Demuru Matteo, van Duinkerken Eelco, Fraschini Matteo, Marrosu Francesco, Snoek Frank J, Barkhof Frederik, Klein Martin, Diamant Michaela, Hillebrand Arjan
Department of Electrical and Electronic Engineering, University of Cagliari, Italy ; Department of Public Health, Clinic and Molecular Medicine, University of Cagliari, Italy.
Department of Medical Psychology, VU University Medical Centre, Amsterdam, The Netherlands ; Diabetes Centre/Department of Internal Medicine, VU University Medical Centre, Amsterdam, The Netherlands.
Neuroimage Clin. 2014 Jun 12;5:69-76. doi: 10.1016/j.nicl.2014.06.001. eCollection 2014.
Integrity of resting-state functional brain networks (RSNs) is important for proper cognitive functioning. In type 1 diabetes mellitus (T1DM) cognitive decrements are commonly observed, possibly due to alterations in RSNs, which may vary according to microvascular complication status. Thus, we tested the hypothesis that functional connectivity in RSNs differs according to clinical status and correlates with cognition in T1DM patients, using an unbiased approach with high spatio-temporal resolution functional network.
Resting-state magnetoencephalographic (MEG) data for T1DM patients with (n = 42) and without (n = 41) microvascular complications and 33 healthy participants were recorded. MEG time-series at source level were reconstructed using a recently developed atlas-based beamformer. Functional connectivity within classical frequency bands, estimated by the phase lag index (PLI), was calculated within eight commonly found RSNs. Neuropsychological tests were used to assess cognitive performance, and the relation with RSNs was evaluated.
Significant differences in terms of RSN functional connectivity between the three groups were observed in the lower alpha band, in the default-mode (DMN), executive control (ECN) and sensorimotor (SMN) RSNs. T1DM patients with microvascular complications showed the weakest functional connectivity in these networks relative to the other groups. For DMN, functional connectivity was higher in patients without microangiopathy relative to controls (all p < 0.05). General cognitive performance for both patient groups was worse compared with healthy controls. Lower DMN alpha band functional connectivity correlated with poorer general cognitive ability in patients with microvascular complications.
Altered RSN functional connectivity was found in T1DM patients depending on clinical status. Lower DMN functional connectivity was related to poorer cognitive functioning. These results indicate that functional connectivity may play a key role in T1DM-related cognitive dysfunction.
静息态功能脑网络(RSNs)的完整性对于正常认知功能至关重要。在1型糖尿病(T1DM)中,认知功能减退较为常见,可能是由于RSNs的改变,而这种改变可能因微血管并发症状态而异。因此,我们使用具有高时空分辨率功能网络的无偏方法,检验了RSNs中功能连接根据临床状态不同而有所差异且与T1DM患者认知相关的假设。
记录了有(n = 42)和无(n = 41)微血管并发症的T1DM患者以及33名健康参与者的静息态脑磁图(MEG)数据。使用最近开发的基于图谱的波束形成器重建源水平的MEG时间序列。通过相位滞后指数(PLI)估计的经典频段内的功能连接,在八个常见的RSNs中进行计算。使用神经心理学测试评估认知表现,并评估其与RSNs的关系。
在较低的阿尔法波段、默认模式(DMN)、执行控制(ECN)和感觉运动(SMN)RSNs中,观察到三组之间RSN功能连接存在显著差异。相对于其他组,有微血管并发症的T1DM患者在这些网络中表现出最弱的功能连接。对于DMN,无微血管病变的患者相对于对照组功能连接更高(所有p < 0.05)。与健康对照组相比,两组患者的一般认知表现均较差。较低的DMN阿尔法波段功能连接与有微血管并发症患者较差的一般认知能力相关。
在T1DM患者中发现RSN功能连接根据临床状态而改变。较低的DMN功能连接与较差的认知功能相关。这些结果表明功能连接可能在T1DM相关的认知功能障碍中起关键作用。