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首页> 外文期刊>Innovation in aging. >Brain Resilience: The Effect of White Matter Disease on Brain Networks in Cognitively Normal Older Adults
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Brain Resilience: The Effect of White Matter Disease on Brain Networks in Cognitively Normal Older Adults

机译:脑恢复力:白质疾病对认知普通成年人脑网络的影响

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Abstract Brain pathologies are increasingly understood to confer mobility risk, but the malleability of functional brain networks may be a mechanism for mobility reserve. In particular, white matter hyperintensities (WMH) are strongly associated with mobility and alter functional network connectivity. To assess the potential role of brain networks as a mechanism of mobility reserve, 116 participants with MRI from the Brain Networks and Mobility Function (B-NET) were categorized into 4 groups based on median splits of SPPB scores and WMH burden: Expected Healthy (EH: low WMH, SPPB10, N=45), Expected Impaired (EI: high WMH, SPPB10, N=24), Unexpected Impaired (EI: low WMH, SPPB10, N=10) and Unexpected Unhealthy (UH: low WMH, SPPB10, N=37). Functional brain networks were calculated using graph theory methods and white matter hyperintensities were quantified with the Lesion Segmentation Toolbox (LST) in SPM12. Somatomotor cortex community structure (SMC-CS) was similar between UH and EH with both having higher consistency than EI and UI. However, UH displayed a unique increase in second-order connections between the motor cortex and the anterior cingulate. It is possible that this increase in connections is a signal of higher reserve or resilience in UH participants and may indicate a mechanism of compensation in regards to mobility function and advanced WMH burden. These data suggest functional brain networks may be a mechanism for mobility resilience in older adults at mobility risk due to WMH burden.
机译:摘要脑病理越来越被理解为赋予移动性风险,但功能性脑网络的弹性能力可能是移动储备的机制。特别地,白质比度(WMH)与移动性强烈相关,改变功能网络连接。为了评估脑网络作为移动储备机制的潜在作用,116名与大脑网络和移动函数(B-NET)的参与者将基于SPPB分数的中位分裂和WMH负担分配为4组:预期健康(呃:低WMH,SPPB> 10,n = 45),预期受损(EI:高WMH,SPPB10,N = 24),意外受损(EI:低WMH,SPPB <10,N = 10)和意外不健康(UH :低WMH,SPPB <10,n = 37)。使用曲线理论方法计算功能性脑网络,用SPM12中的病变分段工具箱(LST)量化白金高度。 Somatomotor Cortex群落结构(SMC-CS)在UH和EH之间相似,均具有比EI和UI的一致性更高。然而,UH在电机皮层和前铰接之间显示出二阶连接的独特增加。这种连接的增加可能是UH参与者中更高的储备或弹性的信号,并且可以指示对移动功能和高级WMH负担方面的补偿机制。这些数据表明功能性脑网络可能是由于WMH负担而在移动性风险中的老年人的移动性恢复的机制。

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