对不同疾病的敏感性各不相同。这项研究调查了COVID-19与各种海马子场之间的潜在相互作用，这可能会揭示该病毒的长期神经系统后果。
方法：我们使用位于两个国家的三个地点的7T扫描仪获得了高分辨率T1加权（T1w）和T2加权（T2w）MRI图像：美国的匹兹堡（n=14）和德克萨斯州（圣安东尼奥和休斯顿）（n=40）。还有诺丁汉,英国（n=33）。我们使用ASHS软件包[1-3]评估了海马子场。分析中包括51个具有最小或没有手动分割校正的受试者的成像集(图1和图2)。我们用Bonferroni校正进行了T检验，调整年龄和颅内体积，以确定各组海马亚区体积的差异。
结果：与不需要ICU的参与者相比，因新冠肺炎而需要进入ICU的参与者显示出显著较低的左CA1体积(p值=0.0034)(图3)。此外,观察到其他几个非显著趋势.
结论：我们的初步研究结果表明，新冠肺炎可能会影响海马，特别是需要重症监护的患者。然而,到目前为止，这项研究的样本量很小，缺乏因新冠肺炎以外的急性疾病而进入ICU的患者的对照组。此外,需要纵向数据来追踪疾病对海马亚区的长期影响.
背景：NIHR56AG074467，R01MH111265和R01AG063525参考文献：1。Berron等人。神经影像2017年2。Yushkevich等人。2015年人脑图3。Santini等人。神经影像：临床2021年。
方法：我们使用位于两个国家的三个地点的7T扫描仪获得了高分辨率T1加权（T1w）和T2加权（T2w）MRI图像：美国的匹兹堡（n=14）和德克萨斯州（圣安东尼奥和休斯顿）（n=40）。还有诺丁汉,英国（n=33）。我们使用ASHS软件包[1-3]评估了海马子场。分析中包括51个具有最小或没有手动分割校正的受试者的成像集(图1和图2)。我们用Bonferroni校正进行了T检验，调整年龄和颅内体积，以确定各组海马亚区体积的差异。
结果：与不需要ICU的参与者相比，因新冠肺炎而需要进入ICU的参与者显示出显著较低的左CA1体积(p值=0.0034)(图3)。此外,观察到其他几个非显著趋势.
结论：我们的初步研究结果表明，新冠肺炎可能会影响海马，特别是需要重症监护的患者。然而,到目前为止，这项研究的样本量很小，缺乏因新冠肺炎以外的急性疾病而进入ICU的患者的对照组。此外,需要纵向数据来追踪疾病对海马亚区的长期影响.
背景：NIHR56AG074467，R01MH111265和R01AG063525参考文献：1。Berron等人。神经影像2017年2。Yushkevich等人。2015年人脑图3。Santini等人。神经影像：临床2021年。
