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Characterisation of multimodal network organisation after focal prefrontal lesions in humans
medRxiv - Neurology Pub Date : 2020-12-11 , DOI: 10.1101/2020.12.09.20216903
MP Noonan , MR Geddes , RB Mars , LK Fellows

Lesion research in humans and non-human primates classically maps the behavioral effects of focal damage to the directly-injured brain region. However, given the interconnectedness of the brain, it has long been known that such damage can also have distant effects. Modern imaging methods provide new ways to assess those effects. Further, triangulating across these methods in a lesion model may shed light on the biological basis of structural and functional networks in the healthy brain. We characterised network organization assessed with multiple MRI imaging modalities in 13 patients with chronic focal damage affecting either superior or inferior frontal gyrus (SFG, IFG) and 18 demographically-matched healthy Controls. We first defined structural and functional network parameters for the two frontal regions-of-interest in healthy Controls, and then used voxel-based morphology (VBM) and tract-based spatial statistics (TBSS) analyses to investigate structural grey matter (GM) and white matter (WM) differences between patients and Controls. The functional and structural networks defined in healthy participants were then used to constrain interpretation of the whole brain network effects in patients. Finally, we applied dual regression to examine the differences in functional coupling to large-scale resting state networks (RSNs), focusing on the RSNs which most overlapped structurally with the lesion sites. Overall, the results show that lesions are associated with widespread within-network GM loss at sites distal from the lesion, yet leave WM and RSNs relatively preserved. Lesions to either prefrontal region had a very similar impact on structural networks, but SFG lesions had larger impact on RSNs than did IFG lesions. The findings provide evidence for causal contributions of specific prefrontal regions to structural and functional brain networks in humans, relevant to interpreting connectomic findings in studies of healthy people or those with psychiatric illnesses.

中文翻译:

人类局灶性额叶前病变后多峰网络组织的表征

对人类和非人类灵长类动物的病变研究经典地将局灶性损伤的行为效应映射到了直接受伤的大脑区域。但是,鉴于大脑的相互联系,人们早就知道这种损伤也会产生遥远的影响。现代成像方法提供了评估这些影响的新方法。此外,在病变模型中对这些方法进行三角剖分可以阐明健康大脑中结构和功能网络的生物学基础。我们对13例慢性局灶性损害影响上额或下额额回(SFG,IFG)的慢性局灶性损害患者和18位人口统计学匹配的健康对照进行了网络组织评估,并采用多种MRI成像方式进行了评估。我们首先为健康控件中的两个前额关注区域定义了结构和功能网络参数,然后使用基于体素的形态(VBM)和基于道的空间统计(TBSS)分析来研究患者和对照组之间的结构性灰质(GM)和白质(WM)差异。然后,将健康参与者中定义的功能和结构网络用于约束对患者全脑网络影响的解释。最后,我们应用对偶回归分析了功能耦合到大型静止状态网络(RSN)的差异,重点是与病变部位在结构上最重叠的RSN。总体而言,结果表明,病变与远离病变的部位广泛的网络内GM丢失有关,而WM和RSN却相对保留。任一前额叶区域的病变对结构网络的影响都非常相似,但是SFG病变对RSN的影响要大于IFG病变。这些发现为特定前额叶区域对人类结构和功能性大脑网络的因果贡献提供了证据,这与在健康人或患有精神疾病的人的研究中解释结缔组织发现有关。
更新日期:2020-12-13
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